{"meta":{"query_hash":"e60cfbb9db0b","filters":{"venue":"Unconventional Resources"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/e60cfbb9db0b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Unconventional+Resources"},"results":[{"id":"W4388681906","doi":"10.1016/j.uncres.2023.100069","title":"Identification of natural fractures in shale gas reservoirs using fracture signature function and machine learning models","year":2023,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"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":"National Natural Science Foundation of China","keywords":"Support vector machine; Artificial intelligence; Machine learning; Random forest; Artificial neural network; Computer science; Fracture (geology); Identification (biology); Decision tree; Geology; Data mining; Geotechnical engineering","score_opus":0.015380262458314071,"score_gpt":0.23406405010679568,"score_spread":0.21868378764848162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388681906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8149811,0.00036063595,0.18267195,0.00016577274,0.000020119167,0.000049592625,0.00026330294,0.0005479463,0.0009395812],"genre_scores_gemma":[0.9769404,0.00009038219,0.02228068,0.000013373727,0.0000060117522,0.00002086813,0.0001982233,0.00001305807,0.00043698843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997875,0.000033607957,0.000016199474,0.000059061025,0.000070182934,0.00003338549],"domain_scores_gemma":[0.9995925,0.00015750049,0.00009459086,0.00002541696,0.00011176,0.000018271377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055767194,0.0005954706,0.00040682819,0.0012727906,0.0002471485,0.00052846427,0.00047368094,0.0006328383,0.00034073667],"category_scores_gemma":[0.0011112362,0.00026357084,0.0007890535,0.000574425,0.00028238652,0.00081511465,0.00031356025,0.00052284816,0.0001306433],"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":[0.000107728236,0.00013628817,0.056085374,0.000060376264,0.000048765334,0.00021043544,0.000057613743,0.843367,0.009862233,0.000782745,0.00039283145,0.0888887],"study_design_scores_gemma":[9.3956294e-7,0.000010535604,0.0028727658,0.000002133476,0.0000028279308,0.000012152351,0.000010485806,0.9956403,0.0011962291,0.00020969013,0.000037432048,0.000004556067],"about_ca_topic_score_codex":0.015571998,"about_ca_topic_score_gemma":0.021516202,"teacher_disagreement_score":0.015571998,"about_ca_system_score_codex":0.0007275489,"about_ca_system_score_gemma":0.00081303454,"threshold_uncertainty_score":0.030962765},"labels":[],"label_agreement":null},{"id":"W4393253006","doi":"10.1016/j.uncres.2024.100082","title":"Sedimentary: Carbonate microfacies and mineralogy of the southern Benue Trough and eastern Dahomey basin, Nigeria","year":2024,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Trough (economics); Geology; Carbonate; Structural basin; Sedimentary rock; Geochemistry; Geomorphology","score_opus":0.008001034067855493,"score_gpt":0.20043628306466502,"score_spread":0.19243524899680953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393253006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900514,0.00027543795,0.000030104295,0.000008434536,0.0000012903288,0.000004472752,0.00003574554,0.0000012209006,0.00063820445],"genre_scores_gemma":[0.99901664,0.00022382979,0.00020437661,0.0000074117042,0.0000013279067,0.000005275994,0.00006821543,9.4260974e-7,0.00047191704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995995,0.0000042961715,0.000004234118,0.00001027396,0.000008678026,0.000012519736],"domain_scores_gemma":[0.999954,0.000006098082,0.000018053139,0.0000020217776,0.000012002667,0.000007819131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007248359,0.00023514299,0.00015912342,0.0009776508,0.00056645524,0.0004276129,0.00011121721,0.00018720994,0.0007554416],"category_scores_gemma":[0.00012452209,0.00017175569,0.000058531958,0.00063198595,0.00028070566,0.00023797309,0.00034113028,0.00008411402,0.00008690245],"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":[0.00023665282,0.000063140615,0.9245567,0.00025841966,0.000034996887,0.0018179798,0.0035558625,0.00022339824,0.040952444,0.00024405743,0.000094285555,0.027962105],"study_design_scores_gemma":[0.000005492285,0.00003218395,0.99410397,0.00003495638,0.0000104381625,0.00066647,0.0027529525,0.00013744955,0.0010715097,0.000033452103,0.0011477217,0.0000034632733],"about_ca_topic_score_codex":0.015588885,"about_ca_topic_score_gemma":0.0772507,"teacher_disagreement_score":0.015588885,"about_ca_system_score_codex":0.00033688697,"about_ca_system_score_gemma":0.00031996437,"threshold_uncertainty_score":0.030996263},"labels":[],"label_agreement":null},{"id":"W4396534045","doi":"10.1016/j.uncres.2024.100090","title":"Diagenetic