{"meta":{"query_hash":"6c4e6f7be817","filters":{"venue":"Journal of Petroleum Science and Engineering"},"cohort_total":238,"direct_labels_cover":0,"predictions_cover":238,"exported":238,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/6c4e6f7be817","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Petroleum+Science+and+Engineering"},"results":[{"id":"W1197106166","doi":"10.1016/j.petrol.2015.08.013","title":"Investigation of initial water mobility and its effects on SAGD performance in bitumen reservoirs and oil sands","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Asphalt; Steam-assisted gravity drainage; Petroleum engineering; Oil sands; Steam injection; Relative permeability; Permeability (electromagnetism); Wetting; Oil in place; Geology; Geotechnical engineering; Environmental science; Petroleum; Porosity; Engineering; Materials science; Chemistry","score_opus":0.013341872539710344,"score_gpt":0.23336390721687397,"score_spread":0.22002203467716364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1197106166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992256,0.00035047106,0.00008730026,0.000024285588,0.00014482254,0.000019718917,4.331957e-7,0.000018862509,0.00012851223],"genre_scores_gemma":[0.9990659,0.0002623939,0.0006104923,0.0000068028417,0.00004141595,0.0000025274164,1.1777557e-7,0.0000071212266,0.0000032802138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992426,0.000008882744,0.00021949032,0.00008856098,0.00027422316,0.00016625773],"domain_scores_gemma":[0.9996367,0.000038024617,0.0000339159,0.000058195514,0.00010636077,0.00012676652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011815309,0.000089442634,0.00016688553,0.0003513759,0.000020115924,0.000029258119,0.00008352863,0.000039932333,3.2598518e-7],"category_scores_gemma":[0.0001881949,0.00006943667,0.0000100210955,0.00017005211,0.000059659385,0.00071276864,0.000033199878,0.00018041738,1.5866031e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050305247,0.000009132637,0.014230944,0.0008252508,0.0000101773885,0.000011552954,0.001345846,0.081455365,0.89377123,0.00003266899,0.000014618297,0.008242926],"study_design_scores_gemma":[0.00047466237,0.00042228153,0.04976373,0.0004733117,0.0000055343257,0.00003212351,0.00003503634,0.12828086,0.82028365,0.00006328313,0.000046760273,0.0001187403],"about_ca_topic_score_codex":0.0000024802366,"about_ca_topic_score_gemma":0.0000013474438,"teacher_disagreement_score":0.073487535,"about_ca_system_score_codex":0.00008256342,"about_ca_system_score_gemma":0.000028700006,"threshold_uncertainty_score":0.28315452},"labels":[],"label_agreement":null},{"id":"W1213502164","doi":"10.1016/j.petrol.2015.06.036","title":"Transient linear flow analysis of constant-pressure wells with finite conductivity hydraulic fractures in tight/shale reservoirs","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; ConocoPhillips","keywords":"Oil shale; Hydraulic conductivity; Transient (computer programming); Hydraulic fracturing; Petroleum engineering; Transient analysis; Geology; Constant (computer programming); Transient flow; Shale gas; Flow (mathematics); Geotechnical engineering; Mechanics; Transient response; Soil science; Engineering; Geomorphology; Physics","score_opus":0.011049259509947977,"score_gpt":0.2250715262898576,"score_spread":0.21402226677990963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1213502164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97952545,0.0013984987,0.018274862,0.00015343283,0.0001450222,0.00003407247,0.000008826127,0.000023370052,0.0004364568],"genre_scores_gemma":[0.99810094,0.00013015312,0.0016633358,0.000013853784,0.00005630875,0.0000012060965,0.0000010342744,0.000013849541,0.000019319104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818164,0.000022615328,0.000458829,0.00017871558,0.0008284958,0.0003297039],"domain_scores_gemma":[0.9990024,0.0001090436,0.000120167155,0.0002181249,0.00025674907,0.00029351568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012719799,0.00018517442,0.00059653545,0.0015197356,0.000041281757,0.00004827554,0.0003125116,0.00007457236,0.000014325928],"category_scores_gemma":[0.00019563324,0.00013509796,0.00011797218,0.0019706523,0.00017509532,0.0005346962,0.000027253996,0.0004128151,5.9163835e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034183802,0.000026024243,0.0022872463,0.000054502463,0.00037702546,0.000041867355,0.0008329188,0.9904102,0.005720115,0.0000023049768,0.00004083369,0.0001727857],"study_design_scores_gemma":[0.00051991106,0.00015193244,0.0094288215,0.00010389259,0.00041382157,0.00002408329,0.0003047443,0.98271114,0.0048467815,0.000004598017,0.0013187056,0.00017157437],"about_ca_topic_score_codex":0.00006270592,"about_ca_topic_score_gemma":0.000047242866,"teacher_disagreement_score":0.01857548,"about_ca_system_score_codex":0.0000794166,"about_ca_system_score_gemma":0.00012889695,"threshold_uncertainty_score":0.5509135},"labels":[],"label_agreement":null},{"id":"W1520282610","doi":"10.1016/s0920-4105(00)00035-8","title":"Concentration and temperature transients in heterogeneous porous media","year":2000,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Porous medium; Dispersion (optics); Work (physics); Variable (mathematics); Convection–diffusion equation; Convection; Transformation (genetics); Mechanics; Thermodynamics; Boundary value problem; Matrix (chemical analysis); Flux (metallurgy); Partial differential equation; Mathematical analysis; Mathematics; Chemistry; Physics; Porosity; Optics","score_opus":0.0038024946057668586,"score_gpt":0.17912619180489153,"score_spread":0.17532369719912466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520282610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994047,0.00021386072,0.00007020585,0.00011960923,0.000073493095,0.000016028103,3.762147e-7,0.0000030134927,0.00009871061],"genre_scores_gemma":[0.99959683,0.00015669524,0.00013577897,0.000043278087,0.000021226188,5.8842494e-7,8.499921e-8,0.000002105117,0.00004338673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936104,0.0000050833046,0.00014138332,0.0000875267,0.000271714,0.0001332391],"domain_scores_gemma":[0.999856,0.000011704931,0.000023398836,0.000029566852,0.000011664404,0.000067660454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029504564,0.000055960358,0.0000859164,0.000036760404,0.00005628065,0.000049176302,0.00006938783,0.000017279372,0.000041509164],"category_scores_gemma":[0.000015970738,0.0000443187,0.000009538186,0.00015067127,0.00009634683,0.000423047,0.000012347553,0.00007529737,0.0000018190701],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005475112,0.000081528626,0.12997575,0.000022060587,0.000015191972,0.00018164254,0.0101719955,0.06250644,0.5736033,0.000035342666,0.000080041624,0.223272],"study_design_scores_gemma":[0.0008013943,0.0001343261,0.98214567,0.000044057117,0.000009971208,0.00038587986,0.00026121907,0.009609258,0.003728061,0.000012751912,0.0027068963,0.00016054095],"about_ca_topic_score_codex":0.0000103583,"about_ca_topic_score_gemma":0.00001399233,"teacher_disagreement_score":0.8521699,"about_ca_system_score_codex":0.000055595756,"about_ca_system_score_gemma":0.000007845285,"threshold_uncertainty_score":0.18072641},"labels":[],"label_agreement":null},{"id":"W1919108253","doi":"10.1016/j.petrol.2015.10.035","title":"CO2 microbubbles – A potential fluid for enhanced oil recovery: Bulk and porous media studies","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Carbon Management Canada; University of Alberta","keywords":"Microbubbles; Enhanced oil recovery; Materials science; Porous medium; Rheology; Viscosity; Nanofluid; Pulmonary surfactant; Porosity; Petroleum engineering; Chemical engineering; Nanotechnology; Composite material; Ultrasound; Nanoparticle; Geology","score_opus":0.013197708419292178,"score_gpt":0.21636583978234636,"score_spread":0.20316813136305417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919108253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93913615,0.011449553,0.047143947,0.00009726397,0.0019863562,0.000026812519,0.0000051032143,0.00008142758,0.000073402916],"genre_scores_gemma":[0.9892999,0.0026014464,0.0076472987,0.000014183911,0.00037929643,0.0000036529161,5.516214e-7,0.000026234082,0.000027459784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887985,0.0000033473598,0.00031661335,0.000139823,0.00031547362,0.00034488743],"domain_scores_gemma":[0.9992487,0.00008076031,0.000056560304,0.000085584084,0.0002727439,0.0002556716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097344135,0.0001739363,0.00031665122,0.00033140654,0.00006753432,0.000104107465,0.00015752912,0.000048357237,4.17577e-7],"category_scores_gemma":[0.00042223476,0.00015465518,0.000044289514,0.00020933503,0.00008638742,0.0004843043,0.000038548013,0.00014968541,7.4895985e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014462778,0.000004405087,0.0000046181194,0.00012313324,0.000045489654,0.000009667874,0.0005399486,0.7509152,0.24357551,0.000028540542,0.00026264897,0.0044763624],"study_design_scores_gemma":[0.0023293134,0.00048098268,0.0002103443,0.0006567539,0.00013789382,0.00077727047,0.0014099572,0.9094059,0.07481378,0.00019733724,0.00883438,0.00074606895],"about_ca_topic_score_codex":0.0000018005494,"about_ca_topic_score_gemma":0.0000011439512,"teacher_disagreement_score":0.16876173,"about_ca_system_score_codex":0.00011553434,"about_ca_system_score_gemma":0.00006544547,"threshold_uncertainty_score":0.63066554},"labels":[],"label_agreement":null},{"id":"W1958676190","doi":"10.1016/j.petrol.2015.10.009","title":"A novel chemical additive for in-situ recovery of heavy oil using waterflooding process","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Waterloo; Schlumberger (Canada)","funders":"Chinese Academy of Sciences; Western Economic Diversification Canada; Canada Research Chairs","keywords":"Petroleum engineering; In situ; Process (computing); Enhanced oil recovery; Environmental science; Materials science; Process engineering; Chemistry; Geology; Engineering; Computer science; Organic chemistry","score_opus":0.018944759939008717,"score_gpt":0.25193952652538404,"score_spread":0.23299476658637533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958676190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466659,0.00018979158,0.05256921,0.000009993863,0.00025044222,0.000024167879,0.0000041151584,0.000027745587,0.00025863713],"genre_scores_gemma":[0.9670257,0.0000545099,0.03280192,0.000004667461,0.000089215144,0.0000040033606,2.4282204e-7,0.000016794522,0.000002934406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894917,0.0000021830504,0.00035820762,0.000106332576,0.00031550965,0.00026859465],"domain_scores_gemma":[0.9994012,0.00005602563,0.00008907617,0.000065234366,0.0002641115,0.00012433769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085580285,0.0001165654,0.00026387384,0.000444571,0.00001650275,0.00003476562,0.0001880802,0.000052511,3.7904087e-7],"category_scores_gemma":[0.00034791703,0.00010865021,0.000044162047,0.00035376157,0.00005525694,0.00083293085,0.000025972013,0.00017498274,8.235556e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024671239,0.000012442115,0.000034932917,0.00011226024,0.0000078863695,0.0000023461967,0.00023395091,0.13659883,0.8600423,0.000013596951,0.000008502253,0.0029083292],"study_design_scores_gemma":[0.00043852476,0.00011064253,0.0000773689,0.00046192954,0.000010347799,0.00010946898,0.000173257,0.15328301,0.84506613,0.0000689012,0.00006528366,0.00013514663],"about_ca_topic_score_codex":0.0000027428912,"about_ca_topic_score_gemma":0.0000012396893,"teacher_disagreement_score":0.020359818,"about_ca_system_score_codex":0.00026103575,"about_ca_system_score_gemma":0.00013225789,"threshold_uncertainty_score":0.4430627},"labels":[],"label_agreement":null},{"id":"W1966637453","doi":"10.1016/j.petrol.2013.10.020","title":"Pressure maintenance and improving oil recovery with immiscible CO2 injection in thin heavy oil reservoirs","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Petroleum engineering; Oil in place; Residual oil; Enhanced oil recovery; Gas oil ratio; Saturation (graph theory); Water injection (oil production); Oil production; Oil well; Environmental science; Residual; Water cut; Petroleum; Geology","score_opus":0.006216028107849751,"score_gpt":0.20768818401236888,"score_spread":0.20147215590451914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966637453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98431706,0.0014626278,0.0133822635,0.00009748353,0.00030232122,0.000019915457,7.3115626e-7,0.00005060607,0.0003670071],"genre_scores_gemma":[0.98494583,0.0004445691,0.014243266,0.0000074150576,0.00008725481,0.0000058164323,1.1983664e-7,0.000022502996,0.00024322061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876773,0.000011297154,0.00033171152,0.00016319618,0.00037583333,0.000350249],"domain_scores_gemma":[0.9993791,0.00008491338,0.000067764304,0.00013543903,0.00016105123,0.00017174319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012548564,0.00015957172,0.00024261426,0.00053658435,0.000069617796,0.00021121271,0.00017617109,0.00006177154,0.0000048069983],"category_scores_gemma":[0.00025024122,0.0001285435,0.000025288115,0.0005391223,0.000063889434,0.001432046,0.00003101153,0.00039881765,7.0364297e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014152085,0.000004498344,0.00065056566,0.00017762539,0.000010391526,0.0000054007114,0.00016588392,0.95473754,0.03983416,0.00001745138,0.000032170865,0.0043501393],"study_design_scores_gemma":[0.0005530394,0.00013636186,0.009899529,0.0002869162,0.000009616778,0.00015857928,0.00020495152,0.9859155,0.0018929137,0.000020206053,0.0007369007,0.0001854774],"about_ca_topic_score_codex":0.00006515933,"about_ca_topic_score_gemma":0.000007531875,"teacher_disagreement_score":0.037941243,"about_ca_system_score_codex":0.00009660555,"about_ca_system_score_gemma":0.000053008156,"threshold_uncertainty_score":0.5241852},"labels":[],"label_agreement":null},{"id":"W1973829161","doi":"10.1016/j.petrol.2013.03.004","title":"An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Oil and Natural Gas Corporation","keywords":"Artificial neural network; Petroleum; Production (economics); Oil field; Petroleum engineering; Oil production; Nonlinear system; Computer science; Environmental science; Engineering; Geology; Artificial intelligence; Economics","score_opus":0.02047249583765337,"score_gpt":0.26631130706075556,"score_spread":0.2458388112231022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973829161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646468,0.00045573935,0.03319704,0.00011302592,0.0013664549,0.000048957994,0.0000027433323,0.00009131638,0.00007788444],"genre_scores_gemma":[0.982831,0.000049358725,0.016453346,0.000010756539,0.00057248905,0.0000076094548,0.0000022629883,0.00004300056,0.000030196798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786437,0.00004200457,0.00071577245,0.0002546589,0.0006587557,0.00046444446],"domain_scores_gemma":[0.998213,0.00014444842,0.0002080148,0.0002771864,0.0009130196,0.0002443273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010144848,0.00027512122,0.00044237703,0.00066048594,0.00011171669,0.0001685316,0.00040345444,0.00009419557,0.00001955589],"category_scores_gemma":[0.00034267642,0.00024239146,0.00006486859,0.0013724823,0.00013466,0.0023109491,0.000055519475,0.00056953443,7.161404e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015193396,0.000014916359,0.0015397926,0.000040203035,0.00003385493,0.0000038627327,0.00040465198,0.93927914,0.054397855,0.000017502989,0.000029850411,0.0042232047],"study_design_scores_gemma":[0.00041087376,0.00015153813,0.028280478,0.00009435489,0.000015560083,0.000021857542,0.00015914992,0.9681044,0.0023703657,0.000024232444,0.00013904598,0.00022809491],"about_ca_topic_score_codex":0.000051908548,"about_ca_topic_score_gemma":0.000002226234,"teacher_disagreement_score":0.05202749,"about_ca_system_score_codex":0.0001277911,"about_ca_system_score_gemma":0.000043011874,"threshold_uncertainty_score":0.9884437},"labels":[],"label_agreement":null},{"id":"W1975245567","doi":"10.1016/j.petrol.2012.09.005","title":"Leakage characterization through above-zone pressure monitoring: 2—Design considerations with application to CO2 storage in saline aquifers","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Texas at Austin","keywords":"Aquifer; Petroleum engineering; Environmental science; Leak; Leakage (economics); Transmissibility (structural dynamics); Containment (computer programming); Geology; Groundwater; Environmental engineering; Geotechnical engineering; Computer science","score_opus":0.0127825079523879,"score_gpt":0.2392219759856941,"score_spread":0.22643946803330622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975245567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7214208,0.000024504678,0.2774703,0.00065661443,0.00018114418,0.00008506859,0.0000011392523,0.000010943794,0.00014947024],"genre_scores_gemma":[0.99248755,0.00001582566,0.007243922,0.000070947455,0.00010399956,0.000008447984,4.5576724e-7,0.0000044093463,0.00006441782],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919796,0.000014129009,0.00019863051,0.00010375783,0.00029550274,0.00019001565],"domain_scores_gemma":[0.9996327,0.00003688358,0.000094790026,0.000077620905,0.000042887645,0.00011512806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057316467,0.000076791526,0.00009702134,0.00010816235,0.00010052322,0.000058620168,0.00007901946,0.000024530837,0.00005358248],"category_scores_gemma":[0.000093688395,0.00006303416,0.0000108661025,0.00033260824,0.000060329727,0.0013691698,0.000025984209,0.00013227446,0.000007952673],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016419679,0.000046973473,0.016187739,0.000003825358,0.000003877936,0.0000029775601,0.0012524598,0.3944241,0.58749187,0.00027345496,0.000037204067,0.0002590862],"study_design_scores_gemma":[0.00062191585,0.00043236962,0.8727306,0.000092124756,0.000037149424,0.0003402204,0.00070909667,0.07516489,0.032110512,0.000033063094,0.017374897,0.00035315377],"about_ca_topic_score_codex":0.000026352134,"about_ca_topic_score_gemma":0.000007262697,"teacher_disagreement_score":0.8565429,"about_ca_system_score_codex":0.00011290324,"about_ca_system_score_gemma":0.000029239725,"threshold_uncertainty_score":0.25704584},"labels":[],"label_agreement":null},{"id":"W1979101083","doi":"10.1016/j.petrol.2011.07.010","title":"Mechanism of the reversibility of asphaltene precipitation in crude oil","year":2011,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Asphaltene; Precipitation; Chemical engineering; Hysteresis; Porosity; Chemistry; Permeability (electromagnetism); Phase (matter); Materials science; Petroleum engineering; Geology; Organic chemistry","score_opus":0.012676284162459176,"score_gpt":0.21101789610197588,"score_spread":0.19834161193951672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979101083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977389,0.00018262667,0.0003615435,0.000028909866,0.000058120408,0.0000011137772,8.9645016e-7,0.000002357642,0.0016255613],"genre_scores_gemma":[0.9987314,0.00004608534,0.001110416,0.000003329242,0.000017968412,2.9012375e-7,3.2634926e-8,0.0000026896591,0.00008779642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912727,0.000005725976,0.0003217959,0.00008178081,0.00034952367,0.000113933704],"domain_scores_gemma":[0.99938685,0.000023697587,0.00026595918,0.000110641515,0.0001679554,0.000044903616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009396375,0.000056393754,0.00016500475,0.00016068893,0.000030328421,0.000008217846,0.00026346225,0.000028457192,0.000013469205],"category_scores_gemma":[0.0003094471,0.000039546638,0.00005770774,0.00034238363,0.000087203254,0.0002454584,0.000036455396,0.00013377087,6.9045996e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012118448,0.00003597811,0.0045627374,0.0001406676,0.000010189212,0.0000015995657,0.0006280584,0.0013688072,0.99078864,0.00015066193,9.467092e-7,0.0022995782],"study_design_scores_gemma":[0.0005228912,0.000060309074,0.025461808,0.00063533796,0.00006517508,0.000034541154,0.00085923914,0.023576798,0.9483123,0.00032162436,0.00003563716,0.000114352726],"about_ca_topic_score_codex":0.000026131675,"about_ca_topic_score_gemma":0.0000034996256,"teacher_disagreement_score":0.04247637,"about_ca_system_score_codex":0.00004940412,"about_ca_system_score_gemma":0.00010321846,"threshold_uncertainty_score":0.1612665},"labels":[],"label_agreement":null},{"id":"W1979359610","doi":"10.1016/j.petrol.2014.09.001","title":"Interwell connectivity evaluation in cases of changing skin and frequent production interruptions","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Shut down; Production (economics); Superposition principle; Field (mathematics); Estimator; Production rate; Petroleum engineering; Computer science; Operations research; Process engineering; Engineering; Statistics; Mathematics; Economics","score_opus":0.022472624292756708,"score_gpt":0.28512936412025874,"score_spread":0.26265673982750204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979359610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310793,0.00028032225,0.06805203,0.000032793952,0.0004564062,0.000036796147,2.6513723e-7,0.000014587706,0.000047439717],"genre_scores_gemma":[0.9957337,0.00006457963,0.004104977,0.000001657862,0.00008291072,0.000002254595,1.3596663e-7,0.0000074868067,0.000002326349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991879,0.000024098252,0.00026902792,0.00009195048,0.00027822988,0.00014878843],"domain_scores_gemma":[0.999557,0.000100553676,0.00005601138,0.000078826815,0.00014526804,0.000062341445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003217815,0.000080695274,0.00016541586,0.0008082596,0.000028354652,0.000030048644,0.00007363702,0.00002668364,0.0000020298169],"category_scores_gemma":[0.0009525753,0.00007553527,0.000021858279,0.00039032323,0.000043612108,0.00043359038,0.000020636573,0.00014383535,1.0934856e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035227822,0.0000057345974,0.00064771785,0.0000618587,0.0000048912007,7.4330836e-7,0.00043211153,0.9440453,0.04811106,0.000083727165,0.0000018569677,0.0066014533],"study_design_scores_gemma":[0.00023940744,0.000061760045,0.0130937,0.00016123294,0.0000097304855,0.000072252995,0.00019159674,0.9722018,0.013773096,0.00004388093,0.0000783948,0.00007312264],"about_ca_topic_score_codex":0.0000051210473,"about_ca_topic_score_gemma":0.000003979913,"teacher_disagreement_score":0.06465431,"about_ca_system_score_codex":0.000100184414,"about_ca_system_score_gemma":0.000019561,"threshold_uncertainty_score":0.3080239},"labels":[],"label_agreement":null},{"id":"W1980618582","doi":"10.1016/s0920-4105(00)00008-5","title":"Pore geometry and transport properties in North Sea chalk","year":2000,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Geometry; Geotechnical engineering; Mineralogy; Mathematics","score_opus":0.007399549050245861,"score_gpt":0.17782447026669843,"score_spread":0.17042492121645256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980618582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983029,0.0010200659,0.00021749642,0.00008777995,0.00005418848,0.0000150225,5.4744305e-7,0.000018928753,0.00028310315],"genre_scores_gemma":[0.9985825,0.0011889243,0.00012607942,0.000012527528,0.00004761366,9.5079514e-7,2.7177114e-7,0.000007656255,0.000033498796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992125,0.000002857878,0.00023392278,0.000079332596,0.0002881524,0.00018320455],"domain_scores_gemma":[0.9997532,0.000005333887,0.000018457631,0.000056654248,0.000036776142,0.00012962284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032859005,0.00008747325,0.00016748172,0.00048282824,0.000037267106,0.00003845575,0.00010675006,0.000025238638,0.000012945919],"category_scores_gemma":[0.000014514822,0.000068060195,0.0000272766,0.0006248485,0.000055469467,0.0005323166,0.0000055617056,0.0001675321,8.500742e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006204113,0.000012232166,0.025728032,0.000063345746,0.000017136583,0.000053043557,0.00070356426,0.9634733,0.0053235195,0.0000058284604,0.000006947208,0.004606808],"study_design_scores_gemma":[0.0003046253,0.000048115846,0.102274805,0.00006550336,0.000015003574,0.000100659505,0.00021162146,0.89478475,0.0007909066,0.0000026300058,0.001246433,0.00015496861],"about_ca_topic_score_codex":0.0000067289425,"about_ca_topic_score_gemma":0.000023378121,"teacher_disagreement_score":0.07654677,"about_ca_system_score_codex":0.000036380825,"about_ca_system_score_gemma":0.00002692015,"threshold_uncertainty_score":0.27754143},"labels":[],"label_agreement":null},{"id":"W1981336992","doi":"10.1016/j.petrol.2013.08.015","title":"Numerical simulation of heavy-oil/bitumen recovery by solvent injection at elevated temperatures","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphalt; Petroleum engineering; Solvent; Environmental science; Enhanced oil recovery; Chemistry; Waste management; Materials science; Geology; Organic chemistry; Engineering; Composite material","score_opus":0.004210797134432709,"score_gpt":0.2071630023021698,"score_spread":0.2029522051677371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981336992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788863,0.00044938165,0.020062264,0.000029282912,0.00031450522,0.000028276821,0.0000015607953,0.0000718639,0.00015656285],"genre_scores_gemma":[0.99788773,0.00023891234,0.0017454332,0.000011952634,0.000052315187,0.000003521878,6.0636575e-7,0.00001554997,0.000043992903],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989332,0.0000068715754,0.00036177598,0.00010160972,0.0003805189,0.00021604956],"domain_scores_gemma":[0.9994548,0.000060180868,0.00010305652,0.00008882218,0.00018574977,0.00010738995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684525,0.00012068096,0.00020564873,0.00029885294,0.00004954057,0.00006156085,0.00013466722,0.000052936975,0.00001701308],"category_scores_gemma":[0.00012342344,0.0001078307,0.000049226073,0.00034603552,0.000041265266,0.0009320315,0.000023495075,0.00019854729,0.000002006868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005432498,0.0000060446378,0.000106940184,0.000027770342,0.00000777385,5.9411497e-7,0.000024821047,0.48442745,0.5138693,0.0000021472167,0.00036212537,0.0011596227],"study_design_scores_gemma":[0.00016125242,0.00024924983,0.0016153016,0.0001270397,0.000008479306,0.000049441922,0.000020645408,0.60738915,0.3895196,0.000032630156,0.00067909557,0.00014812833],"about_ca_topic_score_codex":0.000010274418,"about_ca_topic_score_gemma":3.6885862e-7,"teacher_disagreement_score":0.124349676,"about_ca_system_score_codex":0.0002712286,"about_ca_system_score_gemma":0.000027827904,"threshold_uncertainty_score":0.43972084},"labels":[],"label_agreement":null},{"id":"W1981912324","doi":"10.1016/j.petrol.2014.06.002","title":"A method for evaluation of water flooding performance in fractured reservoirs","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Imbibition; Water flooding; Petroleum engineering; Permeability (electromagnetism); Porosity; Flooding (psychology); Water saturation; Relative permeability; Water cut; Chart; Porous medium; Geotechnical engineering; Saturation (graph theory); Water injection (oil production); Geology; Environmental science; Soil science; Mathematics; Chemistry; Statistics","score_opus":0.01035478327845671,"score_gpt":0.25478848753875843,"score_spread":0.24443370426030173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981912324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91835386,0.00020081551,0.08103985,0.00006889248,0.00015064195,0.000033254222,2.7539573e-7,0.000008949801,0.00014345704],"genre_scores_gemma":[0.9909013,0.00003901892,0.008948458,0.000004709622,0.00008977201,0.0000035252806,2.4602267e-7,0.000009014013,0.0000039455863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879944,0.00001706131,0.00032556683,0.000086162334,0.00054402166,0.00022776541],"domain_scores_gemma":[0.99947166,0.00007013085,0.000051945768,0.000093914496,0.00024140468,0.00007091513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006058507,0.00008543958,0.00022322426,0.000578975,0.000041493076,0.000030461963,0.00017924476,0.00003960785,0.00000370575],"category_scores_gemma":[0.00027959526,0.000059628157,0.000051760093,0.00024467232,0.000025153693,0.00037234908,0.000018064871,0.00015509792,2.4996694e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054633188,0.0000042024794,0.000258008,0.00008729471,0.000012611645,2.3322046e-7,0.00034608546,0.9349016,0.0608108,0.0000030047454,0.000005722985,0.0035650025],"study_design_scores_gemma":[0.000493365,0.000052069332,0.004595011,0.00009337974,0.000036088946,0.000008730557,0.00004864218,0.92841816,0.0653233,0.00002311672,0.00083700725,0.00007114537],"about_ca_topic_score_codex":0.0000047052654,"about_ca_topic_score_gemma":0.0000030010663,"teacher_disagreement_score":0.07254745,"about_ca_system_score_codex":0.00009073249,"about_ca_system_score_gemma":0.000030917785,"threshold_uncertainty_score":0.24315657},"labels":[],"label_agreement":null},{"id":"W1982515254","doi":"10.1016/j.petrol.2009.05.007","title":"Optimum effective viscosity of polymer solution for improving heavy oil recovery","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":161,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Enhanced oil recovery; Viscosity; Polymer; Petroleum engineering; Oil viscosity; Polymer solution; Viscous fingering; Materials science; Light crude oil; Chemical engineering; Chemistry; Geology; Composite material; Organic chemistry; Porous medium; Engineering; Porosity","score_opus":0.0038845325592158984,"score_gpt":0.210501278965699,"score_spread":0.20661674640648311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982515254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70217615,0.0010668153,0.295968,0.000040982926,0.00039281935,0.000040106195,0.0000027656013,0.00006135868,0.00025098486],"genre_scores_gemma":[0.98430896,0.00014575175,0.015401107,0.000012944873,0.000103742495,0.0000033617412,1.5392901e-7,0.000010934468,0.000013061839],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990783,0.0000045219435,0.00029019252,0.00010545875,0.00025903017,0.000262502],"domain_scores_gemma":[0.9994903,0.000070709415,0.00010446398,0.00009037461,0.0001529014,0.000091224705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081497175,0.00011956752,0.00023538095,0.00036931867,0.000054934586,0.000041089166,0.0001661981,0.000051473657,7.865354e-7],"category_scores_gemma":[0.00016266543,0.000112660426,0.000080036356,0.00024973258,0.000043545962,0.0008385944,0.00001673204,0.00016670648,1.5135387e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002672168,0.0000104456985,0.00001600311,0.00008898443,0.000008759974,0.0000012499734,0.000042612883,0.0347641,0.8746084,0.00004728952,0.00002573336,0.09035971],"study_design_scores_gemma":[0.0002827183,0.0006659875,0.0020589805,0.00018806753,0.000022138815,0.00004693874,0.00001532476,0.23631747,0.7601007,0.00007545251,0.00006972719,0.00015649293],"about_ca_topic_score_codex":0.0000029447356,"about_ca_topic_score_gemma":4.90731e-7,"teacher_disagreement_score":0.28213277,"about_ca_system_score_codex":0.00018947046,"about_ca_system_score_gemma":0.000046775865,"threshold_uncertainty_score":0.45941588},"labels":[],"label_agreement":null},{"id":"W1991445248","doi":"10.1016/j.petrol.2009.06.015","title":"Evaluation of steam injection potential and improving ongoing CO2 injection of the Bati Raman field, Turkey","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Core Research for Evolutional Science and Technology","keywords":"Steam injection; Water injection (oil production); Petroleum engineering; Environmental science; Oil field; Enhanced oil recovery; Displacement (psychology); Geology","score_opus":0.0052263506229036786,"score_gpt":0.21662526966706122,"score_spread":0.21139891904415753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991445248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807411,0.00031741455,0.018352944,0.0000188169,0.00035179325,0.00004443191,3.407663e-7,0.000019976524,0.0001532168],"genre_scores_gemma":[0.9988672,0.00007075853,0.0009894852,0.000004781257,0.000059617214,7.1950046e-7,4.3682743e-8,0.0000051494862,0.0000022464926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894255,0.000010397733,0.0002791458,0.00007130822,0.0005819683,0.00011463001],"domain_scores_gemma":[0.9994239,0.000025487192,0.0001413485,0.00008023818,0.0002926129,0.000036387668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016809955,0.00007566633,0.00013293477,0.00026899338,0.000049574843,0.00003019372,0.00010848734,0.000043849697,0.000001442951],"category_scores_gemma":[0.00025160762,0.000061034374,0.000035566507,0.00028767527,0.00003364109,0.0005436809,0.00001957158,0.00017585802,2.5741953e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037065151,0.000004354827,0.0001286958,0.000027008811,0.000005547004,1.6929388e-7,0.00012867418,0.40545118,0.55609715,0.000014924935,0.0000059007175,0.038132697],"study_design_scores_gemma":[0.00024554835,0.00035942183,0.020219197,0.00018825853,0.00005175028,0.00010910844,0.00014301002,0.64902234,0.32940185,0.00017496842,0.0000061765995,0.000078398894],"about_ca_topic_score_codex":0.000017221306,"about_ca_topic_score_gemma":0.0000034347654,"teacher_disagreement_score":0.24357113,"about_ca_system_score_codex":0.00011574737,"about_ca_system_score_gemma":0.000060900427,"threshold_uncertainty_score":0.24889095},"labels":[],"label_agreement":null},{"id":"W1994328919","doi":"10.1016/j.petrol.2015.04.031","title":"Estimation of effect of diffusion and dispersion parameters on VAPEX process","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Dispersion (optics); Diffusion; Diffusion process; Process (computing); Petroleum engineering; Mechanics; Materials science; Computer science; Thermodynamics; Geology; Physics; Optics","score_opus":0.007277576527709499,"score_gpt":0.22611438595922828,"score_spread":0.2188368094315188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994328919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940615,0.00017119762,0.0055665504,0.000025444757,0.00009103201,0.000019592911,3.2451945e-7,0.000007958816,0.000056399087],"genre_scores_gemma":[0.9995735,0.000077223165,0.00032830992,0.0000018340404,0.000011943097,5.1391356e-7,1.728677e-7,0.0000046698347,0.000001810707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992598,0.000007415903,0.00020545974,0.000055502835,0.0003867322,0.000085084],"domain_scores_gemma":[0.99965477,0.00003882454,0.00007056048,0.000052829037,0.000070282986,0.000112730326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006253534,0.000069521295,0.00018473002,0.0003473563,0.000018270726,0.000017306545,0.0000778036,0.000023460672,5.059657e-7],"category_scores_gemma":[0.00019074004,0.00004894159,0.000028310737,0.0002936447,0.00005217708,0.00029807596,0.000011643704,0.000080001155,1.721489e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016319285,0.0000062051536,0.0006506835,0.00010051118,0.0000094480765,0.0000010676691,0.000307564,0.94038486,0.055893563,0.0000067883957,0.0000043985006,0.0026185806],"study_design_scores_gemma":[0.00031782867,0.0003249275,0.001170047,0.00011764625,0.000022192697,0.000009216572,0.00011635882,0.9544527,0.0434075,0.0000074672316,0.00000651062,0.00004759173],"about_ca_topic_score_codex":0.0000020234324,"about_ca_topic_score_gemma":2.0914862e-7,"teacher_disagreement_score":0.014067844,"about_ca_system_score_codex":0.000030022284,"about_ca_system_score_gemma":0.00001775658,"threshold_uncertainty_score":0.199578},"labels":[],"label_agreement":null},{"id":"W1995016523","doi":"10.1016/j.petrol.2010.08.004","title":"Experimental and visual analysis of diffusive mass transfer between matrix and fracture under static conditions","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass transfer; Diffusion; Enhanced oil recovery; Kerosene; Petroleum engineering; Viscosity; Porous medium; Chemistry; Materials science; Mechanics; Mineralogy; Geology; Porosity; Geotechnical engineering; Thermodynamics; Composite material; Chromatography","score_opus":0.004068917349020318,"score_gpt":0.24950795618070185,"score_spread":0.24543903883168153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995016523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95937824,0.00046285157,0.03995114,0.00008622781,0.000068115776,0.000016893564,0.000007886893,0.000011857377,0.000016808703],"genre_scores_gemma":[0.99941796,0.000065157095,0.0004352701,0.000009419659,0.00005544559,8.0183815e-7,0.0000012585593,0.00000883365,0.0000058772926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914294,0.0000055820396,0.00026481642,0.00010453554,0.00030658304,0.00017555749],"domain_scores_gemma":[0.9995651,0.00008042471,0.00003893898,0.00006289741,0.0000620612,0.00019055455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924702,0.00011737861,0.00032668587,0.0007607037,0.00007461233,0.00006828831,0.00008984339,0.000054769676,0.000018432986],"category_scores_gemma":[0.00002542319,0.00009381265,0.00006777704,0.0004706696,0.00015283712,0.00031021357,0.000014489131,0.0002843441,1.2612082e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000251367,0.000011210004,0.0037827126,0.00003720101,0.00038606545,0.0000054569723,0.00047554146,0.44701687,0.5481643,0.00002035527,0.0000054891325,0.00009229746],"study_design_scores_gemma":[0.00052926526,0.0001222972,0.22242625,0.000044460026,0.0009912761,0.00003884642,0.0011409762,0.7277143,0.04654312,0.000020649277,0.00018021329,0.0002483546],"about_ca_topic_score_codex":0.000012047096,"about_ca_topic_score_gemma":0.0000025185248,"teacher_disagreement_score":0.5016212,"about_ca_system_score_codex":0.000023155024,"about_ca_system_score_gemma":0.00002158151,"threshold_uncertainty_score":0.38255686},"labels":[],"label_agreement":null},{"id":"W1998368599","doi":"10.1016/s0920-4105(00)00044-9","title":"A dynamic optimization approach for nonrenewable energy resources management under uncertainty","year":2000,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Office of Human Development Services","keywords":"Mathematical optimization; Interval (graph theory); Non-renewable resource; Function (biology); Computer science; Variable (mathematics); Process (computing); Linear programming; Dynamic programming; Integer programming; Bellman equation; Operations research; Renewable energy; Mathematics; Engineering","score_opus":0.0041485655779095005,"score_gpt":0.1746980481087656,"score_spread":0.1705494825308561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998368599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06178669,0.00029794444,0.9347583,0.000034754565,0.000107760476,0.000055537548,9.4566855e-7,0.000053008465,0.002905073],"genre_scores_gemma":[0.8690657,0.0007022941,0.12940517,0.000033186345,0.000078140794,0.000010632111,0.0000042682746,0.000026688362,0.00067393587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991442,0.0000037372633,0.00022068368,0.00011674113,0.00027567844,0.00023898263],"domain_scores_gemma":[0.99972874,0.00001057272,0.000039502702,0.00008443962,0.000055153214,0.00008158173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752525,0.0001130926,0.00013252579,0.00035671768,0.000090801055,0.00014843709,0.00019831953,0.00002789299,0.000013360428],"category_scores_gemma":[0.000004973244,0.00010050461,0.000038321516,0.0003347436,0.000035818688,0.00040952244,0.000018888852,0.00005306759,1.9400915e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000117107775,0.000008948716,0.0000054693924,0.000056533405,0.000024771101,0.0000012048761,0.00007995805,0.99587345,0.0003467679,0.0000799068,0.00005750573,0.0034537965],"study_design_scores_gemma":[0.0003517574,0.000042702817,0.000067325585,0.000028182978,0.000027923586,0.000010705658,0.00012242801,0.99478066,0.000058810576,0.0000147607025,0.0043793493,0.0001154074],"about_ca_topic_score_codex":0.0000028102418,"about_ca_topic_score_gemma":6.0718077e-7,"teacher_disagreement_score":0.807279,"about_ca_system_score_codex":0.00009998319,"about_ca_system_score_gemma":0.0000066165276,"threshold_uncertainty_score":0.4098459},"labels":[],"label_agreement":null},{"id":"W2000284561","doi":"10.1016/j.petrol.2009.08.003","title":"Rheological characteristics of aqueous waxy hull-less barley (WHB) solutions","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Biopolymer; Rheology; Xanthan gum; Aqueous solution; Chemistry; Bentonite; Drilling fluid; Chemical engineering; Viscosity; Materials science; Organic chemistry; Polymer; Composite material","score_opus":0.009267471545319147,"score_gpt":0.18962159427674458,"score_spread":0.18035412273142543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000284561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90004987,0.0010333013,0.09758508,0.00007558544,0.00070317724,0.000025230649,0.000003119262,0.00008424678,0.00044040295],"genre_scores_gemma":[0.99700034,0.00046617276,0.0023064786,0.00001346669,0.0001891024,5.335885e-7,3.3736208e-7,0.000011946865,0.00001162005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986608,0.0000046214777,0.00045015774,0.000108752305,0.00038321243,0.00039247546],"domain_scores_gemma":[0.999392,0.00004585302,0.00008134328,0.00012595247,0.00015312801,0.00020172323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007155141,0.00015683622,0.00032464464,0.0003782998,0.00007233719,0.000055786204,0.0002703561,0.00006600666,0.0000043348496],"category_scores_gemma":[0.00017100034,0.00013907756,0.00007107808,0.00036306016,0.00008644183,0.00033814722,0.000026020545,0.00030912805,0.0000013399608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007838252,0.000032749136,0.00037853065,0.00008201215,0.000025751016,0.000042096737,0.00019642833,0.75162584,0.22234833,0.0014730114,0.000085296044,0.023702137],"study_design_scores_gemma":[0.0003048289,0.00023989147,0.028786907,0.00022113249,0.000033276287,0.00035117514,0.0000749343,0.96407354,0.0046174168,0.00006837225,0.00095429877,0.00027425468],"about_ca_topic_score_codex":0.0000012399671,"about_ca_topic_score_gemma":1.7087305e-7,"teacher_disagreement_score":0.21773092,"about_ca_system_score_codex":0.00007781672,"about_ca_system_score_gemma":0.000045961064,"threshold_uncertainty_score":0.56714183},"labels":[],"label_agreement":null},{"id":"W2000843587","doi":"10.1016/j.petrol.2009.10.005","title":"Experimental determination of permeability in the presence of hydrates and its effect on the dissociation characteristics of gas hydrates in porous media","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":326,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydrate; Porous medium; Clathrate hydrate; Permeability (electromagnetism); Dissociation (chemistry); Porosity; Thermodynamics; Relative permeability; Chemistry; Exponent; Materials science; Chemical engineering; Membrane; Physical chemistry; Organic chemistry","score_opus":0.005832747442527455,"score_gpt":0.21482844838381743,"score_spread":0.20899570094128997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000843587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952173,0.0001749566,0.000009590098,0.000121856945,0.000040310857,0.00006126678,8.348254e-7,7.3651665e-7,0.00006871525],"genre_scores_gemma":[0.9998741,0.00006582559,0.00004008234,0.0000071624463,0.0000091063075,9.867923e-7,1.3713394e-7,0.0000016002489,9.928508e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990774,0.000053428124,0.00030360487,0.0000799208,0.00037770515,0.00010796027],"domain_scores_gemma":[0.9993603,0.00031149414,0.00022142738,0.0000619215,0.000017939548,0.000026898268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002057817,0.000065606095,0.00015764392,0.00008604467,0.000028394776,0.000012274484,0.00016731847,0.00002512754,0.000005599691],"category_scores_gemma":[0.00043358307,0.000036071055,0.00001824039,0.0002748649,0.00012729087,0.00022674011,0.000024039755,0.0001232237,1.10692206e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002796712,0.00007429779,0.023862513,0.000017105422,0.0000014689097,0.0000020840444,0.004460266,0.0040263566,0.9650129,0.00006987399,4.601231e-7,0.0024447008],"study_design_scores_gemma":[0.00024632865,0.0006683374,0.7195169,0.00012900674,0.0000071915274,0.000010903031,0.00050965045,0.07203228,0.20671865,0.000102498736,0.0000012521037,0.000057006288],"about_ca_topic_score_codex":0.000012978075,"about_ca_topic_score_gemma":0.0000017972775,"teacher_disagreement_score":0.7582942,"about_ca_system_score_codex":0.000050746083,"about_ca_system_score_gemma":0.000009609556,"threshold_uncertainty_score":0.14709349},"labels":[],"label_agreement":null},{"id":"W2001714107","doi":"10.1016/j.petrol.2009.08.017","title":"Numerical experiments on oil sands shear dilation and permeability enhancement in a multiphase thermoporoelastoplasticity framework","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geotechnical engineering; Overburden; Permeability (electromagnetism); Shear (geology); Geology; Porosity; Dilation (metric space); Materials science; Mechanics; Petrology; Geometry; Chemistry; Mathematics","score_opus":0.007323510298913392,"score_gpt":0.24826572478894324,"score_spread":0.24094221449002984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001714107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94605774,0.00019940604,0.0532278,0.0000387565,0.00015398962,0.00002100644,4.1207397e-7,0.000035813122,0.00026506648],"genre_scores_gemma":[0.9891557,0.00015913931,0.01059422,0.000027242575,0.00005123089,0.000002612479,8.409295e-8,0.000007367521,0.0000023834648],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989868,0.000007737785,0.00028169254,0.00014005865,0.0003504864,0.00023321809],"domain_scores_gemma":[0.99961746,0.00007935397,0.00004684218,0.00008883791,0.00004453005,0.00012298752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994973,0.00012993462,0.00019315063,0.00026233488,0.00004156948,0.00005251254,0.000104296756,0.00005183539,0.0000056810245],"category_scores_gemma":[0.000245298,0.00011489884,0.000024914534,0.00023818134,0.00004617216,0.0004083479,0.000012102046,0.00029561602,4.4433213e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008625383,0.00015103776,0.0019789054,0.00006102152,0.00001038255,0.000022329803,0.0010777725,0.35269913,0.5783114,0.00022448921,0.00001141814,0.06536587],"study_design_scores_gemma":[0.00075019983,0.0010349496,0.11127039,0.00065739756,0.000009507723,0.00005333055,0.00009710126,0.717726,0.16763327,0.0002624774,0.00014196736,0.00036342224],"about_ca_topic_score_codex":0.0000014989538,"about_ca_topic_score_gemma":2.0647538e-7,"teacher_disagreement_score":0.41067812,"about_ca_system_score_codex":0.00023443655,"about_ca_system_score_gemma":0.000022592136,"threshold_uncertainty_score":0.46854386},"labels":[],"label_agreement":null},{"id":"W2002812508","doi":"10.1016/j.petrol.2012.04.017","title":"Spontaneous counter-current imbibition outwards from a hemi-spherical depression","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Imbibition; Mechanics; Physics","score_opus":0.006068692224169208,"score_gpt":0.2217516868048554,"score_spread":0.2156829945806862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002812508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9010157,0.0038483841,0.09366839,0.000010059774,0.0010880876,0.000021644091,0.0000032316495,0.00010168914,0.00024279386],"genre_scores_gemma":[0.98871243,0.0005290768,0.0103533715,0.000009475401,0.00037234277,0.000002327338,4.64628e-7,0.000016849064,0.0000036742777],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998833,0.0000052938976,0.00026707115,0.00009253113,0.00047490752,0.00032716902],"domain_scores_gemma":[0.9994785,0.00004937775,0.00006200986,0.00010121854,0.00008613736,0.00022273026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050254806,0.00013166881,0.00018760504,0.00017063403,0.00004401908,0.00006652626,0.00017636702,0.000046851397,0.000015438389],"category_scores_gemma":[0.00010487563,0.000114782095,0.00004775497,0.00020053827,0.00004297175,0.0009234018,0.000038030503,0.00029360832,0.0000023618504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021601147,0.000044962722,0.0026279795,0.00006759106,0.000020883248,0.000069472044,0.00034875167,0.033964887,0.9241572,0.000023275737,0.00065440027,0.037998997],"study_design_scores_gemma":[0.0012795402,0.00042779252,0.07599389,0.0018766463,0.00013278335,0.005688374,0.00027354393,0.47553253,0.38608494,0.00018950901,0.051112205,0.0014082298],"about_ca_topic_score_codex":0.0000035214257,"about_ca_topic_score_gemma":6.582525e-7,"teacher_disagreement_score":0.5380722,"about_ca_system_score_codex":0.00028178928,"about_ca_system_score_gemma":0.00002920375,"threshold_uncertainty_score":0.4680678},"labels":[],"label_agreement":null},{"id":"W2005448361","doi":"10.1016/j.petrol.2014.04.018","title":"Determination of minimum permeability plateau and characteristic length in porous media with non-Darcy flow behavior","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Darcy's law; Permeability (electromagnetism); Drawdown (hydrology); Mechanics; Porous medium; Discretization; Darcy–Weisbach equation; Well test (oil and gas); Geology; Flow (mathematics); Mathematics; Geotechnical engineering; Porosity; Petroleum engineering; Mathematical analysis; Chemistry; Physics; Aquifer; Groundwater","score_opus":0.004076062564897069,"score_gpt":0.19349587321979472,"score_spread":0.18941981065489766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005448361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894829,0.00006459731,0.010264519,0.000020877747,0.00009351784,0.000022253298,0.0000011531972,0.000009191356,0.00004103113],"genre_scores_gemma":[0.997778,0.000054951586,0.002095495,0.0000022862919,0.000055655953,0.0000017808222,3.2953838e-7,0.000008906643,0.0000025737982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990793,0.000007630882,0.00029598584,0.00010669888,0.00032080724,0.00018961338],"domain_scores_gemma":[0.9995582,0.00007152603,0.00007165141,0.00009589551,0.000083871535,0.000118815646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008145416,0.00010696843,0.0002582098,0.00040753555,0.00003230424,0.00004564324,0.00012393283,0.000039677318,0.0000020612988],"category_scores_gemma":[0.0001392954,0.00008166716,0.000024207291,0.00022978317,0.00009771734,0.00044015347,0.000018425868,0.00019319098,1.5084545e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047481037,0.000121195946,0.046317063,0.00065641943,0.000038016202,0.000102129576,0.0036294276,0.7397969,0.16190422,0.000008108918,0.0000039568213,0.04737509],"study_design_scores_gemma":[0.00030120753,0.000096843614,0.31667927,0.00012297416,0.000027649503,0.00008649736,0.00009757606,0.6807036,0.001770398,0.0000026419882,0.000016994893,0.000094343006],"about_ca_topic_score_codex":0.000011555485,"about_ca_topic_score_gemma":0.000014459848,"teacher_disagreement_score":0.2703622,"about_ca_system_score_codex":0.00005873222,"about_ca_system_score_gemma":0.000029798382,"threshold_uncertainty_score":0.333029},"labels":[],"label_agreement":null},{"id":"W2013846014","doi":"10.1016/j.petrol.2011.12.024","title":"Rheological properties of heavy & light crude oil mixtures for improving flowability","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":204,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Thixotropy; Light crude oil; Rheology; Rheometer; Shear rate; Shear thinning; Asphaltene; Crude oil; Viscosity; Apparent viscosity; Viscoelasticity; Chemistry; Materials science; Chromatography; Composite material; Petroleum engineering; Organic chemistry; Geology","score_opus":0.015429166559735126,"score_gpt":0.22852389961935837,"score_spread":0.21309473305962326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013846014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938655,0.0033392198,0.0022098399,0.00017071672,0.00011757775,0.0000023468776,0.0000015105744,0.000014840973,0.00027844668],"genre_scores_gemma":[0.9960573,0.000037943737,0.0033220933,0.000011843683,0.00029290948,0.000002482463,1.7097368e-7,0.000006983081,0.0002683076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987462,0.0000051917764,0.00037527835,0.00012902346,0.00039180974,0.00035245615],"domain_scores_gemma":[0.9992041,0.000043603635,0.0001983664,0.00012202498,0.0002491204,0.00018280894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013454915,0.000120001896,0.00028992703,0.00016212881,0.00012535589,0.00006215258,0.00025869085,0.00006018184,0.00001011799],"category_scores_gemma":[0.0009789373,0.00008139398,0.00011425739,0.00018043061,0.00014606441,0.00051045447,0.00005132601,0.00018482101,3.0305605e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030449783,0.000047298792,0.0027083962,0.00039537455,0.00001567833,3.976052e-7,0.00020505374,0.00063510466,0.9914239,0.000027874923,0.000008311039,0.0045021498],"study_design_scores_gemma":[0.00045755593,0.00006813647,0.0010095284,0.00029691358,0.00010965371,0.00010841088,0.00028073488,0.012710041,0.9809622,0.000015535039,0.0037399651,0.00024129316],"about_ca_topic_score_codex":0.000006057928,"about_ca_topic_score_gemma":7.8990644e-7,"teacher_disagreement_score":0.012074936,"about_ca_system_score_codex":0.00006942422,"about_ca_system_score_gemma":0.000102688784,"threshold_uncertainty_score":0.33191502},"labels":[],"label_agreement":null},{"id":"W2014606744","doi":"10.1016/j.petrol.2004.03.003","title":"Comparison of three different interface mass transfer models used in the experimental measurement of solvent diffusivity in heavy oil","year":2004,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre; University of Regina","keywords":"Thermal diffusivity; Solvent; Mass transfer; Diffusion; Chemistry; Thermodynamics; Mass diffusivity; Mass transfer coefficient; Phase (matter); Analytical Chemistry (journal); Chromatography; Organic chemistry; Physics","score_opus":0.03350907745527752,"score_gpt":0.2581057942911851,"score_spread":0.22459671683590754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014606744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9352637,0.00081632583,0.063664965,0.000029498084,0.00014674368,0.000030120636,0.0000011979894,0.000005237915,0.000042242893],"genre_scores_gemma":[0.9997805,0.000035372395,0.00015819907,0.0000015393072,0.000014008861,0.000002198955,6.338529e-8,0.000008017613,1.2605031e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986493,0.000009345657,0.00044411444,0.0000790883,0.0006167556,0.0002013778],"domain_scores_gemma":[0.9997414,0.00002012637,0.00004368264,0.000100489175,0.000039913142,0.000054407512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070026494,0.00011869209,0.00031087315,0.0002478567,0.00001496683,0.000018713552,0.00026660948,0.000028841338,8.9173443e-7],"category_scores_gemma":[0.000011341908,0.00008625537,0.000054846896,0.00021141034,0.00006442247,0.00028790717,0.000017007105,0.00021150042,4.1631267e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012594507,0.000085541964,0.0006316952,0.00003140375,0.0000058278533,0.0000016915485,0.0010974497,0.48771736,0.5101957,0.00012848918,8.770302e-8,0.00009221712],"study_design_scores_gemma":[0.0009705133,0.00014837597,0.0058587636,0.0002700749,0.000007800834,0.000008300346,0.00052642863,0.7021849,0.28983822,0.000099755605,0.000001107684,0.00008571844],"about_ca_topic_score_codex":0.000014350148,"about_ca_topic_score_gemma":0.00004886282,"teacher_disagreement_score":0.2203574,"about_ca_system_score_codex":0.00026055286,"about_ca_system_score_gemma":0.000039906452,"threshold_uncertainty_score":0.3517392},"labels":[],"label_agreement":null},{"id":"W2014748746","doi":"10.1016/j.petrol.2015.01.001","title":"Modified Random Walk–Particle Tracking method to model early time behavior of EOR and sequestration of CO2 in naturally fractured oil reservoirs","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Fracture (geology); Enhanced oil recovery; Permeability (electromagnetism); Matrix (chemical analysis); Carbon sequestration; Porous medium; Particle (ecology); Geotechnical engineering; Porosity; Reservoir simulation; Geology; Mechanics; Materials science; Chemistry; Carbon dioxide; Composite material","score_opus":0.015168188009155894,"score_gpt":0.25718565118615433,"score_spread":0.24201746317699843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014748746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967768,0.00032947405,0.03167327,0.00008078735,0.000052552794,0.000027314782,0.0000020282962,0.0000128624,0.000053675307],"genre_scores_gemma":[0.9890311,0.000030866868,0.010873125,0.0000047157178,0.000027841546,0.0000021007418,2.091936e-7,0.000010473574,0.00001959776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987232,0.000019619682,0.0004563303,0.00011112205,0.00048046725,0.0002092784],"domain_scores_gemma":[0.9993094,0.00006073847,0.000096414056,0.00010412925,0.00021800236,0.00021126596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017790202,0.00011156509,0.00034566427,0.0004141079,0.000024524923,0.00004915218,0.00017824228,0.000058708414,8.8286436e-7],"category_scores_gemma":[0.00024329335,0.000091979775,0.000047137677,0.00041452565,0.000043911896,0.00056560006,0.00002847461,0.00022190268,2.0888301e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031278792,0.000009564152,0.00020182168,0.000030086447,0.000010125996,0.0000054297316,0.0008389715,0.70054156,0.29751456,0.000004096119,0.0000029942328,0.00080952625],"study_design_scores_gemma":[0.00072580425,0.00008015069,0.005083902,0.00010443799,0.000034851084,0.000016852528,0.00008490727,0.9268189,0.06693189,0.000016058431,0.000008548442,0.000093707815],"about_ca_topic_score_codex":0.00004662247,"about_ca_topic_score_gemma":0.0000058751493,"teacher_disagreement_score":0.23058267,"about_ca_system_score_codex":0.0000727433,"about_ca_system_score_gemma":0.00007053574,"threshold_uncertainty_score":0.37508264},"labels":[],"label_agreement":null},{"id":"W2017376517","doi":"10.1016/j.petrol.2011.07.006","title":"Mathematical modeling and field application of heavy oil recovery by Radio-Frequency Electromagnetic stimulation","year":2011,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electromagnetic field; Mechanics; Dielectric heating; Heat transfer; Electromagnetic radiation; Radio frequency; Sensitivity (control systems); Oil field; Field (mathematics); Radiation; Petroleum engineering; Environmental science; Computational physics; Physics; Geology; Optics; Electronic engineering; Engineering; Electrical engineering; Microwave","score_opus":0.006937986774607186,"score_gpt":0.24269102730687553,"score_spread":0.23575304053226834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017376517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69233656,0.00012322274,0.3065759,0.00003837774,0.00001212853,0.000014212142,8.158386e-7,0.0000030293763,0.00089578633],"genre_scores_gemma":[0.988898,0.000021057489,0.01101497,0.0000038754456,0.00004279924,0.0000029244193,2.836921e-7,0.000003598411,0.000012489015],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947006,0.0000028415775,0.00020688324,0.00007870552,0.00013256539,0.00010896916],"domain_scores_gemma":[0.9996948,0.00002488111,0.00008957731,0.00006753925,0.00006114991,0.000062030806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023954418,0.000056045745,0.00010672309,0.00008098538,0.000051335493,0.000020342693,0.00008675837,0.000014756869,0.00002273743],"category_scores_gemma":[0.0000126459445,0.000049924405,0.000021193078,0.0001231678,0.000030900097,0.0002541685,0.000011888584,0.0000912883,5.91902e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021758817,0.00008456491,0.0014447087,0.00004390373,0.000017764745,2.5809186e-7,0.0002512905,0.0050173798,0.95193326,0.025840323,0.000020829219,0.0153239705],"study_design_scores_gemma":[0.00038144604,0.0005405474,0.0008968703,0.000078217105,0.0000509476,0.000022452505,0.00014622534,0.9075631,0.07398912,0.01611738,0.00004113846,0.00017258189],"about_ca_topic_score_codex":0.00001967166,"about_ca_topic_score_gemma":1.046199e-7,"teacher_disagreement_score":0.9025457,"about_ca_system_score_codex":0.0000136635,"about_ca_system_score_gemma":0.00003054713,"threshold_uncertainty_score":0.20358582},"labels":[],"label_agreement":null},{"id":"W2018022022","doi":"10.1016/s0920-4105(02)00310-8","title":"An experimental investigation of the diversion characteristics of foam in Berea sandstone cores of contrasting permeabilities","year":2003,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Colorado School of Mines","keywords":"Permeability (electromagnetism); Brine; Petroleum engineering; Materials science; Enhanced oil recovery; Volumetric flow rate; Foaming agent; Porosity; Geology; Geotechnical engineering; Composite material; Mechanics; Chemistry","score_opus":0.006114099844615131,"score_gpt":0.204586475791371,"score_spread":0.19847237594675585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018022022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986885,0.00020264552,0.00087151927,0.0000026540079,0.00013560973,0.00002563677,0.0000024815151,0.0000071788218,0.00006376712],"genre_scores_gemma":[0.99814504,0.000059386337,0.0017764264,0.0000015095321,0.00001053951,6.627626e-7,1.013608e-7,0.00000547315,8.322927e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992272,0.000011587939,0.00034395183,0.000052457897,0.00025986246,0.00010489741],"domain_scores_gemma":[0.9995719,0.000061270155,0.00014809915,0.00007661286,0.00010191352,0.00004020231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056436367,0.00006790853,0.00018820207,0.00019201124,0.00002005911,0.000008668987,0.00013717132,0.000027155169,0.0000018638691],"category_scores_gemma":[0.00023492123,0.00005443679,0.00002939132,0.00020301096,0.00016282006,0.00038309777,0.000015369356,0.000103015904,1.2112172e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045874754,0.000009692438,0.029647816,0.000063028485,0.0000030598364,4.1818706e-7,0.0007885229,0.011894748,0.95718867,0.00012327578,0.000001006618,0.00027519837],"study_design_scores_gemma":[0.00015278485,0.00013126028,0.10578051,0.00026070152,0.0000053919807,0.0000109835455,0.00061244215,0.019390136,0.87357014,0.000030503612,0.0000036543897,0.000051479983],"about_ca_topic_score_codex":0.0000062087875,"about_ca_topic_score_gemma":9.850058e-7,"teacher_disagreement_score":0.0836185,"about_ca_system_score_codex":0.00007160504,"about_ca_system_score_gemma":0.000043138585,"threshold_uncertainty_score":0.22198679},"labels":[],"label_agreement":null},{"id":"W2027102828","doi":"10.1016/j.petrol.2012.11.010","title":"Using transient temperature analysis to evaluate steam circulation in SAGD start-up processes","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada); University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Injector; Superposition principle; Petroleum engineering; Process (computing); Mechanics; Transient (computer programming); Inverse; Environmental science; Computer science; Geology; Engineering; Mechanical engineering; Geometry; Mathematics; Physics","score_opus":0.030929581305627233,"score_gpt":0.30370866668907254,"score_spread":0.2727790853834453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027102828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9141299,0.00093759893,0.08439319,0.000017799572,0.00042319132,0.000041762385,0.0000011391913,0.000028132716,0.000027252314],"genre_scores_gemma":[0.98813325,0.00004707149,0.011663581,0.0000072700977,0.00012784998,0.0000017052083,3.103705e-7,0.000014581128,0.000004365756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985854,0.000015737704,0.00036978873,0.00010750349,0.000555434,0.00036616164],"domain_scores_gemma":[0.9993286,0.00005140317,0.00004236528,0.00010876575,0.00020876889,0.0002600669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001988064,0.00013991365,0.00027039778,0.0013854267,0.000050345086,0.00008457312,0.00014643744,0.00004904922,0.000005085115],"category_scores_gemma":[0.00026347977,0.00012611676,0.000053182517,0.0025808543,0.00001746208,0.0008996232,0.00001374422,0.00021501072,5.1141865e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041541202,0.0000064920714,0.0040979455,0.000058519927,0.00003451586,0.00000140385,0.0007156561,0.87139326,0.123475134,0.0000043839223,0.00000269853,0.00020580654],"study_design_scores_gemma":[0.00026122105,0.00002223339,0.06733143,0.00006892142,0.000078991696,0.000020352261,0.00013887318,0.9281332,0.0036021655,0.0000020401021,0.00018303293,0.00015754036],"about_ca_topic_score_codex":0.0000038015064,"about_ca_topic_score_gemma":0.0000023498726,"teacher_disagreement_score":0.11987297,"about_ca_system_score_codex":0.00023145587,"about_ca_system_score_gemma":0.0000739822,"threshold_uncertainty_score":0.5142892},"labels":[],"label_agreement":null},{"id":"W2027496621","doi":"10.1016/j.petrol.2012.06.007","title":"Estimation of equivalent fracture network permeability using fractal and statistical network properties","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractal; Fracture (geology); Artificial neural network; Permeability (electromagnetism); Network model; Geology; Computer science; Geotechnical engineering; Mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.012136816506141691,"score_gpt":0.2301336229759988,"score_spread":0.2179968064698571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027496621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84105504,0.0031336995,0.1554767,0.000027612059,0.00024582393,0.000021012373,7.5928824e-7,0.000014275841,0.000025080482],"genre_scores_gemma":[0.9900144,0.00012950825,0.009450715,0.000008363316,0.00038479752,4.9689356e-7,2.2573053e-7,0.000009957562,0.0000015860738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988288,0.000012904388,0.0003279429,0.00007953369,0.00039118697,0.00035962305],"domain_scores_gemma":[0.9994911,0.00006291469,0.00008215226,0.000087583074,0.0000730202,0.00020322665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012167438,0.00011733889,0.00025679727,0.00011764178,0.00009650608,0.000051062394,0.00010120341,0.00004967521,0.0000070690085],"category_scores_gemma":[0.00017211417,0.00008721047,0.00003807045,0.00022369516,0.00013085829,0.00059934566,0.000037868096,0.00024382531,2.2690436e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057432117,0.000008990955,0.0029620035,0.000112876834,0.000027108563,0.0000014978248,0.00020290032,0.9915928,0.0037626016,0.000011391324,0.000040003793,0.0012720445],"study_design_scores_gemma":[0.000094709,0.000035553378,0.029412145,0.00013147731,0.000053061878,0.00006668221,0.000052933872,0.9690038,0.000785638,0.000018629884,0.00024562256,0.00009977387],"about_ca_topic_score_codex":0.000008787563,"about_ca_topic_score_gemma":4.664452e-7,"teacher_disagreement_score":0.14895932,"about_ca_system_score_codex":0.00007664523,"about_ca_system_score_gemma":0.000036613837,"threshold_uncertainty_score":0.35563397},"labels":[],"label_agreement":null},{"id":"W2027503692","doi":"10.1016/j.petrol.2014.02.014","title":"Analysis