{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":112,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":112,"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":"d428b5de870c","filters":{"venue":"Energy Studies Review"}},"results":[{"id":"W1531629538","doi":"10.15173/esr.v13i1.467","title":"Markets for Financial Transmission Rights","year":2004,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Transmission (telecommunications); Business; Finance; Financial market; Hedge; Computer science; Telecommunications","authors":[{"name":"Tarjei Kristiansen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01185734983811305,"gpt":0.2447522632273592,"spread":0.2328949133892461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268688,0.0001377183,0.0003240042,0.00003162121,0.00008402796,0.000004231259,0.00007649285,0.00003878577,0.00001182771],"category_scores_gemma":[0.00004453479,0.0001090386,0.00008978914,0.0002042718,0.000009847433,0.00005743717,0.000007023432,0.00003431013,0.00000522702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069438,"about_ca_system_score_gemma":0.00001517867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003735747,"about_ca_topic_score_gemma":0.00001256759,"domain_scores_codex":[0.9993285,0.00001809262,0.0002554774,0.0001307064,0.0000883188,0.0001789338],"domain_scores_gemma":[0.9997221,0.00003766494,0.00002897527,0.0001202283,0.00005659345,0.00003440974],"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":[0.0000261457,0.0000795565,0.000002351424,0.02156171,0.0005631588,0.00002227748,0.000377354,0.03723789,0.0001281623,0.03377071,0.2465618,0.6596689],"study_design_scores_gemma":[0.0003383399,0.00002961108,0.000009213122,0.002554394,0.00006063511,0.00000533343,0.000001016387,0.0004658656,0.0007103122,0.001182121,0.9944703,0.0001728769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002480314,0.7510223,0.2440347,0.0002582207,0.0003959845,0.0002518953,0.00000202708,0.0001715566,0.003838464],"genre_scores_gemma":[0.02873933,0.9591231,0.00994863,0.0005543514,0.0002480053,0.0005559913,0.00002288165,0.00005033183,0.0007573499],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7479085,"threshold_uncertainty_score":0.4446465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W441340","doi":"10.15173/esr.v14i2.494","title":"The Economics of Energy Storage in 14 Deregulated Power Markets","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Investment (military); Energy storage; Revenue; Economics; Business; Microeconomics; Monetary economics; Power (physics); Finance","authors":[{"name":"F. Cristina Figueiredo","is_ca":false},{"name":"Peter C. Flynn","is_ca":true},{"name":"Edgar A. Cabral","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008632538506956585,"gpt":0.2055820965809417,"spread":0.1969495580739851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115449,0.0002217141,0.00048301,0.00006909826,0.00005731858,0.000009497294,0.0002307425,0.00003986172,0.00003241566],"category_scores_gemma":[0.00003162868,0.0001692524,0.0001070293,0.0002707445,0.00007196936,0.00005786139,0.0001262513,0.00005573053,0.000003443841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155031,"about_ca_system_score_gemma":0.000008140623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008855114,"about_ca_topic_score_gemma":0.001481466,"domain_scores_codex":[0.9987749,0.0000774401,0.0005764354,0.0001839206,0.0001013803,0.0002858516],"domain_scores_gemma":[0.9992861,0.0001360403,0.00008865062,0.0004204502,0.00004514534,0.0000235706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002163657,0.00007938752,0.0003320155,0.001843449,0.001144298,0.00003285727,0.00004561802,0.5320156,0.00002200197,0.1426263,0.2596632,0.06217368],"study_design_scores_gemma":[0.0001976562,0.00001346552,0.002456419,0.0005698806,0.00003948956,0.000001818937,0.00002275897,0.001932243,0.0001463457,0.0005049264,0.993898,0.0002169552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007468364,0.942372,0.0003610524,0.000432045,0.001052747,0.0001047147,0.000003200278,0.0001197375,0.04808616],"genre_scores_gemma":[0.3313993,0.6664724,0.00007496515,0.000236723,0.00007634194,0.0001028776,0.00001033402,0.00004275841,0.001584316],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7342348,"threshold_uncertainty_score":0.6901911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1487759801","doi":"10.15173/esr.v13i1.466","title":"Longterm Contracts and Take-or-Pay Clauses in Natural Gas Markets","year":2004,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Duration (music); Term (time); Position (finance); Economics; Natural (archaeology); Natural experiment; Microeconomics; Finance; Management","authors":[{"name":"Anna Cretì","is_ca":false},{"name":"Bertrand Villeneuve","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04328837493137221,"gpt":0.2577460800318907,"spread":0.2144577051005185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000631516,0.0002125171,0.001242481,0.0001059657,0.0001066267,0.00004141009,0.0001644205,0.00007389536,0.00008577837],"category_scores_gemma":[0.0003638439,0.0001955603,0.0001171292,0.0001766352,0.0001739472,0.0002353061,0.00009807094,0.0001282536,0.00008007496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179586,"about_ca_system_score_gemma":0.0000247597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008456553,"about_ca_topic_score_gemma":0.003591346,"domain_scores_codex":[0.998067,0.000033117,0.001028833,0.0004788187,0.00003058851,0.0003616225],"domain_scores_gemma":[0.9990879,0.0001124012,0.0004218188,0.0002680314,0.00003110055,0.00007873932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001298934,0.0002788086,0.03561718,0.004078434,0.00110782,0.0002410071,0.001407977,0.00004080692,0.000003110802,0.8620445,0.01491008,0.08014037],"study_design_scores_gemma":[0.002037521,0.0001042661,0.0273158,0.003057761,0.00003624713,0.00005192871,0.0001768779,0.00001913175,0.00001646958,0.04838679,0.918009,0.0007882147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0270917,0.9470728,0.00001951272,0.003109357,0.001306239,0.0002943371,0.0000267525,0.00003300474,0.02104628],"genre_scores_gemma":[0.4977763,0.4993601,0.00004281947,0.002061017,0.0001723701,0.00004781477,0.000004518444,0.00001646761,0.0005186366],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9030989,"threshold_uncertainty_score":0.7974716,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W306064770","doi":"10.15173/esr.v9i1.407","title":"The Kyoto Protocol, Inter-Provincial Cooperation, and Energy Trading: A Systems Analysis with integrated MARKAL Models","year":2000,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"McGill University; Group for Research in Decision Analysis","funders":"U.S. Department of Energy","keywords":"Kyoto Protocol; Greenhouse gas; Electricity; Emissions trading; Protocol (science); Order (exchange); Energy exchange; Environmental economics; Electricity system; Business; Natural resource economics; Economics; Environmental resource management; Electricity generation; Finance; Engineering; Ecology; Power (physics)","authors":[{"name":"Richard Loulou","is_ca":true},{"name":"Amit Kanudia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09338729018423461,"gpt":0.2779971466011683,"spread":0.1846098564169336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005044694,0.0002515166,0.0009146959,0.0001149228,0.0003706147,0.0001510158,0.0001960017,0.00005461478,0.0002014707],"category_scores_gemma":[0.00004347898,0.0001730396,0.0001307256,0.0005418402,0.0001438932,0.0002176854,0.00005366449,0.00007880857,0.00001331709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380668,"about_ca_system_score_gemma":0.00001958654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188031,"about_ca_topic_score_gemma":0.004318189,"domain_scores_codex":[0.998361,0.00005533198,0.0008315349,0.0004275411,0.00003022708,0.0002943502],"domain_scores_gemma":[0.999137,0.00008744781,0.0002980986,0.0003375334,0.00006865507,0.00007130898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002254897,0.0001286254,0.001128035,0.001517749,0.005337498,0.000009802196,0.001024463,0.002275233,3.078e-7,0.8734691,0.02295228,0.09193143],"study_design_scores_gemma":[0.000341803,0.0001031619,0.00003038119,0.0003065165,0.0001463837,0.000008647754,0.0001489696,0.03774349,0.000001191283,0.001589014,0.9592786,0.0003017748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004080107,0.8355453,0.008998101,0.007904323,0.0005310417,0.0165892,0.0006571617,0.0002234356,0.1254713],"genre_scores_gemma":[0.1021761,0.7986019,0.0001481694,0.003382568,0.0004263552,0.07976829,0.00009954179,0.00008047112,0.01531656],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9363264,"threshold_uncertainty_score":0.7056351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119910455","doi":"10.15173/esr.v24i1.4088","title":"On the (un)successful deployment of renewable energies: territorial context matters. A conceptual framework and an empirical analysis of biogas projects","year":2020,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Biogas; Conceptual framework; Context (archaeology); Renewable energy; Subsidy; Business; Environmental economics; Government (linguistics); Empirical research; Biogas production; Anaerobic digestion; Software deployment; Outcome (game theory); Investment (military); Process (computing); Marketing; Economics; Engineering; Political science; Sociology; Computer science; Waste management; Ecology; Microeconomics; Social science","authors":[{"name":"Sébastien Bourdin","is_ca":false},{"name":"F. Raulin","is_ca":false},{"name":"Clement JOSSET","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0751621563665511,"gpt":0.3690811169964254,"spread":0.2939189606298743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005990079,0.0002473257,0.001225961,0.0000852333,0.0003723301,0.00002849879,0.0005119594,0.0001222757,0.0002728251],"category_scores_gemma":[0.00173486,0.0001714229,0.0002881407,0.001927717,0.001222024,0.0001436107,0.000180014,0.0001092759,8.747325e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008506655,"about_ca_system_score_gemma":0.0001384368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078889,"about_ca_topic_score_gemma":0.01078459,"domain_scores_codex":[0.9970091,0.0008924639,0.0006037421,0.0004540846,0.000715565,0.0003250298],"domain_scores_gemma":[0.9975446,0.001232757,0.0004953725,0.0003192163,0.000258437,0.0001496595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003162568,0.0005904192,0.008449777,0.0009489253,0.01385687,0.0000224356,0.1407701,0.001911765,0.0001900077,0.5901701,0.1541954,0.08857792],"study_design_scores_gemma":[0.0007728089,0.001007839,0.0002944496,0.002203452,0.003841096,3.096629e-7,0.2109819,0.00008980363,0.002044305,0.004293805,0.7736673,0.0008029365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3341778,0.5568691,0.0006599692,0.1002003,0.002151069,0.001304948,0.00009037127,0.0002525051,0.004293875],"genre_scores_gemma":[0.794261,0.1881865,0.0004041562,0.0160265,0.0008592927,0.0001496772,0.000007892987,0.0000236563,0.00008134387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6194719,"threshold_uncertainty_score":0.9957983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1538111821","doi":"10.15173/esr.v14i2.499","title":"Renewable energy financing - what can we learn from experience in developing countries?","year":2008,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Renewable energy; Developing country; Incentive; Hydropower; Scale (ratio); Business; Natural resource economics; Small hydro; Feed-in tariff; Economics; Rural area; Fossil fuel; Finance; Economic growth; Environmental economics; Energy policy; Political science; Engineering; Market economy; Geography","authors":[{"name":"Jyoti Prasad Painuly","is_ca":false},{"name":"Norbert