{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":44,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":44,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d52f2e979a61","filters":{"venue":"SPE Reservoir Simulation Conference"}},"results":[{"id":"W2587246515","doi":"10.2118/182626-ms","title":"A Comprehensive Geochemical-Based Approach at Modeling and Interpreting Brine Dilution in Carbonate Reservoirs","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"ExxonMobil Research and Engineering Company","keywords":"Dilution; Carbonate; Brine; Enhanced oil recovery; Chemistry; Relative permeability; Thermodynamics; Sorption; Wetting; Mineralogy; Petroleum engineering; Geology; Porosity; Adsorption; Organic chemistry","authors":[{"name":"Adedapo N. Awolayo","is_ca":true},{"name":"Hemanta Sarma","is_ca":true},{"name":"Long X. Nghiem","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04661769255382674,"gpt":0.297694466581285,"spread":0.2510767740274583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587679,0.0005704943,0.0004950742,0.0005660343,0.0004277046,0.001154291,0.0009641011,0.001655457,0.000771384],"category_scores_gemma":[0.0008550255,0.0004551673,0.0009645232,0.0003326503,0.0005430572,0.0007694351,0.0007008948,0.0007161904,0.0001144923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080001,"about_ca_system_score_gemma":0.001224903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929043,"about_ca_topic_score_gemma":0.0106193,"domain_scores_codex":[0.9999079,0.00002644433,0.000008956085,0.00002177194,0.00002303765,0.00001193748],"domain_scores_gemma":[0.9997981,0.0001103848,0.00002754575,0.00001611196,0.0000355007,0.00001236057],"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":[0.00001121152,0.00003154761,0.001375084,0.00003021756,0.00001308104,0.00005781862,0.00001411521,0.99008,0.005659224,0.001405559,0.00003519042,0.001286971],"study_design_scores_gemma":[0.000002078078,0.000008013502,0.0002403675,0.000001877942,0.000003161901,0.000006154845,0.000004157164,0.9987164,0.0006520016,0.0002750067,0.00008790957,0.000002865281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6386148,0.0008587512,0.350401,0.0006779275,0.0000483042,0.0002811917,0.0007000456,0.0006802243,0.007737751],"genre_scores_gemma":[0.9791849,0.0002818384,0.01916183,0.00003414619,0.00001433577,0.0001032491,0.0001015534,0.00003548814,0.00108269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01929043,"threshold_uncertainty_score":0.03835624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586506585","doi":"10.2118/182628-ms","title":"A Framework for Mechanistic Modeling of Alkali-Surfactant-Polymer Process in an Equation-of-State Compositional Simulator","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Calgary","keywords":"Emulsion; Equation of state; Dissolution; Enhanced oil recovery; Solubility; Petroleum engineering; Alkali metal; Chemistry; Precipitation; Chemical engineering; Aqueous solution; Pulmonary surfactant; Phase (matter); Thermodynamics; Process engineering; Geology; Organic chemistry; Engineering; Meteorology; Physics","authors":[{"name":"Long D. Nghiem","is_ca":false},{"name":"Fraser Skoreyko","is_ca":false},{"name":"Seyhan Emre Gorucu","is_ca":false},{"name":"Cuong T. Dang","is_ca":false},{"name":"Vijay Shrivastava","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09966055345317103,"gpt":0.3752923518293798,"spread":0.2756317983762088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009122108,0.0008136553,0.0008421792,0.0006480921,0.0007832701,0.001092305,0.002258353,0.001833014,0.004700417],"category_scores_gemma":[0.001367899,0.0004678894,0.001240325,0.0004150372,0.0008409527,0.0009016726,0.001274003,0.001396779,0.0007419597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374181,"about_ca_system_score_gemma":0.002284456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180725,"about_ca_topic_score_gemma":0.005714478,"domain_scores_codex":[0.9997228,0.00007547913,0.00001728162,0.00003001866,0.000114439,0.00003996147],"domain_scores_gemma":[0.9995376,0.0002183867,0.00004413521,0.00004174121,0.0001195469,0.00003873988],"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":[0.00001469549,0.00004267964,0.0002842385,0.00005278855,0.00001300636,0.0000669177,0.00004433881,0.9497129,0.002309636,0.04492055,0.0003107912,0.002227486],"study_design_scores_gemma":[0.0000053718,0.000006661016,0.00002865587,0.000005336583,0.000002522334,0.000004756964,0.000005790243,0.9959908,0.0002046404,0.002530568,0.001211344,0.000003391689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02369968,0.0003004493,0.9517556,0.000404523,0.0001120469,0.0003376616,0.0006739698,0.0006347578,0.02208138],"genre_scores_gemma":[0.5843658,0.001082844,0.3909905,0.0003199049,0.0001651408,0.002672895,0.001386772,0.0006129732,0.01840317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01180725,"threshold_uncertainty_score":0.02347708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206456284","doi":"10.2118/203931-ms","title":"INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs","year":2021,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Grid; Matching (statistics); Flow (mathematics); Tracing; Geology; Mathematics; Geometry","authors":[{"name":"Hui Zhao","is_ca":false},{"name":"Wei Liu","is_ca":false},{"name":"Xiang Rao","is_ca":false},{"name":"Guanglong Sheng","is_ca":false},{"name":"Huazhou Li","is_ca":true},{"name":"Zhenyu Guo","is_ca":false},{"name":"Liu Deng","is_ca":false},{"name":"Lin Cao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07571381411761306,"gpt":0.2965349390165735,"spread":0.2208211248989604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000365022,0.0007968006,0.0007800129,0.0004836443,0.0005971546,0.001151685,0.00212568,0.00185052,0.003156049],"category_scores_gemma":[0.001256234,0.0005771074,0.001253038,0.0005374323,0.000559616,0.0006938325,0.00119777,0.001552446,0.0004319369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009652412,"about_ca_system_score_gemma":0.001955607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03322411,"about_ca_topic_score_gemma":0.01629303,"domain_scores_codex":[0.9998643,0.00002726546,0.00001068576,0.00002814175,0.00004872981,0.00002081535],"domain_scores_gemma":[0.9995812,0.0001493748,0.00004298644,0.00005354832,0.0001125764,0.00006029759],"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":[0.00001579458,0.00002515369,0.000614554,0.00001531646,0.00001178064,0.00002674016,0.00001072329,0.9949313,0.000594011,0.001068722,0.0004937708,0.002192188],"study_design_scores_gemma":[0.000003302565,0.00000177034,0.00003011102,8.010192e-7,9.523586e-7,0.000001205332,9.692898e-7,0.9996228,0.00009064558,0.0001115839,0.0001338993,0.000001987519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1988543,0.0003566332,0.7757231,0.0009859324,0.0002992711,0.0002332676,0.004300001,0.00602766,0.01321976],"genre_scores_gemma":[0.8688306,0.000206129,0.1244057,0.0001964471,0.00006542428,0.000470204,0.002527418,0.0004889171,0.002809191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03322411,"threshold_uncertainty_score":0.06606144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930870984","doi":"10.2118/193931-ms","title":"A Geomechanics-Coupled Embedded Discrete Fracture Model and its Application in Geothermal Reservoir Simulation","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation; Colorado School of Mines","keywords":"Geomechanics; Geothermal gradient; Fluid dynamics; Fracture (geology); Stress (linguistics); Hydraulic fracturing; Geology; Flow (mathematics); Geotechnical engineering; Mechanics; Petroleum engineering; Geophysics","authors":[{"name":"Xiangyu Yu","is_ca":false},{"name":"Philip H. Winterfeld","is_ca":false},{"name":"Shihao Wang","is_ca":false},{"name":"Cong Wang","is_ca":false},{"name":"Lei Wang","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01654359706004586,"gpt":0.2696792761774973,"spread":0.2531356791174514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322368,0.0005063182,0.0006413381,0.0004152709,0.0004204068,0.0006965499,0.0009934249,0.001355726,0.001414477],"category_scores_gemma":[0.0006327342,0.0003719008,0.0007879842,0.0003371823,0.0004909371,0.0004289146,0.0006302435,0.0006978432,0.0001151537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006073586,"about_ca_system_score_gemma":0.0009749588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199666,"about_ca_topic_score_gemma":0.009461563,"domain_scores_codex":[0.9998875,0.00003037126,0.000006515118,0.0000216068,0.00003669771,0.00001729878],"domain_scores_gemma":[0.9997495,0.0001147047,0.00003318848,0.0000200041,0.00005689233,0.00002582746],"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":[0.00001335128,0.00002231963,0.000607389,0.00001126791,0.000008035057,0.00004289365,0.00001084358,0.9962485,0.0009995425,0.0005745493,0.00004121531,0.001420019],"study_design_scores_gemma":[0.000001484442,0.000004507958,0.00004381403,6.056394e-7,9.242599e-7,0.000001610695,0.000001517803,0.9997706,0.00009297668,0.00005056819,0.00003047738,9.052247e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5607431,0.0003099715,0.4268124,0.0003438572,0.00007814318,0.0001680984,0.0004364452,0.0007829869,0.01032498],"genre_scores_gemma":[0.9726096,0.00009144159,0.02541481,0.00002507988,0.000009806785,0.0001123361,0.0001110151,0.00003737494,0.001588595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199666,"threshold_uncertainty_score":0.03970075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2962883213","doi":"10.2118/182613-ms","title":"Dynamic Load Balancing Using Hilbert Space-Filling Curves for Parallel Reservoir Simulations","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"CMG Reservoir Simulation Foundation; University of Calgary; Heart and Stroke Foundation of Canada","keywords":"Hilbert curve; Computer science; Grid; Parallel computing; Solver; Overhead (engineering); Computation; Speedup; Computational science; Distributed computing; Topology (electrical circuits); Algorithm; Mathematics; Geometry","authors":[{"name":"Hui Liu","is_ca":true},{"name":"Kun Wang","is_ca":true},{"name":"Bo Yang","is_ca":true},{"name":"Min Yang","is_ca":true},{"name":"Ruijian He","is_ca":true},{"name":"Lihua Shen","is_ca":true},{"name":"He Zhong","is_ca":true},{"name":"Zhangxin Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08367437728913853,"gpt":0.353767650159504,"spread":0.2700932728703655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084412,0.0005935497,0.0007324894,0.0008207564,0.0007703137,0.0009393633,0.0009472598,0.0007569805,0.002102158],"category_scores_gemma":[0.003366525,0.0002940811,0.0005234224,0.0008084002,0.001209892,0.001548356,0.001499991,0.0008054847,0.0003347471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106535,"about_ca_system_score_gemma":0.001174666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352712,"about_ca_topic_score_gemma":0.002011074,"domain_scores_codex":[0.9996245,0.000161144,0.00001561565,0.00003123996,0.0001085514,0.00005896383],"domain_scores_gemma":[0.9988344,0.0006517449,0.0000738293,0.00009692497,0.000232307,0.0001108104],"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":[0.00004737886,0.00003067873,0.000629678,0.00002536692,0.00001308528,0.00004767565,0.00008358533,0.9649099,0.001908731,0.02034392,0.000427078,0.01153291],"study_design_scores_gemma":[0.000001962612,0.000003715534,0.00001338192,8.292234e-7,4.139252e-7,0.000001429484,0.000003643141,0.9974121,0.0002139253,0.00218723,0.0001595146,0.000001790111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260504,0.0003138143,0.8657972,0.0003532185,0.00006108431,0.00007785403,0.00007623294,0.0007678788,0.006502327],"genre_scores_gemma":[0.8859133,0.0001861103,0.111547,0.00007160719,0.00002475812,0.000142092,0.000114763,0.0002311218,0.001769379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005352712,"threshold_uncertainty_score":0.01064312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587586758","doi":"10.2118/182600-ms","title":"Trajectory-Based DEIM TDEIM Model Reduction Applied to Reservoir Simulation","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"ExxonMobil Foundation; CMG Reservoir Simulation Foundation; Texas A and M University","keywords":"Trajectory; Nonlinear system; Interpolation (computer graphics); Reduction (mathematics); Point of delivery; Computer science; Term (time); Mathematical optimization; Control theory (sociology); Applied mathematics; Mathematics; Artificial intelligence","authors":[{"name":"Xiaosi Tan","is_ca":false},{"name":"Eduardo Gildin","is_ca":false},{"name":"Sumeet Trehan","is_ca":false},{"name":"Yahan Yang","is_ca":false},{"name":"Nazish