{"id":"W1987648573","doi":"10.1016/j.coal.2015.04.004","title":"Characterization of organic matter fractions in an unconventional tight gas siltstone reservoir","year":2015,"lang":"en","type":"article","venue":"International Journal of Coal Geology","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"Encana (Canada); University of Calgary; Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Siltstone; Tight gas; Unconventional oil; Organic matter; Shale gas; Geology; Characterization (materials science); Tight oil; Petroleum engineering; Oil shale; Chemistry; Materials science; Hydraulic fracturing; Paleontology; Facies; Organic chemistry; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100919,0.0001912153,0.0002111468,0.0007801611,0.0005372277,0.0004619769,0.0001917669,0.0003151778,0.0005559267],"category_scores_gemma":[0.0001510837,0.0001349939,0.0001739839,0.0005522636,0.0002348896,0.000463794,0.0002303863,0.0001700121,0.0001068207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268116,"about_ca_system_score_gemma":0.0003806736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008958434,"about_ca_topic_score_gemma":0.01441208,"domain_scores_codex":[0.999915,0.000004851144,0.00000635697,0.0000244028,0.00003083821,0.00001859816],"domain_scores_gemma":[0.99991,0.00001846203,0.00001745628,0.000003940448,0.00002944148,0.00002072261],"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":[0.0005947461,0.0002133337,0.1227046,0.0000735071,0.00003707484,0.0008290202,0.0004447935,0.001875972,0.8627183,0.00009276877,0.00009166402,0.01032418],"study_design_scores_gemma":[0.00002391736,0.0004962776,0.5763159,0.00002402231,0.00008680492,0.0004704455,0.002077023,0.03087225,0.3879663,0.0001508029,0.001452909,0.0000633008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994467,0.00001767007,0.000215495,0.00000541994,0.000001316111,0.000002349915,0.00008045834,0.000008244734,0.000222354],"genre_scores_gemma":[0.9991609,0.0000312761,0.0003522437,0.00000541885,0.000001328345,0.000002636887,0.00009192453,0.000003903569,0.0003504417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008958434,"threshold_uncertainty_score":0.01781255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176705279693536,"score_gpt":0.2668018569029769,"score_spread":0.2491313289336233,"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."}}