of multi-mode nonlinear coupled axial-transverse drillstring vibration in vibration assisted rotary drilling","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency","keywords":"Vibration; Nonlinear system; Transverse plane; Drilling; Engineering; Structural engineering; Shock absorber; Directional drilling; Natural frequency; Normal mode; Mechanics; Mechanical engineering; Acoustics; Physics","score_opus":0.0072199142869872794,"score_gpt":0.21423272343344632,"score_spread":0.20701280914645903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027503692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62468034,0.0001130684,0.37482506,0.0000114431205,0.00027868972,0.000027951295,0.0000017590216,0.000037492257,0.00002422037],"genre_scores_gemma":[0.986379,0.0001289097,0.013357546,0.000005535843,0.00010170972,0.0000014636584,0.0000029921448,0.00002093593,0.0000019067681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840385,0.000011831889,0.0006620472,0.00016144582,0.0004612428,0.00029956066],"domain_scores_gemma":[0.99934906,0.00008938209,0.00012698187,0.00014331487,0.00015134113,0.00013994714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132289,0.00017941411,0.00045262722,0.0016973633,0.00005365006,0.00007001133,0.00019671804,0.00007517798,0.0000032925084],"category_scores_gemma":[0.000177926,0.00017940695,0.00011208537,0.001596145,0.000046717727,0.00073984254,0.000017609942,0.00026400515,4.2513628e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004920403,0.000011144088,0.0011476423,0.000049171435,0.000056236222,0.000002399739,0.000192137,0.725057,0.27261743,0.000015896218,4.090753e-7,0.0008455907],"study_design_scores_gemma":[0.00047846162,0.000043368666,0.02176405,0.0001439728,0.00011928027,0.000007952206,0.00006902231,0.9669524,0.010195844,0.0000013544899,0.0000547554,0.00016956],"about_ca_topic_score_codex":0.000023780207,"about_ca_topic_score_gemma":0.0000263205,"teacher_disagreement_score":0.3616987,"about_ca_system_score_codex":0.00012667848,"about_ca_system_score_gemma":0.00004249436,"threshold_uncertainty_score":0.73160034},"labels":[],"label_agreement":null},{"id":"W2027719035","doi":"10.1016/j.petrol.2010.03.026","title":"Pore-scale two-phase filtration in imbibition process through porous media at high- and low-interfacial tension flow conditions","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Imbibition; Wetting; Surface tension; Materials science; Porous medium; Phase (matter); Displacement (psychology); Porosity; Composite material; Geotechnical engineering; Chemistry; Geology; Thermodynamics; Physics","score_opus":0.004729923072647914,"score_gpt":0.2427771394128162,"score_spread":0.2380472163401683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027719035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98967874,0.000060304807,0.009437836,0.00004977754,0.0005549392,0.000042158852,0.000008500763,0.000062322986,0.00010539521],"genre_scores_gemma":[0.99447167,0.00009612538,0.005258973,0.000013558577,0.00013553904,0.0000045169636,0.000003718769,0.000013336523,0.0000025660347],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906707,0.0000040108494,0.00029413318,0.00012796394,0.0002949828,0.00021185388],"domain_scores_gemma":[0.99959946,0.000040167444,0.000066272565,0.00007542379,0.00012078178,0.00009790338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003912337,0.00012037223,0.00017578677,0.00031118316,0.00007145062,0.000065585926,0.00010093231,0.000061501036,0.00001111881],"category_scores_gemma":[0.00012304558,0.00011276434,0.000020377993,0.00026964647,0.000096478136,0.0012134915,0.00002143121,0.00033304875,6.781876e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012139509,0.000019782885,0.00018923913,0.000037859576,0.000002696944,0.000021315935,0.00042686553,0.04503746,0.95289564,0.000039231363,0.000035974386,0.0012817985],"study_design_scores_gemma":[0.0014562147,0.00022679697,0.010175993,0.00032956153,0.000018275825,0.00067932263,0.00015845311,0.465687,0.5201096,0.0007655667,0.000075725664,0.0003174707],"about_ca_topic_score_codex":0.0000058460414,"about_ca_topic_score_gemma":0.00007028258,"teacher_disagreement_score":0.43278605,"about_ca_system_score_codex":0.000097268414,"about_ca_system_score_gemma":0.000036696347,"threshold_uncertainty_score":0.45983964},"labels":[],"label_agreement":null},{"id":"W2028987456","doi":"10.1016/j.petrol.2011.07.002","title":"Monitoring of asphaltene precipitation: Experimental and modeling study","year":2011,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Asphaltene; Solubility; Precipitation; Thermodynamics; Work (physics); Light crude oil; Phase (matter); Chemistry; Materials science; Chemical engineering; Chromatography; Organic chemistry; Meteorology","score_opus":0.029016226835162626,"score_gpt":0.2638100913376311,"score_spread":0.23479386450246847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028987456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971124,0.0014969041,0.0008658167,0.00000478638,0.00006750441,0.0000024503443,2.1837207e-7,0.0000074201243,0.00044249967],"genre_scores_gemma":[0.9974702,0.000040833027,0.0023739033,8.4648906e-7,0.00008499068,9.131872e-7,2.0135099e-8,0.0000055204628,0.000022791395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999117,0.0000028618106,0.00027590198,0.00011140769,0.0003570257,0.00013576998],"domain_scores_gemma":[0.9995456,0.0000128449765,0.00012723166,0.00006835554,0.00014307498,0.00010289585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004882872,0.000080550715,0.00017341989,0.00019399123,0.00007894021,0.000040015115,0.00014203138,0.00001929928,0.0000068117024],"category_scores_gemma":[0.00006451019,0.000068956106,0.000028461009,0.00016019563,0.000050519335,0.00044490607,0.000039328992,0.0001110393,8.146495e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017703074,0.00009829775,0.03288912,0.000045167013,0.000035578916,0.000009499528,0.0032003834,0.0070496653,0.95431745,0.0000077048035,1.8340968e-7,0.0023292408],"study_design_scores_gemma":[0.001363246,0.00046688126,0.014332439,0.0005411832,0.00016203693,0.00015842561,0.029349864,0.46551678,0.4877572,0.000020201715,0.000011016184,0.00032072485],"about_ca_topic_score_codex":0.000010914427,"about_ca_topic_score_gemma":1.03636005e-7,"teacher_disagreement_score":0.46656024,"about_ca_system_score_codex":0.000032535405,"about_ca_system_score_gemma":0.000043259264,"threshold_uncertainty_score":0.28119484},"labels":[],"label_agreement":null},{"id":"W2032101581","doi":"10.1016/j.petrol.2010.03.012","title":"The optimal hydraulic fracture geometry under non-Darcy flow effects","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Darcy–Weisbach equation; Hydraulic fracturing; Fracture (geology); Darcy's law; Mechanics; Permeability (electromagnetism); Flow (mathematics); Geotechnical engineering; Fluid dynamics; Volumetric flow rate; Hydraulic conductivity; Geology; Geometry; Petroleum engineering; Mathematics; Porous medium; Porosity; Soil science; Chemistry; Physics","score_opus":0.0020821460326888963,"score_gpt":0.1912437619384752,"score_spread":0.1891616159057863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032101581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9386068,0.00081419066,0.058383208,0.00057349727,0.0012912886,0.000028305087,4.1202304e-7,0.00004382975,0.00025844947],"genre_scores_gemma":[0.9973198,0.00020862762,0.0018611255,0.00007732994,0.00046585102,0.0000017341071,1.5455491e-7,0.000020047823,0.000045340363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985634,0.00000568817,0.00027444123,0.00012700587,0.0005981399,0.00043134217],"domain_scores_gemma":[0.9991603,0.00016723358,0.000064047934,0.00022154942,0.00011426802,0.0002726202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010708398,0.0001729909,0.00022764818,0.00038656965,0.0002773888,0.00034176672,0.00048383768,0.000085814274,0.0000060579587],"category_scores_gemma":[0.00019226014,0.00010838905,0.00010561605,0.0005377158,0.00014783526,0.0006098307,0.000047980462,0.0009301412,0.0000041668486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024319957,0.0000068340437,0.00007633727,0.000031505,0.000045713536,0.000017685108,0.000073767675,0.9578507,0.039677054,0.000010165006,0.0002657058,0.0019420832],"study_design_scores_gemma":[0.00029718014,0.000064132386,0.016178567,0.00005347701,0.000048054542,0.0002011755,0.000103111044,0.9441438,0.013949981,0.000018829134,0.024728121,0.00021361327],"about_ca_topic_score_codex":0.0000069528005,"about_ca_topic_score_gemma":0.0000026149646,"teacher_disagreement_score":0.05871297,"about_ca_system_score_codex":0.000057105975,"about_ca_system_score_gemma":0.00006393263,"threshold_uncertainty_score":0.4419977},"labels":[],"label_agreement":null},{"id":"W2033817848","doi":"10.1016/j.petrol.2015.03.023","title":"Effect of waterflooding history on the efficiency of fully miscible tertiary solvent injection and optimal design of water-alternating-gas process","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Natural Resources Limited","keywords":"Water injection (oil production); Petroleum engineering; Miscibility; Solvent; Hydrocarbon; Chemistry; Environmental science; Geology; Organic chemistry","score_opus":0.010547408066276059,"score_gpt":0.21784454986145954,"score_spread":0.2072971417951835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033817848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669211,0.00043179136,0.032258004,0.0000098002165,0.00023304053,0.000058189344,3.8870118e-7,0.0000194211,0.00006825022],"genre_scores_gemma":[0.99847734,0.000057827197,0.0014166841,0.0000015923109,0.000028359382,0.0000029816945,5.0146244e-8,0.000011051991,0.000004089019],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989291,0.000021531792,0.00034849602,0.00009163389,0.00042839887,0.00018087945],"domain_scores_gemma":[0.99946046,0.00010195195,0.00013079058,0.000090067384,0.00014684066,0.000069872614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024741872,0.0001155994,0.00023438073,0.00034945423,0.000024346618,0.000016570328,0.00020908072,0.0000329648,0.000001073442],"category_scores_gemma":[0.00017594745,0.000070354516,0.000035283425,0.00012649689,0.00011165666,0.00040265638,0.000031950076,0.00016248567,8.2203556e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022782026,0.000008344328,0.00017999063,0.00016827704,0.0000076102283,0.0000013327221,0.00052921654,0.48699394,0.5116741,0.000004947732,0.0000062784143,0.00040318436],"study_design_scores_gemma":[0.00017626288,0.0011875064,0.00008121021,0.00030334393,0.000014061551,0.000039895705,0.00005613398,0.2142049,0.7838591,0.00001026642,0.0000073805177,0.000059957267],"about_ca_topic_score_codex":0.0000052518276,"about_ca_topic_score_gemma":1.1893243e-7,"teacher_disagreement_score":0.272789,"about_ca_system_score_codex":0.00014619887,"about_ca_system_score_gemma":0.00004667846,"threshold_uncertainty_score":0.2868974},"labels":[],"label_agreement":null},{"id":"W2035149286","doi":"10.1016/j.petrol.2013.03.017","title":"A methodology to constrain pressure and saturation estimation from 4D seismic using multiple simulation models and observed data","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Computer Modelling Group","keywords":"Seismic to simulation; Saturation (graph theory); Computer science; Seismic inversion; Reservoir modeling; Inversion (geology); Reservoir simulation; Process (computing); Data mining; Petroleum engineering; Geology; Algorithm; Seismology; Mathematics","score_opus":0.14568677093595014,"score_gpt":0.32424452994378056,"score_spread":0.1785577590078304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035149286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49491948,0.00039477562,0.5044858,0.000027943952,0.000101675505,0.000044085275,0.0000042627294,0.000020057714,0.0000018982352],"genre_scores_gemma":[0.6593742,0.000023500594,0.34053394,0.000008132104,0.000047543723,9.744864e-7,0.0000016918864,0.000008978867,0.0000010712367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908733,0.000030513258,0.00030309652,0.00017257182,0.00022929821,0.00017721436],"domain_scores_gemma":[0.99907434,0.00040340054,0.000059963575,0.00016267218,0.0001277959,0.00017181154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010785474,0.00012526162,0.00021570348,0.00027574363,0.000080593374,0.00022990031,0.00015330334,0.00006219325,0.0000021763487],"category_scores_gemma":[0.0007055063,0.00011691532,0.000012405252,0.00020116572,0.000050429,0.0017397623,0.00007106585,0.00016155731,1.8825268e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038241838,0.0000016353606,0.00016233188,0.000032219436,0.000015916157,6.9652094e-7,0.00024042596,0.91823894,0.07621193,0.000019456887,0.0000032933922,0.0050693434],"study_design_scores_gemma":[0.00029940595,0.00002292427,0.004865339,0.000058909984,0.00003044683,0.000021369951,0.00007375106,0.9937736,0.0005140654,0.00017309486,0.000048006867,0.00011909101],"about_ca_topic_score_codex":0.000049115464,"about_ca_topic_score_gemma":0.0000014790036,"teacher_disagreement_score":0.16445468,"about_ca_system_score_codex":0.000029677904,"about_ca_system_score_gemma":0.000029919875,"threshold_uncertainty_score":0.47676682},"labels":[],"label_agreement":null},{"id":"W2037139384","doi":"10.1016/j.petrol.2010.11.015","title":"Deformational characteristics of rock in low permeable reservoir and their effect on permeability","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Permeability (electromagnetism); Overburden; Geology; Overburden pressure; Porosity; Petroleum reservoir; Geotechnical engineering; Petroleum engineering; Petrology; Chemistry","score_opus":0.0044483491235923055,"score_gpt":0.196998801656135,"score_spread":0.19255045253254272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037139384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988817,0.00004173434,0.0006721363,0.000052139705,0.00016920039,0.000023292096,0.0000022649313,0.000009512434,0.00014800722],"genre_scores_gemma":[0.99977624,0.000046231875,0.00010748419,0.0000057136685,0.00005322334,0.000001301566,4.476902e-7,0.000006053494,0.0000032723535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991761,0.000008846421,0.00031080467,0.00007678857,0.00027124354,0.00015621986],"domain_scores_gemma":[0.9995671,0.000072218936,0.000059139267,0.00009621277,0.00009622709,0.00010913469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011227798,0.00009743395,0.00022626313,0.00042589457,0.00004083341,0.000043644875,0.00013685013,0.00004171821,0.0000062564236],"category_scores_gemma":[0.0002693804,0.0000693134,0.000038661263,0.00030814912,0.000053803036,0.00043356023,0.000022742262,0.0003172323,6.041799e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021778866,0.000026157124,0.01173126,0.000210721,0.000017011813,0.0000037911952,0.0006704021,0.61220634,0.37396732,0.00010365632,0.000006904923,0.00103469],"study_design_scores_gemma":[0.00023024352,0.00010830543,0.0539429,0.00007034331,0.000004815823,0.000025332098,0.00009857691,0.9357779,0.009556237,0.000013449172,0.00009434342,0.00007756981],"about_ca_topic_score_codex":0.000002269463,"about_ca_topic_score_gemma":0.0000051830957,"teacher_disagreement_score":0.3644111,"about_ca_system_score_codex":0.000040395105,"about_ca_system_score_gemma":0.000036580772,"threshold_uncertainty_score":0.28265184},"labels":[],"label_agreement":null},{"id":"W2038763157","doi":"10.1016/j.petrol.2012.03.001","title":"Transient flow modeling of advanced wells","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Transient (computer programming); Flow (mathematics); Mechanics; Annulus (botany); Transient flow; Slug flow; Discretization; Petroleum engineering; Geology; Two-phase flow; Materials science; Computer science; Physics; Mathematics; Surge","score_opus":0.012812314750836993,"score_gpt":0.24478210628659888,"score_spread":0.2319697915357619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038763157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7081696,0.0013143508,0.2897157,0.0000116524825,0.0005483848,0.000015973279,6.362976e-7,0.00002441694,0.0001992936],"genre_scores_gemma":[0.9366726,0.00017516727,0.06300937,0.0000029454613,0.00012016738,6.555617e-7,8.9136606e-8,0.000014048117,0.0000049430937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988838,0.0000058826877,0.00035332338,0.000059870985,0.00040138283,0.00029574058],"domain_scores_gemma":[0.9994833,0.000044504763,0.000041385203,0.00009967902,0.00012646659,0.00020468366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012386907,0.00010867329,0.00021737228,0.00036471864,0.000030640127,0.000021523318,0.00016096083,0.000034785447,0.0000045140346],"category_scores_gemma":[0.000113775444,0.00009636721,0.000055689146,0.00033745688,0.00002973147,0.0007214578,0.000013414494,0.00017591509,5.402775e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033526933,0.0000060363227,0.00010922655,0.000057649308,0.000008926773,7.093993e-7,0.00029069278,0.91804725,0.080111064,0.00003887726,0.000006410375,0.0013198208],"study_design_scores_gemma":[0.0002547004,0.000031439045,0.0010869415,0.00006625836,0.0000104700675,0.000029247434,0.000083061255,0.9915989,0.006053402,0.0000048293427,0.00068243773,0.00009833396],"about_ca_topic_score_codex":6.1498883e-7,"about_ca_topic_score_gemma":3.847934e-8,"teacher_disagreement_score":0.22850302,"about_ca_system_score_codex":0.000055888948,"about_ca_system_score_gemma":0.000023638087,"threshold_uncertainty_score":0.39297405},"labels":[],"label_agreement":null},{"id":"W2040613114","doi":"10.1016/j.petrol.2014.05.011","title":"Experimental determination of permeability of porous media in the presence of gas hydrates","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Hydrate; Permeability (electromagnetism); Saturation (graph theory); Clathrate hydrate; Porous medium; Relative permeability; Porosity; Natural gas; Mineralogy; Carbon dioxide; Chemistry; Chemical engineering; Petroleum engineering; Geology; Materials science; Geotechnical engineering; Membrane","score_opus":0.006551914558860149,"score_gpt":0.2109861546837344,"score_spread":0.20443424012487427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040613114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990114,0.00014070477,0.00032806076,0.00003777129,0.000075775584,0.000025994266,3.5291256e-7,9.1844606e-7,0.0003790517],"genre_scores_gemma":[0.9990783,0.000024054905,0.000876673,0.0000039373313,0.0000124100925,4.8753003e-7,5.9107453e-8,0.0000021765059,0.0000019225854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989614,0.000029975321,0.0003321904,0.00007970329,0.00048209063,0.000114661336],"domain_scores_gemma":[0.9994853,0.00013540479,0.00021401193,0.000097003656,0.000026230515,0.00004204003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019606662,0.000057001704,0.00015212606,0.00009374987,0.000022815531,0.000007725391,0.00028075898,0.000022158158,0.000022840533],"category_scores_gemma":[0.00026108246,0.000035912784,0.000026978716,0.00027272466,0.00031982322,0.00026803435,0.00005261197,0.000095445714,2.4185047e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010595787,0.00006172919,0.008606661,0.000021919903,0.0000015331813,0.0000010101569,0.003720512,0.025932064,0.959691,0.00007023696,0.0000018026742,0.0018809425],"study_design_scores_gemma":[0.00059648283,0.0007153291,0.17157173,0.00014888984,0.00001803361,0.00008449939,0.0023552782,0.24041864,0.58351046,0.00038208952,0.000056306115,0.00014224913],"about_ca_topic_score_codex":0.00003540323,"about_ca_topic_score_gemma":0.0000026221587,"teacher_disagreement_score":0.37618053,"about_ca_system_score_codex":0.000033497894,"about_ca_system_score_gemma":0.000012829152,"threshold_uncertainty_score":0.14644809},"labels":[],"label_agreement":null},{"id":"W2043381579","doi":"10.1016/j.petrol.2014.04.007","title":"Efficient oil displacement near the chamber edge in ES-SAGD","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Solvent; Dilution; Enhanced oil recovery; Oil sands; Asphalt; Steam injection; Phase (matter); Chemistry; Materials science; Geology; Thermodynamics; Composite material","score_opus":0.004110164061921622,"score_gpt":0.20259089664108734,"score_spread":0.1984807325791657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043381579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863454,0.00031198334,0.011775764,0.00010177822,0.00042163982,0.000016452956,3.437657e-7,0.000041116604,0.0009855359],"genre_scores_gemma":[0.99793446,0.00010199696,0.0018151794,0.000024187673,0.00008783961,0.0000034748687,4.181833e-8,0.0000126457335,0.000020144013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896204,0.000008492273,0.00026172854,0.000092991795,0.00038920707,0.00028550858],"domain_scores_gemma":[0.99961174,0.000069079775,0.000046723155,0.00013015456,0.000053490447,0.00008881501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015387242,0.00011246765,0.00015592328,0.00021004025,0.00007683965,0.00012724513,0.00020961216,0.000029485254,0.000004007095],"category_scores_gemma":[0.00013882274,0.000078702185,0.000036002897,0.00035072237,0.00010227198,0.00016351345,0.000041788142,0.0002686892,0.0000024083345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003414505,0.0000090876365,0.00023184843,0.000035135254,0.000004699227,0.0000048395996,0.0002542864,0.9504884,0.04004755,0.00026546442,0.00005058263,0.008604694],"study_design_scores_gemma":[0.00019710728,0.00006606495,0.0055785226,0.00014600015,0.0000053357962,0.000059104903,0.000039310336,0.98115516,0.0061464654,0.000014983091,0.0064688106,0.00012312151],"about_ca_topic_score_codex":0.0000030524789,"about_ca_topic_score_gemma":0.0000032158675,"teacher_disagreement_score":0.033901084,"about_ca_system_score_codex":0.0001536949,"about_ca_system_score_gemma":0.000038289945,"threshold_uncertainty_score":0.3209382},"labels":[],"label_agreement":null},{"id":"W2044187388","doi":"10.1016/j.petrol.2006.08.006","title":"Gas bubble growth in heavy oil-filled sand packs under undrained unloading","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geotechnical engineering; Bubble; Petroleum engineering; Geology; Mechanics; Physics","score_opus":0.004638124007790521,"score_gpt":0.19890686896119958,"score_spread":0.19426874495340907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044187388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967481,0.0007311634,0.0269285,0.000110110755,0.00034303562,0.000020767304,0.0000010162456,0.000115930205,0.0042684674],"genre_scores_gemma":[0.9936454,0.00026645407,0.005870304,0.000016141921,0.00013071024,0.0000025057018,2.5705452e-7,0.000023481763,0.000044691835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986282,0.000008513244,0.00040492174,0.00013854277,0.00040360456,0.00041624467],"domain_scores_gemma":[0.99954975,0.000067176356,0.000067218636,0.00009415544,0.00010548403,0.00011619985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010145298,0.00016739794,0.00026809762,0.00074050564,0.000055102228,0.00011502112,0.00022494067,0.000062705134,0.0000060989555],"category_scores_gemma":[0.000097491575,0.00015709076,0.00004986832,0.0006702734,0.0000684988,0.00080324337,0.000031134816,0.00031613006,0.0000014101138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010139518,0.000020511414,0.0011276193,0.00010590473,0.0000105950185,0.000045074663,0.000087820816,0.38923523,0.6065392,0.001024368,0.00018806172,0.00160549],"study_design_scores_gemma":[0.0021487623,0.00034125824,0.020301957,0.0010202755,0.000040498577,0.0006247053,0.00027559826,0.38964534,0.5795929,0.0037253846,0.0011966509,0.0010866578],"about_ca_topic_score_codex":0.000025142781,"about_ca_topic_score_gemma":0.000010110608,"teacher_disagreement_score":0.026946275,"about_ca_system_score_codex":0.0003306248,"about_ca_system_score_gemma":0.000060611168,"threshold_uncertainty_score":0.6405975},"labels":[],"label_agreement":null},{"id":"W2044655022","doi":"10.1016/j.petrol.2012.03.010","title":"Scale-up of mass transfer and recovery performance in heterogeneous reservoirs","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Basic Energy Sciences; Office of Science; U.S. Department of Energy","keywords":"Scaling; Scale (ratio); Volume (thermodynamics); Flow (mathematics); Statistical physics; Mass transfer; Process (computing); TRACER; Mass transport; Range (aeronautics); Multiphase flow; Mechanics; Biological system; Geology; Computer science; Mathematics; Materials science; Physics; Thermodynamics; Geometry","score_opus":0.007255810158194497,"score_gpt":0.18884285932661654,"score_spread":0.18158704916842205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044655022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976099,0.00022278189,0.0018539627,0.000050910836,0.00015012785,0.000014661007,3.3297746e-7,0.0000017744195,0.00009551479],"genre_scores_gemma":[0.9993526,0.00019392524,0.00034928948,0.000010883444,0.000020054611,7.724597e-7,2.2682002e-8,0.0000026400967,0.000069841764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927413,0.0000057870748,0.00018347547,0.000065193504,0.00028702884,0.00018437844],"domain_scores_gemma":[0.99981874,0.000016684078,0.000029827714,0.000043068438,0.00001551187,0.00007617883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880965,0.00005703545,0.00011530504,0.00011717756,0.000043853488,0.00001730157,0.0000959189,0.000015970614,0.000009169579],"category_scores_gemma":[0.000018295228,0.000041026786,0.000016464872,0.00017404299,0.00012332505,0.0008089065,0.000038552167,0.00007287486,9.483051e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031522755,0.000026680847,0.7155511,0.00004376509,0.00000763394,0.0000033957183,0.0019859252,0.015651235,0.23892586,0.0000075785474,0.000008314387,0.027756987],"study_design_scores_gemma":[0.00038313284,0.00016448456,0.96914595,0.000056900208,0.00000894604,0.00009933207,0.00031021083,0.0059295376,0.022508364,0.0000039614038,0.0012833846,0.000105770516],"about_ca_topic_score_codex":0.000007843847,"about_ca_topic_score_gemma":0.000005181931,"teacher_disagreement_score":0.25359488,"about_ca_system_score_codex":0.000057732756,"about_ca_system_score_gemma":0.000006498185,"threshold_uncertainty_score":0.16730238},"labels":[],"label_agreement":null},{"id":"W2045438987","doi":"10.1016/s0920-4105(00)00042-5","title":"Recent developments in numerical simulation techniques of thermal recovery processes","year":2000,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermal; Grid; Computer science; Computer simulation; Combustion; Petroleum engineering; Reservoir simulation; Work (physics); Mechanical engineering; Process engineering; Simulation; Engineering; Geology; Thermodynamics; Chemistry","score_opus":0.006706595385279975,"score_gpt":0.22684535988949947,"score_spread":0.2201387645042195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045438987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99024296,0.0005472225,0.007663197,0.000012167047,0.00007804952,0.00003609615,6.127872e-7,0.00006057682,0.0013591207],"genre_scores_gemma":[0.9832755,0.0022082159,0.014458904,0.0000076154383,0.000028585237,0.0000025887548,1.2362105e-7,0.000011133706,0.0000073823235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990702,0.000004649408,0.00035752548,0.00007962582,0.00030708636,0.00018087332],"domain_scores_gemma":[0.99964076,0.00005215359,0.000057708046,0.00005843935,0.00013601063,0.000054910644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053315,0.000094022165,0.00017821402,0.00036847414,0.000017815471,0.000025125237,0.00015785305,0.00004095871,0.000014936072],"category_scores_gemma":[0.00015224758,0.00008550237,0.000018387676,0.00060838455,0.00003251996,0.000714441,0.000012486154,0.0001536708,4.9377826e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015391619,0.000014767709,0.0006571109,0.00007080271,0.0000055444,0.000004641289,0.00010351782,0.6770077,0.08448045,0.000003102811,0.000007336665,0.23762967],"study_design_scores_gemma":[0.0004587809,0.00044405236,0.040128585,0.0011984258,0.000015325186,0.00008346901,0.00005926172,0.25309178,0.68891275,0.00009019301,0.014987417,0.0005299678],"about_ca_topic_score_codex":0.0000013452748,"about_ca_topic_score_gemma":6.1880314e-7,"teacher_disagreement_score":0.6044323,"about_ca_system_score_codex":0.00014468032,"about_ca_system_score_gemma":0.000092733135,"threshold_uncertainty_score":0.34866855},"labels":[],"label_agreement":null},{"id":"W2047230549","doi":"10.1016/j.petrol.2010.02.006","title":"Filtration loss characteristics of aqueous waxy hull-less barley (WHB) solutions","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Filtration (mathematics); Biopolymer; Chemistry; Aqueous solution; Xanthan gum; Chromatography; Bentonite; Chemical engineering; Pulp and paper industry; Materials science; Organic chemistry; Composite material; Polymer; Rheology","score_opus":0.006261137437779399,"score_gpt":0.1838524292625807,"score_spread":0.1775912918248013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047230549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325759,0.00021386018,0.06524283,0.000035465633,0.0016228411,0.000023663319,0.0000052473947,0.000057418216,0.00022279331],"genre_scores_gemma":[0.9969078,0.00019444306,0.002563632,0.0000044663984,0.00029787194,0.0000011592317,6.504067e-7,0.000019757,0.000010255805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879026,0.0000030736617,0.00041649252,0.00009868227,0.00037176258,0.0003197085],"domain_scores_gemma":[0.99934065,0.000049721795,0.00009104975,0.00014210261,0.00019904572,0.0001774285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075080834,0.00014102497,0.00024469636,0.00037795873,0.00008028245,0.0000742244,0.00023999726,0.000067873436,0.0000063557954],"category_scores_gemma":[0.00018727346,0.0001345361,0.000056806544,0.00031884378,0.00010170149,0.00047712424,0.000026620111,0.000427683,0.0000014918803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032729952,0.000014769491,0.0006502097,0.00011147995,0.000019873945,0.000014281404,0.00019515524,0.328272,0.6628432,0.00060029206,0.000040322535,0.0072350977],"study_design_scores_gemma":[0.00025306616,0.000073493255,0.014455084,0.00014185584,0.00003071412,0.00034431252,0.00006964344,0.96379256,0.018991956,0.00002607834,0.0015797123,0.00024152825],"about_ca_topic_score_codex":0.0000037143486,"about_ca_topic_score_gemma":0.0000021151823,"teacher_disagreement_score":0.6438513,"about_ca_system_score_codex":0.00004520586,"about_ca_system_score_gemma":0.00006638482,"threshold_uncertainty_score":0.54862225},"labels":[],"label_agreement":null},{"id":"W2047888156","doi":"10.1016/j.petrol.2009.06.016","title":"Flow of dispersed particles through porous media — Deep bed filtration","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":239,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Porous medium; Particle deposition; Filtration (mathematics); Suspension (topology); Porosity; Materials science; Mechanics; Permeability (electromagnetism); Particle (ecology); Pressure drop; Particle size; Deposition (geology); Chemical engineering; Composite material; Chemistry; Geology; Engineering; Membrane; Physics; Mathematics","score_opus":0.007716649490793101,"score_gpt":0.20988900259682217,"score_spread":0.20217235310602907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047888156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9039821,0.00028840604,0.09513988,0.00015266615,0.00022595399,0.000023265226,9.850116e-7,0.000028067172,0.00015865262],"genre_scores_gemma":[0.98661536,0.00011194311,0.013169463,0.000027330065,0.00006826966,5.011904e-7,7.5924044e-7,0.0000050720905,0.0000013155577],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912775,0.0000048667216,0.0002997555,0.000061812556,0.000333955,0.00017186104],"domain_scores_gemma":[0.9996339,0.000041268926,0.00007044281,0.00006087938,0.00011842173,0.00007507798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003499092,0.00007870532,0.00014132661,0.00011017212,0.000039955823,0.000041965493,0.00009933084,0.000025995103,0.000006180781],"category_scores_gemma":[0.00018173724,0.00006975499,0.000026585312,0.0002695078,0.00004304886,0.00078653946,0.0000036257336,0.00009996786,6.9170676e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008213973,0.000012111773,0.00007062172,0.000013411774,0.0000069554644,0.000002548878,0.0030436306,0.27888167,0.71040064,0.0005021236,0.00004380416,0.007014265],"study_design_scores_gemma":[0.00040095847,0.00020418577,0.014112175,0.00004381138,0.000018526676,0.000050443174,0.0004439731,0.8939934,0.09021414,0.0003382751,0.000058896054,0.00012121161],"about_ca_topic_score_codex":8.848367e-7,"about_ca_topic_score_gemma":0.0000019056457,"teacher_disagreement_score":0.6201865,"about_ca_system_score_codex":0.000060574603,"about_ca_system_score_gemma":0.000050955998,"threshold_uncertainty_score":0.28445262},"labels":[],"label_agreement":null},{"id":"W2051094225","doi":"10.1016/s0920-4105(01)00111-5","title":"Modeling forced versus spontaneous capillary imbibition processes commonly occurring in porous sediments","year":2001,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta; University of Minnesota","keywords":"Imbibition; Wetting; Capillary action; Porous medium; Mechanics; Phase (matter); Porosity; Petroleum engineering; Geology; Geotechnical engineering; Thermodynamics; Chemistry; Physics","score_opus":0.009922242862080675,"score_gpt":0.2251068651093829,"score_spread":0.21518462224730223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051094225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837684,0.0008346402,0.014397489,0.000012662444,0.00039237618,0.00003880046,7.280756e-7,0.00009923456,0.00045564602],"genre_scores_gemma":[0.9966581,0.00081488595,0.0024107655,0.0000120504565,0.00007824268,0.000002879263,3.2096352e-7,0.00001988918,0.0000028562085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987618,0.0000043276855,0.0003551804,0.00012329867,0.00041052667,0.00034491147],"domain_scores_gemma":[0.9995602,0.00004741601,0.000050134757,0.000090779766,0.00013659104,0.00011492977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053491583,0.000147452,0.0002099422,0.00059114385,0.00005390405,0.00007715585,0.00021153764,0.00005125888,0.0000023954196],"category_scores_gemma":[0.00016486326,0.0001490918,0.000027028467,0.0005686224,0.000028755194,0.0009624192,0.00003255726,0.0002766276,6.9336573e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039189206,0.000009956244,0.00027169395,0.000081237326,0.0000080821865,0.0003306995,0.00014339873,0.93607676,0.061177228,0.000013737921,0.000006102357,0.00184193],"study_design_scores_gemma":[0.00067506445,0.00019155776,0.0002922135,0.00043005645,0.000012032397,0.0016454301,0.00016491566,0.98174125,0.014387544,0.00004609338,0.00016628554,0.0002475534],"about_ca_topic_score_codex":0.000014528295,"about_ca_topic_score_gemma":0.000026100854,"teacher_disagreement_score":0.046789683,"about_ca_system_score_codex":0.00033564607,"about_ca_system_score_gemma":0.00007685157,"threshold_uncertainty_score":0.6079787},"labels":[],"label_agreement":null},{"id":"W2057172250","doi":"10.1016/j.petrol.2005.03.001","title":"Yield stress behavior for crude oil–polymer emulsions","year":2005,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Polymer; Yield (engineering); Emulsion; Rheometer; Materials science; Stress (linguistics); Aqueous solution; Composite material; Chemistry; Rheology; Organic chemistry","score_opus":0.008939179830799232,"score_gpt":0.23288978304898428,"score_spread":0.22395060321818505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057172250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646996,0.00123819,0.032870255,0.00009456331,0.00046362923,0.000029317402,0.000008065458,0.00011328784,0.0004830645],"genre_scores_gemma":[0.985839,0.000328862,0.013403973,0.000020475954,0.00027353643,0.000013634047,1.8575898e-7,0.000020582216,0.00009972296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904615,0.0000015314691,0.0002723147,0.00009751732,0.00028909172,0.00029340803],"domain_scores_gemma":[0.9995265,0.00005572931,0.000050532613,0.00010491076,0.00010936051,0.00015295907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003265612,0.00011963867,0.00017028014,0.00033761858,0.000069590715,0.00007431586,0.00024417503,0.000048097605,0.00000974618],"category_scores_gemma":[0.00011572115,0.00010893655,0.000062987696,0.00019679735,0.000047119756,0.0007127079,0.000024900093,0.00019591983,0.0000010736671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004585548,0.000022160948,0.0002529844,0.000052233976,0.00001132164,0.0000055652526,0.00011197273,0.05174911,0.8981502,0.00014531691,0.0002952007,0.049199324],"study_design_scores_gemma":[0.00031152042,0.00016606771,0.0033080445,0.00029669722,0.000037714733,0.0001319602,0.00009389899,0.09072032,0.898547,0.000009839033,0.0060591334,0.00031782905],"about_ca_topic_score_codex":0.0000016910642,"about_ca_topic_score_gemma":0.0000029205676,"teacher_disagreement_score":0.048881494,"about_ca_system_score_codex":0.0001153048,"about_ca_system_score_gemma":0.00003341394,"threshold_uncertainty_score":0.44423035},"labels":[],"label_agreement":null},{"id":"W2057840273","doi":"10.1016/j.petrol.2015.04.005","title":"Analysis of steam–solvent–bitumen phase behavior and solvent mass transfer for improving the performance of the ES-SAGD process","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solvent; Steam-assisted gravity drainage; Mass transfer; Dissolution; Asphalt; Petroleum engineering; Chemistry; Steam injection; Oil sands; Chemical engineering; Waste management; Materials science; Chromatography; Organic chemistry; Geology; Engineering; Composite material","score_opus":0.01078953744130377,"score_gpt":0.24709538542623816,"score_spread":0.2363058479849344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057840273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97019583,0.00042646925,0.029098071,0.000015767106,0.0001361501,0.000092155715,0.0000070661185,0.0000138072455,0.000014710014],"genre_scores_gemma":[0.9989492,0.00009429997,0.0008995347,0.000003657626,0.000025420224,0.000012756351,1.6153217e-7,0.000010571869,0.0000043780087],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989415,0.0000052918303,0.0003601063,0.00009157653,0.00040935527,0.0001922051],"domain_scores_gemma":[0.9994338,0.00003996344,0.00009573623,0.00013258924,0.00021674513,0.00008116454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011405898,0.00010902919,0.0002597972,0.0002877211,0.000053264946,0.00003183969,0.0003069442,0.00003194138,8.12367e-7],"category_scores_gemma":[0.000065036125,0.00006783382,0.00009417551,0.0005529078,0.00010682669,0.0004467084,0.000021716533,0.00015197694,1.5913447e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023098215,0.000028579047,0.0037746558,0.00022768183,0.00008847223,6.942351e-7,0.0006285936,0.31552622,0.6744843,0.000019959203,0.0000033404765,0.0051943706],"study_design_scores_gemma":[0.00049264426,0.0003330257,0.004458736,0.00010333904,0.00037203994,0.000013966263,0.000260396,0.62729526,0.36652082,0.0000059814424,0.0000384376,0.00010533581],"about_ca_topic_score_codex":0.000002427945,"about_ca_topic_score_gemma":0.0000020567584,"teacher_disagreement_score":0.31176904,"about_ca_system_score_codex":0.00006713455,"about_ca_system_score_gemma":0.00007461243,"threshold_uncertainty_score":0.2766183},"labels":[],"label_agreement":null},{"id":"W2058021048","doi":"10.1016/j.petrol.2012.01.021","title":"Laboratory scale experimental analysis of Steam-Over-Solvent injection in Fractured Reservoirs (SOS-FR) for heavy-oil recovery","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Petroleum engineering; Steam injection; Scale (ratio); Environmental science; Solvent; Geology; Chemistry; Organic chemistry","score_opus":0.006398725021605223,"score_gpt":0.24414922452054064,"score_spread":0.23775049949893542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058021048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850457,0.002178447,0.012106563,0.000008835335,0.00048487695,0.00003044214,0.00001013428,0.000033437827,0.00010160193],"genre_scores_gemma":[0.9951543,0.0002358279,0.0044692284,0.000010155303,0.000094867944,0.000012084195,7.310216e-7,0.000016638689,0.0000061277915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99875015,0.000009783999,0.0004324296,0.00010934847,0.00037642574,0.00032187637],"domain_scores_gemma":[0.999423,0.000072464005,0.00012628788,0.00012824227,0.000120072036,0.00012987836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012331974,0.00013292064,0.0003415843,0.0012304718,0.00003616078,0.000032939875,0.00017517757,0.000069240676,0.000006897423],"category_scores_gemma":[0.000119845376,0.00012921951,0.00010798012,0.0011579598,0.000046452245,0.0012551029,0.000028868128,0.00019538635,1.5274156e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046343677,0.000050269082,0.0034653114,0.00007163152,0.00008401305,9.610748e-7,0.00042321347,0.36797652,0.6266814,0.000017855786,0.00007922583,0.0011032999],"study_design_scores_gemma":[0.00059833244,0.00044816604,0.045974787,0.00024972178,0.00014331013,0.000012988362,0.00058097224,0.15200093,0.79823714,0.00001635111,0.0013991225,0.00033817184],"about_ca_topic_score_codex":0.00001227134,"about_ca_topic_score_gemma":0.000011339982,"teacher_disagreement_score":0.21597558,"about_ca_system_score_codex":0.0004037576,"about_ca_system_score_gemma":0.000046053046,"threshold_uncertainty_score":0.5269419},"labels":[],"label_agreement":null},{"id":"W2059689106","doi":"10.1016/j.petrol.2012.09.008","title":"Optimization of SAGD and solvent additive SAGD applications: Comparative analysis of optimization techniques with improved algorithm configuration","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Saudi Aramco","keywords":"Optimization algorithm; Algorithm; Solvent; Petroleum engineering; Mathematical optimization; Computer science; Engineering; Mathematics; Chemistry; Organic chemistry","score_opus":0.010582873610556877,"score_gpt":0.2615898234652402,"score_spread":0.2510069498546833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059689106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051266097,0.000476282,0.94801116,0.0000055404353,0.000038644033,0.00008346863,0.000006781462,0.000024432762,0.00008757181],"genre_scores_gemma":[0.6617715,0.00021327412,0.33796462,0.0000011608773,0.000031314576,0.0000069438784,0.0000037456525,0.0000058056753,0.0000016860969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991172,0.000012726767,0.00037681882,0.00008107249,0.0002692598,0.00014292772],"domain_scores_gemma":[0.99915266,0.00008496694,0.0001893441,0.00008795316,0.00038586944,0.00009918925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114191,0.000110296234,0.0003131965,0.0007330914,0.000038618247,0.000028393044,0.000082949875,0.00004144132,0.0000049681953],"category_scores_gemma":[0.000042850235,0.00009382154,0.00003649981,0.00093281904,0.00008127228,0.00067257544,0.000012175991,0.00010030443,2.4929266e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065550607,0.000013134835,0.00015606696,0.000034226883,0.00011575754,9.9009554e-8,0.0003134819,0.9799048,0.01736992,0.000061026298,0.0000013232587,0.0020236287],"study_design_scores_gemma":[0.0001783447,0.00008282903,0.0017751751,0.000046115492,0.00015481873,0.000006193837,0.00019375811,0.9688038,0.02860879,0.0000011443905,0.00005842372,0.00009058055],"about_ca_topic_score_codex":0.000002859695,"about_ca_topic_score_gemma":2.8391335e-7,"teacher_disagreement_score":0.61050534,"about_ca_system_score_codex":0.000055540822,"about_ca_system_score_gemma":0.000027392638,"threshold_uncertainty_score":0.38259313},"labels":[],"label_agreement":null},{"id":"W2060187846","doi":"10.1016/j.petrol.2009.02.010","title":"Experimental determination of butane dispersion in vapor extraction of heavy oil and bitumen","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Butane; Asphalt; Dispersion (optics); Extraction (chemistry); Petroleum engineering; Environmental science; Environmental chemistry; Chemistry; Geology; Materials science; Chromatography; Organic chemistry; Physics; Composite material; Optics","score_opus":0.006131325804157659,"score_gpt":0.2439044565577167,"score_spread":0.23777313075355905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060187846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985059,0.00083126564,0.000276522,0.000055771536,0.00002362555,7.5822686e-7,4.8535384e-7,0.000002799471,0.00030291043],"genre_scores_gemma":[0.9989201,0.00014507922,0.00084971415,0.0000028414315,0.000027117694,1.5927512e-7,1.4364683e-7,0.0000021930323,0.000052675692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992809,0.000002359917,0.00025838098,0.00008026948,0.0002779418,0.00010009263],"domain_scores_gemma":[0.999643,0.000016053133,0.00017683227,0.0000437014,0.000065021726,0.00005535435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033493855,0.000059577098,0.00015966098,0.0002855036,0.000029089553,0.000021206155,0.00007416866,0.000027271177,0.000003987896],"category_scores_gemma":[0.000058014604,0.00005155642,0.000027712556,0.0001902385,0.00005166398,0.00040846632,0.000010517949,0.000091035196,3.0043015e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016849663,0.000039681083,0.00072271307,0.000040777733,0.0000019472438,0.0000045074667,0.00015576412,0.0006381842,0.9701777,0.000004774852,3.0814866e-7,0.02819679],"study_design_scores_gemma":[0.00046698475,0.00013168389,0.005184251,0.0003476455,0.000019677147,0.00015668364,0.00071701047,0.07971031,0.91312885,0.0000059702406,0.000046359713,0.00008456835],"about_ca_topic_score_codex":0.0000072341336,"about_ca_topic_score_gemma":3.9374004e-7,"teacher_disagreement_score":0.07907213,"about_ca_system_score_codex":0.000057400426,"about_ca_system_score_gemma":0.000035861754,"threshold_uncertainty_score":0.21024098},"labels":[],"label_agreement":null},{"id":"W2060706954","doi":"10.1016/j.petrol.2010.03.017","title":"Correlation for the effect of fluid viscosities on counter-current spontaneous imbibition","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; U.S. Department of Energy","keywords":"Imbibition; Viscosity; Inviscid flow; Thermodynamics; Wetting; Mechanics; Chemistry; Mineralogy; Petroleum engineering; Geology; Physics","score_opus":0.002900121667627107,"score_gpt":0.2147592801415417,"score_spread":0.2118591584739146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060706954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9060099,0.00025738278,0.09222669,0.000018065606,0.0013115519,0.00006405353,0.000002876003,0.000030679243,0.000078773315],"genre_scores_gemma":[0.9991278,0.000120027944,0.00059687695,0.0000033769188,0.000133245,0.0000057070342,2.2704589e-7,0.000009603842,0.0000031405089],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993462,0.0000035797968,0.0001948428,0.000057577396,0.000266136,0.00013166906],"domain_scores_gemma":[0.99939406,0.00033653475,0.00006407071,0.000081907805,0.00008900625,0.00003441373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008639428,0.000086804794,0.00013221128,0.00020471025,0.000053154065,0.00004160679,0.00013931243,0.000029185952,0.0000018427504],"category_scores_gemma":[0.00020623571,0.000058865808,0.000048531667,0.00011737993,0.000058411708,0.00027048585,0.000009406794,0.00023106985,3.0781823e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043299366,0.000004632443,0.000066419794,0.00010671896,0.000009863723,0.000003295154,0.00007094178,0.35743484,0.6296953,0.00018286977,0.00012138365,0.012260444],"study_design_scores_gemma":[0.0002718149,0.0008218862,0.0016693317,0.0002255046,0.000027494827,0.00025748083,0.000014802945,0.74897146,0.24624911,0.000028228656,0.001359778,0.00010307639],"about_ca_topic_score_codex":8.0395836e-7,"about_ca_topic_score_gemma":0.0000015647651,"teacher_disagreement_score":0.39153665,"about_ca_system_score_codex":0.000060214432,"about_ca_system_score_gemma":0.000017628105,"threshold_uncertainty_score":0.2400478},"labels":[],"label_agreement":null},{"id":"W2061258839","doi":"10.1016/j.petrol.2014.08.018","title":"New tools to determine bubble point pressure of crude oils: Experimental and modeling study","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University; Memorial University of Newfoundland","funders":"","keywords":"Bubble point; Gene expression programming; Bubble; Petroleum engineering; Mean squared error; Function (biology); Computer science; Experimental data; Mathematics; Statistics; Geology; Machine learning","score_opus":0.016021078213958238,"score_gpt":0.2514122846671814,"score_spread":0.23539120645322317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061258839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859573,0.000704704,0.01297128,0.000044647448,0.00004028585,0.000004545359,6.7366864e-7,0.000009620525,0.00026691298],"genre_scores_gemma":[0.9961876,0.00000957103,0.0035060046,0.000011840438,0.00013700314,8.6878805e-7,6.2354694e-8,0.000007912626,0.00013910004],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988669,0.0000043502955,0.00032424973,0.00016609435,0.00044052844,0.00019783604],"domain_scores_gemma":[0.99938405,0.000028249557,0.00011546097,0.0001177555,0.00010264147,0.0002518259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006441727,0.000113934184,0.00027442054,0.00022225604,0.00007629307,0.00014103852,0.00022535598,0.000025551608,0.000011581608],"category_scores_gemma":[0.00018268704,0.00009497303,0.000040301984,0.00017898646,0.00002757345,0.000462713,0.00008196379,0.00013328393,2.1712272e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014047575,0.000035561137,0.0007049207,0.000041210635,0.000022089756,0.0000033429756,0.00071809214,0.0437198,0.9495221,0.000004516585,0.0000050100475,0.0052093435],"study_design_scores_gemma":[0.00095175137,0.00036829952,0.00035777848,0.00029603823,0.000117037656,0.00009941512,0.0022885837,0.69083303,0.30411515,0.000007369452,0.0003387946,0.00022671836],"about_ca_topic_score_codex":0.000025439367,"about_ca_topic_score_gemma":0.0000012587451,"teacher_disagreement_score":0.64711326,"about_ca_system_score_codex":0.000027692058,"about_ca_system_score_gemma":0.00006404155,"threshold_uncertainty_score":0.38728878},"labels":[],"label_agreement":null},{"id":"W2064618325","doi":"10.1016/j.petrol.2010.03.022","title":"Numerical simulations of wellbore stability in under-balanced-drilling wells","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Underbalanced drilling; Lost circulation; Borehole; Drilling fluid; Pore water pressure; Drilling; Wellbore; Petroleum engineering; Finite element method; Geology; Geotechnical engineering; Stability (learning theory); Engineering; Structural engineering; Mechanical engineering","score_opus":0.00727926081843993,"score_gpt":0.20997521086016288,"score_spread":0.20269595004172294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064618325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663769,0.0001755027,0.032441813,0.00003922477,0.00073862285,0.00002662065,0.0000020387474,0.000036720976,0.00016256006],"genre_scores_gemma":[0.9970345,0.000056106575,0.0027760305,0.000004634145,0.00011022262,5.342706e-7,2.0993033e-7,0.00001625924,0.0000015411342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987748,0.0000041892094,0.00045394595,0.00011720389,0.0003565063,0.0002933097],"domain_scores_gemma":[0.9994149,0.000113681046,0.00006515624,0.00014234739,0.000114428214,0.00014947966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076523697,0.00013184446,0.00026952065,0.0004342611,0.000035978268,0.000037993053,0.00021784574,0.000060593757,0.000010441689],"category_scores_gemma":[0.00016723468,0.00012427506,0.000048403104,0.00059052283,0.00008224711,0.00039652555,0.000019260237,0.0004899014,6.576199e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019060195,0.000010008985,0.0026414718,0.000046034467,0.000004869354,0.000002232629,0.0001410336,0.7808938,0.21585722,0.00009840363,0.000002345659,0.00030065526],"study_design_scores_gemma":[0.00022859297,0.00003154474,0.012933151,0.00007925155,0.000006402086,0.000025633362,0.00005684672,0.9620966,0.024044506,0.000046623543,0.0003216026,0.00012927117],"about_ca_topic_score_codex":0.0000075591875,"about_ca_topic_score_gemma":0.000004259816,"teacher_disagreement_score":0.19181272,"about_ca_system_score_codex":0.00006897116,"about_ca_system_score_gemma":0.000059396538,"threshold_uncertainty_score":0.50677896},"labels":[],"label_agreement":null},{"id":"W2066257774","doi":"10.1016/j.petrol.2008.12.035","title":"Effect of sample shape on counter-current spontaneous imbibition production vs time curves","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Engineering and Physical Sciences Research Council; U.S. Department of Energy","keywords":"Imbibition; Shape factor; Surface tension; Mechanics; Porosity; Relative permeability; Saturation (graph theory); Core (optical fiber); Porous medium; Permeability (electromagnetism); Geometry; Mineralogy; Chemistry; Materials science; Thermodynamics; Physics; Mathematics; Composite material","score_opus":0.0031787182597355483,"score_gpt":0.21890859673932,"score_spread":0.21572987847958447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066257774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996371,0.0008399745,0.002061317,0.00005883595,0.00041973908,0.00005647013,0.000002686793,0.00007665221,0.00011337479],"genre_scores_gemma":[0.99830294,0.00095722196,0.000588474,0.0000130093,0.00012338195,0.0000013690037,5.456237e-7,0.000009175119,0.00000389515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990138,0.0000099455265,0.0002627887,0.00010572573,0.00042396877,0.00018378401],"domain_scores_gemma":[0.99955475,0.00009773202,0.00008298009,0.00009683771,0.00010576203,0.000061954386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010229958,0.00012369278,0.00022813768,0.00035435843,0.000031233267,0.000028085624,0.00013858148,0.000026676144,0.0000063465336],"category_scores_gemma":[0.00040654515,0.00010492369,0.00004847032,0.00027279262,0.00003547887,0.0004415319,0.000008435738,0.00020173771,0.0000014027269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009519201,0.00003379031,0.000060679267,0.0004922647,0.000011740707,0.000023840803,0.00005636647,0.09562211,0.83258384,0.000023301134,0.0006803097,0.070316575],"study_design_scores_gemma":[0.00041810988,0.0049858526,0.004228743,0.0039735613,0.000052992134,0.0010393613,0.0000051309967,0.20170026,0.781785,0.0000721599,0.0013688768,0.0003699699],"about_ca_topic_score_codex":6.1833083e-7,"about_ca_topic_score_gemma":1.7670473e-7,"teacher_disagreement_score":0.10607815,"about_ca_system_score_codex":0.00015172601,"about_ca_system_score_gemma":0.000021255046,"threshold_uncertainty_score":0.42786637},"labels":[],"label_agreement":null},{"id":"W2068206510","doi":"10.1016/j.petrol.2013.08.025","title":"An assessment of non-wetting phase relative permeability in water-wet sandstones based on quantitative MRI of capillary end effects","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Saudi Aramco","keywords":"Wetting; Capillary pressure; Relative permeability; Capillary action; Saturation (graph theory); Permeability (electromagnetism); Spark plug; Materials science; Mechanics; Chemistry; Geology; Composite material; Porous medium; Thermodynamics; Physics; Porosity; Mathematics","score_opus":0.005833875467792343,"score_gpt":0.33875782630138307,"score_spread":0.3329239508335907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068206510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514346,0.000011800062,0.048104543,0.000080453254,0.000042414078,0.00007304393,0.000002547089,0.0000018390708,0.00024874645],"genre_scores_gemma":[0.99083906,0.0000017501397,0.009114614,0.0000041364915,0.000027373926,0.000006984017,8.4357924e-7,0.000004035809,0.000001205185],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918944,0.000018853802,0.0002845084,0.00011295256,0.00023766088,0.00015657446],"domain_scores_gemma":[0.9994136,0.00012650105,0.00015286633,0.000102079364,0.00012873596,0.000076189426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006722205,0.00008400375,0.00020903167,0.00020559937,0.000054817498,0.000022800972,0.00012583626,0.000014198203,0.000018534365],"category_scores_gemma":[0.000016910177,0.000060819715,0.00004045944,0.00018312203,0.00010455418,0.00048129846,0.000014189456,0.00016293704,2.9410273e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009149019,0.0002484521,0.019307518,0.000036597346,0.000009275286,6.8215184e-7,0.0005203254,0.045572616,0.93142205,0.0023048327,0.0000018365075,0.0005666647],"study_design_scores_gemma":[0.0009096286,0.0009391018,0.12928887,0.00016729697,0.000014914608,9.4480697e-7,0.0005906778,0.5640582,0.30359605,0.0003301169,0.0000067579504,0.000097445336],"about_ca_topic_score_codex":0.0000620796,"about_ca_topic_score_gemma":6.09957e-7,"teacher_disagreement_score":0.62782604,"about_ca_system_score_codex":0.00004156288,"about_ca_system_score_gemma":0.00008863533,"threshold_uncertainty_score":0.2480156},"labels":[],"label_agreement":null},{"id":"W2071095553","doi":"10.1016/j.petrol.2005.04.005","title":"A laboratory feasibility study of dilute surfactant injection for the Yibal field, Oman","year":2005,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sultan Qaboos University","keywords":"Imbibition; Pulmonary surfactant; Oil in place; Petroleum engineering; Capillary action; Oil field; Chromatography; Well stimulation; Enhanced oil recovery; Chemistry; Geology; Chemical engineering; Materials science; Petroleum; Reservoir engineering; Composite material; Engineering; Organic chemistry","score_opus":0.008990699727376032,"score_gpt":0.24427825711285825,"score_spread":0.2352875573854822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071095553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97549015,0.0002563244,0.023796039,0.000039090806,0.0002624011,0.00008757686,0.0000018094515,0.000035910994,0.00003070731],"genre_scores_gemma":[0.9971974,0.00005331224,0.0026288368,0.0000072267026,0.00009733106,0.0000045563606,2.455275e-8,0.000008063544,0.0000032759033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992196,0.0000056229737,0.00027211272,0.00007871866,0.0002704128,0.00015350817],"domain_scores_gemma":[0.99944746,0.00013496459,0.00007075041,0.00012118686,0.00017409134,0.000051527993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010894563,0.00008258216,0.00014813973,0.00015393202,0.00006052158,0.000034772864,0.00019263626,0.000027626296,0.000001586455],"category_scores_gemma":[0.00021243749,0.00005980664,0.000035417946,0.0002688201,0.000030761916,0.00046538017,0.000020708272,0.00016268872,1.0255465e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004149366,0.00009214418,0.0053197932,0.00008131179,0.000047006626,0.00000207092,0.0010925424,0.6148144,0.36624917,0.000027598764,0.00015445754,0.012078021],"study_design_scores_gemma":[0.0013048819,0.0033820232,0.090963155,0.0001625914,0.000085797816,0.00007012857,0.0016288774,0.6645263,0.23573719,0.000043106495,0.0017354086,0.0003605501],"about_ca_topic_score_codex":0.000006054525,"about_ca_topic_score_gemma":0.00002293611,"teacher_disagreement_score":0.13051197,"about_ca_system_score_codex":0.00011985568,"about_ca_system_score_gemma":0.000039937193,"threshold_uncertainty_score":0.2438844},"labels":[],"label_agreement":null},{"id":"W2074983437","doi":"10.1016/j.petrol.2005.10.003","title":"A comparison of two sanding criteria in physical and numerical modeling of sand production","year":2005,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Deformation (meteorology); Computer simulation; Geotechnical engineering; Numerical analysis; Flow (mathematics); Stability (learning theory); Softening; Petroleum engineering; Cylinder; Geology; Mechanics; Experimental data; Materials science; Engineering; Computer science; Mathematics; Mechanical engineering","score_opus":0.01403951574634657,"score_gpt":0.2869588358103508,"score_spread":0.2729193200640042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074983437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97546303,0.0006159428,0.02370389,0.000052438692,0.00008500138,0.000013036422,2.4868754e-7,0.000007504903,0.000058930604],"genre_scores_gemma":[0.99760574,0.000057883382,0.0021865894,0.0000010622109,0.00014100467,3.95922e-7,5.83822e-8,0.000006110731,0.0000011420202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914956,0.000006101833,0.0003372061,0.00008443176,0.00027338928,0.00014929834],"domain_scores_gemma":[0.99971867,0.000022781427,0.00006396845,0.000061579696,0.000060736384,0.00007225966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000436,0.000079512625,0.00031017227,0.0004013869,0.000024999723,0.00002049279,0.00008832621,0.000016701444,0.0000012264474],"category_scores_gemma":[0.00008626198,0.00006605891,0.00003601596,0.00032035154,0.00005065715,0.00035194075,0.000020557192,0.00017364969,7.7086746e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044983303,0.000018335184,0.0016726025,0.00005635031,0.000009186614,7.3162755e-7,0.0007547683,0.8145302,0.1820026,0.0000031074667,0.000002814329,0.0009448321],"study_design_scores_gemma":[0.0001860114,0.000034066616,0.0016277155,0.00012777664,0.000017111448,0.000020459092,0.00012145913,0.963308,0.03447479,0.00000734611,0.0000141013425,0.000061182436],"about_ca_topic_score_codex":0.000011044034,"about_ca_topic_score_gemma":0.0000012303975,"teacher_disagreement_score":0.14877781,"about_ca_system_score_codex":0.000046327576,"about_ca_system_score_gemma":0.000017348033,"threshold_uncertainty_score":0.26938042},"labels":[],"label_agreement":null},{"id":"W2079172500","doi":"10.1016/j.petrol.2007.02.005","title":"Temperature effects on the heavy oil/water relative permeabilities of carbonate rocks","year":2007,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relative permeability; Dolomite; Carbonate; Carbonate rock; Saturation (graph theory); Permeability (electromagnetism); Wetting; Petroleum engineering; Residual oil; Petroleum reservoir; Geology; Water saturation; Mineralogy; Chemistry; Geotechnical engineering; Porosity; Materials science; Composite material; Metallurgy","score_opus":0.004580893368219086,"score_gpt":0.19272695539024493,"score_spread":0.18814606202202583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079172500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968549,0.00036975933,0.00084216695,0.0003247821,0.0002662747,0.000016231432,4.5214148e-7,0.000017708566,0.0013076991],"genre_scores_gemma":[0.99962074,0.000092484246,0.000071976,0.000029508416,0.000108542474,9.402906e-7,1.2816314e-7,0.000009470986,0.00006621684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893296,0.000010923704,0.00027621913,0.000078619225,0.00046974185,0.00023152375],"domain_scores_gemma":[0.99947155,0.00014272139,0.000041057887,0.00010926772,0.0001335301,0.00010187955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013104306,0.00011154011,0.00019280803,0.0003619622,0.00008161065,0.000043718497,0.00017683854,0.00004494829,0.0000046008217],"category_scores_gemma":[0.00015399198,0.00006002009,0.00007393411,0.00033003185,0.000086629974,0.00031902443,0.000019862548,0.00031707252,0.000001028873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015682162,0.000009283381,0.00016894886,0.00008712033,0.000057930232,0.00001504727,0.00198305,0.55882686,0.43803817,0.00024934774,0.000033337008,0.00051524345],"study_design_scores_gemma":[0.0004894803,0.00031144312,0.0027022113,0.0003494298,0.00006582519,0.00006502568,0.0015977698,0.34509027,0.6474861,0.00011037966,0.0014338245,0.00029827745],"about_ca_topic_score_codex":0.0000028969162,"about_ca_topic_score_gemma":0.0000024666904,"teacher_disagreement_score":0.21373658,"about_ca_system_score_codex":0.00007437388,"about_ca_system_score_gemma":0.000023293665,"threshold_uncertainty_score":0.24475482},"labels":[],"label_agreement":null},{"id":"W2080092540","doi":"10.1016/s0920-4105(00)00040-1","title":"Alteration of asphaltic crude rheology with electromagnetic and ultrasonic irradiation","year":2000,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Waterloo","funders":"Abu Dhabi National Oil Company","keywords":"Asphaltene; Petroleum engineering; Rheology; Materials science; Carbonate; Ultrasonic sensor; Viscosity; Irradiation; Electromagnetic radiation; Crude oil; Thermal; Saturation (graph theory); Environmental science; Composite