Hoda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08679572233237809,"gpt":0.3459757601282054,"spread":0.2591800377958273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003996817,0.0005291586,0.000697032,0.0003840015,0.0003638795,0.0004699048,0.0009037619,0.0006031609,0.001942224],"category_scores_gemma":[0.001141982,0.0003197466,0.0006835151,0.0004473487,0.0003688747,0.0005290232,0.0008425657,0.001179254,0.0003874353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004680491,"about_ca_system_score_gemma":0.0009605972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008571774,"about_ca_topic_score_gemma":0.005170325,"domain_scores_codex":[0.9998602,0.00004178608,0.000009543274,0.00001785869,0.00005434709,0.00001630807],"domain_scores_gemma":[0.9996415,0.0001371382,0.00003584121,0.00006284579,0.0001009772,0.00002165351],"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":[0.00002379804,0.00002284261,0.0004512054,0.00003570139,0.00001439501,0.00003042753,0.00002584973,0.977604,0.002208478,0.002803656,0.0003104825,0.01646911],"study_design_scores_gemma":[0.000001257888,0.000003129642,0.00002264339,9.036754e-7,5.81019e-7,0.000001946798,0.000001496554,0.9993367,0.0002914386,0.000184229,0.0001545898,0.000001100577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03046497,0.0001325436,0.9652901,0.0001478763,0.00004843554,0.00004685927,0.0001274843,0.000919725,0.002822067],"genre_scores_gemma":[0.6399024,0.0002140529,0.3552111,0.00009857684,0.00003576931,0.0002390486,0.0006001121,0.0003413746,0.003357534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008571774,"threshold_uncertainty_score":0.01704377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2932960048","doi":"10.2118/193914-ms","title":"A Comprehensive Adaptive Forecasting Framework for Optimum Field Development Planning","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Computer science; Grid; Streamlines, streaklines, and pathlines; Sensitivity (control systems); Workflow; Inversion (geology); Reservoir simulation; Field (mathematics); Data mining; Infill; Replicate; Process (computing); Mathematical optimization; Industrial engineering; Engineering; Geology","authors":[{"name":"Amir Salehi","is_ca":true},{"name":"Gill Hetz","is_ca":true},{"name":"Feyisayo Olalotiti","is_ca":true},{"name":"Nadav Sorek","is_ca":true},{"name":"Hamed Darabi","is_ca":true},{"name":"David Castiñeira","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1272725924603589,"gpt":0.3439670275902895,"spread":0.2166944351299307,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519309,0.0007870972,0.0009175757,0.0008756467,0.0005312056,0.001492607,0.001766844,0.001145429,0.003354021],"category_scores_gemma":[0.003505702,0.00069454,0.0008047048,0.0009215574,0.0007267022,0.001083574,0.001262016,0.00118167,0.0003468002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501522,"about_ca_system_score_gemma":0.002318343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03033556,"about_ca_topic_score_gemma":0.02179893,"domain_scores_codex":[0.9995528,0.0001647,0.00002411128,0.0001032032,0.000103438,0.00005183099],"domain_scores_gemma":[0.9990888,0.0004998526,0.00008232226,0.00006186985,0.0002048711,0.00006239437],"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":[0.000003543158,0.000003140037,0.00008768293,0.000004563301,0.000004662829,0.000008766498,0.000007858261,0.9932274,0.00006242665,0.004314882,0.0001172132,0.002157962],"study_design_scores_gemma":[7.28796e-7,0.000001081826,0.00001036745,8.668486e-7,7.22429e-7,5.97084e-7,0.00000142597,0.9984118,0.00001465067,0.001463255,0.00009366534,9.09835e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01500168,0.0001472015,0.980298,0.0002870433,0.0000253321,0.00003400608,0.0002611341,0.0003672257,0.003578417],"genre_scores_gemma":[0.7386409,0.000306209,0.2568913,0.0000962886,0.00008003843,0.0002298415,0.0006352376,0.0001603428,0.002959793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03033556,"threshold_uncertainty_score":0.06031799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587550001","doi":"10.2118/182669-ms","title":"Uncertainty Quantification for Foam Flooding in Fractured Carbonate Reservoirs","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministry of Higher Education, Research and Innovation; CMG Reservoir Simulation Foundation","keywords":"Carbonate; Petroleum engineering; Geology; Permeability (electromagnetism); Saturation (graph theory); Enhanced oil recovery; Relative permeability; Geotechnical engineering; Soil science; Environmental science; Materials science; Porosity","authors":[{"name":"Adnan Al-Maqbali","is_ca":false},{"name":"Victoria Spooner","is_ca":false},{"name":"S. Geiger","is_ca":false},{"name":"Daniel Arnold","is_ca":false},{"name":"Eric Mackay","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06694016179965195,"gpt":0.3443741709552847,"spread":0.2774340091556327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493374,0.0006175352,0.0004304793,0.0009128133,0.0002879106,0.0007296841,0.0006473128,0.000824148,0.0007105008],"category_scores_gemma":[0.007210498,0.0003243245,0.0006669714,0.0003417285,0.0006226819,0.0005560179,0.0007811367,0.0006358221,0.00003829647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807536,"about_ca_system_score_gemma":0.0006651104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009720798,"about_ca_topic_score_gemma":0.004292422,"domain_scores_codex":[0.9995165,0.00015288,0.00003090681,0.00008227726,0.0001469632,0.00007056096],"domain_scores_gemma":[0.9947649,0.004207448,0.0004712064,0.0001375697,0.0003361221,0.00008272363],"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":[0.00002599675,0.00001150029,0.001160957,0.00001737265,0.00001136173,0.00002769117,0.00001368016,0.9951026,0.001210803,0.0004667941,0.00001947661,0.001931711],"study_design_scores_gemma":[0.000001420229,0.00001484534,0.0005595142,0.000003842436,0.000003040513,0.000005687056,0.00000522226,0.9980072,0.001034454,0.0003233904,0.00003649226,0.00000480722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8262104,0.0002025645,0.1703326,0.0001231993,0.00001295363,0.00008493493,0.0004146087,0.0003731311,0.00224557],"genre_scores_gemma":[0.9925337,0.00001913612,0.0072297,0.000005514266,0.000002367399,0.00002006777,0.00008136507,0.00001282974,0.00009534784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009720798,"threshold_uncertainty_score":0.01932842,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586341834","doi":"10.2118/182597-ms","title":"CO2 Water-Alternating-Gas Flooding Optimization of the Chigwell Viking I Pool in the Western Canadian Sedimentary Basin","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Controllability; Maximization; Net present value; Environmental science; Production (economics); Petroleum engineering; Mathematical optimization; Hydrology (agriculture); Mathematics; Geology; Geotechnical engineering","authors":[{"name":"C.. Hewson","is_ca":false},{"name":"O. Leeuwenburgh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0389499375920294,"gpt":0.2929908623645296,"spread":0.2540409247725002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003035273,0.0007214675,0.0006838558,0.0003599341,0.0008455733,0.0009778421,0.000790017,0.001059196,0.0009376755],"category_scores_gemma":[0.000682553,0.0003926419,0.0007090529,0.0003416263,0.0007053693,0.000338161,0.0004323866,0.0005566399,0.00006698964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003664885,"about_ca_system_score_gemma":0.004750826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6236719,"about_ca_topic_score_gemma":0.5392925,"domain_scores_codex":[0.9999114,0.00001848088,0.000003167783,0.00001814464,0.0000149632,0.000033756],"domain_scores_gemma":[0.9998043,0.00008676016,0.00001935818,0.00001183175,0.00004739394,0.0000304013],"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":[0.00001776472,0.00001180895,0.001423232,0.000005243014,0.00001001747,0.00003230314,0.00000717338,0.9972755,0.0004441746,0.0001294294,0.00005889241,0.0005844508],"study_design_scores_gemma":[0.000009615665,0.0000159531,0.001212971,0.000001503132,0.000005704334,0.000002406083,0.00002209089,0.9982462,0.0003180898,0.00007428216,0.00008582732,0.00000541216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891334,0.00006935668,0.005836939,0.0001745605,0.000009922676,0.00003185529,0.0003340729,0.00008084349,0.004329096],"genre_scores_gemma":[0.997551,0.00001886717,0.00154273,0.00001243922,0.000001133282,0.00001677732,0.0001229454,0.00001082775,0.0007232702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3763281,"threshold_uncertainty_score":0.7570887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2929639378","doi":"10.2118/193829-ms","title":"Integration of Deep Learning and Data Analytics for SAGD Temperature and Production Analysis","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta; Government of Canada","keywords":"Workflow; Oil shale; Computer science; Petroleum engineering; Data mining; Synthetic data; Deep learning; Steam injection; Artificial intelligence; Geology","authors":[{"name":"Zhiwei Ma","is_ca":true},{"name":"Juliana Y. Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0544654054759597,"gpt":0.3404673823252995,"spread":0.2860019768493398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009283561,0.00111661,0.0005037068,0.00113522,0.0002658427,0.0009697816,0.0009832812,0.0005978033,0.0009486813],"category_scores_gemma":[0.002086516,0.0004520512,0.0008436792,0.0009042627,0.0003964397,0.001207835,0.001370774,0.001369822,0.0003706805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009841308,"about_ca_system_score_gemma":0.001341774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025188,"about_ca_topic_score_gemma":0.009975476,"domain_scores_codex":[0.9996118,0.00007185472,0.00003926904,0.0001101953,0.0001181793,0.0000486648],"domain_scores_gemma":[0.9992409,0.0002505772,0.0000773598,0.0001588622,0.0002168302,0.00005565613],"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":[0.00009442825,0.0002592003,0.006772509,0.00007380821,0.00009345014,0.0001492167,0.00006905791,0.8600925,0.007294247,0.003095577,0.001789414,0.1202167],"study_design_scores_gemma":[0.000001118005,0.000005633495,0.0001923442,0.000001630069,0.000001905282,0.000003001612,0.000004779877,0.9976045,0.001094317,0.0008899682,0.0001983924,0.000002380373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07165846,0.0002460128,0.9184424,0.0005489421,0.00006003482,0.00009611963,0.0008995388,0.006522234,0.001526225],"genre_scores_gemma":[0.737308,0.0002239892,0.2581788,0.0001782045,0.00003364418,0.0001573959,0.002429447,0.0001707159,0.001319835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01025188,"threshold_uncertainty_score":0.02038443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2929691407","doi":"10.2118/193843-ms","title":"Numerical and Experimental Analysis of Diffusion and Sorption Kinetics Effects in Marcellus Shale Gas Transport","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Sandia National Laboratories; National Nuclear Security Administration; Energi Simulation; Pennsylvania State University","keywords":"Sorption; Diffusion; Mass transfer; Oil shale; Phase (matter); Materials science; Surface diffusion; Gaseous diffusion; Adsorption; Transport phenomena; Thermodynamics; Chemistry; Geology; Physics; Physical chemistry","authors":[{"name":"Miao Zhang","is_ca":false},{"name":"Nirjhor Chakraborty","is_ca":false},{"name":"Zuleima T. Karpyn","is_ca":false},{"name":"Hamid Emami‐Meybodi","is_ca":false},{"name":"Luis F. Ayala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0125838933049587,"gpt":0.249400312503894,"spread":0.2368164191989353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433818,0.0001850517,0.0001741044,0.000213327,0.00024776,0.0002315435,0.0002428016,0.0003406987,0.0007915157],"category_scores_gemma":[0.0006890144,0.0001066953,0.0001231463,0.0002110422,0.0003119867,0.0002979937,0.0001820949,0.0002042173,0.00006200436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246958,"about_ca_system_score_gemma":0.0003234596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005019692,"about_ca_topic_score_gemma":0.003422556,"domain_scores_codex":[0.9999341,0.000009146645,0.000004380567,0.0000112172,0.00002660672,0.00001451106],"domain_scores_gemma":[0.9996543,0.0001997927,0.00003934456,0.00002444702,0.00006743008,0.00001470779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003365638,0.0002160575,0.008103983,0.0001580253,0.00001415481,0.0001944219,0.0002079019,0.4881798,0.4882024,0.003464259,0.0001816946,0.01074086],"study_design_scores_gemma":[0.000009792508,0.00007606072,0.001520708,0.000002913356,0.000002770654,0.0000123697,0.00002510629,0.9116606,0.08642943,0.00009587406,0.0001567368,0.000007769114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963265,0.00005193059,0.002867152,0.00003231145,0.000003685081,0.000005671709,0.00004571077,0.00003882606,0.0006282239],"genre_scores_gemma":[0.998063,0.0000313849,0.001649034,0.000002195942,7.404082e-7,0.000005988268,0.0000213119,0.000002479389,0.000223908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005019692,"threshold_uncertainty_score":0.009980977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586130254","doi":"10.2118/182595-ms","title":"Fully