{"id":"W3201849703","doi":"10.1016/j.neunet.2021.09.021","title":"Extreme neural machines","year":2021,"lang":"en","type":"article","venue":"Neural Networks","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Recurrent neural network; Artificial neural network; Key (lock); Path (computing); Learning rule; Variety (cybernetics); Machine learning; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005191908,0.0004380495,0.0006980032,0.0004695712,0.0003879931,0.001108583,0.0006717649,0.001117644,0.00665275],"category_scores_gemma":[0.002544286,0.0002096491,0.0003478087,0.0005630495,0.0007779099,0.001166742,0.001121602,0.001594162,0.002530389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994073,"about_ca_system_score_gemma":0.0002832529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002933762,"about_ca_topic_score_gemma":0.0003278567,"domain_scores_codex":[0.99964,0.00009720901,0.00001686405,0.00009422612,0.000123714,0.00002791584],"domain_scores_gemma":[0.9994358,0.0002166464,0.00004829168,0.000129051,0.0001331344,0.00003708603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000915491,0.00005904679,0.000905932,0.0001903859,0.00008675864,0.0001339536,0.00006164455,0.2645063,0.004329226,0.3467052,0.0181169,0.3648131],"study_design_scores_gemma":[0.000008309315,0.00003935577,0.0003982837,0.00003046561,0.00001555116,0.0001354567,0.0000134622,0.7155976,0.00242343,0.2630106,0.01831028,0.00001733666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01359812,0.002004008,0.9440016,0.0007497309,0.0005803488,0.00004102669,0.000161201,0.0007258077,0.03813816],"genre_scores_gemma":[0.6213817,0.003176256,0.2890677,0.0008296201,0.001185843,0.0002130218,0.0008575851,0.000371658,0.08291663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00665275,"threshold_uncertainty_score":0.02225566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339251587772457,"score_gpt":0.2298934268172355,"score_spread":0.206500910939511,"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."}}