{"id":"W2011821925","doi":"10.1155/2008/863129","title":"Nonlinear Dynamics of Sea Clutter","year":2008,"lang":"en","type":"article","venue":"International Journal of Navigation and Observation","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clutter; Cyclostationary process; Nonlinear system; Context (archaeology); Envelope (radar); Sea state; Radar; Statistical physics; Physics; Computer science; Geology; Remote sensing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001305534,0.00005107014,0.00009683931,0.00007988101,0.00002180599,0.00001532927,0.00008051164,0.00003716059,0.000007342138],"category_scores_gemma":[0.00002075004,0.00004664712,0.00003599343,0.00006551219,0.00002111892,0.0003530852,0.000006154114,0.00008329197,9.33483e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004960023,"about_ca_system_score_gemma":0.00001973776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018121,"about_ca_topic_score_gemma":0.000002531869,"domain_scores_codex":[0.9992774,0.000009912269,0.0003633,0.00003502983,0.000273463,0.00004090526],"domain_scores_gemma":[0.9993631,0.0000243871,0.0001266959,0.00002868588,0.0004305019,0.00002658808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002997003,0.000273335,0.6456314,0.0005406532,0.0008156979,0.0003171836,0.005761218,0.07187153,0.1217394,0.003360413,0.004806857,0.1445826],"study_design_scores_gemma":[0.001360017,0.000110289,0.1395544,0.0005249553,0.00002389615,0.0009698944,0.0002312801,0.8314778,0.01999705,0.0009494551,0.004596121,0.0002048765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799429,0.0001613942,0.01894533,0.000271565,0.000490276,0.00002360504,0.00000647753,0.0000101939,0.0001483276],"genre_scores_gemma":[0.9959517,0.00009869108,0.003652526,0.00004444457,0.0001933817,3.19065e-7,0.00002533962,0.000007241134,0.00002639195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596062,"threshold_uncertainty_score":0.1902215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975533823827814,"score_gpt":0.2410720688092571,"score_spread":0.2213167305709789,"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."}}