{"id":"W2090032978","doi":"10.1007/s10700-006-7329-7","title":"Fuzzy Model of Regional Economic Competitiveness in GIS Spatial Analysis: Case Study of Gansu, Western China","year":2006,"lang":"en","type":"article","venue":"Fuzzy Optimization and Decision Making","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"China; Geography; Economic base analysis; Economic geography; Regional science; Fuzzy logic; Order (exchange); Economic growth; Business; Economics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000404182,0.0001640128,0.0007834776,0.001042702,0.00007613956,0.00004339949,0.0001361673,0.00008691932,0.00010132],"category_scores_gemma":[0.00001495249,0.0001843658,0.0001654502,0.0004057732,0.00006043716,0.0002122832,0.00007041895,0.00007215588,0.00000457116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007151577,"about_ca_system_score_gemma":0.00002460934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611113,"about_ca_topic_score_gemma":0.008699728,"domain_scores_codex":[0.9980274,0.00002884726,0.001283661,0.0004535401,0.00006209231,0.0001444201],"domain_scores_gemma":[0.9987726,0.0001086221,0.0007723258,0.0002594893,0.00004741384,0.00003953561],"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":[0.0000517485,0.0001689983,0.2810421,0.000006739529,0.00008893033,0.00001154533,0.0002552764,0.7104881,4.591278e-7,0.007336216,0.000004305241,0.000545621],"study_design_scores_gemma":[0.001062874,0.00005738073,0.07762612,0.0000232058,0.0000685305,0.00001283708,0.0003777312,0.9086286,9.246901e-7,0.01196003,0.000006550339,0.0001752408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7148487,0.000159421,0.2834383,0.00002369202,0.00003589354,0.0001346234,0.0000558715,0.000006029079,0.001297473],"genre_scores_gemma":[0.9928439,0.00008594004,0.006913082,0.00002214977,0.00003187148,0.000009551061,0.00002898922,0.00001447679,0.00005004829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779952,"threshold_uncertainty_score":0.9979906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141016111007617,"score_gpt":0.2576132342873334,"score_spread":0.2262030731772572,"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."}}