material; Geology; Metallurgy; Acoustics; Thermodynamics; Optics","score_opus":0.0027347010533705246,"score_gpt":0.18719433763780638,"score_spread":0.18445963658443584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080092540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796224,0.00095751416,0.0004634628,0.000082631945,0.00001192648,0.0000018923375,3.6021484e-7,0.0000062771205,0.00051367405],"genre_scores_gemma":[0.99845654,0.00032359562,0.0009165547,0.000010017938,0.000050202136,5.223846e-7,2.5600897e-7,0.0000044172307,0.00023789423],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992799,0.000003738627,0.00020583918,0.00010094219,0.00025019067,0.00015939919],"domain_scores_gemma":[0.9996297,0.000030039526,0.000114999086,0.00005670322,0.000087493114,0.0000810646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029066176,0.00007296769,0.0001591433,0.00016552693,0.00006336219,0.000048066337,0.000089920686,0.000026804328,0.000048758833],"category_scores_gemma":[0.000054342832,0.000057410256,0.000019127854,0.00021379195,0.00009962347,0.00030635108,0.000004532174,0.00012148178,2.7691783e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020773621,0.000014113895,0.001962534,0.000057920755,0.000015978501,0.000004510762,0.000121723184,0.009678536,0.9739797,0.000035392077,0.0000016339677,0.014107196],"study_design_scores_gemma":[0.002928706,0.00159227,0.08149827,0.0007407742,0.00042648244,0.0024781786,0.00036806145,0.711194,0.197049,0.00006466643,0.001062839,0.0005967762],"about_ca_topic_score_codex":0.000005471131,"about_ca_topic_score_gemma":0.0000012191598,"teacher_disagreement_score":0.7769307,"about_ca_system_score_codex":0.00003413567,"about_ca_system_score_gemma":0.0000888953,"threshold_uncertainty_score":0.23411223},"labels":[],"label_agreement":null},{"id":"W2082065561","doi":"10.1016/j.petrol.2007.03.008","title":"The effect of oxygen partial pressure on oxidation of an oil base liquid","year":2007,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Oxygen; Base oil; Drilling fluid; Chemistry; Base (topology); Viscosity; Rheology; Partial pressure; Chemical engineering; Phase (matter); Drilling; Aeration; Petroleum engineering; Materials science; Metallurgy; Organic chemistry; Composite material; Geology","score_opus":0.0033093048712979113,"score_gpt":0.1997000919803647,"score_spread":0.1963907871090668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082065561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877275,0.0005618032,0.009902517,0.00001144071,0.0005096841,0.000016751459,9.363082e-7,0.000024507237,0.00019961773],"genre_scores_gemma":[0.99936587,0.00010169537,0.00035179252,0.0000015407173,0.00015700735,6.235326e-7,1.6796419e-7,0.000013228975,0.000008086205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888754,0.0000085247575,0.00035304224,0.000077617806,0.00043358476,0.0002396938],"domain_scores_gemma":[0.99939406,0.00016671725,0.00009055968,0.00013766566,0.000085578635,0.00012541567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002556241,0.0001124236,0.0001927164,0.00024298279,0.00005658436,0.000028506514,0.00022129015,0.00003933312,0.0000011217704],"category_scores_gemma":[0.00020049103,0.00007838222,0.000049135797,0.0002606104,0.000063269035,0.00029566878,0.000014943879,0.00017766072,2.9987893e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046055553,0.0000037064183,0.00003491238,0.00007647303,0.000014279544,0.0000025194595,0.00006105394,0.61849123,0.37727186,0.000045772376,0.0000039878196,0.0039481246],"study_design_scores_gemma":[0.0002750485,0.000740034,0.0010018765,0.00013414085,0.000026319593,0.00002260025,0.000026922946,0.40456092,0.59207845,9.47028e-7,0.0010501458,0.000082621635],"about_ca_topic_score_codex":0.000002363077,"about_ca_topic_score_gemma":6.60801e-7,"teacher_disagreement_score":0.21480656,"about_ca_system_score_codex":0.000029180163,"about_ca_system_score_gemma":0.000019345716,"threshold_uncertainty_score":0.3196334},"labels":[],"label_agreement":null},{"id":"W2083286232","doi":"10.1016/j.petrol.2005.11.002","title":"A probabilistic approach to integrating dynamic data in reservoir models","year":2005,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Probabilistic logic; Computer science; Dynamic data; Reservoir simulation; Data mining; Reservoir modeling; Reservoir engineering; Data set; Mathematical optimization; Petroleum engineering; Geology; Mathematics; Artificial intelligence","score_opus":0.03225435139687461,"score_gpt":0.2858222861741822,"score_spread":0.2535679347773076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083286232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6625633,0.00042758574,0.33608225,0.00008510844,0.00014204431,0.000051958374,0.0000020324549,0.00004602238,0.00059967034],"genre_scores_gemma":[0.81320995,0.00004129357,0.18662953,0.000008043591,0.0000787229,0.0000027618648,6.5493157e-7,0.000016949285,0.000012120668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985576,0.00001204919,0.00044330637,0.00019259237,0.00046086885,0.00033354136],"domain_scores_gemma":[0.9992324,0.00008194503,0.000038181297,0.00033077408,0.0001104075,0.00020626668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025123719,0.00014526154,0.00024350424,0.00073172594,0.00003880581,0.0001153636,0.0006942644,0.000042941123,9.49658e-7],"category_scores_gemma":[0.0006503505,0.00012819051,0.000023397364,0.0008030831,0.000031413554,0.0012785344,0.000120466066,0.00035909415,8.4258016e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034843652,0.00001099854,0.000027906097,0.000056304038,0.0000046445352,0.0000024917736,0.000271402,0.9914568,0.005845164,0.00021984553,0.000022340777,0.0020786137],"study_design_scores_gemma":[0.00022583014,0.000025202866,0.000650382,0.000101703015,0.00000458983,0.000050306207,0.00009102038,0.9978171,0.000081839426,0.000052742846,0.00076184433,0.00013741129],"about_ca_topic_score_codex":0.0000038736744,"about_ca_topic_score_gemma":0.0000058519327,"teacher_disagreement_score":0.1506466,"about_ca_system_score_codex":0.0002670997,"about_ca_system_score_gemma":0.00006147776,"threshold_uncertainty_score":0.5227457},"labels":[],"label_agreement":null},{"id":"W2083416500","doi":"10.1016/j.petrol.2013.05.001","title":"WITHDRAWN: Effect of Drainage Height on Concentration-Dependent Propane Dispersion in Vapex","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Propane; Dispersion (optics); Petroleum engineering; Drainage; Geology; Environmental science; Mechanics; Materials science; Thermodynamics; Physics; Optics; Biology","score_opus":0.002484936549845237,"score_gpt":0.18042037094250743,"score_spread":0.17793543439266218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083416500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972147,0.0002472739,0.001100542,0.00005266962,0.00040889625,0.00008622878,5.0714954e-7,0.000015186866,0.00087404356],"genre_scores_gemma":[0.999642,0.00009061766,0.00017561753,0.000006533193,0.00006448059,0.0000039203774,1.4557064e-7,0.00000932807,0.000007351373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989786,0.000009472715,0.00027537078,0.000083814375,0.00042033897,0.00023240158],"domain_scores_gemma":[0.9996468,0.00006443288,0.000028161581,0.000074300144,0.000056535628,0.00012977557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373978,0.00011009758,0.00021521526,0.00022044974,0.000025334526,0.00003890896,0.000143391,0.000035222045,0.000010619298],"category_scores_gemma":[0.00005940165,0.00008088845,0.000030250787,0.00022073255,0.000060947845,0.000456712,0.000009177383,0.00020547736,0.0000024597136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029760655,0.000030483947,0.0035283475,0.00026937213,0.000017974735,0.000040709023,0.000716724,0.12113663,0.86591655,0.000303809,0.000059588278,0.007950071],"study_design_scores_gemma":[0.0030969754,0.0023645952,0.05420026,0.0010808322,0.000045263983,0.00017890931,0.0002647718,0.5127508,0.42506835,0.0000643439,0.0003739373,0.0005109682],"about_ca_topic_score_codex":0.0000072820667,"about_ca_topic_score_gemma":0.0000014002266,"teacher_disagreement_score":0.4408482,"about_ca_system_score_codex":0.00009089448,"about_ca_system_score_gemma":0.00003462829,"threshold_uncertainty_score":0.32985353},"labels":[],"label_agreement":null},{"id":"W2084217956","doi":"10.1016/j.petrol.2010.05.006","title":"Inferring interwell connectivity using multiwell productivity index (MPI)","year":2010,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Injector; Reservoir engineering; Computer science; Matrix (chemical analysis); Decoupling (probability); Petroleum engineering; Petroleum; Geology; Chemistry; Engineering","score_opus":0.013734147550537711,"score_gpt":0.26299622137983825,"score_spread":0.24926207382930055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084217956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85773486,0.000080283615,0.14040819,0.000016682267,0.0014982898,0.00003465966,6.7482233e-7,0.00007700885,0.00014935265],"genre_scores_gemma":[0.9815149,0.000014853737,0.018151663,0.0000035058642,0.00028136774,9.0928677e-7,7.009065e-8,0.000024233243,0.000008523444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986918,0.0000112542175,0.00034341446,0.0001663392,0.0004392602,0.00034792302],"domain_scores_gemma":[0.9991609,0.000107513755,0.000077518656,0.00020217596,0.00021946616,0.00023244187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002055157,0.00018148615,0.00027191764,0.00059477804,0.0000946298,0.00012970458,0.00027579945,0.00007552898,0.000008172044],"category_scores_gemma":[0.0007642267,0.00016860341,0.00005970716,0.0004928751,0.00010218722,0.0010601837,0.00006141813,0.0007504427,7.2259564e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029974722,0.0000065174972,0.002803618,0.000030428226,0.000008620473,0.000004669168,0.00008489868,0.6269306,0.3692366,0.000027279471,0.0000028830523,0.0008608938],"study_design_scores_gemma":[0.00030718613,0.0000285348,0.015010248,0.000045759287,0.000009946911,0.00017009846,0.000031373966,0.951351,0.03188615,0.000021029684,0.0009532764,0.00018543177],"about_ca_topic_score_codex":0.0000097964285,"about_ca_topic_score_gemma":0.000004246571,"teacher_disagreement_score":0.33735046,"about_ca_system_score_codex":0.00009980516,"about_ca_system_score_gemma":0.000072117735,"threshold_uncertainty_score":0.68754476},"labels":[],"label_agreement":null},{"id":"W2091291683","doi":"10.1016/j.petrol.2006.08.011","title":"Analysis of counter-current gas–water capillary imbibition transfer at different temperatures","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Imbibition; Surface tension; Capillary action; Wetting; Saturation (graph theory); Composite material; Capillary number; Chemistry; Matrix (chemical analysis); Capillary pressure; Materials science; Porous medium; Thermodynamics; Porosity","score_opus":0.0033099618917437046,"score_gpt":0.1915321199082152,"score_spread":0.1882221580164715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091291683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885636,0.0011793489,0.009824435,0.000013261784,0.0002660513,0.000022220675,0.0000059910103,0.000040475625,0.000084598076],"genre_scores_gemma":[0.9991951,0.00053265993,0.00017781927,0.0000037273346,0.00006739766,0.0000018369557,0.0000024256774,0.000011617407,0.0000074243253],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988273,0.0000054155807,0.00037480818,0.00010605456,0.00044814698,0.00023827737],"domain_scores_gemma":[0.9996476,0.000022315031,0.000032514778,0.00009876253,0.00012687079,0.00007192392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030673222,0.0001389978,0.00030724105,0.0008844757,0.00004379787,0.000048207658,0.0001442117,0.000035185494,0.00001582166],"category_scores_gemma":[0.000009771854,0.000099798206,0.000121502344,0.0004059002,0.00006059404,0.0003505448,0.000019830675,0.00016846524,3.2265032e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006106365,0.000013924405,0.0014240677,0.00006114442,0.00005338257,0.000004625621,0.000064962805,0.13941456,0.85854846,0.000032460794,0.00006535375,0.00031092332],"study_design_scores_gemma":[0.00020702987,0.0000919179,0.02848357,0.00013892878,0.00020481859,0.000040351606,0.000015035579,0.08786732,0.88210815,0.000028426417,0.0006225166,0.00019192035],"about_ca_topic_score_codex":0.000004915332,"about_ca_topic_score_gemma":0.000015333102,"teacher_disagreement_score":0.05154724,"about_ca_system_score_codex":0.00020449684,"about_ca_system_score_gemma":0.000009918454,"threshold_uncertainty_score":0.40696526},"labels":[],"label_agreement":null},{"id":"W2091854962","doi":"10.1016/j.petrol.2007.03.011","title":"Gas well production analysis with non-Darcy flow and real-gas PVT behavior","year":2007,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Darcy's law; Permeability (electromagnetism); Mechanics; Dimensionless quantity; Darcy–Weisbach equation; Compressibility; Volumetric flow rate; Flow (mathematics); Thermodynamics; Pressure drop; Petroleum engineering; Porous medium; Geology; Geotechnical engineering; Chemistry; Porosity; Physics","score_opus":0.003534802442193961,"score_gpt":0.201427569953509,"score_spread":0.19789276751131504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091854962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671592,0.00022299825,0.03198767,0.000075777745,0.00018148194,0.000026883725,5.3162677e-7,0.000033403987,0.000312011],"genre_scores_gemma":[0.99572855,0.00047993773,0.0035192687,0.0000042366173,0.00020142978,0.0000012390562,4.5754902e-7,0.000014175539,0.000050693536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986639,0.000004018762,0.00030295594,0.00017459181,0.0005153779,0.00033916484],"domain_scores_gemma":[0.9993482,0.000024026693,0.00007291233,0.00015413458,0.00014351176,0.00025721142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012879336,0.00015186051,0.00028833724,0.0010892602,0.00011829869,0.00013288333,0.00014950217,0.000045310953,0.000005402033],"category_scores_gemma":[0.000035213186,0.00011314754,0.00006973152,0.001214473,0.00009925306,0.0006475726,0.000022577617,0.00025806949,8.3616067e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009836256,0.000017249296,0.007851394,0.000039634575,0.0001541059,0.00006224581,0.00022547241,0.9601059,0.028824033,0.0000017908144,0.000024360701,0.0026839683],"study_design_scores_gemma":[0.00045984803,0.00021279634,0.23113711,0.000117203606,0.0011419677,0.00046995838,0.0005235836,0.7455857,0.018916212,0.0000032458577,0.0010251725,0.00040721768],"about_ca_topic_score_codex":0.00003770923,"about_ca_topic_score_gemma":0.000044298376,"teacher_disagreement_score":0.22328572,"about_ca_system_score_codex":0.00009936432,"about_ca_system_score_gemma":0.000031754884,"threshold_uncertainty_score":0.46140227},"labels":[],"label_agreement":null},{"id":"W2093086771","doi":"10.1016/j.petrol.2006.06.003","title":"An inverse solution methodology for estimating the diffusion coefficient of gases in Athabasca bitumen from pressure-decay data","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diffusion; Thermodynamics; Isothermal process; Inverse; Chemistry; Diffusion equation; Mechanics; Mathematics; Physics","score_opus":0.029674248690761778,"score_gpt":0.2730347142403527,"score_spread":0.24336046554959093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093086771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66941816,0.00024565018,0.3299735,0.000017288176,0.00027166022,0.00003392373,0.000017781438,0.0000105269355,0.000011524784],"genre_scores_gemma":[0.95836616,0.0000139751455,0.041466806,0.000003024839,0.00013382279,0.0000013666269,0.0000045632087,0.0000092981045,0.0000010032044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991785,0.000019890205,0.00030442773,0.00011483834,0.00019011262,0.00019218943],"domain_scores_gemma":[0.9993955,0.00020770784,0.00009451104,0.00020032209,0.000053401138,0.00004859416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014834575,0.000086357206,0.0001821489,0.00019619006,0.00004983095,0.000035069846,0.00041238536,0.000031455438,0.000001258132],"category_scores_gemma":[0.00013893782,0.00006455417,0.000023592862,0.00019526859,0.00007394744,0.000519915,0.000064034604,0.000112918126,6.561997e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074253426,0.000014583495,0.00026730553,0.000018267296,0.0000053790836,0.0000012307529,0.00009615113,0.58904594,0.40982494,0.00008094284,0.000010454558,0.0006273457],"study_design_scores_gemma":[0.0003342824,0.00005849625,0.0035447713,0.00006587358,0.00002624326,0.000014555586,0.00005937975,0.9893585,0.0062696314,0.000116233896,0.00008555218,0.00006648278],"about_ca_topic_score_codex":0.0001222131,"about_ca_topic_score_gemma":0.00005222757,"teacher_disagreement_score":0.4035553,"about_ca_system_score_codex":0.00003912402,"about_ca_system_score_gemma":0.000046082998,"threshold_uncertainty_score":0.26324427},"labels":[],"label_agreement":null},{"id":"W2093460780","doi":"10.1016/j.petrol.2011.07.011","title":"A mechanistic analysis of viscous fingering in low-tension polymer flooding in heavy-oil reservoirs","year":2011,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Calgary","funders":"","keywords":"Viscous fingering; Instability; Porous medium; Coalescence (physics); Mechanics; Surface tension; Viscous liquid; Enhanced oil recovery; Displacement (psychology); Permeability (electromagnetism); Materials science; Transverse plane; Geology; Porosity; Geotechnical engineering; Petroleum engineering; Chemistry; Physics; Engineering; Structural engineering","score_opus":0.010613544146326447,"score_gpt":0.2137968952611551,"score_spread":0.20318335111482866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093460780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939294,0.0005897232,0.009505343,0.000005811614,0.00015933141,0.000014120045,9.418438e-7,0.000030730083,0.00030108614],"genre_scores_gemma":[0.99531615,0.00032851944,0.0043120114,0.000004437749,0.000017163538,0.000002100438,1.015176e-7,0.00001498987,0.0000045057163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986405,0.00000840977,0.00053024443,0.00013742945,0.0003641748,0.00031923634],"domain_scores_gemma":[0.99954325,0.000051984323,0.00009679372,0.00013440913,0.00008214227,0.00009142397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011234514,0.00013379226,0.00040139418,0.0025671232,0.000022128246,0.000025411135,0.00024765724,0.000053739775,0.0000062921063],"category_scores_gemma":[0.00017892705,0.00013066249,0.00007030278,0.0019317974,0.000044810764,0.00056018843,0.000050999675,0.00027245586,2.37601e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021863325,0.000024341007,0.0020861013,0.00012631921,0.000043752487,0.00006470262,0.00074623566,0.34635517,0.6490295,0.000091712915,0.0000014527168,0.0014088269],"study_design_scores_gemma":[0.00022900128,0.00009610785,0.0207372,0.00076351635,0.00006135636,0.000028326447,0.00019368337,0.7349877,0.2426687,0.000038403457,0.000003721849,0.00019230801],"about_ca_topic_score_codex":0.000062111954,"about_ca_topic_score_gemma":0.000058471138,"teacher_disagreement_score":0.4063608,"about_ca_system_score_codex":0.00018180916,"about_ca_system_score_gemma":0.00004004427,"threshold_uncertainty_score":0.5328262},"labels":[],"label_agreement":null},{"id":"W2096652124","doi":"10.1016/j.petrol.2006.11.013","title":"Iterative techniques in modeling of multi-phase flow in advanced wells and the near well region","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs","keywords":"Petroleum engineering; Flow (mathematics); Geology; Phase (matter); Computer science; Mechanics; Physics","score_opus":0.010924352799051809,"score_gpt":0.26594236016866146,"score_spread":0.25501800736960967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096652124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76355594,0.00088053866,0.23533115,0.00004003208,0.00006586276,0.00004445662,2.964877e-7,0.000014976146,0.0000667574],"genre_scores_gemma":[0.9331685,0.00022455351,0.066559315,0.000002949447,0.000028003695,0.000002289849,1.0130659e-7,0.000009181064,0.0000051212396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991716,0.000017530958,0.00036269135,0.00008595718,0.00019198195,0.00017021432],"domain_scores_gemma":[0.9996706,0.00008742511,0.00004954072,0.00007992276,0.00007074635,0.000041721993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012451253,0.000102299186,0.00023581772,0.0003998698,0.000028795732,0.00005016271,0.00012048911,0.000036675647,4.4555603e-7],"category_scores_gemma":[0.00011072044,0.00007666042,0.000028124394,0.00040092427,0.000079153564,0.00042178872,0.000019088873,0.00023175759,5.596301e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021798238,0.000009267785,0.00025618824,0.000034703655,0.0000020359678,0.000007374488,0.00025990617,0.9860954,0.01218527,0.00006540321,0.0000015012047,0.0010611136],"study_design_scores_gemma":[0.0016096793,0.00003289659,0.0006606508,0.00016007035,0.0000030057754,0.000022178396,0.00006728886,0.9942351,0.0030027393,0.00004210162,0.000086930086,0.00007734101],"about_ca_topic_score_codex":0.000014863592,"about_ca_topic_score_gemma":0.0000032667697,"teacher_disagreement_score":0.16961254,"about_ca_system_score_codex":0.000055658726,"about_ca_system_score_gemma":0.000020110314,"threshold_uncertainty_score":0.31261212},"labels":[],"label_agreement":null},{"id":"W2113690154","doi":"10.1016/j.petrol.2006.03.005","title":"Pressures acting in counter-current spontaneous imbibition","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"U.S. Department of Energy","keywords":"Imbibition; Capillary action; Capillary pressure; Saturation (graph theory); Wetting; Mechanics; Front (military); Chemistry; Geology; Materials science; Geotechnical engineering; Porous medium; Composite material; Porosity; Physics","score_opus":0.003564917019734636,"score_gpt":0.20378031182015877,"score_spread":0.20021539480042413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113690154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856053,0.0011511085,0.01187487,0.000012231645,0.00043158993,0.000024740562,9.402284e-7,0.000067269844,0.0008319414],"genre_scores_gemma":[0.9980037,0.00019734456,0.0016467654,0.0000027016097,0.00013132473,0.0000016306983,1.5080363e-7,0.000010953737,0.0000053991366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990963,0.0000036423544,0.0002740314,0.00008185992,0.0003158202,0.00022838358],"domain_scores_gemma":[0.99972576,0.00003950732,0.00005461389,0.00006044946,0.00006964734,0.000050008646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005537587,0.00009574892,0.00014300262,0.00045603668,0.00002867136,0.0000766916,0.00013689625,0.000028126307,0.000002439806],"category_scores_gemma":[0.00006217467,0.00009180942,0.000022547418,0.00026604562,0.000032066753,0.00061160815,0.000017458968,0.0002383253,4.8723075e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007120161,0.000016640835,0.0004929837,0.000097994074,0.000003495902,0.00013323141,0.000075362426,0.417067,0.56511486,0.00011050505,0.00012496489,0.016755892],"study_design_scores_gemma":[0.0009833636,0.00035878996,0.051500164,0.0017848542,0.00003422945,0.0030665651,0.00015279699,0.5529135,0.366214,0.00064939435,0.021471154,0.0008711753],"about_ca_topic_score_codex":0.000008968332,"about_ca_topic_score_gemma":0.000013517692,"teacher_disagreement_score":0.19890082,"about_ca_system_score_codex":0.0001929808,"about_ca_system_score_gemma":0.000028613416,"threshold_uncertainty_score":0.37438798},"labels":[],"label_agreement":null},{"id":"W2132307331","doi":"10.1016/j.petrol.2009.11.013","title":"Experimental and visual analysis of co- and counter-current spontaneous imbibition for different viscosity ratios, interfacial tensions, and wettabilities","year":2009,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imbibition; Wetting; Capillary action; Surface tension; Capillary pressure; Viscosity; Porous medium; Materials science; Mechanics; Enhanced oil recovery; Phase (matter); Chemistry; Petroleum engineering; Geotechnical engineering; Composite material; Thermodynamics; Geology; Porosity; Physics","score_opus":0.007348949438414022,"score_gpt":0.2666866311007013,"score_spread":0.25933768166228727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132307331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97730833,0.0016481596,0.020847602,0.000017338612,0.00009422435,0.000047692534,0.00000885953,0.000019968578,0.000007843025],"genre_scores_gemma":[0.9988674,0.00042479325,0.00066222897,0.00000667226,0.000030353724,0.0000018450347,8.1215677e-7,0.0000049110463,0.000001004743],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928975,0.000005120181,0.000260982,0.00011240148,0.00019255976,0.00013919214],"domain_scores_gemma":[0.99967945,0.00005868399,0.000061825325,0.000040264084,0.00007135975,0.000088399705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028213032,0.00011466827,0.00028212613,0.00044259048,0.000057316873,0.000070455746,0.000046265428,0.000027958537,0.0000012710094],"category_scores_gemma":[0.000048614173,0.00009872054,0.00003678867,0.0001310087,0.00009443781,0.00035298892,0.000018417995,0.00009709916,9.339152e-9],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049285023,0.00003564158,0.0010846162,0.00007913944,0.0000524334,0.000005100383,0.00049028976,0.0026427202,0.9874355,0.00007308527,0.000016102202,0.0080360705],"study_design_scores_gemma":[0.00068646704,0.0015297219,0.097891636,0.0003171481,0.00024758803,0.0003465969,0.00071030913,0.53526115,0.36246452,0.00007123234,0.00013048822,0.00034314455],"about_ca_topic_score_codex":0.0000017272728,"about_ca_topic_score_gemma":0.0000024144183,"teacher_disagreement_score":0.624971,"about_ca_system_score_codex":0.00007832276,"about_ca_system_score_gemma":0.0000115554985,"threshold_uncertainty_score":0.4025707},"labels":[],"label_agreement":null},{"id":"W2191647104","doi":"10.1016/j.petrol.2015.11.041","title":"Experimental analysis of drag reduction in the pipelines with response surface methodology","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Drag; Reduction (mathematics); Reynolds number; Drag coefficient; Surface roughness; Pipeline transport; Parasitic drag; Mechanics; Mathematics; Computer science; Marine engineering; Engineering; Physics; Mechanical engineering; Thermodynamics; Geometry; Turbulence","score_opus":0.03444615209801328,"score_gpt":0.28999988822853523,"score_spread":0.25555373613052196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191647104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640488,0.00068426004,0.03490845,0.00020400349,0.000103955055,0.000013263343,4.2493963e-7,0.0000041343637,0.000032724325],"genre_scores_gemma":[0.99079263,0.000017462142,0.009129761,0.00000723638,0.000026052774,6.4342544e-7,1.0173949e-7,0.000003107816,0.00002302462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922085,0.000046990725,0.00023857653,0.00008470848,0.0002694766,0.0001393824],"domain_scores_gemma":[0.99943304,0.00020637848,0.00008683212,0.0000831045,0.00014253214,0.00004813266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034274375,0.00007071756,0.00024242283,0.000394693,0.000029690884,0.000010142783,0.00017070057,0.000029246517,0.0000010274239],"category_scores_gemma":[0.00052020483,0.000043939803,0.00003521065,0.0009104529,0.00017156168,0.00018501919,0.000028042115,0.0001549759,1.007033e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001723191,0.000013685817,0.0012564412,0.0000025975485,0.00004907755,0.000006510981,0.001857472,0.45570266,0.5405828,0.00033720903,0.0000044969247,0.000014757985],"study_design_scores_gemma":[0.00054543366,0.00032898833,0.01606274,0.000026801714,0.0001441917,0.00023702759,0.006898718,0.9411217,0.034495678,0.000009522258,0.000025436217,0.00010375508],"about_ca_topic_score_codex":0.000013797542,"about_ca_topic_score_gemma":0.0000020491784,"teacher_disagreement_score":0.50608706,"about_ca_system_score_codex":0.000057993744,"about_ca_system_score_gemma":0.000053437565,"threshold_uncertainty_score":0.17918131},"labels":[],"label_agreement":null},{"id":"W2237618301","doi":"10.1016/j.petrol.2015.11.016","title":"Capturing the effects of secondary fractures on production data using flow regime equations and specialised plots: An uncertainty analysis approach","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Dimensionless quantity; Flow (mathematics); Laplace transform; Fracture (geology); Mechanics; Tight gas; Geology; Porosity; Reservoir engineering; Matrix (chemical analysis); Parameter space; Fluid dynamics; Hydraulic fracturing; Petroleum engineering; Mathematics; Geotechnical engineering; Geometry; Physics; Mathematical analysis; Chemistry; Petroleum","score_opus":0.02353455961859796,"score_gpt":0.25268951043248605,"score_spread":0.2291549508138881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237618301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95296615,0.0009483696,0.045517243,0.00008893639,0.00032680048,0.000047164634,0.000003875039,0.000023883522,0.000077557066],"genre_scores_gemma":[0.99695444,0.00007666014,0.002599217,0.000009222899,0.00034000506,8.5502154e-7,0.0000033652598,0.000011226397,0.0000049871464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998731,0.000029014665,0.00029162108,0.00019693753,0.0005538291,0.00019758871],"domain_scores_gemma":[0.9990779,0.00010162592,0.000118195974,0.000385832,0.00013781726,0.00017864103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015124073,0.00013594913,0.00029325322,0.0006382186,0.0001270407,0.00011488945,0.00038135718,0.00004329954,0.0000011155364],"category_scores_gemma":[0.0006942607,0.000090611335,0.00005161261,0.00078904943,0.00011458302,0.00075287867,0.00006327889,0.00030550087,9.5532855e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007397999,0.000015551866,0.00008058175,0.00006849977,0.00017791038,0.0000033588683,0.0008241334,0.9908779,0.006910514,0.0000045633687,0.000029688732,0.000999849],"study_design_scores_gemma":[0.00019456621,0.000054928707,0.0023433142,0.000060243598,0.00034726778,0.00002377465,0.00045127026,0.99424034,0.0020330697,0.000011594826,0.00013351065,0.000106105894],"about_ca_topic_score_codex":0.00006321066,"about_ca_topic_score_gemma":0.000013596488,"teacher_disagreement_score":0.04398829,"about_ca_system_score_codex":0.000095636184,"about_ca_system_score_gemma":0.00008772508,"threshold_uncertainty_score":0.3695023},"labels":[],"label_agreement":null},{"id":"W2278667678","doi":"10.1016/j.petrol.2016.01.023","title":"Heavy oil polymer flooding from laboratory core floods to pilot tests and field applications: Half-century studies","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":288,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Environmental science; Enhanced oil recovery; Oil reserves; Flooding (psychology); Oil in place; Fossil fuel; Petroleum; Geology; Engineering; Waste management","score_opus":0.013360077989643894,"score_gpt":0.2543131892056727,"score_spread":0.2409531112160288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278667678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97531474,0.012227189,0.011543343,0.00027094278,0.00039675616,0.000030724164,0.0000066495404,0.00011293722,0.00009674983],"genre_scores_gemma":[0.98804843,0.004469086,0.0071352744,0.00008286373,0.00021524534,0.000014739153,6.4541744e-8,0.000017662616,0.0000166096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990772,0.00000399648,0.0002580702,0.00015095864,0.00026945735,0.00024032754],"domain_scores_gemma":[0.9992958,0.00019736662,0.000049620572,0.00013136042,0.00014653448,0.0001793224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038710024,0.00013902817,0.00021331776,0.00029524352,0.00007169402,0.00005755549,0.00018742852,0.000034757824,0.0000029848213],"category_scores_gemma":[0.00024900548,0.000103801256,0.00002024996,0.000317816,0.000060296563,0.00056381646,0.000062508756,0.0001387284,0.000001942756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008840495,0.000008808922,0.0006380264,0.0000491542,0.000030401625,0.00000568359,0.00013889534,0.00061758386,0.96818376,0.000115522314,0.00019138565,0.030011943],"study_design_scores_gemma":[0.0007942946,0.0007038278,0.005028985,0.0017460055,0.000060851995,0.00007653714,0.00039020818,0.0032255456,0.97417283,0.00021323851,0.012907737,0.0006799504],"about_ca_topic_score_codex":0.000004487776,"about_ca_topic_score_gemma":0.0000046943724,"teacher_disagreement_score":0.029331991,"about_ca_system_score_codex":0.000113983326,"about_ca_system_score_gemma":0.00003739179,"threshold_uncertainty_score":0.4232892},"labels":[],"label_agreement":null},{"id":"W2281278043","doi":"10.1016/j.petrol.2016.01.018","title":"A flowing material balance equation for two-phase flowback analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Petroleum engineering; Oil shale; Shale gas; Natural gas; Fracture (geology); Geology; Imbibition; Material balance; Natural gas field; Shut down; Compressibility; Mechanics; Geotechnical engineering; Engineering; Waste management","score_opus":0.007995816123688246,"score_gpt":0.24133969075160996,"score_spread":0.23334387462792172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281278043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6019221,0.000089798414,0.3974892,0.00009579227,0.00032483062,0.000017918466,0.0000048134016,0.00002617582,0.000029403514],"genre_scores_gemma":[0.99611706,0.000056996803,0.0034518512,0.0000075458042,0.00033391864,0.000003070403,6.1305053e-7,0.000011548617,0.000017416813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989111,0.000005404399,0.00032576706,0.00012295443,0.00035132686,0.00028344596],"domain_scores_gemma":[0.99947363,0.00007178285,0.00004630161,0.00011868643,0.00013741093,0.00015217252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009632215,0.00011578572,0.00027331163,0.00066270307,0.00007995985,0.000101524536,0.00020218098,0.000031716434,0.000015288071],"category_scores_gemma":[0.00018467766,0.00007646536,0.0001385499,0.0005908193,0.00004157988,0.0005668476,0.000018543047,0.000069898364,0.0000013830147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011614109,0.000006981771,0.00010265378,0.000023298518,0.00014035834,0.0000040089444,0.000052613013,0.6856807,0.3114073,0.000010170208,0.00003163708,0.0025286626],"study_design_scores_gemma":[0.0009029451,0.00006769401,0.0005796632,0.00006357187,0.00022194114,0.000015551888,0.000022389468,0.9582809,0.03873236,0.000012795725,0.0009608493,0.00013929662],"about_ca_topic_score_codex":0.0000031881577,"about_ca_topic_score_gemma":0.0000014232626,"teacher_disagreement_score":0.39419496,"about_ca_system_score_codex":0.00011400193,"about_ca_system_score_gemma":0.000033502987,"threshold_uncertainty_score":0.3118167},"labels":[],"label_agreement":null},{"id":"W2344071518","doi":"10.1016/j.petrol.2016.04.027","title":"Testing geological heterogeneity representations for enhanced oil recovery techniques","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Enhanced oil recovery; Permeability (electromagnetism); Petroleum engineering; Curvilinear coordinates; Representation (politics); Pulmonary surfactant; Computer science; Stochastic simulation; Gaussian; Computer simulation; Geology; Biological system; Mathematics; Chemistry; Engineering; Simulation; Statistics; Chemical engineering","score_opus":0.01615116054542245,"score_gpt":0.2550811120309946,"score_spread":0.23892995148557214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344071518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7104789,0.00013687133,0.28810373,0.000064300846,0.00023364926,0.000030273532,0.0000042960555,0.0002003479,0.0007475985],"genre_scores_gemma":[0.90220577,0.00027003605,0.09730249,0.000014383652,0.00014449983,0.000019228168,1.15434844e-7,0.000015889993,0.000027575972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998941,0.0000057501356,0.0003441562,0.00015242751,0.00025641572,0.00030026326],"domain_scores_gemma":[0.99907607,0.00031147315,0.00009025519,0.00013080615,0.0002748985,0.00011651348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000853131,0.00012630527,0.00020026564,0.00030779312,0.00007409906,0.000056898123,0.00024187937,0.000057856716,0.0000025896672],"category_scores_gemma":[0.001301043,0.00008977918,0.00006164412,0.0002801552,0.000094040384,0.00079762336,0.00004011192,0.000114843075,6.419449e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006211987,0.000005061783,0.00017813784,0.00002854464,0.000008452778,0.0000022893676,0.000010888973,0.0040069614,0.919993,0.00004717114,0.000059771886,0.0756535],"study_design_scores_gemma":[0.00018138275,0.00024867945,0.00296692,0.00025037752,0.000011520592,0.00009310082,0.000011580383,0.0055130427,0.98918116,0.00033101524,0.0010312431,0.00017998449],"about_ca_topic_score_codex":0.0000010565491,"about_ca_topic_score_gemma":9.5093344e-7,"teacher_disagreement_score":0.19172686,"about_ca_system_score_codex":0.00015977558,"about_ca_system_score_gemma":0.000047834557,"threshold_uncertainty_score":0.36610886},"labels":[],"label_agreement":null},{"id":"W2390822836","doi":"10.1016/j.petrol.2016.04.041","title":"Numerical investigation of the formation displacement and caprock integrity in the Ordos Basin (China) during CO2 injection operation","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science and Technology; National Natural Science Foundation of China; Northwestern University; Ministry of Science and Technology of the People's Republic of China; National Science Foundation","keywords":"Caprock; Aquifer; Geology; Petroleum engineering; Geothermal gradient; Permeability (electromagnetism); Structural basin; Carbon sequestration; Injection well; Geotechnical engineering; Water injection (oil production); Hydraulic fracturing; Enhanced oil recovery; Groundwater; Environmental science; Geomorphology; Carbon dioxide","score_opus":0.006994598125229649,"score_gpt":0.20978195531631663,"score_spread":0.20278735719108698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390822836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334395,0.0000048966426,0.0041225017,0.0023325451,0.000088706365,0.000041873413,2.5194737e-7,0.0000018754104,0.00006341199],"genre_scores_gemma":[0.9997887,0.000013406045,0.00013362119,0.0000310247,0.000016178416,0.0000019308889,4.8134027e-8,9.387878e-7,0.000014154444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994316,0.000022217464,0.00017024261,0.000056940386,0.00024813,0.00007088057],"domain_scores_gemma":[0.99978876,0.000026225362,0.00009340678,0.000046943256,0.00001934694,0.000025303707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023518,0.000040570158,0.00004893625,0.00005633985,0.00010570315,0.000031995547,0.00008850353,0.00001537059,0.000013244642],"category_scores_gemma":[0.00015320949,0.000019181749,0.000012370046,0.00018636942,0.000098141565,0.00081296964,0.00002701957,0.000109091976,5.8165506e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025439893,0.00002593769,0.15993309,0.00001830041,0.0000025981265,0.0000010991153,0.0028097355,0.059545062,0.7756483,0.00037236654,0.000061424325,0.0015566319],"study_design_scores_gemma":[0.00018454021,0.00008585618,0.9453559,0.000051751023,0.0000035937196,0.00013346369,0.00031413758,0.039505273,0.014181276,0.00007367676,0.00007368229,0.000036830832],"about_ca_topic_score_codex":0.000059691432,"about_ca_topic_score_gemma":0.00004012895,"teacher_disagreement_score":0.7854228,"about_ca_system_score_codex":0.00012535235,"about_ca_system_score_gemma":0.000017277389,"threshold_uncertainty_score":0.08129939},"labels":[],"label_agreement":null},{"id":"W2462289678","doi":"10.1016/j.petrol.2016.06.028","title":"Optimizing the pressure decline rate on the cyclic solvent injection process for enhanced heavy oil recovery","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Volumetric flow rate; Chemistry; Phase (matter); Production rate; Oil production; Materials science; Thermodynamics; Petroleum engineering; Geology","score_opus":0.010208516833104968,"score_gpt":0.2370466664530997,"score_spread":0.22683814961999474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462289678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7791935,0.0005537438,0.21788968,0.0009870616,0.0008230408,0.0000843023,0.000003702626,0.00010441007,0.00036054684],"genre_scores_gemma":[0.99774355,0.0007216906,0.0011081975,0.000075442396,0.00022197369,0.000031415315,6.838975e-8,0.000021620132,0.00007602166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894947,0.000011753669,0.0002933622,0.00013023343,0.0003235764,0.00029160237],"domain_scores_gemma":[0.99912584,0.00036819105,0.000112804184,0.00015552166,0.0001690833,0.00006856308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016814825,0.00014343305,0.00016519317,0.00017579918,0.00016011576,0.000101811645,0.0003583111,0.000044322158,0.0000033216832],"category_scores_gemma":[0.0005319325,0.0000699932,0.00007145922,0.00025430758,0.00007236945,0.0006078761,0.000030732957,0.00020893617,7.923164e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042196203,0.0000072911157,0.000004290726,0.00005165089,0.000024670093,6.3629017e-7,0.0001216181,0.40848207,0.57536745,0.0000855624,0.00010182706,0.015710732],"study_design_scores_gemma":[0.00044044363,0.0005289261,0.00030362434,0.0007898577,0.000039794137,0.000050413004,0.00012054169,0.095236346,0.8978113,0.0005080125,0.0039221677,0.00024858562],"about_ca_topic_score_codex":7.500859e-7,"about_ca_topic_score_gemma":0.0000016828351,"teacher_disagreement_score":0.3224438,"about_ca_system_score_codex":0.00010884903,"about_ca_system_score_gemma":0.000052820382,"threshold_uncertainty_score":0.285424},"labels":[],"label_agreement":null},{"id":"W2522855882","doi":"10.1016/j.petrol.2016.09.036","title":"Numerical assessment of the maximum operating pressure for SAGD projects by considering the intrinsic shale anisotropy","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Caprock; Anisotropy; Oil shale; Isotropy; Transverse isotropy; Geology; Geotechnical engineering; Petroleum engineering","score_opus":0.01067158872779727,"score_gpt":0.22860657188524,"score_spread":0.21793498315744272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522855882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6387177,0.00065725326,0.35947835,0.00034565522,0.0005917894,0.00012410997,0.0000050578496,0.000019377818,0.000060666865],"genre_scores_gemma":[0.9945905,0.00007887145,0.005185878,0.000018562312,0.00009422375,0.0000064874016,3.847832e-8,0.000014594136,0.000010805579],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989847,0.000007737835,0.00030302803,0.00010292799,0.0003503421,0.00025129254],"domain_scores_gemma":[0.9994697,0.00009269902,0.00009296108,0.00013328574,0.00014352317,0.00006781215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075410435,0.000108859196,0.00017662674,0.00007591477,0.00015308835,0.00006632521,0.0003066307,0.00002974018,0.0000018628998],"category_scores_gemma":[0.00016410516,0.000053591917,0.000058790218,0.00016597344,0.00004012564,0.00029156823,0.0000625534,0.00015114089,6.794715e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022416486,0.000006808696,0.00021877541,0.000062298735,0.000027331218,7.0946146e-7,0.00013468617,0.2268176,0.7694542,0.00055645366,0.00012142266,0.0025975208],"study_design_scores_gemma":[0.00041982144,0.0001011742,0.00044034616,0.00022806526,0.000030371197,0.00006475179,0.00014543516,0.93071514,0.0658266,0.000066825465,0.0018403223,0.00012114646],"about_ca_topic_score_codex":0.0000021054027,"about_ca_topic_score_gemma":3.2586132e-7,"teacher_disagreement_score":0.70389754,"about_ca_system_score_codex":0.000060276445,"about_ca_system_score_gemma":0.000104966304,"threshold_uncertainty_score":0.21854149},"labels":[],"label_agreement":null},{"id":"W2529420694","doi":"10.1016/j.petrol.2016.10.001","title":"Experimental investigation of combined electromagnetic heating and solvent-assisted gravity drainage for heavy oil recovery","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRTech; University of Alberta","funders":"","keywords":"Steam-assisted gravity drainage; Solvent; Oil sands; Petroleum engineering; Electric heating; Materials science; Environmental science; Chemistry; Asphalt; Composite material; Geology; Organic chemistry","score_opus":0.010932626953593157,"score_gpt":0.21755767340403834,"score_spread":0.2066250464504452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529420694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976091,0.0003747335,0.0015819508,0.00024022422,0.00011810664,0.000021356469,0.000002627691,0.000004726214,0.000047203204],"genre_scores_gemma":[0.9915493,0.000021747739,0.008329366,0.000021892836,0.000051565195,4.9204846e-7,2.978273e-7,0.0000015856599,0.000023730283],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920905,0.00001939446,0.0002208964,0.00011116009,0.00023261293,0.00020689676],"domain_scores_gemma":[0.9993663,0.00025056044,0.00011320601,0.000042258085,0.000078969955,0.00014874007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007736397,0.00007417644,0.00017174882,0.00013392731,0.0000894738,0.000036748082,0.00009220147,0.000022406426,0.000006193368],"category_scores_gemma":[0.0002816371,0.000047282872,0.000036947145,0.00023566023,0.00012455409,0.00035176377,0.000008661184,0.000062627856,2.3505359e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007396293,0.000010866307,0.0021382878,0.00003302723,0.0000059016015,0.0000013156033,0.000054782708,0.0002124875,0.9046699,0.0001002236,0.0000051307184,0.09269412],"study_design_scores_gemma":[0.0013793687,0.0056708874,0.73646855,0.0002072047,0.000028842678,0.00008445815,0.00009442413,0.03807666,0.21460003,0.0030833385,0.00007322062,0.00023302707],"about_ca_topic_score_codex":0.000030657433,"about_ca_topic_score_gemma":0.0000028214386,"teacher_disagreement_score":0.73433024,"about_ca_system_score_codex":0.000010121181,"about_ca_system_score_gemma":0.000053533862,"threshold_uncertainty_score":0.19281395},"labels":[],"label_agreement":null},{"id":"W2535619623","doi":"10.1016/j.petrol.2016.10.040","title":"Experimental study on pressure control strategies for improving waterflooding potentials in a heavy oil-methane system","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Petroleum engineering; Methane; Environmental science; Geology; Chemistry","score_opus":0.007672942615927356,"score_gpt":0.23254209932159742,"score_spread":0.22486915670567006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535619623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9430132,0.00041830682,0.05584838,0.000017106033,0.00042521325,0.00009860533,0.0000040106243,0.00009387042,0.00008131626],"genre_scores_gemma":[0.9986227,0.000010815248,0.0011917421,0.0000035403627,0.00010883569,0.000030437306,3.2905454e-8,0.000022281725,0.000009612903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987271,0.000013062614,0.0003958898,0.00016119545,0.00035375383,0.00034898942],"domain_scores_gemma":[0.9995312,0.00009655901,0.000082853156,0.00011074181,0.000082462684,0.00009616509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012877645,0.00016366121,0.00030878736,0.0004784265,0.000044790715,0.00012069254,0.00022567007,0.000042550106,9.4731314e-7],"category_scores_gemma":[0.00008219267,0.00011366905,0.00004932106,0.00015043603,0.00003283389,0.00095296477,0.000022454638,0.00012873959,3.5414527e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000449389,0.00003490192,0.0001141208,0.00011846184,0.000020597497,0.000013622472,0.0002400905,0.04455328,0.9529842,0.000109767396,0.0000030197668,0.0017629778],"study_design_scores_gemma":[0.0031351028,0.0019267785,0.0014461327,0.001013729,0.00004810111,0.00009781391,0.003728329,0.09725845,0.8908715,0.000016892587,0.00007556235,0.00038160023],"about_ca_topic_score_codex":0.000005105271,"about_ca_topic_score_gemma":0.0000010890275,"teacher_disagreement_score":0.06211271,"about_ca_system_score_codex":0.00022007326,"about_ca_system_score_gemma":0.000051156592,"threshold_uncertainty_score":0.46352893},"labels":[],"label_agreement":null},{"id":"W2560067888","doi":"10.1016/j.petrol.2016.12.010","title":"Dynamic model for longitudinal and torsional motions of a horizontal oilwell drillstring with wellbore stick-slip friction","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Vibration; Drill pipe; Engineering; Rate of penetration; Directional drilling; Mechanics; Torsional vibration; Drilling; Coupling (piping); Geology; Mechanical engineering; Acoustics; Physics","score_opus":0.005561950272910624,"score_gpt":0.1874508732457919,"score_spread":0.18188892297288128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560067888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5316655,0.00020400889,0.46787584,0.000022116483,0.00016102573,0.000022962116,0.0000064051496,0.000023381584,0.000018752373],"genre_scores_gemma":[0.9872875,0.00020005804,0.012407297,0.0000010277862,0.00006531819,0.0000025959703,2.9120787e-7,0.0000204513,0.000015416934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903226,0.0000017785856,0.000268401,0.00013424209,0.00030222096,0.00026111232],"domain_scores_gemma":[0.9994921,0.00006027589,0.00006561424,0.00008089728,0.00014949271,0.00015159904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037605813,0.00014337977,0.0002116992,0.00036420306,0.000075382326,0.00003494392,0.0001136055,0.000040236242,0.0000010880068],"category_scores_gemma":[0.00006232669,0.00010088198,0.00004235752,0.00019930591,0.00007877988,0.00050601555,0.000020949194,0.00011053471,1.6351194e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011272563,0.000008014059,0.0005303666,0.00009183169,0.000024410805,0.0000023539776,0.00008231503,0.8500493,0.14677367,0.00019951418,0.000008617544,0.0022182965],"study_design_scores_gemma":[0.00048440995,0.00017237583,0.0036218432,0.00032052724,0.000034080243,0.000122067184,0.000040545674,0.99206436,0.002915893,0.000028738386,0.000055724577,0.00013941665],"about_ca_topic_score_codex":0.0000014585122,"about_ca_topic_score_gemma":0.000001931888,"teacher_disagreement_score":0.45562202,"about_ca_system_score_codex":0.000115718714,"about_ca_system_score_gemma":0.000050415587,"threshold_uncertainty_score":0.4113848},"labels":[],"label_agreement":null},{"id":"W2562825946","doi":"10.1016/j.petrol.2016.12.032","title":"Performance of multiple thermal fluids assisted gravity drainage process in post SAGD reservoirs","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Steam injection; Enhanced oil recovery; Process (computing); Thermal; Oil field; Thermal fluids; Reservoir simulation; Oil sands; Environmental science; Geology; Materials science; Computer science; Thermodynamics","score_opus":0.006098151482135948,"score_gpt":0.21304299917561326,"score_spread":0.20694484769347732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562825946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785286,0.00012776772,0.0014386461,0.000036190766,0.00014155508,0.00003171257,0.0000024047797,0.00004302307,0.00032584814],"genre_scores_gemma":[0.9981009,0.000119658056,0.001716021,0.0000037109894,0.000033994762,0.0000028550676,7.6676145e-8,0.00001440564,0.000008420377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885994,0.0000068458726,0.00035422973,0.00010404696,0.00039317747,0.00028177717],"domain_scores_gemma":[0.99943805,0.000075712036,0.0000781885,0.00012033893,0.00019771935,0.00008999284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009584004,0.0001191995,0.00021872408,0.00047939186,0.00003101986,0.00002294464,0.00031353874,0.00004792147,0.000003466469],"category_scores_gemma":[0.00031292706,0.00008537596,0.000037158836,0.00044066098,0.000103769824,0.0010397534,0.000034314173,0.00017289066,4.785651e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020802714,0.000011781429,0.010125325,0.00010796331,0.000005988139,0.0000070776596,0.00013722261,0.02840254,0.95542365,0.0000100911275,0.0000035313708,0.005743994],"study_design_scores_gemma":[0.00063776236,0.00031729386,0.4240215,0.0008348987,0.000007917118,0.000070447866,0.0000862759,0.12061886,0.4530863,0.000021115342,0.00006591393,0.00023172263],"about_ca_topic_score_codex":0.0000032131713,"about_ca_topic_score_gemma":0.0000044265544,"teacher_disagreement_score":0.5023374,"about_ca_system_score_codex":0.00014460854,"about_ca_system_score_gemma":0.00006760254,"threshold_uncertainty_score":0.34815308},"labels":[],"label_agreement":null},{"id":"W2574726699","doi":"10.1016/j.petrol.2017.01.029","title":"Characterization of gas-oil flow in Cyclic Solvent Injection (CSI) for heavy oil recovery","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Gas oil ratio; Solvent; Petroleum engineering; Chemistry; Wet gas; Fossil fuel; Light crude oil; Flow (mathematics); Geology; Organic chemistry; Mechanics","score_opus":0.008537980923131315,"score_gpt":0.22620209052285406,"score_spread":0.21766410959972274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574726699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689904,0.00009336468,0.029869609,0.000046031757,0.0007255793,0.000016933494,0.0000040766445,0.000029028226,0.00022497734],"genre_scores_gemma":[0.99366534,0.001107986,0.005043685,0.000005473849,0.00012543242,0.0000068715995,6.3257977e-7,0.00001587236,0.000028729059],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991063,0.000003474079,0.00034887972,0.00009857057,0.00023309972,0.00020971386],"domain_scores_gemma":[0.9994658,0.000027945911,0.00017751829,0.00014760446,0.000116826035,0.00006426627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007902342,0.00010278559,0.0002165067,0.0004338814,0.00007625434,0.00009469143,0.00023389715,0.000052398453,0.0000013792925],"category_scores_gemma":[0.00025089472,0.0001018371,0.00005482246,0.00013104794,0.000046585657,0.0012380312,0.00002707384,0.00014916447,2.214142e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019104695,0.000010465986,0.00026698603,0.00014120135,0.0000068952445,0.0000017269903,0.00006954898,0.075637825,0.8670644,0.000014662273,0.000007313706,0.056759868],"study_design_scores_gemma":[0.0005601222,0.00036097056,0.020167738,0.0008615524,0.000015876309,0.000067832894,0.000030452207,0.46679443,0.50996387,0.0000935962,0.0008372388,0.00024634256],"about_ca_topic_score_codex":0.000006196862,"about_ca_topic_score_gemma":0.000008287555,"teacher_disagreement_score":0.39115658,"about_ca_system_score_codex":0.00017015474,"about_ca_system_score_gemma":0.000045867826,"threshold_uncertainty_score":0.41527966},"labels":[],"label_agreement":null},{"id":"W2594658257","doi":"10.1016/j.petrol.2017.03.015","title":"Variable-order derivative time fractional diffusion model for heterogeneous porous media","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"King Abdulaziz City for Science and Technology; King Fahd University of Petroleum and Minerals","keywords":"Fractional calculus; Porous medium; Diffusion; Anomalous diffusion; Flow (mathematics); Fick's laws of diffusion; Constant (computer programming); Fractional Brownian motion; Brownian motion; Mathematics; Mathematical analysis; Physics; Geometry; Porosity; Computer science; Thermodynamics; Geotechnical engineering; Geology; Innovation diffusion","score_opus":0.03597088871761472,"score_gpt":0.28939007744815554,"score_spread":0.2534191887305408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594658257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29934537,0.000024159826,0.6997706,0.00034052436,0.00032684935,0.000046165933,0.000011214538,0.000010782936,0.00012433149],"genre_scores_gemma":[0.8786718,0.00000991958,0.12096926,0.000015331056,0.00018686238,0.0000052828436,8.6846944e-7,0.000010750357,0.00012990598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989714,0.0000046466403,0.00025309352,0.000111452726,0.0004727266,0.00018666485],"domain_scores_gemma":[0.99859166,0.00028762865,0.00029008233,0.00014717913,0.00057169556,0.00011177819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721873,0.00009366824,0.00016291159,0.00020330276,0.0005853109,0.00015350505,0.00025313432,0.00004167982,0.000018818304],"category_scores_gemma":[0.0032977092,0.0000810336,0.000044343575,0.00007990688,0.00010535967,0.0007701123,0.000060034567,0.00014021258,0.0000016785336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008671523,0.00028993908,0.00016121272,0.000068517526,0.00011925184,0.000008550896,0.000673199,0.636662,0.25855368,0.1011195,0.0007157196,0.0015416716],"study_design_scores_gemma":[0.00033669276,0.000042399522,0.0015001228,0.00004367602,0.000032824657,0.00009179769,0.000016909742,0.98113036,0.0002942841,0.016270725,0.0001487053,0.000091526344],"about_ca_topic_score_codex":0.0000035525075,"about_ca_topic_score_gemma":0.0000019233792,"teacher_disagreement_score":0.57932645,"about_ca_system_score_codex":0.00012381776,"about_ca_system_score_gemma":0.00021752213,"threshold_uncertainty_score":0.45017976},"labels":[],"label_agreement":null},{"id":"W2596160288","doi":"10.1016/j.petrol.2017.03.033","title":"Heavy oil recovery by polymer flooding and hot water injection using numerical simulation","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Enhanced oil recovery; Viscosity; Polymer; Petroleum engineering; Materials science; Polymer degradation; Steam injection; Environmental science; Water injection (oil production); Flooding (psychology); Reservoir simulation; Chemical engineering; Composite material; Geology; Engineering","score_opus":0.009910899674499337,"score_gpt":0.24035575574565868,"score_spread":0.23044485607115933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596160288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409196,0.00046310647,0.057951428,0.000024609524,0.00046501943,0.000010014392,9.251005e-7,0.000046158842,0.00011917106],"genre_scores_gemma":[0.9973001,0.000193191,0.002331158,0.000009142882,0.0001284171,6.5566616e-7,1.3357305e-7,0.000017054683,0.000020148544],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999137,0.0000045549828,0.0002268646,0.00011486385,0.0002659832,0.0002507788],"domain_scores_gemma":[0.99960417,0.000027399585,0.00007360702,0.00011719152,0.00006704973,0.00011060642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051729946,0.00011897027,0.00017228922,0.0002411,0.0002348014,0.00030034175,0.00015084633,0.00005340729,0.0000027547171],"category_scores_gemma":[0.000103681974,0.00009921831,0.000031080624,0.0000710685,0.000062822175,0.0017667713,0.0000477718,0.00020063824,4.41619e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000981683,0.0000035225498,0.0002940352,0.000028260554,0.00000895774,0.0000031837178,0.00007695868,0.36941898,0.6223219,0.0000035511898,0.000013057092,0.0078177955],"study_design_scores_gemma":[0.00015254809,0.00008880702,0.000997951,0.00012126596,0.00001373976,0.00011373241,0.000026151196,0.72461396,0.27349427,0.000015075452,0.00020644079,0.00015604908],"about_ca_topic_score_codex":0.000015123773,"about_ca_topic_score_gemma":5.7713424e-7,"teacher_disagreement_score":0.355195,"about_ca_system_score_codex":0.00013141547,"about_ca_system_score_gemma":0.000017342703,"threshold_uncertainty_score":0.40460053},"labels":[],"label_agreement":null},{"id":"W2596399451","doi":"10.1016/j.petrol.2017.03.031","title":"History matching by integrating regional multi-property image perturbation methods with a multivariate sensitivity analysis","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Universidade Estadual de Campinas; Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; CMG Reservoir Simulation Foundation","keywords":"Petrophysics; Categorical variable; Multivariate statistics; Reservoir modeling; Permeability (electromagnetism); Computer science; Reservoir simulation; Mathematical optimization; Homogeneity (statistics); Matching (statistics); Data mining; Econometrics; Algorithm; Geology; Mathematics; Porosity; Statistics; Petroleum engineering; Machine learning; Geotechnical engineering","score_opus":0.025408295763629858,"score_gpt":0.2976617523554339,"score_spread":0.27225345659180405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596399451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27863604,0.00025837249,0.72065014,0.00005530231,0.00021514129,0.00002415917,0.0000011749776,0.000045281286,0.00011442666],"genre_scores_gemma":[0.5932722,0.00003360651,0.40653342,0.000007020627,0.000057034587,0.0000013500015,5.015769e-7,0.000016448503,0.00007840545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987332,0.000047841935,0.00032934127,0.00018602834,0.0004293423,0.00027423436],"domain_scores_gemma":[0.99890995,0.00016072977,0.00019291462,0.00027111737,0.0002777639,0.00018753024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032379914,0.00019435398,0.00036232025,0.0005014863,0.00023759976,0.00025263597,0.00026782908,0.000054997054,0.0000044409903],"category_scores_gemma":[0.0006431782,0.0001314469,0.00009139237,0.00023686454,0.00012996102,0.0013916572,0.000043204225,0.00039313475,3.411502e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074215095,0.000007096149,0.00022376614,0.00002784767,0.00009088691,0.000010292022,0.00040606954,0.6841473,0.3134153,0.00002141145,0.000030278372,0.0016123244],"study_design_scores_gemma":[0.00038118614,0.00003203395,0.010869292,0.00006865483,0.00009246843,0.00005095584,0.00010319707,0.98504907,0.0022239098,0.0000049528257,0.00093408447,0.00019020578],"about_ca_topic_score_codex":0.000062402105,"about_ca_topic_score_gemma":0.000004841386,"teacher_disagreement_score":0.31463617,"about_ca_system_score_codex":0.00034062308,"about_ca_system_score_gemma":0.00006453112,"threshold_uncertainty_score":0.53602487},"labels":[],"label_agreement":null},{"id":"W2604924441","doi":"10.1016/j.petrol.2017.04.002","title":"Steam injection gravity drainage as a follow-up process for cyclic steam stimulation","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Carbon Management Canada; China National Petroleum Corporation","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Steam injection; Environmental science; Emission intensity; Intensity (physics); Oil production; Thermal; Process (computing); Geology; Chemistry; Materials science; Oil sands; Physics; Meteorology","score_opus":0.011723652181438003,"score_gpt":0.2766156101513375,"score_spread":0.2648919579698995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604924441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95318776,0.00012905408,0.04496756,0.000026080035,0.0008176595,0.000087448665,0.000001699514,0.000094701216,0.0006880092],"genre_scores_gemma":[0.99824494,0.00004637885,0.0014519994,0.000006570461,0.00016437852,0.000010542116,2.7045724e-7,0.000020369233,0.000054520653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897003,0.000002932974,0.0002626762,0.0001320208,0.00036781572,0.00026451307],"domain_scores_gemma":[0.9992762,0.000037014906,0.00016103043,0.000178658,0.00022857699,0.00011847693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087848987,0.0001342345,0.00020452199,0.0003264991,0.00027173123,0.00021614821,0.00033548745,0.000059863592,0.0000013275599],"category_scores_gemma":[0.0005144011,0.00012749952,0.00006286331,0.00013517716,0.000064146014,0.0017473986,0.000028225188,0.00020258143,7.379634e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057852238,0.000023530123,0.00095432554,0.00032495699,0.000036455465,0.000008212877,0.00046512095,0.4329194,0.53710145,0.0003229391,0.000076188706,0.027709568],"study_design_scores_gemma":[0.0020676344,0.001215513,0.044906013,0.0006698186,0.00008393765,0.00028484486,0.00032174145,0.71920985,0.22441131,0.0042059757,0.0019208303,0.00070255355],"about_ca_topic_score_codex":0.0000058348346,"about_ca_topic_score_gemma":0.00000426585,"teacher_disagreement_score":0.3126901,"about_ca_system_score_codex":0.0001782987,"about_ca_system_score_gemma":0.00006311622,"threshold_uncertainty_score":0.5199279},"labels":[],"label_agreement":null},{"id":"W2608252470","doi":"10.1016/j.petrol.2017.04.035","title":"Solubility and thermo-physical properties measurement of CO2- and N2-Athabasca bitumen systems","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Computer Modelling Group","keywords":"Asphalt; Solubility; Oil sands; Steam-assisted gravity drainage; Solvent; Chemistry; Viscosity; Petroleum engineering; Chemical engineering; Mineralogy; Thermodynamics; Organic chemistry; Materials science; Geology; Composite material","score_opus":0.018353594789499668,"score_gpt":0.2092142684081597,"score_spread":0.19086067361866005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608252470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974608,0.0014108985,0.000630189,0.000037738202,0.00025536458,0.000038991733,0.0000017763184,0.000013431779,0.00015080975],"genre_scores_gemma":[0.99966353,0.00017502262,0.0000665311,7.841096e-7,0.00008108516,0.0000012420677,2.5271879e-8,0.000009212174,0.0000025558647],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990927,0.0000059844792,0.00020189479,0.00009605058,0.0004023546,0.0002010315],"domain_scores_gemma":[0.9994776,0.00001363369,0.00009070532,0.00015279454,0.00012279548,0.00014243144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072415546,0.00010741804,0.00024066918,0.000104168386,0.00012966772,0.00016049322,0.00017716686,0.000024338568,2.9123714e-7],"category_scores_gemma":[0.00011469321,0.000080727346,0.000025449399,0.00004309979,0.0002163341,0.0006124191,0.00006572773,0.00011939036,9.885248e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011230449,0.000016837595,0.0021916847,0.00025319128,0.00003816022,0.0000055004907,0.00048869126,0.012217328,0.98337483,0.00020761894,0.000002559485,0.0011923685],"study_design_scores_gemma":[0.00041008194,0.00012868183,0.037823237,0.00028125176,0.000030620915,0.00010417351,0.00013225737,0.94656116,0.014278826,0.00004517336,0.000064558466,0.00013997378],"about_ca_topic_score_codex":0.000016432365,"about_ca_topic_score_gemma":0.0000018317387,"teacher_disagreement_score":0.969096,"about_ca_system_score_codex":0.00007535851,"about_ca_system_score_gemma":0.000046951773,"threshold_uncertainty_score":0.32919657},"labels":[],"label_agreement":null},{"id":"W2614614812","doi":"10.1016/j.petrol.2017.05.017","title":"Pattern recognition insight into drilling optimization of shaly formations","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Oil shale; Drilling; Petroleum engineering; Artificial neural network; Rate of penetration; Drilling fluid; Linear discriminant analysis; Classifier (UML); Artificial intelligence; Confusion; Confusion matrix; Directional drilling; Computer science; Discriminant; Pattern recognition (psychology); Data mining; Engineering; Mechanical