Wohlgemuth","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04889019182188305,"gpt":0.2689290459220022,"spread":0.2200388541001191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001712817,0.0003135067,0.0005703205,0.00003379467,0.0003601527,0.00002124543,0.0003135443,0.00007264734,0.0008895156],"category_scores_gemma":[0.00009179589,0.000271208,0.00007445958,0.0004230575,0.0003478276,0.0006536835,0.0004184333,0.00008864378,0.00006335666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005709383,"about_ca_system_score_gemma":0.00003118584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381176,"about_ca_topic_score_gemma":0.01676531,"domain_scores_codex":[0.9979258,0.0001278099,0.0004724455,0.0005458054,0.0003893831,0.0005388165],"domain_scores_gemma":[0.9991979,0.0001291869,0.0001579867,0.0004024393,0.000007257256,0.0001052166],"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":[0.0001183946,0.0005403608,0.07223395,0.001348916,0.0006088983,0.002242838,0.04010763,0.2346598,0.0008768227,0.004682899,0.2276532,0.4149263],"study_design_scores_gemma":[0.0001835837,0.00002460957,0.004697332,0.00233806,0.00001445861,0.00001531748,0.00039756,0.00001956636,0.001322234,0.0002875344,0.990301,0.000398812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0890155,0.8966184,0.0005806469,0.006313858,0.0005534331,0.0001227774,0.000003841744,0.00008159116,0.006709916],"genre_scores_gemma":[0.1103466,0.8745394,0.0006243007,0.01061007,0.0000502017,0.0001013394,0.00001136215,0.00002132993,0.00369538],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7626477,"threshold_uncertainty_score":0.999974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W46090232","doi":"10.15173/esr.v15i1.505","title":"Alternative Tax Instruments for CO2 Emission Reduction and Effects of Revenue Recycling Schemes","year":2007,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Carbon tax; Computable general equilibrium; Economics; Revenue; Tax reform; Tax revenue; Value-added tax; Ad valorem tax; Indirect tax; Substitution effect; Tax credit; Greenhouse gas; Natural resource economics; Microeconomics; Monetary economics; Public economics; Finance","authors":[{"name":"Govinda R. Timilsina","is_ca":false},{"name":"Ram M. Shrestha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0491666489874916,"gpt":0.2969547936931857,"spread":0.2477881447056941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314693,0.0001082475,0.0005153599,0.00006928882,0.00008100486,0.000004410565,0.00006654898,0.00003988716,0.000002859044],"category_scores_gemma":[0.0004428762,0.0001084425,0.0000815317,0.00008592066,0.00006088264,0.00009581696,0.00005464928,0.00004485021,0.000003062403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005681619,"about_ca_system_score_gemma":0.000003408248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006420042,"about_ca_topic_score_gemma":0.000005260228,"domain_scores_codex":[0.9990485,0.00001062698,0.00053353,0.0002327511,0.0000154998,0.0001591351],"domain_scores_gemma":[0.9992873,0.0001045907,0.0004248678,0.0001193034,0.00002446181,0.00003944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001070566,0.0001796926,0.006674683,0.02264696,0.001356267,0.00000296778,0.001216009,0.000005734665,0.0004186817,0.4772059,0.03089101,0.459295],"study_design_scores_gemma":[0.001402044,0.0002911469,0.001833179,0.005670968,0.00008051715,0.000008571806,0.0001061646,0.0001072467,0.02041404,0.2330678,0.7365338,0.0004845574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2281581,0.7616458,0.00152669,0.001009892,0.001222831,0.0005112631,0.00007119042,0.00001592021,0.005838333],"genre_scores_gemma":[0.7020549,0.2951198,0.0009495383,0.0005464075,0.0002967912,0.00006704459,0.000008411812,0.00001850675,0.0009386103],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7056428,"threshold_uncertainty_score":0.4422156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W240635304","doi":"10.15173/esr.v14i1.479","title":"Energy Indicators to Assess Sustainable Development at the National Level: Acting on the Johannesburg Plan of Implementation","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Sustainable development; Energy (signal processing); Environmental economics; Sustainable energy; Environmental planning; Environmental resource management; Business; Environmental science; Geography; Economics; Political science; Statistics; Engineering; Renewable energy; Mathematics","authors":[{"name":"Ivan Vera","is_ca":false},{"name":"Kathleen L. Abdalla","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0665854771943568,"gpt":0.318499129337961,"spread":0.2519136521436042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008329647,0.0002217394,0.0002480424,0.00006643977,0.0007197294,0.00001608784,0.0003236496,0.00002773737,0.001106016],"category_scores_gemma":[0.0000835028,0.0001292578,0.0000652082,0.0006539418,0.000147014,0.0001024787,0.0007238758,0.0000574072,0.00005438219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322857,"about_ca_system_score_gemma":0.0000423281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009228816,"about_ca_topic_score_gemma":0.0007188106,"domain_scores_codex":[0.9979513,0.0001332192,0.0004684982,0.0002950652,0.0007290188,0.0004228435],"domain_scores_gemma":[0.9992793,0.0002253471,0.0002500014,0.0001733025,0.00002468608,0.00004731339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000386698,0.0001801496,0.01390077,0.000484133,0.000425418,0.00001793865,0.002471755,0.00275275,0.0003012656,0.03313077,0.7522274,0.194069],"study_design_scores_gemma":[0.000121181,0.00002776915,0.03219659,0.0001050241,0.00002403381,0.000002103523,0.00347122,0.000001895235,0.008086255,0.0004527351,0.9553034,0.0002078076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.675151,0.05048151,0.0008502096,0.04073989,0.0005746585,0.003175983,0.000049958,0.0001724954,0.2288043],"genre_scores_gemma":[0.9580271,0.006869423,0.0002307545,0.01020851,0.000107758,0.0007361703,0.00005939113,0.0000335999,0.02372732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2828761,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125484123","doi":"10.15173/esr.v17i1.518","title":"Modelling Spot Prices in Deregulated Wholesale Electricity Markets: A Selected Empirical Review","year":2011,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Electricity; Restructuring; Deregulation; Volatility (finance); Electricity market; Spot contract; Economics; Industrial organization; Electricity retailing; Business; Financial economics; Microeconomics; Macroeconomics; Finance; Futures contract","authors":[{"name":"Andrew C. Worthington","is_ca":false},{"name":"Helen Higgs","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05216892007799506,"gpt":0.2693709676224029,"spread":0.2172020475444078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005876665,0.0003595241,0.001061772,0.0001613711,0.00005967385,0.000008231417,0.0002508635,0.00009250073,0.00007003541],"category_scores_gemma":[0.0001842711,0.000317237,0.0001074829,0.002975124,0.00002467719,0.0001678976,0.00004973834,0.0002091012,0.00001869417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713123,"about_ca_system_score_gemma":0.00004273214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003902056,"about_ca_topic_score_gemma":0.00004329846,"domain_scores_codex":[0.997804,0.0001666832,0.000910057,0.0003740388,0.0002473464,0.0004978114],"domain_scores_gemma":[0.9990864,0.00008889812,0.0001493908,0.0003575983,0.0002414972,0.00007617267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001217431,0.000969079,0.002598736,0.2893839,0.004859254,0.0003843435,0.00266487,0.1262098,0.0001119018,0.001672215,0.3440445,0.2269797],"study_design_scores_gemma":[0.001537163,0.0002625003,0.001583058,0.1698474,0.001423859,0.0002099677,0.00004655661,0.5219584,0.001466771,0.0003685567,0.2979104,0.003385341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005543637,0.9663693,0.02745826,0.0001146265,0.0001215299,0.0004755157,0.000001148082,0.0003710461,0.004534228],"genre_scores_gemma":[0.02536665,0.9709985,0.002578448,0.0005956267,0.00003150476,0.0002359853,0.00001576151,0.00005784709,0.0001196799],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3957486,"threshold_uncertainty_score":0.999928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407195615","doi":"10.15173/esr.v26i1.4906","title":"Examining the Foreign direct investment, Renewable energy consumption, and economic growth nexus in MENA countries: A bootstrap ARDL evidence","year":2025,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Nexus (standard); Economics; Foreign direct investment; Consumption (sociology); Macroeconomics; Energy consumption; Investment (military); Renewable energy; International economics; Development economics; Political science; Politics","authors":[{"name":"Tarek Ghazouani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08973340614407042,"gpt":0.273337877572095,"spread":0.1836044714280246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001514252,0.0004271558,0.001293412,0.0002614416,0.000275724,0.00008352579,0.0004474355,0.000101882,0.000230732],"category_scores_gemma":[0.0003847404,0.0003980021,0.0001282693,0.0002500725,0.0004289599,0.0004188111,0.0003740685,0.0001303097,0.00005257615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118006,"about_ca_system_score_gemma":0.00005863209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004267234,"about_ca_topic_score_gemma":0.003301191,"domain_scores_codex":[0.9969058,0.0001397851,0.00141353,0.0009767715,0.00004839513,0.0005157394],"domain_scores_gemma":[0.9977652,0.0007334596,0.0006838968,0.000710119,0.00002177723,0.00008555301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001885539,0.00004618536,0.09306,0.0013809,0.000763227,0.00000850055,0.0002095849,0.00204383,0.000001703668,0.8601262,0.04130824,0.001032748],"study_design_scores_gemma":[0.001018872,0.0001128353,0.01630783,0.004005603,0.0001458944,0.00001128456,0.0003392222,0.0007883125,0.0001115658,0.08531692,0.8909543,0.000887393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002269004,0.8722899,0.0003929401,0.001675491,0.0003805714,0.0002815822,0.00003698067,0.00004361232,0.1226299],"genre_scores_gemma":[0.2395056,0.7479668,0.00008364498,0.007825734,0.00006688042,0.0005528062,0.000009059447,0.00003120254,0.003958219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.849646,"threshold_uncertainty_score":0.9998472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1770350779","doi":"10.15173/esr.v20i2.550","title":"Energy Security and Climate Change Mitigation as Combined Areas of Analysis in Contemporary Research","year":2014,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Scope (computer science); Climate change; Energy security; Perspective (graphical); Environmental resource management; Climate change mitigation; Energy (signal processing); Environmental planning; Environmental science; Computer science; Engineering; Ecology; Renewable energy","authors":[{"name":"Daniel Jönsson","is_ca":false},{"name":"André Månsson","is_ca":false},{"name":"Bengt Johansson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09252626681282128,"gpt":0.3919278665338802,"spread":0.299401599721059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00330181,0.0002503078,0.001216341,0.0004883393,0.0001933645,0.0000189556,0.0002756594,0.0001263681,0.00006736789],"category_scores_gemma":[0.001414203,0.0002131247,0.0002095524,0.002677609,0.000524556,0.000179082,0.0004818313,0.0002098406,0.000004117404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398728,"about_ca_system_score_gemma":0.00006096463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569988,"about_ca_topic_score_gemma":0.01204736,"domain_scores_codex":[0.9952384,0.002217439,0.000749118,0.000558221,0.0006495778,0.0005871978],"domain_scores_gemma":[0.9975415,0.0007312137,0.0001664262,0.0005972196,0.0008108499,0.0001528091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001459287,0.000235906,0.01343628,0.003630011,0.0008244113,0.00003054423,0.0006694185,0.00007326098,0.000007045009,0.8888657,0.0006413077,0.0914402],"study_design_scores_gemma":[0.003265234,0.001557814,0.02175638,0.005868504,0.0007146781,0.00001159962,0.004459687,0.004671595,0.0007494438,0.2617882,0.693837,0.001319915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.111112,0.7789219,0.0000189161,0.006751085,0.000130071,0.0004860763,0.0000168944,0.00008605381,0.102477],"genre_scores_gemma":[0.7445032,0.2543762,0.00001118046,0.0005694684,0.00004501401,0.0002605976,0.0000491307,0.00001332021,0.0001718516],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6931956,"threshold_uncertainty_score":0.9908547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1902836177","doi":"10.15173/esr.v21i2.2770","title":"MARKET POWER IN POWER MARKETS: THE CASE OF FRENCH WHOLESALE ELECTRICITY MARKET","year":2015,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Wholesale market; Market power; Electricity market; Market share analysis; Panel data; Electricity; Economics; Power (physics); Factor market; Business; Market share; Market microstructure; Industrial organization; Market economy; Econometrics; Order (exchange); Finance","authors":[{"name":"Sophie Méritet","is_ca":false},{"name":"Thao