{"id":"W3014818729","doi":"10.5430/jnep.v10n7p26","title":"Diabetes education mobile APP prototype for Hispanic communities","year":2020,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Test (biology); Gerontology; Diabetes mellitus; Disease; Health education; Type 2 diabetes; Type 2 Diabetes Mellitus; Population; Mobile apps; Family medicine; Nursing; Environmental health; Computer science; Public health; Internal medicine; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008850815,0.000289549,0.0001815965,0.00034571,0.0002488766,0.0003901495,0.0004303839,0.0004016188,0.01105847],"category_scores_gemma":[0.002430479,0.0001112732,0.0003391393,0.0001426923,0.0000753598,0.0003816208,0.0005410812,0.00033432,0.001004186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305863,"about_ca_system_score_gemma":0.000442377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008067564,"about_ca_topic_score_gemma":0.00172627,"domain_scores_codex":[0.9998381,0.00006320528,0.00001449617,0.00001897859,0.00003993103,0.00002525427],"domain_scores_gemma":[0.9993188,0.0003410341,0.00003887729,0.00003779921,0.0001291437,0.0001343812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002573371,0.01309649,0.02588952,0.001210098,0.0000607081,0.00139602,0.002579217,0.000688548,0.03812879,0.0004604569,0.02261997,0.8912969],"study_design_scores_gemma":[0.008586466,0.06116869,0.503278,0.003163712,0.0009135953,0.009589842,0.01318664,0.031638,0.0751508,0.003719509,0.2890475,0.000557187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945278,0.0005141401,0.02504912,0.001752333,0.0002460569,0.006813668,0.001848093,0.004243771,0.01425482],"genre_scores_gemma":[0.8430061,0.001165251,0.1330155,0.0009243337,0.0001180074,0.006912461,0.001896417,0.0002044165,0.01275756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105847,"threshold_uncertainty_score":0.03699428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658768731558125,"score_gpt":0.5343581652913179,"score_spread":0.3684812921355054,"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."}}