{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1416929,0.0002604184,0.00270409,0.00054335,0.00008313631,0.00001310798,0.0003340849,0.0001140325,0.003064223],"category_scores_gemma":[0.6895756,0.0002141325,0.0001577202,0.0006173889,0.000451469,0.00004751842,0.0002246545,0.0008388166,0.00001466209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004532397,"about_ca_system_score_gemma":0.0001040323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386443,"about_ca_topic_score_gemma":0.0001175952,"domain_scores_codex":[0.9300193,0.06196959,0.00556605,0.0006704536,0.001275975,0.0004986089],"domain_scores_gemma":[0.6357477,0.3626168,0.0009962231,0.0003984138,0.000144243,0.00009654431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.4575008,0.0007589312,0.00008295803,0.0001827203,0.0001610593,0.0001904488,0.002852759,0.0001349027,0.0001360823,0.4797823,0.02920063,0.02901633],"study_design_scores_gemma":[0.1762636,0.0006208569,0.0002877209,0.0002644007,0.000178215,0.000005165248,0.001224407,0.007475678,0.00001957784,0.813163,0.0003216771,0.0001756163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00686227,0.0001931668,0.9834918,0.00252796,0.001994271,0.003753854,0.0004603304,0.0000465534,0.0006697554],"genre_scores_gemma":[0.1249278,0.00007358928,0.8715321,0.0007238677,0.0002638263,0.001424153,0.00005005331,0.00006153987,0.0009430399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5478826,"threshold_uncertainty_score":0.9978471,"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."}}