{"id":"W4405550336","doi":"10.1186/s13063-024-08653-1","title":"Re-analysis of data from cluster randomised trials to explore the impact of model choice on estimates of odds ratios: study protocol","year":2024,"lang":"en","type":"article","venue":"Trials","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Department of Health and Social Care; Medical Research Council; National Institute for Health and Care Research","keywords":"Protocol (science); Odds; Medicine; Cluster (spacecraft); Cluster analysis; Odds ratio; Research design; Statistics; Computer science; Data mining; Econometrics; Logistic regression; Alternative medicine; Machine learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02234572,0.0002328631,0.003236334,0.0002540148,0.00003000183,0.00006578786,0.0006632562,0.00007448676,0.0009139305],"category_scores_gemma":[0.10859,0.0001104601,0.0005986252,0.0006786963,0.00005807469,0.000105594,0.0001682437,0.0001104321,0.000004297178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002432142,"about_ca_system_score_gemma":0.0001623289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003892519,"about_ca_topic_score_gemma":0.00004155943,"domain_scores_codex":[0.9920685,0.003762814,0.003083906,0.0004039257,0.0005239719,0.0001569126],"domain_scores_gemma":[0.8995,0.09782901,0.001030257,0.001410645,0.0001652342,0.00006488988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.291039,0.01572772,0.002275332,0.004830176,0.1638837,0.00002759798,0.07686068,0.0322261,0.08163836,0.07163379,0.09265736,0.1672002],"study_design_scores_gemma":[0.0270515,0.001487428,0.0005396354,0.0006100425,0.01812395,9.249377e-8,0.0008410315,0.5433953,0.01205385,0.3955851,0.000009459344,0.000302595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01630283,0.00001377123,0.8755762,0.0001189868,0.00004883606,0.1052616,0.002455265,0.00002700677,0.0001954524],"genre_scores_gemma":[0.3900771,0.00000334735,0.5520871,0.00004023662,0.0002514714,0.05735007,0.00008041256,0.00006291596,0.00004731641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5111692,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7170500445969801,"score_gpt":0.6253028921699856,"score_spread":0.0917471524269945,"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."}}