{"meta":{"query_hash":"acdbbdeb1f2f","filters":{"venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition"},"cohort_total":64,"direct_labels_cover":0,"predictions_cover":64,"exported":64,"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/acdbbdeb1f2f","api":"https://metacan.xera.ac/api/v1/cohort?venue=SPE+Hydraulic+Fracturing+Technology+Conference+and+Exhibition"},"results":[{"id":"W2568747741","doi":"10.2118/184880-ms","title":"Far-Field Proppant Detection Using Electromagnetic Methods - Latest Field Results","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Petroleum engineering; Geology; Stage (stratigraphy); Electrical conductor; Magnetic field; Field (mathematics); Acoustics; Engineering; Electrical engineering","score_opus":0.02784714929766161,"score_gpt":0.2924922608674269,"score_spread":0.2646451115697653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568747741","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":[0.96280015,0.0002067309,0.02614905,0.0065614246,0.00021708828,0.00020575705,0.0000040388018,0.00017297191,0.0036827896],"genre_scores_gemma":[0.97683257,0.00014828314,0.02254093,0.00028305477,0.000110698886,0.000003143092,0.0000075116423,0.00000421841,0.000069618465],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986622,0.00008991356,0.0002487432,0.00045758963,0.00012178463,0.00041981725],"domain_scores_gemma":[0.9989957,0.00023166894,0.0002060031,0.0004196534,0.00005511329,0.00009183797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032181354,0.00019221999,0.0002542512,0.00017516318,0.00068492186,0.00017647886,0.00027238528,0.00034658512,0.00013674564],"category_scores_gemma":[0.0009228399,0.00015986775,0.00004828966,0.00015631138,0.00014957246,0.00028564222,0.00005166797,0.00054610707,0.000035415997],"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":[0.00009385411,0.0000147785295,0.0013667033,0.000014412386,0.000010679393,0.000014501422,0.000025804131,0.000024437997,0.023497976,0.00014045565,0.000009889282,0.9747865],"study_design_scores_gemma":[0.0006667284,0.0022066587,0.11715627,0.0000997597,0.00006582856,0.000127725,0.000045989516,0.05536246,0.6945711,0.1264663,0.0027364339,0.00049477135],"about_ca_topic_score_codex":0.0033678543,"about_ca_topic_score_gemma":0.0009156323,"teacher_disagreement_score":0.97429174,"about_ca_system_score_codex":0.0000062423005,"about_ca_system_score_gemma":0.00003083318,"threshold_uncertainty_score":0.65192175},"labels":[],"label_agreement":null},{"id":"W2569637887","doi":"10.2118/184815-ms","title":"Development of a Universal Ranking for Friction Reducer Performance","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Reducer; Pressure drop; Friction loss; Ranking (information retrieval); Transducer; Mechanical engineering; Computer science; Process engineering; Petroleum engineering; Materials science; Engineering; Mechanics; Artificial intelligence; Physics; Electrical engineering","score_opus":0.01779089486646502,"score_gpt":0.23815629674482908,"score_spread":0.22036540187836406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569637887","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":[0.84323883,0.00005898334,0.15439808,0.0005768014,0.00009535453,0.000108085434,0.0000016273141,0.00009612356,0.0014260767],"genre_scores_gemma":[0.98335963,0.00013029188,0.016262949,0.000010406145,0.00002985183,0.000025037563,0.000008560616,0.000008225946,0.00016502285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993875,0.0000027561005,0.0001775136,0.00019867062,0.000053557993,0.00018000382],"domain_scores_gemma":[0.9995462,0.000019762827,0.0001388282,0.0002098672,0.00006663051,0.000018737026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098034056,0.00011211844,0.0001788107,0.00012887474,0.00048079624,0.000013668602,0.00014688933,0.00020924043,0.000010701088],"category_scores_gemma":[0.00007207793,0.000112249836,0.000024760315,0.00003249266,0.0002007886,0.00017358114,0.000110787274,0.00016397871,0.0000033507504],"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":[0.00023558788,0.000085911524,0.007352654,0.00040049164,0.00022465877,0.0000050463177,0.0024201777,0.00049541757,0.66207093,0.094446056,0.000053491065,0.23220961],"study_design_scores_gemma":[0.0016554006,0.00012068567,0.015045618,0.00048121376,0.000063652304,0.000020601,0.0005818517,0.2611149,0.71167284,0.007279229,0.0015263768,0.00043761384],"about_ca_topic_score_codex":0.000008751206,"about_ca_topic_score_gemma":0.000014334522,"teacher_disagreement_score":0.2606195,"about_ca_system_score_codex":0.000033861277,"about_ca_system_score_gemma":0.0000251213,"threshold_uncertainty_score":0.45774156},"labels":[],"label_agreement":null},{"id":"W2569861142","doi":"10.2118/184867-ms","title":"Accelerating Completions Concept Select in Unconventional Plays Using Diagnostics and Frac Modeling","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"Academy of Finland","keywords":"Development (topology); Field (mathematics); Key (lock); Process (computing); Computer science; Planar; Mathematical optimization; Engineering; Mathematics; Mathematical analysis; Pure mathematics","score_opus":0.03340501444299354,"score_gpt":0.2609794733833075,"score_spread":0.22757445894031397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569861142","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":[0.9186438,0.00078878796,0.07841333,0.0009780996,0.00010046049,0.00014276677,0.000010222469,0.0002519742,0.00067059643],"genre_scores_gemma":[0.996504,0.00080450124,0.0024659315,0.00004234429,0.0000954007,0.000018903747,0.000033867935,0.000026088346,0.000008974483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987513,0.000022395992,0.00034186375,0.0003641346,0.00014130626,0.00037901805],"domain_scores_gemma":[0.99933785,0.00006337969,0.00010159581,0.0003555427,0.00006090344,0.00008072973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015711233,0.00024855247,0.0003438622,0.00039326155,0.0006498794,0.00023868213,0.00021565009,0.00032539977,0.00004511699],"category_scores_gemma":[0.00016291873,0.00026159058,0.000045133835,0.00011967338,0.0002515283,0.00041074035,0.0001466979,0.00060782646,0.000005318815],"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":[0.000011796223,0.00006122978,0.017584879,0.00015907713,0.00012780832,0.00008624772,0.00062036753,0.9609507,0.005268315,0.001664739,0.0000834023,0.013381494],"study_design_scores_gemma":[0.0005191475,0.000026405258,0.00474811,0.00033945058,0.00004081838,0.000046785663,0.00022851519,0.9794893,0.005013499,0.009106565,0.00011819116,0.00032317147],"about_ca_topic_score_codex":0.00036548797,"about_ca_topic_score_gemma":0.00028843293,"teacher_disagreement_score":0.07786023,"about_ca_system_score_codex":0.00006740538,"about_ca_system_score_gemma":0.000028131493,"threshold_uncertainty_score":0.9999836},"labels":[],"label_agreement":null},{"id":"W2570714964","doi":"10.2118/184834-ms","title":"Extreme Limited Entry Design Improves Distribution Efficiency in Plug-n-Perf Completions: Insights from Fiber-Optic Diagnostics","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Shell (Canada)","funders":"Shell Canada","keywords":"Spark plug; Well stimulation; Perforation; Pressure drop; Fracture (geology); Stress (linguistics); Wellhead; Materials science; Engineering; Petroleum engineering; Mechanical engineering; Geology; Mechanics; Composite material; Physics","score_opus":0.01791150018587596,"score_gpt":0.2117469555647928,"score_spread":0.19383545537891686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570714964","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":[0.84515214,0.0010795197,0.15147132,0.0006207949,0.00021371622,0.00025188352,0.00002118209,0.0007459422,0.0004434835],"genre_scores_gemma":[0.9967248,0.00097097806,0.002034728,0.000016942666,0.0000612476,0.000043454602,0.0001107267,0.000021651269,0.000015473846],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988692,0.000018166069,0.00029634227,0.00035214995,0.00012499091,0.00033918594],"domain_scores_gemma":[0.99916005,0.0001351193,0.00008147974,0.0005141366,0.000039503535,0.000069731104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005812574,0.00026794718,0.00028511405,0.00020970059,0.00028806677,0.00016386772,0.0002950477,0.0004417439,0.00002630292],"category_scores_gemma":[0.0002610107,0.00026824352,0.000036790152,0.00010393494,0.0002270378,0.00024399102,0.000096638025,0.0005646611,0.000020749985],"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":[0.00020794578,0.0007070499,0.002516455,0.0006032367,0.00037460207,0.0006705658,0.0015343874,0.36073223,0.16547683,0.05708095,0.0017262589,0.40836948],"study_design_scores_gemma":[0.0021405374,0.00029895792,0.104426295,0.001081993,0.00010098811,0.000062389874,0.00022246853,0.6571314,0.06891484,0.16060868,0.003634358,0.0013770879],"about_ca_topic_score_codex":0.00012836815,"about_ca_topic_score_gemma":0.00005627777,"teacher_disagreement_score":0.4069924,"about_ca_system_score_codex":0.000089400535,"about_ca_system_score_gemma":0.000018638457,"threshold_uncertainty_score":0.999977},"labels":[],"label_agreement":null},{"id":"W2571347807","doi":"10.2118/184865-ms","title":"Analyzing ISIP Stage-by-Stage Escalation to Determine Fracture Height and Horizontal-Stress Anisotropy","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Microseism; Hydraulic fracturing; Anisotropy; Fracture (geology); Geology; Stage (stratigraphy); Tiltmeter; Perforation; Stress (linguistics); Stress field; Geotechnical engineering; Mechanics; Structural engineering; Engineering; Seismology; Mechanical engineering; Physics","score_opus":0.010549657157770686,"score_gpt":0.23353471733519984,"score_spread":0.22298506017742917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571347807","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":[0.91270846,0.00081744505,0.080612525,0.0036194955,0.00013487504,0.00025461937,0.000047688252,0.00059811526,0.0012067863],"genre_scores_gemma":[0.9968095,0.0009901199,0.0014024101,0.00011743615,0.00012867636,0.00003249939,0.00007298771,0.000049238548,0.00039716615],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982568,0.000024865612,0.00036705055,0.0006169773,0.0002052082,0.0005291035],"domain_scores_gemma":[0.998666,0.00003906567,0.00017190496,0.0008280289,0.00006937574,0.00022565505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015650572,0.00042142416,0.0004874601,0.00047495545,0.00069766067,0.00042394525,0.00038885782,0.0005278399,0.00011563445],"category_scores_gemma":[0.00010055721,0.00040000473,0.000073052746,0.00015799596,0.00023398113,0.00059332064,0.00020515065,0.00062472996,0.000029351144],"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":[0.0003088144,0.00040050334,0.08676267,0.001942043,0.001472611,0.00077723776,0.00303357,0.10189666,0.30459026,0.0012874729,0.007615008,0.48991317],"study_design_scores_gemma":[0.0024233148,0.00054173335,0.04226948,0.0010678594,0.00033217724,0.000083952335,0.00082141324,0.10751715,0.77653027,0.0038987861,0.062000252,0.0025136413],"about_ca_topic_score_codex":0.00031800798,"about_ca_topic_score_gemma":0.0002961085,"teacher_disagreement_score":0.48739952,"about_ca_system_score_codex":0.00007767821,"about_ca_system_score_gemma":0.000016933769,"threshold_uncertainty_score":0.9998452},"labels":[],"label_agreement":null},{"id":"W2782554222","doi":"10.2118/189892-ms","title":"Visual Analysis on the Effects of Fracture-Surface Characteristics and Rock Type on Proppant Transport in Vertical Fractures","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":21,"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 Alberta","funders":"","keywords":"Fracture (geology); Geology; Surface roughness; Surface finish; Hydraulic fracturing; Geotechnical engineering; Fractal dimension; Fractal; Petroleum engineering; Materials science; Composite material","score_opus":0.0065179800810864314,"score_gpt":0.2288553364705277,"score_spread":0.22233735638944127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782554222","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":[0.9932566,0.00018016959,0.004077584,0.0016163805,0.000097962715,0.00022244654,0.000003201124,0.00017462802,0.00037098932],"genre_scores_gemma":[0.99898183,0.000491463,0.00005697712,0.00033174368,0.0000701325,0.000011724485,0.00001869378,0.000024397394,0.000013017132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986178,0.000046165183,0.0003627703,0.00039423534,0.00023036187,0.00034862506],"domain_scores_gemma":[0.99919474,0.00022183673,0.0000690499,0.00036848942,0.000069236194,0.00007666786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016255458,0.00030586202,0.0005279574,0.0005416737,0.00012382786,0.000030817213,0.00017408951,0.0004105646,0.00006572137],"category_scores_gemma":[0.0001628517,0.00021523528,0.000077417964,0.00069810747,0.00021874285,0.000083256135,0.00003610129,0.0006763294,0.000017023343],"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":[0.0041304114,0.0033734383,0.25127512,0.0047411253,0.0110737225,0.0011194117,0.01520769,0.39477557,0.20260628,0.0066226553,0.0017610582,0.10331352],"study_design_scores_gemma":[0.00096220325,0.001889682,0.2938287,0.0008654446,0.000809392,0.000015219356,0.00024718052,0.16596574,0.5305162,0.0025127986,0.0015640764,0.0008233248],"about_ca_topic_score_codex":0.00007862194,"about_ca_topic_score_gemma":0.000076714445,"teacher_disagreement_score":0.32790995,"about_ca_system_score_codex":0.000038859576,"about_ca_system_score_gemma":0.000020431737,"threshold_uncertainty_score":0.87770396},"labels":[],"label_agreement":null},{"id":"W2782952311","doi":"10.2118/189841-ms","title":"Proppant Transport by a High Viscosity Friction Reducer","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Guar; Rheology; Viscosity; Guar gum; Shear thinning; Materials science; Apparent viscosity; Reducer; Geotechnical engineering; Composite material; Petroleum engineering; Environmental science; Geology; Chemistry; Mechanical engineering; Engineering","score_opus":0.007823807925533775,"score_gpt":0.2131677553712398,"score_spread":0.20534394744570603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782952311","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":[0.8471827,0.00018433038,0.14652325,0.0032607291,0.0001679098,0.0001435327,0.000010072053,0.0005090234,0.002018448],"genre_scores_gemma":[0.99754155,0.0002707285,0.0013166188,0.0001335815,0.00011383767,0.000035752048,0.000043523152,0.000016279744,0.0005281186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989393,0.000011020787,0.00022791339,0.00040396472,0.00009574365,0.00032207862],"domain_scores_gemma":[0.9995587,0.00001613176,0.000069939095,0.00022441555,0.00008130212,0.00004952968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008829157,0.00020115792,0.00024303296,0.00015459851,0.0002545356,0.000011887418,0.00012124568,0.000406632,0.00011497843],"category_scores_gemma":[0.00003540933,0.00018900239,0.00003324003,0.00017052678,0.00046224587,0.00016014377,0.00006322367,0.00039467777,0.0000567042],"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":[0.0001374695,0.00017165029,0.004398439,0.00008233941,0.00015656427,0.000026501195,0.00075482886,0.000051261686,0.9155573,0.05821242,0.0013809265,0.019070277],"study_design_scores_gemma":[0.0014566561,0.0005948166,0.0103204725,0.00028454248,0.00014285407,0.0001305988,0.00034704953,0.06231377,0.8802077,0.0400036,0.003250433,0.00094747194],"about_ca_topic_score_codex":0.00013857496,"about_ca_topic_score_gemma":0.000045753906,"teacher_disagreement_score":0.15035887,"about_ca_system_score_codex":0.00004381045,"about_ca_system_score_gemma":0.000016221577,"threshold_uncertainty_score":0.77072936},"labels":[],"label_agreement":null},{"id":"W2783541462","doi":"10.2118/189845-ms","title":"Hydraulic Fracture Design in the Presence of Highly-Stressed Layers: A Case Study of Stress Interference in a Multi-Horizontal Well Pad","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Hydraulic fracturing; Stress (linguistics); Geology; Discretization; Fracture (geology); Microseism; Stress field; Geotechnical engineering; Finite element method; Focus (optics); Interference (communication); Coupling (piping); Structural engineering; Computer science; Engineering; Mechanical engineering; Seismology; Mathematics","score_opus":0.021298106692861134,"score_gpt":0.2522308200222077,"score_spread":0.23093271332934656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783541462","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":[0.97393966,0.0002881437,0.024224484,0.0005182522,0.00006882364,0.0006238655,0.0000068969343,0.00014037131,0.00018952817],"genre_scores_gemma":[0.9989798,0.00018869278,0.00062789913,0.000038988263,0.000039439346,0.000085142434,0.00000717067,0.00002613826,0.0000067334086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978851,0.00020634972,0.0007100944,0.00049684546,0.0002524002,0.00044922443],"domain_scores_gemma":[0.99871576,0.00023563835,0.00020355635,0.000680275,0.00010609962,0.000058665682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043531,0.00036483654,0.0005972822,0.000934719,0.00009108966,0.00004327818,0.0005515118,0.00041299802,0.000037753303],"category_scores_gemma":[0.00011840884,0.00028654028,0.00006328591,0.00087904185,0.00036420443,0.00027751454,0.00013095817,0.00084275816,0.0000060694633],"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":[0.0010027656,0.008655342,0.1213982,0.0023096795,0.0011228109,0.010932998,0.1522059,0.59384704,0.048177864,0.00018347782,0.00065374386,0.05951019],"study_design_scores_gemma":[0.0070279385,0.0035693375,0.018896157,0.0026709037,0.00027521336,0.0009347575,0.086823665,0.418926,0.45654872,0.002491683,0.00029128758,0.0015443646],"about_ca_topic_score_codex":0.004804207,"about_ca_topic_score_gemma":0.008627153,"teacher_disagreement_score":0.40837085,"about_ca_system_score_codex":0.00006570279,"about_ca_system_score_gemma":0.000037824513,"threshold_uncertainty_score":0.9999587},"labels":[],"label_agreement":null},{"id":"W2783583230","doi":"10.2118/189858-ms","title":"Demonstration