{"id":"W4408824551","doi":"10.5194/oos2025-204","title":"Quantification, characterization and attenuation of the acoustic footprint of the maritime transport in the St. Lawrence seaway - The MARS observatory","year":2025,"lang":"en","type":"preprint","venue":"","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":"Mars Exploration Program; Observatory; Footprint; Attenuation; Environmental science; Remote sensing; Oceanography; Marine engineering; Geology; Geography; Engineering; Astrobiology; Physics; Archaeology; Astronomy","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":[0.0002200134,0.0002761787,0.000143934,0.0007768691,0.0003306759,0.0004879722,0.0003505225,0.000218209,0.0005338119],"category_scores_gemma":[0.0004352234,0.0001589569,0.0001933062,0.0007762837,0.00017002,0.0001696391,0.0003580358,0.0001649275,0.0002663755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971913,"about_ca_system_score_gemma":0.0005828695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3762642,"about_ca_topic_score_gemma":0.5234416,"domain_scores_codex":[0.9997771,0.00001772769,0.000009011388,0.00005780633,0.00009501051,0.00004325875],"domain_scores_gemma":[0.9996351,0.000024033,0.00008360924,0.00001861448,0.0002042328,0.00003438215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001684306,0.00003905245,0.9177753,0.00004734332,0.00007390117,0.000108614,0.0008116204,0.001594139,0.05365644,0.0001196107,0.0008224612,0.02478326],"study_design_scores_gemma":[0.000001318527,0.00002640439,0.9952018,0.000007550634,0.00001100514,0.00003562837,0.0002593284,0.002041436,0.001476774,0.000006036326,0.0009269791,0.000005587403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976099,0.0000745361,0.0006593571,0.00001966877,0.000002431178,0.000005333765,0.0007313994,0.00003331659,0.0008641966],"genre_scores_gemma":[0.996185,0.00007255752,0.001235802,0.00001389426,0.000003034015,0.0000127935,0.001473057,0.00001668129,0.0009871084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6237358,"threshold_uncertainty_score":0.7481482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202777608344223,"score_gpt":0.2550124127177664,"score_spread":0.2129846366343242,"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."}}