{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006961966,0.0001643535,0.0002387104,0.000389435,0.0008573573,0.000001236953,0.0002242607,0.0001041399,0.00008241189],"category_scores_gemma":[0.0001841851,0.0001585865,0.00005857942,0.0005025789,0.00003945163,0.0001284378,0.0006695266,0.0002782031,0.0002962077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975859,"about_ca_system_score_gemma":0.00009572058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000679376,"about_ca_topic_score_gemma":0.006266222,"domain_scores_codex":[0.9974244,0.0003434458,0.0006633264,0.0004317568,0.0002647079,0.0008723816],"domain_scores_gemma":[0.9987378,0.00006462594,0.0002028386,0.0003640903,0.0002396695,0.0003909457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006752294,0.0002057945,0.8781785,0.004666756,0.00007581473,0.0000353344,0.04796082,0.0001304598,0.00006621026,0.009825936,0.008308338,0.04987083],"study_design_scores_gemma":[0.001555799,0.0005798647,0.8671199,0.005224919,0.00002464623,0.000001459163,0.09382363,0.00003262248,0.00003462701,0.0005300716,0.03078926,0.000283201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375269,0.000204165,0.006991186,0.04831815,0.001951555,0.003812899,0.00009925663,0.0001155079,0.0009804186],"genre_scores_gemma":[0.9912483,0.00009014093,0.0005859139,0.006638253,0.0001313022,0.0005110968,0.00006105879,0.00001939829,0.0007145182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05372146,"threshold_uncertainty_score":0.6594186,"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."}}