engineering","score_opus":0.010481883140180311,"score_gpt":0.20492458709055167,"score_spread":0.19444270395037136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614614812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4086832,0.00024494983,0.5898103,0.000036560214,0.00062687974,0.000021879589,0.0000013413911,0.00003479224,0.0005400841],"genre_scores_gemma":[0.98792946,0.00038435776,0.011540301,0.0000035573592,0.00012443695,0.0000010065949,5.952691e-7,0.000014206625,0.0000020693471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991322,0.0000022868048,0.00033813666,0.00007084944,0.00028512286,0.00017138981],"domain_scores_gemma":[0.99938124,0.000023464054,0.00014631313,0.00014549625,0.00020197511,0.00010147887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053109747,0.00010188083,0.00017377234,0.00038476038,0.00016992596,0.00014971846,0.0002480399,0.000039218437,0.000003613947],"category_scores_gemma":[0.00016940587,0.00009672282,0.000042005806,0.00013000461,0.000058981546,0.0013407539,0.000030515812,0.00015440803,9.629318e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010357118,0.0000037132459,0.00025154435,0.000082794715,0.000011440908,0.0000020536597,0.00039446235,0.976953,0.010863927,0.000012823611,0.000005521881,0.011417643],"study_design_scores_gemma":[0.00018892065,0.000034094704,0.0017004637,0.00023881294,0.000015912767,0.000032472766,0.00004566215,0.9906013,0.006803723,0.000019911866,0.00020857065,0.00011016467],"about_ca_topic_score_codex":0.000007073806,"about_ca_topic_score_gemma":0.0000012156527,"teacher_disagreement_score":0.5792463,"about_ca_system_score_codex":0.00006037581,"about_ca_system_score_gemma":0.00002743474,"threshold_uncertainty_score":0.39442423},"labels":[],"label_agreement":null},{"id":"W2614755440","doi":"10.1016/j.petrol.2017.05.002","title":"Impact of water blocking in fractures on the performance of hydraulically fractured horizontal wells in tight gas reservoir","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Tight gas; Petroleum engineering; Hydraulic fracturing; Unconventional oil; Fracturing fluid; Geology; Fracture (geology); Surface tension; Viscosity; Well stimulation; Geotechnical engineering; Reservoir engineering; Materials science; Composite material; Petroleum","score_opus":0.0059219120338067175,"score_gpt":0.23212684072125322,"score_spread":0.22620492868744652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614755440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903554,0.00018280253,0.000066534856,0.00022972381,0.00012014347,0.000031338634,8.809798e-7,0.000005750262,0.00032730735],"genre_scores_gemma":[0.9996337,0.00019683574,0.000068787085,0.00000680333,0.0000760389,0.0000010024197,1.4497475e-7,0.000011829018,0.0000048522757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99854416,0.000012940602,0.00046666182,0.00011517509,0.0005249556,0.00033612788],"domain_scores_gemma":[0.99928117,0.00008256678,0.0001548614,0.0003090926,0.000080224934,0.000092064634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013137417,0.00015583335,0.00036385638,0.0005813653,0.00009410397,0.00007578954,0.00065540284,0.00006906072,0.000015522817],"category_scores_gemma":[0.00021947616,0.00008277472,0.00011945534,0.00018682124,0.00013740857,0.00046566266,0.00006598314,0.00052710186,6.9569575e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028562928,0.000021518434,0.017174449,0.000041326522,0.000029515173,0.000015974018,0.00046082007,0.8949945,0.08688336,0.0000020642372,0.00001747341,0.00033042885],"study_design_scores_gemma":[0.0003835204,0.00025029533,0.44182932,0.00039669132,0.000012733672,0.000019363055,0.00003956484,0.43560573,0.12118071,0.000008916188,0.00014406777,0.00012909189],"about_ca_topic_score_codex":0.00011779987,"about_ca_topic_score_gemma":0.000021797197,"teacher_disagreement_score":0.4593888,"about_ca_system_score_codex":0.0001206794,"about_ca_system_score_gemma":0.00004980947,"threshold_uncertainty_score":0.3375455},"labels":[],"label_agreement":null},{"id":"W2741232997","doi":"10.1016/j.petrol.2017.07.073","title":"Transient pressure behavior of multi-stage fractured horizontal wells in stress-sensitive tight oil reservoirs","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Laplace transform; Superposition principle; Dimensionless quantity; Mechanics; Perturbation (astronomy); Geology; Boundary value problem; Geotechnical engineering; Mathematics; Mathematical analysis; Physics","score_opus":0.011979041931363238,"score_gpt":0.24626503638065192,"score_spread":0.2342859944492887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741232997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683964,0.00087118335,0.0014610677,0.00007842441,0.0004500689,0.000026531308,0.000016718273,0.00001624149,0.00024010277],"genre_scores_gemma":[0.99868196,0.00031146663,0.0007587344,0.000003325792,0.000099838166,0.0000018687656,4.608125e-7,0.00001633683,0.00012600006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852043,0.000010881045,0.0004170897,0.0001598072,0.00056181476,0.00032998956],"domain_scores_gemma":[0.99913645,0.00003375512,0.00016905458,0.00028343673,0.00018793791,0.00018936182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070938695,0.00016999753,0.00037777968,0.0004910144,0.0001308841,0.00011878001,0.0004870402,0.00008516628,0.000009025888],"category_scores_gemma":[0.000209653,0.00013925451,0.00010655456,0.00016829286,0.0001629592,0.0006853644,0.000050200368,0.00043836952,5.9500945e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013989903,0.000048137423,0.0031784612,0.00013751569,0.000051148498,0.00012519176,0.0008606172,0.90967786,0.0849997,0.0000021625492,0.000019955885,0.00088522374],"study_design_scores_gemma":[0.0013100922,0.00013630881,0.2757908,0.0005310608,0.00013860894,0.000042015043,0.00054731645,0.6142318,0.103726745,7.316609e-7,0.0031882238,0.00035624058],"about_ca_topic_score_codex":0.00013872462,"about_ca_topic_score_gemma":0.000073955285,"teacher_disagreement_score":0.29544607,"about_ca_system_score_codex":0.00006925351,"about_ca_system_score_gemma":0.000054270247,"threshold_uncertainty_score":0.5678634},"labels":[],"label_agreement":null},{"id":"W2746105897","doi":"10.1016/j.petrol.2017.08.035","title":"Evaluation of foam generated with the hydrocarbon solvent for extra-heavy oil recovery from fractured porous media: Pore-scale visualization","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Carbon Management Canada; Alberta Innovates - Technology Futures","keywords":"Micromodel; Enhanced oil recovery; Asphaltene; Petroleum engineering; Porous medium; Chemical engineering; Hydrocarbon; Solvent; Adsorption; Viscosity; Surface tension; Viscous fingering; Light crude oil; Materials science; Dispersion (optics); Pulmonary surfactant; Porosity; Chemistry; Geology; Composite material; Organic chemistry; Thermodynamics","score_opus":0.014298391979345538,"score_gpt":0.25329630481674503,"score_spread":0.2389979128373995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746105897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9049518,0.00096973026,0.09334244,0.000067641515,0.00041016747,0.000054392,0.0000061561996,0.000031204512,0.00016644444],"genre_scores_gemma":[0.9948835,0.00030676517,0.004587597,0.000009131203,0.00017461767,0.000011495629,0.0000023845766,0.000020360783,0.0000041675603],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985658,0.00001210881,0.0002839885,0.00011936662,0.00083360315,0.00018512478],"domain_scores_gemma":[0.99887705,0.00007886114,0.00026609522,0.00021081713,0.0004987464,0.000068414265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020428563,0.00012635232,0.00020955241,0.00017004456,0.00013730528,0.00012274552,0.00030295114,0.00005965286,0.0000026443463],"category_scores_gemma":[0.00036530616,0.00008849561,0.00004319863,0.000117496624,0.00008003909,0.00071973685,0.000020213194,0.00013973347,8.2863735e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004097616,0.00001588583,0.000109118315,0.00003502068,0.000057913665,0.000002197549,0.0003832074,0.47634232,0.49205464,0.000016398964,0.00009357703,0.030848732],"study_design_scores_gemma":[0.00051742804,0.00017289327,0.0050117937,0.00019314495,0.00013070734,0.000016758491,0.00006401811,0.7115336,0.28185213,0.000181106,0.00018547439,0.00014093338],"about_ca_topic_score_codex":0.000014110983,"about_ca_topic_score_gemma":0.000033571072,"teacher_disagreement_score":0.2351913,"about_ca_system_score_codex":0.00016969416,"about_ca_system_score_gemma":0.00012477471,"threshold_uncertainty_score":0.36087462},"labels":[],"label_agreement":null},{"id":"W2749901951","doi":"10.1016/j.petrol.2017.08.040","title":"Development of scaling criteria for enhanced oil recovery: A review","year":2017,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Scaling; Dimensionless quantity; Porous medium; Petroleum engineering; Enhanced oil recovery; Fluid dynamics; Flow (mathematics); Process (computing); Reservoir engineering; Displacement (psychology); Petroleum; Computer science; Porosity; Geology; Mechanics; Geotechnical engineering; Mathematics; Physics; Geometry","score_opus":0.054426642563973726,"score_gpt":0.3509526659544322,"score_spread":0.29652602339045847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749901951","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010275291,0.9762217,0.022387035,0.00000385527,0.0007788734,0.00010297945,0.000009033731,0.00004682694,0.00034698425],"genre_scores_gemma":[0.000069468006,0.9264063,0.07326488,0.0000046270834,0.00013786698,0.00003821701,0.0000014818613,0.0000485852,0.000028528995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976874,0.000009236704,0.0012675697,0.00020758557,0.00045772913,0.0003704712],"domain_scores_gemma":[0.99843425,0.000115608935,0.00070087775,0.00029577155,0.00030404032,0.00014945019],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025430466,0.000347477,0.0017795438,0.0006199946,0.00010099391,0.000100359306,0.0007539959,0.00013011141,0.0000042474435],"category_scores_gemma":[0.0007210037,0.0002932289,0.00031398376,0.00026207653,0.000070431786,0.00060132024,0.00007710484,0.00033561795,8.9803916e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015408508,0.0000046076652,2.0358032e-8,0.06338009,0.000056750476,0.0000018678542,0.000028332142,0.00014859863,0.0029314028,0.0000063497123,0.000094267874,0.93334615],"study_design_scores_gemma":[0.00008989117,0.000050344926,6.6710135e-7,0.14589977,0.00020001995,0.00007302341,0.000004202026,0.0006810449,0.0027955868,0.0000060990665,0.8498746,0.00032475404],"about_ca_topic_score_codex":3.0697865e-7,"about_ca_topic_score_gemma":5.32124e-7,"teacher_disagreement_score":0.9330214,"about_ca_system_score_codex":0.00032442342,"about_ca_system_score_gemma":0.0005239177,"threshold_uncertainty_score":0.99995196},"labels":[],"label_agreement":null},{"id":"W2762918539","doi":"10.1016/j.petrol.2017.09.055","title":"Effects of surface roughness and mineral heterogeneity on pore-scale steam condensation","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil; Natural Sciences and Engineering Research Council of Canada; CMG Reservoir Simulation Foundation; Suncor Energy Incorporated; Canadian Natural Resources Limited; University of Calgary","keywords":"Surface finish; Materials science; Condensation; Surface roughness; Mineral; Mineralogy; Petroleum engineering; Chemical engineering; Geology; Metallurgy; Composite material; Thermodynamics; Engineering; Physics","score_opus":0.005995657406571747,"score_gpt":0.21212314921608702,"score_spread":0.20612749180951528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762918539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964101,0.0003350808,0.002739717,0.000036004585,0.00034832596,0.000027760314,0.00000157761,0.000009155391,0.00009232869],"genre_scores_gemma":[0.9992057,0.00019803387,0.0005289957,0.0000050379035,0.00004782397,3.5379557e-7,1.00271755e-7,0.000008532793,0.0000054061816],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993425,0.0000031030818,0.00017538611,0.00007950352,0.00024762875,0.00015189455],"domain_scores_gemma":[0.99965763,0.0000303657,0.000038367805,0.000102256374,0.00007179305,0.00009958183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003562658,0.000090841415,0.00018007675,0.000103618506,0.00009314013,0.000080190395,0.000146447,0.000034006833,4.5670768e-7],"category_scores_gemma":[0.000035730165,0.00007824396,0.000029119816,0.000046374666,0.000088722816,0.000375759,0.000017909415,0.00012094114,1.5802935e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009609525,0.00001163884,0.003029024,0.00017769163,0.000013784723,0.000010857631,0.00012412573,0.17627977,0.8196137,0.00019132002,0.000006735915,0.0005317582],"study_design_scores_gemma":[0.00071151747,0.00020540369,0.33789706,0.00019735518,0.000024746802,0.00004959545,0.000020996842,0.5799279,0.08074075,0.000016760423,0.000060052887,0.00014783868],"about_ca_topic_score_codex":0.000005490512,"about_ca_topic_score_gemma":0.000004118498,"teacher_disagreement_score":0.73887295,"about_ca_system_score_codex":0.00003478619,"about_ca_system_score_gemma":0.000017603117,"threshold_uncertainty_score":0.3190696},"labels":[],"label_agreement":null},{"id":"W2764093977","doi":"10.1016/j.petrol.2017.10.014","title":"Asphaltenes subfractions extracted from Brazilian vacuum residue: Chemical characterization and stabilization of model water-in-oil (W/O) emulsions","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Total; Norges Forskningsråd; Statoil; Petrobras; Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; AkzoNobel; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Natural Resources Canada; BP","keywords":"Asphaltene; Chemistry; Heptane; Toluene; Emulsion; Analytical Chemistry (journal); Chromatography; Nuclear magnetic resonance spectroscopy; Aromaticity; Organic chemistry; Molecule","score_opus":0.011598503725526727,"score_gpt":0.24244663617075884,"score_spread":0.2308481324452321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764093977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676096,0.00009189383,0.0026735438,0.0002949325,0.000048403428,0.0000020805044,0.00000986067,0.000008837394,0.000109503926],"genre_scores_gemma":[0.99884975,0.0002870695,0.0006228681,0.0000043538453,0.00007436334,9.616817e-7,0.0000054719817,0.0000080704685,0.00014710284],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989692,0.0000038987587,0.00035658543,0.00016367773,0.00032155478,0.00018507546],"domain_scores_gemma":[0.99922174,0.000028407523,0.0002651689,0.00017062499,0.000194593,0.00011945561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034980552,0.00010192069,0.0002261208,0.00022279729,0.0002124181,0.00016546341,0.00023318181,0.00006330899,0.000013321327],"category_scores_gemma":[0.00027219267,0.000081731356,0.000035907247,0.00009869848,0.00013672281,0.0010588178,0.00005572484,0.00019230568,1.7279255e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013375677,0.000028856351,0.0076485383,0.000044744666,0.000009145372,0.0000030951376,0.00019760133,0.0032781768,0.9846462,0.000008315692,3.283983e-7,0.004121597],"study_design_scores_gemma":[0.00044138168,0.000011529083,0.035899617,0.00026442966,0.000051349674,0.000018824103,0.00012690673,0.55146366,0.41148505,0.000042734202,0.00006330331,0.00013122459],"about_ca_topic_score_codex":0.000034531735,"about_ca_topic_score_gemma":0.000006546644,"teacher_disagreement_score":0.5731612,"about_ca_system_score_codex":0.000053189866,"about_ca_system_score_gemma":0.00007900283,"threshold_uncertainty_score":0.3332908},"labels":[],"label_agreement":null},{"id":"W2765723977","doi":"10.1016/j.petrol.2017.10.059","title":"Application of phased antenna arrays for pipeline leak detection","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"Tomsk Polytechnic University","keywords":"Phased array; Pipeline (software); Antenna (radio); Acoustics; Antenna array; Electronic engineering; Pipeline transport; Sensor array; Transducer; Leak; Signal processing; Phased-array optics; SIGNAL (programming language); Underwater; Engineering; Computer science; Electrical engineering; Digital signal processing; Physics; Geology","score_opus":0.007941408565402958,"score_gpt":0.21434670906399952,"score_spread":0.20640530049859657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765723977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10450792,0.00011372503,0.8948129,0.000024086876,0.00041180744,0.000040760286,0.0000013184466,0.000012802938,0.00007470955],"genre_scores_gemma":[0.99736917,0.000031445074,0.002389244,0.0000012766216,0.0001861723,0.0000028044503,1.6223407e-7,0.0000077133345,0.000012034264],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999452,0.0000013082499,0.00022258796,0.000059039612,0.00015494438,0.00011009688],"domain_scores_gemma":[0.9995055,0.00001120469,0.00013617658,0.00011087856,0.00018454419,0.000051666833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054565206,0.00005935673,0.00012605403,0.00016825128,0.00010077657,0.000067916095,0.00015676206,0.000024683946,2.850209e-7],"category_scores_gemma":[0.000095790514,0.000051410116,0.000030265459,0.000065774795,0.000034689594,0.00050645217,0.0000071829186,0.000053994976,1.6152359e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061105375,0.0000042958586,0.00012881865,0.00006731255,0.00000491985,2.480964e-7,0.00005139857,0.308828,0.68823946,0.00003168239,0.000014326071,0.0026234346],"study_design_scores_gemma":[0.00030989968,0.000053108917,0.0017698803,0.000041024003,0.00000961356,0.000018571796,0.000023117713,0.9365454,0.060042493,0.000009851512,0.0011216087,0.000055468656],"about_ca_topic_score_codex":0.000004958219,"about_ca_topic_score_gemma":0.000017656883,"teacher_disagreement_score":0.89286125,"about_ca_system_score_codex":0.00003467072,"about_ca_system_score_gemma":0.000013376366,"threshold_uncertainty_score":0.20964436},"labels":[],"label_agreement":null},{"id":"W2771932935","doi":"10.1016/j.petrol.2017.11.036","title":"Network modelling analysis of a depressurization experiment on a North Sea reservoir core sample","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Petroleum engineering; Core sample; Cabin pressurization; Permeability (electromagnetism); Bubble; Porous medium; Relative permeability; Saturation (graph theory); Petrophysics; Enhanced oil recovery; Natural gas field; Oil field; Reservoir simulation; Bubble point; Geology; Porosity; Mechanics; Environmental science; Core (optical fiber); Geotechnical engineering; Materials science; Natural gas; Chemistry","score_opus":0.025449066219079147,"score_gpt":0.25459617813818775,"score_spread":0.2291471119191086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771932935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7649004,0.00018776709,0.23457083,0.000008786259,0.00013505074,0.000019867899,0.0000033998735,0.000025543739,0.0001483792],"genre_scores_gemma":[0.9843198,0.00023751844,0.015347274,0.000004798475,0.00007346243,0.0000021939748,6.7892546e-7,0.000011186883,0.0000030791284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989696,0.0000034667833,0.00028780807,0.00010651961,0.00041994662,0.00021263008],"domain_scores_gemma":[0.9992773,0.000055155535,0.00017175336,0.00025587974,0.00014726931,0.00009262739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005108986,0.00010485364,0.0002698209,0.0004559729,0.00013187638,0.00009290144,0.00035673621,0.00003244249,0.0000022482438],"category_scores_gemma":[0.00014686408,0.0000959976,0.00006805714,0.00039850455,0.00005494446,0.0005182788,0.00004547969,0.00014581064,1.286077e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008551232,0.0000062606,0.007830504,0.00001929408,0.00007302006,0.0000026922544,0.00009382945,0.9802532,0.011229758,0.00008516271,0.000021029873,0.00037667062],"study_design_scores_gemma":[0.00008560165,0.00007153869,0.012477733,0.000089426816,0.00007872793,0.0000020356335,0.000011715496,0.975602,0.0113436775,0.000047467583,0.00009923398,0.000090854555],"about_ca_topic_score_codex":0.000022205546,"about_ca_topic_score_gemma":0.0000104628025,"teacher_disagreement_score":0.21941943,"about_ca_system_score_codex":0.000085508174,"about_ca_system_score_gemma":0.00002728594,"threshold_uncertainty_score":0.39146686},"labels":[],"label_agreement":null},{"id":"W2781790715","doi":"10.1016/j.petrol.2017.12.091","title":"Nanoparticle stabilized oil in water emulsions: A critical review","year":2018,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation","keywords":"Pulmonary surfactant; Enhanced oil recovery; Nanoparticle; Emulsion; Chemical engineering; Adsorption; Oil in place; Materials science; Petroleum engineering; Chemistry; Nanotechnology; Petroleum; Organic chemistry; Geology","score_opus":0.024144564427049837,"score_gpt":0.30304456175971217,"score_spread":0.27889999733266235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781790715","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008159818,0.99823,0.00020797874,0.000029876068,0.0004516734,0.000047582787,0.0000015417937,0.000062451734,0.000152932],"genre_scores_gemma":[0.0006500095,0.9971212,0.0020352828,0.000016486674,0.00011037731,0.000019116926,2.9987567e-7,0.000035905217,0.00001132664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796855,0.000025819225,0.0008824328,0.00018809286,0.00045812788,0.00047694484],"domain_scores_gemma":[0.9992298,0.0001457753,0.0000710253,0.00020848936,0.0001580131,0.00018688009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020023172,0.00026533887,0.0010987058,0.0005932459,0.0000376723,0.000077697856,0.00041031124,0.000101261016,0.000022666729],"category_scores_gemma":[0.0008569859,0.00017852527,0.00016174825,0.0005400924,0.00013626518,0.0005996097,0.00008031682,0.0005134749,0.000010626842],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055737873,0.00006573922,0.000003230077,0.12943716,0.00006629708,0.00019399908,0.00017284595,0.0007705799,0.012059007,0.00014723376,0.000961483,0.85611683],"study_design_scores_gemma":[0.00012874677,0.000115710376,0.0000016897478,0.11414325,0.00015548589,0.0004418781,0.0000077251925,0.002294919,0.0012995797,0.00002564883,0.88097477,0.0004106102],"about_ca_topic_score_codex":7.2659844e-7,"about_ca_topic_score_gemma":8.6217466e-7,"teacher_disagreement_score":0.8800133,"about_ca_system_score_codex":0.0003135036,"about_ca_system_score_gemma":0.00011160453,"threshold_uncertainty_score":0.72800493},"labels":[],"label_agreement":null},{"id":"W2782769431","doi":"10.1016/j.petrol.2017.12.062","title":"Effect of light hydrocarbon solvents on the performance of CO2-based cyclic solvent injection (CSI) in heavy oil systems","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Solvent; Solubility; Light crude oil; Hydrocarbon; Porosity; Chemistry; Gas oil ratio; Pressure drop; Analytical Chemistry (journal); Petroleum engineering; Chromatography; Materials science; Thermodynamics; Geology; Organic chemistry","score_opus":0.004346351131223452,"score_gpt":0.20808538255238151,"score_spread":0.20373903142115807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782769431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812984,0.00022373785,0.0007605379,0.000014788043,0.00050008093,0.000037206304,5.429575e-7,0.000024685054,0.0003085961],"genre_scores_gemma":[0.9996951,0.00011254497,0.00009536524,0.000003896394,0.00007150771,0.0000052923215,6.0815424e-8,0.000012286269,0.0000039000647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885803,0.000019302552,0.00038604348,0.00008862715,0.00044142856,0.00020656826],"domain_scores_gemma":[0.99947923,0.000110365734,0.00014070036,0.0001354646,0.00008309863,0.00005112444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017053459,0.0001228568,0.00025810208,0.0004769131,0.000036188387,0.000021909655,0.00022128894,0.00004589345,9.796677e-7],"category_scores_gemma":[0.000108028216,0.000085796935,0.000048926,0.00045006693,0.00008289173,0.00025228882,0.000017366658,0.00021495255,5.0762367e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046224202,0.000014305924,0.0015182836,0.00031488962,0.000009449948,0.0000013942557,0.000075126234,0.3632935,0.6335228,0.000015775675,0.000010025348,0.0011782125],"study_design_scores_gemma":[0.00017934671,0.0012913084,0.0013334984,0.0008617036,0.0000066967054,0.000012618241,0.000009767418,0.3610682,0.63513863,8.387824e-7,0.000037346737,0.000060067603],"about_ca_topic_score_codex":0.000008968096,"about_ca_topic_score_gemma":0.0000019060781,"teacher_disagreement_score":0.0022253143,"about_ca_system_score_codex":0.00016475878,"about_ca_system_score_gemma":0.000035330973,"threshold_uncertainty_score":0.34986973},"labels":[],"label_agreement":null},{"id":"W2789681243","doi":"10.1016/j.petrol.2018.02.068","title":"Direct pore-level examination of hydraulic-electric analogy in unconsolidated porous media","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation; Suncor Energy Incorporated; Canadian Natural Resources Limited; University of Calgary","keywords":"Streamlines, streaklines, and pathlines; Porous medium; Porosity; Mechanics; Petrophysics; Geology; Permeability (electromagnetism); Geotechnical engineering; Chemistry; Physics","score_opus":0.014672501328778982,"score_gpt":0.2212173022394484,"score_spread":0.20654480091066943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789681243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99752873,0.00023533624,0.00081051694,0.000059679383,0.00021398702,0.00001767105,0.000002099676,0.0000048011984,0.0011271858],"genre_scores_gemma":[0.99787694,0.00004841023,0.0019073617,0.00002471729,0.00013169032,9.674291e-8,7.0408237e-7,0.0000015052126,0.000008572531],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99887156,0.000037866335,0.00029917585,0.00012211369,0.00040099176,0.0002682945],"domain_scores_gemma":[0.999258,0.00023055509,0.0001318244,0.000059648522,0.00018678966,0.00013321999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543423,0.00008115595,0.00022737967,0.0006075598,0.000043143653,0.000023535278,0.00019964803,0.000035637757,0.0000326339],"category_scores_gemma":[0.00074677216,0.00006029718,0.000025910484,0.0015710326,0.00012354164,0.00032213406,0.000009357443,0.00014725901,0.0000026279629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009631188,0.000093826326,0.04390465,0.000049468115,0.000028053788,0.00009953477,0.0010743106,0.022150198,0.12339932,0.00019212943,0.000045147994,0.80886704],"study_design_scores_gemma":[0.0001848102,0.00046294247,0.90889907,0.000020602538,0.000007417647,0.000059200014,0.000030859057,0.08110105,0.008940318,0.00012596324,0.00009229101,0.00007548585],"about_ca_topic_score_codex":0.00015553663,"about_ca_topic_score_gemma":0.000086804415,"teacher_disagreement_score":0.8649944,"about_ca_system_score_codex":0.000011158406,"about_ca_system_score_gemma":0.00009173311,"threshold_uncertainty_score":0.24588478},"labels":[],"label_agreement":null},{"id":"W2790074133","doi":"10.1016/j.petrol.2018.02.029","title":"Investigation of the initiation pressure and fracture geometry of fractured deviated wells","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Borehole; Casing; Perforation; Hydraulic fracturing; Geology; Materials science; Geotechnical engineering; Perpendicular; Fracture (geology); Mechanics; Geometry; Composite material; Petroleum engineering","score_opus":0.005409810971650818,"score_gpt":0.19207911742118514,"score_spread":0.1866693064495343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790074133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942475,0.0012110745,0.00412104,0.00015524053,0.00017559055,0.000020475773,0.0000014251315,0.000009027268,0.00005865834],"genre_scores_gemma":[0.9993666,0.00009883143,0.00039270174,0.000028991419,0.00010022077,2.4816413e-7,1.7563697e-7,0.000006400776,0.000005829487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916553,0.000009709672,0.00027764172,0.000066747365,0.00036302334,0.00011732805],"domain_scores_gemma":[0.9994063,0.000043134198,0.00015555779,0.00010432739,0.00021701776,0.00007368111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054221886,0.00008148451,0.00017653474,0.00030214438,0.000055905217,0.000025430616,0.00016759531,0.00005785779,0.000006622843],"category_scores_gemma":[0.00020304386,0.000053048952,0.00003869281,0.0005138127,0.00017571387,0.0003196435,0.000027339916,0.00018688629,1.5172371e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006047283,0.0000046826117,0.008557974,0.00019020683,0.000089007626,8.371899e-7,0.0010747254,0.7407686,0.24878342,0.0000075758885,0.00015227216,0.00036466136],"study_design_scores_gemma":[0.00030649634,0.000099515135,0.32123584,0.00029982376,0.00014511494,0.000029669818,0.00011130781,0.33207855,0.34307382,0.00004916125,0.0024404982,0.00013022369],"about_ca_topic_score_codex":0.000011631733,"about_ca_topic_score_gemma":0.0000013057966,"teacher_disagreement_score":0.40869004,"about_ca_system_score_codex":0.000016374277,"about_ca_system_score_gemma":0.000040098043,"threshold_uncertainty_score":0.21632735},"labels":[],"label_agreement":null},{"id":"W2790407204","doi":"10.1016/j.petrol.2018.03.075","title":"A new approach in petrophysical rock typing","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petrophysics; Capillary pressure; Geology; Petroleum engineering; Geotechnical engineering; Permeability (electromagnetism); Petroleum reservoir; Water injection (oil production); Capillary action; Saturation (graph theory); Mineralogy; Porosity; Chemistry; Porous medium; Materials science; Composite material","score_opus":0.009291898021583382,"score_gpt":0.21477965632796034,"score_spread":0.20548775830637694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790407204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75487024,0.00023822335,0.24221966,0.00009780142,0.0003126348,0.000018843097,1.5857105e-7,0.000036610716,0.0022058587],"genre_scores_gemma":[0.9956921,0.000051375406,0.0038599912,0.000011260671,0.00034450335,4.488655e-7,7.2864495e-8,0.000008326617,0.000031971453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921155,0.0000041350895,0.00021792889,0.00008837231,0.00027341288,0.00020460093],"domain_scores_gemma":[0.99964494,0.000011159521,0.00002892586,0.000078419354,0.00007042302,0.00016614018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038072458,0.0000816046,0.00016268839,0.00052363676,0.000038589456,0.000070974995,0.0001823955,0.000026511307,0.000010172209],"category_scores_gemma":[0.000054684493,0.000068590125,0.000037404403,0.0007624227,0.000030649902,0.0004631784,0.000023339548,0.00018203568,0.000008030892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006353265,0.00001290409,0.0003332328,0.000024174977,0.000019195895,0.000007980148,0.00061385555,0.90740824,0.08922064,0.00021553985,0.00025366724,0.0018842288],"study_design_scores_gemma":[0.0002010316,0.00003853205,0.0018002533,0.000028890665,0.00000747151,0.00003318507,0.00013439039,0.99538624,0.0012456466,0.000016782275,0.0010200067,0.00008757895],"about_ca_topic_score_codex":0.0000040150585,"about_ca_topic_score_gemma":0.000001830557,"teacher_disagreement_score":0.24082184,"about_ca_system_score_codex":0.00008200381,"about_ca_system_score_gemma":0.000064720305,"threshold_uncertainty_score":0.27970243},"labels":[],"label_agreement":null},{"id":"W2791232819","doi":"10.1016/j.petrol.2018.02.009","title":"Deformation of microdroplets in crude oil for rapid screening of enhanced oil recovery additives","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Suncor Energy (Canada); University of Toronto; University of New Brunswick","funders":"China Geological Survey; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Suncor Energy Incorporated","keywords":"Crude oil; Enhanced oil recovery; Petroleum engineering; Light crude oil; Deformation (meteorology); Chromatography; Chemistry; Environmental science; Materials science; Geology; Composite material; Organic chemistry","score_opus":0.007732156164415872,"score_gpt":0.22481514286907633,"score_spread":0.21708298670466047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791232819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922475,0.00039540717,0.0063167466,0.000031243555,0.000056166762,0.0000011343191,0.000006681294,0.0000046117902,0.0009405039],"genre_scores_gemma":[0.99372566,0.0002100994,0.005802682,0.0000061183355,0.00012040049,0.0000011316758,8.759293e-7,0.0000058290143,0.00012722908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895936,0.0000027809413,0.00045210263,0.00010331509,0.00029145565,0.0001909848],"domain_scores_gemma":[0.99909014,0.000053096515,0.00038049358,0.00007700585,0.00034021787,0.000059059723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007766679,0.00008537809,0.00025685006,0.0004212591,0.000055818276,0.000029398767,0.00018965435,0.00003921803,0.000014668789],"category_scores_gemma":[0.00031993186,0.00007477834,0.00007628852,0.00032781457,0.00013462309,0.00055857736,0.000024397326,0.00010482477,1.4026217e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042630585,0.00001574712,0.00015390293,0.00021348044,0.000015759942,5.318081e-7,0.00028191664,0.0023100083,0.92677164,0.0000031373086,0.0000054499296,0.07018581],"study_design_scores_gemma":[0.000630334,0.00012416138,0.0007680823,0.0009979247,0.000031055155,0.000021933269,0.000656269,0.031361192,0.964838,0.000006442402,0.00045443716,0.00011013308],"about_ca_topic_score_codex":0.0000065798536,"about_ca_topic_score_gemma":0.0000028113063,"teacher_disagreement_score":0.070075676,"about_ca_system_score_codex":0.000047935304,"about_ca_system_score_gemma":0.00010159898,"threshold_uncertainty_score":0.30493724},"labels":[],"label_agreement":null},{"id":"W2792159377","doi":"10.1016/j.petrol.2018.03.004","title":"Efficiency of heavy-oil/bitumen recovery from fractured carbonates by hot-solvent injection","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Petroleum Engineers","keywords":"Solvent; Heptane; Naphtha; Propane; Enhanced oil recovery; Saturation (graph theory); Asphalt; Chemistry; Oil sands; Outcrop; Asphaltene; Carbonate; Petroleum engineering; Geology; Materials science; Organic chemistry; Composite material","score_opus":0.003691173347593475,"score_gpt":0.2009004169365004,"score_spread":0.19720924358890693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792159377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97091514,0.00152054,0.026016047,0.000022389762,0.0008186632,0.000018420336,0.0000074570976,0.0000758243,0.00060549966],"genre_scores_gemma":[0.99542046,0.0004715389,0.0038903912,0.000014887438,0.00016700593,0.0000016174813,5.34824e-7,0.000017771836,0.000015792759],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987545,0.000006439814,0.0003850476,0.00013828064,0.00045718288,0.00025855037],"domain_scores_gemma":[0.99937373,0.00006328179,0.000130336,0.00013066841,0.00018711267,0.000114868504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005575654,0.00014540245,0.00025275594,0.00037113426,0.000052977146,0.00005625697,0.00025171074,0.00006738934,0.000011464427],"category_scores_gemma":[0.00014531428,0.00013189953,0.000057994563,0.00039164332,0.00012312976,0.00063831365,0.00003363763,0.00023169447,0.0000010635051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021329668,0.000017047387,0.00015436791,0.000030044348,0.000023487382,0.0000023204066,0.00020575673,0.025911065,0.9665949,0.000006961451,0.0004226954,0.006610023],"study_design_scores_gemma":[0.00024057274,0.00057127094,0.0018644471,0.00024457678,0.000021795811,0.000033827808,0.000064596956,0.08391229,0.9105529,0.00010715226,0.0021698077,0.00021672572],"about_ca_topic_score_codex":0.00003434218,"about_ca_topic_score_gemma":0.0000034860043,"teacher_disagreement_score":0.058001228,"about_ca_system_score_codex":0.0001817838,"about_ca_system_score_gemma":0.00005808766,"threshold_uncertainty_score":0.5378707},"labels":[],"label_agreement":null},{"id":"W2797539664","doi":"10.1016/j.petrol.2018.04.018","title":"A comprehensive review of formation damage during enhanced oil recovery","year":2018,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Context (archaeology); Enhanced oil recovery; Petroleum engineering; Petroleum; Environmental science; Work (physics); Risk analysis (engineering); Biochemical engineering; Computer science; Business; Engineering; Chemistry; Geology","score_opus":0.014376582077269594,"score_gpt":0.2651346883965208,"score_spread":0.2507581063192512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797539664","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015611616,0.99489534,0.0023408616,0.0000029433145,0.0005373572,0.00006981214,0.0000083358345,0.0000690779,0.00051508634],"genre_scores_gemma":[0.00022264673,0.9962912,0.003236119,0.00000798267,0.00017039344,0.0000102890335,0.0000016817742,0.000041800515,0.000017852823],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977216,0.000020923668,0.0011695975,0.00017106446,0.00058806496,0.00032874773],"domain_scores_gemma":[0.9984503,0.00010079823,0.00060055265,0.00026232135,0.0004522435,0.00013380477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008656255,0.0003352344,0.0014008681,0.00088130945,0.000050759605,0.000052581738,0.00049893354,0.00012300564,0.00000825357],"category_scores_gemma":[0.00027323372,0.00028629295,0.00029037942,0.0007869397,0.000105030624,0.0011626944,0.00008560777,0.0004654199,0.0000034047853],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041301973,0.000010989799,1.09737314e-7,0.48144376,0.00010021801,0.00001571475,0.00005848939,0.0013031908,0.012281895,0.000007644529,0.00030181446,0.504472],"study_design_scores_gemma":[0.0001979952,0.00022556123,0.00001026663,0.47453138,0.000348447,0.000612796,0.000018636312,0.0015393596,0.009527765,0.000008722226,0.5123429,0.000636196],"about_ca_topic_score_codex":5.0304754e-7,"about_ca_topic_score_gemma":1.8061021e-7,"teacher_disagreement_score":0.51204103,"about_ca_system_score_codex":0.00037737895,"about_ca_system_score_gemma":0.0001550404,"threshold_uncertainty_score":0.99995893},"labels":[],"label_agreement":null},{"id":"W2797807349","doi":"10.1016/j.petrol.2018.04.023","title":"Numerical simulation of the thermomechanical behavior of cement sheath in wells subjected to steam injection","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Universidade Federal do Rio Grande do Norte; Polytechnique Montréal","keywords":"Cement; Materials science; Steam injection; Slurry; Cracking; Composite material; Geotechnical engineering; Petroleum engineering; Geology","score_opus":0.007222279701919753,"score_gpt":0.22144929531150362,"score_spread":0.21422701560958388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797807349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552616,0.00005375919,0.043955497,0.00001239926,0.0005977024,0.000049382248,6.1383446e-7,0.00001390154,0.000055167187],"genre_scores_gemma":[0.9993848,0.000010081323,0.0004955596,0.000004337208,0.000090547524,0.0000013900021,4.2363567e-8,0.000010361613,0.00000286653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990225,0.0000058033315,0.00036103945,0.00007770146,0.0003583257,0.00017461691],"domain_scores_gemma":[0.9996043,0.000032801017,0.000059680555,0.00010330357,0.00012622213,0.0000737081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056214293,0.00008715811,0.00017762059,0.00033146844,0.000025058238,0.000013128425,0.00017527973,0.00003510763,0.0000037245927],"category_scores_gemma":[0.00008700665,0.00006666874,0.000039484254,0.00069144065,0.000038518574,0.00016161164,0.000026239595,0.0001472773,4.2261428e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005620179,0.000012435531,0.0010006261,0.00001910409,0.0000037556333,5.347574e-7,0.00018107382,0.7643045,0.23350129,0.00001311614,0.0000021031576,0.00095585553],"study_design_scores_gemma":[0.00019787418,0.00023699118,0.03649905,0.00015668791,0.000012113256,0.000014905928,0.000052254614,0.8886335,0.07403647,0.000004056827,0.00007630332,0.000079816775],"about_ca_topic_score_codex":0.0000119005745,"about_ca_topic_score_gemma":0.000001622186,"teacher_disagreement_score":0.1594648,"about_ca_system_score_codex":0.00010123922,"about_ca_system_score_gemma":0.00003070142,"threshold_uncertainty_score":0.27186725},"labels":[],"label_agreement":null},{"id":"W2799810746","doi":"10.1016/j.petrol.2018.04.067","title":"A modified model to describe porosity-temperature relationship","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Ecopetrol; Universidad Nacional de Colombia; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Porosity; Petroleum engineering; Materials science; Geology; Mechanics; Thermodynamics; Environmental science; Geotechnical engineering; Physics","score_opus":0.013587530862004957,"score_gpt":0.2245646516747318,"score_spread":0.21097712081272685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799810746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93912274,0.00014789375,0.059663292,0.00022645186,0.000240303,0.000017611212,9.0976295e-7,0.00004457804,0.0005362199],"genre_scores_gemma":[0.99491024,0.000020068537,0.0046927994,0.000046231788,0.00023709868,9.411418e-7,1.2694075e-7,0.000012099922,0.00008039983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990071,0.0000041137196,0.00022876401,0.00010609514,0.000394963,0.00025893314],"domain_scores_gemma":[0.9993461,0.000024178467,0.000030588686,0.0001292481,0.00019986392,0.00027006594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669661,0.000108253684,0.00016597369,0.00051032216,0.00014392751,0.0001214969,0.00023825059,0.000050784514,0.0000028690902],"category_scores_gemma":[0.00020525807,0.00008855327,0.0000480626,0.00058006606,0.000061692524,0.0004315283,0.000031921427,0.0002641997,0.000004420062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034575064,0.000003671393,0.00012308249,0.000012849655,0.00001065219,0.000004292577,0.00037072864,0.927847,0.07119471,0.00004779658,0.0002625236,0.00011918259],"study_design_scores_gemma":[0.00013404828,0.000057424066,0.004057876,0.00006269647,0.000020090374,0.000054465345,0.000053941192,0.9875985,0.00742112,0.000040479266,0.00036856288,0.0001307945],"about_ca_topic_score_codex":0.0000028489123,"about_ca_topic_score_gemma":0.000002691529,"teacher_disagreement_score":0.06377359,"about_ca_system_score_codex":0.00009852135,"about_ca_system_score_gemma":0.000057171565,"threshold_uncertainty_score":0.36110976},"labels":[],"label_agreement":null},{"id":"W2805350086","doi":"10.1016/j.petrol.2018.06.017","title":"Modeling and optimization of alkaline-surfactant-polymer flooding and hybrid enhanced oil recovery processes","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation","keywords":"Enhanced oil recovery; Oil in place; Petroleum engineering; Emulsion; Pulmonary surfactant; Residual oil; Salinity; Environmental science; Microemulsion; Workflow; Solubility; Process engineering; Flooding (psychology); Reservoir simulation; Chemical engineering; Computer science; Chemistry; Engineering; Petroleum; Geology; Organic chemistry","score_opus":0.006567416509699192,"score_gpt":0.2075175612942182,"score_spread":0.200950144784519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805350086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7288684,0.0015178814,0.26926273,0.000008850644,0.00014920745,0.000011446346,0.0000015280044,0.00003864529,0.00014126538],"genre_scores_gemma":[0.9686242,0.004325806,0.026923731,0.0000068340146,0.00009181716,0.000001211011,1.5538285e-7,0.000017781727,0.000008509377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990577,0.000003891373,0.0003326274,0.00013229703,0.00026340177,0.0002100495],"domain_scores_gemma":[0.99941593,0.000043246568,0.000081500526,0.00007427895,0.0002829796,0.00010203251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004891171,0.00013177187,0.00022727551,0.00033665056,0.000066215376,0.000074945965,0.00011443638,0.000036524667,0.00000314804],"category_scores_gemma":[0.00023517679,0.00012322141,0.00001887031,0.00028932723,0.000105328196,0.0010882297,0.000038623453,0.00012959342,1.2452448e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000081360095,0.0000030166784,0.000013670017,0.00015492659,0.0000095761825,0.0000011670865,0.00010907312,0.5875021,0.40894586,0.0000056398826,0.000002750115,0.003244083],"study_design_scores_gemma":[0.00011094702,0.00009525818,0.000011637243,0.00027092182,0.000011438652,0.000056942044,0.000043583554,0.64219713,0.3570815,0.000015264144,0.000010185783,0.000095146126],"about_ca_topic_score_codex":0.0000034562945,"about_ca_topic_score_gemma":0.0000015468636,"teacher_disagreement_score":0.242339,"about_ca_system_score_codex":0.00004199823,"about_ca_system_score_gemma":0.000058415026,"threshold_uncertainty_score":0.50248235},"labels":[],"label_agreement":null},{"id":"W2806783790","doi":"10.1016/j.petrol.2018.05.071","title":"Analytical approach for leakage characterization in carbon sequestration in a bounded deep saline aquifer","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Aquifer; Leakage (economics); Dimensionless quantity; Carbon sequestration; Soil science; Environmental science; Petroleum engineering; Specific storage; Geology; Geotechnical engineering; Groundwater; Mechanics; Carbon dioxide; Chemistry; Groundwater recharge","score_opus":0.011178042525526944,"score_gpt":0.244298845907578,"score_spread":0.23312080338205105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806783790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717524,0.0000032747544,0.02702425,0.00021618768,0.00010652182,0.00004935714,4.3135012e-7,0.000004537781,0.0008430245],"genre_scores_gemma":[0.997195,0.000005427946,0.0026302577,0.000043477336,0.00008612719,0.0000032924186,0.0000014956793,0.0000026592832,0.000032229542],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992864,0.000008812451,0.00024216609,0.00011289614,0.00019472805,0.0001549603],"domain_scores_gemma":[0.9997803,0.000016452816,0.000066638444,0.00004643948,0.00003575604,0.00005442681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007666653,0.0000575267,0.000093091614,0.00019906509,0.000036211568,0.00005160124,0.00008596033,0.00003052313,0.00001915361],"category_scores_gemma":[0.00015427999,0.00005010539,0.000015833273,0.00035475768,0.000117134994,0.00048685004,0.000019124709,0.00010466522,7.587793e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011778947,0.00019310541,0.10351617,0.000022186818,0.000006050993,0.000014783528,0.0014761843,0.062232558,0.8276882,0.0017455013,0.00001265429,0.0029748008],"study_design_scores_gemma":[0.00022825296,0.00014524623,0.19713846,0.000011231644,0.00000302141,0.000031780306,0.00007795948,0.8010903,0.0009435993,0.00005000067,0.00022241486,0.00005770427],"about_ca_topic_score_codex":0.000026733598,"about_ca_topic_score_gemma":0.00007207968,"teacher_disagreement_score":0.8267446,"about_ca_system_score_codex":0.00018918312,"about_ca_system_score_gemma":0.00003226008,"threshold_uncertainty_score":0.20432384},"labels":[],"label_agreement":null},{"id":"W2807489695","doi":"10.1016/j.petrol.2018.06.004","title":"A new methodology for history matching combining iterative discrete Latin Hypercube with multi-start simulated annealing","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Universidade Estadual de Campinas; Petrobras; Energi Simulation","keywords":"Latin hypercube sampling; Simulated annealing; Robustness (evolution); Computer science; Benchmark (surveying); Mathematical optimization; Hypercube; Matching (statistics); Algorithm; Mathematics; Statistics","score_opus":0.05944138404266692,"score_gpt":0.3046224148205766,"score_spread":0.2451810307779097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807489695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4247512,0.00032476062,0.57432127,0.000022239548,0.0004451106,0.000041149156,9.258039e-7,0.00005572946,0.000037584992],"genre_scores_gemma":[0.57763004,0.000011912461,0.42208222,0.000013153856,0.00019340425,0.0000010720921,3.875052e-7,0.000025338622,0.00004246428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987222,0.000026400401,0.00039467597,0.00017403025,0.00030446678,0.00037826053],"domain_scores_gemma":[0.99886584,0.00036648076,0.000096799246,0.00013137732,0.00029569073,0.00024378349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739416,0.00019953644,0.00036019186,0.00047645034,0.0001128253,0.0000797154,0.00022043503,0.000064181535,0.000008241016],"category_scores_gemma":[0.00037254684,0.0001655768,0.000055735716,0.0003021843,0.00009259997,0.0006191687,0.000027261498,0.00028241362,5.816825e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031295767,0.000002600526,0.00010668276,0.000042709504,0.000033320674,0.000005007765,0.0018241677,0.9088178,0.08837447,0.00011124498,0.000040549574,0.00061009446],"study_design_scores_gemma":[0.0010753061,0.00027502267,0.00074848754,0.00014714156,0.000027245414,0.00005650896,0.00018418838,0.99048847,0.0041091545,0.000033303273,0.0026427025,0.00021246583],"about_ca_topic_score_codex":0.000010797385,"about_ca_topic_score_gemma":0.000002522896,"teacher_disagreement_score":0.15287884,"about_ca_system_score_codex":0.0002261062,"about_ca_system_score_gemma":0.00011963522,"threshold_uncertainty_score":0.6752026},"labels":[],"label_agreement":null},{"id":"W2808448492","doi":"10.1016/j.petrol.2018.06.024","title":"Field-scale history matching with sparse geologic dictionaries","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Energi Simulation; Society of Petroleum Engineers","keywords":"Scale (ratio); Field (mathematics); Matching (statistics); Geology; Computer science; Data science; Geography; Statistics; Mathematics; Cartography","score_opus":0.010766145723724972,"score_gpt":0.2185141753776595,"score_spread":0.20774802965393452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808448492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7621794,0.00044971387,0.23573783,0.000047633443,0.00068151223,0.00001365706,1.9531213e-7,0.00006578358,0.00082427845],"genre_scores_gemma":[0.9657476,0.000059829745,0.033810746,0.000023261571,0.00028903983,9.743538e-7,7.3284596e-8,0.000012398468,0.00005609076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914527,0.000005791545,0.00020404582,0.00009099277,0.0003326083,0.00022131421],"domain_scores_gemma":[0.99949735,0.000070623086,0.000041770476,0.00010365063,0.00015829995,0.00012829914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066711294,0.00010900145,0.00015850595,0.0003088451,0.00007146601,0.000045504526,0.00016897112,0.000037622853,0.000022072838],"category_scores_gemma":[0.00008544963,0.000085631706,0.000026131253,0.00020858631,0.00011714587,0.00049675576,0.000021319398,0.00021098771,0.000001776516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013110686,0.0000039892293,0.0007733643,0.000027754599,0.0000123297095,0.000009025549,0.00042527914,0.9774773,0.020270405,0.00013860218,0.00020964596,0.000639172],"study_design_scores_gemma":[0.00042552067,0.00044983375,0.009815814,0.000109215296,0.00002024423,0.0002980574,0.00016552002,0.95966685,0.005345034,0.000074383985,0.023384968,0.0002445827],"about_ca_topic_score_codex":0.0000039468637,"about_ca_topic_score_gemma":0.0000015135079,"teacher_disagreement_score":0.20356819,"about_ca_system_score_codex":0.00014637959,"about_ca_system_score_gemma":0.00005350136,"threshold_uncertainty_score":0.34919596},"labels":[],"label_agreement":null},{"id":"W2808795539","doi":"10.1016/j.petrol.2018.06.042","title":"A new hybrid production optimization algorithm for the combined CO2-cyclic solvent injection (CO2-CSI) and water/gas flooding in the post-CHOPS reservoirs","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Particle swarm optimization; Petroleum engineering; Algorithm; Reservoir simulation; Enhanced oil recovery; Injection well; Environmental science; Mathematical optimization; Computer science; Mathematics; Engineering","score_opus":0.01302527617220635,"score_gpt":0.2470762375213988,"score_spread":0.23405096134919243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808795539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.538707,0.00021990233,0.45977193,0.0004231552,0.0007395045,0.00010176404,5.985272e-7,0.000025891813,0.000010254826],"genre_scores_gemma":[0.95463866,0.0002107542,0.044484008,0.000015594354,0.00060319033,0.000008886369,9.884269e-7,0.000019740379,0.000018189581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885404,0.00002197033,0.00033099268,0.0001449051,0.00035839668,0.00028968957],"domain_scores_gemma":[0.9993644,0.00013468855,0.00005310127,0.00014938881,0.0002100904,0.00008834063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025341618,0.00013789759,0.00016245943,0.00036945858,0.00022891721,0.00021297918,0.00023467449,0.000036411286,0.0000022841198],"category_scores_gemma":[0.00034673116,0.00008398004,0.000040033792,0.00038640105,0.00006597243,0.0006392821,0.000030451443,0.00023652724,3.0259199e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000142444205,0.0000052389987,0.000048008096,0.00002525247,0.00001255373,0.0000012368117,0.000711092,0.9775771,0.016103147,0.000012612318,0.00006257208,0.005426937],"study_design_scores_gemma":[0.0004914822,0.00022898128,0.0010685616,0.00006375916,0.000020592624,0.00012872499,0.0002747695,0.9886668,0.008401159,0.000039311304,0.0005083946,0.000107495754],"about_ca_topic_score_codex":0.000015218687,"about_ca_topic_score_gemma":0.0000036710264,"teacher_disagreement_score":0.41593164,"about_ca_system_score_codex":0.00008994737,"about_ca_system_score_gemma":0.00003502668,"threshold_uncertainty_score":0.3424607},"labels":[],"label_agreement":null},{"id":"W2810114870","doi":"10.1016/j.petrol.2018.06.068","title":"The effect of IPC formulation on bitumen properties – An experimental study","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Asphalt; Viscosity; Emulsion; Solubility; Chemical engineering; Chemistry; Materials science; Organic chemistry; Composite material","score_opus":0.007782588784412032,"score_gpt":0.24238061559046387,"score_spread":0.23459802680605182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810114870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873716,0.0001507192,0.0005672977,0.00000456882,0.00026211198,0.000063531326,1.8825172e-7,0.000034659366,0.0001797913],"genre_scores_gemma":[0.9996294,0.000014423047,0.00024212414,0.0000015741974,0.00009338695,0.0000042882425,2.1201162e-8,0.000009564984,0.000005244815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923164,0.00001044614,0.0001996918,0.0000651542,0.00034570394,0.00014733784],"domain_scores_gemma":[0.9996803,0.00003862489,0.0000512666,0.00010488911,0.000071867675,0.00005306359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009830288,0.00008664433,0.00012412199,0.00017126737,0.00009696095,0.00006143869,0.00018992621,0.000017240944,9.3721115e-7],"category_scores_gemma":[0.000072332514,0.000051611936,0.000022052007,0.00016043457,0.00007161917,0.00057425234,0.000020338864,0.00009933226,4.444574e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043350792,0.000022056236,0.00078481954,0.000015856003,0.00001188009,0.0000013206135,0.00056723045,0.018893672,0.97614527,0.000029113773,0.0000126210325,0.0034728304],"study_design_scores_gemma":[0.0002186659,0.005387429,0.003125709,0.000065392145,0.0000062811164,0.000012016325,0.00019787742,0.07418942,0.916639,0.0000038547023,0.000086236236,0.000068130495],"about_ca_topic_score_codex":0.0000020570192,"about_ca_topic_score_gemma":0.0000015649118,"teacher_disagreement_score":0.059506256,"about_ca_system_score_codex":0.00008269156,"about_ca_system_score_gemma":0.000013163584,"threshold_uncertainty_score":0.21046737},"labels":[],"label_agreement":null},{"id":"W2810176485","doi":"10.1016/j.petrol.2018.06.037","title":"A study of 3D modeling of hydraulic fracturing and stress perturbations during fluid injection","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hydraulic fracturing; Fracture (geology); Geology; Mechanics; Shear stress; Geotechnical engineering; Shear (geology); Stress (linguistics); Petrology","score_opus":0.007564778927045933,"score_gpt":0.21568861001257494,"score_spread":0.208123831085529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810176485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908686,0.00037945382,0.008425279,0.000012559506,0.0001560398,0.000031464137,0.000001071793,0.000020300462,0.00010518458],"genre_scores_gemma":[0.9992381,0.00010491301,0.00049416284,0.0000014817003,0.00014281795,0.0000010358773,9.628438e-8,0.000012208258,0.000005230503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988229,0.000008472035,0.0004331246,0.00011942738,0.00042334362,0.00019272871],"domain_scores_gemma":[0.99940693,0.000031209263,0.0001047235,0.00012945788,0.00022054913,0.00010714695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047244597,0.00011903647,0.00027267376,0.0007085553,0.00011762707,0.0000405258,0.00016003144,0.000038322116,0.0000030284257],"category_scores_gemma":[0.000118100725,0.00010099138,0.000037744325,0.00042527102,0.00008010558,0.00048317495,0.00004951795,0.00018542306,1.5362608e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006478364,0.000028477682,0.0017697276,0.00009014881,0.000051021427,0.0000033639583,0.0020496796,0.9458475,0.04990094,9.83508e-7,9.0224023e-7,0.000250768],"study_design_scores_gemma":[0.00035212236,0.00024495952,0.016465325,0.00016209725,0.00005598016,0.000062432286,0.0014290981,0.9669257,0.014189673,0.0000030760143,0.000006536303,0.00010300688],"about_ca_topic_score_codex":0.00004488198,"about_ca_topic_score_gemma":0.000011673135,"teacher_disagreement_score":0.035711266,"about_ca_system_score_codex":0.00005045187,"about_ca_system_score_gemma":0.000026844735,"threshold_uncertainty_score":0.4118309},"labels":[],"label_agreement":null},{"id":"W2811192433","doi":"10.1016/j.petrol.2018.07.001","title":"Scale up of pore-scale transport properties from micro to macro scale; network modelling approach","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation; Suncor Energy Incorporated; Canadian Natural Resources Limited; Canada Excellence Research Chairs, Government of Canada; University of Calgary","keywords":"Capillary pressure; Relative permeability; Porous medium; Permeability (electromagnetism); Scaling; Macroscopic scale; Scale (ratio); Multiphase flow; Reservoir simulation; Porosity; Capillary action; Reservoir engineering; Imbibition; Macro; Geology; Mechanics; Geotechnical engineering; Materials science; Petroleum engineering; Computer science; Mathematics; Chemistry; Geometry; Physics; Composite material","score_opus":0.00971302656673044,"score_gpt":0.1909859732865468,"score_spread":0.18127294671981636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811192433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68313664,0.00034621937,0.31565183,0.000014676774,0.00037133571,0.00004314726,0.0000039905412,0.000060854338,0.00037127425],"genre_scores_gemma":[0.8683688,0.00013952894,0.13106166,0.000015871497,0.00034923322,0.000003683916,5.046413e-7,0.000028072482,0.000032650685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984144,0.0000054516054,0.00049400015,0.00019506463,0.00047108307,0.0004199746],"domain_scores_gemma":[0.9992787,0.0000172022,0.00008439451,0.00018254104,0.00022657836,0.0002105415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070916006,0.0001898338,0.0003695175,0.0002923485,0.00007902093,0.000050397433,0.00039975453,0.0000726165,0.000004691002],"category_scores_gemma":[0.00001318255,0.0001518988,0.000077594435,0.00050892227,0.00016192305,0.00057019986,0.000037593716,0.00024843178,0.0000011344683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021426029,0.000009654835,0.00064116216,0.00005282075,0.000013123186,0.0000016631362,0.0007518308,0.61190283,0.38494495,0.000002479581,0.00007671956,0.0015813592],"study_design_scores_gemma":[0.00020609795,0.0001663912,0.0018565885,0.00046382227,0.00002891211,0.00004599611,0.00015539785,0.5290723,0.46684384,0.000051923405,0.00083572674,0.00027297554],"about_ca_topic_score_codex":0.000020564903,"about_ca_topic_score_gemma":0.000007437978,"teacher_disagreement_score":0.18523213,"about_ca_system_score_codex":0.00009811319,"about_ca_system_score_gemma":0.00005288311,"threshold_uncertainty_score":0.6194253},"labels":[],"label_agreement":null},{"id":"W2883612320","doi":"10.1016/j.petrol.2018.07.048","title":"Managing reservoir uncertainty in petroleum field development: Defining a flexible production strategy from a set of rigid candidate strategies","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Petrobras; Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Energi Simulation","keywords":"Exploit; Flexibility (engineering); Weighting; Probabilistic logic; Production (economics); Computer science; Risk analysis (engineering); Set (abstract data type); Field (mathematics); Operations research; Engineering; Artificial intelligence; Economics; Business; Mathematics","score_opus":0.018422147124277456,"score_gpt":0.2764937364750258,"score_spread":0.2580715893507483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883612320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633342,0.00049318396,0.035073195,0.000054767508,0.00047623855,0.000032643024,0.0000019710365,0.00005095501,0.00048286587],"genre_scores_gemma":[0.98672014,0.0001044881,0.01296023,0.000003911561,0.00017507204,0.0000024774797,0.000001117988,0.000017061328,0.000015494323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984311,0.000018079847,0.0005605168,0.0001817902,0.00045463705,0.00035391754],"domain_scores_gemma":[0.999316,0.00010224117,0.000109646535,0.00016618407,0.00018619494,0.00011974966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014616114,0.00017254782,0.0003045534,0.00076888653,0.000079193625,0.00012172742,0.00028279333,0.000060902217,0.000009660078],"category_scores_gemma":[0.00023325541,0.00016150688,0.000035329493,0.00066170254,0.00007709252,0.0008949273,0.000043848893,0.00031435906,0.000001082872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024987503,0.000004650535,0.00079332705,0.000078927325,0.000020108168,0.000007213073,0.0007876947,0.96689135,0.029607138,0.000100087,0.000021262824,0.0016632577],"study_design_scores_gemma":[0.00045319137,0.00013991875,0.0070556626,0.00039199297,0.000010783996,0.000024839874,0.0009454102,0.9605367,0.029147986,0.00023584146,0.0008428454,0.00021483196],"about_ca_topic_score_codex":0.00008634113,"about_ca_topic_score_gemma":0.00004620674,"teacher_disagreement_score":0.023385968,"about_ca_system_score_codex":0.00014282476,"about_ca_system_score_gemma":0.00019116052,"threshold_uncertainty_score":0.65860593},"labels":[],"label_agreement":null},{"id":"W2886416434","doi":"10.1016/j.petrol.2018.08.053","title":"Investigation of the relative permeabilities in two-phase flow of heavy oil/water and three-phase flow of heavy oil/water/gas systems","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Relative permeability; Two-phase flow; Imbibition; Permeability (electromagnetism); Saturation (graph theory); Wetting; Multiphase flow; Petroleum engineering; Flow (mathematics); Materials science; Geotechnical engineering; Mechanics; Chemistry; Geology; Porosity; Composite material","score_opus":0.011107880496002741,"score_gpt":0.23998617201000913,"score_spread":0.22887829151400638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886416434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993081,0.00046289258,0.0058426186,0.000052581025,0.00036573535,0.000039671842,0.0000090665235,0.000022265629,0.00012420384],"genre_scores_gemma":[0.99601376,0.00012249676,0.0037473808,0.000003971061,0.000076036435,0.000004458236,5.258733e-7,0.000016868327,0.000014521127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983979,0.000027756192,0.0006946584,0.0001420461,0.00045078088,0.00028684855],"domain_scores_gemma":[0.9992175,0.000077851335,0.00013895865,0.00019042964,0.0002766359,0.00009863866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014220548,0.00016986224,0.00040554564,0.0004491512,0.000054396623,0.000036243215,0.00024143759,0.00005876428,0.0000036315857],"category_scores_gemma":[0.00015187435,0.00010924494,0.00006328174,0.0003054888,0.0004916172,0.00088245544,0.00006434083,0.0002488148,2.2697141e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044771226,0.000020205904,0.0007353713,0.00045646844,0.000021528927,0.0000024048954,0.0030311383,0.09177087,0.90134263,0.000077491946,0.000006405842,0.0024906835],"study_design_scores_gemma":[0.0006307909,0.00031537184,0.00041266327,0.0007412188,0.000015745927,0.000038250357,0.0001789828,0.38291135,0.6144614,0.00016468404,0.000029625575,0.000099863035],"about_ca_topic_score_codex":0.00004122008,"about_ca_topic_score_gemma":0.000024888293,"teacher_disagreement_score":0.2911405,"about_ca_system_score_codex":0.00013173318,"about_ca_system_score_gemma":0.000058192112,"threshold_uncertainty_score":0.44548792},"labels":[],"label_agreement":null},{"id":"W2887575641","doi":"10.1016/j.petrol.2018.08.023","title":"Analytical modeling of linear flow in single-phase tight oil and tight gas reservoirs","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tight gas; Petroleum engineering; Flow (mathematics); Compressibility; Constant (computer programming); Mechanics; Tight oil; Reservoir engineering; Drawdown (hydrology); Geology; Oil shale; Geotechnical engineering; Petroleum; Computer science; Hydraulic fracturing; Aquifer; Physics; Groundwater","score_opus":0.012765005637888576,"score_gpt":0.2406750848750188,"score_spread":0.22791007923713022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887575641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841293,0.00064670015,0.014328162,0.00016865238,0.00016349801,0.000007258209,0.000001110514,0.000018020546,0.0005372736],"genre_scores_gemma":[0.99557585,0.0003662609,0.003798805,0.000006065453,0.00021834242,4.173805e-7,2.0246537e-7,0.00001357857,0.000020512276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986189,0.000009167479,0.00046248973,0.00014370492,0.00045132727,0.00031438217],"domain_scores_gemma":[0.9993671,0.000043014235,0.000055857694,0.00013897236,0.00017677339,0.00021825507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009831365,0.0001366905,0.00032611954,0.00078919064,0.00006633459,0.000053185136,0.00021737051,0.00006206337,0.000008499357],"category_scores_gemma":[0.00022234494,0.00011048296,0.00005683186,0.00062637037,0.00016658066,0.0004225343,0.000049036065,0.0002824237,8.920141e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014261607,0.000025998184,0.00016341796,0.00007263899,0.000024554787,0.00002323807,0.00031686234,0.9736511,0.023394613,0.000006100375,0.000016263746,0.0022909376],"study_design_scores_gemma":[0.00048068806,0.00012278868,0.00012693016,0.00019536076,0.000027223785,0.000055141798,0.00008477771,0.99452776,0.003780009,0.00000906154,0.00047253605,0.00011769835],"about_ca_topic_score_codex":0.000013040924,"about_ca_topic_score_gemma":0.000009903415,"teacher_disagreement_score":0.02087667,"about_ca_system_score_codex":0.00007779895,"about_ca_system_score_gemma":0.00004663417,"threshold_uncertainty_score":0.45053643},"labels":[],"label_agreement":null},{"id":"W2888063657","doi":"10.1016/j.petrol.2018.08.045","title":"Effects