{"id":"W2782020519","doi":"10.1017/s0714980817000538","title":"Adverse Events in Home Care: Identifying and Responding with interRAI Scales and Clinical Assessment Protocols","year":2018,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Waterloo","funders":"Canadian Institutes of Health Research; University of Cambridge; Ontario Ministry of Health and Long-Term Care","keywords":"Psychosocial; Psychological intervention; Medicine; Distress; Health care; Mood; Mental health; Psychology; Nursing; Psychiatry; Clinical psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1186597,0.0007791028,0.001336753,0.003325569,0.0009371334,0.003072751,0.001993081,0.0009852913,0.002734736],"category_scores_gemma":[0.2051577,0.0007088816,0.001780874,0.001883698,0.0009498142,0.002230751,0.003492482,0.001519703,0.001010874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767125,"about_ca_system_score_gemma":0.006850211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001395825,"about_ca_topic_score_gemma":0.002267735,"domain_scores_codex":[0.8468025,0.1127863,0.02437961,0.003738819,0.01102473,0.001268133],"domain_scores_gemma":[0.8177153,0.1047562,0.03045387,0.01318983,0.03137663,0.002508141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004290958,0.003515392,0.3074824,0.003622928,0.0007198856,0.0001886712,0.007510723,0.006241373,0.001731721,0.003373571,0.01326401,0.6480585],"study_design_scores_gemma":[0.002883195,0.01245255,0.8521743,0.004877562,0.0008433672,0.001036026,0.009204276,0.04709416,0.008370597,0.01192499,0.04855198,0.0005868858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5564536,0.002985192,0.2326768,0.004964467,0.0005799087,0.1543333,0.005834198,0.002130599,0.04004189],"genre_scores_gemma":[0.4931118,0.002067916,0.3351986,0.001275992,0.0002365547,0.1603674,0.004142289,0.000171246,0.003428249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186597,"threshold_uncertainty_score":0.6275398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819953611192038,"score_gpt":0.379426187342515,"score_spread":0.3412266512305946,"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."}}