{"id":"W2556640145","doi":"10.3233/jifs-169172","title":"Double fuzzy C-means model and its application in the technology innovation of China","year":2016,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Family and Community Medicine, University of Toronto; National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Fuzzy logic; Data mining; Computer science; Class (philosophy); Fuzzy clustering; Cluster analysis; Index (typography); Cluster (spacecraft); Artificial intelligence; Set (abstract data type); Fuzzy set; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00207135,0.0008317354,0.0008563432,0.002857333,0.001051879,0.002005591,0.001648799,0.001204588,0.001257721],"category_scores_gemma":[0.004166656,0.0003228475,0.001113921,0.00360743,0.0007826631,0.00146015,0.001173506,0.0008251003,0.0001789066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720871,"about_ca_system_score_gemma":0.003522943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04593819,"about_ca_topic_score_gemma":0.02070732,"domain_scores_codex":[0.99853,0.0002797046,0.0001048968,0.000392504,0.0005332609,0.0001595981],"domain_scores_gemma":[0.9988714,0.0003801802,0.0001274706,0.00008332798,0.000473079,0.00006441378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001923875,0.00008673058,0.009515127,0.0003389803,0.0001777845,0.0002942571,0.000500071,0.7810181,0.003154728,0.03988022,0.002013647,0.1628279],"study_design_scores_gemma":[0.000008511547,0.00003055037,0.001551111,0.0000182729,0.00001859928,0.00004485611,0.00006645216,0.9890681,0.0007070788,0.007242389,0.001216735,0.00002721774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1327386,0.001400361,0.8558472,0.0006198524,0.0001795945,0.0001933294,0.0002806745,0.0003371636,0.008403211],"genre_scores_gemma":[0.8413211,0.0008679706,0.1535414,0.00007271962,0.00005282722,0.0002361983,0.0002767304,0.00003913061,0.003591903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04593819,"threshold_uncertainty_score":0.09134161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422056838834272,"score_gpt":0.3118910415095601,"score_spread":0.2776704731212174,"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."}}