{"id":"W4407719875","doi":"10.46747/cfp.7102144","title":"The differences that unite us","year":2025,"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":"Data science; Computer science; World Wide Web; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.004135757,0.0006965047,0.0006110578,0.001461984,0.01369523,0.008885726,0.001727736,0.003849793,0.08876297],"category_scores_gemma":[0.01621068,0.0003443084,0.0006163333,0.001327871,0.01012886,0.007590021,0.008647538,0.01105481,0.03074082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01114881,"about_ca_system_score_gemma":0.02075872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1936525,"about_ca_topic_score_gemma":0.2871987,"domain_scores_codex":[0.9908867,0.001431221,0.0001894014,0.0008832488,0.003824746,0.002784731],"domain_scores_gemma":[0.991265,0.0005476193,0.0003077983,0.0004467041,0.002859686,0.004573213],"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":[0.00002683115,0.00002874595,0.002048301,0.00006121017,0.00001369583,0.000199439,0.004330738,0.00003257964,0.0002082445,0.05207787,0.8836797,0.05729261],"study_design_scores_gemma":[0.000008237241,0.00001245,0.001963668,0.0001686428,0.000009386666,0.0002354129,0.006077189,0.0000205585,0.0000712397,0.01169107,0.9797172,0.0000249696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00650406,0.008058756,0.002083485,0.5777102,0.0342082,0.00007414755,0.0007423779,0.000526606,0.370092],"genre_scores_gemma":[0.1814429,0.01246484,0.005398515,0.4332339,0.01342946,0.0003322297,0.001537353,0.001876999,0.3502838],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1936525,"threshold_uncertainty_score":0.3850507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779053983879246,"score_gpt":0.3628456061768759,"score_spread":0.3050550663380835,"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."}}