{"id":"W2335916510","doi":"10.1097/tp.0000000000000782","title":"What Is the Future of Generics in Transplantation?","year":2015,"lang":"en","type":"review","venue":"Transplantation","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generic drug; Innovator; Medicine; Drug; Bioequivalence; Scope (computer science); Substitution (logic); Risk analysis (engineering); Transplantation; Intensive care medicine; Business; Pharmacology; Computer science; Surgery","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":[0.0113432,0.0007660949,0.001363679,0.001620766,0.001993696,0.01103961,0.001598998,0.01662766,0.01780943],"category_scores_gemma":[0.02036992,0.0003676428,0.00153122,0.002262766,0.006654347,0.01901621,0.002312893,0.01200734,0.003307991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753476,"about_ca_system_score_gemma":0.006483488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909596,"about_ca_topic_score_gemma":0.005394035,"domain_scores_codex":[0.9939161,0.002360374,0.0004585265,0.0004857803,0.002002036,0.0007771858],"domain_scores_gemma":[0.970312,0.0177036,0.002471353,0.001027087,0.004244893,0.004241037],"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":[0.0001054648,0.00008276505,0.0009933317,0.001775288,0.00003749291,0.0006809373,0.0006269733,0.0002103309,0.0002381508,0.1192667,0.5505036,0.3254791],"study_design_scores_gemma":[0.00001497143,0.00008491783,0.0005777425,0.001506022,0.00001602783,0.0008093884,0.0005258522,0.0000835498,0.00005581856,0.0168881,0.9794092,0.00002843439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0005032682,0.1879991,0.0006444103,0.7719423,0.02682593,0.00001006736,0.00003988241,0.000057719,0.01197747],"genre_scores_gemma":[0.0170365,0.3483818,0.003201815,0.5329498,0.08017816,0.00004254909,0.00009054763,0.0001039679,0.01801481],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01780943,"threshold_uncertainty_score":0.05998927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131182327697589,"score_gpt":0.3510769102565545,"score_spread":0.2379586774867956,"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."}}