{"id":"W1225038328","doi":"","title":"Актуальные вопросы добычи, переработки и транспортировки нефти в Канаде","year":2015,"lang":"ru","type":"article","venue":"Вестник МГИМО Университета","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Russian federation; Pipeline transport; Production (economics); Business; Oil refinery; Oil reserves; Natural resource economics; Petroleum industry; Petroleum; Economy; Engineering; Economics; Economic policy; Waste management; Environmental engineering","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002191944,0.00175322,0.001838726,0.0008881148,0.0008690244,0.001054646,0.003134572,0.001904395,0.02144509],"category_scores_gemma":[0.001836173,0.001737312,0.0009022796,0.00285297,0.001103255,0.001046714,0.002231319,0.003296262,0.03757878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333659,"about_ca_system_score_gemma":0.003736745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405956,"about_ca_topic_score_gemma":0.002678803,"domain_scores_codex":[0.9867468,0.001106603,0.00204203,0.00237246,0.003692149,0.004039971],"domain_scores_gemma":[0.9905314,0.0007328418,0.0005609767,0.00336307,0.001475007,0.003336688],"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":[0.001213985,0.001428673,0.003890919,0.0002785939,0.0008369053,0.001481001,0.002777464,0.001326335,0.001196946,0.03177084,0.6806768,0.2731216],"study_design_scores_gemma":[0.004435476,0.001231308,0.001409135,0.0003316417,0.0002452327,0.0002322598,0.003605247,0.002115098,0.005058002,0.006460617,0.9727163,0.002159676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1596986,0.01542635,0.0004057696,0.02025975,0.00945304,0.001974669,0.0006605522,0.001374623,0.7907467],"genre_scores_gemma":[0.7124119,0.0008953974,0.0002620461,0.001403909,0.005525691,0.000218846,0.0003045535,0.0003954486,0.2785822],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5527133,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536376482338729,"score_gpt":0.329236357108435,"score_spread":0.1755987088745621,"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."}}