{"id":"W1917114566","doi":"","title":"Canadian Association of Interns and Residents","year":2000,"lang":"en","type":"article","venue":"PubMed Central","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data science; Association (psychology); Computer science; Medicine; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467313,0.00003551587,0.00008085735,0.00006462588,0.00003478197,0.00001397302,0.00003417168,0.00004595803,0.0005294445],"category_scores_gemma":[0.00005676215,0.00004080021,0.0000196431,0.00005495314,0.000007193449,0.00009537944,0.000004284097,0.00003706772,0.00004528413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890368,"about_ca_system_score_gemma":0.00002491506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02482186,"about_ca_topic_score_gemma":0.01622042,"domain_scores_codex":[0.9994313,0.000007554233,0.0001738236,0.00009076014,0.00002613048,0.0002704201],"domain_scores_gemma":[0.9997191,0.00001910978,0.00008295432,0.00004336234,0.00001050842,0.0001249588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008130323,0.000006468117,0.9819527,0.000004023219,0.000008905774,1.924593e-7,0.0001225123,0.00001508489,8.717037e-7,0.01157624,0.0007855929,0.005519261],"study_design_scores_gemma":[0.0001355165,0.000003292465,0.9771488,0.000005183606,0.000001483683,3.610326e-7,0.000003443282,0.0001606298,0.00001724776,0.008372089,0.01410921,0.00004274653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838577,0.000123291,0.000004842621,0.001266484,0.0002531036,0.00006715504,0.00009870649,0.00000480756,0.01432392],"genre_scores_gemma":[0.9917782,0.0000409561,0.00005889108,0.0001210937,0.0000873356,0.000003673944,0.00002688688,0.000003607019,0.007879346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332362,"threshold_uncertainty_score":0.9816719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484306744868336,"score_gpt":0.1969853584689682,"score_spread":0.1821422910202848,"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."}}