{"id":"W3048708312","doi":"10.1186/s13063-020-04611-9","title":"Cluster identification, selection, and description in cluster randomized crossover trials: the PREP-IT trials","year":2020,"lang":"en","type":"article","venue":"Trials","topic":"Bone fractures and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"National Center for Advancing Translational Sciences; Canadian Institutes of Health Research; Patient-Centered Outcomes Research Institute; Physicians' Services Incorporated Foundation; McMaster University; Hamilton Health Sciences; U.S. Department of Defense","keywords":"Randomized controlled trial; Medicine; Psychological intervention; Cluster randomised controlled trial; Orthopedic surgery; Cluster (spacecraft); Crossover study; Clinical trial; Physical therapy; Surgery; Alternative medicine; Internal medicine; Placebo; Nursing; Pathology; Computer science","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":[0.458883,0.004179808,0.01112603,0.005555141,0.003474444,0.006106414,0.005692774,0.007723601,0.009143376],"category_scores_gemma":[0.6049224,0.00294088,0.009604638,0.008212174,0.00761395,0.006957042,0.005386805,0.008772654,0.001689991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005116234,"about_ca_system_score_gemma":0.01616108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111379,"about_ca_topic_score_gemma":0.001309187,"domain_scores_codex":[0.2036427,0.7183272,0.04659611,0.01228432,0.01748179,0.001667875],"domain_scores_gemma":[0.2981875,0.5161026,0.06609409,0.0893706,0.02690328,0.003341926],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.2152279,0.005249996,0.01638074,0.1182934,0.02634815,0.0009466924,0.01120705,0.01477644,0.002912332,0.1131737,0.04794187,0.4275418],"study_design_scores_gemma":[0.3873162,0.06583107,0.02590909,0.05100608,0.01919284,0.00132927,0.002913919,0.08574481,0.01244009,0.1729745,0.1735007,0.001841454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.01365223,0.00603913,0.3029078,0.002717918,0.004751334,0.6630909,0.001601083,0.001126386,0.004113151],"genre_scores_gemma":[0.02996077,0.0006662268,0.27561,0.001154126,0.0004392158,0.6913069,0.0003738306,0.0001261025,0.0003628964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5411171,"threshold_uncertainty_score":0.6672937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798620329755801,"score_gpt":0.4114580963418412,"score_spread":0.2315960633662611,"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."}}