{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00223285,0.0004756834,0.0003095519,0.003202383,0.0004330738,0.00226958,0.0006249775,0.0004343149,0.001336781],"category_scores_gemma":[0.008682693,0.0002571273,0.0005790556,0.003764421,0.0006303777,0.002344225,0.001106873,0.0003770467,0.0002096599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003194124,"about_ca_system_score_gemma":0.001095946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02935702,"about_ca_topic_score_gemma":0.02935083,"domain_scores_codex":[0.9982722,0.0006389272,0.0001266013,0.0002388266,0.0005222193,0.0002012131],"domain_scores_gemma":[0.9969463,0.0009168882,0.0006576601,0.0002216979,0.001119753,0.0001376595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004013547,0.0001002358,0.7510407,0.0003056256,0.0001544957,0.0006114544,0.002525808,0.1138416,0.002072786,0.02467292,0.001845851,0.1024272],"study_design_scores_gemma":[0.00001609601,0.0001651099,0.7437413,0.0001070185,0.0001155957,0.0001983362,0.006321758,0.2346432,0.002842024,0.006188951,0.005588034,0.0000726423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648783,0.0003971385,0.02579632,0.0001205623,0.00001676409,0.00009676278,0.0006069046,0.00002846164,0.008058856],"genre_scores_gemma":[0.9937677,0.0001606392,0.004987408,0.000003419852,0.000005293559,0.00002876575,0.0002678185,0.000006795943,0.0007721529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935702,"threshold_uncertainty_score":0.05837226,"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."}}