{"id":"W4293202069","doi":"10.1561/2600000027","title":"Adaptive Internal Models in Neuroscience","year":2022,"lang":"en","type":"article","venue":"Foundations and Trends® in Systems and Control","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroscience; Computational neuroscience; Cognitive science; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279268,0.0008002132,0.0008293478,0.000869708,0.0005517927,0.002763121,0.001270042,0.002355733,0.006205887],"category_scores_gemma":[0.0030013,0.0002845198,0.0009813327,0.0006199022,0.003593159,0.003723689,0.001611822,0.003056842,0.001362415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850239,"about_ca_system_score_gemma":0.0009307362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420952,"about_ca_topic_score_gemma":0.0008026272,"domain_scores_codex":[0.9993591,0.0002999087,0.00003346961,0.0001158655,0.000144275,0.00004741974],"domain_scores_gemma":[0.9989403,0.0007273178,0.00005489109,0.0001359087,0.0001068673,0.00003483404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002889466,0.000004178129,0.00005978587,0.00005831122,0.00001027305,0.00001982925,0.00007397116,0.005934749,0.00008618357,0.984547,0.002897155,0.006305551],"study_design_scores_gemma":[0.000003036805,0.000005533685,0.00005042431,0.00002794069,0.000003357861,0.00001993154,0.00001925953,0.01402456,0.00003722586,0.9731767,0.01262665,0.000005366757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008526666,0.05096459,0.7169909,0.02425366,0.002546339,0.00006446683,0.0003461318,0.0008307262,0.1954765],"genre_scores_gemma":[0.6844355,0.0579602,0.1843075,0.007514565,0.006779268,0.0008768947,0.0007673625,0.000499823,0.05685896],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006205887,"threshold_uncertainty_score":0.02076077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807900556773028,"score_gpt":0.2550144430613092,"score_spread":0.2269354374935789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}