{"id":"W4311651512","doi":"10.1101/2022.12.15.22283535","title":"Invasive Mechanical Ventilation Duration Prediction using Survival Analysis","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University; Actua","funders":"Natural Sciences and Engineering Research Council of Canada; London Health Sciences Centre","keywords":"Mechanical ventilation; Medicine; Ventilation (architecture); Intensive care unit; Emergency medicine; Intensive care; Survival analysis; Intensive care medicine; Anesthesia; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612173,0.0003667123,0.0003043207,0.001519565,0.0001824219,0.0006747376,0.0003429598,0.0002759994,0.001611816],"category_scores_gemma":[0.008310566,0.0001013406,0.0008272365,0.001232296,0.000212768,0.0003961843,0.0004744683,0.0004668291,0.0002164644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005453577,"about_ca_system_score_gemma":0.000830485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382616,"about_ca_topic_score_gemma":0.008807453,"domain_scores_codex":[0.9994695,0.0001763962,0.00005955919,0.00009984556,0.0001088928,0.00008581865],"domain_scores_gemma":[0.9942433,0.002953316,0.001485067,0.0002515113,0.0006781359,0.0003885791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002503129,0.00002815531,0.9842104,0.00003180002,0.0001096474,0.00007238055,0.00006091479,0.005045032,0.0002997076,0.0001516103,0.0003358281,0.009404373],"study_design_scores_gemma":[0.00001408802,0.0003117588,0.8865233,0.00005405029,0.0001405188,0.0002606618,0.0002527865,0.1100542,0.0004726047,0.000796679,0.001093676,0.00002561513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916574,0.0004497622,0.005528354,0.0001173814,0.00001669322,0.00002375363,0.001379302,0.00004124977,0.000786287],"genre_scores_gemma":[0.9987717,0.0000604694,0.0004707359,0.000006070026,0.000008625042,0.000007158427,0.0005626763,0.00000230856,0.0001102032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382616,"threshold_uncertainty_score":0.02749139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06878157640379548,"score_gpt":0.3217263426749429,"score_spread":0.2529447662711475,"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."}}