{"meta":{"query_hash":"0e9180a641ff","filters":{"venue":"SPE/EAGE Reservoir Characterization and Simulation Conference"},"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/0e9180a641ff","api":"https://metacan.xera.ac/api/v1/cohort?venue=SPE%2FEAGE+Reservoir+Characterization+and+Simulation+Conference"},"results":[{"id":"W1981770501","doi":"10.2118/111367-ms","title":"Simulation of Vapex Process in Problematic Reservoirs: A Promising Tool Along with Experimental Study","year":2007,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"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":"Petroleum engineering; Process (computing); Volume (thermodynamics); Injector; Extraction (chemistry); Process engineering; Sensitivity (control systems); Fossil fuel; Environmental science; Computer science; Materials science; Engineering; Mechanical engineering; Waste management; Chromatography; Chemistry","score_opus":0.033437315603148075,"score_gpt":0.31878741654865755,"score_spread":0.2853501009455095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981770501","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":[0.92715734,0.00036356176,0.061736807,0.00031376886,0.000049031853,0.00017699094,0.0007887858,0.00043850995,0.008975147],"genre_scores_gemma":[0.9909662,0.00011016851,0.007639182,0.000014728622,0.0000040576197,0.00007839418,0.00017844925,0.000014608721,0.0009941716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998574,0.000032327585,0.000009410394,0.000025393892,0.000044743254,0.000030719257],"domain_scores_gemma":[0.99943095,0.0003603158,0.000045055007,0.000055117223,0.00008884087,0.000019682642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031725917,0.00042542827,0.00058468507,0.00022470862,0.00029583665,0.00053490646,0.0005178548,0.0009561395,0.0024785048],"category_scores_gemma":[0.00078937726,0.00018618032,0.0003561536,0.00033589217,0.0003700654,0.00049126137,0.00033056026,0.00044193678,0.00013025657],"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":[0.00015844456,0.00017301417,0.0027356811,0.0001611847,0.000015252694,0.00015802956,0.00003440763,0.9668026,0.024310881,0.0012320115,0.00024663433,0.0039718985],"study_design_scores_gemma":[0.000014753138,0.000091384914,0.00031559606,0.0000040620107,0.0000036965423,0.000009597451,0.00001696716,0.9895751,0.009507905,0.00018569824,0.00026968913,0.000005644429],"about_ca_topic_score_codex":0.004276685,"about_ca_topic_score_gemma":0.0021952926,"teacher_disagreement_score":0.004276685,"about_ca_system_score_codex":0.00036314133,"about_ca_system_score_gemma":0.0005229174,"threshold_uncertainty_score":0.008503616},"labels":[],"label_agreement":null},{"id":"W1981813145","doi":"10.2118/111174-ms","title":"Imaging Injected Water flood Fronts between Wells in a Complex Carbonate Reservoir: Designing Completions to Optimize Image Resolution","year":2007,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Geology; Environmental geology; Economic geology; Petroleum engineering; Flood myth; Gemology; Carbonate; Casing; Oil field; Regional geology; High resolution; Engineering geology; Hydrogeology; Remote sensing; Geotechnical engineering; Seismology; Telmatology","score_opus":0.04814184415729392,"score_gpt":0.29071933562508745,"score_spread":0.24257749146779353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981813145","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":[0.7491998,0.000156014,0.24368618,0.00019222213,0.000052635874,0.00066514156,0.00034736894,0.0017305091,0.0039700526],"genre_scores_gemma":[0.74244624,0.00013236832,0.25471348,0.000029027644,0.000008411255,0.00020767363,0.00018362404,0.00014962564,0.0021295955],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981564,0.000019330433,0.000014246166,0.000036306144,0.00006757571,0.0000468668],"domain_scores_gemma":[0.9991922,0.00018890742,0.00014164495,0.00013271246,0.00023130834,0.00011327404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008022235,0.0004517346,0.00022429999,0.00051958783,0.00024038008,0.00046759224,0.0005772353,0.00034864017,0.0017278164],