{"id":"W7117993352","doi":"10.5281/zenodo.18114483","title":"Geographies of Toxic Persistence: Environmental Degradation in Russia's Industrial Regions","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrialisation; Environmental degradation; Geospatial analysis; Natural resource; Corporate governance; Environmental governance; Environmental impact assessment; Natural (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000569162,0.00007991262,0.0001672346,0.002246666,0.0009315632,0.001589267,0.0002594908,0.0002436929,0.001558143],"category_scores_gemma":[0.002219329,0.00009176916,0.0001602326,0.003628337,0.001439036,0.0007993684,0.002070494,0.0003292362,0.00007465355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813908,"about_ca_system_score_gemma":0.000950875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02692182,"about_ca_topic_score_gemma":0.03078466,"domain_scores_codex":[0.999487,0.0002232279,0.00004640392,0.00006377096,0.0001052775,0.00007429348],"domain_scores_gemma":[0.9978933,0.0006424503,0.001011224,0.000130626,0.0002355171,0.00008687848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000685281,0.00003482054,0.9017795,0.0002072727,0.00005725545,0.0008157055,0.05279959,0.002555768,0.001068472,0.01361147,0.001010431,0.02599123],"study_design_scores_gemma":[0.000001566161,0.00003295215,0.8902377,0.0001357552,0.00002497165,0.0003334873,0.0963347,0.0009248222,0.0003662925,0.001540879,0.01005126,0.00001546414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924896,0.000475767,0.0004102416,0.0003340718,0.000004805884,0.00000505054,0.0002213805,0.000006352425,0.006052744],"genre_scores_gemma":[0.999611,0.000165276,0.00005999189,0.00000489431,0.000001991898,0.000001687766,0.00004502411,8.747718e-7,0.0001092606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692182,"threshold_uncertainty_score":0.05353022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07702222979166017,"score_gpt":0.2636994732253808,"score_spread":0.1866772434337206,"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."}}