of irregularity on displacement flows in primary cementing of highly deviated wells","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"BC Oil and Gas Research and Innovation Society","keywords":"Slumping; Annulus (botany); Washout; Drilling fluid; Geology; Geotechnical engineering; Mechanics; Eccentricity (behavior); Petroleum engineering; Well control; Hydrogeology; Fluid dynamics; Drilling; Materials science; Geomorphology; Composite material","score_opus":0.002905534788440317,"score_gpt":0.1782475421708481,"score_spread":0.17534200738240777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888063657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866952,0.00039791115,0.011994292,0.000010113862,0.0005487015,0.000046371788,7.782504e-7,0.000021223572,0.00028542982],"genre_scores_gemma":[0.9978494,0.00010273301,0.0019294056,0.00000581352,0.000091049435,0.0000010858765,1.8677261e-7,0.000015019325,0.000005275189],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867177,0.0000070023716,0.00047855516,0.00010911125,0.00044934306,0.00028420598],"domain_scores_gemma":[0.9995005,0.00008354366,0.000104071216,0.0001058995,0.00011105705,0.00009491593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093700364,0.0001407936,0.0003151939,0.00058701483,0.000028310678,0.000020185222,0.00020072343,0.00004200668,0.0000018385325],"category_scores_gemma":[0.000105240295,0.00012846176,0.00004729003,0.0005018011,0.00007002762,0.000252333,0.0000361157,0.00018854334,7.359835e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011662705,0.00002617677,0.0006212207,0.00044223465,0.000018935822,0.000006066196,0.0001591049,0.46655193,0.53115696,0.00006362806,0.000010429422,0.00093168265],"study_design_scores_gemma":[0.00078930415,0.00032891313,0.03372008,0.0011369863,0.000025672965,0.000012667864,0.000026761585,0.62595916,0.33749738,0.000008806439,0.0003148145,0.00017943072],"about_ca_topic_score_codex":0.0000052562245,"about_ca_topic_score_gemma":8.712196e-7,"teacher_disagreement_score":0.19365953,"about_ca_system_score_codex":0.00012927431,"about_ca_system_score_gemma":0.000039043007,"threshold_uncertainty_score":0.5238519},"labels":[],"label_agreement":null},{"id":"W2889944755","doi":"10.1016/j.petrol.2018.09.004","title":"Multiple failure state triaxial testing of the Montney Formation","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Microseismic Industry Consortium","keywords":"Geology; Geotechnical engineering","score_opus":0.01177613699625985,"score_gpt":0.19361332066803308,"score_spread":0.18183718367177323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889944755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94699454,0.00007221107,0.052353993,0.000026773687,0.00044864748,0.000023054501,0.0000010072057,0.000014082931,0.00006570112],"genre_scores_gemma":[0.9955467,0.000014782236,0.0042866594,0.0000049637856,0.00013562369,4.4244211e-7,2.9074345e-8,0.00000720847,0.0000035753737],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992296,0.0000031409943,0.00026532402,0.00004819797,0.00029110952,0.00016258979],"domain_scores_gemma":[0.9995168,0.000029027067,0.00008763745,0.00007550655,0.00023065889,0.000060361373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006111615,0.000067032146,0.000108537555,0.00014842435,0.00009055686,0.000035603924,0.00018534156,0.00001881694,4.86434e-7],"category_scores_gemma":[0.00028340722,0.00004711173,0.00003069534,0.00029604795,0.000028558452,0.000469916,0.00003659797,0.00012362016,2.8421988e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027925134,0.000002069461,0.00006690918,0.000021707949,0.0000040011664,4.50523e-7,0.00028208183,0.2794324,0.71789414,0.000023221288,0.000017976403,0.0022522528],"study_design_scores_gemma":[0.00021771298,0.000053444965,0.0005961599,0.00008376758,0.000005894721,0.00003726633,0.00007263981,0.91250443,0.08602019,0.000036256442,0.0003202076,0.00005203604],"about_ca_topic_score_codex":0.0000031022644,"about_ca_topic_score_gemma":0.0000042993483,"teacher_disagreement_score":0.633072,"about_ca_system_score_codex":0.00004478785,"about_ca_system_score_gemma":0.00003871194,"threshold_uncertainty_score":0.19211607},"labels":[],"label_agreement":null},{"id":"W2893250155","doi":"10.1016/j.petrol.2018.09.088","title":"Role of fluid density on quartz wettability","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Wetting; Siliciclastic; Hydrocarbon; Quartz; Petroleum; Petroleum engineering; Petroleum reservoir; Chemical engineering; Mineralogy; Geology; Chemistry; Materials science; Organic chemistry; Composite material; Engineering","score_opus":0.005725602475440676,"score_gpt":0.20466135309764388,"score_spread":0.1989357506222032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893250155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567646,0.00013205977,0.0033269105,0.000053873777,0.0001868162,0.000012935043,6.032454e-7,0.00002029489,0.0005900265],"genre_scores_gemma":[0.9993946,0.000042306536,0.00040425904,0.000009354441,0.0001389796,3.4145413e-7,7.8134434e-8,0.0000059689532,0.000004127474],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906987,0.0000064349215,0.00027554954,0.00008006916,0.00040865788,0.0001594333],"domain_scores_gemma":[0.99945796,0.000023282608,0.00005200926,0.00012477805,0.00021312408,0.0001288596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074401347,0.000080751546,0.00018730707,0.0003332055,0.000052602933,0.00002928291,0.00016584716,0.00002924529,0.000010980951],"category_scores_gemma":[0.00012702163,0.00006514576,0.000054470845,0.00041836867,0.0001289619,0.00029418452,0.000017863145,0.00012398683,0.0000035006854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013349124,0.000027547012,0.00052671833,0.000022679766,0.000025037794,0.0000018493819,0.00043778133,0.109622695,0.8874336,0.00015757789,0.000052658284,0.0016785471],"study_design_scores_gemma":[0.0002773072,0.0003170171,0.004757768,0.000039887385,0.000018497209,0.000017489578,0.00026390585,0.8258939,0.16721535,0.000050294304,0.001044528,0.00010407245],"about_ca_topic_score_codex":0.0000031217476,"about_ca_topic_score_gemma":0.0000036187953,"teacher_disagreement_score":0.72021824,"about_ca_system_score_codex":0.00005489541,"about_ca_system_score_gemma":0.000037067428,"threshold_uncertainty_score":0.26565668},"labels":[],"label_agreement":null},{"id":"W2893929215","doi":"10.1016/j.petrol.2018.09.061","title":"A comparison study between N-Solv method and cyclic hot solvent injection (CHSI) method","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre; University of Regina","keywords":"Solvent; Chemistry; Petroleum engineering; Dew point; Viscosity; Process (computing); Materials science; Thermodynamics; Organic chemistry; Computer science; Composite material; Engineering","score_opus":0.01952294890547521,"score_gpt":0.3312238658300437,"score_spread":0.31170091692456847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893929215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5216809,0.00017859931,0.4776432,0.000012688996,0.00023775596,0.000042753272,5.851092e-7,0.000070114365,0.00013341245],"genre_scores_gemma":[0.8928855,0.000053487736,0.10676028,0.000006665597,0.00026563363,0.0000034438067,8.316596e-8,0.000018526587,0.0000063946327],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863297,0.000027763163,0.00042478755,0.00017857729,0.00043823058,0.00029767046],"domain_scores_gemma":[0.999315,0.000122045465,0.00010839128,0.00012984696,0.00015152401,0.00017317224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024767632,0.00016740372,0.00036991827,0.00057231967,0.00011333506,0.00012752147,0.00020999082,0.000054822154,0.0000031953186],"category_scores_gemma":[0.00014249826,0.0001509818,0.000040189894,0.00047474843,0.000069348935,0.0006440404,0.000066071334,0.00034029907,9.79851e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034228447,0.000091605405,0.027555712,0.00012806636,0.0001769583,0.000016040089,0.0031671987,0.0896036,0.77682734,0.00008867851,0.00020304746,0.10210752],"study_design_scores_gemma":[0.0010551492,0.003921998,0.16431451,0.0003592962,0.00020162639,0.0003972797,0.001206047,0.5752094,0.24957485,0.00028190966,0.002737114,0.00074087025],"about_ca_topic_score_codex":0.000014104107,"about_ca_topic_score_gemma":0.0000068655368,"teacher_disagreement_score":0.5272525,"about_ca_system_score_codex":0.00014683408,"about_ca_system_score_gemma":0.000030872776,"threshold_uncertainty_score":0.6156859},"labels":[],"label_agreement":null},{"id":"W2896995689","doi":"10.1016/j.petrol.2018.10.023","title":"An analysis of tracer flowback profiles to reduce uncertainty in fracture-network geometries","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Fracture (geology); TRACER; Hydraulic fracturing; Geology; Percolation (cognitive psychology); Petroleum engineering; Hydraulic conductivity; Geotechnical engineering; Soil science","score_opus":0.005973100230569615,"score_gpt":0.2409812912072122,"score_spread":0.23500819097664258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896995689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851607,0.00035682105,0.014042283,0.00010012099,0.0001989226,0.000025815189,0.000001998475,0.000019890264,0.00009345573],"genre_scores_gemma":[0.9977103,0.00007297693,0.0018926878,0.000024199473,0.00027866135,0.0000013115725,5.5743567e-7,0.000010852021,0.000008444675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985299,0.000010600445,0.00044765658,0.00015566473,0.0005054436,0.0003507002],"domain_scores_gemma":[0.9992034,0.000057478777,0.00008080589,0.00019769787,0.00022708534,0.00023355757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409983,0.00013932062,0.00044138514,0.001974128,0.000062549996,0.00007149045,0.0003476504,0.00005735418,0.000025286761],"category_scores_gemma":[0.0001934795,0.0001107166,0.00009645482,0.0038009952,0.00011205303,0.0004245759,0.00002495406,0.00021852786,0.0000010359865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000122889705,0.000013087169,0.0026208626,0.0000196834,0.00012913992,0.0000047652393,0.0005141345,0.97465485,0.021274937,0.0000032140215,0.0000654498,0.00068757957],"study_design_scores_gemma":[0.00014460222,0.00015758879,0.100377776,0.00008065106,0.00015973444,0.0000075622665,0.00024460087,0.8867967,0.010711688,0.0000060875414,0.001156398,0.00015660687],"about_ca_topic_score_codex":0.000056443852,"about_ca_topic_score_gemma":0.00006494803,"teacher_disagreement_score":0.097756915,"about_ca_system_score_codex":0.000113557406,"about_ca_system_score_gemma":0.000054875658,"threshold_uncertainty_score":0.4514892},"labels":[],"label_agreement":null},{"id":"W2898728932","doi":"10.1016/j.petrol.2018.10.103","title":"REMOVED: The stress dependence of velocities and its influencing factors for carbonate rocks in Arab formation, Saudi Arabia","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Carbonate; Geology; Geochemistry; Carbonate rock; Stress (linguistics); Petroleum engineering; Petrology; Mineralogy; Mining engineering; Materials science; Metallurgy; Sedimentary rock","score_opus":0.010675516346218397,"score_gpt":0.20507151837438967,"score_spread":0.19439600202817126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898728932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798596,0.0004939229,0.0011219961,0.00013239692,0.00013044161,0.000030894258,0.0000061733786,0.00000576376,0.00009244503],"genre_scores_gemma":[0.9992755,0.00014059986,0.0004803612,0.00005812062,0.000037655805,1.8150251e-7,2.5174865e-7,0.0000012260248,0.000006074845],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929637,0.0000072992502,0.00021720512,0.00007152918,0.00024892826,0.00015866384],"domain_scores_gemma":[0.99951035,0.00010728976,0.00012618375,0.000045493594,0.00016007655,0.00005063397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086039497,0.000062893465,0.00011099023,0.00022382433,0.000117153664,0.000050282837,0.00017766617,0.000020337022,0.000003180232],"category_scores_gemma":[0.00025944808,0.000040678693,0.000017026767,0.0001846239,0.00012901596,0.0007456377,0.000012274763,0.00009882164,1.2095894e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017928978,0.000027266824,0.7236524,0.0006634258,0.00004613447,0.000015163133,0.026878556,0.11871853,0.07780035,0.0003291921,0.00047639638,0.051213298],"study_design_scores_gemma":[0.00023283238,0.00021419927,0.25239694,0.00025569156,0.000009120895,0.0000619283,0.002981782,0.7030017,0.04002808,0.00021210675,0.00049017236,0.00011548058],"about_ca_topic_score_codex":0.00025580538,"about_ca_topic_score_gemma":0.000030449857,"teacher_disagreement_score":0.5842831,"about_ca_system_score_codex":0.000010685905,"about_ca_system_score_gemma":0.000055767527,"threshold_uncertainty_score":0.1658829},"labels":[],"label_agreement":null},{"id":"W2903269036","doi":"10.1016/j.petrol.2018.11.076","title":"Insights to fracture stimulation design in unconventional reservoirs based on machine learning modeling","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Random forest; Boosting (machine learning); Artificial neural network; Reservoir modeling; AdaBoost; Petroleum engineering; Unconventional oil; Machine learning; Data mining; Oil shale; Artificial intelligence; Computer science; Geology","score_opus":0.011787963269355614,"score_gpt":0.2275255923763144,"score_spread":0.2157376291069588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903269036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5528352,0.00010504624,0.4466581,0.00013728591,0.00013584197,0.000022865748,1.7323227e-7,0.000023507371,0.000081950995],"genre_scores_gemma":[0.9950902,0.000014717743,0.004647207,0.000050198283,0.00017301436,0.0000013190122,4.3202547e-7,0.00001373429,0.000009196002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987987,0.000018605242,0.0002874595,0.00013123715,0.00054026715,0.00022371771],"domain_scores_gemma":[0.9994774,0.00007198656,0.000040350275,0.00009179818,0.0001524893,0.00016596439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087340706,0.00012235162,0.00017801147,0.0010820563,0.00010721797,0.0000780012,0.00018503408,0.00004888259,0.000010375145],"category_scores_gemma":[0.00028360548,0.00010010993,0.000043083335,0.00065623433,0.0000295195,0.0003302962,0.000018106406,0.00036998506,0.0000035056094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021145299,0.0000088234965,0.0002772403,0.000013773476,0.0000072578923,0.00000900749,0.0001671582,0.992869,0.006424929,0.000003136722,0.0000135557575,0.00018492519],"study_design_scores_gemma":[0.00027867826,0.000169981,0.0017341963,0.00015516838,0.00000792449,0.0000051272614,0.000031312586,0.99538046,0.001664832,0.000017434582,0.00044317392,0.00011170203],"about_ca_topic_score_codex":0.000013574068,"about_ca_topic_score_gemma":0.0000077049135,"teacher_disagreement_score":0.44225496,"about_ca_system_score_codex":0.00016290814,"about_ca_system_score_gemma":0.00005502483,"threshold_uncertainty_score":0.40823644},"labels":[],"label_agreement":null},{"id":"W2911254811","doi":"10.1016/j.petrol.2019.02.001","title":"Application of fuzzy decision tree in EOR screening assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Enhanced oil recovery; Decision tree; Computer science; Data mining; Fuzzy logic; Ranking (information retrieval); Expert system; Tree (set theory); Petroleum engineering; Machine learning; Engineering; Artificial intelligence; Mathematics","score_opus":0.0039037582233495756,"score_gpt":0.2338050711432515,"score_spread":0.22990131291990193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911254811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76559913,0.00013062402,0.23343009,0.0000086159525,0.00014345124,0.000032388434,3.4393565e-7,0.000020841007,0.0006345059],"genre_scores_gemma":[0.944724,0.00010427796,0.055126823,0.0000027020624,0.000027988053,0.0000019675997,8.936517e-8,0.000009000067,0.000003127807],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990643,0.0000029830821,0.00031792704,0.00008508735,0.0003731501,0.00015651993],"domain_scores_gemma":[0.99959844,0.00006550364,0.00007686204,0.00010576604,0.000097384494,0.000056037432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076063594,0.00007856304,0.00018247907,0.00052362407,0.000011791934,0.00002395471,0.00019324056,0.00003381246,0.0000022460147],"category_scores_gemma":[0.00006257243,0.00007231937,0.000030311916,0.0004082726,0.000024182262,0.000535037,0.000027448179,0.0001809733,6.33863e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000540739,0.0000074093314,0.0079121785,0.000044181284,0.0000039875013,0.0000019002173,0.0000347579,0.40688628,0.5174062,0.00018910093,0.000008311935,0.067500256],"study_design_scores_gemma":[0.0003767937,0.00012676534,0.18154413,0.00033868878,0.000005509013,0.000032129108,0.000066861925,0.77186745,0.044983324,0.00018995965,0.00032999582,0.00013841821],"about_ca_topic_score_codex":0.0000031374343,"about_ca_topic_score_gemma":0.0000021793182,"teacher_disagreement_score":0.4724229,"about_ca_system_score_codex":0.000121401994,"about_ca_system_score_gemma":0.000031069034,"threshold_uncertainty_score":0.29490986},"labels":[],"label_agreement":null},{"id":"W2919499782","doi":"10.1016/j.petrol.2019.02.075","title":"Nanoparticles transport in heterogeneous porous media using continuous time random walk approach","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Abu Dhabi National Oil Company","keywords":"Continuous-time random walk; Porous medium; Random walk; Diffusion; Reaction rate; Flow (mathematics); Fluid dynamics; Mechanics; Particle (ecology); Statistical physics; Materials science; Thermodynamics; Porosity; Chemistry; Physics; Mathematics; Geology; Statistics","score_opus":0.005982003912498815,"score_gpt":0.18125097802983853,"score_spread":0.17526897411733972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919499782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979539,0.00013211819,0.0015606963,0.00002322159,0.00012866834,0.00004210838,4.4019112e-7,0.000006485698,0.00015236047],"genre_scores_gemma":[0.99891484,0.000014330625,0.0009500516,0.000019299943,0.000022691478,9.1123195e-7,1.14266214e-7,0.0000055088703,0.000072280796],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99888694,0.000009306984,0.00026610334,0.00013905771,0.00045493612,0.00024368164],"domain_scores_gemma":[0.999725,0.000026978845,0.000074220974,0.0000670721,0.00002219315,0.00008456356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008424639,0.00009190342,0.00021950915,0.00012787008,0.000050858063,0.00003547718,0.00016553211,0.00002195256,0.0000337528],"category_scores_gemma":[0.000026083191,0.000072504794,0.000032313455,0.0002256865,0.000102123835,0.00047398597,0.000041257554,0.00009199956,0.000010419947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034631124,0.000044036493,0.10419767,0.000011025755,0.00000928892,0.000044888922,0.0013262416,0.13518497,0.7554489,0.000005737808,0.0000032707233,0.0036893394],"study_design_scores_gemma":[0.005256443,0.00034285168,0.5385146,0.0001279722,0.00006514897,0.0013165718,0.0011892327,0.42351478,0.027747173,0.000021062211,0.0012613069,0.0006428324],"about_ca_topic_score_codex":0.000033318105,"about_ca_topic_score_gemma":0.0000046380205,"teacher_disagreement_score":0.7277017,"about_ca_system_score_codex":0.000113201226,"about_ca_system_score_gemma":0.000017297547,"threshold_uncertainty_score":0.29566595},"labels":[],"label_agreement":null},{"id":"W2921102378","doi":"10.1016/j.petrol.2019.03.001","title":"A visualization experimental study on gas penetration through interlayer to improve SAGD performance","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Flue gas; Condensation; Heat transfer; Steam injection; Petroleum engineering; Chemistry; Boiler (water heating); Chemical engineering; Thermodynamics; Waste management; Geology; Organic chemistry; Engineering","score_opus":0.008342459626301967,"score_gpt":0.24103437982394793,"score_spread":0.23269192019764595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921102378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557966,0.0000137921315,0.0035499663,0.000049541082,0.00035037668,0.00008987422,1.4236092e-7,0.0000068733034,0.00035976575],"genre_scores_gemma":[0.9995297,0.000003127689,0.0001801612,0.00007788718,0.000037615613,0.0000043646323,6.2059904e-8,0.0000046831674,0.00016235131],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901223,0.000006864908,0.0001811533,0.00014525698,0.0005086567,0.0001458196],"domain_scores_gemma":[0.9997663,0.000008806076,0.00006244867,0.00007371768,0.00003084359,0.00005787872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043446303,0.00008235878,0.00010293768,0.000095992895,0.00008491115,0.00007860713,0.00013734701,0.000011655462,0.000035839555],"category_scores_gemma":[0.000020327696,0.00006443013,0.000016899548,0.00022367631,0.000028633534,0.0008675801,0.00007865127,0.00006369757,0.00003957715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043271164,0.00020934627,0.07675422,0.0000073669953,0.000012495627,0.0000032977234,0.008554566,0.016832013,0.8921782,0.000053934786,0.000053952484,0.0052973684],"study_design_scores_gemma":[0.0010931748,0.006362417,0.82959896,0.00006804501,0.000016313454,0.00003139068,0.006373597,0.035122667,0.119269535,0.0000025844915,0.0017721743,0.00028916015],"about_ca_topic_score_codex":0.000010991738,"about_ca_topic_score_gemma":0.0000016686823,"teacher_disagreement_score":0.7729086,"about_ca_system_score_codex":0.00017382207,"about_ca_system_score_gemma":0.000009386002,"threshold_uncertainty_score":0.26273844},"labels":[],"label_agreement":null},{"id":"W2921680063","doi":"10.1016/j.petrol.2019.03.015","title":"Influence of proppant fragmentation on fracture conductivity - Insights from three-dimensional discrete element modeling","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Breakage; Comminution; Discrete element method; Conductivity; Materials science; Fracture (geology); Geotechnical engineering; Parametric statistics; Geology; Mechanics; Composite material; Metallurgy; Mathematics","score_opus":0.008440520108216328,"score_gpt":0.21010274996181388,"score_spread":0.20166222985359755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921680063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95546603,0.0002502001,0.04394172,0.000024500352,0.00023851015,0.00005146022,0.00000219461,0.000013180468,0.000012217523],"genre_scores_gemma":[0.9982007,0.00003201344,0.0016763156,0.000021548616,0.00005567673,0.0000011120421,6.0575917e-7,0.00001114518,8.6133196e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988247,0.0000038030107,0.00031400844,0.00012908956,0.00056423346,0.00016417175],"domain_scores_gemma":[0.99953437,0.000026620606,0.00009221007,0.0001072199,0.00014847757,0.00009108749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027327894,0.000120628625,0.00020225545,0.00022041288,0.000047000693,0.000031669195,0.00014365352,0.000038640857,0.000003314746],"category_scores_gemma":[0.000028262915,0.00009512092,0.00003641303,0.00013489055,0.0000132788655,0.0006083999,0.000031717598,0.00023231917,0.0000010199045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064021133,0.0000045593556,0.000062414765,0.000015236594,0.0000099717145,0.0000011642197,0.00008586252,0.6345901,0.36507997,0.000070060356,9.092128e-7,0.000073346026],"study_design_scores_gemma":[0.0002611673,0.00010576764,0.0009871813,0.00020721731,0.000011333814,0.000005047844,0.000047776408,0.9629827,0.035087317,0.00018330371,0.000017436096,0.00010371878],"about_ca_topic_score_codex":0.000017416314,"about_ca_topic_score_gemma":0.00000237573,"teacher_disagreement_score":0.32999265,"about_ca_system_score_codex":0.00008149462,"about_ca_system_score_gemma":0.000054029926,"threshold_uncertainty_score":0.38789186},"labels":[],"label_agreement":null},{"id":"W2937250130","doi":"10.1016/j.petrol.2019.04.032","title":"Organic geochemistry of the Early Cretaceous shales, Saar Formation in the East Shabwah oil fields, onshore Masila Basin of eastern Yemen","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"King Saud University","keywords":"Geology; Cretaceous; Geochemistry; Structural basin; Organic geochemistry; Oil shale; Earth science; Paleontology; Source rock","score_opus":0.006287597197875391,"score_gpt":0.18106758261021144,"score_spread":0.17477998541233605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937250130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814314,0.00028559112,0.00075415394,0.00018604044,0.000092176415,0.000018202913,0.0000012148254,0.0000048889337,0.00051457086],"genre_scores_gemma":[0.99977225,0.000086284126,0.00006168152,0.000011192886,0.000029468816,6.753428e-7,2.5067104e-7,0.0000052979167,0.000032914642],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903464,0.0000109946795,0.00032274882,0.000057817844,0.00043981284,0.00013396605],"domain_scores_gemma":[0.99960256,0.000024645673,0.00010193404,0.00015466804,0.0000778271,0.000038395097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055469247,0.00007768665,0.0001640696,0.00015954515,0.000025033476,0.000033855416,0.00036592936,0.00003902595,0.000013915591],"category_scores_gemma":[0.000058988535,0.00004809255,0.00006136605,0.00046067915,0.000040562,0.0003257749,0.00003222922,0.0002070773,9.721834e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010597544,0.000026423511,0.01455082,0.0003498865,0.000038976355,0.0000067585433,0.0045270594,0.4524856,0.5269834,0.000026372792,0.0000539113,0.000940249],"study_design_scores_gemma":[0.00052118575,0.00008274337,0.02584953,0.00039018787,0.000044231314,0.00011263533,0.0035539013,0.9185525,0.050390646,0.0000145658,0.000318489,0.00016937632],"about_ca_topic_score_codex":0.000006757304,"about_ca_topic_score_gemma":0.00001299739,"teacher_disagreement_score":0.47659272,"about_ca_system_score_codex":0.00003643073,"about_ca_system_score_gemma":0.00003278972,"threshold_uncertainty_score":0.19611572},"labels":[],"label_agreement":null},{"id":"W2937448533","doi":"10.1016/j.petrol.2019.04.016","title":"Applicability of deep neural networks on production forecasting in Bakken shale reservoirs","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Alberta Innovates - Technology Futures","keywords":"Oil shale; Artificial neural network; Tight oil; Petroleum engineering; Geology; Deep learning; Hydraulic fracturing; Reservoir modeling; Normalization (sociology); Computer science; Artificial intelligence","score_opus":0.007168811232038851,"score_gpt":0.19733939522437668,"score_spread":0.19017058399233783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937448533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949922,0.00021292322,0.00406561,0.000065745575,0.00032751137,0.00004079904,1.8655784e-7,0.000015746573,0.0002792987],"genre_scores_gemma":[0.9994622,0.00003067768,0.00036554394,0.0000037657253,0.00012001552,0.0000013566814,1.3591146e-7,0.000009872591,0.0000064521782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888813,0.00000856234,0.00035126117,0.00013690193,0.00036491494,0.0002502165],"domain_scores_gemma":[0.9995379,0.00005587286,0.000077005134,0.00015638433,0.00008441443,0.00008844301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011925944,0.000101971076,0.00024323209,0.000418718,0.000029892532,0.000028555847,0.0002067377,0.000042289845,0.000004969895],"category_scores_gemma":[0.00018005574,0.00008355387,0.000055701912,0.0005766787,0.000047254158,0.0003361276,0.000030307303,0.00033540092,5.0994595e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000958329,0.000010514968,0.006333706,0.00007368747,0.000008464708,0.0000032266491,0.00011350651,0.98427457,0.0069201393,0.0000028451348,0.0000038376083,0.002245913],"study_design_scores_gemma":[0.00014811443,0.00007077395,0.015858361,0.00007656672,0.0000068966,0.000026229778,0.00011811747,0.9818229,0.0017511806,0.000006049578,0.000035306282,0.00007946586],"about_ca_topic_score_codex":0.0000067671353,"about_ca_topic_score_gemma":0.0000056274184,"teacher_disagreement_score":0.0095246555,"about_ca_system_score_codex":0.00010293446,"about_ca_system_score_gemma":0.0000125815495,"threshold_uncertainty_score":0.34072277},"labels":[],"label_agreement":null},{"id":"W2944634042","doi":"10.1016/j.petrol.2019.05.009","title":"Effect of injection parameters on proppant transport in rough vertical fractures: An experimental analysis on visual models","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta","keywords":"Settling; Petroleum engineering; Slurry; Fracture (geology); Hydraulic fracturing; Geotechnical engineering; Viscosity; Geology; Comminution; Volumetric flow rate; Flow (mathematics); Materials science; Fracturing fluid; Mechanics; Composite material; Environmental science; Environmental engineering; Metallurgy","score_opus":0.006045638117959073,"score_gpt":0.24480589014979087,"score_spread":0.2387602520318318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944634042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776244,0.000012678645,0.002016204,0.000015770313,0.00008333529,0.000043792268,2.506437e-7,0.00000339869,0.0000621239],"genre_scores_gemma":[0.9998858,0.0000034192003,0.00007153764,0.000017625747,0.000008116785,0.0000019571758,1.7547791e-7,0.0000031775735,0.000008176987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989495,0.000019222667,0.00020533294,0.00014553418,0.00053483003,0.00014553276],"domain_scores_gemma":[0.99977714,0.00003848286,0.000044878176,0.000063999716,0.000010606688,0.000064917076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006966289,0.00008809778,0.00020946717,0.0002809956,0.000033101725,0.000018083872,0.000102914324,0.000023417077,0.000011156181],"category_scores_gemma":[0.0000148046165,0.00006116602,0.00005389022,0.00038283522,0.00006672765,0.0005576094,0.000015462729,0.00010995878,0.0000015994216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001360265,0.00008136783,0.03789917,0.0000063469283,0.000019091292,0.000005129157,0.0007425267,0.85083646,0.10860899,0.000016363727,4.6702814e-7,0.0016480752],"study_design_scores_gemma":[0.0008246572,0.006070681,0.36228445,0.0000523369,0.00006736789,0.000011836369,0.00036847996,0.4924568,0.13769332,0.0000032338794,0.000013865084,0.00015297675],"about_ca_topic_score_codex":0.000041277806,"about_ca_topic_score_gemma":0.0000054929687,"teacher_disagreement_score":0.35837963,"about_ca_system_score_codex":0.00014545921,"about_ca_system_score_gemma":0.000007849275,"threshold_uncertainty_score":0.2494278},"labels":[],"label_agreement":null},{"id":"W2952133925","doi":"10.1016/j.petrol.2019.106187","title":"Conventional models and artificial intelligence-based models for energy consumption forecasting: A review","year":2019,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":255,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"China Scholarship Council","keywords":"Artificial neural network; Predictive modelling; Mean absolute percentage error; Computer science; Energy consumption; Benchmark (surveying); Model selection; Machine learning; Artificial intelligence; Consumption (sociology); Engineering","score_opus":0.1341996585916335,"score_gpt":0.29777404485135517,"score_spread":0.16357438625972168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952133925","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015016319,0.71414655,0.28512335,0.00000821785,0.0005197707,0.000086683176,0.000012380176,0.00002197379,0.000066035194],"genre_scores_gemma":[0.0019556105,0.9936151,0.004101641,0.000019194402,0.0002272968,0.00002132688,0.0000074752093,0.000043186417,0.000009157284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809617,0.000013069235,0.0008877282,0.00023123143,0.0004102657,0.0003615078],"domain_scores_gemma":[0.9989638,0.00023177436,0.00029798457,0.00012370686,0.0001969519,0.00018580146],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012074247,0.00032741763,0.0010350854,0.0005717448,0.000086678534,0.00012061051,0.00025599162,0.00012491347,0.000005065665],"category_scores_gemma":[0.00009408235,0.00027776384,0.00025491184,0.00029166855,0.00008987357,0.0005949623,0.000037504375,0.00029278095,5.1997944e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030963458,0.0000069113175,1.3212144e-7,0.027883995,0.00004740933,0.0000042484107,0.000011393145,0.49713585,0.000012026987,0.0051118676,0.00004712174,0.46973595],"study_design_scores_gemma":[0.000065663946,0.0000667722,5.2367188e-8,0.032955244,0.00027826126,0.00022381576,0.0000033073266,0.8913225,0.000010203228,0.00037739667,0.07443483,0.00026197912],"about_ca_topic_score_codex":9.613591e-7,"about_ca_topic_score_gemma":5.727715e-7,"teacher_disagreement_score":0.46947396,"about_ca_system_score_codex":0.0001319468,"about_ca_system_score_gemma":0.0002511876,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W2955772465","doi":"10.1016/j.petrol.2019.106234","title":"Impact of un-propped fracture conductivity on produced gas huff-n-puff performance in Montney liquid rich tight reservoirs","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Tight gas; Hydraulic fracturing; Fracture (geology); Tight oil; Petroleum engineering; Geology; Well stimulation; Hydraulic conductivity; Reservoir simulation; Geotechnical engineering; Petrology; Reservoir engineering; Petroleum; Soil science; Soil water","score_opus":0.0056954107307128155,"score_gpt":0.2187018567350336,"score_spread":0.21300644600432078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955772465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886894,0.00026276053,0.00013996022,0.00013404198,0.00022556921,0.000057725636,0.0000012617447,0.000023781564,0.00028598178],"genre_scores_gemma":[0.9995076,0.00021351554,0.00013184918,0.000008398756,0.000094938645,0.0000015195118,3.8319058e-7,0.000019088235,0.000022718878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832636,0.000016569926,0.00043033343,0.0001977428,0.0006309494,0.00039802733],"domain_scores_gemma":[0.9992034,0.000053206255,0.00013249481,0.00027553612,0.00016289765,0.00017246003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011709695,0.00020509964,0.00043904516,0.0008209193,0.000048763533,0.000045700697,0.0003592555,0.000081568636,0.000027972274],"category_scores_gemma":[0.00017567356,0.00014717794,0.00011418572,0.0008118675,0.00005773777,0.0007127577,0.000039355265,0.0006068467,0.0000038536336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005556539,0.000031760257,0.009266711,0.00009556249,0.000045312347,0.000009218528,0.00024675,0.8816885,0.10837901,9.599008e-7,0.000020266094,0.00016043498],"study_design_scores_gemma":[0.00090726616,0.0012060547,0.19238886,0.00041807306,0.000033195276,0.000070993585,0.00007496768,0.67609143,0.12818143,0.000004937032,0.0002753548,0.00034744808],"about_ca_topic_score_codex":0.000022972727,"about_ca_topic_score_gemma":0.0000023436148,"teacher_disagreement_score":0.20559704,"about_ca_system_score_codex":0.0002286913,"about_ca_system_score_gemma":0.000112551505,"threshold_uncertainty_score":0.60017425},"labels":[],"label_agreement":null},{"id":"W2962036248","doi":"10.1016/j.petrol.2019.106243","title":"Characterization of unique natural gas flow in fracture-vuggy carbonate reservoir: A case study on Dengying carbonate reservoir in China","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Major Science and Technology Projects of China; Natural Sciences and Engineering Research Council of Canada; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation; Ministry of Science and Technology of the People's Republic of China","keywords":"Carbonate; Geology; Petrophysics; Permeability (electromagnetism); Outcrop; Carbonate rock; Petrology; Natural gas; Petroleum engineering; Porosity; Mineralogy; Geotechnical engineering; Geomorphology; Sedimentary rock; Geochemistry; Chemistry","score_opus":0.006359912909189184,"score_gpt":0.22151823689601344,"score_spread":0.21515832398682425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962036248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989919,0.00014217907,0.00015084376,0.00012917406,0.00031586678,0.00012879612,0.0000014488297,0.000022719916,0.00011705453],"genre_scores_gemma":[0.99968123,0.00010434409,0.000108510976,0.000013344473,0.000051075007,0.000004891604,0.000001227453,0.000023201184,0.000012160226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980936,0.000051244508,0.00065926457,0.00020924093,0.0006467346,0.00033989587],"domain_scores_gemma":[0.9993602,0.000054602675,0.00014232527,0.00022110583,0.0001241531,0.00009760707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015026956,0.00020435164,0.00044895755,0.0017243802,0.00003974271,0.000071642426,0.0002905541,0.00007341831,0.0000046318864],"category_scores_gemma":[0.00013682863,0.00017550334,0.00006748597,0.0013828735,0.000035806926,0.00077744405,0.00005281215,0.00067294075,7.283802e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002423933,0.00004342085,0.008414238,0.000053833748,0.000021302398,0.00047735113,0.0023889334,0.85382175,0.13467729,0.000006268643,8.0928356e-7,0.00007058025],"study_design_scores_gemma":[0.00081929937,0.00016629258,0.03427266,0.00020446614,0.000013126125,0.00017824852,0.0012077631,0.9592795,0.0036361602,0.000009239704,0.00003056074,0.00018271063],"about_ca_topic_score_codex":0.00016021589,"about_ca_topic_score_gemma":0.00020842455,"teacher_disagreement_score":0.13104114,"about_ca_system_score_codex":0.00024006734,"about_ca_system_score_gemma":0.00008184843,"threshold_uncertainty_score":0.7156819},"labels":[],"label_agreement":null},{"id":"W2968682637","doi":"10.1016/j.petrol.2019.106384","title":"Study on salt precipitation induced by formation brine flow and its effect on a high-salinity tight gas reservoir","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Dissolution; Porosity; Permeability (electromagnetism); Salinity; Brine; Geology; Mineralogy; Chemistry; Geotechnical engineering","score_opus":0.010359633590493194,"score_gpt":0.23303929380576552,"score_spread":0.22267966021527233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968682637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872935,0.00007980539,0.00051823375,0.00012038864,0.0002888854,0.00011320325,0.0000015453347,0.000035295852,0.00011332131],"genre_scores_gemma":[0.99977773,0.00005714769,0.000046051777,0.000017841603,0.00006757221,0.000004286154,0.0000013714777,0.000012852787,0.000015125433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874574,0.00003098112,0.00030003063,0.00013444711,0.0005993279,0.00018947104],"domain_scores_gemma":[0.9994735,0.00008707879,0.000077507124,0.000112965536,0.000101980695,0.00014694592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011261214,0.00014230418,0.00023972154,0.00051001925,0.00007276435,0.0001143082,0.00013856654,0.000038114533,0.0000045196516],"category_scores_gemma":[0.00016459005,0.00011042502,0.00003404551,0.0004304708,0.000011275174,0.0008534116,0.000022448663,0.00027148382,0.000009348593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005642992,0.000060675156,0.0005506428,0.00009061015,0.000053876047,0.000007375143,0.0010414192,0.662245,0.33484983,0.00003240408,0.000091686685,0.0009200893],"study_design_scores_gemma":[0.0011615858,0.0019866896,0.0092033185,0.000119571756,0.000032041018,0.000013036817,0.0002106321,0.9489848,0.037991334,0.000006818391,0.00011243,0.00017772328],"about_ca_topic_score_codex":0.0000029196658,"about_ca_topic_score_gemma":0.0000028129696,"teacher_disagreement_score":0.2968585,"about_ca_system_score_codex":0.00010328095,"about_ca_system_score_gemma":0.000017475873,"threshold_uncertainty_score":0.45030016},"labels":[],"label_agreement":null},{"id":"W2970790417","doi":"10.1016/j.petrol.2019.106417","title":"Plug and abandonment practices and trends: A British Columbia perspective","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abandonment (legal); Geology; Stock (firearms); Petroleum engineering; Archaeology; Geography; Political science","score_opus":0.0036884652752144126,"score_gpt":0.19050898367693042,"score_spread":0.186820518401716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970790417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445266,0.003710686,0.0007129092,0.00004554914,0.0003596848,0.00002510134,0.0000015257665,0.00004029443,0.00065159256],"genre_scores_gemma":[0.99756086,0.0012495369,0.0009512866,0.000008035424,0.000092567214,0.0000010622393,7.539136e-8,0.000015494732,0.0001210571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913913,0.000003333799,0.00018939654,0.00014741703,0.00028280864,0.00023791713],"domain_scores_gemma":[0.99955994,0.000049357244,0.00008118519,0.000068455505,0.00007099277,0.00017009059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005405529,0.00009657477,0.0002041964,0.00019171901,0.000063261665,0.0004909608,0.00009433813,0.000034446704,0.000010554749],"category_scores_gemma":[0.000096570715,0.00012181326,0.000023615537,0.00022051149,0.000059514507,0.0007182389,0.000034174966,0.00022012365,6.678266e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025493546,0.000061448525,0.044443596,0.0007105041,0.00029057675,0.00020007069,0.0043771476,0.7481145,0.15306875,0.00035000406,0.00073847413,0.047619414],"study_design_scores_gemma":[0.001282099,0.00029588232,0.16187385,0.00047624612,0.00006415927,0.002048222,0.001137949,0.82473886,0.0005051555,0.000042146607,0.0070411693,0.00049426337],"about_ca_topic_score_codex":0.00020683266,"about_ca_topic_score_gemma":0.00006180796,"teacher_disagreement_score":0.1525636,"about_ca_system_score_codex":0.00008692012,"about_ca_system_score_gemma":0.000018715642,"threshold_uncertainty_score":0.49674007},"labels":[],"label_agreement":null},{"id":"W2977179245","doi":"10.1016/j.petrol.2019.106505","title":"Analytical modeling of methane hydrate dissociation under thermal stimulation","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Dissociation (chemistry); Hydrate; Heat transfer; Clathrate hydrate; Thermodynamics; Porosity; Chemistry; Porous medium; Mass transfer; Thermal; Mechanics; Petroleum engineering; Geology; Physical chemistry; Chromatography; Physics","score_opus":0.008278710466028854,"score_gpt":0.21665116937960802,"score_spread":0.20837245891357917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977179245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994182,0.000058080182,0.0046231537,0.00007191997,0.00013579136,0.000024473871,2.3363893e-7,0.000003402595,0.0009009817],"genre_scores_gemma":[0.9991106,0.00001908426,0.0007791601,0.000011710913,0.000025684121,1.5099135e-7,1.4905983e-7,0.0000045098054,0.000048990296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899226,0.000011000105,0.00025657832,0.0000963377,0.0004857168,0.00015810826],"domain_scores_gemma":[0.99964637,0.000032759963,0.0001331227,0.00006513371,0.000034955454,0.00008766763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123432,0.000065362095,0.00014518129,0.00011092356,0.000027062164,0.000020892388,0.0001227621,0.00003293167,0.000093899114],"category_scores_gemma":[0.000048016453,0.000048386588,0.00003594118,0.00030890285,0.000050506893,0.00047503613,0.000045244393,0.0001311606,0.000006874027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065427157,0.0000082063825,0.0055289124,0.000004187862,0.000006495276,4.956216e-7,0.00010613094,0.80535644,0.18865508,0.00009939986,6.587894e-7,0.00022743484],"study_design_scores_gemma":[0.00021095188,0.00007728947,0.021205334,0.00002054035,0.000016951995,0.000006239663,0.00006804559,0.97698575,0.0012487808,0.000087500106,0.000013712881,0.000058898175],"about_ca_topic_score_codex":0.000013305888,"about_ca_topic_score_gemma":3.16052e-7,"teacher_disagreement_score":0.1874063,"about_ca_system_score_codex":0.00009386831,"about_ca_system_score_gemma":0.000021839882,"threshold_uncertainty_score":0.19731477},"labels":[],"label_agreement":null},{"id":"W2980141913","doi":"10.1016/j.petrol.2019.106569","title":"Enhanced thermal conductivity and reduced viscosity of aegirine-based VR/VGO nanofluids for enhanced thermal oil recovery application","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanofluid; Materials science; Asphalt; Thermal conductivity; Chemical engineering; Asphaltene; Nanoparticle; Enhanced oil recovery; Viscosity; Composite material; Nanotechnology","score_opus":0.005019832101708264,"score_gpt":0.2122143768064835,"score_spread":0.20719454470477525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980141913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8857423,0.00024219701,0.11293754,0.000022186496,0.00032714583,0.00009257855,0.0000050771177,0.000062247025,0.00056873943],"genre_scores_gemma":[0.9929578,0.00013084366,0.0067435033,0.00001350371,0.000083604995,0.000018732044,7.357968e-7,0.000027068545,0.00002421166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998696,0.000011179078,0.0004083757,0.00021937297,0.00035025674,0.00031476424],"domain_scores_gemma":[0.999115,0.00013816777,0.00017831956,0.00020399503,0.0002493519,0.000115195595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091836695,0.00019799713,0.0003819495,0.00031786028,0.000054017066,0.000051208364,0.0002555025,0.00008694307,0.000005008537],"category_scores_gemma":[0.00012255118,0.0001830525,0.000085273874,0.00028277974,0.00010522605,0.00085507653,0.000035943045,0.0002151675,7.178533e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005736804,0.000016131238,0.000043031596,0.00019809365,0.000017755201,3.505293e-7,0.000065864566,0.065847225,0.9155488,0.000042597752,0.00000441686,0.018158374],"study_design_scores_gemma":[0.00048368744,0.00029340977,0.0024493085,0.00016833247,0.000017698529,0.000008002096,0.000028631597,0.05851013,0.93773586,0.000019669564,0.000095318384,0.00018998454],"about_ca_topic_score_codex":0.000004511639,"about_ca_topic_score_gemma":0.0000011068032,"teacher_disagreement_score":0.10721551,"about_ca_system_score_codex":0.00014142624,"about_ca_system_score_gemma":0.000104982435,"threshold_uncertainty_score":0.74646646},"labels":[],"label_agreement":null},{"id":"W2981057143","doi":"10.1016/j.petrol.2019.106591","title":"Ultrasonic technique for tracking oil-water emulsion layer in separation vessels","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited","keywords":"Emulsion; Ultrasonic sensor; Materials science; Phase (matter); Aqueous two-phase system; Attenuation; Layer (electronics); Petroleum; Environmental science; Acoustics; Composite material; Analytical Chemistry (journal); Chromatography; Chemical engineering; Chemistry; Optics","score_opus":0.007385151405040939,"score_gpt":0.25892190417084315,"score_spread":0.25153675276580223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981057143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952638,0.000049140606,0.004067161,0.00009220449,0.00010535754,0.000016714146,8.360957e-7,0.000005012642,0.0003997532],"genre_scores_gemma":[0.99870676,0.00003695985,0.0009741931,0.000010866924,0.00005192066,0.000006319318,4.3871557e-7,0.0000060799816,0.00020644208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993811,0.0000015172919,0.00019173473,0.000082414,0.00016524176,0.00017799136],"domain_scores_gemma":[0.9996998,0.000039662584,0.000057730937,0.000053922053,0.000108838714,0.000040067887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718029,0.000058342997,0.000099084136,0.00017039737,0.00004285243,0.00007565764,0.000095409734,0.000029074767,0.00002052297],"category_scores_gemma":[0.000055191726,0.00004503784,0.000030146413,0.00010318821,0.000010972722,0.00046777632,0.0000092491055,0.00015725725,9.716293e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094760135,0.000011207838,0.00034337884,0.00003718479,0.0000026080143,0.0000010333554,0.00011898679,0.007144467,0.9919005,0.00005899502,0.000008914567,0.00036325725],"study_design_scores_gemma":[0.00024614556,0.00006515685,0.0002846638,0.00013983843,0.0000047237822,0.00006546233,0.00009606486,0.028989414,0.9682105,0.000034280074,0.0017934521,0.00007030256],"about_ca_topic_score_codex":0.0000018976096,"about_ca_topic_score_gemma":0.0000013710395,"teacher_disagreement_score":0.023689995,"about_ca_system_score_codex":0.00010753445,"about_ca_system_score_gemma":0.000038235747,"threshold_uncertainty_score":0.18365897},"labels":[],"label_agreement":null},{"id":"W2981357548","doi":"10.1016/j.petrol.2019.106600","title":"Understanding the performance of hydraulically fractured wells in the laumontite-rich tight glutenite formation","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Geomechanica (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; PetroChina Company Limited","keywords":"Geology; Hydraulic fracturing; Permeability (electromagnetism); Petroleum engineering; Geotechnical engineering; Compaction; Petrophysics; Borehole; Geomechanics; Petrology; Porosity","score_opus":0.009532649569212497,"score_gpt":0.19046346772486503,"score_spread":0.18093081815565254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981357548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98851025,0.00035213464,0.009765619,0.0004136956,0.00017378753,0.000039504223,3.4012115e-7,0.000009144334,0.0007354959],"genre_scores_gemma":[0.99948865,0.00025143602,0.00014046684,0.000046625344,0.00005461819,8.1699926e-7,1.7268268e-7,0.0000062518393,0.0000109447055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988746,0.000012490305,0.0003147124,0.00006474742,0.00052670867,0.00020673443],"domain_scores_gemma":[0.9995724,0.00009541181,0.000089405956,0.00014412064,0.000055043663,0.00004363807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013749806,0.00009343101,0.0001710163,0.00033325324,0.00006789912,0.00007936876,0.00039283134,0.00003562254,0.0000060332713],"category_scores_gemma":[0.000043439348,0.00004977646,0.000050444167,0.0006094165,0.000054238262,0.0006387613,0.000022296734,0.0003247055,0.0000021251726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041906296,0.0000051392462,0.0013814814,0.000061009803,0.00001243663,0.000002428863,0.0009326701,0.98492116,0.012491489,0.000019154906,0.000053887354,0.00011496273],"study_design_scores_gemma":[0.00021972437,0.00006703569,0.022738403,0.00011784271,0.000019119929,0.000054598346,0.00047937167,0.9713655,0.0033012067,0.000011315528,0.001539477,0.000086389526],"about_ca_topic_score_codex":0.000003896384,"about_ca_topic_score_gemma":0.0000026682776,"teacher_disagreement_score":0.021356922,"about_ca_system_score_codex":0.00010208017,"about_ca_system_score_gemma":0.000025051628,"threshold_uncertainty_score":0.20298252},"labels":[],"label_agreement":null},{"id":"W2981645445","doi":"10.1016/j.petrol.2019.106608","title":"A set of graphical design criteria for slotted liners in steam assisted gravity drainage production wells","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Set (abstract data type); Drainage; Production (economics); Engineering; Geology; Environmental science; Computer science; Materials science","score_opus":0.014120339479619453,"score_gpt":0.23746336330046813,"score_spread":0.22334302382084867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981645445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297715,0.00022371642,0.068687804,0.000056628836,0.0010573872,0.00011752046,0.0000024759518,0.00004077135,0.00004223694],"genre_scores_gemma":[0.9936328,0.000058892743,0.0061471267,0.0000037253512,0.00011988362,0.0000035975163,5.094922e-7,0.000020805614,0.000012666425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988078,0.000010613162,0.00042325378,0.00014941154,0.0003075815,0.00030132933],"domain_scores_gemma":[0.9994674,0.000080327765,0.000078521836,0.00012406774,0.00014364692,0.00010607063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017596083,0.00014517696,0.00031572682,0.0007265695,0.00002588041,0.000040037503,0.00018430314,0.00006107622,0.000001806733],"category_scores_gemma":[0.00021312507,0.00013603289,0.00006436719,0.0006445546,0.000048919024,0.0004199558,0.00001667259,0.00023085048,5.313168e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015940623,0.000007225853,0.00019560543,0.0001783541,0.000011169915,0.000002390592,0.00015468984,0.6422372,0.3566667,0.00004041196,0.00003092277,0.00045937992],"study_design_scores_gemma":[0.00062571827,0.00020624125,0.008579867,0.0003393225,0.000019476536,0.000070873226,0.00014816815,0.96674824,0.022487912,0.000052972908,0.00051640725,0.00020479187],"about_ca_topic_score_codex":0.0000030030253,"about_ca_topic_score_gemma":5.873399e-7,"teacher_disagreement_score":0.3341788,"about_ca_system_score_codex":0.00008974825,"about_ca_system_score_gemma":0.000046041372,"threshold_uncertainty_score":0.554726},"labels":[],"label_agreement":null},{"id":"W2985713859","doi":"10.1016/j.petrol.2019.106666","title":"An evaluation of empirical and rock physics models to estimate shear wave velocity in a potential shale gas reservoir using wireline logs","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of Engineering and Technology, Peshawar","keywords":"Petrophysics; Oil shale; Geology; Wireline; Shear (geology); Mineralogy; Reservoir modeling; Well logging; Consolidation (business); Formation evaluation; Empirical modelling; Geotechnical engineering; Petrology; Geophysics; Porosity","score_opus":0.04462972554865416,"score_gpt":0.29597570714442134,"score_spread":0.25134598159576715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985713859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787296,0.000107190914,0.02087272,0.000113185575,0.000094861025,0.00004101617,0.0000019025395,0.0000060946563,0.000033423148],"genre_scores_gemma":[0.9885707,0.000016141306,0.011318352,0.000052618536,0.00003833668,8.422293e-8,5.663625e-7,0.0000019364518,0.0000012811464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891275,0.000022161566,0.000204998,0.0001275366,0.00056795403,0.0001645803],"domain_scores_gemma":[0.99953103,0.00001887537,0.00007321173,0.00007410929,0.00018814596,0.00011465355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019316996,0.000067495246,0.0001494148,0.00023480102,0.000044387074,0.000045610544,0.00011439185,0.000025238669,0.000010263219],"category_scores_gemma":[0.000054083986,0.00005617493,0.000017524208,0.00027354533,0.00003079593,0.00085342326,0.000017073553,0.00012146945,5.457732e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016267206,0.000007683458,0.012572603,0.000011675665,0.000001608912,0.0000023837115,0.00023846948,0.9731499,0.008631683,0.0000032240343,0.000010034043,0.0053544766],"study_design_scores_gemma":[0.0002065217,0.00017590751,0.026583219,0.00007487604,0.00000939823,0.000051827148,0.00012264615,0.9711087,0.0013479344,0.00024886732,0.000006778526,0.00006337249],"about_ca_topic_score_codex":0.00029299065,"about_ca_topic_score_gemma":0.00000312692,"teacher_disagreement_score":0.014010616,"about_ca_system_score_codex":0.000022496813,"about_ca_system_score_gemma":0.00012236311,"threshold_uncertainty_score":0.22907472},"labels":[],"label_agreement":null},{"id":"W2995279059","doi":"10.1016/j.petrol.2019.106835","title":"Modeling of ex-situ dissolution for geologic sequestration of carbon dioxide in aquifers","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolution; Aquifer; Carbon sequestration; Carbon dioxide; Greenhouse gas; Environmental science; Petroleum engineering; Brine; Carbon capture and storage (timeline); Pipeline transport; Environmental engineering; Waste management; Groundwater; Geology; Chemical engineering; Geotechnical engineering; Chemistry; Engineering; Climate change","score_opus":0.009789252647369148,"score_gpt":0.22780014555637096,"score_spread":0.2180108929090018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995279059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920532,0.00002028897,0.0069062854,0.0000862137,0.00013645084,0.00004555376,3.830974e-7,0.0000024692267,0.00074916903],"genre_scores_gemma":[0.9987041,0.000018716872,0.0012362769,0.000005724089,0.000012472272,8.9177973e-7,1.9533255e-7,0.0000016219974,0.000020039683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993276,0.0000060719976,0.00027162101,0.000078917124,0.00020335043,0.00011241001],"domain_scores_gemma":[0.9997359,0.000025649271,0.00011210822,0.000051054878,0.000041969364,0.00003333426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065771485,0.00004753046,0.00011406979,0.00013167883,0.000015859148,0.000006713183,0.00009010209,0.0000250232,0.000012660163],"category_scores_gemma":[0.00011049092,0.000040181923,0.000027639782,0.00016917489,0.000058727906,0.00036302448,0.000021325903,0.00007478455,3.830445e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000096774575,0.000009250954,0.009478043,0.0000074244385,9.832256e-7,3.2359978e-7,0.0000901429,0.5740716,0.4161069,0.00014499712,4.7350704e-7,0.00008021758],"study_design_scores_gemma":[0.00020590414,0.00021708825,0.040811524,0.000044091383,0.0000052573946,0.00001643578,0.00024525577,0.9478915,0.010353663,0.00014118968,0.000016914739,0.000051219697],"about_ca_topic_score_codex":0.00009743621,"about_ca_topic_score_gemma":0.00003537034,"teacher_disagreement_score":0.40575323,"about_ca_system_score_codex":0.0000959498,"about_ca_system_score_gemma":0.00003058117,"threshold_uncertainty_score":0.16385713},"labels":[],"label_agreement":null},{"id":"W2995302341","doi":"10.1016/j.petrol.2019.106795","title":"A critical review of the possible effects of physical and chemical properties of subcritical water on the performance of water-based drilling fluids designed for ultra-high temperature and ultra-high pressure drilling applications","year":2019,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation","keywords":"Drilling fluid; Rheology; Petroleum engineering; Drilling; Properties of water; Geothermal gradient; Materials science; Supercritical fluid; High pressure; Solubility; Polymer; Chemical engineering; Environmental science; Geology; Chemistry; Composite material; Thermodynamics; Organic chemistry; Metallurgy","score_opus":0.012909460090148626,"score_gpt":0.22903169641308238,"score_spread":0.21612223632293376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995302341","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3430923,0.6552611,0.00069796684,0.0001668732,0.00014060708,0.00059598393,0.00002652109,0.000012323228,0.000006322684],"genre_scores_gemma":[0.7880052,0.21156602,0.00026639304,0.000015621168,0.000078655474,0.00004157783,0.000001134416,0.00002365953,0.0000017531769],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980999,0.0000387679,0.0007557066,0.00022007733,0.00051611394,0.0003693864],"domain_scores_gemma":[0.9982277,0.00090766384,0.000045502005,0.00021683334,0.00047959658,0.00012266962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007188472,0.00029993895,0.001289218,0.00013887396,0.00008082384,0.000042880114,0.00038112735,0.00013242051,0.0000016267115],"category_scores_gemma":[0.0006477112,0.00013172805,0.00021000806,0.00022437525,0.0006710074,0.00021907187,0.00003956834,0.00041905322,1.354813e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013452012,0.00005520289,0.0000038776,0.2837603,0.00005603102,5.8424325e-7,0.00010361212,0.00059156603,0.71318287,0.00059789116,0.0000016558175,0.0016329383],"study_design_scores_gemma":[0.0002079439,0.00032165344,0.0000043760797,0.06070028,0.00068244117,0.000040362727,0.00001801759,0.004125549,0.93312144,0.000027752485,0.00055296835,0.00019723705],"about_ca_topic_score_codex":0.0000010377812,"about_ca_topic_score_gemma":2.3932092e-8,"teacher_disagreement_score":0.4449129,"about_ca_system_score_codex":0.000020591655,"about_ca_system_score_gemma":0.000085458414,"threshold_uncertainty_score":0.5371714},"labels":[],"label_agreement":null},{"id":"W2995440822","doi":"10.1016/j.petrol.2019.106805","title":"Determination of an infill well placement using a data-driven multi-modal convolutional neural network","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Korea Institute of Geoscience and Mineral Resources; Ministry of Trade, Industry and Energy; Ewha Womans University; Computer Modelling Group; National Research Foundation of Korea; Korea Gas Corporation; Ministry of Science and Technology","keywords":"Convolutional neural network; Computer science; Artificial neural network; Modal; Feed forward; Infill; Feature (linguistics); Artificial intelligence; Algorithm; Pattern recognition (psychology); Engineering; Structural engineering; Control engineering","score_opus":0.017660978586879223,"score_gpt":0.2398608259998425,"score_spread":0.22219984741296325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995440822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88641816,0.00025220928,0.11231133,0.000004443581,0.00089639,0.000040729756,0.0000049835016,0.000031848438,0.00003991151],"genre_scores_gemma":[0.9636489,0.000030670944,0.036097948,0.000004774125,0.0001920804,3.958719e-7,0.0000022772756,0.000017548604,0.000005374805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875283,0.000006772258,0.00037350645,0.0001441147,0.00042543915,0.00029732965],"domain_scores_gemma":[0.9994003,0.000036826026,0.000100216974,0.00019936629,0.00012260495,0.00014069544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076119945,0.00013689368,0.0002310672,0.00028140427,0.00004571205,0.000052635987,0.00035599867,0.000042950353,0.000007011144],"category_scores_gemma":[0.00003690894,0.00013208964,0.000032879994,0.00027178822,0.000047165904,0.001070159,0.000073406685,0.00020114523,0.00000126106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005127379,0.00000909299,0.0007508627,0.0000596111,0.000010302438,0.0000037961627,0.000057241283,0.9391105,0.059495755,0.000020126849,0.0000050995845,0.00047245578],"study_design_scores_gemma":[0.00041638734,0.00009815503,0.0025427435,0.00011468395,0.00001863138,0.000104360726,0.000045607347,0.99549985,0.00078642514,0.0000019269473,0.00023198024,0.00013926484],"about_ca_topic_score_codex":0.0000044262083,"about_ca_topic_score_gemma":0.000001158525,"teacher_disagreement_score":0.07723078,"about_ca_system_score_codex":0.00010398015,"about_ca_system_score_gemma":0.000059120797,"threshold_uncertainty_score":0.5386459},"labels":[],"label_agreement":null},{"id":"W2998006836","doi":"10.1016/j.petrol.2019.106897","title":"Heavy-oil recovery improvement by additives to steam injection: Identifying underlying mechanisms and chemical selection through visual experiments","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual oil; Chemistry; Steam injection; Enhanced oil recovery; Oil sands; Petroleum engineering; Surface tension; Chemical engineering; API gravity; Materials science; Organic chemistry; Petroleum; Thermodynamics; Composite material; Geology","score_opus":0.01676062723537015,"score_gpt":0.2676800874374379,"score_spread":0.25091946020206773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998006836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73267823,0.0003955058,0.26626384,0.00008774198,0.0003130787,0.000036090725,0.0000022572513,0.00011544387,0.000107799526],"genre_scores_gemma":[0.98196745,0.0003614184,0.01740607,0.00011592492,0.000107969914,0.0000089116265,4.2602977e-7,0.000023455796,0.000008348042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988044,0.0000046647046,0.0003044757,0.0002015693,0.00040851824,0.00027639687],"domain_scores_gemma":[0.99957407,0.000025492429,0.00006575214,0.000044049993,0.00008230804,0.0002083392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028978635,0.00016175861,0.00020950039,0.00016506178,0.0000912677,0.0001674762,0.00012666355,0.00005193282,0.0000061966334],"category_scores_gemma":[0.00008401686,0.00016645544,0.00003589591,0.00039233637,0.000030765073,0.0012762061,0.00006446265,0.00023814673,8.377508e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016838101,0.000008087909,0.000006674774,0.00005799252,0.000018922225,0.0000021028322,0.0003567835,0.009733896,0.98001504,0.000023758976,0.00019504226,0.009564868],"study_design_scores_gemma":[0.00022518213,0.00066028885,0.000058506128,0.00016009314,0.000011927918,0.00006439946,0.0005605048,0.040701132,0.9568369,0.000053260857,0.0004542468,0.00021359259],"about_ca_topic_score_codex":0.0000042688985,"about_ca_topic_score_gemma":3.8789207e-7,"teacher_disagreement_score":0.24928924,"about_ca_system_score_codex":0.00027188988,"about_ca_system_score_gemma":0.000033232962,"threshold_uncertainty_score":0.67878556},"labels":[],"label_agreement":null},{"id":"W3008168869","doi":"10.1016/j.petrol.2020.107077","title":"Generalized models for predicting the drag coefficient and settling velocity of rigid spheres in viscoelastic and viscoinelastic power-law fluids","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Settling; Viscoelasticity; Mechanics; Drag coefficient; Drag; Newtonian fluid; Non-Newtonian fluid; Reynolds number; Materials science; Classical mechanics; Physics; Thermodynamics; Turbulence","score_opus":0.009577996067984033,"score_gpt":0.2019636467381353,"score_spread":0.19238565067015126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008168869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8165654,0.0016537607,0.18145172,0.00008297848,0.00014589877,0.00006186074,0.000004607573,0.000015383146,0.00001841567],"genre_scores_gemma":[0.9957118,0.0000933625,0.0040852004,0.000028598812,0.00006387189,0.00000236796,1.8272964e-7,0.000014307109,2.8259697e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989538,0.000008451809,0.00037584818,0.00013171331,0.0002780329,0.00025212654],"domain_scores_gemma":[0.99952245,0.00013313223,0.000055824978,0.00006069698,0.00007951839,0.00014837456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000539357,0.00013551705,0.0002719113,0.00012196267,0.000091124624,0.00008404939,0.0001474928,0.000037076934,0.0000010255113],"category_scores_gemma":[0.00016410858,0.00010121548,0.00003710764,0.00026122856,0.00014709194,0.0003374353,0.000050127426,0.00019062575,5.283359e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002548718,0.0000065010477,0.00029115888,0.00016427856,0.000016160297,0.0000043017576,0.000991685,0.7258908,0.27140138,0.0009428857,0.000009438696,0.00025594083],"study_design_scores_gemma":[0.00072551105,0.000151614,0.0004048906,0.00012795457,0.000027367023,0.000042223262,0.00038511696,0.9924203,0.0054987925,0.000055056174,0.000059054848,0.00010211627],"about_ca_topic_score_codex":0.000006999665,"about_ca_topic_score_gemma":0.000003092423,"teacher_disagreement_score":0.2665295,"about_ca_system_score_codex":0.000030880085,"about_ca_system_score_gemma":0.000037835285,"threshold_uncertainty_score":0.41274476},"labels":[],"label_agreement":null},{"id":"W3009763538","doi":"10.1016/j.petrol.2020.107133","title":"On