of Proof of Concept of Electromagnetic Geophysical Methods for High Resolution Illumination of Induced Fracture Networks","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inversa Systems (Canada)","funders":"","keywords":"Azimuth; Microseism; Geology; Seismology; High resolution; Remote sensing; Optics","score_opus":0.015291091066519415,"score_gpt":0.26586299069484515,"score_spread":0.2505718996283257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783583230","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":[0.7240518,0.00014968766,0.27491096,0.0003726922,0.000047955327,0.00027518353,0.000008883413,0.000017723549,0.00016516325],"genre_scores_gemma":[0.96325415,0.000017068258,0.03657822,0.000020425428,0.00006240832,0.00000465531,0.00005413401,0.000003115825,0.0000058400005],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888724,0.00011559635,0.00042949422,0.00023941642,0.00012543508,0.00020281723],"domain_scores_gemma":[0.9987295,0.00028097926,0.00046767807,0.00016434342,0.00032399106,0.000033510165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028043572,0.0001293223,0.00039719348,0.00019663296,0.000046903166,0.0000042958477,0.00012438334,0.00031672153,0.00005102513],"category_scores_gemma":[0.00020485473,0.00011085074,0.000056121942,0.00042427966,0.0005500814,0.000121996956,0.000014278534,0.00018970553,3.2822754e-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":[0.00018785025,0.00009048391,0.00042931637,0.00010257485,0.000028883589,1.783585e-7,0.00014237492,0.0005348019,0.09187186,0.004102441,0.000010901889,0.90249836],"study_design_scores_gemma":[0.00031742276,0.0030015314,0.041159716,0.00007384341,0.000047900314,0.0000023365008,0.000044684894,0.041901536,0.82021177,0.093124524,0.000017912565,0.000096837655],"about_ca_topic_score_codex":0.00046703606,"about_ca_topic_score_gemma":0.00006639717,"teacher_disagreement_score":0.9024015,"about_ca_system_score_codex":0.0000036887136,"about_ca_system_score_gemma":0.000044243105,"threshold_uncertainty_score":0.45203623},"labels":[],"label_agreement":null},{"id":"W2783628432","doi":"10.2118/189863-ms","title":"Geometry and Failure Mechanisms from Microseismic in the Duvernay Shale to Explain Changes in Well Performance with Drilling Azimuth","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Azimuth; Geology; Microseism; Oil shale; Drilling; Seismology; Geodesy; Geometry; Engineering","score_opus":0.0061424807865308375,"score_gpt":0.19070342037644222,"score_spread":0.18456093958991138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783628432","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":[0.9807684,0.00021461784,0.014452197,0.0038546778,0.00005014238,0.00020998713,0.000004761036,0.0001747657,0.00027046553],"genre_scores_gemma":[0.99729055,0.0005124526,0.0016528487,0.00035407854,0.000082030674,0.000048209426,0.000016456017,0.000024704757,0.000018678003],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987757,0.000027311962,0.00021145373,0.00041736173,0.00015642529,0.00041169726],"domain_scores_gemma":[0.99948436,0.00005092686,0.000047162368,0.00033023607,0.000028567829,0.000058763417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022545044,0.00025747923,0.00029405355,0.0007023524,0.00013678307,0.00008356044,0.0002471963,0.00028223882,0.000045830482],"category_scores_gemma":[0.000018628658,0.00019458817,0.00001838526,0.00058007904,0.00016065617,0.00017520391,0.00008191563,0.00051768136,0.000029381945],"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":[0.0007878494,0.00058576075,0.11460751,0.0016271715,0.0007488547,0.0010860241,0.0678705,0.159856,0.2805788,0.0015890459,0.0015866093,0.3690759],"study_design_scores_gemma":[0.0027026895,0.0010021792,0.05604486,0.00248187,0.00011904763,0.00019828198,0.011207207,0.15297635,0.75338954,0.009218844,0.008896725,0.0017624218],"about_ca_topic_score_codex":0.00042787613,"about_ca_topic_score_gemma":0.004664221,"teacher_disagreement_score":0.47281075,"about_ca_system_score_codex":0.00005371045,"about_ca_system_score_gemma":0.000012039583,"threshold_uncertainty_score":0.7935075},"labels":[],"label_agreement":null},{"id":"W2783707649","doi":"10.2118/189869-ms","title":"Stimulation Design and Treatment in the Sycamore Formation of the South Central Oklahoma Oil Province Area of the Anadarko Basin","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil shale; Geology; Structural basin; Petroleum; Petroleum engineering; Fossil fuel; Stack (abstract data type); Oil sands; Mining engineering; Unconventional oil; Paleontology; Engineering; Geography; Archaeology; Asphalt; Computer science","score_opus":0.013461103074191717,"score_gpt":0.20357152777686838,"score_spread":0.19011042470267667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783707649","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":[0.9863135,0.0001256255,0.010945571,0.0019021062,0.000054608496,0.000241573,0.0000050703566,0.00005039931,0.00036155226],"genre_scores_gemma":[0.99953663,0.00011435575,0.00023719134,0.00003451094,0.000026625043,0.000017169026,0.0000041287517,0.000008196923,0.00002117586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915886,0.00007182517,0.00026123953,0.00015496655,0.00015446657,0.00019865468],"domain_scores_gemma":[0.9994134,0.000053809046,0.0001222826,0.00034949972,0.000041749496,0.000019317302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016116847,0.00014991708,0.00018945785,0.00014031466,0.00014385617,0.000023301109,0.00019780366,0.0001569364,0.0000076062133],"category_scores_gemma":[0.00004401584,0.000079871264,0.000047829053,0.00028366444,0.00033122723,0.00012764038,0.00004641978,0.00018369251,6.6210134e-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":[0.0002897416,0.00042334417,0.060114276,0.00096150016,0.00035608606,0.000020583684,0.031740773,0.4731398,0.032376822,0.0013213496,0.0006022268,0.3986535],"study_design_scores_gemma":[0.0011851337,0.0002749389,0.14539997,0.0006539548,0.00016706619,0.000043690892,0.0019534205,0.46543935,0.37979108,0.0038696595,0.00090276083,0.0003189786],"about_ca_topic_score_codex":0.00022655899,"about_ca_topic_score_gemma":0.00082805,"teacher_disagreement_score":0.3983345,"about_ca_system_score_codex":0.00006173353,"about_ca_system_score_gemma":0.000041629515,"threshold_uncertainty_score":0.3257056},"labels":[],"label_agreement":null},{"id":"W2783735078","doi":"10.2118/189840-ms","title":"Reinterpretation of Flow Patterns During DFITs Based on Dynamic Fracture Geometry, Leakoff and Afterflow","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Seven Generations Energy; University of Calgary","keywords":"Comminution; Fracture (geology); Mechanics; Geology; Geotechnical engineering; Flow (mathematics); Materials science; Physics","score_opus":0.004484068529526772,"score_gpt":0.20693894695253287,"score_spread":0.2024548784230061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783735078","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":[0.93111336,0.00023627398,0.06613659,0.0011879911,0.00011914572,0.00015614775,0.000015567124,0.00042997705,0.0006049464],"genre_scores_gemma":[0.99839914,0.00033409998,0.0009017358,0.00015474117,0.00007743804,0.000021168136,0.000040116192,0.0000399986,0.000031560583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858606,0.000028857314,0.00035396105,0.00045276317,0.00021344665,0.00036492725],"domain_scores_gemma":[0.999213,0.000053426407,0.00010954108,0.00044123275,0.000090399946,0.00009242767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012387309,0.0003232321,0.00039026808,0.0008889424,0.00015572894,0.000055824148,0.00017268109,0.00043397598,0.00013287908],"category_scores_gemma":[0.000062132225,0.00030355746,0.000069451875,0.0003126396,0.00026104387,0.00019662075,0.00006347269,0.0004908725,0.000018899253],"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":[0.00063370133,0.0003778218,0.024532527,0.0033561753,0.00081530353,0.00020108712,0.0033049835,0.58656085,0.08114732,0.00012823389,0.00039798164,0.29854402],"study_design_scores_gemma":[0.0008712114,0.00034896535,0.03175027,0.0009437015,0.00008886853,0.00003461038,0.00016988257,0.78083426,0.1826861,0.0012698466,0.0004941201,0.00050814066],"about_ca_topic_score_codex":0.000057889476,"about_ca_topic_score_gemma":0.000104858074,"teacher_disagreement_score":0.2980359,"about_ca_system_score_codex":0.00006275191,"about_ca_system_score_gemma":0.00001610565,"threshold_uncertainty_score":0.99994165},"labels":[],"label_agreement":null},{"id":"W2783958736","doi":"10.2118/189835-ms","title":"Delineating Stacked Pay with Existing and Emerging Diagnostic Tools","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drilling; Geology; Petroleum engineering; Completion (oil and gas wells); Fracture (geology); Offset (computer science); TRACER; Mining engineering; Computer science; Geotechnical engineering; Engineering; Mechanical engineering","score_opus":0.015121869854689517,"score_gpt":0.2367592786267483,"score_spread":0.22163740877205879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783958736","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":[0.9389144,0.00044143296,0.055293802,0.001558633,0.0000881627,0.00016426225,0.000004240037,0.0009422894,0.0025927331],"genre_scores_gemma":[0.9953637,0.0005942353,0.0036004751,0.000093563685,0.00020242926,0.000031495634,0.000021379921,0.00004073966,0.00005197843],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860674,0.00002221192,0.00031143267,0.00042878906,0.0001647274,0.00046607247],"domain_scores_gemma":[0.99918646,0.00020392708,0.00008283698,0.00030848998,0.00010943114,0.00010883743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017314621,0.0003020786,0.00033034818,0.00037034063,0.00035067237,0.00015109646,0.00013916077,0.00025298778,0.000060543054],"category_scores_gemma":[0.00034083755,0.00023095495,0.000030421501,0.00033803555,0.00037489954,0.00033647692,0.000096501404,0.000489361,0.000022701213],"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":[0.00007096894,0.00007742269,0.014104454,0.0006321037,0.00049277203,0.0002531851,0.0028611042,0.024112865,0.014850533,0.0011941494,0.0004655483,0.9408849],"study_design_scores_gemma":[0.003928009,0.0013339639,0.021956727,0.0038942357,0.0006571392,0.0008349816,0.005336438,0.61384207,0.29593766,0.019345906,0.029262945,0.0036699485],"about_ca_topic_score_codex":0.00007689263,"about_ca_topic_score_gemma":0.00016972165,"teacher_disagreement_score":0.937215,"about_ca_system_score_codex":0.000039066796,"about_ca_system_score_gemma":0.000018074701,"threshold_uncertainty_score":0.9418069},"labels":[],"label_agreement":null},{"id":"W2911373104","doi":"10.2118/194371-ms","title":"New Near-Wellbore Insights from Fiber Optics and Downhole Pressure Gauge Data","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Perforation; Wellbore; Petroleum engineering; Production (economics); Completion (oil and gas wells); Gauge (firearms); Lead (geology); Geology; Computer science; Engineering; Mechanical engineering; Materials science","score_opus":0.009978585528666269,"score_gpt":0.21082497351898125,"score_spread":0.20084638799031498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911373104","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":[0.9792689,0.0043840157,0.005845645,0.002572733,0.00021282761,0.00027693863,0.000064618376,0.0008664908,0.0065078335],"genre_scores_gemma":[0.9938521,0.0011026717,0.003817719,0.00010768141,0.00013155164,0.0000057875404,0.00032384577,0.000037826925,0.00062085805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998551,0.000019555164,0.00027827313,0.00062382367,0.000186226,0.00034108342],"domain_scores_gemma":[0.9986499,0.000052226114,0.00006809372,0.0010385874,0.00004196002,0.00014925191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000632466,0.0003137125,0.0003967823,0.00021753967,0.00013499704,0.0001747583,0.00042564212,0.00052105566,0.0004969678],"category_scores_gemma":[0.000031839074,0.00028526553,0.000029372575,0.0002317145,0.00013952855,0.00046812434,0.00035651622,0.0006164149,0.0002211767],"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":[0.0002571364,0.00034261632,0.010262171,0.002043716,0.003985131,0.0004253482,0.00536062,0.24484974,0.06008487,0.004423018,0.049787194,0.6181784],"study_design_scores_gemma":[0.002229831,0.00020989361,0.0077992682,0.0007644734,0.000585357,0.00007294333,0.0004346504,0.54841906,0.048388645,0.034158014,0.3552883,0.0016495481],"about_ca_topic_score_codex":0.00041128843,"about_ca_topic_score_gemma":0.00011552359,"teacher_disagreement_score":0.61652887,"about_ca_system_score_codex":0.000019114545,"about_ca_system_score_gemma":0.00004214805,"threshold_uncertainty_score":0.99995995},"labels":[],"label_agreement":null},{"id":"W2911851987","doi":"10.2118/194316-ms","title":"Close Encounters in the 3rd Dimension: Using Diagnostic Fracture Injection Tests DFITs from the Alberta Duvernay Shale Formation to Quantify Simultaneous Horizontal- &amp; Vertical-Plane Hydraulic Fracture Growth","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bed; Geology; Hydraulic fracturing; Fracture (geology); Overburden; Microseism; Directional drilling; Geotechnical engineering; Oil shale; Comminution; Petroleum engineering; Mechanics; Engineering; Seismology; Anisotropy; Drilling; Materials science; Mechanical engineering","score_opus":0.009470147492131596,"score_gpt":0.2245569923376113,"score_spread":0.2150868448454797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911851987","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":[0.9784841,0.00054424134,0.0104460595,0.00875099,0.00031994455,0.0007530615,0.0000147807,0.00030400735,0.00038279645],"genre_scores_gemma":[0.9966142,0.00037193432,0.00022640865,0.002268258,0.00020499452,0.000053188687,0.00018454652,0.00005324227,0.000023223525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751604,0.00012665437,0.00057794614,0.0006518435,0.00047377142,0.000653721],"domain_scores_gemma":[0.99728173,0.0015309344,0.00012645328,0.00084112416,0.00009744029,0.00012229625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029279102,0.0005314011,0.0005180325,0.00042208552,0.00032357313,0.0002245518,0.00056511664,0.00070568075,0.00012774758],"category_scores_gemma":[0.0007124311,0.00036715696,0.000116065516,0.00078069716,0.00013565415,0.00054190686,0.00013011937,0.0013701112,0.00026462573],"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":[0.00022844,0.0002809144,0.025065023,0.00031446095,0.00034119526,0.00025465296,0.012247802,0.9266009,0.021253688,0.00017805216,0.003300987,0.009933913],"study_design_scores_gemma":[0.005443932,0.0014754023,0.10449592,0.004877005,0.0011920114,0.0014808704,0.0089582335,0.6673798,0.108038366,0.019908927,0.071646444,0.0051030815],"about_ca_topic_score_codex":0.0057653454,"about_ca_topic_score_gemma":0.0055299583,"teacher_disagreement_score":0.25922105,"about_ca_system_score_codex":0.0002169552,"about_ca_system_score_gemma":0.00003563342,"threshold_uncertainty_score":0.99987805},"labels":[],"label_agreement":null},{"id":"W2911898253","doi":"10.2118/194322-ms","title":"Dynamic Fracture Volume Estimation using Flowback Data Analysis and its Correlation to Completion-Design Parameters","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":8,"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 Alberta","funders":"","keywords":"Fracture (geology); Volume (thermodynamics); Choke; Petroleum engineering; Hydraulic fracturing; Completion (oil and gas wells); Geology; Materials science; Mechanics; Geotechnical engineering; Engineering","score_opus":0.019646345400646106,"score_gpt":0.24732323040966103,"score_spread":0.22767688500901492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911898253","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":[0.46818927,0.00019859939,0.5298292,0.0010719248,0.00007565047,0.0002612758,0.000016630327,0.0003012968,0.000056133715],"genre_scores_gemma":[0.97152835,0.00019003425,0.027581505,0.00016703412,0.000017661205,0.00001317232,0.00042073897,0.000032952066,0.00004856429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998269,0.000050545485,0.0003816348,0.0006841979,0.00024031919,0.00037429505],"domain_scores_gemma":[0.998834,0.00007726537,0.000111629204,0.0007516976,0.00009644246,0.00012896488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028716977,0.0003261162,0.0005245824,0.0011190269,0.00017824935,0.00013829727,0.00030744125,0.0004182868,0.00013263928],"category_scores_gemma":[0.0001029408,0.000328957,0.000059051206,0.00093308865,0.00006750401,0.0005561513,0.00017612267,0.0004686552,0.000120958044],"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":[0.000012991329,0.000013477779,0.0010942504,0.00006588549,0.00027475765,0.0000049009504,0.00014668259,0.99027234,0.0023421228,0.000016978016,0.0000882556,0.0056673405],"study_design_scores_gemma":[0.00025435013,0.00005290139,0.0059691053,0.00010994312,0.00042645802,0.00002000756,0.00010381563,0.98893946,0.0023695636,0.0010537138,0.00032726946,0.00037341408],"about_ca_topic_score_codex":0.00012801707,"about_ca_topic_score_gemma":0.000072760726,"teacher_disagreement_score":0.50333905,"about_ca_system_score_codex":0.00010285228,"about_ca_system_score_gemma":0.000023810731,"threshold_uncertainty_score":0.99991626},"labels":[],"label_agreement":null},{"id":"W2912106496","doi":"10.2118/194332-ms","title":"Investigation