{"meta":{"query_hash":"8a5705c1e552","filters":{"venue":"OPEC Energy Review"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/8a5705c1e552","api":"https://metacan.xera.ac/api/v1/cohort?venue=OPEC+Energy+Review"},"results":[{"id":"W1507947948","doi":"10.1111/j.1753-0237.2012.00220.x","title":"Linear and asymmetric impacts of oil price shocks in an oil‐importing and ‐exporting economy: the case of Nigeria","year":2012,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Simon Fraser University","funders":"","keywords":"Economics; Oil price; Shock (circulatory); Inflation (cosmology); Granger causality; Vector autoregression; Monetary economics; Economy; Supply shock; Macroeconomics; Econometrics; Monetary policy","score_opus":0.027661448741900862,"score_gpt":0.26571399141825713,"score_spread":0.23805254267635628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507947948","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":[0.9897653,0.0012418545,0.0025087872,0.0007210112,0.00002136047,0.000008905244,0.00006858414,0.0000055962455,0.005658626],"genre_scores_gemma":[0.99808466,0.0012195745,0.00018739302,0.000016202726,0.0000069899384,0.0000018186186,0.000019226907,0.0000011052697,0.0004629173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989045,0.000048166377,0.000007923473,0.000010887911,0.000018036246,0.000024641107],"domain_scores_gemma":[0.9996414,0.00022618107,0.00007428972,0.00001090463,0.00003618196,0.0000110480805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040732123,0.00012847935,0.00022423179,0.00031355038,0.00024675482,0.00086061936,0.00012860524,0.00039961727,0.00095138006],"category_scores_gemma":[0.00089488673,0.000117744705,0.00022416103,0.00052127347,0.00040270612,0.0005932449,0.0003480807,0.00046965427,0.00007317629],"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":[0.00049331656,0.00034827064,0.2772072,0.0005671983,0.00026071584,0.016534938,0.0015073321,0.3490736,0.006311938,0.27889356,0.0036546956,0.065147266],"study_design_scores_gemma":[0.00009130931,0.00025596537,0.23615056,0.00033328604,0.0003224096,0.0016691493,0.00822752,0.6323094,0.004456465,0.10270818,0.013369192,0.00010662554],"about_ca_topic_score_codex":0.009493893,"about_ca_topic_score_gemma":0.0085812695,"teacher_disagreement_score":0.009493893,"about_ca_system_score_codex":0.00042963296,"about_ca_system_score_gemma":0.00044869867,"threshold_uncertainty_score":0.018877268},"labels":[],"label_agreement":null},{"id":"W1552776843","doi":"10.1111/j.1753-0237.2012.00215.x","title":"Transitions in the Chinese market for refined petroleum products","year":2012,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"China; Petroleum; Economics; Petroleum product; sort; Consumption (sociology); Energy security; Crude oil; Empirical research; Natural resource economics; Engineering; Petroleum engineering; Chemistry; Political science; Renewable energy","score_opus":0.0155546032839004,"score_gpt":0.261133555676784,"score_spread":0.24557895239288358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552776843","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":[0.96437716,0.013697153,0.00015071321,0.001647651,0.000021797652,0.000016272372,0.0009281605,0.0000076375745,0.019153383],"genre_scores_gemma":[0.9878889,0.0086875865,0.000073064,0.00011546912,0.000016288363,0.0000037580276,0.00040303453,6.996679e-7,0.002811139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990153,0.000012725698,0.0000072507046,0.000015079129,0.000042825184,0.000020533505],"domain_scores_gemma":[0.99977106,0.000035966666,0.00007335877,0.000008232094,0.00009100839,0.000020240437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031320678,0.00009708549,0.00011395698,0.00089740095,0.00016442391,0.00054160546,0.00017823867,0.00019615628,0.0024040476],"category_scores_gemma":[0.00039064258,0.000037805552,0.00015310827,0.0015657694,0.00017497358,0.00025939607,0.00014674649,0.00011866152,0.000091578055],"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":[0.00048821908,0.00017174178,0.6319336,0.0027074453,0.00032224567,0.0025151686,0.003706792,0.008176764,0.01723667,0.063828506,0.014382119,0.25453067],"study_design_scores_gemma":[0.000015359028,0.00012590889,0.9367614,0.0001507612,0.00009373054,0.00015574861,0.0019485367,0.002359193,0.0025389197,0.0013876295,0.0544386,0.000024223362],"about_ca_topic_score_codex":0.07694627,"about_ca_topic_score_gemma":0.08938396,"teacher_disagreement_score":0.07694627,"about_ca_system_score_codex":0.001249037,"about_ca_system_score_gemma":0.0013107449,"threshold_uncertainty_score":0.15299678},"labels":[],"label_agreement":null},{"id":"W1896856131","doi":"10.1111/opec.12050","title":"Asymmetric effects of oil price shocks in oil‐exporting countries: the role of institutions","year":2015,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":92,"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 Saskatchewan","funders":"","keywords":"Economics; Oil price; Shock (circulatory); Monetary economics; Exchange rate; Revenue; Developing country; Context (archaeology); Panel