{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01506658,0.0009095823,0.000902961,0.002920549,0.004186898,0.01324256,0.002357661,0.004861744,0.004922361],"category_scores_gemma":[0.02266588,0.0006662123,0.0009821919,0.001597702,0.05903575,0.02754651,0.01074264,0.007915226,0.0009430987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004080891,"about_ca_system_score_gemma":0.002918568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892455,"about_ca_topic_score_gemma":0.00127516,"domain_scores_codex":[0.9898822,0.0060304,0.0004297154,0.001864917,0.001170956,0.0006217549],"domain_scores_gemma":[0.9790725,0.01290908,0.001148594,0.004325037,0.001647196,0.0008976538],"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":[0.000005541162,0.000003026402,0.0001738197,0.00002169025,0.000006737105,0.00004365109,0.001872518,0.0001532307,0.00007814899,0.9938844,0.0008235163,0.002933781],"study_design_scores_gemma":[0.000004013654,0.00000321027,0.0001012384,0.00003880083,0.000005274374,0.00007036329,0.0006923774,0.0002774974,0.0001049475,0.9794389,0.01925725,0.000006157935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04888532,0.01450984,0.3354896,0.1429677,0.002075302,0.00008645425,0.0001880042,0.0003874285,0.4554104],"genre_scores_gemma":[0.9378034,0.004066326,0.0371109,0.009994333,0.0009943816,0.0001250216,0.0001302079,0.000209706,0.009565711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01506658,"threshold_uncertainty_score":0.07968062,"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."}}