{"id":"W4285340837","doi":"10.1109/iccicc53683.2021.9811304","title":"Synchrony-Based State Representation for Classification by Liquid State Machines","year":2021,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"State (computer science); Representation (politics); Computer science; Artificial intelligence; Machine learning; Pattern recognition (psychology); Algorithm","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":[0.0001716048,0.0001091858,0.0001190363,0.00003565253,0.0001638175,0.0002368727,0.0003365949,0.00002675612,0.00001224432],"category_scores_gemma":[0.00003736361,0.00009161916,0.00007283984,0.0003413399,0.00001820074,0.0002774533,0.0001143556,0.00007203816,0.000007988431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680014,"about_ca_system_score_gemma":0.00008243888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002792517,"about_ca_topic_score_gemma":0.00002178122,"domain_scores_codex":[0.9987795,0.00008027886,0.000249716,0.0004484105,0.0001914122,0.0002506834],"domain_scores_gemma":[0.9989885,0.0002133213,0.0001049519,0.000422305,0.000196797,0.00007413699],"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":[0.0001985144,0.0004331698,0.001373074,0.0002159871,0.00009140086,0.00005831698,0.000460116,0.1426886,0.286187,0.008195234,0.1346803,0.4254184],"study_design_scores_gemma":[0.0003183894,0.00007893923,0.0002512967,0.0000132579,0.000002400922,0.000002807066,0.000006441166,0.9362336,0.05731813,0.001192811,0.004453966,0.0001279133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05075413,0.0001492974,0.9419873,0.00609851,0.0003142995,0.0001941745,0.000006771028,0.0001788097,0.0003167226],"genre_scores_gemma":[0.8977413,0.00004833975,0.09616952,0.001440025,0.0001184026,0.00004995742,0.0001143139,0.00002114458,0.004296974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8469872,"threshold_uncertainty_score":0.3736121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697880950678396,"score_gpt":0.2876861296577492,"score_spread":0.2607073201509653,"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."}}