characteristics and microscopic pore evolution of deep shale gas reservoirs in Longmaxi Formation, Southeastern Sichuan basin, China","year":2024,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Diagenesis; Geology; Shale gas; Oil shale; Sichuan basin; Structural basin; Geochemistry; China; Petrology; Geomorphology; Paleontology; Archaeology; Geography","score_opus":0.0060728749668904885,"score_gpt":0.2053200360288825,"score_spread":0.199247161061992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396534045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998035,0.000017222881,0.000040624414,0.0000029282257,3.0044708e-7,0.0000013654916,0.00003571796,0.0000036175181,0.000094691706],"genre_scores_gemma":[0.9997378,0.0000152688,0.00005114362,0.0000016742118,5.9164e-7,0.0000023719424,0.00006697822,6.6844586e-7,0.00012351165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999212,0.000004640909,0.000007127297,0.000024586421,0.000021544034,0.00002079812],"domain_scores_gemma":[0.9999176,0.000009760527,0.000022738075,0.000003765725,0.000025024627,0.000021040478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011843701,0.00018078592,0.00015400993,0.0008985645,0.00046785022,0.0003163968,0.00022046064,0.00020264427,0.0004732783],"category_scores_gemma":[0.00013313902,0.00017299315,0.00019113747,0.00048809042,0.0003210234,0.00032078323,0.00024846356,0.00008602559,0.000033925964],"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":[0.00023293,0.000091620095,0.83896255,0.0000961987,0.0000700046,0.0010165949,0.0015918241,0.0045501175,0.14196227,0.00038504205,0.00014122383,0.010899547],"study_design_scores_gemma":[0.0000043515197,0.000028693941,0.99456906,0.0000024005653,0.000009432796,0.00007318644,0.0002470398,0.002553217,0.0023509753,0.000029408176,0.0001247934,0.0000073704723],"about_ca_topic_score_codex":0.03189926,"about_ca_topic_score_gemma":0.048600215,"teacher_disagreement_score":0.03189926,"about_ca_system_score_codex":0.00055288983,"about_ca_system_score_gemma":0.00048916397,"threshold_uncertainty_score":0.06342721},"labels":[],"label_agreement":null},{"id":"W4404727338","doi":"10.1016/j.uncres.2024.100130","title":"Balancing conflicting objectives in pre-salt reservoir development: A robust multi-objective optimization framework","year":2024,"lang":"en","type":"article","venue":"Unconventional Resources","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":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis; Fundação de Amparo à Pesquisa do Estado de São Paulo; Computer Modelling Group","keywords":"Computer science; Petroleum engineering; Mathematical optimization; Environmental science; Geology; Mathematics","score_opus":0.02098310988504949,"score_gpt":0.2909928842162374,"score_spread":0.27000977433118795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404727338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027152497,0.00054489024,0.96575737,0.00027503807,0.00003526737,0.00010067025,0.000101226506,0.00013358153,0.00589947],"genre_scores_gemma":[0.8015327,0.00065408915,0.1943353,0.0001266179,0.000056902245,0.00047253157,0.00021374627,0.000077701276,0.0025304316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934214,0.0003422666,0.00002905221,0.0000782806,0.00012836236,0.0000799549],"domain_scores_gemma":[0.99911684,0.00059245597,0.0001180807,0.000023500927,0.00011153416,0.000037633323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023014871,0.0014405135,0.0012247127,0.0009246102,0.00042471086,0.0013356229,0.001400637,0.0014642229,0.001342762],"category_scores_gemma":[0.0022428338,0.0006430544,0.0013228266,0.0007218695,0.00070280704,0.000757808,0.0012659723,0.0010836181,0.00013762523],"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":[0.0000049583696,0.000005990274,0.00007316596,0.000013840731,0.0000132077885,0.000013519236,0.0000046383284,0.9970149,0.000105089144,0.0013856866,0.000039969433,0.0013250166],"study_design_scores_gemma":[0.0000025986046,0.000009854819,0.000027728998,0.0000036876113,0.00000440631,0.0000022902052,0.0000031378263,0.9992248,0.000049962917,0.00057920645,0.00009052139,0.000001871737],"about_ca_topic_score_codex":0.009298536,"about_ca_topic_score_gemma":0.0060205963,"teacher_disagreement_score":0.009298536,"about_ca_system_score_codex":0.00092569354,"about_ca_system_score_gemma":0.0020665762,"threshold_uncertainty_score":0.018488824},"labels":[],"label_agreement":null},{"id":"W4404727386","doi":"10.1016/j.uncres.2024.100131","title":"Design