{"id":"W3001383123","doi":"10.24908/pceea.vi0.13700","title":"A MULTIDISCIPLINARY LEARNING EXPERIENCE FOR EDUCATION IN ACCESSIBILITY","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Multidisciplinary approach; Perspective (graphical); Engineering ethics; Context (archaeology); Legislation; Engineering; Pedagogy; Psychology; Political science; Sociology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008002936,0.00009562871,0.0001326929,0.0002071481,0.0001829873,0.0001651338,0.0003800741,0.0001184204,0.00008471463],"category_scores_gemma":[0.004166022,0.00009959459,0.00007511052,0.0005240914,0.00004523832,0.0007442624,0.00003232277,0.000130868,0.00001059984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231065,"about_ca_system_score_gemma":0.002491954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02974799,"about_ca_topic_score_gemma":0.0627119,"domain_scores_codex":[0.9989241,0.00001241647,0.0002616357,0.0002335096,0.0002735206,0.0002948655],"domain_scores_gemma":[0.9989685,0.0001160335,0.0002617734,0.0000897807,0.000429828,0.0001340524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002096129,0.00007622779,0.9692762,0.0001218558,0.000004817364,1.395485e-9,0.009846126,0.00006999986,0.0001760332,0.01827183,0.0005489041,0.001605836],"study_design_scores_gemma":[0.0001549356,0.00001469,0.9431567,0.0001848205,0.000008330462,1.171121e-7,0.02638514,0.0005625811,0.0003495645,0.003523466,0.02544074,0.0002189644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241588,0.00002738523,0.000001504672,0.001301544,0.0008389692,0.0008326827,0.000004715084,0.00004692934,0.0727875],"genre_scores_gemma":[0.9675496,0.000002092086,0.0003828933,0.00004060238,0.00008765543,0.0001753068,0.000003920443,0.00002106931,0.03173687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04339081,"threshold_uncertainty_score":0.976713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859443141079759,"score_gpt":0.2916472934405059,"score_spread":0.2827878502994262,"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."}}