{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005778257,0.0003829052,0.0003993229,0.00175363,0.001034464,0.0019128,0.0004427818,0.0007477141,0.01455172],"category_scores_gemma":[0.001556512,0.0005042059,0.0003529245,0.001647614,0.0009825905,0.00105632,0.0007927472,0.001108441,0.005065691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007620589,"about_ca_system_score_gemma":0.001385266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510599,"about_ca_topic_score_gemma":0.00488942,"domain_scores_codex":[0.9991238,0.00008707,0.00005032262,0.0001685175,0.000490487,0.00007977742],"domain_scores_gemma":[0.999162,0.000202742,0.0001275897,0.0001818139,0.0002746666,0.0000512265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002980899,0.0001557647,0.003053047,0.0008382736,0.00005090439,0.001680932,0.001197652,0.002683585,0.3724992,0.1153143,0.008645068,0.4935833],"study_design_scores_gemma":[0.00005643753,0.0003056972,0.008482241,0.000230783,0.0001427447,0.003028964,0.0010137,0.0044465,0.303458,0.0335936,0.6450264,0.0002149005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2169121,0.05899453,0.2713985,0.003853429,0.003967394,0.0003769615,0.00242117,0.001509633,0.4405663],"genre_scores_gemma":[0.7333503,0.0243913,0.172885,0.0003147974,0.0005218835,0.0004224117,0.0008505465,0.000362786,0.06690105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01455172,"threshold_uncertainty_score":0.04868037,"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."}}