{"meta":{"query_hash":"70a2d8e6620d","filters":{"venue":"Gas Science and Engineering"},"cohort_total":43,"direct_labels_cover":0,"predictions_cover":43,"exported":43,"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/70a2d8e6620d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Gas+Science+and+Engineering"},"results":[{"id":"W4312179630","doi":"10.1016/j.jgsce.2022.204860","title":"Investigation of induced change in pore structure by the reaction of shale with fracturing fluid","year":2022,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Southwest Petroleum University; China Scholarship Council; Sichuan Province Youth Science and Technology Innovation Team; University of Regina","keywords":"Oil shale; Geology; Petroleum engineering; Fracturing fluid; Shale gas; Hydraulic fracturing; Geotechnical engineering; Paleontology","score_opus":0.01461592959272034,"score_gpt":0.1965676515545101,"score_spread":0.18195172196178974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312179630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99955827,0.00010999575,0.00009208516,0.000081836304,0.00003947128,0.000061619925,0.000002912382,0.000019378313,0.000034401208],"genre_scores_gemma":[0.99987626,0.000017704802,0.000057345147,0.000011938852,0.000010504957,0.000013685152,0.0000056320914,0.000005707371,0.000001234977],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994641,0.000005749417,0.00010601588,0.00008060578,0.00024787313,0.00009564049],"domain_scores_gemma":[0.9998295,0.000009020441,0.000024371951,0.00008877903,0.000021025462,0.000027341337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020261577,0.000053855234,0.00007785769,0.00017650172,0.000053335098,0.0000087397,0.000097125645,0.000014645779,0.000004653568],"category_scores_gemma":[0.000011857985,0.000040385625,0.000008435527,0.00083083636,0.000037011796,0.00022709576,0.00002574983,0.00011460296,3.094118e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014597905,0.0000012052565,0.0008801739,0.000023060828,0.0000039751626,4.685102e-7,0.0020270508,0.15539555,0.84114593,0.000017103597,0.0000050804138,0.0004989507],"study_design_scores_gemma":[0.00015708186,0.000045069643,0.0135387825,0.000029185037,0.000008948683,0.000009733739,0.00091028016,0.64248425,0.34258142,0.000024098532,0.00009914294,0.0001120462],"about_ca_topic_score_codex":0.000081974824,"about_ca_topic_score_gemma":0.000018478522,"teacher_disagreement_score":0.4985645,"about_ca_system_score_codex":0.000041265255,"about_ca_system_score_gemma":0.000014058078,"threshold_uncertainty_score":0.1646878},"labels":[],"label_agreement":null},{"id":"W4313423180","doi":"10.1016/j.jgsce.2023.204874","title":"A stochastic method to optimize flowback DFIT (“DFIT-FBA”) test design in tight reservoirs","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Target Ovarian Cancer","keywords":"Computer science; Test (biology); Petroleum engineering; Reliability engineering; Geology; Engineering","score_opus":0.01582829054180289,"score_gpt":0.24796287384466598,"score_spread":0.23213458330286307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313423180","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":[0.18727367,0.00019728232,0.80971646,0.0006954986,0.00032325083,0.0002989782,0.0000047684057,0.0008719967,0.0006180754],"genre_scores_gemma":[0.9453746,0.000061221435,0.054145694,0.000038024522,0.00008502485,0.000061681916,0.0000017282429,0.00004190931,0.00019013454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818945,0.00001494089,0.00024849316,0.00038643403,0.0004270242,0.0007336649],"domain_scores_gemma":[0.99900323,0.0003157186,0.000012342871,0.00030819868,0.000050772313,0.00030974048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672714,0.00021441546,0.0002658602,0.0009788615,0.00012429492,0.00013685893,0.0004083801,0.00007033794,0.000017193595],"category_scores_gemma":[0.0006694206,0.0001984943,0.00004133295,0.0035383953,0.00004878735,0.00028322035,0.00013436974,0.000241488,0.00009904559],"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":[0.0000021615838,0.000004897209,0.000032752716,0.000038898383,0.000008210212,0.000022318498,0.00047919134,0.9814011,0.01608392,0.000005176444,0.00051712577,0.0014042574],"study_design_scores_gemma":[0.00014892001,0.000028622484,0.0013122098,0.000098631186,0.000009650668,0.000009544417,0.000081455604,0.9944857,0.0029174644,0.000030652485,0.00061885134,0.00025834254],"about_ca_topic_score_codex":0.00004947452,"about_ca_topic_score_gemma":0.000012360347,"teacher_disagreement_score":0.7581009,"about_ca_system_score_codex":0.00013270875,"about_ca_system_score_gemma":0.000043136683,"threshold_uncertainty_score":0.8094362},"labels":[],"label_agreement":null},{"id":"W4315866094","doi":"10.1016/j.jgsce.2022.204872","title":"Dual effects of retained fracturing fluid on methane diffusion in shale containing adsorbed methane","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China National Petroleum Corporation","keywords":"Methane; Oil shale; Shale gas; Diffusion; Fracturing fluid; Adsorption; Petroleum engineering; Dual (grammatical number); Chemical engineering; Chemistry; Geology; Environmental science; Materials science; Environmental chemistry; Organic chemistry; Thermodynamics; Engineering; Physics","score_opus":0.008935989030844941,"score_gpt":0.22105344343657493,"score_spread":0.21211745440573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315866094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981686,0.00019250876,0.0008019098,0.000056476387,0.00017691647,0.000101987505,6.8400504e-7,0.00023277277,0.00026815082],"genre_scores_gemma":[0.9995144,0.00021508725,0.00016752082,0.000013524706,0.000034270906,0.000014545928,0.000003192852,0.00001851116,0.000018951574],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988049,0.000013582082,0.00022529637,0.0002165109,0.0003833277,0.00035633487],"domain_scores_gemma":[0.999509,0.00015160863,0.000021479857,0.00016772676,0.000032725406,0.00011745291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918488,0.00014344307,0.00025337946,0.0008473382,0.000038693317,0.000026285425,0.00013123635,0.000055291468,0.000004961127],"category_scores_gemma":[0.00039936407,0.00013171996,0.00003855411,0.0017582964,0.00004695258,0.00023360096,0.00005869751,0.00015630679,0.0000074667546],"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":[0.0000064392034,0.000006464422,0.00018039874,0.0001216609,0.000011381913,0.000028295284,0.0010457595,0.4044095,0.5924676,0.000051724986,0.0000059065014,0.001664878],"study_design_scores_gemma":[0.0003587664,0.000054411965,0.0035676686,0.00013518539,0.000009111657,0.0000022750787,0.0001945545,0.8075124,0.18796404,0.000018996088,0.000039942082,0.00014262143],"about_ca_topic_score_codex":0.000022631202,"about_ca_topic_score_gemma":0.0000073916513,"teacher_disagreement_score":0.40450355,"about_ca_system_score_codex":0.00005771939,"about_ca_system_score_gemma":0.000020122186,"threshold_uncertainty_score":0.5371384},"labels":[],"label_agreement":null},{"id":"W4317582052","doi":"10.1016/j.jgsce.2023.204899","title":"Experimental study on the effect of salt crystallization on multi-scale transportation of shale gas","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"China Scholarship Council; Sichuan Province Youth Science and Technology Innovation Team; Sichuan Provincial Youth Science and Technology Fund; University of Regina","keywords":"Shale gas; Crystallization; Oil shale; Petroleum engineering; Salt (chemistry); Scale (ratio); Geology; Materials science; Chemical engineering; Environmental science; Mineralogy; Geochemistry; Chemistry; Engineering; Waste management; Physics; Organic chemistry","score_opus":0.014359137803595608,"score_gpt":0.2441549402464486,"score_spread":0.229795802442853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317582052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784154,0.000018018745,0.001751451,0.00001722777,0.00006372657,0.00015330546,0.0000021825053,0.00007823854,0.000074295465],"genre_scores_gemma":[0.9999061,0.0000122968195,0.00003047752,0.0000023230737,0.000008873648,0.000021527783,0.0000032255234,0.000008912084,0.0000062422787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993419,0.000009620466,0.00013719515,0.000108193555,0.00029030364,0.00011279732],"domain_scores_gemma":[0.9997732,0.000042369036,0.00001705239,0.000112459486,0.000020199592,0.000034698864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003452974,0.0000786407,0.000109124114,0.00020263645,0.000049885384,0.000013501926,0.00009362126,0.000017251437,0.0000047158187],"category_scores_gemma":[0.000026956299,0.00005530884,0.000026613901,0.00080656743,0.00003959603,0.000096972195,0.000005657205,0.000047660258,0.0000027861477],"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":[0.0000037757422,0.000019397197,0.00082378543,0.000022553948,0.000007823219,6.4471055e-7,0.0018825216,0.60078794,0.39633918,0.000016926744,0.0000068530844,0.000088575965],"study_design_scores_gemma":[0.00018624679,0.00024721064,0.006477732,0.000025403937,0.0000077796985,1.13402464e-7,0.0007071426,0.61583227,0.37645796,7.841604e-7,0.000005732009,0.000051630333],"about_ca_topic_score_codex":0.000007338785,"about_ca_topic_score_gemma":0.0000048627153,"teacher_disagreement_score":0.019881234,"about_ca_system_score_codex":0.000018744699,"about_ca_system_score_gemma":0.000004556734,"threshold_uncertainty_score":0.2255429},"labels":[],"label_agreement":null},{"id":"W4317757015","doi":"10.1016/j.jgsce.2023.204900","title":"Embedment of proppants with non-uniform particle sizes into rock fracture surface","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Beijing Science and Technology Planning Project; National Key Research and Development Program of China; China Scholarship Council","keywords":"Embedment; Materials science; Fracture (geology); Particle (ecology); Geotechnical engineering; Composite material; Geology","score_opus":0.0052133610467817015,"score_gpt":0.2026085360178188,"score_spread":0.19739517497103712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317757015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99200344,0.00008923856,0.007294843,0.0001314033,0.000056643123,0.00006382047,7.4115496e-7,0.00019968316,0.0001601662],"genre_scores_gemma":[0.9987827,0.00009997166,0.0010185438,0.000008407312,0.000020880141,0.0000051396105,8.9523513e-7,0.00001429334,0.000049188304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990418,0.0000017888601,0.00012805314,0.00016006189,0.00033727687,0.00033102534],"domain_scores_gemma":[0.9996151,0.000020828262,0.000015362977,0.00017440584,0.000049423244,0.00012491639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026019462,0.00011581635,0.00015127228,0.00010575112,0.00008899314,0.000042447224,0.00015658425,0.000032655564,0.0000068187774],"category_scores_gemma":[0.000028985947,0.00008500782,0.000020898418,0.0009777577,0.000049362217,0.00023307702,0.00004453794,0.000099781195,0.000012763111],"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":[0.0000017155537,0.0000041415515,0.00054603425,0.00010022085,0.000015301559,0.000004944791,0.00080718676,0.95352674,0.044528045,0.000002050724,0.00006831695,0.00039528936],"study_design_scores_gemma":[0.00011031678,0.000029484603,0.0039181025,0.00005960583,0.000011357948,0.0000031337806,0.00019821092,0.8916482,0.10347391,0.0000068914123,0.00041921702,0.00012157534],"about_ca_topic_score_codex":0.00004408193,"about_ca_topic_score_gemma":0.00000840692,"teacher_disagreement_score":0.06187856,"about_ca_system_score_codex":0.000036767302,"about_ca_system_score_gemma":0.000026002976,"threshold_uncertainty_score":0.34665182},"labels":[],"label_agreement":null},{"id":"W4319002075","doi":"10.1016/j.jgsce.2023.204914","title":"Study on gas transport behavior in coal matrix based on free gas density gradient diffusion: Comparison with fick model","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Diffusion; Isothermal process; Methane; Adsorption; Knudsen diffusion; Thermodynamics; Chemistry; Coalbed methane; Desorption; Gaseous diffusion; Helium; Coal; Mechanics; Coal mining; Physical chemistry; Physics; Knudsen