{"id":"W4210279357","doi":"10.2196/preprints.22598","title":"Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"eHealth; Psychological intervention; Focus group; Weight loss; Behavior change; Process management; Computer science; Applied psychology; Knowledge management; Psychology; Medicine; Obesity; Engineering; Nursing; Social psychology; Health care; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01980285,0.0004933089,0.0005320337,0.001108801,0.003705367,0.002755203,0.001381481,0.001343191,0.002632866],"category_scores_gemma":[0.02225775,0.0005377029,0.000579828,0.0009577656,0.004220136,0.002968567,0.002856127,0.001619826,0.0004258038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311737,"about_ca_system_score_gemma":0.004912848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689288,"about_ca_topic_score_gemma":0.003939041,"domain_scores_codex":[0.9900031,0.008012401,0.0003598562,0.0003763218,0.0007294232,0.0005189297],"domain_scores_gemma":[0.9735459,0.02305153,0.0009855323,0.0004545832,0.001372939,0.0005895111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000385526,0.0001624701,0.002812758,0.0007699038,0.000007823312,0.0004729306,0.9757693,0.00006043459,0.001673818,0.001583263,0.0007340335,0.01591481],"study_design_scores_gemma":[0.00003909998,0.0002607239,0.004637065,0.001107646,0.00002553453,0.0004925838,0.9670126,0.0003542967,0.002282313,0.001026232,0.02272053,0.00004134676],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552265,0.001429164,0.02608862,0.003368066,0.0001315467,0.002987948,0.0003113112,0.00009286943,0.010364],"genre_scores_gemma":[0.9719339,0.001220695,0.01798447,0.001119717,0.00002589287,0.002829732,0.00009304962,0.00005157453,0.004741052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980285,"threshold_uncertainty_score":0.1047288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3287091484193241,"score_gpt":0.5545915864633053,"score_spread":0.2258824380439812,"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."}}