{"id":"W3115669019","doi":"10.1684/pnv.2020.0904","title":"Incidence, criticality and typology of care-related adverse events in nursing homes based on initial epidemiological characteristics and possible prevention measures in France","year":2020,"lang":"en","type":"article","venue":"Gériatrie et Psychologie Neuropsychiatrie du Viellissement","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Incidence (geometry); Typology; Adverse effect; Nursing homes; Observational study; Nursing; Incident report; Medical emergency; Near miss; Emergency medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001897788,0.000303558,0.0003801398,0.003470869,0.0004330685,0.001007181,0.0003267736,0.000448153,0.0009400057],"category_scores_gemma":[0.004952094,0.0001665287,0.0005321946,0.001591742,0.0004606007,0.0006589257,0.000659328,0.0002907002,0.0001246971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099758,"about_ca_system_score_gemma":0.001110392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03571532,"about_ca_topic_score_gemma":0.03147909,"domain_scores_codex":[0.9982392,0.000560948,0.0003172687,0.0002469718,0.000397109,0.0002385565],"domain_scores_gemma":[0.9929906,0.001529793,0.003516143,0.0001947606,0.001207034,0.0005616461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000792945,0.00003486771,0.995153,0.00003404903,0.00002953604,0.00008326604,0.0004149882,0.00008359273,0.0001139018,0.00002536092,0.0001286698,0.003819401],"study_design_scores_gemma":[0.000001832784,0.00006812207,0.9989748,0.00001650086,0.000005633679,0.0001076703,0.0005462723,0.00008412674,0.00002840791,0.00001487408,0.0001473574,0.000004495058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981918,0.0008293245,0.0001767965,0.0000572527,0.000005593132,0.00001929641,0.0003541354,0.00000729251,0.0003585004],"genre_scores_gemma":[0.9989855,0.0003804229,0.0001607151,0.0000232299,0.000008842255,0.0000170916,0.0003089323,0.000001442076,0.0001138465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03571532,"threshold_uncertainty_score":0.07101482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512332811998859,"score_gpt":0.4269615838348413,"score_spread":0.3757283026349554,"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."}}