data; Macroeconomics; Econometrics; Finance","score_opus":0.024978242731922236,"score_gpt":0.2429757599512628,"score_spread":0.21799751721934058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1896856131","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":[0.98985577,0.001335617,0.0011085629,0.0006916817,0.00001738932,0.000010070533,0.000314682,0.000017854725,0.0066484795],"genre_scores_gemma":[0.9989146,0.0005441598,0.00005631581,0.000027491611,0.00001613458,0.0000012645525,0.00012037538,0.0000026121,0.00031714447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995223,0.00015365615,0.000044201428,0.000062780004,0.0001037091,0.000113320224],"domain_scores_gemma":[0.9942551,0.0019876016,0.0027642082,0.00028062882,0.00047838475,0.00023399969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011620291,0.00018354692,0.0004632041,0.00094806653,0.00018122983,0.0015560064,0.00022854873,0.00043841382,0.0027094136],"category_scores_gemma":[0.0049147643,0.00012980758,0.00038814973,0.0016859126,0.00049886794,0.00088999345,0.0007151677,0.00064403965,0.00028192787],"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":[0.00045543752,0.00015806143,0.899982,0.00021140004,0.0006349848,0.0011512688,0.00044610855,0.029401133,0.0025272951,0.019992575,0.0021074386,0.042932335],"study_design_scores_gemma":[0.0000276918,0.00009899457,0.97387165,0.00007726413,0.00016537761,0.00015998023,0.0009566864,0.012490586,0.0014636918,0.0084719015,0.0021877915,0.000028298278],"about_ca_topic_score_codex":0.004127385,"about_ca_topic_score_gemma":0.0024120593,"teacher_disagreement_score":0.004127385,"about_ca_system_score_codex":0.00047533817,"about_ca_system_score_gemma":0.00031355605,"threshold_uncertainty_score":0.0090638995},"labels":[],"label_agreement":null},{"id":"W2011584411","doi":"10.1111/j.1753-0237.2009.00170.x","title":"Theoretical explanations for asymmetric relationships between gasoline and crude oil prices with focus on the US market","year":2009,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Energy Research Institute","funders":"","keywords":"Gasoline; Crude oil; Economics; Market power; Margin (machine learning); Focus (optics); Order (exchange); Econometrics; Financial economics; Microeconomics; Petroleum engineering; Chemistry; Monopoly; Computer science","score_opus":0.03386938122534583,"score_gpt":0.23830128384281782,"score_spread":0.204431902617472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011584411","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":[0.7025202,0.03944455,0.06814106,0.02120542,0.00023884734,0.00014599861,0.00086176937,0.00013694415,0.16730526],"genre_scores_gemma":[0.9901841,0.006099267,0.0014978169,0.00025009675,0.00010558643,0.000020008281,0.00013294084,0.0000064923825,0.0017036968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995995,0.00010872331,0.000029787034,0.00007090336,0.00013090343,0.000060177947],"domain_scores_gemma":[0.9948003,0.0033141968,0.0012521545,0.00017706142,0.0003892828,0.00006689392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014591487,0.00028741747,0.00046755953,0.0027129927,0.00036513232,0.001879657,0.00070272305,0.0011638419,0.0087558115],"category_scores_gemma":[0.005357482,0.00022765031,0.00061000016,0.001835901,0.0013261997,0.002649863,0.0007431379,0.00096889114,0.00045955295],"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":[0.000085969594,0.00007955712,0.028246263,0.00039617036,0.00010446302,0.0009936749,0.00048274614,0.007943923,0.00085051,0.9248966,0.003119093,0.032801],"study_design_scores_gemma":[0.00005657665,0.00006936169,0.03312631,0.00035284852,0.0001564893,0.000804251,0.0015488084,0.044635992,0.0011507643,0.9033479,0.014702403,0.000048287286],"about_ca_topic_score_codex":0.0017257772,"about_ca_topic_score_gemma":0.00082438515,"teacher_disagreement_score":0.0087558115,"about_ca_system_score_codex":0.0010616431,"about_ca_system_score_gemma":0.0005208309,"threshold_uncertainty_score":0.029291093},"labels":[],"label_agreement":null},{"id":"W2039135048","doi":"10.1111/j.1753-0237.2012.00229.x","title":"Oil revenue, institutions and macroeconomic indicators in <scp>N</scp>igeria","year":2013,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The North South Institute","funders":"","keywords":"Economics; Revenue; Context (archaeology); Endowment; Fiscal policy; Exchange rate; Monetary economics; Government revenue; Inflation (cosmology); Oil boom; Government (linguistics); Government spending; Public economics; Macroeconomics; Finance; Market economy","score_opus":0.021171505259597247,"score_gpt":0.21675390182192944,"score_spread":0.1955823965623322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039135048","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":[0.93348384,0.039738584,0.00039452917,0.001240404,0.000034982273,0.00003275327,0.0011924418,0.000014372972,0.023868117],"genre_scores_gemma":[0.9771956,0.018740997,0.00021914131,0.0000675613,0.000036429905,0.000014661993,0.0010087973,0.000003343058,0.0027133708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997993,0.000068547495,0.000018655108,0.000027437713,0.000050902538,0.000035152723],"domain_scores_gemma":[0.9991339,0.0001771761,0.00035750133,0.000025309511,0.00027662472,0.000029412431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079789996,0.00015612639,0.00022655183,0.0017370221,0.00017929736,0.0011440716,0.00018008568,0.00018024407,0.0012697816],"category_scores_gemma":[0.0015565739,0.000063439315