"category_scores_gemma":[0.0013183107,0.00037506173,0.00020669604,0.0002862716,0.0003792032,0.00061590964,0.0004941885,0.00034194285,0.00035846213],"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":[0.0003824691,0.00017581323,0.008141781,0.0003003357,0.000012371616,0.0005957024,0.0003728592,0.012974614,0.92646646,0.0010448353,0.0007983908,0.048734426],"study_design_scores_gemma":[0.000060592858,0.001961718,0.020126643,0.00003258668,0.00003919044,0.0006294202,0.00036075086,0.06517288,0.90059024,0.0003428174,0.010618737,0.00006449382],"about_ca_topic_score_codex":0.0012433479,"about_ca_topic_score_gemma":0.002677404,"teacher_disagreement_score":0.0017278164,"about_ca_system_score_codex":0.0004477619,"about_ca_system_score_gemma":0.0008050462,"threshold_uncertainty_score":0.0057801604},"labels":[],"label_agreement":null},{"id":"W2000092023","doi":"10.2118/111403-ms","title":"EOR Methods to Enhance Gas Oil Gravity Drainage:Modeling Aspects","year":2007,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Petroleum engineering; Imbibition; Enhanced oil recovery; Capillary pressure; Surface tension; Relative permeability; Capillary action; Steam-assisted gravity drainage; Saturation (graph theory); Steam injection; Geology; Permeability (electromagnetism); Wetting; Drainage; Matrix (chemical analysis); Geotechnical engineering; Materials science; Oil sands; Porous medium; Chemistry; Composite material; Porosity; Asphalt; Thermodynamics","score_opus":0.021984350220351303,"score_gpt":0.3232839683030786,"score_spread":0.3012996180827273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000092023","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":[0.10513371,0.002820201,0.8393683,0.001292676,0.00016014268,0.00025732227,0.000695021,0.0016037498,0.048668932],"genre_scores_gemma":[0.77201384,0.0023609912,0.18875712,0.00031449922,0.00014100644,0.00046157377,0.00046284168,0.0006380458,0.0348501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984705,0.000057865207,0.000007185631,0.000024399793,0.00004465357,0.000018852614],"domain_scores_gemma":[0.99954295,0.0002586583,0.00005507884,0.00002963645,0.00009850725,0.000015239397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006427229,0.0006357609,0.00062449614,0.0005934915,0.00025994642,0.00085113035,0.00091965834,0.0015544764,0.004870846],"category_scores_gemma":[0.0010740325,0.00034033542,0.00070616597,0.0004937878,0.00046574997,0.0009483366,0.0005910027,0.00063408044,0.0008176967],"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":[0.000021609041,0.0000897968,0.00045889683,0.0001340946,0.000012404249,0.00007481176,0.000049650273,0.96850014,0.0055052056,0.00961237,0.0007194614,0.014821526],"study_design_scores_gemma":[0.0000027494152,0.0000061083674,0.000031807984,0.0000048256506,9.3270404e-7,0.000006929976,0.0000034119532,0.99854654,0.00035084767,0.0003164078,0.00072651054,0.0000029256994],"about_ca_topic_score_codex":0.009411873,"about_ca_topic_score_gemma":0.0037210383,"teacher_disagreement_score":0.009411873,"about_ca_system_score_codex":0.000656553,"about_ca_system_score_gemma":0.00056936144,"threshold_uncertainty_score":0.01871419},"labels":[],"label_agreement":null},{"id":"W2019606063","doi":"10.2118/125765-ms","title":"Optimization of 3-D Gas Permeability Measurement: Utilization of Field Data","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vineland Research and Innovation Centre","funders":"Utah Agricultural Experiment Station","keywords":"Permeameter; Petrophysics; Permeability (electromagnetism); Porosity; Core sample; Geology; Mineralogy; Petroleum engineering; Soil science; Materials science; Geotechnical engineering; Composite