{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"c18bf13e8be7","filters":{"venue":"SPE Economics & Management"}},"results":[{"id":"W2283733733","doi":"10.2118/174784-pa","title":"Machine Learning as a Reliable Technology for Evaluating Time/Rate Performance of Unconventional Wells","year":2016,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Apache (Canada)","funders":"","keywords":"Computer science; Markov chain Monte Carlo; Expression (computer science); Population; Econometrics; Production (economics); Probabilistic logic; Function (biology); Data mining; Artificial intelligence; Machine learning; Bayesian probability; Mathematics","authors":[{"name":"David S. Fulford","is_ca":true},{"name":"Braden Bowie","is_ca":true},{"name":"Michael E. Berry","is_ca":true},{"name":"Bo Bowen","is_ca":true},{"name":"Derrick W. Turk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006531126770680511,"gpt":0.2150305613952881,"spread":0.2084994346246076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375323,0.0004605047,0.0003679952,0.0009751432,0.000292167,0.0009736064,0.0006079702,0.0004831276,0.0009182076],"category_scores_gemma":[0.01028451,0.0002011771,0.0002977006,0.0008647834,0.0004569798,0.001147592,0.0005811661,0.0007506841,0.0002596078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009640289,"about_ca_system_score_gemma":0.0007174863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621992,"about_ca_topic_score_gemma":0.004010966,"domain_scores_codex":[0.9989709,0.0004531289,0.00006893058,0.000131784,0.0003354045,0.00003992555],"domain_scores_gemma":[0.9954618,0.002278474,0.0007087429,0.0005608127,0.0009047234,0.00008554557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007515402,0.0000349329,0.02166861,0.00003730957,0.00002798838,0.00004599562,0.00008027993,0.8853916,0.003812987,0.008242272,0.0005687066,0.08001417],"study_design_scores_gemma":[0.000001824096,0.00001459474,0.001868106,0.000007753011,0.000002314426,0.000006650946,0.00001335391,0.9921028,0.002014097,0.00369282,0.0002674853,0.000008210443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1507581,0.00009566799,0.8448487,0.0001924674,0.0000172259,0.00005018395,0.0002481824,0.0008672574,0.002922373],"genre_scores_gemma":[0.8556827,0.00004435913,0.1435233,0.00002568862,0.000009550995,0.00006405344,0.0001413184,0.00005638268,0.0004525723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004621992,"threshold_uncertainty_score":0.01256204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2506481049","doi":"10.2118/183642-pa","title":"A Sensitivity Analysis of Cyclic Solvent Stimulation for Post-CHOPS EOR: Application on an Actual Field Case","year":2016,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Suncor Energy Incorporated","keywords":"Profitability index; Petroleum engineering; Enhanced oil recovery; Oil field; Production (economics); Net present value; Petroleum; Environmental science; Oil production; Present value; Dissolution; Engineering; Geology; Economics","authors":[{"name":"Alireza Rangriz Shokri","is_ca":true},{"name":"Tayfun Babadagli","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01377744219076488,"gpt":0.2733179140934446,"spread":0.2595404719026797,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977357,0.0009101497,0.0007372712,0.000966542,0.0005185071,0.0009122504,0.0009852687,0.001522398,0.001993853],"category_scores_gemma":[0.0035946,0.0005221046,0.001560459,0.0005188811,0.0006233954,0.0005351342,0.0006442914,0.0009989796,0.00009267795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947816,"about_ca_system_score_gemma":0.001133458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04500152,"about_ca_topic_score_gemma":0.01513726,"domain_scores_codex":[0.999521,0.0001938141,0.00001728796,0.00007484629,0.00008868396,0.0001044429],"domain_scores_gemma":[0.995382,0.003871187,0.0001954622,0.0001530982,0.0003436123,0.00005457947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004516821,0.00003096249,0.00107849,0.00002914352,0.00001794138,0.0001115636,0.00001182744,0.9965294,0.0008055622,0.0003763237,0.0000687271,0.0008948852],"study_design_scores_gemma":[0.00001367234,0.0001074366,0.0009964666,0.000008898093,0.00002644002,0.00001849226,0.0000473269,0.9968822,0.001435193,0.0002869702,0.0001636071,0.00001338256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712726,0.0002243833,0.02179108,0.0002228164,0.00001649173,0.0001149881,0.0006575748,0.0001050868,0.005594966],"genre_scores_gemma":[0.9967469,0.00004467664,0.002512103,0.00001105552,0.000002349457,0.00003502916,0.0001065337,0.000007271919,0.0005340452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04500152,"threshold_uncertainty_score":0.08947915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003356598","doi":"10.2118/141104-pa","title":"The