,0.00020418581,0.0027508107,0.00026608893,0.00039628398,0.00033318507,0.00025108145,0.000235206],"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":[0.0004487077,0.00025632474,0.7868761,0.001774725,0.0005088689,0.0016681915,0.000930022,0.010651479,0.00094710593,0.016082954,0.011789127,0.16806638],"study_design_scores_gemma":[0.000021431506,0.00014231405,0.9474829,0.00076888985,0.00020076141,0.00047816234,0.0022529704,0.0028443248,0.00082268147,0.0015661191,0.04339865,0.00002078691],"about_ca_topic_score_codex":0.026777774,"about_ca_topic_score_gemma":0.03242326,"teacher_disagreement_score":0.026777774,"about_ca_system_score_codex":0.0013709473,"about_ca_system_score_gemma":0.0012171239,"threshold_uncertainty_score":0.053243816},"labels":[],"label_agreement":null},{"id":"W2101200275","doi":"10.1111/j.1753-0237.2008.00153.x","title":"Gasoline subsidy and consumer surplus in the Islamic Republic of Iran","year":2008,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Energy Research Institute","funders":"","keywords":"Subsidy; Economics; Economic surplus; Inflation (cosmology); Gasoline; Welfare; Islam; Islamic republic; Population; Market economy; Geography","score_opus":0.029710888238828826,"score_gpt":0.2516180430410419,"score_spread":0.22190715480221307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101200275","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":[0.76188475,0.18909845,0.00037522631,0.008862899,0.0001831096,0.000030301078,0.00057561946,0.0000130433855,0.038976654],"genre_scores_gemma":[0.9621678,0.035958994,0.00012205606,0.00029976908,0.00011140548,0.0000063854377,0.00019613473,0.0000011248115,0.001136272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975103,0.00009278867,0.000011922422,0.000019417539,0.00009563738,0.00002921792],"domain_scores_gemma":[0.99926895,0.0002208264,0.0002715965,0.0000108789445,0.00020890344,0.000018787634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007373534,0.00009370908,0.00018857059,0.0011911023,0.00014247138,0.0005308365,0.0001836187,0.0002999656,0.0016620338],"category_scores_gemma":[0.000874606,0.000051178864,0.00020747559,0.0017244458,0.00027573435,0.0002518508,0.00013792989,0.00029715136,0.00008082415],"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":[0.0015407464,0.00060617406,0.45777246,0.0057288,0.0011091095,0.0020042977,0.0013986203,0.008934773,0.0032317354,0.07099061,0.045009878,0.40167287],"study_design_scores_gemma":[0.00015203185,0.00043436087,0.87701285,0.0012355949,0.00056554226,0.00081697316,0.0029708226,0.0021962714,0.0012040121,0.011613335,0.10176744,0.00003071355],"about_ca_topic_score_codex":0.017194701,"about_ca_topic_score_gemma":0.023727112,"teacher_disagreement_score":0.017194701,"about_ca_system_score_codex":0.0013575449,"about_ca_system_score_gemma":0.0012271181,"threshold_uncertainty_score":0.034189224},"labels":[],"label_agreement":null},{"id":"W2102663477","doi":"10.1111/j.1753-0237.2008.00152.x","title":"US access to the global LNG market","year":2008,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Global Energy Security and Policy","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":"Liquefied natural gas; Portfolio; Production (economics); Business; Economics; Natural gas; Distribution (mathematics); Natural resource economics; International trade; Commerce; International economics; Finance; Engineering; Macroeconomics; Waste management","score_opus":0.035823874097248805,"score_gpt":0.306925309953326,"score_spread":0.2711014358560772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102663477","genre_codex":"other","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":[0.069316775,0.09499612,0.00065504137,0.01053473,0.00028583812,0.00001643413,0.001144749,0.00008708035,0.8229631],"genre_scores_gemma":[0.69837457,0.14849666,0.0006988792,0.0026956387,0.0007032366,0.000032818887,0.0017548032,0.00004955164,0.14719382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996848,0.00006611848,0.000012068857,0.000034707347,0.00012771013,0.000074591895],"domain_scores_gemma":[0.9996935,0.000073392344,0.00006721526,0.000021972352,0.00011355732,0.000030329189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042082145,0.00019256027,0.00016866723,0.0013761013,0.00040800715,0.0019935956,0.00023339385,0.0008474345,0.03278466],"category_scores_gemma":[0.0008754565,0.000061581384,0.00018631938,0.0022075777,0.00037129287,0.001332713,0.0009015743,0.00037619204,0.0024668293],"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":[0.00017953476,0.00010951702,0.025223266,0.0009886456,0.00006863159,0.0014890473,0.000922997,0.0023471701,0.0026086557,0.31222692,0.12959336,0.5242422],"study_design_scores_gemma":[0.0000063478233,0.00004187103,0.009022253,0.0003696191,0.000015165883,0.00050647504,0.00069193565,0.00027209634,0.00059809757,0.008675391,0.97979087,0.000009933914],"about_ca_topic_score_codex":0.01334336,"about_ca_topic_score_gemma":0.017294616,"teacher_disagreement_score":0.03278466,"about_ca_system_score_codex":0.0010922856,"about_ca_system_score_gemma":0.0010609551,"threshold_uncertainty_score":0.109675646},"labels":[],"label_agreement":null},{"id":"W2257545106","doi":"10.1111/opec.12089","title":"Shale oil boom and the profitability of US petroleum