Pham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01562310761950731,"gpt":0.248708517001621,"spread":0.2330854093821137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163934,0.0002753962,0.0006954714,0.0001273931,0.00004094404,0.00001147981,0.0002524487,0.00007282732,0.0002184933],"category_scores_gemma":[0.0006442674,0.0001980857,0.0001046769,0.001229942,0.00005414894,0.0001188579,0.00008890071,0.0001686838,0.000007348333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481551,"about_ca_system_score_gemma":0.00004419201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039904,"about_ca_topic_score_gemma":0.0002629828,"domain_scores_codex":[0.998036,0.0004388514,0.0006954589,0.0002411186,0.0002250868,0.0003634781],"domain_scores_gemma":[0.9987596,0.000298416,0.0001416732,0.0005148875,0.0002123539,0.00007306943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001449779,0.00005634907,0.0003415811,0.0014098,0.0003545724,0.0003162332,0.000373585,0.0006806799,0.000004270011,0.0003069037,0.9859807,0.01016075],"study_design_scores_gemma":[0.001484621,0.0002446778,0.002174139,0.005533863,0.000296831,0.001356358,0.0006262423,0.0133191,0.0001659856,0.0003218242,0.9732826,0.001193799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001510069,0.8627218,0.001163152,0.0003194509,0.0005189618,0.0003848266,0.00000876075,0.000105919,0.1332671],"genre_scores_gemma":[0.6933272,0.3025336,0.0003611865,0.0004341031,0.00004699328,0.0001734714,0.000004611089,0.00006774084,0.003051006],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6918172,"threshold_uncertainty_score":0.8077702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2599394708","doi":"10.15173/esr.v19i2.539","title":"The Role of Energy Commodities in Middle East Stock Market Integration","year":2013,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Market integration; Economics; Diversification (marketing strategy); Market liquidity; Capital asset pricing model; Stock market; Financial economics; Portfolio; Stock (firearms); Capital market; Business; Monetary economics; Econometrics; Finance; Macroeconomics; Geography","authors":[{"name":"Muath Asmar","is_ca":false},{"name":"Rayenda Khresna Brahmana","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04667385818960522,"gpt":0.232147967620328,"spread":0.1854741094307228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467613,0.0001377137,0.0005547316,0.00005785538,0.0001007525,0.00002193817,0.000212029,0.00003769914,0.0003547859],"category_scores_gemma":[0.0002417969,0.0001038657,0.0001160299,0.0002040929,0.0001044554,0.000113693,0.0001121499,0.00006947733,0.000006728222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006797559,"about_ca_system_score_gemma":0.000008601712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528265,"about_ca_topic_score_gemma":0.002397812,"domain_scores_codex":[0.9987394,0.000076365,0.0007604707,0.0002025612,0.00003810446,0.0001830746],"domain_scores_gemma":[0.9990498,0.0001476164,0.0003500213,0.0003459013,0.00008033964,0.00002632921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008837853,0.00008592883,0.02136525,0.0005359424,0.0001749014,3.491318e-7,0.0002485075,0.000003491016,0.00000114561,0.7289943,0.01488772,0.2336936],"study_design_scores_gemma":[0.0001775972,0.00004711604,0.01350594,0.0006851653,0.00001136096,8.438038e-7,0.0006176315,0.02361057,0.0000050446,0.1497327,0.8113558,0.0002502861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00392166,0.8684958,0.0002644924,0.001135093,0.0002219729,0.0001701216,0.0000363896,0.0000111811,0.1257433],"genre_scores_gemma":[0.5914136,0.4050409,0.00006789959,0.0003090199,0.00003116844,0.0002325516,0.00001037297,0.00001067707,0.002883872],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.796468,"threshold_uncertainty_score":0.423552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2601409606","doi":"10.15173/esr.v20i3.556","title":"Regulation as determinant of EUA prices","year":2014,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"European commission; Phase (matter); European union; Commission; Emissions trading; Economics; Natural resource economics; International economics; Public economics; Business; Environmental economics; Finance; Climate change; Ecology; Chemistry","authors":[{"name":"María Mansanet-Bataller","is_ca":false},{"name":"María Eugenia Sanin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1314557263956776,"gpt":0.3081877963160622,"spread":0.1767320699203846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004712972,0.0001159376,0.0006581419,0.00007083193,0.00005982441,0.000007133385,0.0001262921,0.0000356395,0.0002577095],"category_scores_gemma":[0.000296337,0.0001141221,0.0001208436,0.0001199389,0.00005530937,0.00009481462,0.00008196688,0.00002964684,0.0002013903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004226268,"about_ca_system_score_gemma":0.000003501443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000150399,"about_ca_topic_score_gemma":0.00007838676,"domain_scores_codex":[0.9989383,0.00001342506,0.000649124,0.0002207674,0.000017099,0.0001612982],"domain_scores_gemma":[0.9990471,0.00008316956,0.0005325334,0.0002753398,0.00002997199,0.00003190928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004325314,0.00003512495,0.001426526,0.002291518,0.0001260721,4.21254e-7,0.0003218466,0.00001428341,0.00000504097,0.9444579,0.005039657,0.04627732],"study_design_scores_gemma":[0.0001463021,0.00006345903,0.002241608,0.0005743164,0.00002108483,0.000003375625,0.00003321679,0.0002178392,0.0001196235,0.04182953,0.954556,0.000193598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01808597,0.8508032,0.0005348478,0.002952064,0.0006352034,0.0001767786,0.00003859394,0.00003544777,0.1267379],"genre_scores_gemma":[0.2404461,0.7552831,0.0003569353,0.002255917,0.0001862985,0.00005232111,0.00001306341,0.00001890042,0.001387376],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9495164,"threshold_uncertainty_score":0.4653766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W148531549","doi":"10.15173/esr.v14i1.484","title":"Adapting for Uncertainty: A Scenario Analysis of U.S. Technology Energy Futures","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Futures contract; Computable general equilibrium; Scenario analysis; Range (aeronautics); Modular design; Energy (signal processing); Energy modeling; Energy sector; Environmental economics; Key (lock); Scenario planning; Economics; Energy supply; Computer science; Operations research; Risk analysis (engineering); Microeconomics; Business; Financial economics; Engineering; Finance; Management","authors":[{"name":"John Laitner","is_ca":false},{"name":"D.A. Hanson","is_ca":false},{"name":"Irving M. Mintzer","is_ca":false},{"name":"J. Amber Leonard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02613935915831178,"gpt":0.3265613751267131,"spread":0.3004220159684013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006051962,0.0003457205,0.001592074,0.000620675,0.000320401,0.00001319243,0.0004591922,0.0001842549,0.0001106655],"category_scores_gemma":[0.0008751479,0.0002764363,0.0007392848,0.003796235,0.0003756693,0.00006643542,0.000272515,0.0001139935,9.740709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660589,"about_ca_system_score_gemma":0.0001117527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01343579,"about_ca_topic_score_gemma":0.04962752,"domain_scores_codex":[0.9972126,0.0001961424,0.0009217142,0.0005984457,0.00038194,0.0006890918],"domain_scores_gemma":[0.9975039,0.0003761596,0.0003033572,0.0007097714,0.001040958,0.00006589187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004061965,0.0001024049,0.0001985817,0.001095089,0.002798235,0.000009357576,0.00002417062,0.04347862,0.00002766335,0.7089553,0.003323041,0.2399469],"study_design_scores_gemma":[0.0003317881,0.0001299634,0.0001043846,0.0003937749,0.001379334,0.000002898381,0.0007921986,0.001864503,0.0002192746,0.02724586,0.96721,0.000326023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003225379,0.9752188,0.001742295,0.0040981,0.0001997447,0.0002648182,0.00003958561,0.0002124485,0.01499884],"genre_scores_gemma":[0.7827802,0.2038346,0.001515656,0.001445328,0.0003248616,0.001031872,0.0002321564,0.00006210483,0.008773138],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.963887,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W60022766","doi":"10.15173/esr.v11i2.445","title":"Options, Costs and Strategies for CO2 Reductions in the European Power Sector","year":2003,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Environmental economics; Flexibility (engineering); Incentive; Business; Capital cost; Renewable energy; Coal; Fossil fuel; Natural resource economics; Economics; Waste management; Engineering; Microeconomics","authors":[{"name":"Patrik Söderholm","is_ca":false},{"name":"Lars Strömberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.175786734742352,"gpt":0.3143302969118709,"spread":0.1385435621695189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027606,0.0001081246,0.0003249009,0.00005708995,0.0001476438,0.00004120738,0.00008979329,0.00001873454,0.00006748768],"category_scores_gemma":[0.0001810364,0.00009215795,0.00006758097,0.0001253058,0.00006491927,0.0001099007,0.00002484079,0.00005034969,0.00002850168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005628147,"about_ca_system_score_gemma":0.000006506537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005522286,"about_ca_topic_score_gemma":0.0002548839,"domain_scores_codex":[0.999159,0.0000701543,0.0003828945,0.0002075842,0.000009518983,0.0001708144],"domain_scores_gemma":[0.9995366,0.0001021199,0.0001352483,0.0001875224,0.00001702003,0.00002144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.720266e-7,0.00002300691,0.0001478422,0.0001964205,0.00004314689,6.16873e-7,0.0005028202,0.000007468323,2.779813e-7,0.9850708,0.01327303,0.0007337526],"study_design_scores_gemma":[0.0001794661,0.00002859783,0.0006464104,0.000147897,0.00001137474,0.00000991199,0.002122092,0.000004939967,8.003771e-7,0.02739049,0.9693182,0.0001398259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004897999,0.8481055,0.0001304908,0.003992343,0.0003693801,0.000274418,0.0001209662,0.00001456659,0.1420944],"genre_scores_gemma":[0.1549733,0.8411769,0.000253201,0.00281588,0.00009852749,0.0002099131,0.00001284157,0.00001854162,0.0004409164],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9576802,"threshold_uncertainty_score":0.3758092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W194555144","doi":"10.15173/esr.v9i2.416","title":"Can Urban Form Affect Transportation Energy Use and Emissions?","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Status quo; Energy consumption; Consumption (sociology); Distribution (mathematics); Affect (linguistics); Land use; Environmental economics; Economic geography; Transport engineering; Natural resource economics; Geography; Environmental science; Regional science; Economics; Civil engineering; Mathematics; Engineering; Sociology","authors":[{"name":"Pavlos Kanaroglou","is_ca":true},{"name":"Robert B. South","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06238896102342643,"gpt":0.3424495901318307,"spread":0.2800606291084042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033361,0.0001613012,0.0004022302,0.0000315318,0.0005460077,0.00003107854,0.0001241903,0.00005582151,0.0001217919],"category_scores_gemma":[0.0001324194,0.0001247691,0.0001126451,0.000374409,0.0002314123,0.0003204134,0.000009311033,0.00005618388,7.972227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000604602,"about_ca_system_score_gemma":0.00005511822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006660146,"about_ca_topic_score_gemma":0.07649074,"domain_scores_codex":[0.9987485,0.0001221654,0.0003088246,0.0002963356,0.0002443421,0.0002798696],"domain_scores_gemma":[0.9993256,0.0001401289,0.000108299,0.0001721347,0.0001119895,0.0001418354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003197425,0.000169482,0.6162667,0.001291495,0.0003356829,0.00008230012,0.009109608,0.000001476284,0.00002134119,0.04640565,0.04458923,0.2816951],"study_design_scores_gemma":[0.0001357773,0.00002424707,0.06266615,0.0007433397,0.0001343489,3.80663e-7,0.0004206822,9.464236e-7,0.00001958425,0.00108645,0.9345648,0.0002033014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1544966,0.8308883,0.0001526407,0.007174429,0.0003646223,0.0002844126,0.00002182184,0.0001770911,0.006440081],"genre_scores_gemma":[0.5462862,0.449857,0.00003515476,0.0009858937,0.0001033268,0.0000398175,0.00002117688,0.000007211641,0.002664187],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8899755,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W122619009","doi":"10.15173/esr.v14i1.485","title":"The