{"id":"W2796312189","doi":"10.1145/3173574.3174234","title":"Combating Attrition in Digital Self-Improvement Programs using Avatar Customization","year":2018,"lang":"en","type":"article","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attrition; Personalization; Avatar; Computer science; Login; Psychological intervention; Multimedia; Psychology; Human–computer interaction; Computer security; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005526725,0.0003549463,0.000351784,0.0003930068,0.000515386,0.0008862595,0.0008245199,0.0005848701,0.004359788],"category_scores_gemma":[0.01530302,0.0001520971,0.0005541825,0.0002182208,0.0004905153,0.0009296219,0.001646703,0.0008203861,0.0006285099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738532,"about_ca_system_score_gemma":0.0005418334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003355602,"about_ca_topic_score_gemma":0.0007421019,"domain_scores_codex":[0.9968736,0.002021294,0.0001545576,0.0002360447,0.0004534757,0.0002609086],"domain_scores_gemma":[0.9946064,0.003380603,0.0006108548,0.0005981848,0.0003969912,0.0004070157],"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":[0.003130344,0.01117224,0.05972316,0.001511515,0.0001419707,0.0002542766,0.01238559,0.001523791,0.0284647,0.002119061,0.002551658,0.8770217],"study_design_scores_gemma":[0.004230442,0.08028349,0.4746749,0.003967237,0.001785565,0.003038782,0.04074766,0.05188389,0.1817534,0.0241021,0.132976,0.0005565952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635607,0.0003052101,0.02886718,0.0008522808,0.00007379664,0.0006914491,0.00006839264,0.0003855656,0.005195633],"genre_scores_gemma":[0.9705561,0.0002292516,0.02540306,0.0003639573,0.00003752791,0.001137163,0.00009763284,0.00005850765,0.002116871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005526725,"threshold_uncertainty_score":0.02922845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06162288703764739,"score_gpt":0.3859765405648638,"score_spread":0.3243536535272164,"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."}}