refiners","year":2016,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Profitability index; Oil shale; Boom; Crack spread; Refinery; Shale oil; Oil refinery; Petroleum; Production (economics); Economics; Crude oil; Petroleum product; Shale oil extraction; Domestic market; Oil-storage trade; Agricultural economics; Monetary economics; Pulp and paper industry; Environmental science; Petroleum engineering; Oil price; Waste management; Finance; Macroeconomics; Chemistry; Engineering; Environmental engineering; International trade","score_opus":0.015929809803879497,"score_gpt":0.20821490879774399,"score_spread":0.19228509899386448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257545106","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":[0.9708769,0.012712779,0.00041637808,0.0014286486,0.000018886787,0.000005936449,0.00089029036,0.000010126043,0.013640149],"genre_scores_gemma":[0.9952354,0.0034710232,0.00003883721,0.000030946892,0.000021899015,8.748519e-7,0.00034691318,0.0000013475988,0.00085278443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999841,0.000028891302,0.000009537613,0.000016117556,0.00007355705,0.00003090611],"domain_scores_gemma":[0.99883014,0.00023764791,0.0005450325,0.000019920437,0.00029473775,0.00007255805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036178296,0.000093780414,0.00013624145,0.0009304686,0.000101899706,0.0009694189,0.00009430592,0.00022605255,0.0013871106],"category_scores_gemma":[0.00193186,0.000055172604,0.0001231644,0.0014724496,0.00022873205,0.00050849107,0.00029410375,0.00024278868,0.00023645957],"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":[0.00020542592,0.00006671671,0.89142936,0.00024644504,0.00023036778,0.00049633725,0.00041034844,0.009111905,0.0018283947,0.023488108,0.009673582,0.06281304],"study_design_scores_gemma":[0.0000064925775,0.000068060675,0.97227263,0.0000840442,0.000036739275,0.0002210396,0.0009947137,0.005255098,0.00075301935,0.0032435255,0.017045844,0.000018795516],"about_ca_topic_score_codex":0.015923733,"about_ca_topic_score_gemma":0.016799685,"teacher_disagreement_score":0.015923733,"about_ca_system_score_codex":0.00072639267,"about_ca_system_score_gemma":0.00036815627,"threshold_uncertainty_score":0.031662107},"labels":[],"label_agreement":null},{"id":"W2730780787","doi":"10.1111/opec.12104","title":"The causal relationship in North American energy production","year":2017,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Natural gas; Context (archaeology); Production (economics); Cointegration; Fossil fuel; Natural resource economics; Hydraulic fracturing; Natural gas prices; Economics; Oil and natural gas; Crude oil; Energy market; Petroleum engineering; Econometrics; Geography; Renewable energy; Engineering; Macroeconomics; Waste management","score_opus":0.040288605349227694,"score_gpt":0.25667901009598104,"score_spread":0.21639040474675336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730780787","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":[0.9706252,0.0032953448,0.0011768203,0.001513169,0.000022825094,0.000013736253,0.00096662465,0.000013472228,0.022372758],"genre_scores_gemma":[0.9968713,0.001669008,0.00015753375,0.000036695226,0.000011238643,0.000005195078,0.00031841334,0.0000015880156,0.0009290753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997588,0.00006795593,0.000011783837,0.000051305517,0.00007635566,0.000033788558],"domain_scores_gemma":[0.99899536,0.00042675305,0.00027230397,0.000038973638,0.00022794808,0.00003862206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005211314,0.00007425333,0.000116453586,0.001093544,0.00023712445,0.00084616046,0.00013805478,0.0001533786,0.0025932356],"category_scores_gemma":[0.0018579934,0.00008982141,0.00016475645,0.002638598,0.00029083164,0.00035204168,0.00034748955,0.00028744704,0.00010879666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056966324,0.00007392817,0.9206075,0.000100662124,0.00021058526,0.00033928527,0.0010199066,0.0041927695,0.0005965643,0.027230276,0.0026520432,0.042919446],"study_design_scores_gemma":[0.0000032979208,0.000009931704,0.98346126,0.000045391134,0.00003542,0.00006576703,0.0014425485,0.003107606,0.00017244747,0.004008125,0.0076393094,0.000008894456],"about_ca_topic_score_codex":0.16517042,"about_ca_topic_score_gemma":0.21020679,"teacher_disagreement_score":0.83482957,"about_ca_system_score_codex":0.0012246643,"about_ca_system_score_gemma":0.0011472289,"threshold_uncertainty_score":0.32841808},"labels":[],"label_agreement":null},{"id":"W2885801041","doi":"10.1111/opec.12126","title":"Asymmetric effects of the<scp>WTI</scp>crude oil price on unemployment rates: a comparative study of Canadian provinces and the United States","year":2018,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Mount Royal University","funders":"","keywords":"Economics; Unemployment; West Texas Intermediate; Granger causality; Oil price; Boom; Sample (material); Crude oil; Demographic economics; Econometrics; Monetary economics; Macroeconomics; Chemistry; Environmental