{"id":"W1996916951","doi":"10.4028/www.scientific.net/amm.540.287","title":"Applied Technology for Tight Oil in Engineering of Oil Manufacturing in the Western Canada Sedimentary Basin","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tight oil; Oil shale; Petroleum engineering; Unconventional oil; Shale oil; Geology; Fossil fuel; Tight gas; Structural basin; Sedimentary basin; Drilling; Sedimentary rock; Hydraulic fracturing; Shale gas; China; Directional drilling; Geochemistry; Engineering; Paleontology; Geography; Waste management; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.000315412,0.000124032,0.0002722463,0.0001474232,0.00001797019,0.00001612894,0.0001293423,0.00008086094,0.000005927459],"category_scores_gemma":[0.00000395968,0.0001009755,0.0000129954,0.000106602,0.000004220435,0.0000195079,0.00002859867,0.0000620586,5.476616e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003370519,"about_ca_system_score_gemma":0.00001290318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722989,"about_ca_topic_score_gemma":0.01602668,"domain_scores_codex":[0.9993082,0.00000854027,0.0002781956,0.000130414,0.00009043472,0.0001841766],"domain_scores_gemma":[0.999745,0.00004009399,0.00003509847,0.0001519816,0.000004825429,0.00002296715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006076447,0.00004770521,0.00001171513,0.001629601,0.0001173674,0.000005610202,0.0007284321,0.03767673,0.8591632,0.08801837,0.000235731,0.01230481],"study_design_scores_gemma":[0.001013496,0.00001449408,0.00002533833,0.00005081734,0.00002963877,0.000001881206,0.000345742,0.01161938,0.9734471,0.002332649,0.01085275,0.0002667272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820521,0.00006012036,0.01641504,0.0004235892,0.0002458949,0.0001717888,0.00002693925,0.00006304641,0.0005414592],"genre_scores_gemma":[0.9988244,0.0000870869,0.0007029365,0.0001419856,0.0000317721,0.0001603545,0.0000217583,0.0000201064,0.000009644349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142839,"threshold_uncertainty_score":0.8943264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004224174516457962,"score_gpt":0.1691023660829851,"score_spread":0.1648781915665271,"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."}}