{"id":"W4294837438","doi":"10.2196/38262","title":"A Method to Deliver Automated and Tailored Intervention Content: 24-month Clinical Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Weight loss; Psychological intervention; Computer science; Intervention (counseling); Weight management; Electronic data capture; Scalability; Overweight; Software; Medicine; Multimedia; Clinical trial; Database; Nursing; Obesity","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":[0.01969872,0.002128291,0.002575385,0.002112533,0.001233791,0.00194397,0.001595182,0.004421834,0.01715082],"category_scores_gemma":[0.03377343,0.001222475,0.002346032,0.001440256,0.001132481,0.002388787,0.001690883,0.002172306,0.004049652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112729,"about_ca_system_score_gemma":0.003547083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008447438,"about_ca_topic_score_gemma":0.001205624,"domain_scores_codex":[0.9798305,0.01339096,0.00209304,0.002040973,0.001925808,0.0007187818],"domain_scores_gemma":[0.9850976,0.006856916,0.002930543,0.00223579,0.001536237,0.001342806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5419623,0.09432854,0.003454146,0.007325396,0.002691026,0.000125775,0.0007323436,0.001321625,0.003012731,0.001175756,0.0112439,0.3326265],"study_design_scores_gemma":[0.8121951,0.1704993,0.004321024,0.0005879076,0.0008733901,0.00005844879,0.00009445341,0.0009652426,0.0009718272,0.0005918085,0.008773378,0.00006807949],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.3780985,0.006603711,0.0338406,0.003860785,0.00396736,0.5474665,0.009221705,0.003057743,0.01388319],"genre_scores_gemma":[0.3000061,0.002434729,0.061408,0.002589809,0.001278054,0.6257309,0.001581671,0.0001522965,0.004818556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969872,"threshold_uncertainty_score":0.1041781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4410707532142223,"score_gpt":0.6591663300845609,"score_spread":0.2180955768703386,"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."}}