{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001390694,0.0002907676,0.0002660943,0.0001923228,0.0001848112,0.0003904934,0.001372904,0.0001230879,0.0001608553],"category_scores_gemma":[0.0000692442,0.0002764095,0.0001236763,0.0005854013,0.00009304764,0.00102475,0.0002693434,0.0003501337,0.00009547173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724657,"about_ca_system_score_gemma":0.00001361521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001581547,"about_ca_topic_score_gemma":0.000003462179,"domain_scores_codex":[0.997884,0.00001179221,0.0005355819,0.0006262138,0.0005452824,0.0003971252],"domain_scores_gemma":[0.9983236,0.0001107751,0.0004440452,0.0002078286,0.0007640169,0.0001497349],"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":[0.000055919,0.0004067676,0.006644711,0.00003060654,0.00007671539,0.000006915762,0.0002525186,0.03925344,0.01134731,0.8771058,0.008503499,0.05631579],"study_design_scores_gemma":[0.0003395932,0.0001001585,0.0003939594,0.00006777433,0.000009271052,0.00002126474,0.00002385553,0.9930165,0.001080302,0.003017555,0.001656526,0.0002732651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5229251,0.0007187461,0.2786558,0.02357562,0.007463503,0.002630878,0.00005683804,0.001592751,0.1623808],"genre_scores_gemma":[0.9938578,0.0001984966,0.003866916,0.000456774,0.0003960105,0.00004021984,0.00001884365,0.00002267968,0.001142269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.953763,"threshold_uncertainty_score":0.9999688,"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."}}