{"meta":{"query_hash":"431e1672a314","filters":{"venue":"SPE Nigeria Annual International Conference and Exhibition"},"cohort_total":29,"direct_labels_cover":0,"predictions_cover":29,"exported":29,"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/431e1672a314","api":"https://metacan.xera.ac/api/v1/cohort?venue=SPE+Nigeria+Annual+International+Conference+and+Exhibition"},"results":[{"id":"W1621292780","doi":"10.2118/178262-ms","title":"Estimation Of Net Pay In Unconventional Gas Reservoirs","year":2015,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Calgary","funders":"","keywords":"Unconventional oil; Petroleum engineering; Scarcity; Tight gas; Reservoir engineering; Petroleum reservoir; Petroleum; Reservoir modeling; Reservoir simulation; Geology; Fossil fuel; Hydraulic fracturing; Economics; Engineering; Microeconomics","score_opus":0.027954539346442014,"score_gpt":0.271860884112835,"score_spread":0.24390634476639297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621292780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727059,0.00007044522,0.011279857,0.0015847562,0.00049381,0.000116533905,0.00007890096,0.000070839335,0.013598943],"genre_scores_gemma":[0.99886006,0.000153596,0.00034645115,0.000024907553,0.00006941358,0.000013288646,0.00032971674,0.000008079484,0.0001945072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915636,0.000033426924,0.00030270778,0.00013040905,0.00027313133,0.000103952036],"domain_scores_gemma":[0.9995888,0.000015379868,0.000049215447,0.00007717979,0.00019488069,0.000074552765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021183885,0.00009641524,0.00014012198,0.00022727062,0.000015463434,0.00003811321,0.00008848229,0.00006829953,0.00020778233],"category_scores_gemma":[0.0000510043,0.00008552646,0.00003721387,0.0001616043,0.000047672358,0.00047293177,0.000024545681,0.00010064018,0.000025411362],"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":[0.0003539275,0.00030128993,0.015482906,0.00017647026,0.00028431183,0.00003917957,0.010334419,0.88205385,0.014528565,0.041708756,0.012622213,0.02211412],"study_design_scores_gemma":[0.0009235792,0.00007470111,0.0023814836,0.00011205006,0.000010568045,0.00000763029,0.0030451638,0.9592509,0.00433312,0.028315121,0.0013315143,0.00021414808],"about_ca_topic_score_codex":0.00008808154,"about_ca_topic_score_gemma":0.00029820076,"teacher_disagreement_score":0.07719708,"about_ca_system_score_codex":0.00005482751,"about_ca_system_score_gemma":0.00004188136,"threshold_uncertainty_score":0.34876677},"labels":[],"label_agreement":null},{"id":"W1973037278","doi":"10.2118/167606-ms","title":"Pressure Testing of Segmented Horizontal Wells in Anisotropic Composite Reservoirs","year":2013,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Anisotropy; Inflow; Horizontal plane; Injection well; Flow (mathematics); Geology; Perpendicular; Petroleum engineering; Mechanics; Computer science; Simulation; Geometry; Mathematics; Physics; Optics","score_opus":0.01255651977154546,"score_gpt":0.2306446417068419,"score_spread":0.21808812193529645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973037278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205893,0.000089936824,0.0007297291,0.00032270377,0.00015347246,0.00010698286,0.000046536632,0.000052709947,0.0064389803],"genre_scores_gemma":[0.99896175,0.00009331783,0.00055988133,0.000020700913,0.000073973104,0.000013390206,0.000069886315,0.00000971763,0.00019737109],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924904,0.000025214262,0.00025738613,0.00014917603,0.00017497262,0.00014419259],"domain_scores_gemma":[0.9996082,0.0000324723,0.00004642479,0.0000869363,0.0001753877,0.00005054728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065252985,0.00011290207,0.00016233507,0.00014828533,0.000028452776,0.000056115623,0.00011440466,0.0000712496,0.00039590607],"category_scores_gemma":[0.000024360552,0.00010756126,0.000033333803,0.00011682704,0.000042523647,0.00035168935,0.000039436964,0.00013361336,0.000023967552],"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":[0.00011670707,0.00029510632,0.16024181,0.0005306831,0.0006534381,0.000043526332,0.004731296,0.15222193,0.6634225,0.00093170285,0.0055056717,0.011305612],"study_design_scores_gemma":[0.0018633758,0.0003191785,0.26376703,0.0009165537,0.000063101244,0.000030919648,0.0041369786,0.64551306,0.07592479,0.0033414946,0.0033346554,0.0007888662],"about_ca_topic_score_codex":0.0010017583,"about_ca_topic_score_gemma":0.00013672598,"teacher_disagreement_score":0.5874977,"about_ca_system_score_codex":0.000025539279,"about_ca_system_score_gemma":0.000010748817,"threshold_uncertainty_score":0.4386221},"labels":[],"label_agreement":null},{"id":"W1978282434","doi":"10.2118/167524-ms","title":"The Changing Face of Global Oil and Gas Production and its Implication on Nigeria","year":2013,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; China; Business; Fossil fuel; Production (economics); Petroleum; Shale gas; Transparency (behavior); Petroleum industry; Face (sociological concept); Oil shale; Natural resource economics; Economy; Economics; Market economy; Finance; Engineering; Geography; Political science","score_opus":0.018809173901813105,"score_gpt":0.2818243225382483,"score_spread":0.2630151486364352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978282434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478024,0.0002309572,0.0018972841,0.0014040031,0.00033897607,0.000081005375,0.0000240673,0.00005704814,0.001186409],"genre_scores_gemma":[0.9980462,0.0012635678,0.00026243497,0.000012489567,0.00011476278,0.000028303042,0.000018491615,0.000007853902,0.0002458849],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993897,0.000024920748,0.00017356043,0.00015538523,0.00013200876,0.0001243916],"domain_scores_gemma":[0.9996071,0.00004128053,0.000041795287,0.000080496124,0.00018196997,0.000047385853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016927425,0.000106619445,0.0000946273,0.000050865783,0.000085324755,0.0000961729,0.000056059165,0.000055067383,0.000022846343],"category_scores_gemma":[0.00008701697,0.00008924867,0.000015214515,0.0000812751,0.000037230544,0.00030838468,0.000026519258,0.00007132253,0.0000057918774],"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":[0.00029679047,0.00010817007,0.008431026,0.0006221853,0.0003630989,0.0000028864922,0.010604463,0.112428226,0.3104174,0.13564043,0.0020422596,0.41904303],"study_design_scores_gemma":[0.0015652949,0.0003974544,0.08679799,0.0007529039,0.00003468312,0.00010210606,0.008703904,0.8015297,0.061617374,0.033612795,0.0037501885,0.0011355741],"about_ca_topic_score_codex":0.000011045497,"about_ca_topic_score_gemma":0.000009824195,"teacher_disagreement_score":0.6891015,"about_ca_system_score_codex":0.000028188566,"about_ca_system_score_gemma":0.0000066424086,"threshold_uncertainty_score":0.3639455},"labels":[],"label_agreement":null},{"id":"W2064795501","doi":"10.2118/172361-ms","title":"Wellbore Stability Management in Weak Bedding Planes and Angle of Attack in Well Planing","year":2014,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada); University of Calgary","funders":"","keywords":"Borehole; Bed; Bedding; Geology; Drilling; Casing; Slip (aerodynamics); Geotechnical engineering; Oil shale; Petroleum engineering; Drilling fluid; Shear (geology); Petrology; Engineering","score_opus":0.015321497565219498,"score_gpt":0.23561330484325485,"score_spread":0.22029180727803535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064795501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758351,0.00005097974,0.0031918525,0.000050953367,0.00018352522,0.00007204273,0.000023711027,0.000036276426,0.020555547],"genre_scores_gemma":[0.9992494,0.00023659319,0.0003687065,0.0000074607296,0.00004085435,0.0000055199234,0.000047650952,0.00000811765,0.000035712837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942666,0.000013572315,0.00020529839,0.00014245094,0.000093996954,0.00011804072],"domain_scores_gemma":[0.9998368,0.00003120833,0.00002285441,0.000055324184,0.000025323321,0.000028471082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017621605,0.000095029725,0.00012766216,0.00014417575,0.000012260168,0.000026168007,0.000052752734,0.000047497626,0.00005069629],"category_scores_gemma":[0.000009237368,0.00010390865,0.000011795662,0.00005791528,0.000024385474,0.00016702425,0.000026816842,0.00008963929,0.0000030739482],"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":[0.00045245493,0.0003448939,0.34275755,0.0029271892,0.00028024561,0.00007523067,0.02061352,0.4076578,0.055249028,0.097343534,0.0012630873,0.07103547],"study_design_scores_gemma":[0.0016824537,0.00011680525,0.100994304,0.0010708948,0.000012058571,0.000015038274,0.0064065657,0.8698012,0.010250162,0.0041680406,0.004904682,0.0005777694],"about_ca_topic_score_codex":0.000045304998,"about_ca_topic_score_gemma":0.00016904704,"teacher_disagreement_score":0.46214342,"about_ca_system_score_codex":0.000027001359,"about_ca_system_score_gemma":0.000002659249,"threshold_uncertainty_score":0.42372718},"labels":[],"label_agreement":null},{"id":"W2071561756","doi":"10.2118/172493-ms","title":"Production Optimization of Heterolithic Reservoirs through Completion Strategy and Reservoir Management: A Case Study of Cream Field","year":2014,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Fluvial; Transgressive; Oil shale; Paleontology; Structural basin; Petrology; Sedimentary depositional environment","score_opus":0.039109088682731816,"score_gpt":0.30759193306122307,"score_spread":0.26848284437849124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071561756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.903454,0.00002383651,0.093383215,0.000077142664,0.00019585589,0.0002136734,0.000012933975,0.00004893673,0.0025903874],"genre_scores_gemma":[0.99462086,0.00016913317,0.0049881036,0.000006276494,0.000078325575,0.000016459742,0.00003822309,0.0000120111035,0.00007059992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908143,0.000088481785,0.00033985695,0.00019382234,0.0002001749,0.000096255506],"domain_scores_gemma":[0.99943113,0.000057074758,0.000079107915,0.00014642965,0.00025342286,0.000032855754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029750192,0.00011967541,0.00018034666,0.00014182409,0.000047627007,0.00003711454,0.00006854748,0.000068449,0.000040369323],"category_scores_gemma":[0.000059408987,0.00012374858,0.000021405982,0.000111203066,0.000036065478,0.00040313439,0.000037335707,0.000098757075,4.1895507e-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":[0.000078014775,0.0000980266,0.0010603939,0.0002098734,0.000066947934,0.000009688849,0.0023914883,0.991425,0.0010487981,0.0024134158,0.00007591431,0.001122435],"study_design_scores_gemma":[0.0013679254,0.0009264403,0.002465988,0.0002150792,0.00003809984,0.00010655456,0.012056525,0.9765893,0.0027777737,0.0030129282,0.00018503789,0.00025835342],"about_ca_topic_score_codex":0.00017975722,"about_ca_topic_score_gemma":0.000065570945,"teacher_disagreement_score":0.091166854,"about_ca_system_score_codex":0.00001477452,"about_ca_system_score_gemma":0.000003846978,"threshold_uncertainty_score":0.5046321},"labels":[],"label_agreement":null},{"id":"W2092132021","doi":"10.2118/167522-ms","title":"Activated Carbon, a Possible Carbon Solution in Nigeria","year":2013,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Oil, Gas, and Environmental Issues","field":"Energy","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":"Natural gas; Fossil fuel; Environmental science; Waste management; Gas compressor; Activated carbon; Scarcity; Petroleum engineering; Natural resource economics; Environmental engineering; Engineering; Adsorption; Chemistry","score_opus":0.015508584445980031,"score_gpt":0.24452365355448905,"score_spread":0.22901506910850902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092132021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9458225,0.0000491998,0.0000130766675,0.0010261405,0.0004391569,0.00016643242,0.00001718058,0.00006067672,0.052405667],"genre_scores_gemma":[0.99732447,0.00018957604,0.00009316222,0.0001359077,0.00022717296,0.00006189527,0.00020501584,0.000019185742,0.0017436208],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99875766,0.00006286214,0.00030244672,0.0003492676,0.00024858798,0.0002791514],"domain_scores_gemma":[0.9995671,0.000020418032,0.00009264719,0.00012900842,0.00010084534,0.00008997265],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009587575,0.0001991907,0.00019580185,0.0001649595,0.000054499764,0.00012239309,0.00012460463,0.00015023415,0.0012001991],"category_scores_gemma":[0.000025282572,0.00020074136,0.000038594084,0.00010251073,0.00010298784,0.00055472204,0.00007164126,0.00015793629,0.000093317256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026591774,0.0003306483,0.044776816,0.000035289482,0.00009113144,0.000028970147,0.0074849734,0.00017187116,0.9265959,0.006733009,0.0006275617,0.012857901],"study_design_scores_gemma":[0.0058862846,0.0009994316,0.48787647,0.00074999983,0.00004736445,0.00009846642,0.029401666,0.026520396,0.34374002,0.095158935,0.00693885,0.002582133],"about_ca_topic_score_codex":0.01257983,"about_ca_topic_score_gemma":0.003587398,"teacher_disagreement_score":0.5828559,"about_ca_system_score_codex":0.00013811259,"about_ca_system_score_gemma":0.000023663682,"threshold_uncertainty_score":0.9997128},"labels":[],"label_agreement":null},{"id":"W2261847920","doi":"10.2118/178320-ms","title":"Downhole Electrical Heating techniques in the Orinoco Oil Belt, are they always reliable? Appraisal analysis to Petrocedeño's Pilot Project","year":2015,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Production (economics); Oil production; Oil field; Oil sands; Environmental science; Computer science; Engineering; Geography","score_opus":0.04471484187613446,"score_gpt":0.33143667438406144,"score_spread":0.286721832507927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261847920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93281084,0.00006152638,0.051927928,0.0007549153,0.00029522635,0.00019757212,0.000059933867,0.00029465122,0.013597384],"genre_scores_gemma":[0.9928779,0.00006517565,0.006412901,0.000073612144,0.00023150463,0.000091162765,0.00011001049,0.000015664416,0.00012206086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988108,0.00007677278,0.00029439366,0.00023924583,0.000354194,0.00022458906],"domain_scores_gemma":[0.9993791,0.000105949446,0.000042662734,0.00015345903,0.00024026829,0.000078582714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062531285,0.00017197443,0.00021465152,0.0004388533,0.00005009199,0.00017016134,0.00021096111,0.000074347154,0.000022723238],"category_scores_gemma":[0.00022382838,0.00014133961,0.000045061264,0.0005423709,0.000017117116,0.00029157285,0.00003754876,0.00023883153,0.0000073840706],"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":[0.00050108926,0.00030079272,0.03879744,0.00011463999,0.00054860616,0.00005848637,0.017106667,0.8926783,0.013343059,0.014197896,0.007766147,0.01458684],"study_design_scores_gemma":[0.0017892065,0.00108109,0.029348472,0.00030696104,0.00014451577,0.000059367823,0.009752143,0.92868936,0.0062383735,0.0038705047,0.017363733,0.0013562904],"about_ca_topic_score_codex":0.00024204956,"about_ca_topic_score_gemma":0.0002760803,"teacher_disagreement_score":0.060067043,"about_ca_system_score_codex":0.00008843482,"about_ca_system_score_gemma":0.00003415863,"threshold_uncertainty_score":0.5763662},"labels":[],"label_agreement":null},{"id":"W2310115732","doi":"10.2118/178362-ms","title":"Displacement Calculation of Dynamic Killing Drilling In Deepwater","year":2015,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Drilling and Well Engineering","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":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Displacement (psychology); Drilling fluid; Drilling; Stability (learning theory); Mechanics; Control theory (sociology); Flow (mathematics); Drill; Drill pipe; Boundary value problem; Acceleration; Geology; Mathematics; Computer science; Engineering; Physics; Mathematical analysis; Mechanical engineering; Classical