{"id":"W2901869660","doi":"","title":"Beyond prevention: Primary care providers in the cancer system","year":2019,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Primary care; Primary health care; Computer science; Cancer; World Wide Web; Data science; Medicine; Family medicine; Environmental health; Internal medicine","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":[0.00266722,0.0003517442,0.0006287849,0.001533972,0.003062173,0.004465833,0.001042462,0.003306982,0.01238924],"category_scores_gemma":[0.01590056,0.0003706662,0.0004975956,0.005029673,0.0023852,0.002636461,0.001450326,0.003842876,0.0002466544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0502058,"about_ca_system_score_gemma":0.07844513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9586824,"about_ca_topic_score_gemma":0.9704937,"domain_scores_codex":[0.9972513,0.000854557,0.00005051519,0.0001099586,0.0004757823,0.001257913],"domain_scores_gemma":[0.9883797,0.004051388,0.001382684,0.0001469194,0.002051456,0.003987866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003499438,0.0006244506,0.3553142,0.000644802,0.0002528609,0.00144212,0.002917975,0.03280958,0.0002402091,0.3457956,0.1970662,0.062542],"study_design_scores_gemma":[0.0003224204,0.0002642138,0.5499994,0.002378289,0.0005504036,0.0006724625,0.02806927,0.05151116,0.0003421349,0.222821,0.1428385,0.0002308096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2055613,0.0341608,0.002312151,0.6863521,0.0009895961,0.0001250137,0.004051941,0.00004407141,0.06640295],"genre_scores_gemma":[0.9668018,0.01702275,0.000473202,0.007511944,0.000851669,0.000025628,0.00039194,0.0000122152,0.006908899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9586824,"threshold_uncertainty_score":0.3642703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630698952082505,"score_gpt":0.2033667940535362,"score_spread":0.1870598045327111,"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."}}