{"id":"W2132622541","doi":"","title":"Digital Technology, Learning, and Postsecondary Students with Disabilities: Where We've Been and Where We're Going.","year":2014,"lang":"en","type":"article","venue":"The Journal of Postsecondary Education and Disability","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Postsecondary education; Assistive technology; ICTS; Emerging technologies; Psychology; Universal design; Information and Communications Technology; Educational technology; Higher education; Learning disability; Universal Design for Learning; Pedagogy; Engineering ethics; Computer science; Political science; Engineering; World Wide Web; Developmental psychology; Human–computer interaction","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":[0.001217567,0.000226758,0.0003778726,0.001486092,0.006559745,0.006496866,0.0005529428,0.00184679,0.006414078],"category_scores_gemma":[0.003960983,0.0001380445,0.0002192108,0.002180735,0.005162035,0.006098868,0.004926268,0.003242636,0.0005148876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005515856,"about_ca_system_score_gemma":0.01331634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1196218,"about_ca_topic_score_gemma":0.2516568,"domain_scores_codex":[0.998419,0.0004007043,0.00006677011,0.00009352018,0.0004212224,0.0005987274],"domain_scores_gemma":[0.9976809,0.000543958,0.0002121602,0.00004301321,0.0003347922,0.001185177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005624829,0.0002668203,0.06881795,0.001270886,0.00002947853,0.0008383604,0.08890258,0.0000780144,0.000228538,0.06658485,0.08205341,0.6908729],"study_design_scores_gemma":[0.000008560102,0.0001228406,0.1044218,0.00429941,0.0000343859,0.001348731,0.2589427,0.00006345197,0.0002520105,0.01818018,0.6122379,0.00008804932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1346037,0.3681088,0.001268992,0.3510427,0.003689143,0.00005947241,0.0004778175,0.00009884848,0.1406505],"genre_scores_gemma":[0.6972898,0.2624197,0.0009730572,0.01628929,0.0008734489,0.000060149,0.0001866211,0.00002237697,0.02188559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1196218,"threshold_uncertainty_score":0.237851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128323796932497,"score_gpt":0.3173807514124606,"score_spread":0.3060975134431356,"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."}}