Dynamics of Risk Premiums in Nord Pool's Futures Market","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Normal backwardation; Convenience yield; Futures contract; Spot contract; Arbitrage; Economics; Contango; Yield (engineering); Financial economics; Commodity; Risk premium; Microeconomics; Finance","authors":[{"name":"Erling Mork","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01685104912514906,"gpt":0.233674395366056,"spread":0.2168233462409069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720521,0.0001283773,0.0005965824,0.0000787051,0.0001254309,0.00001285172,0.0001778417,0.00003329435,0.00007969627],"category_scores_gemma":[0.000151479,0.00008973978,0.0002237051,0.0003854402,0.000102728,0.00005024582,0.00008043735,0.00007072632,0.00001315198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008346125,"about_ca_system_score_gemma":0.000004716041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180403,"about_ca_topic_score_gemma":0.01655211,"domain_scores_codex":[0.998813,0.00004051425,0.0007297567,0.0002070015,0.0000370194,0.0001726968],"domain_scores_gemma":[0.9990469,0.0001606768,0.000461479,0.0002830675,0.00003203269,0.00001587593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004975405,0.000047643,0.01711335,0.0002185347,0.0002211844,0.000001552368,0.00005599768,0.00007561217,6.049049e-8,0.9365718,0.0309875,0.01470174],"study_design_scores_gemma":[0.0003803086,0.00004283687,0.0740614,0.0005147125,0.0001605538,0.000001211686,0.000387696,0.003658506,0.000007746841,0.1797419,0.7406194,0.0004237504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005999686,0.9759375,0.00002650069,0.0008830904,0.0001801631,0.0000734688,0.000048978,0.000007531907,0.01684306],"genre_scores_gemma":[0.08623144,0.908678,0.00005453025,0.0001650157,0.00007321773,0.00003264524,0.00001516946,0.000009044429,0.004740951],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7568299,"threshold_uncertainty_score":0.9236466,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W155546117","doi":"10.15173/esr.v11i2.444","title":"The Voluntary Approach to GHG Reduction: A Case Study of BC Hydro","year":2003,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Greenhouse gas; Turnover; Electricity; Hindsight bias; Government (linguistics); Business; Baseline (sea); Natural resource economics; Economics; Engineering; Political science","authors":[{"name":"Rose Murphy","is_ca":true},{"name":"Mark Jaccard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07084853497500215,"gpt":0.2966311363197387,"spread":0.2257826013447365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004150766,0.0001762579,0.0004260888,0.0000534864,0.0006311205,0.00003469251,0.0001471837,0.00001242339,0.00001925626],"category_scores_gemma":[0.0001442228,0.0001102269,0.00009057357,0.0007547722,0.00007591916,0.0001572663,0.0001684735,0.00004878439,0.00002153103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002207503,"about_ca_system_score_gemma":0.00000694908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005147142,"about_ca_topic_score_gemma":0.0002768905,"domain_scores_codex":[0.9988666,0.00004970373,0.0004164657,0.0002627092,0.0002229742,0.0001815128],"domain_scores_gemma":[0.999117,0.00003527433,0.0002023838,0.0003698273,0.0002661358,0.000009373523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004277316,0.001614475,0.0039024,0.005500282,0.00253961,0.0001631159,0.002186582,0.001012369,0.000005119394,0.1555161,0.5863971,0.2411201],"study_design_scores_gemma":[0.0002314631,0.00002705572,0.0003312976,0.000268859,0.0001938912,0.00007072383,0.02001088,0.00003022751,0.000001518158,0.0003613333,0.9782954,0.0001772856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06687113,0.7229941,0.0002031572,0.004304599,0.001767891,0.001838854,6.901331e-7,0.00015199,0.2018676],"genre_scores_gemma":[0.95252,0.04037078,0.0001555711,0.002145758,0.0005478782,0.0005741715,0.000001749968,0.00002422663,0.00365992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8856488,"threshold_uncertainty_score":0.4854132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W206206682","doi":"10.15173/esr.v10i1.424","title":"The Economic Future of Nuclear Power in Competitive Markets","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Nuclear decommissioning; Nuclear power; Capital cost; Economics; Electricity; Lead (geology); Capital (architecture); Industrial organization; Business; Competitive advantage; Natural resource economics; Environmental economics; Marketing; Engineering; Waste management; Macroeconomics","authors":[{"name":"Hans‐Holger Rogner","is_ca":false},{"name":"Lucille Langlois","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007058591824087065,"gpt":0.2118058493680437,"spread":0.2047472575439567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008427207,0.0001018752,0.000256232,0.00001635299,0.0000275897,0.000004830391,0.000101443,0.00001651241,0.00004604155],"category_scores_gemma":[0.000005634745,0.00007372153,0.0000566735,0.00008814505,0.00002528341,0.00003780833,0.00003796685,0.00006736226,0.00001394751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007760823,"about_ca_system_score_gemma":0.000003254852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006327487,"about_ca_topic_score_gemma":0.00003244255,"domain_scores_codex":[0.9995542,0.00001328856,0.0001848145,0.00007176252,0.00004328838,0.0001326823],"domain_scores_gemma":[0.9997528,0.00004485753,0.00002390445,0.000147085,0.00001328911,0.00001808395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001562798,0.00002757807,0.00009720508,0.001760612,0.000836689,0.00002865216,0.0005366586,0.003446594,0.0001738396,0.6449151,0.05514183,0.2930196],"study_design_scores_gemma":[0.00005430771,0.000006257435,0.000562306,0.0004411497,0.0000075589,0.000002085934,0.0001527678,0.0003371531,0.00000361915,0.00006196968,0.9982901,0.00008077278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007461222,0.8493759,0.000005611053,0.0004671733,0.0008878502,0.0000934074,0.000004147463,0.00008048476,0.1416242],"genre_scores_gemma":[0.3165228,0.6832648,0.00001568453,0.00006347918,0.00006951875,0.000006321695,6.849771e-7,0.00002227221,0.00003446315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9431482,"threshold_uncertainty_score":0.3006276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W70595027","doi":"10.15173/esr.v14i2.496","title":"The Effect of Energy Audits in Danish Industry - Evaluation of a DSM Programme","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Electricity; Audit; Danish; Consumption (sociology); Energy consumption; Energy (signal processing); Environmental economics; Econometrics; Business; Economics; Accounting; Statistics; Engineering","authors":[{"name":"Anders Larsen","is_ca":false},{"name":"Søren Leth‐Petersen","is_ca":false},{"name":"Vibeke Hansen Kjærbye","is_ca":false},{"name":"Olaf Rieper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03520954578727149,"gpt":0.3228848344920718,"spread":0.2876752887048003,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002834526,0.0002460829,0.0006876093,0.00008197349,0.0001085619,0.000007734709,0.0003034332,0.0001087843,0.000025772],"category_scores_gemma":[0.0006036702,0.0001546324,0.000172672,0.0007818321,0.0002005147,0.0000607428,0.0001775141,0.000120753,0.00000132515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290941,"about_ca_system_score_gemma":0.00004431489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074463,"about_ca_topic_score_gemma":0.008424735,"domain_scores_codex":[0.9969175,0.0008927893,0.0008391886,0.0002967211,0.0006951363,0.0003586869],"domain_scores_gemma":[0.9984062,0.0004031739,0.0004448157,0.000476946,0.0002438116,0.00002505192],"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":[0.00002523328,0.0001501151,0.0003745149,0.001440406,0.0003138927,0.000004925746,0.00003896961,0.01568568,0.0000559439,0.24515,0.006927789,0.7298325],"study_design_scores_gemma":[0.001624073,0.0005555118,0.001709236,0.004077051,0.0007716246,0.000003170571,0.0001333696,0.0006937672,0.007668054,0.003157127,0.9792181,0.0003889056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02600596,0.8905694,0.00004950382,0.0007238877,0.0004748566,0.0004657572,0.000002205173,0.00005191881,0.08165651],"genre_scores_gemma":[0.8915024,0.1059,0.00003446472,0.000149089,0.0001033446,0.0008174092,0.00001881642,0.0000230366,0.001451361],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9722903,"threshold_uncertainty_score":0.6305728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W35495929","doi":"10.15173/esr.v14i2.495","title":"The Liberalisation of the Continental European Electricity Market - Lessons Learned","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Liberalization; Competition (biology); Electricity market; Electricity; Margin (machine learning); Economics; Business; Mains electricity; International economics; Market economy; Industrial organization; Natural resource economics; Engineering; Computer science","authors":[{"name":"Reinhard Haas","is_ca":false},{"name":"Hans Auer","is_ca":false},{"name":"Jean‐Michel Glachant","is_ca":false},{"name":"Nenad Keseric","is_ca":false},{"name":"Yannick Pérez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02107143872741608,"gpt":0.2499233349778399,"spread":0.2288518962504238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004825894,0.0001173036,0.0002258145,0.00001685011,0.0001531767,0.0000119232,0.000188315,0.00001562914,0.000007576909],"category_scores_gemma":[0.0001286014,0.00006643742,0.00009148564,0.0004181911,0.00004134576,0.00004206242,0.00004436674,0.0000675421,0.000002728121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006564066,"about_ca_system_score_gemma":0.000007551972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003476641,"about_ca_topic_score_gemma":0.00009015525,"domain_scores_codex":[0.9989058,0.0003291035,0.0003554237,0.00009996716,0.0001521269,0.0001576013],"domain_scores_gemma":[0.9994133,0.0001319742,0.0001244539,0.0002467014,0.00007332053,0.00001024515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008262937,0.00004717998,0.0004219974,0.001772037,0.0005784889,0.000002886959,0.0001355618,0.01118351,0.0005939155,0.02133411,0.7984952,0.1654269],"study_design_scores_gemma":[0.0002573353,0.00002296322,0.004052519,0.00116958,0.0001523219,0.000008914635,0.00001962334,0.004213153,0.001467789,0.0002727135,0.9881176,0.000245463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0005773791,0.8881151,0.00233208,0.003097016,0.0005588767,0.0003036011,0.000004108717,0.0001630634,0.1048488],"genre_scores_gemma":[0.5265031,0.4679357,0.00006063503,0.0001900969,0.000124633,0.00004207404,0.000006993793,0.00003777611,0.005099021],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5259257,"threshold_uncertainty_score":0.2709239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2704279319","doi":"10.15173/esr.v20i1.545","title":"Dynamic Interactions between the Markets of Crude Oil and Fine Wine in Light of the Global Economic Growth","year":2013,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Volatility (finance); Wine; Crude oil; Economics; Multivariate statistics; Econometrics; Financial economics; Monetary economics; Chemistry; Statistics","authors":[{"name":"Elie Bouri","is_ca":false},{"name":"Georges Azzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01931171693259356,"gpt":0.2546214335849432,"spread":0.2353097166523496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004904573,0.000122403,0.0006166772,0.00003422703,0.00005403495,0.000008033067,0.0002274492,0.00002680084,0.0001679108],"category_scores_gemma":[0.0002074131,0.00007984063,0.0001223468,0.0001851422,0.0001128095,0.0000839419,0.0002286997,0.00007517502,0.000004158875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108987,"about_ca_system_score_gemma":0.00001084076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009413896,"about_ca_topic_score_gemma":0.001578642,"domain_scores_codex":[0.9988264,0.00005888617,0.0007637418,0.0002015738,0.00002230983,0.0001271267],"domain_scores_gemma":[0.9989935,0.0001683159,0.0004475849,0.0003315454,0.00003782056,0.00002123243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008518419,0.00007138437,0.866641,0.002026111,0.0005116106,2.750975e-7,0.000100537,0.000004185561,0.00000153852,0.06676036,0.004187657,0.05968683],"study_design_scores_gemma":[0.0002690667,0.00002290005,0.8415635,0.0008073059,0.00004482983,0.000001929932,0.00002740423,0.002170342,0.000003336836,0.02638087,0.1285347,0.0001738606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4015785,0.5077226,0.0000354116,0.02648422,0.000526614,0.000252213,0.0002987861,0.000009279119,0.06309243],"genre_scores_gemma":[0.8212134,0.1776872,0.00004354824,0.0001649163,0.0000241463,0.00004774721,0.000003599364,0.00000659236,0.0008088751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4196349,"threshold_uncertainty_score":0.3255806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W179945670","doi":"10.15173/esr.v12i2.460","title":"The