{"id":"W2009997847","doi":"10.1111/j.1365-2044.2006.04803.x","title":"Automated calculation of ‘early warning scores’","year":2006,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vital signs; Medicine; Early warning score; Raw data; Set (abstract data type); Weighting; Documentation; Warning system; Data collection; Medical emergency; Data mining; Computer science; Statistics; Surgery","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":[0.006774963,0.001561424,0.001658114,0.006035309,0.0004157161,0.002889914,0.001920262,0.0009372659,0.009766378],"category_scores_gemma":[0.04191074,0.0008090922,0.0008443189,0.003172313,0.0004992228,0.001703106,0.001994009,0.0015015,0.005454149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181531,"about_ca_system_score_gemma":0.001055116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214441,"about_ca_topic_score_gemma":0.002024265,"domain_scores_codex":[0.9927987,0.002605981,0.0009262362,0.001186663,0.002213288,0.0002691576],"domain_scores_gemma":[0.9722672,0.01217692,0.004032312,0.002420829,0.008574525,0.0005283034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001452355,0.0002618043,0.05535577,0.0009786051,0.0003644977,0.0002257944,0.0004468531,0.008565137,0.005452857,0.002983688,0.05731944,0.8665932],"study_design_scores_gemma":[0.001145299,0.003017725,0.3109019,0.001795991,0.0009845407,0.003195918,0.000868406,0.4141389,0.06623507,0.03728852,0.1592445,0.001183158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0976325,0.002225068,0.838294,0.001518841,0.001476325,0.002699279,0.01320117,0.02373404,0.0192188],"genre_scores_gemma":[0.2965806,0.001302727,0.6809481,0.0009474176,0.0008478136,0.00244239,0.009391515,0.001299238,0.006240119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009766378,"threshold_uncertainty_score":0.03582984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04758508727667624,"score_gpt":0.3123593089156596,"score_spread":0.2647742216389833,"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."}}