{"meta":{"query_hash":"6ebea1276ffc","filters":{"venue":"Geosystem Engineering"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/6ebea1276ffc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Geosystem+Engineering"},"results":[{"id":"W1965884149","doi":"10.1080/12269328.2005.10541240","title":"Arsenic Contamination of Soils in the Vicinity of Abandoned Seongan Mine","year":2005,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tailings; Contamination; Environmental science; Arsenic; Soil water; Mining engineering; Environmental chemistry; Soil contamination; Environmental engineering; Waste management; Geology; Chemistry; Soil science; Engineering","score_opus":0.008807398255317846,"score_gpt":0.1718312781123034,"score_spread":0.16302387985698555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965884149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977547,0.000020814394,0.000026003854,0.0000026678908,4.1619356e-7,0.0000019161928,0.000024319572,0.0000011669878,0.00014731582],"genre_scores_gemma":[0.999506,0.000058042635,0.00008328611,0.0000042376923,5.5391007e-7,0.0000022349755,0.0000702109,5.8965554e-7,0.0002748763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999293,0.000009737592,0.000006535765,0.000015575162,0.000024498639,0.00001423058],"domain_scores_gemma":[0.9999249,0.000009275292,0.000022838756,0.0000030362994,0.000027122987,0.000012756361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008539429,0.00019037847,0.00015916092,0.00067648664,0.00055861485,0.0004381362,0.000119973236,0.00019994577,0.00032673686],"category_scores_gemma":[0.000098183256,0.00014512216,0.000075950586,0.0005478162,0.00023810224,0.00012810552,0.0002092878,0.000096871685,0.000076832985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037510932,0.00008499436,0.6043258,0.00020237964,0.000051067065,0.0024781146,0.002954763,0.00067321473,0.37730142,0.0001700913,0.000082561986,0.011300477],"study_design_scores_gemma":[0.000017339444,0.00034541578,0.9491855,0.00002670573,0.00003713725,0.0010665135,0.0044355504,0.0011517578,0.041462164,0.00020843607,0.0020501707,0.000013289021],"about_ca_topic_score_codex":0.012429519,"about_ca_topic_score_gemma":0.029307738,"teacher_disagreement_score":0.012429519,"about_ca_system_score_codex":0.00029545865,"about_ca_system_score_gemma":0.00035394082,"threshold_uncertainty_score":0.024714291},"labels":[],"label_agreement":null},{"id":"W1980381926","doi":"10.1080/12269328.2012.692624","title":"Application of orientation biogeochemical exploration method in the vicinity of Ildong Fe-Pb-Zn skarn deposits in Korea","year":2012,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Korea Resources Corporation; Seoul National University; Imperial College London; U.S. Department of Energy","keywords":"Pinus densiflora; Biogeochemical cycle; Skarn; Botany; Fraxinus; Chemistry; Horticulture; Soil water; Zinc; Environmental chemistry; Geology; Biology; Metallurgy; Soil science; Materials science","score_opus":0.014749414262107633,"score_gpt":0.2386827425369496,"score_spread":0.22393332827484197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980381926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982108,0.00011245779,0.0007173831,0.000014396477,0.0000031822724,0.00002065895,0.00009667149,0.00000897694,0.00081548176],"genre_scores_gemma":[0.9954852,0.00019317056,0.0036476464,0.000017916653,0.0000036891038,0.000021428299,0.00012915143,0.0000052468454,0.0004964871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998584,0.000012241683,0.000011166841,0.00006152251,0.000029406207,0.000027216145],"domain_scores_gemma":[0.99991167,0.0000058481464,0.000024780602,0.0000045362567,0.000038702932,0.000014463704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013328802,0.00034716522,0.00025331718,0.001243782,0.00043856137,0.0003713421,0.00024718646,0.00023624727,0.0003565975],"category_scores_gemma":[0.000113562775,0.00022415505,0.00019629604,0.00084993534,0.00018017