{"id":"W3016386039","doi":"10.1186/s12913-020-05213-6","title":"The impact of hospital language on the rate of in-hospital harm. A retrospective cohort study of home care recipients in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Institut du Savoir Montfort; Bruyère; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Harm; Health administration; Health care; Retrospective cohort study; Health informatics; Population; Family medicine; Public health; Medical emergency; Emergency medicine; Nursing; Environmental health; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004277527,0.0001457748,0.0005223702,0.0001319214,0.0005626157,0.000007744189,0.001114084,0.00009813696,0.00009342686],"category_scores_gemma":[0.0004298754,0.00009039541,0.00005906926,0.0009419728,0.00008595207,0.00004457497,0.0004357993,0.002148968,0.000004452005],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147552,"about_ca_system_score_gemma":0.00781942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957776,"about_ca_topic_score_gemma":0.9951515,"domain_scores_codex":[0.9913945,0.005523213,0.001169872,0.0003212228,0.0008771278,0.0007140168],"domain_scores_gemma":[0.9942934,0.002833857,0.0005805594,0.0009692667,0.001144526,0.0001784127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003372393,0.000183043,0.7082151,0.0005339968,0.00001726592,0.000001331987,0.2904217,0.00002910865,0.000001825983,0.00005702477,0.0001674042,0.00003495511],"study_design_scores_gemma":[0.000483755,0.002382503,0.6912665,0.0007405925,0.000001146573,2.014506e-8,0.3048563,0.0001815266,0.000005119979,0.00001708179,0.00001995555,0.00004551078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923652,0.000357491,9.349839e-8,0.002061088,0.0002010814,0.004039416,0.00009561103,0.00000765463,0.0008724019],"genre_scores_gemma":[0.9991357,0.00007928227,0.000005857631,0.0002621974,0.00003291462,0.0003985531,0.00001889092,0.00002077047,0.00004586955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169486,"threshold_uncertainty_score":0.9978053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05240511667354533,"score_gpt":0.4641770340865607,"score_spread":0.4117719174130154,"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."}}