the magnitude of capillary pressure (suction potential) in tight rocks","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Capillary pressure; Suction; Capillary action; Imbibition; Geology; Geotechnical engineering; Hydraulic fracturing; Porosity; Porous medium; Materials science; Composite material; Thermodynamics","score_opus":0.004390643499556278,"score_gpt":0.17376564281172593,"score_spread":0.16937499931216965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009763538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929391,0.0009501743,0.0049570836,0.0007526273,0.00015598358,0.000018539005,5.253922e-7,0.000013798218,0.00021217842],"genre_scores_gemma":[0.9995312,0.00021932092,0.000107833104,0.00003137982,0.00009489899,4.975414e-7,6.028085e-8,0.0000065278314,0.000008291922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992033,0.0000073063306,0.00021948213,0.000070209695,0.00035908187,0.00014060087],"domain_scores_gemma":[0.9997051,0.000030026533,0.000048050126,0.00007111822,0.000059267473,0.00008646144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037494302,0.00007662429,0.00015281595,0.00020441251,0.00003592609,0.000030487658,0.00020037535,0.000029182882,0.000009307757],"category_scores_gemma":[0.0001298177,0.00005004957,0.000047388952,0.00035527154,0.00003782188,0.00018267987,0.000021266553,0.00026248337,8.7459273e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004794769,0.0000046912264,0.00012901485,0.000045841334,0.000020581921,0.000011852434,0.00021966302,0.95956296,0.03968334,0.00001037677,0.0001046602,0.00020224563],"study_design_scores_gemma":[0.00016723645,0.00007553793,0.0052722828,0.00008065933,0.000030234489,0.00002465301,0.00011475062,0.9773311,0.015748229,0.0000118836315,0.0010641748,0.000079255915],"about_ca_topic_score_codex":0.000009771812,"about_ca_topic_score_gemma":0.0000012090221,"teacher_disagreement_score":0.023935111,"about_ca_system_score_codex":0.000022615253,"about_ca_system_score_gemma":0.000021526797,"threshold_uncertainty_score":0.20409623},"labels":[],"label_agreement":null},{"id":"W3015242920","doi":"10.1016/j.petrol.2020.107254","title":"Experimental study on the formation damage caused by gas fracturing fluids","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shell United States; CMG Reservoir Simulation Foundation","keywords":"Dissolution; Clearance; Hydraulic fracturing; Petroleum engineering; Permeability (electromagnetism); Saturation (graph theory); Fracturing fluid; Relative permeability; Fluid dynamics; Geology; Petrology; Chemistry; Geotechnical engineering; Porosity; Mechanics","score_opus":0.010704645002352645,"score_gpt":0.21849894450129403,"score_spread":0.2077942994989414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015242920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243575,0.00025527654,0.006290681,0.0006355869,0.00012164965,0.00003909741,7.243097e-7,0.00003910353,0.00018211224],"genre_scores_gemma":[0.999697,0.000023432633,0.000046445555,0.0000847952,0.00013029003,0.0000020695265,1.7740297e-7,0.000011708478,0.0000040493064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989232,0.000010904367,0.00024721678,0.00009224841,0.00052432955,0.00020210531],"domain_scores_gemma":[0.9996014,0.000044642584,0.000046963098,0.00010099174,0.00004003302,0.00016592057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005169644,0.00012064028,0.00015969694,0.00014414366,0.00013382538,0.00014418236,0.0002740223,0.000022250462,0.0000105182335],"category_scores_gemma":[0.00009463553,0.00007864886,0.00004729821,0.00028923608,0.000034811943,0.0005056832,0.000033460426,0.00029231812,0.0000035144137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048563775,0.00003183276,0.00008271142,0.000015145689,0.00003384338,0.000016369648,0.0025901005,0.6495463,0.34680983,0.0000029096125,0.0007368007,0.00012925819],"study_design_scores_gemma":[0.00035016672,0.0003670417,0.0013794373,0.000036153877,0.000023922274,0.000012181952,0.0032359175,0.79159844,0.201256,8.712707e-7,0.0015945623,0.00014530032],"about_ca_topic_score_codex":0.000002306637,"about_ca_topic_score_gemma":1.9491632e-7,"teacher_disagreement_score":0.14555383,"about_ca_system_score_codex":0.000081037244,"about_ca_system_score_gemma":0.000013957622,"threshold_uncertainty_score":0.32072073},"labels":[],"label_agreement":null},{"id":"W3016919356","doi":"10.1016/j.petrol.2020.107291","title":"Log data-driven model and feature ranking for water saturation prediction using machine learning approach","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Support vector machine; Artificial neural network; Machine learning; Artificial intelligence; Least squares support vector machine; Reservoir modeling; Ranking SVM; Computer science; Simulated annealing; Data mining; Engineering; Petroleum engineering","score_opus":0.04162849255083427,"score_gpt":0.26179863729639336,"score_spread":0.22017014474555907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016919356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44592875,0.000325676,0.5534982,0.000058120633,0.00009902069,0.000034984743,0.000004830508,0.000041929034,0.000008477763],"genre_scores_gemma":[0.82881516,0.00007869616,0.17086533,0.000009113773,0.00020127039,9.374263e-7,0.000007148201,0.000018362109,0.0000039657984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912375,0.000008654953,0.00022420776,0.00016028376,0.00026996972,0.00021314995],"domain_scores_gemma":[0.9995996,0.000033034255,0.00004032292,0.00008895742,0.000094168594,0.00014393857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008297811,0.00012548227,0.0001938046,0.0001873683,0.000119250086,0.00013830999,0.000182321,0.000056432382,4.4508073e-7],"category_scores_gemma":[0.00017841074,0.000098637516,0.000026361846,0.00016281864,0.0000267613,0.00094794657,0.000058798763,0.00031416502,6.146911e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008890254,0.0000014021311,0.00015406724,0.000100299156,0.000011827812,6.6975934e-7,0.00030301118,0.805279,0.19390014,0.0000106988045,0.000009174134,0.00022083563],"study_design_scores_gemma":[0.0004242536,0.000041244057,0.00013173406,0.000029970664,0.00002845798,0.000043083,0.00003409259,0.9971213,0.001606452,0.000005871155,0.00042842544,0.00010516618],"about_ca_topic_score_codex":7.76709e-7,"about_ca_topic_score_gemma":1.0680319e-7,"teacher_disagreement_score":0.3828864,"about_ca_system_score_codex":0.00004568487,"about_ca_system_score_gemma":0.000020551974,"threshold_uncertainty_score":0.4022321},"labels":[],"label_agreement":null},{"id":"W3017785036","doi":"10.1016/j.petrol.2020.107324","title":"Supervised data-driven approach to early kick detection during drilling operation","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Drilling; Margin (machine learning); Artificial neural network; Constant false alarm rate; ALARM; Binary classification; Reliability (semiconductor); Submarine pipeline; Engineering; False alarm; Petroleum engineering; Simulation; Computer science; Artificial intelligence; Support vector machine; Machine learning; Power (physics); Geotechnical engineering; Mechanical engineering","score_opus":0.016859079764426195,"score_gpt":0.19504249546231708,"score_spread":0.1781834156978909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017785036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7069969,0.00014741335,0.29221213,0.000048459347,0.00033172424,0.000040770043,0.0000019872202,0.00010781345,0.00011278876],"genre_scores_gemma":[0.9897177,0.000069468755,0.009678074,0.000021110809,0.0004774664,0.0000017324593,8.815875e-7,0.000030954852,0.000002565955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866134,0.000005000604,0.00034329185,0.00022334741,0.00044285707,0.00032417304],"domain_scores_gemma":[0.99929243,0.000016701802,0.000035696918,0.00017954833,0.000094977026,0.00038065203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045170303,0.00016639954,0.00023032907,0.0003248232,0.000111265974,0.00021908559,0.00045354787,0.000044888257,0.0000014481959],"category_scores_gemma":[0.00013095404,0.0001620937,0.000034253324,0.00055339746,0.000022965973,0.0011539849,0.000090712216,0.00029785326,0.0000049303703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042808274,0.0000029369432,0.0000717363,0.00006138398,0.000010860083,0.0000033515516,0.00043342978,0.7195272,0.27916718,0.0000069155385,0.0000069566177,0.0007038203],"study_design_scores_gemma":[0.0002477115,0.00006267149,0.0021864246,0.000051379448,0.000015593343,0.000052870833,0.00010062441,0.98150665,0.015223468,5.2499684e-7,0.0003684876,0.0001835702],"about_ca_topic_score_codex":0.0000031808745,"about_ca_topic_score_gemma":3.9161716e-7,"teacher_disagreement_score":0.2827208,"about_ca_system_score_codex":0.00009132951,"about_ca_system_score_gemma":0.000029536994,"threshold_uncertainty_score":0.66099894},"labels":[],"label_agreement":null},{"id":"W3020725459","doi":"10.1016/j.petrol.2020.107314","title":"A targeted risk prediction method based on statistical analysis of accidents in petroleum geophysical exploration","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Department of Education of Shandong Province","keywords":"Causation; Accident (philosophy); Statistic; Grey relational analysis; Petroleum industry; Statistical analysis; Test (biology); Computer science; Risk analysis (engineering); Petroleum; Operations research; Engineering; Forensic engineering; Statistics; Business; Mathematics; Geology","score_opus":0.04509874252811304,"score_gpt":0.40845780118401637,"score_spread":0.36335905865590334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020725459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75913495,0.000020422887,0.23958977,0.00087642093,0.00015851788,0.00009360071,0.000048429865,0.000007950984,0.00006994368],"genre_scores_gemma":[0.9940338,0.000037935977,0.005670091,0.000107695436,0.0001284097,0.000008498417,0.000005804585,0.00000536952,0.0000023749294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99771297,0.00019521969,0.000655549,0.00015925957,0.00097993,0.00029708026],"domain_scores_gemma":[0.9980987,0.00091050577,0.00026474532,0.00007995196,0.00032304003,0.0003231065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029096813,0.0000801502,0.0003283039,0.0009097344,0.0001570326,0.000011330675,0.00014260714,0.000052694835,0.000031701296],"category_scores_gemma":[0.0024859305,0.00006608097,0.000052642376,0.001524819,0.00004065853,0.0003854668,0.000030087418,0.0006441429,0.0000029031476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052615115,0.00006241319,0.3053865,0.00011431903,0.00003775947,0.0000072631806,0.0006341008,0.6876366,0.0033073141,0.0002648723,0.000051013605,0.0019716448],"study_design_scores_gemma":[0.0003534356,0.00025796282,0.46558255,0.000033931952,0.000032811702,1.6282696e-7,0.00013457607,0.53350514,0.000025917412,0.000012036431,0.000036802918,0.000024672547],"about_ca_topic_score_codex":0.00006724303,"about_ca_topic_score_gemma":0.000010017069,"teacher_disagreement_score":0.23489887,"about_ca_system_score_codex":0.000171125,"about_ca_system_score_gemma":0.0005242865,"threshold_uncertainty_score":0.29760706},"labels":[],"label_agreement":null},{"id":"W3038097424","doi":"10.1016/j.petrol.2020.107540","title":"Experimental investigation of CO2 foam stability enhancement by partitioning particles","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Center for Outcomes Research and Evaluation, Yale School of Medicine; CMG Reservoir Simulation Foundation; Suncor Energy Incorporated; Canadian Natural Resources Limited; Canada Excellence Research Chairs, Government of Canada; University of Calgary","keywords":"Enhanced oil recovery; Pulmonary surfactant; Materials science; Chemical engineering; Nanoparticle; Adsorption; Particle (ecology); Phase (matter); Composite material; Petroleum engineering; Nanotechnology; Chemistry","score_opus":0.013808709267189547,"score_gpt":0.2158231556535428,"score_spread":0.20201444638635324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038097424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709233,0.0006295052,0.02814534,0.00008397201,0.000087769666,0.000026517946,0.0000015991308,0.000040686908,0.000061285646],"genre_scores_gemma":[0.9945861,0.00005995962,0.005284914,0.000023567023,0.00003407987,0.0000031617785,2.2605336e-7,0.000007449567,5.038282e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912417,0.0000059830904,0.00031081267,0.00008429341,0.00032129715,0.00015346063],"domain_scores_gemma":[0.9996124,0.00002647577,0.00007728871,0.00005483532,0.000080702834,0.00014830694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040946278,0.000080460064,0.00014816466,0.00006659943,0.000031592943,0.00003377075,0.000116890864,0.000020821673,0.000010415942],"category_scores_gemma":[0.00009963969,0.000078102676,0.00002691508,0.00021935238,0.00009084507,0.000592896,0.00002314862,0.00010882605,4.6718145e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004103225,0.0000057593047,0.000641631,0.000041516705,0.0000056948224,6.719676e-7,0.00045396798,0.010210067,0.98818296,0.00003273784,0.000098798795,0.00032210196],"study_design_scores_gemma":[0.00010981212,0.00016993785,0.0007386258,0.000051110506,0.0000046073756,0.0000035148096,0.00016633965,0.07139835,0.92714995,0.00001927864,0.00011945377,0.00006902171],"about_ca_topic_score_codex":0.0000013673164,"about_ca_topic_score_gemma":1.469678e-7,"teacher_disagreement_score":0.06118828,"about_ca_system_score_codex":0.000091669914,"about_ca_system_score_gemma":0.000032330863,"threshold_uncertainty_score":0.31849346},"labels":[],"label_agreement":null},{"id":"W3040592665","doi":"10.1016/j.petrol.2020.107589","title":"Insights from mixing calculations and geochemical modeling of Montney Formation post hydraulic fracturing flowback water chemistry","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Hydraulic fracturing; Geology; Formation water; Imbibition; Unconventional oil; Petroleum engineering; Mineralogy; Chemistry; Oil shale","score_opus":0.00433978863202281,"score_gpt":0.16445736707600786,"score_spread":0.16011757844398505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040592665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95585763,0.00008612326,0.04371339,0.00021937584,0.000022408027,0.00001658212,5.8466065e-7,0.0000053323547,0.000078565514],"genre_scores_gemma":[0.9920202,0.000033998276,0.007836777,0.000058780133,0.000041402356,3.6733218e-7,8.7045623e-7,0.000005653371,0.000001983385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991727,0.0000029310688,0.00024732228,0.00012060694,0.0003186077,0.00013783047],"domain_scores_gemma":[0.9996895,0.000011217425,0.00006721619,0.000053154377,0.000011328815,0.00016757606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008782503,0.00008797555,0.00012947716,0.000010501655,0.0000758519,0.000028900178,0.00012245742,0.000035938,0.000020026408],"category_scores_gemma":[0.000035524718,0.0000674662,0.000027799892,0.00008028525,0.00009694809,0.00072995585,0.00013413827,0.00013947445,0.0000012504448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035296625,0.0000035437836,0.0005382344,0.0000066128428,0.0000021654773,0.0000015908464,0.00047250596,0.50818306,0.4906259,6.1509695e-7,5.987412e-7,0.00016166209],"study_design_scores_gemma":[0.000151827,0.0000218223,0.0041191187,0.000022792809,0.00001216747,0.000015992104,0.00027359315,0.9558425,0.039392393,0.00002234787,0.000046083376,0.000079349076],"about_ca_topic_score_codex":0.000040758754,"about_ca_topic_score_gemma":6.788904e-7,"teacher_disagreement_score":0.4512335,"about_ca_system_score_codex":0.00008500311,"about_ca_system_score_gemma":0.000006194535,"threshold_uncertainty_score":0.2751192},"labels":[],"label_agreement":null},{"id":"W3041373107","doi":"10.1016/j.petrol.2020.107584","title":"The use of flowback data for estimating dynamic fracture volume and its correlation with completion-design parameters: Eagle Ford cases","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fracture (geology); Volume (thermodynamics); Hydraulic fracturing; Petroleum engineering; Dimensionless quantity; Geology; Closure (psychology); Mechanics; Geotechnical engineering; Thermodynamics","score_opus":0.04489299861104282,"score_gpt":0.24186019998131636,"score_spread":0.19696720137027354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041373107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25485316,0.00045771024,0.74418324,0.00036279106,0.00007366891,0.000047305042,0.0000074321974,0.00001371028,9.68596e-7],"genre_scores_gemma":[0.9349439,0.00009679761,0.06487892,0.000018346625,0.000044237775,0.0000012209363,0.0000020471668,0.000010487284,0.000004038504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921536,0.000007883451,0.00024654364,0.00011073777,0.00025937485,0.00016009562],"domain_scores_gemma":[0.9991745,0.0003730339,0.000103629114,0.00012262394,0.0001179189,0.000108319924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004671232,0.0000962931,0.00018632654,0.000088103305,0.00014171195,0.00013804463,0.00022207035,0.00002686356,9.20625e-7],"category_scores_gemma":[0.00071512454,0.000061712584,0.00002453256,0.00020199605,0.00005662311,0.0007097765,0.00003620845,0.00015822347,1.9640152e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001634512,0.0000023549992,0.00008463661,0.00006977569,0.000035423534,0.0000034428963,0.00012075784,0.9968719,0.0017905507,0.0000010202208,0.000138525,0.0008652986],"study_design_scores_gemma":[0.00017698586,0.00014082092,0.00066859054,0.00009036674,0.000055055207,0.000056823585,0.00007392826,0.99717236,0.00018043566,0.0000019571037,0.001306515,0.00007617811],"about_ca_topic_score_codex":0.00000507607,"about_ca_topic_score_gemma":0.0000022877198,"teacher_disagreement_score":0.6800908,"about_ca_system_score_codex":0.000025083797,"about_ca_system_score_gemma":0.000033005683,"threshold_uncertainty_score":0.2516566},"labels":[],"label_agreement":null},{"id":"W3044590271","doi":"10.1016/j.petrol.2020.107670","title":"The application of geomechanical SAGD dilation startup in a Xinjiang oil field heavy-oil reservoir","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada); Concordia University","funders":"Concordia University","keywords":"Petroleum engineering; Oil field; Steam injection; Injector; Geology; Dilation (metric space); Oil well; Engineering; Mechanical engineering","score_opus":0.007023635543840602,"score_gpt":0.2127902717523604,"score_spread":0.2057666362085198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044590271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581304,0.001298127,0.037996817,0.002112301,0.00013053877,0.00001232164,7.513032e-7,0.00002442628,0.0002942927],"genre_scores_gemma":[0.99886507,0.0006138198,0.00036864687,0.000025965714,0.00010713762,0.0000018270522,1.454856e-7,0.000007072583,0.000010288892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989875,0.000008403697,0.00034783248,0.00008992616,0.0003754172,0.00019090857],"domain_scores_gemma":[0.9995158,0.00011113487,0.00007001313,0.0001053722,0.00007606739,0.00012164377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007804812,0.00007883841,0.00017026081,0.00016505286,0.00006282844,0.000047901987,0.0002570345,0.000039806822,0.0000017181956],"category_scores_gemma":[0.00031704592,0.000056700337,0.000050503182,0.0005290238,0.000035882804,0.00026071313,0.000035809306,0.00027033174,7.9077404e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018077226,0.000005968099,0.00024207815,0.00009283655,0.000013542347,0.000003860794,0.00025466544,0.95467293,0.03437706,0.000046377245,0.00004614653,0.010226469],"study_design_scores_gemma":[0.000169201,0.000060945316,0.001310143,0.00006643148,0.0000102243075,0.000007739025,0.00013698191,0.9866184,0.0077126445,0.000011257946,0.0038254196,0.00007060672],"about_ca_topic_score_codex":0.000018154391,"about_ca_topic_score_gemma":0.000011233252,"teacher_disagreement_score":0.04073467,"about_ca_system_score_codex":0.000056065655,"about_ca_system_score_gemma":0.00004240281,"threshold_uncertainty_score":0.23121727},"labels":[],"label_agreement":null},{"id":"W3048665777","doi":"10.1016/j.petrol.2020.107741","title":"A decision-making approach considering technology progress for investment in oil sands projects: An empirical analysis in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Major Science and Technology Projects of China; Science and Technology Major Project of Guangxi; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Oil sands; Investment (military); Petroleum engineering; Engineering; Business; Economics; Political science; Archaeology; Asphalt; Geography","score_opus":0.025718986969658998,"score_gpt":0.29559405700678837,"score_spread":0.26987507003712935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048665777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8949939,0.00043190058,0.10425122,0.00013767838,0.00009479309,0.000042329102,0.0000016416424,0.00003006346,0.000016494369],"genre_scores_gemma":[0.88720745,0.000020086938,0.11268167,0.000030969502,0.0000344908,0.000011409022,2.437842e-7,0.000013409882,2.7173692e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985876,0.000013944176,0.00049028604,0.00019431712,0.00037003314,0.00034381318],"domain_scores_gemma":[0.999403,0.00016260138,0.00005828833,0.00011053137,0.00008780722,0.00017778986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125708,0.00014573523,0.0003915604,0.0012649728,0.000032999003,0.00006572202,0.0002558492,0.00005403516,8.734539e-7],"category_scores_gemma":[0.0006246691,0.00013440869,0.000041511354,0.002453775,0.000034017496,0.00035137965,0.00003595813,0.00028645567,2.4776536e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023301764,0.000007913356,0.022215264,0.000073096235,0.00002516397,0.000021747981,0.0003743184,0.9729276,0.0014356468,0.000016296495,0.0000044295566,0.0028752654],"study_design_scores_gemma":[0.00046187724,0.00006313761,0.0126611525,0.000077696335,0.000019117566,0.000016794744,0.00051943766,0.9856837,0.00017159007,0.000014632733,0.00017033462,0.0001405518],"about_ca_topic_score_codex":0.00028669165,"about_ca_topic_score_gemma":0.0018037091,"teacher_disagreement_score":0.01275612,"about_ca_system_score_codex":0.00047962164,"about_ca_system_score_gemma":0.00041213265,"threshold_uncertainty_score":0.54810274},"labels":[],"label_agreement":null},{"id":"W3049186929","doi":"10.1016/j.petrol.2020.107769","title":"Mineral filling mechanism in complex carbonate reservoir fracture system：Enlightenment from numerical simulation of water-rock interaction","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Chinese Academy of Sciences","keywords":"Calcite; Geology; Fault (geology); Fracture (geology); Precipitation; Carbonate; Mineralogy; Dissolution; Geotechnical engineering; Materials science; Seismology; Chemistry","score_opus":0.012491443291199101,"score_gpt":0.21992540894302418,"score_spread":0.20743396565182506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049186929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91198784,0.00014675465,0.08730895,0.00028344948,0.00017290353,0.0000262261,0.0000021536212,0.000028093878,0.000043598706],"genre_scores_gemma":[0.99881643,0.000022125414,0.0009491533,0.000021718864,0.00017338517,8.4031916e-7,0.0000021641952,0.000012787714,0.0000014232306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866366,0.000014072267,0.00047857035,0.00013437806,0.0004897564,0.00021956781],"domain_scores_gemma":[0.9995469,0.000052185667,0.0000892079,0.0000848194,0.000091347494,0.00013557712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367136,0.00013300678,0.00033140258,0.0003013999,0.000039085775,0.000048091708,0.00019421385,0.000054934673,0.0000113213055],"category_scores_gemma":[0.00006483985,0.00009746023,0.00007063021,0.00028341752,0.00001353842,0.00037123906,0.00003860472,0.00030429405,0.000001237257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012908884,0.0000058703977,0.000081893435,0.000071621485,0.00002896839,0.000019489325,0.00070483866,0.84362274,0.1554004,0.0000022968254,0.0000071890427,0.000041802214],"study_design_scores_gemma":[0.0002451656,0.000052636544,0.0009098187,0.00012119854,0.000027691933,0.000009587896,0.00035204206,0.9768378,0.020967774,0.000007517287,0.00036579536,0.00010295394],"about_ca_topic_score_codex":0.000063966196,"about_ca_topic_score_gemma":0.0000019355164,"teacher_disagreement_score":0.13443263,"about_ca_system_score_codex":0.00016633102,"about_ca_system_score_gemma":0.000015846266,"threshold_uncertainty_score":0.39743128},"labels":[],"label_agreement":null},{"id":"W3082922905","doi":"10.1016/j.petrol.2020.107835","title":"Porosity system analysis and its relation to the permeability of the reservoir zones in the Upper Dalan Member and Kangan Formation: A case study, one of the gas fields in the Zagros Coastal Fars, SW Iran","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Infection and Immunity","keywords":"Geology; Facies; Porosity; Permeability (electromagnetism); Natural gas field; Diagenesis; Saturation (graph theory); Dolomitization; Grainstone; Petrology; Geochemistry; Geomorphology; Natural gas; Geotechnical engineering; Chemistry","score_opus":0.02196517622694111,"score_gpt":0.22813863044286306,"score_spread":0.20617345421592195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082922905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960809,0.00012543764,0.0008275474,0.0027671468,0.000033682347,0.00013765409,0.00000281939,0.0000037079483,0.000021126267],"genre_scores_gemma":[0.99988896,0.000022996963,0.000018364988,0.000036770434,0.000025379613,0.0000031654702,1.4066005e-7,0.0000029864993,0.0000012374265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988215,0.000115639334,0.0003746063,0.000087053326,0.0004908176,0.00011036597],"domain_scores_gemma":[0.9995122,0.0000939423,0.00009681246,0.00018505158,0.000068553825,0.000043437773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020201318,0.00008267266,0.00019855505,0.00015081906,0.00014755383,0.00007070366,0.0003208808,0.00002826296,0.0000010323043],"category_scores_gemma":[0.00016857905,0.000035478333,0.00006583632,0.0014117486,0.000050140585,0.00030219604,0.00007829843,0.00026348585,5.0392725e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015043616,0.000036730526,0.07279232,0.00013520241,0.00007875124,0.000015492382,0.07321587,0.8480402,0.0055055907,0.00008568107,0.0000069938546,0.00007208726],"study_design_scores_gemma":[0.00023074848,0.00006310878,0.2846002,0.00005031612,0.0001385413,0.00012602346,0.043571677,0.6706725,0.00047426374,0.0000037237292,0.000011605388,0.000057342208],"about_ca_topic_score_codex":0.00014209075,"about_ca_topic_score_gemma":0.0018603562,"teacher_disagreement_score":0.21180788,"about_ca_system_score_codex":0.000029332363,"about_ca_system_score_gemma":0.000018207813,"threshold_uncertainty_score":0.14467643},"labels":[],"label_agreement":null},{"id":"W3082984033","doi":"10.1016/j.petrol.2020.107869","title":"A semi-analytical model for horizontal-well productivity in shale gas reservoirs: Coupling of multi-scale seepage and matrix shrinkage","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Major Science and Technology Projects of China; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Knudsen diffusion; Permeability (electromagnetism); Mechanics; Oil shale; Petroleum engineering; Laplace transform; Geology; Porosity; Materials science; Geotechnical engineering; Chemistry; Mathematics","score_opus":0.020759919334765998,"score_gpt":0.2508779780161567,"score_spread":0.23011805868139068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082984033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8625242,0.00038196825,0.13662879,0.00032216808,0.000041964588,0.000058799676,0.0000035036785,0.00001878447,0.000019810355],"genre_scores_gemma":[0.9957006,0.000191603,0.0039980747,0.000006839486,0.00007126154,0.000003037468,3.891012e-7,0.000015205452,0.000013015551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880934,0.000003844074,0.00041572313,0.00017755938,0.0003451147,0.00024842194],"domain_scores_gemma":[0.99946034,0.000038304806,0.00006927911,0.00009580657,0.00011281298,0.00022344461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088183285,0.00012808126,0.00035302155,0.00033892185,0.00004253749,0.000053525742,0.00017963776,0.000047960773,0.0000016551735],"category_scores_gemma":[0.00019822996,0.00011367989,0.00007224086,0.0005244964,0.00007535919,0.00055543275,0.00005123489,0.00023608726,2.9323022e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001336602,0.000015103744,0.0009016358,0.00015275547,0.000016533773,0.000005136412,0.000609434,0.8408561,0.15736307,0.000014013971,0.000012015841,0.000040877963],"study_design_scores_gemma":[0.00046823564,0.00007232873,0.00037294088,0.00005380256,0.000032190583,0.0000114160575,0.00029928758,0.9924609,0.0060653174,0.0000083403065,0.000040661296,0.000114562776],"about_ca_topic_score_codex":0.0000042170304,"about_ca_topic_score_gemma":0.00001282761,"teacher_disagreement_score":0.15160486,"about_ca_system_score_codex":0.000060600778,"about_ca_system_score_gemma":0.000052324092,"threshold_uncertainty_score":0.46357316},"labels":[],"label_agreement":null},{"id":"W3094035559","doi":"10.1016/j.petrol.2020.108045","title":"Impact of water film on methane surface diffusion in gas shale organic nanopores","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science and Technology Major Project; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Methane; Knudsen diffusion; Oil shale; Diffusion; Adsorption; Surface diffusion; Pore water pressure; Nanopore; Chemical engineering; Permeability (electromagnetism); Chemistry; Molecular diffusion; Materials science; Mineralogy; Chemical physics; Porosity; Nanotechnology; Composite material; Geology; Thermodynamics; Membrane; Organic chemistry; Geotechnical engineering","score_opus":0.00878589039300643,"score_gpt":0.21724178681709952,"score_spread":0.2084558964240931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094035559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856687,0.00014202134,0.0009337761,0.00017955531,0.00006752859,0.000015622245,8.342414e-7,0.000014400134,0.00007937669],"genre_scores_gemma":[0.99960566,0.00018786472,0.00014030846,0.00001045721,0.000039333983,2.0328727e-7,3.6116452e-7,0.000010049207,0.0000057760076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906415,0.0000077841705,0.00028661604,0.00008520739,0.00036034713,0.00019589192],"domain_scores_gemma":[0.99964654,0.00001952235,0.000039131042,0.000068135305,0.000062331295,0.00016434856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038422845,0.00010016298,0.00023636963,0.0002864354,0.000018837654,0.00002774559,0.00016754148,0.000030735504,0.000041767405],"category_scores_gemma":[0.000085919215,0.00006442397,0.00007214536,0.00050476106,0.000030676285,0.00028768257,0.000027646414,0.0001785814,0.000002715492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005839167,0.0000062719796,0.0009807404,0.000013445204,0.000009932161,0.000007107017,0.00040648843,0.5003594,0.49815485,0.0000012851933,0.000009979176,0.000044622695],"study_design_scores_gemma":[0.00033369145,0.00021911514,0.0049734837,0.000048468053,0.000010966818,0.000011572032,0.0001337261,0.8777753,0.11634894,0.0000036336812,0.00004517446,0.00009589927],"about_ca_topic_score_codex":0.000007647097,"about_ca_topic_score_gemma":0.0000021468252,"teacher_disagreement_score":0.38180593,"about_ca_system_score_codex":0.000071091374,"about_ca_system_score_gemma":0.000035100125,"threshold_uncertainty_score":0.2627133},"labels":[],"label_agreement":null},{"id":"W3094595178","doi":"10.1016/j.petrol.2020.108022","title":"New insights into the interfacial phenomena occurring between hydrocarbon solvent and heavy oil","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imbibition; Capillary action; Diffusion; Surface tension; Solvent; Supercritical fluid; Petroleum engineering; Molecular diffusion; Chemistry; Decane; Materials science; Chemical engineering; Geology; Thermodynamics; Composite material; Organic chemistry","score_opus":0.008899516145306992,"score_gpt":0.21056958299279555,"score_spread":0.20167006684748856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094595178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95804435,0.002325565,0.038468897,0.0002843368,0.00024567396,0.000018455952,2.946759e-7,0.00008612576,0.00052627973],"genre_scores_gemma":[0.9963607,0.000487495,0.0025939893,0.000060889466,0.00047702144,0.0000010545012,5.705959e-8,0.000015007473,0.0000037438476],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903315,0.000005185707,0.00028356301,0.00012600038,0.00033052548,0.00022155483],"domain_scores_gemma":[0.9995147,0.000045698627,0.000057887148,0.000078488316,0.000039374067,0.00026383324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031643707,0.000141216,0.00021205416,0.00017021413,0.00007996095,0.00012847045,0.0002901007,0.000035077213,0.0000016679542],"category_scores_gemma":[0.00008971928,0.000106040825,0.000035568515,0.0003032369,0.00006249471,0.00056528946,0.00009173036,0.0003443461,8.3275654e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045346143,0.000010395634,0.0019028783,0.000355514,0.00012622333,0.000033060373,0.01447904,0.1163919,0.60450566,0.0004804315,0.00037112387,0.26129845],"study_design_scores_gemma":[0.0012234258,0.00107026,0.006522798,0.00090704154,0.00012499848,0.000108374385,0.0012449559,0.61286664,0.31385309,0.0006124757,0.060373288,0.0010926345],"about_ca_topic_score_codex":0.000009359993,"about_ca_topic_score_gemma":0.0000024891683,"teacher_disagreement_score":0.49647477,"about_ca_system_score_codex":0.00013559786,"about_ca_system_score_gemma":0.00005260783,"threshold_uncertainty_score":0.43242195},"labels":[],"label_agreement":null},{"id":"W3095580331","doi":"10.1016/j.petrol.2020.108063","title":"Physical simulation of the nonlinear transient flow behavior in closed high-pressure gas reservoirs. Part I: Pressure-depleted flow experiments on matrix cores","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Major Science and Technology Projects of China; National Natural Science Foundation of China","keywords":"Flow (mathematics); Mechanics; Nonlinear system; Volumetric flow rate; Exponential function; Mathematics; Thermodynamics; Mathematical analysis; Physics","score_opus":0.01139532292325197,"score_gpt":0.24352962350324198,"score_spread":0.23213430057999002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095580331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649113,0.0003899007,0.002416051,0.00025654957,0.00031587796,0.00007307521,0.000011384259,0.000027660184,0.000018366392],"genre_scores_gemma":[0.99907017,0.000037225884,0.0006229542,0.000014336371,0.00022575007,0.0000033331878,7.0907214e-7,0.000018501742,0.000007028953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842733,0.000022409939,0.00038312082,0.00015914688,0.0007555421,0.0002524294],"domain_scores_gemma":[0.9994289,0.000061628976,0.00008682706,0.00017441144,0.000092708404,0.00015550226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048348,0.00015975143,0.00032684414,0.00020554401,0.000061282044,0.000046623456,0.00036477996,0.000054634427,0.000007170403],"category_scores_gemma":[0.00014675781,0.0001122773,0.00011884929,0.0005174755,0.00006863954,0.00025650425,0.000039325456,0.0003731357,7.368692e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033745484,0.000044671026,0.00023780245,0.00007066004,0.00003842018,0.000009094005,0.0007027535,0.9415244,0.057031766,0.0000010083705,0.000041705058,0.00026398367],"study_design_scores_gemma":[0.00048644122,0.00012547185,0.0051465007,0.000109937566,0.000085313106,0.0000027862031,0.000061322164,0.96955603,0.023112739,0.0000013102297,0.0012022698,0.000109886765],"about_ca_topic_score_codex":0.000008794041,"about_ca_topic_score_gemma":0.0000019755873,"teacher_disagreement_score":0.033919025,"about_ca_system_score_codex":0.000036807636,"about_ca_system_score_gemma":0.00003573988,"threshold_uncertainty_score":0.45785356},"labels":[],"label_agreement":null},{"id":"W3104118686","doi":"10.1016/j.petrol.2020.108113","title":"Emulsion-assisted thermal recovery method in heterogeneous oilsands reservoir","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulsion; Petroleum engineering; Enhanced oil recovery; Chemical engineering; Environmental science; Chemistry; Materials science; Geology; Engineering","score_opus":0.01220365614848802,"score_gpt":0.24091110098293897,"score_spread":0.22870744483445093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104118686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628071,0.0006228303,0.035527315,0.00015929784,0.00024773704,0.00002539806,0.0000013368838,0.000089527464,0.0005194677],"genre_scores_gemma":[0.9759021,0.0002456236,0.023655089,0.00006047298,0.0001097394,0.0000022868057,1.2647294e-7,0.000020591251,0.000003972997],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883217,0.000013451863,0.00036020944,0.00013578954,0.0003714755,0.00028693132],"domain_scores_gemma":[0.99949193,0.00007605157,0.000061682455,0.00009665731,0.000075915006,0.00019774966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068668555,0.0001331955,0.0002438071,0.0003541167,0.000034072295,0.000076464086,0.00029884645,0.00005687303,0.000009525288],"category_scores_gemma":[0.00027004376,0.0001226253,0.000058976853,0.00057261065,0.000032613756,0.0006433204,0.000053538242,0.00034215915,0.000001226521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015860092,0.0000050523768,0.00015808662,0.000043965265,0.000008513425,0.000057754874,0.00011400128,0.4591703,0.53194106,0.00000812785,0.00005961308,0.008417628],"study_design_scores_gemma":[0.00049211894,0.00038276048,0.006330365,0.00023003103,0.000013335544,0.0002647721,0.000069230635,0.6748252,0.31560552,0.000041024166,0.0014298687,0.0003157744],"about_ca_topic_score_codex":0.0000025221182,"about_ca_topic_score_gemma":0.0000016527522,"teacher_disagreement_score":0.21633555,"about_ca_system_score_codex":0.00013118197,"about_ca_system_score_gemma":0.00003927602,"threshold_uncertainty_score":0.50005144},"labels":[],"label_agreement":null},{"id":"W3107768742","doi":"10.1016/j.petrol.2020.108133","title":"A machine learning model for predicting multi-stage horizontal well production","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Completion (oil and gas wells); Stage (stratigraphy); Perforation; Production (economics); Petroleum engineering; Production planning; Geology; Computer science; Statistics; Mathematics; Engineering","score_opus":0.01732373067938664,"score_gpt":0.2260921401139579,"score_spread":0.20876840943457126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107768742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49376857,0.0005987791,0.504895,0.0002938346,0.00024777398,0.00004295641,0.00000214331,0.000092239534,0.00005870285],"genre_scores_gemma":[0.99055547,0.00014653575,0.008896973,0.0000124723165,0.00029589765,0.0000021684598,5.0908534e-7,0.000019338902,0.00007065851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903685,0.0000040405444,0.0002645966,0.00013908668,0.00030510832,0.0002503151],"domain_scores_gemma":[0.9995449,0.000020878993,0.00006890857,0.000056800214,0.000101695594,0.00020680878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000606182,0.000118570155,0.0001968591,0.00020701469,0.0001308775,0.00007378035,0.00016470398,0.000034420056,0.0000020526443],"category_scores_gemma":[0.00038844874,0.00010098443,0.00007511482,0.00027144377,0.00003335741,0.00046888913,0.000027346245,0.00033873078,7.3908876e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007471197,0.0000049824475,0.00037941267,0.00009897202,0.000022917999,0.0000033304243,0.0005117994,0.9363483,0.062134188,0.000002105516,0.00001931846,0.000467181],"study_design_scores_gemma":[0.00026897833,0.000082635815,0.00013973129,0.00003744436,0.000028086106,0.000021449097,0.00014342293,0.9932372,0.004572649,8.730844e-7,0.0013603154,0.00010724347],"about_ca_topic_score_codex":0.000003354099,"about_ca_topic_score_gemma":0.0000018375824,"teacher_disagreement_score":0.49678686,"about_ca_system_score_codex":0.00006717271,"about_ca_system_score_gemma":0.00003721418,"threshold_uncertainty_score":0.41180253},"labels":[],"label_agreement":null},{"id":"W3108327586","doi":"10.1016/j.petrol.2020.108176","title":"Effect of reservoir characteristics on the productivity and production forecasting of the Montney shale gas in Canada: Discussion","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petroleum engineering; Productivity; Shale gas; Production rate; Oil shale; Paleontology; Engineering","score_opus":0.011128412313820323,"score_gpt":0.1877213779080932,"score_spread":0.17659296559427287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108327586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99687624,0.00006146422,0.000075630414,0.0027818421,0.00013632367,0.00004677803,0.0000010128375,0.0000027922651,0.000017944241],"genre_scores_gemma":[0.9998686,0.000038419752,0.000015896447,0.0000058637997,0.00006275354,0.0000011595156,6.462116e-8,0.000004816196,0.000002473146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920386,0.000026174432,0.0002373985,0.00007736548,0.00035121935,0.00010400682],"domain_scores_gemma":[0.99965566,0.000051124614,0.000097837205,0.00008579884,0.000054389795,0.00005516198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090518646,0.00007037208,0.00017600729,0.000086930246,0.000044271983,0.00001354131,0.00013789567,0.000012626788,6.2204833e-7],"category_scores_gemma":[0.0009338374,0.000032095915,0.000024918487,0.00046733185,0.00005034791,0.00017455663,0.000034265173,0.0001907519,2.1063775e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003062958,0.0000063569278,0.01349013,0.00025103954,0.000016187354,0.000003153094,0.00075338356,0.8055778,0.17703684,0.000009758555,0.000027345304,0.0027973412],"study_design_scores_gemma":[0.00011496075,0.000108431734,0.021029752,0.00018764415,0.000016499065,0.000010707287,0.00018843211,0.9054498,0.07279133,0.0000030148003,0.000044719025,0.00005468359],"about_ca_topic_score_codex":0.00074518676,"about_ca_topic_score_gemma":0.001910329,"teacher_disagreement_score":0.10424551,"about_ca_system_score_codex":0.0000769667,"about_ca_system_score_gemma":0.00009224181,"threshold_uncertainty_score":0.13088334},"labels":[],"label_agreement":null},{"id":"W3112164756","doi":"10.1016/j.petrol.2020.108251","title":"Evolution of anisotropic permeability of fractured sandstones subjected to true-triaxial stresses during reservoir depletion","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science and Technology Major Project","keywords":"Geology; Permeability (electromagnetism); Anisotropy; Geotechnical engineering; Hydraulic fracturing; Poromechanics; Stress path; Principal stress; Fracture (geology); Petrology; Porosity; Porous medium; Shear (geology)","score_opus":0.006302974754070614,"score_gpt":0.2069005339629412,"score_spread":0.20059755920887057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112164756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908837,0.00046392917,0.008246815,0.00016609998,0.00013745183,0.00003489886,0.000012010605,0.0000320984,0.000022967817],"genre_scores_gemma":[0.99891394,0.00006585968,0.00083897886,0.000003580924,0.00016211576,9.177458e-7,6.672279e-7,0.000011687884,0.0000022397614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985984,0.000014655069,0.00048080986,0.00014113428,0.0005456349,0.00021939889],"domain_scores_gemma":[0.99921113,0.000055188928,0.00013062032,0.00013337874,0.0002500246,0.00021964702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033367038,0.0001280744,0.00035739318,0.00041135575,0.00006347144,0.000028731887,0.00026592094,0.000055423,0.000030303763],"category_scores_gemma":[0.0007729485,0.000108658285,0.00009492834,0.0007922937,0.00007311316,0.00035307874,0.00004812422,0.00020796318,5.033041e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035948276,0.000009532338,0.0021025871,0.00020668207,0.000022561619,0.000002929194,0.00037863012,0.6313012,0.36583963,0.0000020796012,0.000022111199,0.00007610498],"study_design_scores_gemma":[0.0009608586,0.00041361616,0.4392625,0.00032083213,0.00008933059,0.000035491106,0.0006030713,0.28501326,0.27228343,0.000013392418,0.0007047657,0.00029943913],"about_ca_topic_score_codex":0.000030500445,"about_ca_topic_score_gemma":0.000006650049,"teacher_disagreement_score":0.43715993,"about_ca_system_score_codex":0.00013299932,"about_ca_system_score_gemma":0.00007124524,"threshold_uncertainty_score":0.44309562},"labels":[],"label_agreement":null},{"id":"W3112195598","doi":"10.1016/j.petrol.2020.108240","title":"Inference of Hydraulically Fractured Reservoir Properties from Production Data Using the Indicator-Based Probability Perturbation Assisted History-Matching Method","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Petroleum Technology Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Reservoir simulation; Computer science; Reservoir modeling; Fracture (geology); Bayesian inference; Nonlinear system; Inference; Geology; Probability distribution; Algorithm; Mathematical optimization; Bayesian probability; Petroleum engineering; Geotechnical engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.061265819504387246,"score_gpt":0.2633275112535468,"score_spread":0.20206169174915956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112195598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7687126,0.0012067285,0.22861956,0.001118322,0.00022178152,0.000060443235,0.000003579221,0.000039601222,0.000017421238],"genre_scores_gemma":[0.97886974,0.000029357487,0.020837853,0.000046642373,0.000197607,0.0000014197652,0.000002062237,0.000013626862,0.0000016781102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828416,0.00005553202,0.0004977677,0.00024431566,0.0007206401,0.00019758352],"domain_scores_gemma":[0.9989039,0.00012729612,0.00023102763,0.0003854789,0.0002002587,0.00015208918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016165031,0.00015160655,0.0003114466,0.00019464402,0.000104319064,0.00006852448,0.00074050884,0.00006197447,0.0000081946055],"category_scores_gemma":[0.0016320676,0.00009787491,0.000059156562,0.00040153635,0.0001418986,0.0007944929,0.00010581115,0.00045917026,2.7712605e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014401039,0.0000110353,0.00018751611,0.000095994,0.000035694477,0.0000014253329,0.00094227,0.7795881,0.21856636,0.0000012254494,0.000032208427,0.00052379956],"study_design_scores_gemma":[0.00013359556,0.00003732379,0.0038188393,0.0001304409,0.00007759329,0.0000064592036,0.00012803584,0.9777835,0.01672574,0.00001941457,0.0010211503,0.00011793552],"about_ca_topic_score_codex":0.00007522276,"about_ca_topic_score_gemma":0.00000617812,"teacher_disagreement_score":0.21015719,"about_ca_system_score_codex":0.00023973915,"about_ca_system_score_gemma":0.00027255339,"threshold_uncertainty_score":0.3991223},"labels":[],"label_agreement":null},{"id":"W3117832606","doi":"10.1016/j.petrol.2020.108271","title":"On the ratio of energy produced to energy injected in SAGD: Long-term consequences of early stage operational decisions","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Steam injection; Vapor quality; Volume (thermodynamics); Oil field; Greenhouse gas; Set (abstract data type); Field (mathematics); Asphalt; Environmental science; Engineering; Oil sands; Computer science; Geology; Mathematics; Refrigerant","score_opus":0.015263759031484667,"score_gpt":0.2319783104239043,"score_spread":0.21671455139241963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117832606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95815104,0.000095921605,0.04131577,0.00022663258,0.00008402477,0.000025247793,0.0000036800338,0.00001595903,0.000081745624],"genre_scores_gemma":[0.99827474,0.00011991866,0.0014873109,0.00006639228,0.000033048666,0.0000040864725,2.1392029e-7,0.000008296773,0.000005966832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989421,0.000012376845,0.00038155972,0.00010302795,0.00041735944,0.00014357833],"domain_scores_gemma":[0.9994049,0.00017073032,0.00007702563,0.00009291987,0.00016110635,0.000093290284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397605,0.00009493879,0.00019523669,0.00032924835,0.00002679342,0.0000364282,0.0002817787,0.000027683524,0.000007880406],"category_scores_gemma":[0.0006217061,0.00007031209,0.00003062811,0.00064540625,0.000076213524,0.00031403004,0.000032187476,0.00012736772,1.5594284e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001567352,0.0000071232494,0.0007587142,0.000010661831,0.0000071374825,0.0000050298777,0.00018122303,0.2648791,0.7309767,0.0024414528,0.000021555396,0.0006956173],"study_design_scores_gemma":[0.00015814109,0.00045811228,0.018879423,0.00026751868,0.0000045066913,0.000011396371,0.0000421829,0.033772342,0.94617105,0.00006303622,0.000055642806,0.00011664304],"about_ca_topic_score_codex":0.000018409874,"about_ca_topic_score_gemma":0.00001467854,"teacher_disagreement_score":0.23110677,"about_ca_system_score_codex":0.000062508334,"about_ca_system_score_gemma":0.00013479996,"threshold_uncertainty_score":0.2867244},"labels":[],"label_agreement":null},{"id":"W3123275917","doi":"10.1016/j.petrol.2021.108442","title":"Multiscale characterization of shale pore-fracture system: Geological controls on gas transport and pore size classification in shale reservoirs","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Oil shale; Bed; Porosity; Porosimetry; Permeability (electromagnetism); Mineralogy; Geology; Scanning electron microscope; Characterization (materials science); Materials science; Porous medium; Chemistry; Geotechnical engineering; Composite material; Nanotechnology","score_opus":0.008994335526840092,"score_gpt":0.2057551999908946,"score_spread":0.1967608644640545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123275917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953946,0.00017988855,0.0037385265,0.00037434482,0.00009605802,0.00003876363,0.00000419143,0.000020051983,0.00015359455],"genre_scores_gemma":[0.9993644,0.00028272058,0.00023773944,0.000019304833,0.00005636627,0.0000029265507,0.0000062379218,0.0000090835365,0.000021223057],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998825,0.000016880389,0.00044963404,0.00014418352,0.00038776294,0.00017655347],"domain_scores_gemma":[0.9994484,0.00005257045,0.00010755748,0.00010965802,0.00015760402,0.00012416513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005727801,0.00011361984,0.00030793092,0.0002833414,0.000041471194,0.00003739123,0.000118188116,0.000078950354,0.0000070625515],"category_scores_gemma":[0.00013828973,0.00009354171,0.000049906594,0.00047034473,0.00006176544,0.00039568087,0.000011690381,0.00022574134,2.873263e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025207448,0.00003765565,0.013184158,0.00017013204,0.000025594129,0.000111255045,0.00044297348,0.26751578,0.7181273,0.00011963658,0.0000042807774,0.0002360196],"study_design_scores_gemma":[0.00059630256,0.000069535614,0.257411,0.00021557737,0.000026802607,0.00010784502,0.0005773122,0.731898,0.008784676,0.000005706066,0.00018358092,0.00012365825],"about_ca_topic_score_codex":0.0000030821927,"about_ca_topic_score_gemma":0.000006616625,"teacher_disagreement_score":0.70934266,"about_ca_system_score_codex":0.000074308446,"about_ca_system_score_gemma":0.000045855602,"threshold_uncertainty_score":0.38145202},"labels":[],"label_agreement":null},{"id":"W3124984548","doi":"10.1016/j.petrol.2021.108456","title":"Microfracture characterization of shale constrained by mineralogy and bedding","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Bedding; Geology; Bed; Oil shale; Feldspar; Mineralogy; Quartz; Pyrite; Brittleness; Scanning electron microscope; Texture (cosmology); Shearing (physics); Mineral; Geotechnical engineering; Materials science; Composite material; Anisotropy; Metallurgy","score_opus":0.002699014914871181,"score_gpt":0.18140232975334739,"score_spread":0.1787033148384762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124984548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98705786,0.001053554,0.011485393,0.00015449048,0.0001488665,0.000008616833,0.0000046559535,0.000011142493,0.00007543557],"genre_scores_gemma":[0.998646,0.00050563994,0.0007252587,0.000017256047,0.00006378842,2.7361324e-7,0.0000019120923,0.000007505293,0.000032315464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999319,0.00000540801,0.00024107445,0.0000841907,0.00019622261,0.00015408681],"domain_scores_gemma":[0.9996147,0.000027163373,0.0000641249,0.00006290841,0.00012681112,0.00010425086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028936815,0.00008470164,0.00020939842,0.0001997972,0.00003919216,0.00004778251,0.000082436694,0.000042213895,0.000008595168],"category_scores_gemma":[0.00006983442,0.00007351398,0.00003349118,0.00025437772,0.00007377145,0.0002761673,0.000021323725,0.00014832278,1.4231068e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013248615,0.0000052865917,0.00040112302,0.000060932576,0.00003058489,0.000013044298,0.00015416245,0.027222743,0.9712071,0.0000044848352,0.000029782595,0.00086945604],"study_design_scores_gemma":[0.000666464,0.000082277875,0.018458402,0.000259394,0.00010933385,0.0008016299,0.00033761968,0.4057032,0.5678411,0.000009204151,0.0054249717,0.00030638315],"about_ca_topic_score_codex":0.0000030560484,"about_ca_topic_score_gemma":5.3377676e-7,"teacher_disagreement_score":0.40336594,"about_ca_system_score_codex":0.000025900908,"about_ca_system_score_gemma":0.000038699327,"threshold_uncertainty_score":0.2997813},"labels":[],"label_agreement":null},{"id":"W3130362520","doi":"10.1016/j.petrol.2021.108557","title":"Can low salinity water injection be an efficient option for the Recôncavo Basin? An experimental and simulation case study","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Virtual Materials Group (Canada)","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Brine; Produced water; Enhanced oil recovery; Dilution; Salinity; Petroleum engineering; Oil field; Geology; Oil in place; Environmental science; Chemistry; Petroleum","score_opus":0.01591654374653948,"score_gpt":0.2799356688594407,"score_spread":0.2640191251129012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130362520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95708144,0.000093039125,0.042349596,0.0000288094,0.00031323745,0.00008420511,0.0000016611427,0.000044214747,0.000003822394],"genre_scores_gemma":[0.9979006,0.000012398911,0.0019478201,0.000012484948,0.00010379183,0.0000074191994,5.7390463e-7,0.000012888776,0.0000019927315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925965,0.000016104766,0.00020493548,0.00012666205,0.00022682652,0.00016580264],"domain_scores_gemma":[0.9995555,0.000058223017,0.00003276135,0.00010785546,0.00015003403,0.00009560247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009320088,0.00009683298,0.00011660634,0.0001421869,0.00017898445,0.00015416855,0.00007112033,0.000030021754,0.0000015515411],"category_scores_gemma":[0.000059604125,0.00006930918,0.000022858116,0.00013198597,0.00003371147,0.000554185,0.000022977416,0.0001338128,3.522049e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000732432,0.000040798794,0.00008942723,0.000011388035,0.000006121733,0.000032812186,0.0015255875,0.77671707,0.22019319,0.0000040726404,7.811521e-7,0.001371457],"study_design_scores_gemma":[0.00023742528,0.00044930296,0.0008052988,0.000018476414,0.000015977701,0.000707846,0.003827368,0.85965157,0.13416766,0.000005521194,0.000024592737,0.00008900363],"about_ca_topic_score_codex":0.000020119945,"about_ca_topic_score_gemma":0.000022510898,"teacher_disagreement_score":0.086025536,"about_ca_system_score_codex":0.00013541989,"about_ca_system_score_gemma":0.000025551155,"threshold_uncertainty_score":0.28263465},"labels":[],"label_agreement":null},{"id":"W3131830380","doi":"10.1016/j.petrol.2021.108563","title":"Integration of well log-derived facies and 3D seismic attributes for seismic facies mapping: A case study from mansuri oil field, SW Iran","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Shahid Chamran University of Ahvaz","keywords":"Facies; Geology; Seismic attribute; Reservoir modeling; Workflow; Well logging; Petrology; Oil field; Petroleum engineering; Geomorphology; Structural basin; Computer science","score_opus":0.023779367106437157,"score_gpt":0.2234253578801492,"score_spread":0.19964599077371203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131830380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703829,0.0008946344,0.027885174,0.00045478763,0.0002587465,0.000033617307,0.000025280153,0.000016653397,0.000048195478],"genre_scores_gemma":[0.993735,0.00025588667,0.0057364064,0.00016617408,0.00005011153,5.614006e-7,0.0000032114338,0.0000024980066,0.000050139923],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990476,0.000020371428,0.00030360822,0.00017223747,0.00026611236,0.00019008327],"domain_scores_gemma":[0.999295,0.00020559621,0.00013486911,0.00009265768,0.0001768698,0.00009501931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064673147,0.000116451694,0.00024127959,0.00025262168,0.00015957511,0.0001227313,0.00013691644,0.000036440055,0.000021690925],"category_scores_gemma":[0.00020497946,0.00009350819,0.000045163208,0.00022507452,0.000104955994,0.00050306297,0.000022619493,0.000149683,5.918117e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018053164,0.00020809339,0.18281633,0.00046822542,0.00025173216,0.0018622491,0.022913676,0.07121728,0.37570938,0.000016985903,0.0023389547,0.34201655],"study_design_scores_gemma":[0.0008842042,0.0006941139,0.02162254,0.00021441192,0.00006567138,0.0019338252,0.031971462,0.88873625,0.04850401,0.00009941699,0.0049924,0.00028169694],"about_ca_topic_score_codex":0.0010670166,"about_ca_topic_score_gemma":0.00003164016,"teacher_disagreement_score":0.81751895,"about_ca_system_score_codex":0.000008581266,"about_ca_system_score_gemma":0.00007164608,"threshold_uncertainty_score":0.38131535},"labels":[],"label_agreement":null},{"id":"W3137028577","doi":"10.1016/j.petrol.2021.108664","title":"A cluster-based approach for visualizing and categorizing the impacts of shale barrier configurations on SAGD production","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Oil shale; Multidimensional scaling; Scaling; Cluster analysis; Workflow; Petroleum engineering; Matrix (chemical analysis); Cluster (spacecraft); Geology; Tight oil; Computer science; Data mining; Mathematics; Geometry; Artificial intelligence; Materials science; Machine learning","score_opus":0.018949858475265948,"score_gpt":0.27629865669160103,"score_spread":0.2573487982163351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137028577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6553024,0.000448762,0.34379014,0.00008747916,0.00023726845,0.000050825944,0.0000016900595,0.000016808328,0.00006462917],"genre_scores_gemma":[0.9743966,0.000045129058,0.025397958,0.0000116076735,0.00012227266,0.000004537322,6.8888374e-7,0.000012849769,0.000008381955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991796,0.000014192678,0.0002652429,0.00010579483,0.00026307328,0.00017211126],"domain_scores_gemma":[0.9993338,0.00016961261,0.00006139537,0.00011207693,0.00022956895,0.00009355761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012137017,0.00009775386,0.00016757495,0.00022353131,0.00010664747,0.00008708151,0.00009200415,0.000032427684,9.4509966e-7],"category_scores_gemma":[0.0007369852,0.00007402812,0.00004284231,0.00032368125,0.000051126437,0.0002696024,0.000011482803,0.00015089454,4.0010487e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056618787,0.0000057669704,0.00007146742,0.000111640264,0.000010423359,5.4358094e-7,0.00019237785,0.7841906,0.21492483,0.00015560475,0.000013470745,0.0003176115],"study_design_scores_gemma":[0.00031116547,0.000061920204,0.0011197097,0.00007179426,0.000016964268,0.000041569532,0.0002386329,0.9301734,0.067587346,0.000012346439,0.0002865222,0.00007862695],"about_ca_topic_score_codex":0.0000010454839,"about_ca_topic_score_gemma":2.7511356e-7,"teacher_disagreement_score":0.31909418,"about_ca_system_score_codex":0.000047012654,"about_ca_system_score_gemma":0.00007982062,"threshold_uncertainty_score":0.30187792},"labels":[],"label_agreement":null},{"id":"W3139053975","doi":"10.1016/j.petrol.2021.108687","title":"Large-scale triaxial experimental investigation of geomechanical dilation start-up for SAGD dual horizontal wells in shallow heavy oil reservoirs","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Natural Science Foundation of China","keywords":"Dilation (metric space); Geology; Petroleum engineering; Time dilation; Geotechnical engineering; Mechanics; Mathematics; Geometry; Physics","score_opus":0.011033723047309487,"score_gpt":0.22929397092691692,"score_spread":0.21826024787960743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139053975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897089,0.00064019224,0.008910346,0.00014155905,0.00051272893,0.000023440285,0.0000061620763,0.000015728938,0.00004092996],"genre_scores_gemma":[0.99777794,0.00010484104,0.0018712406,0.000008998206,0.0001910644,0.0000035940168,0.0000031615987,0.000013735954,0.000025417836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856114,0.000015427071,0.00048996,0.00015242085,0.00048707964,0.00029398646],"domain_scores_gemma":[0.99944043,0.00006737601,0.00008417659,0.000107521395,0.00013873028,0.0001617887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011227031,0.00012212785,0.0003018619,0.0003798752,0.00006409487,0.00005792051,0.000133583,0.000071852715,0.000009566131],"category_scores_gemma":[0.00016684418,0.000113972754,0.00010387897,0.00046321173,0.00004777042,0.00050869194,0.00004112128,0.00021859245,3.8217516e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004720087,0.000030671486,0.00047824273,0.00009727708,0.000027062724,0.00001510472,0.0010344784,0.5355352,0.46242586,0.000026848513,0.000044814835,0.00023722103],"study_design_scores_gemma":[0.0014593181,0.00020217102,0.0032802084,0.00017389757,0.000027548085,0.000049294835,0.0015576108,0.69803804,0.29442018,0.00002589784,0.0005904717,0.0001753662],"about_ca_topic_score_codex":0.000010170934,"about_ca_topic_score_gemma":0.000027899645,"teacher_disagreement_score":0.16800569,"about_ca_system_score_codex":0.00016274459,"about_ca_system_score_gemma":0.00011059623,"threshold_uncertainty_score":0.46476743},"labels":[],"label_agreement":null},{"id":"W3141383650","doi":"10.1016/j.petrol.2021.108748","title":"An analytical tool to forecast horizontal well injectivity in viscous oil polymer floods","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Reservoir simulation; Enhanced oil recovery; Oil field; Flow (mathematics); Polymer; Viscosity; Computer science; Geology; Mechanics; Materials science","score_opus":0.0057539927200963015,"score_gpt":0.23505414042803977,"score_spread":0.22930014770794346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141383650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830678,0.0002581439,0.015313965,0.00004459713,0.00033627514,0.000012109576,0.0000017015634,0.000055036387,0.00091036805],"genre_scores_gemma":[0.994243,0.00008563108,0.0054687564,0.000025126858,0.0001338259,0.0000022209765,1.844514e-7,0.000018334813,0.000022904545],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987536,0.000008863712,0.00030303161,0.00017002688,0.0004065121,0.00035795502],"domain_scores_gemma":[0.9994619,0.000032699394,0.000029491755,0.00015227107,0.00010546215,0.00021816822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006947447,0.00014088854,0.0002517517,0.0005071852,0.000035522786,0.00012387951,0.00021464628,0.000054833286,0.000010314097],"category_scores_gemma":[0.00014015542,0.00013893872,0.000048127426,0.00077722623,0.00003794203,0.00093604525,0.000045868434,0.0003221683,0.0000018404039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014896615,0.000046845464,0.0013158148,0.000046017623,0.0000137428615,0.00018994324,0.00017559768,0.13506845,0.82306,0.00016552888,0.000046497888,0.039856687],"study_design_scores_gemma":[0.00043780654,0.00050434214,0.01771093,0.00025799748,0.000019301726,0.0006849551,0.00019581495,0.52864105,0.45009303,0.00003354703,0.00095177005,0.00046946935],"about_ca_topic_score_codex":0.000007671867,"about_ca_topic_score_gemma":0.000025511135,"teacher_disagreement_score":0.3935726,"about_ca_system_score_codex":0.000257815,"about_ca_system_score_gemma":0.00011258734,"threshold_uncertainty_score":0.56657565},"labels":[],"label_agreement":null},{"id":"W3156858605","doi":"10.1016/j.petrol.2021.108799","title":"In-situ upgrading in a dolomite porous medium: A kinetic model comparison and nanocatalyst deposition study","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Secretaría de Energía de México; Consejo Nacional de Ciencia y Tecnología; University of Calgary","keywords":"Dolomite; Porosity; Energy-dispersive X-ray spectroscopy; Nanomaterial-based catalyst; Kinetic energy; Materials science; Chemical engineering; Mineralogy; Scanning electron microscope; Chemistry; Metallurgy; Metal; Composite