{"id":"W4409674868","doi":"10.36227/techrxiv.174535333.38097989/v1","title":"Diagram Annotation and Classification for Visually Impaired People in Higher Education","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"Alliance de recherche numérique du Canada; Université Paris-Est Créteil Val-de-Marne; Agence Nationale de la Recherche","keywords":"Annotation; Diagram; Visually impaired; Computer science; Artificial intelligence; Natural language processing; Psychology; Human–computer interaction; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107835,0.0004637626,0.0003334717,0.005323132,0.0007711746,0.001696899,0.0006303395,0.001169463,0.006945055],"category_scores_gemma":[0.01195624,0.0002003041,0.0003885394,0.001853722,0.0003479691,0.0020027,0.001261072,0.0006018204,0.004070209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006499066,"about_ca_system_score_gemma":0.0009432134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008317781,"about_ca_topic_score_gemma":0.01172266,"domain_scores_codex":[0.9989879,0.0002606787,0.0001336157,0.0002288564,0.0003119321,0.00007712014],"domain_scores_gemma":[0.9950805,0.002019445,0.0005056235,0.0007029055,0.001392647,0.0002989599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007987778,0.0003933171,0.1342805,0.0009080188,0.00003874185,0.001828671,0.00607386,0.004166739,0.02432564,0.004596172,0.03325506,0.7893344],"study_design_scores_gemma":[0.00015172,0.0006984861,0.3525739,0.001426026,0.0002831225,0.009264108,0.01666328,0.258343,0.1173546,0.04474369,0.1981493,0.0003487884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236074,0.001782425,0.2191292,0.002027709,0.0002411102,0.000613801,0.01142671,0.02275612,0.01841565],"genre_scores_gemma":[0.8122426,0.001072661,0.1650203,0.0001362986,0.00004988219,0.0002117583,0.009962391,0.000695819,0.01060822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008317781,"threshold_uncertainty_score":0.02323347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616535119500426,"score_gpt":0.4097406074748626,"score_spread":0.3235752562798584,"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."}}