{"id":"W1972396204","doi":"10.1145/2330163.2330181","title":"Evolving axonal delay neural networks for robot control","year":2012,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial neural network; Task (project management); Robot; Mechanism (biology); Spiking neural network; Artificial intelligence; Coding (social sciences); Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625082,0.0003517083,0.0003093356,0.0002791021,0.0002218105,0.0005148405,0.0004469363,0.000599409,0.001397199],"category_scores_gemma":[0.001213467,0.0001449131,0.00026189,0.0003290015,0.0005982892,0.0008490604,0.000495458,0.0006889973,0.0001457723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044074,"about_ca_system_score_gemma":0.000316481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495115,"about_ca_topic_score_gemma":0.002223294,"domain_scores_codex":[0.9999318,0.00002174814,0.000003860559,0.00001329456,0.00002255349,0.000006737914],"domain_scores_gemma":[0.9997554,0.0001399961,0.00004276705,0.00001676388,0.00002789325,0.00001709372],"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":[0.00003245699,0.00001011046,0.0004095976,0.00005402603,0.00001851161,0.00006703583,0.00005211732,0.6981615,0.006663301,0.2845694,0.0003418433,0.009620108],"study_design_scores_gemma":[0.000003566348,0.00000834395,0.00006282114,0.000003793549,0.000002605441,0.0000130045,0.000005591455,0.9278381,0.0002534678,0.07101227,0.0007918668,0.000004522575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09097219,0.003457608,0.8933756,0.001098317,0.0001151311,0.00002246386,0.0001281255,0.0001497051,0.01068085],"genre_scores_gemma":[0.9397073,0.002458897,0.05107867,0.00008891048,0.000095309,0.00007635044,0.00007362359,0.00003963337,0.006381333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002495115,"threshold_uncertainty_score":0.007575393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926983788698959,"score_gpt":0.2542692370490348,"score_spread":0.2249993991620452,"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."}}