Potential Pitfalls of Using North American Tight and Shale Gas Development Techniques in the North African and Middle Eastern Environments","year":2012,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Middle East; Shale gas; Oil shale; Unconventional oil; Tight gas; Natural gas; Tight oil; Business; Petroleum engineering; Geology; Natural resource economics; Economy; Hydraulic fracturing; Geography; Economics; Engineering; Paleontology; Archaeology","authors":[{"name":"Alexis Martín","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00852859800580466,"gpt":0.1799012807378268,"spread":0.1713726827320221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004573879,0.0003442471,0.0002011691,0.0009245618,0.002383124,0.001618821,0.0006847372,0.000333113,0.003500997],"category_scores_gemma":[0.003966669,0.0001633852,0.0001589546,0.00113459,0.001648256,0.001403452,0.001917033,0.0009713202,0.00090976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403731,"about_ca_system_score_gemma":0.003955578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04828538,"about_ca_topic_score_gemma":0.2276602,"domain_scores_codex":[0.9983537,0.0008518122,0.00006460139,0.0001384487,0.0004082139,0.000183248],"domain_scores_gemma":[0.9967349,0.0009701414,0.0004308309,0.0003835269,0.001183802,0.0002967867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004938183,0.0003141506,0.0706175,0.0009166022,0.0001024898,0.002225613,0.02156036,0.00120298,0.02544658,0.04163378,0.02221709,0.8132691],"study_design_scores_gemma":[0.00002761924,0.0003801584,0.07787597,0.001298213,0.0001028682,0.002626286,0.04854343,0.00161367,0.01919854,0.009960318,0.8382592,0.0001137069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6634051,0.02022908,0.02772266,0.03425149,0.001098505,0.0002852734,0.0002696204,0.0003486639,0.2523896],"genre_scores_gemma":[0.9069497,0.009245867,0.04321078,0.003560902,0.0001036565,0.0002206037,0.0001084637,0.0001271116,0.03647291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04828538,"threshold_uncertainty_score":0.09600866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147831934","doi":"10.2118/154056-pa","title":"Unconventional-Natural-Gas Business: TSR Benchmark and Recommendations for Prudent Management of Shareholder Value","year":2011,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Shareholder value; Shareholder; Earnings; Natural gas; Unconventional oil; Business; Profit (economics); Discounted cash flow; Finance; Economics; Economic Value Added; Fossil fuel; Cash flow; Monetary economics; Corporate governance; Microeconomics","authors":[{"name":"Ruud Weijermars","is_ca":false},{"name":"S.C. Watson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02980945696654513,"gpt":0.2677067412813565,"spread":0.2378972843148113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02146118,0.001421274,0.001293198,0.006339943,0.001289198,0.01049461,0.004530984,0.004125032,0.005248555],"category_scores_gemma":[0.04158607,0.0003538929,0.001093042,0.003474418,0.001276695,0.006272817,0.002517512,0.002643559,0.002342435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005302343,"about_ca_system_score_gemma":0.0115473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165094,"about_ca_topic_score_gemma":0.01672883,"domain_scores_codex":[0.9842219,0.005229224,0.00173321,0.0005534197,0.007161158,0.001101134],"domain_scores_gemma":[0.9446197,0.01033699,0.006417868,0.002525274,0.03261473,0.003485471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006374875,0.001532352,0.05311013,0.001151216,0.0001312486,0.001008437,0.001061621,0.05718737,0.004769634,0.1488782,0.4248586,0.3056737],"study_design_scores_gemma":[0.0003101932,0.002101571,0.1027083,0.008538324,0.0001940965,0.0006156403,0.0108348,0.3383482,0.01064484,0.1449801,0.3799887,0.0007351867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1560485,0.04319582,0.1234159,0.3311493,0.007796897,0.002488383,0.009210104,0.007703064,0.3189921],"genre_scores_gemma":[0.8084834,0.01089861,0.1307883,0.006801467,0.002698572,0.001477239,0.006820774,0.0004408651,0.03159075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02165094,"threshold_uncertainty_score":0.1134989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240681973","doi":"10.2118/156676-pa","title":"Water Use in Canada's Oil-Sands Industry: The Facts","year":2013,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Oil sands; Environmental science; Asphalt; Petroleum industry; Steam-assisted gravity drainage; Productivity; Unconventional oil; Groundwater; Hydrology (agriculture); Geology; Fossil fuel; Environmental engineering; Waste management; Geography; Archaeology; Engineering; Geotechnical engineering","authors":[{"name":"Stuart Lunn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0104102114772275,"gpt":0.1844775296449151,"spread":0.1740673181676876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000418397,0.0003357691,0.0002099578,0.003190286,0.001483799,0.002202767,0.0007595178,0.0005686122,0.003207945],"category_scores_gemma":[0.00162027,0.0001803441,0.0003803906,0.00905594,0.0005575545,0.0007402929,0.0007047649,0.001045424,0.0003074313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04262201,"about_ca_system_score_gemma":0.0567788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963541,"about_ca_topic_score_gemma":0.9985976,"domain_scores_codex":[0.9990295,0.00001750062,0.00005271217,0.00006880616,0.0005924217,0.0002390001],"domain_scores_gemma":[0.9963478,0.000141244,0.0003050848,0.00004615673,0.002564094,0.0005955888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001514535,0.0001096235,0.6517662,0.001216491,0.0001480642,0.0006084786,0.001206869,0.001349591,0.0006530438,0.004035338,0.1986663,0.1400885],"study_design_scores_gemma":[0.00000847616,0.00002405238,0.8680832,0.0004522616,0.0000672423,0.0001330297,0.002304335,0.0007885269,0.0005038034,0.0003105134,0.1272791,0.0000454109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4640431,0.05851013,0.001165587,0.06863182,0.0011439,0.0001502602,0.2586263,0.0005377997,0.1471912],"genre_scores_gemma":[0.9120258,0.02823066,0.0009721906,0.004067458,0.0001994419,0.00003205593,0.03789487,0.00003487246,0.01654284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04262201,"threshold_uncertainty_score":0.3092458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2277001310","doi":"10.2118/169859-pa","title":"Integrated Economic Model for Evaluation and Optimization of Cyclic-Steam-Stimulation Projects","year":2016,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Cenovus Energy (Canada)","funders":"Cenovus Energy; University of Pennsylvania","keywords":"Net present value; Steam injection; Schedule; Scheduling (production processes); Present value; Production (economics); Computer science; Oil field; Petroleum engineering; Engineering; Operations management; Economics","authors":[{"name":"C. T. Frenette","is_ca":true},{"name":"Majid Saeedi","is_ca":false},{"name":"J. L. Henke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03034883844950766,"gpt":0.2793013794829237,"spread":0.248952541033416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214126,0.001029482,0.00128002,0.0008294967,0.0005684283,0.001502492,0.001882555,0.00169044,0.004939183],"category_scores_gemma":[0.002170275,0.0007746277,0.001198454,0.001348003,0.0009433428,0.001063332,0.001091981,0.001359702,0.000391205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003374862,"about_ca_system_score_gemma":0.003480974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03211518,"about_ca_topic_score_gemma":0.02101866,"domain_scores_codex":[0.9994063,0.0002391703,0.00002227847,0.00007866334,0.0001449608,0.0001085689],"domain_scores_gemma":[0.9990948,0.000546957,0.00009106199,0.0000369281,0.0001736199,0.00005649759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007033106,0.00000692967,0.00008742593,0.000004651086,0.000003968592,0.000006658119,0.000003240733,0.9970255,0.00005841757,0.002211366,0.0000503154,0.0005344304],"study_design_scores_gemma":[0.000003171333,0.000004816058,0.00003163807,0.000001511935,0.000002214097,0.000001117128,0.000002814236,0.9990777,0.00003938864,0.0006841577,0.0001498216,0.000001707997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1036367,0.0003791846,0.8516751,0.0004580767,0.00007776784,0.0002940539,0.001136897,0.000305559,0.04203651],"genre_scores_gemma":[0.917676,0.0003615211,0.06617802,0.00006191643,0.00002677255,0.0007522476,0.000558769,0.00008716407,0.01429745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03211518,"threshold_uncertainty_score":0.06385654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057904907","doi":"10.2118/134602-pa","title":"Using