516,0.0002384769,0.0004557603,0.000121049976,0.00011469864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020841308,0.00008128065,0.82150984,0.00015477226,0.00007151094,0.0009259925,0.0014648347,0.00077604037,0.14591616,0.000096240976,0.00014358119,0.028651267],"study_design_scores_gemma":[0.000021271013,0.00013437825,0.9837233,0.0000210731,0.00006219346,0.00039854657,0.0017571808,0.002608253,0.009375211,0.00008229157,0.0018026867,0.000013672075],"about_ca_topic_score_codex":0.015405316,"about_ca_topic_score_gemma":0.053803336,"teacher_disagreement_score":0.015405316,"about_ca_system_score_codex":0.00031136448,"about_ca_system_score_gemma":0.00042744784,"threshold_uncertainty_score":0.030631304},"labels":[],"label_agreement":null},{"id":"W2004605234","doi":"10.1080/12269328.2011.10541331","title":"Estimation of Q from Zero-offset VSP Data in Gas Hydrate-bearing Zone","year":2011,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Offset (computer science); Amplitude; Attenuation; Clathrate hydrate; Geology; Hydrate; Vertical seismic profile; Wavelet; Amplitude versus offset; Porosity; Mineralogy; Seismology; Geotechnical engineering; Physics; Optics; Chemistry; Computer science","score_opus":0.027114788678644818,"score_gpt":0.1942784728041882,"score_spread":0.1671636841255434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004605234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97590876,0.0000542786,0.022209533,0.000031398053,0.000008121623,0.000020042024,0.000582613,0.00038758127,0.0007977016],"genre_scores_gemma":[0.97774225,0.000047274294,0.021066258,0.000007794796,0.0000037083146,0.000012233582,0.0008964298,0.00003628478,0.00018781913],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980754,0.000022502822,0.000012281776,0.000044162203,0.000084318686,0.000029313574],"domain_scores_gemma":[0.9995833,0.00011341634,0.000053582564,0.000039749673,0.00018068394,0.000029319635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042040806,0.00039884637,0.0002414811,0.0019344175,0.00019811674,0.00035378075,0.0005361489,0.00038802228,0.00057603547],"category_scores_gemma":[0.001176993,0.00019824524,0.00027151988,0.0014900714,0.00034420172,0.00046353583,0.00032135993,0.00026895117,0.00021099728],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090897677,0.00034545216,0.20001468,0.0004859272,0.00013052698,0.0013546938,0.00067371083,0.124656424,0.41180748,0.0014308227,0.0017015073,0.2564898],"study_design_scores_gemma":[0.00008589674,0.00014362966,0.28969315,0.000024809468,0.000056577697,0.0004183102,0.00053886045,0.61184305,0.09462118,0.0007495945,0.0017455608,0.000079371144],"about_ca_topic_score_codex":0.012268519,"about_ca_topic_score_gemma":0.012019003,"teacher_disagreement_score":0.012268519,"about_ca_system_score_codex":0.0003699716,"about_ca_system_score_gemma":0.0004410008,"threshold_uncertainty_score":0.024394214},"labels":[],"label_agreement":null},{"id":"W4401192819","doi":"10.1080/12269328.2024.2382735","title":"Assessing the impact of geochemical mechanism and interpolation factor selection on the precision of low-salinity waterflooding modelling: a comparative study","year":2024,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Wetting; Contact angle; Carbonate; Interpolation (computer graphics); Soil science; Petroleum engineering; Mineralogy; Chemistry; Chemical engineering; Engineering","score_opus":0.034866534472148034,"score_gpt":0.3041922987986181,"score_spread":0.26932576432647004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401192819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9135498,0.00075108174,0.08117917,0.00014864307,0.00006294772,0.00007171134,0.0007136576,0.0016260464,0.0018969568],"genre_scores_gemma":[0.9660909,0.00022983295,0.032614928,0.000019807481,0.000007554332,0.00002943433,0.00056101347,0.0001486841,0.00029783582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995437,0.000107585074,0.00005930718,0.0001223506,0.000114278344