{"id":"W4400448734","doi":"10.1109/tem.2024.3425438","title":"Physician Satisfaction With Clinical Decision Support Systems: Impact of Technology Identity and Computer Self-Efficacy","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Identity (music); Self-efficacy; Decision support system; Knowledge management; Psychology; Computer science; Artificial intelligence; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006696691,0.0001801699,0.000297899,0.001261576,0.00006760481,0.0001466889,0.0002412644,0.000146203,0.00002996947],"category_scores_gemma":[0.000005801007,0.0001335726,0.0001532533,0.001286225,0.000063666,0.0003547934,0.000008582107,0.0003240564,0.00008000636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009137104,"about_ca_system_score_gemma":0.00002014535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000160215,"about_ca_topic_score_gemma":0.00001050208,"domain_scores_codex":[0.9982566,0.00002861392,0.0005584922,0.0004698471,0.0005023861,0.0001840235],"domain_scores_gemma":[0.9990872,0.00021476,0.00007870232,0.0004784946,0.00007519427,0.00006561112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006815894,0.0005032985,0.005424641,0.00008932356,0.0006277455,0.00009545415,0.00009141339,0.2631447,0.00007580861,0.004685871,0.0005974502,0.7245961],"study_design_scores_gemma":[0.001641114,0.00164541,0.6831679,0.0004983975,0.0004117978,0.0001100143,0.0002375003,0.3081125,0.0001846967,0.0004301853,0.0030284,0.0005321167],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4270854,0.00002823831,0.5715789,0.00003863199,0.0006655969,0.000188477,0.000008232761,0.0003875871,0.00001888224],"genre_scores_gemma":[0.9907774,0.00009727004,0.008975076,0.000009298411,0.00002395561,0.00002322941,5.681116e-7,0.00001968836,0.00007354205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7240641,"threshold_uncertainty_score":0.5446932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712019000879814,"score_gpt":0.362744340293589,"score_spread":0.3256241502847909,"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."}}