{"id":"W1817783832","doi":"","title":"Effects of a computerized cardiac teletriage decision support system on nurse performance: results of a controlled human factors experiment using a mid-fidelity prototype.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Decision support system; Bridge (graph theory); Quality (philosophy); Interface (matter); Computer science; Fidelity; Process (computing); Nursing; Human–computer interaction; Medicine; Psychology; Process management; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005626118,0.0006937145,0.000568034,0.0003068352,0.0004695352,0.0008177941,0.0009420114,0.00084827,0.002392201],"category_scores_gemma":[0.02625399,0.000743918,0.000494051,0.0001874407,0.0005930485,0.0008404324,0.0007833694,0.0006959219,0.0003772445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827337,"about_ca_system_score_gemma":0.0006803896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594827,"about_ca_topic_score_gemma":0.001687808,"domain_scores_codex":[0.9964287,0.001903248,0.0003977133,0.0004642964,0.000502879,0.000303181],"domain_scores_gemma":[0.9695714,0.02458706,0.001417422,0.001135029,0.002050891,0.001238268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1195096,0.254149,0.04899678,0.004020126,0.000883337,0.0005059221,0.02861172,0.009837671,0.2227639,0.0003897659,0.002093792,0.3082384],"study_design_scores_gemma":[0.01084074,0.757801,0.1557833,0.0002182442,0.000779822,0.0002085238,0.002389143,0.01752333,0.05174037,0.000221235,0.00222479,0.0002695365],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974906,0.00002727398,0.00152694,0.00002324792,0.00001939874,0.0005802643,0.00005307118,0.00003955472,0.0002396932],"genre_scores_gemma":[0.9820373,0.00008936119,0.01505265,0.00006424358,0.00003254998,0.001591504,0.0001573196,0.00002613811,0.0009489516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005626118,"threshold_uncertainty_score":0.0297541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05414512516582713,"score_gpt":0.3924906040131426,"score_spread":0.3383454788473154,"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."}}