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10 merged results for "Turing Machines"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

Source status
  1. Allocentric navigation is computationally universal.

    Piccinini G · 2026 · Journal of biological physics

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s10867-026-09726-9

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. Turing-like tests for language and vision demonstrate a narrowing gap between humans and AI.

    Zhang M, Pavarino E, Liu X, Dellaferrera G · 2026 · Nature human behaviour

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1038/s41562-026-02590-6

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. Dictionary learning for kernel EDMD.

    Bolager EL, Hamzi B, Owhadi H, Kevrekidis IG · 2026 · Chaos (Woodbury, N.Y.)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1063/5.0341144

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Applying psychometrics to large language model simulated populations: recreating the HEXACO personality inventory experiment with generative agents.

    Mercer S, Martin D, Swatton P · 2026 · Royal Society open science

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1098/rsos.251802

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. Counting observables in stochastic excursions.

    Fiusa G, Harunari PE, Hegde AS, Landi GT · 2026 · Physical review. E

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1103/1blp-2b27

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Coarsening dynamics of fingerprint labyrinthine patterns: Machine learning-assisted characterization.

    Ghosh S, Okubo VY, Shimizu K, Shivaram BS · 2026 · Physical review. E

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1103/djsd-6fkg

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Framework for fluctuating times and counting observables in stochastic excursions.

    Fiusa G, Harunari PE, Hegde AS, Landi GT · 2026 · Physical review. E

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1103/jydr-1853

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. Machine learning predicts treatment response to nusinersen in non-sitter spinal muscular atrophy (SMA).

    Stimpson G, O'Reilly E, Coratti G, Ridout D · 2026 · Journal of neuromuscular diseases

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1177/22143602261496327

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. Genome-Wide Characterization of the GT4 Gene Family in Cotton.

    Zhang K, Lin J, Wei X, Zheng Z · 2026 · Biology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/biology15191709

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. Bridging Machine Learning and Algorithmic Information Theory, Part VII: Algorithmic Information Kernels and Kernel Discrepancies on Countable Spaces.

    Hamzi B, Hutter M, Owhadi H · 2026 · Entropy (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/e28101084

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer