{"id":"W3186941039","doi":"10.1145/3477315.3477316","title":"Overview of ASSETS 2020","year":2021,"lang":"en","type":"article","venue":"ACM SIGACCESS Accessibility and Computing","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Attendance; Globe; Mainstream; Inclusion (mineral); Computer science; Diversity (politics); World Wide Web; Library science; Political science; Sociology; Medicine; Social science","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":[0.001524903,0.0001521596,0.0004482937,0.000043037,0.0007324535,0.00001915725,0.0008758059,0.0002547258,0.0004989661],"category_scores_gemma":[0.003289384,0.0001408341,0.00007426018,0.0005119419,0.0002510719,0.0002060102,0.003125817,0.0007531698,0.00001129543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005404545,"about_ca_system_score_gemma":0.0002829203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291476,"about_ca_topic_score_gemma":0.000181449,"domain_scores_codex":[0.9972601,0.0009313091,0.0008405994,0.000482454,0.0001769796,0.0003085592],"domain_scores_gemma":[0.9950042,0.002368075,0.000484986,0.001537517,0.0005165053,0.00008872426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001556046,0.0001306048,0.9373609,0.0005719126,0.00002879527,0.00000339586,0.000345946,8.821174e-7,0.0004797687,0.00267082,0.0003568669,0.05803455],"study_design_scores_gemma":[0.0005009651,0.00001795876,0.9845876,0.0003072871,0.00002593123,0.000002524255,0.00132159,0.0003093305,0.001166219,0.01019595,0.001422435,0.0001421799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869511,0.003587617,0.001822911,0.002198038,0.0002372072,0.000284985,0.00001244684,0.0001478269,0.004757903],"genre_scores_gemma":[0.9945889,0.0004334936,0.004027436,0.0007280087,0.00005639892,0.00001843622,0.00001899476,0.00001065288,0.0001177103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05789237,"threshold_uncertainty_score":0.5743049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798982410607976,"score_gpt":0.5035352602802587,"score_spread":0.3236370192194611,"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."}}