{"id":"W4409365296","doi":"10.1609/aaai.v39i13.33504","title":"Eliminating Majority Illusion Is Easy","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Illusion; Computer science; Psychology; Cognitive psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003602393,0.0001525803,0.0001654414,0.0001658184,0.0002839938,0.0002235366,0.001123143,0.00008090729,0.0001283953],"category_scores_gemma":[0.0003749011,0.0001218594,0.00009408506,0.0008786514,0.0001648819,0.0003687193,0.0003983123,0.0002256398,0.00004457515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005260395,"about_ca_system_score_gemma":0.0001105014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002856464,"about_ca_topic_score_gemma":0.00000579268,"domain_scores_codex":[0.998634,0.00001409849,0.0004187073,0.0003843237,0.0003362318,0.0002126364],"domain_scores_gemma":[0.9987502,0.0000726689,0.0002464449,0.0002409207,0.0006428577,0.00004697357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001156828,0.00004372793,0.0004358249,0.0000226124,0.000006265722,9.742215e-8,0.00054291,0.00003934284,0.01032279,0.7997154,0.0001424487,0.188717],"study_design_scores_gemma":[0.00003554052,0.00006558568,0.001666019,0.0003282537,0.00001206842,0.00000238472,0.0005016265,0.2357858,0.5667431,0.1942111,0.0004458536,0.0002026958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08705983,0.00003781833,0.698272,0.03246696,0.002014673,0.0008868395,0.00000767339,0.0003515103,0.1789027],"genre_scores_gemma":[0.9901186,0.00003040585,0.008044362,0.000755287,0.00002307288,0.000006678604,2.227942e-7,0.000004311244,0.001017011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9030588,"threshold_uncertainty_score":0.4969282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04328878055188072,"score_gpt":0.2932474765714565,"score_spread":0.2499586960195758,"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."}}