{"id":"W4376630318","doi":"10.46747/cfp.6905309_1","title":"Response","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Column (typography); Family medicine; Residency training; Medical education; Computer science; Medicine; Data science; Continuing education; Telecommunications","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":[0.002502876,0.0008223864,0.000884828,0.0006177998,0.004938779,0.002835257,0.001747117,0.02299956,0.03540571],"category_scores_gemma":[0.02172971,0.0004908738,0.0007133203,0.0005485111,0.001674467,0.002207809,0.00238044,0.02278064,0.02271498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006366252,"about_ca_system_score_gemma":0.00866094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03629941,"about_ca_topic_score_gemma":0.03756108,"domain_scores_codex":[0.9971048,0.0006663197,0.0002264348,0.0003594813,0.001004536,0.0006384358],"domain_scores_gemma":[0.9908353,0.002081619,0.0006064278,0.0001871916,0.004582602,0.001706932],"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":[0.00001097086,0.000004284524,0.0001403581,0.00001550359,0.000001739503,0.0001090143,0.00007881051,0.000008328229,0.00003971244,0.000301554,0.9984033,0.0008865722],"study_design_scores_gemma":[0.0000265794,0.00002460857,0.001267529,0.0002160168,0.000008686162,0.0007828805,0.002089299,0.0001385624,0.000191281,0.001238881,0.9939556,0.00006018694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004262021,0.0003468657,0.000128665,0.9695793,0.02242247,0.00005939785,0.0004487731,0.0001176947,0.006470661],"genre_scores_gemma":[0.002346306,0.0002088106,0.0001401936,0.9746073,0.003597937,0.00008163691,0.00008348533,0.00003700504,0.01889726],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03629941,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07918451425728988,"score_gpt":0.3770404040742236,"score_spread":0.2978558898169337,"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."}}