{"id":"W4366337511","doi":"10.46747/cfp.6904298","title":"Family medicine matters","year":2023,"lang":"en","type":"article","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":"Milestone; Privilege (computing); Specialty; Computer science; Data science; Medicine; Medical education; Family medicine; History; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001752078,0.0005841155,0.0006356128,0.000988635,0.007331577,0.003559673,0.001143192,0.006349536,0.5006205],"category_scores_gemma":[0.0198101,0.000364556,0.0005847249,0.0005467497,0.001577608,0.003292515,0.0027916,0.005892493,0.1789847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003341116,"about_ca_system_score_gemma":0.01235164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05902635,"about_ca_topic_score_gemma":0.103656,"domain_scores_codex":[0.9975156,0.0003716122,0.00006919623,0.0002598808,0.0009369931,0.0008467312],"domain_scores_gemma":[0.982372,0.001009433,0.0004975686,0.0004481456,0.005735329,0.009937507],"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":[0.000002120197,0.000006579056,0.000194001,0.00001510747,0.000001074892,0.00005661426,0.00005476049,0.000002714239,0.00001164145,0.0003949187,0.9872187,0.01204177],"study_design_scores_gemma":[0.000002859575,0.000005116417,0.0008345168,0.0001566062,0.000001596592,0.0003100885,0.0003527163,0.00000699498,0.00001325289,0.0004593697,0.9978507,0.000006236636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008675532,0.006815913,0.0003288206,0.6325912,0.05654776,0.00007301397,0.001066321,0.0005001211,0.3012093],"genre_scores_gemma":[0.01780852,0.008977084,0.00047516,0.3510197,0.02463921,0.00008627612,0.0007753271,0.0003988903,0.5958197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5006205,"threshold_uncertainty_score":0.7123042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08462747411242398,"score_gpt":0.3905454283718767,"score_spread":0.3059179542594527,"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."}}