number","score_opus":0.025320924509075995,"score_gpt":0.2343165272578216,"score_spread":0.2089956027487456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319002075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99604267,0.000012573748,0.0031258035,0.000042483054,0.00012567517,0.00029590906,0.0000035631933,0.0002551315,0.00009620244],"genre_scores_gemma":[0.99974006,0.00001239284,0.00015112941,0.0000097410075,0.000015853457,0.00003458449,0.000004034711,0.000020274605,0.0000119076885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988037,0.0000041031353,0.00016622522,0.00026515278,0.0004268054,0.00033406122],"domain_scores_gemma":[0.9996049,0.000015894035,0.000011632753,0.00023799617,0.00002707668,0.00010254816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025379704,0.00016718214,0.00017150879,0.00029039397,0.00010852118,0.0000405964,0.00016317976,0.000032307176,0.0000025337206],"category_scores_gemma":[0.000014189013,0.00013645439,0.000019031262,0.00064709305,0.000039212828,0.000120634795,0.000028147617,0.00015616877,0.000003934979],"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":[0.000022529264,0.000076043674,0.033559524,0.000023380355,0.0000012926,0.000029703528,0.0006338421,0.9630677,0.0021402256,0.000018954031,0.000028085846,0.00039869652],"study_design_scores_gemma":[0.0003936625,0.00021970386,0.16355,0.000053606982,0.000009258447,0.0000018968302,0.00024684734,0.8347355,0.0006240218,0.000002900108,0.000015123727,0.00014744287],"about_ca_topic_score_codex":0.000040255778,"about_ca_topic_score_gemma":0.00013382606,"teacher_disagreement_score":0.12999049,"about_ca_system_score_codex":0.00009365384,"about_ca_system_score_gemma":0.000021699474,"threshold_uncertainty_score":0.5564448},"labels":[],"label_agreement":null},{"id":"W4360602049","doi":"10.1016/j.jgsce.2023.204954","title":"Linking sedimentary properties to mechanical characteristics of carbonate reservoir rock: An example from central Persian Gulf","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Iran National Science Foundation","keywords":"Geology; Dolomitization; Petrophysics; Diagenesis; Carbonate; Anhydrite; Cementation (geology); Carbonate rock; Mineralogy; Sedimentary rock; Porosity; Geochemistry; Geotechnical engineering; Cement; Geomorphology; Facies; Materials science; Composite material; Gypsum","score_opus":0.02757962620014517,"score_gpt":0.21208502208355784,"score_spread":0.18450539588341267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360602049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969652,0.000044746856,0.002203114,0.00012128097,0.00026576978,0.000080590755,0.000008097708,0.00025257756,0.00005858927],"genre_scores_gemma":[0.9991562,0.00007516016,0.00056347024,0.00003144624,0.00011023158,0.000009957663,0.00001983303,0.000019738822,0.000013975105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987391,0.0000075303687,0.00021996154,0.00024662516,0.00038865893,0.00039807265],"domain_scores_gemma":[0.99947757,0.000014497297,0.000015936203,0.0002161408,0.0000541867,0.00022167883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030283394,0.0001302753,0.00019305357,0.00030492767,0.00009641814,0.00007409473,0.00025469856,0.00004422588,0.000010878423],"category_scores_gemma":[0.000031327218,0.00012032382,0.00003124321,0.0009270756,0.0000297654,0.00034442448,0.000104453444,0.000113371105,0.0000071066024],"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":[0.000005523349,0.000006982449,0.00024354948,0.000039665687,0.00002145126,0.000006791422,0.0043122848,0.5618038,0.43283477,0.0000512207,0.000024031202,0.00064991246],"study_design_scores_gemma":[0.00009467182,0.000028123644,0.0015669223,0.00006255242,0.000013684689,9.81962e-7,0.0007883677,0.9701008,0.026776724,0.000028714016,0.00037575254,0.00016271083],"about_ca_topic_score_codex":0.00039192135,"about_ca_topic_score_gemma":0.000043146156,"teacher_disagreement_score":0.40829697,"about_ca_system_score_codex":0.0000567789,"about_ca_system_score_gemma":0.000031115527,"threshold_uncertainty_score":0.4906663},"labels":[],"label_agreement":null},{"id":"W4366124635","doi":"10.1016/j.jgsce.2023.204981","title":"Technology and policy options for decarbonizing the natural gas industry: A critical review","year":2023,"lang":"en","type":"review","venue":"Gas Science and Engineering","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Futures contract; Greenhouse gas; Fossil fuel; Natural gas; Business; Natural resource economics; Supply chain; Environmental economics; Environmental science; Economics; Engineering; Waste management; Finance","score_opus":0.05067422576573533,"score_gpt":0.33572212082960096,"score_spread":0.28504789506386563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366124635","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":[0.00010301753,0.99765897,0.000011737753,0.0014790198,0.00020271148,0.00026775117,0.0000062101717,0.000113875496,0.00015670637],"genre_scores_gemma":[0.0003726845,0.9983859,0.000611237,0.00008548449,0.00021853657,0.00017916891,0.0000039711254,0.00003268178,0.00011030031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998761,0.000011109486,0.00023632131,0.0003552984,0.00017523037,0.00046106603],"domain_scores_gemma":[0.99942964,0.00017137502,0.00003733188,0.00023904766,0.00002094673,0.000101668826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657145,0.00023139305,0.0005179809,0.00038598612,0.00027201523,0.00009431863,0.0003123088,0.00020263996,0.0000026276605],"category_scores_gemma":[0.0010309895,0.00015936804,0.00007087947,0.001319496,0.0005107811,0.00013771348,0.00023655882,0.00046956,0.000008733514],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.8509967e-7,0.0000053864187,0.0000012431303,0.012502027,0.000024044733,0.000005913118,0.000047742033,0.00003177589,0.000024891391,0.062986545,0.00011847044,0.9242517],"study_design_scores_gemma":[0.000035908062,0.000020872818,0.0000043911996,0.013339439,0.00016547968,0.00013723296,0.000048732032,0.00061069237,0.0000037688553,0.0006210198,0.98478603,0.0002264278],"about_ca_topic_score_codex":0.00004252178,"about_ca_topic_score_gemma":0.00000743598,"teacher_disagreement_score":0.98466754,"about_ca_system_score_codex":0.00009464091,"about_ca_system_score_gemma":0.0000779154,"threshold_uncertainty_score":0.649884},"labels":[],"label_agreement":null},{"id":"W4385298940","doi":"10.1016/j.jgsce.2023.205076","title":"Geothermal effects on CO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si16.svg\" display=\"inline\" id=\"d1e1338\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> dissolution kinetics in brine: A non-dimensional model for underground storage in salt caverns","year":2023,"lang":"lv","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Agence Nationale de la Recherche","keywords":"Dissolution; Brine; Geothermal gradient; Kinetics; Chemistry; Methane; Mineralogy; Thermodynamics; Geology; Physics; Physical chemistry; Organic chemistry","score_opus":0.014781105368032808,"score_gpt":0.2417200155771864,"score_spread":0.22693891020915358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385298940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848083,0.000074315874,0.0033731181,0.00052297406,0.0009333017,0.000067198336,0.00008306261,0.00007949747,0.010058222],"genre_scores_gemma":[0.9975303,0.00018099579,0.0010201781,0.000344696,0.0002443537,0.00022892044,0.00016280277,0.00007654356,0.00021123484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670875,0.00004602464,0.00052460085,0.00076112675,0.000926038,0.0010334584],"domain_scores_gemma":[0.9984817,0.0004504496,0.0002442064,0.0004697085,0.000029667443,0.0003242854],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009610669,0.0003133373,0.00014627227,0.0002785806,0.0005079015,0.0003347089,0.0004897184,0.00037464112,0.0027563754],"category_scores_gemma":[0.00042602632,0.0004690888,0.00019428165,0.00075154507,0.0005139809,0.00085644826,0.00043762772,0.0005271253,0.00035242504],"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":[0.00022239212,0.00019032248,0.000045775803,0.0003435383,0.000058451915,0.00028750364,0.001657799,0.6372573,0.05715662,0.296923,0.0045897,0.0012676166],"study_design_scores_gemma":[0.00055612525,0.00045094156,0.0023732202,0.00035555087,0.00005633357,0.00012787853,0.00028348065,0.89675933,0.09828472,0.000035703826,0.00031748044,0.00039920455],"about_ca_topic_score_codex":0.0009396343,"about_ca_topic_score_gemma":0.0014858637,"teacher_disagreement_score":0.2968873,"about_ca_system_score_codex":0.00006035337,"about_ca_system_score_gemma":0.00026608954,"threshold_uncertainty_score":0.99977607},"labels":[],"label_agreement":null},{"id":"W4385612894","doi":"10.1016/j.jgsce.2023.205082","title":"Understanding the interactions of NaClO oxidant with coal for intensified hydraulic fracturing effectiveness","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":9,"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":"Sichuan Province Youth Science and Technology Innovation Team; Canada First Research Excellence Fund; China Scholarship Council; China Postdoctoral Science Foundation","keywords":"Hydraulic fracturing; Coal; Anthracite; Coalbed methane; Materials science; Dissolution; Wetting; Permeability (electromagnetism); Bituminous coal; Context (archaeology); Petroleum engineering; Environmental science; Coal mining; Waste management; Geology; Chemical engineering; Composite material; Chemistry; Engineering","score_opus":0.04914908891827838,"score_gpt":0.23025749024472367,"score_spread":0.1811084013264453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385612894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.792971,0.000039823473,0.2062466,0.00005778052,0.0002299124,0.0001552012,0.0000012025519,0.00014092383,0.00015754206],"genre_scores_gemma":[0.99980706,0.000025032314,0.00010154581,0.0000057212733,0.000022588149,0.00002079892,8.350216e-7,0.000011959566,0.000004450381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952304,0.0000026846258,0.00007955721,0.0000985896,0.000117950476,0.0001781757],"domain_scores_gemma":[0.9997156,0.00011579035,0.000011226733,0.00008177592,0.000044532095,0.00003107107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030245376,0.00007053742,0.00008014154,0.00012167524,0.00013652482,0.00004273151,0.00007990475,0.0000126318255,8.668409e-7],"category_scores_gemma":[0.00006365051,0.000047007725,0.000014807231,0.00042780573,0.00007046031,0.00019150556,0.000028883356,0.00006362897,6.2033513e-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":[0.000012968248,0.0000019609981,0.00013669727,0.00015927468,0.000012785053,8.7809894e-7,0.00054711895,0.8899623,0.107704066,0.00062887865,0.000030669395,0.0008023642],"study_design_scores_gemma":[0.00012875538,0.000033866785,0.004876904,0.00014154399,0.000008923411,0.000010752264,0.000736352,0.9678953,0.025641399,0.00008873799,0.00035102968,0.000086394524],"about_ca_topic_score_codex":0.000007757891,"about_ca_topic_score_gemma":0.0000058054925,"teacher_disagreement_score":0.20683604,"about_ca_system_score_codex":0.00006953345,"about_ca_system_score_gemma":0.000012310234,"threshold_uncertainty_score":0.19169195},"labels":[],"label_agreement":null},{"id":"W4386424770","doi":"10.1016/j.jgsce.2023.205108","title":"An improved dual-porosity dual-permeability modeling workflow for representing nonplanar hydraulic fractures","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computer science; Fracture (geology); Permeability (electromagnetism); Workflow; Porosity; Point (geometry); Dual (grammatical number); Mechanics; Simulation; Biological system; Geology; Geometry; Physics; Geotechnical