{"id":"W4414453698","doi":"10.1145/3748642","title":"How Generative Models Are Ruining Themselves","year":2025,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generative grammar; Generative model; Artificial life; Inheritance (genetic algorithm)","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":[0.006858202,0.000865192,0.000716174,0.001508415,0.002112197,0.01152396,0.002161962,0.004667257,0.01183651],"category_scores_gemma":[0.03779358,0.001096714,0.000918019,0.001067111,0.01720897,0.02305124,0.004118377,0.007732969,0.004390414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916813,"about_ca_system_score_gemma":0.001907667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218497,"about_ca_topic_score_gemma":0.003759321,"domain_scores_codex":[0.9941456,0.00379878,0.0001369692,0.0008061872,0.0008934596,0.0002189385],"domain_scores_gemma":[0.978459,0.0147447,0.0004331595,0.004712433,0.001110261,0.0005403746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001274805,0.000009074778,0.0002310885,0.00005521399,0.00003125922,0.00004674074,0.001371713,0.005043698,0.0001695853,0.9793549,0.003842356,0.009831512],"study_design_scores_gemma":[0.000007838557,0.000003757432,0.00004445057,0.00004587961,0.00001138289,0.00004891639,0.0002647054,0.006705537,0.0002088076,0.966347,0.02629642,0.00001521619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01551543,0.007566248,0.7321723,0.07867098,0.001771037,0.00006421596,0.0005404198,0.001800876,0.1618984],"genre_scores_gemma":[0.7377813,0.008142659,0.1992825,0.009038291,0.001481832,0.0003253994,0.0007301575,0.003629236,0.03958856],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01183651,"threshold_uncertainty_score":0.03959703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09877660606627524,"score_gpt":0.356827387966159,"score_spread":0.2580507818998837,"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."}}