{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000445372,0.00009873253,0.0001170845,0.0002649165,0.0002360074,0.0007915084,0.0007397094,0.00004324421,0.0002950955],"category_scores_gemma":[0.0005899168,0.00009377161,0.0000642698,0.0008654688,0.0004085311,0.0008054352,0.0003575597,0.0001393371,0.000764284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009867516,"about_ca_system_score_gemma":0.0001964267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864801,"about_ca_topic_score_gemma":0.0003224309,"domain_scores_codex":[0.9987248,0.00005978841,0.0001767007,0.0003807979,0.0002496878,0.0004082289],"domain_scores_gemma":[0.9992959,0.0002704232,0.00001105904,0.0002604619,0.0000309754,0.0001311432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004545763,0.00001871066,0.003797772,0.00003292486,0.00001425679,0.000007086124,0.02150068,0.00001040175,0.00006884847,0.905099,0.00171662,0.06772912],"study_design_scores_gemma":[0.00002577715,0.000016633,0.001792105,0.00004006038,0.00000399768,7.792795e-7,0.002767721,0.00003431042,0.00006864561,0.7805396,0.2145934,0.000116983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2609122,0.00007820864,0.001943039,0.01534385,0.0005729655,0.0002741806,0.00002306568,0.0007876703,0.7200648],"genre_scores_gemma":[0.9916177,0.000005079311,0.0006271084,0.0002091568,0.0001032623,0.00004569982,0.000003169119,0.00001215314,0.007376663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7307055,"threshold_uncertainty_score":0.9823579,"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."}}