{"id":"W2157372845","doi":"10.1109/cbms.2010.6042642","title":"Stream computing and its application to critical care","year":2010,"lang":"en","type":"article","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Computer science; Medical diagnosis; Process (computing); Critically ill; Intensive care; Blood stream; Remote patient monitoring; Intensive care medicine; Medicine; Operating system; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004452179,0.00003730534,0.00006311425,0.00003785915,0.00005789734,0.000002424035,0.0000209764,0.00009482884,0.00001033785],"category_scores_gemma":[0.0001560808,0.00003260788,0.000006337511,0.00005579414,0.00002022285,0.00001343418,0.0000237962,0.0001950328,0.00002967357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007516083,"about_ca_system_score_gemma":0.00001520283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002237652,"about_ca_topic_score_gemma":0.00002262532,"domain_scores_codex":[0.9996606,0.000004119891,0.00007023739,0.0001148697,0.00004818943,0.0001020422],"domain_scores_gemma":[0.999662,0.00004720256,0.000005678506,0.00009793323,0.00007898657,0.0001081404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001919554,0.00003983513,0.4080702,0.0002828221,0.00000425465,0.000006911659,0.001028794,4.256212e-7,0.04125227,0.04094268,0.00006660149,0.508286],"study_design_scores_gemma":[0.001767271,0.002003579,0.5978625,0.0003150326,0.0000977473,0.00026107,0.007328013,0.004845468,0.3562795,0.0006229999,0.02801013,0.0006067497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933406,0.00004770182,0.001289085,0.003065976,0.0001441415,0.0001940744,7.996671e-7,0.0001435637,0.001774082],"genre_scores_gemma":[0.9960567,9.155674e-7,0.003466768,0.0002990435,0.0001382729,0.000006411024,0.000003139433,0.000004124193,0.0000246188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5076793,"threshold_uncertainty_score":0.1329711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600137116406322,"score_gpt":0.3872898279000287,"score_spread":0.3612884567359655,"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."}}