{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088285,0.0002083681,0.000363531,0.0002410992,0.0003324461,0.0007335603,0.0006551916,0.0006893888,0.00301587],"category_scores_gemma":[0.0007604202,0.0001529737,0.0002875309,0.0002484929,0.0005333056,0.0007531863,0.0006244268,0.0004974175,0.0006503264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004675693,"about_ca_system_score_gemma":0.000412827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006949884,"about_ca_topic_score_gemma":0.0005579194,"domain_scores_codex":[0.9998474,0.00003173823,0.00001172946,0.00003440622,0.00004765519,0.00002704549],"domain_scores_gemma":[0.9997682,0.0000769171,0.00003236057,0.0000403383,0.00005661508,0.00002551951],"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":[0.0005085106,0.0002277659,0.002494301,0.0003186523,0.000173367,0.0007523409,0.0003264252,0.3626983,0.1106382,0.3009518,0.009294129,0.2116164],"study_design_scores_gemma":[0.00004169998,0.0001065546,0.000205811,0.00001183776,0.00002018417,0.00009406175,0.00001266306,0.954627,0.01774783,0.01806706,0.009042028,0.00002329071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1108762,0.0005422492,0.8547241,0.001139652,0.0005015526,0.0001452039,0.0002531041,0.002764283,0.02905361],"genre_scores_gemma":[0.9107674,0.000216643,0.07963941,0.0002145859,0.0000464331,0.0001389304,0.0001193565,0.00004921775,0.008807941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00301587,"threshold_uncertainty_score":0.0100891,"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."}}