and implementation of a waterless solar panel cleaning system","year":2024,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":14,"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 Victoria","funders":"Faculty of Engineering and the Built Environment, University of Johannesburg; University of Johannesburg","keywords":"Business","score_opus":0.024457368287690216,"score_gpt":0.2689792072104908,"score_spread":0.24452183892280058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404727386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18661301,0.00056125893,0.78631794,0.00046161033,0.00038947997,0.0012135686,0.00037580368,0.0095805265,0.014486866],"genre_scores_gemma":[0.7884489,0.00024693258,0.1993546,0.00022945789,0.0000681387,0.0006309771,0.00021672035,0.000131546,0.010672724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994837,0.000048690126,0.000033275675,0.00015003796,0.00023290225,0.00005132643],"domain_scores_gemma":[0.9997179,0.000024236722,0.000042227006,0.000043966797,0.00013837835,0.00003332623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023599176,0.00044890534,0.0004971855,0.00042331358,0.00047101293,0.0006571305,0.0016814892,0.0007434389,0.0041359216],"category_scores_gemma":[0.00031070027,0.00034844395,0.00037327004,0.00020309867,0.00019710702,0.0005651938,0.00045558985,0.0003941771,0.0014860061],"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":[0.00037995586,0.00038641732,0.0035271,0.0007709586,0.00007186052,0.0008596262,0.0004067982,0.016441468,0.7296093,0.0025326647,0.0043187346,0.24069501],"study_design_scores_gemma":[0.00031914996,0.0038032136,0.017587885,0.00012996195,0.00021073673,0.0017685152,0.00026198386,0.29573977,0.5760377,0.0014524356,0.10249027,0.00019844255],"about_ca_topic_score_codex":0.00082890375,"about_ca_topic_score_gemma":0.00065088604,"teacher_disagreement_score":0.0041359216,"about_ca_system_score_codex":0.0002796265,"about_ca_system_score_gemma":0.00055908016,"threshold_uncertainty_score":0.013836086},"labels":[],"label_agreement":null},{"id":"W4412463271","doi":"10.1016/j.uncres.2025.100212","title":"Laboratory evaluation of an innovative polyfraction nanoemulsion for enhanced oil recovery in carbonate reservoirs","year":2025,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Enhanced Oil Recovery Techniques","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":"Carbonate; Petroleum engineering; Enhanced oil recovery; Chemistry; Environmental science; Chemical engineering; Geology; Engineering; Organic chemistry","score_opus":0.011712807001930692,"score_gpt":0.29110307922082274,"score_spread":0.27939027221889207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412463271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955218,0.00028771503,0.0034023821,0.000050115912,0.000013867838,0.000067331974,0.00014820472,0.00006404173,0.0004445436],"genre_scores_gemma":[0.9901348,0.00046337929,0.0080610225,0.0000229288,0.000005742832,0.000078163124,0.00016813356,0.000025076504,0.0010407566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988174,0.000016989776,0.000010405748,0.000028804276,0.000042062373,0.000019959352],"domain_scores_gemma":[0.9998666,0.000031142863,0.00003602321,0.000008525254,0.00003939764,0.000018200517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033715347,0.0002952137,0.00023860062,0.00014072238,0.00015077127,0.00024711763,0.00032314123,0.00030224494,0.00047582848],"category_scores_gemma":[0.00029674766,0.00010220781,0.00028521864,0.00013414421,0.00018572251,0.00032747438,0.0002393911,0.0003423754,0.00011561157],"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":[0.00005902464,0.000052491145,0.00006591284,0.0000818477,0.000003324583,0.000034958804,0.000019301942,0.00030334137,0.99846387,0.000027484397,0.000019523135,0.00086886587],"study_design_scores_gemma":[0.00001065525,0.00046868928,0.00029129747,0.000004224508,0.000007232021,0.000019128503,0.000011326651,0.0012274033,0.99757236,0.0000065929485,0.0003754384,0.0000055369032],"about_ca_topic_score_codex":0.0011280231,"about_ca_topic_score_gemma":0.0013378443,"teacher_disagreement_score":0.0011280231,"about_ca_system_score_codex":0.00025752277,"about_ca_system_score_gemma":0.00026494396,"threshold_uncertainty_score":0.0022429228},"labels":[],"label_agreement":null},{"id":"W4415423809","doi":"10.1016/j.uncres.2025.100265","title":"Experimental