{"id":"W2301108683","doi":"10.4018/ijcini.2015100101","title":"Chaotic Liquid State Machine","year":2015,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Chaotic; Classifier (UML); Signature (topology); Artificial intelligence; Class (philosophy); Set (abstract data type); Finite-state machine; Connection (principal bundle); Pattern recognition (psychology); Machine learning; Algorithm; Programming language","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":[0.0001985433,0.0001036461,0.000129891,0.0001422829,0.000019766,0.00004836054,0.0001785479,0.00002230501,0.000007287446],"category_scores_gemma":[0.0002302591,0.00008245862,0.00004180741,0.00007221127,0.00004532854,0.000580814,0.0000501478,0.0003076776,0.00001082401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630872,"about_ca_system_score_gemma":0.00001965477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.475298e-7,"about_ca_topic_score_gemma":9.770874e-7,"domain_scores_codex":[0.9990958,0.000009964029,0.0004719693,0.00003131835,0.0002813876,0.0001095894],"domain_scores_gemma":[0.9988317,0.0001684675,0.000163617,0.00002721577,0.0007033045,0.0001057073],"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":[0.001687226,0.00007848645,0.000366548,0.0001130495,0.0006922227,0.0003701957,0.0176483,0.1264516,0.001928543,0.001243077,0.0002929651,0.8491278],"study_design_scores_gemma":[0.002013322,0.001694055,0.0005202043,0.001816463,0.00008488676,0.004491868,0.00738895,0.6522637,0.3126003,0.01152152,0.004624076,0.000980731],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507777,0.001696416,0.1450556,0.00004937525,0.001588948,0.00005182923,0.00001065883,0.00002664419,0.0007427819],"genre_scores_gemma":[0.9977801,0.0005785374,0.001290651,0.0001897647,0.0001222149,4.006227e-7,0.000003565561,0.000006842019,0.00002791398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8481471,"threshold_uncertainty_score":0.3362565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324992972675511,"score_gpt":0.2902400229690372,"score_spread":0.2669900932422821,"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."}}