{"id":"W4390949097","doi":"10.17645/pag.7714","title":"Arctic Regional Governance: Actors and Transformations","year":2024,"lang":"en","type":"article","venue":"Politics and Governance","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; Arctic; Corporate governance; Context (archaeology); Political science; Indigenous; China; Geography; Environmental governance; Thematic analysis; The arctic; Environmental planning; Sociology; Business; Politics; Social science; Qualitative research; Oceanography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005103359,0.0001961336,0.0002677581,0.001225978,0.003575361,0.008967494,0.0008394751,0.001292195,0.002869081],"category_scores_gemma":[0.003518055,0.0001607897,0.0002756423,0.002982804,0.008325548,0.005434806,0.004538942,0.001633276,0.0003149642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007613471,"about_ca_system_score_gemma":0.007068701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933133,"about_ca_topic_score_gemma":0.02160038,"domain_scores_codex":[0.9947726,0.003438058,0.0001780781,0.0004031822,0.0005532764,0.0006547465],"domain_scores_gemma":[0.9983323,0.0008154543,0.000259065,0.0001175643,0.000210481,0.0002650839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001030141,0.000009001408,0.002536407,0.000109279,0.00000923573,0.0001750929,0.03178482,0.0009071635,0.0001195068,0.9455631,0.004396282,0.0143798],"study_design_scores_gemma":[0.000006062889,0.00003216424,0.009381759,0.0008958123,0.00001578996,0.0002219015,0.1323863,0.001204604,0.0002513557,0.1492869,0.7062856,0.00003166842],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2509371,0.03225872,0.01317313,0.08765688,0.001626496,0.00007970738,0.0002299482,0.0001073971,0.6139306],"genre_scores_gemma":[0.9748052,0.01181439,0.001684765,0.001205405,0.0003422379,0.00003625764,0.00007881904,0.00004192348,0.009991008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01933133,"threshold_uncertainty_score":0.0552398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229561020333369,"score_gpt":0.3028096633482412,"score_spread":0.2805140531449075,"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."}}