{"id":"W4319440555","doi":"10.3390/en16041639","title":"An Integrated Approach to Reservoir Characterization for Evaluating Shale Productivity of Duvernary Shale: Insights from Multiple Linear Regression","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Oil shale; Total organic carbon; Petroleum engineering; Geology; Mineralogy; Reservoir modeling; Soil science; Shale gas; Quartz; Calcite; Chemistry; Environmental chemistry; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001066111,0.0006714705,0.0005536379,0.001087394,0.0002039333,0.0008658758,0.0005543425,0.0003258714,0.0005441873],"category_scores_gemma":[0.001769456,0.0002695413,0.0004475361,0.001206194,0.0001587288,0.0007604028,0.0003704079,0.0003413032,0.0001739515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603663,"about_ca_system_score_gemma":0.0007553002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089304,"about_ca_topic_score_gemma":0.02991264,"domain_scores_codex":[0.9996344,0.00009824427,0.00002815822,0.00008753933,0.0001226376,0.00002903995],"domain_scores_gemma":[0.9994603,0.0002284922,0.0000901261,0.00004202945,0.0001617478,0.00001736334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003640512,0.0003384313,0.1186086,0.0002753233,0.0002402306,0.0002657596,0.0003498076,0.5175956,0.1262499,0.001740683,0.0004169276,0.2335546],"study_design_scores_gemma":[0.000004010866,0.00006556988,0.01681776,0.000005915454,0.00002168396,0.0000221437,0.00006821805,0.9727621,0.009752002,0.0002446181,0.0002167277,0.00001928882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6537154,0.0004546906,0.3410406,0.0001314311,0.000007950882,0.00009535423,0.000660525,0.001280734,0.002613327],"genre_scores_gemma":[0.9415745,0.0001710852,0.05735383,0.00001251773,0.000003485827,0.00003247957,0.0002155556,0.00004169509,0.0005947392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02089304,"threshold_uncertainty_score":0.04154283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0431825285447256,"score_gpt":0.2892367487211874,"score_spread":0.2460542201764618,"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."}}