mechanics","score_opus":0.01579154028840664,"score_gpt":0.24985042925725748,"score_spread":0.23405888896885085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310115732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9135991,0.00008561023,0.08335511,0.000078191675,0.00057271187,0.00006952019,0.000018773622,0.000058014437,0.002163027],"genre_scores_gemma":[0.9989292,0.00013713316,0.00068654784,0.000007671741,0.00005441844,0.000006520211,0.00010318091,0.000011754927,0.00006358126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999369,0.00000941254,0.00023267172,0.00011691192,0.0001523785,0.00011958493],"domain_scores_gemma":[0.9997504,0.0000116405,0.000027313841,0.00005485741,0.00010602863,0.00004979394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014438882,0.000097717675,0.00011446218,0.0001390765,0.000011517418,0.000026928949,0.000052047,0.00005435199,0.00002441162],"category_scores_gemma":[0.000012019837,0.00010126326,0.000020851954,0.00006312948,0.000018590546,0.00024035297,0.000016757784,0.00007913887,0.000007403196],"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":[0.000092343245,0.000060392376,0.007986345,0.0001464593,0.00007820426,0.000014101138,0.008844226,0.91792345,0.046715476,0.00501664,0.00017977146,0.012942593],"study_design_scores_gemma":[0.00043101018,0.000031656542,0.0018478904,0.00018737493,0.000004677466,0.000004845144,0.0009067655,0.98952764,0.00497093,0.001575971,0.0003457673,0.0001654885],"about_ca_topic_score_codex":0.00003506392,"about_ca_topic_score_gemma":0.00006258231,"teacher_disagreement_score":0.08533014,"about_ca_system_score_codex":0.0000739269,"about_ca_system_score_gemma":0.000010969174,"threshold_uncertainty_score":0.41293958},"labels":[],"label_agreement":null},{"id":"W2318279705","doi":"10.2118/178267-ms","title":"The Effect Of Wellbore Stability In Naturally Fractured Reservoirs","year":2015,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Calgary","funders":"","keywords":"Borehole; Petroleum engineering; Casing; Underbalanced drilling; Drilling; Geology; Wellbore; Geomechanics; Drilling fluid; Instability; Geotechnical engineering; Completion (oil and gas wells); Fracture (geology); Bed; Measurement while drilling; Drill; Engineering; Mechanics; Mechanical engineering; Anisotropy","score_opus":0.01347410412804878,"score_gpt":0.24359014233731605,"score_spread":0.23011603820926727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318279705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400383,0.00026327546,0.0005983481,0.0002453233,0.00063193514,0.0000954169,0.000028695544,0.00005179248,0.004081353],"genre_scores_gemma":[0.99967223,0.00011710835,0.000042874723,0.000005620569,0.000072193856,0.000008422281,0.000036322614,0.000007927596,0.000037269994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939924,0.0000312112,0.00018218631,0.00010325373,0.00016785931,0.00011624075],"domain_scores_gemma":[0.9996434,0.00008520199,0.000024974537,0.00008904795,0.000111372276,0.00004602176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035478716,0.00009591831,0.00011373036,0.000051356325,0.000021097145,0.000040651426,0.00010940442,0.00006258362,0.000019476644],"category_scores_gemma":[0.00010833096,0.000070827955,0.000025111447,0.00006446106,0.000043484553,0.00018374792,0.000023144969,0.00015303025,0.000004364968],"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":[0.004378777,0.00020803195,0.16976815,0.0013811651,0.0007768921,0.000113567185,0.059361637,0.43934128,0.1816456,0.024532743,0.01854734,0.099944815],"study_design_scores_gemma":[0.0043445854,0.0009958262,0.040340047,0.00075360516,0.000030116329,0.000026859307,0.0051832553,0.6554167,0.25660893,0.014553643,0.020678941,0.001067445],"about_ca_topic_score_codex":0.000045055844,"about_ca_topic_score_gemma":0.00013349362,"teacher_disagreement_score":0.21607547,"about_ca_system_score_codex":0.000044311284,"about_ca_system_score_gemma":0.000013122073,"threshold_uncertainty_score":0.28882802},"labels":[],"label_agreement":null},{"id":"W2325227995","doi":"10.2118/178755-ms","title":"Attentiveness to Community Needs and Corporate Social Responsibility in the Niger Delta Region","year":2015,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","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":"Burman University","funders":"","keywords":"Corporate social responsibility; Niger delta; Multinational corporation; Stakeholder; Corporation; Government (linguistics); Business; Natural resource; Public relations; Economic growth; Political science; Economics; Delta; Law","score_opus":0.12574030288773053,"score_gpt":0.31498267881082387,"score_spread":0.18924237592309334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325227995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98720855,0.000006752081,0.00042692333,0.0074549774,0.0002407436,0.00029792686,0.0000144960395,0.00003362562,0.0043160096],"genre_scores_gemma":[0.9977937,0.0000031584264,0.000025096064,0.0015160984,0.0003710259,0.000022436876,0.00009758198,0.000009065827,0.00016186711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986848,0.0002197739,0.00035272338,0.0002258146,0.00033757545,0.00017931055],"domain_scores_gemma":[0.9985909,0.00009504118,0.00030491516,0.00015486404,0.0008276355,0.000026670174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024552916,0.0001459545,0.00017942801,0.00025480284,0.00027901804,0.00044211026,0.000201492,0.00008326074,0.000022134696],"category_scores_gemma":[0.0008644543,0.00012744564,0.000035234905,0.00044232045,0.0001585499,0.0012416148,0.00025534985,0.0002609106,0.000018617815],"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":[0.0036439837,0.00043834178,0.8263861,0.00012125113,0.000048109487,0.00010871899,0.034949612,0.000023887467,0.0042915395,0.103204615,0.0044769067,0.022306962],"study_design_scores_gemma":[0.0009400267,0.00007260447,0.71594286,0.00009953196,0.000017858985,0.000024759496,0.08391703,0.0005180908,0.00006666546,0.1929033,0.0051112887,0.0003860074],"about_ca_topic_score_codex":0.0016808478,"about_ca_topic_score_gemma":0.0024477749,"teacher_disagreement_score":0.11044323,"about_ca_system_score_codex":0.000073572985,"about_ca_system_score_gemma":0.00008428556,"threshold_uncertainty_score":0.5197083},"labels":[],"label_agreement":null},{"id":"W2462738471","doi":"10.2118/184283-ms","title":"Development of Recovery Factor Model For Water Drive and Depletion Drive Reservoirs in The Niger Delta","year":2016,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ambrose University","funders":"","keywords":"Niger delta; Petroleum engineering; Enhanced oil recovery; Saturation (graph theory); Residual oil; Oil viscosity; Oil in place; Permeability (electromagnetism); Geology; Petrophysics; Oil field; Water saturation; Viscosity; Environmental science; Porosity; Delta; Geotechnical engineering; Petroleum; Chemistry; Engineering; Materials science; Mathematics","score_opus":0.037649797158582306,"score_gpt":0.28564146428671755,"score_spread":0.24799166712813525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462738471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70073843,0.000010974859,0.29857868,0.0002465607,0.00008971739,0.00011278997,0.00007459907,0.000017021697,0.00013119756],"genre_scores_gemma":[0.9858771,0.00010733794,0.013739209,0.000018658697,0.00004045514,0.000041856263,0.000064856584,0.00001017167,0.00010035902],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931836,0.00002422742,0.00024794543,0.00013920438,0.00014170422,0.00012854325],"domain_scores_gemma":[0.9996398,0.00008894365,0.000026178563,0.000074649775,0.00014220482,0.000028223778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025171592,0.00010302378,0.00011271661,0.000108092434,0.00003556217,0.000034009372,0.00008642152,0.00006878255,0.000031638825],"category_scores_gemma":[0.000044867244,0.000062878134,0.000024977773,0.000029861983,0.000028706389,0.00029936957,0.00002330717,0.00005424768,0.0000017658783],"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":[0.0006183875,0.000106510204,0.005753962,0.00034023335,0.00024179343,0.000004863403,0.057372436,0.27870816,0.59491765,0.012279164,0.0008261283,0.04883069],"study_design_scores_gemma":[0.001900207,0.000101676414,0.010921723,0.0003283227,0.000011004995,0.0000066798743,0.002165349,0.89222044,0.07059794,0.018788425,0.0024866757,0.00047154605],"about_ca_topic_score_codex":0.0000041423705,"about_ca_topic_score_gemma":0.00006516912,"teacher_disagreement_score":0.6135123,"about_ca_system_score_codex":0.000036716156,"about_ca_system_score_gemma":0.000015350683,"threshold_uncertainty_score":0.25640962},"labels":[],"label_agreement":null},{"id":"W2466239535","doi":"10.2118/184319-ms","title":"Optimizing