the SPE/WPC/AAPG/SPEE/SEG PRMS To Evaluate Unconventional Resources","year":2012,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Unconventional oil; Tight gas; Petroleum; Petroleum engineering; Tight oil; Computer science; Oil shale; Formation evaluation; Operations research; Geology; Engineering; Hydraulic fracturing; Paleontology","authors":[{"name":"Phillip Chan","is_ca":false},{"name":"John Etherington","is_ca":false},{"name":"Roberto Aguilera","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03472686030648385,"gpt":0.2612898192672997,"spread":0.2265629589608159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005088556,0.00097383,0.0004298507,0.006964617,0.000674063,0.002231047,0.0007843277,0.0006009349,0.003753625],"category_scores_gemma":[0.007115332,0.000374012,0.0006344858,0.005012976,0.000680737,0.001473758,0.001335548,0.0006102349,0.001520977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871365,"about_ca_system_score_gemma":0.004389241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04358128,"about_ca_topic_score_gemma":0.05763547,"domain_scores_codex":[0.9939545,0.001244217,0.0004243511,0.0002125043,0.003975713,0.000188718],"domain_scores_gemma":[0.9898896,0.00104865,0.0006880112,0.0006276421,0.007543894,0.0002021671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004643858,0.0002967693,0.1024077,0.001007922,0.0002992665,0.0009799623,0.0006995641,0.174797,0.02243284,0.01564349,0.1206674,0.5603037],"study_design_scores_gemma":[0.000109737,0.001084008,0.2735597,0.001057887,0.0002216386,0.0005129784,0.002256348,0.126064,0.1000006,0.01464912,0.4800975,0.0003864726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3709388,0.003401661,0.1939349,0.004220302,0.000469779,0.004164961,0.04756466,0.00345445,0.3718504],"genre_scores_gemma":[0.6654474,0.00309488,0.2588002,0.0004888988,0.0001072335,0.001305023,0.02154369,0.0006795421,0.04853317],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04358128,"threshold_uncertainty_score":0.0866552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2520222836","doi":"10.2118/184395-pa","title":"Oil- and Gas-Wellsite-Reclamation-Liability Estimation","year":2016,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Canadian Association of Petroleum Producers","keywords":"Land reclamation; Liability; Environmental science; Business; Accounting; Geography; Archaeology","authors":[{"name":"Ron J. Thiessen","is_ca":true},{"name":"Gopal Achari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01396639755284762,"gpt":0.2666072347707156,"spread":0.252640837217868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004300448,0.0002973806,0.0003088011,0.003237117,0.000320924,0.0009005973,0.0009958911,0.0002086796,0.002532044],"category_scores_gemma":[0.01363692,0.0001686621,0.0004970398,0.003315744,0.0003191001,0.0005595058,0.0006964105,0.0003974766,0.0003829452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200716,"about_ca_system_score_gemma":0.002416539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3906691,"about_ca_topic_score_gemma":0.4260397,"domain_scores_codex":[0.9964592,0.0006385398,0.000278179,0.0002981659,0.002020154,0.0003057583],"domain_scores_gemma":[0.9893836,0.003605498,0.002857968,0.0007298955,0.003229896,0.0001929982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005898515,0.00003239887,0.936324,0.00004318089,0.000152641,0.00009984563,0.0001591716,0.03615315,0.0002082893,0.003144215,0.003360662,0.0202635],"study_design_scores_gemma":[0.000007275311,0.00006855931,0.8958193,0.00004982115,0.00008904955,0.0001186555,0.001137056,0.08570477,0.001444681,0.002372865,0.01315148,0.0000363913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318644,0.0005067941,0.03443967,0.0004507114,0.00001877491,0.0001632348,0.01543584,0.0002859933,0.01683464],"genre_scores_gemma":[0.979447,0.0001535899,0.005152135,0.00003556945,0.000007810554,0.00003219834,0.01157021,0.00001808992,0.003583332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3906691,"threshold_uncertainty_score":0.7767903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4252128798","doi":"10.2118/124490-pa","title":"Oil, Natural-Gas, and NGL Endowment in North, Central, and South