{"id":"W2106512674","doi":"10.3111/13696990701438629","title":"Cost effectiveness of rimonabant use in patients at increased cardiometabolic risk: estimates from a Markov model","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Johns Hopkins University; Sanofi","keywords":"Medicine; Rimonabant; Overweight; Quality-adjusted life year; Cost effectiveness; Obesity; Internal medicine; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007269708,0.001199992,0.001903947,0.001474495,0.0004746128,0.001729377,0.001315641,0.001393533,0.004714964],"category_scores_gemma":[0.01826881,0.0009335704,0.003032772,0.00104464,0.0007718049,0.001284392,0.00132508,0.001786314,0.0002992704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003786772,"about_ca_system_score_gemma":0.002514759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844442,"about_ca_topic_score_gemma":0.01004845,"domain_scores_codex":[0.9978513,0.001555498,0.00008079319,0.000138441,0.0001349007,0.0002392105],"domain_scores_gemma":[0.9753402,0.02245807,0.001103876,0.0003157487,0.000462744,0.0003192925],"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":[0.0006321144,0.00007254093,0.003661933,0.00009851829,0.0002433974,0.0001060262,0.00003857083,0.9865558,0.0001038926,0.005861387,0.0003947577,0.00223113],"study_design_scores_gemma":[0.0001489921,0.0002223764,0.00193952,0.00009131105,0.0002565881,0.00006188959,0.00004457281,0.9896016,0.00009586497,0.007184962,0.0003237304,0.00002861995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949742,0.003364735,0.07936264,0.002789876,0.00006676441,0.0006259051,0.004736314,0.000124174,0.01395539],"genre_scores_gemma":[0.9912646,0.0007829423,0.005016044,0.0001146231,0.00002156551,0.0002591779,0.0008424642,0.00001343436,0.001685192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844442,"threshold_uncertainty_score":0.03844637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895269973768576,"score_gpt":0.2711988113097658,"score_spread":0.25224611157208,"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."}}