{"id":"W2082894967","doi":"10.1097/01.ccm.0000247721.97008.6f","title":"Impact of intensive care unit discharge time on patient outcome","year":2006,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"Health Research Board; London Health Sciences Centre","keywords":"Medicine; Confidence interval; Intensive care unit; Odds ratio; Emergency medicine; Specialty; Retrospective cohort study; Intensive care; Multivariate analysis; Pediatrics; Internal medicine; Intensive care medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004025016,0.000251489,0.0006899279,0.0001477634,0.00004822321,0.000004480104,0.00005918997,0.00009390187,0.001324516],"category_scores_gemma":[0.001524115,0.0001475558,0.0002480898,0.0001701472,0.0003028326,0.00002548923,0.00003102917,0.0001851794,0.0001223183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245118,"about_ca_system_score_gemma":0.00005922163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005441671,"about_ca_topic_score_gemma":0.000009475169,"domain_scores_codex":[0.9984021,0.00004241525,0.0004572017,0.0002957825,0.000484473,0.0003179903],"domain_scores_gemma":[0.9968203,0.0003936605,0.0000500176,0.0003882029,0.002091781,0.0002560459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000310672,0.0005602959,0.9756466,0.0004174066,0.0001178229,0.0004146627,0.002519269,0.000005180399,0.0009357297,0.002024485,0.01229424,0.004753636],"study_design_scores_gemma":[0.00500696,0.0174113,0.9504859,0.001243682,0.0009920051,0.00006079146,0.01885973,0.00001614413,0.004130449,0.0001394768,0.001387176,0.0002663391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980677,0.00332234,0.000006343073,0.004956745,0.0002199693,0.0004068877,0.0001155532,0.00004669212,0.01024845],"genre_scores_gemma":[0.9971529,0.000008505481,0.00003909425,0.001955351,0.0003013976,0.00002956647,0.0004018641,0.00003015668,0.00008114446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02516066,"threshold_uncertainty_score":0.9995884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07856922579818064,"score_gpt":0.4141017953529026,"score_spread":0.335532569554722,"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."}}