{"id":"W2078277873","doi":"10.1145/1266894.1266923","title":"High frequency distributed data stream event correlation to improve neonatal clinical management","year":2007,"lang":"en","type":"article","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Intensive care; Referral; Event (particle physics); Health care; Medicine; Computer science; Pediatrics; Medical emergency; Intensive care medicine; Family medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000905768,0.0001069471,0.0001881062,0.00009683832,0.00006216895,0.000004425124,0.0001957144,0.0002020266,0.00007269595],"category_scores_gemma":[0.0001619609,0.00009177877,0.00003325965,0.0002191041,0.00003153132,0.00007773023,0.0002193931,0.0003255761,0.000150325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059445,"about_ca_system_score_gemma":0.00003836564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003937158,"about_ca_topic_score_gemma":0.0001355469,"domain_scores_codex":[0.9985094,0.00002296008,0.0005517391,0.0004067237,0.0002139009,0.0002952934],"domain_scores_gemma":[0.9986455,0.0001034872,0.00007194591,0.0008900287,0.00006400878,0.0002250501],"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":[0.0001644155,0.0001758028,0.4120012,0.00004927176,0.00007249233,0.0001712401,0.00002580589,0.000003313211,0.00003209501,0.00432771,0.001965422,0.5810112],"study_design_scores_gemma":[0.002217802,0.00123586,0.9785039,0.0001702039,0.00014019,0.00002222894,0.0005240904,0.0004109898,0.0008797331,0.0004401912,0.01521387,0.0002409158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7892509,0.0000423038,0.2044535,0.002146329,0.001960422,0.0008348523,0.00009324215,0.0002956079,0.0009228241],"genre_scores_gemma":[0.9789309,0.00002457168,0.01872437,0.0003457953,0.0003005274,0.000008199343,0.0012484,0.00001024253,0.0004070215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5807703,"threshold_uncertainty_score":0.374263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05762693528142176,"score_gpt":0.3993440064277378,"score_spread":0.3417170711463161,"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."}}