{"id":"W4391058311","doi":"10.55708/js0211001","title":"Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Research and Sciences","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Québec Science (Canada); Université du Québec à Montréal","funders":"","keywords":"State (computer science); Representation (politics); Computer science; Exploratory research; Artificial intelligence; Political science; Algorithm; Sociology","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":[0.002782634,0.00006309272,0.0001075344,0.0006035104,0.0001543323,0.0002878048,0.0005816653,0.0000100457,0.000001028925],"category_scores_gemma":[0.0000855634,0.00004793186,0.00001684938,0.002141176,0.00007805055,0.0008881362,0.0001129305,0.0002527427,0.000001534594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082978,"about_ca_system_score_gemma":0.00009925605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002395704,"about_ca_topic_score_gemma":0.00004052364,"domain_scores_codex":[0.9985424,0.000109621,0.0002433461,0.0001972885,0.0006111714,0.0002962269],"domain_scores_gemma":[0.9992574,0.0002637447,0.00005572968,0.0001484361,0.0001286473,0.0001460368],"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":[0.0000503704,0.0002479626,0.01476022,0.00002124344,0.000008049436,0.0003004787,0.00283301,0.9487824,0.01286891,0.0004305612,0.0003272143,0.01936954],"study_design_scores_gemma":[0.0002517603,0.001589184,0.02786824,0.0000241556,5.159061e-7,0.0000083765,0.0002793111,0.9685466,0.0005720138,0.0007471049,0.00004340239,0.00006936105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905945,0.0001036231,0.008385646,0.0006691957,0.00009248174,0.0001198021,7.069244e-7,0.00002833276,0.000005684456],"genre_scores_gemma":[0.9986708,0.00006416602,0.001186605,0.00001089241,0.00004234939,0.000009898515,2.550071e-7,0.000003635865,0.00001136569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01976414,"threshold_uncertainty_score":0.2775308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09638182046164694,"score_gpt":0.3843647491174313,"score_spread":0.2879829286557843,"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."}}