{"id":"W2376249852","doi":"","title":"Adjustment and Countermeasure of Residence Area Southern Countryside in China","year":2002,"lang":"en","type":"article","venue":"Nongye xiandaihua yanjiu","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Countermeasure; Residence; China; Rural area; Quarter (Canadian coin); Geography; Residential area; Economic growth; Political science; Economics; Demographic economics; Civil engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000345595,0.0001665351,0.0005508447,0.0002317335,0.00005094113,0.00003164554,0.0001809693,0.0001051824,0.00135337],"category_scores_gemma":[0.00005796718,0.0001756378,0.0001100822,0.0001891694,0.0001230484,0.0001660624,0.00004330911,0.0001319301,0.0002652511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008500784,"about_ca_system_score_gemma":0.00001054234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345669,"about_ca_topic_score_gemma":0.0009849311,"domain_scores_codex":[0.9986167,0.00001611246,0.0006725231,0.0003959826,0.00006032912,0.0002383521],"domain_scores_gemma":[0.9992229,0.00004203598,0.0003394524,0.0002887592,0.00002633376,0.00008056924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008202845,0.0002955472,0.9548359,0.0001096137,0.0001829715,0.00002970335,0.005483462,0.001031074,0.00006032707,0.02855774,0.003583152,0.005748502],"study_design_scores_gemma":[0.002564467,0.0001921565,0.8945377,0.0002112014,0.00004205283,0.00002914091,0.000516501,0.06289298,0.00007594471,0.02600124,0.01211732,0.0008192348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703619,0.006913394,0.0004193526,0.001058534,0.0001216937,0.000157057,0.0001963633,0.00001446529,0.02075721],"genre_scores_gemma":[0.9953834,0.001313269,0.00009947375,0.0001616866,0.00006164313,0.00001228693,0.000007217425,0.00001628478,0.00294467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0618619,"threshold_uncertainty_score":0.9995595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945696943698792,"score_gpt":0.1848390121483508,"score_spread":0.1553820427113629,"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."}}