{"id":"W2326917121","doi":"10.5430/jha.v5n3p76","title":"Physician awareness of patient cardiac telemetry monitoring","year":2016,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemetry; Medicine; Medical emergency; Guideline; ALARM; Cardiac monitoring; Biotelemetry; Emergency medicine; Computer science; Cardiology; Engineering; Telecommunications; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001574332,0.00008575559,0.0002738408,0.000114041,0.00003570113,0.000003724824,0.00005797755,0.00009940544,0.00000353967],"category_scores_gemma":[0.0001538557,0.00005659302,0.0001252813,0.0001218871,0.00004522386,0.0001688325,0.00001195888,0.0001447655,0.000002648409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008101259,"about_ca_system_score_gemma":0.0002371442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003270315,"about_ca_topic_score_gemma":2.086763e-7,"domain_scores_codex":[0.9989521,0.00002864381,0.0005082445,0.0000837206,0.0003001842,0.0001271047],"domain_scores_gemma":[0.9988642,0.00006001716,0.000490481,0.00013344,0.0003630913,0.0000887311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001464372,0.0003158023,0.9030187,0.00006306616,0.00006755303,0.00003843788,0.0001787147,3.490028e-7,0.01440912,0.00009899856,0.00004971141,0.08161315],"study_design_scores_gemma":[0.0006118612,0.01967945,0.254393,0.0009237838,0.00007661078,0.00002515658,0.0008217057,6.578261e-7,0.7227541,0.0001837271,0.0004261024,0.000103846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967022,0.0002307525,0.0001433795,0.0008806034,0.001788241,0.0001144644,0.000005144535,0.00001472393,0.0001204862],"genre_scores_gemma":[0.9986153,0.00008357037,0.000670742,0.000008903803,0.0005943237,0.000002485905,0.000001023541,0.000008906728,0.00001476273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.708345,"threshold_uncertainty_score":0.2307796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172257487627828,"score_gpt":0.3102059940375367,"score_spread":0.2929802452747539,"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."}}