{"id":"W3180682405","doi":"10.1503/cmaj.200022","title":"Predicting death in home care users: derivation and validation of the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT)","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Ottawa Public Health; McMaster University; Women's College Hospital; Ottawa Hospital","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality; Ontario Ministry of Health and Long-Term Care","keywords":"Computer science; Gerontology; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.006822569,0.0007006824,0.0005395434,0.001695865,0.0004734748,0.0009239897,0.0009692669,0.0004800093,0.0008807507],"category_scores_gemma":[0.02462695,0.0002151664,0.001266886,0.0009141436,0.0002705098,0.000461805,0.001475785,0.0006724275,0.0002490717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538763,"about_ca_system_score_gemma":0.003252832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08240131,"about_ca_topic_score_gemma":0.1133831,"domain_scores_codex":[0.997917,0.0008332251,0.0002505014,0.0002348022,0.0006441429,0.0001203082],"domain_scores_gemma":[0.9932632,0.002547482,0.001209199,0.0005916992,0.001910746,0.0004777867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003859863,0.0002286771,0.9634239,0.00007656605,0.0001916039,0.00007768031,0.000288408,0.005032655,0.0001416148,0.0002884669,0.002609816,0.02725465],"study_design_scores_gemma":[0.0001670264,0.0006026289,0.9028411,0.0001724832,0.0002020894,0.0002943071,0.0005394967,0.09105247,0.0005990893,0.0009794873,0.002489348,0.00006045799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979297,0.0001745494,0.01131509,0.0003246121,0.00002473895,0.0007179966,0.006486516,0.0002115769,0.001447985],"genre_scores_gemma":[0.9771577,0.0001242169,0.01374019,0.00005992518,0.00001242098,0.0003885835,0.008172664,0.00001800276,0.0003263921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08240131,"threshold_uncertainty_score":0.1638433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05334046360955241,"score_gpt":0.3691424494739565,"score_spread":0.3158019858644041,"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."}}