{"id":"W2162601441","doi":"10.1109/icnn.1997.614203","title":"Multiple categorization using fuzzy ART","year":2002,"lang":"en","type":"article","venue":"Proceedings of International Conference on Neural Networks (ICNN'97)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Nortel (Canada); Department of National Defence","funders":"","keywords":"Vigilance (psychology); Categorization; Adaptive resonance theory; Fuzzy logic; Computer science; Artificial intelligence; Property (philosophy); Control theory (sociology); Cognitive psychology; Psychology; Control (management)","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":[0.0009521903,0.0004837799,0.001043259,0.001373351,0.0008188016,0.002039433,0.001744031,0.001462694,0.005917169],"category_scores_gemma":[0.003001631,0.0003807993,0.001757675,0.0009020727,0.001105463,0.002932227,0.001720648,0.001170545,0.0009668307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191442,"about_ca_system_score_gemma":0.000560719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003028209,"about_ca_topic_score_gemma":0.002819403,"domain_scores_codex":[0.9993049,0.0001320993,0.00004739733,0.0002236334,0.0002272058,0.00006479955],"domain_scores_gemma":[0.9993112,0.0003044282,0.00006294005,0.0001553105,0.0001126273,0.0000535875],"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":[0.0002059832,0.00009370497,0.0007722699,0.0002721515,0.0002223055,0.0003071388,0.0004580665,0.2841766,0.01208873,0.2444923,0.004275015,0.4526358],"study_design_scores_gemma":[0.00001083995,0.00002542157,0.0001836374,0.00001747314,0.00002392841,0.00008776662,0.00002216404,0.8934699,0.001286508,0.1023562,0.002492791,0.00002339159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02137476,0.0008164676,0.9652041,0.0003617285,0.0001356203,0.00006046748,0.00005827231,0.0008215107,0.01116718],"genre_scores_gemma":[0.641932,0.0004673772,0.3468664,0.0002398565,0.0001234286,0.0001192042,0.0001461227,0.0001198328,0.009985738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005917169,"threshold_uncertainty_score":0.01979488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06816014477678572,"score_gpt":0.2660999707766675,"score_spread":0.1979398259998817,"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."}}