{"id":"W7131999601","doi":"","title":"Russia military dimension in the Arctic region.","year":2017,"lang":"lt","type":"dissertation","venue":"General Jonas Žemaitis Military Academy of Lithuania","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Militarization; Geopolitics; Arctic; Context (archaeology); Prosperity; International relations; Annexation; Disarmament","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.002425336,0.001179458,0.001832837,0.0004745106,0.003262696,0.0000405559,0.002874315,0.001697763,0.0002300386],"category_scores_gemma":[0.0007453514,0.0009078502,0.0009322808,0.000691096,0.002879683,0.0007408254,0.0002699903,0.002333645,0.0001461521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564072,"about_ca_system_score_gemma":0.0005257089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09801037,"about_ca_topic_score_gemma":0.02071469,"domain_scores_codex":[0.9905397,0.002117988,0.002075465,0.001577965,0.001981862,0.001707079],"domain_scores_gemma":[0.996866,0.0007660477,0.0008999438,0.0009375857,0.000163176,0.0003672211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001825685,0.001596756,0.03563995,0.004712165,0.001798955,0.0009285209,0.5314886,0.000256126,0.0007479911,0.1025944,0.287701,0.03070985],"study_design_scores_gemma":[0.001511207,0.0004497707,0.8100742,0.003061371,0.0006876404,0.0001099969,0.05310332,0.0001716994,0.0001092951,0.03632592,0.09264399,0.001751656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803845,0.1065668,0.000003448105,0.06243853,0.002139941,0.00236196,0.0002812677,0.00007247078,0.02229052],"genre_scores_gemma":[0.917032,0.05313226,0.0005228177,0.002661299,0.002489216,0.0001685772,0.0002739362,0.00009407643,0.02362579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7744342,"threshold_uncertainty_score":0.999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802481188177177,"score_gpt":0.3308226538118786,"score_spread":0.2927978419301068,"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."}}