{"id":"W4412615167","doi":"10.1007/978-3-031-99267-4_30","title":"Human-AI Collaboration and Culture For Equity and Inclusion (Half-Day Workshop)","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Equity (law); Inclusion (mineral); Computer science; Library science; World Wide Web; Political science; Sociology; Social science","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":[0.001736825,0.0004406863,0.0003480914,0.000601446,0.00278926,0.006796769,0.0008971141,0.002748483,0.03453074],"category_scores_gemma":[0.001001953,0.0003105756,0.0003358701,0.0009411362,0.002023785,0.005351986,0.003513394,0.002892594,0.006720185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667453,"about_ca_system_score_gemma":0.00360211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006749949,"about_ca_topic_score_gemma":0.0240075,"domain_scores_codex":[0.9995036,0.0001834804,0.00001054478,0.00006699912,0.0001403329,0.00009507904],"domain_scores_gemma":[0.9994753,0.0001661373,0.000009457494,0.00003094845,0.0001034021,0.0002148187],"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":[0.00003189584,0.00008291318,0.0001116832,0.0001404372,0.000004178309,0.00007838706,0.004092934,0.0001689704,0.0004478898,0.1194651,0.7203761,0.1549994],"study_design_scores_gemma":[0.000004980236,0.00001582912,0.0003677769,0.0002240833,0.000002442133,0.00005966838,0.002434664,0.000121106,0.0003528638,0.0283942,0.9680141,0.000008336732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008770076,0.09235792,0.009814865,0.08589171,0.03021796,0.0001391774,0.0002308662,0.0002378524,0.7723396],"genre_scores_gemma":[0.03904295,0.01967704,0.003370084,0.00518605,0.001756169,0.0001151679,0.0001519635,0.0001654967,0.9305351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03453074,"threshold_uncertainty_score":0.1155168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846328374221623,"score_gpt":0.477613671212504,"score_spread":0.2929808337903417,"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."}}