{"id":"W2074934549","doi":"10.1097/cin.0000000000000135","title":"Accessing Best Practice Resources Using Mobile Technology in an Undergraduate Nursing Program","year":2015,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Registered Nurses' Association of Ontario","keywords":"Graduation (instrument); Mobile device; Mobile technology; Medical education; Perception; Affect (linguistics); Psychology; Nursing practice; Theory of planned behavior; Control (management); Nursing; Baseline (sea); Medicine; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001583716,0.0003222802,0.0005183436,0.0009508115,0.001280112,0.0001192494,0.0005402896,0.0004651193,0.000004052563],"category_scores_gemma":[0.000269807,0.0003401382,0.00004397166,0.001607876,0.000328235,0.001505318,0.0001107504,0.001407148,0.00006852392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870921,"about_ca_system_score_gemma":0.001365702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013792,"about_ca_topic_score_gemma":0.00002231291,"domain_scores_codex":[0.9955497,0.0004864933,0.001820645,0.000332922,0.0004557239,0.001354528],"domain_scores_gemma":[0.9963908,0.0004862322,0.001096811,0.0007485109,0.000547545,0.0007300853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000107995,0.001029794,0.003035684,0.0004652929,0.000009287439,0.000007651482,0.03290617,0.007165478,0.00001729032,0.00264041,0.002035787,0.9505792],"study_design_scores_gemma":[0.003889763,0.001204987,0.0002930003,0.00996227,0.0001085703,0.0001838109,0.1797447,0.6479989,0.0000309166,0.009271316,0.146502,0.0008098194],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7725617,0.0009582458,0.165058,0.008405249,0.00378679,0.01096676,0.00001166396,0.001388818,0.03686274],"genre_scores_gemma":[0.584884,0.0001207352,0.4109338,0.00172544,0.000486261,0.001687352,0.00005745119,0.00007913032,0.00002577315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9497693,"threshold_uncertainty_score":0.999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0959471075048522,"score_gpt":0.4988978831200064,"score_spread":0.4029507756151542,"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."}}