material; Chemistry","score_opus":0.09644092445399839,"score_gpt":0.2941681365866767,"score_spread":0.1977272121326783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019606063","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":[0.49148002,0.000084456195,0.49950013,0.00008861491,0.000015925623,0.0001604067,0.00081902574,0.0055520358,0.00229933],"genre_scores_gemma":[0.83057696,0.000050614246,0.168398,0.00001669743,0.00000383711,0.00009743552,0.00041544368,0.00014534516,0.00029569436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963,0.00014152403,0.000025571017,0.00007050728,0.000099724646,0.00003265876],"domain_scores_gemma":[0.9985273,0.00080592924,0.00008335618,0.0002200688,0.00032449304,0.00003889394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009306171,0.0006098377,0.0005307042,0.00092196895,0.0002551509,0.0005661314,0.00056658994,0.00042687164,0.0018088623],"category_scores_gemma":[0.0026670115,0.0002816772,0.00032099435,0.0009784475,0.00021719624,0.00053358654,0.00037184687,0.00030396608,0.00051234657],"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":[0.00086456205,0.00053354463,0.02848629,0.000411135,0.00006908661,0.00027505797,0.00044120636,0.33432204,0.2996115,0.0009290074,0.0015432024,0.3325133],"study_design_scores_gemma":[0.00003164155,0.00027909313,0.023362856,0.000013796881,0.000025217052,0.000083493906,0.00017661708,0.84557116,0.12830049,0.0003486326,0.0017548439,0.000052162024],"about_ca_topic_score_codex":0.0035215355,"about_ca_topic_score_gemma":0.004579401,"teacher_disagreement_score":0.0035215355,"about_ca_system_score_codex":0.00028898753,"about_ca_system_score_gemma":0.0003948456,"threshold_uncertainty_score":0.0070020556},"labels":[],"label_agreement":null},{"id":"W2026931643","doi":"10.2118/125355-ms","title":"Effective Reservoir Management Through Integration of Formation Pressure While Drilling, Well Log and Seismic Data in the White Rose Field, Offshore Newfoundland, Canada","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","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":true,"ca_institutions":"Husky Energy (Canada)","funders":"","keywords":"Drilling; Petroleum engineering; Geology; Submarine pipeline; Compartmentalization (fire protection); Reservoir simulation; Petrophysics; Oil field; Borehole; Measurement while drilling; Petrology; Engineering; Geotechnical engineering","score_opus":0.027432732821939372,"score_gpt":0.2766780354105125,"score_spread":0.24924530258857314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026931643","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":[0.9930005,0.00013253161,0.00077482994,0.00016716984,0.0000032789596,0.00008602737,0.0019710462,0.000069819806,0.0037948263],"genre_scores_gemma":[0.9917652,0.0001617764,0.004538406,0.000030121502,0.0000018974459,0.000024236937,0.0015020432,0.000009305895,0.0019669053],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996847,0.000026971062,0.000017309749,0.000056054436,0.00011351863,0.00010139467],"domain_scores_gemma":[0.9991516,0.000086305896,0.00011347877,0.00003462059,0.0005007601,0.00011329677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041049052,0.00025899868,0.00017270028,0.0016028937,0.0007584807,0.0011323802,0.0005774444,0.00015254621,0.00057757593],"category_scores_gemma":[0.00085357134,0.00021230194,0.00011990141,0.002141763,0.0004354462,0.00034909882,0.00062292686,0.00023960003,0.00008807124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021485596,0.0002244157,0.85984653,0.00012439972,0.000120569355,0.0013696236,0.0026156208,0.017185686,0.017299663,0.0005610903,0.0045326715,0.0959048],"study_design_scores_gemma":[0.00001228302,0.000039827624,0.9753989,0.00003236907,0.000025923497,0.00005978179,0.0032687397,0.01568179,0.0020945605,0.000044254244,0.0033143128,0.000027257593],"about_ca_topic_score_codex":0.98298633,"about_ca_topic_score_gemma":0.9960557,"teacher_disagreement_score":0.017013669,"about_ca_system_score_codex":0.0129351495,"about_ca_system_score_gemma":0.015502453,"threshold_uncertainty_score":0.09385151},"labels":[],"label_agreement":null},{"id":"W2047047298","doi":"10.2118/125567-ms","title":"A Novel Method to Develop a New Scaling Equation for Modeling of Asphaltene Precipitation","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Asphaltene; Scaling; Dilution; Precipitation; Thermodynamics; Crude oil; Residual; Materials science; Chemistry; Petroleum