{"id":"W2003861273","doi":"10.1121/1.4879663","title":"Coherence extrapolation for underwater ambient noise","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research","keywords":"Extrapolation; Coherence (philosophical gambling strategy); Acoustics; Underwater; Noise (video); Ambient noise level; Aperture (computer memory); Prolate spheroid; Optics; Physics; Geology; Computer science; Mathematics; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109552,0.00009471358,0.0001956002,0.00001654105,0.0002204968,0.00003054469,0.0006404781,0.00004876405,0.0002329337],"category_scores_gemma":[0.0001798715,0.00004364404,0.0002447969,0.0001643241,0.0005652917,0.0000853599,0.0000374751,0.0002731636,0.00001055159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001331142,"about_ca_system_score_gemma":0.00007162833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001932739,"about_ca_topic_score_gemma":0.00000842201,"domain_scores_codex":[0.9985605,0.0001831439,0.0003339921,0.00007864074,0.0005736063,0.0002700673],"domain_scores_gemma":[0.9980068,0.001199402,0.000272704,0.0002106323,0.0002138057,0.00009663533],"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":[0.0005020626,0.0001268921,0.008039871,0.000133639,0.000231057,3.670839e-7,0.00151854,0.8100585,0.06138895,0.000003207483,0.02953148,0.08846542],"study_design_scores_gemma":[0.000318889,0.0004638396,0.008591556,0.00002733342,0.0001075253,0.00001670341,0.000407771,0.9812292,0.002596759,0.003921629,0.002243264,0.00007556317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01769418,0.00005727488,0.978163,0.003502317,0.0001706782,0.0001797315,0.00001863286,0.000004813252,0.0002093377],"genre_scores_gemma":[0.9510288,0.00005445395,0.04782889,0.0007757579,0.000168827,3.182597e-7,0.000001616875,0.000004308486,0.0001370449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9333346,"threshold_uncertainty_score":0.255046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346237469139433,"score_gpt":0.2610936596519514,"score_spread":0.237631284960557,"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."}}