{"id":"W4412673716","doi":"10.1145/3730928","title":"Multi-Dimensional Procedural Wave Noise","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Noise (video); Procedural modeling; Acoustics; Computer graphics (images); Artificial intelligence; Physics; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000163578,0.000135659,0.0001149043,0.0004146203,0.0003860201,0.00006072276,0.0002819185,0.000103801,0.0009164665],"category_scores_gemma":[0.00004048964,0.0001147749,0.00009098287,0.0007216433,0.0001516442,0.0001275327,0.000003099093,0.0004170382,0.0001560455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007920917,"about_ca_system_score_gemma":0.0001450424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004152362,"about_ca_topic_score_gemma":0.002550179,"domain_scores_codex":[0.9988323,0.0000502394,0.0001698503,0.0002840531,0.0003392224,0.0003243099],"domain_scores_gemma":[0.9991335,0.000270889,0.00001860945,0.0003612465,0.00009958944,0.0001161656],"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":[0.001192216,0.001855921,0.07293047,0.0005123643,0.0009670614,0.0002214045,0.001040044,0.6291024,0.006224833,0.0003017545,0.00730331,0.2783482],"study_design_scores_gemma":[0.00154754,0.000293233,0.1385203,0.00009048644,0.00009505728,0.00003463772,0.000147312,0.8412234,0.004525257,0.009290117,0.003753973,0.0004786641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1687084,0.000254241,0.8158293,0.009102517,0.001331334,0.000916921,0.00046956,0.0003562967,0.003031394],"genre_scores_gemma":[0.9793608,0.0000599271,0.01769413,0.001262328,0.00001504699,0.00000484739,0.00004062501,0.00000431286,0.001558039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8106523,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380729031589829,"score_gpt":0.275432702549147,"score_spread":0.2373597993901641,"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."}}