{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006602102,0.001519879,0.00100491,0.002730738,0.0004759857,0.001624566,0.001321423,0.001198709,0.002549013],"category_scores_gemma":[0.006250733,0.0005350081,0.001201433,0.002103336,0.0003656766,0.00154664,0.001058112,0.00105895,0.0009148729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124781,"about_ca_system_score_gemma":0.001281688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225468,"about_ca_topic_score_gemma":0.01159243,"domain_scores_codex":[0.9995856,0.0000648825,0.00004113965,0.0001080368,0.0001406875,0.00005971137],"domain_scores_gemma":[0.9984367,0.0009329686,0.0001006866,0.0001932453,0.0003034384,0.00003294976],"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":[0.0003082363,0.000209612,0.005140033,0.0003668774,0.0002151337,0.0009704396,0.0002001143,0.5975286,0.005277878,0.003835567,0.003557351,0.3823901],"study_design_scores_gemma":[0.00001319556,0.00004301979,0.0008500943,0.00005960291,0.00005347118,0.00005080058,0.00005039655,0.9874302,0.00375829,0.006111268,0.001559849,0.00001983119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1622749,0.001618823,0.8154657,0.0008694683,0.0001599574,0.0003753378,0.003863638,0.004423317,0.01094893],"genre_scores_gemma":[0.8326125,0.001062707,0.1554467,0.000140204,0.00007892411,0.000286677,0.005976389,0.0001029736,0.004292898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01225468,"threshold_uncertainty_score":0.02436674,"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."}}