{"id":"W2765615373","doi":"10.5334/ijic.3678","title":"Can we predict your future? Using scores to predict length of stay and discharge destination","year":2017,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Audit; Stroke (engine); Cohort; Montreal Cognitive Assessment; Acute care; Population; Emergency medicine; Case mix index; Physical therapy; Pediatrics; Cognition; Health care; Cognitive impairment; Nursing; Internal medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001804921,0.0002985502,0.0003879981,0.002406496,0.0003146812,0.0010764,0.0004623873,0.0002603661,0.001876363],"category_scores_gemma":[0.007426316,0.0001996457,0.0003950935,0.001695623,0.0003585867,0.0006339626,0.0008537336,0.0005434663,0.0005352061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006844939,"about_ca_system_score_gemma":0.0006665946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006511215,"about_ca_topic_score_gemma":0.008884576,"domain_scores_codex":[0.9987836,0.0003311713,0.0003005026,0.000100802,0.0003251752,0.0001586503],"domain_scores_gemma":[0.99532,0.0007814881,0.00204545,0.0001427842,0.0009345436,0.0007757744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000583798,0.00002794066,0.9971053,0.00001294131,0.00001123031,0.00002057429,0.00007876063,0.00003669166,0.00001990399,0.000006577311,0.0002403921,0.002381364],"study_design_scores_gemma":[0.000006903316,0.0002443302,0.9983107,0.00002689377,0.00001153169,0.0001229288,0.0004726459,0.0003282268,0.00008986915,0.00003153717,0.0003466092,0.000007909998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963704,0.0001436626,0.0002106134,0.0001741674,0.00002082751,0.00009074875,0.001471217,0.00001426066,0.001504024],"genre_scores_gemma":[0.9979981,0.0001368603,0.0003927857,0.0000205919,0.000007788705,0.00005283395,0.001091911,0.000002946217,0.0002962844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006511215,"threshold_uncertainty_score":0.01294661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205235577183745,"score_gpt":0.308244396661595,"score_spread":0.2877208389432205,"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."}}