{"id":"W4311284239","doi":"10.1111/biom.13813","title":"Bayesian Sample Size Calculations for Comparing Two Strategies in SMART Studies","year":2022,"lang":"en","type":"article","venue":"Biometrics","topic":"Mental Health Research Topics","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Statistics Canada","funders":"","keywords":"Sample size determination; Bayesian probability; Computer science; Sample (material); Statistics; Econometrics; Mathematics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009209209,0.00009058045,0.0002100105,0.001116881,0.0003377453,0.00002937181,0.0002063809,0.00002861961,0.00050252],"category_scores_gemma":[0.0009947857,0.00009776322,0.00004467259,0.003747517,0.00005527638,0.00005677219,0.000183605,0.0001930781,0.00001237911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302829,"about_ca_system_score_gemma":0.00008812083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543478,"about_ca_topic_score_gemma":0.0006764003,"domain_scores_codex":[0.9985188,0.0001827286,0.0003101171,0.0002523297,0.0003003918,0.0004356081],"domain_scores_gemma":[0.9965999,0.00295028,0.00006872991,0.0002365938,0.00006099879,0.0000834827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003994391,0.001736139,0.719651,0.0006614715,0.0003013334,0.00005425024,0.01036561,0.001392205,0.0002501067,0.1885957,0.02446968,0.05212306],"study_design_scores_gemma":[0.006923456,0.00137649,0.5993509,0.00002633676,0.00003385404,0.00001718231,0.05671593,0.008617233,0.00004017318,0.03477864,0.2914761,0.000643701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477616,0.007439843,0.0205044,0.002338402,0.004078088,0.003155857,0.0006237974,0.0001799788,0.01391806],"genre_scores_gemma":[0.9903386,0.00002198259,0.008035233,0.000142929,0.00007463816,0.0005429775,0.00003472671,0.00001614075,0.0007928258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670064,"threshold_uncertainty_score":0.5502242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3304240056312043,"score_gpt":0.533945866941269,"score_spread":0.2035218613100647,"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."}}