{"id":"W2163761035","doi":"","title":"Ontario Generic Drug Wars, Part 2: Did Retail Pharmacy Need Rebates?","year":2010,"lang":"en","type":"article","venue":"Insights (Essays)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pharmacy; Business; Drug; Marketing; Medicine; Pharmacology; Family medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003266618,0.0001975277,0.0002303443,0.0000831182,0.0007362017,0.0001748419,0.0005494973,0.0001234124,0.003357045],"category_scores_gemma":[0.0001624923,0.0001860768,0.0001169889,0.0003934041,0.000385426,0.0004996308,0.00005514363,0.0005681323,0.0004949622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624293,"about_ca_system_score_gemma":0.001164519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8111622,"about_ca_topic_score_gemma":0.9806465,"domain_scores_codex":[0.9981405,0.0001130523,0.0002784478,0.0003782308,0.0004837039,0.0006060445],"domain_scores_gemma":[0.9987693,0.0001122339,0.0001676781,0.0004017108,0.00009049432,0.0004585872],"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":[0.00004691998,0.000130298,0.01068754,0.00001374274,0.00006163194,0.0001714638,0.09620006,0.000004889219,0.003388562,0.2103541,0.6684072,0.0105336],"study_design_scores_gemma":[0.0003693611,0.000006863189,0.002215198,0.00001369977,0.00001888755,0.000003496449,0.0001702036,0.00001409624,0.001052308,0.006404035,0.9894436,0.0002882485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7561185,0.0002411927,0.000006394405,0.0103189,0.001969424,0.0002295423,0.00003955198,0.00009632739,0.2309802],"genre_scores_gemma":[0.8495802,0.0001495461,0.00008607586,0.003957032,0.001598907,0.00002341548,0.000009853072,0.00002126664,0.1445737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3210364,"threshold_uncertainty_score":0.997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348895711708145,"score_gpt":0.2739693270383922,"score_spread":0.2404803699213107,"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."}}