{"id":"W2100363874","doi":"10.1186/1472-6947-11-39","title":"Method for Assigning Priority Levels in Acute Care (MAPLe-AC) predicts outcomes of acute hospital care of older persons - a cross-national validation","year":2011,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Frailty in Older Adults","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Homewood Research Institute; University of Waterloo","funders":"Canadian Institutes of Health Research; Health Canada; Diakonhjemmet; Diakonhjemmet Høgskole; Nordisk Ministerråd","keywords":"Medicine; Acute care; Health informatics; Emergency medicine; Acute hospital; Usability; MEDLINE; Medical emergency; Health care; Public health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008608391,0.0001868619,0.0005812507,0.0002798406,0.00007137737,0.00002736229,0.000181518,0.0002699105,0.0000661247],"category_scores_gemma":[0.001545124,0.000146943,0.0001584381,0.0001973698,0.0001267327,0.0003197609,0.0001642762,0.0002199789,0.000001048143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008727639,"about_ca_system_score_gemma":0.0004881658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556575,"about_ca_topic_score_gemma":0.00001787199,"domain_scores_codex":[0.9970669,0.00003379355,0.001161091,0.0001709176,0.001327892,0.000239419],"domain_scores_gemma":[0.9971936,0.00123761,0.0004564598,0.0002166697,0.0007275738,0.0001681037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006090687,0.0002727408,0.6084018,0.003410378,0.0004938038,0.00001812785,0.1428408,0.0001063924,0.00004935547,0.001196248,0.0004108696,0.2421905],"study_design_scores_gemma":[0.01157671,0.0009131051,0.8299954,0.003698133,0.0004618613,0.00007120913,0.01603009,0.1338183,0.001516399,0.001449563,0.00008805245,0.0003811957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4862285,0.00006018433,0.5123333,0.00001316508,0.0001436241,0.000539102,0.0002164719,0.00001587568,0.0004497462],"genre_scores_gemma":[0.5500508,0.000008718511,0.4497729,0.00006435026,0.00001955188,0.00002133681,0.00004585782,0.000009332743,0.000007212409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2418093,"threshold_uncertainty_score":0.599216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600738503951196,"score_gpt":0.4079403583217482,"score_spread":0.3419329732822362,"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."}}