{"id":"W3117560101","doi":"10.2196/23809","title":"Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Mental Health; National Institutes of Health","keywords":"Helpfulness; Binge eating; Intervention (counseling); Psychology; Obesity; Behavior change; Applied psychology; Clinical psychology; Medicine; Social psychology; Eating disorders; Psychiatry","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":[0.1150379,0.001448013,0.001320026,0.005106723,0.002044017,0.004309882,0.002637271,0.001283941,0.006308826],"category_scores_gemma":[0.120428,0.001234692,0.003745054,0.00336916,0.001747299,0.001926821,0.003301689,0.001356087,0.0007063639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004210367,"about_ca_system_score_gemma":0.008174263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031987,"about_ca_topic_score_gemma":0.005501533,"domain_scores_codex":[0.8896546,0.09425846,0.004869556,0.003345103,0.006809298,0.001063001],"domain_scores_gemma":[0.8564825,0.1146903,0.006888155,0.00978531,0.01137949,0.0007742305],"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":[0.002204553,0.003430332,0.03660811,0.01242293,0.003133068,0.0002386077,0.05794792,0.005118578,0.006947618,0.02706589,0.0036706,0.8412118],"study_design_scores_gemma":[0.009826853,0.05275376,0.1580774,0.03156643,0.01313903,0.001168519,0.1161993,0.1440431,0.08203719,0.1518677,0.2373726,0.001948175],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1655619,0.003112706,0.7565324,0.001237982,0.0002073032,0.06355508,0.001496976,0.0007598228,0.007535846],"genre_scores_gemma":[0.1902647,0.0007716335,0.7294364,0.0006259961,0.00004595428,0.07714169,0.000306766,0.0001308592,0.001275926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1150379,"threshold_uncertainty_score":0.6083857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3597266748380556,"score_gpt":0.6261592786762936,"score_spread":0.266432603838238,"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."}}