{"id":"W4411534299","doi":"10.1145/3698061.3728392","title":"Explainable AI for the Arts 3 (XAIxArts3)","year":2025,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; The arts; Artificial intelligence; Visual arts; Art","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":[0.007614256,0.0005044617,0.0003120037,0.0008283009,0.003544515,0.01051672,0.001664111,0.003591875,0.04636099],"category_scores_gemma":[0.008525181,0.0003406844,0.0009484717,0.0007588819,0.006471805,0.006787726,0.008946851,0.005554967,0.006627653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003072843,"about_ca_system_score_gemma":0.003646352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066396,"about_ca_topic_score_gemma":0.005035772,"domain_scores_codex":[0.9965162,0.001772506,0.0001319869,0.0003398045,0.000918119,0.0003212461],"domain_scores_gemma":[0.9949163,0.003226841,0.0001818069,0.0007235432,0.0004340727,0.0005174003],"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":[0.0001049443,0.00004680576,0.0002084077,0.0004678648,0.00001487967,0.0003216573,0.01626128,0.0009825815,0.0025745,0.6442291,0.2439771,0.09081104],"study_design_scores_gemma":[0.000009231801,0.00002055638,0.0001839608,0.0002316601,0.00000493481,0.0001128564,0.001613575,0.0003282216,0.00129531,0.03405973,0.9621218,0.00001809449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01945409,0.01784193,0.1346627,0.1248348,0.01842811,0.000433406,0.001051756,0.00428392,0.6790094],"genre_scores_gemma":[0.2429979,0.01048085,0.07145383,0.01569993,0.003109043,0.0009210609,0.001531469,0.003417796,0.6503881],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04636099,"threshold_uncertainty_score":0.155093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823487514792491,"score_gpt":0.3179326312488757,"score_spread":0.2896977561009508,"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."}}