{"id":"W2997303312","doi":"10.1146/annurev-publhealth-040119-094027","title":"Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials","year":2019,"lang":"en","type":"review","venue":"Annual Review of Public Health","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Randomized controlled trial; Research design; Clinical study design; Alternative medicine; Medical physics; Medicine; Management science; Computer science; Clinical trial; Engineering; Surgery; Mathematics; Pathology; Statistics","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06583432,0.00034118,0.01066612,0.001039029,0.00003875562,0.000024707,0.0003845769,0.0001761637,0.00002408076],"category_scores_gemma":[0.03547948,0.0001909595,0.0006108755,0.003197626,0.0002252225,0.0002219401,0.0001270384,0.0003618605,5.14605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006847248,"about_ca_system_score_gemma":0.000685256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005821036,"about_ca_topic_score_gemma":0.00001038958,"domain_scores_codex":[0.9814898,0.01226545,0.004982232,0.0003991474,0.0005169201,0.0003464486],"domain_scores_gemma":[0.9747961,0.01872887,0.00524378,0.0006872869,0.000454461,0.00008946286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001809186,0.0000932267,0.000001616371,0.1614121,0.0006630546,3.235521e-7,0.0003975697,1.660653e-8,1.807293e-8,0.08039048,0.000722251,0.7563013],"study_design_scores_gemma":[0.0069899,0.000383173,0.00001031148,0.2026564,0.01471472,0.00001551749,0.000279063,0.00003841843,1.850368e-7,0.02719374,0.7471213,0.0005972265],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002558881,0.9247206,0.06873261,0.000451092,0.00003211258,0.00578251,0.0002012149,0.00001873695,0.00005859017],"genre_scores_gemma":[0.00001507902,0.9816341,0.01738425,0.0003107597,0.00002048062,0.0004164451,0.000188262,0.00002191403,0.000008680501],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7557041,"threshold_uncertainty_score":0.9726451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5427499544596217,"score_gpt":0.5734347809793503,"score_spread":0.03068482651972859,"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."}}