engineering; Mathematics; Chemistry","score_opus":0.011628268784028025,"score_gpt":0.24509048066217357,"score_spread":0.23346221187814553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386424770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954612,0.0001501022,0.043382738,0.0001698621,0.00033265204,0.0001930884,0.000007488451,0.0010191889,0.00013286003],"genre_scores_gemma":[0.9967734,0.00008426746,0.0027397757,0.00002999534,0.000251083,0.000044874043,0.000015220774,0.00004007001,0.000021314418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979707,0.000009579748,0.00030048264,0.00055419316,0.00037215542,0.00079291617],"domain_scores_gemma":[0.9989745,0.0000923071,0.000026318497,0.0005077867,0.00010535451,0.00029371993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013772991,0.0002474037,0.0002809381,0.00037931663,0.00043719646,0.00024962088,0.00025813832,0.00010820864,0.000006112503],"category_scores_gemma":[0.00035332123,0.0002313562,0.00008839888,0.0010616861,0.00008677555,0.0006431619,0.00008246311,0.00024811414,0.000006220258],"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":[0.0000032518205,0.000007773078,0.00020795153,0.000101788304,0.000018838287,0.0000059090694,0.0003943969,0.9367724,0.05952447,0.000003410855,0.00007419439,0.0028856015],"study_design_scores_gemma":[0.00014772764,0.00002046283,0.0017050572,0.00003632352,0.000022421546,0.000008406886,0.00011275496,0.9898293,0.007374642,0.00010974779,0.0003423841,0.0002907697],"about_ca_topic_score_codex":0.000099607016,"about_ca_topic_score_gemma":0.000022651828,"teacher_disagreement_score":0.053056885,"about_ca_system_score_codex":0.00008415907,"about_ca_system_score_gemma":0.000036414818,"threshold_uncertainty_score":0.9434432},"labels":[],"label_agreement":null},{"id":"W4386475310","doi":"10.1016/j.jgsce.2023.205112","title":"Modeling two-phase flow behaviour in a shale gas reservoir with complex fracture networks and flow dynamics","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slippage; Mechanics; Relative permeability; Permeability (electromagnetism); Reservoir simulation; Tight gas; Fluid dynamics; Darcy's law; Petroleum engineering; Fracture (geology); Oil shale; Geotechnical engineering; Materials science; Porous medium; Geology; Hydraulic fracturing; Porosity; Chemistry; Physics; Composite material","score_opus":0.0106554701881456,"score_gpt":0.23575879225363658,"score_spread":0.22510332206549097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386475310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87149405,0.00020915653,0.12755844,0.0001710976,0.00007849644,0.0000896105,0.000005337996,0.00030242687,0.00009139571],"genre_scores_gemma":[0.9971434,0.0002058575,0.0024759008,0.000021956628,0.000069286965,0.000013020562,0.000022571174,0.000034435565,0.000013605722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851686,0.000006951152,0.00019871983,0.00034355675,0.0003266193,0.00060730526],"domain_scores_gemma":[0.9994796,0.00003212702,0.000012375036,0.0002134064,0.00004696292,0.00021551245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004956991,0.00021927815,0.0002468567,0.000465292,0.00015792962,0.00016363728,0.00019722621,0.00007487061,0.000007692025],"category_scores_gemma":[0.000037056132,0.00018969044,0.000027492826,0.0013606977,0.00008193016,0.00034313952,0.00008729578,0.00036108354,0.0000025515394],"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":[0.0000048959637,0.000007643094,0.0007088778,0.000042321994,0.000010546813,0.000053098407,0.00028926157,0.99659514,0.00023820139,0.0000018543676,0.00003717667,0.0020109788],"study_design_scores_gemma":[0.00048251753,0.00002554387,0.0013786504,0.00010320853,0.000016137303,0.000025961615,0.0001766774,0.99746174,0.000036187495,0.000009510377,0.000036142203,0.00024773524],"about_ca_topic_score_codex":0.0001809998,"about_ca_topic_score_gemma":0.00043563984,"teacher_disagreement_score":0.12564932,"about_ca_system_score_codex":0.00009878754,"about_ca_system_score_gemma":0.000022889593,"threshold_uncertainty_score":0.7735352},"labels":[],"label_agreement":null},{"id":"W4386616216","doi":"10.1016/j.jgsce.2023.205113","title":"Long-term production forecast in tight and shale reservoirs: Adapting probability density functions for decline curve analysis","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Term (time); Oil shale; Production (economics); Environmental science; Geology; Econometrics; Mathematics; Economics; Physics; Paleontology","score_opus":0.02936834754255344,"score_gpt":0.24483960710261632,"score_spread":0.21547125956006288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386616216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814828,0.00008752524,0.017584948,0.00026025987,0.00013007272,0.00020103807,0.0000036470205,0.00021792838,0.000031765885],"genre_scores_gemma":[0.99887,0.00010400232,0.00082213903,0.0000043822406,0.00006166549,0.00006004259,0.00001847466,0.0000111432555,0.000048113838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888664,0.000008505438,0.00022196295,0.00034130886,0.00022128563,0.0003202684],"domain_scores_gemma":[0.9995348,0.000044465083,0.000019684978,0.00018899217,0.00010266883,0.000109432796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011664224,0.00011970064,0.00019223563,0.0007704563,0.00017476635,0.00009587086,0.0000978364,0.00004422788,0.0000030770489],"category_scores_gemma":[0.00034373524,0.00011427639,0.000048124966,0.0036161356,0.00007674063,0.0004718104,0.000073167736,0.00010396159,0.0000021366855],"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":[0.0000050233602,0.000009891113,0.09657966,0.00013517874,0.000052046522,0.000002244708,0.0004364138,0.89423597,0.0068128575,0.00002474984,0.000029960518,0.0016760177],"study_design_scores_gemma":[0.000098740886,0.000012191164,0.12559876,0.000021119427,0.000053038642,0.000002500835,0.00008502671,0.8731871,0.0007162403,0.000058465244,0.000042562686,0.00012424825],"about_ca_topic_score_codex":0.000023422808,"about_ca_topic_score_gemma":0.0009195065,"teacher_disagreement_score":0.02901909,"about_ca_system_score_codex":0.00007604337,"about_ca_system_score_gemma":0.000020269252,"threshold_uncertainty_score":0.4660056},"labels":[],"label_agreement":null},{"id":"W4386689239","doi":"10.1016/j.jgsce.2023.205116","title":"Estimating hardness and Young's modulus of shale using drill cuttings: Implications for hydraulic fracturing in shale gas reservoir development","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Uniwersytet Jagielloński w Krakowie; University of Engineering and Technology, Lahore; University of Saskatchewan","keywords":"Oil shale; Modulus; Indentation hardness; Young's modulus; Hydraulic fracturing; Geology; Drill cuttings; Brittleness; Geotechnical engineering; Materials science; Mineralogy; Composite material; Drilling; Metallurgy; Drilling fluid; Microstructure","score_opus":0.021685599118263472,"score_gpt":0.24698798417949053,"score_spread":0.22530238506122705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386689239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9361658,0.00019613846,0.06263055,0.000042985244,0.000389626,0.0001840473,0.0000039051147,0.00029713917,0.00008981909],"genre_scores_gemma":[0.9594142,0.00004401829,0.040371653,0.0000053108215,0.000056984143,0.00004720116,0.0000032865335,0.000039594895,0.000017758986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864095,0.0000025766947,0.00033000586,0.0003062939,0.0001800283,0.0005401281],"domain_scores_gemma":[0.99957436,0.000045973975,0.000034281707,0.00015562506,0.00006564879,0.0001241006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006246775,0.00018657788,0.00022601949,0.00050588883,0.00017250032,0.00008035435,0.0001872799,0.000056749144,7.384151e-7],"category_scores_gemma":[0.00018537784,0.0002092404,0.000022914484,0.00094165385,0.000059555652,0.00038893698,0.00009583079,0.00012654833,0.0000012085738],"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":[8.984645e-7,0.0000037286695,0.002541214,0.00036124443,0.0000068063655,0.0000012549539,0.001058416,0.9440727,0.04832023,0.00004859745,0.000022207567,0.0035626777],"study_design_scores_gemma":[0.00016325136,0.000007913829,0.013644034,0.00029504436,0.000005816756,0.0000168152,0.00009562021,0.97530556,0.0098898895,0.000092007554,0.00026062576,0.00022339752],"about_ca_topic_score_codex":0.000030217898,"about_ca_topic_score_gemma":0.000003937029,"teacher_disagreement_score":0.03843034,"about_ca_system_score_codex":0.000113368726,"about_ca_system_score_gemma":0.00004342756,"threshold_uncertainty_score":0.8532576},"labels":[],"label_agreement":null},{"id":"W4387116481","doi":"10.1016/j.jgsce.2023.205133","title":"Pseudo-correlation problem and its solution for the transfer forecasting of short-term natural gas loads","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Hunan Association for Science and Technology; Natural Science Foundation of Hebei Province; China Postdoctoral Science Foundation","keywords":"Correlation; Term (time); Computer science; Correlation coefficient; Transfer (computing); Data mining; Econometrics; Machine learning; Mathematics","score_opus":0.02000942324844006,"score_gpt":0.21179426327745082,"score_spread":0.19178484002901075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387116481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766214,0.0006646691,0.021738544,0.000046187197,0.00043776588,0.00016619325,0.0000035694775,0.00016307917,0.00015858593],"genre_scores_gemma":[0.998926,0.00014480036,0.00080216327,0.0000028262236,0.00006952183,0.000022799053,0.0000031765337,0.000015075757,0.000013646288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992422,0.0000019910349,0.00015296855,0.0001418936,0.00015656526,0.00030441134],"domain_scores_gemma":[0.99972886,0.00010133118,0.000008406568,0.000062962565,0.00005092968,0.000047487036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045591278,0.000105451436,0.00009493856,0.00013663592,0.0001782294,0.000045082183,0.0000932114,0.000035573266,7.825824e-7],"category_scores_gemma":[0.00005460328,0.00008450949,0.000024066454,0.00048039402,0.000048840997,0.0003291613,0.0000252179,0.000097364486,4.0838256e-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":[0.0000048674765,0.0000021974847,0.0005241458,0.00030452976,0.0000145012955,0.0000011457948,0.0014091585,0.6978706,0.24878873,0.0013664365,0.000027580601,0.049686108],"study_design_scores_gemma":[0.00009443036,0.000019446648,0.0016296016,0.00010149744,0.000011654698,0.000017442038,0.000033166256,0.9907799,0.0070964517,0.000038914917,0.00007556603,0.00010193781],"about_ca_topic_score_codex":0.0000026890439,"about_ca_topic_score_gemma":0.0000047749627,"teacher_disagreement_score":0.2929093,"about_ca_system_score_codex":0.000021182293,"about_ca_system_score_gemma":0.000011747196,"threshold_uncertainty_score":0.3446197},"labels":[],"label_agreement":null},{"id":"W4388289388","doi":"10.1016/j.jgsce.2023.205161","title":"Deep neural network model for estimating montney shale gas production using reservoir, geomechanics, and hydraulic fracture treatment parameters","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Hydraulic fracturing; Geomechanics; Petroleum engineering; Oil shale; Reservoir simulation; Tight gas; Shale gas; Directional drilling; Unconventional oil; Artificial neural network; Geology; Drilling; Engineering; Geotechnical engineering; Computer science; Machine learning","score_opus":0.0229920306491279,"score_gpt":0.2390871679340169,"score_spread":0.216095137284889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388289388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.717241,0.00037819357,0.2812348,0.00024750055,0.00033079786,0.00020409052,0.0000017680993,0.00035364306,0.000008233375],"genre_scores_gemma":[0.96138567,0.00017074175,0.038100194,0.000024244571,0.00020919039,0.000043800483,0.0000068381305,0.00003759364,0.000021739657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985288,0.000005486971,0.00019893187,0.0003976379,0.0002363648,0.00063278293],"domain_scores_gemma":[0.99946237,0.00005092939,0.000029807095,0.0002276635,0.000049113532,0.00018011032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004490146,0.00022605325,0.000231946,0.00025269992,0.00037987504,0.00015049704,0.00013480464,0.000072063354,7.654816e-7],"category_scores_gemma":[0.00014775986,0.00020093923,0.000052694773,0.00072775636,0.000048738406,0.000399377,0.00005526163,0.00012964741,0.0000010682145],"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":[0.0000028205889,0.0000034321854,0.00003608704,0.000082274,0.00002370991,0.0000030302024,0.00049265905,0.9930773,0.0020942627,0.000002775464,0.000065955355,0.004115745],"study_design_scores_gemma":[0.00013172058,0.000029282826,0.00006065319,0.000049625716,0.000043393826,0.00001674246,0.00006701822,0.9983339,0.0007788218,0.00018870815,0.00008270636,0.00021745845],"about_ca_topic_score_codex":0.00006950766,"about_ca_topic_score_gemma":0.000017201097,"teacher_disagreement_score":0.2441447,"about_ca_system_score_codex":0.0001355307,"about_ca_system_score_gemma":0.000019812154,"threshold_uncertainty_score":0.81940645},"labels":[],"label_agreement":null},{"id":"W4389152068","doi":"10.1016/j.jgsce.2023.205182","title":"Storage