{"id":"W1563947972","doi":"","title":"Comparing a linear with a non-linear method for acoustic localization","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Oticon Fonden; Aarhus Universitet","keywords":"Mathematics; Path (computing); Algorithm; Linear elasticity; Global Positioning System; Linear equation; Multilateration; Computer science; Statistics; Mathematical analysis; Telecommunications; Geometry; Engineering; Finite element method; Azimuth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358733,0.0002145797,0.0002533142,0.0003164278,0.00039457,0.0001052433,0.0003162739,0.0001343221,0.0001754237],"category_scores_gemma":[0.0001381261,0.0001877684,0.00004315529,0.0004577426,0.0001137457,0.0001269698,0.000009748037,0.0002385455,0.0001352649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302474,"about_ca_system_score_gemma":0.001534871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1183768,"about_ca_topic_score_gemma":0.3799836,"domain_scores_codex":[0.9981908,0.00002954047,0.0002360222,0.0003659792,0.0003363419,0.0008412764],"domain_scores_gemma":[0.9984222,0.0001719034,0.00005520781,0.0002673792,0.0002719571,0.0008113642],"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":[0.00003883246,0.000009797061,0.006566262,0.00008175936,0.0000296873,0.00006280751,0.0001897617,0.9911258,0.0004063059,0.00001194831,0.0003258934,0.001151168],"study_design_scores_gemma":[0.000902212,0.0002479527,0.005105641,0.00004652586,0.00007618113,0.00004159995,0.0001821938,0.9918845,0.0001266889,0.0004155595,0.0006936685,0.0002773086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01318871,0.00002812564,0.9843982,0.0001857957,0.0001694652,0.0005812233,0.0002836683,0.00004812231,0.001116707],"genre_scores_gemma":[0.7675176,0.000008629884,0.2312661,0.000488223,0.0002198146,0.000005680302,0.0002914641,0.00001938963,0.0001831686],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7543288,"threshold_uncertainty_score":0.887494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700921411290813,"score_gpt":0.2798092524288116,"score_spread":0.2428000383159034,"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."}}