{"id":"W2019378936","doi":"10.5539/ass.v6n1p24","title":"Essential Factor Analysis to the Site Selection for the Administration Center of the Minority Area","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site selection; Backwardness; Center (category theory); Selection (genetic algorithm); Urbanization; China; Administration (probate law); Regional science; Geography; Economic growth; Political science; Archaeology; Economics; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211232,0.00004702449,0.00005765206,0.00003687494,0.0003040556,0.00005214773,0.0002857707,0.00002712576,0.00001140691],"category_scores_gemma":[0.00007587181,0.00002483443,0.00009114205,0.001465223,0.00008315247,0.00005620337,0.00002036328,0.0000905395,0.00000137556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278791,"about_ca_system_score_gemma":0.00002734382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002464794,"about_ca_topic_score_gemma":0.0003341315,"domain_scores_codex":[0.9993758,0.000007929633,0.00008234322,0.00009092714,0.0002729906,0.0001699717],"domain_scores_gemma":[0.9997564,0.00003336823,0.0000143115,0.0001107826,0.00005554399,0.00002960298],"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":[0.0001040421,0.0002223907,0.006983807,0.00005733098,0.0003246685,4.950708e-7,0.007368119,0.05381249,0.2033325,0.00924727,0.006210303,0.7123366],"study_design_scores_gemma":[0.00008753119,0.0000574649,0.911494,0.000003529788,0.00006204901,6.378435e-7,0.00009226914,0.07145069,0.01184288,0.000169669,0.004639295,0.0001000281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6863956,0.00005439896,0.2737259,0.02102476,0.0007321238,0.001464852,0.0001365024,0.0002255156,0.01624033],"genre_scores_gemma":[0.9997615,0.000001417622,0.00003210094,0.00002821613,0.0001110912,0.0000089436,8.437251e-7,0.000001688682,0.00005422549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9045101,"threshold_uncertainty_score":0.2338581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065041155158467,"score_gpt":0.2756108331928842,"score_spread":0.2649604216412995,"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."}}