{"id":"W7007685552","doi":"","title":"Aeroacoustic Optimization of a Metacage to Block the Noise Emitted by an Exhaust Fan","year":2023,"lang":"en","type":"article","venue":"NPARC","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; National Research Council Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Block (permutation group theory); Noise reduction; Ambient noise level; Sampling (signal processing); Noise pollution; Latin hypercube sampling; Transient (computer programming)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002072328,0.0003125419,0.0002224713,0.0001767109,0.0001118188,0.0002412245,0.0002103569,0.0002807466,0.000833882],"category_scores_gemma":[0.0002607802,0.0000879363,0.0002225298,0.0001108987,0.0002471402,0.000140719,0.0002512629,0.0001331304,0.0001400181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631402,"about_ca_system_score_gemma":0.0002261114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004900967,"about_ca_topic_score_gemma":0.0006137271,"domain_scores_codex":[0.9999015,0.00002208822,0.00000330949,0.00002148018,0.00003307062,0.00001847634],"domain_scores_gemma":[0.9998684,0.0000420582,0.00002815861,0.00001499161,0.00003231025,0.00001406652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003380261,0.0001765101,0.001755145,0.0002330112,0.00002728827,0.000255203,0.00005367368,0.4641353,0.5053822,0.004315122,0.0004273367,0.02290103],"study_design_scores_gemma":[0.00005332432,0.001217138,0.001808439,0.00001944664,0.00003335093,0.0001295484,0.0000612557,0.8650805,0.1278513,0.0006564157,0.003069545,0.00001975144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7947194,0.0003184718,0.1909201,0.000112744,0.00006704767,0.00005784767,0.00008988257,0.0002963571,0.01341819],"genre_scores_gemma":[0.976172,0.00006198195,0.02289137,0.00001019938,0.000002888337,0.00002774379,0.00001890851,0.00001369215,0.0008012138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000833882,"threshold_uncertainty_score":0.002789557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745573227804621,"score_gpt":0.2515729429952563,"score_spread":0.2341172107172101,"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."}}