{"id":"W2096257308","doi":"10.5430/jnep.v3n10p99","title":"mHealth: Technology for nursing practice, education, and research","year":2013,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"mHealth; Nursing; Health care; Medicine; Nursing research; Medical education; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.005595599,0.0001286467,0.0002668493,0.0007989626,0.002651924,0.00005562893,0.0001507186,0.0002913247,0.00006523862],"category_scores_gemma":[0.01625132,0.0001194419,0.00002676905,0.0006724799,0.000238525,0.001229183,0.0000219722,0.0014201,0.00003917412],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005877294,"about_ca_system_score_gemma":0.009071466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568793,"about_ca_topic_score_gemma":0.000003021174,"domain_scores_codex":[0.9965798,0.001281832,0.0009991514,0.0002595095,0.0003232605,0.0005564052],"domain_scores_gemma":[0.9832141,0.008251922,0.001434614,0.0002864727,0.00617592,0.0006370014],"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":[0.0001791823,0.001605755,0.0002239114,0.0002450506,0.000009697786,1.053255e-7,0.00646007,1.897452e-7,0.0001046377,0.05722471,0.2486128,0.6853339],"study_design_scores_gemma":[0.0005102904,0.000336975,0.002592406,0.001367833,0.00008788225,0.0008731867,0.09655301,0.00002252908,0.00000564562,0.06559931,0.8319635,0.00008738795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02043915,0.02706061,0.004573286,0.8783571,0.005471773,0.005285195,0.000004425898,0.0000491787,0.05875927],"genre_scores_gemma":[0.5600592,0.03060327,0.3443632,0.04150277,0.007850377,0.008316871,0.00003539681,0.0001475836,0.007121327],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8368543,"threshold_uncertainty_score":0.9986465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2420173645629637,"score_gpt":0.6427240751792462,"score_spread":0.4007067106162825,"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."}}