{"id":"W3164147127","doi":"","title":"National Canadian Pharmacare: Pros, Cons, and Challenges","year":2021,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Health care; Jurisdiction; Public relations; Variety (cybernetics); Business; Club; Political science; Medicine; Nursing; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213318,0.0001548938,0.0002482237,0.0003874489,0.0006269965,0.0002345119,0.0001159333,0.00009573635,0.0002316303],"category_scores_gemma":[0.0007695672,0.0001301468,0.00009084208,0.0003307701,0.0002149586,0.0003260869,0.00009327582,0.001609405,0.00007570097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514441,"about_ca_system_score_gemma":0.003782961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005708209,"about_ca_topic_score_gemma":0.00179617,"domain_scores_codex":[0.9965001,0.0006111465,0.0003087005,0.000314019,0.00149632,0.0007697165],"domain_scores_gemma":[0.9962486,0.0005881864,0.00006643884,0.0001425281,0.001405328,0.001548888],"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":[0.003071971,0.00345014,0.1498832,0.005093914,0.005449873,0.0316496,0.004240847,0.00009050152,0.1097368,0.2772448,0.2978453,0.112243],"study_design_scores_gemma":[0.004137403,0.0004054048,0.003565738,0.0002682125,0.0001128622,0.01040054,0.0008004679,0.001190586,0.003315697,0.01575011,0.9597595,0.0002934326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02176915,0.0273909,0.00000943644,0.869938,0.0004709766,0.0004187491,0.00002818399,0.00002731497,0.07994736],"genre_scores_gemma":[0.8612083,0.1342778,0.0002158091,0.001571603,0.0005186696,0.00001123111,0.00001987224,0.00002515767,0.002151488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8683663,"threshold_uncertainty_score":0.6992155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3427522275347525,"score_gpt":0.4780888288364714,"score_spread":0.1353366013017188,"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."}}