{"id":"W3111148310","doi":"10.46747/cfp.6612940","title":"Advancing family medicine, improving lives","year":2020,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Data science; Medicine; Medical education; Family medicine; Library science; Computer science; Engineering","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":[0.007670312,0.0005811094,0.0004924942,0.001397587,0.0148616,0.008680888,0.001424756,0.005350897,0.02576548],"category_scores_gemma":[0.02542232,0.0002653401,0.0004479026,0.001110927,0.009016644,0.006955376,0.006036251,0.01005634,0.004267099],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01909855,"about_ca_system_score_gemma":0.1061774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3464021,"about_ca_topic_score_gemma":0.625672,"domain_scores_codex":[0.9946129,0.001385079,0.0001612705,0.0003438814,0.001874525,0.001622368],"domain_scores_gemma":[0.9624277,0.00292158,0.0008888254,0.0009439074,0.008642182,0.02417582],"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":[0.00001436577,0.0001049744,0.002473607,0.0001672359,0.00001253397,0.000144008,0.003501986,0.00004251207,0.0001467069,0.01501195,0.8628362,0.1155439],"study_design_scores_gemma":[0.00001684448,0.00003274059,0.005802615,0.0009861019,0.00001198553,0.000236508,0.007044746,0.00002453879,0.00007755934,0.01195296,0.9737859,0.00002759004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001395451,0.02634563,0.0003999983,0.9281486,0.009898145,0.00002476868,0.00007807882,0.00009518203,0.03361413],"genre_scores_gemma":[0.1437985,0.1470772,0.01171494,0.5862497,0.02548666,0.0001784537,0.0003582946,0.0002060124,0.08493017],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9809014,"threshold_uncertainty_score":0.6887716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05246953786869673,"score_gpt":0.3546422877074479,"score_spread":0.3021727498387512,"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."}}