Coupled Thermal-Hydraulic-Mechanical Reservoir Simulation with Non-Isothermal Multiphase Compositional Modeling","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation; Colorado School of Mines","keywords":"Fluid dynamics; Thermal hydraulics; Computer science; Simulation; Flash evaporation; Deformation (meteorology); Isothermal process; Mechanics; Geology; Heat transfer; Thermodynamics; Physics","authors":[{"name":"Shihao Wang","is_ca":false},{"name":"Juncheng Zhang","is_ca":false},{"name":"Zhenzhou Yang","is_ca":false},{"name":"Congbin Yin","is_ca":false},{"name":"Yonghong Wang","is_ca":false},{"name":"Ronglei Zhang","is_ca":false},{"name":"Philip H. Winterfeld","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03455092078600607,"gpt":0.2920236000170434,"spread":0.2574726792310373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398972,0.0005221735,0.0006533145,0.0003869608,0.0003863268,0.0005968044,0.001022948,0.0007307178,0.002008574],"category_scores_gemma":[0.0009855547,0.0003358163,0.0005718608,0.0004294315,0.0005171642,0.0005546593,0.001026328,0.0004265373,0.000218752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226766,"about_ca_system_score_gemma":0.001425627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007392318,"about_ca_topic_score_gemma":0.004423073,"domain_scores_codex":[0.9998129,0.00005491625,0.00001108013,0.00002130204,0.00007086833,0.00002890962],"domain_scores_gemma":[0.9996431,0.0001507443,0.00003827565,0.00005781893,0.00006724803,0.00004290498],"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":[0.00002632218,0.00003047161,0.0005994096,0.00002259326,0.00001405387,0.00004146538,0.00001839954,0.9920219,0.003810652,0.00123684,0.00007835034,0.002099604],"study_design_scores_gemma":[0.000005560612,0.000006901472,0.00007696722,7.297186e-7,0.000001408787,0.00000313399,0.000001779651,0.9990095,0.000647701,0.0001357233,0.0001086877,0.000001874041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5195619,0.0002040795,0.4601005,0.0002047442,0.00007394822,0.0002673719,0.0007044493,0.001987956,0.01689493],"genre_scores_gemma":[0.9505064,0.00007104476,0.04684932,0.00002986221,0.00001124325,0.0002052633,0.0002523049,0.0001206515,0.001953917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007392318,"threshold_uncertainty_score":0.01469857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2932289736","doi":"10.2118/193882-ms","title":"Impact of WAG Design on Calcite Scaling Risk in Coupled CO2-EOR and Storage Projects in Carbonate Reservoirs","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Energi Simulation","keywords":"Calcite; Carbonate; Dissolution; Reservoir simulation; Enhanced oil recovery; Petroleum engineering; Residual oil; Geology; Petroleum reservoir; Injection well; Precipitation; Mineralogy; Environmental science; Chemical engineering; Materials science; Engineering; Metallurgy","authors":[{"name":"Hydra Rodrigues","is_ca":false},{"name":"Eric Mackay","is_ca":false},{"name":"Daniel Arnold","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03430950362687952,"gpt":0.3044274636232115,"spread":0.270117959996332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001927663,0.0006086479,0.0004996475,0.0005703005,0.0004608307,0.001069641,0.0007306276,0.0008859658,0.0007439085],"category_scores_gemma":[0.00350154,0.0003295137,0.0006763132,0.0003949681,0.0005903679,0.0007198704,0.000734534,0.0005257758,0.00006362022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791514,"about_ca_system_score_gemma":0.001255138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153908,"about_ca_topic_score_gemma":0.01143638,"domain_scores_codex":[0.9995039,0.0001846856,0.00003277045,0.0000839739,0.00008282952,0.0001119141],"domain_scores_gemma":[0.9979563,0.001302809,0.0002314072,0.0001256278,0.0002533238,0.0001305765],"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":[0.0001264967,0.00006771783,0.007756542,0.00003531839,0.00002963252,0.0001090232,0.00002377652,0.9864622,0.002823393,0.0004466827,0.0000526378,0.002066646],"study_design_scores_gemma":[0.00002076703,0.0002318373,0.003119238,0.000008356706,0.00002276963,0.0000149807,0.00007955691,0.9912736,0.00473604,0.0003172099,0.0001598022,0.00001587086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946297,0.00003090229,0.004042577,0.00004948917,0.000004866918,0.00003759734,0.0001572594,0.0000441685,0.001003288],"genre_scores_gemma":[0.9986662,0.00001195931,0.001121345,0.00000485198,4.611612e-7,0.00001651656,0.00004217522,0.000004650652,0.0001319182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153908,"threshold_uncertainty_score":0.04282743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2927205007","doi":"10.2118/193905-ms","title":"Modelling of Electromagnetic Heating Process and its Applications in Oil Sands Reservoirs","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Energi Simulation; University of Calgary","keywords":"Petroleum engineering; Steam injection; Mechanics; Dielectric; Porous medium; Thermal; Magnetic field; Permeability (electromagnetism); Electromagnetic field; Oil field; Materials science; Environmental science; Geology; Geotechnical engineering; Porosity; Thermodynamics; Physics; Chemistry","authors":[{"name":"Dongqi Ji","is_ca":true},{"name":"Thomas G. Harding","is_ca":true},{"name":"Zhangxin Chen","is_ca":true},{"name":"Mingzhe Dong","is_ca":true},{"name":"Hui Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04276863469612488,"gpt":0.291232719675975,"spread":0.2484640849798501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661048,0.0004638072,0.0004372856,0.0003549058,0.0004462029,0.0008192023,0.0006566538,0.001269878,0.001639264],"category_scores_gemma":[0.0005143848,0.0002565425,0.0005533105,0.0003324049,0.0005169893,0.0005001399,0.0005469559,0.0003517896,0.0002146911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00055424,"about_ca_system_score_gemma":0.0007196331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009856923,"about_ca_topic_score_gemma":0.004006214,"domain_scores_codex":[0.9999025,0.00002814593,0.000005250166,0.00001731013,0.00002566659,0.00002122268],"domain_scores_gemma":[0.9998463,0.00008078166,0.0000215478,0.00001190462,0.00002618987,0.0000132014],"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":[0.00002013517,0.00002237125,0.0006241813,0.00003072851,0.000005563633,0.00009342571,0.00002972776,0.9916553,0.003749266,0.001388373,0.00008149334,0.002299436],"study_design_scores_gemma":[0.000002484695,0.00000868649,0.0001135336,0.000002952714,0.00000164636,0.000009066195,0.000009538942,0.9987118,0.000690395,0.0001854747,0.0002618543,0.000002534897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5554156,0.000764124,0.4109262,0.0004444536,0.0000979187,0.0001878068,0.0004340068,0.0007693012,0.03096067],"genre_scores_gemma":[0.9819657,0.0002556703,0.01162907,0.0000174814,0.00001184363,0.0000662785,0.00008834441,0.00003582843,0.005929772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009856923,"threshold_uncertainty_score":0.01959908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2925733153","doi":"10.2118/193815-ms","title":"Numerical Modeling of Fluid-Rock Interactions During Low-Salinity-Brine-CO2 Flooding in Carbonate Reservoirs","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"ExxonMobil Research and Engineering Company; Killam Trusts","keywords":"Brine; Carbonate; Salinity; Enhanced oil recovery; Solubility; Surface tension; Wetting; Geology; Chemistry; Mineralogy; Chemical engineering; Petroleum engineering; Thermodynamics","authors":[{"name":"Adedapo N. Awolayo","is_ca":true},{"name":"Hemanta Sarma","is_ca":true},{"name":"Long X. Nghiem","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0269637246160105,"gpt":0.2872054094730793,"spread":0.2602416848570688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003210568,0.0005177048,0.0005310124,0.0004142051,0.0005724304,0.0006901431,0.0008885962,0.001575414,0.001094185],"category_scores_gemma":[0.0009423892,0.0003246522,0.0005927777,0.0003139467,0.0007264442,0.0004428662,0.0004415496,0.0005822065,0.0001039216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135435,"about_ca_system_score_gemma":0.001185993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03348948,"about_ca_topic_score_gemma":0.01245359,"domain_scores_codex":[0.9998993,0.00001954602,0.000007363599,0.00002024815,0.00002279226,0.00003074824],"domain_scores_gemma":[0.9995131,0.0002931536,0.00006120573,0.00001982586,0.00007233522,0.00004025677],"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":[0.00004540414,0.00005675571,0.002150623,0.00002322241,0.000008834994,0.0000901227,0.00002488447,0.9918114,0.004471678,0.0003987135,0.00005658585,0.0008617814],"study_design_scores_gemma":[0.000004565127,0.00001040396,0.0002060684,8.614386e-7,0.000001269616,0.000002458332,0.000005036532,0.9992608,0.0004521813,0.00002949839,0.00002489376,0.000001930935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806296,0.0001053212,0.01428262,0.0001634723,0.00002070902,0.00007301673,0.0002165053,0.0001538141,0.004354855],"genre_scores_gemma":[0.9961216,0.00004497405,0.002879119,0.00001655991,0.00000379358,0.00003957984,0.00007149371,0.00001505606,0.0008078874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03348948,"threshold_uncertainty_score":0.06658906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587635100","doi":"10.2118/182652-ms","title":"Model Order Reduction and Control Polynomial Approximation for Well-Control Production Optimization","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Mathematical optimization; Parametrization (atmospheric modeling); Mathematics; Applied mathematics; Model order reduction; Polynomial; Interpolation (computer graphics); Computer science; Algorithm","authors":[{"name":"Nadav Sorek","is_ca":false},{"name":"Hardikkumar Zalavadia","is_ca":false},{"name":"Eduardo Gildin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04322510909024137,"gpt":0.3045111406577333,"spread":0.261286031567492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007585605,0.0006905191,0.000958121,0.0003578436,0.00036976,0.0008566753,0.0007118342,0.0006657877,0.001660935],"category_scores_gemma":[0.001820015,0.0003482319,0.0007941179,0.0004006535,0.0005674849,0.0007657935,0.0006157825,0.00143491,0.0002656041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436321,"about_ca_system_score_gemma":0.001282183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009117052,"about_ca_topic_score_gemma":0.005463121,"domain_scores_codex":[0.9996754,0.0001214355,0.00001324569,0.00004073143,0.0001124282,0.00003689065],"domain_scores_gemma":[0.9993696,0.000364672,0.00006607393,0.00008745773,0.00009332031,0.00001891621],"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":[0.00001567039,0.00001126744,0.0001229563,0.00002101909,0.000005840589,0.000009180233,0.000009875353,0.990389,0.0007096517,0.002974845,0.0001242106,0.005606429],"study_design_scores_gemma":[0.00000171057,0.000004529748,0.00001844456,0.000001175118,9.716974e-7,0.000001114068,0.00000147106,0.9990799,0.0002225169,0.0005392418,0.0001277278,0.000001032587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0268225,0.0002147081,0.968566,0.0001792478,0.0000300671,0.00004374628,0.00007836836,0.0003852378,0.003680143],"genre_scores_gemma":[0.7869857,0.0002483103,0.2089476,0.00006416637,0.00002881537,0.0001913463,0.0001972949,0.0002120189,0.003124823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009117052,"threshold_uncertainty_score":0.01812798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586738966","doi":"10.2118/182635-ms","title":"Flow Diagnostics on Fully Unstructured Grids","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Petrobras","keywords":"Computer science; Solver; Reservoir simulation; Discretization; Unstructured grid; Grid; Finite volume method; Polygon mesh; Flow (mathematics); Computational science; Mathematical optimization; Control volume; Triangulated irregular network; Computation; Algorithm; Applied mathematics; Mathematics; Geometry; Mechanics; Engineering; Geology; Mathematical analysis","authors":[{"name":"Zhao Zhang","is_ca":false},{"name":"S. Geiger","is_ca":false},{"name":"Margaret Rood","is_ca":false},{"name":"Carl Jacquemyn","is_ca":false},{"name":"Matthew D. Jackson","is_ca":false},{"name":"Gary J. Hampson","is_ca":false},{"name":"Felipe Carvalho","is_ca":true},{"name":"C.C.M. Machado Silva","is_ca":true},{"name":"Julio Machado Silva","is_ca":true},{"name":"Mário Costa