Well Design and Delivery for Wellbore Stability Management by Minimizing Subsurface Uncertainties","year":2016,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Drilling; Petroleum engineering; Oil shale; Drilling fluid; Sonic logging; Offset (computer science); Porosity; Permeability (electromagnetism); Pore water pressure; Coring; Lithology; Geotechnical engineering; Compressive strength; Instability; Well logging; Soil science; Petrology; Mechanics; Engineering; Materials science; Computer science","score_opus":0.019558658738446883,"score_gpt":0.2334721852896721,"score_spread":0.2139135265512252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466239535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50389147,0.0003805908,0.49145085,0.0012135697,0.0002631437,0.00026736845,0.00015606773,0.00012073241,0.0022562074],"genre_scores_gemma":[0.99220705,0.001891599,0.0051847287,0.00003677179,0.00005409972,0.000031752286,0.000052348543,0.000013976046,0.0005276822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920744,0.000027623715,0.00019572508,0.00024820524,0.0001398789,0.00018115118],"domain_scores_gemma":[0.9995885,0.00009435692,0.000035732064,0.00009077268,0.00012365704,0.00006699707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020019658,0.00014729715,0.00014554833,0.00007455248,0.00008476205,0.00009135571,0.00009122464,0.00006793674,0.00017143768],"category_scores_gemma":[0.000013472405,0.00011529576,0.000042788604,0.000037398488,0.00007110514,0.00032500736,0.00003815428,0.00005283528,0.000006884246],"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":[0.002637103,0.0005043866,0.0053848336,0.002330219,0.0042455555,0.00007381338,0.019677356,0.17458192,0.48507452,0.007403647,0.10234548,0.19574118],"study_design_scores_gemma":[0.0058471835,0.00055211375,0.0019592503,0.0015181253,0.0003279057,0.000026640124,0.022322267,0.49417594,0.3844426,0.012741626,0.07357779,0.0025085516],"about_ca_topic_score_codex":0.000026687178,"about_ca_topic_score_gemma":0.000017757604,"teacher_disagreement_score":0.48831558,"about_ca_system_score_codex":0.000057029392,"about_ca_system_score_gemma":0.000008114928,"threshold_uncertainty_score":0.47016248},"labels":[],"label_agreement":null},{"id":"W2466554343","doi":"10.2118/184370-ms","title":"Dimensionless Inflow Performance Relationship IPR for Gas Wells Using the Back Pressure Equation","year":2016,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dimensionless quantity; Turbulence; Inflow; Laminar flow; Mechanics; Flow (mathematics); Field (mathematics); Consistency (knowledge bases); Range (aeronautics); Thermodynamics; Environmental science; Mathematics; Physics; Materials science; Geometry","score_opus":0.06029273616339667,"score_gpt":0.29789026189450724,"score_spread":0.23759752573111056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466554343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.654128,0.00006035411,0.34349108,0.0006111666,0.00055792276,0.00020115094,0.00007880505,0.000068292866,0.00080318033],"genre_scores_gemma":[0.9931199,0.00013390231,0.0055982224,0.00003172245,0.00024907177,0.00002364818,0.000049170158,0.000018175711,0.0007762098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992509,0.000039547514,0.00023008052,0.00015650762,0.00017317412,0.00014977921],"domain_scores_gemma":[0.9993003,0.0002324898,0.000048171838,0.00012677787,0.00024782436,0.00004443845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029373908,0.00012765737,0.00010399849,0.00007897726,0.00011175158,0.00007678979,0.00010520804,0.00008863225,0.0001725215],"category_scores_gemma":[0.000102985236,0.00008762285,0.000039143957,0.0000678201,0.00004187718,0.0005661683,0.00002232788,0.00008319873,0.000020442092],"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":[0.00016944924,0.00002681247,0.012486021,0.00018387081,0.00013620796,8.2965823e-7,0.0013944277,0.8900966,0.058874864,0.020880874,0.0017341803,0.014015839],"study_design_scores_gemma":[0.00066347845,0.000041130053,0.006089108,0.00019550206,0.000018717146,0.0000064228375,0.00014402936,0.973254,0.0068665897,0.004530135,0.007974982,0.00021588354],"about_ca_topic_score_codex":0.0000051316542,"about_ca_topic_score_gemma":0.0000030417657,"teacher_disagreement_score":0.33899185,"about_ca_system_score_codex":0.00003704508,"about_ca_system_score_gemma":0.000017611263,"threshold_uncertainty_score":0.3573156},"labels":[],"label_agreement":null},{"id":"W2470273237","doi":"10.2118/184263-ms","title":"Evaluation of the Methodologies of Analyzing Production and Pressure Data of Tight Gas Reservoir","year":2016,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Calgary","funders":"","keywords":"Production (economics); Tight gas; Material balance; Petroleum engineering; Work (physics); Reservoir engineering; Audit; Computer science; Operations research; Environmental science; Geology; Mathematics; Engineering; Accounting; Process engineering; Economics; Mechanical engineering; Hydraulic fracturing","score_opus":0.14227372516430087,"score_gpt":0.37079457471141963,"score_spread":0.22852084954711877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470273237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737151,0.0003694281,0.024287673,0.00040574843,0.0003454851,0.00013229795,0.00016677188,0.000019306566,0.00055817154],"genre_scores_gemma":[0.9951059,0.000405752,0.0043383464,9.833964e-7,0.00005401038,0.0000034548152,0.000017470373,0.000005757308,0.000068328794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990153,0.0001786688,0.00026156483,0.00014470183,0.0003389711,0.000060850285],"domain_scores_gemma":[0.9988654,0.00012044143,0.00010526096,0.00025083055,0.00064205297,0.000015972879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015848449,0.00007339149,0.00013862851,0.00008669691,0.00001695045,0.000009023934,0.00016758399,0.000053367607,0.000058203488],"category_scores_gemma":[0.0011794083,0.00004785559,0.000021140144,0.000085290936,0.00009010422,0.00036548424,0.00008686634,0.000048614547,2.0678857e-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":[0.00011613213,0.000032913926,0.012200564,0.00036824564,0.0003943327,1.8480458e-7,0.0016679075,0.17628787,0.7568741,0.004732592,0.0006858861,0.04663927],"study_design_scores_gemma":[0.0010205288,0.000097785276,0.06670994,0.0010782437,0.00025193146,0.000008189952,0.00090783986,0.41090438,0.49180937,0.026163384,0.00077017024,0.0002782228],"about_ca_topic_score_codex":0.00001692665,"about_ca_topic_score_gemma":0.000019777315,"teacher_disagreement_score":0.26506472,"about_ca_system_score_codex":0.000012073675,"about_ca_system_score_gemma":0.000025558635,"threshold_uncertainty_score":0.19514942},"labels":[],"label_agreement":null},{"id":"W2740105551","doi":"10.2118/189059-ms","title":"The Effect of Regulation on the Development of Natural Gas Value Chain in Nigeria","year":2017,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural gas; Scarcity; Natural resource economics; Value (mathematics); Natural resource; Business; Value chain; Government (linguistics); Economics; Economic growth; Market economy; Commerce; Supply chain; Engineering; Waste management; Marketing; Political