{"id":"W4390237365","doi":"10.1080/20479700.2023.2295111","title":"Invasive mechanical ventilation duration prediction using survival analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Healthcare Management","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University; University of Windsor","funders":"","keywords":"Medicine; Mechanical ventilation; Ventilation (architecture); Emergency medicine; Intensive care; Survival analysis; Intensive care medicine; Anesthesia; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024099,0.0003062148,0.0002672733,0.001235657,0.0001535587,0.0005365325,0.0002513327,0.000241634,0.001347973],"category_scores_gemma":[0.004993591,0.00007463925,0.0005496358,0.0009042309,0.0001217644,0.0003518957,0.0003775647,0.0003427108,0.0001519497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391227,"about_ca_system_score_gemma":0.000584746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004091871,"about_ca_topic_score_gemma":0.004095802,"domain_scores_codex":[0.9996076,0.0001627957,0.00004099158,0.00005233003,0.00007300991,0.00006324342],"domain_scores_gemma":[0.9969769,0.001533985,0.0008298664,0.0001088416,0.0002989865,0.0002513885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003333026,0.00003824041,0.9800197,0.00002804353,0.00008967455,0.00007275112,0.00004584309,0.001741217,0.0003062723,0.0001168948,0.000213338,0.01699474],"study_design_scores_gemma":[0.00001696565,0.0004363663,0.9660197,0.00003830019,0.0001183388,0.0004664754,0.0001672635,0.03102599,0.0003541884,0.0004144254,0.0009250561,0.00001695934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952711,0.0006317028,0.002553931,0.00008675313,0.00001390128,0.00001330527,0.0005873709,0.00002186695,0.000820111],"genre_scores_gemma":[0.9989949,0.0001009676,0.0004390712,0.000007710064,0.00001373434,0.000005725733,0.0003322851,0.000002017057,0.0001036358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004091871,"threshold_uncertainty_score":0.008136094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06410250194921031,"score_gpt":0.3713334352474274,"score_spread":0.3072309332982171,"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."}}