{"id":"W4414182174","doi":"10.3390/land14091880","title":"Research on the Priority of County-Level Territorial Space Consolidation: Form–Flow Synthesis Analysis Based on Principal Component Analysis","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Zhejiang University; National Natural Science Foundation of China","keywords":"Principal component analysis; Space (punctuation); Consolidation (business); Matching (statistics); Identification (biology); Corporate governance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001297132,0.000102835,0.0002879084,0.0002265161,0.0002438051,0.0000565972,0.0003144113,0.00006874294,0.0009227397],"category_scores_gemma":[0.0000569792,0.00006049051,0.0001563092,0.001720017,0.00004381677,0.00005213096,0.00009349883,0.0001271216,0.00004955293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332799,"about_ca_system_score_gemma":0.00002346543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006305423,"about_ca_topic_score_gemma":0.02470645,"domain_scores_codex":[0.9983705,0.0002646561,0.0002208862,0.0002740845,0.0006575,0.0002123782],"domain_scores_gemma":[0.9983526,0.000973895,0.00008209862,0.0005134935,0.00002833861,0.0000495852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001725057,0.0001589839,0.9421608,0.00002767078,0.0006654484,0.000002164743,0.00009313987,0.05600781,0.0000602106,0.0001344338,0.0003625794,0.000154196],"study_design_scores_gemma":[0.0002917419,0.00005076211,0.7194727,0.00003714309,0.0008648196,6.354301e-8,0.00007530699,0.2737826,0.001512662,0.00007303902,0.003739919,0.00009927148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912741,0.000004731923,0.0003613141,0.001300159,0.0001306722,0.0001932789,0.0001368949,0.00001128612,0.006587631],"genre_scores_gemma":[0.9995881,0.000006088163,0.0001093449,0.00008330929,0.0000700501,0.00002848615,0.00002599709,0.000003320891,0.00008528705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226881,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517613007924512,"score_gpt":0.2986721731040148,"score_spread":0.2634960430247697,"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."}}