of Non-Ideal Diagnostic Fracture Injection Tests Behavior in Unconventional Reservoirs","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"Colorado School of Mines","keywords":"Petroleum engineering; Fracture (geology); Hydraulic fracturing; Permeability (electromagnetism); Closure (psychology); Geotechnical engineering; Leak; Geology; Flow (mathematics); Transient (computer programming); Residual; Reservoir simulation; Mechanics; Computer science; Environmental science","score_opus":0.009263802049614344,"score_gpt":0.22319661740245658,"score_spread":0.21393281535284223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912106496","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":[0.9954999,0.00028208765,0.0020334779,0.00077738514,0.0001753382,0.00035050343,0.0000056654744,0.00024834214,0.0006272896],"genre_scores_gemma":[0.9989668,0.00028136963,0.00041082248,0.00005586364,0.00005171696,0.000075924974,0.00008213289,0.000028173989,0.00004716612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857,0.0000321579,0.00046660917,0.00037215743,0.00023502282,0.000323999],"domain_scores_gemma":[0.99923027,0.00013821098,0.00012852582,0.00034522553,0.00008321508,0.00007458228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020360154,0.00025395193,0.000381235,0.00091133075,0.00006063601,0.000032800755,0.00018030075,0.0005022475,0.00014883914],"category_scores_gemma":[0.00010542545,0.00025530098,0.0000746146,0.00061285374,0.00015881108,0.00033547246,0.00006389974,0.00064803206,0.00004808816],"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":[0.000050475574,0.00010729828,0.5843543,0.00071598083,0.00012790486,0.00006497351,0.00084309495,0.350766,0.0495135,0.00022101849,0.00046128174,0.012774162],"study_design_scores_gemma":[0.0016280034,0.0003962568,0.77106297,0.0010395361,0.000121084464,0.000081166836,0.0005999623,0.065748416,0.1457417,0.012100239,0.00070063566,0.00078002096],"about_ca_topic_score_codex":0.00035353523,"about_ca_topic_score_gemma":0.00031433665,"teacher_disagreement_score":0.2850176,"about_ca_system_score_codex":0.00009734283,"about_ca_system_score_gemma":0.00004429504,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W2912285134","doi":"10.2118/194364-ms","title":"Empirical Links Between Sub-Surface Drivers and Engineering Levers for Hydraulic Fracture Treatments and the Implications for Well Performance","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Hydraulic fracturing; Geology; Social connectedness; Computer science; Petroleum engineering; Engineering","score_opus":0.012160834620107992,"score_gpt":0.23134401419430362,"score_spread":0.2191831795741956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912285134","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":[0.9620473,0.0006061016,0.02527686,0.010545862,0.00007465675,0.0008837504,0.000024654017,0.00035386067,0.00018695266],"genre_scores_gemma":[0.9965837,0.0015143066,0.0012659082,0.0002493157,0.00008017913,0.00012602427,0.000071909526,0.00004229136,0.000066370405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987061,0.000015000991,0.00029103894,0.00046316002,0.000094702,0.0004300227],"domain_scores_gemma":[0.9990825,0.0003140868,0.00008446522,0.00035637396,0.00005831623,0.00010427208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019076494,0.0003341933,0.00046526894,0.00021445256,0.0002804593,0.00008945689,0.00017881983,0.0005925921,0.000007861976],"category_scores_gemma":[0.000041003805,0.0002617753,0.00009190925,0.00017880849,0.00021988018,0.00023624078,0.00007022354,0.0005410941,0.000008242592],"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":[0.00056021597,0.00018802714,0.28809205,0.0035868909,0.0036547582,0.000007727796,0.0046113087,0.5396485,0.021853587,0.0016981296,0.0044996478,0.13159917],"study_design_scores_gemma":[0.012329393,0.00071018806,0.23241504,0.0006383998,0.0013588928,0.00009182388,0.00069571275,0.5693263,0.083253935,0.011866291,0.08527073,0.0020432991],"about_ca_topic_score_codex":0.000025788255,"about_ca_topic_score_gemma":0.0000066740577,"teacher_disagreement_score":0.12955587,"about_ca_system_score_codex":0.000060844028,"about_ca_system_score_gemma":0.000020099005,"threshold_uncertainty_score":0.99998343},"labels":[],"label_agreement":null},{"id":"W2912390776","doi":"10.2118/194329-ms","title":"Utilization of Far Field Diverters to Mitigate Parent and Infill Well Fracture Interaction in Shale Formations","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Infill; Oil shale; Hydraulic fracturing; Geology; Fracture (geology); Petroleum engineering; Geotechnical engineering; Materials science; Structural engineering; Engineering","score_opus":0.011560899819353999,"score_gpt":0.23202032554108912,"score_spread":0.22045942572173513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912390776","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":[0.9786432,0.00018605773,0.017104495,0.00188501,0.000103121376,0.00024409241,0.0000044489375,0.00016221996,0.0016673761],"genre_scores_gemma":[0.99886686,0.00057677977,0.00022148415,0.00022619983,0.000015783773,0.000020402083,0.000032466796,0.000013249418,0.000026797521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991138,0.000015961745,0.0003062219,0.00023719869,0.00010961024,0.00021720839],"domain_scores_gemma":[0.99955666,0.00004580108,0.000069873684,0.00022337363,0.000043575365,0.00006072892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080124,0.00017482157,0.00026534396,0.00063568866,0.00004924737,0.00003351092,0.00009629887,0.0002610636,0.00012124849],"category_scores_gemma":[0.000034162105,0.00016851643,0.000035466255,0.00028614985,0.00004220086,0.00032445704,0.00006788769,0.00032799263,0.0000301854],"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":[0.00016045455,0.00021085558,0.11333434,0.0014966252,0.00031003656,0.000028624867,0.008363418,0.57275,0.028215222,0.00086844864,0.0015422008,0.2727198],"study_design_scores_gemma":[0.0019807692,0.0005806747,0.079184204,0.00176453,0.0001286239,0.00006302596,0.0047210073,0.4992276,0.38073838,0.007843395,0.02255109,0.00121668],"about_ca_topic_score_codex":0.00019490851,"about_ca_topic_score_gemma":0.00022376559,"teacher_disagreement_score":0.35252315,"about_ca_system_score_codex":0.00004245147,"about_ca_system_score_gemma":0.000009301156,"threshold_uncertainty_score":0.6871901},"labels":[],"label_agreement":null},{"id":"W2913363763","doi":"10.2118/194330-ms","title":"Determining the Most Effective Diversion Strategy Using Pressure Based Fracture Maps : A Meramec STACK Case Study","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Chaparral Energy","keywords":"Fracture (geology); Pressure drop; Drilling; Drop (telecommunication); Well stimulation; Stage (stratigraphy); Geology; Petroleum engineering; Geotechnical engineering; Environmental science; Materials science; Reservoir engineering; Engineering; Petroleum; Mechanics","score_opus":0.009311788103512627,"score_gpt":0.21756153319203386,"score_spread":0.20824974508852123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913363763","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":[0.9835116,0.0002015258,0.014365283,0.00009918557,0.00018927996,0.0007614761,0.000008610259,0.0005982329,0.00026478726],"genre_scores_gemma":[0.99950796,0.000019785984,0.00027165213,0.00005666333,0.00005125347,0.000028106466,0.000013537454,0.00003913089,0.000011905416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888754,0.00003825583,0.00020820806,0.0003651458,0.00015298408,0.0003478563],"domain_scores_gemma":[0.9993375,0.00009582866,0.00006574126,0.00038010778,0.000064870896,0.000055981567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015461503,0.00030394533,0.00028000862,0.0002476554,0.00022384277,0.00010877857,0.00015973634,0.00029984428,0.00003939237],"category_scores_gemma":[0.000022850461,0.00025071364,0.00004045674,0.0002477343,0.000068072615,0.000245179,0.000074701784,0.0006900813,0.000015154146],"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":[0.000018331808,0.00007122501,0.010377732,0.00019617977,0.00013329847,0.00034628503,0.00089103164,0.9536356,0.0033040158,0.000038211154,0.000053378066,0.030934721],"study_design_scores_gemma":[0.0015165064,0.00039176544,0.0025578646,0.00031157912,0.0001841454,0.00028200433,0.003114511,0.9728276,0.016523628,0.000467594,0.0012350737,0.0005877271],"about_ca_topic_score_codex":0.0001468502,"about_ca_topic_score_gemma":0.000033230157,"teacher_disagreement_score":0.030346993,"about_ca_system_score_codex":0.000051918527,"about_ca_system_score_gemma":0.000021561109,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W2913991294","doi":"10.2118/194334-ms","title":"Integrating DAS, Treatment Pressure Analysis and Video-Based Perforation Imaging to Evaluate Limited Entry Treatment Effectiveness","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Perforation; Hydraulic fracturing; Petroleum engineering; Fracture (geology); Computer science; Geology; Geotechnical engineering; Engineering; Mechanical engineering","score_opus":0.007454367563415679,"score_gpt":0.24303597398422397,"score_spread":0.23558160642080828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913991294","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":[0.95954734,0.000648323,0.036975045,0.0009735929,0.00008408025,0.0005484453,0.000012031053,0.0005453142,0.00066582544],"genre_scores_gemma":[0.9981788,0.0004167892,0.0009583911,0.00005230719,0.000043579174,0.00014462498,0.00011548398,0.000031539108,0.000058477464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984361,0.00008466985,0.00030418686,0.0006142137,0.00017396024,0.0003868726],"domain_scores_gemma":[0.99913114,0.00011736544,0.00007970657,0.00046321395,0.00008271692,0.00012582653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019956834,0.00040969448,0.0005828574,0.0011767383,0.00017682124,0.00014332832,0.00011060243,0.0002371466,0.00008017794],"category_scores_gemma":[0.000039019444,0.00033608373,0.00012587852,0.0007377957,0.0000713923,0.00022228241,0.000044540506,0.0002220508,0.000031146214],"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":[0.00013503076,0.00015111009,0.08551658,0.00028844632,0.0019224392,0.00003058899,0.0009077844,0.6791976,0.030884845,0.00008183743,0.00001836559,0.20086534],"study_design_scores_gemma":[0.0014271548,0.00044395233,0.024014242,0.00028514015,0.001374325,0.000011975504,0.00029850818,0.79808676,0.17146417,0.00035038442,0.0017347402,0.0005086688],"about_ca_topic_score_codex":0.0004893352,"about_ca_topic_score_gemma":0.0002880388,"teacher_disagreement_score":0.20035668,"about_ca_system_score_codex":0.00022278288,"about_ca_system_score_gemma":0.000036677357,"threshold_uncertainty_score":0.9999091},"labels":[],"label_agreement":null},{"id":"W2914246283","doi":"10.2118/194363-ms","title":"The Role of Microemulsion and Shut-in on Well Performance: From Field Scale to Laboratory Scale","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"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; Petroleum engineering; Oil field; Water cut; Microemulsion; Oil production; Fracture (geology); Core (optical fiber); Produced water; Environmental science; Recovery rate; Geology; Materials science; Chemistry; Geotechnical engineering; Chromatography; Chemical engineering; Pulmonary surfactant; Engineering; Composite material; Agronomy","score_opus":0.0024679328192805596,"score_gpt":0.18258619892958694,"score_spread":0.18011826611030637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914246283","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":[0.99508107,0.0006494216,0.00015186556,0.00119992,0.00008433174,0.00015666249,0.00000509839,0.000117184994,0.0025544385],"genre_scores_gemma":[0.99845487,0.0011458482,0.00019094897,0.00010067889,0.000031169122,0.000014280586,0.0000064377878,0.000014925938,0.00004083376],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991273,0.000017029563,0.00022604209,0.00026623608,0.00011657089,0.00024680007],"domain_scores_gemma":[0.99945426,0.00008586393,0.00004284235,0.00033166193,0.00003093777,0.000054427357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011614826,0.00016287534,0.0002393861,0.0002678828,0.00008532373,0.000033090902,0.00015848526,0.00024862657,0.000045559485],"category_scores_gemma":[0.000016397178,0.00012898407,0.000027180657,0.00022505928,0.00007490563,0.00010111352,0.00007597567,0.00037678969,0.000060569182],"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":[0.00029661012,0.00013881247,0.15294673,0.0003067239,0.00013776855,0.000012057083,0.0021409758,0.04306564,0.39831963,0.00018204415,0.0005799882,0.40187302],"study_design_scores_gemma":[0.00042714996,0.00020720389,0.023349931,0.00041725396,0.000018909555,0.0000026832506,0.0007834454,0.028554216,0.9348394,0.0019476425,0.00918651,0.0002656284],"about_ca_topic_score_codex":0.0001542302,"about_ca_topic_score_gemma":0.00022518655,"teacher_disagreement_score":0.5365198,"about_ca_system_score_codex":0.000028569755,"about_ca_system_score_gemma":0.000010934412,"threshold_uncertainty_score":0.5259818},"labels":[],"label_agreement":null},{"id":"W2914383192","doi":"10.2118/194341-ms","title":"Preventing Heel Dominated Fractures in Horizontal Well Refracturing","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Wellbore; Geomechanics; Geology; Petroleum engineering; Fracture (geology); Heel; Geotechnical engineering","score_opus":0.004865156491060046,"score_gpt":0.2128288561542235,"score_spread":0.20796369966316347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914383192","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":[0.9819961,0.0008391127,0.0016438359,0.0008687805,0.0002604849,0.00033964048,0.0000031610289,0.00085313263,0.013195754],"genre_scores_gemma":[0.9982547,0.00060722337,0.0006148259,0.00009023786,0.0000953466,0.00003823641,0.000038039405,0.000058261518,0.00020311531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978704,0.000041899635,0.00053099776,0.00061591115,0.00024657845,0.00069425564],"domain_scores_gemma":[0.9991255,0.000072557996,0.00011998828,0.0005262488,0.00004583649,0.00010988652],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027300353,0.00043341363,0.000566878,0.0009929274,0.00012194293,0.00010888269,0.0003183077,0.0006318464,0.00044005245],"category_scores_gemma":[0.00004807986,0.00042026312,0.00010674996,0.0005184092,0.00011750275,0.0004656117,0.00014513839,0.0011474947,0.00023255586],"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":[0.00034502143,0.00062190444,0.06845873,0.002508299,0.0009728373,0.00091968424,0.0036604663,0.38645896,0.20939049,0.0013586879,0.0016658884,0.32363904],"study_design_scores_gemma":[0.00491367,0.00043053657,0.056723524,0.0024705885,0.00019063542,0.00030193347,0.002293464,0.19515455,0.6843517,0.020123446,0.030027099,0.0030188821],"about_ca_topic_score_codex":0.00016653269,"about_ca_topic_score_gemma":0.00020798043,"teacher_disagreement_score":0.4749612,"about_ca_system_score_codex":0.00014017314,"about_ca_system_score_gemma":0.000027559232,"threshold_uncertainty_score":0.99982494},"labels":[],"label_agreement":null},{"id":"W2921085261","doi":"10.2118/189853-ms","title":"Frac Hit Induced Production Losses: Evaluating Root Causes, Damage Location, Possible Prevention Methods and Success of Remediation Treatments, Part II","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Spark plug; Fracture (geology); Petroleum engineering; Production (economics); Stage (stratigraphy); Geology; Permian; Interference (communication); Shut down; Environmental science; Geotechnical engineering; Structural basin; Engineering; Paleontology; Mechanical engineering; Electrical engineering; Process engineering","score_opus":0.02791211627864117,"score_gpt":0.32090267823079277,"score_spread":0.2929905619521516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921085261","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":[0.97660327,0.00051772495,0.020537391,0.000896861,0.0002498265,0.00033556248,0.0000028084526,0.00035514476,0.0005014006],"genre_scores_gemma":[0.9937789,0.00045596188,0.005191015,0.000014068882,0.00021866914,0.00006285716,0.00006738694,0.000027468286,0.00018369913],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983872,0.000107285225,0.0005027599,0.0004832732,0.00022059915,0.00029884998],"domain_scores_gemma":[0.99890196,0.00004598018,0.00024154648,0.00042871365,0.0003101751,0.00007159797],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005977407,0.00026716493,0.00036532237,0.00056061044,0.0003514853,0.000054105003,0.0001347542,0.00038051055,0.00007201455],"category_scores_gemma":[0.00032974227,0.00025810866,0.000042395368,0.0006093895,0.0002437191,0.000514654,0.00009343316,0.0003112695,0.000008212537],"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":[0.00014657063,0.0005264778,0.021834277,0.0013780356,0.0011308107,0.000012169501,0.005237326,0.024355816,0.31472468,0.0007519723,0.0007092565,0.6291926],"study_design_scores_gemma":[0.0007754126,0.0007119974,0.027380258,0.000694616,0.0003583832,0.000024165227,0.0005048144,0.04766292,0.9088956,0.011959673,0.00055047794,0.00048168277],"about_ca_topic_score_codex":0.00015160351,"about_ca_topic_score_gemma":0.00029263733,"teacher_disagreement_score":0.6287109,"about_ca_system_score_codex":0.0000908124,"about_ca_system_score_gemma":0.000052122457,"threshold_uncertainty_score":0.9999871},"labels":[],"label_agreement":null},{"id":"W3000838533","doi":"10.2118/199687-ms","title":"A