{"id":"W7096934275","doi":"","title":"Pharmaceuticals:Therapeutic Interchange and Pricing Policies","year":2003,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public policy; Government (linguistics); Policy analysis; Control (management); Negotiation","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":[0.002967203,0.0007365998,0.0006200626,0.002484656,0.001526867,0.008037908,0.001027805,0.007906053,0.08941779],"category_scores_gemma":[0.01645026,0.0005082907,0.000875004,0.004849226,0.001742532,0.004525787,0.001375186,0.00421906,0.03383391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005270373,"about_ca_system_score_gemma":0.006286479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011147,"about_ca_topic_score_gemma":0.009023596,"domain_scores_codex":[0.9958864,0.001036409,0.0002639995,0.0003586338,0.00201711,0.0004373708],"domain_scores_gemma":[0.9949517,0.001829388,0.0006764851,0.0007946047,0.001156614,0.0005910917],"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":[0.0002275454,0.0001273491,0.0009988686,0.0001672479,0.00002598164,0.0001000473,0.0001011033,0.001068198,0.0005840446,0.4279702,0.4698381,0.09879132],"study_design_scores_gemma":[0.00008798196,0.00007200643,0.002910832,0.0001608424,0.00005056361,0.0004563985,0.00007529172,0.001505637,0.0008913779,0.08127557,0.9124752,0.00003835405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005658661,0.00990923,0.008297487,0.05612544,0.002080423,0.0001335661,0.008239584,0.001007464,0.9085482],"genre_scores_gemma":[0.2285385,0.02013118,0.01911031,0.03013305,0.007623218,0.00049563,0.006829024,0.0008141061,0.686325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08941779,"threshold_uncertainty_score":0.2991323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475568310107744,"score_gpt":0.3356307257229736,"score_spread":0.1880738947121992,"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."}}