{"id":"W1991170684","doi":"10.1213/ane.0b013e318241f7c0","title":"University of Queensland Vital Signs Dataset","year":2011,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Economy, Trade and Industry","keywords":"Medicine; Vital signs; Anesthesia; Blood pressure; Intensive care; Capnography; Airway; Medical emergency; Emergency medicine; Intensive care medicine; Internal medicine","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":[0.0001029174,0.00008061971,0.0001903525,0.00009133935,0.00005544896,9.200024e-7,0.0001027563,0.0001305164,0.0003191091],"category_scores_gemma":[0.000008580961,0.00007909314,0.00004285395,0.000142188,0.0001085731,0.00005253839,0.00001431032,0.0001349799,0.0001589279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573101,"about_ca_system_score_gemma":0.00005995527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008911138,"about_ca_topic_score_gemma":0.0000261797,"domain_scores_codex":[0.9994472,0.00003468589,0.0001143433,0.0001499076,0.00009500218,0.0001589025],"domain_scores_gemma":[0.9994872,0.00002035989,0.00006308566,0.0002965612,0.00004208841,0.00009075674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003639575,0.0002019966,0.9820711,0.0001074141,0.00007231655,0.001678346,0.0008803916,2.250777e-7,0.001185937,0.001125086,0.009048529,0.003264674],"study_design_scores_gemma":[0.001430834,0.002095361,0.9127545,0.0001979459,0.0002456098,0.0008929322,0.001416127,0.0000170739,0.0156799,0.0001834737,0.06476789,0.0003183059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975045,0.0001016779,0.00017656,0.000487647,0.00001869686,0.0001214392,0.00001572404,0.00005175978,0.001521949],"genre_scores_gemma":[0.9985729,0.00004541472,0.000898533,0.0001150239,0.00002261045,3.394053e-7,0.0001388588,0.00000750474,0.0001987513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06931657,"threshold_uncertainty_score":0.3494021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156495431940817,"score_gpt":0.2607345652625132,"score_spread":0.209169610943105,"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."}}