{"id":"W4225100126","doi":"10.1145/3491101.3516397","title":"Equity Talks @SIGCHI","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Saskatchewan","funders":"","keywords":"Equity (law); Diligence; Due diligence; Library science; Executive committee; Political science; Computer science; World Wide Web; Public relations; Psychology; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004058692,0.0003110935,0.0005033776,0.0002761775,0.003538013,0.0007771098,0.001068063,0.0002309694,0.0002629139],"category_scores_gemma":[0.00067677,0.0003323622,0.0001381532,0.0003663039,0.0003584726,0.0002671153,0.0004171816,0.001639144,0.00002162874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008892376,"about_ca_system_score_gemma":0.0006961547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165145,"about_ca_topic_score_gemma":0.002060213,"domain_scores_codex":[0.9953384,0.0009433507,0.0007533263,0.00058839,0.00141489,0.0009616792],"domain_scores_gemma":[0.9979912,0.0005358484,0.0005427742,0.0003886861,0.0002101242,0.0003313533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001602496,0.0004964863,0.003427798,0.00005896124,0.00003789037,0.00006791561,0.05951419,0.005072727,0.0004053908,0.9276129,0.0008862843,0.002403438],"study_design_scores_gemma":[0.003270216,0.001622084,0.5688815,0.001372247,0.00006110437,0.00001467308,0.2174602,0.002760723,0.0003365218,0.1725665,0.0276337,0.004020586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7599617,0.00004202762,0.00001427385,0.0005691388,0.00196327,0.0004702403,0.0000237068,0.0001996472,0.236756],"genre_scores_gemma":[0.998257,0.00001007822,0.00001689595,0.0002243302,0.0004210538,0.00001425572,0.00002845627,0.0000307706,0.0009971822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7550464,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.209825368018146,"score_gpt":0.4355621692786986,"score_spread":0.2257368012605525,"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."}}