{"id":"W4361989893","doi":"10.2196/43940","title":"Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System With Personalized Goal Setting and Feedback to Increase Step Count Among Workers With High Blood Pressure: Before-and-After Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tokyo; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Goal setting; Self-management; Blood pressure; Extant taxon; Self-monitoring; Medicine; Physical therapy; Self-efficacy; Intervention (counseling); Psychology; Computer science; Nursing; Social psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001466993,0.0003628185,0.0007871622,0.0002244666,0.0007015969,0.00002795553,0.0001398652,0.0001605627,0.000008127871],"category_scores_gemma":[0.00002556166,0.0002766564,0.00004927927,0.0005440639,0.0001688407,0.00009406948,0.000259454,0.0004008691,0.00000754849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346364,"about_ca_system_score_gemma":0.0003657305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281588,"about_ca_topic_score_gemma":0.001176055,"domain_scores_codex":[0.9963016,0.0008191855,0.0006746975,0.0008858535,0.0005813811,0.0007372759],"domain_scores_gemma":[0.9975448,0.0004767413,0.0002994826,0.000698172,0.0002410082,0.0007397961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005661298,0.0003582439,0.9701744,0.009294282,0.000449159,0.0000558939,0.01234049,0.00006106931,0.000001697368,0.00004097198,0.0003399986,0.001222515],"study_design_scores_gemma":[0.01081647,0.001316224,0.9650442,0.001547742,0.001021419,0.000009856543,0.01904714,0.0003532009,7.600959e-7,0.000001217044,0.0005960223,0.0002457388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777915,0.0002450124,0.00008163955,0.0002442878,0.00006476324,0.02102838,0.000130027,0.000305963,0.0001084271],"genre_scores_gemma":[0.9725379,0.00002308061,0.0009611618,0.0001826932,0.0000835712,0.02584316,0.00003714246,0.00006797441,0.0002633194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00774654,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578872085952999,"score_gpt":0.3097061040374233,"score_spread":0.2939173831778933,"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."}}