Cost-Effective Evaluation of Pods Diversion Effectiveness using Fiber Optics DAS and DTS","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Software deployment; Casing; Computer science; Blocking (statistics); Product (mathematics); Environmental science; Engineering; Petroleum engineering; Operating system; Mathematics","score_opus":0.03761185605758412,"score_gpt":0.2888408938059569,"score_spread":0.2512290377483728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000838533","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":[0.97559845,0.0006004453,0.021771722,0.000425741,0.000055098906,0.0006860782,0.00000687989,0.00024134488,0.0006142537],"genre_scores_gemma":[0.99874383,0.00024611448,0.00084177876,0.000030341995,0.00004669904,0.000049710452,0.00001792293,0.000021311766,0.0000022980867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884784,0.000096237294,0.000225377,0.00034098013,0.00025674928,0.00023279236],"domain_scores_gemma":[0.99938756,0.0000865879,0.00008610105,0.00018818364,0.00015565305,0.00009589386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034741627,0.00022477076,0.00036406118,0.00027234352,0.000120141754,0.000033477307,0.00010587567,0.00031112172,0.00005279768],"category_scores_gemma":[0.00013816252,0.00021775177,0.000051896513,0.00031480993,0.00018783563,0.00022526203,0.000116575546,0.0003395263,0.0000088147035],"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":[0.00012907133,0.000075860335,0.0026038745,0.0011132101,0.0004757948,0.000029645935,0.0018890216,0.58231246,0.07355,0.00017122577,0.000043466225,0.33760637],"study_design_scores_gemma":[0.0011502698,0.00015742534,0.0056955484,0.00038019338,0.00038973437,0.000022572192,0.00036499338,0.7827685,0.20603774,0.0024270343,0.00026785166,0.00033815767],"about_ca_topic_score_codex":0.00004719508,"about_ca_topic_score_gemma":0.0000051742763,"teacher_disagreement_score":0.33726823,"about_ca_system_score_codex":0.000080923375,"about_ca_system_score_gemma":0.00002641425,"threshold_uncertainty_score":0.887966},"labels":[],"label_agreement":null},{"id":"W3001425744","doi":"10.2118/199703-ms","title":"Investigating Near-Wellbore Diversion Methods for Refracturing Horizontal Wells","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Wellbore; Petroleum engineering; Hydraulic fracturing; Perforation; Geology; Geotechnical engineering; Electrical conduit; Engineering","score_opus":0.019774701151985905,"score_gpt":0.26474582186824264,"score_spread":0.24497112071625674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001425744","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":[0.65847796,0.001100602,0.3247999,0.011239644,0.00033094542,0.0004932188,0.000015852265,0.0018873906,0.0016544969],"genre_scores_gemma":[0.9518562,0.00038317687,0.046898544,0.00047341964,0.00020049006,0.000044263314,0.000060149592,0.000055005985,0.000028750366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982752,0.00004538184,0.00040588423,0.00057624857,0.00015925177,0.0005380115],"domain_scores_gemma":[0.99912316,0.00012327112,0.00011466361,0.00031257456,0.000075154545,0.00025118276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024408485,0.00037983563,0.00048236176,0.00023603838,0.00046042146,0.00015360872,0.00030897965,0.00049385166,0.00007059789],"category_scores_gemma":[0.00022591498,0.00037032872,0.00013568635,0.00038012164,0.00025449722,0.00035183437,0.00017191039,0.0007010013,0.00003778137],"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":[0.00010048105,0.00009153282,0.0019425573,0.0017757464,0.00071170536,0.00006455419,0.006430618,0.119321056,0.18752186,0.00089966337,0.005746828,0.6753934],"study_design_scores_gemma":[0.0010449495,0.0002927729,0.00044779596,0.00030559325,0.00018092955,0.000030881536,0.0010367888,0.50860083,0.41916513,0.008090989,0.05994105,0.0008622784],"about_ca_topic_score_codex":0.00005138685,"about_ca_topic_score_gemma":0.0000083281675,"teacher_disagreement_score":0.6745311,"about_ca_system_score_codex":0.00007255458,"about_ca_system_score_gemma":0.000033719036,"threshold_uncertainty_score":0.9998749},"labels":[],"label_agreement":null},{"id":"W3002335191","doi":"10.2118/199692-ms","title":"Comprehensive Simulation of Hydraulic Fracturing Through Mechanical Stratigraphy with Explicit Width Calculation and Leakoff: Foundations of Completion Modeling","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"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 Calgary","funders":"","keywords":"Reservoir simulation; Hydraulic fracturing; Computation; Geology; Fluid dynamics; Permeability (electromagnetism); Fracture (geology); Finite element method; Computer science; Geotechnical engineering; Mechanics; Petroleum engineering; Algorithm; Engineering; Structural engineering","score_opus":0.032600852690285856,"score_gpt":0.2501947952947437,"score_spread":0.21759394260445786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002335191","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":[0.5670522,0.00023527973,0.431304,0.0007227743,0.000018767938,0.00019121099,0.0000069554308,0.00021316377,0.00025565844],"genre_scores_gemma":[0.99475837,0.00038580396,0.0045901705,0.000087715045,0.000050673305,0.000017842307,0.00007523214,0.000032925404,0.0000012599436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983821,0.000039509032,0.00058668153,0.000432783,0.00028286024,0.0002760644],"domain_scores_gemma":[0.99912727,0.00009704607,0.00021354166,0.00027948356,0.00018753044,0.00009511598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000079240395,0.00031530118,0.00057179324,0.00032686576,0.00015499258,0.000041382216,0.0001387338,0.0003257217,0.000024859748],"category_scores_gemma":[0.000042197888,0.0002965419,0.000080725404,0.00047347456,0.00019163144,0.000469517,0.000066630186,0.00043638877,0.0000023713694],"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":[0.00004886905,0.000028735614,0.00036704668,0.00032861336,0.00013431019,0.000003782977,0.000683515,0.97631747,0.017350191,0.0008640327,0.000004959483,0.0038684611],"study_design_scores_gemma":[0.00063977495,0.00020830719,0.0010448776,0.0002611922,0.0001240147,0.000010668436,0.0004647978,0.94253486,0.04758856,0.006644615,0.00017934169,0.00029897917],"about_ca_topic_score_codex":0.00017539371,"about_ca_topic_score_gemma":0.00005341468,"teacher_disagreement_score":0.42770618,"about_ca_system_score_codex":0.000027400465,"about_ca_system_score_gemma":0.000024415633,"threshold_uncertainty_score":0.9999487},"labels":[],"label_agreement":null},{"id":"W3002655988","doi":"10.2118/199704-ms","title":"Enhancement of Production and Economics Through Design Optimization in the STACK","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Offset (computer science); Overburden; Drill; Hydraulic fracturing; Well stimulation; Stack (abstract data type); Perforation; Computer science; Petroleum engineering; Geology; Environmental science; Petroleum; Mining engineering; Engineering; Mechanical engineering; Reservoir engineering","score_opus":0.022279652075138694,"score_gpt":0.21790128640942888,"score_spread":0.1956216343342902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002655988","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":[0.62600374,0.00053718546,0.3616914,0.010757158,0.00004967698,0.0002767366,0.0000015356179,0.00013449237,0.0005480811],"genre_scores_gemma":[0.99060404,0.0038070648,0.0053632897,0.00013926406,0.000040188712,0.000023289438,0.00000857703,0.000010607594,0.0000036466859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992746,0.00003044825,0.00024221883,0.00023117816,0.00006705518,0.00015450583],"domain_scores_gemma":[0.9996961,0.000027155398,0.000062597515,0.00016576843,0.000024483246,0.00002389756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435495,0.00013354397,0.00019718264,0.00011884604,0.000056106386,0.000028173528,0.00010973374,0.00014258675,0.000019532443],"category_scores_gemma":[0.00005812084,0.00011029293,0.000020025756,0.00021319355,0.00011556884,0.00020859228,0.00003318239,0.00022911481,0.000002475206],"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":[0.000018585428,0.000023238636,0.00016760798,0.000119957025,0.00003509453,0.0000032138144,0.0021173647,0.98787236,0.0022420406,0.00023268475,0.000119022996,0.0070488304],"study_design_scores_gemma":[0.0004808412,0.0002281407,0.0003800214,0.00018978698,0.00006826001,0.000021784193,0.0017754014,0.72060966,0.26749957,0.0072245956,0.0011670638,0.00035489278],"about_ca_topic_score_codex":0.000024711362,"about_ca_topic_score_gemma":0.000018345672,"teacher_disagreement_score":0.36460033,"about_ca_system_score_codex":0.000021581667,"about_ca_system_score_gemma":0.0000121826415,"threshold_uncertainty_score":0.4497615},"labels":[],"label_agreement":null},{"id":"W3002669646","doi":"10.2118/199728-ms","title":"Developing Methodology for DFIT Design and Pressure Interpretation by Coupled Reservoir Geomechanics Flow Simulation","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Geomechanics; Closure (psychology); Geology; Flow (mathematics); Fracture (geology); Geotechnical engineering; Petroleum engineering; Hydraulic fracturing; Reservoir simulation; Mechanics","score_opus":0.04476095489007445,"score_gpt":0.2727015297450983,"score_spread":0.22794057485502386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002669646","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":[0.047744136,0.001099501,0.94349355,0.0064704656,0.00007677746,0.00044444992,0.000011575739,0.00063437683,0.000025148624],"genre_scores_gemma":[0.93710107,0.0005874758,0.061737925,0.0002970313,0.00006268348,0.00008185919,0.00008009927,0.000038254042,0.000013588048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986369,0.00007291916,0.00035197005,0.00046838776,0.00012432341,0.00034548348],"domain_scores_gemma":[0.9991721,0.00032622155,0.0000980787,0.00019415698,0.000104642415,0.00010478441],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032552562,0.0002789316,0.0004135465,0.00023678427,0.00018379262,0.00008052205,0.00016657425,0.00048655694,0.000023348253],"category_scores_gemma":[0.00035925853,0.00028037108,0.0000501811,0.0002461951,0.00007957923,0.00027055896,0.00008247281,0.00037360203,0.0000055818896],"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":[0.000089219575,0.000007452838,0.000015379535,0.00029108435,0.00014908139,0.0000032365144,0.0006322157,0.9662222,0.007422902,0.00027721323,0.00027174066,0.02461823],"study_design_scores_gemma":[0.00048890733,0.0001314414,0.00002295713,0.00009013797,0.00010796872,0.0000067274823,0.00014538421,0.951959,0.027564669,0.015744,0.0034388117,0.00029998593],"about_ca_topic_score_codex":0.00001646391,"about_ca_topic_score_gemma":0.000008872986,"teacher_disagreement_score":0.889357,"about_ca_system_score_codex":0.000040330284,"about_ca_system_score_gemma":0.000027119699,"threshold_uncertainty_score":0.99996483},"labels":[],"label_agreement":null},{"id":"W3002697080","doi":"10.2118/199744-ms","title":"Perforating Trends, Technology and Evaluation in North America","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"Casing; Wellbore; Perforation; Petroleum engineering; Completion (oil and gas wells); Geology; Cluster (spacecraft); Pressure drop; Computer science; Engineering; Mechanical engineering; Mechanics; Physics","score_opus":0.014361256512505466,"score_gpt":0.22903782444185322,"score_spread":0.21467656792934775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002697080","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":[0.98162097,0.0011824619,0.0037829357,0.010771902,0.000040354887,0.000147429,0.000004085834,0.00067418575,0.001775673],"genre_scores_gemma":[0.9980746,0.0007024338,0.0008684348,0.00016738678,0.000058341135,0.00005243537,0.00004326486,0.000024061503,0.000009034777],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998692,0.000028698752,0.00031844643,0.00043697597,0.00017531839,0.00034858435],"domain_scores_gemma":[0.999539,0.000023656496,0.000068990776,0.00022050845,0.000054096243,0.00009371126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011461784,0.00024820786,0.00034883825,0.001108926,0.00011883825,0.00005332311,0.00015088417,0.00032535673,0.000088413246],"category_scores_gemma":[0.00009803253,0.00024759574,0.000032091488,0.0014483077,0.00020743835,0.00022354706,0.00009564402,0.0006292997,0.00002013213],"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":[0.000020127483,0.000033701737,0.017131401,0.00016203118,0.000084913874,0.000049232654,0.0015908908,0.098841436,0.00396916,0.00016869072,0.00018437787,0.87776405],"study_design_scores_gemma":[0.001111639,0.00020736222,0.011738584,0.00014397527,0.00010079941,0.00004062969,0.001672514,0.96330804,0.011634872,0.0034332501,0.0059649884,0.00064333],"about_ca_topic_score_codex":0.000035883564,"about_ca_topic_score_gemma":0.00023003876,"teacher_disagreement_score":0.87712073,"about_ca_system_score_codex":0.000053358133,"about_ca_system_score_gemma":0.000022145838,"threshold_uncertainty_score":0.9999976},"labels":[],"label_agreement":null},{"id":"W3002797077","doi":"10.2118/199759-ms","title":"Distributed Acoustic and Temperature Sensing Applications for Hydraulic Fracture Diagnostics","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Microseism; Hydraulic fracturing; Optical fiber; Offset (computer science); Geology; Distributed acoustic sensing; Fracture (geology); Petroleum engineering; Acoustics; Fiber optic sensor; Geotechnical engineering; Computer science; Seismology; Telecommunications","score_opus":0.012006999751451464,"score_gpt":0.21202019716630824,"score_spread":0.20001319741485676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002797077","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":[0.6897159,0.002693802,0.21076411,0.09431416,0.00008798214,0.0009868676,0.00062280556,0.0005141525,0.0003001763],"genre_scores_gemma":[0.99169064,0.0011288603,0.0018617145,0.004292502,0.00019236398,0.0000062738864,0.00081229967,0.0000072496287,0.00000808243],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989097,0.00001684421,0.00021237008,0.00046459792,0.00010444448,0.0002920455],"domain_scores_gemma":[0.9993506,0.000158656,0.00010777219,0.0001664992,0.00006753451,0.0001489124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006551046,0.00020924748,0.00027335042,0.000117420204,0.00034300803,0.00012412941,0.00011434192,0.00030669,0.00007317326],"category_scores_gemma":[0.00013629657,0.00018470487,0.000045547527,0.000296655,0.00019245026,0.00015573399,0.000026804133,0.00033602375,0.000015949974],"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":[0.0003997856,0.0001791204,0.08213223,0.001472798,0.0007429821,0.000242298,0.0019922114,0.045752957,0.01757282,0.003475069,0.020551628,0.8254861],"study_design_scores_gemma":[0.0026066576,0.00096471066,0.085324846,0.0003828859,0.0008874802,0.00023909297,0.0042021857,0.5096776,0.01246342,0.12303101,0.25809705,0.0021230686],"about_ca_topic_score_codex":0.00014809327,"about_ca_topic_score_gemma":0.00008059387,"teacher_disagreement_score":0.82336307,"about_ca_system_score_codex":0.0000049198584,"about_ca_system_score_gemma":0.00002935459,"threshold_uncertainty_score":0.75320464},"labels":[],"label_agreement":null},{"id":"W3157106000","doi":"10.2118/204144-ms","title":"Silica Gel Fracturing Fluids an Alternative to Guar Systems that Allows the use of West Texas Produced Water","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Fumed silica; Guar; Guar gum; Rheology; Silica gel; Materials science; Fracturing fluid; Hydraulic fracturing; Produced water; Chemical engineering; Precipitated silica; Petroleum engineering; Environmental science; Composite material; Geology; Chemistry; Engineering","score_opus":0.030369674639935913,"score_gpt":0.23289283147577391,"score_spread":0.202523156835838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157106000","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":[0.9815183,0.0004517701,0.012779752,0.0036920337,0.0002964487,0.0003724172,0.000014594735,0.00050161633,0.0003730402],"genre_scores_gemma":[0.99811673,0.00045213584,0.00069349434,0.0001985787,0.00017889916,0.00006177342,0.00007023361,0.000054414388,0.00017372867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978527,0.00009624769,0.00048000974,0.0006496797,0.0003407116,0.00058064546],"domain_scores_gemma":[0.9984624,0.00008654448,0.00009059423,0.0010078476,0.00020161047,0.00015102261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024813367,0.0003990716,0.00054194854,0.0004337889,0.0002226429,0.00022496606,0.00040737473,0.00038075246,0.00010294911],"category_scores_gemma":[0.000108732005,0.00027827732,0.00010576789,0.00033595547,0.00019727365,0.0005252585,0.00023329836,0.00065433024,0.00006045576],"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":[0.00005205834,0.00017101894,0.002148539,0.0003983922,0.00056712306,0.00019342056,0.0030030645,0.69603604,0.28108862,0.0002915958,0.00059036363,0.015459784],"study_design_scores_gemma":[0.00031572496,0.0001025811,0.0016446791,0.00030692096,0.00010443014,0.00009425639,0.00060314895,0.04444088,0.9354893,0.0006499787,0.015782058,0.00046606452],"about_ca_topic_score_codex":0.00048790776,"about_ca_topic_score_gemma":0.00020211535,"teacher_disagreement_score":0.65440065,"about_ca_system_score_codex":0.000080368896,"about_ca_system_score_gemma":0.00003607699,"threshold_uncertainty_score":0.9999669},"labels":[],"label_agreement":null},{"id":"W3159833411","doi":"10.2118/204205-ms","title":"Hydraulic