Sousa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07557220230762945,"gpt":0.3631806823875003,"spread":0.2876084800798708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000316461,0.0004432903,0.0003624019,0.0007040399,0.0003182103,0.0008635593,0.000648056,0.0007367051,0.003301382],"category_scores_gemma":[0.00249126,0.0002417977,0.0002897235,0.000390476,0.0007073972,0.0007768132,0.001053271,0.0005483619,0.0004323864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450289,"about_ca_system_score_gemma":0.0006691486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002781254,"about_ca_topic_score_gemma":0.001177222,"domain_scores_codex":[0.99964,0.00009399626,0.0000237075,0.0000449003,0.000164661,0.00003264847],"domain_scores_gemma":[0.9990522,0.0004112545,0.00009613948,0.0001656102,0.0002323663,0.00004247935],"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":[0.00009856952,0.00003955919,0.001956325,0.00008184826,0.00001257442,0.0003013592,0.0001267602,0.8910826,0.01892062,0.03747445,0.002845472,0.04705988],"study_design_scores_gemma":[0.000006988941,0.000009077769,0.000161256,0.000004997368,4.776927e-7,0.00002557587,0.00001109875,0.992661,0.001373678,0.004743257,0.0009980663,0.000004594646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.115621,0.0002101749,0.8649104,0.0003761394,0.0001867454,0.0001572674,0.0006361864,0.002386861,0.01551523],"genre_scores_gemma":[0.7480451,0.0001213898,0.2460129,0.0001220801,0.00004905981,0.0001304973,0.0007811785,0.0002007106,0.0045372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003301382,"threshold_uncertainty_score":0.0110442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2927380616","doi":"10.2118/193879-ms","title":"A General Framework Model for Fully Coupled Thermal-Hydraulic-Mechanical Simulation of CO2 EOR Operations","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation","keywords":"Solver; Geomechanics; Computer science; Reservoir simulation; Work (physics); Isothermal process; Mechanics; Mechanical engineering; Engineering; Thermodynamics; Petroleum engineering; Physics; Geotechnical engineering","authors":[{"name":"Shihao Wang","is_ca":false},{"name":"Di Yuan","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false},{"name":"Philip H. Winterfeld","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03514568842260632,"gpt":0.3099948069832782,"spread":0.2748491185606718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004352091,0.0008384714,0.0009055992,0.0006639957,0.0007828078,0.001113222,0.002010439,0.001930394,0.004118712],"category_scores_gemma":[0.0007533772,0.0004897492,0.001263568,0.0005287522,0.0009688825,0.0009752686,0.001466516,0.001005927,0.0005655147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220998,"about_ca_system_score_gemma":0.001800032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842158,"about_ca_topic_score_gemma":0.0109229,"domain_scores_codex":[0.9997423,0.00006663289,0.00001501783,0.00005289092,0.00009001365,0.00003317708],"domain_scores_gemma":[0.99979,0.00006763884,0.00002879128,0.00002215618,0.0000667645,0.00002459323],"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":[0.00001276246,0.00002537908,0.0003313152,0.00003950899,0.00002586821,0.00008565798,0.00004262738,0.9596892,0.002498362,0.03485741,0.0003351548,0.002056709],"study_design_scores_gemma":[0.000005828746,0.000005551426,0.00004404968,0.000002211408,0.000002719051,0.000006775037,0.000004645526,0.9971697,0.0001116319,0.001870151,0.0007733102,0.00000344857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03660119,0.0005014482,0.9394614,0.0005259208,0.0001540195,0.0001902983,0.0007761114,0.0005920485,0.02119752],"genre_scores_gemma":[0.7591376,0.001067854,0.2129718,0.00029469,0.0001903282,0.001347388,0.0009493962,0.0003834676,0.02365757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01842158,"threshold_uncertainty_score":0.03662872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2932218725","doi":"10.2118/193861-ms","title":"Ranking Fractured Reservoir Models Using Flow Diagnostics","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Energi Simulation","keywords":"Ranking (information retrieval); Computer science; Flow (mathematics); Matrix (chemical analysis); Uncertainty quantification; Reservoir simulation; Ensemble Kalman filter; Rank (graph theory); Porosity; Petroleum engineering; Data mining; Geology; Machine learning; Mechanics; Mathematics; Artificial intelligence; Geotechnical engineering; Kalman filter; Materials science; Physics","authors":[{"name":"Victoria Spooner","is_ca":false},{"name":"S. Geiger","is_ca":false},{"name":"Daniel Arnold","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06402533247702372,"gpt":0.3127129907601885,"spread":0.2486876582831648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431809,0.0007090471,0.0009202707,0.001588088,0.000419912,0.001393964,0.000696768,0.0006382783,0.001048424],"category_scores_gemma":[0.004774021,0.0004131755,0.0007710566,0.0005454063,0.0005275388,0.0009374485,0.000832081,0.0005613883,0.0001244985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196744,"about_ca_system_score_gemma":0.001010883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007342121,"about_ca_topic_score_gemma":0.005876451,"domain_scores_codex":[0.999513,0.0001685004,0.00003626271,0.00006627187,0.000147588,0.00006837583],"domain_scores_gemma":[0.9972032,0.00163553,0.0003273056,0.0002552034,0.0003829731,0.0001957853],"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":[0.00004086725,0.00002273235,0.004436141,0.00001027965,0.00003160448,0.00002022526,0.00001068423,0.9901813,0.0008096075,0.0009025638,0.00009159233,0.003442488],"study_design_scores_gemma":[0.000003027463,0.00001487992,0.0002576915,0.000001019862,0.000001914714,0.000003010987,0.000003109497,0.9989619,0.0003548818,0.0003579047,0.00003715352,0.000003422578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876255,0.0001278891,0.108726,0.0001633675,0.00004276398,0.00006822191,0.0006204879,0.0006975987,0.001928156],"genre_scores_gemma":[0.9825356,0.00002421231,0.01674736,0.00001967824,0.00001007167,0.00002754891,0.0003695339,0.00002576642,0.0002401708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007342121,"threshold_uncertainty_score":0.01459879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2925728504","doi":"10.2118/193836-ms","title":"Simulation of Radio Frequency Heating of Heavy Oil Reservoir Using Multi-Physics Coupling of Reservoir Simulation with Electromagnetic Solver","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coupling (piping); Solver; Reservoir simulation; Petroleum engineering; Radio frequency; Steam-assisted gravity drainage; Simulation; Computer science; Engineering; Mechanical engineering; Materials science; Telecommunications","authors":[{"name":"Gary Li","is_ca":false},{"name":"Xiaoyue Guan","is_ca":false},{"name":"Hanming Wang","is_ca":false},{"name":"Song Du","is_ca":false},{"name":"Dagang Wu","is_ca":false},{"name":"Ji Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05999118840469644,"gpt":0.3059689763511128,"spread":0.2459777879464163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085907,0.0003892074,0.0004481878,0.0003650142,0.0003884366,0.0005532905,0.0007698382,0.0008031375,0.003051345],"category_scores_gemma":[0.0008745986,0.0002479642,0.0005431973,0.0003796385,0.0004321721,0.0003826129,0.0005873271,0.0005796175,0.000204114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825624,"about_ca_system_score_gemma":0.0007363573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007731568,"about_ca_topic_score_gemma":0.003788827,"domain_scores_codex":[0.9998436,0.00004265925,0.00000754752,0.00001620474,0.00005216368,0.00003783825],"domain_scores_gemma":[0.9995313,0.0002594689,0.00005006158,0.00003771804,0.00007615556,0.00004536748],"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":[0.0000648054,0.00006424297,0.002116748,0.00003501702,0.00001886222,0.0001035734,0.00004459608,0.9894414,0.004397967,0.001083664,0.0002078901,0.002421215],"study_design_scores_gemma":[0.000006318981,0.00001527859,0.0002034224,0.000001725292,0.00000212128,0.000004366657,0.000006325668,0.99856,0.000958889,0.00007829665,0.0001608574,0.000002308329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875294,0.0001308604,0.1051105,0.0002042034,0.0000679872,0.0001205684,0.0003772792,0.001323084,0.01737154],"genre_scores_gemma":[0.9839844,0.00004117856,0.01384825,0.00002494468,0.000004776899,0.0000783909,0.0001610756,0.00006371039,0.001793182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007731568,"threshold_uncertainty_score":0.01537311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2931236503","doi":"10.2118/193818-ms","title":"A Compositional Model for Gas Injection IOR/EOR in Tight Oil Reservoirs Under Coupled Nanopore Confinement and Geomechanics Effects","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"SINOPEC Petroleum Exploration and Production Research Institute; Energi Simulation","keywords":"Geomechanics; Mechanics; Petroleum engineering; Reservoir simulation; Enhanced oil recovery; Compaction; Tight gas; Flow (mathematics); Discretization; Geology; Geotechnical engineering; Physics; Mathematics; Hydraulic fracturing","authors":[{"name":"Ye Tian","is_ca":false},{"name":"Yi Xiong","is_ca":false},{"name":"Lei Wang","is_ca":false},{"name":"Zhengdong Lei","is_ca":false},{"name":"Yuan Zhang","is_ca":false},{"name":"Xiaolong Yin","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02143276616260626,"gpt":0.2573945635305729,"spread":0.2359617973679666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001787683,0.0005318786,0.0005190196,0.0003964826,0.0005310162,0.0005251657,0.0009249009,0.001339048,0.002386944],"category_scores_gemma":[0.0004543341,0.0002593073,0.0006672194,0.000208006,0.0005418812,0.0005455316,0.0005862179,0.0004420497,0.0002228352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008487505,"about_ca_system_score_gemma":0.001092136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555968,"about_ca_topic_score_gemma":0.006982934,"domain_scores_codex":[0.9999062,0.0000154541,0.000004069208,0.00001836213,0.00002881823,0.00002706597],"domain_scores_gemma":[0.9998266,0.00006270242,0.00003066299,0.00001329824,0.00004796012,0.00001882955],"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":[0.00002918297,0.00003197563,0.0006992741,0.00003233078,0.000006825779,0.00007687473,0.00002517762,0.9878709,0.007418498,0.002482991,0.0001048982,0.001221058],"study_design_scores_gemma":[0.000003115719,0.00001027245,0.00006992551,0.000001359486,0.000001818311,0.000003931141,0.000003785679,0.999083,0.0005827785,0.0001329381,0.0001048276,0.000002221209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7300141,0.0004733463,0.2384332,0.0004657909,0.0000888313,0.0002343538,0.001082475,0.0009181566,0.02828967],"genre_scores_gemma":[0.9849567,0.0001559059,0.008989508,0.00004865029,0.000008755685,0.0001669905,0.0002379426,0.00005384274,0.005381651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555968,"threshold_uncertainty_score":0.03093821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586428896","doi":"10.2118/182727-ms","title":"A Discrete Imaging Formulation for History Matching Complex Geologic Facies","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Facies; Regularization (linguistics); Computer science; Algorithm; Calibration; Parametric statistics; Mathematical optimization; Geology; Artificial intelligence; Mathematics; Structural basin","authors":[{"name":"Mohammadreza M. Khaninezhad","is_ca":false},{"name":"Behnam Jafarpour","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.109884759662956,"gpt":0.3142684611060149,"spread":0.2043837014430589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007535776,0.0006345009,0.0005938997,0.0007310142,0.0002354849,0.001194455,0.001244544,0.001562089,0.003089134],"category_scores_gemma":[0.001978156,0.0005425107,0.0006024902,0.000676613,0.0009417757,0.001187128,0.001026469,0.001243112,0.0002821788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008600693,"about_ca_system_score_gemma":0.00100038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752538,"about_ca_topic_score_gemma":0.003962976,"domain_scores_codex":[0.9997849,0.00005607027,0.00001112471,0.00006230282,0.00006686744,0.00001877107],"domain_scores_gemma":[0.9995058,0.0002648822,0.00007650929,0.00004129146,0.00007307359,0.00003852063],"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":[0.00003020748,0.00002482488,0.0005054245,0.00008535739,0.00001704844,0.0001092115,0.00005276923,0.9377789,0.002763756,0.03758726,0.0008487231,0.02019647],"study_design_scores_gemma":[0.000002094262,0.000003044296,0.00003055338,0.000002394575,0.000001145971,0.000009600177,0.000002971793,0.9971698,0.0001363173,0.002417365,0.0002226698,0.000002106304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008815746,0.0001090935,0.9893042,0.0002174495,0.0000195044,0.0000201287,0.00008255702,0.00008229479,0.001349107],"genre_scores_gemma":[0.5169439,0.0004819745,0.4741998,0.0002375007,0.0001103585,0.0001781006,0.0005617688,0.0002415253,0.007044946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004752538,"threshold_uncertainty_score":0.01033419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2931839700","doi":"10.2118/193878-ms","title":"Accelerated