{"id":"W2359719999","doi":"","title":"Approach to Location Model for Land Price of Dwelling Districts in Cities——For Example, Beijing City","year":2004,"lang":"en","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Beijing; Land price; Land use; Geographically Weighted Regression; Distribution (mathematics); Agricultural economics; Geography; Order (exchange); Business; China; Economics; Civil engineering; Statistics; Finance; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300897,0.001010301,0.001073676,0.001429781,0.0005832668,0.002266702,0.003799916,0.001830158,0.009121284],"category_scores_gemma":[0.002498709,0.0009462882,0.001737294,0.00210384,0.0008791568,0.002714759,0.001489348,0.002149095,0.001556678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003186878,"about_ca_system_score_gemma":0.00142535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05617031,"about_ca_topic_score_gemma":0.03267979,"domain_scores_codex":[0.9988608,0.0003973744,0.00003933231,0.0003925266,0.0001258298,0.0001840867],"domain_scores_gemma":[0.9993019,0.0002754867,0.0001436228,0.00004963688,0.0001700521,0.0000592783],"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":[0.00008666765,0.0000969625,0.01392313,0.00008174941,0.0001373899,0.0005338902,0.0001865947,0.8727872,0.0007705231,0.0992903,0.003388377,0.008717231],"study_design_scores_gemma":[0.0000189548,0.00002012998,0.001483197,0.000005037978,0.00002269458,0.00005920751,0.0000557207,0.9881712,0.00007021644,0.008826455,0.001252807,0.0000143522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715372,0.001018655,0.6988501,0.003676923,0.0002221739,0.000232779,0.004552817,0.0008549768,0.01905445],"genre_scores_gemma":[0.9431182,0.0005475723,0.02225631,0.0001278136,0.0001202095,0.000408314,0.002103728,0.0001275121,0.03119045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05617031,"threshold_uncertainty_score":0.1116867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011611756907699,"score_gpt":0.2296930607849134,"score_spread":0.1285318850941435,"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."}}