{"id":"W4403844390","doi":"10.3390/ijerph21111424","title":"Determinants of Length of Stay for Medical Inpatients Using Survival Analysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Kyung Hee University","keywords":"Survival analysis; Medicine; MEDLINE; Demography; Emergency medicine; Gerontology; Medical emergency; Internal medicine; Biology; Sociology","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":[0.01344959,0.00008852703,0.0004285911,0.001293534,0.0002154154,0.00002193243,0.0004340092,0.0001276671,0.0007011733],"category_scores_gemma":[0.001858083,0.000069507,0.0001305216,0.0004022787,0.000302871,0.0002319442,0.0002208277,0.0008414648,0.000004156187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005537645,"about_ca_system_score_gemma":0.003456323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446425,"about_ca_topic_score_gemma":0.0001879873,"domain_scores_codex":[0.994046,0.001007819,0.001372199,0.0001834757,0.002735491,0.0006549932],"domain_scores_gemma":[0.9954386,0.002805097,0.0003772767,0.0001202334,0.0003935098,0.000865274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004401877,0.0006854471,0.8446274,0.0008757699,0.000673709,0.00003732617,0.002452217,0.000004612566,0.0002381509,0.0007710551,0.0004850574,0.1487091],"study_design_scores_gemma":[0.007253754,0.007790951,0.8392313,0.003590967,0.0001075439,0.00007748824,0.01728284,0.03943896,0.000394566,0.004203127,0.0802086,0.0004199297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928128,0.001200795,0.001430066,0.003221896,0.000539473,0.0003401761,0.0003455568,0.000002873127,0.000106416],"genre_scores_gemma":[0.9961134,0.002906849,0.00039861,0.0001193857,0.0002982159,0.000008249945,0.00002175752,0.00001425351,0.0001193011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482891,"threshold_uncertainty_score":0.7677356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978820070342422,"score_gpt":0.5698450640640126,"score_spread":0.3719630570297704,"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."}}