{"id":"W4405441521","doi":"10.7202/1114837ar","title":"Leveraging Technology to Facilitate Access","year":2024,"lang":"en","type":"article","venue":"Archivaria","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Access technology; Computer science; Telecommunications; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0101621,0.0008817142,0.0004608554,0.005155087,0.00385279,0.01283175,0.00315931,0.002392454,0.01439062],"category_scores_gemma":[0.02359409,0.0006263876,0.0007744794,0.003983537,0.008128418,0.02521083,0.02577081,0.002308461,0.005952031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085018,"about_ca_system_score_gemma":0.003689409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858612,"about_ca_topic_score_gemma":0.003146878,"domain_scores_codex":[0.9866347,0.006207802,0.001009876,0.001553592,0.003642348,0.0009516923],"domain_scores_gemma":[0.9811623,0.008696466,0.00106962,0.006697891,0.001497699,0.0008759827],"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":[0.000130061,0.0001902897,0.006769164,0.0008957539,0.00005644912,0.00261701,0.09909429,0.001190456,0.01013388,0.3421467,0.02154055,0.5152354],"study_design_scores_gemma":[0.00002646987,0.0001393101,0.001813827,0.0009348285,0.00004513283,0.002176234,0.01477423,0.001753016,0.004815941,0.1310332,0.8423975,0.0000903719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07119137,0.004750954,0.4404816,0.01504212,0.0008567031,0.0007522526,0.0004600771,0.004649756,0.4618151],"genre_scores_gemma":[0.5577665,0.006357985,0.3492234,0.002618565,0.0006993173,0.001133998,0.0007710173,0.001414114,0.08001517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01439062,"threshold_uncertainty_score":0.05374295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09373185491115933,"score_gpt":0.3850676841600961,"score_spread":0.2913358292489368,"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."}}