{"id":"W4226343067","doi":"10.2196/37372","title":"Combining Persuasive System Design Principles and Behavior Change Techniques in Digital Interventions Supporting Long-term Weight Loss Maintenance: Design and Development of eCHANGE","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sykehuset i Vestfold; University of Twente","keywords":"Term (time); Psychological intervention; Computer science; Persuasive technology; Process management; Risk analysis (engineering); Reliability engineering; Psychology; Engineering; Business; Social psychology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006162229,0.0002209406,0.0002914222,0.0007954892,0.0004277456,0.0001134007,0.0004600608,0.00008143758,0.00001646821],"category_scores_gemma":[0.00002346178,0.0002219462,0.00004616023,0.0003336491,0.0001368288,0.0007906642,0.0008705759,0.0003485482,8.520855e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004485901,"about_ca_system_score_gemma":0.0000455035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007097507,"about_ca_topic_score_gemma":0.00001214648,"domain_scores_codex":[0.9982456,0.0001092057,0.0006261785,0.00044754,0.0002475078,0.0003240007],"domain_scores_gemma":[0.9989738,0.00007954881,0.0005414052,0.0002412021,0.0001226194,0.0000414069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006532626,0.001352944,0.7972286,0.001096383,0.0001522152,0.0005406516,0.1040133,0.000004998613,0.01289561,0.04092175,0.00003468714,0.04169355],"study_design_scores_gemma":[0.001643476,0.002184343,0.8438551,0.002124488,0.00004427582,0.0004303339,0.01580444,0.0009287113,0.1311127,0.0004563908,0.0001170078,0.001298743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8629687,0.00002736895,0.1351784,0.00001470723,0.0001028288,0.001461103,0.000007894383,0.0002125226,0.00002641461],"genre_scores_gemma":[0.9898319,0.000001527311,0.008039953,0.000007846356,0.000009888304,0.002030593,0.00002011262,0.00001940391,0.00003875091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271385,"threshold_uncertainty_score":0.9050705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262050182489036,"score_gpt":0.3431906006078399,"score_spread":0.2169855823589363,"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."}}