{"id":"W1966283993","doi":"10.1097/01.ccm.0000155992.21174.31","title":"Projected incidence of mechanical ventilation in Ontario to 2026: Preparing for the aging baby boomers*","year":2005,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agency for Healthcare Research and Quality","keywords":"Mechanical ventilation; Medicine; Incidence (geometry); Population; Baby boomers; Ventilation (architecture); Intensive care unit; Population ageing; Demography; Intensive care medicine; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005101695,0.0001242467,0.0003402462,0.0001385569,0.00005422118,0.000005540757,0.0001105855,0.00008152085,0.0002548839],"category_scores_gemma":[0.001443633,0.00008450606,0.00006432437,0.0002101618,0.00008382726,0.00007268693,0.00004989813,0.000236491,0.000005143956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361431,"about_ca_system_score_gemma":0.0002415655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165116,"about_ca_topic_score_gemma":0.02050969,"domain_scores_codex":[0.9986011,0.00002499508,0.0004414611,0.0002719907,0.000377123,0.0002833706],"domain_scores_gemma":[0.9989164,0.0003124186,0.00003548638,0.0002771694,0.0002897249,0.0001688245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005031733,0.000734332,0.1603102,0.003618003,0.0001776857,0.0002327319,0.0592785,0.0001561403,0.4520479,0.03303818,0.008501831,0.2768727],"study_design_scores_gemma":[0.01453647,0.01182622,0.1848702,0.007246373,0.001968523,0.0002297319,0.0426456,0.006218997,0.3236624,0.001712862,0.4039904,0.001092219],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263735,0.001337657,0.05243461,0.01279465,0.0008374894,0.003042628,0.000005831987,0.00008275827,0.003090906],"genre_scores_gemma":[0.9943165,0.000002820791,0.003651312,0.001338495,0.0003065094,0.0001104297,0.00001695026,0.00001636743,0.0002405877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3954885,"threshold_uncertainty_score":0.9973634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059635489040325,"score_gpt":0.3550596549905914,"score_spread":0.3144633001001881,"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."}}