capacity comparison of hydrogen and carbon dioxide in heterogeneous aquifers","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Computer Modelling Group; University of Texas at Austin","keywords":"Aquifer; Dissolution; Carbon dioxide; Carbon sequestration; Mass transfer; Injection well; Environmental science; Mechanics; Viscous fingering; Soil science; Materials science; Petroleum engineering; Groundwater; Chemistry; Geotechnical engineering; Geology; Environmental engineering; Porous medium; Composite material; Porosity; Physics","score_opus":0.018845638096084003,"score_gpt":0.23990165730294946,"score_spread":0.22105601920686546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389152068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990577,0.000013357229,0.000021448574,0.0000713223,0.0000481932,0.000040238854,5.5309755e-7,0.000024491985,0.00072268024],"genre_scores_gemma":[0.9998532,0.00001210371,0.000098462006,0.000009719688,0.0000038537896,0.0000030979852,2.6227409e-7,0.0000016835781,0.000017618671],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995005,0.0000044470407,0.000089439396,0.00013009601,0.00013355378,0.00014195935],"domain_scores_gemma":[0.9998555,0.000016456404,0.00001544929,0.000059843696,0.0000039610977,0.000048742368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021445012,0.000045144297,0.000065921464,0.00007475318,0.0000407764,0.000009432557,0.000058431735,0.00001623693,0.000015393536],"category_scores_gemma":[0.00005009911,0.000043391166,0.00000647016,0.00038093733,0.00015613179,0.000105304185,0.000065072316,0.000052137788,0.0000038752437],"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":[0.0000023972816,0.000014354821,0.13696095,0.000009648936,0.0000015554349,0.000006830795,0.0018206699,0.32312325,0.53645754,0.00007501808,0.000011885997,0.0015159387],"study_design_scores_gemma":[0.00011073464,0.000057271358,0.24215569,0.000016500524,0.0000028051172,0.000022679122,0.00029243954,0.7076853,0.049045857,0.000087718625,0.00038907607,0.00013393503],"about_ca_topic_score_codex":0.00036756077,"about_ca_topic_score_gemma":0.00019690991,"teacher_disagreement_score":0.48741168,"about_ca_system_score_codex":0.000043824457,"about_ca_system_score_gemma":0.0000048792676,"threshold_uncertainty_score":0.17694403},"labels":[],"label_agreement":null},{"id":"W4389285977","doi":"10.1016/j.jgsce.2023.205186","title":"A numerical study of complex fractures propagation path in naturally fractured gas shale: Reorientation, deflection and convergence","year":2023,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Sichuan Province Science and Technology Support Program; Department of Science and Technology of Sichuan Province; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation; National Natural Science Foundation of China","keywords":"Hydraulic fracturing; Geology; Mechanics; Geotechnical engineering","score_opus":0.009586442571259231,"score_gpt":0.2496678244110748,"score_spread":0.24008138183981556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389285977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676085,0.00009996244,0.002650478,0.00004927373,0.00012175801,0.0001355456,6.6917306e-7,0.00013474002,0.000046738853],"genre_scores_gemma":[0.9996462,0.00007477678,0.00021568795,0.000008200672,0.000023518423,0.000014580643,0.000003240153,0.000009328666,0.000004492546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905354,0.000010343488,0.00019778503,0.00020950915,0.00031224088,0.00021656588],"domain_scores_gemma":[0.9996969,0.00003807674,0.000026555119,0.00010611926,0.000061555766,0.00007080582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032649504,0.00010886021,0.00015294869,0.00037512515,0.000085575106,0.000044121593,0.00009548286,0.00003906551,0.0000057717257],"category_scores_gemma":[0.00013012673,0.00009559854,0.000013477102,0.0014105748,0.000048596154,0.00026443493,0.000027546203,0.00014671248,0.0000014228191],"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":[0.000004507627,0.00001757979,0.00938871,0.000075281256,0.000011275603,0.000007398202,0.0035136505,0.9558164,0.029108973,0.000005564691,0.000040822128,0.0020098493],"study_design_scores_gemma":[0.00016133668,0.000041201536,0.30306694,0.000024016857,0.000006788046,0.0000042819456,0.00034767555,0.6941112,0.002080337,0.00002043557,0.00004196618,0.00009380466],"about_ca_topic_score_codex":0.00017391916,"about_ca_topic_score_gemma":0.000027752068,"teacher_disagreement_score":0.29367822,"about_ca_system_score_codex":0.00004243655,"about_ca_system_score_gemma":0.000015982874,"threshold_uncertainty_score":0.38983953},"labels":[],"label_agreement":null},{"id":"W4391294511","doi":"10.1016/j.jgsce.2024.205225","title":"Plugging methods for underground gas extraction boreholes in coal seams: A review of processes, challenges and strategies","year":2024,"lang":"en","type":"review","venue":"Gas Science and Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Anhui Province; Key Scientific Research Project of Colleges and Universities in Henan Province; Henan Provincial Science and Technology Research Project; Natural Science Foundation of Beijing Municipality; Zhengzhou University of Light Industry; National Natural Science Foundation of China","keywords":"Borehole; Coal mining; Petroleum engineering; Extraction (chemistry); Methane; Coal; Greenhouse gas; Mining engineering; Environmental science; Engineering; Waste management; Geology; Geotechnical engineering; Chemistry","score_opus":0.08175677868189687,"score_gpt":0.37598711992535977,"score_spread":0.2942303412434629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391294511","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":[0.000013644441,0.9912401,0.007851488,0.0000251336,0.000184512,0.00041124946,0.0000040299715,0.000091121954,0.00017873572],"genre_scores_gemma":[0.0002826212,0.9968163,0.0027059813,0.00000274472,0.000047428824,0.00010228949,0.000004987051,0.000033229597,0.0000044426433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898046,0.000011858448,0.00035119485,0.0002841851,0.00013442668,0.00023786725],"domain_scores_gemma":[0.9996293,0.00010086509,0.000045293196,0.00011009073,0.000063137624,0.00005129268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009196586,0.00023585746,0.00059802504,0.00029094802,0.000036376776,0.000103114064,0.00011526933,0.000081554914,9.003477e-7],"category_scores_gemma":[0.00016096773,0.00019025675,0.000044851793,0.00048601607,0.00006424796,0.00045671588,0.00005000885,0.0001707652,2.4885324e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.2203005e-7,0.000002084306,3.331002e-8,0.34469953,0.000009673673,6.185937e-7,0.0001000087,0.00058935303,0.000023475464,0.00042496336,0.000008678775,0.65414125],"study_design_scores_gemma":[0.000071350514,0.000048969832,0.000003200346,0.21543878,0.00027307347,0.00007341504,0.00035355217,0.060093585,0.00002707257,0.00033546562,0.72282636,0.00045516514],"about_ca_topic_score_codex":0.000005179514,"about_ca_topic_score_gemma":0.000013226652,"teacher_disagreement_score":0.7228177,"about_ca_system_score_codex":0.0000908578,"about_ca_system_score_gemma":0.00017662409,"threshold_uncertainty_score":0.7758445},"labels":[],"label_agreement":null},{"id":"W4391718532","doi":"10.1016/j.jgsce.2024.205238","title":"Investigation on natural gas leakage and diffusion characteristics based on CFD","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Methane; Natural gas; Environmental science; Leakage (economics); Hazardous waste; Leak; Petroleum engineering; Environmental engineering; Moisture; Soil gas; Pipeline transport; Waste management; Soil science; Materials science; Geology; Chemistry; Engineering; Soil water","score_opus":0.007877532738158572,"score_gpt":0.1822588779085301,"score_spread":0.17438134517037152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391718532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997965,0.00006714402,0.00010700678,0.00044422311,0.00034414436,0.000062963016,0.0000012403798,0.000052380652,0.00095594174],"genre_scores_gemma":[0.9993009,0.0000679072,0.0003072679,0.00017585854,0.000034247416,0.0000029247321,0.0000021759463,0.0000071643176,0.0001015532],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991975,0.000005802261,0.00008036602,0.0002621531,0.00026626282,0.00018794049],"domain_scores_gemma":[0.99974567,0.00003950908,0.000011757777,0.000087164786,0.0000036362708,0.0001122573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052636,0.00009539675,0.00006329554,0.00008376054,0.00012679012,0.000116919065,0.000071679955,0.000029675399,0.000039598195],"category_scores_gemma":[0.000049760383,0.00007102037,0.000009923757,0.00033291677,0.000157546,0.00017499943,0.000051523817,0.00015368796,0.00003792758],"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":[0.000013035103,0.000017089284,0.0028408302,0.00009349261,0.000003831486,0.000034191886,0.0010375902,0.020936877,0.9227478,0.0014442337,0.00019071522,0.05064031],"study_design_scores_gemma":[0.000073802694,0.00007900389,0.022720646,0.00012110733,0.0000046672276,0.000006051998,0.000011600571,0.97044337,0.0044887774,0.00009181074,0.0018291955,0.00012997651],"about_ca_topic_score_codex":0.00001149743,"about_ca_topic_score_gemma":5.9208173e-7,"teacher_disagreement_score":0.94950646,"about_ca_system_score_codex":0.00006245626,"about_ca_system_score_gemma":0.000008519776,"threshold_uncertainty_score":0.28961265},"labels":[],"label_agreement":null},{"id":"W4393282007","doi":"10.1016/j.jgsce.2024.205286","title":"Hydraulic fracture initiation and propagation in deep coalbed methane reservoirs considering weak plane: CT scan testing","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Coalbed methane; Hydraulic fracturing; Geology; Fracture (geology); Plane (geometry); Methane; Petroleum engineering; Environmental science; Geotechnical engineering; Engineering; Coal; Geometry; Coal mining; Mathematics; Chemistry","score_opus":0.011295584032080135,"score_gpt":0.21988421466446773,"score_spread":0.20858863063238758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393282007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98864126,0.0025405413,0.006407117,0.0003584796,0.00018328278,0.00013614248,0.0000014599788,0.00042671704,0.0013050078],"genre_scores_gemma":[0.998367,0.00018526125,0.00128626,0.000028261084,0.000077956836,0.00001649691,0.0000044635963,0.000024745557,0.000009515944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875844,0.000011354808,0.00022863901,0.00032013207,0.00029842186,0.0003830398],"domain_scores_gemma":[0.9994958,0.00017499406,0.000016592732,0.00013746243,0.00003769545,0.00013743037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070498197,0.0001791746,0.00018422511,0.0005925282,0.00010038865,0.00026191436,0.0001121581,0.00005064778,0.0000062295044],"category_scores_gemma":[0.00040601782,0.00016546717,0.000018757084,0.0011485148,0.000084065396,0.00063543604,0.000049046546,0.00032132948,0.000003891188],"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":[0.0000012129723,0.000002700582,0.00075783895,0.00031526716,0.000013495142,0.000051345723,0.00059982936,0.9688484,0.023618737,0.000018264245,0.00002583241,0.005747058],"study_design_scores_gemma":[0.00011234282,0.000014339766,0.004964389,0.0003075142,0.000016535978,0.00010039148,0.00014986323,0.9818696,0.011034943,0.000064301676,0.0011508759,0.00021493481],"about_ca_topic_score_codex":0.00016488935,"about_ca_topic_score_gemma":0.000070156326,"teacher_disagreement_score":0.01302115,"about_ca_system_score_codex":0.000118883596,"about_ca_system_score_gemma":0.000048833368,"threshold_uncertainty_score":0.6747555},"labels":[],"label_agreement":null},{"id":"W4396620149","doi":"10.1016/j.jgsce.2024.205326","title":"A