{"id":"W4313266890","doi":"10.1145/3567600.3568151","title":"Harbour Porpoise Localization System Using Compact Acoustic Sensor Arrays","year":2022,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Human echolocation; Porpoise; Acoustics; Computer science; Lookup table; Preprocessor; Multilateration; Harbour; Noise (video); SIGNAL (programming language); Computation; Grid; Sonar signal processing; Table (database); Sonar; Signal processing; Electronic engineering; Telecommunications; Artificial intelligence; Geology; Engineering; Algorithm; Physics; Radar","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":[0.0001617471,0.0002186003,0.0002966498,0.0002283277,0.0001615312,0.0003370441,0.0003500906,0.00027668,0.001394355],"category_scores_gemma":[0.0003739075,0.0001281593,0.00008726335,0.0002387861,0.0001459037,0.000607369,0.0004650975,0.0001732308,0.000576833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651809,"about_ca_system_score_gemma":0.0002786299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104809,"about_ca_topic_score_gemma":0.001324767,"domain_scores_codex":[0.9998895,0.00001754851,0.000006153372,0.00002771901,0.00005068971,0.00000838465],"domain_scores_gemma":[0.9998078,0.00004072327,0.00003138566,0.00003353225,0.00007552019,0.0000111238],"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":[0.0005321387,0.00006303338,0.003690909,0.0002226276,0.00003945397,0.0002930443,0.0002349628,0.06270646,0.660866,0.002286232,0.001730204,0.2673349],"study_design_scores_gemma":[0.00009326913,0.001086385,0.01012988,0.00004192378,0.00005678289,0.0008229577,0.0002321835,0.7281181,0.242684,0.001572663,0.01509715,0.00006474681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761951,0.0001815529,0.8181078,0.0001350926,0.00005853804,0.00005440067,0.00014791,0.002641322,0.002478335],"genre_scores_gemma":[0.7568568,0.000160178,0.2387532,0.0000723702,0.00002744595,0.00008730346,0.0002533805,0.00004085412,0.003748429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001394355,"threshold_uncertainty_score":0.0046646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083252055975586,"score_gpt":0.2554660508899947,"score_spread":0.2146335303302389,"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."}}