Fracturing Diagnostics Utilizing Near and Far-Field Distributed Acoustic Sensing DAS Data Correspondences","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Fracture (geology); Offset (computer science); Hydraulic fracturing; Casing; Geology; Near and far field; Computer science; Petroleum engineering; Geotechnical engineering; Optics; Physics","score_opus":0.025829179479859077,"score_gpt":0.2570188653158867,"score_spread":0.23118968583602761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159833411","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":[0.9411701,0.003782168,0.04076858,0.011548733,0.0003843194,0.0002064938,0.00012558968,0.00070743245,0.0013065705],"genre_scores_gemma":[0.9883171,0.0038511243,0.0047374293,0.0023870042,0.0000820582,0.0000010466048,0.0005878865,0.000009770454,0.000026608486],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806124,0.00007778375,0.00033474003,0.0007957455,0.00024491732,0.00048554945],"domain_scores_gemma":[0.9984685,0.0004835877,0.00016392923,0.00065104885,0.00009819468,0.00013472934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030187808,0.00029016047,0.00034172818,0.00022023884,0.0005844025,0.00034610037,0.00033561728,0.00035825782,0.00027175745],"category_scores_gemma":[0.000929885,0.0002818991,0.000031517502,0.0003460641,0.0004235055,0.0006306168,0.00026572868,0.0006732219,0.0000336735],"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":[0.000075553566,0.000043917316,0.04794054,0.00014777285,0.000069235655,0.00074004126,0.0004468375,0.0004263055,0.0021116692,0.00018050379,0.0056587667,0.9421589],"study_design_scores_gemma":[0.0011334826,0.00047213899,0.045297306,0.0014513538,0.00027958676,0.0018095858,0.005579859,0.6900951,0.13327104,0.035046667,0.08393536,0.0016284868],"about_ca_topic_score_codex":0.0016182255,"about_ca_topic_score_gemma":0.0003602417,"teacher_disagreement_score":0.94053036,"about_ca_system_score_codex":0.000011754832,"about_ca_system_score_gemma":0.00012391448,"threshold_uncertainty_score":0.99996334},"labels":[],"label_agreement":null},{"id":"W3160008218","doi":"10.2118/204154-ms","title":"Practical Applications of Water Hammer Analysis from Hydraulic Fracturing Treatments","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water hammer; Hammer; Hydraulic fracturing; Petroleum engineering; Geotechnical engineering; Fracture (geology); Environmental science; Mechanics; Engineering; Materials science; Mechanical engineering","score_opus":0.012860504658222631,"score_gpt":0.24662337343447216,"score_spread":0.23376286877624952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160008218","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":[0.7691187,0.0009859877,0.22110112,0.0039323545,0.000099767174,0.00024836307,0.000041358435,0.000669984,0.0038023225],"genre_scores_gemma":[0.9920483,0.0011150078,0.005882099,0.00012040637,0.00010922914,0.000106480904,0.00043705176,0.000043112657,0.00013827845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997797,0.00005737056,0.0006082112,0.00068430835,0.00031139093,0.00054172997],"domain_scores_gemma":[0.99858683,0.00011143303,0.00012672132,0.00085613725,0.00015813521,0.0001607695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013304925,0.0004042194,0.0007552896,0.00084174663,0.0002007989,0.00009075626,0.00021904235,0.0005600857,0.00068917015],"category_scores_gemma":[0.000048621663,0.000345663,0.00025681648,0.00091659103,0.00022503485,0.00032458804,0.00016441256,0.00061773096,0.000098331686],"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":[0.00024901616,0.0028562306,0.04649084,0.0013700275,0.03924292,0.0016673749,0.0063144723,0.31147492,0.3251444,0.0026510071,0.0027310203,0.25980777],"study_design_scores_gemma":[0.00087191135,0.000057999445,0.0061922506,0.00012409175,0.0025018484,0.000055343327,0.000624914,0.030299695,0.9349318,0.0137478905,0.009852477,0.00073975435],"about_ca_topic_score_codex":0.0003452082,"about_ca_topic_score_gemma":0.00020428062,"teacher_disagreement_score":0.6097874,"about_ca_system_score_codex":0.00008989797,"about_ca_system_score_gemma":0.000045771547,"threshold_uncertainty_score":0.99989957},"labels":[],"label_agreement":null},{"id":"W3161140818","doi":"10.2118/204208-ms","title":"Proppant Placement in the Barnett Shale When Perforations are Selected in Like-Rock","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"Perforation; Drilling; Borehole; Geology; Oil shale; Petroleum engineering; Drilling fluid; Geotechnical engineering; Materials science; Engineering; Mechanical engineering; Composite material","score_opus":0.010576555142592477,"score_gpt":0.19687497353192746,"score_spread":0.18629841838933497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161140818","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":[0.97771174,0.00087329245,0.016731512,0.002338636,0.0001183151,0.00022969456,0.0000032548048,0.0004047719,0.00158879],"genre_scores_gemma":[0.99886227,0.0003764388,0.00048501673,0.00007924817,0.000032957516,0.00006948012,0.00003281982,0.000015524818,0.000046266858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991505,0.000020717811,0.00021019657,0.00022655557,0.000096847965,0.00029516732],"domain_scores_gemma":[0.99966866,0.000027779482,0.000026411413,0.000211242,0.000040314662,0.000025595024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011792408,0.00015182921,0.00016721968,0.00025216828,0.00006149465,0.000054046162,0.00010970203,0.00018529294,0.000045932826],"category_scores_gemma":[0.00004303749,0.00013820828,0.000016599377,0.0004079974,0.000024954437,0.00012268944,0.00003451795,0.00048921036,0.000014701044],"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":[0.000027224212,0.00028703743,0.02137877,0.0005996433,0.00008459934,0.0005542907,0.0073228097,0.9045036,0.03645335,0.0031397755,0.002235879,0.023413058],"study_design_scores_gemma":[0.0013768412,0.000108398825,0.024432229,0.0010479514,0.00003279018,0.00021147485,0.0040204553,0.8766481,0.07406349,0.009295331,0.007990741,0.0007721831],"about_ca_topic_score_codex":0.000020582653,"about_ca_topic_score_gemma":0.00040766245,"teacher_disagreement_score":0.037610136,"about_ca_system_score_codex":0.000063308515,"about_ca_system_score_gemma":0.000031623596,"threshold_uncertainty_score":0.563597},"labels":[],"label_agreement":null},{"id":"W3161944616","doi":"10.2118/204200-ms","title":"Application of DFIT-FBA Tests Performed at Multiple Points in a Horizontal Well for Advanced Treatment Stage Design and Reservoir Characterization","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chevron (Canada); University of Calgary","funders":"","keywords":"Wellhead; Hydraulic fracturing; Petroleum engineering; Choke; Well stimulation; Perforation; Reservoir engineering; Tortuosity; Completion (oil and gas wells); Geology; Geotechnical engineering; Engineering; Petroleum; Mechanical engineering","score_opus":0.012046135926903371,"score_gpt":0.22882333466591295,"score_spread":0.21677719873900958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161944616","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":[0.8890007,0.00023889638,0.10955115,0.00045894843,0.000034803812,0.00046555017,0.000027718053,0.00015855819,0.00006367268],"genre_scores_gemma":[0.9929738,0.0017743272,0.0046431227,0.000013282561,0.000023732313,0.00021371155,0.00026438138,0.000026822603,0.00006679662],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988519,0.0000359729,0.00033941714,0.00039541218,0.000098990444,0.0002782898],"domain_scores_gemma":[0.9993178,0.00012333844,0.00012433635,0.00029964038,0.00007549436,0.000059380156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014218176,0.00022490924,0.00035684617,0.0003193543,0.00011902977,0.000024015348,0.00008142259,0.00027659742,0.000015527336],"category_scores_gemma":[0.0001007967,0.00021878508,0.000048473063,0.0002582687,0.000090628106,0.00019673105,0.000057147874,0.00017418696,0.000004090379],"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":[0.0003296073,0.00024755544,0.04496767,0.0005977263,0.00018007659,0.000030303883,0.001020862,0.08002605,0.7390136,0.00012096223,0.000014224101,0.13345136],"study_design_scores_gemma":[0.0016678215,0.00023168515,0.019850643,0.000133474,0.00004680407,0.000015708792,0.00020028398,0.29747614,0.6778468,0.00084158964,0.0014308927,0.00025815875],"about_ca_topic_score_codex":0.00006741524,"about_ca_topic_score_gemma":0.00054612284,"teacher_disagreement_score":0.2174501,"about_ca_system_score_codex":0.00015762969,"about_ca_system_score_gemma":0.000030904033,"threshold_uncertainty_score":0.89217967},"labels":[],"label_agreement":null},{"id":"W3162121293","doi":"10.2118/204156-ms","title":"A Novel Coupled Approach to Investigate the Spatiotemporal Evolution of Fracturing-Induced Seismicity: Case Study","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"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 Calgary","funders":"","keywords":"Poromechanics; Geomechanics; Induced seismicity; Geology; Hydraulic fracturing; Seismology; Pore water pressure; Fault (geology); Slip (aerodynamics); Geotechnical engineering; Petrology; Geophysics; Porous medium; Engineering","score_opus":0.029405873024858205,"score_gpt":0.23531923744373212,"score_spread":0.20591336441887392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162121293","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":[0.9683736,0.00011379545,0.025658887,0.004320334,0.000095903284,0.00040818646,0.000011227017,0.00021982245,0.00079821725],"genre_scores_gemma":[0.99503374,0.000016685777,0.003742311,0.0010952065,0.000041383224,0.000009518845,0.00003088463,0.00000631502,0.000023947508],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865055,0.0000699575,0.00031961908,0.0004635856,0.00022084707,0.000275461],"domain_scores_gemma":[0.9991217,0.00005867395,0.00016823296,0.0004166295,0.0001467787,0.000087966946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003571598,0.00020024236,0.00027424976,0.00029850786,0.00030441929,0.00006738129,0.00020044,0.00018801678,0.00005196342],"category_scores_gemma":[0.00012975158,0.0001584583,0.0000417328,0.000495801,0.00020984572,0.00022160185,0.0000771779,0.00042040434,0.000013014286],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003863127,0.0025074186,0.34226763,0.00055415044,0.0006390858,0.0027910843,0.022788418,0.009995046,0.0842662,0.004074648,0.0032111313,0.5265189],"study_design_scores_gemma":[0.0029489214,0.001752048,0.092988536,0.000458945,0.00028568634,0.0091339005,0.05623753,0.4593715,0.34050724,0.03165105,0.0031134067,0.0015512349],"about_ca_topic_score_codex":0.025040375,"about_ca_topic_score_gemma":0.00052153313,"teacher_disagreement_score":0.5249677,"about_ca_system_score_codex":0.00001986381,"about_ca_system_score_gemma":0.0001314852,"threshold_uncertainty_score":0.981452},"labels":[],"label_agreement":null},{"id":"W3162548042","doi":"10.2118/204172-ms","title":"High Fidelity Fibre-Optic Observations and Resultant Fracture Modeling in Support of Planarity","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Offset (computer science); Calibration; Planarity testing; Planar; Fracture mechanics; Fracture (geology); Computer science; Algorithm; Optical fiber; Geology; Simulation; Engineering; Optics; Geotechnical engineering; Mathematics; Physics; Structural engineering; Computer graphics (images); Statistics","score_opus":0.020016703333661526,"score_gpt":0.22397617243586762,"score_spread":0.20395946910220608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162548042","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":[0.9751584,0.0006509875,0.018435517,0.0049805352,0.00006261068,0.00009989437,0.000033255794,0.00023476749,0.00034404872],"genre_scores_gemma":[0.99572396,0.0012295931,0.0026824924,0.00016396861,0.00003358175,0.000014251471,0.000112715265,0.000018844647,0.000020610332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985716,0.00003078532,0.0004953363,0.00039136084,0.00019621121,0.00031472914],"domain_scores_gemma":[0.99925506,0.00006162166,0.000075805794,0.00037898935,0.0001530719,0.000075428645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022918703,0.00022941618,0.00044408685,0.00035631115,0.000095963056,0.000042309657,0.00012369022,0.00043513678,0.000061024453],"category_scores_gemma":[0.00018028147,0.00023082268,0.00004856821,0.00042136633,0.00012565225,0.00024326821,0.00009390561,0.0006083865,0.0000026618568],"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":[0.000043765987,0.00013676807,0.0038080616,0.0006874629,0.000191328,0.00030403945,0.0009805878,0.96480626,0.017540317,0.0014976509,0.00059954426,0.009404239],"study_design_scores_gemma":[0.001489356,0.000118296826,0.014535039,0.0005764003,0.00015061635,0.00017583279,0.000868392,0.8097981,0.11740572,0.05120167,0.0028406403,0.00083990995],"about_ca_topic_score_codex":0.00045439234,"about_ca_topic_score_gemma":0.0005309947,"teacher_disagreement_score":0.1550081,"about_ca_system_score_codex":0.00006145077,"about_ca_system_score_gemma":0.00007177741,"threshold_uncertainty_score":0.94126755},"labels":[],"label_agreement":null},{"id":"W3163032978","doi":"10.2118/204157-ms","title":"2000-2020: Two Decades of Evolution of Hydraulic Fracturing-Induced Seismicity in the Western Canada Sedimentary Basin","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Induced seismicity; Geology; Hydraulic fracturing; Magnitude (astronomy); Structural basin; Maximum magnitude; Seismology; Volume (thermodynamics); Longitude; Sedimentary rock; Permeability (electromagnetism); Latitude; Hydrology (agriculture); Geotechnical engineering; Geomorphology; Geodesy; Geochemistry","score_opus":0.012508809643486258,"score_gpt":0.21829268033755192,"score_spread":0.20578387069406567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163032978","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":[0.9898911,0.00159201,0.00016336143,0.006633222,0.00011162594,0.00016486029,0.000030995343,0.00003298456,0.0013797999],"genre_scores_gemma":[0.99857813,0.0002746671,0.00017467668,0.0008593683,0.00004391063,0.0000033890522,0.00004619411,0.0000039935294,0.000015651427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985295,0.00012678491,0.0003914458,0.0003510935,0.000282029,0.000319134],"domain_scores_gemma":[0.99917895,0.00020122786,0.00020236723,0.00030125128,0.00007634963,0.00003986535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029252018,0.00019246353,0.000353752,0.00017585189,0.0001495405,0.000019353552,0.00022106976,0.00015983892,0.00019422336],"category_scores_gemma":[0.00008283263,0.00015613037,0.000044520133,0.00044156756,0.00019745027,0.00016998203,0.000047869256,0.0004657567,0.0000053885205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065877924,0.000097033044,0.92663014,0.00013829759,0.000097881435,0.00021181325,0.0012349378,0.0011163964,0.0022319437,0.00027057895,0.0004057865,0.067499295],"study_design_scores_gemma":[0.00070011825,0.00015194548,0.8939144,0.00021911177,0.000042194108,0.00011809487,0.002202187,0.0007942436,0.09371885,0.0061040143,0.00180002,0.00023482028],"about_ca_topic_score_codex":0.50480086,"about_ca_topic_score_gemma":0.57188094,"teacher_disagreement_score":0.09148691,"about_ca_system_score_codex":0.000033703524,"about_ca_system_score_gemma":0.00041514626,"threshold_uncertainty_score":0.63668114},"labels":[],"label_agreement":null},{"id":"W3163111723","doi":"10.2118/204194-ms","title":"Reservoir Quality Versus Completion Intensity: An Application of Supervised Fuzzy Clustering on Western Canadian Well Data","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Completion (oil and gas wells); Petroleum engineering; Productivity; Intensity (physics); Quality (philosophy); Environmental science; Cluster analysis; Fuzzy logic; Reservoir modeling; Hydrology (agriculture); Computer science; Data mining; Statistics; Geology; Artificial intelligence; Mathematics; Geotechnical engineering","score_opus":0.07103672034240446,"score_gpt":0.31551120089190854,"score_spread":0.24447448054950408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163111723","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":[0.89807445,0.00008454654,0.09867551,0.001031963,0.00019994429,0.00013623833,0.000032561966,0.00035614037,0.0014086245],"genre_scores_gemma":[0.99213135,0.0001242451,0.0070140846,0.000058591624,0.000060365255,0.000010536929,0.000565918,0.000024481305,0.000010396109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988105,0.000055133085,0.00032205286,0.00040122026,0.00015192032,0.00025915404],"domain_scores_gemma":[0.9986316,0.00006868841,0.000055025204,0.0009818199,0.00014430021,0.000118581265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136092,0.0001809917,0.00029810634,0.00032232344,0.00009263752,0.00004740532,0.000281335,0.00028077987,0.000022428538],"category_scores_gemma":[0.000105235646,0.00020888275,0.000024169352,0.000264035,0.00007282944,0.00028284494,0.00011700693,0.00034895114,0.000014013816],"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":[0.0002647548,0.00010338203,0.007272672,0.00062093267,0.00014318866,0.00004501612,0.0006058169,0.8689649,0.046819422,0.003834585,0.00016389338,0.071161404],"study_design_scores_gemma":[0.001197793,0.00012185253,0.014415647,0.00016566673,0.000028543565,0.000017698645,0.00042086703,0.941405,0.03402399,0.002604431,0.0051904684,0.00040802005],"about_ca_topic_score_codex":0.003404502,"about_ca_topic_score_gemma":0.01712453,"teacher_disagreement_score":0.09405691,"about_ca_system_score_codex":0.00008435963,"about_ca_system_score_gemma":0.000045457433,"threshold_uncertainty_score":0.95558894},"labels":[],"label_agreement":null},{"id":"W3164031946","doi":"10.2118/204191-ms","title":"Pressure