{"id":"W2913321874","doi":"","title":"Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility","year":2015,"lang":"en","type":"article","venue":"Conference on Computers and Accessibility","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pleasure; Mainstream; Library science; China; Work (physics); Inclusion (mineral); Computer science; Political science; Engineering; Sociology; Psychology; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004096901,0.001444351,0.001684866,0.002170522,0.002343853,0.007919492,0.00171622,0.002013358,0.2877957],"category_scores_gemma":[0.012328,0.0005133041,0.0008826796,0.001462432,0.001046485,0.007366984,0.004961089,0.003935244,0.1911039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009768179,"about_ca_system_score_gemma":0.002752237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003306018,"about_ca_topic_score_gemma":0.004728952,"domain_scores_codex":[0.99673,0.0007652501,0.0002884697,0.0004599347,0.001431093,0.000325262],"domain_scores_gemma":[0.9886672,0.002137286,0.0003385657,0.001083853,0.005503039,0.00226996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001198348,0.0000926739,0.0009267735,0.0003546217,0.00003506077,0.0001189481,0.0002590888,0.00005202374,0.0009838492,0.001538545,0.850135,0.1453836],"study_design_scores_gemma":[0.00001202509,0.00004891181,0.0009340215,0.0002546881,0.00002159224,0.0001612106,0.00025914,0.0001627954,0.000244735,0.0008311603,0.9970506,0.00001907635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01568641,0.07028588,0.05148619,0.03878486,0.1890022,0.001764925,0.009860764,0.01253416,0.6105947],"genre_scores_gemma":[0.03507409,0.05048648,0.02171091,0.009883317,0.02487247,0.001240965,0.01664221,0.002894309,0.8371952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2877957,"threshold_uncertainty_score":0.9627725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150027417746093,"score_gpt":0.3591077902202812,"score_spread":0.2441050484456719,"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."}}