{"id":"W3157662659","doi":"10.1097/md.0000000000025737","title":"Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units","year":2021,"lang":"en","type":"article","venue":"Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Mount Sinai Hospital; Institute for Clinical Evaluative Sciences; Lakeridge Health; University of Toronto; University Health Network; Toronto General Hospital; Queen's University","funders":"","keywords":"Medicine; Overcrowding; Emergency medicine; Adverse effect; Retrospective cohort study; Hospital medicine; Specialty; Medical record; Internal medicine; Family medicine","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":[0.001030183,0.0002250332,0.0003604352,0.00108081,0.0004340993,0.001184164,0.0003749484,0.0003653397,0.002131003],"category_scores_gemma":[0.005846368,0.0001675021,0.0005402706,0.001876651,0.0003950702,0.0006432128,0.0008938641,0.0006759894,0.0001674853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038287,"about_ca_system_score_gemma":0.0005528453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481448,"about_ca_topic_score_gemma":0.003087157,"domain_scores_codex":[0.998781,0.0002616049,0.0002542962,0.0002056558,0.0002950922,0.0002023373],"domain_scores_gemma":[0.9929201,0.0007878165,0.004334338,0.000147838,0.0006180937,0.001191794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005457625,0.00002883458,0.999196,0.00001009929,0.00004026285,0.00002535051,0.00004518359,0.00002224586,0.00002663296,0.000009541546,0.00005063822,0.0004907258],"study_design_scores_gemma":[0.000006225264,0.0001172609,0.9992602,0.00001068642,0.00001600483,0.0001020085,0.0002518789,0.0001257124,0.00003821162,0.00001774514,0.00005085797,0.000003285925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994161,0.0001589653,0.00002261388,0.00004527331,0.000006397015,0.000003696244,0.0002016644,0.00000120947,0.0001441724],"genre_scores_gemma":[0.9996246,0.00004580168,0.00003140937,0.00002100615,0.000009839328,0.000003428495,0.0002384908,5.422697e-7,0.00002481541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481448,"threshold_uncertainty_score":0.007533312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517499785342298,"score_gpt":0.3716603737337955,"score_spread":0.3364853758803725,"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."}}