{"id":"W4417082209","doi":"10.59350/9mmkm-3vm15","title":"SFU Sprint Report #2: Accessibility","year":2019,"lang":"","type":"article","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sprint; Legislation; Set (abstract data type); Web accessibility","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004254495,0.0005501055,0.0008583096,0.0001135835,0.0004359816,0.001685769,0.001901644,0.0004350051,0.06023915],"category_scores_gemma":[0.002013993,0.0005013223,0.0007297937,0.001090826,0.002039961,0.004486884,0.001196296,0.0004574023,0.008354103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008158891,"about_ca_system_score_gemma":0.001764255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008215071,"about_ca_topic_score_gemma":0.00287786,"domain_scores_codex":[0.992544,0.0003663713,0.001828853,0.002076131,0.001849343,0.001335298],"domain_scores_gemma":[0.9951136,0.0005469047,0.0005916216,0.002608907,0.0005278629,0.0006111002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006220977,0.001039941,0.827623,0.0003416698,0.00008302602,0.00003178427,0.004177636,0.000005450697,0.00004711527,0.1401235,0.0008682036,0.02559658],"study_design_scores_gemma":[0.0008501968,0.0003147095,0.555952,0.0001726444,0.00008910598,0.00002525585,0.05087573,0.0001838562,0.001020126,0.2361341,0.1525372,0.001845208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4996474,0.000075527,0.00001868533,0.001122928,0.002220977,0.0009733693,0.00001416649,0.000198641,0.4957283],"genre_scores_gemma":[0.8445727,0.00002869455,0.0001952616,0.0002605409,0.0003143344,0.0000256356,0.00001070318,0.00003466103,0.1545575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3449253,"threshold_uncertainty_score":0.9997438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537583150957542,"score_gpt":0.3361241504177413,"score_spread":0.3107483189081659,"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."}}