{"id":"W3004501372","doi":"10.1016/j.apacoust.2020.107228","title":"Acoustic characterization of tonal and broadband backup alarms in laboratory and field conditions","year":2020,"lang":"en","type":"article","venue":"Applied Acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Université de Sherbrooke","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Anechoic chamber; Backup; Broadband; Acoustics; Sound pressure; ALARM; Diffraction; Engineering; Computer science; Telecommunications; Electrical engineering; Physics; Optics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0002748181,0.0002431665,0.0002511267,0.0004351771,0.0004063687,0.0003816885,0.000278193,0.0004612867,0.002569523],"category_scores_gemma":[0.001235868,0.0001225206,0.0001439252,0.0002606868,0.0002752004,0.0002795897,0.0002069039,0.0002536829,0.0004597321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510393,"about_ca_system_score_gemma":0.000256566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127954,"about_ca_topic_score_gemma":0.001344111,"domain_scores_codex":[0.9996076,0.0000564558,0.0000208901,0.00009497692,0.0001726592,0.00004742815],"domain_scores_gemma":[0.9990282,0.0003298294,0.00008549753,0.00004810434,0.0004469803,0.00006145695],"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":[0.002641073,0.0002148634,0.01876858,0.0001041037,0.00001804599,0.0001542952,0.0004679586,0.001103997,0.9527783,0.00007581597,0.0004376785,0.02323524],"study_design_scores_gemma":[0.00007035624,0.004992608,0.5165746,0.00003640231,0.00009296133,0.001501297,0.002241058,0.01077825,0.4594367,0.0002506151,0.003951611,0.00007362675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995061,0.00007986408,0.003691348,0.00002236267,0.00002814892,0.00001728477,0.0001712173,0.00005589797,0.0008728908],"genre_scores_gemma":[0.996519,0.00006410018,0.001710362,0.00003477521,0.00001344423,0.00002577137,0.0001992795,0.00002025532,0.001413007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569523,"threshold_uncertainty_score":0.008595943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697150186590508,"score_gpt":0.3117148945981895,"score_spread":0.2947433927322844,"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."}}