{"id":"W4387648696","doi":"10.2196/50872","title":"Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Weight loss; Psychological intervention; Likert scale; Thematic analysis; Intervention (counseling); Qualitative research; Overweight; Psychology; Behavior change; Interactivity; Weight management; Applied psychology; Medicine; Computer science; Multimedia; Obesity; Social psychology; Nursing; Developmental 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":[0.01516236,0.0005411978,0.0008347653,0.001248624,0.005928472,0.002297804,0.001578704,0.001339552,0.004445053],"category_scores_gemma":[0.02215794,0.0005360398,0.0005798941,0.001646355,0.004111684,0.00250504,0.003950055,0.002087527,0.0004752866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004683125,"about_ca_system_score_gemma":0.006295561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006381671,"about_ca_topic_score_gemma":0.01135797,"domain_scores_codex":[0.9901154,0.007732093,0.0002838718,0.0004793506,0.0006462454,0.000743139],"domain_scores_gemma":[0.9735067,0.02175817,0.001515008,0.0003980268,0.001537657,0.001284336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001154057,0.0001508469,0.002492079,0.0009390728,0.00001286893,0.001025663,0.9816836,0.00004879599,0.0008980148,0.001065996,0.001264399,0.01030325],"study_design_scores_gemma":[0.00002941158,0.0001876492,0.002809694,0.001276956,0.00001932598,0.0003500638,0.9792163,0.0001812422,0.0005599691,0.0006343121,0.01471306,0.00002204812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757649,0.002833965,0.006187854,0.003784553,0.00018177,0.001727035,0.0008811207,0.00004112727,0.0085976],"genre_scores_gemma":[0.9828551,0.002273761,0.005052226,0.002160382,0.00005446658,0.002750536,0.0002934839,0.0000560593,0.004504052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516236,"threshold_uncertainty_score":0.0801872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2787451208435243,"score_gpt":0.6404994442894734,"score_spread":0.361754323445949,"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."}}