{"id":"W2947653217","doi":"10.1111/acem.13810","title":"Study Monitoring in Emergency Care Trials: Lessons from the Resuscitation Outcomes Consortium Continuous Chest Compressions Trial","year":2019,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Medicine; Cardiopulmonary resuscitation; Emergency medicine; Clinical trial; Population; Resuscitation; Return of spontaneous circulation; Randomized controlled trial; Data monitoring committee; Emergency medical services; Emergency department; Medical emergency; Surgery; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.6335066,0.002596524,0.007591134,0.004604083,0.003546215,0.01443442,0.007550817,0.01241424,0.003163523],"category_scores_gemma":[0.7882879,0.002015461,0.005746339,0.007344821,0.01465914,0.0110881,0.007405145,0.02452713,0.0006070975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009945589,"about_ca_system_score_gemma":0.02415577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008133144,"about_ca_topic_score_gemma":0.009690193,"domain_scores_codex":[0.2203311,0.7200708,0.02292448,0.009710064,0.0251037,0.001859816],"domain_scores_gemma":[0.06358712,0.8594726,0.02550848,0.02784332,0.01898423,0.004604269],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01261535,0.001082962,0.08746385,0.01125799,0.01244599,0.0007654547,0.009110728,0.0103484,0.0003970225,0.06510468,0.1447701,0.6446375],"study_design_scores_gemma":[0.05554352,0.01486751,0.1401455,0.08547448,0.01339758,0.001606027,0.006209697,0.05186726,0.002781977,0.3945064,0.2316798,0.001920315],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04863822,0.210243,0.07392153,0.6316082,0.01425464,0.004393942,0.00154995,0.0007448092,0.01464568],"genre_scores_gemma":[0.516793,0.06544815,0.2168809,0.1372041,0.04243556,0.01699615,0.001382215,0.0009267827,0.001933179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3664934,"threshold_uncertainty_score":0.4519517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6099460318496074,"score_gpt":0.6253052140466375,"score_spread":0.01535918219703014,"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."}}