{"id":"W3088200492","doi":"","title":"МЕТОД ИЗВЛЕЧЕНИЯ ЭТАНА В СМЕСИ С МЕТАНОМ В ПРОМЫСЛОВЫХ УСЛОВИЯХ ПУТЕМ СОВМЕЩЕНИЯ ТРУБКИ РАНКА - ХИЛША И СОПЛА ЛАВАЛЯ","year":2017,"lang":"ru","type":"article","venue":"Территория Нефтегаз","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Waste management; Hydrocarbon; Methane; Process engineering; Environmental science; Engineering; Chemistry; Organic chemistry","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001382207,0.002329474,0.002484608,0.0006064254,0.001789532,0.001574566,0.004589216,0.002131995,0.00422416],"category_scores_gemma":[0.001391596,0.002454441,0.001428309,0.0006955827,0.0006042447,0.001477269,0.002049087,0.00351408,0.008885865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005776745,"about_ca_system_score_gemma":0.0002223754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008443875,"about_ca_topic_score_gemma":0.0001787921,"domain_scores_codex":[0.9895647,0.0001472867,0.002329054,0.002384109,0.001696896,0.003878002],"domain_scores_gemma":[0.990802,0.0004726582,0.0007249727,0.005780615,0.0003217015,0.001898026],"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":[0.0007672511,0.002910015,0.001591564,0.008007967,0.004425344,0.003580396,0.002038705,0.3068425,0.06922017,0.06229788,0.1332939,0.4050244],"study_design_scores_gemma":[0.005278028,0.0008302655,0.004431133,0.001996703,0.0008719319,0.0002399205,0.0002671044,0.1497462,0.01152477,0.006945227,0.8117803,0.006088435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.148848,0.03439945,0.358797,0.03151381,0.06073486,0.01063721,0.002795953,0.01888718,0.3333866],"genre_scores_gemma":[0.9754641,0.001910725,0.003634953,0.0006440819,0.00363562,0.000232552,0.0001248777,0.0006941264,0.01365896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8266162,"threshold_uncertainty_score":0.99951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228923793956901,"score_gpt":0.2163336955021306,"score_spread":0.2040444575625616,"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."}}