{"id":"W2518878568","doi":"10.1177/1045389x16667553","title":"Investigation of aircrew noise exposure levels and hearing protection solutions in helicopter cabin","year":2016,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Ministère de la Défense Nationale","keywords":"Aircrew; Noise (video); Engineering; Aeronautics; Attenuation; Acoustics; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003622377,0.0003061669,0.0002023228,0.0003688517,0.0002610382,0.0004069981,0.000349345,0.0003982098,0.001101802],"category_scores_gemma":[0.000814672,0.0001221702,0.0002042647,0.000197446,0.0001970029,0.0003652239,0.0002386479,0.0001525595,0.0002185402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342378,"about_ca_system_score_gemma":0.0002591869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732619,"about_ca_topic_score_gemma":0.006756298,"domain_scores_codex":[0.9994867,0.00007792847,0.00001976174,0.00005400131,0.0002877065,0.00007385314],"domain_scores_gemma":[0.9994323,0.00010094,0.00007271626,0.00002229969,0.0003429997,0.00002879303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008300511,0.0002654455,0.01467129,0.0003598142,0.00002455961,0.0002999828,0.0005810295,0.002259931,0.9449728,0.000115164,0.0002967541,0.03532322],"study_design_scores_gemma":[0.00004263552,0.007719213,0.1495606,0.00007290958,0.0001688123,0.0006679788,0.002373181,0.013139,0.821728,0.0001169546,0.004365879,0.00004487632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956313,0.0002790602,0.002861673,0.00003078626,0.000007768716,0.00003225708,0.00004091189,0.00002857345,0.001087746],"genre_scores_gemma":[0.9961528,0.0002291447,0.001836482,0.0000329704,0.000003550901,0.00001730504,0.00006153082,0.000007001537,0.001659202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003732619,"threshold_uncertainty_score":0.007421792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493402093368783,"score_gpt":0.2364251247133897,"score_spread":0.1914911037797019,"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."}}