Effects of Location and Non-Location Factors on Gasoline Station Performance","year":2004,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Université de Saint-Boniface; Natural Sciences and Engineering Research Council of Canada; HEC Montréal","funders":"","keywords":"Metropolitan area; Affect (linguistics); Service (business); Set (abstract data type); Business; Econometric model; Econometrics; Marketing; Advertising; Economics; Geography; Computer science; Psychology","authors":[{"name":"Robert M. Gagné","is_ca":true},{"name":"Raphaël Nguimbus","is_ca":true},{"name":"Georges Zaccour","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01852684172815761,"gpt":0.2260723619215342,"spread":0.2075455201933766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005900301,0.00008866198,0.0001551108,0.00001568948,0.0000642843,0.000002766845,0.00003665165,0.00001629367,4.125552e-7],"category_scores_gemma":[0.00006008491,0.0000559418,0.00001545182,0.0001389893,0.00004998232,0.00003443137,0.000004131482,0.0000367562,0.000001214046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003708922,"about_ca_system_score_gemma":0.000006479976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008062538,"about_ca_topic_score_gemma":0.00003230088,"domain_scores_codex":[0.9996029,0.000007883367,0.0001713435,0.00006466578,0.00007714883,0.00007604549],"domain_scores_gemma":[0.9996828,0.0000910115,0.00003727098,0.0001014768,0.00007245856,0.00001502706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005739503,0.0002323811,0.003756745,0.1364971,0.001496487,0.000007731701,0.003822547,0.2284346,0.0008455839,0.07262731,0.005989135,0.5462329],"study_design_scores_gemma":[0.005167614,0.002888202,0.6042883,0.07845416,0.002158442,0.00001020854,0.0006718534,0.01975136,0.08082768,0.002298191,0.2007467,0.002737254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07855225,0.894639,0.02503008,0.0001413622,0.0006175004,0.0003250055,0.000002771238,0.00008153724,0.0006104642],"genre_scores_gemma":[0.582014,0.4178608,0.0000349012,0.00003093994,0.00001453616,0.00001464638,0.000007942049,0.000005025744,0.00001718147],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6005316,"threshold_uncertainty_score":0.2281241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611766964","doi":"10.15173/esr.v19i1.535","title":"MEASURING LONG-TERM ENERGY SUPPLY RISKS: A G7 RANKING","year":2012,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Global Energy Security and Policy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Energy supply; Energy security; Ranking (information retrieval); Nuclear power; Economics; Energy (signal processing); Term (time); Resource (disambiguation); Supply and demand; Natural resource economics; Business; Renewable energy; Macroeconomics; Computer science","authors":[{"name":"Manuel Frondel","is_ca":false},{"name":"Nolan Ritter","is_ca":false},{"name":"Christoph Μ. Schmidt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1338075644603986,"gpt":0.345016986205698,"spread":0.2112094217452994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006786121,0.0006553179,0.001271189,0.0001448244,0.0004453289,0.0000417892,0.0005521341,0.00017479,0.0005703811],"category_scores_gemma":[0.0003740233,0.0005600472,0.0005140319,0.0007158779,0.0001853971,0.0004605714,0.0004531772,0.0002250522,0.0001827573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455712,"about_ca_system_score_gemma":0.00004710436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006116212,"about_ca_topic_score_gemma":0.004848685,"domain_scores_codex":[0.9961657,0.0005183024,0.0008685887,0.0005325445,0.0005915553,0.001323291],"domain_scores_gemma":[0.998055,0.0002236936,0.0003298307,0.0008168757,0.0002064326,0.000368127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001707344,0.0001468301,0.0009888161,0.001303282,0.0008811824,0.00003240107,0.0003502321,0.0001568904,0.00002542751,0.7631077,0.01028388,0.2227063],"study_design_scores_gemma":[0.0004466073,0.00003754772,0.001931579,0.002987866,0.0003529345,0.00007678548,0.00003949345,0.000003704545,0.0005806871,0.0007876566,0.9920856,0.0006695478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001646688,0.8968085,0.00007658345,0.0009256331,0.00124475,0.00009238011,0.000009447233,0.0002690641,0.09892694],"genre_scores_gemma":[0.464761,0.5256667,0.0001029627,0.006185876,0.001359522,0.0001852373,0.00004299157,0.00006353266,0.001632165],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9818017,"threshold_uncertainty_score":0.9996851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120800000","doi":"10.15173/esr.v24i1.4135","title":"A New Hybrid Wavelet-Neural Network Approach for Forecasting Electricity","year":2020,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Electricity; Dual (grammatical number); Wavelet; Process (computing); Autoregressive conditional heteroskedasticity; Empirical research; Electricity market; Electricity price forecasting; Wavelet transform; Econometrics; Artificial intelligence; Machine learning; Economics; Mathematics; Volatility (finance); Statistics; Engineering","authors":[{"name":"Heni Boubaker","is_ca":false},{"name":"Souhir Ben Amor","is_ca":false},{"name":"Hichem Rezgui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06644680494165515,"gpt":0.2514001057935716,"spread":0.1849533008519164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001781723,0.0003300034,0.0007347198,0.00002130495,0.0001672295,0.00002033826,0.0002110996,0.00003733417,0.0000171205],"category_scores_gemma":[0.0002495868,0.0002866608,0.0002378306,0.0004640517,0.00001857587,0.00009087969,0.00008475039,0.0001595808,0.000002460526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004713607,"about_ca_system_score_gemma":0.00001847946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008311225,"about_ca_topic_score_gemma":0.000005248212,"domain_scores_codex":[0.998449,0.00003664536,0.0004662141,0.0003247168,0.0001465681,0.000576904],"domain_scores_gemma":[0.9993435,0.0001729175,0.00008558723,0.0001611249,0.00006047045,0.0001764198],"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":[0.00001033212,0.000006788164,0.00001497682,0.004366278,0.000441834,0.00001039043,0.0001136575,0.1412247,0.00001423784,0.00155382,0.2914802,0.5607628],"study_design_scores_gemma":[0.0002926809,0.00009622621,0.000001964898,0.0007541219,0.0001548953,0.00002668513,0.00001403008,0.3920452,0.0002931812,0.0001544133,0.6057089,0.0004576746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001377425,0.7787839,0.209122,0.0004903904,0.0004430871,0.0002961052,0.000007380667,0.0005111268,0.01020828],"genre_scores_gemma":[0.1909757,0.5853707,0.1918068,0.0168659,0.01206543,0.0008537559,0.0002698976,0.0004722443,0.001319672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5603051,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2621260887","doi":"10.15173/esr.v19i2.540","title":"Further evidence on the time-varying efficiency of crude oil markets","year":2012,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"King Saud University","keywords":"West Texas Intermediate; Crude oil; Economics; Sample (material); Closing (real estate); Investment (military); Econometrics; Financial economics; Chemistry; Volatility (finance); Petroleum engineering; Finance; Engineering","authors":[{"name":"Chaker Aloui","is_ca":false},{"name":"Manel Hamdi","is_ca":false},{"name":"Walid Mensi","is_ca":false},{"name":"Duc Khuong Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07604759004113566,"gpt":0.2821615408681269,"spread":0.2061139508269912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002400907,0.0001543915,0.0005711106,0.00004303976,0.0001067168,0.000008325705,0.0002662705,0.00003272743,0.001148787],"category_scores_gemma":[0.00128695,0.0001079808,0.0001724761,0.0002586851,0.00008951743,0.0001025747,0.0001383267,0.00008407029,0.0001024232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005371692,"about_ca_system_score_gemma":0.000007171339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003028638,"about_ca_topic_score_gemma":0.000003205311,"domain_scores_codex":[0.9987565,0.00009576329,0.0005942457,0.0002295095,0.00005993431,0.0002640883],"domain_scores_gemma":[0.9983835,0.0006403337,0.0003832153,0.0005042464,0.00004654068,0.00004220517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001087151,0.0009797312,0.09479119,0.01049048,0.001470658,0.00000381151,0.002013702,0.00001391282,0.0000510682,0.5271489,0.05110827,0.3118196],"study_design_scores_gemma":[0.0002834113,0.0001200218,0.01639719,0.007672776,0.00009885379,0.000004098622,0.00006729358,0.00302654,0.00007955996,0.005314377,0.9661552,0.0007806928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01330555,0.8910214,0.0001070829,0.00287096,0.0002979282,0.00008324635,0.00001492686,0.00001348512,0.09228543],"genre_scores_gemma":[0.5238789,0.4715151,0.00006446915,0.001516807,0.00007387717,0.00004741299,0.000001210507,0.00001341974,0.002888856],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9150469,"threshold_uncertainty_score":0.9997643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572250288","doi":"10.15173/esr.v14i1.483","title":"Mexico's Long-Term Energy Outlook: Results of a Detailed Energy Supply And Demand Simulation","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"International Atomic Energy Agency; Argonne National Laboratory; U.S. Department of State; Comisión Nacional de Actividades Espaciales; U.S. Department of Energy","keywords":"Gasoline; Supply and demand; Natural gas; Primary energy; Economics; Natural resource economics; Petroleum; Crude oil; Energy demand; Production (economics); Petroleum product; Fossil fuel; Energy supply; Energy (signal processing); Business; Waste management; Microeconomics; Engineering; Petroleum engineering","authors":[{"name":"Guenter Conzelmann","is_ca":false},{"name":"J. Quintanilla","is_ca":false},{"name":"V. Rivera Aguilar","is_ca":false},{"name":"Luis Alberto Conde","is_ca":false},{"name":"J. L. Mínguez Fernández","is_ca":false},{"name":"Cecilia Martı́n del Campo","is_ca":false},{"name":"Gerardo Serrato","is_ca":false},{"name":"R. Ortega","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02021200779015285,"gpt":0.2779913104291113,"spread":0.2577793026389585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002670658,0.0005215636,0.00112353,0.0001706669,0.0002108598,0.00002028191,0.0002118961,0.0001458313,0.0000971534],"category_scores_gemma":[0.00008433799,0.0004465049,0.0002651894,0.0003646665,0.0003480302,0.0002087525,0.00008786297,0.00007566075,0.000003767253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006917976,"about_ca_system_score_gemma":0.000025874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00363677,"about_ca_topic_score_gemma":0.0192533,"domain_scores_codex":[0.9967979,0.0002471571,0.001383527,0.0006424006,0.0004570608,0.0004719434],"domain_scores_gemma":[0.9981487,0.0003690236,0.000632261,0.0005805916,0.0001489954,0.0001203883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004090813,0.0008650272,0.0181718,0.003846395,0.002580688,0.0001430057,0.000652789,0.1900978,0.001322326,0.5946708,0.010032,0.1772082],"study_design_scores_gemma":[0.003752377,0.0002832005,0.05339197,0.002733948,0.001124501,0.00001731017,0.00007786851,0.0007194048,0.009851616,0.004528414,0.9222243,0.00129505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01630411,0.9503895,0.006785705,0.001370069,0.0003750887,0.0002013431,0.0001056236,0.0002213714,0.02424719],"genre_scores_gemma":[0.6533464,0.34016,0.0001376578,0.0008972844,0.0001475713,0.00009099807,0.0002794724,0.00004718505,0.004893398],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9121923,"threshold_uncertainty_score":0.9997987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2755126874","doi":"10.15173/esr.v23i1.3311","title":"On the Impact of Wind Feed-in and Interconnections on Electricity Price in Germany","year":2017,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Spot contract; Electricity; Volatility (finance); Electricity market; Wind power; Economics; Electricity