{"id":"W4210955341","doi":"10.32920/ryerson.14655810","title":"Why my Avatar looks like me: a study of identity in Dungeons & Dragons","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Character (mathematics); Avatar; Narrative; Identity (music); Connection (principal bundle); Psychology; Relation (database); Ethnography; Personalization; Visual arts; Communication; Art; Aesthetics; Computer science; Sociology; Literature; World Wide Web; Engineering","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":[0.003003855,0.0006617784,0.000577048,0.001370821,0.0121799,0.007168128,0.001512865,0.00148693,0.003761842],"category_scores_gemma":[0.007119029,0.0005609307,0.0002454165,0.0006474819,0.008464199,0.003049379,0.004435195,0.002970863,0.0004480078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805555,"about_ca_system_score_gemma":0.001268758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973035,"about_ca_topic_score_gemma":0.04810337,"domain_scores_codex":[0.9971709,0.001862764,0.00005437699,0.0002845205,0.0002885607,0.0003390922],"domain_scores_gemma":[0.9959298,0.002263933,0.0004105026,0.0001461114,0.0002749404,0.0009746713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002246067,0.0000872173,0.003467884,0.00002414359,0.000002108694,0.0003687783,0.9928892,0.000006767303,0.0006163345,0.000497748,0.0001216793,0.001895622],"study_design_scores_gemma":[0.000003031807,0.00006501636,0.006408932,0.00002514822,0.000002682098,0.0001743822,0.9892309,0.00002921518,0.0001965803,0.0001400212,0.00371499,0.000009199664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957776,0.00007558113,0.0002233902,0.0001906329,0.00001561669,0.00002567857,0.000006544954,0.000004029254,0.003680833],"genre_scores_gemma":[0.9953228,0.0001003564,0.0002670275,0.0001212819,0.0000056524,0.00003141934,0.00001038951,0.000009824924,0.004131175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973035,"threshold_uncertainty_score":0.039231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117883407813112,"score_gpt":0.3474942105252573,"score_spread":0.3063153764471261,"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."}}