{"id":"W4391073615","doi":"10.61782/fa.2023.1205","title":"Analysis of the ambient noise at the scale of the Bay of Biscay marine sub-region","year":2024,"lang":"en","type":"article","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Bay; Scale (ratio); Oceanography; Noise (video); Environmental science; Ambient noise level; Geology; Remote sensing; Geography; Computer science; Cartography; Sound (geography); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001404698,0.0002121249,0.0001927616,0.001156789,0.0002807991,0.0003832752,0.0002312188,0.0001632683,0.0006796307],"category_scores_gemma":[0.0002670573,0.00006889769,0.000186468,0.0008972227,0.0001528203,0.0001215021,0.0003762503,0.0001103906,0.0001537482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864139,"about_ca_system_score_gemma":0.0003164704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1387741,"about_ca_topic_score_gemma":0.1273212,"domain_scores_codex":[0.9999036,0.00001071222,0.000005134596,0.00002745628,0.00003288977,0.00002021948],"domain_scores_gemma":[0.9998564,0.00002330866,0.00001822579,0.000006939483,0.00006963552,0.000025514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003671466,0.0001328512,0.8867385,0.0001311705,0.0001625542,0.000565469,0.0009369446,0.01762655,0.03854388,0.0003711382,0.0006651946,0.05375842],"study_design_scores_gemma":[0.000001484455,0.00001801239,0.9915606,0.000004864474,0.00001533731,0.00003256531,0.0002260233,0.007145999,0.0005622329,0.00002281344,0.0004060333,0.000003943551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978625,0.0000785906,0.0006873854,0.0000159512,0.000003498418,0.000006147625,0.0003589327,0.00001995633,0.0009671415],"genre_scores_gemma":[0.9980076,0.00009056628,0.0005977988,0.000007521248,0.000005633154,0.000007360526,0.0006144234,0.000007295603,0.0006618509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1387741,"threshold_uncertainty_score":0.2759326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054850863239258,"score_gpt":0.3383092336114094,"score_spread":0.3177607249790168,"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."}}