{"id":"W3046159772","doi":"10.2196/21183","title":"Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; National Institutes of Health; Robert Wood Johnson Foundation","keywords":"Thematic analysis; Self-monitoring; Overweight; Intervention (counseling); Medicine; Randomized controlled trial; Gerontology; Qualitative research; Psychology; Clinical psychology; Obesity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01214794,0.0004227813,0.0005955222,0.001286957,0.004407708,0.002017039,0.001133759,0.0008064074,0.002502816],"category_scores_gemma":[0.01310621,0.0004779878,0.000529311,0.001692825,0.002665289,0.0018985,0.00334975,0.001190181,0.0002602827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003522113,"about_ca_system_score_gemma":0.004143647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007511363,"about_ca_topic_score_gemma":0.01138488,"domain_scores_codex":[0.9942566,0.004143346,0.0002288451,0.0003343061,0.0003985698,0.0006383788],"domain_scores_gemma":[0.9851607,0.01106728,0.001216272,0.0003385551,0.001353361,0.000863743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000100841,0.0001884004,0.01163645,0.0005358356,0.0000146075,0.0007488325,0.9714002,0.00005348652,0.001403011,0.0007228581,0.0006010008,0.01259442],"study_design_scores_gemma":[0.00001634764,0.0001551279,0.007382543,0.0005191878,0.00001459328,0.0003565482,0.983257,0.0001655471,0.0006635177,0.0002518455,0.007199137,0.00001855802],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894279,0.000866902,0.003963346,0.001072389,0.00004799467,0.0008311449,0.0005415769,0.00001469265,0.003234056],"genre_scores_gemma":[0.9904812,0.001489573,0.003353914,0.0006592186,0.00002267747,0.001438722,0.0002230036,0.00001734013,0.002314419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214794,"threshold_uncertainty_score":0.06424528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0592304330114397,"score_gpt":0.4685316486382462,"score_spread":0.4093012156268065,"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."}}