,0.00005273698],"domain_scores_gemma":[0.9976533,0.0012264393,0.00017748999,0.00037968886,0.0005092999,0.000053940512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923722,0.00079476216,0.0006768687,0.00049412396,0.00032034164,0.0009989153,0.0009848704,0.0009455682,0.0011900857],"category_scores_gemma":[0.0054436415,0.00026420938,0.0007081311,0.000506339,0.0002997895,0.0008419874,0.00056368904,0.0005483423,0.0003054689],"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":[0.0015112495,0.0004373965,0.07252787,0.00091340137,0.0003587599,0.00036148124,0.00042549623,0.6927731,0.095664896,0.0016682014,0.0010867696,0.13227136],"study_design_scores_gemma":[0.000063295396,0.0002169639,0.010487723,0.00005260666,0.000083704166,0.00007407106,0.000128428,0.94820786,0.038887944,0.00031544556,0.0014322412,0.000049780014],"about_ca_topic_score_codex":0.011170929,"about_ca_topic_score_gemma":0.006971268,"teacher_disagreement_score":0.011170929,"about_ca_system_score_codex":0.00027077255,"about_ca_system_score_gemma":0.0006960498,"threshold_uncertainty_score":0.02221179},"labels":[],"label_agreement":null},{"id":"W4403902668","doi":"10.1080/12269328.2024.2417076","title":"Material balance analysis of water influx into an undersaturated oil reservoir using pot aquifer model: a case study","year":2024,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AUG Signals (Canada)","funders":"","keywords":"Aquifer; Aquifer test; Geology; Material balance; Hydrology (agriculture); Groundwater; Water level; Water balance; Environmental science; Petroleum engineering; Geotechnical engineering; Groundwater recharge; Engineering; Geography","score_opus":0.013658286780822305,"score_gpt":0.2459261279326301,"score_spread":0.2322678411518078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403902668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955397,0.000020011912,0.0033814434,0.000018080222,0.0000019276486,0.000014700587,0.00017300436,0.00004416172,0.00080700667],"genre_scores_gemma":[0.9982571,0.000020454256,0.0012762684,0.0000022314377,6.500962e-7,0.000009158402,0.000051200906,0.000004960151,0.00037803224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994457,0.000009206592,0.000004075147,0.000013353038,0.000012628161,0.000016199963],"domain_scores_gemma":[0.9997292,0.00016026547,0.000039368977,0.00001628409,0.000041913492,0.000012971521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018341152,0.0003672764,0.00031341737,0.00042549116,0.00020547245,0.00035314253,0.00042961494,0.00048772624,0.0012136184],"category_scores_gemma":[0.00049695215,0.00020169128,0.0003847547,0.00037751734,0.00032572824,0.00040393625,0.00029378344,0.00025978909,0.000054954897],"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":[0.00017041442,0.00011452502,0.015471646,0.00009063996,0.000029738905,0.0007616257,0.00008585998,0.9520173,0.024919506,0.00082254666,0.00014972776,0.005366446],"study_design_scores_gemma":[0.000012506093,0.00010891714,0.0039037718,0.0000029537625,0.00001365423,0.000039323226,0.00006471486,0.9901315,0.005417507,0.00014298141,0.00015384614,0.0000083693],"about_ca_topic_score_codex":0.02467859,"about_ca_topic_score_gemma":0.023838334,"teacher_disagreement_score":0.02467859,"about_ca_system_score_codex":0.00060269865,"about_ca_system_score_gemma":0.0005291175,"threshold_uncertainty_score":0.04906988},"labels":[],"label_agreement":null},{"id":"W4410416538","doi":"10.1080/12269328.2025.2505786","title":"Simulation study of CO <sub>2</sub> geological storage in a tight sand reservoir with hydraulic fractured horizontal well","year":2025,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation","keywords":"Geology; Hydraulic fracturing; Petroleum engineering; Geotechnical