Compositional Simulation of Tight Oil and Shale Gas Reservoirs Using Proxy Flash Calculation","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation","keywords":"Computer science; Flash (photography); Simulation; Flash evaporation; Real-time computing; Engineering","authors":[{"name":"Shihao Wang","is_ca":false},{"name":"Nicolas Sobecki","is_ca":false},{"name":"Didier Yu Ding","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false},{"name":"Lingchen Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05727528681898833,"gpt":0.3229665925158458,"spread":0.2656913056968575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349178,0.0004716015,0.0004272757,0.0002327674,0.0002915537,0.0003705591,0.0008262305,0.0006074463,0.002452262],"category_scores_gemma":[0.0008757989,0.0002403941,0.0003123021,0.0002478945,0.000420655,0.0005396422,0.0005850897,0.0004337283,0.0001806739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308978,"about_ca_system_score_gemma":0.0009650123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007439512,"about_ca_topic_score_gemma":0.004774703,"domain_scores_codex":[0.9999158,0.00002336787,0.000003767863,0.0000107461,0.00002654245,0.00001959296],"domain_scores_gemma":[0.9997705,0.0001051015,0.00001836541,0.00003165146,0.00004130342,0.00003306925],"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":[0.0000454065,0.00002382303,0.001158617,0.00002439223,0.00001335057,0.0000742523,0.00001814547,0.9903855,0.003847449,0.001468177,0.0002385358,0.002702425],"study_design_scores_gemma":[0.000005242247,0.000006003151,0.00007637874,8.3021e-7,0.000001069878,0.000002653208,0.00000229442,0.9989704,0.0007059525,0.000126047,0.0001019132,0.000001336269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7735803,0.0002446136,0.2056027,0.0003599067,0.0001123034,0.00009505131,0.0007004992,0.002480967,0.01682377],"genre_scores_gemma":[0.97706,0.00006252323,0.02088722,0.000038686,0.000009598614,0.00005572011,0.0002395851,0.0001265923,0.001520121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007439512,"threshold_uncertainty_score":0.01479244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586167452","doi":"10.2118/182611-ms","title":"Simulation of Dynamic Steam-Trap Control Technique - Formulation, Implementation, and Performance Analysis","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Trap (plumbing); Steam-assisted gravity drainage; Wellbore; Inflow; Computer simulation; Steam injection; Engineering; Process engineering; Environmental science; Nuclear engineering; Mechanics; Simulation; Oil sands; Materials science; Environmental engineering","authors":[{"name":"Mohammad Heidari","is_ca":false},{"name":"Long X. Nghiem","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0282510794034532,"gpt":0.347227145048413,"spread":0.3189760656449598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003335817,0.0005896194,0.0005966571,0.0004294255,0.0003877784,0.0006437436,0.0008901958,0.000947563,0.003551449],"category_scores_gemma":[0.0006535168,0.0002232946,0.0004512657,0.0003722672,0.0004635694,0.0003861346,0.0003878436,0.0005179528,0.0002027574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007823928,"about_ca_system_score_gemma":0.0006699472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616289,"about_ca_topic_score_gemma":0.006871701,"domain_scores_codex":[0.9998616,0.00003029601,0.000008205921,0.00002147139,0.00004162251,0.00003673878],"domain_scores_gemma":[0.999498,0.0002364536,0.00005024803,0.00004289032,0.0001406639,0.00003160333],"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":[0.00005290667,0.00005677898,0.0007661362,0.00002828918,0.000006561583,0.00003625377,0.00001669388,0.9936354,0.002431561,0.0005710305,0.0001268193,0.002271594],"study_design_scores_gemma":[0.000006854044,0.00002738336,0.0001282592,0.00000131001,0.000001820641,0.00000223233,0.000005660762,0.9987973,0.0008852591,0.00005102719,0.00009074598,0.00000211727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733128,0.0002177841,0.1053794,0.0002007841,0.00006303711,0.0002266082,0.0007521576,0.001026569,0.01882075],"genre_scores_gemma":[0.9868822,0.00005816637,0.01099128,0.00001388406,0.00000407519,0.0001022986,0.0001947298,0.00003063557,0.001722828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616289,"threshold_uncertainty_score":0.03213757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2933023846","doi":"10.2118/193842-ms","title":"Design of Warm Solvent Injection Processes for Heterogeneous Heavy Oil Reservoirs: A Hybrid Workflow of Multi-Objective Optimization and Proxy Models","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta; Government of Alberta","keywords":"Multi-objective optimization; Computer science; Workflow; Petroleum engineering; Process engineering; Oil shale; Sorting; Environmental science; Reservoir simulation; Mathematical optimization; Engineering; Algorithm; Waste management; Mathematics","authors":[{"name":"Zhiwei Ma","is_ca":true},{"name":"Juliana Y. Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05605636382724005,"gpt":0.296590036822549,"spread":0.2405336729953089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009167796,0.0009970935,0.001148395,0.000820419,0.0004505024,0.001327751,0.0009210737,0.001098218,0.001018815],"category_scores_gemma":[0.0009600501,0.0005530632,0.001252272,0.00063556,0.0006255768,0.0005991329,0.0009478009,0.0006594735,0.0001357828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008603623,"about_ca_system_score_gemma":0.001530383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0058066,"about_ca_topic_score_gemma":0.003894007,"domain_scores_codex":[0.9997291,0.00008808755,0.00001694695,0.00004707407,0.00006126065,0.00005751372],"domain_scores_gemma":[0.9995337,0.0002459388,0.00008330669,0.00003175934,0.00006668712,0.00003865109],"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":[0.000009842898,0.00001634743,0.0001966979,0.00001599432,0.000006701145,0.00001663745,0.00000590577,0.9965639,0.0007914933,0.0005043963,0.00001964642,0.001852571],"study_design_scores_gemma":[0.000002618603,0.0000166588,0.00004400259,0.00000210448,0.000003027423,0.000001710861,0.000004843145,0.999313,0.0004000815,0.0001424621,0.00006777111,0.000001759347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1802561,0.0003731025,0.813138,0.00018613,0.00003372911,0.0002471932,0.0001266425,0.0003541835,0.005284981],"genre_scores_gemma":[0.890033,0.0002111588,0.1075535,0.0000475215,0.000009427531,0.0003492406,0.0001248124,0.00003630932,0.00163503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0058066,"threshold_uncertainty_score":0.0115456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2927726563","doi":"10.2118/193907-ms","title":"Analysis of Near-Miscible CO2-WAG Displacements: The Distinction between Compositional and Interfacial Tension Effects","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation; Heriot-Watt University","keywords":"Viscous fingering; Surface tension; Permeability (electromagnetism); Enhanced oil recovery; Dimensionless quantity; Mechanics; Flow (mathematics); Displacement (psychology); Relative permeability; Multiphase flow; Materials science; Thermodynamics; Petroleum engineering; Chemistry; Geology; Physics; Porous medium; Composite material; Porosity","authors":[{"name":"G. Wang","is_ca":false},{"name":"Gillian Elizabeth Pickup","is_ca":false},{"name":"K. S. Sorbie","is_ca":false},{"name":"Eric Mackay","is_ca":false},{"name":"Arne Skauge","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01518846027991493,"gpt":0.275856602583851,"spread":0.2606681423039361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001278547,0.0003155479,0.0002503896,0.0002635912,0.0001920269,0.0003259469,0.0003116329,0.0004334042,0.0005221706],"category_scores_gemma":[0.0004968395,0.0001405206,0.0002340523,0.0002218714,0.0003872029,0.0003386716,0.0002456907,0.0003101063,0.00004417002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471794,"about_ca_system_score_gemma":0.0003022568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004375705,"about_ca_topic_score_gemma":0.002178692,"domain_scores_codex":[0.9999515,0.000007008063,0.000002753226,0.00001015365,0.00001244705,0.00001626547],"domain_scores_gemma":[0.9998538,0.00007430827,0.00002326008,0.0000141837,0.0000199016,0.00001452083],"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":[0.0001792578,0.0001239905,0.00740147,0.0001021677,0.00002659705,0.0003453753,0.000148929,0.8395608,0.1439243,0.002601592,0.00010032,0.005485159],"study_design_scores_gemma":[0.000007499461,0.00005743764,0.001743899,0.000003473258,0.000005267018,0.00001608978,0.00003188945,0.9751865,0.02261078,0.000176588,0.0001536643,0.000006877949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940752,0.00007154831,0.004747544,0.00003348337,0.000005176457,0.00001298478,0.00005890081,0.00004352112,0.0009515897],"genre_scores_gemma":[0.9988777,0.00003058193,0.0009030947,0.000003806362,7.469561e-7,0.000008188847,0.00002386644,0.000004432591,0.0001475529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004375705,"threshold_uncertainty_score":0.00870043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586982273","doi":"10.2118/182655-ms","title":"Equation-of-State Approach to Model Relative Permeability Including Hysteresis and Wettability Alteration","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Abu Dhabi National Oil Company; CMG Reservoir Simulation Foundation; Pennsylvania State University","keywords":"Relative permeability; Wetting; Hysteresis; Permeability (electromagnetism); Materials science; Chemistry; Composite material; Physics; Porosity","authors":[{"name":"Saeid Khorsandi","is_ca":false},{"name":"Liwei Li","is_ca":false},{"name":"Russell T. Johns","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1267195089325033,"gpt":0.3414834228902158,"spread":0.2147639139577125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041307,0.0004461952,0.0004957989,0.000434452,0.0003888575,0.0005685881,0.0009721901,0.001385678,0.002981885],"category_scores_gemma":[0.001003662,0.0004562052,0.0008775255,0.0003340629,0.0005501633,0.001090547,0.000527097,0.001137611,0.0005165841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179206,"about_ca_system_score_gemma":0.0007857269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007322955,"about_ca_topic_score_gemma":0.005421076,"domain_scores_codex":[0.9998492,0.00002758944,0.0000111964,0.0000299935,0.00006524987,0.00001677314],"domain_scores_gemma":[0.9996963,0.000150844,0.00002972354,0.00003252159,0.00008347676,0.000007306162],"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":[0.000008109394,0.00002573653,0.0003973034,0.00003037509,0.000009071176,0.00003715466,0.0000296482,0.9799442,0.004358018,0.01118005,0.0002647267,0.003715631],"study_design_scores_gemma":[0.000001223684,0.000001986492,0.00002644101,9.962824e-7,8.611448e-7,0.000002164018,0.000001174881,0.9990343,0.0002494152,0.000434676,0.0002455832,0.000001154407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06245909,0.0002361824,0.9171846,0.0003784423,0.00009178581,0.0001784261,0.0004316483,0.0005824663,0.01845728],"genre_scores_gemma":[0.8456742,0.0004449938,0.1340434,0.0002398288,0.00005162668,0.0008273483,0.0004256116,0.0002626925,0.01803016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007322955,"threshold_uncertainty_score":0.0145607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586337389","doi":"10.2118/182624-ms","title":"Evaluation of Reservoir and Production System Integration in Production Strategy Selection","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Universidade Estadual de Campinas; Petrobras; CMG Reservoir Simulation Foundation","keywords":"Production (economics); Integrated production; Submarine pipeline; Computer science; Lift (data mining); Benchmark (surveying); Artificial lift; Gas lift; Petroleum engineering; Engineering; Geology","authors":[{"name":"João Carlos von Hohendorff Filho","is_ca":false},{"name":"Denis José