{"id":"W3154232124","doi":"10.1109/ieeeconf38699.2020.9389049","title":"Course-Aided Measurement-to-Track Association for Target Tracking With Compact HF Radar","year":2020,"lang":"en","type":"article","venue":"Global Oceans 2020: Singapore – U.S. Gulf Coast","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Key Research and Development Program of China","keywords":"Computer science; Azimuth; Radar tracker; Clutter; Radar; Artificial intelligence; Track (disk drive); Tracking (education); Kinematics; Association (psychology); Feature (linguistics); Mathematics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001086063,0.0005579239,0.0006951579,0.00005364252,0.0005568945,0.0008031054,0.00140242,0.0002296574,0.0000464207],"category_scores_gemma":[0.0005233441,0.0005191179,0.0002437271,0.001407093,0.00006042255,0.0007639216,0.0002046302,0.0004243627,0.0000904928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005867854,"about_ca_system_score_gemma":0.0003882703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006331158,"about_ca_topic_score_gemma":0.0001542597,"domain_scores_codex":[0.9949256,0.0001891374,0.0007376143,0.001206119,0.001827803,0.001113681],"domain_scores_gemma":[0.9968452,0.0002013723,0.0005268562,0.0007253736,0.0009483429,0.0007528572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005032634,0.0004296015,0.0439295,0.000103347,0.0004051441,0.0001656737,0.001242897,0.02866925,0.0008381783,0.004155781,0.899084,0.02047333],"study_design_scores_gemma":[0.008109505,0.002370272,0.04731442,0.0007844706,0.0004598391,0.0001984681,0.0007502984,0.09530687,0.002308149,0.002648686,0.8363385,0.003410575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008901044,0.0005036094,0.9588361,0.02429903,0.001757095,0.001263636,0.001058968,0.001244361,0.002136176],"genre_scores_gemma":[0.9294877,0.00001628805,0.0646618,0.004548654,0.0009111329,0.0000101835,0.0002469096,0.00005654165,0.00006078977],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9205866,"threshold_uncertainty_score":0.9997261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772768359535177,"score_gpt":0.2517757500773943,"score_spread":0.2240480664820426,"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."}}