{"id":"W4404898302","doi":"10.1002/sim.10277","title":"Bayesian Decision Curve Analysis With Bayesdca","year":2024,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Provincial Health Services Authority; BC Children's Hospital; Children's Hospital Foundation","keywords":"Frequentist inference; Computer science; Bayesian probability; Workflow; Machine learning; Decision analysis; False positives and false negatives; False positive paradox; Probabilistic logic; Bayes' theorem; Artificial intelligence; Data mining; Bayesian inference; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03746584,0.002221272,0.004514522,0.005225293,0.001370812,0.007097234,0.003926571,0.004456363,0.0203983],"category_scores_gemma":[0.1326641,0.002079364,0.005013758,0.004867018,0.001963236,0.003563791,0.003520711,0.006459263,0.005234541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530465,"about_ca_system_score_gemma":0.007566904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962071,"about_ca_topic_score_gemma":0.01148222,"domain_scores_codex":[0.9762526,0.01751179,0.001335862,0.002137232,0.002239686,0.0005228406],"domain_scores_gemma":[0.917105,0.07236367,0.002610052,0.002919263,0.004285492,0.0007165052],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000729127,0.0001705553,0.004004623,0.001024172,0.0009650937,0.0003141871,0.00036159,0.5823365,0.000248429,0.1698273,0.02097036,0.2190481],"study_design_scores_gemma":[0.000153217,0.00007991261,0.0004772366,0.0003555769,0.0001968164,0.0001804195,0.00004465994,0.7675154,0.0002726696,0.214276,0.01635284,0.00009532325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002650199,0.002313713,0.9872755,0.001149203,0.0001759334,0.0005991544,0.001048929,0.0009955439,0.003791859],"genre_scores_gemma":[0.1415159,0.003332313,0.8409639,0.001283664,0.0005253483,0.003357847,0.002470617,0.0008707561,0.005679614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9625342,"threshold_uncertainty_score":0.1981407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734663015886808,"score_gpt":0.4589526291861392,"score_spread":0.2854863275974584,"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."}}