{"id":"W2150023615","doi":"10.1109/acssc.1997.679099","title":"Chaos, sea clutter, and neural networks","year":2002,"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":"McMaster University","funders":"","keywords":"Clutter; Aperiodic graph; Chaotic; Computer science; Stochastic process; Nonlinear system; Process (computing); Statistical physics; Artificial intelligence; Radar; Mathematics; Physics; Telecommunications; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916927,0.0002036975,0.0002067556,0.0005103392,0.0002163754,0.000745545,0.0001853825,0.0005287656,0.0009146786],"category_scores_gemma":[0.00158936,0.0001012355,0.00007521069,0.0006223414,0.000925732,0.0008453727,0.0003760241,0.0004078879,0.00008243803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006677664,"about_ca_system_score_gemma":0.0002210755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637957,"about_ca_topic_score_gemma":0.002077665,"domain_scores_codex":[0.9999101,0.00002968802,0.000004352479,0.00001848175,0.00002467004,0.00001256967],"domain_scores_gemma":[0.9994854,0.0003434238,0.00008654023,0.0000183432,0.00004422741,0.00002217014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001262021,0.00004680905,0.00787158,0.0002076096,0.00007577056,0.0002185038,0.0002258101,0.3441236,0.003828625,0.5432557,0.004938713,0.09508114],"study_design_scores_gemma":[0.00001032914,0.00002164918,0.003313283,0.00002426835,0.000009657876,0.00007715002,0.00006502764,0.4504187,0.0005542871,0.5410528,0.004437337,0.00001544022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6300824,0.08164955,0.1964816,0.01854819,0.0007074443,0.00003464869,0.0003583162,0.0004180425,0.07171984],"genre_scores_gemma":[0.9830546,0.007364132,0.004728161,0.000181437,0.0002390619,0.00001402341,0.00004789553,0.00001117881,0.004359537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002637957,"threshold_uncertainty_score":0.005245268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007933739102424254,"score_gpt":0.1866298812286264,"score_spread":0.1786961421262021,"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."}}