{"id":"W4411344542","doi":"10.46747/cfp.7106406","title":"Trends colliding","year":2025,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; Ontario Medical Association; Queen's University; NOSM University; Institut du Savoir Montfort; Western University","funders":"University of Ottawa","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004025836,0.001130758,0.001018274,0.0139155,0.00171555,0.005049051,0.001882027,0.001152236,0.2348632],"category_scores_gemma":[0.01657896,0.0008090389,0.001118177,0.0210951,0.0004945917,0.003986904,0.004346278,0.0013901,0.1369795],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378494,"about_ca_system_score_gemma":0.0169192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09874061,"about_ca_topic_score_gemma":0.1091329,"domain_scores_codex":[0.9956988,0.0004666038,0.0009414242,0.0008269346,0.001540805,0.0005255038],"domain_scores_gemma":[0.9852244,0.001347152,0.001710191,0.001652074,0.008994285,0.001071987],"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":[0.00007471952,0.00001525874,0.006378131,0.001187687,0.00003028198,0.0001008988,0.0003593246,0.00006235714,0.0001373003,0.002885593,0.9113748,0.07739368],"study_design_scores_gemma":[0.00001552234,0.000008075176,0.007729694,0.0004473371,0.00001469751,0.00004569283,0.0002176638,0.00005553452,0.00005781146,0.0005134573,0.9908829,0.00001159713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.002675489,0.002786407,0.002734955,0.006386862,0.003067112,0.0009086388,0.7558943,0.002854022,0.2226923],"genre_scores_gemma":[0.01998726,0.007633617,0.009560071,0.003080681,0.002084897,0.002368279,0.7476057,0.002651727,0.2050278],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.996215,"threshold_uncertainty_score":0.7856956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08617651219680979,"score_gpt":0.4008002154079328,"score_spread":0.314623703211123,"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."}}