{"id":"W1938355561","doi":"","title":"Méthode de mesures terrain de l'atténuation F-MIRE de protecteurs auditifs durant un quart de travail","year":2008,"lang":"fr","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure","funders":"","keywords":"Acoustics; Noise (video); Microphone; Field (mathematics); Hearing protection; Sound pressure; Computer science; Attenuation; Engineering; Telecommunications; Physics; Mathematics; Optics; Artificial intelligence; Audiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002798754,0.0004145865,0.0004128231,0.0003302494,0.001556084,0.00005165346,0.0003735568,0.0007663734,0.0009193817],"category_scores_gemma":[0.001421199,0.0004762893,0.0001277392,0.0003492032,0.0002912969,0.0001203752,0.00004911618,0.001258325,0.0002503418],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005330016,"about_ca_system_score_gemma":0.009450763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2414964,"about_ca_topic_score_gemma":0.2388123,"domain_scores_codex":[0.9939319,0.002240742,0.0005787563,0.0004532578,0.0002984518,0.002496904],"domain_scores_gemma":[0.9965401,0.0005080611,0.0002417487,0.0005252703,0.000165373,0.002019434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009534774,0.0002644908,0.009724384,0.002913991,0.0002902562,0.004595338,0.05906286,0.006944371,0.02222931,0.006858152,0.8263553,0.06066621],"study_design_scores_gemma":[0.002756941,0.0004844588,0.803334,0.001968732,0.0008282002,0.000565891,0.0119142,0.05888202,0.000543299,0.008120107,0.1090325,0.001569681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020655,0.003021442,0.2456055,0.03705652,0.002652306,0.003902774,0.0007482245,0.0002202294,0.004727516],"genre_scores_gemma":[0.9377496,0.001208726,0.02312517,0.01216373,0.001537493,0.0004145238,0.0000760714,0.0001543375,0.0235703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7936096,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390223555613313,"score_gpt":0.3358431255213974,"score_spread":0.2968207699600661,"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."}}