{"id":"W2142357109","doi":"","title":"Visualization and evolution of the scientific structure of fuzzy sets research in Spain","year":2009,"lang":"en","type":"article","venue":"Institutional Repository of the University of Granada (University of Granada)","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Field (mathematics); China; Fuzzy set; Regional science; Data science; Data mining; Computer science; Geography; Artificial intelligence; Mathematics; Pure mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0014243,0.0002431561,0.0002993819,0.0197372,0.0004640478,0.003172678,0.0002590649,0.0003543137,0.004680794],"category_scores_gemma":[0.005978456,0.0001500061,0.0003349258,0.01871533,0.0003811767,0.001074998,0.001165338,0.0002587408,0.0004332861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002086187,"about_ca_system_score_gemma":0.0013249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199472,"about_ca_topic_score_gemma":0.01447387,"domain_scores_codex":[0.9994824,0.0001522005,0.00004709707,0.00007095526,0.0001606847,0.00008662255],"domain_scores_gemma":[0.9966887,0.001379363,0.0006355043,0.000194939,0.0009376743,0.0001638295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001229122,0.0001248547,0.2506152,0.001992006,0.0003008678,0.0009550967,0.02852051,0.02061496,0.01108521,0.0549794,0.03500106,0.5945817],"study_design_scores_gemma":[0.0001050812,0.00008282362,0.7918258,0.001008167,0.0001668866,0.0003722056,0.01603288,0.02243048,0.003917661,0.01627321,0.1476629,0.0001219049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8814564,0.007289453,0.006624646,0.002649202,0.0001683422,0.0000680037,0.009352397,0.001350497,0.09104108],"genre_scores_gemma":[0.9828308,0.001602778,0.00819703,0.00004277647,0.00005659444,0.00003742199,0.001953875,0.00009462269,0.005184102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9802628,"threshold_uncertainty_score":0.03966218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693861963927805,"score_gpt":0.2154943954302077,"score_spread":0.1985557757909296,"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."}}