{"id":"W1592461053","doi":"","title":"Localization of right whales using matched correlation processing","year":2006,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Acoustics; Underwater; Sonar; Broadband; Geology; Underwater acoustics; Synthetic aperture sonar; Sonar signal processing; Remote sensing; Cross-correlation; Waves and shallow water; Geodesy; Signal processing; Optics; Computer science; Physics; Telecommunications; Mathematics; Radar","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":[0.0003287933,0.0003179471,0.0002555784,0.0004765586,0.0001731872,0.0003306343,0.0002751689,0.0003511638,0.0007687968],"category_scores_gemma":[0.001091395,0.0002147454,0.000202819,0.0004544398,0.0002641809,0.000382579,0.0007093688,0.0002280127,0.0002880517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640833,"about_ca_system_score_gemma":0.0003771262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564137,"about_ca_topic_score_gemma":0.002542875,"domain_scores_codex":[0.9997814,0.0000435722,0.000005148339,0.0000582897,0.00006537869,0.00004620435],"domain_scores_gemma":[0.9998085,0.00004767415,0.00002871774,0.00004081031,0.00006266146,0.00001168729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006484931,0.00005763294,0.007484763,0.0001595661,0.00007598202,0.0009465422,0.0003702395,0.06795171,0.513707,0.00735268,0.001809999,0.3994353],"study_design_scores_gemma":[0.0000507016,0.0003588941,0.01486631,0.0000285832,0.00005082214,0.0008545999,0.0001535855,0.7855748,0.1914918,0.00306445,0.003439313,0.00006627072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638031,0.0002110115,0.731884,0.00008613622,0.00005241523,0.00004497856,0.0001074847,0.0007685962,0.003042219],"genre_scores_gemma":[0.8048598,0.00008482733,0.1936896,0.00004258842,0.00001724256,0.00002524409,0.0001053538,0.00004350323,0.001131917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002564137,"threshold_uncertainty_score":0.005098403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826525951349212,"score_gpt":0.2287075086497966,"score_spread":0.2104422491363045,"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."}}