study on the expansion of foamy bitumen for CO2 huff-n-puff process","year":2025,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Solubility; Thermal expansion; Expansion ratio; Swelling; Carbon dioxide","score_opus":0.015044126585099162,"score_gpt":0.2918593568714576,"score_spread":0.2768152302863584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415423809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99406236,0.00039862512,0.0037524565,0.000035388108,0.000012736645,0.000058593985,0.0002062353,0.00005092613,0.0014227529],"genre_scores_gemma":[0.9938425,0.0004961784,0.004005792,0.000022326878,0.000007600975,0.000053913664,0.00019443758,0.000021593443,0.0013556874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996648,0.0000300674,0.000017760944,0.00005801295,0.00017101665,0.000058390273],"domain_scores_gemma":[0.9997123,0.00008796845,0.000056777477,0.000033125652,0.00008707777,0.000022781698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000410335,0.00040004626,0.00037380273,0.00025928553,0.00050242123,0.00024691297,0.00034743754,0.00039929358,0.0014999756],"category_scores_gemma":[0.00054825185,0.00016515108,0.00021688583,0.00031693355,0.00041524097,0.0004664137,0.00032798588,0.00050138903,0.0002564459],"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":[0.00013740642,0.000030087445,0.0004090238,0.00011625353,0.0000033652968,0.00012467844,0.00010068382,0.00041553157,0.9961367,0.000089285946,0.00004414052,0.0023928194],"study_design_scores_gemma":[0.000004579059,0.00017744793,0.0019695058,0.0000075561757,0.0000074153,0.00008247414,0.00006603439,0.0012231116,0.9954223,0.000020275464,0.0010082413,0.00001097793],"about_ca_topic_score_codex":0.0036506325,"about_ca_topic_score_gemma":0.0058431346,"teacher_disagreement_score":0.0036506325,"about_ca_system_score_codex":0.00053899444,"about_ca_system_score_gemma":0.00037697624,"threshold_uncertainty_score":0.007258773},"labels":[],"label_agreement":null},{"id":"W4415760490","doi":"10.1016/j.uncres.2025.100264","title":"Mathematical modeling of reversible and irreversible adsorption dynamics during CO2 storage in coal formation","year":2025,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Adsorption; Coal; Mathematical model; Function (biology); Coal mining","score_opus":0.009792953179937334,"score_gpt":0.20390022165611194,"score_spread":0.1941072684761746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415760490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18659517,0.0028869852,0.72925717,0.0025122133,0.00030436058,0.00029006277,0.0013719215,0.0006028645,0.07617924],"genre_scores_gemma":[0.91698027,0.0027475473,0.04352349,0.0003767487,0.00009233818,0.0007227452,0.0004662435,0.00015864604,0.034931876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999793,0.000036904705,0.00001161865,0.00004049773,0.00006564227,0.000052395913],"domain_scores_gemma":[0.9996263,0.00017249997,0.000068796464,0.000027036518,0.00008189479,0.000023547782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045240513,0.00069235987,0.00066639396,0.00055024226,0.0007081497,0.0012158528,0.0015793203,0.0017145633,0.0025475684],"category_scores_gemma":[0.0010128851,0.0005642489,0.001144686,0.00054252177,0.001289623,0.0014169457,0.0009725708,0.0009784433,0.0004956231],"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":[0.000016356067,0.000028246737,0.00045309338,0.00007075238,0.000011837278,0.000115210474,0.00006112052,0.95158637,0.0044421074,0.040354945,0.00047171238,0.0023882263],"study_design_scores_gemma":[0.0000019795327,0.000004322398,0.00007549624,0.0000028212455,0.0000023859582,0.0000119727365,0.0000063548414,0.9974529,0.00029385934,0.0017739037,0.0003704467,0.0000035278724],"about_ca_topic_score_codex":0.013324596,"about_ca_topic_score_gemma":0.004832436,"teacher_disagreement_score":0.013324596,"about_ca_system_score_codex":0.0014288041,"about_ca_system_score_gemma":0.0017056811,"threshold_uncertainty_score":0.026494086},"labels":[],"label_agreement":null},{"id":"W7076051239","doi":"10.1016/j.uncres.2025.100232","title":"Steam injection pressures and rates, variable permeabilities systems, and wells alignments parameterization