{"id":"W2888368977","doi":"10.1177/0840470418782261","title":"Contributing causes to adverse events in home care and potential interventions to reduce their incidence","year":2018,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"Institute of Health Services and Policy Research; Canadian Patient Safety Institute; Alberta Health Services","keywords":"SAFER; Psychological intervention; Medicine; Nursing; Medical emergency; Adverse effect; Business; Patient safety; Task (project management); Health care; Computer security; Computer science","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":[0.003721081,0.0003654208,0.000380646,0.002266224,0.001618154,0.001282696,0.0004945662,0.0004581233,0.002733971],"category_scores_gemma":[0.01686927,0.000245757,0.0008413182,0.001315638,0.00052705,0.0008804107,0.001414766,0.0009345778,0.0001783167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123505,"about_ca_system_score_gemma":0.003254285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007119942,"about_ca_topic_score_gemma":0.01722185,"domain_scores_codex":[0.9958429,0.001640489,0.0005768838,0.0002587872,0.001102496,0.0005784754],"domain_scores_gemma":[0.9852067,0.00497338,0.005102622,0.0008025527,0.00291813,0.000996612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007578086,0.0001558838,0.9177667,0.0001925161,0.00009804986,0.0004380817,0.001519079,0.0002916475,0.0001675716,0.0007404782,0.001217656,0.07733653],"study_design_scores_gemma":[0.00001061059,0.0002042427,0.9803327,0.0005587048,0.0001449732,0.001502962,0.009309975,0.001104362,0.0004916119,0.001755333,0.004546773,0.00003772417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703556,0.006146,0.006404392,0.005666244,0.0002668593,0.0004188485,0.0004617384,0.0001394984,0.01014086],"genre_scores_gemma":[0.9915267,0.00307037,0.003897478,0.0003424927,0.0001498886,0.0000691582,0.0002307031,0.00001598493,0.0006973044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007119942,"threshold_uncertainty_score":0.01967925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05692792408493903,"score_gpt":0.4259920160290008,"score_spread":0.3690640919440618,"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."}}