{"id":"W4404041625","doi":"10.1097/01.pcc.0001084556.54793.d3","title":"OP026 Topic: AS11–Healthcare Systems/Economic Evaluation/Capacity Building/Administration/Other: CHARACTERIZATION OF CANADIAN PICU INFRASTRUCTURE DESIGN AND RENOVATIONS: A NATIONAL CROSS-SECTIONAL STUDY","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Sunnybrook Hospital; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Cross-sectional study; Health care; Administration (probate law); Medical emergency; Environmental health; Economic growth","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":[0.008503086,0.0005885911,0.0008869332,0.003804346,0.002727317,0.004485869,0.001992447,0.00105439,0.01846815],"category_scores_gemma":[0.02972923,0.0004700479,0.001063689,0.01000816,0.001079628,0.001121859,0.0016133,0.001089317,0.001531131],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06325869,"about_ca_system_score_gemma":0.1504975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9715859,"about_ca_topic_score_gemma":0.9648291,"domain_scores_codex":[0.9897352,0.001492301,0.0006057129,0.000556081,0.00604293,0.001567684],"domain_scores_gemma":[0.9656968,0.004593195,0.00336144,0.000767151,0.02068611,0.004895303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005832292,0.0004306843,0.4424643,0.004458496,0.0004677497,0.000155299,0.002356465,0.001433004,0.0002137511,0.005039074,0.4197975,0.1226005],"study_design_scores_gemma":[0.00007341425,0.0001112814,0.9075322,0.0009733645,0.0000881778,0.00007606405,0.001650175,0.001045917,0.0001837843,0.0001756546,0.08804052,0.00004952448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4950123,0.02039739,0.00233404,0.04457534,0.001406533,0.004437607,0.22796,0.0003498467,0.2035271],"genre_scores_gemma":[0.8691854,0.01240132,0.006029755,0.005684309,0.0005618819,0.002422835,0.07527394,0.0002677593,0.02817283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9367413,"threshold_uncertainty_score":0.458976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3849006483078762,"score_gpt":0.473433916141198,"score_spread":0.08853326783332183,"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."}}