{"id":"W2399205407","doi":"10.1016/s1553-7250(08)34008-2","title":"Implementing an MET–based RRS at Toronto General Hospital","year":2008,"lang":"en","type":"article","venue":"The Joint Commission Journal on Quality and Patient Safety","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto General Hospital; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; MEDLINE; Medical emergency; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001553233,0.0001977901,0.000358303,0.00005576203,0.002002435,0.00001177841,0.0001092971,0.0001365181,0.0003111777],"category_scores_gemma":[0.0001759426,0.0001214616,0.0001322358,0.00007479712,0.0001203143,0.0001370915,0.0001076916,0.0006304657,0.000007826662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884624,"about_ca_system_score_gemma":0.00009816614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000221445,"about_ca_topic_score_gemma":0.0000370438,"domain_scores_codex":[0.9973876,0.0006762259,0.0008090524,0.0002127989,0.0004930546,0.0004213077],"domain_scores_gemma":[0.9984681,0.0001658802,0.0004029011,0.0003987198,0.0001295237,0.0004348593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007370226,0.002244246,0.5922552,0.0002409532,0.0002758106,0.000352426,0.01987319,0.0001194988,0.004823987,0.005793405,0.0056133,0.3610378],"study_design_scores_gemma":[0.005745912,0.01460719,0.7304776,0.000746835,0.0001082596,0.0009191143,0.003868851,0.0006157727,0.01102792,0.0004569098,0.2307556,0.0006700578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891858,0.0003660642,0.0001982031,0.008228273,0.0004741051,0.0003023724,0.00001162073,0.00006949146,0.0011641],"genre_scores_gemma":[0.9965661,0.0002667766,0.001142678,0.001589723,0.0002198368,0.000005179182,0.00001912975,0.00001602506,0.0001745088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3603677,"threshold_uncertainty_score":0.9992968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236079575749205,"score_gpt":0.3809119467939061,"score_spread":0.2573039892189856,"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."}}