{"id":"W2749056109","doi":"10.22449/1573-160x-2017-3-58-68","title":"Doppler HF Radar Application for the Study of Spatial Structure of Currents in the Black Sea","year":2017,"lang":"en","type":"article","venue":"Physical Oceanography","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Doppler effect; Radar; Remote sensing; Doppler radar; Current (fluid); Shore; Black sea; Range (aeronautics); Ocean current; Environmental science; Oceanography; Geology; Radar configurations and types; Meteorology; Climatology; Geodesy; Geography; Radar imaging; Radar engineering details; Telecommunications; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006502205,0.00007073602,0.0001224418,0.00001662942,0.0001701696,0.00001257991,0.0003551175,0.00001150824,0.00001565251],"category_scores_gemma":[0.000007037992,0.00003470198,0.00006871484,0.0000621738,0.0001951263,0.00005445432,0.00002538164,0.00006141682,0.00000136187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.087385e-7,"about_ca_system_score_gemma":0.000001946947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840657,"about_ca_topic_score_gemma":0.002776362,"domain_scores_codex":[0.9994811,0.00002480458,0.0001045036,0.0001105142,0.0001859391,0.00009309767],"domain_scores_gemma":[0.9995036,0.00009627799,0.0001120422,0.0002678212,0.000007610241,0.00001264768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003398835,0.0001502116,0.9750932,0.00001281775,0.00002863237,6.114074e-8,0.00104809,0.0001884039,0.00001857394,0.00002200439,0.000116467,0.02328757],"study_design_scores_gemma":[0.0003258811,0.0002213801,0.9942825,0.000002108321,0.00003027099,6.632519e-8,0.0005782301,0.002860599,0.00009213017,0.001075776,0.0004891446,0.00004190237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998818,0.00003237463,0.00005579491,0.00006297189,0.0000380373,0.0005163138,0.00009407313,0.000001812372,0.0003805856],"genre_scores_gemma":[0.9998394,0.0000210996,0.00001260922,0.00001797593,0.00008245683,0.000002631676,0.00002085954,0.000001274369,0.000001723886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02324567,"threshold_uncertainty_score":0.4294243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555854263472298,"score_gpt":0.2456103972030343,"score_spread":0.2300518545683113,"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."}}