{"id":"W2719044044","doi":"10.9778/cmajo.20150139","title":"An environmental scan of quality indicators in critical care","year":2017,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"Agency for Healthcare Research and Quality; National Academies of Sciences, Engineering, and Medicine","keywords":"Quality (philosophy); Grading (engineering); Stakeholder; Performance indicator; Business; Categorization; Process management; Medicine; Computer science; Political science; Public relations; Marketing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04619258,0.0005304387,0.0007177158,0.02134097,0.001845067,0.003165261,0.001660061,0.001731803,0.007379756],"category_scores_gemma":[0.1635936,0.0006034542,0.001053155,0.02085872,0.002109651,0.004073388,0.005061967,0.001793827,0.001375546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00450178,"about_ca_system_score_gemma":0.01477738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180101,"about_ca_topic_score_gemma":0.007412828,"domain_scores_codex":[0.9270575,0.03797614,0.01313351,0.00342411,0.01658141,0.00182741],"domain_scores_gemma":[0.7043928,0.1490288,0.05620098,0.01410966,0.07316971,0.003098066],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001075653,0.0003984153,0.3351519,0.02288711,0.0005780871,0.001926803,0.01495979,0.001652811,0.005633233,0.04216763,0.06288558,0.5106829],"study_design_scores_gemma":[0.0001923116,0.0008406283,0.2507023,0.03962964,0.0008196807,0.003415109,0.0145377,0.003738166,0.01434939,0.02647167,0.6450595,0.0002438728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4383124,0.06506192,0.1353852,0.08302105,0.001826354,0.009294598,0.05705321,0.002991039,0.2070541],"genre_scores_gemma":[0.7639661,0.01315563,0.1715575,0.01971107,0.000553231,0.009881468,0.01369597,0.000592411,0.006886659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9538074,"threshold_uncertainty_score":0.2442926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1772970429515722,"score_gpt":0.4914304780685647,"score_spread":0.3141334351169924,"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."}}