{"id":"W2977429222","doi":"10.1121/1.5125589","title":"Three-dimensional ambient noise modeling in a submarine canyon","year":2019,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Canyon; Submarine canyon; Coherence (philosophical gambling strategy); Bathymetry; Geology; Ambient noise level; Noise (video); Acoustics; Computation; Physics; Computer science; Algorithm","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":[0.0001557304,0.0004601153,0.0003592156,0.0002523568,0.0004524235,0.0007322409,0.0005546617,0.0007382762,0.0006281736],"category_scores_gemma":[0.000308639,0.0003335149,0.0004655893,0.0002476549,0.0004940722,0.0004014171,0.0007217051,0.0003980024,0.0001675278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004866133,"about_ca_system_score_gemma":0.0008693231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03839693,"about_ca_topic_score_gemma":0.02641651,"domain_scores_codex":[0.9999216,0.00002015307,0.000004255215,0.00001984056,0.00002061969,0.00001353597],"domain_scores_gemma":[0.9999094,0.00002836888,0.00001240229,0.000009278438,0.00002488339,0.00001567727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002190007,0.0000132254,0.001513177,0.00001298834,0.00001153579,0.0001216889,0.00006542894,0.9921219,0.00289106,0.001502935,0.0001239308,0.001600185],"study_design_scores_gemma":[0.000007201134,0.0000136933,0.0009316704,0.000003519819,0.000005451961,0.00001748736,0.00002831475,0.998154,0.0002688944,0.0003698521,0.0001925446,0.000007401936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070924,0.0003198767,0.1802687,0.0002109016,0.00005991723,0.00004489126,0.0003517799,0.0004626132,0.0111889],"genre_scores_gemma":[0.9813951,0.0002887692,0.01452411,0.00003393807,0.00001447325,0.00004258558,0.0001923533,0.00005636021,0.003452254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03839693,"threshold_uncertainty_score":0.07634687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242449860432252,"score_gpt":0.2434045850233872,"score_spread":0.2209800864190646,"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."}}