price; Electricity generation; Business; Monetary economics; Econometrics; Power (physics); Financial economics; Electrical engineering; Engineering","authors":[{"name":"François Benhmad","is_ca":false},{"name":"Jacques Percebois","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02254721333662953,"gpt":0.2972966655673509,"spread":0.2747494522307214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002810018,0.000115028,0.0003187729,0.00008595744,0.00006691985,0.00001040629,0.0001223602,0.00002516554,0.000006857461],"category_scores_gemma":[0.0004427322,0.00007351614,0.00004743669,0.000211883,0.00002127214,0.00005883557,0.00002764387,0.0001033889,0.00000196339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169554,"about_ca_system_score_gemma":0.000008368459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001547855,"about_ca_topic_score_gemma":0.0001818433,"domain_scores_codex":[0.9993873,0.0000683953,0.0002324247,0.0001090727,0.00006696322,0.0001358305],"domain_scores_gemma":[0.9993846,0.0002135168,0.00008695996,0.0002743638,0.00002609408,0.00001445938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001845602,0.001216457,0.01964428,0.01478467,0.005013984,0.0001112027,0.007019109,0.4812517,0.001701014,0.1046564,0.09405079,0.2703658],"study_design_scores_gemma":[0.005276202,0.003720693,0.7036709,0.08302847,0.0003739062,0.0001146863,0.0003602471,0.1630659,0.00417926,0.004144632,0.02851048,0.003554626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4006625,0.5381896,0.0007244893,0.001094729,0.000403415,0.0008881454,0.000005087751,0.00009750697,0.05793448],"genre_scores_gemma":[0.8514304,0.1484233,0.000005407316,0.00004623312,0.00001172967,0.00002610402,2.829266e-7,0.000008837633,0.00004769594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6840266,"threshold_uncertainty_score":0.2997901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2754923133","doi":"10.15173/esr.v22i1.3307","title":"FINANCIAL LIBERALIZATION AND THE ENVIRONMENTAL QUALITY: EVIDENCE FROM TUNISIA","year":2017,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cointegration; Prosperity; Economics; Per capita income; Environmental quality; Liberalization; Per capita; Interdependence; Quality (philosophy); Empirical evidence; Macroeconomics; International economics; Natural resource economics; Econometrics; Economic growth; Market economy","authors":[{"name":"Helmi Hamdi","is_ca":false},{"name":"Abdelaziz Hakimi","is_ca":false},{"name":"Rashid Sbia","is_ca":false},{"name":"Nabila Boukef Jlassi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08611275248507322,"gpt":0.2821991295730162,"spread":0.196086377087943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009610418,0.0002125855,0.000807696,0.00002676947,0.0005855481,0.00008659015,0.0004488683,0.00005731863,0.0002561969],"category_scores_gemma":[0.0009023142,0.0001782377,0.0001397158,0.00002669055,0.0005812331,0.0003964905,0.0004717421,0.00008789483,0.0001307211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112884,"about_ca_system_score_gemma":0.00000612534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007447479,"about_ca_topic_score_gemma":0.0001484955,"domain_scores_codex":[0.9983928,0.00008838397,0.0007454446,0.0005218468,0.00004623694,0.0002052911],"domain_scores_gemma":[0.9978495,0.0002264245,0.0009452535,0.0009302328,0.000004677065,0.00004394614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003797614,0.00005548487,0.05326867,0.000338255,0.0004501821,0.000005090239,0.0006333156,0.00003158679,0.00001031113,0.9064698,0.007708666,0.0309907],"study_design_scores_gemma":[0.00149845,0.00003724733,0.2483703,0.001032163,0.00009897238,0.000002931626,0.00005329157,0.0001778179,0.00004486111,0.09550153,0.6525581,0.0006242706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04224299,0.9428954,0.0004539297,0.009634577,0.0004648799,0.0002117696,0.00007681252,0.00001826244,0.004001349],"genre_scores_gemma":[0.3421206,0.6536155,0.0001523908,0.002552149,0.0001477576,0.00009056498,0.00001119633,0.00001625321,0.001293574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8109682,"threshold_uncertainty_score":0.7268322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2617709255","doi":"10.15173/esr.v9i1.406","title":"Energy Use in the Commercial Sector: Estimated Intensities and Costs for Canada Based on US Survey Data","year":2000,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"McMaster University","funders":"Natural Resources Canada; McMaster University","keywords":"Energy (signal processing); Survey data collection; Energy sector; Environmental economics; Environmental science; Natural resource economics; Agricultural economics; Business; Econometrics; Economics; Statistics; Mathematics","authors":[{"name":"Frank T. Denton","is_ca":true},{"name":"Dean C. Mountain","is_ca":true},{"name":"Byron G. Spencer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1210382719743729,"gpt":0.3148430788474114,"spread":0.1938048068730385,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802919,0.0002932905,0.0005609341,0.0000446876,0.0002063144,0.00002818439,0.0003357266,0.00004686115,0.00009523036],"category_scores_gemma":[0.0002589205,0.0002078755,0.00004761908,0.0002159298,0.0001586685,0.0001241121,0.00003455523,0.00008127251,0.00000100012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139936,"about_ca_system_score_gemma":0.00007608639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8361666,"about_ca_topic_score_gemma":0.9890752,"domain_scores_codex":[0.9981191,0.0004567059,0.0004503024,0.0003917573,0.0002653184,0.0003168327],"domain_scores_gemma":[0.9974082,0.001675431,0.0001002346,0.0007028411,0.00005634667,0.00005691527],"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":[0.0006579288,0.0005879752,0.03340412,0.001760093,0.001311374,0.0001648266,0.0008013056,0.06828139,0.000006844476,0.04682243,0.3933076,0.4528941],"study_design_scores_gemma":[0.0006264997,0.00006920189,0.08216634,0.0007687657,0.0001174535,0.000002438943,0.00009100883,0.002038053,0.00002000084,0.00003391692,0.9137305,0.00033584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1933218,0.7507218,0.000649738,0.02030917,0.001969018,0.001890534,0.007661305,0.0003654261,0.02311116],"genre_scores_gemma":[0.7237486,0.237698,0.00008941819,0.03519342,0.00007442629,0.0001819822,0.002193453,0.00004072507,0.0007800289],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5304267,"threshold_uncertainty_score":0.8476916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2595496416","doi":"10.15173/esr.v20i2.548","title":"Assessing the Cross-Commodity Relationships in Energy Markets","year":2014,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cointegration; West Texas Intermediate; Commodity; Economics; Benchmark (surveying); Econometrics; Crude oil; Brent Crude; Oil price; Term (time); Focus (optics); Energy (signal processing); Financial economics; Monetary economics; Petroleum engineering; Statistics; Mathematics; Finance; Geography; Geology","authors":[{"name":"Julien Chevallier","is_ca":false},{"name":"Florian Ielpo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1016977040684793,"gpt":0.3282815210672064,"spread":0.2265838169987271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004217729,0.000173223,0.0006232003,0.00006762993,0.0003328427,0.00009012625,0.0002748944,0.00006476972,0.0001434903],"category_scores_gemma":[0.001766787,0.0001386838,0.0001439956,0.0003646676,0.0001245473,0.0002375861,0.0001683638,0.000197382,0.00001287209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108194,"about_ca_system_score_gemma":0.00001058636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002125141,"about_ca_topic_score_gemma":0.0005290618,"domain_scores_codex":[0.9981908,0.0002917403,0.0008423061,0.0003752756,0.00004758755,0.0002522567],"domain_scores_gemma":[0.9982751,0.0006955876,0.0003751955,0.0005620671,0.00005277561,0.00003927569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003378236,0.00005418111,0.300511,0.0004684958,0.00008313635,0.000001367512,0.00005584414,0.00003911707,7.960625e-8,0.6509847,0.004503615,0.04329503],"study_design_scores_gemma":[0.000135068,0.000006389811,0.207087,0.0002831316,0.00000781211,0.000001277031,0.00001452553,0.01834638,3.058988e-7,0.07634387,0.6975957,0.0001785498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01781475,0.762504,0.006989053,0.005069387,0.0009018569,0.0001685953,0.0000257335,0.00004955237,0.2064771],"genre_scores_gemma":[0.8361887,0.1610022,0.0001492705,0.001532875,0.00009384227,0.00007474565,0.00001290243,0.0000150689,0.0009303099],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.818374,"threshold_uncertainty_score":0.5655361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2342710669","doi":"10.15173/esr.v20i1.542","title":"The Effect of Poverty Status and Public Housing Residency on Residential Energy Consumption in the U.S.","year":2013,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Income elasticity of demand; Price elasticity of demand; Economics; Energy poverty; Consumption (sociology); Energy consumption; Poverty; Agricultural economics; Electricity; Energy conservation; Demographic economics; Situated; Business; Labour economics; Economic growth; Microeconomics","authors":[{"name":"Rasha Ahmed","is_ca":false},{"name":"Keely Jones Stater","is_ca":false},{"name":"Mark Stater","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03745700080306154,"gpt":0.2558478766014787,"spread":0.2183908757984172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279874,0.000158172,0.000547251,0.00008999184,0.0002249885,0.00008830042,0.0001884036,0.00004418037,0.00006591417],"category_scores_gemma":[0.0006084687,0.00009812981,0.0000926278,0.0001667969,0.0001448767,0.0001750076,0.000097381,0.00008941609,0.00002658388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008098211,"about_ca_system_score_gemma":0.00001125924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450508,"about_ca_topic_score_gemma":0.001631809,"domain_scores_codex":[0.998544,0.0001998125,0.0006533409,0.000257913,0.00004394015,0.0003009601],"domain_scores_gemma":[0.9984786,0.00074835,0.000367536,0.0003485461,0.00002330462,0.00003365065],"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":[0.00006304327,0.00005930555,0.149288,0.00166712,0.0003620919,0.000004639392,0.0003542294,0.00002417678,0.000002845741,0.3018842,0.04618535,0.500105],"study_design_scores_gemma":[0.001429661,0.0005942124,0.09284206,0.001656848,0.00008005639,0.000007451849,0.0002730597,0.0003123724,0.00005514931,0.028618,0.8734365,0.0006946863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1644865,0.798296,0.00002961848,0.005836748,0.0005800959,0.0003638684,0.000008371358,0.00002037586,0.03037845],"genre_scores_gemma":[0.4479449,0.5512896,0.00000775748,0.0005857318,0.00003855394,0.00006568632,0.000002244264,0.000009177411,0.00005631781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8272511,"threshold_uncertainty_score":0.4001617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W170944168","doi":"10.15173/esr.v15i1.504","title":"Empirical Assessment of Market Power in the Alberta Wholesale Electricity Market","year":2007,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Market power; Price elasticity of demand; Margin (machine learning); Economics; Marginal cost; Microeconomics; Electricity; Electricity market; Lerner index; Sample (material); Industrial organization; Business","authors":[{"name":"Feng Qu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01813228344376835,"gpt":0.313628202834778,"spread":0.2954959193910097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001851998,0.0001882432,0.0005267696,0.0000988762,0.00003518629,0.000006670447,0.0002390428,0.00005312704,0.0001115147],"category_scores_gemma":[0.00023118,0.0001310673,0.00009373252,0.001061202,0.00002742434,0.00006073426,0.00003900921,0.0001449978,0.000001840008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767511,"about_ca_system_score_gemma":0.00002256292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004277455,"about_ca_topic_score_gemma":0.0004456664,"domain_scores_codex":[0.9983468,0.000246405,0.0006222375,0.00017558,0.0002934832,0.0003155093],"domain_scores_gemma":[0.9987665,0.0006995259,0.00009821264,0.000331353,0.00007459382,0.00002975769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001888903,0.0002630682,0.01402916,0.005256411,0.000742825,0.00004825138,0.0006443918,0.001542334,0.00003456561,0.002313333,0.9451951,0.0299116],"study_design_scores_gemma":[0.0005268665,0.0001580936,0.0581526,0.002820163,0.0001643407,0.000043994,0.0001580714,0.006855371,0.0001113607,0.00006598842,0.9303745,0.0005686511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0008563664,0.6090857,0.01529311,0.000678735,0.0003462458,0.0004783897,0.000002161528,0.00006934885,0.3731899],"genre_scores_gemma":[0.6258425,0.3700314,0.0009043247,0.001304239,0.00006030239,0.0001180148,0.000006367739,0.00004436778,0.001688507],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6249861,"threshold_uncertainty_score":0.5344771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977800280","doi":"10.15173/esr.v10i2.431","title":"Estimates