{"id":"W4415590888","doi":"10.1080/10447318.2025.2573042","title":"Becoming Your Quantified Self: A Study of the Effects of Personal Avatars in Self-Tracking Sports Apps","year":2025,"lang":"en","type":"article","venue":"International Journal of Human-Computer Interaction","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"Adidas","keywords":"Clothing; The Internet; Perspective (graphical); Avatar","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603279,0.0001381532,0.000285895,0.0006348501,0.00006683836,0.0001260756,0.001206119,0.00004962075,0.000004464942],"category_scores_gemma":[0.00006112438,0.0001109746,0.0001746431,0.0003556793,0.00002161714,0.000830708,0.0002753714,0.0003462569,6.17315e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218882,"about_ca_system_score_gemma":0.0001180477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475412,"about_ca_topic_score_gemma":0.00005310919,"domain_scores_codex":[0.9978907,0.0001409383,0.0009394856,0.0002071712,0.0006906811,0.0001310961],"domain_scores_gemma":[0.99782,0.0002930928,0.00100798,0.0002605786,0.0005824875,0.00003591186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006978902,0.03011794,0.28983,0.0008379565,0.004587637,0.0004016543,0.1981327,0.008459049,0.1015236,0.0441617,0.003140472,0.3181094],"study_design_scores_gemma":[0.005564556,0.001462983,0.8566853,0.003308258,0.0001473313,0.0003108208,0.002480471,0.07032125,0.055934,0.002632203,0.0007702155,0.0003825855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676957,0.00003394528,0.02909372,0.0003184904,0.002458765,0.000250234,0.000001112518,0.00001682552,0.0001312648],"genre_scores_gemma":[0.9979066,0.00001218018,0.001804802,0.0001103066,0.0001389768,0.000004915614,9.21284e-7,0.000006047948,0.00001521201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668553,"threshold_uncertainty_score":0.4525412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606987383569254,"score_gpt":0.3467754584946506,"score_spread":0.320705584658958,"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."}}