{"id":"W1896470573","doi":"10.1109/nrc.2002.999740","title":"Chaotic behaviour and non-linear prediction of airborne radar sea clutter data","year":2003,"lang":"en","type":"article","venue":"","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Defence Research and Development Canada","funders":"","keywords":"Clutter; Radar; Remote sensing; Chaotic; Computer science; Radar horizon; Meteorology; Radar imaging; Radar engineering details; Geology; Artificial intelligence; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001009552,0.00007041363,0.0001074781,0.00002307422,0.00003777496,0.00001033366,0.00006706842,0.00002176335,0.0004020339],"category_scores_gemma":[0.000003497922,0.00006018413,0.00001729616,0.00005598278,0.00002139916,0.0001442258,0.00003612183,0.00004715542,0.000007453055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004609976,"about_ca_system_score_gemma":0.00002535562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155755,"about_ca_topic_score_gemma":0.000006063183,"domain_scores_codex":[0.9994982,0.00001857804,0.0001465579,0.0001644316,0.00007794738,0.00009421731],"domain_scores_gemma":[0.9996017,0.0000119894,0.00004567686,0.0002689793,0.00003528556,0.00003634354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001045452,0.0001911689,0.9829936,0.00001908646,0.00006457083,5.302179e-7,0.0001708978,0.00004996057,0.001120602,0.005562387,0.001990291,0.007826472],"study_design_scores_gemma":[0.007611086,0.0002907386,0.7583796,0.00007312989,0.0004010475,0.000005629061,0.0009408916,0.2087654,0.0128562,0.00231388,0.007778495,0.0005838841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890834,0.00005197549,0.2034494,0.0001692884,0.000166511,0.0002576206,0.0003348036,0.00002314591,0.006463861],"genre_scores_gemma":[0.9980943,0.000002522765,0.001032716,0.0000217573,0.0001245475,0.000002626686,0.0003123192,0.000007859461,0.0004013485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224614,"threshold_uncertainty_score":0.440199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596599793696638,"score_gpt":0.2326454712965803,"score_spread":0.2166794733596139,"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."}}