engineering; Mathematics; Geology; Algorithm; Meteorology; Physics; Organic chemistry","score_opus":0.0864199615725639,"score_gpt":0.34527536777888,"score_spread":0.2588554062063161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047047298","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":[0.0036419323,0.00008145421,0.9950321,0.00003495363,0.000047212943,0.000045138724,0.000035081262,0.00020457736,0.0008775215],"genre_scores_gemma":[0.20333867,0.00050124485,0.788428,0.000084000814,0.00007853899,0.00058685854,0.00023325862,0.00020891268,0.006540493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968123,0.0000618269,0.000027896764,0.00007034628,0.00014073125,0.000018032782],"domain_scores_gemma":[0.9997085,0.00009952724,0.0000334082,0.00003752046,0.000113803166,0.000007320599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000544618,0.00070995686,0.0004981668,0.0005689199,0.0002884546,0.00043562808,0.0007847348,0.0007258322,0.0018135365],"category_scores_gemma":[0.0011135966,0.00032045803,0.000904873,0.000532486,0.00031452102,0.0010383589,0.0004146166,0.0010180979,0.00096140057],"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":[0.000045977693,0.00014492373,0.002130706,0.00052158016,0.00008850473,0.0003867114,0.00030718386,0.50544953,0.12694788,0.11206336,0.00395158,0.24796213],"study_design_scores_gemma":[0.0000029145772,0.000018410086,0.000111684494,0.00000514129,0.0000048383745,0.000040139796,0.000004629114,0.9914205,0.0033172497,0.0019503578,0.0031167162,0.0000074265386],"about_ca_topic_score_codex":0.0021149344,"about_ca_topic_score_gemma":0.0016703828,"teacher_disagreement_score":0.0021149344,"about_ca_system_score_codex":0.0004077789,"about_ca_system_score_gemma":0.00077353895,"threshold_uncertainty_score":0.006066859},"labels":[],"label_agreement":null},{"id":"W2318979386","doi":"10.2118/124077-ms","title":"Generating 3-D Permeability Map of Fracture Networks Using Well, Outcrop and Pressure Transient Data","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractal; Permeability (electromagnetism); Fracture (geology); Geology; Geotechnical engineering; Mathematics; Mathematical analysis","score_opus":0.02878174468544423,"score_gpt":0.2673257577733956,"score_spread":0.2385440130879514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318979386","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":[0.8027796,0.00002892799,0.18700965,0.00006589612,0.00001518209,0.00014493213,0.0044871066,0.0029398932,0.002528697],"genre_scores_gemma":[0.93944836,0.000035282163,0.057708092,0.0000066805446,0.0000030416732,0.00008087142,0.002141527,0.00009336596,0.00048268228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999138,0.000012144206,0.000006309597,0.000023466393,0.000030178178,0.000014132766],"domain_scores_gemma":[0.9995858,0.00017268161,0.000039146573,0.00007178067,0.00010262415,0.000027887343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708771,0.00044551818,0.000313944,0.0015245976,0.0002124834,0.0004207701,0.0005602572,0.0004852155,0.0022612067],"category_scores_gemma":[0.0011803539,0.00035966703,0.0006586572,0.0008323844,0.00016724273,0.0004922558,0.00036618876,0.00027959372,0.00027144898],"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":[0.0000835068,0.000085099105,0.0074154334,0.000040557898,0.000026760901,0.00013739704,0.00006071015,0.9671582,0.0061031734,0.00060264743,0.0004281781,0.017858256],"study_design_scores_gemma":[0.0000047762137,0.000012313945,0.0022699283,0.000002291427,0.0000037150921,0.000015568157,0.000012710977,0.99497545,0.0023109745,0.00023297437,0.0001510122,0.000008434004],"about_ca_topic_score_codex":0.010313395,"about_ca_topic_score_gemma":0.0098597575,"teacher_disagreement_score":0.010313395,"about_ca_system_score_codex":0.000537448,"about_ca_system_score_gemma":0.000534595,"threshold_uncertainty_score":0.02050674},"labels":[],"label_agreement":null},{"id":"W4236267002","doi":"10.2118/125211-ms","title":"Shale Barrier Effects on the SAGD Performance","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Suncor Energy (Canada)","funders":"Suncor Energy