{"id":"W4405438263","doi":"10.1145/3708907.3708908","title":"Equity, Diversity and Inclusion at ACM MMSys 2023","year":2023,"lang":"en","type":"article","venue":"ACM SIGMultimedia Records","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Simon Fraser University","funders":"","keywords":"Computer science; Equity (law); Inclusion (mineral); Diversity (politics); Chemistry; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01666974,0.0002884139,0.0003350494,0.001579765,0.02415036,0.01283256,0.0009126723,0.003476341,0.01213737],"category_scores_gemma":[0.01764348,0.0002939162,0.0002152209,0.002961329,0.007328625,0.004016232,0.01387458,0.006299643,0.001074364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02035531,"about_ca_system_score_gemma":0.02961148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09168907,"about_ca_topic_score_gemma":0.2139715,"domain_scores_codex":[0.988094,0.004508093,0.0002123403,0.0003456775,0.003761546,0.003078323],"domain_scores_gemma":[0.9797891,0.004606293,0.0006201267,0.0006469401,0.002468116,0.01186951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001335021,0.0003063942,0.01063589,0.000187965,0.000007599683,0.0007922515,0.2120357,0.0001113642,0.002037032,0.07949246,0.4840802,0.2101797],"study_design_scores_gemma":[0.00001383138,0.00006922519,0.01658594,0.0002288767,0.000002801864,0.0001215722,0.0864436,0.00009315035,0.0007868896,0.003284742,0.8923319,0.00003731126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2217144,0.004918472,0.002579366,0.363776,0.006839429,0.000865358,0.0007651054,0.0002614996,0.3982804],"genre_scores_gemma":[0.7744123,0.002587779,0.002918459,0.02170779,0.002292807,0.0009319772,0.0002465987,0.0001354108,0.1947669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9990873,"threshold_uncertainty_score":0.1823108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04637614481726898,"score_gpt":0.3018110930045556,"score_spread":0.2554349481872866,"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."}}