{"id":"W4320185307","doi":"10.1353/asp.2023.0001","title":"Asian States and the Arctic Ocean","year":2023,"lang":"en","type":"article","venue":"Asia policy","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; World population; Population growth; Geography; China; Agricultural economics; Natural resource economics; Economics; Demography","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":[0.0004179956,0.0004003398,0.0001512053,0.0005432967,0.002141264,0.00256196,0.0002957382,0.0005178593,0.03417668],"category_scores_gemma":[0.0007775175,0.0001016386,0.0002187331,0.001638085,0.0007073393,0.001401645,0.002219547,0.001143111,0.005484183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007237466,"about_ca_system_score_gemma":0.004082719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03197123,"about_ca_topic_score_gemma":0.04492785,"domain_scores_codex":[0.9996494,0.0000738377,0.00002104591,0.00004232708,0.00006855174,0.0001448623],"domain_scores_gemma":[0.9994019,0.00004065355,0.0001125625,0.00003416268,0.0001553929,0.000255342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001598864,0.00007978122,0.06696284,0.0008283226,0.00006962943,0.001905936,0.01097598,0.0001764247,0.0008491642,0.1077235,0.5377797,0.2724888],"study_design_scores_gemma":[0.000006949692,0.00001487015,0.02079342,0.0005622912,0.00002019285,0.0003508396,0.008178195,0.00002899883,0.0000896245,0.002927958,0.9670144,0.00001222163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03975958,0.03549984,0.0005563413,0.04522698,0.006986236,0.00004979338,0.003076412,0.0001213363,0.8687235],"genre_scores_gemma":[0.5439793,0.1061909,0.00209295,0.03046743,0.003716184,0.0002019497,0.004879647,0.0001758371,0.3082959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03417668,"threshold_uncertainty_score":0.1143324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193737532331484,"score_gpt":0.328924808088259,"score_spread":0.3095510548551106,"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."}}