{"id":"W2007377828","doi":"10.1121/1.4779026","title":"Geoacoustic inversion of noise coherence in shallow water","year":2002,"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":"Dalhousie University; Defence Research and Development Canada","funders":"","keywords":"Waves and shallow water; Buoy; Coherence (philosophical gambling strategy); Inversion (geology); Simulated annealing; Acoustics; Geology; Nonlinear system; Underwater; Computer science; Ambient noise level; Noise (video); Algorithm; Seismology; Mathematics; Oceanography; Physics; Artificial intelligence; Statistics","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":[0.0002149053,0.0002872019,0.0001951591,0.0003311324,0.0001390855,0.0002495352,0.0003409048,0.0001769787,0.0003360741],"category_scores_gemma":[0.0009593254,0.0002005375,0.0001431035,0.0003339798,0.0003016948,0.0003730023,0.0004358538,0.0002009432,0.00008955465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951851,"about_ca_system_score_gemma":0.0008972334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732958,"about_ca_topic_score_gemma":0.05690259,"domain_scores_codex":[0.9999301,0.00001651441,0.000002768549,0.00001361521,0.00002562958,0.000011394],"domain_scores_gemma":[0.9998649,0.0000598543,0.00002234234,0.00001359077,0.00002906588,0.00001026398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001046155,0.00003164834,0.009432301,0.00003907977,0.00003075505,0.0001081649,0.0001462838,0.8823216,0.06273207,0.002497354,0.0001725147,0.04238367],"study_design_scores_gemma":[0.00001015854,0.00002047443,0.002884387,0.000002050166,0.000004285246,0.000007812519,0.00001690802,0.9919945,0.004414543,0.0004702016,0.0001694559,0.000005270118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897223,0.0001722025,0.30788,0.00008648868,0.00001088067,0.00001571114,0.0001114561,0.0003083268,0.001692704],"genre_scores_gemma":[0.9795939,0.0000550879,0.0198699,0.000009350312,0.000003000966,0.000006591798,0.00007338868,0.00001754791,0.0003712562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03732958,"threshold_uncertainty_score":0.07422459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382644195866672,"score_gpt":0.2329751754673394,"score_spread":0.2091487335086727,"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."}}