{"id":"W1976155214","doi":"10.1016/s1098-3015(11)71663-1","title":"PHP2: GASTROINTESTINAL DRUG POLICY, DRUG SELECTION AND RESOURCE UTILIZATION—A COMPARISON OF THE CANADIAN PROVINCES OF QUEBEC AND ONTARIO","year":2001,"lang":"en","type":"article","venue":"Value in Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drug; Selection (genetic algorithm); Resource (disambiguation); Business; Geography; Medicine; Pharmacology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001909521,0.0004916068,0.0007402379,0.002676634,0.003712974,0.002715178,0.001981667,0.0009277831,0.004469835],"category_scores_gemma":[0.006761638,0.0004602789,0.001666184,0.01078624,0.001130868,0.0008059607,0.00134147,0.000834194,0.0002135762],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.126902,"about_ca_system_score_gemma":0.1453533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999562,"about_ca_topic_score_gemma":0.9997692,"domain_scores_codex":[0.9976739,0.0002767283,0.000115293,0.0001428987,0.000793453,0.0009977665],"domain_scores_gemma":[0.9918899,0.0008445958,0.001395444,0.0001800853,0.003445809,0.002244179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005901955,0.0001012822,0.9460987,0.0003537066,0.0004811987,0.0002362067,0.001966486,0.0036252,0.0002172335,0.003650937,0.02407993,0.01859887],"study_design_scores_gemma":[0.00005667366,0.00003461244,0.9888836,0.00009342598,0.00008031617,0.00004967029,0.002003041,0.001463695,0.00008379389,0.000103304,0.007120297,0.00002751162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319924,0.005061527,0.0005656375,0.007292086,0.00008512877,0.0002360009,0.03997042,0.00007852608,0.01471841],"genre_scores_gemma":[0.986244,0.001376718,0.0005446915,0.0005899167,0.00002364708,0.00007995495,0.00608875,0.00002096257,0.005031378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.873098,"threshold_uncertainty_score":0.9207431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418445564258011,"score_gpt":0.3087541142065456,"score_spread":0.2645696585639655,"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."}}