Schiozer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1161220164716868,"gpt":0.366021259106159,"spread":0.2498992426344722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002934085,0.001091997,0.0007253306,0.0006585882,0.0002333142,0.001083871,0.0007635134,0.0006950473,0.00106527],"category_scores_gemma":[0.006066615,0.0004989117,0.0005908213,0.0004625447,0.0003802878,0.0008697378,0.0007923198,0.0005972104,0.00008409205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009416452,"about_ca_system_score_gemma":0.001525823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017207,"about_ca_topic_score_gemma":0.004841144,"domain_scores_codex":[0.9991639,0.000397126,0.00004962316,0.00009755555,0.0001713158,0.0001205375],"domain_scores_gemma":[0.9956345,0.003076303,0.0003803858,0.0002307174,0.0005289093,0.0001492563],"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":[0.0001675876,0.0001994925,0.005757106,0.0000624608,0.00008645935,0.00006126281,0.00003091913,0.9751194,0.002767322,0.0003655787,0.00005973713,0.01532274],"study_design_scores_gemma":[0.00003229069,0.0003993375,0.002643126,0.00001125492,0.0000717103,0.00001091225,0.00003610338,0.9928674,0.003594974,0.0001316233,0.0001905235,0.00001088184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416447,0.0001681194,0.05514351,0.00009124626,0.00001618266,0.0001542321,0.00008804104,0.0002405491,0.002453475],"genre_scores_gemma":[0.9817488,0.00002411681,0.01790368,0.00001162002,0.000002360917,0.00003647623,0.00005368391,0.00001576044,0.0002033635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008017207,"threshold_uncertainty_score":0.01594108,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587484956","doi":"10.2118/182605-ms","title":"Coupled Reservoir-Geomechanical Simulation of Caprock Failure and Fault Reactivation During CO2 Sequestration in Deep Saline Aquifers","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Energy Technology Laboratory; CMG Reservoir Simulation Foundation; Colorado School of Mines","keywords":"Caprock; Geology; Aquifer; Geotechnical engineering; Petroleum engineering; Carbon sequestration; Shear stress; Groundwater; Carbon dioxide; Materials science; Composite material","authors":[{"name":"Philip H. Winterfeld","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04119708284819799,"gpt":0.322103519873363,"spread":0.280906437025165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198555,0.0003985604,0.0004316408,0.0003756398,0.0005247534,0.0005209173,0.0008604619,0.001136159,0.002093543],"category_scores_gemma":[0.000974897,0.00025945,0.0003720632,0.0004461376,0.000849999,0.0003923702,0.0006354286,0.0005185812,0.0001038561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184575,"about_ca_system_score_gemma":0.00116756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03515724,"about_ca_topic_score_gemma":0.02461362,"domain_scores_codex":[0.9998801,0.00003176604,0.000006221793,0.00001745942,0.00002302249,0.00004149562],"domain_scores_gemma":[0.999459,0.0002956933,0.00004338949,0.00003539628,0.00007224471,0.00009431764],"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":[0.00008500375,0.00009349325,0.004944709,0.00001162491,0.00001495086,0.0001060159,0.00003218966,0.9919105,0.001320784,0.0004481695,0.0001377503,0.0008948349],"study_design_scores_gemma":[0.0000204069,0.00003557621,0.00095216,0.00000134762,0.000003593361,0.000006211863,0.00002925242,0.9982775,0.0004924642,0.000103869,0.00007296417,0.00000464512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945334,0.00001766395,0.002065125,0.00009053074,0.000009741161,0.00002434964,0.0002285526,0.000112106,0.002918407],"genre_scores_gemma":[0.9984681,0.000008846234,0.0009407002,0.00001682952,0.000001610464,0.00001620061,0.00008806643,0.00001129183,0.00044821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03515724,"threshold_uncertainty_score":0.06990516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587367577","doi":"10.2118/182708-ms","title":"Numerical Modelling of Hybrid Steam and In-Situ Combustion Performance for Oil Sands","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Nexen (Canada); University of Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Steam injection; Enhanced oil recovery; Secondary air injection; Petroleum engineering; Combustion; Oil sands; Residual oil; Water injection (oil production); Superheated steam; Boiler (water heating); Environmental science; Waste management; Nuclear engineering; Materials science; Engineering; Chemistry; Composite material","authors":[{"name":"Min Yang","is_ca":true},{"name":"Thomas G. Harding","is_ca":true},{"name":"Zhangxin Chen","is_ca":true},{"name":"K Semeonov Yu.","is_ca":true},{"name":"Hui Liu","is_ca":true},{"name":"Bo Yang","is_ca":true},{"name":"Ruijian He","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06604251702652911,"gpt":0.3076431117870692,"spread":0.2416005947605401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775974,0.000555238,0.0006088165,0.0004560387,0.0004322405,0.0007148951,0.0006806805,0.00132426,0.001610513],"category_scores_gemma":[0.0006848149,0.0002647091,0.0006407034,0.0003515316,0.0005924292,0.0003328361,0.0003776532,0.0003744981,0.0002114704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008457498,"about_ca_system_score_gemma":0.0007328169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283997,"about_ca_topic_score_gemma":0.00509704,"domain_scores_codex":[0.9998833,0.00002506602,0.000007527555,0.00001887379,0.00003909867,0.00002616518],"domain_scores_gemma":[0.9996694,0.0001572928,0.00005831864,0.00002437827,0.00006764875,0.00002295195],"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":[0.00004902124,0.00004699719,0.001178266,0.00002920427,0.000008369302,0.00007816579,0.00002201857,0.9885655,0.008394366,0.0005160271,0.00005247287,0.00105961],"study_design_scores_gemma":[0.00000384651,0.0000180242,0.0001584248,0.000001679368,0.000001547751,0.000004068299,0.000005759106,0.9983529,0.001347194,0.00004181837,0.00006237131,0.000002395709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372228,0.000209376,0.05111621,0.0001430601,0.0000532442,0.00007838222,0.000327563,0.0003122711,0.0105371],"genre_scores_gemma":[0.9923808,0.00006814837,0.005549037,0.000009947336,0.000003317881,0.00004255247,0.00008136038,0.00001678636,0.001847989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283997,"threshold_uncertainty_score":0.02553046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408586636","doi":"10.2118/223871-ms","title":"Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO2 Storage Using Fourier Neural Operator Based Gated Recurrent Network","year":2025,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Geomechanics; Operator (biology); Computer science; Fourier transform; Flow (mathematics); Boundary (topology); Geology; Geotechnical engineering; Mechanics; Mathematics; Physics; Mathematical analysis; Chemistry","authors":[{"name":"Shouxu Qiao","is_ca":true},{"name":"W. BenSaleh","is_ca":true},{"name":"Bo Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03895122398248436,"gpt":0.2970833538757554,"spread":0.2581321298932711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003972468,0.00076925,0.0005871802,0.0002657446,0.0002460906,0.0005528281,0.0009458388,0.0007683028,0.001203916],"category_scores_gemma":[0.0009835256,0.0003258587,0.000700057,0.0002388064,0.0004170002,0.0005448896,0.0005500251,0.0008304513,0.0001841492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364408,"about_ca_system_score_gemma":0.0009370418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023415,"about_ca_topic_score_gemma":0.01854952,"domain_scores_codex":[0.9998897,0.00002490512,0.000005606478,0.00003261713,0.00002413252,0.00002307252],"domain_scores_gemma":[0.999769,0.0001105833,0.00002885318,0.00001898965,0.00005297441,0.00001963695],"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":[0.0000232735,0.0000149373,0.0005053956,0.000008100253,0.00001101777,0.0000288823,0.000006278078,0.9946779,0.0007000918,0.0004175296,0.0001409577,0.003465706],"study_design_scores_gemma":[5.684008e-7,0.000001908377,0.00002262691,3.103632e-7,6.3852e-7,8.197673e-7,4.341714e-7,0.9998386,0.00005471989,0.00006657121,0.00001215564,5.94491e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.405729,0.0005715227,0.5844783,0.0005209916,0.0001372374,0.00007165124,0.0005350923,0.001592912,0.006363315],"genre_scores_gemma":[0.9831292,0.00007346672,0.01493124,0.00005843731,0.00001375969,0.0000590552,0.0002761538,0.00003671513,0.001422011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.023415,"threshold_uncertainty_score":0.04655743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2929713848","doi":"10.2118/193896-ms","title":"Artificial Neural Network Accelerated Flash Calculation for Compositional Simulations","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Energi Simulation; University of Calgary","keywords":"Flash evaporation; Artificial neural network; Computation; Nonlinear system; Phase (matter); Computer science; Stability (learning theory); Saturation (graph theory); Algorithm; Applied mathematics; Statistical physics; Thermodynamics; Mathematics; Physics; Artificial intelligence; Machine learning","authors":[{"name":"Kun Wang","is_ca":true},{"name":"Jia Luo","is_ca":true},{"name":"Lin Yan","is_ca":false},{"name":"Yizheng Wei","is_ca":false},{"name":"Keliu Wu","is_ca":false},{"name":"Jing Li","is_ca":true},{"name":"Fuli Chen","is_ca":false},{"name":"Xiaohu Dong","is_ca":false},{"name":"Zhangxin Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05937791199828642,"gpt":0.3028046285336798,"spread":0.2434267165353934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447323,0.0004235848,0.0003556298,0.0003531658,0.0003297278,0.0002897318,0.0006781795,0.0006096369,0.003980718],"category_scores_gemma":[0.0009287565,0.0001977923,0.0002589478,0.0003720045,0.0002409126,0.0005449353,0.0003378378,0.0005660758,0.0003407701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281586,"about_ca_system_score_gemma":0.0007519377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008157286,"about_ca_topic_score_gemma":0.006443519,"domain_scores_codex":[0.9999198,0.00001866497,0.000004315282,0.000008332198,0.00003594493,0.00001295529],"domain_scores_gemma":[0.9996601,0.0001461814,0.00002145117,0.00002340821,0.0001310569,0.00001775553],"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":[0.00004272531,0.00002477361,0.000550527,0.00004213482,0.000009499417,0.00004658641,0.00001447284,0.9828693,0.00203686,0.002272142,0.0004359046,0.01165511],"study_design_scores_gemma":[0.000001638064,0.000002337903,0.00003325178,8.390758e-7,4.476262e-7,0.000001022022,0.000001092784,0.9995235,0.0002238588,0.0001444387,0.00006693576,6.796054e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3615964,0.0005057545,0.5979362,0.0008153195,0.0002910759,0.0001320646,0.000432887,0.001618265,0.036672],"genre_scores_gemma":[0.9260899,0.0001378272,0.06724371,0.00009640772,0.00002643154,0.0001634126,0.0002131499,0.0001154337,0.005913698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008157286,"threshold_uncertainty_score":0.01621962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586147953","doi":"10.2118/182622-ms","title":"Non-Equilibrium Reservoir Simulation of Solvent-Steam Processes, Based on Mass and Heat Transfer Inside a Pore","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Steam injection; Solvent; Mass transfer; Dissolution; Petroleum engineering; Drop (telecommunication); Heat transfer; Isothermal process; Thermodynamics; Chemistry; Thermal equilibrium; Thermal; Mechanics; Materials science; Organic chemistry; Chromatography; Geology; Mechanical engineering; Engineering","authors":[{"name":"Bita Bayestehparvin","is_ca":true},{"name":"Jalal Abedi","is_ca":true},{"name":"S.M. Farouq Ali","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03410788725232868,"gpt":0.2957475966088102,"spread":0.2616397093564816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002202243,0.0002711812,0.0005050768,0.000312614,0.0003874894,0.0007214954,0.000762735,0.0009591239,0.002434225],"category_scores_gemma":[0.0008741495,0.0002218033,0.0004239615,0.0003029607,0.0006637255,0.0005363817,0.0004430619,0.000566574,0.0001370731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006373768,"about_ca_system_score_gemma":0.0009266196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01291001,"about_ca_topic_score_gemma":0.007051765,"domain_scores_codex":[0.9999248,0.00001508536,0.000004277342,0.00001197383,0.00002106332,0.00002270838],"domain_scores_gemma":[0.9994823,0.0003446599,0.00004731911,0.00003033435,0.00005416674,0.0000411547],"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":[0.0001283454,0.0001020686,0.001348108,0.00003564012,0.00001312169,0.00009910538,0.00004795262,0.9886902,0.006710009,0.001423285,0.00007566725,0.001326515],"study_design_scores_gemma":[0.000008759416,0.00002124439,0.0001370947,0.00000103105,0.000001663941,0.000002871443,0.000006029561,0.9988913,0.0008192254,0.0000526896,0.00005645274,0.000001696981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788405,0.000067773,0.01476083,0.00009791391,0.00002201409,0.00005432388,0.0002098772,0.0001584792,0.005788223],"genre_scores_gemma":[0.9946194,0.00005010029,0.003711713,0.00001089278,0.000003988985,0.00003440992,0.00008212149,0.00001799986,0.001469435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01291001,"threshold_uncertainty_score":0.02566975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586432617","doi":"10.2118/182631-ms","title":"Unveiling