{"id":"W2128636513","doi":"10.5539/mas.v2n4p52","title":"Knowledge Extraction from Trained Neural Network Scour Models","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Bombay; Universiti Sains Malaysia","keywords":"Spurious relationship; Artificial neural network; Computer science; Variable (mathematics); Variety (cybernetics); Artificial intelligence; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034163,0.0001735148,0.0001612297,0.00003688706,0.000888147,0.00002473009,0.0005708563,0.00008613154,0.0006221372],"category_scores_gemma":[0.000004871177,0.0001593775,0.00003753979,0.0005555761,0.001249528,0.000720478,0.00008914695,0.0002057611,0.0003800777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000787447,"about_ca_system_score_gemma":0.00005723605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007966606,"about_ca_topic_score_gemma":0.00009786015,"domain_scores_codex":[0.9981007,0.00001456602,0.0002094125,0.0006721027,0.0004539319,0.0005492852],"domain_scores_gemma":[0.9994217,0.00004128998,0.00006277817,0.0002839722,0.000009899175,0.0001803243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009426779,0.0002197699,0.004691248,0.000003425981,0.000006829466,0.00002365608,0.00464015,0.6748621,0.3027044,0.000740636,0.0006643406,0.01134911],"study_design_scores_gemma":[0.000399445,0.00002967393,0.02171657,0.000003843666,0.00001282858,0.00001457238,0.00002524605,0.9446337,0.006643877,0.0253583,0.0008600214,0.0003019341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241345,0.00009410418,0.1060968,0.00009998264,0.0001703231,0.0001733713,0.000002893678,0.0001238114,0.06910425],"genre_scores_gemma":[0.9971023,0.00002126401,0.00208824,0.0003418371,0.00009970214,0.0000317442,0.000006585167,0.00001013492,0.0002982228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2960605,"threshold_uncertainty_score":0.6830999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881521641011345,"score_gpt":0.2420886074770915,"score_spread":0.213273391066978,"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."}}