{"id":"W2771570617","doi":"10.1097/01.nep.0000000000000235","title":"Engaging Nursing Students: Integrating Evidence-Based Inquiry, Informatics, and Clinical Practice","year":2017,"lang":"en","type":"article","venue":"Nursing Education Perspectives","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Medical education; Evidence-based nursing; Health informatics; MEDLINE; Nursing practice; Nursing; Clinical Practice; Informatics; Medicine; Evidence-based practice; Psychology; Alternative medicine; Engineering; Public health; Chemistry","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":[0.02710269,0.0008379099,0.0006259859,0.002544237,0.002920838,0.01515074,0.002404629,0.003471395,0.001814488],"category_scores_gemma":[0.04091743,0.0005456247,0.0007419731,0.001104454,0.01032308,0.0100323,0.01874802,0.005458066,0.0005500289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335014,"about_ca_system_score_gemma":0.009882809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004529542,"about_ca_topic_score_gemma":0.001861196,"domain_scores_codex":[0.968688,0.02538128,0.0008765577,0.000695323,0.003051952,0.001306968],"domain_scores_gemma":[0.9500206,0.04160798,0.001603877,0.00178364,0.001121304,0.003862555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007911574,0.001671572,0.007844278,0.001280053,0.00007709841,0.0007440851,0.2138838,0.0005419343,0.002619864,0.05581825,0.00750905,0.7079309],"study_design_scores_gemma":[0.0002643001,0.002539065,0.01152158,0.007524299,0.0001775994,0.00480268,0.3009843,0.003231199,0.005256265,0.3364642,0.3270148,0.0002197848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3156242,0.02420505,0.3635178,0.1282245,0.00273085,0.001809407,0.00004953124,0.001087669,0.162751],"genre_scores_gemma":[0.6954288,0.01088395,0.2727232,0.00946828,0.0007505596,0.001561574,0.00004405671,0.0001153534,0.009024096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02710269,"threshold_uncertainty_score":0.1433344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3649346847274437,"score_gpt":0.6709270406349841,"score_spread":0.3059923559075404,"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."}}