{"id":"W3087994124","doi":"10.1177/2327857920091056","title":"Cost vs. Benefit: What does NVivo Video Analysis of EMR Simulations Add to Our Understanding of User Experience?","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario; Carleton University","funders":"","keywords":"Workflow; Computer science; Context (archaeology); Coding (social sciences); Data collection; Data science; Sample (material); Knowledge management; Software; Database","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2231387,0.001075588,0.001725062,0.00527501,0.002836573,0.01702174,0.002735427,0.002640442,0.006872869],"category_scores_gemma":[0.4856108,0.001208242,0.001877245,0.003673435,0.009073673,0.02354362,0.007050927,0.004760131,0.0008027409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00994388,"about_ca_system_score_gemma":0.00881447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005465798,"about_ca_topic_score_gemma":0.008558525,"domain_scores_codex":[0.7607546,0.1882309,0.01079682,0.003489338,0.03267818,0.004050246],"domain_scores_gemma":[0.4198838,0.5216352,0.01390683,0.0105179,0.03154127,0.002515044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002734365,0.0006162098,0.04823553,0.01438774,0.0008851101,0.0004436721,0.1174773,0.003151105,0.003400543,0.08282107,0.01443452,0.7114129],"study_design_scores_gemma":[0.001094953,0.006094665,0.09875128,0.06218236,0.002698963,0.002380311,0.3071465,0.04733651,0.01324496,0.2570497,0.2006893,0.001330532],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4527387,0.0205137,0.2327898,0.1833169,0.002941494,0.00616446,0.00233284,0.0009474236,0.09825473],"genre_scores_gemma":[0.9019089,0.003375546,0.08490431,0.004769796,0.000325648,0.003101352,0.0002183384,0.0003617778,0.001034353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231387,"threshold_uncertainty_score":0.9580083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3466703740822136,"score_gpt":0.5304803187836644,"score_spread":0.1838099447014508,"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."}}