{"id":"W2789373491","doi":"10.3747/co.25.3532","title":"Cost-Effectiveness of Everolimus for the Treatment of Advanced Neuroendocrine Tumours of Gastrointestinal or Lung Origin in Canada","year":2018,"lang":"en","type":"article","venue":"Current Oncology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novartis (Canada)","funders":"","keywords":"Medicine; Everolimus; Reimbursement; Cost effectiveness; Quality-adjusted life year; Neuroendocrine tumors; Incremental cost-effectiveness ratio; Cost-effectiveness analysis; Willingness to pay; Quality of life (healthcare); Internal medicine; Oncology; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001559413,0.0007607098,0.0008133677,0.001175221,0.001022554,0.001991788,0.001736648,0.0006543972,0.003986022],"category_scores_gemma":[0.005754883,0.0004075685,0.00187301,0.001998214,0.0006947778,0.0006170607,0.000916746,0.001070409,0.0001576675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09952687,"about_ca_system_score_gemma":0.09264283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880733,"about_ca_topic_score_gemma":0.9846124,"domain_scores_codex":[0.9988347,0.0003116588,0.00004310876,0.0001057735,0.0003338465,0.0003709907],"domain_scores_gemma":[0.9982365,0.0005216904,0.0001986444,0.00003426415,0.0006797458,0.0003291114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003203707,0.0002766245,0.07484875,0.001176451,0.002239606,0.0006704938,0.0002407921,0.8466563,0.0007418113,0.01615893,0.01411551,0.0396711],"study_design_scores_gemma":[0.002231039,0.00101493,0.103838,0.0008813763,0.002944632,0.0004872048,0.001126548,0.8590382,0.0010176,0.006922912,0.02028503,0.0002124889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965571,0.01797196,0.005582718,0.009539663,0.0001551384,0.0009482184,0.03151354,0.0001819845,0.03754969],"genre_scores_gemma":[0.9906246,0.002448729,0.001514868,0.0002861826,0.00001285883,0.00007875608,0.003036421,0.00001673167,0.00198088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09952687,"threshold_uncertainty_score":0.7221214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133071338583487,"score_gpt":0.4601217922299431,"score_spread":0.3270504536464561,"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."}}