{"id":"W2159201391","doi":"10.1177/1054773803258998","title":"Patient and Nurse-Related Implications of Remote Cardiac Telemetry","year":2003,"lang":"en","type":"article","venue":"Clinical Nursing Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Telemetry; Nursing; Medicine; Medical emergency; Psychology; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001795863,0.0001703946,0.0002579046,0.0004247453,0.001162355,0.001012203,0.000397475,0.0007710452,0.003588632],"category_scores_gemma":[0.02485558,0.0001634338,0.0002277919,0.0004773729,0.0005164066,0.000681833,0.0007702333,0.001010693,0.0002631533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968184,"about_ca_system_score_gemma":0.001028781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178669,"about_ca_topic_score_gemma":0.005490652,"domain_scores_codex":[0.9965988,0.001680288,0.0003106926,0.0001836828,0.0009420694,0.0002844997],"domain_scores_gemma":[0.9849513,0.00723546,0.004956482,0.0003468853,0.001281902,0.001228072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005246059,0.0007796526,0.9499255,0.0001495071,0.00004378815,0.004340014,0.003521008,0.000401494,0.001007643,0.0001720757,0.001503886,0.03763075],"study_design_scores_gemma":[0.00005709637,0.002201541,0.9659548,0.0001380498,0.00005025463,0.01115186,0.01378864,0.001870741,0.0008174261,0.0004607141,0.003454248,0.00005463617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939113,0.0004569401,0.0003351738,0.002138628,0.00006052131,0.00003852961,0.00007555236,0.00001097055,0.002972339],"genre_scores_gemma":[0.9989091,0.0001791771,0.0001688556,0.0004671117,0.00006719808,0.00001232631,0.00003018471,0.000002571587,0.0001635579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003588632,"threshold_uncertainty_score":0.01200521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07710272249322371,"score_gpt":0.4208233211880491,"score_spread":0.3437205986948254,"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."}}