{"id":"W2133070339","doi":"10.1109/compsac.2006.145","title":"Modeling Web Accessibility: A Case Study on Texas A&amp;M University People Website","year":2006,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Texas A and M University","keywords":"The Internet; Internet access; Digital divide; Domain (mathematical analysis); China; Order (exchange); Computer science; Geography; Gravity model of trade; Scale (ratio); World Wide Web; Demography; Cartography; Business; Mathematics; Sociology; International trade","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001038394,0.00009797389,0.0001695989,0.0001412298,0.001074186,0.0001081242,0.0002154925,0.00006429175,0.001087214],"category_scores_gemma":[0.00007034605,0.000096472,0.0001031596,0.0007007442,0.00007716959,0.0002173227,0.0000395008,0.0001150312,0.0001847167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253881,"about_ca_system_score_gemma":0.0002595025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4085799,"about_ca_topic_score_gemma":0.8971003,"domain_scores_codex":[0.9984723,0.000422456,0.000174916,0.0003674916,0.0003398643,0.0002229926],"domain_scores_gemma":[0.999236,0.0001518026,0.00003839795,0.0003365357,0.0001457199,0.00009148709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005309582,0.004214452,0.8565915,0.00001780142,0.0001316768,0.0004256449,0.04164796,0.07868065,0.00002032552,0.01376639,0.001168948,0.003281505],"study_design_scores_gemma":[0.002247916,0.0002489655,0.02737052,0.00003032867,0.0006217745,0.000009903081,0.6409154,0.3103619,0.000009515535,0.002713053,0.01428356,0.001187197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656722,0.000008786445,0.004267784,0.0003716513,0.00003012103,0.000282146,0.000004710848,0.0001302897,0.02923234],"genre_scores_gemma":[0.9913695,0.000002190817,0.00006192051,0.00005675903,0.00009611245,0.000001587599,0.000006265351,0.000004770381,0.008400849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.829221,"threshold_uncertainty_score":0.999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090038929340008,"score_gpt":0.319362956097695,"score_spread":0.278462566804295,"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."}}