science","score_opus":0.014825218546689924,"score_gpt":0.2654795587541669,"score_spread":0.25065434020747696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740105551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890129,0.000031893444,0.000019229577,0.00096341834,0.0003775468,0.00012388887,0.000010766604,0.000005963974,0.009454374],"genre_scores_gemma":[0.9991982,0.000064104,0.000053548236,0.000020581354,0.00008082855,0.000017768309,0.000044606535,0.0000065938348,0.0005137553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912167,0.000092291375,0.00027331655,0.00014910323,0.00025143794,0.000112178284],"domain_scores_gemma":[0.99940485,0.0001292648,0.00021419731,0.00018508053,0.00004715373,0.000019426496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044054328,0.00011206094,0.0001369596,0.000043993467,0.0002169634,0.0000661386,0.00022223995,0.000052527597,0.000113370195],"category_scores_gemma":[0.000115819865,0.00006848244,0.000037859085,0.000020670263,0.00020167824,0.00018958512,0.00007028598,0.00009166789,0.0000130840845],"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":[0.0037001192,0.00024892468,0.07064996,0.00013159914,0.00033202156,0.000008992637,0.029479213,0.00079312024,0.34555656,0.34239686,0.00073829514,0.20596436],"study_design_scores_gemma":[0.0013029063,0.00044205112,0.4395693,0.0004498769,0.000011128114,0.0000037743462,0.003559164,0.0021222974,0.53216213,0.017359154,0.0027361966,0.00028201586],"about_ca_topic_score_codex":0.00021518573,"about_ca_topic_score_gemma":0.0013873869,"teacher_disagreement_score":0.36891934,"about_ca_system_score_codex":0.00004348995,"about_ca_system_score_gemma":0.000014227622,"threshold_uncertainty_score":0.2792633},"labels":[],"label_agreement":null},{"id":"W2740514564","doi":"10.2118/189118-ms","title":"Prediction of Sand Production from Oil and Gas Reservoirs in the Niger Delta Using Support Vector Machines SVMs: A Binary Classification Approach","year":2017,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"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":"Niger delta; Support vector machine; Petroleum engineering; Petroleum; Petroleum industry; Oil field; Production (economics); Oil production; Binary classification; Fossil fuel; Mining engineering; Geology; Delta; Engineering; Artificial intelligence; Computer science; Environmental engineering; Waste management","score_opus":0.07158134011262392,"score_gpt":0.3069351710137466,"score_spread":0.23535383090112272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740514564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991355,0.00006740351,0.0054519996,0.000516971,0.00043160203,0.00008246675,0.00016794883,0.00003697971,0.0018896239],"genre_scores_gemma":[0.99621964,0.000489383,0.0026548796,0.00000725292,0.00024437738,0.000020021691,0.000285408,0.000012538043,0.000066526496],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911094,0.00006642192,0.00027601057,0.00021989543,0.00021796122,0.00010875497],"domain_scores_gemma":[0.99945956,0.000039543866,0.0000966146,0.00022808957,0.00014372861,0.000032439846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040996642,0.00012717018,0.00014433356,0.00012854463,0.00012142448,0.00014505944,0.00015772964,0.000092858056,0.000028852277],"category_scores_gemma":[0.0001295376,0.00010917159,0.000026399382,0.0000576704,0.00008722143,0.0006601805,0.00003348647,0.00015020203,7.896614e-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":[0.00061116717,0.00031033275,0.11277726,0.00061138626,0.0002626893,0.000015766349,0.019907586,0.2512302,0.56942487,0.003006363,0.0013604495,0.040481947],"study_design_scores_gemma":[0.00048723162,0.000044898843,0.15093571,0.00012416282,0.000016162006,0.000013898501,0.0011654008,0.843488,0.0018555543,0.0014845843,0.00023704884,0.0001473917],"about_ca_topic_score_codex":0.00020625598,"about_ca_topic_score_gemma":0.000029449739,"teacher_disagreement_score":0.59225774,"about_ca_system_score_codex":0.000032826792,"about_ca_system_score_gemma":0.000017442524,"threshold_uncertainty_score":0.44518882},"labels":[],"label_agreement":null},{"id":"W2895904483","doi":"10.2118/193428-ms","title":"Optimizing Water Injection Operational Parameters for Improved Oil Recovery","year":2018,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Water injection (oil production); Petroleum engineering; Environmental science; Oil production; Work (physics); Recovery rate; Enhanced oil recovery; Production rate; Production (economics); Energy recovery; Water cut; Energy (signal processing); Process engineering; Engineering; Mathematics; Mechanical engineering","score_opus":0.025168132024322293,"score_gpt":0.28071141593930654,"score_spread":0.25554328391498426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895904483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5621761,0.00002169001,0.43153143,0.00045670272,0.0018702513,0.000108797045,0.000114361144,0.00018031606,0.0035403464],"genre_scores_gemma":[0.9504976,0.00009659572,0.047166746,0.00011529068,0.0006441901,0.00005885785,0.00041232226,0.000025676405,0.0009826951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992865,0.000019517793,0.00022058834,0.0001941392,0.00010192127,0.00017735414],"domain_scores_gemma":[0.99947435,0.000041960764,0.000020795718,0.00008168055,0.00032602853,0.000055179607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020501162,0.0001351715,0.00011849598,0.0001249575,0.00010049379,0.0001595699,0.00007680059,0.00009422525,0.00020062768],"category_scores_gemma":[0.000045285604,0.00012211928,0.000048443166,0.00004326656,0.000042794105,0.00053820387,0.000020656573,0.0000850901,0.00001773513],"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":[0.00051957724,0.000051866184,0.000103609105,0.000121079356,0.00027292248,0.0000017829511,0.0040960168,0.5497485,0.38788816,0.004431823,0.0034458467,0.04931883],"study_design_scores_gemma":[0.00076838874,0.00023554418,0.000096453914,0.000054521715,0.000010300939,0.000012516512,0.0003476674,0.92464024,0.06209428,0.0033566924,0.008077509,0.0003058898],"about_ca_topic_score_codex":0.00001361276,"about_ca_topic_score_gemma":0.000014856102,"teacher_disagreement_score":0.38832152,"about_ca_system_score_codex":0.000053644246,"about_ca_system_score_gemma":0.000013023671,"threshold_uncertainty_score":0.497988},"labels":[],"label_agreement":null},{"id":"W2896609159","doi":"10.2118/193400-ms","title":"Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir: Constarained versus Unconstrained Optimization","year":2018,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Petroleum Technology Development Fund; Energi Simulation","keywords":"Enhanced oil recovery; Reservoir simulation; Petroleum engineering; Latin hypercube sampling; Permeability (electromagnetism); Flooding (psychology); Oil in place; Reservoir engineering; Computer science; Environmental science; Geology; Petroleum; Mathematics; Monte Carlo method","score_opus":0.03267335123777442,"score_gpt":0.30598225071418084,"score_spread":0.2733088994764064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896609159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76287663,0.000055919965,0.232972,0.000088347784,0.0006267248,0.00011261447,0.000039423077,0.000096735996,0.0031316134],"genre_scores_gemma":[0.99527085,0.00003959241,0.004375371,0.000011403551,0.00016508556,0.000007752272,0.000080819904,0.000016279711,0.000032845586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990601,0.00004889646,0.00035382842,0.00018187588,0.00019447689,0.00016079926],"domain_scores_gemma":[0.9994099,0.0001200441,0.000053717384,0.00010262833,0.0002552837,0.000058405163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001735073,0.00014042674,0.00017728655,0.00022822803,0.00003463207,0.000051031275,0.00009101471,0.00010397823,0.00036173052],"category_scores_gemma":[0.000117947864,0.0001540658,0.0000382119,0.00018379997,0.00008688851,0.00036800306,0.000021006217,0.00009937849,0.0000052077853],"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":[0.00020372478,0.000015241309,0.00028273082,0.000018175206,0.000028941562,0.0000027404917,0.0005679679,0.99343485,0.0041204114,0.00062492205,0.000012326065,0.00068799534],"study_design_scores_gemma":[0.0010607305,0.00010702856,0.00014075857,0.00006606426,0.0000049780965,0.000003407299,0.0002647473,0.9869651,0.0109465085,0.00023217499,0.00005856439,0.00014989129],"about_ca_topic_score_codex":0.00002923776,"about_ca_topic_score_gemma":0.00002308984,"teacher_disagreement_score":0.23239422,"about_ca_system_score_codex":0.000051516512,"about_ca_system_score_gemma":0.0000242353,"threshold_uncertainty_score":0.6282621},"labels":[],"label_agreement":null},{"id":"W2898032389","doi":"10.2118/193430-ms","title":"Empirical Correlation for Estimation of the Vapourized Oil-Gas Ratio for Gas-Condensate Systems","year":2018,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Gas oil ratio; Fossil fuel; Equation of state; Petroleum engineering; Oil