science; Engineering","score_opus":0.027428316882361237,"score_gpt":0.24833055201816287,"score_spread":0.22090223513580162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885801041","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":[0.98239535,0.0034218137,0.00021083998,0.00046282195,0.000019563613,0.000018601531,0.004037188,0.000010010324,0.009423775],"genre_scores_gemma":[0.99580103,0.0016867336,0.00012279108,0.000044536966,0.000006942412,0.0000039120214,0.0014719488,0.00000457134,0.00085753883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993142,0.000049348437,0.00003821,0.00006629035,0.000262781,0.00026912376],"domain_scores_gemma":[0.99778724,0.00023970136,0.00036674883,0.000060460807,0.0013309672,0.00021487409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007967672,0.0002017611,0.0003522992,0.0030186023,0.0016500611,0.0012347967,0.00047626067,0.00018706844,0.0014686106],"category_scores_gemma":[0.0025034286,0.00012132871,0.00055410084,0.0066224756,0.00048037324,0.00024233609,0.0004852201,0.0002519351,0.00011964101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001919031,0.00003450323,0.9650573,0.00018178832,0.00018842609,0.00034833438,0.0017778435,0.00073391426,0.00040022063,0.0016584311,0.0031701073,0.026257083],"study_design_scores_gemma":[0.0000030849817,0.000010211006,0.9938811,0.000050391118,0.000053233172,0.000037198522,0.0021190452,0.00045449883,0.00012342252,0.000043176275,0.0032114505,0.000013238848],"about_ca_topic_score_codex":0.99264866,"about_ca_topic_score_gemma":0.9952863,"teacher_disagreement_score":0.0112128705,"about_ca_system_score_codex":0.0112128705,"about_ca_system_score_gemma":0.02011412,"threshold_uncertainty_score":0.08135545},"labels":[],"label_agreement":null},{"id":"W2964173659","doi":"10.1111/opec.12161","title":"Oil and Africa’s macroeconomy: are structural breaks important?","year":2019,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Economics; Oil price; Great Moderation; Quarter (Canadian coin); Inflation (cosmology); Impulse response; Shock (circulatory); Moderation; Gross domestic product; Monetary economics; Macroeconomics; Monetary policy; Geography","score_opus":0.014630759931157986,"score_gpt":0.2084869142504856,"score_spread":0.19385615431932762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964173659","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":[0.8865872,0.07242416,0.0037401987,0.0141705135,0.00018812415,0.000028292197,0.00084682147,0.000019168596,0.021995567],"genre_scores_gemma":[0.9819749,0.016900346,0.00021286278,0.00014030447,0.00011239943,0.0000035776682,0.00011948278,0.0000037033687,0.00053256215],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997116,0.00011063865,0.000021199352,0.00003655856,0.00005216027,0.0000678202],"domain_scores_gemma":[0.9978795,0.00096063095,0.00085403665,0.00008098076,0.00015220487,0.0000726409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012634787,0.00012187334,0.00040660278,0.00096542935,0.00021331607,0.0013438066,0.0002381999,0.00047790806,0.0025151416],"category_scores_gemma":[0.004241835,0.00010313595,0.0003518424,0.002249255,0.0004529078,0.0011105705,0.00046460194,0.00066559,0.00015786289],"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":[0.00057574053,0.00021541619,0.49806458,0.002419945,0.0019549131,0.0018666298,0.0022565692,0.03990081,0.0035361876,0.1975913,0.0077509275,0.24386702],"study_design_scores_gemma":[0.000031457006,0.00022220463,0.87469804,0.0010545012,0.00039161817,0.00026827314,0.004209146,0.016592238,0.0009958511,0.06255359,0.03894069,0.000042336247],"about_ca_topic_score_codex":0.0057787504,"about_ca_topic_score_gemma":0.006025518,"teacher_disagreement_score":0.0057787504,"about_ca_system_score_codex":0.0005091716,"about_ca_system_score_gemma":0.00050180167,"threshold_uncertainty_score":0.011490226},"labels":[],"label_agreement":null},{"id":"W3018416602","doi":"10.1111/opec.12168","title":"The Presidential Amnesty Programme of 2009 and Nigerian Oil Production: a disaggregate econometric analysis","year":2020,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Amnesty; Presidential system; Revenue; Economics; Production (economics); Surrender; Political science; Finance; Politics; Law; Macroeconomics","score_opus":0.029691149057451932,"score_gpt":0.2038334573657765,"score_spread":0.17414230830832456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018416602","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":[0.9919933,0.0005683546,0.0025861578,0.00071550516,0.000026891526,0.000024947087,0.0015016816,0.000026600419,0.0025565755],"genre_scores_gemma":[0.9952225,0.0004783034,0.00040487613,0.000056007902,0.000020549132,0.000020251337,0.0013559007,0.0000046042796,0.002437107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991134,0.0004003666,0.00004743898,0.000110978755,0.00013671009,0.00019109815],"domain_scores_gemma":[0.99535334,0.0034401289,0.00069679855,0.00011960286,0.00020655926,0.0001836528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017368823,0.00029059494,0.0008695857,0.00078366016,0.00044514288,0.0018461384,0.00037380224,0.0008511604,0.004245337],"category_scores_gemma":[0.004538143,0.00035222498,0.0008250708,0.001245826,0.0006144122,0.0007328657,0.0010369626,0.0015467603,0.0006895495],"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":[0.0005551895,0.0006739058,0.62858,0.00019750312,0.00092680525,0.0012942663,0.00053028186,0.32682434,0.0012204924,0.013688708,0.0050550774,0.020453373],"study_design_scores_gemma":[0.00008994128,0.00052444875,0.6175876,0.000118301024,0.00047374773,0.0002048834,0.0031322225,0.3645246,0.0009738325,0.0048372475,0.0074374704,0.00009565063],"about_ca_topic_score_codex":0.05474057,"about_ca_topic_score_gemma":0.035062533,"teacher_disagreement_score":0.05474057,"about_ca_system_score_codex":0.0014512851,"about_ca_system_score_gemma":0.0009486832,"threshold_uncertainty_score":0.10884392},"labels":[],"label_agreement":null},{"id":"W3111689410","doi":"10.1111/opec.12190","title":"Green