Depletion Mapping Using Multi-Well DFITs and its Applications in Hydraulic Fracture Characterization and Permeability Estimation: Examples from Montney Formation","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Permeability (electromagnetism); Petroleum engineering; Fracture (geology); Drilling; Hydraulic conductivity; Geotechnical engineering; Hydraulic fracturing; Transient analysis; Reservoir modeling; Pressure measurement; Pore water pressure; Petrology; Soil science; Engineering","score_opus":0.018620486639387195,"score_gpt":0.22743111796345805,"score_spread":0.20881063132407085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164031946","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":[0.7257315,0.0018484606,0.2705466,0.0012011,0.000034171306,0.00030171388,0.0000251288,0.00027686937,0.000034499175],"genre_scores_gemma":[0.99381447,0.0018855477,0.0033085153,0.00011859052,0.00005846084,0.000073981726,0.0006930555,0.000029588702,0.00001776548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984381,0.000063994754,0.00046153963,0.0005588664,0.00016179327,0.00031570497],"domain_scores_gemma":[0.9992596,0.00007804217,0.00013756329,0.00031672162,0.000108790824,0.000099274046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014890911,0.00031938436,0.00039750244,0.0004125804,0.00026084148,0.00014901269,0.0001024794,0.0005120673,0.000038938477],"category_scores_gemma":[0.0000918935,0.00033397714,0.00003946078,0.00040190908,0.00010027832,0.00079007325,0.00010267879,0.0004920179,0.000006089679],"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":[0.000062279105,0.0004575238,0.057016592,0.0032370405,0.0005126319,0.00008933042,0.009834261,0.4201749,0.3940353,0.0005288268,0.00004137873,0.11400993],"study_design_scores_gemma":[0.00055645185,0.000013702964,0.08494304,0.00031703364,0.0000917215,0.000044072214,0.00052529166,0.8644854,0.044887755,0.0016925966,0.0020557165,0.00038722658],"about_ca_topic_score_codex":0.00017692361,"about_ca_topic_score_gemma":0.0002198368,"teacher_disagreement_score":0.4443105,"about_ca_system_score_codex":0.00007336018,"about_ca_system_score_gemma":0.00002782438,"threshold_uncertainty_score":0.99991125},"labels":[],"label_agreement":null},{"id":"W3165261212","doi":"10.2118/204139-ms","title":"An Operators Investigation of Performance Drivers Using Diagnostics and Data Analytics","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"Smoothing; Analytics; Computer science; Data mining; Data analysis; TRACER; Data science","score_opus":0.04274778207505128,"score_gpt":0.28147728996915566,"score_spread":0.23872950789410438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165261212","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":[0.8993117,0.0003160783,0.09996369,0.00009526208,0.00006050524,0.000045629917,0.000008607323,0.00014719756,0.00005131214],"genre_scores_gemma":[0.9606271,0.0017563632,0.03749265,0.000013603674,0.000024524878,0.0000013604405,0.000069836446,0.000012833393,0.0000017611627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993684,0.000019976194,0.00018381688,0.0002168597,0.00008115862,0.00012977376],"domain_scores_gemma":[0.99939984,0.000042048086,0.000034659217,0.00039512137,0.00007406298,0.000054271877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013400897,0.00011382712,0.0001649512,0.00017900279,0.00006073387,0.00003631262,0.000117990654,0.00016786432,0.000008485122],"category_scores_gemma":[0.00008866761,0.00012574319,0.000008119903,0.00022881298,0.00011312495,0.00037987568,0.00007856011,0.0001860183,5.5542205e-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":[0.0000037886007,0.000012946693,0.04769488,0.00027690976,0.000045798814,0.000014828364,0.00033207893,0.8656859,0.06593266,0.00090459647,0.000018327868,0.01907733],"study_design_scores_gemma":[0.00017843534,0.000025675896,0.005918652,0.00010537511,0.000025437203,0.000016906148,0.00013696909,0.87057453,0.12191233,0.0008457057,0.00013253215,0.00012746929],"about_ca_topic_score_codex":0.000006806927,"about_ca_topic_score_gemma":0.000006272296,"teacher_disagreement_score":0.062471036,"about_ca_system_score_codex":0.000017616372,"about_ca_system_score_gemma":0.000029437264,"threshold_uncertainty_score":0.5127659},"labels":[],"label_agreement":null},{"id":"W4206907785","doi":"10.2118/209174-ms","title":"A Rigorous Coupled Flow-Geomechanics Semianalytical Approach for Analyzing Early Flowback Data from Multifractured Horizontal Wells with Complex Fracture Geometry","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"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 Calgary","funders":"","keywords":"Geomechanics; Hydraulic fracturing; Fracture (geology); Flow (mathematics); Petroleum engineering; Geology; Fluid dynamics; Reservoir simulation; Reservoir modeling; Geotechnical engineering; Mechanics; Computer science","score_opus":0.019632854292960963,"score_gpt":0.2290664454694497,"score_spread":0.20943359117648874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206907785","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":[0.3291901,0.0006497142,0.6665455,0.0011931531,0.00013519368,0.00063046685,0.00049738487,0.0009451622,0.0002132944],"genre_scores_gemma":[0.971756,0.00014721729,0.023019694,0.0002817191,0.00023101649,0.00015983294,0.004256402,0.000108622866,0.00003950223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996776,0.000063649226,0.0005790217,0.0012261125,0.0005212805,0.0008339731],"domain_scores_gemma":[0.9978876,0.00017594607,0.00019454074,0.0014164835,0.00010496377,0.00022048324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037584378,0.00062855775,0.00088841724,0.00077986787,0.00072708837,0.00019900395,0.001038466,0.00054635666,0.00047805585],"category_scores_gemma":[0.000070264054,0.0005785221,0.00014604651,0.0008081401,0.00017321786,0.0004203382,0.0005571167,0.0016209782,0.000019431904],"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":[0.00038637052,0.00032338517,0.00082656747,0.00023438327,0.0014872928,0.00013522824,0.0006059319,0.9749252,0.0058303745,0.000061706196,0.0041381707,0.011045369],"study_design_scores_gemma":[0.0016013193,0.00025743153,0.000511989,0.00005704382,0.00041355245,0.00006837376,0.00065796514,0.98070943,0.002506931,0.0015252414,0.010906989,0.00078374805],"about_ca_topic_score_codex":0.0004862786,"about_ca_topic_score_gemma":0.00016545845,"teacher_disagreement_score":0.64352584,"about_ca_system_score_codex":0.00021788952,"about_ca_system_score_gemma":0.000070573304,"threshold_uncertainty_score":0.99966663},"labels":[],"label_agreement":null},{"id":"W4206945544","doi":"10.2118/209158-ms","title":"Optimizing Longitudinal Fracture Design for Horizontal Well Completions in Laminated Sandstone Reservoirs","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Geology; Fracture (geology); Geotechnical engineering; Drilling; Petroleum engineering; Hydraulic fracturing; Directional drilling; Materials science","score_opus":0.01935037379429668,"score_gpt":0.2345376084065269,"score_spread":0.21518723461223022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206945544","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":[0.63984346,0.0012578255,0.3487011,0.006818733,0.00025346506,0.0008020165,0.00003835171,0.0010677989,0.001217246],"genre_scores_gemma":[0.99364525,0.00026430984,0.00526493,0.00009480361,0.000066378765,0.00036511288,0.00016109382,0.00005036203,0.00008775766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981817,0.00006985377,0.00041427382,0.0005198819,0.00023118933,0.00058310636],"domain_scores_gemma":[0.99925584,0.0001293166,0.00009342921,0.0003759648,0.000057092017,0.000088373024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038199013,0.0003284126,0.00045418693,0.000952244,0.0005419729,0.000068704096,0.0003291465,0.00028876614,0.0002924169],"category_scores_gemma":[0.000048019803,0.00035230242,0.00009990333,0.0006252059,0.0001321788,0.00021720666,0.0001663647,0.0010071784,0.000011127476],"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":[0.00009622151,0.000105584986,0.00067484996,0.000103384664,0.00009997265,0.00008462329,0.0005538998,0.9897175,0.0034290857,0.00020160186,0.001774784,0.003158486],"study_design_scores_gemma":[0.0038127324,0.0007823688,0.0040074065,0.00031242642,0.00020754187,0.00027836885,0.0033571282,0.86769766,0.051438034,0.0185516,0.04789868,0.0016560557],"about_ca_topic_score_codex":0.00017801163,"about_ca_topic_score_gemma":0.00019797613,"teacher_disagreement_score":0.35380176,"about_ca_system_score_codex":0.00028892685,"about_ca_system_score_gemma":0.00003910673,"threshold_uncertainty_score":0.9998929},"labels":[],"label_agreement":null},{"id":"W4206957422","doi":"10.2118/209150-ms","title":"A Computational Model to Simulate Proppant Transport and Placement in Rough Fractures","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":2,"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 Alberta","funders":"","keywords":"Surface finish; Mechanics; Discrete element method; Fracture (geology); Particle (ecology); Surface roughness; Computational fluid dynamics; Geology; Flow (mathematics); Fluid dynamics; CFD-DEM; Materials science; Geotechnical engineering; Physics; Composite material","score_opus":0.01151712837033639,"score_gpt":0.2270256640231427,"score_spread":0.2155085356528063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206957422","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":[0.9465778,0.0002135195,0.05095412,0.0013549867,0.00004384617,0.00029333396,0.000015758536,0.00025825485,0.0002883733],"genre_scores_gemma":[0.99678797,0.00005625327,0.002728441,0.00024885617,0.000009121863,0.00009900682,0.000042504533,0.000017589318,0.00001023354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913555,0.000011232271,0.00020639756,0.00026447498,0.00014380824,0.00023851595],"domain_scores_gemma":[0.99977845,0.000013616538,0.000020915184,0.0001191401,0.000016327547,0.000051565876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103270126,0.00016073244,0.00019025616,0.00036632383,0.00012757392,0.000018073913,0.00008748983,0.00010412412,0.000050230614],"category_scores_gemma":[0.000005334828,0.0001727559,0.000019247866,0.00018243783,0.00004813904,0.00009748856,0.00006670134,0.00036638428,0.0000030920646],"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":[0.000036692167,0.000030915668,0.0007434974,0.000034078275,0.000012729112,0.000029214714,0.00078938226,0.9872429,0.0042298404,0.0011517981,0.000057243433,0.005641722],"study_design_scores_gemma":[0.0008556913,0.00011655107,0.0020564091,0.00004701741,0.000014225816,0.00003674483,0.00021839951,0.9630188,0.0055833114,0.02652265,0.0012407516,0.00028945398],"about_ca_topic_score_codex":0.00002259325,"about_ca_topic_score_gemma":0.0000284603,"teacher_disagreement_score":0.050210185,"about_ca_system_score_codex":0.000059324775,"about_ca_system_score_gemma":0.000022744602,"threshold_uncertainty_score":0.7044781},"labels":[],"label_agreement":null},{"id":"W4206977172","doi":"10.2118/209122-ms","title":"Assessment of Limited Entry Cluster Distribution Effectiveness and Impactful Variables using Perforation Erosion Measurements","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Chevron (Canada)","funders":"","keywords":"Perforation; Erosion; Calibration; Geology; Materials science; Statistics; Mathematics; Geomorphology; Composite material","score_opus":0.016154416544301203,"score_gpt":0.24843303060350833,"score_spread":0.23227861405920713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206977172","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":[0.8960399,0.0002631428,0.10283676,0.00016421366,0.00010323276,0.00021805818,0.000021838432,0.00018032994,0.00017254945],"genre_scores_gemma":[0.99897355,0.00021444581,0.00056095596,0.000016376862,0.000025726747,0.00004148557,0.00014547168,0.00001862713,0.0000033535682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988035,0.00011030584,0.00028434664,0.00029256876,0.00026004395,0.0002492515],"domain_scores_gemma":[0.9994879,0.00005029767,0.00011350255,0.00022265968,0.000070698174,0.000054976743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045509386,0.00020189829,0.00030166484,0.00031386394,0.00033458293,0.00004318652,0.00010230001,0.00017886664,0.00004600093],"category_scores_gemma":[0.000036378,0.00020194513,0.000044702698,0.000321737,0.00009972952,0.0002204,0.00014985696,0.00041038045,5.6236763e-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":[0.00007367523,0.00015914642,0.037199557,0.0005989786,0.00025484114,0.000008778279,0.0002547611,0.69543815,0.25311613,0.0002679205,0.00006747494,0.012560602],"study_design_scores_gemma":[0.0013908632,0.0002650303,0.08904325,0.00034934492,0.00021808862,0.000073673546,0.00041457397,0.7513732,0.15346362,0.0026373474,0.00029894823,0.00047206605],"about_ca_topic_score_codex":0.00010659766,"about_ca_topic_score_gemma":0.000010948484,"teacher_disagreement_score":0.102933675,"about_ca_system_score_codex":0.00022233758,"about_ca_system_score_gemma":0.000036236346,"threshold_uncertainty_score":0.8235084},"labels":[],"label_agreement":null},{"id":"W4207019211","doi":"10.2118/209127-ms","title":"Efficiency and Effectiveness - A Fine Balance: An Integrated System to Improve Decisions in Real-Time Hydraulic Fracturing Operations","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Workflow; Analytics; Key (lock); Hydraulic fracturing; Computer science; Service (business); Operations research; Value (mathematics); Dual (grammatical number); Data science; Industrial engineering; Engineering; Business; Petroleum engineering; Database","score_opus":0.010600256512468527,"score_gpt":0.25693733535331914,"score_spread":0.24633707884085063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207019211","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":[0.892468,0.00012007574,0.105487555,0.00019983303,0.00014837,0.00046177543,0.000020004682,0.00083147536,0.00026294953],"genre_scores_gemma":[0.9934086,0.0000804506,0.006075862,0.000019344348,0.00003230545,0.0002773005,0.000053685795,0.000038196285,0.000014225886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984808,0.00013137117,0.00035539982,0.0004896601,0.00017729333,0.00036550625],"domain_scores_gemma":[0.9992277,0.00017589671,0.00003442428,0.00038539086,0.00005368322,0.00012290772],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005521183,0.0002705182,0.0003778632,0.0008151791,0.00029707234,0.00009080852,0.00021108818,0.0001978185,0.00003417122],"category_scores_gemma":[0.00014783182,0.00028311874,0.000028899713,0.0006849382,0.00005436333,0.00026375672,0.00016085926,0.00060766103,0.000009168674],"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":[0.000027758855,0.000032080992,0.00044837128,0.000059231497,0.000012000617,0.000024379948,0.00034828356,0.9436738,0.042398214,0.00039544117,0.0000074400923,0.0125730075],"study_design_scores_gemma":[0.0008023417,0.00024099405,0.006367707,0.00023935457,0.000011635444,0.00005562253,0.0005238774,0.9751413,0.0152905565,0.00054016866,0.00041813686,0.00036833162],"about_ca_topic_score_codex":0.00018925815,"about_ca_topic_score_gemma":0.000045743924,"teacher_disagreement_score":0.10094067,"about_ca_system_score_codex":0.00022409463,"about_ca_system_score_gemma":0.00003554527,"threshold_uncertainty_score":0.9999621},"labels":[],"label_agreement":null},{"id":"W4207063602","doi":"10.2118/209136-ms","title":"Linking Flowback Recovery to Completion Efficiency: Niobrara-DJ Basin Case Study","year":2022,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"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 Alberta","funders":"","keywords":"Completion (oil and gas wells); Petroleum engineering; Wellbore; Microseism; Fracture (geology); Production (economics); Geology; Geotechnical engineering; Seismology","score_opus":0.020114383027992032,"score_gpt":0.258458867067008,"score_spread":0.23834448403901595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207063602","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":[0.85470873,0.00009816847,0.14264217,0.00047601038,0.00032339914,0.00037613048,0.0000073670726,0.0008890682,0.000478981],"genre_scores_gemma":[0.9931924,0.000024594907,0.0064244005,0.00009251875,0.0000638588,0.00011156767,0.000021371978,0.000034493845,0.000034838293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986922,0.000080985374,0.00030871344,0.0003745664,0.00021901896,0.0003244834],"domain_scores_gemma":[0.99939615,0.00007709806,0.000042632673,0.00036105793,0.00004338501,0.00007965816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004567574,0.00022045866,0.0002847842,0.00064102653,0.0003930219,0.00007539602,0.00017963638,0.0001246734,0.00012134579],"category_scores_gemma":[0.00005411719,0.0002543035,0.00004098249,0.000577944,0.000035903136,0.0001577362,0.00018532568,0.0005843433,0.000018327895],"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":[0.000015645332,0.00006431827,0.0011010722,0.000038443264,0.000022736882,0.00038949112,0.00084539095,0.9682612,0.0019398561,0.00015961759,0.00011230721,0.02704996],"study_design_scores_gemma":[0.0019225294,0.0012365301,0.0024170275,0.00014691165,0.00006501009,0.0022855983,0.006230018,0.95346504,0.009118467,0.006797014,0.01514323,0.0011726298],"about_ca_topic_score_codex":0.00007714436,"about_ca_topic_score_gemma":0.000028167051,"teacher_disagreement_score":0.13848364,"about_ca_system_score_codex":0.00012294577,"about_ca_system_score_gemma":0.000019139883,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W4317790670","doi":"10.2118/212352-ms","title":"Fracture