Practical probabilistic history matching framework for characterizing fracture network parameters of shale gas reservoirs","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Development Fund; Tertiary Education Trust Fund","keywords":"Shale gas; Probabilistic logic; Petroleum engineering; Matching (statistics); Oil shale; Geology; Fracture (geology); Computer science; Geotechnical engineering; Artificial intelligence; Mathematics; Statistics; Paleontology","score_opus":0.018563865479464727,"score_gpt":0.24770556193733176,"score_spread":0.22914169645786703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396620149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50749373,0.0037529736,0.48449045,0.0012854047,0.0016549326,0.0003548718,0.000007249381,0.00066902186,0.00029136828],"genre_scores_gemma":[0.93663067,0.00020125548,0.06275978,0.000056673318,0.00024188108,0.000044969034,0.0000031602365,0.00004280414,0.000018799512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844337,0.000009071645,0.00028915628,0.00035433972,0.00035280632,0.0005512538],"domain_scores_gemma":[0.9990234,0.000442851,0.000031532785,0.00026494853,0.0000610069,0.00017628344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609236,0.00020677768,0.00028213198,0.00024143298,0.00010257974,0.0001295911,0.0002145719,0.00012091377,0.000015792677],"category_scores_gemma":[0.00051507785,0.00018486909,0.000096543146,0.0005189514,0.00014475336,0.00047167166,0.000055698925,0.000434332,0.0000032307307],"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":[0.0000066756033,0.000008488437,0.000023430763,0.0010874051,0.00006311613,0.00001642235,0.0010952993,0.9876663,0.006626027,0.0009282073,0.0013133541,0.0011652835],"study_design_scores_gemma":[0.000061833685,0.000037685648,0.0001978482,0.0007573226,0.00006955824,0.000030723455,0.000086841734,0.9801427,0.0014877529,0.0017508534,0.015086631,0.00029022424],"about_ca_topic_score_codex":0.000019163685,"about_ca_topic_score_gemma":0.0000018920334,"teacher_disagreement_score":0.42913696,"about_ca_system_score_codex":0.00024954352,"about_ca_system_score_gemma":0.0000988008,"threshold_uncertainty_score":0.7538743},"labels":[],"label_agreement":null},{"id":"W4401989569","doi":"10.1016/j.jgsce.2024.205434","title":"3D DEM investigation on macro-meso mechanical responses of gas hydrate-bearing sediments in process of unloading confining pressure","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Clathrate hydrate; Overburden pressure; Bearing (navigation); Macro; Geology; Geotechnical engineering; Process (computing); Materials science; Hydrate; Chemistry; Physics; Computer science","score_opus":0.013126545899275793,"score_gpt":0.23089098439095995,"score_spread":0.21776443849168417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401989569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986183,0.00018776771,0.000111854046,0.000056407844,0.000117955264,0.00009514324,0.0000015170212,0.000025647803,0.00078539294],"genre_scores_gemma":[0.9991847,0.000024638117,0.0007149862,0.00001457219,0.000009258282,0.000005585934,5.398674e-7,0.000008046859,0.000037658065],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988743,0.00001588949,0.00022476689,0.00028049396,0.00037005858,0.00023446626],"domain_scores_gemma":[0.9996964,0.00007352117,0.000040890383,0.000095912335,0.000010642626,0.00008263247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009825736,0.00009956825,0.00013093103,0.00016841885,0.00005027961,0.000034937784,0.00015111669,0.00004868593,0.00003969555],"category_scores_gemma":[0.000121250894,0.00008498802,0.000014123656,0.00081896165,0.00016330712,0.0002955486,0.0000867321,0.00015993686,0.000004843324],"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":[0.000017455006,0.0000106584985,0.002526226,0.00014498943,0.0000072185985,0.000006218984,0.0021279573,0.1925026,0.80036026,0.0005173322,0.0000037028988,0.0017753677],"study_design_scores_gemma":[0.00017038698,0.00011235037,0.0030569492,0.0005092056,0.000016377882,0.000008392246,0.00015247468,0.575947,0.41935676,0.00039459788,0.00012142611,0.0001540642],"about_ca_topic_score_codex":0.00005359164,"about_ca_topic_score_gemma":0.000001851656,"teacher_disagreement_score":0.3834444,"about_ca_system_score_codex":0.00004456276,"about_ca_system_score_gemma":0.000033455184,"threshold_uncertainty_score":0.34657112},"labels":[],"label_agreement":null},{"id":"W4402782053","doi":"10.1016/j.jgsce.2024.205464","title":"A cradle-to-gate life cycle assessment for clean hydrogen gas production pathway using the CeO2/Ce2O3-based redox thermochemical cycle","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Chemical Looping and Thermochemical Processes","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":"Ontario Tech University","funders":"","keywords":"Production (economics); Redox; Life-cycle assessment; Hydrogen production; Hydrogen; Environmental science; Chemistry; Inorganic chemistry; Economics; Organic chemistry","score_opus":0.011787656701780305,"score_gpt":0.24054510937717502,"score_spread":0.2287574526753947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402782053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98078007,0.00052854186,0.016427489,0.00093438616,0.0003768599,0.00026710366,0.000005778244,0.0005215536,0.00015823248],"genre_scores_gemma":[0.99637544,0.000020908872,0.003098261,0.000071220216,0.0003147459,0.00006169152,0.0000031876639,0.00004681622,0.000007710062],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998569,0.00000455548,0.00020710945,0.00042588732,0.0003163146,0.0004771098],"domain_scores_gemma":[0.9993724,0.000089392095,0.000014314995,0.00024052167,0.0000659496,0.00021737466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796388,0.00020444358,0.0001616163,0.000108171174,0.00018717714,0.00019445739,0.00026278393,0.00006241914,0.000005592755],"category_scores_gemma":[0.0002626278,0.0001612059,0.00005741893,0.0007280471,0.00009333016,0.0002055341,0.000059237154,0.00022581455,0.0000031650304],"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":[0.000003117581,0.000006467775,7.9859007e-7,0.00020298085,0.000009561577,0.0000010172977,0.00009210365,0.44449672,0.55150014,0.000070768125,0.000027647444,0.0035886646],"study_design_scores_gemma":[0.00006408797,0.000013070434,0.0000050092817,0.00017372971,0.000013444522,0.000009071221,0.000028220575,0.7107407,0.2879719,0.0003147739,0.0004964186,0.0001695448],"about_ca_topic_score_codex":0.000008306383,"about_ca_topic_score_gemma":7.848356e-7,"teacher_disagreement_score":0.266244,"about_ca_system_score_codex":0.00024714542,"about_ca_system_score_gemma":0.000111046706,"threshold_uncertainty_score":0.6573786},"labels":[],"label_agreement":null},{"id":"W4405286379","doi":"10.1016/j.jgsce.2024.205524","title":"A statistical perspective on natural gas distribution pipeline incidents in the United States","year":2024,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Hong Kong Polytechnic University; McGill University","keywords":"Perspective (graphical); Pipeline (software); Natural gas; Distribution (mathematics); Environmental science; Computer science; Engineering; Mathematics; Artificial intelligence; Waste management","score_opus":0.0068650434226550225,"score_gpt":0.24904300199508267,"score_spread":0.24217795857242766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405286379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933923,0.00038637134,0.004990105,0.0006530605,0.00028527525,0.00006456,0.000025853158,0.00011778363,0.00008470757],"genre_scores_gemma":[0.99960506,0.00016398613,0.00010109475,0.00003893319,0.000043420747,0.0000052608257,0.00003235681,0.0000049701875,0.00000489276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992048,0.000009736352,0.000111827074,0.00017375809,0.0002763118,0.00022353226],"domain_scores_gemma":[0.9996578,0.00014935828,0.0000038364906,0.00008909237,0.000055901066,0.000044021854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040119444,0.000100364756,0.00008359618,0.00020252397,0.00007175032,0.00017957826,0.00014148712,0.000030293215,0.000007263554],"category_scores_gemma":[0.00026741123,0.00006522423,0.000020368649,0.0012649873,0.00013114308,0.0001782868,0.000019605648,0.0003594151,0.0000064434157],"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":[0.0000142193485,0.000021601296,0.00017380739,0.00019737045,0.000036250174,0.000095058516,0.010707446,0.92297095,0.004332658,0.0536106,0.001542043,0.006297987],"study_design_scores_gemma":[0.00004240248,0.000016592896,0.0030646245,0.00006228595,0.000010163151,0.000017348733,0.001359849,0.9930672,0.00030196994,0.0011362077,0.0008280008,0.000093370174],"about_ca_topic_score_codex":0.0003058446,"about_ca_topic_score_gemma":0.000033536362,"teacher_disagreement_score":0.070096225,"about_ca_system_score_codex":0.00026066316,"about_ca_system_score_gemma":0.000014226831,"threshold_uncertainty_score":0.2659767},"labels":[],"label_agreement":null},{"id":"W4405940204","doi":"10.1016/j.jgsce.2024.205536","title":"Improving proppant placement efficiency using the self-generated gas floating technique","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Drilling and Well Engineering","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":"Petroleum engineering; Computer science; Environmental science; Geology","score_opus":0.005807210885464111,"score_gpt":0.1958356988352994,"score_spread":0.1900284879498353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405940204","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":[0.48646405,0.00080324727,0.5096996,0.000045745463,0.0007820309,0.000410654,0.0000010976468,0.0010834743,0.0007101089],"genre_scores_gemma":[0.98320013,0.00006877973,0.016554158,0.000020801946,0.00007730774,0.00003342662,5.772397e-7,0.00002857613,0.000016230502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851894,0.0000070057467,0.00026382314,0.00030169613,0.0003033357,0.0006052175],"domain_scores_gemma":[0.9994794,0.000041514628,0.00002373189,0.00027693983,0.000085120206,0.00009327778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010030096,0.00023563343,0.00016674855,0.0003217254,0.0003996326,0.00022151129,0.0003226908,0.000060855804,0.0000017966502],"category_scores_gemma":[0.000109797256,0.0001907893,0.00003085455,0.0013460764,0.00007673694,0.00024512256,0.00011716188,0.00026878604,0.0000013541019],"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":[4.4603584e-7,0.0000037235088,0.000020590704,0.000101457685,0.000007304468,0.0000016483548,0.00013103013,0.63182217,0.36587766,0.00018555734,0.000008980981,0.0018394473],"study_design_scores_gemma":[0.00008878648,0.000010819909,0.000025357813,0.00014203427,0.00001619391,0.000017474049,0.000075959746,0.8505161,0.14845881,0.00000873433,0.00044768362,0.00019208],"about_ca_topic_score_codex":0.000020995152,"about_ca_topic_score_gemma":0.0000010826489,"teacher_disagreement_score":0.4967361,"about_ca_system_score_codex":0.00023432235,"about_ca_system_score_gemma":0.00011491915,"threshold_uncertainty_score":0.77801615},"labels":[],"label_agreement":null},{"id":"W4407802085","doi":"10.1016/j.jgsce.2025.205581","title":"Comparison of conventional and simplified heterogeneous modeling frameworks for simulation of sulfur poisoning in methane reforming catalyst","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":1,"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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Methane; Sulfur; Catalysis; Methane reformer; Environmental science; Chemistry; Steam reforming; Materials science; Metallurgy; Hydrogen production; Organic