{"id":"W3010401293","doi":"10.1145/3386402.3386403","title":"Overview of ASSETS 2018","year":2020,"lang":"en","type":"article","venue":"ACM SIGACCESS Accessibility and Computing","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of British Columbia","funders":"","keywords":"Mainstream; Assistive technology; Computer science; World Wide Web; Knowledge management; Political science; Human–computer interaction","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":[0.001370402,0.0002207462,0.0005119944,0.00005174816,0.000487524,0.0005003953,0.001625695,0.0001374808,0.0002285207],"category_scores_gemma":[0.004919225,0.0002122344,0.0001509014,0.0007661825,0.001032455,0.001893554,0.001351514,0.0002178997,0.00001055819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005619023,"about_ca_system_score_gemma":0.0002009579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165646,"about_ca_topic_score_gemma":0.00038503,"domain_scores_codex":[0.9971663,0.0003136864,0.0007610735,0.0006943177,0.0006043122,0.0004602972],"domain_scores_gemma":[0.9975075,0.001036063,0.000361273,0.0005413504,0.0002153283,0.0003384975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006155838,0.0002341284,0.7953398,0.001097956,0.00004935652,0.000002688725,0.01771165,0.00001180728,0.00009986524,0.02193879,0.0003668658,0.1630856],"study_design_scores_gemma":[0.001422075,0.0003364157,0.7545375,0.0005314718,0.0001230638,0.000001803172,0.0246578,0.001465563,0.002528528,0.2059075,0.00715073,0.001337578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769526,0.001256026,0.000295073,0.003131798,0.0001769162,0.0003720398,0.00001980227,0.0001877509,0.01760805],"genre_scores_gemma":[0.9982296,0.00009427719,0.0007532893,0.0006235947,0.000234862,0.000004701337,0.000005721442,0.00001545038,0.00003853269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839687,"threshold_uncertainty_score":0.8654668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627697173961048,"score_gpt":0.3978333846183601,"score_spread":0.2350636672222553,"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."}}