Driven Interaction (FDI) Diagnostics and Modeling at a Shut-In Open-Hole-Multi-Lateral Producing Well","year":2023,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Fracture (geology); Spark plug; Geology; Mechanics; Hydraulic fracturing; Compressibility; Core (optical fiber); Oil well; Geotechnical engineering; Materials science; Engineering; Mechanical engineering; Composite material; Physics","score_opus":0.023503847469728587,"score_gpt":0.26151010511969924,"score_spread":0.23800625764997066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317790670","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":[0.98748296,0.00043088096,0.007272325,0.002890062,0.0001945229,0.00037406327,0.000005801382,0.0008889681,0.000460422],"genre_scores_gemma":[0.9953275,0.0033736706,0.0007288467,0.00012703422,0.00009075089,0.00007764343,0.00009332015,0.000053655982,0.00012763053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813956,0.000037480153,0.00043290597,0.000674338,0.00016160519,0.000554105],"domain_scores_gemma":[0.9992575,0.00007856095,0.00008274124,0.00041750813,0.000050981736,0.00011269537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024100095,0.00036309086,0.00045595976,0.0008773163,0.00024962844,0.0001988347,0.00029185234,0.00047929666,0.000059305556],"category_scores_gemma":[0.000111043024,0.0003529124,0.00005117202,0.0005404552,0.00010704091,0.00053875905,0.000435846,0.0008258395,0.00009382465],"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":[0.000032419233,0.000041322455,0.0063741733,0.00019117286,0.00008174063,0.00014093911,0.0013315871,0.97881174,0.0033871843,0.000028343067,0.00052590104,0.009053464],"study_design_scores_gemma":[0.0007980602,0.000049546823,0.00400272,0.00051005214,0.000045277866,0.00004586006,0.00046802065,0.97991735,0.010553069,0.0012466606,0.0019078295,0.000455528],"about_ca_topic_score_codex":0.0003923131,"about_ca_topic_score_gemma":0.0010175805,"teacher_disagreement_score":0.008597936,"about_ca_system_score_codex":0.00018838159,"about_ca_system_score_gemma":0.000023570346,"threshold_uncertainty_score":0.9998923},"labels":[],"label_agreement":null},{"id":"W4317790712","doi":"10.2118/212321-ms","title":"Results from a Collaborative Industry Study on Parent/Child Interactions: Bakken, Permian Basin, and Montney","year":2023,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Hydraulic fracturing; Consistency (knowledge bases); Offset (computer science); Microseism; Structural basin; Geology; Reservoir modeling; Petroleum engineering; Set (abstract data type); Computer science; Artificial intelligence; Seismology; Paleontology","score_opus":0.017793081883183223,"score_gpt":0.2550415933736384,"score_spread":0.23724851149045517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317790712","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":[0.9878673,0.00016358343,0.00025791128,0.006343556,0.00020225116,0.0003354382,0.00009379374,0.0013000563,0.0034360962],"genre_scores_gemma":[0.9986751,0.00060507987,0.00007614352,0.00012732051,0.00014344361,0.0000819098,0.00014751343,0.000037105186,0.00010637866],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982924,0.00006523921,0.00041226172,0.0006261294,0.00021755481,0.0003864309],"domain_scores_gemma":[0.99905825,0.00014592506,0.00009862188,0.0004872203,0.00007711571,0.00013287355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018834035,0.00034968494,0.0004121277,0.0008181935,0.00031973317,0.00014065573,0.00017931734,0.0004887515,0.000044710538],"category_scores_gemma":[0.00018901346,0.00032739437,0.000046503155,0.00081145007,0.00015610005,0.00026444427,0.00012619051,0.0012965134,0.000091678216],"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":[0.0021510944,0.0030345274,0.06744646,0.00067518,0.0066816467,0.0037587525,0.07517441,0.3269242,0.014371643,0.0012939493,0.05134706,0.44714108],"study_design_scores_gemma":[0.015058407,0.002626944,0.43535912,0.00450035,0.0010634196,0.00020250317,0.123617075,0.22385512,0.10162452,0.02493173,0.061984595,0.005176207],"about_ca_topic_score_codex":0.00029241666,"about_ca_topic_score_gemma":0.00043784358,"teacher_disagreement_score":0.44196486,"about_ca_system_score_codex":0.00007029183,"about_ca_system_score_gemma":0.000024262217,"threshold_uncertainty_score":0.9999178},"labels":[],"label_agreement":null},{"id":"W4317790715","doi":"10.2118/212357-ms","title":"Reductions in Emissions and Fuel Cost with Start/Stop System Technology for Diesel Frac Fleets","year":2023,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Diesel fuel; Engineering; Hydraulic fracturing; Limiting; Cash flow; Business; Waste management; Environmental economics; Natural resource economics; Finance; Petroleum engineering; Economics","score_opus":0.010858217103146278,"score_gpt":0.22084171869564215,"score_spread":0.20998350159249587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317790715","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":[0.9828596,0.00008817778,0.009886409,0.005177017,0.000054041386,0.00056155113,0.0000070835704,0.0004582959,0.0009078406],"genre_scores_gemma":[0.9921453,0.00042542792,0.00681534,0.00005506793,0.000014840189,0.00024846225,0.000019376506,0.00002108442,0.00025512438],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987725,0.000012563195,0.00020762385,0.00049866195,0.00011442697,0.00039420044],"domain_scores_gemma":[0.9995449,0.00003037069,0.00008714573,0.00025577942,0.0000073709193,0.000074442454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010231,0.00019931539,0.00022536678,0.00012501232,0.00025724326,0.000023099512,0.00013255203,0.0003197177,0.000041443578],"category_scores_gemma":[0.0000277276,0.00017851233,0.000018518045,0.0005520131,0.00073280354,0.00019159525,0.00023248405,0.0002919102,0.00003452391],"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":[0.00047954987,0.0005806955,0.39393792,0.00070553285,0.00017053448,0.00035080736,0.0037912887,0.0506087,0.05981438,0.025919406,0.0020695245,0.46157166],"study_design_scores_gemma":[0.00977953,0.002942059,0.3698749,0.002364492,0.00034973715,0.0015557436,0.0836767,0.23311034,0.021581879,0.20072885,0.069901265,0.004134517],"about_ca_topic_score_codex":0.00011205632,"about_ca_topic_score_gemma":0.00016676843,"teacher_disagreement_score":0.45743716,"about_ca_system_score_codex":0.00016663453,"about_ca_system_score_gemma":0.000012145917,"threshold_uncertainty_score":0.7279522},"labels":[],"label_agreement":null},{"id":"W4317790788","doi":"10.2118/212370-ms","title":"A Catalogue of Fiber Optics Strain-Rate Fracture Driven Interactions","year":2023,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Strain rate; Fracture (geology); Strain (injury); Interpretation (philosophy); Geology; Field (mathematics); Computer science; Deformation (meteorology); Artificial intelligence; Materials science; Geotechnical engineering; Mathematics; Composite material","score_opus":0.018026651977762365,"score_gpt":0.23612513607281396,"score_spread":0.2180984840950516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317790788","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":[0.9769301,0.000094054296,0.0019230141,0.0142103,0.00020433003,0.00020449981,0.00016949627,0.00094131666,0.0053228927],"genre_scores_gemma":[0.99696076,0.00027858792,0.0013651394,0.0006123463,0.000041682324,0.000002975407,0.00051220995,0.0000052576215,0.00022103458],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991187,0.000028574887,0.000216522,0.00027467156,0.000108005595,0.0002535609],"domain_scores_gemma":[0.9994447,0.0000826944,0.00012586644,0.00022842076,0.00006379259,0.000054513228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014727347,0.0001470312,0.0001932237,0.0004692535,0.0001467467,0.000035499073,0.00016737924,0.00018439189,0.00069189706],"category_scores_gemma":[0.00006487551,0.00013289606,0.000041166262,0.0003714307,0.00027144665,0.00025993885,0.000034994802,0.00035496164,0.0002409603],"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":[0.000120693745,0.00011853858,0.033134207,0.00030931042,0.00019319898,0.00021360505,0.002322448,0.0072195097,0.0135350805,0.002629934,0.04464153,0.89556193],"study_design_scores_gemma":[0.0014301796,0.00085760275,0.14871173,0.0010593701,0.0001610835,0.0003231367,0.004681185,0.2303085,0.21894324,0.2153963,0.17660138,0.0015262802],"about_ca_topic_score_codex":0.00090966537,"about_ca_topic_score_gemma":0.00010792651,"teacher_disagreement_score":0.89403564,"about_ca_system_score_codex":0.000005545332,"about_ca_system_score_gemma":0.00003645764,"threshold_uncertainty_score":0.75757873},"labels":[],"label_agreement":null},{"id":"W4317815139","doi":"10.2118/212368-ms","title":"Parent Well Characterization by Comparative Analysis of Initial and Second Flowback","year":2023,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"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 Alberta","funders":"","keywords":"Fracture (geology); Hydraulic fracturing; Compaction; Petroleum engineering; Geology; Geotechnical engineering; Environmental science","score_opus":0.01581563233238293,"score_gpt":0.2602460288335627,"score_spread":0.24443039650117976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317815139","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":[0.99108684,0.00018226045,0.0061583463,0.00048937503,0.00006796141,0.00011817754,0.000072395254,0.0004849964,0.0013396507],"genre_scores_gemma":[0.9981462,0.0009102534,0.00006973747,0.000035902227,0.00002771976,0.000022031305,0.0006821451,0.000013639541,0.00009241814],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988895,0.00002734903,0.00034595575,0.00032127777,0.00014252664,0.0002733867],"domain_scores_gemma":[0.9994857,0.00004703321,0.00009712857,0.00024032424,0.00005616313,0.00007370021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012005069,0.00021992113,0.00051109924,0.0010685177,0.00010294327,0.000044104243,0.00011569731,0.0002685816,0.00021789223],"category_scores_gemma":[0.00001359268,0.00021493118,0.00007034434,0.001163352,0.00019496492,0.00018767957,0.00007392229,0.0002675521,0.000028006578],"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":[0.00016418385,0.00032557454,0.025101008,0.0014559461,0.009194742,0.00010695892,0.00928394,0.12592338,0.7278221,0.0010830219,0.006547062,0.09299208],"study_design_scores_gemma":[0.00093628664,0.00016929956,0.07422358,0.00020099415,0.0011000163,0.0000136486,0.0011915939,0.6023283,0.3046034,0.0018485752,0.012526177,0.0008581551],"about_ca_topic_score_codex":0.000030100335,"about_ca_topic_score_gemma":0.000095019204,"teacher_disagreement_score":0.4764049,"about_ca_system_score_codex":0.000024080182,"about_ca_system_score_gemma":0.000010390512,"threshold_uncertainty_score":0.8764639},"labels":[],"label_agreement":null},{"id":"W4391329375","doi":"10.2118/217809-ms","title":"Application of Machine Learning to Create a Discrete Fracture Network Model for Utah FORGE Fracture Injections","year":2024,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"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 Calgary","funders":"","keywords":"Forge; Fracture (geology); Computer science; Engineering; Materials science; Mechanical engineering; Composite material; Forging","score_opus":0.011701791721643307,"score_gpt":0.26341054309203205,"score_spread":0.25170875137038873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329375","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":[0.059619818,0.00088949525,0.93611836,0.0015886979,0.00009923007,0.00039834416,0.000019726476,0.001069264,0.00019705112],"genre_scores_gemma":[0.9651722,0.00021348125,0.03401288,0.00007438674,0.00012245981,0.00016410052,0.00009239786,0.000049587466,0.00009852575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989785,0.000014529842,0.00028787128,0.0003215808,0.0001033396,0.0002941807],"domain_scores_gemma":[0.99947244,0.00010869938,0.000042851276,0.00024026234,0.00006389938,0.00007187683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019615909,0.00022828899,0.00027531336,0.00037576404,0.00012784211,0.000059860024,0.00012090766,0.00036071785,0.00001288155],"category_scores_gemma":[0.0000699351,0.00021937811,0.000070715294,0.0003897483,0.000041407697,0.00018451086,0.00003916225,0.0005294105,0.000005284573],"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":[0.00001473896,0.000005032952,0.00013096877,0.00019395696,0.00003827275,9.495852e-7,0.00029877544,0.9847138,0.0023289565,0.0011543365,0.0002191602,0.010901087],"study_design_scores_gemma":[0.00017581304,0.00006386135,0.0001294247,0.00017152015,0.000035793822,0.000007619743,0.000036439764,0.95245016,0.0068028863,0.020566674,0.01934893,0.0002108753],"about_ca_topic_score_codex":0.000025795154,"about_ca_topic_score_gemma":0.000018530374,"teacher_disagreement_score":0.9055524,"about_ca_system_score_codex":0.000044287193,"about_ca_system_score_gemma":0.000018251796,"threshold_uncertainty_score":0.894598},"labels":[],"label_agreement":null},{"id":"W4391329418","doi":"10.2118/217787-ms","title":"An Interdisciplinary Economic Appraisal of Plug-And-Perf Versus Single-Point Entry Completions Systems Using Simulation","year":2024,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Computer science; Point (geometry); Economic appraisal; Plug-in; Spark plug; Mathematical optimization; Operations research; Mathematics; Mechanical engineering; Engineering; Economics; Operating system; Public economics","score_opus":0.03524789390472977,"score_gpt":0.32760547527883566,"score_spread":0.2923575813741059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329418","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":[0.71598,0.00059124583,0.28181708,0.00009566369,0.000572163,0.000095647534,0.000009520669,0.000518289,0.0003203992],"genre_scores_gemma":[0.9956853,0.00008069279,0.004049506,0.0000015690545,0.00011092978,0.000009089428,0.000031578333,0.000027816624,0.0000035435207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991732,0.000027565095,0.000298444,0.00025429094,0.00006868202,0.00017782164],"domain_scores_gemma":[0.99949783,0.00017171462,0.000038235863,0.00021221442,0.000026164711,0.000053856544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001430034,0.00017163923,0.00023068786,0.00042415428,0.0000826733,0.00009646676,0.00008167803,0.00022315203,0.000018804205],"category_scores_gemma":[0.000021510225,0.00018299898,0.000032236723,0.00011663847,0.00010728813,0.00034729647,0.00006542071,0.0002485297,0.000004717159],"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":[0.000016814998,0.000009822069,0.000073584655,0.00019257914,0.000035147554,0.000004209352,0.00024407275,0.9791346,0.011886641,0.002488265,0.0000070148462,0.0059072576],"study_design_scores_gemma":[0.0003011178,0.00010342845,0.00018029433,0.00028088575,0.000030493953,0.000022166507,0.0003195499,0.99202716,0.0047426517,0.0015269942,0.00028894717,0.00017628558],"about_ca_topic_score_codex":0.000021160942,"about_ca_topic_score_gemma":0.0000059844233,"teacher_disagreement_score":0.2797053,"about_ca_system_score_codex":0.000087117274,"about_ca_system_score_gemma":0.000015943202,"threshold_uncertainty_score":0.7462481},"labels":[],"label_agreement":null},{"id":"W4391329461","doi":"10.2118/217759-ms","title":"New Advancements in Flowback Analysis for Rapid Diagnostics and Integrated Hydraulic Fracture Optimization","year":2024,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Hydraulic fracturing; Petroleum engineering; Fracture (geology); Computer science; Geology; Geotechnical engineering","score_opus":0.008710211743899045,"score_gpt":0.23013664810225434,"score_spread":0.2214264363583553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329461","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":[0.08334213,0.008083215,0.9027295,0.0039006562,0.000203031,0.00040752642,0.000022905666,0.0008761557,0.00043484947],"genre_scores_gemma":[0.97862196,0.010160406,0.010462512,0.00017083978,0.000099156496,0.000073256204,0.00027458137,0.00004543693,0.00009183084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983678,0.000023634899,0.0004337921,0.0005833471,0.00015527915,0.00043614995],"domain_scores_gemma":[0.99930805,0.00014712884,0.00005389591,0.00030529345,0.000056907953,0.00012873983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017052113,0.00036807463,0.00050524645,0.001571955,0.00010944912,0.00019151201,0.00016131958,0.0004972153,0.00016383147],"category_scores_gemma":[0.00010611517,0.00034281518,0.00010925232,0.0013473373,0.000096614756,0.0003832604,0.00005831569,0.00056243985,0.000009901461],"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":[0.00002045306,0.000024617597,0.00096994685,0.00023417649,0.00051465974,0.00003405828,0.00039213258,0.9070781,0.00023913817,0.00012722022,0.0010214152,0.089344114],"study_design_scores_gemma":[0.00062061095,0.00009555014,0.00115922,0.00039710404,0.0005040022,0.000014835797,0.00018826369,0.9581186,0.006283697,0.0061372,0.025980353,0.0005005373],"about_ca_topic_score_codex":0.00017729196,"about_ca_topic_score_gemma":0.00022573282,"teacher_disagreement_score":0.8952798,"about_ca_system_score_codex":0.00010414441,"about_ca_system_score_gemma":0.000047654237,"threshold_uncertainty_score":0.99990237},"labels":[],"label_agreement":null},{"id":"W4391329509","doi":"10.2118/217785-ms","title":"Improving