{"id":"W2125592692","doi":"10.1109/tsp.2007.893950","title":"A Vector-Hydrophone's Minimal Composition for Finite Estimation-Variance in Direction-Finding Near/Without a Reflecting Boundary","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydrophone; Acoustics; Boundary (topology); Underwater; Underwater acoustics; Sound pressure; Geology; Mathematics; Physics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008459807,0.0007078747,0.0005984771,0.0003542388,0.0004842452,0.0005301203,0.0005788055,0.000470894,0.002053438],"category_scores_gemma":[0.004929307,0.0004026149,0.0002741437,0.0003352306,0.0008829479,0.0008843485,0.001201591,0.0007822296,0.0008005873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871282,"about_ca_system_score_gemma":0.0008955123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007919088,"about_ca_topic_score_gemma":0.0009917406,"domain_scores_codex":[0.9990948,0.0002950456,0.00005559945,0.0001861367,0.0003001058,0.00006817705],"domain_scores_gemma":[0.9987141,0.0005678912,0.0001252226,0.0002113656,0.0002880635,0.00009328339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001331932,0.0001433481,0.002712501,0.0004055953,0.00005661602,0.0005089993,0.0003515967,0.1302285,0.386353,0.1376972,0.003326472,0.3368841],"study_design_scores_gemma":[0.00008486034,0.0005477779,0.002118551,0.00006817043,0.00003917757,0.0008660218,0.0001173703,0.8090855,0.1146303,0.06586518,0.006496607,0.00008046247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02282587,0.00004014526,0.9751713,0.00005896773,0.00001739917,0.00002240612,0.00005681671,0.0001806019,0.001626478],"genre_scores_gemma":[0.4040191,0.00007787689,0.5937102,0.00004278601,0.00002936705,0.0001063782,0.0002392837,0.0001279603,0.001646925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002053438,"threshold_uncertainty_score":0.006869435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446443621182637,"score_gpt":0.3268000907117069,"score_spread":0.2823356544998805,"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."}}