America","year":2010,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey","keywords":"Endowment; Petroleum; Fossil fuel; Natural gas; Oil production; Petroleum industry; Oil and natural gas; Production (economics); Petroleum engineering; Natural resource economics; Geography; Economics; Geology; Engineering; Political science; Paleontology; Macroeconomics","authors":[{"name":"Roberto F. Aguilera","is_ca":true},{"name":"Roberto Aguilera","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00457188751276221,"gpt":0.2053029354284426,"spread":0.2007310479156804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005118428,0.00009655186,0.0001484023,0.0007753075,0.000272885,0.0005623884,0.0001699699,0.00007533652,0.001725114],"category_scores_gemma":[0.001269522,0.00008434616,0.000193486,0.001061406,0.0005248216,0.0004393238,0.0009690851,0.0001494918,0.0001012889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250533,"about_ca_system_score_gemma":0.0007151762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06737841,"about_ca_topic_score_gemma":0.1101646,"domain_scores_codex":[0.9998683,0.00004067539,0.000006678115,0.0000255795,0.00003184487,0.00002697244],"domain_scores_gemma":[0.9992085,0.000262109,0.0002260329,0.00006887522,0.00013445,0.000100033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007185536,0.00001819203,0.980939,0.00002074173,0.00008206712,0.0002083068,0.0006944961,0.005358296,0.0006085365,0.002728615,0.0005730643,0.008696806],"study_design_scores_gemma":[0.000004714762,0.00002199082,0.984172,0.00002289059,0.00002403684,0.0001799961,0.003034467,0.006606138,0.0004128943,0.002089189,0.003422211,0.000009536432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975781,0.00008195568,0.0002961651,0.00009792667,9.674039e-7,0.000004075164,0.0002094904,0.000002325771,0.001729048],"genre_scores_gemma":[0.998992,0.00007550947,0.0001959439,0.000008927435,0.000001211013,0.000005913727,0.0002631877,0.000001359697,0.0004560262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06737841,"threshold_uncertainty_score":0.1339724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068042538","doi":"10.2118/168426-pa","title":"Progressive Land Reclamation as the Design-and-Operational Basis for the Kearl Oil-Sands Mine","year":2015,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Land reclamation; Oil sands; Overburden; Context (archaeology); Resource (disambiguation); Surface mining; Mining engineering; Environmental science; Environmental planning; Environmental resource management; Geology; Geography; Asphalt; Archaeology; Coal mining","authors":[{"name":"Lori Neufeld","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02236537861719678,"gpt":0.2305253464699197,"spread":0.2081599678527229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129722,0.0002409471,0.0001304986,0.0007581497,0.003191856,0.004539151,0.00155047,0.0008189518,0.002291449],"category_scores_gemma":[0.001592567,0.0002298981,0.0002179023,0.0006034088,0.003388468,0.0009670809,0.002005528,0.000923889,0.0003558143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0190835,"about_ca_system_score_gemma":0.04460158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3274231,"about_ca_topic_score_gemma":0.6627581,"domain_scores_codex":[0.9976445,0.0003126682,0.00005851161,0.0001938159,0.001256368,0.0005341888],"domain_scores_gemma":[0.9986169,0.0001290903,0.00009378344,0.0001138773,0.0006931272,0.0003532603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002968827,0.0006876586,0.05426967,0.0005983582,0.00004420404,0.004696368,0.03000261,0.05740534,0.05934772,0.180919,0.01661124,0.595121],"study_design_scores_gemma":[0.00008011731,0.00167989,0.07945109,0.0005488073,0.00005835728,0.001844347,0.06616733,0.02310133,0.02250554,0.01975821,0.784581,0.0002239904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679279,0.001268908,0.04490782,0.007226217,0.00007233373,0.001568845,0.000201545,0.000610301,0.2762162],"genre_scores_gemma":[0.9226042,0.0004303808,0.03459463,0.000246166,0.000008456852,0.0001282637,0.0001317045,0.00007314781,0.04178299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6725769,"threshold_uncertainty_score":0.6510346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234458458","doi":"10.2118/167375-pa","title":"Development and Implementation of the AVAILS+ Collaborative Forecasting Tool for Production Assurance in the Kuwait Oil Company, North Kuwait (KOC