{"id":"W4413950641","doi":"10.55186/2413046x_2025_10_8_203","title":"THE CURRENT STATE OF ASSESSMENT ZONING OF TERRITORIES: RUSSIAN AND FOREIGN EXPERIENCE","year":2025,"lang":"en","type":"article","venue":"Moscow Economic Journal","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoning; Current (fluid); State (computer science); Political science; Environmental planning; Geography; Geology; Computer science; Law; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003367099,0.00007484165,0.0001299926,0.00002543303,0.0001998145,0.00002383066,0.0002354329,0.00001936997,0.00007591772],"category_scores_gemma":[0.0000144352,0.00005607428,0.00003510244,0.00003797204,0.0006989377,0.0001421689,0.0002458006,0.0001872246,0.000001444486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003669519,"about_ca_system_score_gemma":0.00003134741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009212182,"about_ca_topic_score_gemma":0.0000974925,"domain_scores_codex":[0.999258,0.00003468138,0.0003407525,0.0001301565,0.00006542921,0.0001709391],"domain_scores_gemma":[0.9995506,0.00006062223,0.0001868443,0.000162253,0.000001692808,0.00003798453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001829529,0.00004840607,0.6525189,0.0000154976,0.00001911175,0.000001230411,0.000524622,0.0008992715,0.0006327429,0.006858307,0.00005612937,0.3384075],"study_design_scores_gemma":[0.0004738969,0.0001833606,0.8560945,0.00004977134,0.00001417206,0.00001622482,0.002003898,0.001535527,0.005783714,0.113132,0.02057924,0.0001337269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948233,0.0002703952,0.001159217,0.0003329103,0.0001915684,0.00009786373,0.000003636629,0.000004043193,0.003117058],"genre_scores_gemma":[0.9989195,0.0004010246,0.0005655181,0.00001044854,0.000008919385,0.000007887744,2.468431e-7,0.000003086988,0.00008337736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3382738,"threshold_uncertainty_score":0.2575265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003737968345268206,"score_gpt":0.2510096124065924,"score_spread":0.2472716440613242,"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."}}