the Causes of Fingering in Steam-Assisted Heavy Oil Recovery - Linear Instability Analysis and Numerical Simulation","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Viscous fingering; Instability; Steam injection; Petroleum engineering; Enhanced oil recovery; Mechanics; Materials science; Environmental science; Geology; Geotechnical engineering; Physics; Porous medium","authors":[{"name":"Da Zhu","is_ca":false},{"name":"Ian D. Gates","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04917125385460974,"gpt":0.3243855047514665,"spread":0.2752142508968567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002428658,0.000255434,0.0002985482,0.0003800468,0.0003407904,0.0004519094,0.0004352879,0.000623263,0.001642397],"category_scores_gemma":[0.0009283407,0.0001296876,0.0003772763,0.0002086432,0.0005503569,0.0003773213,0.0003771328,0.0004037028,0.00012344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004586862,"about_ca_system_score_gemma":0.0004988498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007247083,"about_ca_topic_score_gemma":0.004155005,"domain_scores_codex":[0.9999152,0.00001996914,0.000004405487,0.000009636537,0.00002532919,0.00002548505],"domain_scores_gemma":[0.9995926,0.000221451,0.0000666041,0.00003197773,0.00006509212,0.00002226189],"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":[0.00008742767,0.00008913878,0.003892783,0.00006492582,0.00001765172,0.0002408659,0.0001331183,0.9638964,0.02218776,0.005009274,0.0002090896,0.004171486],"study_design_scores_gemma":[0.00000276254,0.00001020747,0.0002070006,0.000001686911,0.000001196753,0.000006149039,0.00001279473,0.9981377,0.001397774,0.0001556666,0.00006463682,0.000002376544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467133,0.0001231966,0.04407929,0.0002003479,0.00002557282,0.00005515387,0.0001194439,0.000184936,0.008498706],"genre_scores_gemma":[0.9934584,0.00003339625,0.005486479,0.00001454429,0.000002675911,0.00002028483,0.0000287534,0.00001238557,0.000942882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007247083,"threshold_uncertainty_score":0.01440984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206232621","doi":"10.2118/203911-ms","title":"Theoretical and Numerical Investigation of Supersonic Multiphase Gas Injection","year":2021,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Multiphase flow; Mechanics; Supersonic speed; Computational fluid dynamics; Petroleum engineering; Shock wave; Isentropic process; Enhanced oil recovery; Flow (mathematics); Two-phase flow; Compressible flow; Materials science; Computer simulation; Choked flow; Compressibility; Shock (circulatory); Geology; Physics","authors":[{"name":"Da Zhu","is_ca":false},{"name":"Mohan Sivagnanam","is_ca":true},{"name":"Ian D. Gates","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520057247463198,"gpt":0.2523181743192273,"spread":0.2371176018445953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000316778,0.0002789084,0.0003529988,0.0005745279,0.0004253833,0.0005218931,0.0005426521,0.0006564007,0.001943061],"category_scores_gemma":[0.001014813,0.0001984644,0.0003228468,0.0003470191,0.0007505403,0.0004645264,0.0003919194,0.0003990621,0.000166472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814818,"about_ca_system_score_gemma":0.0006684153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005880074,"about_ca_topic_score_gemma":0.002254212,"domain_scores_codex":[0.9998744,0.00002850565,0.000004377132,0.00001022523,0.00005649316,0.00002600028],"domain_scores_gemma":[0.9996415,0.0002016887,0.0000440299,0.00002048604,0.00007316616,0.00001919364],"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":[0.00007563619,0.00008063795,0.001109413,0.00009690305,0.000009407194,0.0001949431,0.00007195772,0.9532061,0.01376874,0.02621947,0.0002733489,0.004893492],"study_design_scores_gemma":[0.00000245431,0.00001178433,0.00008225425,0.00000194435,8.658764e-7,0.000005010279,0.000004978267,0.9986416,0.0007739374,0.0003759197,0.00009781489,0.000001481321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8104453,0.0009787305,0.1198131,0.0005840638,0.000106961,0.0001481411,0.0001548702,0.0003677513,0.06740112],"genre_scores_gemma":[0.9901062,0.0002179965,0.007181986,0.00002613072,0.00001239703,0.00004152672,0.00003838386,0.00001776686,0.002357668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005880074,"threshold_uncertainty_score":0.01169175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2928304931","doi":"10.2118/193872-ms","title":"An Adaptive Preconditioning Strategy to Speed up Parallel Reservoir Simulations","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Energi Simulation; University of Calgary","keywords":"Preconditioner; Computer science; Linear system; Multigrid method; Computation; Parallel computing; Mathematical optimization; Computational science; Iterative method; Algorithm; Mathematics","authors":[{"name":"Kun Wang","is_ca":true},{"name":"Hui Liu","is_ca":true},{"name":"Lin Yan","is_ca":false},{"name":"Jia Luo","is_ca":true},{"name":"Keliu Wu","is_ca":false},{"name":"Jing Li","is_ca":true},{"name":"Fuli Chen","is_ca":false},{"name":"Xiaohu Dong","is_ca":false},{"name":"Zhangxin Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09751414215370148,"gpt":0.3783918791366508,"spread":0.2808777369829494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003707178,0.000543242,0.0005190423,0.0004196937,0.0003313712,0.0002671398,0.0006708599,0.0004417186,0.002580964],"category_scores_gemma":[0.001182009,0.0002096263,0.0002556581,0.0003618751,0.0004347637,0.0004271763,0.0007325766,0.000509662,0.0003311713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057958,"about_ca_system_score_gemma":0.0004510388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279244,"about_ca_topic_score_gemma":0.00269904,"domain_scores_codex":[0.9997967,0.00005758006,0.00001542789,0.00003085206,0.00006428827,0.00003533824],"domain_scores_gemma":[0.9995772,0.00013649,0.00004849943,0.00008090422,0.0001230142,0.00003392784],"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":[0.0003157591,0.0001665138,0.001389499,0.0001276877,0.00004818827,0.000245137,0.0001325785,0.7485602,0.07221025,0.01073582,0.001995435,0.1640729],"study_design_scores_gemma":[0.000009080948,0.00002535202,0.00006617246,0.000001526008,0.000003132795,0.000008678383,0.000002926605,0.996264,0.002887329,0.0004198858,0.0003093399,0.000002502341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07234488,0.0001188477,0.9221919,0.00009216923,0.00008394793,0.00009799702,0.00003128331,0.001286878,0.003752065],"genre_scores_gemma":[0.6964585,0.00007570806,0.301859,0.00006102972,0.00003715986,0.0001016464,0.00005468035,0.0001314842,0.001220679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00279244,"threshold_uncertainty_score":0.00863421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207813570","doi":"10.2118/203953-ms","title":"JFTS+H: A Julia-Based Parallel Simulator for the Description of the Coupled flow, Thermal and Geochemical Processes in Hydrate-Bearing Geologic Media","year":2021,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hydrate; Computer science; Clathrate hydrate; Porous medium; Multiphase flow; Dissociation (chemistry); Simulation; Geology; Thermodynamics; Chemistry; Geotechnical engineering; Porosity; Physics","authors":[{"name":"Kotaro Anno","is_ca":false},{"name":"George J. Moridis","is_ca":false},{"name":"T. A. Blasingame","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04698274274368643,"gpt":0.2609380419750458,"spread":0.2139552992313594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094461,0.001076099,0.0009731028,0.0004961584,0.0005889817,0.001049777,0.003687692,0.001263176,0.008539856],"category_scores_gemma":[0.002329009,0.0006954611,0.001193042,0.000530943,0.0008473167,0.00105572,0.001265683,0.001688733,0.001491168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120811,"about_ca_system_score_gemma":0.002728631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201519,"about_ca_topic_score_gemma":0.005382313,"domain_scores_codex":[0.9996449,0.00009311974,0.00002546837,0.0000438254,0.0001324721,0.0000601754],"domain_scores_gemma":[0.998979,0.0004511897,0.00007374569,0.0001308732,0.0002594504,0.0001057911],"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":[0.0001567548,0.00009812423,0.001826814,0.0001409222,0.00008249087,0.0001425117,0.0001234332,0.9611832,0.004924865,0.01448957,0.005747598,0.01108376],"study_design_scores_gemma":[0.00004420899,0.00001224248,0.00008629062,0.000004162164,0.000005328527,0.00001064757,0.000005607018,0.994123,0.001238026,0.001156671,0.003306031,0.000007823663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08966712,0.0002768793,0.8511872,0.0003686624,0.0002368249,0.0007076202,0.006255154,0.03052371,0.02077689],"genre_scores_gemma":[0.4376433,0.0004833103,0.5300715,0.000321421,0.0001198393,0.001894528,0.009619811,0.006997087,0.01284911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01201519,"threshold_uncertainty_score":0.02856869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2932209195","doi":"10.2118/193870-ms","title":"Application of Algebraic Smoothing Aggregation Two Level Preconditioner to Multiphysical Fluid Flow Simulations in Porous Media","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation","keywords":"Preconditioner; Solver; Generalized minimal residual method; Smoothing; Multigrid method; Computer science; Linear system; Applied mathematics; Basis function; Mathematical optimization; Mathematics; Computational science; Algorithm; Iterative method; Mathematical analysis; Partial differential equation","authors":[{"name":"Shihao Wang","is_ca":false},{"name":"Alexander A. Lukyanov","is_ca":false},{"name":"Yu‐Shu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05322406460791921,"gpt":0.3410095696520938,"spread":0.2877855050441746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347382,0.0003868006,0.0005555009,0.0003572427,0.0004263507,0.0004035677,0.0004855824,0.000684933,0.001158192],"category_scores_gemma":[0.0008780353,0.000156336,0.0004704754,0.000361131,0.0005989473,0.0003223256,0.0007577419,0.0005620077,0.0001683303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632,"about_ca_system_score_gemma":0.0008869953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005640138,"about_ca_topic_score_gemma":0.00383767,"domain_scores_codex":[0.9996876,0.0001257009,0.00001606806,0.00003082172,0.0001084951,0.00003141453],"domain_scores_gemma":[0.9995321,0.0001784205,0.00004784308,0.00008585907,0.000117962,0.00003775748],"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":[0.0001010563,0.00007516697,0.001770189,0.00009326362,0.00003543367,0.0001806763,0.0001028622,0.9240187,0.02400252,0.0115147,0.0007664329,0.03733892],"study_design_scores_gemma":[0.000005777114,0.00001204858,0.00009094914,0.000001425505,0.000001372457,0.00000479046,0.000002660643,0.9977177,0.001528854,0.000358124,0.0002738207,0.000002347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.172031,0.0002264237,0.8185007,0.0003142255,0.0001258621,0.00009478704,0.00008188558,0.001357079,0.007268057],"genre_scores_gemma":[0.8038102,0.0001014689,0.1942372,0.00004809369,0.00003259875,0.00009061299,0.00006900471,0.00008530498,0.001525476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005640138,"threshold_uncertainty_score":0.01121461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930195251","doi":"10.2118/193909-ms","title":"Modeling the Effect of Reaction Kinetics and Dispersion during Low-Salinity Waterflooding","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Energi Simulation; John and Willie Leone Family Department of Energy and Mineral Engineering, College of Earth and Mineral Sciences, Pennsylvania State University; Pennsylvania State University","keywords":"Wetting; Salinity; Dispersion (optics); Kinetics; Chemical kinetics; Reaction rate; Chemistry; Chemical engineering; Chemical reaction; Thermodynamics; Materials science; Geology; Organic chemistry; Catalysis","authors":[{"name":"Daulet Magzymov","is_ca":false},{"name":"Prakash Purswani","is_ca":false},{"name":"Zuleima T. Karpyn","is_ca":false},{"name":"Russell