{"id":"W2123701148","doi":"10.1109/ijcnn.2000.857806","title":"Bias learning, knowledge sharing","year":2000,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Affine transformation; Manifold (fluid mechanics); Task (project management); Point (geometry); Class (philosophy); Artificial intelligence; Space (punctuation); Range (aeronautics); Domain (mathematical analysis); Function (biology); Field (mathematics); Machine learning; Variance (accounting); Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005407802,0.00004176673,0.00003827487,0.00001384339,0.0001050837,0.00009199226,0.0004209483,0.00001416331,0.000681315],"category_scores_gemma":[0.000001708887,0.00003390746,0.00002286611,0.0002126035,0.000008045819,0.0001272996,0.0000777617,0.00007151876,0.001472066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004427277,"about_ca_system_score_gemma":0.000005329121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009421153,"about_ca_topic_score_gemma":0.000005735796,"domain_scores_codex":[0.9995938,0.000007856933,0.00006497421,0.0001760854,0.00004043604,0.0001168512],"domain_scores_gemma":[0.9996982,0.00002170204,0.000009499049,0.0002171827,0.00001036095,0.00004307621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.332781e-7,0.00003704634,0.000806979,0.000001397832,0.000002486348,0.000001940536,0.0001643959,0.001402804,0.00008053566,0.2460671,0.009950617,0.7414843],"study_design_scores_gemma":[0.00006118242,0.00001584986,0.001341435,0.000003942266,7.71165e-7,0.000007821936,0.000002616423,0.3329398,0.0004170802,0.003075298,0.6620414,0.00009274951],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1164024,0.0001399931,0.1142228,0.001346535,0.00007222663,0.0000914021,6.267223e-8,0.0006652735,0.7670593],"genre_scores_gemma":[0.8651283,0.00002522409,0.004763547,0.00020373,0.00007576594,0.000009496445,4.814627e-7,0.000003475965,0.12979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7487258,"threshold_uncertainty_score":0.9993054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186844870085207,"score_gpt":0.2760101978923276,"score_spread":0.2341417491914755,"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."}}