{"id":"W1896036576","doi":"","title":"Arctic Security - An Equation with Multiple Unknowns","year":2013,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The arctic; Style (visual arts); Margin (machine learning); Political science; China; Arctic; Geography; Development economics; Law; Computer science; Economics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002989233,0.001086968,0.0009555902,0.001259081,0.004410136,0.006516206,0.001029255,0.002901819,0.02439084],"category_scores_gemma":[0.009736849,0.0006479446,0.001033803,0.001896491,0.008016119,0.01161591,0.005518069,0.006366764,0.004973285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005482295,"about_ca_system_score_gemma":0.004375607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02457442,"about_ca_topic_score_gemma":0.0153623,"domain_scores_codex":[0.9975309,0.001155696,0.0001167197,0.0005330872,0.0004238852,0.0002396754],"domain_scores_gemma":[0.9971348,0.0015917,0.0002304177,0.0002768997,0.0005860004,0.0001802185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001106563,0.000007620206,0.0004337836,0.0000439904,0.000009481167,0.00009178912,0.0004084135,0.0008926026,0.00001941745,0.9779685,0.01401836,0.006095087],"study_design_scores_gemma":[0.000009694464,0.00001246749,0.0003231866,0.0002072689,0.00001606324,0.0002212632,0.0005183467,0.001477594,0.00004539704,0.8716844,0.1254606,0.00002377187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01362189,0.02407478,0.05575228,0.1394107,0.00657113,0.00006847364,0.001340827,0.0001665695,0.7589933],"genre_scores_gemma":[0.6314349,0.0396922,0.03858871,0.01883883,0.009015312,0.0002420088,0.001254434,0.0003732538,0.2605604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02457442,"threshold_uncertainty_score":0.08159548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07103832125042714,"score_gpt":0.3290429783376442,"score_spread":0.2580046570872171,"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."}}