{"id":"W2413112715","doi":"10.1097/ede.0000000000000179","title":"Commentary","year":2014,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Statistics; Confidence interval; Probabilistic logic; Random error; Standard error; Observational error; Mathematics; Funnel plot; Random effects model; Odds; Sample size determination; Type I and type II errors; Publication bias; Meta-analysis; Medicine; Logistic regression","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00231254,0.0002956823,0.00128341,0.00006764331,0.00005741199,0.000004731783,0.0003760419,0.00107799,0.001273869],"category_scores_gemma":[0.01703409,0.0002308811,0.0001633677,0.00004398302,0.0002390621,0.00001206973,0.00009374131,0.00197922,0.0002567915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004292045,"about_ca_system_score_gemma":0.00001617542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005464008,"about_ca_topic_score_gemma":0.000001990315,"domain_scores_codex":[0.994822,0.003348744,0.000727378,0.0004390676,0.0000905918,0.0005721918],"domain_scores_gemma":[0.944643,0.05431556,0.0003435216,0.0006019672,0.0000349792,0.00006097744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001992402,0.000005957716,0.0001766679,0.0001617045,0.00002887362,0.00005463214,0.000005785979,8.389899e-9,2.565866e-7,0.1738925,0.8207616,0.004910065],"study_design_scores_gemma":[0.00005035153,0.00003546296,0.00002064381,0.00002454515,0.00003264582,0.00001967596,4.251065e-7,0.00004902011,6.430399e-7,0.5016096,0.4980307,0.0001263768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[6.611144e-7,0.0000376746,0.4563773,0.5394489,0.0004014871,0.0000828242,0.00002971184,0.00005097037,0.003570493],"genre_scores_gemma":[0.000001568253,0.000007356951,0.4408503,0.5551404,0.003593068,0.00002304273,0.00007903713,0.00002659129,0.0002785852],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3277171,"threshold_uncertainty_score":0.9996391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2226992551660126,"score_gpt":0.4488719744730278,"score_spread":0.2261727193070153,"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."}}