{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003986357,0.0005088103,0.000276781,0.001242506,0.0006261518,0.0008367068,0.0003629875,0.0005826998,0.02023945],"category_scores_gemma":[0.000144919,0.0002550918,0.000522476,0.0005801609,0.00039767,0.001156661,0.001396057,0.0008505324,0.01109217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009388224,"about_ca_system_score_gemma":0.001239537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896212,"about_ca_topic_score_gemma":0.004335598,"domain_scores_codex":[0.9994799,0.00001910428,0.00001594844,0.00006777267,0.0003609212,0.00005631894],"domain_scores_gemma":[0.9999141,0.00000707249,0.00001128014,0.00001092064,0.00003541442,0.0000211901],"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":[0.0002390714,0.0001441603,0.001115277,0.001227961,0.00002291543,0.0008924687,0.0002903996,0.0007382762,0.3693555,0.04706063,0.04606665,0.5328466],"study_design_scores_gemma":[0.00003780764,0.0002251492,0.001648159,0.0001415119,0.0000249191,0.001481633,0.0001234015,0.001199502,0.1447354,0.002676675,0.847679,0.00002694076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07355745,0.07221844,0.1193739,0.004691646,0.0051853,0.0007085724,0.001451365,0.002834307,0.7199791],"genre_scores_gemma":[0.189911,0.03176489,0.06950489,0.001319079,0.0004347584,0.0002914327,0.001556864,0.0002758632,0.7049412],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02023945,"threshold_uncertainty_score":0.06770766,"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."}}