T. Johns","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01407438746525892,"gpt":0.2558355009464351,"spread":0.2417611134811762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002844426,0.0006290324,0.0006397009,0.000400478,0.0004149503,0.0009315014,0.0009764582,0.001540841,0.001228529],"category_scores_gemma":[0.00100242,0.0003708945,0.0006999096,0.0002342517,0.0006809332,0.0009636483,0.0005781421,0.0006381159,0.0002072583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173095,"about_ca_system_score_gemma":0.0008760719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0166219,"about_ca_topic_score_gemma":0.00473636,"domain_scores_codex":[0.9998748,0.00002115507,0.0000084347,0.00003000119,0.0000273944,0.00003807574],"domain_scores_gemma":[0.9995896,0.0001863271,0.0001001817,0.00002280237,0.00005990742,0.00004114484],"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":[0.00003550728,0.00003936002,0.001297457,0.00003350256,0.000007972502,0.0000943917,0.00002071739,0.9843364,0.01196967,0.001239549,0.00003369378,0.0008918202],"study_design_scores_gemma":[0.000004386757,0.00001463691,0.0001330849,0.000001409108,0.000002899646,0.000006019993,0.00000525923,0.9983147,0.001285505,0.0001565001,0.00007288246,0.000002646414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219966,0.0003058582,0.07024046,0.0002268793,0.00005217409,0.00009127882,0.000221755,0.0001791094,0.006685819],"genre_scores_gemma":[0.9940916,0.0001444174,0.003353263,0.00002045451,0.000005206744,0.00004910435,0.00005881428,0.00002050195,0.002256561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0166219,"threshold_uncertainty_score":0.0330503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2929082203","doi":"10.2118/193844-ms","title":"A Bayesian Sampling Framework With Seismic Priors for Data Assimilation and Uncertainty Quantification","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Computer science; Sampling (signal processing); Markov chain Monte Carlo; Prior probability; Uncertainty quantification; Algorithm; Ensemble Kalman filter; Data assimilation; Bayesian probability; Posterior probability; Monte Carlo method; Data mining; Statistics; Machine learning; Artificial intelligence; Mathematics; Kalman filter","authors":[{"name":"Siavash Nejadi","is_ca":true},{"name":"Nasser Kazemi","is_ca":true},{"name":"Stephen M. Hubbard","is_ca":true},{"name":"Ian D. Gates","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09673851187301136,"gpt":0.3536737506584866,"spread":0.2569352387854753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003010459,0.000784795,0.0009026402,0.001117899,0.0005930742,0.001085115,0.001495095,0.0009020576,0.001577658],"category_scores_gemma":[0.008753088,0.0007015945,0.001023692,0.0009779577,0.001048796,0.001651284,0.001516937,0.001340568,0.0002486022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070883,"about_ca_system_score_gemma":0.0015685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257019,"about_ca_topic_score_gemma":0.008531458,"domain_scores_codex":[0.9989844,0.0004466211,0.00005587453,0.0001401185,0.000297332,0.00007561857],"domain_scores_gemma":[0.9970354,0.002006086,0.000238111,0.0002137564,0.0004165978,0.00009009386],"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":[0.00004229544,0.00002678221,0.0007629112,0.00003416271,0.0000417928,0.00004399473,0.00007013236,0.9236379,0.001416222,0.04314976,0.0002937443,0.03048027],"study_design_scores_gemma":[0.000002414636,0.000004153839,0.00004735342,0.000002642482,0.000002162865,0.000004176377,0.000002624144,0.9941236,0.0002297107,0.005390786,0.0001870114,0.000003281507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003437741,0.00003454767,0.9961727,0.00002919445,0.000005015865,0.00001201746,0.00002201725,0.00007143371,0.0002154291],"genre_scores_gemma":[0.3156796,0.0002459597,0.6818873,0.00007895469,0.00008064733,0.0002444613,0.0004106259,0.0001487062,0.001223724],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01257019,"threshold_uncertainty_score":0.02499408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207488165","doi":"10.2118/203921-ms","title":"Coupled Poroelastic Modeling to Characterize the 4.18-Magnitude Earthquake Due to Hydraulic Fracturing in the East Shale Basin of Western Canada","year":2021,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Poromechanics; Hydraulic fracturing; Geology; Induced seismicity; Seismology; Pore water pressure; Geotechnical engineering; Hydrogeology; Structural basin; Permeability (electromagnetism); Fault (geology); Petrology; Geomorphology; Porosity; Porous medium","authors":[{"name":"Gang Hui","is_ca":true},{"name":"Shengnan Chen","is_ca":true},{"name":"Fei Gu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03494564474099034,"gpt":0.2523025245232464,"spread":0.2173568797822561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320741,0.0006190166,0.0003423757,0.000702409,0.000781759,0.0006549406,0.0009529913,0.0008894607,0.001522704],"category_scores_gemma":[0.0003849895,0.0003469014,0.0005786027,0.0005178208,0.0005541674,0.000289127,0.0005010061,0.0003929658,0.0001023904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002718136,"about_ca_system_score_gemma":0.002938536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.620914,"about_ca_topic_score_gemma":0.5055645,"domain_scores_codex":[0.9999191,0.000007639445,0.000005039484,0.00001591778,0.00002291312,0.00002952698],"domain_scores_gemma":[0.9998801,0.0000310145,0.00001698858,0.00000885284,0.00004276472,0.00002023433],"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":[0.00004416162,0.00005144737,0.01100383,0.00001569984,0.00002383575,0.0001504502,0.0000475375,0.9837657,0.002642701,0.0002562623,0.00007477665,0.001923663],"study_design_scores_gemma":[0.000004496928,0.000007188567,0.002466018,8.515701e-7,0.000004007853,0.000004692608,0.00002682632,0.9972124,0.0001921178,0.00003328794,0.00004484049,0.000003346426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928531,0.000041719,0.004428453,0.00005504945,0.000005576126,0.00002402901,0.0002450714,0.0000893073,0.00225766],"genre_scores_gemma":[0.9984599,0.00002443561,0.0007931763,0.000006903782,0.000001589756,0.00001036322,0.0001000593,0.000005960912,0.0005975854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379086,"threshold_uncertainty_score":0.762637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2933232912","doi":"10.2118/193873-ms","title":"Multiscale Computations of Hydraulic Fracture Propagation in Low-Permeability Heterogeneous Rocks","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Saudi Aramco","keywords":"Poromechanics; Hydraulic fracturing; Brittleness; Permeability (electromagnetism); Finite element method; Multiscale modeling; Mechanics; Geotechnical engineering; Computation; Fracture mechanics; Geology; Fracture (geology); Materials science; Porous medium; Porosity; Structural engineering; Computer science; Engineering; Physics; Composite material","authors":[{"name":"Richard Wan","is_ca":true},{"name":"Mahdad Eghbalian","is_ca":true},{"name":"Mehdi Pouragha","is_ca":true},{"name":"Larry S. Fung","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02080329654795638,"gpt":0.2627515120840805,"spread":0.2419482155361242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664984,0.0003295929,0.0005480972,0.0004362797,0.0002894077,0.000670262,0.0007888336,0.0009537221,0.00107233],"category_scores_gemma":[0.0009649089,0.0002668781,0.0004127326,0.000306997,0.0006824255,0.0006398408,0.0006031633,0.0004651117,0.0001045737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784737,"about_ca_system_score_gemma":0.0004896687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007088101,"about_ca_topic_score_gemma":0.004630024,"domain_scores_codex":[0.9999187,0.00001634221,0.000005528647,0.00001579686,0.00002574204,0.00001787725],"domain_scores_gemma":[0.9997081,0.0001288663,0.00004684652,0.00003127742,0.0000411425,0.00004376406],"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":[0.00001993348,0.00002412057,0.000699473,0.00001379727,0.00001050533,0.00007324058,0.00002023917,0.9882338,0.004538424,0.004579045,0.00007747567,0.001709881],"study_design_scores_gemma":[0.000001735761,0.000003570906,0.0001105747,6.760075e-7,8.066497e-7,0.000004186554,0.000002039649,0.9992985,0.0001267015,0.0004244221,0.00002529385,0.000001470641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276082,0.0002438353,0.3652021,0.0003711286,0.00004137983,0.00005349838,0.0002173351,0.0005099263,0.005752576],"genre_scores_gemma":[0.9867208,0.00004681957,0.01241693,0.00001690809,0.000008674288,0.00002443819,0.0000402481,0.00002700896,0.0006981563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007088101,"threshold_uncertainty_score":0.0140937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930009718","doi":"10.2118/193893-ms","title":"A Geomechanically-Constrained Dynamic Fractal Wormhole Growth Model for Simulating Cold Heavy Oil Production with Sand","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Wormhole; Fractal; Computer science; Enhanced oil recovery; Fractal dimension; Petroleum engineering; Geology; Mathematics; Physics","authors":[{"name":"Haisheng Yu","is_ca":true},{"name":"Juliana Y. Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01535174975349884,"gpt":0.2483041075322883,"spread":0.2329523577787895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002600875,0.0004979424,0.0005210169,0.0005444849,0.0004353398,0.000766708,0.001071771,0.001598068,0.00154946],"category_scores_gemma":[0.0009815955,0.0003440992,0.0006899564,0.0003301952,0.0008247753,0.0005330729,0.0007361731,0.0005601707,0.0001263053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651179,"about_ca_system_score_gemma":0.001007916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03100935,"about_ca_topic_score_gemma":0.01322712,"domain_scores_codex":[0.9999084,0.00001819047,0.000005284996,0.00001862498,0.00002222632,0.00002732406],"domain_scores_gemma":[0.9995975,0.0002064255,0.00005703807,0.00001720858,0.00007216629,0.00004965288],"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":[0.0000105457,0.000008687832,0.0004980771,0.00001013552,0.000003975604,0.00004603197,0.00001100579,0.9969845,0.0006004408,0.001352967,0.00007116433,0.0004025648],"study_design_scores_gemma":[0.000002001394,0.000001938957,0.00004171985,0.000001330216,9.790156e-7,0.000002316332,0.00000360006,0.999679,0.00005322272,0.000160824,0.00005180214,0.000001315986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677811,0.0006483379,0.304769,0.0008059467,0.0001456961,0.0001872888,0.0009288359,0.0006196785,0.02411409],"genre_scores_gemma":[0.9857164,0.0001257573,0.01095544,0.00003602408,0.000009082025,0.0001009754,0.0001668626,0.00003566482,0.002853806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100935,"threshold_uncertainty_score":0.06165773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4327916676","doi":"10.2118/212166-ms","title":"A Mineral-Composition Dependent Fracture Numerical Model of Thermally Treated Shale Gas Reservoirs","year":2023,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Oil shale; Geology; Petroleum engineering; Shale gas; Permeability (electromagnetism); Cracking; Materials science; Mineralogy; Composite material; Chemistry","authors":[{"name":"Dongqi Ji","is_ca":false},{"name":"Zhengdong Lei","is_ca":false},{"name":"Jiandong Liu","is_ca":false},{"name":"Xu Han","is_ca":false},{"name":"Chenqi Ge","is_ca":false},{"name":"Zhiping Li","is_ca":false},{"name":"Zhangxin Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03080412690488011,"gpt":0.2710653437227198,"spread":0.2402612168178397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001715423,0.0004021379,0.0004766401,0.0003652763,0.0004767867,0.0005897094,0.001124851,0.001494471,0.001846491],"category_scores_gemma":[0.0004505633,0.0002990883,0.0005462658,0.0003098527,0.0006856832,0.0003934878,0.0004336191,0.0004574724,0.0001742231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462437,"about_ca_system_score_gemma":0.001050781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01926875,"about_ca_topic_score_gemma":0.009851949,"domain_scores_codex":[0.9999021,0.00002340091,0.000006894732,0.00001875688,0.00003057822,0.00001816721],"domain_scores_gemma":[0.9998393,0.00005847793,0.00003061666,0.00001435758,0.00004123113,0.00001593056],"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":[0.00001591841,0.00001805866,0.0004508657,0.00001659297,0.000006224162,0.00005472901,0.00001992273,0.9940586,0.002646699,0.001779343,0.00006714497,0.0008658297],"study_design_scores_gemma":[0.000002338695,0.000005065247,0.00006669139,0.000001310733,9.405684e-7,0.000004461049,0.000003831911,0.9995787,0.0001785839,0.0000926208,0.00006381794,0.000001706616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707633,0.000496187,0.2988748,0.0005175276,0.0001069413,0.0001858229,0.0008744163,0.0005640347,0.02761711],"genre_scores_gemma":[0.9828164,0.0001502362,0.01147007,0.00003233457,0.000009955262,0.0001307071,0.000153104,0.00003206385,0.005205131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01926875,"threshold_uncertainty_score":0.03831321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}