NK)","year":2014,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Computer science; Production (economics); Asset (computer security); Transparency (behavior); Process management; Operations research; Business","authors":[{"name":"Bader Al-Saad","is_ca":false},{"name":"Paul A. Murray","is_ca":true},{"name":"Maurice Vanderhaeghen","is_ca":true},{"name":"Demetrios Yannimaras","is_ca":true},{"name":"Rami Kansao Naime","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01897776013243982,"gpt":0.2470323434685396,"spread":0.2280545833360997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005572564,0.0009944399,0.0004306946,0.001927898,0.001424416,0.003951282,0.001816482,0.0007427428,0.01148433],"category_scores_gemma":[0.01193914,0.0006831706,0.0005430057,0.001469109,0.0007120733,0.004058661,0.002996779,0.001531751,0.004011084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389527,"about_ca_system_score_gemma":0.004986365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0288145,"about_ca_topic_score_gemma":0.02573668,"domain_scores_codex":[0.9975546,0.000636426,0.0002845754,0.0004242367,0.0008846068,0.0002155361],"domain_scores_gemma":[0.9939501,0.001769296,0.0005032347,0.001085739,0.001985374,0.0007063028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007177878,0.0009079513,0.04800427,0.001012951,0.0001465581,0.001533198,0.01820226,0.06825542,0.01731345,0.03037968,0.1001978,0.7133287],"study_design_scores_gemma":[0.0002568518,0.0007257779,0.04105207,0.001178247,0.0001593505,0.0005307171,0.01042176,0.4544443,0.0264667,0.01867185,0.4454786,0.0006136899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2811617,0.000466133,0.4727763,0.005648691,0.0004692565,0.002271542,0.01159183,0.1420951,0.08351957],"genre_scores_gemma":[0.4735897,0.0002854032,0.4856396,0.000338876,0.00005199499,0.00102716,0.0124377,0.004664986,0.02196456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0288145,"threshold_uncertainty_score":0.05729353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076741437","doi":"10.2118/124203-pa","title":"Simulations of Field-Development Planning Help Improve Economics of Heavy-Oil Project","year":2010,"lang":"en","type":"article","venue":"SPE Economics & Management","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Trajectory; Injector; Software; Field (mathematics); Shell (structure); Net present value; Computer science; Plan (archaeology); Operations research; Engineering; Simulation; Mechanical engineering; Geology; Production (economics); Mathematics; Operating system; Physics","authors":[{"name":"Dwight Teotico","is_ca":false},{"name":"Luke Schauerte","is_ca":false},{"name":"James Griffith","is_ca":false},{"name":"Gary Schottle","is_ca":false},{"name":"Ralph Mehl","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01679744806621537,"gpt":0.2626834090063696,"spread":0.2458859609401542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009112452,0.0005745728,0.0004542761,0.0007463866,0.0004659191,0.001046285,0.0008321139,0.0007816614,0.01022151],"category_scores_gemma":[0.003161806,0.0004549745,0.0004793429,0.0007406108,0.0003962387,0.0006974994,0.0005451514,0.0006505402,0.0003401285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002550862,"about_ca_system_score_gemma":0.002343857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07216985,"about_ca_topic_score_gemma":0.07525142,"domain_scores_codex":[0.9997985,0.00008090493,0.000008501065,0.00002528694,0.00004613487,0.00004070522],"domain_scores_gemma":[0.9975418,0.001806234,0.0001127623,0.00009166256,0.0003519406,0.00009567042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001867078,0.0000153065,0.001094633,0.00001007924,0.000003023548,0.00001866625,0.00001214146,0.9961891,0.00007798622,0.001144652,0.000215177,0.001200658],"study_design_scores_gemma":[0.0000107394,0.00001369591,0.0003744565,0.000006350417,0.000003176428,0.000003334224,0.00003181058,0.9981244,0.0001228208,0.0008407767,0.000465054,0.000003370282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454521,0.0001596093,0.07299832,0.0005656575,0.00005173904,0.000259352,0.002448381,0.0007788895,0.07728597],"genre_scores_gemma":[0.9714272,0.00007781568,0.02335782,0.000028183,0.000003690253,0.00009538934,0.0004808665,0.0000969378,0.004432101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07216985,"threshold_uncertainty_score":0.1434996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}