material","score_opus":0.010322093218870973,"score_gpt":0.2467450308006959,"score_spread":0.23642293758182492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156858605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974211,0.0012885373,0.0008310518,0.00012907454,0.00003845691,0.0000035023238,3.4622624e-7,0.000006470679,0.00028148288],"genre_scores_gemma":[0.99887604,0.00008615119,0.0009163177,0.0000149501975,0.000046878482,0.000001456624,3.3829795e-7,0.0000065775134,0.00005126927],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987566,0.000008210302,0.0004036715,0.00019840011,0.000398651,0.00023450468],"domain_scores_gemma":[0.9995506,0.00003332959,0.00012435124,0.00008815703,0.00008949492,0.00011405978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006836374,0.000111183246,0.00031067146,0.00044934073,0.000064852415,0.00014068001,0.00013729888,0.000036893627,0.0000016134506],"category_scores_gemma":[0.00014012215,0.00010313391,0.000028079374,0.0005713752,0.000048322443,0.00047636227,0.000055054108,0.00028697104,1.4666281e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010900456,0.00010299486,0.023850394,0.00006192942,0.00001248327,0.00019975648,0.0010083206,0.05556019,0.91816413,0.000004846651,0.0000019925483,0.0010220757],"study_design_scores_gemma":[0.0016975912,0.00007956438,0.018249871,0.00054130785,0.00009245745,0.0007176763,0.003974459,0.9077803,0.066551685,0.00002591702,0.00002059169,0.00026861802],"about_ca_topic_score_codex":0.00002087436,"about_ca_topic_score_gemma":0.00006921837,"teacher_disagreement_score":0.85222006,"about_ca_system_score_codex":0.00012250114,"about_ca_system_score_gemma":0.00012951677,"threshold_uncertainty_score":0.42056787},"labels":[],"label_agreement":null},{"id":"W3157575065","doi":"10.1016/j.petrol.2021.108735","title":"Optimization of steam injection in SAGD using reinforcement learning","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"Reinforcement learning; Steam injection; Time horizon; Bellman equation; Production (economics); Reservoir simulation; Function (biology); Mathematical optimization; Computer science; Petroleum engineering; Engineering; Mathematics; Artificial intelligence","score_opus":0.013827874584412776,"score_gpt":0.2541123855040688,"score_spread":0.240284510919656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157575065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6152221,0.0003089216,0.38414428,0.0000030537162,0.00020140847,0.000009696669,5.7909734e-8,0.0000117720765,0.00009875195],"genre_scores_gemma":[0.96310306,0.0001399978,0.036691964,0.0000017496925,0.000044941018,3.2074269e-7,1.8848151e-7,0.00000944275,0.000008354255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911433,0.000010131303,0.00035277437,0.00006750522,0.00030429024,0.00015094486],"domain_scores_gemma":[0.9995997,0.00003499564,0.000064710155,0.000062133855,0.00018057963,0.00005789733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089580426,0.00007535329,0.00016832465,0.0004741202,0.000029059343,0.000033336466,0.000072698,0.000034228495,0.0000049355685],"category_scores_gemma":[0.00025503006,0.00007743268,0.000029065295,0.0006605239,0.000019667048,0.0004414798,0.000020310075,0.00019920318,7.3890355e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002364677,0.0000032024918,0.00087688066,0.000051631167,0.000005596749,0.0000047859903,0.00012257071,0.91824615,0.080349304,0.000017931194,6.749663e-7,0.00031889338],"study_design_scores_gemma":[0.00026936486,0.000038993458,0.0011859959,0.00011829308,0.000005843095,0.000059468995,0.00016207929,0.98564726,0.012369533,0.0000025479353,0.000070565584,0.000070052214],"about_ca_topic_score_codex":0.000003392337,"about_ca_topic_score_gemma":3.5783654e-7,"teacher_disagreement_score":0.34788096,"about_ca_system_score_codex":0.00015134965,"about_ca_system_score_gemma":0.00007239813,"threshold_uncertainty_score":0.31576133},"labels":[],"label_agreement":null},{"id":"W3157860181","doi":"10.1016/j.petrol.2021.108836","title":"Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Backpropagation; Conjugate gradient method; Asphaltene; Artificial neural network; Pyrolysis; Residual; Biological system; Computer science; Mathematics; Algorithm; Chemistry; Artificial intelligence; Organic chemistry","score_opus":0.012278131418948185,"score_gpt":0.2556280656337139,"score_spread":0.2433499342147657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157860181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84296286,0.0014837912,0.15534577,0.000060373124,0.000036677127,0.0000013666864,0.0000045164297,0.000007972358,0.00009669301],"genre_scores_gemma":[0.9686475,0.0004006964,0.03066717,0.0000115361145,0.00019830151,0.0000013553381,0.0000019723138,0.000011853684,0.00005965314],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984241,0.000011382398,0.00053043995,0.00029365259,0.0004657418,0.00027466528],"domain_scores_gemma":[0.99896497,0.00007558738,0.0002922709,0.00028193716,0.00023364782,0.00015157649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112913,0.00013296316,0.00040758855,0.00020740915,0.00012495603,0.00007975999,0.00038334835,0.00005300684,0.0000035178357],"category_scores_gemma":[0.00024181989,0.00012258971,0.00007495142,0.0005653186,0.000041748444,0.0006687349,0.0002138621,0.00021489637,6.607344e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017536635,0.000007811647,0.00014035754,0.00014387695,0.000030306677,0.0000024486412,0.00007246838,0.41309494,0.54691815,0.0000014877966,2.0174352e-7,0.039570414],"study_design_scores_gemma":[0.0002644324,0.000016245256,0.0001792878,0.00031452638,0.000118523276,0.00006517688,0.00023941544,0.8123082,0.18634972,0.000004262934,0.00002423773,0.0001159995],"about_ca_topic_score_codex":0.000022488503,"about_ca_topic_score_gemma":0.0000063496336,"teacher_disagreement_score":0.39921322,"about_ca_system_score_codex":0.00004604417,"about_ca_system_score_gemma":0.00008507605,"threshold_uncertainty_score":0.49990633},"labels":[],"label_agreement":null},{"id":"W3162433073","doi":"10.1016/j.petrol.2021.108920","title":"Fluid experiments on the dump bailing method in the plug and abandonment of oil and gas wells","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Petroleum Technology Alliance Canada","keywords":"Spark plug; Petroleum engineering; Fluid dynamics; Geology; Volumetric flow rate; Mixing (physics); Flow (mathematics); Drilling fluid; Plug flow; Wellbore; Viscosity; Mechanics; Geotechnical engineering; Materials science; Engineering; Mechanical engineering; Drilling","score_opus":0.009613347229271837,"score_gpt":0.22248552548387668,"score_spread":0.21287217825460483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162433073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911329,0.0033752618,0.004604806,0.00028293428,0.00022743955,0.000014255299,6.827765e-7,0.0000095054975,0.00035221508],"genre_scores_gemma":[0.99598956,0.0019739443,0.0019186785,0.000033897828,0.00005976837,0.000001863743,6.562641e-8,0.000010352319,0.0000118578555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906105,0.000016583197,0.00026228983,0.00010780324,0.00034650482,0.00020578767],"domain_scores_gemma":[0.9995325,0.00020747082,0.000038713937,0.00011565902,0.000036804253,0.00006885439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014913791,0.00011763283,0.00018785273,0.0001621771,0.000058889033,0.00008105926,0.00014691261,0.00002700123,0.0000024906776],"category_scores_gemma":[0.000109718014,0.000075275915,0.000028711926,0.00025215358,0.00005267142,0.00016586855,0.000035135654,0.00022845514,1.980754e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005569246,0.000014119318,0.00026435498,0.000090301946,0.000022637258,0.00002910999,0.0019822046,0.6889,0.30195192,0.00040139587,0.000019527166,0.006318872],"study_design_scores_gemma":[0.0005910302,0.000090826295,0.003889114,0.00048086033,0.000024357245,0.00032915996,0.0012691509,0.87738293,0.11356328,0.000037347876,0.0021426936,0.00019924421],"about_ca_topic_score_codex":0.0000037556408,"about_ca_topic_score_gemma":5.6110684e-7,"teacher_disagreement_score":0.18848294,"about_ca_system_score_codex":0.00003568191,"about_ca_system_score_gemma":0.000021522132,"threshold_uncertainty_score":0.30696627},"labels":[],"label_agreement":null},{"id":"W3162957447","doi":"10.1016/j.petrol.2021.108949","title":"Incorporating phase behavior constraints in the multi-objective optimization of a warm vaporized solvent injection process","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Petroleum Technology Development Fund; Canada First Research Excellence Fund","keywords":"Asphalt; Process engineering; Injector; Petroleum engineering; Oil sands; Environmentally friendly; Steam injection; Computer science; Environmental science; Materials science; Mechanical engineering; Engineering","score_opus":0.02021076342442469,"score_gpt":0.3043052930497719,"score_spread":0.2840945296253472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162957447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64370793,0.00013023525,0.35587958,0.000009671273,0.00019195468,0.000038083177,0.0000010346996,0.000012361265,0.000029184479],"genre_scores_gemma":[0.95491254,0.000029616436,0.04499479,0.0000030038443,0.000043530512,0.0000055228174,6.2544444e-7,0.000008944909,0.0000014110061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896485,0.00002377231,0.00039839535,0.000092395494,0.00036751968,0.000153086],"domain_scores_gemma":[0.99937975,0.000078556695,0.00010470397,0.00008351516,0.00029492672,0.000058561407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014101613,0.000098195,0.00019139094,0.00033166027,0.000045223485,0.000054586362,0.00013579353,0.000038941846,0.0000030845279],"category_scores_gemma":[0.00043011727,0.00008012742,0.00003876695,0.0007712526,0.000064763626,0.00040771923,0.000013079071,0.00024356908,6.287039e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005117533,0.00004365115,0.0006109474,0.000049641854,0.000006946483,0.000020341276,0.0007209943,0.9321275,0.06547059,0.000019084484,5.1028394e-7,0.000924724],"study_design_scores_gemma":[0.0010850147,0.00007682943,0.0018934752,0.00009169356,0.000016056025,0.00016811023,0.0009015038,0.9851596,0.010514445,0.000006804628,0.0000050172284,0.000081456936],"about_ca_topic_score_codex":0.0000019210966,"about_ca_topic_score_gemma":0.0000011448726,"teacher_disagreement_score":0.31120464,"about_ca_system_score_codex":0.00007882133,"about_ca_system_score_gemma":0.00011418003,"threshold_uncertainty_score":0.32675013},"labels":[],"label_agreement":null},{"id":"W3164687504","doi":"10.1016/j.petrol.2021.108988","title":"A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Computer Modelling Group; Shell Brasil; Schlumberger Foundation","keywords":"Anomaly detection; Analytics; Visual analytics; Series (stratigraphy); Time series; Anomaly (physics); Geology; Petroleum engineering; Data analysis; Computer science; Data mining; Visualization; Machine learning","score_opus":0.014437146335562576,"score_gpt":0.24519738895470655,"score_spread":0.23076024261914396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164687504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33605158,0.00006231266,0.6631463,0.00032086615,0.00005622083,0.000025544206,5.874817e-7,0.00002798205,0.00030859158],"genre_scores_gemma":[0.9422525,0.00002535953,0.057576127,0.000033647768,0.000055955206,0.0000023246625,2.581179e-7,0.0000039775086,0.000049859787],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989752,0.000010254188,0.00024679097,0.00024543493,0.0003392964,0.00018301007],"domain_scores_gemma":[0.9993048,0.000017945778,0.00007344784,0.00032615647,0.0001525543,0.00012510846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092940097,0.00007434266,0.00013559026,0.00042104843,0.00008407448,0.00021364458,0.00069409894,0.000028566323,6.239613e-7],"category_scores_gemma":[0.00014440612,0.000070380775,0.000020583117,0.0016204899,0.000032110103,0.0012889126,0.00037751652,0.00015848079,0.0000012701234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002280173,0.00019708005,0.0007231152,0.000046308647,0.000022123782,0.0000656675,0.00042454028,0.08062269,0.895083,0.0028005508,0.0001409678,0.019851167],"study_design_scores_gemma":[0.00008635812,0.00013329591,0.004085036,0.00002221553,0.000004294315,0.00034302598,0.000054791773,0.96752816,0.025777804,0.00006426823,0.0018000099,0.00010075804],"about_ca_topic_score_codex":0.0000073783344,"about_ca_topic_score_gemma":0.000004851194,"teacher_disagreement_score":0.88690543,"about_ca_system_score_codex":0.00008290849,"about_ca_system_score_gemma":0.00014591104,"threshold_uncertainty_score":0.28700447},"labels":[],"label_agreement":null},{"id":"W3165683935","doi":"10.1016/j.petrol.2021.108941","title":"THM response of a borehole in naturally fractured media","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Borehole; Fluid dynamics; Shear (geology); Geotechnical engineering; Pore water pressure; Hydraulic fracturing; Mechanics; Geology; Porosity; Porous medium; Materials science; Composite material","score_opus":0.005957153283947318,"score_gpt":0.2017324480396919,"score_spread":0.19577529475574457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165683935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032694,0.0023473098,0.006782285,0.000070626826,0.0004130283,0.000009586334,0.0000010187943,0.000009525724,0.000039705308],"genre_scores_gemma":[0.9956883,0.0002499634,0.003983674,0.000013960491,0.00005163356,3.5517593e-7,1.1866226e-7,0.0000086069485,0.0000033913536],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991194,0.00000697423,0.00028188239,0.00007497013,0.0003352897,0.00018145959],"domain_scores_gemma":[0.99955714,0.00007024251,0.000045237015,0.000082372724,0.00015523023,0.000089785404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009598897,0.00007661051,0.0001793046,0.00034181535,0.000020389174,0.000030223764,0.00013745969,0.00003855697,0.0000027716508],"category_scores_gemma":[0.00042160234,0.00006851138,0.000035516645,0.0003860733,0.000014553745,0.00028544714,0.000031602613,0.00023444265,1.7051286e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013974659,0.0000045677007,0.000035590172,0.00001745786,0.0000043489886,0.000046021825,0.00041631694,0.36408773,0.6347684,0.00005596767,0.000010806721,0.0005388104],"study_design_scores_gemma":[0.0004345701,0.000045072575,0.007310951,0.00020439236,0.000007786052,0.0001629998,0.0002692937,0.84042263,0.1502463,0.00006780826,0.0007001599,0.00012804034],"about_ca_topic_score_codex":0.0000016033816,"about_ca_topic_score_gemma":0.0000032581129,"teacher_disagreement_score":0.4845221,"about_ca_system_score_codex":0.00006751932,"about_ca_system_score_gemma":0.00012424565,"threshold_uncertainty_score":0.27938128},"labels":[],"label_agreement":null},{"id":"W3166121280","doi":"10.1016/j.petrol.2021.108947","title":"Improved abnormal formation pressure detection from drilling performance data in a partially observable setting","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Drilling; Petroleum engineering; Rate of penetration; Measurement while drilling; Drilling fluid; Drilling engineering; Penetration rate; Differential pressure; Wellbore; Differential (mechanical device); Geology; Computer science; Data mining; Engineering; Mechanical engineering; Mechanics","score_opus":0.00974270795758241,"score_gpt":0.191019827676632,"score_spread":0.18127711971904958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166121280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8907399,0.0014781784,0.10694403,0.000020372961,0.00068352924,0.00002427614,0.0000044890567,0.00005694825,0.000048242302],"genre_scores_gemma":[0.9941438,0.00044114524,0.0051524243,0.000006877836,0.00022862371,0.0000013762575,0.0000032916682,0.000017071447,0.000005408148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876493,0.0000068354393,0.00041428895,0.00016083491,0.00032073233,0.0003323903],"domain_scores_gemma":[0.99943143,0.00004691799,0.00007061191,0.00022248758,0.000119893615,0.000108669614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979563,0.00013320675,0.00019779566,0.00022931461,0.00007710784,0.00016115223,0.0002872282,0.000053975094,0.0000026731125],"category_scores_gemma":[0.00017843406,0.00013562971,0.000024438115,0.000433712,0.000018942927,0.0023611889,0.00008360684,0.00034209955,6.900239e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003217618,0.00000358772,0.0005498151,0.000083844425,0.000010129565,0.000008962103,0.0001556345,0.7536711,0.2402864,0.0000014492977,0.0000028406278,0.005222999],"study_design_scores_gemma":[0.000267521,0.000021370946,0.0059599015,0.00021431161,0.000018742201,0.0000774093,0.00009545134,0.9286857,0.063485965,0.0000022712804,0.0010336695,0.00013766138],"about_ca_topic_score_codex":0.0000113981505,"about_ca_topic_score_gemma":0.000024156185,"teacher_disagreement_score":0.17680043,"about_ca_system_score_codex":0.00008239624,"about_ca_system_score_gemma":0.0000692546,"threshold_uncertainty_score":0.5530819},"labels":[],"label_agreement":null},{"id":"W3170802253","doi":"10.1016/j.petrol.2021.109089","title":"Efficient tracking and estimation of solvent chamber development during warm solvent injection in heterogeneous reservoirs via machine learning","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Solvent; Process engineering; Computer science; Tracking (education); Oil shale; Petroleum engineering; Asphalt; Environmental science; Simulation; Materials science; Chemistry; Geology; Waste management; Engineering; Organic chemistry","score_opus":0.010930670042987626,"score_gpt":0.24179744317852717,"score_spread":0.23086677313553955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170802253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138346,0.0012787479,0.08459063,0.000012681322,0.0002164714,0.000028683044,2.705603e-7,0.000026287722,0.000011653075],"genre_scores_gemma":[0.9839963,0.00011855884,0.015827665,0.0000011442501,0.000031450443,0.0000018160392,4.932606e-7,0.000016533102,0.0000060861516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986625,0.000019191019,0.00050497754,0.0001392861,0.00042455035,0.00024952873],"domain_scores_gemma":[0.99952614,0.000056294783,0.000088962144,0.00008046146,0.00013349738,0.000114656505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011794184,0.00013566314,0.00024443836,0.0005293649,0.00008044105,0.00005554411,0.00007087366,0.000046430716,0.0000029778225],"category_scores_gemma":[0.00021411874,0.00013535048,0.000036924168,0.0004477408,0.00002947916,0.00019092254,0.000049944705,0.00029365203,1.8675973e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006672645,0.000012202819,0.0009694779,0.00016075904,0.000011694951,0.000026521817,0.0006150373,0.8383544,0.15813544,0.0000030646127,1.04065656e-7,0.0017046266],"study_design_scores_gemma":[0.0003978292,0.00003681877,0.01734884,0.00021557319,0.000006629182,0.000313747,0.00006884986,0.91174895,0.069712415,0.0000031859677,0.000031316715,0.00011583425],"about_ca_topic_score_codex":0.000004044361,"about_ca_topic_score_gemma":0.0000043330733,"teacher_disagreement_score":0.08842302,"about_ca_system_score_codex":0.00019056014,"about_ca_system_score_gemma":0.0000501658,"threshold_uncertainty_score":0.55194324},"labels":[],"label_agreement":null},{"id":"W3173706298","doi":"10.1016/j.petrol.2021.109026","title":"Calculation and controlled factors of hydrocarbon expulsion efficiency using corrected pyrolysis parameters: A Songliao case study","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Hydrocarbon; Kerogen; Pyrolysis; Source rock; Geology; Maturity (psychological); Petroleum engineering; Structural basin; Chemistry; Geomorphology; Organic chemistry","score_opus":0.015325556826961245,"score_gpt":0.23936247860265586,"score_spread":0.22403692177569462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173706298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885566,0.0007427831,0.010400259,0.000009371071,0.0002012174,0.000058838355,5.4785255e-7,0.000020203337,0.000010129644],"genre_scores_gemma":[0.9993893,0.00008201358,0.00048678875,0.000001919866,0.000024564793,0.0000011924002,2.368491e-7,0.000010958853,0.000003052716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860024,0.000029947329,0.0005172319,0.00014567038,0.0005151168,0.00019176303],"domain_scores_gemma":[0.9992435,0.000084390645,0.00014074061,0.00012022157,0.00025271575,0.00015845032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006825278,0.00014381683,0.0004647754,0.000618885,0.00009541112,0.00009113831,0.0000834121,0.00004281525,0.0000024042256],"category_scores_gemma":[0.00030981094,0.00011508914,0.000090324305,0.0009343715,0.00005880429,0.00042938677,0.00003289483,0.00015902721,6.594273e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001164432,0.00004718489,0.0034782833,0.000026022435,0.00008231302,0.00025563952,0.0016111882,0.8057229,0.18852752,0.0000015593437,5.319099e-7,0.00023520194],"study_design_scores_gemma":[0.0011870094,0.000107241554,0.00097550196,0.000054548465,0.00016597648,0.0005085055,0.005505601,0.98228467,0.009089602,0.0000019055319,0.0000019744402,0.000117497206],"about_ca_topic_score_codex":0.00004033548,"about_ca_topic_score_gemma":0.000014426345,"teacher_disagreement_score":0.17943792,"about_ca_system_score_codex":0.00007615816,"about_ca_system_score_gemma":0.0000654002,"threshold_uncertainty_score":0.4693199},"labels":[],"label_agreement":null},{"id":"W3175398225","doi":"10.1016/j.petrol.2021.109061","title":"Carbonate strength classification based on depositional textures and fossil content of the Lower Eocene Drunka Formation, Assiut Area, central Egypt","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Petrography; Petrophysics; Geology; Carbonate; Mineralogy; Grainstone; Diagenesis; Sedimentary depositional environment; Carbonate rock; Facies; Porosity; Compressive strength; Sedimentary rock; Geochemistry; Geotechnical engineering; Geomorphology; Composite material; Materials science; Metallurgy","score_opus":0.013585609256420479,"score_gpt":0.19646320548052493,"score_spread":0.18287759622410446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175398225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881475,0.0004911504,0.009818789,0.00083954417,0.0002829767,0.000024263294,0.0000046679393,0.000012767771,0.00037832125],"genre_scores_gemma":[0.99947435,0.000107623884,0.00032089587,0.000032732194,0.000044365046,0.0000012411743,0.000001010144,0.0000054445363,0.000012347437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990164,0.0000120816685,0.0002572554,0.00008099188,0.00048458567,0.00014868121],"domain_scores_gemma":[0.99946034,0.000036032925,0.00008817215,0.000099845136,0.0002106795,0.0001049426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025527712,0.00008894853,0.00013940483,0.00017977695,0.00008293116,0.00007542939,0.00011174012,0.00003286966,0.0000051821244],"category_scores_gemma":[0.000109438224,0.00006164603,0.00006202233,0.0003358273,0.00006556464,0.0003183418,0.000015360618,0.00015554597,1.0939791e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008062737,0.00003206636,0.0011062238,0.000037477508,0.000023806515,0.0000057021234,0.00012392894,0.81189483,0.18590482,0.00020760721,0.000056131437,0.0005993584],"study_design_scores_gemma":[0.00026665736,0.00003265549,0.049711004,0.00009381082,0.000023741422,0.000025837915,0.00016609841,0.92673105,0.022688072,0.000008883694,0.00018434979,0.000067849025],"about_ca_topic_score_codex":0.0000016804731,"about_ca_topic_score_gemma":0.000004859475,"teacher_disagreement_score":0.16321674,"about_ca_system_score_codex":0.00008160479,"about_ca_system_score_gemma":0.00008945365,"threshold_uncertainty_score":0.25138524},"labels":[],"label_agreement":null},{"id":"W3175509498","doi":"10.1016/j.petrol.2021.109132","title":"Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Academy of Neonatal Nursing","keywords":"Drilling fluid; Support vector machine; Decision tree; Rate of penetration; Drilling; Petroleum engineering; Geology; Mathematics; Algorithm; Statistics; Soil science; Artificial intelligence; Computer science; Engineering; Mechanical engineering","score_opus":0.032246538677173565,"score_gpt":0.23156568184332374,"score_spread":0.19931914316615018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175509498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8281662,0.0012443993,0.17026748,0.00001029336,0.00023515882,0.000048175807,0.0000024222036,0.000020398194,0.0000054839184],"genre_scores_gemma":[0.99348474,0.000026728276,0.0063637146,0.00000878998,0.00009253952,0.0000011507833,2.619547e-7,0.000021888663,2.1835545e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848783,0.000017543243,0.00043258764,0.00021165627,0.0005597566,0.0002906387],"domain_scores_gemma":[0.99929047,0.00014454183,0.000065663226,0.00014215687,0.00019249352,0.00016467411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071171,0.00020143174,0.00031414197,0.00016724684,0.00019276899,0.00014137564,0.00011213279,0.00004289298,0.0000020626449],"category_scores_gemma":[0.00017854197,0.00014838658,0.000049459577,0.00018197925,0.00004289653,0.00029493406,0.00008135049,0.0002756707,7.4915164e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016935086,0.000019478335,0.0019851485,0.00002147912,0.00003622143,0.00031871535,0.0022217426,0.86081123,0.13386907,0.0000014229998,4.6098026e-7,0.0006981199],"study_design_scores_gemma":[0.0005510692,0.00015427299,0.00038974517,0.0002686648,0.000060969374,0.0005288238,0.0042504403,0.9472998,0.046332207,0.0000029361233,0.0000021233732,0.00015898162],"about_ca_topic_score_codex":0.00015601031,"about_ca_topic_score_gemma":0.000029008032,"teacher_disagreement_score":0.16531852,"about_ca_system_score_codex":0.0000988626,"about_ca_system_score_gemma":0.000066792774,"threshold_uncertainty_score":0.6051029},"labels":[],"label_agreement":null},{"id":"W3177609896","doi":"10.1016/j.petrol.2021.109213","title":"Production decline analysis for a fractured vertical well with reorientated fractures in an anisotropic formation with an arbitrary shape using the boundary element method","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Fracture (geology); Anisotropy; Mechanics; Isotropy; Flow (mathematics); Boundary element method; Laplace transform; Finite element method; Boundary (topology); Boundary value problem; Matrix (chemical analysis); Geometry; Mathematics; Geology; Mathematical analysis; Materials science; Geotechnical engineering; Physics; Engineering; Structural engineering","score_opus":0.00980993989348476,"score_gpt":0.26841226781339983,"score_spread":0.25860232791991505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177609896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6460943,0.00017604214,0.35344473,0.00017913365,0.00005036647,0.00003698112,6.813653e-7,0.000013899984,0.00000387899],"genre_scores_gemma":[0.9462851,0.000035520894,0.05348444,0.00005381439,0.00011865045,0.000003555973,0.000004841179,0.000012715144,0.000001356566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872637,0.000030987725,0.00032549922,0.00018080084,0.00047437547,0.00026195648],"domain_scores_gemma":[0.99934113,0.000040988598,0.00006831752,0.00017829605,0.00023847881,0.00013276556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008836618,0.00013971239,0.00026591527,0.00047655313,0.00016141999,0.00020662672,0.00016075869,0.000039697064,0.0000073788988],"category_scores_gemma":[0.000061481,0.00008392436,0.000054529704,0.0011936231,0.000053657066,0.0011671202,0.00001697733,0.0002764449,5.2671925e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067893176,0.00003083032,0.0014310883,0.000034562858,0.00012886993,0.000021255322,0.0005371036,0.9753375,0.021865468,0.000003903111,0.0000021205658,0.0005393749],"study_design_scores_gemma":[0.00036778464,0.00022032656,0.019720312,0.000047428377,0.00031362337,0.00011680975,0.00063039135,0.9574559,0.020678816,0.000017305863,0.00030639782,0.00012490837],"about_ca_topic_score_codex":0.000012416049,"about_ca_topic_score_gemma":0.00014917983,"teacher_disagreement_score":0.3001908,"about_ca_system_score_codex":0.00013760314,"about_ca_system_score_gemma":0.000118203556,"threshold_uncertainty_score":0.3422336},"labels":[],"label_agreement":null},{"id":"W3181392680","doi":"10.1016/j.petrol.2021.109211","title":"A review of experimental studies on the proppant settling in hydraulic fractures","year":2021,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Hydraulic fracturing; Settling; Geology; Fracturing fluid; Petroleum engineering; Geotechnical engineering; Rheology; Fracture (geology); Hydraulic conductivity; Wetting; Materials science; Environmental science; Soil science; Composite material","score_opus":0.031484083803528566,"score_gpt":0.3219606132234304,"score_spread":0.2904765294199018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181392680","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001279201,0.9981261,0.000027230442,0.000077722296,0.0003288271,0.00008112873,0.0000013648337,0.000010993085,0.000067433815],"genre_scores_gemma":[0.016568765,0.9831202,0.00009038731,0.00005199113,0.00013026714,0.000010704695,4.3984315e-7,0.000022879376,0.0000043487066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"systematic_review","domain_scores_codex":[0.9980148,0.00004355483,0.000921735,0.00016905455,0.00058856216,0.0002622692],"domain_scores_gemma":[0.9990178,0.00025030685,0.00029031787,0.0002320594,0.00012053282,0.000089012894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019938427,0.00028392416,0.00153175,0.00059579546,0.00005484841,0.00004615672,0.00043418503,0.000070312686,0.000006523921],"category_scores_gemma":[0.00070069777,0.00015533477,0.0003214323,0.00084000314,0.00010352019,0.00015044668,0.00007682839,0.000706761,8.0022596e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036739084,0.000115390976,0.00000280928,0.18497287,0.0013034589,0.00031637968,0.0014307401,0.6772224,0.0007446795,0.00005455615,0.0016274694,0.13220562],"study_design_scores_gemma":[0.00015015404,0.0001207172,0.0000054134925,0.49530798,0.0005148512,0.00034663203,0.0005818164,0.013595528,0.0011178631,0.0000020821317,0.48778608,0.000470882],"about_ca_topic_score_codex":0.0000020565788,"about_ca_topic_score_gemma":5.2091343e-7,"teacher_disagreement_score":0.66362685,"about_ca_system_score_codex":0.00022961151,"about_ca_system_score_gemma":0.00017377023,"threshold_uncertainty_score":0.6334368},"labels":[],"label_agreement":null},{"id":"W3182927115","doi":"10.1016/j.petrol.2021.109214","title":"Analytical and numerical study of thermal and solvent-based gravity drainage for heavy oil recovery","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Drainage; Soil vapor extraction; Work (physics); Solvent; Mechanics; Chemistry; Environmental science; Thermodynamics; Materials science; Geology; Oil sands; Physics; Contamination; Organic chemistry","score_opus":0.009488562770058807,"score_gpt":0.23973575420743262,"score_spread":0.23024719143737382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182927115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96567464,0.00047393318,0.033545237,0.00004228514,0.00012241951,0.000025798594,0.000002553661,0.000023692628,0.00008944152],"genre_scores_gemma":[0.9938567,0.0000634871,0.0060036792,0.000011643498,0.000041228905,0.0000031196535,1.5844579e-7,0.000012156584,0.000007782013],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991023,0.000009716263,0.00028119184,0.0001352125,0.00026632682,0.0002052782],"domain_scores_gemma":[0.9994556,0.00013081243,0.00005623106,0.00009288784,0.00013658837,0.00012792069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066457945,0.00011275221,0.00028083893,0.00020368198,0.000051224015,0.000068047935,0.000092895825,0.000037557074,0.0000014599144],"category_scores_gemma":[0.00021690363,0.000102566315,0.00004236473,0.00024652615,0.000068717665,0.00033020656,0.00003651031,0.0001672551,3.6842245e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012904947,0.00025809204,0.0048001166,0.0006287011,0.00012025845,0.00009611053,0.0005013855,0.23012328,0.72317743,0.00028964077,0.00005286942,0.039823063],"study_design_scores_gemma":[0.0016118722,0.0016625075,0.027670013,0.0002923931,0.00010818328,0.00016787963,0.0005531512,0.8689946,0.09809636,0.0001368576,0.0003259215,0.00038029457],"about_ca_topic_score_codex":0.000002565345,"about_ca_topic_score_gemma":0.0000014286717,"teacher_disagreement_score":0.6388713,"about_ca_system_score_codex":0.000051315503,"about_ca_system_score_gemma":0.000061876046,"threshold_uncertainty_score":0.4182533},"labels":[],"label_agreement":null},{"id":"W3185282379","doi":"10.1016/j.petrol.2021.109283","title":"Quantification of gas exsolution and preferential diffusion for alkane solvent(s)–CO2–heavy oil systems under nonequilibrium conditions","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Non-equilibrium thermodynamics; Mass transfer; Chemistry; Diffusion; Thermodynamics; Bubble; Alkane; Enhanced oil recovery; Molecular diffusion; Diffusion equation; Mechanics; Hydrocarbon; Petroleum engineering; Chromatography; Physics; Geology; Organic chemistry","score_opus":0.013455842530343138,"score_gpt":0.23722874603142188,"score_spread":0.22377290350107876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185282379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8534908,0.0011559378,0.14449488,0.000037515918,0.0006693252,0.000029274848,0.000009876354,0.00003696295,0.000075398566],"genre_scores_gemma":[0.9968151,0.00087792746,0.0021602847,0.0000020904588,0.00008324085,0.000006801313,0.0000034261577,0.000012846783,0.000038312934],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990913,0.0000071593977,0.0003402602,0.000115653136,0.0002659402,0.00017965196],"domain_scores_gemma":[0.99938095,0.00006135586,0.000103619976,0.00009932402,0.00026937207,0.000085382046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004222583,0.000096199816,0.00019788036,0.00023709414,0.00006152015,0.00007408459,0.00008904725,0.000051584047,0.0000022509387],"category_scores_gemma":[0.00009344648,0.000094369,0.00004269447,0.00020502704,0.00006201484,0.0005274467,0.000026067553,0.00011009081,1.673792e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065598465,0.000014018761,0.000035067016,0.0002295772,0.000012508081,9.020873e-7,0.00003679057,0.1185046,0.87983924,0.000712294,0.000051108524,0.0005573123],"study_design_scores_gemma":[0.00042383524,0.0001257127,0.0035934397,0.0005342474,0.00004815603,0.00015464553,0.00017307237,0.65390694,0.3401243,0.00010819939,0.0006382331,0.00016921695],"about_ca_topic_score_codex":0.0000032390392,"about_ca_topic_score_gemma":0.0000020797956,"teacher_disagreement_score":0.53971493,"about_ca_system_score_codex":0.00008508389,"about_ca_system_score_gemma":0.000061593004,"threshold_uncertainty_score":0.38482562},"labels":[],"label_agreement":null},{"id":"W3192057225","doi":"10.1016/j.petrol.2021.109263","title":"Analytical solutions of critical oil film thickness of negative spreading coefficient in a capillary corner","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Regina","funders":"","keywords":"Surface tension; Capillary action; Porous medium; Capillary pressure; Phase (matter); Contact angle; Mechanics; Porosity; Materials science; Thermodynamics; Surface energy; Colloid; Chemistry; Composite material; Physics","score_opus":0.011045621043899324,"score_gpt":0.2435973474780581,"score_spread":0.23255172643415878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192057225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96135736,0.0008453129,0.036464784,0.00006750002,0.00025957584,0.000011114431,0.000004328859,0.000021050033,0.0009689908],"genre_scores_gemma":[0.9947966,0.00016943434,0.004982704,0.0000061478095,0.00002566866,0.0000010762426,1.3173471e-7,0.000009045552,0.000009206795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878687,0.000012591672,0.00043548175,0.00010335357,0.00040032883,0.0002613535],"domain_scores_gemma":[0.9991358,0.00025216438,0.000056989284,0.00010245912,0.0003496059,0.000102981336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007860227,0.00009680244,0.00029822616,0.00042362485,0.00002788118,0.000021544862,0.00015166173,0.000052052834,0.00000857465],"category_scores_gemma":[0.0011861378,0.0000926247,0.000057706595,0.0007325036,0.00022048224,0.00033022312,0.00005506782,0.00027526767,2.0996028e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007949776,0.00005109267,0.0005158982,0.0003013902,0.000017582228,0.00006132338,0.0004802797,0.5917485,0.40346253,0.0022141924,0.000039697774,0.0010995719],"study_design_scores_gemma":[0.00024437738,0.000089318855,0.004628104,0.0007144742,0.000025839696,0.00021545238,0.00045703157,0.83530444,0.15801704,0.00011129403,0.00004601883,0.0001466231],"about_ca_topic_score_codex":0.000005326957,"about_ca_topic_score_gemma":0.000004480344,"teacher_disagreement_score":0.24544549,"about_ca_system_score_codex":0.00012985678,"about_ca_system_score_gemma":0.00015205397,"threshold_uncertainty_score":0.37771255},"labels":[],"label_agreement":null},{"id":"W3197553145","doi":"10.1016/j.petrol.2021.109444","title":"A semi-analytical mathematical model for the pressure transient analysis of multiple fractured horizontal well with secondary fractures","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Regina","funders":"","keywords":"Laplace transform; Superposition principle; Mechanics; Bilinear interpolation; Flow (mathematics); Fracture (geology); Geology; Mathematics; Geotechnical engineering; Physics; Mathematical analysis","score_opus":0.006264016121113514,"score_gpt":0.2163678451384557,"score_spread":0.21010382901734218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197553145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35440913,0.0018677114,0.6432066,0.00024455413,0.00005923022,0.000041938933,0.000014464421,0.000016980193,0.00013938123],"genre_scores_gemma":[0.9965906,0.000089461806,0.003173951,0.000020475618,0.00006047868,0.0000032147923,0.0000012527387,0.00001463315,0.00004592443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985761,0.000007447228,0.0003938143,0.0001513304,0.0006019408,0.00026938555],"domain_scores_gemma":[0.9990052,0.00028944074,0.000085374566,0.00020822493,0.00025044815,0.00016131671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006129422,0.00015786396,0.00049001,0.00037965516,0.00009372165,0.00007965528,0.00025813587,0.000064534186,0.00002903276],"category_scores_gemma":[0.0001707091,0.00009222468,0.00026754534,0.00072744844,0.00011138381,0.00022721227,0.000022612383,0.00034373434,1.7339921e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020860321,0.000024272578,0.00009463851,0.00010644609,0.0013979763,0.000010714796,0.00056153396,0.9901508,0.0072811353,0.000019267214,0.00008190863,0.00025046142],"study_design_scores_gemma":[0.00032792977,0.000046977977,0.0024717073,0.00004467728,0.002079257,0.00003976981,0.00022837982,0.9888957,0.0047050994,0.000009860328,0.0010348876,0.000115735216],"about_ca_topic_score_codex":0.0000031731472,"about_ca_topic_score_gemma":0.00001436992,"teacher_disagreement_score":0.6421815,"about_ca_system_score_codex":0.00003664387,"about_ca_system_score_gemma":0.00012430263,"threshold_uncertainty_score":0.37608132},"labels":[],"label_agreement":null},{"id":"W3199187422","doi":"10.1016/j.petrol.2021.109528","title":"Formulating a model emulsion replicating SAGD in-situ emulsions","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphaltene; Emulsion; Asphalt; Viscosity; Surface tension; Chemical engineering; API gravity; Enhanced oil recovery; Oil sands; Materials science; Light crude oil; Emulsified fuel; Steam injection; Chemistry; Petroleum engineering; Petroleum; Thermodynamics; Geology; Composite material; Organic chemistry","score_opus":0.008293877102172506,"score_gpt":0.23122575793924974,"score_spread":0.22293188083707724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199187422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9218778,0.00051354367,0.07554536,0.000047430025,0.0001332911,0.000021131924,5.0394834e-7,0.00007442654,0.0017865272],"genre_scores_gemma":[0.94526374,0.00024695342,0.05439227,0.00001735857,0.000046511064,0.0000023949483,1.604181e-7,0.0000166736,0.000013954512],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988125,0.000004448925,0.00039659816,0.00014087072,0.00034853682,0.00029707135],"domain_scores_gemma":[0.9994398,0.00005874767,0.000069045906,0.00015557041,0.0001581222,0.000118762844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060792203,0.000114792,0.00020351406,0.00037598147,0.00006438607,0.00007594068,0.00017647477,0.00004735378,0.000001734905],"category_scores_gemma":[0.00041875467,0.000112307265,0.000046400073,0.00057946873,0.000027092256,0.0007921222,0.000068341746,0.0003323125,5.359574e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.3855537e-7,0.000004175286,0.00015186873,0.000023302959,0.000002090052,0.000013340697,0.00011274071,0.40412906,0.59137315,0.00009402483,0.0000100472125,0.0040853573],"study_design_scores_gemma":[0.00013675643,0.000021809015,0.0017370756,0.0002749653,0.0000044511908,0.00013592842,0.0000853514,0.81891024,0.17829822,0.00019200401,0.00008476135,0.00011847202],"about_ca_topic_score_codex":0.0000011664417,"about_ca_topic_score_gemma":0.0000058456712,"teacher_disagreement_score":0.41478115,"about_ca_system_score_codex":0.0002006446,"about_ca_system_score_gemma":0.000060354923,"threshold_uncertainty_score":0.45797575},"labels":[],"label_agreement":null},{"id":"W3206126794","doi":"10.1016/j.petrol.2021.109581","title":"Effects of wellbore irregularity on primary cementing of horizontal wells, Part 1: Large scale effects","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nanoacademic Technologies; University of British Columbia","funders":"","keywords":"Eccentricity (behavior); Geology; Borehole; Azimuth; Displacement (psychology); Wellbore; Calipers; Drilling; Axial symmetry; Geometry; Mechanics; Geotechnical engineering; Materials science; Petroleum engineering; Physics; Mathematics","score_opus":0.002158398194738999,"score_gpt":0.1662224867064677,"score_spread":0.16406408851172868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206126794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844798,0.0023420167,0.011486231,0.000013595709,0.0012269212,0.0000443701,0.0000029231337,0.000038652885,0.00036552674],"genre_scores_gemma":[0.99757314,0.00033995428,0.00186462,0.0000091565935,0.00017390093,0.0000014123684,7.9862747e-7,0.000024320148,0.000012679255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984109,0.000012155382,0.00044110665,0.00015606599,0.00059733115,0.00038246368],"domain_scores_gemma":[0.9992577,0.00015599457,0.000115511066,0.00015528686,0.0001534793,0.0001620188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008022875,0.00018444611,0.00043269692,0.0003204007,0.00005635413,0.000036042034,0.0002013837,0.00006402851,0.0000026064572],"category_scores_gemma":[0.00016978895,0.00017737121,0.000111377165,0.0004777376,0.000057718407,0.00029993072,0.000060656945,0.00030561708,7.609099e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010132637,0.00008594988,0.0007934636,0.0024000064,0.00006766599,0.00007195451,0.00034211166,0.17601068,0.81747353,0.00012309283,0.000082266524,0.002539145],"study_design_scores_gemma":[0.0009578298,0.0002453836,0.013745022,0.001532922,0.00007403007,0.00007478619,0.00007847132,0.1497653,0.8316719,0.000012345457,0.0015886676,0.0002533541],"about_ca_topic_score_codex":0.0000015145802,"about_ca_topic_score_gemma":4.9037664e-7,"teacher_disagreement_score":0.026245378,"about_ca_system_score_codex":0.00009303085,"about_ca_system_score_gemma":0.000068982496,"threshold_uncertainty_score":0.7232988},"labels":[],"label_agreement":null},{"id":"W3207445502","doi":"10.1016/j.petrol.2021.109622","title":"Evaluation of common cementing practices affecting primary cementing quality","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Petroleum engineering; Displacement (psychology); Cement; Eccentricity (behavior); Residual; Flexibility (engineering); Geotechnical engineering; Geology; Engineering; Materials science; Computer science; Composite material; Mathematics","score_opus":0.03823239380989377,"score_gpt":0.3032220812467632,"score_spread":0.26498968743686946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207445502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844944,0.0024028309,0.010486431,0.000022604845,0.00072056206,0.000033126595,7.4067634e-7,0.000041981042,0.001797333],"genre_scores_gemma":[0.9954779,0.00014857017,0.0041899104,0.0000057669245,0.00015505703,7.562276e-7,6.0326124e-7,0.000016745025,0.000004701988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763787,0.000040679253,0.0005854402,0.00013513886,0.001311812,0.0002890483],"domain_scores_gemma":[0.9984662,0.00018726144,0.000403021,0.0001389764,0.0007047422,0.00009983355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009556429,0.00013199002,0.000291742,0.00028985195,0.00009280096,0.00011081391,0.00016095652,0.000038260514,0.0000067269384],"category_scores_gemma":[0.0015988717,0.00013461853,0.00006211559,0.00051508687,0.000036305195,0.00082928856,0.000059213035,0.00027342897,4.2963626e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012243676,0.000013665098,0.00096151786,0.00022233064,0.00003998282,0.0000041488333,0.0002143129,0.64314777,0.3469763,0.000033501346,0.0000053124168,0.008379947],"study_design_scores_gemma":[0.00048886804,0.00003628683,0.013231685,0.00040745988,0.00014484099,0.00009625771,0.0006286148,0.9108128,0.07364614,0.000020782058,0.00029389493,0.00019239944],"about_ca_topic_score_codex":0.0000058965093,"about_ca_topic_score_gemma":0.0000018637026,"teacher_disagreement_score":0.27333015,"about_ca_system_score_codex":0.00020498653,"about_ca_system_score_gemma":0.00016697371,"threshold_uncertainty_score":0.5489584},"labels":[],"label_agreement":null},{"id":"W3207448509","doi":"10.1016/j.petrol.2021.109649","title":"Dynamic effective permeability of a laminated structure with cross flow in the transient flow process and its application to reservoir simulation","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Permeability (electromagnetism); Mechanics; Anisotropy; Computer simulation; Materials science; Grid; Flow (mathematics); Fluid dynamics; Transient (computer programming); Geology; Computer science; Physics; Chemistry","score_opus":0.0026329436267841537,"score_gpt":0.23374882996871887,"score_spread":0.23111588634193472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207448509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97744215,0.00025523704,0.022090876,0.00009327183,0.00002681229,0.00007197026,0.000003189915,0.00000786062,0.000008606437],"genre_scores_gemma":[0.9995329,0.00001633174,0.0004206922,0.000005114839,0.000013257651,0.000003546974,6.7347355e-7,0.000006179496,0.0000013174059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918467,0.00001530022,0.00019352071,0.00012070248,0.000346071,0.00013971097],"domain_scores_gemma":[0.9994974,0.000065443135,0.00003614262,0.00009448457,0.0002446099,0.00006187648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005701826,0.00008621134,0.00016418872,0.00018566404,0.00005309478,0.00004985957,0.00012965428,0.000033450044,0.0000011300083],"category_scores_gemma":[0.00014105764,0.00005615595,0.000020482157,0.00071603816,0.000038640606,0.00025302934,0.0000112787075,0.00019053613,5.359433e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014357027,0.000009098381,0.00047127105,0.00016622152,0.000011293391,0.000005823912,0.0017125168,0.96580577,0.030652644,5.8714386e-7,1.4651403e-7,0.0011502663],"study_design_scores_gemma":[0.0001936759,0.000053502696,0.11076554,0.00007860338,0.0000145814465,0.000033440367,0.00019276905,0.8840078,0.004583913,0.0000058731007,0.00001206614,0.000058213165],"about_ca_topic_score_codex":0.0000024837925,"about_ca_topic_score_gemma":0.000027585818,"teacher_disagreement_score":0.11029427,"about_ca_system_score_codex":0.00006876339,"about_ca_system_score_gemma":0.000033725333,"threshold_uncertainty_score":0.2289973},"labels":[],"label_agreement":null},{"id":"W3207632267","doi":"10.1016/j.petrol.2021.109628","title":"Integrating sedimentology and ichnology with rock typing and flow units: Implications for clastic reservoir characterization","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Higher Education Commission, Pakistan","keywords":"Facies; Geology; Ichnofacies; Ichnology; Trace fossil; Sedimentology; Sedimentary structures; Sedimentary depositional environment; Paleontology; Petrology; Geochemistry; Structural basin","score_opus":0.012390797579717826,"score_gpt":0.20624418698024222,"score_spread":0.19385338940052438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207632267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542815,0.00051551877,0.043856118,0.001215077,0.00005715198,0.000020823725,0.000007115247,0.000005642997,0.000041064704],"genre_scores_gemma":[0.9933723,0.00015668767,0.0063794637,0.00004896866,0.000027789285,5.6543706e-7,0.0000059240274,9.27489e-7,0.0000073390383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996024,0.000005483355,0.00012870495,0.0000824513,0.000056537923,0.00012446233],"domain_scores_gemma":[0.99948806,0.0000956028,0.00006392269,0.000031756597,0.00025414568,0.00006653321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244254,0.000048850816,0.00009161568,0.000115020615,0.0001741177,0.00008011246,0.000055729717,0.000025296074,0.0000073347874],"category_scores_gemma":[0.0002677224,0.000033463413,0.0000046770365,0.00031133532,0.00005508098,0.00041669476,0.000010946257,0.00008074495,1.6721867e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107114414,0.00002740213,0.6508946,0.00044290646,0.000067326786,0.000014452392,0.0016412078,0.14551927,0.07468447,0.0061880825,0.00002024881,0.12039291],"study_design_scores_gemma":[0.00026881183,0.0003637372,0.57683516,0.000063481566,0.000024010113,0.00077160925,0.0006674091,0.41846955,0.0002945618,0.0003348415,0.0018111684,0.000095686184],"about_ca_topic_score_codex":0.0000035339494,"about_ca_topic_score_gemma":0.000032624306,"teacher_disagreement_score":0.2729503,"about_ca_system_score_codex":0.0000030075387,"about_ca_system_score_gemma":0.00007913592,"threshold_uncertainty_score":0.13645983},"labels":[],"label_agreement":null},{"id":"W3208972124","doi":"10.1016/j.petrol.2021.109711","title":"Changes to interfacial characteristics by low salinity water/nanoparticle flooding in carbonate reservoir","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Institute for Information and Communications Technology Promotion; Kementerian Pendidikan Malaysia; Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Contact angle; Enhanced oil recovery; Surface tension; Zeta potential; Nanofluid; Carbonate; Nanoparticle; Chemical engineering; Adsorption; Drop (telecommunication); Materials science; Capillary pressure; Salinity; Petroleum engineering; Chemistry; Nanotechnology; Geology; Composite material; Organic chemistry; Porous medium; Thermodynamics; Metallurgy","score_opus":0.007029273198872852,"score_gpt":0.21738140313569035,"score_spread":0.21035212993681748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208972124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765456,0.00014415363,0.0013561536,0.00022045814,0.00047505787,0.000022424594,0.0000038139692,0.00004797779,0.00007537799],"genre_scores_gemma":[0.99874,0.0001682457,0.00093247986,0.00004061175,0.0000872055,0.0000031242955,4.316252e-7,0.000015713807,0.000012148771],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891245,0.000009259347,0.00029187356,0.00012588107,0.00029611087,0.00036443616],"domain_scores_gemma":[0.9995717,0.000028571909,0.00002932394,0.00010162168,0.00013017435,0.00013864464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007618513,0.00011623004,0.00022440769,0.0002894767,0.000035100315,0.00010503941,0.00019667481,0.000040903753,0.000005400318],"category_scores_gemma":[0.00024704568,0.000103993545,0.000022820186,0.00035951324,0.00002952432,0.00037258954,0.00008410621,0.00024941092,0.0000017160917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061729706,0.0000097955735,0.00038628536,0.000044651355,0.0000046544665,0.000043178203,0.000340332,0.015130638,0.98263144,0.000009165721,0.00004537437,0.0013482899],"study_design_scores_gemma":[0.00014765546,0.00008025012,0.0022035062,0.00020776744,0.000004440648,0.000039580773,0.00007160144,0.05912468,0.93700516,0.000017266026,0.00094873115,0.00014938855],"about_ca_topic_score_codex":0.0000042751203,"about_ca_topic_score_gemma":0.000022005115,"teacher_disagreement_score":0.045626327,"about_ca_system_score_codex":0.0001865225,"about_ca_system_score_gemma":0.000036173325,"threshold_uncertainty_score":0.42407337},"labels":[],"label_agreement":null},{"id":"W3209458796","doi":"10.1016/j.petrol.2021.109717","title":"A review of the mechanics of heavy-oil recovery by steam injection with chemical additives","year":2021,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Steam injection; Petroleum engineering; Waste management; Environmental science; Engineering","score_opus":0.009512405531239717,"score_gpt":0.241109398200596,"score_spread":0.23159699266935627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209458796","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045476737,0.9990294,0.00014126666,0.000020057149,0.00006883602,0.0000043640225,0.000024569124,0.000004546719,0.00025219566],"genre_scores_gemma":[0.0004080552,0.9991302,0.00019395487,0.000013434488,0.00008360695,0.0000026986615,0.0000030834947,0.000015422496,0.0001495343],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9981958,0.000015670355,0.00072691933,0.0001974284,0.0006777581,0.00018637389],"domain_scores_gemma":[0.9981479,0.00007637564,0.0010998471,0.00021496782,0.00037168065,0.000089253284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008321285,0.0002144211,0.0012763309,0.00016863487,0.00005154577,0.00003526377,0.00044045967,0.000095260955,0.000018927962],"category_scores_gemma":[0.00046191693,0.00012795211,0.0003742347,0.0008780815,0.00010503305,0.00021209173,0.000081444516,0.00050711766,9.332878e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000103740285,0.00009194518,0.000002215745,0.17776828,0.00039824616,0.000007484765,0.000033432836,0.00024354726,0.026084824,0.000011150737,0.0005212025,0.7948273],"study_design_scores_gemma":[0.00019204414,0.000096352785,2.0006792e-7,0.53466016,0.001660805,0.0009119801,0.00011402667,0.0005253421,0.0068153855,0.0000015035279,0.45470628,0.00031588716],"about_ca_topic_score_codex":0.0000026578987,"about_ca_topic_score_gemma":1.8129897e-7,"teacher_disagreement_score":0.79451144,"about_ca_system_score_codex":0.0001445229,"about_ca_system_score_gemma":0.00075804035,"threshold_uncertainty_score":0.5217735},"labels":[],"label_agreement":null},{"id":"W3213001288","doi":"10.1016/j.petrol.2021.109805","title":"Optimization of carbon dioxide dissolution in an injection tubing for geologic sequestration in aquifers","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Carbon sequestration; Aquifer; Dissolution; Carbon dioxide; Petroleum engineering; Environmental science; Injection well; Geology; Geochemistry; Groundwater; Geotechnical engineering; Chemical engineering; Chemistry; Engineering","score_opus":0.01090890065911709,"score_gpt":0.2414851220723692,"score_spread":0.2305762214132521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213001288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97980285,0.000017224645,0.01968542,0.00013341363,0.00014555949,0.00003251434,2.6016863e-7,0.00000361737,0.00017916552],"genre_scores_gemma":[0.99604356,0.000023182667,0.003889724,0.000010362266,0.000019616005,0.0000022751622,9.1546696e-7,0.0000018377053,0.000008501929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999361,0.000016057085,0.00025056995,0.00009892864,0.0001614685,0.00011199605],"domain_scores_gemma":[0.999745,0.000024987183,0.00009678282,0.000042868476,0.000054028867,0.000036319856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065470574,0.000046239737,0.000086796645,0.00016983281,0.000030499245,0.00001989312,0.00005401564,0.0000295916,0.000012267471],"category_scores_gemma":[0.00024447354,0.00004425824,0.000015847363,0.00037125155,0.000050745868,0.0007329097,0.000016322983,0.0000886736,7.632609e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008304311,0.000020068537,0.025489302,0.0000036322963,4.837052e-7,0.0000025934776,0.00014879712,0.7905826,0.18343015,0.00006389615,4.0405774e-7,0.00024978197],"study_design_scores_gemma":[0.00021652575,0.00019707356,0.16189063,0.00003515465,0.0000036185386,0.000053961252,0.00044068537,0.82939136,0.007624662,0.00007975331,0.000011451504,0.00005511817],"about_ca_topic_score_codex":0.00008159395,"about_ca_topic_score_gemma":0.0002537882,"teacher_disagreement_score":0.17580548,"about_ca_system_score_codex":0.00021019974,"about_ca_system_score_gemma":0.00004876588,"threshold_uncertainty_score":0.18047985},"labels":[],"label_agreement":null},{"id":"W3213888940","doi":"10.1016/j.petrol.2021.109801","title":"Semianalytical model of complex fracture growth in vertical wells based on boundary element theory","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Hydraulic fracturing; Superposition principle; Fracture (geology); Mechanics; Geology; Boundary value problem; Boundary element method; Petroleum engineering; Geotechnical engineering; Permeability (electromagnetism); Finite element method; Structural engineering; Mathematics; Engineering; Chemistry; Mathematical analysis","score_opus":0.007767443506547262,"score_gpt":0.2153351008553266,"score_spread":0.20756765734877933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213888940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8220954,0.00037376015,0.17551406,0.00079780864,0.00013056221,0.000022124632,0.0000027338936,0.00002087499,0.001042664],"genre_scores_gemma":[0.9981846,0.00006298916,0.0015602638,0.00012489062,0.000046965415,4.785302e-7,4.9292095e-7,0.0000101959,0.000009128863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986581,0.000015123092,0.00036454262,0.000119394164,0.00058300624,0.0002597877],"domain_scores_gemma":[0.99945015,0.000107628664,0.00002991277,0.00012236772,0.00012669292,0.00016325995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969802,0.000118646094,0.00028774803,0.00042037602,0.000037862657,0.000048224843,0.00018397855,0.000051923234,0.000028913391],"category_scores_gemma":[0.00022158497,0.00009592219,0.00008891569,0.00041789195,0.00008807416,0.0001634939,0.00002530626,0.0003731493,7.482309e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001155857,0.0000325599,0.0002932956,0.00006370337,0.000022365244,0.000038256254,0.00006561329,0.97304547,0.026151543,0.00009212059,0.00006903615,0.00011445075],"study_design_scores_gemma":[0.00029942143,0.000041952364,0.00348946,0.00011702875,0.00002786179,0.000014281885,0.000056085864,0.9771842,0.018359635,0.000088048,0.0002254426,0.00009659859],"about_ca_topic_score_codex":0.0000022712636,"about_ca_topic_score_gemma":0.0000011824526,"teacher_disagreement_score":0.17608917,"about_ca_system_score_codex":0.00013369972,"about_ca_system_score_gemma":0.00015673957,"threshold_uncertainty_score":0.39115933},"labels":[],"label_agreement":null},{"id":"W4200549417","doi":"10.1016/j.petrol.2021.110017","title":"Petrophysical rock typing based on deep learning network and hierarchical clustering for volcanic reservoirs","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Xinjiang Oilfield Company","keywords":"Petrophysics; Geology; Volcano; Petrology; Cluster analysis; Geochemistry; Artificial intelligence; Geotechnical engineering; Computer science; Porosity","score_opus":0.007936921146116183,"score_gpt":0.2142387363564296,"score_spread":0.2063018152103134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200549417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39350706,0.0008036164,0.60445166,0.0004601578,0.0004031618,0.00003893992,6.537394e-7,0.00006015602,0.0002745847],"genre_scores_gemma":[0.9955784,0.0001666692,0.0037950121,0.00004329004,0.00037260662,0.0000029821451,7.6034894e-7,0.000020297193,0.0000199505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988723,0.000017044194,0.0002762312,0.00016216937,0.00033846567,0.00033380763],"domain_scores_gemma":[0.9993604,0.00012926775,0.000049174916,0.0000971311,0.00014530768,0.00021874237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059897534,0.00013228421,0.00025376663,0.00026368312,0.00018834263,0.00015713433,0.00013128921,0.00004532875,0.000004376396],"category_scores_gemma":[0.00032408859,0.00011978967,0.00008079705,0.000509763,0.000036111876,0.0002829695,0.00004367222,0.0003866263,6.9631125e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001388813,0.000006668759,0.00013590725,0.00005470547,0.000019547284,0.000013574605,0.0000696998,0.9829471,0.015591976,0.00007283131,0.000018178214,0.0010559184],"study_design_scores_gemma":[0.0003472948,0.0001187047,0.0007868067,0.000111375586,0.00002411861,0.000031611413,0.00010200458,0.9962918,0.0004906837,0.000017897433,0.0015462787,0.0001314068],"about_ca_topic_score_codex":5.956037e-7,"about_ca_topic_score_gemma":0.0000056816757,"teacher_disagreement_score":0.6020714,"about_ca_system_score_codex":0.00006631158,"about_ca_system_score_gemma":0.000061025177,"threshold_uncertainty_score":0.4884881},"labels":[],"label_agreement":null},{"id":"W4200611051","doi":"10.1016/j.petrol.2021.109937","title":"Data-driven deep-learning forecasting for oil production and pressure","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Computer Modelling Group; Shell Brasil; Schlumberger Foundation","keywords":"Computer science; Deep learning; Artificial intelligence; Production (economics); Oil production; Sliding window protocol; Stacking; Machine learning; Field (mathematics); Data mining; Petroleum engineering; Window (computing); Engineering","score_opus":0.032658326608091155,"score_gpt":0.26936993497330686,"score_spread":0.2367116083652157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200611051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8523442,0.00416825,0.14233696,0.000094831514,0.0008579092,0.000024644398,0.0000037409948,0.00007130747,0.00009812529],"genre_scores_gemma":[0.91189957,0.00041740105,0.087264664,0.0000028661543,0.00031669933,0.0000017800859,0.0000015051124,0.000018396753,0.00007714518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991206,0.000009588835,0.00024028901,0.00016181251,0.00025301037,0.0002147],"domain_scores_gemma":[0.9993442,0.000108080305,0.00005079339,0.00014132624,0.0002380889,0.000117495736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011947509,0.000101177946,0.00017581914,0.00018620187,0.000108044114,0.00013055233,0.00016175985,0.0000364854,0.0000016693771],"category_scores_gemma":[0.0018055941,0.00009654815,0.000022907196,0.0002635028,0.000031493775,0.0007468457,0.0000635933,0.00022216399,9.5571465e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027879582,0.000002444231,0.00019254595,0.00019370804,0.000020814798,0.000004537352,0.000110590314,0.96034867,0.027397135,0.000016402673,0.000022906472,0.0116874715],"study_design_scores_gemma":[0.00018668277,0.000026633026,0.0006453164,0.00010612395,0.000029549903,0.00020952668,0.00009844614,0.98838127,0.002436047,0.0000067569426,0.0077702384,0.00010338912],"about_ca_topic_score_codex":3.1554205e-7,"about_ca_topic_score_gemma":7.4146897e-7,"teacher_disagreement_score":0.05955532,"about_ca_system_score_codex":0.000026658381,"about_ca_system_score_gemma":0.00003745307,"threshold_uncertainty_score":0.39371195},"labels":[],"label_agreement":null},{"id":"W4205699032","doi":"10.1016/j.petrol.2021.110026","title":"Effects of wellbore irregularity on primary cementing of horizontal wells, Part 2: Small scale effects","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nanoacademic Technologies; University of British Columbia","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Borehole; Annulus (botany); Geology; Displacement (psychology); Calipers; Computation; Mechanics; Geometry; Wellbore; Flow (mathematics); Fluid dynamics; Wavelength; Drilling; Geotechnical engineering; Materials science; Petroleum engineering; Mathematics; Optics; Physics","score_opus":0.0026802703054168474,"score_gpt":0.15321939523142014,"score_spread":0.1505391249260033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205699032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922694,0.0013291291,0.0046318294,0.000012106867,0.0013704204,0.00007042088,0.0000031034756,0.000043334385,0.0002702658],"genre_scores_gemma":[0.9984938,0.00012004494,0.0012043812,0.000008475661,0.00013105554,0.0000045439474,6.2202486e-7,0.00002658149,0.000010520975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837047,0.0000159137,0.0004422099,0.00014949616,0.0006738172,0.00034808394],"domain_scores_gemma":[0.99933463,0.0001641294,0.00014461007,0.00014240407,0.000071443836,0.00014276369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010747063,0.00018213895,0.0003969631,0.00049394515,0.00010435332,0.00002572637,0.00032326134,0.000036203226,0.0000033010929],"category_scores_gemma":[0.000086094806,0.00018138658,0.000105205036,0.00048367903,0.00006761985,0.00019832491,0.000102622136,0.00041438316,3.5436753e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014788692,0.000052054053,0.00044795466,0.0011048733,0.00004004348,0.000024247938,0.0002835375,0.56376094,0.43094587,0.000053130425,0.000050290106,0.0032222504],"study_design_scores_gemma":[0.0016155865,0.0012497433,0.01793361,0.0010895735,0.00013010914,0.00014577547,0.00017195729,0.37202707,0.6019548,0.000024634499,0.0031412735,0.00051583926],"about_ca_topic_score_codex":0.000005083327,"about_ca_topic_score_gemma":2.9276964e-7,"teacher_disagreement_score":0.19173388,"about_ca_system_score_codex":0.00016473222,"about_ca_system_score_gemma":0.000052870055,"threshold_uncertainty_score":0.739673},"labels":[],"label_agreement":null},{"id":"W4205943473","doi":"10.1016/j.petrol.2022.110119","title":"The influence of depositional and diagenetic processes on rock electrical properties: A case study of the Longmaxi shale in the Sichuan Basin","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Geology; Sedimentary depositional environment; Oil shale; Diagenesis; Geochemistry; Clay