{"id":"W3045125456","doi":"10.2196/20679","title":"A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Psychological intervention; Health care; Intervention (counseling); Health equity; Digital health; Scarcity; Weight management; Medicine; mHealth; Public health; Medical education; Nursing; Gerontology; Psychology; Obesity; Political science; Weight loss","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":[0.008094244,0.0005572501,0.0003340282,0.00058467,0.003199346,0.002025302,0.001354548,0.0009355431,0.003803855],"category_scores_gemma":[0.009335632,0.0001998429,0.0004851866,0.0004002677,0.001969409,0.001844663,0.003581342,0.001532985,0.0002433927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490065,"about_ca_system_score_gemma":0.007780154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00650068,"about_ca_topic_score_gemma":0.0191975,"domain_scores_codex":[0.9973155,0.001949695,0.00008186755,0.00009962173,0.0001572802,0.0003959644],"domain_scores_gemma":[0.9963976,0.002183776,0.0001346267,0.000115509,0.0003556932,0.0008128303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003810978,0.01093268,0.01764267,0.003341051,0.00005689766,0.002923337,0.3453513,0.0002419783,0.005233258,0.003793626,0.01234707,0.5977549],"study_design_scores_gemma":[0.000752081,0.006716182,0.02955455,0.004359194,0.0001921308,0.00123376,0.8017227,0.0005864042,0.004371081,0.003241489,0.1471749,0.0000956596],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284112,0.002634348,0.004160586,0.03799371,0.000541736,0.002938716,0.0001753094,0.0001637986,0.02298048],"genre_scores_gemma":[0.9272729,0.008856824,0.0379605,0.007925294,0.0002077417,0.005636167,0.0001888226,0.00009344331,0.01185837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008094244,"threshold_uncertainty_score":0.04280692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650302744537542,"score_gpt":0.5210860080459241,"score_spread":0.3560557335921699,"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."}}