{"id":"W2514785383","doi":"","title":"Blind channel estimation of underwater acoustic waveguide impulse responses using marine mammal vocalizations","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Acoustics; Hydrophone; Impulse (physics); Impulse response; Waveform; Underwater; Deconvolution; Blind deconvolution; Channel (broadcasting); Underwater acoustics; Computer science; Geology; Telecommunications; Physics; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005013683,0.0004700629,0.0004527729,0.0007369681,0.0001725551,0.0004275659,0.0004256741,0.0005017677,0.001142496],"category_scores_gemma":[0.002318342,0.0002616028,0.0005389564,0.0004504139,0.0004052876,0.0007692215,0.0005969924,0.0005105038,0.0005533841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748708,"about_ca_system_score_gemma":0.0005251787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003047518,"about_ca_topic_score_gemma":0.003087933,"domain_scores_codex":[0.9997535,0.00006099817,0.00001240539,0.00005680495,0.00006933515,0.00004694015],"domain_scores_gemma":[0.9995062,0.0002593555,0.00005639319,0.00004307526,0.0001118011,0.00002323667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001019112,0.0001961152,0.005684973,0.000420879,0.0002450797,0.0003703145,0.0003568532,0.3477606,0.112808,0.009035178,0.002737085,0.5193658],"study_design_scores_gemma":[0.00003000387,0.0001074649,0.007414765,0.00004277363,0.00005840833,0.0001752428,0.00007234979,0.9626418,0.02294278,0.004319611,0.002123961,0.00007080617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06559978,0.0004315464,0.9319392,0.00005916786,0.00005508806,0.00003290826,0.0001546534,0.0007362861,0.0009913526],"genre_scores_gemma":[0.6730249,0.0009461411,0.3191325,0.0001022072,0.0001020894,0.00009678552,0.0008856003,0.0001417948,0.005567992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003047518,"threshold_uncertainty_score":0.006059587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171762932384993,"score_gpt":0.2722008333467926,"score_spread":0.2304832040229427,"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."}}