{"id":"W4396723746","doi":"10.1002/sim.10104","title":"Adaptive designs in public health: Vaccine and cluster randomized trials go Bayesian","year":2024,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Institute of Environmental Health Sciences; National Institute on Aging","keywords":"Bayes' theorem; Bayesian probability; Computer science; Randomized controlled trial; Clinical trial; Flexibility (engineering); Psychological intervention; Non-communicable disease; Cluster (spacecraft); Public health; Matching (statistics); Cluster randomised controlled trial; Medicine; Econometrics; Risk analysis (engineering); Statistics; Artificial intelligence; Economics; Mathematics; Nursing","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","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08639028,0.0003658873,0.004199752,0.000619579,0.00004909799,0.00006031998,0.0002169182,0.0002110959,0.000919689],"category_scores_gemma":[0.5798165,0.0002506377,0.00009697123,0.0007206787,0.0004919573,0.00007758046,0.0001021846,0.0008406722,0.00001491422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158182,"about_ca_system_score_gemma":0.0002797965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404585,"about_ca_topic_score_gemma":0.0002834929,"domain_scores_codex":[0.9777495,0.01511727,0.004863894,0.0007907441,0.000730196,0.0007483983],"domain_scores_gemma":[0.6319265,0.3669459,0.0004066507,0.0003174933,0.0001015842,0.0003019084],"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":[0.006930381,0.0001179202,0.00004287665,0.0007048364,0.0001640017,0.0002183515,0.001730227,0.000001693398,0.000007016096,0.8485631,0.03553001,0.1059895],"study_design_scores_gemma":[0.07384375,0.0003978106,0.0001013628,0.001234687,0.000146082,0.00001206238,0.0002645967,0.01772029,0.000003147613,0.9055027,0.0005663019,0.000207193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008627733,0.001890026,0.9774287,0.01530769,0.001317105,0.002516309,0.0003065106,0.00008323368,0.001064183],"genre_scores_gemma":[0.03097421,0.001503433,0.965063,0.001261508,0.0006033127,0.0002365104,0.00001712271,0.00007195496,0.0002689997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4934262,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6838323276886842,"score_gpt":0.60154715796384,"score_spread":0.08228516972484423,"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."}}