or gas in OPEC member countries: a linear and asymmetric investigation of energy–growth nexus","year":2020,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"Dalhousie University","funders":"","keywords":"Nexus (standard); Complementarity (molecular biology); Economics; Fossil fuel; Renewable energy; Member states; International economics; Developing country; International trade; Economic growth; European union; Biology; Ecology","score_opus":0.04383704853667221,"score_gpt":0.2230301490552308,"score_spread":0.17919310051855858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111689410","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":[0.9626218,0.006777758,0.008271248,0.0022086373,0.000054325035,0.000031737443,0.001106343,0.000038652266,0.01888962],"genre_scores_gemma":[0.99651045,0.0016868402,0.00048071204,0.00004134296,0.000016081325,0.000011138178,0.0002771177,0.0000061800392,0.000970193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953914,0.00020038047,0.000024392837,0.00007001797,0.000056035962,0.00011000687],"domain_scores_gemma":[0.9978782,0.0013344331,0.00044865665,0.00008165488,0.0002033936,0.000053668577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014384758,0.00032575152,0.00052222156,0.0017746481,0.00031731057,0.0015565057,0.00037117378,0.00043226974,0.0035009875],"category_scores_gemma":[0.0036132364,0.00015938278,0.00080740784,0.0025707348,0.00068560895,0.0013567726,0.0012028986,0.0007036575,0.00022525628],"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":[0.000279987,0.00019826443,0.5194128,0.0010367816,0.0011716605,0.0020155776,0.00091456535,0.24638352,0.0009604826,0.15405473,0.0047608614,0.068810776],"study_design_scores_gemma":[0.00004271334,0.00037190274,0.33770916,0.00092987664,0.00087582716,0.00052898354,0.0058378815,0.5611876,0.0020774775,0.06932207,0.021019079,0.00009750382],"about_ca_topic_score_codex":0.028829964,"about_ca_topic_score_gemma":0.01481298,"teacher_disagreement_score":0.028829964,"about_ca_system_score_codex":0.001170437,"about_ca_system_score_gemma":0.0010205937,"threshold_uncertainty_score":0.05732429},"labels":[],"label_agreement":null},{"id":"W3145753935","doi":"10.1111/opec.12204","title":"Energy market dynamics and the role of fiscal policy in oil‐exporting countries: a TVAR approach","year":2021,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Economics; Vector autoregression; Fiscal policy; Government expenditure; Inflation (cosmology); Deficit spending; Monetary economics; Oil price; Macroeconomics; Price level; Public finance","score_opus":0.009342274146000773,"score_gpt":0.21097338861403653,"score_spread":0.20163111446803575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145753935","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":[0.89896303,0.0061735134,0.06792287,0.0020549216,0.00007945085,0.000029608143,0.0009255684,0.0001308984,0.023720205],"genre_scores_gemma":[0.99315625,0.0024418046,0.0020950236,0.000032018022,0.00003516891,0.000007962455,0.00022840356,0.000010361524,0.0019929248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998054,0.000090612346,0.000011064486,0.000027731463,0.000032062904,0.00003318129],"domain_scores_gemma":[0.9991854,0.00047886872,0.00018789385,0.00002636903,0.00010124028,0.00002027298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084748864,0.00022503323,0.0004192087,0.00092506624,0.00016414179,0.0015063767,0.00040685904,0.00037407439,0.0015436015],"category_scores_gemma":[0.001771624,0.00019184701,0.0006135926,0.0010198064,0.0003280903,0.00062295323,0.00028795094,0.0007002922,0.00018459525],"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":[0.00021889631,0.00012872879,0.08977247,0.00038140424,0.00086189393,0.0005914909,0.0003998035,0.6262587,0.004172209,0.21693026,0.0039664367,0.056317795],"study_design_scores_gemma":[0.000015873997,0.000094451694,0.04151387,0.000092752656,0.00016452493,0.00006288498,0.00051781524,0.9262945,0.0011600149,0.025317647,0.004736556,0.000029153704],"about_ca_topic_score_codex":0.014005635,"about_ca_topic_score_gemma":0.008351406,"teacher_disagreement_score":0.014005635,"about_ca_system_score_codex":0.0007033307,"about_ca_system_score_gemma":0.0005586327,"threshold_uncertainty_score":0.027848244},"labels":[],"label_agreement":null},{"id":"W4210479918","doi":"10.1111/opec.12227","title":"Interconnection between cryptocurrencies and energy markets: an analysis of volatility spillover","year":2022,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":26,"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":"Cryptocurrency; Economics; Volatility (finance); Granger causality; Spillover effect; Econometrics; Index (typography); Financial economics; Monetary economics; Cash; Macroeconomics; Computer