{"id":"W2084364101","doi":"10.1016/j.ccm.2014.08.009","title":"Clinical Trial Design in Prevention and Treatment of Acute Respiratory Distress Syndrome","year":2014,"lang":"en","type":"review","venue":"Clinics in Chest Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"ARDS; Medicine; Intensive care medicine; Clinical trial; Acute respiratory distress; Clinical study design; Biomarker; Categorization; Internal medicine; Lung; Artificial intelligence; Computer science","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":[0.008677044,0.000811639,0.00577074,0.001121357,0.0002300546,0.001413564,0.001970337,0.002126558,0.006500761],"category_scores_gemma":[0.01843273,0.0003862208,0.002290511,0.001409817,0.0006774747,0.001049012,0.0005959217,0.002201452,0.0004354028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771703,"about_ca_system_score_gemma":0.001723765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007710952,"about_ca_topic_score_gemma":0.001763507,"domain_scores_codex":[0.9956377,0.002654976,0.0007663064,0.0003509713,0.000495157,0.00009494733],"domain_scores_gemma":[0.9852827,0.01292169,0.001086004,0.000181255,0.0003838593,0.0001445492],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006015718,0.0003446747,0.0005698376,0.2608939,0.006313651,0.000146138,0.00009518221,0.0007193859,0.0006946417,0.004585167,0.01043815,0.7091836],"study_design_scores_gemma":[0.07150275,0.0141065,0.01410471,0.3487956,0.06170756,0.002298007,0.0005232526,0.002776287,0.002039283,0.0287878,0.4530718,0.0002864728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003592231,0.9982433,0.0002829406,0.0002536326,0.0003006148,0.0001130192,0.00003956283,0.000005294477,0.0004023714],"genre_scores_gemma":[0.01341206,0.9817033,0.002149354,0.00135589,0.0005677083,0.0003922778,0.00008163994,0.000005418882,0.0003323405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913229,"threshold_uncertainty_score":0.0458892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3146932842174149,"score_gpt":0.509181983730092,"score_spread":0.1944886995126771,"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."}}