of Learning by Doing in the Manufacture of Electric Power Gas Turbines","year":2002,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Offset (computer science); Economics; Production (economics); Range (aeronautics); Econometrics; Environmental science; Unit (ring theory); Microeconomics; Mathematics; Computer science; Materials science","authors":[{"name":"Gale Boyd","is_ca":false},{"name":"J.C. Molburg","is_ca":false},{"name":"J.D. Cavallo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0285056943110871,"gpt":0.2380400907352015,"spread":0.2095343964241144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002694652,0.0001099371,0.0006204817,0.0001053046,0.00004416837,0.000005837596,0.0001374563,0.00002575446,0.000250057],"category_scores_gemma":[0.0001206138,0.00007428972,0.0001588868,0.0004436503,0.00004210735,0.00005199407,0.00003098567,0.00007672956,0.0000136264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001789017,"about_ca_system_score_gemma":0.000001069022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054739,"about_ca_topic_score_gemma":0.00001472807,"domain_scores_codex":[0.9991365,0.00002574187,0.0005200722,0.0001512229,0.00003711599,0.000129311],"domain_scores_gemma":[0.9993551,0.0001106963,0.0003567762,0.0001455691,0.0000210105,0.00001083588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001486946,0.001000077,0.04156072,0.006877702,0.003407502,0.00002306516,0.01056739,0.001696779,0.0002132366,0.6292556,0.2277798,0.0776033],"study_design_scores_gemma":[0.000442502,0.0002538045,0.001422432,0.001261235,0.0002187082,0.000005460685,0.00078982,0.002102294,0.001082544,0.01356808,0.9783352,0.000517944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0163533,0.9778118,0.00001432825,0.0007729867,0.00003185346,0.00005138805,0.000003498069,0.000004694232,0.00495615],"genre_scores_gemma":[0.3923809,0.6069781,0.00004736405,0.0002065467,0.000007429703,0.000009863639,0.000002968112,0.000004544287,0.0003622847],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7505554,"threshold_uncertainty_score":0.3029447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W67248145","doi":"10.15173/esr.v9i1.405","title":"The Economics of Strategies to Reduce Greenhouse Gas Emissions","year":2000,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Damages; Climate change; Natural resource economics; Environmental economics; Government (linguistics); Economics; Global warming; Climate policy; Economic interventionism; Political science; Ecology","authors":[{"name":"Lisa Cameron","is_ca":false},{"name":"W. David Montgomery","is_ca":false},{"name":"Harry L. Foster","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1426681693643378,"gpt":0.3188588573613683,"spread":0.1761906879970305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383975,0.0001824436,0.0007026531,0.00005526756,0.0002486403,0.00003623371,0.0003456212,0.00004269724,0.0006526063],"category_scores_gemma":[0.0001172047,0.0001532949,0.000183639,0.0001812967,0.0001133768,0.0001303906,0.0001038737,0.00006655992,0.0003284817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008351565,"about_ca_system_score_gemma":0.00002079761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002723252,"about_ca_topic_score_gemma":0.0004934011,"domain_scores_codex":[0.9984385,0.00001873349,0.000906066,0.0003058279,0.00001533511,0.0003155581],"domain_scores_gemma":[0.9989265,0.0001437019,0.0002858749,0.0005264303,0.00002652418,0.00009094566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000029206,0.00007833313,0.0001234135,0.0006845182,0.0004352143,0.000001446409,0.001061329,0.0004916178,0.000002552632,0.7438163,0.06485309,0.188423],"study_design_scores_gemma":[0.0001060463,0.00005502938,0.00008091758,0.0002505779,0.00001521326,0.000003062715,0.0002971461,0.00003542809,0.00002491554,0.0229489,0.9759956,0.0001871826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03994076,0.8155962,0.00002340338,0.01742572,0.0004638754,0.0002854238,0.0002013719,0.00004382598,0.1260194],"genre_scores_gemma":[0.02383065,0.9696054,0.000130324,0.002050788,0.0001513025,0.00009778388,0.0000064215,0.0000250385,0.004102301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9111425,"threshold_uncertainty_score":0.7145582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W213080541","doi":"10.15173/esr.v10i1.429","title":"Citizen and Consumer Attitudes Towards Electricity Industry Restructuring: An Ontario (Canada) Case-Study","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"CITES; Restructuring; Nothing; Sustainability; Purchasing; Notice; Ivory tower; Business; Environmental ethics; Marketing; Political science; Law; Ecology","authors":[{"name":"Ian Rowlands","is_ca":true},{"name":"Paul Parker","is_ca":true},{"name":"Daniel Scott","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05536933471292328,"gpt":0.3095339184668894,"spread":0.2541645837539661,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003675841,0.0003804,0.0007175762,0.00007297446,0.000457507,0.00003324376,0.0002415268,0.00009972765,0.0002622347],"category_scores_gemma":[0.0001084155,0.0003134159,0.00006277764,0.0003969827,0.0001134215,0.0001245958,0.000282331,0.0003391011,0.000001252788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947521,"about_ca_system_score_gemma":0.0002375958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9481499,"about_ca_topic_score_gemma":0.9952543,"domain_scores_codex":[0.9977221,0.000246763,0.0005126464,0.0006226699,0.0004152388,0.0004805427],"domain_scores_gemma":[0.9989362,0.0000708632,0.0001511661,0.0005486442,0.0001239584,0.0001691749],"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":[0.00006918095,0.001149034,0.0632171,0.001880136,0.003581132,0.02482729,0.001993866,0.001780662,0.000008317014,0.03333645,0.02838431,0.8397725],"study_design_scores_gemma":[0.0007792595,0.0003232798,0.0468792,0.0006030506,0.0005177092,0.001312238,0.001592148,0.00001856152,0.00004046667,0.0001666976,0.9469818,0.0007856304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050565,0.1681669,0.00001174501,0.0004626504,0.000344254,0.0003106513,0.000001639243,0.0001133253,0.02553239],"genre_scores_gemma":[0.9185055,0.07510631,0.00008768367,0.002387751,0.00009847068,0.0001304749,0.000005734371,0.00002799025,0.003650031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185975,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118582967","doi":"10.15173/esr.v24i1.4295","title":"more Sustainable buildings, the more Sustainable societies","year":2020,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Sustainability; Sustainable development; Environmental economics; Quality (philosophy); Business; Environmental resource management; Environmental planning; Environmental quality; Architectural engineering; Computer science; Risk analysis (engineering); Environmental science; Engineering; Economics; Ecology","authors":[{"name":"Nima Norouzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02283328421714848,"gpt":0.2784497544451663,"spread":0.2556164702280179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004495161,0.0004214555,0.0007064927,0.00004201878,0.0005279096,0.00009282991,0.000509856,0.00006622596,0.00008193571],"category_scores_gemma":[0.0003540982,0.0002918088,0.0002435174,0.0008830078,0.0001937787,0.0002342923,0.0003976096,0.000267099,0.00001027277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680437,"about_ca_system_score_gemma":0.00009596987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003593445,"about_ca_topic_score_gemma":5.531255e-7,"domain_scores_codex":[0.9978002,0.00008105383,0.0004331213,0.000362153,0.0003741479,0.0009492668],"domain_scores_gemma":[0.9988354,0.0001548702,0.00008399597,0.0004038934,0.0003818259,0.0001400087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004435163,0.00001561221,0.00001969794,0.01528016,0.0005222611,0.0002063601,0.001796481,0.00576656,0.00001599456,0.0630316,0.9066923,0.0066486],"study_design_scores_gemma":[0.0001632207,0.00004224609,0.00001142037,0.0004070546,0.0001553063,0.00000589233,0.04964774,0.0006933608,0.000178036,0.0008696622,0.947475,0.0003510773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003361001,0.952794,0.00263243,0.03597583,0.0001545924,0.0005962233,0.000002134383,0.0006445048,0.006864174],"genre_scores_gemma":[0.05940431,0.880675,0.0007036866,0.02485973,0.0006634757,0.0009404251,0.00001493951,0.0001720901,0.03256631],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07211897,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613549043","doi":"10.15173/esr.v19i1.536","title":"THE EFFECTS OF URANIUM PRICE FLUCTUATIONS ON PRODUCTION, EXPLORATION EXPENDITURES AND RESERVES: VAR APPROACH","year":2012,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Uranium; Vector autoregression; Economics; Variance decomposition of forecast errors; Production (economics); Econometrics; Microeconomics; Physics; Nuclear physics","authors":[{"name":"Sondès Kahouli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05082967365919982,"gpt":0.2707562349713601,"spread":0.2199265613121603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022366,0.0001096463,0.0003362691,0.00003912518,0.0002372293,0.00001247355,0.00009119642,0.00002692503,0.000007221134],"category_scores_gemma":[0.001491814,0.00007856265,0.00005857302,0.0001407807,0.00007435708,0.0001983685,0.00005802678,0.00005813171,0.000002471514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003139148,"about_ca_system_score_gemma":0.000004038139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157445,"about_ca_topic_score_gemma":0.00001079455,"domain_scores_codex":[0.9991071,0.00007767729,0.0004162756,0.0002057139,0.00004313051,0.0001500574],"domain_scores_gemma":[0.9990346,0.0002684832,0.0002876972,0.0003292356,0.00004809701,0.00003190872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002221955,0.0003109087,0.007422564,0.007129505,0.000503798,1.639813e-7,0.00187427,0.00001635315,0.00000921346,0.9402434,0.02464529,0.01782227],"study_design_scores_gemma":[0.0003341084,0.000154558,0.0374456,0.0009037252,0.00008173589,0.000002810267,0.0005257368,0.000847472,0.00009028107,0.02238267,0.9368024,0.0004288607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006411233,0.9791382,0.001398816,0.0014642,0.0009599826,0.0004086016,0.000007610911,0.0000158221,0.01019553],"genre_scores_gemma":[0.431765,0.5668523,0.0001962425,0.0001086588,0.0001578429,0.0002384978,0.000009532221,0.000009444147,0.0006624318],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9178608,"threshold_uncertainty_score":0.3203692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W134331516","doi":"10.15173/esr.v10i1.423","title":"A Forecast of Energy Demand in Japan Considering Asymmetric Price Elasticities","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Economics; Energy demand; Energy (signal processing); Econometrics; Price elasticity of demand; Demand curve; Microeconomics; Natural resource economics; Mathematics","authors":[{"name":"Yutaka Nagata","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03546260309173535,"gpt":0.2738344922734652,"spread":0.2383718891817299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002364905,0.0003319248,0.0009371496,0.0003204001,0.00009758241,0.000008218891,0.0001803672,0.00007331762,0.0001591427],"category_scores_gemma":[0.0002106829,0.0002908917,0.0001816169,0.0009765821,0.0002366617,0.0001399032,0.0000641416,0.00008601758,0.000006464037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008427049,"about_ca_system_score_gemma":0.00002539513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059773,"about_ca_topic_score_gemma":0.007421638,"domain_scores_codex":[0.9978461,0.0001327126,0.0009185346,0.0003545404,0.0003114866,0.0004366077],"domain_scores_gemma":[0.9988014,0.0003886157,0.0003208651,0.0003316657,0.00007336053,0.00008414104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005505106,0.0004514775,0.01815185,0.003598782,0.001263881,0.0001227692,0.001333025,0.02664243,0.0001076455,0.8189126,0.00258812,0.1267724],"study_design_scores_gemma":[0.0009739351,0.000150083,0.01336813,0.002862679,0.0002657011,0.00003803702,0.0007989663,0.0001086568,0.001430898,0.00319776,0.9761772,0.0006279445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03884253,0.8576048,0.00132777,0.0006620971,0.0003158235,0.0001433106,0.00001262549,0.000101193,0.1009899],"genre_scores_gemma":[0.5137767,0.4835188,0.0001713586,0.0008950146,0.00005337536,0.00009756986,0.00001392894,0.00002657512,0.00144666],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9735891,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613427390","doi":"10.15173/esr.v19i1.537","title":"ENERGY