engineering; Petrology; Geomorphology","score_opus":0.00687203528414706,"score_gpt":0.22703366632505298,"score_spread":0.22016163104090591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410416538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924193,0.000050662722,0.0017573913,0.000154099,0.000011343833,0.000023010214,0.0003251492,0.00005063379,0.005208436],"genre_scores_gemma":[0.99832886,0.000029503954,0.0007610215,0.00001454598,0.000001383385,0.00001374589,0.00010434006,0.000005976226,0.000740651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.0000165806,0.000005278359,0.00001788255,0.000019804602,0.000049774662],"domain_scores_gemma":[0.9995788,0.00019710812,0.000054343032,0.000018597975,0.000080060825,0.00007109087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021583351,0.00041000225,0.00044750737,0.00044596434,0.0007765838,0.00071517687,0.0006255723,0.0011666773,0.0020247994],"category_scores_gemma":[0.0007154799,0.00025460412,0.00043096178,0.00055770704,0.00086776644,0.00048373078,0.0005630602,0.00054902426,0.00009723957],"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":[0.00011854178,0.00009102029,0.010062588,0.000030178362,0.000019250287,0.00027984052,0.000040474682,0.98465234,0.0023460756,0.0008143443,0.0003048811,0.0012404983],"study_design_scores_gemma":[0.000020689764,0.00003859165,0.0021249845,0.000003549377,0.000008200846,0.000012887133,0.000070138645,0.9969131,0.00056077476,0.000106881154,0.00013304455,0.00000713077],"about_ca_topic_score_codex":0.15002747,"about_ca_topic_score_gemma":0.10821953,"teacher_disagreement_score":0.15002747,"about_ca_system_score_codex":0.001750396,"about_ca_system_score_gemma":0.0019804998,"threshold_uncertainty_score":0.29830837},"labels":[],"label_agreement":null},{"id":"W4411339379","doi":"10.1080/12269328.2025.2517608","title":"Development of prediction models for storage efficiency factor to estimate volumetric CO <sub>2</sub> storage capacity in saline aquifer","year":2025,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Aquifer; Environmental science; Storage efficiency; Petroleum engineering; Soil science; Hydrology (agriculture); Geotechnical engineering; Geology; Groundwater; Computer science; Database","score_opus":0.019877879607782114,"score_gpt":0.24353888845022537,"score_spread":0.22366100884244325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411339379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23118077,0.00047657744,0.7621842,0.00030674963,0.000043447984,0.000091199996,0.00061965926,0.0016224214,0.0034749226],"genre_scores_gemma":[0.9282914,0.00041488817,0.06869176,0.00006209713,0.000014984818,0.00022990683,0.00048780473,0.000118710326,0.0016884822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998324,0.00003875101,0.000012661037,0.00005103104,0.000040998217,0.000024219256],"domain_scores_gemma":[0.99938047,0.00028176894,0.00007388841,0.000032761523,0.00021750711,0.000013578439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007089809,0.00080918474,0.00047100644,0.0004867465,0.00018900062,0.00048701288,0.0009998108,0.0006538461,0.0008580442],"category_scores_gemma":[0.0017369724,0.00039339944,0.00076641986,0.0005247871,0.00024246043,0.0009126455,0.00036571114,0.00071260013,0.00025866306],"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":[0.000014359472,0.000022113572,0.002858422,0.000033884313,0.000019601817,0.000024514684,0.000014212251,0.9832404,0.002045409,0.00073027075,0.00024936916,0.010747442],"study_design_scores_gemma":[9.377818e-7,0.0000028722843,0.00018625402,0.0000014050383,0.0000021940812,0.0000019888846,0.0000025528532,0.99928397,0.00035032912,0.000095849486,0.00006922576,0.0000025528288],"about_ca_topic_score_codex":0.024454786,"about_ca_topic_score_gemma":0.01282658,"teacher_disagreement_score":0.024454786,"about_ca_system_score_codex":0.0007658336,"about_ca_system_score_gemma":0.0011947147,"threshold_uncertainty_score":0.048624873},"labels":[],"label_agreement":null},{"id":"W4415787203","doi":"10.1080/12269328.2025.2575390","title":"An interpretable framework for predicting weight-on-bit in horizontal wells based on TCL-BO stacking ensemble","year":2025,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Stacking; Pattern