{"id":"W2133070339","doi":"10.1109/compsac.2006.145","title":"Modeling Web Accessibility: A Case Study on Texas A&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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003143495,0.0003944543,0.0003673582,0.001319843,0.001242765,0.001598649,0.001113682,0.001523355,0.002156985],"category_scores_gemma":[0.0096114,0.0002808325,0.0006863761,0.00234296,0.0007482023,0.001642171,0.0009295993,0.0009090811,0.0001894983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002843194,"about_ca_system_score_gemma":0.001162889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04796993,"about_ca_topic_score_gemma":0.06527276,"domain_scores_codex":[0.9984093,0.001130187,0.00006101046,0.0001263562,0.0001407629,0.0001322965],"domain_scores_gemma":[0.9842249,0.01359008,0.0006867783,0.0004842789,0.0006286072,0.0003853754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005843216,0.005485408,0.5378398,0.0004025912,0.0002298365,0.009676339,0.01156249,0.351629,0.001465776,0.01761679,0.003258749,0.06024905],"study_design_scores_gemma":[0.00007438527,0.0009784901,0.09915398,0.00007958615,0.0001134919,0.0008779581,0.01827501,0.870418,0.001587,0.005041759,0.003337135,0.00006316663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960938,0.00003674586,0.002128951,0.0001414747,0.000001911698,0.000045393,0.0001052417,0.00002139209,0.001425217],"genre_scores_gemma":[0.9935294,0.00008750898,0.005349225,0.00001488526,0.000003763852,0.00004252975,0.0001365983,0.000009775193,0.0008262955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04796993,"threshold_uncertainty_score":0.09538144,"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."}}