{"id":"W593453307","doi":"","title":"The Yearbook of Polar Law","year":2009,"lang":"en","type":"article","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Geopolitics; Political science; Indigenous; Framing (construction); Geography; Politics; Oceanography; Law; Geology; 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":[0.002417051,0.001349381,0.0009025356,0.004103815,0.006613551,0.01398002,0.001471375,0.00421337,0.1152779],"category_scores_gemma":[0.008900537,0.0006053172,0.0005620726,0.006044588,0.003652185,0.008275878,0.004750129,0.005304008,0.06318983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00516997,"about_ca_system_score_gemma":0.008952403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488344,"about_ca_topic_score_gemma":0.01659694,"domain_scores_codex":[0.9973768,0.0006539668,0.0001895387,0.0003973794,0.001103173,0.0002791879],"domain_scores_gemma":[0.9969862,0.0009910815,0.0002029633,0.0003723961,0.001101176,0.000346213],"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":[0.00001267571,0.00001118197,0.0001235981,0.0001306081,0.000001845087,0.000051547,0.0004742216,0.00007388198,0.00003883165,0.08827893,0.8612001,0.04960258],"study_design_scores_gemma":[8.191551e-7,0.000001338089,0.00004738877,0.0001450796,4.060727e-7,0.00002107684,0.0001403258,0.000008649944,0.000008810662,0.003946828,0.9956773,0.000002021497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005518675,0.1328662,0.001773903,0.05560044,0.03735432,0.00007755169,0.001573457,0.0002776954,0.7699245],"genre_scores_gemma":[0.0134026,0.0909663,0.001361138,0.01361817,0.01768294,0.0001746869,0.001455968,0.0004492403,0.8608889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1152779,"threshold_uncertainty_score":0.3856431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994380157807874,"score_gpt":0.322023301749581,"score_spread":0.3020795001715023,"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."}}