{"id":"W6958585755","doi":"10.6084/m9.figshare.2074264.v2","title":"Economic evaluation of nivolumab for the treatment of second-line advanced squamous NSCLC in Canada: a comparison of modeling approaches to estimate and extrapolate survival outcomes","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nivolumab; Docetaxel; Erlotinib; Lung cancer; Markov model; Survival analysis; Economic evaluation; Cancer","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":[0.009472752,0.00153226,0.001188371,0.002061846,0.001281765,0.002486817,0.001964476,0.001253028,0.002100768],"category_scores_gemma":[0.02576119,0.0005720129,0.002145965,0.002383801,0.0007944999,0.0009455227,0.001313168,0.001292989,0.00009813515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08210728,"about_ca_system_score_gemma":0.04812083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9094668,"about_ca_topic_score_gemma":0.8447953,"domain_scores_codex":[0.9960368,0.002542252,0.0001731556,0.0001920988,0.0006364729,0.0004192901],"domain_scores_gemma":[0.9889801,0.007197449,0.0007479682,0.0002166692,0.002289761,0.0005681425],"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":[0.006252929,0.0009643777,0.03391116,0.001554054,0.001501997,0.0002559171,0.0003121654,0.8937945,0.0004607847,0.01233512,0.002787549,0.04586947],"study_design_scores_gemma":[0.001013874,0.00113165,0.01980396,0.0003805341,0.000823603,0.00008142324,0.0005355465,0.9716135,0.0003871907,0.001906887,0.002226957,0.00009477203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.950115,0.00826411,0.01378691,0.003855475,0.0001307239,0.002091162,0.004243367,0.0001425413,0.01737071],"genre_scores_gemma":[0.989328,0.001865717,0.006254837,0.0002167999,0.00001624749,0.0003461217,0.0009840218,0.00002153019,0.0009667422],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0905332,"threshold_uncertainty_score":0.5957328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073950390748216,"score_gpt":0.317314465122729,"score_spread":0.1099194260479074,"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."}}