{"id":"W4410024723","doi":"10.55016/pbgrc.v1i1.81379","title":"Merging Dissemination and Knowledge Generation Participatory Art on Algorithmic Decision-Making","year":2025,"lang":"en","type":"article","venue":"Peer Beyond Graduate Research Conference","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Killam Trusts","keywords":"Citizen journalism; Computer science; Knowledge management; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05735684,0.001011548,0.0008514751,0.004330568,0.006037018,0.01381583,0.003366368,0.003787143,0.01424762],"category_scores_gemma":[0.08465985,0.00101336,0.001548362,0.003579937,0.02206717,0.01423163,0.02025303,0.003686593,0.001641149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003716424,"about_ca_system_score_gemma":0.004481147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582369,"about_ca_topic_score_gemma":0.001861344,"domain_scores_codex":[0.9261707,0.06312934,0.001038235,0.003067857,0.005158068,0.001435718],"domain_scores_gemma":[0.8149439,0.1547623,0.002438026,0.0222694,0.003997567,0.001588741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002051745,0.0003902063,0.002687702,0.001345699,0.00009857107,0.0008095092,0.1319406,0.01410453,0.00326834,0.6003882,0.004673382,0.2400881],"study_design_scores_gemma":[0.0001824296,0.0003164541,0.001683354,0.001184173,0.00007591986,0.0004714108,0.03176259,0.02751713,0.004042639,0.7791083,0.1535275,0.0001280723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05811155,0.001427464,0.7841052,0.01192495,0.0003478684,0.001141708,0.0001543832,0.0006109567,0.1421759],"genre_scores_gemma":[0.7140643,0.0009662518,0.2704875,0.0007585029,0.0003450646,0.001756653,0.0001698156,0.0003938833,0.01105811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05735684,"threshold_uncertainty_score":0.3033355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3000723560318789,"score_gpt":0.548122188548014,"score_spread":0.2480498325161351,"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."}}