{"id":"W4407157045","doi":"10.1016/j.neuron.2025.01.003","title":"The post-“standard model” age: Updating theories of systems consolidation","year":2025,"lang":"en","type":"article","venue":"Neuron","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; Mental Health Research Canada; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Consolidation (business); Psychology; Neuroscience; Computer science; Cognitive science; Econometrics; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00277149,0.0001042148,0.000280205,0.0001723589,0.0004052999,0.0006417108,0.0006623174,0.00004263797,0.00001878453],"category_scores_gemma":[0.004871444,0.00005928973,0.00009431779,0.000522823,0.0001222147,0.0001649933,0.000221921,0.0001090311,0.00002224135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002089578,"about_ca_system_score_gemma":0.0001119866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004146718,"about_ca_topic_score_gemma":0.00003172933,"domain_scores_codex":[0.997168,0.0003649952,0.000904977,0.0003074218,0.001083232,0.0001713805],"domain_scores_gemma":[0.9943362,0.003830766,0.0003853342,0.0007678246,0.0006476981,0.0000321062],"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":[0.0001014943,0.000007378538,0.0009019074,0.000009836278,0.000007303813,0.000003325666,0.0002803324,0.009082964,0.002138257,0.960353,0.009390185,0.01772402],"study_design_scores_gemma":[0.0006668232,0.0001622869,0.004745124,0.0001851247,0.0000218878,0.00001314436,0.005714012,0.2767901,0.001063301,0.603943,0.1064617,0.0002335328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6529215,0.001901996,0.1811898,0.001325499,0.00448231,0.0008446306,0.00007079577,0.0001140883,0.1571493],"genre_scores_gemma":[0.9954237,0.000004563277,0.0001577231,0.0001264407,0.00003676147,0.000008864167,7.784042e-7,0.000006175273,0.004234998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3564099,"threshold_uncertainty_score":0.6188031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07438955347985876,"score_gpt":0.3864740442943525,"score_spread":0.3120844908144937,"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."}}