{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001413998,0.00006732861,0.0002331768,0.00005197538,0.00007657016,0.00003855709,0.0002538739,0.00004625738,0.0004501285],"category_scores_gemma":[0.00008843971,0.00005517075,0.00003601827,0.00002080223,0.0001461805,0.0001254302,0.0001339343,0.00005644033,0.00002207309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000983924,"about_ca_system_score_gemma":0.00004221181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543844,"about_ca_topic_score_gemma":0.0003632991,"domain_scores_codex":[0.9993726,0.00003961311,0.0001615131,0.000184481,0.0001315299,0.0001102588],"domain_scores_gemma":[0.9991763,0.00003453776,0.00005795661,0.0006102498,0.000005917513,0.0001149947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003935954,0.000625726,0.9802988,0.00002328477,0.00001321539,0.00002512189,0.0007833494,9.806712e-8,0.0003175742,0.0006978087,0.00004330103,0.0171324],"study_design_scores_gemma":[0.001290012,0.0002561275,0.9867505,0.0000535717,0.00003136635,0.000001779811,0.001525732,0.000001288024,0.009461557,0.00005499666,0.0005171678,0.00005594327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879339,0.0001760175,4.617111e-7,0.0007465797,0.00004127903,0.0003339006,0.00003498005,0.000003283692,0.01072958],"genre_scores_gemma":[0.999437,0.00001822479,0.0002259034,0.0001798724,0.00002306713,0.00004138923,0.00003539169,0.000007953921,0.00003115382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01707645,"threshold_uncertainty_score":0.4928592,"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."}}