{"id":"W4206897392","doi":"10.1002/sim.9317","title":"Response adaptive intervention allocation in stepped‐wedge cluster randomized trials","year":2022,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Intervention (counseling); Randomized controlled trial; Cluster (spacecraft); Adaptability; Computer science; Medicine; Cluster randomised controlled trial; Research design; Risk analysis (engineering); Reliability engineering; Operations management; Statistics; Mathematics; Engineering; Nursing; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2873739,0.00278868,0.004597005,0.002852636,0.0008464686,0.002702736,0.005851772,0.004355185,0.007409043],"category_scores_gemma":[0.3449488,0.001961922,0.004311156,0.002284801,0.005587437,0.003664556,0.004074708,0.005368027,0.001169487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004072497,"about_ca_system_score_gemma":0.007366136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009384844,"about_ca_topic_score_gemma":0.0006580662,"domain_scores_codex":[0.4861991,0.4882533,0.007825055,0.007658031,0.008781672,0.001282947],"domain_scores_gemma":[0.6303473,0.3297764,0.01592081,0.01520396,0.006487255,0.002264362],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03332651,0.00218177,0.006423221,0.01577027,0.006733386,0.0004929653,0.002352081,0.3471638,0.001485292,0.3160665,0.007069179,0.2609349],"study_design_scores_gemma":[0.02938605,0.01157381,0.001472688,0.003096606,0.001599746,0.0002359258,0.0002595771,0.5956557,0.002691406,0.3426368,0.01110195,0.0002897214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01804539,0.002387995,0.948245,0.001986178,0.0006851225,0.02469793,0.0002642649,0.0006492127,0.003038846],"genre_scores_gemma":[0.2966946,0.0007076961,0.6599796,0.001558631,0.0001957972,0.03964873,0.0001936854,0.0001165235,0.00090477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7126261,"threshold_uncertainty_score":0.8787948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5051541458839005,"score_gpt":0.5887984476152415,"score_spread":0.08364430173134096,"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."}}