{"id":"W4386365079","doi":"10.1016/j.cognition.2023.105583","title":"Making sense of domain specificity","year":2023,"lang":"en","type":"article","venue":"Cognition","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Arts and Humanities Research Council","keywords":"Empiricism; Domain (mathematical analysis); Epistemology; Sketch; Cognition; Cognitive science; Psychology; Rationalism; Domain specificity; Mechanism (biology); Cognitive psychology; Computer science; Philosophy; Neuroscience","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":[0.000119152,0.00003460419,0.00005132302,0.00008008776,0.0001913554,0.00001864223,0.00003472761,0.00001103689,0.0007336045],"category_scores_gemma":[0.00000865416,0.00003391607,0.0000284682,0.00004468348,0.0002505058,0.0001127302,0.00001239898,0.00003286669,0.0004289562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007725197,"about_ca_system_score_gemma":0.000006498605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002555591,"about_ca_topic_score_gemma":0.00003087946,"domain_scores_codex":[0.9996523,0.00001253562,0.0000804981,0.00007811465,0.0001022837,0.00007421918],"domain_scores_gemma":[0.9998246,0.00002196342,0.00003981668,0.00005209073,0.00004861151,0.00001293153],"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":[0.00003623631,0.00005861263,0.00001684811,0.00006662054,0.000009662609,0.00003189121,0.03410964,0.000002910416,0.01222069,0.9397658,0.009228702,0.00445241],"study_design_scores_gemma":[0.0003266061,0.0001160255,0.001108089,0.0001370808,0.00002044691,0.000005420408,0.00713959,0.000115,0.00259958,0.6227486,0.3654593,0.0002242981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4131934,0.00001936574,0.0000338128,0.0001896078,0.0003749203,0.00004537666,0.00003286988,0.00008309588,0.5860275],"genre_scores_gemma":[0.9987194,0.000004520124,0.00003161511,0.00009414003,0.0002905029,0.00000228477,0.00001166427,0.000003107307,0.0008427987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5855259,"threshold_uncertainty_score":0.8032455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808368444180412,"score_gpt":0.2791867644710202,"score_spread":0.09834992005297902,"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."}}