minerals; Sedimentary rock; Mineralogy; Structural basin; Geomorphology; Paleontology","score_opus":0.008169649840355002,"score_gpt":0.1999094600960274,"score_spread":0.19173981025567238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205943473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991478,0.0005512577,0.000079326914,0.00012145746,0.000026045744,0.00006174635,5.3638547e-7,0.0000028424208,0.000009021218],"genre_scores_gemma":[0.9998737,0.00007200325,0.000008063755,0.000016327418,0.000012976739,0.000010970887,2.124203e-8,0.00000388548,0.0000020618165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989861,0.000036664467,0.00025200562,0.000064634754,0.0005465225,0.00011402202],"domain_scores_gemma":[0.999634,0.00009875595,0.00006514594,0.00009370987,0.00007693464,0.000031415326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006879548,0.000063284795,0.000109789944,0.00016268746,0.00020637791,0.000042169926,0.00026832562,0.000009010897,6.250795e-7],"category_scores_gemma":[0.00016733212,0.000031220217,0.000022033879,0.000886226,0.000047559482,0.00012847065,0.000044600518,0.00021783421,2.8689554e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071107343,0.000047953352,0.0028916507,0.000024114854,0.000012465742,0.00003159017,0.002889125,0.9851687,0.0088316845,0.000006956106,0.0000029043392,0.0000857637],"study_design_scores_gemma":[0.00050655287,0.00074313855,0.04577424,0.00007656422,0.000049316986,0.0013192918,0.013908033,0.93474984,0.0026782951,0.000013289339,0.00006037676,0.000121083576],"about_ca_topic_score_codex":0.000028109496,"about_ca_topic_score_gemma":0.000042361902,"teacher_disagreement_score":0.050418865,"about_ca_system_score_codex":0.000037366917,"about_ca_system_score_gemma":0.000072261624,"threshold_uncertainty_score":0.1587313},"labels":[],"label_agreement":null},{"id":"W4206257153","doi":"10.1016/j.petrol.2022.110172","title":"Vapor-liquid equilibrium (VLE) prediction for dimethyl ether (DME) and water system in DME injection process with Peng-Robinson equation of state and composition dependent binary interaction coefficient","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Thermodynamics; Chemistry; Solvation; Activity coefficient; Intermolecular force; Ideal solution; Binary number; Phase (matter); Equation of state; Molecular dynamics; Ideal (ethics); Binary system; Solubility; Statistical physics; Solvent; Molecule; Computational chemistry; Physical chemistry; Organic chemistry; Mathematics; Physics; Aqueous solution; Law","score_opus":0.006983398027658263,"score_gpt":0.21201150352815543,"score_spread":0.20502810550049716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206257153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606748,0.00015557063,0.038629778,0.000014703187,0.0003475515,0.00013127335,0.000008994103,0.000021852124,0.000015481532],"genre_scores_gemma":[0.99975777,0.000016496739,0.00015834563,0.0000019677414,0.000030168305,0.000014263505,0.0000034652808,0.00001527237,0.000002235912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905854,0.000018065151,0.00030589142,0.00012867698,0.00031424526,0.00017457755],"domain_scores_gemma":[0.9996659,0.000031244483,0.000098418066,0.000050894454,0.000093422466,0.00006009004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008880217,0.00010644997,0.0001702773,0.00046401971,0.000075480144,0.000043683984,0.00006279559,0.000024118677,0.0000011986095],"category_scores_gemma":[0.000008579661,0.000088123656,0.000016688864,0.00019356888,0.00003595525,0.0006692699,0.000033600154,0.0001758056,4.5572627e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017043769,0.000015155608,0.00012919887,0.00015941625,0.0000092312475,0.000002553312,0.0007089242,0.55776477,0.4408617,0.00001534735,2.8107064e-7,0.00016297323],"study_design_scores_gemma":[0.0007518561,0.0010722133,0.0009264268,0.00015016172,0.000023994018,0.00029924384,0.0007450393,0.96286404,0.033053316,0.000010873663,0.00000839185,0.00009444844],"about_ca_topic_score_codex":0.0000071992217,"about_ca_topic_score_gemma":0.0000015818247,"teacher_disagreement_score":0.4078084,"about_ca_system_score_codex":0.00027388765,"about_ca_system_score_gemma":0.00002983686,"threshold_uncertainty_score":0.35935783},"labels":[],"label_agreement":null},{"id":"W4206338214","doi":"10.1016/j.petrol.2022.110122","title":"Experimental verification of the effects of three metal oxide nanoparticles on mass transfer at gas-liquid interface","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Nanofluid; Mass transfer; Nanoparticle; Materials science; Absorption (acoustics); Porous medium; Chemical engineering; Dispersion (optics); Enhanced oil recovery; Porosity; Chemistry; Nanotechnology; Chromatography; Composite material","score_opus":0.005492802467592166,"score_gpt":0.20286582664515085,"score_spread":0.19737302417755867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206338214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99488837,0.0006825742,0.0039629117,0.00001646066,0.0003291139,0.000046926376,0.0000017695339,0.000020178879,0.000051689534],"genre_scores_gemma":[0.9994206,0.00003309897,0.00050979404,0.0000040829455,0.000010741032,0.0000072371886,4.402755e-8,0.000010998592,0.000003419621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99907804,0.000014011606,0.00024976904,0.00007676586,0.00044263384,0.00013876459],"domain_scores_gemma":[0.99968237,0.000065343695,0.000054409902,0.000120517114,0.000035450346,0.000041904397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048791146,0.000086063636,0.00015617436,0.00014982242,0.000060024715,0.000008739155,0.00027128638,0.000015539968,0.000005514125],"category_scores_gemma":[0.000060951876,0.00006792954,0.00006336061,0.00024262561,0.000071893,0.0002052986,0.000047401747,0.00015513552,1.5158382e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036623296,0.000018299996,0.000038943595,0.000046889374,0.000011619024,0.0000011422168,0.00016686163,0.118020445,0.88142353,0.00007218446,0.0000060326506,0.00015741235],"study_design_scores_gemma":[0.00018217402,0.0005020913,0.0009657915,0.00007759855,0.000011734428,0.00002101088,0.0000649447,0.015223701,0.98282087,0.0000070631845,0.000061345636,0.00006169756],"about_ca_topic_score_codex":0.0000019581737,"about_ca_topic_score_gemma":4.5290608e-7,"teacher_disagreement_score":0.10279674,"about_ca_system_score_codex":0.00020090929,"about_ca_system_score_gemma":0.0000211144,"threshold_uncertainty_score":0.27700862},"labels":[],"label_agreement":null},{"id":"W4206454874","doi":"10.1016/j.petrol.2022.110170","title":"Flow characteristics and EOR mechanism of foam flooding in fractured vuggy reservoirs","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Enhanced oil recovery; Residual oil; Flooding (psychology); Petroleum engineering; Water flooding; Porous medium; Porosity; Geology; Geotechnical engineering; Materials science; Environmental science","score_opus":0.004991372403384378,"score_gpt":0.19728873044923317,"score_spread":0.1922973580458488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206454874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869563,0.00044876902,0.012025369,0.00003604793,0.00036281266,0.00003132915,0.0000060087173,0.000032686974,0.00010068961],"genre_scores_gemma":[0.9915978,0.00029256596,0.008031234,0.000010146174,0.000043023785,0.000004253563,2.762553e-7,0.000015488971,0.0000052246673],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890435,0.000009404113,0.00035167558,0.000101961756,0.00040636153,0.00022622962],"domain_scores_gemma":[0.99961334,0.000056571906,0.00009261888,0.000091883165,0.00006029826,0.00008531006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010960263,0.00010688983,0.00025024326,0.0006027496,0.000061171886,0.000035974947,0.00022223702,0.000030749736,0.000009329533],"category_scores_gemma":[0.00016917894,0.00010856298,0.000028747421,0.00038662986,0.000037558126,0.00041151117,0.00009994709,0.00038198862,8.021866e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018739369,0.00001755278,0.00055226265,0.00014366653,0.000015411773,0.000047450558,0.0007385265,0.28006724,0.71306986,0.00041207348,0.00003654664,0.0048806453],"study_design_scores_gemma":[0.00040679282,0.00029002535,0.008839385,0.0001848057,0.000014546886,0.00019936307,0.0002941167,0.91879755,0.06933545,0.00042771193,0.00096605293,0.00024419103],"about_ca_topic_score_codex":0.000003174496,"about_ca_topic_score_gemma":0.0000013926467,"teacher_disagreement_score":0.64373446,"about_ca_system_score_codex":0.00015350479,"about_ca_system_score_gemma":0.00004229186,"threshold_uncertainty_score":0.44270697},"labels":[],"label_agreement":null},{"id":"W4214714405","doi":"10.1016/j.petrol.2022.110347","title":"Modeling tracer flowback behaviour for a multifractured horizontal well in a tight oil reservoir using the embedded discrete fracture model","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"TRACER; Fracture (geology); Complex fracture; Geology; Matrix (chemical analysis); Petroleum engineering; Tight gas; Network model; Geotechnical engineering; Hydraulic fracturing; Materials science; Computer science; Composite material; Artificial intelligence; Physics","score_opus":0.010633643242652967,"score_gpt":0.23889924709308466,"score_spread":0.22826560385043168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214714405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8603733,0.0008992286,0.13803689,0.00029167376,0.0002736557,0.00005124508,0.000007459512,0.000027490149,0.0000390244],"genre_scores_gemma":[0.9952253,0.00007591167,0.0044139265,0.00003630357,0.00016006513,0.000014839158,0.0000012793014,0.00003565519,0.000036691392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980926,0.000020025383,0.00047667514,0.00020840495,0.00072174077,0.0004805811],"domain_scores_gemma":[0.9993873,0.000056828547,0.00008377045,0.00021138266,0.00010082811,0.0001598741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014698989,0.00021466783,0.00033336921,0.00053147704,0.00038250792,0.00013347669,0.00053533685,0.00006254994,0.000012057022],"category_scores_gemma":[0.000085382875,0.00015474063,0.0001693711,0.0005208793,0.000048109712,0.00053216785,0.00009724966,0.0008516617,1.935253e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003270947,0.00001636067,0.00004049257,0.000036156547,0.000026785578,0.000015685371,0.0011271031,0.9841787,0.014348781,0.0000012358103,0.000040808027,0.00013518572],"study_design_scores_gemma":[0.0005381674,0.00004655619,0.00006295593,0.00005030143,0.00005735027,0.00008244107,0.00090179953,0.9966271,0.0009808739,0.000012936197,0.0004408601,0.0001986657],"about_ca_topic_score_codex":0.00003951126,"about_ca_topic_score_gemma":0.000021397762,"teacher_disagreement_score":0.13485199,"about_ca_system_score_codex":0.00035394478,"about_ca_system_score_gemma":0.0001269425,"threshold_uncertainty_score":0.63101393},"labels":[],"label_agreement":null},{"id":"W4220721022","doi":"10.1016/j.petrol.2022.110422","title":"Towards sustainable oil/gas fracking by reusing its process water: A review on fundamentals, challenges, and opportunities","year":2022,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Reuse; Fossil fuel; Hydraulic fracturing; Unconventional oil; Produced water; Environmental science; Petroleum engineering; Enhanced oil recovery; Biochemical engineering; Waste management; Nanotechnology; Engineering; Materials science","score_opus":0.051018427220583334,"score_gpt":0.27534050539443344,"score_spread":0.2243220781738501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220721022","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006391045,0.9958943,0.000004966801,0.0003363453,0.00019011195,0.00010366057,0.0000032872058,0.000012637065,0.0028155856],"genre_scores_gemma":[0.00036044858,0.99891305,0.000045105222,0.0001020977,0.000060520502,0.000015993986,0.0000028606235,0.000031837182,0.000468082],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972994,0.000065228145,0.0006506809,0.00037447462,0.0010167102,0.0005935504],"domain_scores_gemma":[0.9990273,0.000054887823,0.0004028885,0.00016467091,0.00003567039,0.00031457312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034410646,0.00035652984,0.0009876387,0.00029613584,0.00034449133,0.00013958078,0.0005151456,0.000083632855,0.00029208418],"category_scores_gemma":[0.00012344896,0.00023143404,0.00011335197,0.00029861086,0.00015390807,0.00071611285,0.00042050998,0.00072951487,0.000004016472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032734436,0.000033379354,2.2598508e-7,0.024018912,0.000040252464,0.0001471603,0.00044438255,0.0004465799,0.00006652087,0.00008441481,0.0001438548,0.97457105],"study_design_scores_gemma":[0.00009764954,0.00020255768,4.524042e-7,0.01214068,0.00017813937,0.00052099465,0.0004334831,0.00029787465,0.000014494348,0.000015221005,0.9857991,0.00029937664],"about_ca_topic_score_codex":0.0000066373896,"about_ca_topic_score_gemma":1.2177104e-7,"teacher_disagreement_score":0.98565525,"about_ca_system_score_codex":0.0005303772,"about_ca_system_score_gemma":0.00013617639,"threshold_uncertainty_score":0.94376063},"labels":[],"label_agreement":null},{"id":"W4220783042","doi":"10.1016/j.petrol.2022.110379","title":"Water flooding of sandstone oil reservoirs: Underlying mechanisms in imbibition vs. drainage displacement","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Imbibition; Petroleum engineering; Viscosity; Water injection (oil production); Wetting; Geotechnical engineering; Surface tension; Enhanced oil recovery; Emulsion; Rheology; Geology; Porous medium; Micromodel; Materials science; Chemistry; Porosity; Composite material; Thermodynamics","score_opus":0.009546688254171555,"score_gpt":0.2245546511720458,"score_spread":0.21500796291787425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220783042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736858,0.0001848963,0.025239002,0.00006896251,0.00030920535,0.000022810691,0.0000019092681,0.000039836803,0.0004475524],"genre_scores_gemma":[0.995898,0.00010605393,0.0039240927,0.000009742591,0.000019392866,0.000008674656,5.165174e-7,0.00001636505,0.000017145838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986164,0.000012817914,0.00038605463,0.0001118484,0.00057018554,0.00030268193],"domain_scores_gemma":[0.99968123,0.00003178359,0.00006475452,0.000100601086,0.000052819643,0.0000687823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017925848,0.00010981332,0.00021500001,0.00078435167,0.0000913839,0.000040468112,0.00023750469,0.000023809798,0.000019339272],"category_scores_gemma":[0.000044685494,0.000099026205,0.000042273474,0.00040753296,0.000033916505,0.0005858479,0.00011452725,0.0003166354,2.3516715e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010818967,0.000009996232,0.000026128733,0.00007453698,0.000005400861,0.0000140685015,0.00033593635,0.35422394,0.64441556,0.0002936761,0.000008687018,0.00058127206],"study_design_scores_gemma":[0.00091249327,0.00059257884,0.0011549887,0.00045648584,0.000020808604,0.0001805635,0.0013274031,0.3176655,0.6755481,0.0012414638,0.0005399605,0.00035967326],"about_ca_topic_score_codex":0.0000073959527,"about_ca_topic_score_gemma":0.0000033155804,"teacher_disagreement_score":0.03655844,"about_ca_system_score_codex":0.0004041859,"about_ca_system_score_gemma":0.000030311621,"threshold_uncertainty_score":0.40381715},"labels":[],"label_agreement":null},{"id":"W4220820926","doi":"10.1016/j.petrol.2022.110377","title":"A new experimental method for comparing solvents in steam-solvent coinjection for bitumen recovery under controlled thermodynamic conditions","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada’s Oil Sands Innovation Alliance; Saskatchewan Research Council (Canada)","funders":"","keywords":"Asphalt; Solvent; Petroleum engineering; Chemistry; Environmental science; Chromatography; Materials science; Organic chemistry; Engineering; Composite material","score_opus":0.011745808441703759,"score_gpt":0.2766318967877913,"score_spread":0.26488608834608757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220820926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4622767,0.00036660463,0.5364374,0.000025531155,0.0005509726,0.00021816645,0.0000065199993,0.00004348192,0.00007462878],"genre_scores_gemma":[0.96939266,0.000030354533,0.030292502,0.00001894839,0.000067730885,0.00014361688,0.0000017011399,0.000024522407,0.000027963057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886537,0.000013274543,0.0004066051,0.00013967624,0.00028877836,0.00028628416],"domain_scores_gemma":[0.99949837,0.00016111828,0.00011547212,0.00007762165,0.000055251952,0.00009219447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001206912,0.00013250015,0.00034566785,0.00059236033,0.00014267271,0.00005789295,0.00019191991,0.000027883414,0.000008616535],"category_scores_gemma":[0.00005486882,0.00013648428,0.00012175987,0.00025758543,0.000017041582,0.0004639098,0.00004136775,0.00020286198,9.74241e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082358696,0.00001868624,0.000019084344,0.00001780551,0.000024077694,8.9399623e-7,0.00007946318,0.5549159,0.44408402,0.00020267983,0.00008255151,0.0004724958],"study_design_scores_gemma":[0.0032656894,0.0005155251,0.00054870575,0.00007010116,0.000023963183,0.000069977286,0.00053339865,0.9660768,0.027740441,0.00068578054,0.00029097343,0.0001786491],"about_ca_topic_score_codex":0.000011238463,"about_ca_topic_score_gemma":0.0000070037036,"teacher_disagreement_score":0.50711596,"about_ca_system_score_codex":0.0007848808,"about_ca_system_score_gemma":0.00010879775,"threshold_uncertainty_score":0.5565667},"labels":[],"label_agreement":null},{"id":"W4224110894","doi":"10.1016/j.petrol.2022.110504","title":"Semi-analytical modeling of transient pressure behaviour for a multifractured horizontal well in a gas reservoir with a complex fracture network by considering effects of slippage, stress-sensitivity, and gas adsorption/desorption","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Slippage; Transient (computer programming); Petroleum engineering; Fracture (geology); Sensitivity (control systems); Adsorption; Desorption; Mechanics; Tight gas; Stress (linguistics); Geology; Geotechnical engineering; Materials science; Hydraulic fracturing; Chemistry; Engineering; Computer science; Composite material; Physics","score_opus":0.006897798072018216,"score_gpt":0.2104229901542124,"score_spread":0.2035251920821942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224110894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9279233,0.0012255516,0.07049296,0.00011882691,0.000072509516,0.0001273652,0.000017466049,0.000015632102,0.000006394354],"genre_scores_gemma":[0.9985583,0.00012672566,0.0012122092,0.000008158305,0.000055511457,0.000009066924,0.0000038327285,0.000022549348,0.0000036607712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832916,0.000038310758,0.0004754197,0.00020324338,0.00060762226,0.00034624382],"domain_scores_gemma":[0.99925166,0.00019977363,0.00015065618,0.00011752119,0.00012852499,0.00015188703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009863313,0.00019408227,0.0005247945,0.0004065951,0.00009897948,0.00004003631,0.00013580998,0.00006236052,0.0000052913097],"category_scores_gemma":[0.00008032463,0.00016588993,0.00009654211,0.00040034216,0.00008576372,0.00026597074,0.00005253793,0.0004806228,1.9915984e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009661407,0.000049766808,0.0015660415,0.0003746686,0.000091286776,0.000022922137,0.0004334488,0.9338682,0.063324004,0.0000012217967,0.000059785605,0.00011198827],"study_design_scores_gemma":[0.0009855164,0.0002896765,0.0022471424,0.00028234962,0.00017823077,0.000096235424,0.00031679097,0.99003613,0.0052624214,0.000005459796,0.00013667121,0.00016338403],"about_ca_topic_score_codex":0.000088299654,"about_ca_topic_score_gemma":0.000059304788,"teacher_disagreement_score":0.07063499,"about_ca_system_score_codex":0.00008765948,"about_ca_system_score_gemma":0.000051716463,"threshold_uncertainty_score":0.6764795},"labels":[],"label_agreement":null},{"id":"W4225543060","doi":"10.1016/j.petrol.2021.109954","title":"Viscous fingering during heavy-oil displacement by chemical solutions: Emulsion instability and partial-miscibility","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscous fingering; Instability; Miscibility; Emulsion; Displacement (psychology); Materials science; Thermodynamics; Petroleum engineering; Mechanics; Chemical engineering; Geology; Physics; Porous medium; Engineering; Composite material","score_opus":0.006001369345215658,"score_gpt":0.2132075652421052,"score_spread":0.20720619589688954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225543060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98747414,0.0023400565,0.009664152,0.00008521224,0.00023023818,0.000019519339,0.0000036716633,0.000080882724,0.00010211142],"genre_scores_gemma":[0.9959474,0.0010324694,0.0029226427,0.0000079083375,0.000060850532,0.000004339888,4.3984676e-7,0.0000140924,0.000009836204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985735,0.000010585537,0.00039587176,0.00023106966,0.00040855457,0.00038041789],"domain_scores_gemma":[0.9993788,0.000054118955,0.000058420974,0.00017458375,0.0001288231,0.000205245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081535365,0.00015604081,0.00024391308,0.00012543504,0.00012631818,0.00012247924,0.00013682984,0.000054873984,0.0000062979],"category_scores_gemma":[0.00035891865,0.00015269437,0.000046287107,0.00028482804,0.00011998424,0.000719907,0.00013244753,0.00030718485,3.3230978e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009661043,0.000022476626,0.00037243182,0.00017622807,0.000009690719,0.000010842977,0.00010021025,0.01368546,0.98214525,0.000016311707,0.000026615564,0.0034248324],"study_design_scores_gemma":[0.00034274516,0.000049342816,0.0032950519,0.0002748781,0.000016626296,0.00019806539,0.00010163245,0.11005767,0.88475627,0.000028378343,0.00063255825,0.000246777],"about_ca_topic_score_codex":0.0000031050301,"about_ca_topic_score_gemma":0.0000015220293,"teacher_disagreement_score":0.09738896,"about_ca_system_score_codex":0.0003320544,"about_ca_system_score_gemma":0.000051105162,"threshold_uncertainty_score":0.6226696},"labels":[],"label_agreement":null},{"id":"W4229363828","doi":"10.1016/j.petrol.2022.110582","title":"Numerical investigation of the factors affecting the cement sheath integrity in hydraulically fractured wells","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Petroleum engineering; Cement; Geotechnical engineering; Geology; Materials science; Composite material","score_opus":0.007673062447535697,"score_gpt":0.19034586679195722,"score_spread":0.1826728043444215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229363828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933609,0.0002810913,0.005364708,0.00017826732,0.00068948633,0.000044964774,8.3095875e-7,0.000019193469,0.00006060395],"genre_scores_gemma":[0.99965024,0.00001930802,0.00024784135,0.00001997605,0.00004771607,0.0000017873489,1.2559624e-7,0.000010892564,0.0000021020812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998798,0.000022571978,0.00032370535,0.0000871951,0.0005512847,0.00021723831],"domain_scores_gemma":[0.99956137,0.00012407891,0.00008307343,0.000120121585,0.000039309605,0.000072057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013606237,0.00011028501,0.00017092175,0.00020444872,0.00013276917,0.000037603008,0.00037003,0.000023552806,0.0000050952426],"category_scores_gemma":[0.00016537069,0.00006868266,0.000059376038,0.00067269214,0.000059476442,0.00018817428,0.00007135966,0.0007632604,1.0553693e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018039876,0.0000049464593,0.008644107,0.00002252869,0.000007222137,0.0000014030807,0.0011111547,0.9571746,0.032778498,0.0000205912,0.000017663018,0.00021549298],"study_design_scores_gemma":[0.00019791581,0.000073697054,0.16747567,0.00008930452,0.000012490996,0.00003907075,0.0006636948,0.8119531,0.018759537,0.000028080469,0.0005802329,0.00012718892],"about_ca_topic_score_codex":0.0000214959,"about_ca_topic_score_gemma":0.0000011518047,"teacher_disagreement_score":0.15883155,"about_ca_system_score_codex":0.00020204361,"about_ca_system_score_gemma":0.00005889174,"threshold_uncertainty_score":0.3316029},"labels":[],"label_agreement":null},{"id":"W4280550821","doi":"10.1016/j.petrol.2022.110652","title":"Seismic inverse modeling method based on generative adversarial networks","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Inversion (geology); Computer science; Algorithm; Markov chain Monte Carlo; Inverse problem; Seismic inversion; Synthetic data; Inverse; Robustness (evolution); Data mining; Mathematical optimization; Geology; Artificial intelligence; Bayesian probability; Seismology; Data assimilation; Mathematics","score_opus":0.0114773123957247,"score_gpt":0.21422483683765753,"score_spread":0.20274752444193284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280550821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36760485,0.00015200968,0.62950754,0.00080907653,0.0012899258,0.000041113708,0.000006152216,0.000038632716,0.00055068784],"genre_scores_gemma":[0.9790046,0.000017310955,0.019490128,0.0013139375,0.00015561162,3.7429078e-7,0.000001236907,0.0000027899646,0.000014008612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988255,0.00004238439,0.00019174007,0.0001433635,0.0005717892,0.00022520489],"domain_scores_gemma":[0.99956214,0.00007017434,0.00009076565,0.00007957358,0.000068486544,0.00012885734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020538976,0.000091223315,0.00013750378,0.0004219961,0.0003496888,0.00006581339,0.00026099902,0.00001789123,0.00009243196],"category_scores_gemma":[0.00007819249,0.0000770805,0.00004762231,0.00036982843,0.00004788904,0.00033925864,0.000023112636,0.0003673493,9.456319e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002671367,0.000004554395,0.00051091175,0.0000019553772,0.0000031242369,0.000010480363,0.00007011142,0.9941664,0.00021586307,0.000008339303,0.0005158292,0.004465752],"study_design_scores_gemma":[0.00023627533,0.00026339066,0.0002044916,0.000012701706,0.000008495445,0.00006021859,0.00024048465,0.9963701,0.00016594178,0.00003044008,0.0023147985,0.000092680355],"about_ca_topic_score_codex":0.00016179813,"about_ca_topic_score_gemma":8.8839056e-7,"teacher_disagreement_score":0.61139977,"about_ca_system_score_codex":0.000040329374,"about_ca_system_score_gemma":0.00015612373,"threshold_uncertainty_score":0.31432515},"labels":[],"label_agreement":null},{"id":"W4280572639","doi":"10.1016/j.petrol.2022.110613","title":"Unconventional well shut-in and reopening: Multiphase gas-oil interactions and their consequences on well performance","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Shut down; Oil well; Environmental science; Geology; Engineering; Process engineering","score_opus":0.010133098908161236,"score_gpt":0.21427031758437975,"score_spread":0.2041372186762185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280572639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979277,0.0004225613,0.00033998291,0.00033890267,0.00024651556,0.000013223742,0.0000015708634,0.000013685227,0.0006958568],"genre_scores_gemma":[0.9990857,0.0006168478,0.00015654405,0.000027131988,0.000040227947,0.0000038073026,4.5274027e-7,0.000006383954,0.000062859785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924874,0.000012473648,0.00023131109,0.000107904794,0.00024580053,0.00015379376],"domain_scores_gemma":[0.9996993,0.00005103569,0.000050144485,0.000054781372,0.00003524362,0.00010948914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063632504,0.00009455288,0.000146772,0.0005389776,0.00016271403,0.0000715362,0.000110567904,0.000012633828,0.000033133005],"category_scores_gemma":[0.0000316878,0.00007815408,0.000027415152,0.00037178144,0.00009353852,0.0004604953,0.0000416161,0.000298295,8.585364e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016977978,0.000018843668,0.0015908862,0.000033011816,0.00001892663,0.00001782307,0.0006189591,0.9496498,0.045714714,0.0000474586,0.00004186694,0.0022307427],"study_design_scores_gemma":[0.0003838656,0.00010391379,0.0015063817,0.000058117417,0.000005344712,0.00019616615,0.0016325426,0.9894721,0.0021852816,0.00001077112,0.004338937,0.00010657065],"about_ca_topic_score_codex":0.000006039352,"about_ca_topic_score_gemma":0.000008087265,"teacher_disagreement_score":0.043529432,"about_ca_system_score_codex":0.00008146501,"about_ca_system_score_gemma":0.000042021933,"threshold_uncertainty_score":0.3187031},"labels":[],"label_agreement":null},{"id":"W4280599980","doi":"10.1016/j.petrol.2022.110585","title":"Analysis of depleted gas reservoir underground gas storage wellbore integrity change during gas injection and production processes","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Wellbore; Petroleum engineering; Environmental science; Geology","score_opus":0.01436918469103094,"score_gpt":0.2117412531622182,"score_spread":0.19737206847118727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280599980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934615,0.0016666764,0.004056485,0.000091449365,0.00055740913,0.00005382921,0.000004438737,0.00007386238,0.000034371686],"genre_scores_gemma":[0.99872696,0.00074515276,0.00031674065,0.0000031248712,0.00016654447,0.000008627352,0.0000014374021,0.000022205866,0.000009223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985296,0.000014872756,0.00037794505,0.00020485622,0.0005782838,0.00029445873],"domain_scores_gemma":[0.99935603,0.000040963456,0.0001300477,0.00014435225,0.00019767706,0.00013092549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067949,0.00016900524,0.00033722178,0.0015003465,0.00021850171,0.000072380004,0.00019546795,0.00003783985,0.0000054113775],"category_scores_gemma":[0.00019514954,0.000168947,0.000060951697,0.002429266,0.00006688275,0.00077926513,0.00008092488,0.0005002212,9.9865716e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015328078,0.000016030603,0.002636931,0.00035538722,0.00012378505,0.000008724122,0.0010161091,0.95301634,0.042058386,0.000011977981,0.000009059054,0.00073195295],"study_design_scores_gemma":[0.0002713592,0.00018495852,0.01997869,0.00015419249,0.00025366768,0.00029606812,0.0012191138,0.9719541,0.0050743767,0.00002536415,0.00032287763,0.00026519972],"about_ca_topic_score_codex":0.000032488282,"about_ca_topic_score_gemma":0.00001851912,"teacher_disagreement_score":0.03698401,"about_ca_system_score_codex":0.0002659571,"about_ca_system_score_gemma":0.00005492901,"threshold_uncertainty_score":0.6889459},"labels":[],"label_agreement":null},{"id":"W4281388631","doi":"10.1016/j.petrol.2022.110671","title":"In situ stress field in the Athabasca oil sands deposits: Field measurement, stress-field modeling, and engineering implications","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Geomechanica (Canada); University of Calgary","funders":"","keywords":"Oil sands; Field (mathematics); Stress field; Geology; Stress (linguistics); Oil field; Geotechnical engineering; Petroleum engineering; Asphalt; Engineering; Materials science; Finite element method; Composite material","score_opus":0.00992036886654829,"score_gpt":0.21719709357147446,"score_spread":0.20727672470492617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281388631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816244,0.0022154734,0.013817485,0.0017554549,0.0002084643,0.000027661024,0.0000020362486,0.00002156641,0.00032742837],"genre_scores_gemma":[0.99923337,0.00034552848,0.00020666546,0.0001022847,0.000082974584,0.000012327272,3.0452009e-7,0.000010528445,0.00000602957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986451,0.000014563118,0.00034562164,0.00014638274,0.0005429973,0.00030533166],"domain_scores_gemma":[0.99950486,0.00013475647,0.00004479389,0.00016677723,0.00005290622,0.000095914205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010621184,0.00013671376,0.00020131544,0.0005497643,0.00015329104,0.00010984936,0.0003998724,0.000042676995,0.0000073025976],"category_scores_gemma":[0.00023762305,0.000112677735,0.00005182258,0.00065899617,0.000011372578,0.00036115706,0.000083463194,0.0006535091,1.4387359e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004231318,0.000018737319,0.0026781657,0.00006108388,0.000017742697,0.000022627011,0.00062990753,0.9846003,0.010937895,0.000018412442,0.0000651594,0.00094573747],"study_design_scores_gemma":[0.00039835458,0.00014124281,0.007311201,0.00018528246,0.00003242935,0.00012993535,0.0008881112,0.9833131,0.0067393817,0.000013790647,0.0006135904,0.00023359348],"about_ca_topic_score_codex":0.00011214935,"about_ca_topic_score_gemma":0.00017065741,"teacher_disagreement_score":0.017608928,"about_ca_system_score_codex":0.00012105879,"about_ca_system_score_gemma":0.000041288986,"threshold_uncertainty_score":0.45948645},"labels":[],"label_agreement":null},{"id":"W4281640500","doi":"10.1016/j.petrol.2022.110707","title":"Model-based life cycle control of ICVs in injectors in a benchmark analogous to a pre-salt field","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China National Offshore Oil Corporation; China National Petroleum Corporation; Energi Simulation; Petrobras; Shell; U.S. Department of Energy","keywords":"Engineering; Injector; Bottleneck; Petroleum engineering; Context (archaeology); Control valves; Geography; Operations management; Mechanical engineering","score_opus":0.007923414542733428,"score_gpt":0.24471692223080213,"score_spread":0.2367935076880687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281640500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82319826,0.00023998288,0.17621806,0.000069084046,0.00017252789,0.0000477651,0.0000028602817,0.000014952532,0.000036476475],"genre_scores_gemma":[0.99231726,0.000007771498,0.007571472,0.000053975757,0.000025929601,0.000008960062,1.6886499e-7,0.000012422315,0.0000020377297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869597,0.00002103651,0.00045589058,0.000111292284,0.00044794442,0.00026786927],"domain_scores_gemma":[0.99943984,0.00016825226,0.000053870906,0.00011836846,0.000056345143,0.00016334603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612785,0.000110685854,0.00028917007,0.0012350525,0.000031786232,0.000023699306,0.00027144505,0.00003030948,0.00000836109],"category_scores_gemma":[0.00050967134,0.00011406696,0.000043045216,0.0010302388,0.00001660751,0.00019966222,0.000036548714,0.000358572,9.847902e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034090426,0.000015679867,0.0027852897,0.00004232285,0.0000044952685,0.000010012821,0.00032364167,0.9772586,0.01909137,0.000015011592,0.000010828544,0.00040863562],"study_design_scores_gemma":[0.0007105119,0.00017239474,0.010336656,0.000048228863,0.000003985813,0.0000069885778,0.000055549157,0.98779,0.0006917995,0.00002382969,0.000049009162,0.00011104986],"about_ca_topic_score_codex":0.000024246605,"about_ca_topic_score_gemma":0.0000055822593,"teacher_disagreement_score":0.16911899,"about_ca_system_score_codex":0.0001673591,"about_ca_system_score_gemma":0.00012728196,"threshold_uncertainty_score":0.46515155},"labels":[],"label_agreement":null},{"id":"W4283767257","doi":"10.1016/j.petrol.2022.110822","title":"Hydrogeochemistry of oil-field formation water in relation to diagenesis of reservoirs: A case study from Shahejie formation, Dongying Depression","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Halite; Geology; Carbonate; Feldspar; Dissolution; Anhydrite; Diagenesis; Geochemistry; Plagioclase; Mineralogy; Salinity; Clastic rock; Silicate; Facies; Dolomite; Quartz; Chemistry; Sedimentary rock; Gypsum; Geomorphology","score_opus":0.009217891248396866,"score_gpt":0.2161460574395439,"score_spread":0.20692816619114704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283767257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945667,0.00012652199,0.0050971033,0.00004638887,0.00007348171,0.000032071774,0.0000023117623,0.000009791211,0.000045657518],"genre_scores_gemma":[0.9996051,0.000028587256,0.000321304,0.0000050006706,0.00002104817,0.00000846935,0.0000015879696,0.000006475593,0.0000023816394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987145,0.0000195377,0.0005484788,0.00008009489,0.00050106255,0.00013630229],"domain_scores_gemma":[0.9995634,0.000044361153,0.00010061477,0.000117038086,0.000099299345,0.000075311415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094621506,0.00007816357,0.000190518,0.0006431828,0.00008059301,0.000024491588,0.00016029428,0.000023716962,0.00001273824],"category_scores_gemma":[0.000102186415,0.000065302156,0.000040419676,0.0005733954,0.000009771064,0.0008312315,0.00008223557,0.00016218366,1.9593698e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010367357,0.000021161122,0.002311617,0.000040481595,0.000009497373,0.000039368264,0.0049559795,0.69991326,0.29225838,3.1616415e-7,0.000006054295,0.0004335299],"study_design_scores_gemma":[0.00041309473,0.00009451143,0.00097579544,0.000073222895,0.00002541232,0.00012646453,0.010378033,0.7915977,0.1961836,0.0000061101637,0.000032882956,0.00009314711],"about_ca_topic_score_codex":0.000078941535,"about_ca_topic_score_gemma":0.000026005466,"teacher_disagreement_score":0.09607477,"about_ca_system_score_codex":0.000113934584,"about_ca_system_score_gemma":0.000018634659,"threshold_uncertainty_score":0.26629448},"labels":[],"label_agreement":null},{"id":"W4285010532","doi":"10.1016/j.petrol.2022.110846","title":"Elucidation of the mechanistic aspects of chemical EOR in viscous oil systems","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Enhanced oil recovery; Oil in place; Emulsion; Surface tension; Viscosity; Residual oil; Petroleum engineering; Micromodel; Viscous fingering; Chemical engineering; Oil droplet; Oil field; Pulmonary surfactant; Materials science; Chemistry; Geology; Porous medium; Composite material; Petroleum; Thermodynamics; Organic chemistry; Porosity","score_opus":0.004007324853985585,"score_gpt":0.18815080549667534,"score_spread":0.18414348064268976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285010532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99452597,0.000341104,0.0041167582,0.000013492351,0.00042567166,0.000018552468,0.0000022856364,0.000015062804,0.0005410938],"genre_scores_gemma":[0.9994399,0.000040246843,0.0004788705,0.0000019229917,0.000023163666,0.0000035126143,6.6821265e-8,0.000007630837,0.0000046915657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990432,0.000008289096,0.0003068334,0.000059012244,0.0004564241,0.00012623714],"domain_scores_gemma":[0.99966663,0.00003932408,0.00010992257,0.0000918612,0.00006079345,0.000031462598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077924156,0.000062635285,0.00016512745,0.00025874894,0.000022082622,0.000012460712,0.00026546774,0.00001782136,0.0000027407063],"category_scores_gemma":[0.00013187999,0.000051720686,0.000031983946,0.00046088803,0.000036633366,0.00017241602,0.000059416045,0.0002140594,5.001137e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024662393,0.000006204633,0.000032793127,0.00007199853,0.0000031003094,0.0000019684933,0.000058458336,0.29707468,0.70167977,0.0006206572,0.0000055237283,0.00044239018],"study_design_scores_gemma":[0.0002109394,0.00010870534,0.0007896927,0.00024333435,0.000011503107,0.00014085075,0.00017432962,0.40425742,0.5936817,0.00013822368,0.00013924687,0.000104047744],"about_ca_topic_score_codex":0.000006478354,"about_ca_topic_score_gemma":5.449204e-7,"teacher_disagreement_score":0.10799805,"about_ca_system_score_codex":0.00019620558,"about_ca_system_score_gemma":0.00006038587,"threshold_uncertainty_score":0.21091083},"labels":[],"label_agreement":null},{"id":"W4285384162","doi":"10.1016/j.petrol.2022.110859","title":"Novel laboratory methodology for fines migration testing for SAGD wells","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Geology","score_opus":0.02940388739805256,"score_gpt":0.2552255012030878,"score_spread":0.22582161380503524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285384162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.542728,0.0007397079,0.45524132,0.00036032102,0.00077306415,0.00006459399,0.00001778933,0.00004234524,0.000032850425],"genre_scores_gemma":[0.9165656,0.000017330394,0.08307692,0.00003465393,0.00024660563,0.00001920792,7.599464e-7,0.000015215567,0.000023686334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999168,0.000008078918,0.00025636482,0.00010059847,0.00023727637,0.00022969866],"domain_scores_gemma":[0.9991917,0.0003771962,0.00007733688,0.00007148095,0.00019980734,0.00008248293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020299694,0.00008938783,0.00019511933,0.000382935,0.00021420077,0.00004606637,0.00019171037,0.00002307411,0.0000026416335],"category_scores_gemma":[0.0007911556,0.0000804464,0.00006243926,0.00043598583,0.000029639265,0.0002220067,0.000028501794,0.00015826235,1.014545e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046719074,0.000005255295,0.00007894359,0.000046452325,0.000017100718,7.970615e-7,0.00009207547,0.7210403,0.27788287,0.000013871739,0.00019443315,0.0006232087],"study_design_scores_gemma":[0.00038192488,0.00020305451,0.0009216819,0.000020319816,0.000046016386,0.00006196123,0.00023963151,0.9641706,0.011281121,0.00003171794,0.02250789,0.00013410051],"about_ca_topic_score_codex":0.0000064051915,"about_ca_topic_score_gemma":0.0000022529332,"teacher_disagreement_score":0.37383762,"about_ca_system_score_codex":0.000097373246,"about_ca_system_score_gemma":0.000074897805,"threshold_uncertainty_score":0.3280509},"labels":[],"label_agreement":null},{"id":"W4289131095","doi":"10.1016/j.petrol.2022.110894","title":"Insights into in-situ upgrading of bitumen in the hybrid of steam and combustion process: From experimental analysis aspects","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation","keywords":"Asphalt; Combustion; Waste management; Process (computing); Environmental science; Steam explosion; In situ; Petroleum engineering; Process engineering; Boiler (water heating); Engineering; Materials science; Chemistry; Pulp and paper industry; Computer science; Composite material","score_opus":0.005969380631356392,"score_gpt":0.22538965466744385,"score_spread":0.21942027403608746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289131095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722457,0.0023784018,0.00010321202,0.000036152338,0.000020170926,0.000003847001,0.0000012047531,0.0000026786956,0.0002297852],"genre_scores_gemma":[0.99981284,0.000047147598,0.00010134225,0.0000065811937,0.000021629527,0.000002166744,9.141549e-7,0.0000035780631,0.000003796687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987928,0.000014488353,0.00037073772,0.00013635191,0.0005643424,0.00012126548],"domain_scores_gemma":[0.9995109,0.00005409893,0.00025126498,0.00008739467,0.000051413917,0.000044968463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005850231,0.0000840776,0.00029079372,0.0007969286,0.00008696954,0.00003551758,0.0002715674,0.000014176234,0.0000063457396],"category_scores_gemma":[0.000058818874,0.00006572449,0.00005282652,0.0011066842,0.00008624264,0.00030255865,0.000058192498,0.00022922509,1.721687e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014928025,0.000074148025,0.009499291,0.000045575125,0.000048014477,0.000017221664,0.0031789113,0.054898094,0.9317864,0.000018838407,6.7203075e-7,0.00041788505],"study_design_scores_gemma":[0.0016469639,0.00024516473,0.027644377,0.00036377783,0.00038513314,0.00007293815,0.04395696,0.26253545,0.6625246,0.00024915437,0.0000538243,0.00032169124],"about_ca_topic_score_codex":0.000075468044,"about_ca_topic_score_gemma":0.000014243767,"teacher_disagreement_score":0.26926187,"about_ca_system_score_codex":0.000105236584,"about_ca_system_score_gemma":0.000076516284,"threshold_uncertainty_score":0.2680167},"labels":[],"label_agreement":null},{"id":"W4289528853","doi":"10.1016/j.petrol.2022.110925","title":"Investigation on water-drive performance of a fault-karst carbonate reservoir under different well patterns and injection-production modes based on 2D visualized physical models","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Carbonate; Karst; Geology; Petroleum engineering; Fault (geology); Water injection (oil production); Petrology; Seismology; Materials science","score_opus":0.01558726482127977,"score_gpt":0.22730945801593194,"score_spread":0.2117221931946522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289528853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478143,0.000018209988,0.0047807028,0.00005180827,0.00020663034,0.000049186416,0.0000027803635,0.000048319136,0.000060946597],"genre_scores_gemma":[0.9995846,0.00006836761,0.00023928864,0.000015589118,0.000055934055,0.0000112291455,9.651833e-7,0.000017119433,0.0000069016846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998866,0.000018157736,0.00022601851,0.0001542941,0.0005494844,0.00018600925],"domain_scores_gemma":[0.999644,0.00003507933,0.00006892688,0.00011031469,0.00007484561,0.00006686347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040650758,0.00013634903,0.00019696755,0.00047393568,0.000108586355,0.000032040945,0.00012728608,0.000023393812,0.00000176219],"category_scores_gemma":[0.000019615321,0.00010907698,0.000035863908,0.0001977464,0.000053760017,0.0004426393,0.000042106058,0.00031372576,1.0595861e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028775641,0.000013747464,0.00023297928,0.000055610282,0.000005417056,6.8830985e-7,0.00020725823,0.73037153,0.26889807,0.000050490293,0.0000027057,0.0001327235],"study_design_scores_gemma":[0.00016634032,0.00048235408,0.0015927368,0.00010323339,0.0000076090514,0.000010148175,0.000075698495,0.72724944,0.2700796,0.00014263912,0.000003792417,0.00008642395],"about_ca_topic_score_codex":0.000007310691,"about_ca_topic_score_gemma":0.0000012523146,"teacher_disagreement_score":0.004803189,"about_ca_system_score_codex":0.00024661922,"about_ca_system_score_gemma":0.000021797141,"threshold_uncertainty_score":0.44480303},"labels":[],"label_agreement":null},{"id":"W4291171905","doi":"10.1016/j.petrol.2022.110944","title":"A hybrid GBPSO algorithm for permeability estimation using particle size distribution and porosity","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Porosity; Particle swarm optimization; Permeability (electromagnetism); Particle-size distribution; Particle size; Correlation coefficient; Range (aeronautics); Algorithm; Materials science; Mathematical optimization; Computer science; Mathematics; Mineralogy; Geology; Statistics; Composite material; Chemistry","score_opus":0.009227413378426991,"score_gpt":0.2240954560496026,"score_spread":0.2148680426711756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291171905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70133847,0.00012332923,0.29832503,0.000055510514,0.000105491315,0.000025272213,0.000009990239,0.000015168501,0.0000017374474],"genre_scores_gemma":[0.993965,0.000020863596,0.0059555643,0.0000071864083,0.000038198687,0.000003872603,0.0000013430114,0.0000054795755,0.0000024830204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924797,0.000008735834,0.00020547473,0.00008663915,0.0002947906,0.00015641731],"domain_scores_gemma":[0.9996668,0.00004164061,0.00004714435,0.000057636604,0.00008112894,0.00010564171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009605449,0.0000666674,0.00012756759,0.00005923426,0.00023835595,0.000069834874,0.00007870843,0.000009946866,0.000004328225],"category_scores_gemma":[0.00014881157,0.000063507396,0.000037689617,0.0002254086,0.00004509695,0.0004357561,0.00003482279,0.00011355794,6.52665e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035081498,0.000010880193,0.00019993293,0.000019789877,0.000010795526,0.000002376412,0.00011749769,0.9463237,0.048798338,0.000020766514,0.000011621636,0.0044808174],"study_design_scores_gemma":[0.00021470465,0.000053912147,0.0018921569,0.000006063862,0.000024585437,0.00007655701,0.0001404993,0.9935927,0.003716011,0.000043347485,0.0001682325,0.000071262395],"about_ca_topic_score_codex":0.0000037591442,"about_ca_topic_score_gemma":3.1232742e-7,"teacher_disagreement_score":0.29262653,"about_ca_system_score_codex":0.00018335223,"about_ca_system_score_gemma":0.0000391337,"threshold_uncertainty_score":0.25897563},"labels":[],"label_agreement":null},{"id":"W4293879823","doi":"10.1016/j.petrol.2022.110999","title":"Passive flow control devices—well design and physics of their different flow regimes: A review","year":2022,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Flow (mathematics); Flow control (data); Fluid dynamics; Mechanics; Physics; Computer science; Telecommunications","score_opus":0.020085358086462272,"score_gpt":0.241345711835108,"score_spread":0.22126035374864572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293879823","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020605159,0.97428894,0.024980413,0.000036955753,0.00039387215,0.00018918936,0.000010022342,0.00004926161,0.000030745698],"genre_scores_gemma":[0.00036082685,0.9951031,0.004235655,0.000019865683,0.00020586724,0.000027166403,0.0000011162028,0.00003659478,0.00000979265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828166,0.00004890595,0.0007147415,0.000216934,0.00046490875,0.00027282714],"domain_scores_gemma":[0.9989674,0.00017200483,0.0003703136,0.00021733486,0.00012284369,0.00015012278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011130007,0.00035912354,0.0014719289,0.0002805892,0.00007654405,0.000053444746,0.0003719208,0.00006779282,0.000013598793],"category_scores_gemma":[0.000101542144,0.0002514224,0.000222714,0.00047714793,0.0000913321,0.00032931726,0.000065014916,0.0005774895,4.292673e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002221279,0.000014167001,5.9237595e-7,0.021294259,0.0001104123,0.000009001101,0.000049505532,0.010589288,0.000049619568,0.000008297989,0.0004338011,0.9674388],"study_design_scores_gemma":[0.0003130756,0.00034256687,0.000007798915,0.033998746,0.0008652248,0.0006621448,0.000030861684,0.075298905,0.0003072505,0.000048748996,0.88753176,0.00059294276],"about_ca_topic_score_codex":5.0176624e-7,"about_ca_topic_score_gemma":5.596711e-8,"teacher_disagreement_score":0.96684587,"about_ca_system_score_codex":0.00014873387,"about_ca_system_score_gemma":0.00012187413,"threshold_uncertainty_score":0.9999938},"labels":[],"label_agreement":null},{"id":"W4295530490","doi":"10.1016/j.petrol.2022.111050","title":"Monitoring CO2 injection and retention in steam-assisted gravity drainage (SAGD) operations","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Suncor Energy (Canada); University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Steam injection; Petroleum engineering; Steam-assisted gravity drainage; Environmental science; Enhanced oil recovery; Waste management; Environmental engineering; Oil sands; Asphalt; Engineering; Geology","score_opus":0.01635604654627626,"score_gpt":0.2565516372158603,"score_spread":0.240195590669584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295530490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797318,0.0007539981,0.018662928,0.000026344092,0.0006848181,0.00003537815,0.0000011756227,0.00004050596,0.000063075364],"genre_scores_gemma":[0.99462885,0.00008331593,0.005171355,0.0000020790835,0.00007534497,0.000005631483,2.9140352e-7,0.000011786561,0.000021342517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990262,0.000019844869,0.0002856189,0.000107795924,0.0003708507,0.00018969405],"domain_scores_gemma":[0.99968255,0.000042034546,0.000032084557,0.000080095306,0.00006695808,0.000096294316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016370873,0.00009535224,0.00015457593,0.00063747464,0.00017911449,0.00009188229,0.000118084,0.00002522594,0.000003040637],"category_scores_gemma":[0.00013113757,0.000100515266,0.000026435226,0.0006344325,0.000028332634,0.0005620881,0.000050440685,0.00036454794,1.1190592e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003442541,0.000005955352,0.0016566657,0.000026408736,0.000004654358,0.0000072596977,0.00022860689,0.9039726,0.09238399,0.000051232084,0.0000023271632,0.0016568489],"study_design_scores_gemma":[0.0003755696,0.000087066495,0.09229827,0.0000469417,0.0000073700376,0.00015230865,0.00041845202,0.9051673,0.0011345232,0.000025618265,0.00017117937,0.00011542626],"about_ca_topic_score_codex":0.000011983029,"about_ca_topic_score_gemma":0.0000016746282,"teacher_disagreement_score":0.091249466,"about_ca_system_score_codex":0.00023432936,"about_ca_system_score_gemma":0.000030287329,"threshold_uncertainty_score":0.40988937},"labels":[],"label_agreement":null},{"id":"W4306740394","doi":"10.1016/j.petrol.2022.111134","title":"Analysis of fracture interference – Coupling of flow and geomechanical computations with discrete fracture modeling using MRST","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta","keywords":"Fracture (geology); Poromechanics; Computation; Discretization; Coupling (piping); Matrix (chemical analysis); Computer science; Flow (mathematics); Geomechanics; Hydraulic fracturing; Reservoir simulation; Domain (mathematical analysis); Geology; Mechanics; Geotechnical engineering; Algorithm; Porous medium; Petroleum engineering; Engineering; Mathematics; Materials science; Physics; Mechanical engineering; Porosity; Mathematical analysis","score_opus":0.007850560602588482,"score_gpt":0.2182809536161614,"score_spread":0.21043039301357291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306740394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55767417,0.00035689253,0.44187757,0.000030220073,0.000035441255,0.000011272344,0.000003987219,0.000007182375,0.0000032354092],"genre_scores_gemma":[0.99585044,0.00006758944,0.004031568,0.000009627028,0.00002666517,7.0983094e-7,0.000001271409,0.000011207641,9.137396e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987329,0.0000061282117,0.00040130498,0.00013340874,0.000536313,0.00018991037],"domain_scores_gemma":[0.9993923,0.00006450759,0.00015055595,0.00011761644,0.00015714564,0.00011790628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626731,0.00012820929,0.00043354335,0.00096396776,0.00014149363,0.000041143347,0.00021618082,0.000032665044,0.000010948843],"category_scores_gemma":[0.000043831173,0.000100589416,0.0000902712,0.0011225708,0.00006851231,0.00027586156,0.00007301487,0.0004008323,1.6901415e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010572078,0.000008847651,0.0005724693,0.00005190221,0.00029750008,0.0000059362696,0.00042714365,0.98975945,0.008791779,0.0000023025113,9.511984e-7,0.000071176546],"study_design_scores_gemma":[0.00015732703,0.00008162648,0.0007665276,0.00007725453,0.00044832643,0.000036107325,0.0005481467,0.9970104,0.0007438723,0.000005110113,0.000017157046,0.000108150445],"about_ca_topic_score_codex":0.000035454443,"about_ca_topic_score_gemma":0.0000045961833,"teacher_disagreement_score":0.43817627,"about_ca_system_score_codex":0.000075105,"about_ca_system_score_gemma":0.00005844862,"threshold_uncertainty_score":0.41019174},"labels":[],"label_agreement":null},{"id":"W4308148757","doi":"10.1016/j.petrol.2022.111152","title":"Reasons for low flowback behaviors of water-based fluids in tight sandstone gas reservoirs","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Sichuan Province Youth Science and Technology Innovation Team; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Tight gas; Petroleum engineering; Water saturation; Formation water; Permeability (electromagnetism); Geology; Saturation (graph theory); Water retention; Water flow; Fracturing fluid; Hydraulic fracturing; Environmental science; Chemistry; Geotechnical engineering; Soil science; Porosity; Soil water","score_opus":0.007933698944440463,"score_gpt":0.21921883233106224,"score_spread":0.21128513338662178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308148757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99186534,0.00022288504,0.0072988328,0.0002531631,0.00024431816,0.00004420668,0.000005632502,0.000016960164,0.00004868328],"genre_scores_gemma":[0.9988166,0.00005142382,0.0010392222,0.000009067432,0.000038206126,0.000012117117,0.0000020431432,0.000014550009,0.000016748494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998695,0.000012330478,0.00040190495,0.000106028914,0.000514586,0.00027015284],"domain_scores_gemma":[0.99957424,0.00003318467,0.00004800813,0.00012312511,0.00009874467,0.00012272301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012532709,0.00010350658,0.0002536189,0.0008513168,0.00009607358,0.000030363824,0.0002766656,0.0000260275,0.000025427153],"category_scores_gemma":[0.000060865357,0.00008458544,0.00009098758,0.0006304339,0.000054138494,0.0002750262,0.000041273932,0.00021699126,3.115884e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000122645315,0.000021116479,0.0003545386,0.000038386916,0.000007814625,0.0000073742845,0.00021235303,0.7178878,0.281309,0.00000873017,0.00006248226,0.00007809489],"study_design_scores_gemma":[0.000643266,0.00016299853,0.00048344806,0.000046371515,0.00002420912,0.000016877215,0.00031983847,0.941743,0.055348877,0.000009149751,0.0010780316,0.00012390756],"about_ca_topic_score_codex":0.0000075774055,"about_ca_topic_score_gemma":0.000007152946,"teacher_disagreement_score":0.22596014,"about_ca_system_score_codex":0.00015413719,"about_ca_system_score_gemma":0.000075199154,"threshold_uncertainty_score":0.3449294},"labels":[],"label_agreement":null},{"id":"W4308887525","doi":"10.1016/j.petrol.2022.111187","title":"Interwell Stratigraphic Correlation Detection based on knowledge-enhanced few-shot learning","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Generalizability theory; Softmax function; Computer science; Artificial intelligence; Matching (statistics); Machine learning; Data mining; Pattern recognition (psychology); Deep learning; Mathematics","score_opus":0.005360737307447395,"score_gpt":0.20294588622607918,"score_spread":0.19758514891863177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308887525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8636252,0.00025976327,0.13411684,0.000033034416,0.0006901751,0.000021787013,4.0127492e-7,0.00006395961,0.001188806],"genre_scores_gemma":[0.9996878,0.000034778546,0.00012812983,0.000007894559,0.00008975657,0.000003233361,3.623646e-7,0.000012189645,0.00003586272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989813,0.00002147787,0.00024152809,0.00011202578,0.00044225116,0.00020144634],"domain_scores_gemma":[0.999605,0.00006181112,0.00007219968,0.00008198817,0.00007203926,0.00010698948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008891559,0.00010842797,0.00015161234,0.0008219946,0.0002665004,0.00007015986,0.00017147677,0.000025708792,0.00002372028],"category_scores_gemma":[0.00009946288,0.00010007581,0.00007262408,0.00069299387,0.00003325046,0.00024489398,0.000022889431,0.00062274316,0.0000016246267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000849893,0.000011568832,0.00009316636,0.00002234327,0.000011340547,0.0000041107787,0.00018587275,0.9339263,0.06364568,0.0000019958804,0.000009631628,0.002079511],"study_design_scores_gemma":[0.00021292325,0.00024340748,0.0022493151,0.00004436412,0.000017552647,0.000023419538,0.00023057304,0.98733425,0.008583398,0.0000027057722,0.0009494908,0.00010858994],"about_ca_topic_score_codex":0.0000028803506,"about_ca_topic_score_gemma":0.0000036773279,"teacher_disagreement_score":0.13606256,"about_ca_system_score_codex":0.00018209248,"about_ca_system_score_gemma":0.000053109445,"threshold_uncertainty_score":0.40809733},"labels":[],"label_agreement":null},{"id":"W4323644312","doi":"10.1016/j.petrol.2022.111199","title":"Stochastic modelling of wellbore leakage in British Columbia","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Casing; Leakage (economics); Wellbore; Petroleum engineering; Log-normal distribution; Volumetric flow rate; Geology; Geotechnical engineering; Environmental science; Mechanics; Mathematics; Statistics","score_opus":0.006419444139502372,"score_gpt":0.16323409472969605,"score_spread":0.15681465059019367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323644312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91647416,0.001078425,0.081815235,0.0000069640128,0.00049379905,0.00002629842,0.0000037833304,0.000030616495,0.000070746064],"genre_scores_gemma":[0.9987762,0.00008891405,0.0010381263,0.0000033863018,0.000052842715,0.0000026486807,2.3415426e-7,0.000020591127,0.000017076902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873966,0.0000051892716,0.00038576603,0.00010426503,0.00048071137,0.0002844272],"domain_scores_gemma":[0.99965626,0.000038045535,0.00005996592,0.00008480193,0.000059004342,0.000101939004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000949817,0.00007956578,0.0002415955,0.00034215034,0.000081048696,0.00009317902,0.00025432147,0.000021888263,0.000013534598],"category_scores_gemma":[0.00004255395,0.00012672633,0.00004431478,0.00059915334,0.000044689332,0.00028832618,0.000055589942,0.00038746995,1.8719652e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012463463,0.000009566099,0.00034357156,0.00005395856,0.0000067056676,0.00002770723,0.0002096969,0.9919336,0.0065493383,0.000007841454,0.000028517403,0.000828269],"study_design_scores_gemma":[0.00025167607,0.000058993002,0.0012801752,0.00011249892,0.0000073361925,0.00021577254,0.0002346531,0.99731445,0.000119112985,0.000019907233,0.00026142108,0.00012401193],"about_ca_topic_score_codex":0.00018138888,"about_ca_topic_score_gemma":0.00005903998,"teacher_disagreement_score":0.08230205,"about_ca_system_score_codex":0.00015147992,"about_ca_system_score_gemma":0.000055193144,"threshold_uncertainty_score":0.51677495},"labels":[],"label_agreement":null},{"id":"W824115395","doi":"10.1016/j.petrol.2015.06.003","title":"Performance, simulation and field application modeling of rollercone bits","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Rate of penetration; Drilling; Offset (computer science); Computer science; Measurement while drilling; Simulation; Bit (key); Field (mathematics); Engineering; Mechanical engineering","score_opus":0.012390070681188017,"score_gpt":0.21283102961605957,"score_spread":0.20044095893487154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W824115395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7737171,0.0004212391,0.22536603,0.000010389011,0.00015818879,0.000016834938,1.8990146e-7,0.00002310398,0.000286912],"genre_scores_gemma":[0.99784887,0.00014155333,0.0019130876,0.000003239521,0.00008050475,7.1367964e-7,1.0060225e-7,0.000008968965,0.0000029494831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931,0.0000015669436,0.00023884217,0.00006472936,0.00025113372,0.00013373185],"domain_scores_gemma":[0.9996009,0.000030270627,0.000039772855,0.00006335331,0.00014385654,0.000121867684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921539,0.00007809282,0.00014517178,0.00028966478,0.000025429772,0.000025185365,0.000083826686,0.00003285732,3.1382382e-7],"category_scores_gemma":[0.00008092401,0.000072174924,0.000015834114,0.00023016677,0.000018994795,0.0004464335,0.000016746391,0.000115050934,2.923406e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036432384,0.0000022392378,0.00038582576,0.000052721356,0.00000518288,4.0118263e-7,0.00014329572,0.98234165,0.01346433,0.000021801023,0.0000025696909,0.003576363],"study_design_scores_gemma":[0.00020755912,0.00006529453,0.00027832648,0.000067705056,0.000008685081,0.000019165933,0.00004590674,0.99678564,0.0023052339,0.000009641028,0.00013288866,0.00007396199],"about_ca_topic_score_codex":0.000002238519,"about_ca_topic_score_gemma":1.4886321e-7,"teacher_disagreement_score":0.22413176,"about_ca_system_score_codex":0.00003445364,"about_ca_system_score_gemma":0.00002570802,"threshold_uncertainty_score":0.2943208},"labels":[],"label_agreement":null},{"id":"W973095086","doi":"10.1016/j.petrol.2015.07.001","title":"Sand rate model and data processing method for non-intrusive ultrasonic sand monitoring in flow pipeline","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China National Offshore Oil Corporation","keywords":"Ultrasonic sensor; Petroleum engineering; Pipeline transport; Pipeline (software); Environmental science; Filter (signal processing); Noise (video); SIGNAL (programming language); Geotechnical engineering; Volumetric flow rate; Acoustics; Engineering; Geology; Computer science; Environmental engineering; Mechanical engineering","score_opus":0.026721133697851455,"score_gpt":0.2838940249232267,"score_spread":0.25717289122537523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W973095086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24464543,0.0020546278,0.7526202,0.00004206099,0.00046637846,0.000061901635,0.0000065126237,0.000040307146,0.00006253425],"genre_scores_gemma":[0.8743306,0.00032966054,0.12500417,0.000005541131,0.00028734637,0.0000032870919,9.01018e-7,0.00002983275,0.000008677967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986633,0.000005718406,0.00039456497,0.0002325065,0.00029424718,0.00040965632],"domain_scores_gemma":[0.9992123,0.0000975314,0.00006733315,0.00017559686,0.00016799249,0.00027919837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027557486,0.00019558209,0.0003307142,0.00044017148,0.00006343878,0.00018129432,0.00033947706,0.000058747686,2.1067672e-7],"category_scores_gemma":[0.0004068822,0.00018041184,0.000023837261,0.00035934648,0.00004009636,0.0011229997,0.000071371585,0.00029152245,1.8474567e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000108964105,0.000004915089,0.00017463493,0.00012954093,0.0000076197457,0.0000061961555,0.00041704657,0.93601227,0.053966407,0.0000034064892,0.000040664774,0.0092264],"study_design_scores_gemma":[0.0007861865,0.00004021929,0.0002842582,0.000322191,0.000023929359,0.00008371295,0.00015624183,0.9916355,0.0062420033,0.000037261292,0.00018781578,0.00020068324],"about_ca_topic_score_codex":0.0000037117393,"about_ca_topic_score_gemma":0.0000010165749,"teacher_disagreement_score":0.62968516,"about_ca_system_score_codex":0.00012154267,"about_ca_system_score_gemma":0.00014323079,"threshold_uncertainty_score":0.7356981},"labels":[],"label_agreement":null}]}