{"id":"W6901992341","doi":"10.6084/m9.figshare.13031627","title":"Additional file 1 of Correction to: Cluster identification, selection, and description in Cluster randomized crossover trials: the PREP-IT trials","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cluster (spacecraft); Crossover; Cluster analysis; Field (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02684654,0.002844795,0.003794245,0.005232625,0.001718157,0.004016848,0.003705319,0.003362706,0.9040127],"category_scores_gemma":[0.4159961,0.002762483,0.004142241,0.009064159,0.001372649,0.00441721,0.002441278,0.004086802,0.1681018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880289,"about_ca_system_score_gemma":0.008285401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005435518,"about_ca_topic_score_gemma":0.009423777,"domain_scores_codex":[0.9815953,0.008542128,0.004618954,0.002067579,0.002166444,0.001009731],"domain_scores_gemma":[0.5563661,0.3774769,0.01972404,0.01873872,0.02513,0.002564242],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001283768,0.00005287352,0.0005024447,0.00885915,0.0001901385,0.00004975446,0.0000618928,0.0003630282,0.00003629133,0.001373222,0.978667,0.008560333],"study_design_scores_gemma":[0.07096021,0.001052121,0.01402886,0.01829086,0.001926294,0.0009283571,0.0003039276,0.003443291,0.0007485159,0.03763464,0.8502226,0.0004601999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"editorial","genre_scores_codex":[0.0003064608,0.0002212725,0.003669211,0.001828817,0.001885764,0.003614037,0.9831436,0.001746833,0.003583997],"genre_scores_gemma":[0.04019501,0.001734889,0.09629177,0.01555949,0.006082494,0.1468636,0.5566435,0.01678925,0.11984],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9731535,"threshold_uncertainty_score":0.1419798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6141473959595923,"score_gpt":0.5554244649261547,"score_spread":0.05872293103343762,"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."}}