{"id":"W2158340798","doi":"10.1109/fuzzy.1992.258643","title":"Linguistic interpretation of self-organizing maps","year":2003,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-organizing map; Interpretation (philosophy); Artificial intelligence; Cluster analysis; Simple (philosophy); Computer science; Natural language processing; Self-organization; Fuzzy logic; Linguistics; Epistemology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001478447,0.0005358579,0.0003831033,0.002596747,0.001062992,0.004108439,0.000934483,0.001099006,0.006887472],"category_scores_gemma":[0.004296984,0.0002133765,0.0005961549,0.001615537,0.002950003,0.002688706,0.001215677,0.001154767,0.0008839082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009725241,"about_ca_system_score_gemma":0.0005317453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007283832,"about_ca_topic_score_gemma":0.0005284655,"domain_scores_codex":[0.9989243,0.0004692021,0.0000941109,0.0001599022,0.0002729931,0.00007954417],"domain_scores_gemma":[0.9989377,0.0004676571,0.0001139184,0.0001188874,0.0002936623,0.00006815918],"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":[0.00001210755,0.000008757461,0.0000748623,0.00008205698,0.00001076712,0.0001730748,0.0006938292,0.00243262,0.0005666966,0.9816301,0.002297835,0.01201718],"study_design_scores_gemma":[0.000006535767,0.000008564598,0.0001166165,0.00005608336,0.000008042795,0.0001189122,0.0003014881,0.01212715,0.0003364224,0.9621219,0.02478437,0.00001388371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01995526,0.005424857,0.8056498,0.008765633,0.002081185,0.0001100725,0.0009235863,0.0006542123,0.1564355],"genre_scores_gemma":[0.6552667,0.003291992,0.3135533,0.002181566,0.001734918,0.0003791385,0.0006874746,0.0001981137,0.02270675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006887472,"threshold_uncertainty_score":0.02304089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009976004443669199,"score_gpt":0.2219909164887715,"score_spread":0.2120149120451023,"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."}}