{"id":"W2626331133","doi":"10.1186/s12913-017-2351-8","title":"Associations between patient factors and adverse events in the home care setting: a secondary data analysis of two canadian adverse event studies","year":2017,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; McGill University Health Centre; St. Lawrence College","funders":"","keywords":"Medicine; Adverse effect; Health administration; Health care; Public health; Nursing research; Vulnerability (computing); Emergency medicine; Nursing; Internal medicine","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":[0.009134679,0.0008919745,0.001478508,0.006156976,0.002849293,0.001676653,0.001990012,0.000583973,0.001611595],"category_scores_gemma":[0.01983453,0.0006207523,0.00330977,0.01243125,0.0009179854,0.0004015926,0.002150194,0.0009945021,0.000182099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0256977,"about_ca_system_score_gemma":0.05282755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9683687,"about_ca_topic_score_gemma":0.9696105,"domain_scores_codex":[0.993437,0.001382163,0.0008126646,0.0007792821,0.002681822,0.0009070759],"domain_scores_gemma":[0.972558,0.0043708,0.005865282,0.00159228,0.01382473,0.001788945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000988669,0.0001273313,0.9868639,0.0007096188,0.001233836,0.0001848648,0.001402846,0.0003877377,0.0002410836,0.0002181112,0.001716645,0.005925433],"study_design_scores_gemma":[0.0001064046,0.0001573297,0.9968549,0.0001096572,0.0004431224,0.00005662675,0.0006221691,0.0003589836,0.00008222267,0.00003535399,0.001147171,0.00002599335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711301,0.001147836,0.000771443,0.000157299,0.00001546789,0.001020062,0.02442187,0.000017669,0.001318097],"genre_scores_gemma":[0.972133,0.0009754841,0.002012642,0.0001542189,0.00001582464,0.001203735,0.02282987,0.00001324572,0.0006618622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03163129,"threshold_uncertainty_score":0.1864507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1819776404438667,"score_gpt":0.5327892089694646,"score_spread":0.3508115685255979,"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."}}