{"id":"W4390192940","doi":"10.1002/alz.074336","title":"Simulation‐based effect size analysis in the absence of drug effects to inform the design of clinical trials in Alzheimer’s disease","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec - Clinical Research Organization in Cancer; Baycrest Hospital; University of Toronto; Montreal Neurological Institute and Hospital; Mila - Quebec Artificial Intelligence Institute; NeuroRx Research (Canada); Douglas Mental Health University Institute; McGill University","funders":"","keywords":"Placebo; Clinical trial; Randomization; Sample size determination; Medicine; Clinical endpoint; Randomized controlled trial; Clinical study design; Cognition; Alzheimer's disease; Cognitive decline; Disease; Statistics; Internal medicine; Dementia; Mathematics; Psychiatry","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":[0.09419616,0.0002848424,0.002117229,0.0003440537,0.00006749786,0.00003410106,0.0008934361,0.0001347129,0.0001337864],"category_scores_gemma":[0.4644814,0.0001624808,0.0008231356,0.003777978,0.0002369047,0.00007176546,0.000173502,0.000335249,0.00003417636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005175178,"about_ca_system_score_gemma":0.0001273252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005355102,"about_ca_topic_score_gemma":0.00003347597,"domain_scores_codex":[0.9711727,0.02199582,0.004825059,0.0004979443,0.001063201,0.000445203],"domain_scores_gemma":[0.4044254,0.5933754,0.001016457,0.0009427799,0.0001124469,0.000127514],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00775315,0.002448457,0.1834572,0.0003964903,0.06404094,0.0001211442,0.002905851,0.4881123,0.0002253047,0.01649125,0.004194402,0.2298535],"study_design_scores_gemma":[0.006474244,0.0007168651,0.4222622,0.0003247948,0.1150756,8.210765e-8,0.0001202031,0.2763986,0.00346735,0.1744446,0.0001250721,0.0005904524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.329558,0.009177606,0.6205392,0.005588672,0.00284111,0.03125245,0.000365367,0.0003110157,0.0003665187],"genre_scores_gemma":[0.9176978,0.00001332215,0.08148668,0.0003964072,0.00007261355,0.0003027697,0.000004585344,0.00002434272,0.00000144965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5881398,"threshold_uncertainty_score":0.9327157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5450740890218915,"score_gpt":0.5880025888336123,"score_spread":0.04292849981172087,"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."}}