chemistry","score_opus":0.022025622539609525,"score_gpt":0.3136612079481286,"score_spread":0.291635585408519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407802085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8455567,0.00042562734,0.15378578,0.000012645325,0.00005740439,0.00011852281,0.000003213987,0.000019970623,0.00002016811],"genre_scores_gemma":[0.9971816,0.000007847582,0.0027651088,0.0000032802945,0.000012463759,0.000010180592,0.0000061243154,0.000009329635,0.000004079717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890256,0.00000294276,0.00043296837,0.00021762116,0.00019706534,0.00024683008],"domain_scores_gemma":[0.999461,0.00017875116,0.0000736517,0.00012222561,0.00011415069,0.00005020006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062059,0.00011226255,0.0003091746,0.00041436087,0.00004242887,0.000009986427,0.00011873272,0.000099992976,6.563561e-7],"category_scores_gemma":[0.0006059245,0.00011280112,0.000039906787,0.0005337277,0.000062769264,0.00022522394,0.00009011955,0.00016957821,4.5266976e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010592173,0.000006539707,0.000443069,0.00021582808,0.000007673962,1.7276562e-7,0.00023470618,0.6444455,0.35211736,0.0003712727,2.5504258e-8,0.0021472808],"study_design_scores_gemma":[0.00023013998,0.000011475176,0.000056076533,0.0002468727,0.000012689991,0.0000020652003,0.00014689584,0.72501314,0.274115,0.000088783694,0.0000047347708,0.00007212736],"about_ca_topic_score_codex":0.000085140986,"about_ca_topic_score_gemma":0.000008863909,"teacher_disagreement_score":0.15162492,"about_ca_system_score_codex":0.00008824827,"about_ca_system_score_gemma":0.000037487043,"threshold_uncertainty_score":0.4599896},"labels":[],"label_agreement":null},{"id":"W4409196264","doi":"10.1016/j.jgsce.2025.205617","title":"Integrating geological model via A multimodal machine learning approach in shale gas production forecast","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"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":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Shale gas; Oil shale; Production (economics); Petroleum engineering; Artificial intelligence; Computer science; Geology; Engineering; Economics; Waste management; Microeconomics","score_opus":0.017126685110694193,"score_gpt":0.2493469997187496,"score_spread":0.23222031460805542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409196264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.557369,0.0001897301,0.44115096,0.000024692717,0.00012707624,0.000092888935,3.394343e-7,0.0002295629,0.00081579096],"genre_scores_gemma":[0.88550115,0.000044089735,0.114306,0.000005233127,0.000031795487,0.00003023843,0.000002691852,0.000014152667,0.000064649146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988272,0.000013132944,0.00023424844,0.00032136845,0.00020378541,0.00040023273],"domain_scores_gemma":[0.9996611,0.000043707914,0.0000139539825,0.00014790217,0.000054582448,0.000078735895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009858903,0.00018076657,0.00019326207,0.00047703597,0.000117613956,0.00007544656,0.00017430093,0.00007705568,0.0000019374352],"category_scores_gemma":[0.00041162333,0.00016961287,0.000026815716,0.0010232246,0.00006471314,0.0003466267,0.00007012857,0.00043507412,8.1914345e-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":[0.0000028333188,0.000008173093,0.0017264578,0.00008429102,0.0000035467333,0.0000011175617,0.00027306844,0.96984315,0.020860145,0.00028334753,0.000003845265,0.00691],"study_design_scores_gemma":[0.00018035535,0.000010656527,0.0010841044,0.00005627901,0.000003383656,0.000009707866,0.000044491924,0.9967538,0.0015059514,0.00013637559,0.000051993728,0.00016291784],"about_ca_topic_score_codex":0.000019222127,"about_ca_topic_score_gemma":0.0000034879774,"teacher_disagreement_score":0.32813218,"about_ca_system_score_codex":0.00012127125,"about_ca_system_score_gemma":0.000023435749,"threshold_uncertainty_score":0.69166124},"labels":[],"label_agreement":null},{"id":"W4409783311","doi":"10.1016/j.jgsce.2025.205641","title":"A review of CO2 leakage along faults in CCUS: Theories, experiments, and models","year":2025,"lang":"en","type":"review","venue":"Gas Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Leakage (economics); Computer science; Economics; Keynesian economics","score_opus":0.02477526994192074,"score_gpt":0.2772567648667631,"score_spread":0.25248149492484234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409783311","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":[0.000075053824,0.9939216,0.0050367145,0.0000028226298,0.00019090845,0.0003324433,0.000009251403,0.000055325036,0.0003758898],"genre_scores_gemma":[0.0013287246,0.9978372,0.00070393627,0.000017098608,0.000016537879,0.000060909886,0.000004148614,0.000023529341,0.000007937817],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9986878,0.00000884383,0.00046775356,0.00031315992,0.00020121505,0.00032119665],"domain_scores_gemma":[0.99953663,0.00005167514,0.000044564447,0.00023812387,0.00004433118,0.000084667234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068884966,0.00028043066,0.000871839,0.000368031,0.000043127482,0.000028346542,0.00024729673,0.000092422815,0.0000012289041],"category_scores_gemma":[0.00009044626,0.0002517382,0.00005915066,0.00071876985,0.000032820542,0.00024638735,0.00015325178,0.00021005454,3.320123e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.074552e-7,0.000010070184,2.1061076e-7,0.32520184,0.000031928474,0.000008202063,0.00030751558,0.021903805,0.00013281056,0.0067542642,0.00006191947,0.64558685],"study_design_scores_gemma":[0.00020542457,0.000023960749,2.328385e-7,0.44739783,0.00015042209,0.00003633218,0.00005575313,0.40654114,0.00011935776,0.00035282306,0.14433788,0.0007788664],"about_ca_topic_score_codex":0.000012527259,"about_ca_topic_score_gemma":0.0000015287865,"teacher_disagreement_score":0.644808,"about_ca_system_score_codex":0.00008057369,"about_ca_system_score_gemma":0.000120579,"threshold_uncertainty_score":0.9999935},"labels":[],"label_agreement":null},{"id":"W4410487411","doi":"10.1016/j.jgsce.2025.205667","title":"Numerical evaluation of fingering behavior for hydrogen in aquifers","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Computer Modelling Group; University of Texas at Austin","keywords":"Aquifer; Viscous fingering; Geology; Environmental science; Computer science; Mechanics; Geotechnical engineering; Petroleum engineering; Groundwater; Physics; Porous medium; Porosity","score_opus":0.013360420626141341,"score_gpt":0.2518820742668466,"score_spread":0.23852165364070527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410487411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727845,0.0005791609,0.025441645,0.000011488268,0.00032687373,0.0002216739,0.000001359456,0.00010881031,0.0005244888],"genre_scores_gemma":[0.9983067,0.000028820128,0.0015392879,0.0000034729446,0.000017069393,0.00008841458,8.274006e-7,0.000011434806,0.00000395535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991597,0.0000024868175,0.00018715601,0.00015441747,0.0002327811,0.00026348355],"domain_scores_gemma":[0.9997312,0.000030151006,0.00001011108,0.0001100744,0.00007328892,0.000045210174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008904769,0.000099137826,0.00014139705,0.0003690976,0.00003344686,0.000021739774,0.00011765275,0.000037137583,0.0000015567327],"category_scores_gemma":[0.00015542557,0.000110976136,0.000023116902,0.0006632209,0.00003229171,0.00015765194,0.000018334691,0.00007248351,3.568154e-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":[8.527011e-7,0.0000046689547,0.0007523375,0.000095756994,0.000003823245,2.5791803e-7,0.00009270272,0.93279684,0.04971175,0.00012697586,0.0000052306746,0.016408782],"study_design_scores_gemma":[0.00022366158,0.000008188195,0.0055748825,0.00010354365,0.000015349106,0.0000013527497,0.00002173906,0.964517,0.029272508,0.000036251473,0.0001231373,0.0001024083],"about_ca_topic_score_codex":0.000010295151,"about_ca_topic_score_gemma":0.0000012597685,"teacher_disagreement_score":0.031720117,"about_ca_system_score_codex":0.00012034864,"about_ca_system_score_gemma":0.00004586236,"threshold_uncertainty_score":0.45254755},"labels":[],"label_agreement":null},{"id":"W4411728983","doi":"10.1016/j.jgsce.2025.205711","title":"Advances in gas injection for gas condensate reservoirs: Mechanisms and challenges","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Natural Resources Canada","funders":"Natural Resources Canada; Mitacs; Equinor","keywords":"Petroleum engineering; Environmental science; Geology","score_opus":0.014754469428536738,"score_gpt":0.23505968374516123,"score_spread":0.2203052143166245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411728983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8196811,0.037294906,0.13095097,0.0031699422,0.0011709051,0.00069540105,0.0000058511864,0.0006869747,0.0063439594],"genre_scores_gemma":[0.9838494,0.014617867,0.0014058009,0.000021198553,0.000021690255,0.000049895138,0.0000010486418,0.000009487649,0.000023580778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923986,0.0000049218756,0.00014622555,0.00021779654,0.00013857534,0.00025260227],"domain_scores_gemma":[0.9997323,0.00003819058,0.000010948,0.00010697212,0.00004646743,0.000065122695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044763557,0.00010961783,0.00014456957,0.00045660257,0.0000883144,0.000067340974,0.00009893048,0.000045241366,0.0000015209691],"category_scores_gemma":[0.000095296884,0.00010534421,0.000018556835,0.00058351137,0.000052890402,0.00052102184,0.000034816774,0.0000830707,7.0095507e-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":[0.000013866134,0.000011896594,0.000072251365,0.0006679663,0.000019496316,0.0000040808945,0.0010986226,0.88763255,0.046049427,0.013904547,0.000026495218,0.050498776],"study_design_scores_gemma":[0.00025259526,0.000038315946,0.00016381255,0.000101562706,0.000009004054,0.000004202525,0.0007043756,0.9867231,0.005015941,0.0035248378,0.003316144,0.00014608147],"about_ca_topic_score_codex":0.000006587033,"about_ca_topic_score_gemma":0.00010900039,"teacher_disagreement_score":0.16416833,"about_ca_system_score_codex":0.000050135543,"about_ca_system_score_gemma":0.000018174444,"threshold_uncertainty_score":0.42958122},"labels":[],"label_agreement":null},{"id":"W4412439263","doi":"10.1016/j.jgsce.2025.205732","title":"A unified volume translation model in SRK EOS for dry gas constituents","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"SINOPEC Petroleum Exploration and Production Research Institute; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; China National Petroleum Corporation","keywords":"Volume (thermodynamics); Translation (biology); Chemistry; Thermodynamics; Physics; Biochemistry","score_opus":0.010724240433410154,"score_gpt":0.22138203649588695,"score_spread":0.21065779606247678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64905703,0.00014403273,0.34818816,0.000047777474,0.00022419702,0.00015955491,0.0000065803765,0.000116499534,0.0020561772],"genre_scores_gemma":[0.9952078,0.00003363756,0.004660241,0.00001395773,0.000011864811,0.000022764707,0.000002293472,0.000008312614,0.00003913795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993905,0.000001369708,0.00012238159,0.00014346075,0.000091427464,0.0002508521],"domain_scores_gemma":[0.99981177,0.000019774105,0.0000058069513,0.00009180081,0.000022412785,0.000048424445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020105066,0.00009134477,0.00009995801,0.00023482656,0.000045674245,0.000040819497,0.00010999002,0.000038891238,9.97258e-7],"category_scores_gemma":[0.000026938962,0.000101735925,0.000017378343,0.00041728176,0.000051828076,0.00035388043,0.00001279453,0.00006845633,7.7015324e-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":[0.0000043805157,0.000005185292,0.00014546572,0.00008117337,0.0000043177897,8.254076e-7,0.00016050442,0.85979915,0.12832016,0.0051419046,0.000009818188,0.006327125],"study_design_scores_gemma":[0.0003239216,0.000005109378,0.00021651338,0.000053801723,0.0000045977763,7.622353e-7,0.000012328502,0.99610555,0.0015599171,0.0013032955,0.0003141676,0.00010001211],"about_ca_topic_score_codex":0.0000044595017,"about_ca_topic_score_gemma":0.00000844638,"teacher_disagreement_score":0.34615076,"about_ca_system_score_codex":0.000068125846,"about_ca_system_score_gemma":0.000054132284,"threshold_uncertainty_score":0.41486707},"labels":[],"label_agreement":null},{"id":"W4412449823","doi":"10.1016/j.jgsce.2025.205731","title":"Proxy