{"id":"W4385841173","doi":"10.46747/cfp.6908522","title":"Response to Lavergne et al","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blame; Population; Medicine; Data science; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006372426,0.00121527,0.001869029,0.001066056,0.01086025,0.005597922,0.004205931,0.06760913,0.0136808],"category_scores_gemma":[0.03520523,0.001041476,0.001744911,0.001222095,0.004230904,0.004181033,0.003219151,0.05847169,0.009231756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01109835,"about_ca_system_score_gemma":0.02377566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0717655,"about_ca_topic_score_gemma":0.1391768,"domain_scores_codex":[0.9934595,0.001141433,0.000484399,0.001059375,0.002325579,0.001529679],"domain_scores_gemma":[0.9857126,0.004565747,0.0007137138,0.0003267378,0.004484474,0.004196629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000011779,0.000007057549,0.0001010062,0.00001434411,0.000002828691,0.0001803447,0.00008778795,0.000008543472,0.000024147,0.0003870701,0.9980797,0.001095416],"study_design_scores_gemma":[0.00004822334,0.00003634484,0.0009161597,0.0003117498,0.00001515186,0.0005993948,0.001198335,0.0001481252,0.0001229973,0.002016155,0.9945186,0.00006875621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001467186,0.0004614661,0.00004107213,0.9756767,0.02159461,0.00001658137,0.00009540853,0.00003224597,0.001935157],"genre_scores_gemma":[0.0007249522,0.0001730187,0.00005461473,0.9869308,0.008037598,0.00002415489,0.00002165094,0.00001389768,0.004019353],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0717655,"threshold_uncertainty_score":0.1426956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06968179586556575,"score_gpt":0.3920054766567614,"score_spread":0.3223236807911957,"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."}}