{"id":"W4400287478","doi":"10.1121/10.0027781","title":"Characterization, understanding, and mitigation of underwater noise radiated by ships in the St. Lawrence Estuary","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Maritime; Université du Québec à Rimouski","funders":"","keywords":"Underwater; Estuary; Noise (video); Acoustics; Marine engineering; Environmental science; Oceanography; Characterization (materials science); Underwater acoustics; Engineering; Geology; Computer science; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000236256,0.0001963554,0.0002222014,0.0006531018,0.0004618067,0.000497359,0.0003266051,0.0002601879,0.0002197052],"category_scores_gemma":[0.0003454906,0.0001322311,0.0001586591,0.000651186,0.000194431,0.0002417174,0.0003142108,0.0001675808,0.0001480972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006516376,"about_ca_system_score_gemma":0.001309296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2606989,"about_ca_topic_score_gemma":0.4877987,"domain_scores_codex":[0.9998078,0.00001189148,0.00001397,0.00004511319,0.00007713134,0.00004421051],"domain_scores_gemma":[0.9997326,0.00002647211,0.00005361132,0.00001137517,0.0001519417,0.00002406021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001896783,0.0001725029,0.8596058,0.0001082728,0.00006917396,0.0003421276,0.001012346,0.01055779,0.09114257,0.00010312,0.0007079503,0.03598863],"study_design_scores_gemma":[0.000003172896,0.00009122452,0.9780806,0.00001372878,0.00002395358,0.00007312459,0.0008633316,0.01391829,0.006038504,0.00001789153,0.0008603689,0.00001586639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985223,0.00003693704,0.0006760964,0.00001311994,0.000001426382,0.000004681396,0.0002429061,0.00001818711,0.000484273],"genre_scores_gemma":[0.9969918,0.00009017735,0.001293756,0.0000193227,0.000001982665,0.00001089142,0.0008384481,0.000009334129,0.0007443023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7393011,"threshold_uncertainty_score":0.5183629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423003653354585,"score_gpt":0.2486148460192799,"score_spread":0.2243848094857341,"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."}}