{"id":"W2797034387","doi":"10.2196/mhealth.9055","title":"How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mediation; Eye tracking; Psychology; Tracking (education); Outcome (game theory); Digital health; Presentation (obstetrics); Computer science; Applied psychology; Artificial intelligence; Health care; Medicine","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":[0.005749281,0.001072167,0.00122457,0.0004791673,0.00103369,0.001606658,0.0008931962,0.001636332,0.009775472],"category_scores_gemma":[0.01198146,0.0008622696,0.0009194306,0.0002874662,0.001317788,0.001209467,0.001264713,0.001923135,0.001173748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006659247,"about_ca_system_score_gemma":0.001158439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557595,"about_ca_topic_score_gemma":0.0006923091,"domain_scores_codex":[0.9957398,0.001926898,0.0004423861,0.0008296948,0.0005003755,0.0005609249],"domain_scores_gemma":[0.985527,0.009918138,0.002001395,0.001159215,0.0005714642,0.0008228878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3500724,0.4319964,0.04471465,0.001676981,0.0007994818,0.0004664083,0.01171235,0.00243304,0.0798617,0.001449755,0.001755655,0.07306117],"study_design_scores_gemma":[0.06352219,0.7738012,0.1198914,0.0001287101,0.0009900695,0.0001333307,0.002367128,0.00855809,0.02344581,0.001776715,0.005176119,0.0002092597],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939687,0.00001790378,0.0007555374,0.00003962261,0.000046077,0.004450106,0.0001388441,0.00003188071,0.0005512831],"genre_scores_gemma":[0.9491835,0.00004878997,0.008789016,0.0002590644,0.0000807516,0.03839777,0.0001974988,0.00002429456,0.00301927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009775472,"threshold_uncertainty_score":0.03270215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438331662273462,"score_gpt":0.4756273976800763,"score_spread":0.3317942314527301,"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."}}