science","score_opus":0.014461468682213825,"score_gpt":0.2547044317374504,"score_spread":0.24024296305523657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210479918","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":[0.9823256,0.001768207,0.006911272,0.0010235796,0.000025961626,0.00003338995,0.0003371645,0.00007717614,0.007497616],"genre_scores_gemma":[0.99865746,0.00035546336,0.00029741754,0.000024240217,0.000017899389,0.0000050493272,0.000107410364,0.0000039230413,0.0005310545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996375,0.00009457906,0.00002140417,0.00006576326,0.00009553372,0.00008509465],"domain_scores_gemma":[0.9967986,0.0015583734,0.00095590256,0.00015023572,0.00034442762,0.00019249042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011933487,0.000250058,0.0004919347,0.0017906815,0.00032128367,0.0016560884,0.0003390234,0.00058563455,0.004630527],"category_scores_gemma":[0.004370826,0.00017925788,0.00065424346,0.0015247798,0.0005381761,0.002177787,0.0010185402,0.0008316399,0.00022110797],"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":[0.00045509604,0.00037960854,0.6202936,0.00034532914,0.0008185247,0.004930697,0.00074837275,0.15288465,0.005674161,0.14181648,0.0058115786,0.06584181],"study_design_scores_gemma":[0.00006856022,0.00022840215,0.36116552,0.00018176017,0.00039187365,0.00059523276,0.0013517049,0.5726947,0.0032546201,0.05264245,0.007315141,0.00011011692],"about_ca_topic_score_codex":0.0045928587,"about_ca_topic_score_gemma":0.0029176401,"teacher_disagreement_score":0.004630527,"about_ca_system_score_codex":0.00086741464,"about_ca_system_score_gemma":0.000640653,"threshold_uncertainty_score":0.015490711},"labels":[],"label_agreement":null},{"id":"W4210574288","doi":"10.1111/opec.12234","title":"Oil prices and Mexico’s exchange rates in North America","year":2022,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Disequilibrium; Economics; Oil price; Exchange rate; Purchasing power; Monetary economics; Monetary policy; Purchasing power parity; Central bank; International economics; Economy; Macroeconomics","score_opus":0.023845684856430672,"score_gpt":0.22756782825792726,"score_spread":0.20372214340149658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210574288","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":[0.98392534,0.0036947653,0.00019246047,0.0011794362,0.000015410904,0.000004257471,0.0008805124,0.0000102979775,0.01009757],"genre_scores_gemma":[0.9960621,0.0025706373,0.0000799333,0.00002980328,0.000029222956,0.0000025150077,0.0003811663,0.000002017159,0.00084264914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994934,0.000011000652,0.0000031398292,0.000010763565,0.000013815921,0.00001198934],"domain_scores_gemma":[0.999288,0.00017395127,0.0004205598,0.000012807728,0.000075794494,0.000029021809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288514,0.000089527166,0.00014583142,0.0009198626,0.00022979728,0.001146124,0.00013476756,0.00023477919,0.0020848538],"category_scores_gemma":[0.0011139362,0.000066152876,0.00010803885,0.0012781986,0.00015304361,0.00033131652,0.00020572261,0.00022400997,0.000099386925],"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":[0.0004056363,0.00012204408,0.9026344,0.0002248977,0.0003117337,0.0007763563,0.0014668774,0.0071353735,0.0018000113,0.02900143,0.0067265043,0.049394757],"study_design_scores_gemma":[0.000013460299,0.000024616793,0.9870544,0.00005171185,0.000051793035,0.000100298246,0.00073226116,0.002945562,0.00021747782,0.0015175914,0.007281504,0.000009359667],"about_ca_topic_score_codex":0.06767569,"about_ca_topic_score_gemma":0.054265987,"teacher_disagreement_score":0.06767569,"about_ca_system_score_codex":0.0009844674,"about_ca_system_score_gemma":0.00034374607,"threshold_uncertainty_score":0.1345635},"labels":[],"label_agreement":null},{"id":"W4365144952","doi":"10.1111/opec.12279","title":"Simulating policy responses to multiple economic shocks: An experiment with combined impacts of COVID‐19 and oil price crash on Kuwait","year":2023,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Kuwait Foundation for the Advancement of Sciences","keywords":"Shock (circulatory); Economics; Economic impact analysis; Crash; Coronavirus disease 2019 (COVID-19); Demand shock; Oil price; Supply shock; Baseline (sea); Oil supply; Macroeconomics; Econometrics; Quarter (Canadian coin); Monetary economics; Monetary policy; Microeconomics; Computer science; Engineering","score_opus":0.04434242849776488,"score_gpt":0.3064258110813013,"score_spread":0.2620833825835364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365144952","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":[0.9959507,0.00009956048,0.00090030656,0.00027087747,0.000022579678,0.00007591713,0.00050582545,0.000045831614,0.0021284635],"genre_scores_gemma":[0.9979346,0.00012568504,0.0008289021,0.000055411358,0.000005743214,0.000062579464,0.00040941752,0.000007431406,0.0005702799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940324,0.00034832198,0.00003480402,0.00006685046,0.00004524476,0.00010148278],"domain_scores_gemma":[0.9968483,0.002257308,0.00024025446,0.00017569365,0.00036238096,0.00011609496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017755073,0.00066729565,0.0005821366,0.00048001803,0.00043280