{"id":"W2767569149","doi":"10.5430/jha.v6n6p28","title":"The impact of mobile technologies on new graduate nurses’ perceived self-efficacy and clinical decision making: A report from a longitudinal study in Western Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Clinical decision making; Test (biology); Health care; Mobile technology; Information and Communications Technology; Point of care; Longitudinal study; Psychology; Medical education; Clinical Practice; Applied psychology; Medicine; Mobile device; Knowledge management; Nursing; Computer science; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002476492,0.0001992487,0.0004027199,0.0009083045,0.00280372,0.001996503,0.0006200785,0.0004818013,0.001024545],"category_scores_gemma":[0.008485034,0.0002546575,0.0005377852,0.001095226,0.0009352637,0.0006602259,0.0009703716,0.001145884,0.00021203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00993776,"about_ca_system_score_gemma":0.01646246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9010142,"about_ca_topic_score_gemma":0.9447775,"domain_scores_codex":[0.9986724,0.0001959025,0.00008401214,0.0001037574,0.0005879875,0.0003560004],"domain_scores_gemma":[0.9926603,0.001369033,0.0009135666,0.0002529223,0.003168735,0.001635379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006098294,0.0003230449,0.9696932,0.00002407412,0.000024997,0.0001199796,0.020592,0.0000385063,0.0001732096,0.00004263024,0.0003113164,0.008595971],"study_design_scores_gemma":[0.0000063044,0.000115868,0.9792635,0.00003210129,0.00001879787,0.00003884842,0.01950167,0.00017126,0.00008978797,0.00001444598,0.0007312284,0.00001624022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992717,0.00006785672,0.00003210286,0.0001159048,0.000003550856,0.00002193371,0.00007230134,0.000001583936,0.0004131622],"genre_scores_gemma":[0.9987125,0.0001891725,0.0001172689,0.00007293605,0.000003343199,0.00002903631,0.0001306705,0.000002157503,0.0007428181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09898579,"threshold_uncertainty_score":0.1991374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08888206486568473,"score_gpt":0.5107481113070002,"score_spread":0.4218660464413154,"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."}}