{"id":"W4229603905","doi":"10.32920/ryerson.14651976","title":"Pear Square: Design and Development of Inclusive Digital Media Technology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Process (computing); Computer science; Development (topology); Key (lock); Square (algebra); PEAR; Multimedia; World Wide Web; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005127583,0.0007833376,0.0003183496,0.0009686638,0.0008088459,0.003478292,0.001569796,0.0008782638,0.006045198],"category_scores_gemma":[0.01206479,0.0007369466,0.0004563922,0.0005140498,0.001885002,0.003818134,0.004542732,0.000991062,0.00133151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286376,"about_ca_system_score_gemma":0.003421252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007756253,"about_ca_topic_score_gemma":0.001083629,"domain_scores_codex":[0.9947195,0.003036073,0.0002646738,0.0005775181,0.001220869,0.0001812694],"domain_scores_gemma":[0.9958477,0.002192937,0.0002588728,0.0005579147,0.0008049639,0.000337503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001035939,0.00107449,0.006850229,0.003382971,0.00009125911,0.002305878,0.04812453,0.03171765,0.07376334,0.2262268,0.007312621,0.5981143],"study_design_scores_gemma":[0.0008098207,0.004231955,0.006202711,0.001254374,0.0002525468,0.002147828,0.01878001,0.1533648,0.09929916,0.07834028,0.6350688,0.0002476592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1259769,0.0003248051,0.8115731,0.0007178808,0.0001247819,0.00379179,0.0002048326,0.002889086,0.05439677],"genre_scores_gemma":[0.19892,0.0002681392,0.7828446,0.0001156998,0.00000913523,0.002445041,0.0002295849,0.0004649728,0.0147029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006045198,"threshold_uncertainty_score":0.02711755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784000391586077,"score_gpt":0.3158904920037329,"score_spread":0.2780504880878721,"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."}}