{"id":"W2000782589","doi":"10.1121/1.1802755","title":"Environmental inversion and matched-field tracking with a surface ship and an L-shaped receiver array","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Naval Research Laboratory; Office of Naval Research; Defence Research and Development Canada","keywords":"Array processing; Broadband; Acoustics; Maxima; Array gain; Sensor array; Tracking (education); Computer science; Range (aeronautics); Data processing; Signal processing; QUIET; Inversion (geology); Geology; Optics; Physics; Antenna array; Telecommunications; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004426939,0.00009339974,0.0001659569,0.000009948863,0.0002033642,0.00003366325,0.0002684649,0.00004783333,0.0001215069],"category_scores_gemma":[0.00003113828,0.00004442076,0.00005371086,0.00009196341,0.0007101707,0.0001694046,0.00003351349,0.0003808293,0.000001996791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317819,"about_ca_system_score_gemma":0.00004532923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003756259,"about_ca_topic_score_gemma":0.00001450732,"domain_scores_codex":[0.9989894,0.0001098581,0.0001651248,0.00008850585,0.0004536816,0.0001934493],"domain_scores_gemma":[0.9991922,0.0003869103,0.0001407239,0.0001215977,0.00002405044,0.0001345432],"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":[0.001979899,0.0002933924,0.1458556,0.0001481157,0.0004458852,0.00001834753,0.01807559,0.4209242,0.3509752,7.634615e-7,0.000896376,0.06038661],"study_design_scores_gemma":[0.003350096,0.006280138,0.2241981,0.000311652,0.0006886347,0.0007714662,0.03644508,0.7033017,0.01950062,0.004303436,0.0002740726,0.0005750777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838248,0.0001692875,0.1130604,0.002779762,0.00002556683,0.00008352067,0.00000910561,0.000003302993,0.0000442426],"genre_scores_gemma":[0.96727,0.0006551148,0.03138517,0.0006307854,0.0000417781,2.97731e-8,5.417721e-7,0.000003825591,0.00001282202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3314745,"threshold_uncertainty_score":0.2616654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697496723803723,"score_gpt":0.2352873154727732,"score_spread":0.218312348234736,"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."}}