{"id":"W1533076956","doi":"10.1007/3-540-45486-1_25","title":"Neural ARX Models and PAC Learning","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Stability (learning theory); Artificial neural network; Artificial intelligence; Sigmoid function; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000624167,0.0005045434,0.00047148,0.0005918849,0.0004021335,0.0007685404,0.001904638,0.0002471918,0.00002754157],"category_scores_gemma":[0.00004159997,0.0004515854,0.0000953728,0.0003790025,0.0004996313,0.000691005,0.0009841258,0.001638027,0.00002752976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007674338,"about_ca_system_score_gemma":0.0001745281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004597586,"about_ca_topic_score_gemma":0.00001229976,"domain_scores_codex":[0.9966503,0.00005991463,0.0003648355,0.001520519,0.0007494795,0.0006549506],"domain_scores_gemma":[0.9984037,0.000322343,0.0001780866,0.0008012104,0.00008260933,0.0002120718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001738412,0.000005632012,0.00002017153,0.0000100183,0.000003304654,0.00007091952,0.0004765763,0.3045144,0.000006527065,0.008616619,0.000003599821,0.6862705],"study_design_scores_gemma":[0.0001452263,0.0001288407,0.00005444627,0.0001253353,0.000003644134,0.0001703567,7.610252e-8,0.8482506,0.00002640842,0.1492512,0.001396143,0.0004477248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002278039,0.000804938,0.9879537,0.001016093,0.0006856155,0.0001662564,0.000001250465,0.0002779921,0.008866403],"genre_scores_gemma":[0.5821436,0.0003014084,0.4118391,0.002073641,0.0009872111,0.000008214035,0.000007078677,0.00007849345,0.002561236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6858228,"threshold_uncertainty_score":0.9997936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419589239973255,"score_gpt":0.2377439660025375,"score_spread":0.2235480736028049,"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."}}