{"id":"W4320150978","doi":"10.55365/1923.x2022.20.72","title":"Estimation of Transport and Functional Convenience of Assessment Areas During the Regulatory Monetary Valuation of Land Plots In Cities","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Normative; Land use; Economics; Agricultural land; Incentive; Natural resource economics; Business; Microeconomics; Ecology; Finance","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":[0.0003457636,0.00003557255,0.0001487112,0.00001367271,0.00002631606,2.807064e-7,0.00004176526,0.00001236417,0.00004323491],"category_scores_gemma":[0.000005024868,0.00003227084,0.00001845495,0.00004117292,0.0002639452,0.00005513422,0.00005361678,0.000037429,4.200499e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487983,"about_ca_system_score_gemma":0.000009233355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009040075,"about_ca_topic_score_gemma":0.00002058964,"domain_scores_codex":[0.9995528,0.00002075326,0.0002559209,0.00008883378,0.00004409426,0.00003760176],"domain_scores_gemma":[0.9996817,0.00002258684,0.0001986792,0.00009119037,0.000001854083,0.000004036307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001949114,0.00007313181,0.8945459,0.001424226,0.00000613817,2.295456e-7,0.0001486581,0.08079596,0.0002259439,0.006916792,0.000001536197,0.01584198],"study_design_scores_gemma":[0.0001266373,0.00005071313,0.9908538,0.000101185,0.000007264747,0.000002321667,0.00006187119,0.005567706,0.0003191922,0.002783728,0.00009755593,0.00002800774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946252,0.004993232,0.00002885818,0.0001102333,0.000007620603,0.0001666122,0.00001494786,6.130311e-7,0.00005275527],"genre_scores_gemma":[0.9704809,0.02928095,0.0001966725,0.00001145443,5.976373e-7,0.00001660732,0.000003940979,0.000001448861,0.000007418311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0963079,"threshold_uncertainty_score":0.1315966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897140664868618,"score_gpt":0.1943934239636143,"score_spread":0.1854220173149282,"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."}}