{"id":"W28686319","doi":"10.1002/nbm.3772","title":"Экономические и организационные вопросы освоения нефтегазового потенциала Восточной Сибири и Дальнего Востока","year":2012,"lang":"en","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Petroleum industry; Fossil fuel; Production (economics); Petroleum; Oil production; Business; Environmental science; Petroleum engineering; Geology; Waste management; Economics; Engineering; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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","research_integrity","insufficient_payload"],"category_scores_codex":[0.001746108,0.001685466,0.001642395,0.000921545,0.001221125,0.0005198793,0.002455501,0.00150062,0.01267896],"category_scores_gemma":[0.0008271846,0.001618726,0.001003183,0.002499994,0.0009310869,0.001987591,0.001392773,0.002749446,0.01284256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007939221,"about_ca_system_score_gemma":0.000574399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056807,"about_ca_topic_score_gemma":0.0007153802,"domain_scores_codex":[0.9878461,0.0007980043,0.001839564,0.001855195,0.002669225,0.004991911],"domain_scores_gemma":[0.9925153,0.0009093292,0.0005590754,0.002898732,0.0007030449,0.002414581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001181513,0.003012193,0.06324645,0.0003178286,0.00151136,0.0005617789,0.006101234,0.0005751193,0.01723554,0.1433819,0.3120256,0.4508495],"study_design_scores_gemma":[0.002831082,0.0004004287,0.02519085,0.0002087774,0.0002279605,0.0003611705,0.001086068,0.0002263161,0.01673467,0.00174693,0.9485589,0.002426902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5259401,0.005909103,0.0002889958,0.004054603,0.003916753,0.001376025,0.0001574501,0.001830732,0.4565262],"genre_scores_gemma":[0.8957363,0.000461343,0.0009992672,0.001148391,0.00488114,0.0004845288,0.0002978869,0.0004325521,0.09555862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6365333,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693305847511374,"score_gpt":0.2786555859856147,"score_spread":0.2417225275105009,"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."}}