{"id":"W2897050643","doi":"10.1097/ccm.0000000000003465","title":"Economic Evaluation of Venovenous Extracorporeal Membrane Oxygenation for Severe Acute Respiratory Distress Syndrome*","year":2018,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Extracorporeal membrane oxygenation; Medicine; Mechanical ventilation; Cohort; Intensive care medicine; Quality-adjusted life year; Extracorporeal; Acute respiratory distress; Cost effectiveness; Anesthesia; Emergency medicine; Lung; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006459634,0.000159526,0.0003422269,0.00009449963,0.00005666839,0.000007644763,0.0001603342,0.0001331018,0.0006874233],"category_scores_gemma":[0.0003786141,0.0001503758,0.00006223092,0.00008413356,0.0002253911,0.0001197337,0.00001640757,0.0001012265,0.00002470839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257006,"about_ca_system_score_gemma":0.00006739843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008366369,"about_ca_topic_score_gemma":0.00004116292,"domain_scores_codex":[0.9985769,0.00005187899,0.0004626147,0.000251339,0.0004148206,0.0002423891],"domain_scores_gemma":[0.9987528,0.000222123,0.00004630003,0.0003058702,0.0005177257,0.0001551885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001103065,0.0007314179,0.009179943,0.03279017,0.002731068,0.0005060643,0.01377345,0.01048855,0.3061037,0.1496004,0.0215148,0.4514774],"study_design_scores_gemma":[0.02952097,0.01699356,0.08769894,0.003996773,0.01502282,0.001240891,0.01079847,0.5192347,0.2254552,0.04919302,0.03572023,0.005124456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856987,0.001820012,0.005085383,0.0001909121,0.001784623,0.0007386621,0.0003582003,0.0001654495,0.00415805],"genre_scores_gemma":[0.9989601,0.000002094458,0.0001855635,0.00007992834,0.0004908161,0.00007689232,0.0001610573,0.00003823423,0.000005355044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5087461,"threshold_uncertainty_score":0.7526803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880989880680817,"score_gpt":0.3227317462971655,"score_spread":0.2839218474903573,"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."}}