{"id":"W2345399300","doi":"10.1056/em200007180000008","title":"Does Telemetry Save Lives","year":2000,"lang":"en","type":"article","venue":"Journal watch","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemetry; Medicine; Myocardial infarction; Medical emergency; Emergency medicine; Intensive care medicine; Cardiology; Telecommunications; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000203801,0.0000748497,0.0001560606,0.0000590825,0.0001620523,0.00001125634,0.00006625109,0.0001084836,0.001642801],"category_scores_gemma":[0.0000602197,0.0000395841,0.00006343065,0.000120233,0.00003225327,0.00006425066,0.000008538615,0.0006680992,0.0001963603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006998409,"about_ca_system_score_gemma":0.00005300488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602868,"about_ca_topic_score_gemma":0.000003649164,"domain_scores_codex":[0.9992616,0.0000305934,0.0002203718,0.00009241782,0.0001683053,0.0002267761],"domain_scores_gemma":[0.9995737,0.00003851291,0.00004385483,0.0001354066,0.00005510541,0.0001534335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001350936,0.0001018501,0.4345211,0.00004557575,0.00005695713,0.0004940462,0.000842463,0.000001209298,0.0006558636,0.00001764592,0.006392405,0.5567358],"study_design_scores_gemma":[0.002290426,0.001586681,0.1539787,0.000767026,0.0001222185,0.004555445,0.001621213,0.00003602028,0.02176596,0.003208251,0.8097159,0.0003521991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675134,0.0002099089,0.0000114874,0.02859771,0.0005777958,0.00007302923,9.334723e-7,0.00007205889,0.002943649],"genre_scores_gemma":[0.9857582,0.001939295,0.001316274,0.0004726921,0.001017418,0.000001859159,0.000001125534,0.00001049928,0.009482593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8033234,"threshold_uncertainty_score":0.9992698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698167368245473,"score_gpt":0.3124970409339923,"score_spread":0.2955153672515376,"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."}}