model-driven optimization of CO2 operating condition and hydraulic fracturing design for maximizing EGR-CCS performance in the Duvernay shale formation, Canada","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"Energy and Mineral Resources Development Association of Korea; Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Hydraulic fracturing; Shale gas; Oil shale; Proxy (statistics); Petroleum engineering; Geology; Environmental science; Computer science","score_opus":0.007387263270311506,"score_gpt":0.19731973007876988,"score_spread":0.18993246680845838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412449823","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":[0.48770776,0.00012763774,0.51160914,0.000117212985,0.000042123687,0.00018860886,0.0000019655804,0.000025090081,0.00018044938],"genre_scores_gemma":[0.98872703,0.00012331989,0.011046642,0.00003541034,0.000011641969,0.000040167008,0.0000037127752,0.0000060021684,0.0000060584935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927044,0.0000065611353,0.00020496352,0.0001282559,0.00018114762,0.00020863433],"domain_scores_gemma":[0.99971277,0.00006512323,0.000027306547,0.00010103429,0.00006189253,0.0000318637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004512219,0.000099786004,0.0001245475,0.00017135924,0.0001870476,0.00007291963,0.00014341093,0.000031643354,5.8002604e-7],"category_scores_gemma":[0.0000824646,0.00008111083,0.000012395327,0.0003801282,0.000037112517,0.000486599,0.00002335117,0.00009780569,3.4776804e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012265051,0.0000020979812,0.00017832333,0.00020635626,0.0000052963596,3.5977297e-7,0.0005342862,0.9969678,0.0015775119,0.000019619898,0.000023618013,0.00048350092],"study_design_scores_gemma":[0.00014807723,0.000008483269,0.000732011,0.00013710669,0.000011119107,0.0000035560065,0.00016867847,0.9891688,0.009463567,0.0000070732804,0.000064503794,0.000086991655],"about_ca_topic_score_codex":0.0008198095,"about_ca_topic_score_gemma":0.0005340893,"teacher_disagreement_score":0.50101924,"about_ca_system_score_codex":0.000105448846,"about_ca_system_score_gemma":0.00008556961,"threshold_uncertainty_score":0.33076036},"labels":[],"label_agreement":null},{"id":"W4412747624","doi":"10.1016/j.jgsce.2025.205744","title":"Cybersecurity and cyber-attacks in the growing natural gas and hydrogen Industry: A systematic review of challenges and opportunities","year":2025,"lang":"en","type":"review","venue":"Gas Science and Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"European Union Agency for Network and Information Security; National Institute of Standards and Technology; European Commission","keywords":"Computer security; Natural gas; Natural (archaeology); Natural gas industry; Computer science; Business; Internet privacy; Engineering; History; Waste management","score_opus":0.032318865468183286,"score_gpt":0.27001570081193677,"score_spread":0.23769683534375347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412747624","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":[0.0005961636,0.9976402,0.000046276262,0.0009470543,0.000028210601,0.0006267411,0.0000022681952,0.000036022713,0.00007706975],"genre_scores_gemma":[0.0044606184,0.99498385,0.0003027576,0.00010700611,0.000007070946,0.00013111097,6.2797085e-7,0.0000040447785,0.0000028854538],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9986814,0.000060120587,0.0003807672,0.00042446709,0.00021949029,0.00023372195],"domain_scores_gemma":[0.99906236,0.00025102493,0.00013135922,0.00044799427,0.000048664373,0.00005859384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021133686,0.0002215769,0.00086484704,0.00034014185,0.00012228762,0.00007798769,0.0006755955,0.0001811546,1.2920135e-7],"category_scores_gemma":[0.0002383474,0.00015293433,0.000034618366,0.0005983493,0.00031995322,0.0003707738,0.00049190334,0.0005125442,6.8384686e-8],"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":[7.5727996e-8,0.000008827473,8.619522e-7,0.6586467,0.000017908038,0.000008843932,0.00076574244,3.2962373e-7,0.0000010065697,0.09966257,0.0000057328352,0.24088138],"study_design_scores_gemma":[0.00016266627,0.00005972774,0.000030197725,0.96283895,0.00045929413,0.0011207012,0.0008284126,0.007761109,0.0000062394206,0.0018313993,0.024139978,0.00076132186],"about_ca_topic_score_codex":0.00000868988,"about_ca_topic_score_gemma":0.0000030948006,"teacher_disagreement_score":0.30419225,"about_ca_system_score_codex":0.000023892679,"about_ca_system_score_gemma":0.00011322496,"threshold_uncertainty_score":0.62364805},"labels":[],"label_agreement":null},{"id":"W4412753591","doi":"10.1016/j.jgsce.2025.205743","title":"Feasibility and economic analysis of hydrogen seasonal storage in depleted gas reservoirs: A case study in Alberta","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Environmental science; Petroleum engineering; Waste management; Engineering","score_opus":0.014566382219653404,"score_gpt":0.24664432537736325,"score_spread":0.23207794315770985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412753591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99930483,0.00017095282,0.000026676238,0.00002835922,0.000051423198,0.000127693,0.0000023618456,0.000012717426,0.00027495777],"genre_scores_gemma":[0.9998783,0.0000101666865,0.000050498107,0.000004390445,0.0000072676366,0.00001746095,9.805213e-7,0.0000053236768,0.00002562963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988592,0.00004241675,0.0003004677,0.0003967683,0.00013739109,0.00026370463],"domain_scores_gemma":[0.9994617,0.00011479001,0.000034526736,0.00028381767,0.000024917628,0.000080257356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011407728,0.000113077884,0.00031717878,0.0009284368,0.000045447054,0.000039578998,0.0001551975,0.00003172376,0.000004634238],"category_scores_gemma":[0.00019001728,0.000114010785,0.000026890291,0.0019317924,0.00007897714,0.00021089014,0.00012329737,0.000073388626,2.69137e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055008436,0.00002564697,0.33155763,0.000018468701,0.000038934162,0.00010284195,0.0005426087,0.6663811,0.0010285191,0.00011161829,8.311061e-7,0.00018630753],"study_design_scores_gemma":[0.0004545436,0.00002163611,0.09820825,0.000034491793,0.000044219534,0.000033209846,0.0009385975,0.89973176,0.00036931713,0.00001677881,0.000036506164,0.00011070443],"about_ca_topic_score_codex":0.13458753,"about_ca_topic_score_gemma":0.29252028,"teacher_disagreement_score":0.23335065,"about_ca_system_score_codex":0.00028075938,"about_ca_system_score_gemma":0.00011979963,"threshold_uncertainty_score":0.87117535},"labels":[],"label_agreement":null},{"id":"W4413323301","doi":"10.1016/j.jgsce.2025.205763","title":"Molecular insights into the stability of CO2 hydrate in variable-diameter nano-slit","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Slit; Nano-; Hydrate; Stability (learning theory); Chemistry; Nanotechnology; Materials science; Chemical engineering; Physics; Optics; Composite material; Engineering; Computer science; Organic chemistry","score_opus":0.004140767587982777,"score_gpt":0.1830796307155866,"score_spread":0.17893886312760382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413323301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293226,0.00035018672,0.0010420076,0.00012189946,0.000104963,0.00010685354,2.2429383e-7,0.0000097954635,0.005331805],"genre_scores_gemma":[0.9985978,0.000055778266,0.0012396108,0.000073091374,0.000002493035,0.000007507649,2.029002e-7,0.0000028948843,0.000020648164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991833,0.00001860211,0.00016064032,0.00022755074,0.00020623895,0.0002036538],"domain_scores_gemma":[0.99966,0.000048388047,0.000022528347,0.00021117866,0.00001083462,0.00004707997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007420644,0.00008056117,0.000102099846,0.00007123212,0.00007652392,0.000025674211,0.00024506706,0.000032587697,0.000046261208],"category_scores_gemma":[0.000086242006,0.000053159445,0.000013685068,0.0012032151,0.00032201764,0.00016699602,0.00019581818,0.000105283514,0.0000040334103],"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":[0.0000033995882,0.000018015318,0.0032079744,0.000024910394,0.000003973782,0.0000015351752,0.0017330181,0.07859686,0.91291195,0.00214912,0.0000062859676,0.0013429619],"study_design_scores_gemma":[0.0006286439,0.000099244244,0.024565183,0.00018878272,0.000028201759,0.0000032217908,0.000520346,0.40326086,0.55100363,0.010727561,0.0085161105,0.00045818638],"about_ca_topic_score_codex":0.00025926938,"about_ca_topic_score_gemma":0.000015609332,"teacher_disagreement_score":0.3619083,"about_ca_system_score_codex":0.0000750647,"about_ca_system_score_gemma":0.000026478034,"threshold_uncertainty_score":0.21677792},"labels":[],"label_agreement":null},{"id":"W4414437918","doi":"10.1016/j.jgsce.2025.205782","title":"Real-time prediction and inverse design of multiphase CO2 trapping in deep saline aquifers using machine learning enhanced by SHAP analysis","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Artificial neural network; Scalability; Aquifer; Relative permeability; Plume; Benchmark (surveying); Inverse; Multiphase flow","score_opus":0.008873447004910792,"score_gpt":0.2321151723990504,"score_spread":0.2232417253941396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414437918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8926453,0.000016586422,0.106869,0.00004102481,0.000022571438,0.000074024094,0.0000015170237,0.000022965689,0.00030702123],"genre_scores_gemma":[0.9923774,0.00008322786,0.0074543445,0.000013829565,0.000002577395,0.0000033542185,0.0000026732446,0.0000018735241,0.00006073466],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936795,0.000017161576,0.00015669099,0.00019737688,0.00011869929,0.00014210561],"domain_scores_gemma":[0.9998123,0.000046213703,0.0000335561,0.000050153012,0.000011995096,0.000045757326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042423842,0.00006917032,0.00010584844,0.00023266397,0.00010520337,0.00002362448,0.000055361183,0.000026536662,0.00007788971],"category_scores_gemma":[0.00014047307,0.00006929422,0.000014040164,0.0010839598,0.00013872574,0.00028400612,0.00004246946,0.00007922418,8.649741e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041023363,0.000006602841,0.00366913,0.0000025749466,0.0000044470326,2.9895176e-7,0.00019468443,0.46611708,0.5296343,0.0000037247376,0.0000024864307,0.0003605971],"study_design_scores_gemma":[0.00014779132,0.000022459815,0.0048999973,0.000016503864,0.000025317271,0.0000014614467,0.00013036554,0.9798006,0.014866578,0.000006607747,0.000027084649,0.00005527145],"about_ca_topic_score_codex":0.00067672663,"about_ca_topic_score_gemma":0.00009424508,"teacher_disagreement_score":0.5147677,"about_ca_system_score_codex":0.00009717882,"about_ca_system_score_gemma":0.000013417807,"threshold_uncertainty_score":0.2825736},"labels":[],"label_agreement":null},{"id":"W4414560280","doi":"10.1016/j.jgsce.2025.205787","title":"Hydrogen production via in-situ combustion gasification: Insights from lab-scale modeling assisted by machine learning","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Computer Modelling Group; Texas Tech University","keywords":"Combustion; Methanation; Hydrogen production; Oil production; Production (economics); Hydrogen","score_opus":0.006252082768871381,"score_gpt":0.18446536921249324,"score_spread":0.17821328644362186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414560280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98920816,0.001363579,0.008584119,0.00010742843,0.00019308736,0.00007373359,9.212436e-7,0.000260503,0.00020844107],"genre_scores_gemma":[0.9992822,0.00011654462,0.0005170856,0.000010378643,0.000019611794,0.000010799681,0.000014251483,0.000009748367,0.000019414241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992197,0.0000055626506,0.00016055933,0.0002644288,0.0001694475,0.00018029404],"domain_scores_gemma":[0.99974537,0.000016954558,0.000014449924,0.00011710216,0.000049685026,0.0000564236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013645805,0.00011362605,0.000108535656,0.00020634467,0.000092795904,0.000040738818,0.0001382297,0.00005543015,0.0000029676814],"category_scores_gemma":[0.00006451813,0.00012034944,0.000011813796,0.00089344615,0.00004168689,0.00035663342,0.00004135045,0.00016340596,0.0000036306435],"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":[0.0000022176002,0.0000066006282,0.00020497399,0.00003610085,0.000003813472,4.103562e-7,0.0001313338,0.08052103,0.915523,0.000010910416,0.000009930125,0.0035497101],"study_design_scores_gemma":[0.00008233912,0.000002817921,0.00019929734,0.000053642863,0.000004683279,0.0000012734987,0.000034600533,0.4254706,0.5738872,0.000048208094,0.00012695647,0.00008839739],"about_ca_topic_score_codex":0.00002397746,"about_ca_topic_score_gemma":0.000009409364,"teacher_disagreement_score":0.34494954,"about_ca_system_score_codex":0.00011822265,"about_ca_system_score_gemma":0.00001685572,"threshold_uncertainty_score":0.4907708},"labels":[],"label_agreement":null},{"id":"W4415717705","doi":"10.1016/j.jgsce.2025.205798","title":"Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"Qatar National Research Fund; Qatar Foundation","keywords":"Random forest; Leak; Boosting (machine learning); Naive Bayes classifier; Gradient boosting; Pipeline (software); Leak detection; Signal processing; Probabilistic logic; Feature engineering","score_opus":0.0056850974663533345,"score_gpt":0.22735437784839532,"score_spread":0.22166928038204198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415717705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79932976,0.000035105295,0.19886523,0.00014496532,0.00004858991,0.00015318434,4.3856582e-7,0.00004944473,0.0013732954],"genre_scores_gemma":[0.9916283,0.00000446464,0.008188609,0.00003244501,0.0000048085058,0.00003227189,9.2073714e-7,0.000003827342,0.00010436361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928564,0.000009198606,0.000120574965,0.00023671053,0.00012702968,0.00022083131],"domain_scores_gemma":[0.9998114,0.00004180432,0.000036549838,0.000049038306,0.000023835217,0.000037340844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004280465,0.000090538044,0.00007687116,0.000097675904,0.00029036438,0.00007949658,0.00008880549,0.000024033781,0.000024972134],"category_scores_gemma":[0.00013504073,0.00007651517,0.00000979749,0.00065723166,0.00011557181,0.00058960984,0.00003335236,0.00017285618,0.0000014201312],"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":[0.000018495097,0.000014783795,0.0052239574,0.000020171337,0.0000015285221,0.0000033771312,0.00062708923,0.5832764,0.38676915,0.00028186085,0.000001819454,0.023761375],"study_design_scores_gemma":[0.0003105499,0.00012833039,0.01034328,0.00012484739,0.0000036620006,0.000013948932,0.0007605415,0.97930807,0.007927356,0.00034214646,0.00057798333,0.00015930348],"about_ca_topic_score_codex":0.00012446704,"about_ca_topic_score_gemma":0.0025624523,"teacher_disagreement_score":0.39603165,"about_ca_system_score_codex":0.00017699828,"about_ca_system_score_gemma":0.0000347119,"threshold_uncertainty_score":0.3120198},"labels":[],"label_agreement":null},{"id":"W4416662045","doi":"10.1016/j.jgsce.2025.205808","title":"Comparative hydrogen storage performance assessment of organic waste materials for sustainable energy applications","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","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 Ontario Institute of Technology","funders":"","keywords":"Cyclic voltammetry; Electrochemistry; Activated carbon; Linear sweep voltammetry; Carbon fibers; Hydrogen storage; Hydrogen","score_opus":0.009145630895402098,"score_gpt":0.2437065506969415,"score_spread":0.2345609198015394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416662045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712629,0.000062590196,0.027891023,0.000024639461,0.000138123,0.00023622208,0.000007554798,0.000032354576,0.0003446105],"genre_scores_gemma":[0.9978353,0.000026574111,0.0017799229,0.000015293217,0.000044601784,0.00020698478,0.000003144915,0.0000048272173,0.00008337337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914294,0.000006960475,0.00019672437,0.00021812343,0.00018928567,0.00024594998],"domain_scores_gemma":[0.9993712,0.000032967917,0.000051057432,0.00017100696,0.00033367728,0.000040149127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078084524,0.00008765312,0.00017872085,0.00014030153,0.00021032027,0.00010338163,0.00020796321,0.000025853336,0.000022056995],"category_scores_gemma":[0.00003322114,0.000080572194,0.000011261487,0.0003965252,0.00012400495,0.0003966525,0.00007856305,0.000016949643,9.724337e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032476999,0.000011721542,0.000028522161,0.00013184935,0.0000023017249,7.455344e-8,0.00009215941,0.00115232,0.988179,0.010302294,0.000026634389,0.00006983242],"study_design_scores_gemma":[0.00010958868,0.000032644188,0.0004852243,0.000024837756,0.000009271745,0.0000011181041,0.0003336341,0.0088575,0.9887667,0.00012537201,0.0011713883,0.00008275868],"about_ca_topic_score_codex":0.000019983807,"about_ca_topic_score_gemma":8.2556136e-7,"teacher_disagreement_score":0.026572395,"about_ca_system_score_codex":0.000116707626,"about_ca_system_score_gemma":0.00017563615,"threshold_uncertainty_score":0.32856387},"labels":[],"label_agreement":null},{"id":"W6921799246","doi":"10.1016/j.jgsce.2025.205737","title":"Shale permeability evolution during lifetime gas production considering bedding orientation: Relative contributions of poroelasticity and gas dynamics","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sichuan Province Science and Technology Support Program; Southwest Petroleum University","keywords":"Permeability (electromagnetism); Oil shale; Poromechanics; Bedding; Pore water pressure; Relative permeability; Bed; Shale gas","score_opus":0.004394506174110065,"score_gpt":0.21560563430253762,"score_spread":0.21121112812842757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921799246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93708336,0.00024918062,0.06160857,0.00028888948,0.00022607925,0.00013544907,0.0000071576997,0.00013473113,0.0002665475],"genre_scores_gemma":[0.9989929,0.00012545346,0.00080339814,0.000002564801,0.000029594557,0.000013991147,0.00000456447,0.000007182904,0.000020301446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897844,0.000012638009,0.00027354062,0.00027235376,0.00022099885,0.00024203285],"domain_scores_gemma":[0.9994572,0.00004976099,0.000036673227,0.00014708539,0.00021712444,0.0000921736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429995,0.00012875634,0.00018692079,0.00035383974,0.00027356314,0.0000522138,0.000069998096,0.00005260253,0.000003576997],"category_scores_gemma":[0.0007052759,0.00013553287,0.000029945926,0.0010420332,0.000227775,0.000670305,0.000057755613,0.00015146253,8.287036e-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":[0.000008829499,0.000019585957,0.0084762,0.0003404887,0.000060253966,0.0000021742728,0.00093724905,0.814375,0.16966346,0.0055446397,0.000008218022,0.0005639201],"study_design_scores_gemma":[0.00018052282,0.0000118788,0.011942305,0.00012532152,0.000042448704,0.000010664385,0.0005152633,0.96655244,0.019898195,0.0005773589,0.000010228199,0.0001333869],"about_ca_topic_score_codex":0.000021739383,"about_ca_topic_score_gemma":0.000023132518,"teacher_disagreement_score":0.15217745,"about_ca_system_score_codex":0.00034915112,"about_ca_system_score_gemma":0.00005720919,"threshold_uncertainty_score":0.552687},"labels":[],"label_agreement":null},{"id":"W7116059125","doi":"10.1016/j.jgsce.2025.205826","title":"Dynamic imaging of CO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si90.svg\" display=\"inline\" id=\"d1e563\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> plume migration from sparse monitoring data using neural network models","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Energi Simulation; University of Southern California","keywords":"Plume; Artificial neural network; Data acquisition; Dynamic data; Adaptability; Limit (mathematics); Iterative reconstruction; Tracking (education)","score_opus":0.021030486618475647,"score_gpt":0.25303518947811937,"score_spread":0.23200470285964372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116059125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97799474,0.00020446905,0.007506595,0.0002935581,0.0011111888,0.00002610967,0.000054742504,0.00008064354,0.012727953],"genre_scores_gemma":[0.9935685,0.00017294324,0.00557288,0.00016479159,0.00023077524,0.00004590858,0.00015915462,0.0000405312,0.000044562363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975935,0.000034457124,0.00046343904,0.0006285637,0.00063930976,0.0006406901],"domain_scores_gemma":[0.998674,0.00018507602,0.00025389076,0.0006648595,0.0000294101,0.00019281154],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065738434,0.00021749525,0.00011019412,0.00012718282,0.0005668473,0.00037909392,0.00068494893,0.00018228908,0.0026184875],"category_scores_gemma":[0.00022042447,0.0003248225,0.00012258696,0.00054722856,0.0004486853,0.00175121,0.00070176495,0.00036008717,0.00006620019],"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":[0.00008785054,0.00007124507,0.00044422544,0.00012839322,0.000090364294,0.00010764123,0.0010847789,0.8024242,0.050560147,0.13772567,0.003932894,0.0033425777],"study_design_scores_gemma":[0.00017301044,0.000058097,0.00088950875,0.00022858659,0.000087769455,0.00007955237,0.00040287428,0.9178444,0.07965183,0.00004029849,0.00029281198,0.00025126626],"about_ca_topic_score_codex":0.001571591,"about_ca_topic_score_gemma":0.00061378226,"teacher_disagreement_score":0.13768536,"about_ca_system_score_codex":0.000024275561,"about_ca_system_score_gemma":0.00016302626,"threshold_uncertainty_score":0.99992037},"labels":[],"label_agreement":null},{"id":"W7116656729","doi":"10.1016/j.jgsce.2025.205830","title":"Modeling phase behavior of nanoconfined fluids with a multi-mechanism modified Peng–Robinson equation","year":2025,"lang":"en","type":"article","venue":"Gas Science and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Science Foundation of China University of Petroleum, Beijing; National Key Research and Development Program of China; China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Equation of state; Surface tension; Nanoporous; Work (physics); Phase (matter); Nanopore; Adsorption; Nanoscopic scale; Kelvin equation; Oil shale","score_opus":0.022045402006249562,"score_gpt":0.2638261543270866,"score_spread":0.24178075232083707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116656729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7325414,0.0000049517867,0.266477,0.00006154936,0.00006435501,0.00011918411,7.8099146e-7,0.000027107495,0.00070368213],"genre_scores_gemma":[0.99229604,0.0000056850176,0.0074925334,0.00002816355,0.000004160384,0.000027016495,0.0000011601973,0.0000022407753,0.0001429809],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939847,0.0000039494544,0.00012097949,0.00017889321,0.00015743385,0.00014028401],"domain_scores_gemma":[0.99980384,0.000009459902,0.000017217228,0.000098216726,0.000029591176,0.00004166359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021912987,0.000068792135,0.000068505295,0.00009107887,0.00011706543,0.00002951522,0.00009536162,0.000023570066,0.00006143379],"category_scores_gemma":[0.000047387242,0.000058825357,0.000011663319,0.00035035246,0.0000843962,0.00027667082,0.000044910357,0.00005775714,0.0000034216762],"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":[0.000007997886,0.000057245048,0.00012847259,0.0000055553437,0.0000015858288,0.0000012748437,0.0002390821,0.25269538,0.7409044,0.003039725,0.0000028861336,0.0029164138],"study_design_scores_gemma":[0.0003543522,0.00006253199,0.00046029344,0.000020037267,0.000009182715,0.0000043873433,0.000087350956,0.9684316,0.030420529,0.00005113191,0.00003200078,0.00006661709],"about_ca_topic_score_codex":0.00018476024,"about_ca_topic_score_gemma":0.000038061502,"teacher_disagreement_score":0.7157362,"about_ca_system_score_codex":0.00005787102,"about_ca_system_score_gemma":0.000029286679,"threshold_uncertainty_score":0.23988284},"labels":[],"label_agreement":null}]}