{"id":"W2993991143","doi":"10.1503/cmaj.190601","title":"Population and Public Health","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; Alberta Health Services","funders":"","keywords":"Health care; Public health; Medicine; Population; Health equity; Family medicine; Data science; Gerontology; Environmental health; Computer science; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002146387,0.0004496882,0.0005272301,0.002129565,0.001739812,0.004123467,0.001174847,0.002519625,0.0923171],"category_scores_gemma":[0.007102028,0.0001709963,0.0003589282,0.002413986,0.001586251,0.001656214,0.003421288,0.00303588,0.009416872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009576842,"about_ca_system_score_gemma":0.02645431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2205419,"about_ca_topic_score_gemma":0.1947014,"domain_scores_codex":[0.9971655,0.0005653912,0.00007815368,0.0002378372,0.00121357,0.0007396482],"domain_scores_gemma":[0.9971879,0.0003385141,0.0001637274,0.0001287786,0.0007667971,0.001414335],"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":[0.00004355211,0.00006558999,0.01177837,0.0003821306,0.00004861249,0.00013601,0.0004961783,0.0001463567,0.0001323737,0.05210237,0.7761539,0.1585144],"study_design_scores_gemma":[0.00002472027,0.0000574013,0.05066294,0.001441163,0.00003429841,0.0002178164,0.001252619,0.0001688952,0.00006976746,0.01956533,0.9264787,0.00002626625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.007282794,0.05780935,0.001656012,0.5326489,0.01127977,0.0002347029,0.02357361,0.0006927543,0.3648221],"genre_scores_gemma":[0.3837526,0.1043911,0.005715607,0.1857513,0.02442108,0.0008324431,0.03894634,0.0004106502,0.2557789],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2205419,"threshold_uncertainty_score":0.4385163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2903417313282183,"score_gpt":0.5867645150594479,"score_spread":0.2964227837312297,"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."}}