field; Natural gas; Environmental science; Thermodynamics; Engineering; Physics; Waste management","score_opus":0.03775168585956334,"score_gpt":0.3217738989830117,"score_spread":0.28402221312344833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898032389","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":[0.38914722,0.000027440166,0.608257,0.0002777926,0.0013343383,0.00021507997,0.000121422796,0.000055442924,0.00056429347],"genre_scores_gemma":[0.99131167,0.000023001081,0.007698679,0.000020222147,0.0003540677,0.00007825412,0.00012653688,0.000016160351,0.00037142457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999225,0.000033164768,0.000319979,0.00014232603,0.00015994169,0.000119581775],"domain_scores_gemma":[0.9991432,0.00013099662,0.000086016196,0.000108150656,0.00049705245,0.00003462049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029266614,0.0001145973,0.00015297427,0.00007774303,0.00008410181,0.00007099592,0.00009731929,0.00009705957,0.000026548849],"category_scores_gemma":[0.00019546869,0.00009663628,0.00006368735,0.000070643815,0.0000548882,0.0002486858,0.000014635511,0.00006261675,0.0000033762474],"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":[0.00023144168,0.000026468091,0.00042520696,0.00025310455,0.000095613635,1.8967053e-7,0.0016167064,0.9444953,0.027060425,0.015449567,0.0020307282,0.008315255],"study_design_scores_gemma":[0.0007107624,0.00006904536,0.00038908588,0.00010210309,0.00001425147,0.000003312943,0.00016450626,0.98618084,0.007397422,0.0036427905,0.001218729,0.00010712103],"about_ca_topic_score_codex":0.000007882309,"about_ca_topic_score_gemma":0.0000069473776,"teacher_disagreement_score":0.60216445,"about_ca_system_score_codex":0.000040442086,"about_ca_system_score_gemma":0.000026147514,"threshold_uncertainty_score":0.3940713},"labels":[],"label_agreement":null},{"id":"W3047498250","doi":"10.2118/203626-ms","title":"Effect of Amine Structure on the Corrosivity of a Carbon Steel Natural Gas Processing Plant","year":2020,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Corrosion Behavior and Inhibition","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 Regina","funders":"","keywords":"Alkyl; Ethylenediamine; Chemistry; Corrosion; Amine gas treating; Metal; Diamine; Amine oxidase (copper-containing); Molecule; Polymer chemistry; Medicinal chemistry; Nuclear chemistry; Organic chemistry; Diamine oxidase; Enzyme","score_opus":0.01792804549104771,"score_gpt":0.26413779979815377,"score_spread":0.24620975430710607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047498250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767876,0.000021378066,0.00008299661,0.000839328,0.0002954083,0.0001880749,0.0005394852,0.0000189502,0.00033560663],"genre_scores_gemma":[0.9995891,0.000011710389,0.000019916666,0.00012740155,0.00010336867,0.0000074290524,0.00011668337,0.000006128781,0.000018262306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900365,0.000096914744,0.0002456622,0.00021354394,0.00033746244,0.000102788654],"domain_scores_gemma":[0.9993765,0.0000762018,0.00020093404,0.00007779294,0.00022681302,0.000041795516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016806158,0.0001285825,0.0001905073,0.000041681848,0.000054542103,0.000045974877,0.00012887044,0.00005534884,0.00033632058],"category_scores_gemma":[0.00010136833,0.00008442112,0.000041246294,0.000072573406,0.00012562856,0.00018462137,0.000056004515,0.00012688815,0.0000027576211],"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":[0.00057371374,0.000020621144,0.000587666,0.000055262484,0.0000012635687,0.0000018866683,0.000890467,0.000008123787,0.99579877,0.0006472718,0.00011218903,0.0013027497],"study_design_scores_gemma":[0.00037248066,0.0007376543,0.0011127505,0.00020306451,0.000014232121,0.000009541043,0.00044755946,0.002338003,0.994459,0.00018266022,0.000026493404,0.00009661454],"about_ca_topic_score_codex":0.00003216112,"about_ca_topic_score_gemma":0.000021264446,"teacher_disagreement_score":0.0023298792,"about_ca_system_score_codex":0.000017812288,"about_ca_system_score_gemma":0.00002977244,"threshold_uncertainty_score":0.36824745},"labels":[],"label_agreement":null},{"id":"W3188548691","doi":"10.2118/208233-ms","title":"Slug Frequency Prediction Model for Fluid Flow in Flowline Bends","year":2021,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Fluid Dynamics and Mixing","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":"Memorial University of Newfoundland","funders":"","keywords":"Slugging; Choke; Slug flow; Flow (mathematics); Multiphase flow; Dimensionless quantity; Range (aeronautics); Mechanics; Two-phase flow; Computer science; Engineering; Physics","score_opus":0.016127593264405205,"score_gpt":0.24232624667347782,"score_spread":0.2261986534090726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188548691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5544594,0.00022925217,0.43420973,0.00056482025,0.0012561731,0.00017829316,0.0014460696,0.00012756932,0.0075286725],"genre_scores_gemma":[0.9917297,0.00047966014,0.005895434,0.000063831234,0.00020374966,0.000041649473,0.0011650063,0.000016667565,0.0004043291],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992882,0.0000080825375,0.00023557975,0.00019714869,0.00011625142,0.0001547183],"domain_scores_gemma":[0.9996094,0.000014680497,0.000017336128,0.000075259835,0.00023811181,0.000045218258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094217015,0.00011355038,0.00011683608,0.0000997425,0.000037661495,0.00006512435,0.00005796161,0.00008692375,0.00012594687],"category_scores_gemma":[0.000029782494,0.00013046541,0.000040003,0.00006674824,0.000016621605,0.00034938,0.000021828773,0.0000934323,0.0000046795276],"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":[0.000110523724,0.00015932234,0.001920361,0.00019619551,0.0001303626,0.000040810723,0.0040476182,0.32301056,0.5347288,0.112698525,0.0034979288,0.019458942],"study_design_scores_gemma":[0.0004291212,0.000023005692,0.0005077096,0.00007286969,0.0000044395047,0.000009514099,0.00021979999,0.98169094,0.0021996335,0.014502627,0.00021485695,0.00012550311],"about_ca_topic_score_codex":0.000011379216,"about_ca_topic_score_gemma":0.00027389437,"teacher_disagreement_score":0.6586804,"about_ca_system_score_codex":0.000071994546,"about_ca_system_score_gemma":0.000042814856,"threshold_uncertainty_score":0.53202254},"labels":[],"label_agreement":null},{"id":"W3188957028","doi":"10.2118/208452-ms","title":"Surrogate-Based Analysis of Chemical Enhanced Oil Recovery – A Comparative Analysis of Machine Learning Model Performance","year":2021,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","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":"Memorial University of Newfoundland","funders":"","keywords":"Support vector machine; Random forest; Decision tree; Computer science; Machine learning; Artificial intelligence; Gradient boosting; Lasso (programming language); Elastic net regularization; Linear regression; Feature selection","score_opus":0.028916230690089736,"score_gpt":0.2929726326184008,"score_spread":0.26405640192831104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188957028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8706641,0.000052035262,0.12733021,0.000018718676,0.000053881966,0.000015445486,0.00019035513,0.000031673946,0.0016435534],"genre_scores_gemma":[0.9938576,0.00017757968,0.0048025795,0.0000068908234,0.000013040383,0.0000053348936,0.0009925347,0.00000586597,0.0001385332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912757,0.000043053788,0.00034070975,0.0001712716,0.00021707044,0.00010033931],"domain_scores_gemma":[0.9991918,0.00010030538,0.00008635477,0.00010503382,0.0004747652,0.000041742504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001610721,0.00011844216,0.00041647046,0.00046196865,0.000018660461,0.00002312455,0.000073910036,0.00006899474,0.00024642303],"category_scores_gemma":[0.00005101509,0.00012667043,0.00016059453,0.0007932016,0.000036120116,0.00017689931,0.000020216065,0.00012207212,8.1388794e-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":[0.000052066982,0.00002143716,0.0017018246,0.000035554534,0.0012468224,5.357892e-7,0.0005106941,0.8746101,0.12096634,0.00016743322,0.000002901372,0.0006842547],"study_design_scores_gemma":[0.00021896609,0.000017477065,0.0017511038,0.00003223489,0.00033980384,1.8807259e-7,0.00013514272,0.84888154,0.1484817,0.000032900385,0.000010058934,0.000098914126],"about_ca_topic_score_codex":0.000016717646,"about_ca_topic_score_gemma":0.0000310266,"teacher_disagreement_score":0.12319351,"about_ca_system_score_codex":0.000032707758,"about_ca_system_score_gemma":0.000030958214,"threshold_uncertainty_score":0.5165471},"labels":[],"label_agreement":null},{"id":"W3189937781","doi":"10.2118/207177-ms","title":"Modelling