{"id":"W4394573496","doi":"10.2196/55571","title":"Alarm Management in Intensive Care: Qualitative Triangulation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Preprint; ALARM; Disturbance (geology); Qualitative research; Computer science; Engineering; Sociology; Geology; Electrical engineering; World Wide Web; Social science","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":[0.0001970311,0.0001239408,0.0002017079,0.0005335271,0.00006204543,0.00001464511,0.00005453097,0.0001023986,0.00003444852],"category_scores_gemma":[0.00004790672,0.0001049755,0.00004885576,0.0003651199,0.00003301822,0.00006769104,0.00003675591,0.0003392628,0.00003272491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815106,"about_ca_system_score_gemma":0.00002191439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235119,"about_ca_topic_score_gemma":0.00008985116,"domain_scores_codex":[0.9989687,0.0001034353,0.0002703854,0.0002710221,0.0002033153,0.0001831085],"domain_scores_gemma":[0.9995337,0.00007278771,0.00003104546,0.0001905304,0.0001202199,0.00005171633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001040871,0.0001879278,0.3912205,0.000502191,0.0001923976,0.0004647816,0.5847843,0.000001340333,0.000116104,0.001511701,0.0003217937,0.0205929],"study_design_scores_gemma":[0.0009577514,0.001084126,0.5384783,0.0002803039,0.00004525283,0.000001239688,0.4573997,0.000005861934,0.0002458684,0.0002466868,0.001141263,0.0001135938],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963759,0.0002212612,0.000007275843,0.0002435774,0.0004221854,0.001565365,0.000003496021,0.0002536654,0.0009072345],"genre_scores_gemma":[0.999303,0.000003473057,0.00002254855,0.00005140936,0.00006301552,0.0001349242,0.00004922405,0.00001726974,0.0003550759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472578,"threshold_uncertainty_score":0.4280775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109506777548874,"score_gpt":0.4835314173724349,"score_spread":0.3740246398235608,"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."}}