{"id":"W3158631454","doi":"","title":"Арктический совет: председательство сша","year":2016,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000916227,0.00193127,0.001781893,0.00087829,0.000657298,0.0001924585,0.002191061,0.00244784,0.0059829],"category_scores_gemma":[0.0004340187,0.001600566,0.0008829605,0.001207599,0.001402593,0.00137451,0.0005420981,0.001720938,0.009918272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006083127,"about_ca_system_score_gemma":0.0003305837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685659,"about_ca_topic_score_gemma":0.0002925331,"domain_scores_codex":[0.9916536,0.0003228706,0.001924134,0.002071634,0.0009999997,0.003027793],"domain_scores_gemma":[0.9946427,0.0008136145,0.0003699658,0.003024751,0.0003214141,0.0008275451],"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":[0.0004876516,0.0006903943,0.009722251,0.0008261263,0.002481492,0.001306343,0.003450783,0.0005374979,0.04044876,0.4331464,0.174679,0.3322233],"study_design_scores_gemma":[0.01415616,0.002270748,0.04401172,0.004652491,0.001590179,0.001187373,0.003049328,0.00194637,0.03645825,0.1436856,0.7354369,0.01155493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4136184,0.03909876,0.009291105,0.01136882,0.0101261,0.002175961,0.001007232,0.007988811,0.5053248],"genre_scores_gemma":[0.9557836,0.005511876,0.002966879,0.0002663207,0.001458395,0.0002084869,0.00005706786,0.0004400267,0.03330734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5607579,"threshold_uncertainty_score":0.9993431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681137807669797,"score_gpt":0.2053494961951334,"score_spread":0.1956683583874636,"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."}}