{"id":"W1499078733","doi":"10.1109/icassp.2005.1416189","title":"Fast passive source localization in range-rate with tilted line arrays","year":2006,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Range (aeronautics); Computer science; Phase (matter); Line (geometry); Differential phase; Acoustics; Bearing (navigation); Physics; Algorithm; Artificial intelligence; Mathematics; Telecommunications; Engineering; Geometry","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":[0.0004857266,0.0005806357,0.0004818164,0.0003337423,0.0001497404,0.0004223343,0.0006870355,0.0005448753,0.0009286468],"category_scores_gemma":[0.001576582,0.000425375,0.0003177926,0.000506931,0.0003792108,0.001274321,0.0007329649,0.0005805967,0.0008829134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038996,"about_ca_system_score_gemma":0.0001897389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006911077,"about_ca_topic_score_gemma":0.0008745306,"domain_scores_codex":[0.9995456,0.0001220557,0.0000163636,0.0000927229,0.0001869649,0.00003632093],"domain_scores_gemma":[0.9994556,0.0002341547,0.0001187039,0.00007967419,0.00009588762,0.00001591711],"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":[0.0005687192,0.00007954572,0.001749205,0.0001799762,0.0000798062,0.0002844296,0.0002984915,0.2624526,0.3632971,0.01126206,0.001639299,0.3581087],"study_design_scores_gemma":[0.0000596754,0.0002092557,0.0008442703,0.00001874558,0.00002412229,0.0002989096,0.00002392211,0.9226197,0.06886408,0.004302199,0.002688686,0.00004636365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01092198,0.00008285333,0.9878728,0.00003643898,0.00001749866,0.00001071863,0.00002178138,0.0004416241,0.0005942439],"genre_scores_gemma":[0.2861893,0.0003466484,0.7104386,0.0001048469,0.00008694734,0.00008697163,0.0001387714,0.00009495953,0.002512987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009286468,"threshold_uncertainty_score":0.003106594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127707770143092,"score_gpt":0.2122138614426135,"score_spread":0.2009367837411826,"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."}}