{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743188,0.00121823,0.001189854,0.003719566,0.0006554583,0.00188149,0.001924234,0.001026237,0.04050043],"category_scores_gemma":[0.01207404,0.0004531553,0.001008596,0.004883873,0.0003944438,0.001324006,0.001759399,0.001447605,0.05253606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679143,"about_ca_system_score_gemma":0.003334585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02884842,"about_ca_topic_score_gemma":0.02448244,"domain_scores_codex":[0.997054,0.0004102052,0.0006118568,0.0007919004,0.0008556865,0.0002763676],"domain_scores_gemma":[0.995483,0.0008754891,0.0004387886,0.001184698,0.001762874,0.0002551021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003135119,0.00005306349,0.006843499,0.0009375451,0.0000841827,0.0001428822,0.00005866691,0.001608565,0.000544795,0.001370487,0.9644907,0.02355228],"study_design_scores_gemma":[0.0003818769,0.0001249985,0.03177144,0.0004352677,0.00007322992,0.0004952278,0.0001438299,0.006279856,0.001090538,0.002674388,0.9564293,0.0001001605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00249638,0.0005072654,0.001351108,0.0003810955,0.0001596188,0.0001924692,0.9862502,0.002989661,0.005672157],"genre_scores_gemma":[0.005135107,0.0002486397,0.001588966,0.0001402568,0.00004444035,0.0002584078,0.990784,0.0001161228,0.001683995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04050043,"threshold_uncertainty_score":0.1354874,"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."}}