{"id":"W1601976666","doi":"","title":"Ear Cup Selection for Feedforward Active Noise Reduction Hearing Protectors","year":2010,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health","keywords":"Noise reduction; Reduction (mathematics); Acoustics; Noise control; Noise (video); Feed forward; Selection (genetic algorithm); Active noise control; Engineering; Computer science; Physics; Mathematics; Control engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009474263,0.00134924,0.0008371833,0.0008867643,0.0007023364,0.001240909,0.001162069,0.0009565112,0.007985864],"category_scores_gemma":[0.002620586,0.0004868172,0.0005550107,0.0003104944,0.0003144116,0.0009582936,0.0009628141,0.0002956043,0.001640061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082949,"about_ca_system_score_gemma":0.0006262389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520934,"about_ca_topic_score_gemma":0.001429067,"domain_scores_codex":[0.9992676,0.0001263077,0.00005570583,0.0001163397,0.0003290375,0.0001049266],"domain_scores_gemma":[0.9981393,0.0004307241,0.0001386119,0.000164273,0.001037972,0.0000891322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007446085,0.0003485212,0.004628455,0.000456536,0.00006591272,0.0003319049,0.0001704002,0.007633973,0.7421058,0.0008278084,0.001990152,0.2339944],"study_design_scores_gemma":[0.0002050225,0.002130118,0.01485653,0.00007632551,0.0003734212,0.001072075,0.0002436551,0.04462517,0.9311845,0.000414877,0.004730629,0.00008759914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6020026,0.0010007,0.3837779,0.0001886314,0.0002586248,0.0002674703,0.0005554786,0.003602304,0.008346248],"genre_scores_gemma":[0.9144768,0.0003889863,0.07966181,0.00009867634,0.00003547125,0.0000637377,0.0003653046,0.0001779272,0.004731297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007985864,"threshold_uncertainty_score":0.02671534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190802021317992,"score_gpt":0.243441303561262,"score_spread":0.2243611014294628,"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."}}