{"id":"W2086933291","doi":"10.1121/1.429338","title":"Regularized matched-mode processing for source localization","year":2000,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Replica; Computer science; Grid; Modal; A priori and a posteriori; Underdetermined system; Inverse problem; Algorithm; Inversion (geology); Point source; Signal processing; Acoustics; Mathematics; Mathematical analysis; Physics; Optics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007319661,0.00009913246,0.000230435,0.00001436601,0.0003273817,0.00004183191,0.0006247244,0.00006090967,0.0005727252],"category_scores_gemma":[0.0001081999,0.00004858699,0.0002312927,0.0002739798,0.0005947481,0.0001076817,0.00002188302,0.0002706331,0.000008067769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001425398,"about_ca_system_score_gemma":0.0001365173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001982312,"about_ca_topic_score_gemma":0.000004046915,"domain_scores_codex":[0.9985374,0.0001388642,0.0003620058,0.00008086898,0.0006029062,0.0002779355],"domain_scores_gemma":[0.998803,0.0004855079,0.0002434708,0.0001787848,0.0002012265,0.00008804144],"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":[0.0002862871,0.00003507772,0.000366823,0.00006358806,0.00005693358,2.044272e-7,0.001117651,0.8362918,0.002095325,1.067254e-7,0.006368282,0.1533179],"study_design_scores_gemma":[0.000329085,0.000167193,0.0003760701,0.00004309344,0.000119024,0.00002994397,0.0008410281,0.9925196,0.0005300729,0.001494383,0.00348419,0.00006638348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007881839,0.0001542917,0.9888154,0.002724315,0.0000476508,0.0001717737,0.00001530274,0.000008046764,0.0001813433],"genre_scores_gemma":[0.909694,0.0002637903,0.0879991,0.001141017,0.000198135,3.800545e-7,0.000003139792,0.00000862626,0.0006918057],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9018122,"threshold_uncertainty_score":0.6270939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155036024468692,"score_gpt":0.2645345207437213,"score_spread":0.2490309182968521,"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."}}