{"id":"W2133940194","doi":"10.1177/1740774512440636","title":"Temporal compliance trends in a cluster randomization with crossover trial of out-of-hospital cardiac arrest","year":2012,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ottawa Public Health; St. Michael's Hospital; Ottawa Hospital; University of Ottawa","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Crossover study; Medicine; Cardiopulmonary resuscitation; Randomized controlled trial; Randomization; Logistic regression; Emergency medicine; Cluster randomised controlled trial; Resuscitation; Data monitoring committee; Cluster (spacecraft); Internal medicine; Placebo","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0120943,0.0001952571,0.002149468,0.00009653472,0.00001789815,0.00001248523,0.000179951,0.0002556542,0.00006343982],"category_scores_gemma":[0.01356136,0.0001381553,0.0004381972,0.000240508,0.0002989263,0.0002661341,0.00006322133,0.0002521252,0.000005216838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002842219,"about_ca_system_score_gemma":0.00005041495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007875744,"about_ca_topic_score_gemma":0.000008445693,"domain_scores_codex":[0.9947849,0.001604684,0.002795489,0.0002402055,0.0003021158,0.0002725862],"domain_scores_gemma":[0.9884872,0.00910611,0.001688039,0.0004685731,0.0001482935,0.0001017324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7247234,0.01344918,0.1047196,0.000587865,0.001126114,0.000007546448,0.00306661,0.00007189175,0.0004380359,0.04787701,0.01475616,0.08917654],"study_design_scores_gemma":[0.829177,0.008917688,0.005630789,0.001736425,0.001007033,7.231768e-7,0.000273056,0.0002382314,0.007569805,0.1379642,0.005887349,0.00159774],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153984,0.0001836729,0.0673595,0.0002554506,0.008742505,0.0043608,0.0001423386,0.0001924115,0.003364931],"genre_scores_gemma":[0.9701568,0.00003594127,0.0285292,0.00002055902,0.0009536706,0.0001096697,0.00001824235,0.00003129197,0.0001445698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044535,"threshold_uncertainty_score":0.9947478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5222422213995487,"score_gpt":0.56778038428529,"score_spread":0.04553816288574131,"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."}}