{"id":"W7108327285","doi":"10.20381/ruor-31575","title":"Derivation and Internal Validation of a Health Administrative Data Algorithm for Identifying Sepsis","year":2025,"lang":"en","type":"dissertation","venue":"University of Ottawa - Library","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sepsis; Pharmacy; Chart; Derivation; Primary care; Intensive care unit; Intensive care; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04988231,0.0009447177,0.0009060865,0.005084449,0.001661005,0.003750653,0.002713101,0.001086611,0.000725791],"category_scores_gemma":[0.152885,0.0006607793,0.001282616,0.003609878,0.00100217,0.0008175712,0.002194353,0.001334614,0.0004045526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009623836,"about_ca_system_score_gemma":0.02411271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2548063,"about_ca_topic_score_gemma":0.252846,"domain_scores_codex":[0.9637813,0.0133324,0.004238874,0.004320251,0.01311984,0.001207231],"domain_scores_gemma":[0.8875036,0.03454565,0.01349461,0.007418195,0.05555105,0.001486871],"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":[0.0006509279,0.0002914788,0.9373243,0.000322893,0.0005099449,0.00007548595,0.0005921627,0.007850267,0.001054841,0.0009709875,0.006153386,0.0442032],"study_design_scores_gemma":[0.0003174125,0.000433967,0.8787355,0.0004274505,0.0004410141,0.0003125726,0.0004121104,0.1061596,0.003483376,0.0004976384,0.0086749,0.0001043359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614134,0.001748974,0.1028343,0.001707497,0.0003232404,0.006141249,0.0140968,0.001094545,0.01064001],"genre_scores_gemma":[0.8150336,0.0004080096,0.1691351,0.0006774569,0.000124209,0.00177707,0.01198668,0.000109551,0.0007484439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2548063,"threshold_uncertainty_score":0.5066462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542408968836493,"score_gpt":0.3751743640297853,"score_spread":0.220933467146136,"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."}}