{"id":"W2794674254","doi":"10.1097/cin.0000000000000434","title":"Factors Associated With Canadian Nurses' Informatics Competency","year":2018,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College; University of Alberta","funders":"","keywords":"Informatics; Health informatics; Medical education; Computer literacy; Preparedness; Descriptive statistics; Health Administration Informatics; Nursing; Public health informatics; Medicine; Psychology; Knowledge management; Computer science; Health education; Engineering; Public health; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001066679,0.0004086725,0.0006554169,0.0005776499,0.002146303,0.00007219271,0.0005479222,0.0004047521,0.0001055639],"category_scores_gemma":[0.0002253053,0.0003341027,0.00006909807,0.0007986304,0.0003005672,0.0006430739,0.00004727779,0.001158914,0.0003159567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003627637,"about_ca_system_score_gemma":0.004447962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270199,"about_ca_topic_score_gemma":0.03081097,"domain_scores_codex":[0.9951212,0.0003053723,0.001885712,0.000137541,0.000581725,0.00196845],"domain_scores_gemma":[0.9959739,0.0007895316,0.001065947,0.0006009337,0.0006830407,0.0008866865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005698349,0.0002173087,0.1642185,0.001630287,0.0004419192,0.000005380678,0.6526681,0.0002700067,0.000005321696,0.009130028,0.1304798,0.04087642],"study_design_scores_gemma":[0.008802876,0.004014662,0.09133267,0.03790169,0.0003547502,0.00004022683,0.2243631,0.4781131,0.0001264622,0.001404599,0.1499274,0.00361843],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106354,0.00003727874,0.03496036,0.0005599441,0.007541863,0.002215598,0.00005375608,0.0005255258,0.1434702],"genre_scores_gemma":[0.9887312,0.000004689057,0.006899469,0.003122376,0.0005311313,0.00003127136,0.0001917269,0.00006960057,0.0004185475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4778431,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06857885462747616,"score_gpt":0.3841958469858419,"score_spread":0.3156169923583657,"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."}}