Incorporated","keywords":"Oil shale; Injector; Petroleum engineering; Geology; Permeability (electromagnetism); Reservoir simulation; Flow (mathematics); Shale gas; Petrology; Engineering; Mechanics; Paleontology; Mechanical engineering; Chemistry","score_opus":0.013215685168653039,"score_gpt":0.2258244285862996,"score_spread":0.21260874341764657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236267002","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":[0.9959971,0.00007922135,0.0016080394,0.000030396097,0.00000763084,0.000010722802,0.00017539535,0.000099690245,0.0019918578],"genre_scores_gemma":[0.9993331,0.000036094683,0.0002518274,0.0000037021205,2.7643043e-7,0.0000029748792,0.00008840032,0.000004536815,0.000279142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974996,0.00004303509,0.000014147536,0.000025507856,0.00008565229,0.0000816235],"domain_scores_gemma":[0.9993851,0.00022454488,0.00007354189,0.000052605254,0.00019352476,0.00007067155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046764687,0.0003771612,0.000417507,0.0005201795,0.00047136168,0.0010538624,0.00051906833,0.0004834185,0.0022142036],"category_scores_gemma":[0.0010298574,0.00025778907,0.00044255753,0.00046365714,0.00043673138,0.00045117407,0.0004432755,0.0003969667,0.0003027043],"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":[0.00042004566,0.00017060697,0.025170399,0.00009218349,0.000042393058,0.00023062108,0.00008193489,0.94124556,0.02486682,0.00041921527,0.00029922187,0.0069609927],"study_design_scores_gemma":[0.000050562063,0.00064055447,0.01865901,0.000023229719,0.000046610217,0.00005295267,0.0003115726,0.94241124,0.036635432,0.00018301375,0.00093898096,0.000046853642],"about_ca_topic_score_codex":0.041710872,"about_ca_topic_score_gemma":0.031682756,"teacher_disagreement_score":0.041710872,"about_ca_system_score_codex":0.0013878702,"about_ca_system_score_gemma":0.0008786718,"threshold_uncertainty_score":0.08293623},"labels":[],"label_agreement":null},{"id":"W4254940117","doi":"10.2118/125503-ms","title":"Case Study: History Matching Using Enhanced Permeability Modifications (EPMs) for Court Bakken Heavy Oil Reservoir","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Petroleum engineering; Permeability (electromagnetism); Reservoir simulation; Oil field; Oil production; Geology; Petrology; Environmental science; Chemistry","score_opus":0.08548510425582612,"score_gpt":0.32909304211741647,"score_spread":0.24360793786159035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254940117","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":[0.9639778,0.00009925025,0.028119441,0.0011403143,0.000035767593,0.00016029128,0.00036756654,0.00028737995,0.0058122734],"genre_scores_gemma":[0.9877154,0.000042961117,0.010122074,0.000042202882,0.0000049953514,0.00003344134,0.000100033925,0.00003226932,0.0019066974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920374,0.00023053758,0.00005714243,0.000111885645,0.0002277305,0.00016889798],"domain_scores_gemma":[0.99801576,0.0011273146,0.00019256839,0.0002319387,0.0001835285,0.00024883696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009747694,0.0004844363,0.00039536538,0.0006475658,0.0017611964,0.0010937857,0.001414193,0.002979195,0.0028448731],"category_scores_gemma":[0.0035570997,0.00042335855,0.0006634517,0.0007016506,0.0010164973,0.0012293139,0.0011265529,0.0013575708,0.0002893354],"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":[0.00071206636,0.0007262918,0.08716153,0.00028285,0.00009356697,0.09880373,0.0038836745,0.729596,0.010073908,0.019045042,0.005473214,0.044148263],"study_design_scores_gemma":[0.00009324817,0.0006187099,0.019511262,0.00010958437,0.000077825614,0.014576399,0.00664352,0.8977294,0.034884695,0.0072449334,0.018336749,0.0001737446],"about_ca_topic_score_codex":0.030445984,"about_ca_topic_score_gemma":0.038426343,"teacher_disagreement_score":0.030445984,"about_ca_system_score_codex":0.0020560394,"about_ca_system_score_gemma":0.0016195902,"threshold_uncertainty_score":0.060537577},"labels":[],"label_agreement":null}]}