{"id":"W231179736","doi":"","title":"EMERGING TECHNOLOGIES -- Accessibility and Web Design : Why Does It Matter?","year":2001,"lang":"en","type":"article","venue":"Language learning & technology","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web accessibility; The Internet; Public relations; Internet privacy; Government (linguistics); World Wide Web; Business; Computer science; Web standards; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009668882,0.0002389267,0.0003381141,0.0004038131,0.0006540248,0.0002995772,0.000861481,0.0004503205,0.0007397666],"category_scores_gemma":[0.002860754,0.0001961988,0.0000674826,0.001056295,0.002114943,0.0007520494,0.000521937,0.0006204683,0.00008323444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455792,"about_ca_system_score_gemma":0.00007411298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008339788,"about_ca_topic_score_gemma":0.003178491,"domain_scores_codex":[0.9977347,0.0002226839,0.0003500371,0.0006767479,0.000290704,0.0007251002],"domain_scores_gemma":[0.9988244,0.0003295392,0.0001633677,0.0005359193,0.00008324879,0.00006355267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003575737,0.0001162032,0.7401243,0.00006852525,0.00003786446,0.0000745291,0.01636742,0.00002615982,0.0013958,0.00603337,0.0005325091,0.2351875],"study_design_scores_gemma":[0.0006483344,0.0002224306,0.006960298,0.0001646713,0.00005507983,0.00004814393,0.7208767,0.0002302892,0.002897523,0.09852213,0.1683349,0.001039465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427119,0.00109152,0.0008000784,0.02088125,0.0001312786,0.000389443,0.000003248333,0.003394104,0.03059714],"genre_scores_gemma":[0.9926916,0.0002055606,0.001606017,0.0002301085,0.00004415259,0.00007152465,0.000002895596,0.0000274938,0.005120683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.733164,"threshold_uncertainty_score":0.8099925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146116525664749,"score_gpt":0.3100663299062478,"score_spread":0.2954546773397729,"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."}}