{"id":"W4366763133","doi":"10.1145/3587281.3587959","title":"Amaze3D: Making 3D Worlds Accessible to Blind Gamers","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Multimedia; Human–computer interaction; Mathematics education; Psychology","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":[0.0006983152,0.001440083,0.0004113112,0.0008974141,0.0006213049,0.001802108,0.001480496,0.001051588,0.02956225],"category_scores_gemma":[0.00354572,0.0006156907,0.001233066,0.0002923267,0.0007521266,0.002349571,0.006785994,0.001389474,0.007075933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784384,"about_ca_system_score_gemma":0.0005334177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399325,"about_ca_topic_score_gemma":0.004981482,"domain_scores_codex":[0.9994376,0.00008234353,0.0000267566,0.00005605336,0.0003083194,0.00008875322],"domain_scores_gemma":[0.9991384,0.0002566529,0.00003017839,0.0001510442,0.000172906,0.0002508903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001688882,0.0006498088,0.003141467,0.001651937,0.0002232453,0.001697748,0.003739092,0.005546561,0.09475265,0.02463755,0.3416597,0.5206114],"study_design_scores_gemma":[0.0005282345,0.0006247471,0.005433996,0.000357609,0.0001569785,0.001768668,0.0005992498,0.0224515,0.04785381,0.01385841,0.9061098,0.0002570053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05382648,0.002779615,0.6517296,0.001360615,0.001701349,0.001497996,0.007405891,0.1669899,0.1127086],"genre_scores_gemma":[0.3440439,0.004791188,0.4308996,0.00160508,0.0003674444,0.002492805,0.01979957,0.03145604,0.1645444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02956225,"threshold_uncertainty_score":0.09889561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0877832710112588,"score_gpt":0.4223766533066332,"score_spread":0.3345933822953744,"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."}}