{"id":"W2757825145","doi":"","title":"INVESTIGATION OF GROUND CREW NOISE EXPOSURE FOR THE ROYAL CANADIAN AIR FORCE CH-149 CORMORANT HELICOPTER","year":2017,"lang":"en","type":"article","venue":"NPARC","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Aircrew; Crew; Noise (video); Cockpit; Aeronautics; Engineering; Mile; Environmental science; Marine engineering; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002693476,0.0004015702,0.0001885001,0.0005665184,0.001209839,0.0006558829,0.0004709371,0.0003943314,0.001329197],"category_scores_gemma":[0.0005290323,0.0001447758,0.0001569391,0.0003926904,0.0004896128,0.00009978795,0.0003918169,0.0003426104,0.0003227422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225026,"about_ca_system_score_gemma":0.002255824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.563978,"about_ca_topic_score_gemma":0.7848611,"domain_scores_codex":[0.9993512,0.00003480314,0.0000137865,0.00009730816,0.0004019166,0.0001009258],"domain_scores_gemma":[0.9994823,0.00003343143,0.00006039683,0.00001554454,0.0003433407,0.00006497728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001076662,0.0005103293,0.6486879,0.0004411636,0.0001427935,0.002735119,0.02677214,0.001101745,0.2335868,0.0002654486,0.003813941,0.08086601],"study_design_scores_gemma":[0.000003528101,0.00054998,0.9886529,0.00002918344,0.0000210514,0.0002704524,0.004447847,0.0001644499,0.003835127,0.00001090101,0.001997411,0.00001719936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969684,0.00006845694,0.0002636009,0.00002627271,0.000007002607,0.0000460473,0.000299856,0.000006995972,0.002313397],"genre_scores_gemma":[0.9953818,0.0001914724,0.0005287896,0.00007410103,0.000007716233,0.00003484846,0.0005336027,0.000006506556,0.003241147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.436022,"threshold_uncertainty_score":0.8771797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05830398864657815,"score_gpt":0.3434862023437109,"score_spread":0.2851822136971327,"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."}}