{"id":"W3014293900","doi":"10.2196/15545","title":"A Smartphone App (mDASHNa-CC) to Support Healthy Diet and Hypertension Control for Chinese Canadian Seniors: Protocol for Design, Usability and Feasibility Testing","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Sodium Intake and Health","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation; Nipissing University","funders":"Nipissing University","keywords":"Usability; Medicine; Waist; Psychological intervention; Blood pressure; Test (biology); mHealth; Gerontology; Physical therapy; Nursing; Computer science; Internal medicine; Obesity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.005239999,0.0003457763,0.0006759454,0.0002134322,0.001155865,0.0002650851,0.0002863962,0.0002332838,0.00002340584],"category_scores_gemma":[0.007214496,0.0002866766,0.00008172027,0.0006679838,0.000245568,0.0002456875,0.0001125202,0.0005926011,0.00001316348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004950079,"about_ca_system_score_gemma":0.001374703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008077492,"about_ca_topic_score_gemma":0.01278343,"domain_scores_codex":[0.9951556,0.000794535,0.0007258275,0.001185508,0.0005469815,0.0015916],"domain_scores_gemma":[0.9937335,0.002302469,0.0001287591,0.0005276534,0.001065553,0.002242129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1812265,0.003286034,0.5853249,0.02658074,0.00004537685,0.00003403483,0.005859568,0.000009979538,0.01347967,0.0000441079,0.1265916,0.05751746],"study_design_scores_gemma":[0.1040478,0.1824294,0.362731,0.002421719,0.00002047171,0.00006727727,0.0008404164,0.01852692,0.001671379,0.004801941,0.320716,0.001725772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0164179,9.471833e-7,0.0008080319,0.02048832,0.00001335912,0.9619204,0.0001821575,0.0001253151,0.00004353983],"genre_scores_gemma":[0.06307452,2.855532e-8,0.009605567,0.003812512,0.000417085,0.9229937,0.00001087826,0.00006919741,0.00001656874],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.222594,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4794321186364958,"score_gpt":0.5564131189993665,"score_spread":0.07698100036287076,"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."}}