{"id":"W3163078847","doi":"","title":"Integration of Exon Predictions Using Multilayer Perceptron and Mixture of Experts Neural Networks","year":2002,"lang":"en","type":"article","venue":"Intelligent Systems in Molecular Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial neural network; Computer science; Multilayer perceptron; Artificial intelligence; Pattern recognition (psychology); Machine learning; Perceptron","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250405,0.0001605329,0.0002695742,0.0001591162,0.00002752522,0.000009417398,0.0001706864,0.0003739769,0.00001593737],"category_scores_gemma":[0.000163559,0.0001342185,0.00008156816,0.0001209658,0.0002997047,0.000003983875,0.0001127063,0.0001277797,8.484935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082859,"about_ca_system_score_gemma":0.00001409787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001819541,"about_ca_topic_score_gemma":0.00003485206,"domain_scores_codex":[0.9985666,0.0001824181,0.0005928024,0.0002548735,0.0001385218,0.0002648131],"domain_scores_gemma":[0.9993172,0.00002535105,0.0001592248,0.0002723286,0.0001430767,0.00008284437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003621454,0.00009155783,0.00266093,0.00007913708,0.00004336387,0.000002227965,0.0003162397,0.004224096,0.9861854,0.00008731655,0.0001094034,0.00616415],"study_design_scores_gemma":[0.0005123253,0.001004621,0.0006258708,0.0001475349,0.00002548559,0.00005746068,0.001257288,0.7487176,0.2458538,0.00002894983,0.001506616,0.0002624532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7190944,0.005286507,0.2748122,0.00002778725,0.000312775,0.0003359796,0.0000171966,0.000004547633,0.0001086281],"genre_scores_gemma":[0.9973763,0.001164983,0.001199597,0.00004082572,0.00008573229,0.00001627303,0.00005847563,0.00001325067,0.00004461258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7444935,"threshold_uncertainty_score":0.547327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312657700942393,"score_gpt":0.3106059631826616,"score_spread":0.2793401930884223,"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."}}