Stage Isolation in Vaca Muerta Wells Through Observations from an Integrated Fiber Optic Pilot","year":2024,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Stage (stratigraphy); Isolation (microbiology); Optical fiber; Geology; Computer science; Telecommunications; Paleontology; Biology","score_opus":0.020590604247368072,"score_gpt":0.24390386064322708,"score_spread":0.223313256395859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329509","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":[0.9311982,0.001006271,0.062948875,0.0019325827,0.00021230863,0.00022071104,0.00003151254,0.0014611175,0.0009884319],"genre_scores_gemma":[0.9926118,0.00038836827,0.006185304,0.00008533321,0.000100161866,0.000049083872,0.0002955439,0.000050975665,0.00023342457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841076,0.000039948245,0.00043320062,0.0005591154,0.00015845266,0.0003985062],"domain_scores_gemma":[0.99931586,0.000085250365,0.000053453503,0.00042443356,0.000048711943,0.00007231395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014762065,0.0003223252,0.00033017047,0.00057430647,0.00012515682,0.00022642595,0.00021806685,0.00039697584,0.0003657757],"category_scores_gemma":[0.00005138734,0.00030741442,0.00005461864,0.0006730351,0.00010909182,0.0009967979,0.000067228786,0.00084620086,0.00009622884],"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":[0.00012430765,0.00045118565,0.0043293936,0.0012065457,0.00070568867,0.00066720136,0.0059023243,0.6760302,0.11157186,0.005427093,0.0010541048,0.19253007],"study_design_scores_gemma":[0.00043554226,0.0001543855,0.0036462913,0.0005740311,0.00008419938,0.000014149919,0.0006692899,0.9551565,0.019413983,0.009888767,0.009388636,0.00057423],"about_ca_topic_score_codex":0.003035698,"about_ca_topic_score_gemma":0.0009605713,"teacher_disagreement_score":0.27912626,"about_ca_system_score_codex":0.00014281874,"about_ca_system_score_gemma":0.00004977824,"threshold_uncertainty_score":0.9999378},"labels":[],"label_agreement":null},{"id":"W4391329541","doi":"10.2118/217822-ms","title":"A Comprehensive Review of Casing Deformation During Multi-Stage Hydraulic Fracturing in Unconventional Plays: Characterization, Diagnosis, Controlling Factors, Mitigation and Recovery Strategies","year":2024,"lang":"en","type":"review","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada); University of Alberta","funders":"","keywords":"Casing; Hydraulic fracturing; Stage (stratigraphy); Petroleum engineering; Characterization (materials science); Deformation (meteorology); Geology; Geotechnical engineering; Materials science; Nanotechnology","score_opus":0.02863721542242784,"score_gpt":0.27938310578360126,"score_spread":0.2507458903611734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329541","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":[0.058175016,0.93616194,0.0036349227,0.00015938266,0.00023344091,0.0009808001,0.00013728547,0.00045211625,0.000065073495],"genre_scores_gemma":[0.27842155,0.7201074,0.00016620276,0.00002448141,0.00006866495,0.00018179315,0.00094630296,0.00007012517,0.000013489903],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9966762,0.00013412118,0.0016053682,0.0007451711,0.00031722768,0.0005218779],"domain_scores_gemma":[0.9985208,0.00017607122,0.0006340781,0.00041967654,0.00013602943,0.00011336274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028428252,0.00084538956,0.002083055,0.001757384,0.00018649886,0.00021479413,0.00024730497,0.00092041894,0.00004767478],"category_scores_gemma":[0.00010709037,0.00076070236,0.00032676474,0.00075651,0.0002180429,0.0009357361,0.00015626242,0.0013165465,0.00001617801],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030489875,0.00015595068,0.00041881154,0.69605803,0.0016582435,0.0002215402,0.001234258,0.018193055,0.0010496584,0.00021585551,0.000041706753,0.2807224],"study_design_scores_gemma":[0.0025680517,0.00024000359,0.0026711123,0.75991875,0.004342224,0.0004997024,0.0018482048,0.049074158,0.0074945563,0.0021462385,0.16488113,0.004315856],"about_ca_topic_score_codex":0.00012013593,"about_ca_topic_score_gemma":0.000057343557,"teacher_disagreement_score":0.27640656,"about_ca_system_score_codex":0.00034913278,"about_ca_system_score_gemma":0.00016004422,"threshold_uncertainty_score":0.9994844},"labels":[],"label_agreement":null},{"id":"W4391329542","doi":"10.2118/217760-ms","title":"Quantifying the Effects of Parent-Child Communication Using Dynamic Fluid-In-Place Calculations","year":2024,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"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 Calgary","funders":"","keywords":"Computer science","score_opus":0.013670467514163646,"score_gpt":0.25931690514698086,"score_spread":0.2456464376328172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391329542","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":[0.96207756,0.009719052,0.025009345,0.0018438351,0.0001710071,0.00021966198,0.0000030912586,0.00045861764,0.0004978576],"genre_scores_gemma":[0.9966671,0.002756144,0.00045289547,0.00002001769,0.000019740322,0.000024644389,0.000022066766,0.0000252232,0.000012202347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901795,0.000048958962,0.00031833595,0.00024002904,0.00012896335,0.00024576744],"domain_scores_gemma":[0.99927515,0.0001802148,0.00004731218,0.00043463605,0.000030644616,0.000032031323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018252643,0.00018838292,0.0002466574,0.0005405663,0.00017437535,0.0000692027,0.00021097141,0.00023540681,0.0000142813515],"category_scores_gemma":[0.000067376954,0.00015249128,0.00006864901,0.00053580664,0.00018155946,0.00019911479,0.000077880184,0.0005506715,0.00000797624],"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":[0.000023191931,0.000114632385,0.00202555,0.0033718213,0.00051633874,0.000100878024,0.0035779101,0.8311502,0.076764785,0.0050769662,0.00018675212,0.077090986],"study_design_scores_gemma":[0.00022944792,0.000025213352,0.00209323,0.0018675328,0.000104527324,0.00004574816,0.00034462876,0.9626273,0.028815892,0.0028375292,0.0007749592,0.00023399318],"about_ca_topic_score_codex":0.00022034992,"about_ca_topic_score_gemma":0.00041768054,"teacher_disagreement_score":0.13147712,"about_ca_system_score_codex":0.000085119435,"about_ca_system_score_gemma":0.000022893484,"threshold_uncertainty_score":0.62184143},"labels":[],"label_agreement":null},{"id":"W4406852670","doi":"10.2118/223544-ms","title":"New Hybrid Workflow for Field Development Planning and Execution: Early Time Fracs vs Long Term Production","year":2025,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"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 Calgary","funders":"","keywords":"Workflow; Computer science; Term (time); Field (mathematics); Production (economics); Production planning; Software engineering; Process management; Database; Engineering","score_opus":0.011945077290767119,"score_gpt":0.2531434641624845,"score_spread":0.24119838687171738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852670","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":[0.5408022,0.00043392,0.45703587,0.0007878394,0.00015222895,0.00016671198,4.9163407e-7,0.00039430222,0.00022648358],"genre_scores_gemma":[0.954695,0.00007089896,0.044615306,0.000039152652,0.000085645384,0.000040391013,0.000017683013,0.000014509576,0.0004214221],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922496,0.000008816117,0.00021217157,0.00026864404,0.00006697246,0.00021843259],"domain_scores_gemma":[0.9996485,0.00006319805,0.00003187795,0.00017017908,0.000039344308,0.00004686651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012826215,0.00016916842,0.0001920832,0.00032399458,0.00013992417,0.00007033465,0.000078935285,0.00019913196,0.0000147941555],"category_scores_gemma":[0.00008290545,0.0001826585,0.000020568681,0.00015315729,0.000030056028,0.00018371404,0.00004045811,0.00024141298,0.0000041142603],"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":[0.00012574914,0.000023647284,0.013706242,0.0006002763,0.00015360629,0.000016407736,0.00062602956,0.1018069,0.0112152025,0.0007829094,0.0022481761,0.86869484],"study_design_scores_gemma":[0.001900423,0.00023269326,0.07726608,0.0022031113,0.000091623144,0.0000639401,0.000068994974,0.13780344,0.7388242,0.02753498,0.0129856905,0.0010248149],"about_ca_topic_score_codex":0.000004136325,"about_ca_topic_score_gemma":0.0000018199572,"teacher_disagreement_score":0.86767006,"about_ca_system_score_codex":0.000038399638,"about_ca_system_score_gemma":0.00002912863,"threshold_uncertainty_score":0.74485976},"labels":[],"label_agreement":null},{"id":"W4406852686","doi":"10.2118/223542-ms","title":"Adding Depth: The Superiority of Volumetric Perforation Erosion Analysis for Evaluating Stimulation Performance and Optimizing Completion Designs","year":2025,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Positive Living Society of British Columbia","funders":"","keywords":"Completion (oil and gas wells); Erosion; Computer science; Perforation; Geology; Petroleum engineering; Engineering; Mechanical engineering; Geomorphology","score_opus":0.048299677778084735,"score_gpt":0.2751460332032588,"score_spread":0.22684635542517406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852686","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":[0.67892265,0.00024795916,0.32026148,0.0001667511,0.000032130967,0.00018844845,0.0000018718947,0.00008829628,0.0000904275],"genre_scores_gemma":[0.9924735,0.00035647876,0.007038127,0.0000122393985,0.000016555681,0.000037528443,0.0000515103,0.00000724275,0.0000068614495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919415,0.00002654887,0.00028187397,0.00020841307,0.0001309941,0.00015805093],"domain_scores_gemma":[0.9995115,0.00008639001,0.00008125221,0.00015556072,0.00014860102,0.000016686246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045714248,0.00013412246,0.00025145125,0.0008139285,0.00029923275,0.00005501754,0.00007608872,0.00014222902,0.000008228542],"category_scores_gemma":[0.000094624695,0.00011882419,0.000054817767,0.000992198,0.0000844686,0.00023139018,0.000032345124,0.00015520248,4.4736205e-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":[0.00006417365,0.00003408868,0.2101914,0.00043870803,0.00048611482,2.641617e-7,0.0005018913,0.369506,0.25357234,0.001180721,0.000026757816,0.16399752],"study_design_scores_gemma":[0.00029537387,0.00006975882,0.07546986,0.00011627599,0.00036481366,6.1119107e-7,0.0001887648,0.8852485,0.03759356,0.0005190893,0.00002684014,0.00010657741],"about_ca_topic_score_codex":0.000023793424,"about_ca_topic_score_gemma":0.000070139366,"teacher_disagreement_score":0.5157425,"about_ca_system_score_codex":0.00005224103,"about_ca_system_score_gemma":0.000014946391,"threshold_uncertainty_score":0.48455098},"labels":[],"label_agreement":null},{"id":"W4406852735","doi":"10.2118/223522-ms","title":"Determining a Minimum Polymer Concentration to Optimize Dynamic Proppant Suspension and Transport at a Particular Shear Rate and Proppant Concentration","year":2025,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Suspension (topology); Polymer; Materials science; Shear (geology); Shear rate; Petroleum engineering; Computer science; Geotechnical engineering; Mechanics; Geology; Rheology; Composite material; Physics; Mathematics","score_opus":0.006878562746270527,"score_gpt":0.2127581017177382,"score_spread":0.20587953897146768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852735","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":[0.9750087,0.0010019119,0.021058366,0.0017605823,0.000109181296,0.0005961663,0.000005102773,0.00031899594,0.00014094773],"genre_scores_gemma":[0.9979989,0.00076496025,0.000906372,0.00016683976,0.000013451459,0.000068080975,0.00003615146,0.000018348357,0.000026919919],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880135,0.000027776887,0.00031275855,0.0004166735,0.000092780356,0.00034863802],"domain_scores_gemma":[0.9996041,0.000023734481,0.00004252924,0.00018641753,0.000046548652,0.00009665172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013249781,0.00024804976,0.0002993479,0.0001579939,0.00018810858,0.000060973493,0.000059107686,0.00027040904,0.0000129274895],"category_scores_gemma":[0.000022149694,0.00023943136,0.00002579732,0.00017867736,0.00017961326,0.0002040999,0.000049732094,0.00020948866,0.0000043106443],"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":[0.00009709767,0.000023016062,0.0023378746,0.0001771608,0.000045034434,0.00005127596,0.0007023525,0.00026238943,0.9716796,0.00081943313,0.000026263706,0.023778459],"study_design_scores_gemma":[0.0016155214,0.00019340099,0.0069922227,0.0005673245,0.00012660286,0.00008553786,0.00025648228,0.17118564,0.81703043,0.0011311225,0.00037040288,0.00044531244],"about_ca_topic_score_codex":0.000014656554,"about_ca_topic_score_gemma":0.000045448905,"teacher_disagreement_score":0.17092325,"about_ca_system_score_codex":0.0000613725,"about_ca_system_score_gemma":0.00003309166,"threshold_uncertainty_score":0.9763728},"labels":[],"label_agreement":null},{"id":"W4406852939","doi":"10.2118/223512-ms","title":"Recent Developments and Utilization of Produced Water in Bakken Well Stimulations","year":2025,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"Environmental science; Computer science; Petroleum engineering; Geology","score_opus":0.012021198445150613,"score_gpt":0.2300780610322248,"score_spread":0.21805686258707419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852939","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":[0.9897775,0.00005852629,0.005743967,0.0016886557,0.000029308221,0.00019449415,3.8112998e-7,0.000034912977,0.002472254],"genre_scores_gemma":[0.9952934,0.00084343296,0.003589291,0.00010137604,0.0000021395313,0.000013838632,0.00001179566,0.0000047063368,0.00014002794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999305,0.000013537573,0.00019145814,0.00026141235,0.00007290865,0.00015567089],"domain_scores_gemma":[0.99980086,0.000008298415,0.000042149954,0.00012304976,0.000005267405,0.000020392516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083458464,0.00010108308,0.00012150991,0.000052124866,0.0000675598,0.000008845695,0.000066333436,0.00013044871,0.00017836064],"category_scores_gemma":[0.000015014303,0.00008789519,0.0000075099933,0.00017487806,0.0002331567,0.00013127153,0.00018753717,0.00011060291,0.000011658308],"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":[0.000046321566,0.00016348092,0.5290149,0.000046884055,0.00001812288,0.000005127452,0.0008126189,0.010966656,0.036673974,0.001202135,0.00005104036,0.42099875],"study_design_scores_gemma":[0.0011857157,0.00010036362,0.7572212,0.000198151,0.000030767325,0.000009602269,0.00057713856,0.02851288,0.14680806,0.055815205,0.009164438,0.0003764626],"about_ca_topic_score_codex":0.000058510843,"about_ca_topic_score_gemma":0.000061292114,"teacher_disagreement_score":0.4206223,"about_ca_system_score_codex":0.000078108045,"about_ca_system_score_gemma":0.0000070477327,"threshold_uncertainty_score":0.35842618},"labels":[],"label_agreement":null},{"id":"W4406853198","doi":"10.2118/223557-ms","title":"Learnings from Over 5 Years of Design, Implementation, and Analysis of the Modified Flowback DFIT, DFIT-FBA","year":2025,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"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 Calgary","funders":"","keywords":"Computer science","score_opus":0.014345826974868001,"score_gpt":0.27060695543493063,"score_spread":0.2562611284600626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406853198","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":[0.7649314,0.00022010526,0.23438837,0.0001354205,0.000042045584,0.00008692983,0.000008336284,0.0000785093,0.00010889512],"genre_scores_gemma":[0.9947022,0.0002083856,0.005016493,0.000017261324,0.0000063815837,0.0000081582375,0.00001656744,0.000007468527,0.000017075112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993551,0.000031978,0.00025408613,0.00015846647,0.00008636903,0.00011399843],"domain_scores_gemma":[0.9995283,0.000111550165,0.00006851236,0.00023239515,0.000041985342,0.000017251246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014475947,0.0001028558,0.00024754315,0.00043264235,0.00003877271,0.000015868356,0.00010908634,0.00015151223,0.00003867404],"category_scores_gemma":[0.000047654754,0.00009646087,0.000045346667,0.0006507384,0.00009234261,0.00007699154,0.000057273337,0.00017201615,3.4043202e-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":[0.000018060695,0.000012614832,0.015582532,0.0000807373,0.00057805376,9.814144e-7,0.0005130143,0.8787758,0.043532778,0.002792951,0.00008347668,0.058029],"study_design_scores_gemma":[0.00063940475,0.000028168175,0.2535281,0.000111488094,0.00033427734,5.189843e-7,0.00033827755,0.6030448,0.13020761,0.011357934,0.00024750765,0.00016190087],"about_ca_topic_score_codex":0.00013845816,"about_ca_topic_score_gemma":0.000030524992,"teacher_disagreement_score":0.27573097,"about_ca_system_score_codex":0.000017543283,"about_ca_system_score_gemma":0.000014015438,"threshold_uncertainty_score":0.39335603},"labels":[],"label_agreement":null}]}