{"id":"W7007999199","doi":"","title":"ARTIFICIAL NEURAL NETWORK (ANN) APPLIED TO THE SRC DIAGNOSTIC TOOL","year":2002,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Set (abstract data type); Process (computing); Data set; Component (thermodynamics); Range (aeronautics); Time delay neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004164227,0.0009386851,0.0005434811,0.001708436,0.0004011065,0.001395924,0.001034569,0.0009996664,0.00279225],"category_scores_gemma":[0.01915337,0.0003788551,0.0006494639,0.001943049,0.0003586932,0.001358182,0.0008964438,0.001013843,0.000568012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716875,"about_ca_system_score_gemma":0.001684266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248161,"about_ca_topic_score_gemma":0.009710186,"domain_scores_codex":[0.9967176,0.001662403,0.0002277122,0.0004130623,0.0008401126,0.0001390271],"domain_scores_gemma":[0.9931938,0.004418972,0.0004746971,0.0003019697,0.001544277,0.00006631155],"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":[0.0003777889,0.0003159112,0.01913337,0.0003632749,0.0001614094,0.0004085328,0.000339462,0.719251,0.003232047,0.01152031,0.002940631,0.2419563],"study_design_scores_gemma":[0.00001149805,0.000108284,0.001239962,0.0000271008,0.00001810376,0.00003636684,0.00005114694,0.9951406,0.001045408,0.001073338,0.001233438,0.00001481733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2685364,0.0004722808,0.7050053,0.0007752842,0.0003164813,0.0008422829,0.0005605848,0.002416357,0.02107513],"genre_scores_gemma":[0.6940624,0.000342805,0.2991333,0.0001602402,0.00004089671,0.0004104142,0.0004695873,0.00009411282,0.005286194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248161,"threshold_uncertainty_score":0.02481794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008391436884397736,"score_gpt":0.166883435134598,"score_spread":0.1584919982502003,"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."}}