{"id":"W4413888227","doi":"10.63409/2025.50","title":"From Post-Hoc Accommodation to Inclusive Design","year":2025,"lang":"en","type":"article","venue":"CAUT Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Accommodation; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009599034,0.00006951147,0.0001057339,0.00007904113,0.0008250493,0.0002118572,0.000290302,0.00005750771,0.0004801033],"category_scores_gemma":[0.000468599,0.0000633949,0.00005893538,0.0002103137,0.0000706073,0.0001933422,0.0000797865,0.000135009,0.00006795953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978144,"about_ca_system_score_gemma":0.000413998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009283513,"about_ca_topic_score_gemma":0.0004234811,"domain_scores_codex":[0.9987911,0.0003381612,0.0002021995,0.0001324206,0.0003175975,0.0002185461],"domain_scores_gemma":[0.9993411,0.0001139058,0.00006427639,0.00011926,0.0001995412,0.0001618665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005489753,0.0005028083,0.05251158,0.00001911918,0.0002534957,0.00003140427,0.1675499,0.0005691057,0.005058963,0.01991179,0.4583965,0.2946464],"study_design_scores_gemma":[0.001687556,0.0005203591,0.09012946,0.0002820281,0.000152052,0.000003164399,0.07517489,0.0001720264,0.002410901,0.3455553,0.4832834,0.0006288125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8313569,0.0003519714,0.05503977,0.07556389,0.003740926,0.0006813058,0.00001667087,0.00006712164,0.03318146],"genre_scores_gemma":[0.9912488,0.0001335529,0.003245742,0.002463628,0.0009754701,0.00001295852,0.000005401347,0.000006546771,0.00190793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3256436,"threshold_uncertainty_score":0.6345696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1788012639242769,"score_gpt":0.4634368579576031,"score_spread":0.2846355940333262,"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."}}