{"id":"W7126016704","doi":"10.1109/icac69156.2025.11361508","title":"A Novel Objective Function for Counterfactual Explanations Using Conic Optimization","year":2025,"lang":"","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Counterfactual thinking; Counterfactual conditional; Artificial neural network; Conic section; Benchmark (surveying); Function (biology); Feature (linguistics)","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":[0.006055743,0.001546238,0.001260813,0.001783467,0.0006519939,0.002056322,0.002020144,0.002975897,0.004163057],"category_scores_gemma":[0.01559194,0.0005574461,0.001142463,0.001268412,0.001630455,0.002584442,0.001913928,0.002447339,0.000439824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918425,"about_ca_system_score_gemma":0.002259751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467127,"about_ca_topic_score_gemma":0.002050922,"domain_scores_codex":[0.9976554,0.001353118,0.000133127,0.0002820659,0.0004668152,0.0001095695],"domain_scores_gemma":[0.9931555,0.005188772,0.0004958537,0.0003676286,0.0006503729,0.0001418335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008343162,0.00007386228,0.0008866208,0.0001877702,0.000084236,0.0001261369,0.00008616816,0.8407646,0.0007731939,0.09433272,0.003274773,0.05932643],"study_design_scores_gemma":[0.00001093102,0.0000137062,0.00007545795,0.0000189205,0.000006881919,0.0000174439,0.000008541423,0.9772943,0.0002731092,0.02157614,0.0006977702,0.000006852723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00552605,0.000316913,0.9910252,0.0005776528,0.00004747514,0.00007796127,0.0001055779,0.0001515159,0.002171568],"genre_scores_gemma":[0.3426254,0.0004739292,0.6507948,0.0004729217,0.0001383224,0.0006169418,0.0007073751,0.0002838085,0.00388654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006055743,"threshold_uncertainty_score":0.03202623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987872412210945,"score_gpt":0.3226367167859411,"score_spread":0.2627579926638317,"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."}}