{"id":"W3036620451","doi":"10.3233/shti200312","title":"Investigating the Barriers to Physician Adoption of an Artificial Intelligence- Based Decision Support System in Emergency Care: An Interpretative Qualitative Study","year":2020,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Workflow; Health care; Knowledge management; Context (archaeology); GRASP; Decision support system; Clinical decision support system; Process management; Computer science; Psychology; Artificial intelligence; Business; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469927,0.0001603545,0.0004957858,0.0004805285,0.0002434095,0.000006378078,0.0001561331,0.0001119183,0.000003353625],"category_scores_gemma":[0.002218431,0.0001243051,0.00002353953,0.001544885,0.000327652,0.0002300657,0.00007670146,0.0004340743,0.00000451962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363312,"about_ca_system_score_gemma":0.0004093819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685344,"about_ca_topic_score_gemma":0.0009483181,"domain_scores_codex":[0.9972133,0.0002634985,0.001827703,0.0001970633,0.0002167672,0.0002816475],"domain_scores_gemma":[0.9985434,0.0002403924,0.0004121785,0.0002438489,0.0003523196,0.0002079003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000134971,0.00007461016,0.006786053,0.001074279,0.00001531205,0.000001255343,0.8514549,0.0004695244,0.000005948667,0.002245818,0.00001482988,0.1377226],"study_design_scores_gemma":[0.00005595311,0.004379945,0.0004247506,0.0005153693,0.0000124925,0.000001306061,0.9716496,0.01989995,0.0005266555,0.002423745,0.00001729756,0.00009290987],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900126,0.0003197283,0.003328726,0.004334879,0.000275741,0.001624535,0.000008424678,0.00005362154,0.00004172218],"genre_scores_gemma":[0.9928381,0.0001014662,0.005292226,0.001554459,0.00003828263,0.0001537779,0.00001233749,0.000009014834,3.039515e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1376296,"threshold_uncertainty_score":0.5069013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974765307705576,"score_gpt":0.500128356045914,"score_spread":0.3026518252753564,"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."}}