{"id":"W1969079384","doi":"10.1016/j.biosystems.2010.08.001","title":"Towards information processing from nonlinear physical chemistry: A synthetic electrochemical cognitive system","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dissipative system; Computer science; sort; Associative property; Information processing; Nonlinear system; Pattern formation; Mechanism (biology); Self-organization; Cognition; Complex system; Range (aeronautics); Distributive property; Physical system; Artificial intelligence; Biological system; Cognitive science; Theoretical computer science; Distributed computing; Neuroscience; Materials science; Physics; Mathematics; Biology; Psychology","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":[0.0002368589,0.0002022212,0.0001631296,0.0001288135,0.0002293295,0.0008878916,0.0005131062,0.0005538403,0.002403097],"category_scores_gemma":[0.001107016,0.000107405,0.0002200268,0.00009763735,0.0005969853,0.001001827,0.0005822289,0.0005617162,0.0004042708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980686,"about_ca_system_score_gemma":0.0002935186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891822,"about_ca_topic_score_gemma":0.0001518443,"domain_scores_codex":[0.9999243,0.00002315183,0.00000380227,0.00002102997,0.00002028379,0.000007445392],"domain_scores_gemma":[0.999703,0.0001579695,0.00001987036,0.00005092633,0.00004154484,0.0000266229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000183866,0.0002366092,0.0005200414,0.0003218155,0.00005493274,0.0002126764,0.0003099965,0.06116727,0.1892533,0.6814705,0.002137084,0.06413192],"study_design_scores_gemma":[0.00005948994,0.0002515563,0.0004114647,0.00001986271,0.00002518333,0.0002239584,0.0001061966,0.5361824,0.0617426,0.3930309,0.007909139,0.0000372116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2332218,0.0005616221,0.7276195,0.002039069,0.0003408139,0.0001237841,0.000183534,0.0004603053,0.03544944],"genre_scores_gemma":[0.8749638,0.0003761634,0.1184092,0.0002284316,0.00006110596,0.00006814847,0.00008978671,0.00004211447,0.005761234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002403097,"threshold_uncertainty_score":0.008039176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00667747823439543,"score_gpt":0.1927267054004211,"score_spread":0.1860492271660256,"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."}}