the Spread of Covid-19 in a Typical Oil and Gas Facility Setting","year":2021,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"COVID-19 epidemiological studies","field":"Mathematics","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 Toronto","funders":"","keywords":"Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Social distance; Distancing; Work (physics); Risk analysis (engineering); Computer science; Population; Business; Computer security; Infectious disease (medical specialty); Engineering; Environmental health; Medicine; Disease","score_opus":0.18750080501401176,"score_gpt":0.3972789657246187,"score_spread":0.20977816071060693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189937781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95865166,0.00014334716,0.019465158,0.01995506,0.00007405428,0.000055271896,0.00017936822,0.000021923002,0.0014541515],"genre_scores_gemma":[0.9973411,0.00062967365,0.0012615438,0.00052980427,0.0000442254,0.000013060353,0.00003155903,0.000002810905,0.00014623054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998959,0.00016344893,0.00033530194,0.00025274855,0.00016282761,0.0001266489],"domain_scores_gemma":[0.9984255,0.0011177188,0.00010245229,0.0000957145,0.00020351034,0.000055143995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006421655,0.000100888676,0.0002130957,0.00003416218,0.000078154626,0.000031072475,0.00007685929,0.00007069838,0.0001827009],"category_scores_gemma":[0.002826684,0.0000743617,0.00003852294,0.00006692402,0.00015962901,0.000106393745,0.00015296447,0.00014870118,0.0000025366855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011608304,0.00062175054,0.09220177,0.0011490027,0.00028341624,0.0001258984,0.031894527,0.004846526,0.008134268,0.8166847,0.0034278994,0.039469365],"study_design_scores_gemma":[0.0008079735,0.00007248062,0.003922221,0.00019986751,0.000022762335,0.000033075336,0.010391432,0.048915535,0.0006886061,0.9312441,0.0034435138,0.0002584792],"about_ca_topic_score_codex":0.00032538595,"about_ca_topic_score_gemma":0.0004106597,"teacher_disagreement_score":0.11455931,"about_ca_system_score_codex":0.0000590432,"about_ca_system_score_gemma":0.00008384249,"threshold_uncertainty_score":0.3384009},"labels":[],"label_agreement":null},{"id":"W4289100930","doi":"10.2118/212000-ms","title":"Hydrate Risk Management and Evaluation for Gas-Dominated Systems Using Machine Learning","year":2022,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Methane Hydrates and Related Phenomena","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":"University of Calgary","funders":"","keywords":"Flow assurance; Clathrate hydrate; Hydrate; Petroleum engineering; Pipeline transport; Submarine pipeline; Volumetric flow rate; Flow (mathematics); Wet gas; Multiphase flow; Environmental science; Computer science; Geology; Thermodynamics; Chemistry; Mechanics; Environmental engineering; Geotechnical engineering; Physics","score_opus":0.0241240894254993,"score_gpt":0.2699924161259942,"score_spread":0.24586832670049488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289100930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907089,0.00020742681,0.002159806,0.0001390223,0.00037727138,0.0005420607,0.00015120939,0.000021241303,0.0056931],"genre_scores_gemma":[0.9975239,0.00031227985,0.00068392226,0.000036455855,0.00004219863,0.00009966025,0.00029648058,0.000010336793,0.0009947832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988375,0.0001790228,0.00020090738,0.00029938956,0.000338825,0.00014436437],"domain_scores_gemma":[0.9996575,0.000027925342,0.00015845214,0.000059122896,0.000046092897,0.00005089104],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007791082,0.000111195885,0.00010674422,0.00006830705,0.0004084351,0.00008268156,0.00007890454,0.000032511838,0.0015885908],"category_scores_gemma":[0.000013828489,0.00010744254,0.000024581625,0.00008441549,0.00005352151,0.0002678961,0.00018134492,0.00014548888,0.000009556326],"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":[0.0024955566,0.00064534217,0.0795273,0.00025181333,0.0009651143,0.00006023679,0.016070683,0.59689015,0.112664476,0.031186977,0.0018375337,0.1574048],"study_design_scores_gemma":[0.0010959577,0.00019067567,0.001125101,0.000024913523,0.00006764155,0.000027948228,0.003008745,0.9799432,0.00024429528,0.007728463,0.0063415044,0.0002015359],"about_ca_topic_score_codex":0.00044954117,"about_ca_topic_score_gemma":0.000024307756,"teacher_disagreement_score":0.38305306,"about_ca_system_score_codex":0.00014104992,"about_ca_system_score_gemma":0.0000072543717,"threshold_uncertainty_score":0.9993241},"labels":[],"label_agreement":null},{"id":"W4289101150","doi":"10.2118/212027-ms","title":"Torque and Drag Calculations in Multilateral Wells","year":2022,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","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 Calgary","funders":"","keywords":"Drill string; Drag; Torque; Drilling; Mechanics; Drill pipe; Trajectory; Tripping; Curvature; Geology; Computer science; Engineering; Mechanical engineering; Physics; Mathematics; Geometry","score_opus":0.010477509308943218,"score_gpt":0.22617733524717307,"score_spread":0.21569982593822984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289101150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99281895,0.00007462831,0.0024728756,0.00028302052,0.0005571871,0.00007571089,0.000101800564,0.000085723324,0.0035300765],"genre_scores_gemma":[0.99924046,0.000096836055,0.00018401886,0.000048917984,0.00007107541,0.000022707765,0.00009791342,0.000010536383,0.00022754431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950063,0.000012664017,0.00014025188,0.00012676297,0.000108433705,0.00011123943],"domain_scores_gemma":[0.99986,0.000014856519,0.000013277357,0.000046133722,0.00002807156,0.00003768618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007995857,0.00008499129,0.0000811432,0.00011956831,0.000058811947,0.000046764566,0.00004867349,0.00002916679,0.0002826608],"category_scores_gemma":[0.000005769393,0.00009967759,0.000015438674,0.000057628284,0.00001880166,0.00019302571,0.000040668558,0.00013866891,0.000005070972],"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":[0.000090083355,0.00011468362,0.023082469,0.00011183711,0.000107477084,0.000087667904,0.012931699,0.85764796,0.050300926,0.037140917,0.0023847448,0.015999561],"study_design_scores_gemma":[0.00083143753,0.000069362184,0.034759812,0.00007363813,0.0000066610255,0.000060661157,0.0020537379,0.9431554,0.0016536543,0.0030105293,0.013887672,0.00043744736],"about_ca_topic_score_codex":0.00007867282,"about_ca_topic_score_gemma":0.000048084374,"teacher_disagreement_score":0.08550746,"about_ca_system_score_codex":0.000050448216,"about_ca_system_score_gemma":0.000007666712,"threshold_uncertainty_score":0.40647343},"labels":[],"label_agreement":null},{"id":"W4385376748","doi":"10.2118/217095-ms","title":"Application of ANN-Based Proxy and Metaheuristic Algorithms in Well Spacing Optimization in a Fractured Tight Reservoir","year":2023,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","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":true,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Particle swarm optimization; Computer science; Metaheuristic; Algorithm; Mathematical optimization; Reservoir simulation; Multilayer perceptron; Artificial intelligence; Geology; Mathematics; Petroleum