{"id":"W3196324378","doi":"10.21203/rs.3.rs-835673/v1","title":"The Predictive Utility of Functional Status at Discharge: A Population-level Cohort Analysis","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Medicine; Emergency department; Odds ratio; Confidence interval; Acute care; Cohort; Retrospective cohort study; Hospital discharge; Cohort study; Gerontology; Emergency medicine; Health care; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00245714,0.0004630288,0.0005228599,0.0008693803,0.0008117112,0.001234154,0.0009159968,0.000652619,0.001812711],"category_scores_gemma":[0.004994162,0.0004003116,0.001254146,0.001165933,0.0005591596,0.0006670271,0.0009478864,0.00120504,0.0002683506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007958811,"about_ca_system_score_gemma":0.001123532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03551041,"about_ca_topic_score_gemma":0.03505349,"domain_scores_codex":[0.9986995,0.0003062368,0.0001087127,0.0004116248,0.0002149787,0.0002588764],"domain_scores_gemma":[0.9971727,0.0006010148,0.0008384851,0.0005503778,0.0004135044,0.0004237997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506218,0.00002665182,0.9989705,0.000004390852,0.0001399088,0.00004354068,0.00004662203,0.00003760098,0.00007336094,0.00001254489,0.0001042118,0.0003900671],"study_design_scores_gemma":[0.00002562961,0.0001669241,0.9982067,0.000008281212,0.0001430781,0.0001326878,0.0002049144,0.0008617236,0.00003743371,0.00003565762,0.0001681804,0.000008863881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987994,0.00008834476,0.0001737765,0.00003645494,0.000008037216,0.0000167971,0.0006901001,0.000003913889,0.0001831534],"genre_scores_gemma":[0.9992384,0.00003464047,0.00008686368,0.00001510625,0.000006786005,0.00001041422,0.0005421514,0.000002210073,0.00006336474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03551041,"threshold_uncertainty_score":0.07060748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1671087067082652,"score_gpt":0.4934385684534746,"score_spread":0.3263298617452094,"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."}}