{"id":"W2607256309","doi":"","title":"NEW TECHNOLOGY FOR OIL AND GAS FROM TAR SANDS (TECHNOLOGY N-SOLV)","year":2014,"lang":"ru","type":"article","venue":"SibFU Digital Repository (Siberian Federal University)","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Petroleum engineering; Waste management; Fossil fuel; tar (computing); Environmental science; Geology; Engineering; Asphalt; Computer science; Archaeology; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.00004295096,0.0006615082,0.0007785942,0.0006471976,0.0007982254,0.0005255517,0.0006741771,0.001030482,0.0001133142],"category_scores_gemma":[0.00008326276,0.0007905154,0.0002511486,0.0004926748,0.000726618,0.0009326274,0.000611991,0.0003911439,0.0001162988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339146,"about_ca_system_score_gemma":0.00009887779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008441508,"about_ca_topic_score_gemma":0.0004861555,"domain_scores_codex":[0.9971771,0.00005459916,0.0004424592,0.001208943,0.0002432608,0.0008736752],"domain_scores_gemma":[0.9982822,0.0001537384,0.000285556,0.0007561506,0.00005746169,0.0004648824],"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":[0.001423183,0.0004734079,0.02540107,0.0002056404,0.001017394,0.0007508525,0.000960673,0.00009303722,0.01771485,0.02990475,0.0032884,0.9187667],"study_design_scores_gemma":[0.003989093,0.001261251,0.0007708684,0.0002096546,0.0002503494,0.00008571162,0.003521246,0.0001213973,0.01604638,0.01326402,0.9593039,0.001176182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7887354,0.001341599,0.0007718361,0.00207397,0.001355498,0.0001789592,0.0001347425,0.0005692106,0.2048388],"genre_scores_gemma":[0.7786003,0.0003869375,0.002076783,0.00008927803,0.0006613297,0.000002746272,0.0000981312,0.0001020309,0.2179825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9560155,"threshold_uncertainty_score":0.9994546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004180296913097173,"score_gpt":0.1639669600761242,"score_spread":0.159786663163027,"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."}}