{"id":"W2054041177","doi":"10.1046/j.1524-4733.2001.40202-108.x","title":"PCV34: DECISION ANALYSIS MODEL OF ABCIXIMAB, EPTIFIBATIDE OR STANDARD THERAPY IN ELECTIVE STENT PLACEMENT: A CANADIAN PERSPECTIVE","year":2001,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Eptifibatide; Abciximab; Perspective (graphical); Medicine; Stent; Computer science; Internal medicine; Artificial intelligence; Conventional PCI","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003387985,0.00156521,0.002168839,0.001713309,0.001502737,0.004606757,0.003324867,0.003369394,0.01154126],"category_scores_gemma":[0.008688988,0.001347725,0.001669776,0.001849837,0.001622084,0.001317498,0.001007563,0.002441477,0.0006688907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02371694,"about_ca_system_score_gemma":0.03240834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8993756,"about_ca_topic_score_gemma":0.8052132,"domain_scores_codex":[0.998482,0.0005924981,0.00004243811,0.0001799133,0.0002886917,0.0004144141],"domain_scores_gemma":[0.9966323,0.002057738,0.0001447743,0.00004754908,0.0008021927,0.0003154548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001376443,0.00003455303,0.0006443625,0.00004076541,0.00003778204,0.0001076554,0.00003160202,0.9704661,0.00008541883,0.01671324,0.004847499,0.006853321],"study_design_scores_gemma":[0.00007124832,0.00001493962,0.0002920624,0.00001148974,0.00002515295,0.00001699229,0.00001973764,0.9933295,0.00003312227,0.005200677,0.0009663641,0.00001873471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3137518,0.008015375,0.4793632,0.04658457,0.0007691249,0.001038367,0.01331381,0.001050022,0.1361137],"genre_scores_gemma":[0.9112,0.002057765,0.04322375,0.000923489,0.0002611063,0.0003563037,0.001978353,0.0001369205,0.03986236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1006244,"threshold_uncertainty_score":0.202434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4078045772591365,"score_gpt":0.4431745297970234,"score_spread":0.03536995253788688,"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."}}