702,0.0007585338,0.0009078113,0.0012019915,0.0018566967],"category_scores_gemma":[0.0039851195,0.00028775912,0.0006765682,0.0005913278,0.0005741272,0.00070673553,0.00074812025,0.0011402577,0.0001986871],"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":[0.0012272969,0.0020020383,0.018631184,0.00015139961,0.00025538416,0.00029864808,0.00017743521,0.9611421,0.001840754,0.00476435,0.00182394,0.007685393],"study_design_scores_gemma":[0.0004686258,0.0019666941,0.0148873525,0.000034987443,0.00020286127,0.000026806752,0.000552699,0.97431254,0.0032806722,0.0021092838,0.0020882348,0.000069150796],"about_ca_topic_score_codex":0.04788834,"about_ca_topic_score_gemma":0.030866053,"teacher_disagreement_score":0.04788834,"about_ca_system_score_codex":0.0018811274,"about_ca_system_score_gemma":0.0010884472,"threshold_uncertainty_score":0.095219195},"labels":[],"label_agreement":null},{"id":"W4404547114","doi":"10.1111/opec.12318","title":"Asymmetric role of energy sources on economic growth of Nigeria: Evidence from nonlinear approaches","year":2024,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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 Northern British Columbia","funders":"","keywords":"Renewable energy; Economics; Natural resource economics; Consumption (sociology); Sustainable development; Poverty; Fossil fuel; Electricity; Economic growth; Engineering; Political science","score_opus":0.03836068218653179,"score_gpt":0.21476362464367377,"score_spread":0.17640294245714197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404547114","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":[0.8817981,0.07420415,0.0032714577,0.0068175425,0.00016351657,0.000040884916,0.0009043485,0.000014908877,0.03278499],"genre_scores_gemma":[0.97331387,0.025235245,0.00022602764,0.00009834353,0.00006253539,0.000009704325,0.00024315061,0.000003780434,0.00080732413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926335,0.0003840454,0.00005043944,0.00008501707,0.00011974462,0.0000974652],"domain_scores_gemma":[0.987733,0.008957985,0.001967201,0.00024083913,0.0009227858,0.0001781597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023553083,0.000516137,0.00058022083,0.001512041,0.00041646714,0.0017564304,0.00039483677,0.00055812765,0.0040166904],"category_scores_gemma":[0.007137516,0.00019680991,0.00077551993,0.0023454598,0.0008571212,0.0011704911,0.001067103,0.0011698066,0.00045075986],"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":[0.0009103549,0.00036132525,0.79891634,0.0022976517,0.0017195665,0.0015412787,0.0011333786,0.02110969,0.00054708985,0.06086748,0.004032857,0.10656303],"study_design_scores_gemma":[0.00012841389,0.00037274134,0.8284324,0.0037713747,0.0022087607,0.00054392195,0.009934486,0.058814265,0.0012838016,0.07241405,0.022009125,0.000086668806],"about_ca_topic_score_codex":0.015506014,"about_ca_topic_score_gemma":0.012244499,"teacher_disagreement_score":0.015506014,"about_ca_system_score_codex":0.000852667,"about_ca_system_score_gemma":0.0010194106,"threshold_uncertainty_score":0.030831575},"labels":[],"label_agreement":null},{"id":"W4416766342","doi":"10.1111/opec.70000","title":"From Regulation to Results: Examining the Nexus of <scp>GDP</scp> , Energy Use, and Ozone‐Depleting Substances Emissions Post‐Montreal Protocol","year":2025,"lang":"en","type":"article","venue":"OPEC Energy Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"Nexus (standard); Enforcement; Kyoto Protocol; Investment (military); Latin Americans; Energy (signal processing); Protocol (science); Panel data","score_opus":0.033715234204248344,"score_gpt":0.24138759372497115,"score_spread":0.2076723595207228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416766342","genre_codex":"review","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":[0.22775525,0.43707922,0.007141572,0.113811664,0.0012338257,0.00022562324,0.0070478157,0.00016046682,0.20554459],"genre_scores_gemma":[0.77373755,0.20042035,0.0018564033,0.0038076248,0.00039495333,0.0001340634,0.0022040855,0.00005314007,0.017391918],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979533,0.0007696625,0.00009373463,0.0001464274,0.00078716606,0.0002497024],"domain_scores_gemma":[0.9938014,0.002036902,0.0010513137,0.00014116574,0.0028367774,0.00013244548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038159206,0.00020145006,0.00019095386,0.0014749554,0.00037259722,0.0018814561,0.00066670676,0.00050244376,0.005068672],"category_scores_gemma":[0.010237299,0.0001324772,0.00036617374,0.0040549925,0.0009271791,0.0010151481,0.00055181526,0.0010231765,0.00048567564],"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":[0.00022585796,0.00014667056,0.16191478,0.0052719433,0.00076838734,0.0005301465,0.0020367433,0.006717536,0.0010723624,0.22103275,0.1304186,0.46986422],"study_design_scores_gemma":[0.000029152543,0.0001295144,0.53170514,0.0043524513,0.00036457312,0.00009827514,0.0033053476,0.0024169667,0.0017431518,0.011262514,0.44452748,0.00006539011],"about_ca_topic_score_codex":0.30525663,"about_ca_topic_score_gemma":0.30367467,"teacher_disagreement_score":0.30525663,"about_ca_system_score_codex":0.005305447,"about_ca_system_score_gemma":0.01074075,"threshold_uncertainty_score":0.6069597},"labels":[],"label_agreement":null}]}