{"id":"W4297225278","doi":"10.1287/opre.2022.2300","title":"Individualized Dynamic Patient Monitoring Under Alarm Fatigue","year":2022,"lang":"en","type":"article","venue":"Operations Research","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta; University of Calgary","funders":"","keywords":"ALARM; Computer science; Harm; Constant false alarm rate; False positive paradox; False alarm; Process (computing); Medical emergency; Medicine; Artificial intelligence; Psychology; Social psychology; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008481827,0.00008810812,0.0001451358,0.0005049979,0.001679534,0.00003392946,0.0001600767,0.00008315198,0.0005500233],"category_scores_gemma":[0.0001993731,0.00008795892,0.00003935083,0.0008743891,0.00008748799,0.00007557015,0.000295801,0.001258274,0.00004638834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282479,"about_ca_system_score_gemma":0.0004072001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002750682,"about_ca_topic_score_gemma":0.00003449599,"domain_scores_codex":[0.9977812,0.0004005388,0.000220452,0.0002815748,0.0008896164,0.0004266297],"domain_scores_gemma":[0.9990618,0.0001117271,0.00001345315,0.0004171997,0.0002611762,0.0001346189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008068062,0.003694642,0.4188764,0.000395908,0.0006474919,0.0007389892,0.02381187,0.04902849,0.1085974,0.01944055,0.008397329,0.3655641],"study_design_scores_gemma":[0.01691928,0.02057169,0.1820675,0.001048993,0.00022756,0.001129608,0.1673796,0.06412048,0.1572286,0.002076175,0.3846546,0.00257596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900637,0.0003497872,0.0001749562,0.006573949,0.0004225074,0.0007526811,0.00002625604,0.0001188552,0.00151727],"genre_scores_gemma":[0.9952267,0.00006126697,0.001919784,0.00007826323,0.00007258006,0.0007396489,0.00006817556,0.00002235298,0.001811238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3762572,"threshold_uncertainty_score":0.9996201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306979716111738,"score_gpt":0.4962284166904971,"score_spread":0.2655304450793233,"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."}}