recognition (psychology); Scale (ratio); Ensemble learning","score_opus":0.003989624683678592,"score_gpt":0.2101940899132265,"score_spread":0.2062044652295479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415787203","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16084482,0.0004981077,0.83436334,0.00027948077,0.00007378645,0.000035814195,0.0004191009,0.0012393993,0.0022461046],"genre_scores_gemma":[0.94828224,0.0002237602,0.049429562,0.00007332467,0.00003854116,0.000057630037,0.0004699248,0.000049582453,0.0013755657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988866,0.000019204614,0.000006999067,0.00003532195,0.00002621052,0.000023524173],"domain_scores_gemma":[0.9997191,0.00009419151,0.000044897515,0.000019960806,0.00010375543,0.000017975086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041922627,0.00090635027,0.00055244705,0.00075736514,0.0002557698,0.0005531658,0.0008363349,0.0005994348,0.0012799595],"category_scores_gemma":[0.0010612044,0.00032915018,0.00054815755,0.0005191274,0.00024873827,0.0008735966,0.00051535683,0.00072416844,0.00027872686],"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":[0.000039778217,0.00003638868,0.0032536024,0.000021389433,0.000033977678,0.00007185683,0.00003247737,0.9400096,0.0029699549,0.0012116727,0.00061189575,0.05170745],"study_design_scores_gemma":[6.167629e-7,0.0000051649695,0.00021425105,0.000001767953,0.000003242699,0.0000036380393,0.0000028364332,0.9991129,0.0002044782,0.0003965452,0.000052573676,0.000002082131],"about_ca_topic_score_codex":0.011442553,"about_ca_topic_score_gemma":0.015875915,"teacher_disagreement_score":0.011442553,"about_ca_system_score_codex":0.00047010506,"about_ca_system_score_gemma":0.0007010825,"threshold_uncertainty_score":0.022751868},"labels":[],"label_agreement":null},{"id":"W7106694076","doi":"10.1080/12269328.2025.2593531","title":"Optimization study of production system based on the return rule of shale gas wells","year":2025,"lang":"en","type":"article","venue":"Geosystem Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Shale gas; Pressure system; Production (economics); Production system (computer science); System optimization; Oil shale","score_opus":0.009035272247160078,"score_gpt":0.21594897035589697,"score_spread":0.2069136981087369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106694076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5853843,0.0011844483,0.3909387,0.0005134144,0.00004997553,0.00020616432,0.00031521523,0.00022767422,0.021180168],"genre_scores_gemma":[0.98746115,0.00021333389,0.010592435,0.000013232571,0.0000046992996,0.00006930873,0.000057938665,0.000018997418,0.0015688838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971765,0.00009356825,0.000010914014,0.000059907612,0.000048103666,0.000069791655],"domain_scores_gemma":[0.99961746,0.00019759362,0.000064242064,0.000015779331,0.00007831673,0.000026589012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082669826,0.0006003163,0.00070381106,0.0005751341,0.00042952588,0.0013906519,0.00052102807,0.00078341784,0.0015766722],"category_scores_gemma":[0.00150908,0.0004919924,0.00055064313,0.0005115465,0.00046749265,0.00089417974,0.00039934326,0.0004946435,0.00013059472],"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":[0.000033661487,0.000011430572,0.0005484625,0.00003297169,0.00000870651,0.000060070393,0.00001743902,0.9942774,0.0011789539,0.0015026014,0.00013930375,0.0021889678],"study_design_scores_gemma":[0.0000072273538,0.00002336445,0.0002547572,0.0000026294033,0.000006039527,0.0000070985834,0.000015728721,0.9987766,0.00036175371,0.0004304704,0.00011078635,0.0000035900903],"about_ca_topic_score_codex":0.009343024,"about_ca_topic_score_gemma":0.0058043837,"teacher_disagreement_score":0.009343024,"about_ca_system_score_codex":0.0012445647,"about_ca_system_score_gemma":0.0010641904,"threshold_uncertainty_score":0.018577278},"labels":[],"label_agreement":null}]}