{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001836961,0.0003133803,0.0002808486,0.002183857,0.0003382637,0.0007102025,0.0003204559,0.0002450985,0.002236658],"category_scores_gemma":[0.007257001,0.0001188164,0.00149967,0.001855381,0.0001751423,0.0005643734,0.000718013,0.0006459724,0.0002036197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375899,"about_ca_system_score_gemma":0.001283776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346408,"about_ca_topic_score_gemma":0.01388401,"domain_scores_codex":[0.999126,0.0002903237,0.0001463069,0.0001463177,0.0001330311,0.0001580989],"domain_scores_gemma":[0.9965313,0.001402434,0.00119858,0.0001521545,0.0003865915,0.000329016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007270725,0.00003571942,0.9927391,0.00003209716,0.0001481005,0.00003968353,0.00008052358,0.0007216416,0.00004670479,0.0001460721,0.0003173885,0.005620311],"study_design_scores_gemma":[0.00001060091,0.0001979019,0.9789935,0.00007629718,0.0002856919,0.0001701997,0.0005780929,0.01784132,0.0001190229,0.00067774,0.001022301,0.00002720314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928722,0.0005670537,0.00349022,0.0003294552,0.00002724371,0.00004381293,0.001896983,0.00002694717,0.0007461753],"genre_scores_gemma":[0.9973186,0.0001809065,0.0009419243,0.00002261996,0.00002175457,0.00003014056,0.001305817,0.000005724378,0.0001725363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346408,"threshold_uncertainty_score":0.02677143,"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."}}