engineering","score_opus":0.017135033042237943,"score_gpt":0.2853616989794623,"score_spread":0.26822666593722433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385376748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5962952,0.000075772565,0.40195516,0.00034215976,0.00015762291,0.0002600479,0.000047216796,0.00011559039,0.0007512492],"genre_scores_gemma":[0.9909409,0.00014111938,0.008542492,0.0000099955005,0.00004159191,0.000040216804,0.00023049096,0.0000145875165,0.000038596023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918026,0.000043024393,0.0002969037,0.0001858898,0.00016461046,0.00012930846],"domain_scores_gemma":[0.9996294,0.00008608628,0.000046937774,0.00008862003,0.000110366134,0.000038586462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003237143,0.000115433475,0.00016681784,0.00043822237,0.000018280116,0.000036350037,0.000066301924,0.00009213626,0.000032984826],"category_scores_gemma":[0.000078503894,0.00012273571,0.000018987957,0.00033193416,0.000027892402,0.00024448303,0.000019147908,0.00012472422,0.0000032869618],"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":[0.000029480741,0.000013374332,0.004821108,0.00007421947,0.0000077999675,0.0000034344816,0.0004955575,0.99029386,0.0031611244,0.000290061,0.00002899961,0.0007809638],"study_design_scores_gemma":[0.00053138303,0.000022024957,0.01511676,0.00009413163,0.000002946017,0.0000010070631,0.00018538066,0.9809786,0.001822237,0.0009411767,0.00018914275,0.000115176845],"about_ca_topic_score_codex":0.0000661765,"about_ca_topic_score_gemma":0.000042910982,"teacher_disagreement_score":0.39464572,"about_ca_system_score_codex":0.000038365033,"about_ca_system_score_gemma":0.000016028182,"threshold_uncertainty_score":0.50050175},"labels":[],"label_agreement":null},{"id":"W4401349232","doi":"10.2118/221709-ms","title":"Assessing the Viability and Impact of Off Grid Systems for Sustainable Electrification of Rural Communities in Sub-Saharan Africa","year":2024,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"","keywords":"Rural electrification; Electrification; Grid; Sustainable development; Environmental planning; Geography; Economic growth; Business; Environmental economics; Natural resource economics; Electricity; Political science; Economics; Engineering; Electrical engineering","score_opus":0.022853404981562783,"score_gpt":0.290787531229822,"score_spread":0.2679341262482592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401349232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699676,0.00055420643,0.00037937972,0.00014881119,0.000058460562,0.00017977177,0.000056676312,0.000006870634,0.0016190388],"genre_scores_gemma":[0.9987488,0.0009836436,0.00001266578,0.000004332671,0.000024502297,0.000021823005,0.00008565315,0.0000041902076,0.0001144284],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994053,0.0000708651,0.00019702112,0.00007548832,0.0001286655,0.00012264281],"domain_scores_gemma":[0.9996744,0.000125328,0.00006500548,0.00007901544,0.000032431617,0.000023831057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004740179,0.000075675554,0.000100918325,0.00005087295,0.000058251117,0.000100750025,0.00008065232,0.000042850796,0.00009559047],"category_scores_gemma":[0.000032718457,0.000055262364,0.000031858326,0.00007778662,0.0001978993,0.00074502325,0.00003308255,0.00006967231,0.0000012191673],"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":[0.0012289978,0.00089149334,0.2002371,0.0012006672,0.00037377115,0.000010532295,0.049355987,0.037173457,0.5789982,0.058144353,0.010658387,0.061727043],"study_design_scores_gemma":[0.000905306,0.0009537422,0.8443351,0.00067294977,0.000048920596,0.000031167197,0.06060779,0.05503086,0.011593288,0.020516913,0.0048435642,0.0004604088],"about_ca_topic_score_codex":0.0019645602,"about_ca_topic_score_gemma":0.000091353824,"teacher_disagreement_score":0.644098,"about_ca_system_score_codex":0.000105276944,"about_ca_system_score_gemma":0.000021828737,"threshold_uncertainty_score":0.29698405},"labels":[],"label_agreement":null},{"id":"W4401349260","doi":"10.2118/221702-ms","title":"Nigeria's Energy Transition Plan: A Technical Analysis, Opportunities, and Recommendations for Sustainable Development","year":2024,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Plan (archaeology); Sustainable development; Environmental economics; Computer science; Business; Political science; Economics; Geography","score_opus":0.02999257262457721,"score_gpt":0.2658259981521726,"score_spread":0.2358334255275954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401349260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64053285,0.00048243802,0.2696386,0.045226604,0.0006410663,0.00070322485,0.0006986739,0.000382565,0.041693937],"genre_scores_gemma":[0.9919652,0.0007310832,0.0014044776,0.0005031782,0.00006977343,0.00008303383,0.001355585,0.000010011525,0.0038776936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990587,0.00002853898,0.00021970877,0.0003158556,0.00017228104,0.00020486707],"domain_scores_gemma":[0.9997151,0.000044509812,0.000037974798,0.00007022075,0.000024835765,0.00010735672],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002182952,0.00013751182,0.000126803,0.00014526733,0.00017883792,0.00018554088,0.0000741483,0.00008867666,0.0017682404],"category_scores_gemma":[0.000011946818,0.00013346552,0.000045604807,0.00012819415,0.00010774668,0.00071705435,0.000067992405,0.000066826695,0.000009705386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009443786,0.0007980266,0.0022371253,0.00027980795,0.0018747202,0.0003243661,0.020822065,0.0041874843,0.02975291,0.62568283,0.11898796,0.19410834],"study_design_scores_gemma":[0.00067761575,0.00030355455,0.0110907415,0.00013974265,0.00018777128,0.00007534605,0.010197105,0.006229399,0.0033044165,0.024061993,0.94296604,0.00076627237],"about_ca_topic_score_codex":0.00017445043,"about_ca_topic_score_gemma":0.0004058122,"teacher_disagreement_score":0.82397807,"about_ca_system_score_codex":0.00013199267,"about_ca_system_score_gemma":0.00003120233,"threshold_uncertainty_score":0.99914426},"labels":[],"label_agreement":null},{"id":"W4413134366","doi":"10.2118/228760-ms","title":"An Analytical Approach to Fracture Gradient Prediction Utilizing Leak Off Test Calibration Data: Case Study Application of a Deep Play Niger Delta Well","year":2025,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Husky Energy (Canada)","funders":"","keywords":"Niger delta; Calibration; Leak; Computer science; Test (biology); Fracture (geology); Test data; Delta; Reliability engineering; Environmental science; Geology; Engineering; Mathematics; Statistics; Geotechnical engineering; Aerospace engineering","score_opus":0.020131484331086174,"score_gpt":0.28810975180118215,"score_spread":0.26797826747009595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413134366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60584605,0.00003884912,0.39070222,0.0002004299,0.00015177093,0.00035678543,0.00025400284,0.000100303725,0.0023495695],"genre_scores_gemma":[0.9979246,0.000034275497,0.00037091042,0.00007449008,0.00014611537,0.000044813525,0.0013326645,0.000013153015,0.000058973656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867684,0.000050211125,0.00041387294,0.00043509653,0.00026721813,0.0001567659],"domain_scores_gemma":[0.99916774,0.000050030947,0.00006309248,0.00038825566,0.00022487968,0.00010602553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026354293,0.00018290851,0.00023174271,0.00030774443,0.00010506768,0.0001182637,0.00023945353,0.00012077378,0.000037350484],"category_scores_gemma":[0.00005169972,0.00016837179,0.000039831062,0.00026776126,0.000041584004,0.00061809714,0.00007323534,0.00018915086,0.00000375579],"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":[0.00026235473,0.0029755745,0.0600116,0.00031763827,0.0010322613,0.00012221202,0.017417373,0.8716463,0.007127221,0.0015316331,0.0042043845,0.033351436],"study_design_scores_gemma":[0.0003109271,0.00011348166,0.004802945,0.0000334847,0.00008263017,0.00004014975,0.0103314575,0.9823129,0.00068376644,0.00011931088,0.0010138593,0.00015508092],"about_ca_topic_score_codex":0.0005082785,"about_ca_topic_score_gemma":0.0011211358,"teacher_disagreement_score":0.39207855,"about_ca_system_score_codex":0.00006408295,"about_ca_system_score_gemma":0.000026693795,"threshold_uncertainty_score":0.6866002},"labels":[],"label_agreement":null}]}