{"id":"W2460051124","doi":"10.1016/j.jval.2015.09.2518","title":"How To Conduct Economic Evaluations Of New Treatments For Advanced Cancer When Overall Survival Data Are Not Available? Results From A Systematic Literature Review","year":2015,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Montréal","funders":"","keywords":"Surrogate endpoint; Medicine; Context (archaeology); Economic evaluation; Clinical trial; Population; Clinical endpoint; Cancer; Oncology; Cost effectiveness; Intensive care medicine; Lung cancer; Breast cancer; Internal medicine; Pathology; Environmental health; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1237421,0.002192379,0.01184796,0.01301021,0.0006096765,0.006881454,0.002327191,0.003672861,0.004567661],"category_scores_gemma":[0.4218647,0.001901558,0.0131986,0.01080565,0.001816732,0.007416506,0.002676415,0.003147512,0.0005333567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007589838,"about_ca_system_score_gemma":0.01984847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023963,"about_ca_topic_score_gemma":0.02907533,"domain_scores_codex":[0.8887966,0.0691271,0.02922052,0.002254287,0.009509512,0.001092037],"domain_scores_gemma":[0.538139,0.3985738,0.0361585,0.004266119,0.02145104,0.001411596],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001302919,0.00008024197,0.003612947,0.733863,0.06788629,0.0001382765,0.0004860859,0.001364745,0.0001755671,0.003104951,0.00646509,0.1815199],"study_design_scores_gemma":[0.002209755,0.000389167,0.006257239,0.808817,0.1375578,0.000241131,0.0007567618,0.001044984,0.0003242472,0.009381461,0.03289077,0.0001295421],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00257466,0.9851215,0.002322829,0.005950514,0.0004407734,0.0009824821,0.001387532,0.00001824106,0.001201515],"genre_scores_gemma":[0.08475467,0.8891935,0.01553677,0.0055511,0.0005455254,0.002926139,0.001251568,0.00004337854,0.0001974173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8762579,"threshold_uncertainty_score":0.6544186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7193642556993184,"score_gpt":0.4968821507111353,"score_spread":0.222482104988183,"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."}}