{"id":"W3049597378","doi":"10.1088/1755-1315/539/1/012053","title":"Legal-economic regime of the Russian Arctic region in the international legal environment: evolution and development pathways","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Legislation; Political science; Harmonization; China; International law; International trade; Geography; Economy; Business; Law; Economics; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003002476,0.00009245903,0.0000932166,0.00002563243,0.0007304945,0.00008643054,0.0003714177,0.00003003303,0.00004608535],"category_scores_gemma":[0.00003058538,0.00006042638,0.0000173896,0.00007081372,0.00314938,0.0004971569,0.0002340614,0.0001021931,0.000007861074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000965528,"about_ca_system_score_gemma":0.0001664206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316249,"about_ca_topic_score_gemma":0.0009596557,"domain_scores_codex":[0.9989854,0.00006160515,0.0001597514,0.0002464152,0.0003235594,0.0002232465],"domain_scores_gemma":[0.9996971,0.00002405458,0.00008863005,0.00009992027,0.000001834626,0.00008846729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001012136,0.00008306545,0.1281493,0.0000287352,0.00002568634,0.00001260597,0.1564317,0.00006293195,0.00553806,0.6898786,0.00009781392,0.01959031],"study_design_scores_gemma":[0.0002431665,0.00007294144,0.8831367,0.00002724019,0.000006277821,0.00001732564,0.03820715,0.0001207535,0.001631195,0.0007929466,0.07557616,0.0001681194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602153,0.0001028393,0.00003894958,0.02795568,0.00008226173,0.0001891222,0.000006532658,0.000006072922,0.01140327],"genre_scores_gemma":[0.9988032,0.0005293845,0.0001136131,0.0002877797,0.00004532353,0.000007703406,9.233132e-7,0.000002384537,0.0002096835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7549875,"threshold_uncertainty_score":0.9995635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420768172517613,"score_gpt":0.2163701349718742,"score_spread":0.1921624532466981,"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."}}