{"id":"W2913321874","doi":"","title":"Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility","year":2015,"lang":"en","type":"article","venue":"Conference on Computers and Accessibility","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pleasure; Mainstream; Library science; China; Work (physics); Inclusion (mineral); Computer science; Political science; Engineering; Sociology; Psychology; Law; Social science","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"],"consensus_categories":[],"category_scores_codex":[0.00194275,0.0004287956,0.0005960189,0.0001274668,0.0004491982,0.001644916,0.004237547,0.0002124899,0.0001036458],"category_scores_gemma":[0.00231896,0.0003130193,0.0002127771,0.0005423562,0.002655549,0.002174937,0.001653082,0.0004537585,0.00001093107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508544,"about_ca_system_score_gemma":0.0006781994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007892765,"about_ca_topic_score_gemma":0.0004079994,"domain_scores_codex":[0.995736,0.0002192196,0.0008451078,0.001222748,0.001411649,0.0005652512],"domain_scores_gemma":[0.9960215,0.0006288611,0.0005998972,0.0008715352,0.00141914,0.0004590474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003966464,0.001357705,0.6987015,0.0001745154,0.00008131321,0.00000180362,0.01063555,0.0000316012,0.00007824809,0.2023166,0.003237562,0.08298697],"study_design_scores_gemma":[0.002605536,0.0006829784,0.6308361,0.001211087,0.00005902128,0.000002690649,0.01959748,0.006362175,0.001971916,0.3340386,0.001345566,0.001286905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129745,0.00001635859,0.0001705684,0.004708711,0.002081297,0.0007764293,0.00006436501,0.0001465144,0.07906128],"genre_scores_gemma":[0.9984787,0.00001963256,0.0004974589,0.0004880627,0.0002281478,0.00003289283,0.000009051507,0.00001705189,0.0002290424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.131722,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150027417746093,"score_gpt":0.3591077902202812,"score_spread":0.2441050484456719,"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."}}