{"id":"W3138438725","doi":"10.31372/20200504.1110","title":"Feasibility of Using Mobile Technology to Improve Physical Activity Among People Living with Diabetes in Asia","year":2021,"lang":"en","type":"article","venue":"Asian/Pacific Island Nursing Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gerontology; Quality of life (healthcare); Diabetes mellitus; Wearable technology; Multivariate analysis; Physical therapy; Family medicine; Wearable computer; Nursing; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002710085,0.0002646148,0.0002436063,0.0004512171,0.0003317948,0.0008090814,0.0003816568,0.0003643795,0.002137226],"category_scores_gemma":[0.00658906,0.0001694201,0.0005345976,0.0004339814,0.000222463,0.0006183856,0.0009852618,0.0004208305,0.0003077803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998995,"about_ca_system_score_gemma":0.0006777111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368707,"about_ca_topic_score_gemma":0.003917061,"domain_scores_codex":[0.9990308,0.0004931669,0.0001200137,0.00007228956,0.0001751585,0.0001085288],"domain_scores_gemma":[0.9971579,0.001230015,0.0006199715,0.0001330965,0.0005121108,0.0003468067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005349302,0.001004898,0.8956499,0.0006554204,0.0001270922,0.0002233793,0.005215557,0.00008622107,0.001044651,0.00004125774,0.0005031097,0.09491347],"study_design_scores_gemma":[0.00007916468,0.002928958,0.9839549,0.0003636403,0.0002013228,0.0002451205,0.009307043,0.0005117712,0.0003594217,0.00005546354,0.001973196,0.00002009247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954609,0.0004259888,0.0002212916,0.0003524334,0.00001782045,0.0001520049,0.000201107,0.00001011945,0.003158315],"genre_scores_gemma":[0.9978441,0.000667017,0.0006976864,0.0001577055,0.00001353256,0.0001497261,0.0001161047,0.000002314044,0.0003518196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003368707,"threshold_uncertainty_score":0.01433247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081204931909567,"score_gpt":0.3865039503566041,"score_spread":0.3656919010375084,"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."}}