{"id":"W7117450542","doi":"10.19181/demis.2025.5.4.7","title":"Clustering of Regions of the Far East by the Level of Health Determinants","year":2025,"lang":"","type":"article","venue":"DEMIS Demographic research","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Multivariate statistics; Fuzzy clustering; Silhouette; Fuzzy logic; Population; Relevance (law)","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":[],"consensus_categories":[],"category_scores_codex":[0.0008497208,0.0002907548,0.0004908866,0.003229378,0.0005967569,0.001449489,0.0003261813,0.0002787808,0.001633144],"category_scores_gemma":[0.001906664,0.000134704,0.0005279243,0.003011466,0.0005048455,0.0003154336,0.0008997645,0.0001764059,0.000326065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515007,"about_ca_system_score_gemma":0.001186916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070365,"about_ca_topic_score_gemma":0.03008092,"domain_scores_codex":[0.9994388,0.0001973512,0.00004217256,0.0001305074,0.00008673003,0.0001043771],"domain_scores_gemma":[0.9991087,0.0002369831,0.0002127141,0.0001266887,0.0002508424,0.00006405628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006357768,0.0001368706,0.8996336,0.0002914643,0.0005693407,0.0005531619,0.006191446,0.01878573,0.00673337,0.005719027,0.001453083,0.05929713],"study_design_scores_gemma":[0.00001242933,0.00007139276,0.9735917,0.00006178169,0.0001453368,0.0002287217,0.00733326,0.01221087,0.0009836087,0.002193881,0.003125495,0.00004158469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916388,0.0005836567,0.004548469,0.00008578439,0.000009130765,0.00006376925,0.0005618604,0.00002662124,0.002481871],"genre_scores_gemma":[0.9954793,0.0001731089,0.003120052,0.00001361102,0.00000469865,0.00003164602,0.0005623393,0.000005985471,0.0006091725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03070365,"threshold_uncertainty_score":0.06104982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.339491252123711,"score_gpt":0.4890230175728997,"score_spread":0.1495317654491887,"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."}}