{"id":"W4412654453","doi":"10.1002/sim.70198","title":"Fast Variational Bayesian Inference for Correlated Survival Data: An Application to Invasive Mechanical Ventilation Duration Analysis","year":2025,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanical ventilation; Duration (music); Bayesian probability; Bayesian inference; Inference; Survival analysis; Statistics; Computer science; Econometrics; Mathematics; Artificial intelligence; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008833696,0.0001182558,0.0003517503,0.0004310764,0.00007057319,0.0000122762,0.0001488323,0.00009810111,0.000041786],"category_scores_gemma":[0.001828767,0.0001106991,0.00001766539,0.0009826317,0.00003414389,0.00007337024,0.00003042816,0.0001495363,0.000003017392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458903,"about_ca_system_score_gemma":0.0002067272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002826505,"about_ca_topic_score_gemma":0.001053201,"domain_scores_codex":[0.9985594,0.00007151835,0.0005080482,0.0004043632,0.0003037914,0.0001529236],"domain_scores_gemma":[0.9983084,0.0006617091,0.0001147275,0.0005018868,0.0003087541,0.0001045847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002801871,0.00110874,0.1485322,0.0004925816,0.001790553,0.00002675012,0.002327756,0.01378276,0.02219572,0.6099054,0.002064475,0.1949712],"study_design_scores_gemma":[0.001831602,0.0003212379,0.1911388,0.0001329158,0.0006629624,8.421713e-7,0.0001696413,0.7918497,0.0001244366,0.01323719,0.0004221641,0.0001084659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009093712,0.00001153841,0.9882632,0.001054763,0.0004171352,0.0006922226,0.0002994711,0.0000322923,0.0001356352],"genre_scores_gemma":[0.9213437,0.00002476599,0.06744847,0.0002131343,0.0002257821,0.00008498996,0.01048595,0.00001054957,0.0001626884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9208148,"threshold_uncertainty_score":0.4514177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771292567531277,"score_gpt":0.3847432451131363,"score_spread":0.3570303194378235,"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."}}