{"id":"W2887073319","doi":"10.1016/j.burns.2018.07.004","title":"Contributors to the length-of-stay trajectory in burn-injured patients","year":2018,"lang":"en","type":"article","venue":"Burns","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of General Medical Sciences","keywords":"Medicine; Total body surface area; Burn center; Sepsis; Emergency medicine; Retrospective cohort study; Propensity score matching; Pneumonia; Cohort; Trauma center; Injury Severity Score; Bacteremia; Logistic regression; Intensive care medicine; Poison control; Surgery; Injury prevention; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673525,0.0001102212,0.0002370928,0.0001484578,0.00004188804,0.000009035397,0.0001514608,0.00005130691,0.0002944599],"category_scores_gemma":[0.0002009029,0.0000707745,0.00007433033,0.0002974137,0.00008196073,0.00004235436,0.00005777869,0.000108044,0.0001349782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004993055,"about_ca_system_score_gemma":0.00002289143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006826015,"about_ca_topic_score_gemma":0.0001324237,"domain_scores_codex":[0.9990437,0.00003876077,0.0002693202,0.0001607227,0.0002433319,0.0002441797],"domain_scores_gemma":[0.9993864,0.00005774689,0.00006217905,0.0003100349,0.0001096631,0.00007403372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006450539,0.000388358,0.9199103,0.00005387277,0.0001384906,0.00001283471,0.0030256,0.000001428302,0.0004986332,0.001794864,0.04689469,0.02663595],"study_design_scores_gemma":[0.001737186,0.000578755,0.8131485,0.00005507648,0.00004706514,4.427375e-7,0.00021902,0.00001468339,0.001920657,0.00005457423,0.1821289,0.00009512351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901319,0.00006632318,0.00007359545,0.001937783,0.000555977,0.0006395502,0.00001361143,0.00003165221,0.006549636],"genre_scores_gemma":[0.9960722,0.000009913781,0.0001107095,0.001200745,0.0002567977,0.0000165852,0.00001179236,0.00001359238,0.00230771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352342,"threshold_uncertainty_score":0.3224129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551309724973964,"score_gpt":0.2811963898471296,"score_spread":0.2656832925973899,"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."}}