{"id":"W3160656355","doi":"10.1016/j.patter.2021.100268","title":"The overfitted brain hypothesis","year":2021,"lang":"en","type":"article","venue":"Patterns","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Canadian Institute for Advanced Research; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Overfitting; Cognitive science; Psychology; Generative grammar; Computer science; Artificial intelligence; Cognitive psychology; Neuroscience; Machine learning; Artificial neural network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006842244,0.0000611001,0.00004965316,0.00001149557,0.0002080723,0.0001015305,0.0001209552,0.00002005911,0.0002131344],"category_scores_gemma":[0.0007431083,0.00004148331,0.00004648826,0.0001245739,0.00002364404,0.00004849715,0.00005593784,0.00008092578,0.0001219773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001371136,"about_ca_system_score_gemma":0.00001354186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001050674,"about_ca_topic_score_gemma":0.00006922308,"domain_scores_codex":[0.9993027,0.0000974341,0.00008571686,0.0002046545,0.0001459925,0.0001634659],"domain_scores_gemma":[0.9988327,0.0008631144,0.00003019724,0.0002256444,0.00001606739,0.00003227853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008626746,0.00003147545,0.004930296,0.00000596323,0.000003415729,0.00007585424,0.00004263196,0.000007420216,0.9425005,0.003791677,0.003938442,0.04466365],"study_design_scores_gemma":[0.0003324285,0.00004780931,0.1152582,0.00001792416,0.000008061693,0.00009800267,0.00007182793,0.003338136,0.7848758,0.00750206,0.0882137,0.0002361292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826912,0.00001455398,0.0003321478,0.01339457,0.0005731828,0.00005232939,0.00002042685,0.00004714356,0.002874416],"genre_scores_gemma":[0.9878085,0.0000519813,0.00001037746,0.007304488,0.00008457674,0.000007003797,0.000001399123,0.00001009444,0.004721578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576248,"threshold_uncertainty_score":0.2333672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817213417258606,"score_gpt":0.247623851910012,"score_spread":0.2094517177374259,"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."}}