in SAGD: A simulation study","year":2025,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Geochemistry and Geologic Mapping","field":"Computer 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 Calgary","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Injector; Steam injection; Injection well; Water injection (oil production); Oil field; Secondary air injection; Oil production; Volume (thermodynamics)","score_opus":0.011973153136386779,"score_gpt":0.2590121894161732,"score_spread":0.24703903627978643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7076051239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95412666,0.00062256097,0.028688563,0.00040965813,0.000054505013,0.00013533792,0.00089937577,0.00023841372,0.014824954],"genre_scores_gemma":[0.9925902,0.00026291123,0.0052418928,0.000025913909,0.0000066332673,0.0000673164,0.0003078044,0.000024680388,0.0014727078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999767,0.00006287388,0.000015896201,0.00003086006,0.000050378556,0.00007305917],"domain_scores_gemma":[0.9987698,0.00082059845,0.00010620153,0.000053342843,0.00019200558,0.0000579357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065607915,0.00069455133,0.00077076897,0.0010418976,0.0006060748,0.001012277,0.0006686173,0.0014838008,0.002496989],"category_scores_gemma":[0.0015852277,0.0004234736,0.0012982591,0.0006888903,0.00057936815,0.0009154284,0.0006110307,0.0010337643,0.00021333458],"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":[0.000074997486,0.00009167596,0.0047801775,0.00006942963,0.000015238974,0.00011028007,0.00003642176,0.99020875,0.0010300531,0.0007573372,0.00023184874,0.0025937601],"study_design_scores_gemma":[0.0000133034955,0.000035016034,0.00053875794,0.0000074568297,0.000008733045,0.000009963126,0.000041332023,0.9982993,0.0006203468,0.00014852712,0.00027081696,0.000006518294],"about_ca_topic_score_codex":0.031094339,"about_ca_topic_score_gemma":0.01472184,"teacher_disagreement_score":0.031094339,"about_ca_system_score_codex":0.00091607054,"about_ca_system_score_gemma":0.0009481613,"threshold_uncertainty_score":0.061826706},"labels":[],"label_agreement":null},{"id":"W7081974487","doi":"10.1016/j.uncres.2025.100243","title":"Model and application of CO2-EOR injection and production parameters for high pour-point oil reservoirs: A case study of SUBEI A reservoir","year":2025,"lang":"en","type":"article","venue":"Unconventional Resources","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Water flooding; Sorting; Oil production; Rank correlation; Spearman's rank correlation coefficient; Water injection (oil production); Flooding (psychology); Ranking (information retrieval); Enhanced oil recovery","score_opus":0.023864789653249344,"score_gpt":0.2636943543355842,"score_spread":0.23982956468233485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081974487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000211,0.00038303089,0.0887314,0.0003670023,0.000031212498,0.00014467888,0.0003824277,0.00022461942,0.009714457],"genre_scores_gemma":[0.99397075,0.00010291044,0.004314197,0.0000075106395,0.000003091404,0.000048504342,0.000051238854,0.000008391567,0.0014935046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998683,0.000027509697,0.000008330243,0.00003072557,0.000029088775,0.000036064623],"domain_scores_gemma":[0.9997789,0.00010103683,0.00004018454,0.000011638958,0.000050922332,0.00001730565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003671325,0.00065328984,0.00057449425,0.00048734792,0.0005757073,0.00094469247,0.0008377658,0.0014779902,0.0011801899],"category_scores_gemma":[0.00052163407,0.00040261587,0.0007008059,0.00039629138,0.00055567693,0.0006066065,0.000610732,0.00050801,0.00011389604],"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":[0.000031726544,0.00003845405,0.0022757116,0.00004599328,0.000010247008,0.0003341706,0.000023556287,0.9905234,0.0042979964,0.0006934428,0.000084667554,0.0016406146],"study_design_scores_gemma":[0.0000042600495,0.000021552787,0.00032257228,0.0000014788025,0.000005983926,0.000012158075,0.000021032047,0.99831283,0.0010851489,0.00012227919,0.00008615223,0.000004418313],"about_ca_topic_score_codex":0.026996192,"about_ca_topic_score_gemma":0.017233092,"teacher_disagreement_score":0.026996192,"about_ca_system_score_codex":0.0011038103,"about_ca_system_score_gemma":0.001353236,"threshold_uncertainty_score":0.053678095},"labels":[],"label_agreement":null}]}