{"id":"W2244803845","doi":"","title":"Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility","year":2008,"lang":"en","type":"article","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Promotion (chess); Computer science; Library science; Event (particle physics); World Wide Web; Political 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003032022,0.001413311,0.001584369,0.001889709,0.002019566,0.007542934,0.001518156,0.002430936,0.3073556],"category_scores_gemma":[0.00764009,0.0005540956,0.0007969365,0.00133858,0.001128752,0.007793117,0.005101318,0.004584436,0.200336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009007478,"about_ca_system_score_gemma":0.002143883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791969,"about_ca_topic_score_gemma":0.004070074,"domain_scores_codex":[0.9977881,0.0004964911,0.0001806798,0.0003966642,0.0008873041,0.0002507821],"domain_scores_gemma":[0.9942284,0.001055416,0.0002208284,0.0007271317,0.002487203,0.001281134],"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":[0.0001098304,0.0000737909,0.000603725,0.0002688936,0.00002928391,0.000120743,0.0001716996,0.00004564145,0.001048238,0.001791444,0.8611537,0.1345829],"study_design_scores_gemma":[0.000009492872,0.00003069847,0.0006039927,0.0001644359,0.0000130803,0.0001332416,0.0001481799,0.0001162446,0.000167435,0.0007386803,0.9978612,0.00001320394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01003415,0.08469337,0.04960289,0.03318094,0.1451826,0.001303253,0.008657951,0.01219452,0.6551502],"genre_scores_gemma":[0.01870738,0.04188532,0.01444211,0.007858329,0.01737121,0.0007288054,0.01163564,0.001804902,0.8855664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3073556,"threshold_uncertainty_score":0.9879731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07520149048251502,"score_gpt":0.3356241252598077,"score_spread":0.2604226347772927,"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."}}