CONSUMPTION AND GDP REVISITED: A FRACTIONAL COINTEGRATION RELATIONSHIP FOR TURKEY","year":2012,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Econometrics; Consumption (sociology); Energy consumption; Engineering","authors":[{"name":"Burcu Kıran","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09397635191936873,"gpt":0.284876419361874,"spread":0.1909000674425053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007713709,0.0002174116,0.0006143718,0.0001202266,0.000218452,0.00002183863,0.00008350317,0.00008825518,0.0002946211],"category_scores_gemma":[0.0004119157,0.0002300276,0.0001410001,0.0001054387,0.00009259266,0.0004385381,0.00006076043,0.00008124585,0.0001000278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231265,"about_ca_system_score_gemma":0.000006393596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006565934,"about_ca_topic_score_gemma":0.00002760479,"domain_scores_codex":[0.9984708,0.0000473681,0.0007695784,0.0003918142,0.00003623284,0.0002841686],"domain_scores_gemma":[0.9987097,0.000333262,0.0005613556,0.0002697252,0.00002987193,0.00009609541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006511698,0.00004384771,0.02805019,0.0004654161,0.0001682636,1.658905e-7,0.00004765218,0.00002457874,0.000002371197,0.9448885,0.02136678,0.004935706],"study_design_scores_gemma":[0.0003354387,0.00003112741,0.01740525,0.000291766,0.00005743025,0.00001020444,0.00002526821,0.0003178057,0.00001261664,0.01569315,0.9655249,0.0002950239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001853011,0.9597479,0.02563403,0.002014665,0.0005559784,0.0002431067,0.0001424536,0.0000432659,0.00976561],"genre_scores_gemma":[0.3293386,0.6592982,0.003361641,0.002899647,0.0003693836,0.0005592183,0.000220574,0.00004344972,0.003909258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9441581,"threshold_uncertainty_score":0.9380251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W22282666","doi":"10.15173/esr.v12i1.452","title":"Backwardation in Energy Future Markets: Metallgesellschaft Revisited","year":2003,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Normal backwardation; Futures contract; Margin (machine learning); Convenience yield; Contango; Economics; Set (abstract data type); Financial economics; Econometrics; Spot contract; Actuarial science; Computer science","authors":[{"name":"Narat Charupat","is_ca":true},{"name":"Richard Deaves","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03451742351439951,"gpt":0.253919407587136,"spread":0.2194019840727365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007246971,0.0002246607,0.0009751575,0.0002377356,0.00007945239,0.00002084803,0.0001431562,0.00006679591,0.001152615],"category_scores_gemma":[0.0001903767,0.0002033962,0.0002849828,0.000933683,0.00004388006,0.0001766613,0.00004847287,0.00007913163,0.0001518367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122144,"about_ca_system_score_gemma":0.000008145524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007912795,"about_ca_topic_score_gemma":0.0001063645,"domain_scores_codex":[0.998315,0.0001055457,0.0008364626,0.0004381571,0.00005271454,0.0002520913],"domain_scores_gemma":[0.99915,0.00004776754,0.0003321211,0.0003644086,0.00004943534,0.00005624617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002111644,0.00004563446,0.0004247877,0.00027905,0.0003150474,0.000005504469,0.0000388864,0.000007755856,6.233083e-7,0.9724692,0.02256291,0.003848473],"study_design_scores_gemma":[0.0001927408,0.00001496979,0.0003143974,0.0002684743,0.00005818659,0.00000201598,0.00006775181,0.00007745903,0.0000137333,0.02408137,0.9746596,0.0002493551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002153888,0.9718126,0.0001042052,0.001442738,0.0002720755,0.00007179307,0.00001161178,0.00001959439,0.02605],"genre_scores_gemma":[0.008567022,0.9821199,0.0003375496,0.002951784,0.0001208999,0.00007389107,0.00005086897,0.00001948733,0.005758638],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9520966,"threshold_uncertainty_score":0.9997604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W127921978","doi":"10.15173/esr.v17i2.524","title":"The Role of Subsidy Policy in Oil Price Shocks: The Moroccan Case","year":2010,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Subsidy; Economics; Oil price; Natural resource economics; Macroeconomics; Monetary economics; Market economy","authors":[{"name":"Rafik Jbir","is_ca":false},{"name":"Sonia Ghorbel‐Zouari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02131372265713407,"gpt":0.2655992013914731,"spread":0.244285478734339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468519,0.000127353,0.0004613627,0.00004966681,0.0001836012,0.00001593349,0.0002910626,0.00003746432,0.00005868815],"category_scores_gemma":[0.0008733899,0.00007872657,0.0001205748,0.0004061452,0.0001459981,0.00004498768,0.0001603803,0.0001744269,0.000004770412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441331,"about_ca_system_score_gemma":0.00002385097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072576,"about_ca_topic_score_gemma":0.01075108,"domain_scores_codex":[0.9988278,0.00004817106,0.0006549697,0.0002151196,0.0000327433,0.0002212579],"domain_scores_gemma":[0.9987218,0.00030174,0.0003288677,0.0005692213,0.0000468964,0.00003149052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006994979,0.00006462031,0.04156964,0.0004878105,0.0001533224,0.00001020819,0.0003495931,0.000004203563,0.000002618573,0.7587208,0.0006412097,0.197989],"study_design_scores_gemma":[0.0001078792,0.00001357739,0.003719371,0.0000978333,0.000009737632,0.00002631849,0.0001857721,0.002483638,0.000002959081,0.02811876,0.9651015,0.000132621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07597384,0.840233,0.000008239443,0.004955573,0.000291525,0.0001180122,0.00004007664,0.000009846868,0.07836991],"genre_scores_gemma":[0.5691721,0.4294772,0.00002229115,0.0003272867,0.00007057672,0.00006207518,0.000001182606,0.000008284712,0.0008590072],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9644603,"threshold_uncertainty_score":0.5999357,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2595619534","doi":"10.15173/esr.v9i2.418","title":"Urban Form and Vehicular Travel: Some Empirical Findings","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Work (physics); Vehicle miles of travel; Geography; Transport engineering; Engineering","authors":[{"name":"Eric J. Miller","is_ca":false},{"name":"Amal Ibrahim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07022680605872132,"gpt":0.3707983275907371,"spread":0.3005715215320157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005411536,0.0001342427,0.0004260629,0.000023914,0.000472989,0.00002218698,0.0001562848,0.00005456889,0.0001233093],"category_scores_gemma":[0.0001373007,0.0001011209,0.0001134751,0.0002903682,0.0003402643,0.0002419067,0.00003809838,0.00007824306,0.000007683984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005616244,"about_ca_system_score_gemma":0.00003785429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003085642,"about_ca_topic_score_gemma":0.001102838,"domain_scores_codex":[0.9988158,0.00008075509,0.0002732734,0.0002744575,0.0002578268,0.0002979127],"domain_scores_gemma":[0.9995522,0.00007811774,0.00005434694,0.0001432994,0.00006492859,0.000107084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001942931,0.0002300111,0.6757562,0.002005763,0.0004372006,0.0001344338,0.01423069,2.438055e-7,0.00001286357,0.03857265,0.148921,0.1196795],"study_design_scores_gemma":[0.0001097482,0.00001976589,0.04983487,0.0003460373,0.0000952274,7.445534e-7,0.0004885733,8.526227e-7,0.000006732348,0.001868415,0.9470673,0.0001617724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1283965,0.8497334,0.00002266619,0.009836521,0.0001959558,0.0001771854,0.000002108473,0.00006551488,0.01157017],"genre_scores_gemma":[0.3794704,0.6137539,0.00003825227,0.003414263,0.0002661888,0.00003302129,0.000003150088,0.000008060529,0.003012724],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7981462,"threshold_uncertainty_score":0.4123589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W328099773","doi":"10.15173/esr.v21i1.2530","title":"PRICE CONVERGENCE AND INTEGRATION IN THE GERMANY, FRANCE AND ITALY ELECTRICITY MARKETS","year":2015,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cointegration; Convergence (economics); Economics; Electricity; Market integration; Electricity market; Econometrics; Empirical evidence; Electricity price; Macroeconomics; Economy; Financial economics; Engineering","authors":[{"name":"Lanouar Charfeddine","is_ca":false},{"name":"Rafik Jbir","is_ca":false},{"name":"JIHENE KARBOUL","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01816588825097415,"gpt":0.2493427553098022,"spread":0.231176867058828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005136677,0.0001071431,0.0002193689,0.00003369846,0.00002928172,0.0000115174,0.00007105506,0.00002001806,0.000001633704],"category_scores_gemma":[0.0001998078,0.00007363531,0.00001070785,0.0004075201,0.00002131291,0.0001107057,0.00002029585,0.00006828299,0.000001534893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004249417,"about_ca_system_score_gemma":0.000007216763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465867,"about_ca_topic_score_gemma":0.00003228958,"domain_scores_codex":[0.9993351,0.0001123318,0.0002033897,0.000118995,0.0001101348,0.0001201206],"domain_scores_gemma":[0.99967,0.00009765271,0.00003888715,0.0001113663,0.00005748062,0.00002461761],"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":[0.00005254836,0.0001889256,0.007898362,0.01592854,0.0007976302,0.00009241179,0.01117953,0.003591888,0.0004423275,0.02343823,0.2247766,0.711613],"study_design_scores_gemma":[0.002348011,0.0006587214,0.0406246,0.01098107,0.0003943321,0.0003883763,0.0008599963,0.1739508,0.0007746097,0.001499856,0.7653254,0.002194207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004061315,0.9842316,0.007583814,0.0003181601,0.0001370452,0.0001969479,4.975894e-7,0.00004514439,0.003425497],"genre_scores_gemma":[0.4892136,0.5101624,0.0001319789,0.0003098899,0.00001893569,0.00006738303,0.000001303039,0.000006915655,0.00008756945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7094188,"threshold_uncertainty_score":0.3002761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213549186","doi":"10.15173/esr.v25i1.4438","title":"ENERGY DIVERSIFICATION OF SOURCES IN SUB-SAHARAN AFRICA: What Impact On Quality Of Life ?","year":2021,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Natural resource economics; Business; Energy (signal processing); Quality of life (healthcare); Economics; Environmental economics; Economic geography; Development economics; Marketing; Psychology; Mathematics","authors":[{"name":"Florence Blanche Limi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06697362765047014,"gpt":0.3044908224610275,"spread":0.2375171948105573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004491654,0.0001850607,0.0006333941,0.0000326737,0.00005227985,0.000005954569,0.0001738498,0.00004977621,0.0005621583],"category_scores_gemma":[0.0002270474,0.0001410748,0.0001828408,0.0004276586,0.0002126916,0.0002472223,0.0002127444,0.00005729608,0.00001712369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497843,"about_ca_system_score_gemma":0.00001455133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530967,"about_ca_topic_score_gemma":0.0003430605,"domain_scores_codex":[0.9982165,0.00035086,0.0005469676,0.0002936251,0.0003721424,0.0002199543],"domain_scores_gemma":[0.9989852,0.000209892,0.0003166246,0.0003899951,0.00001410335,0.00008418575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004859764,0.004104813,0.08825697,0.004551691,0.001939078,0.00006024658,0.003330643,0.1022729,0.03246931,0.006435699,0.07281879,0.6832739],"study_design_scores_gemma":[0.001562892,0.0005499859,0.6141958,0.006810733,0.0002410557,0.000004289666,0.001389322,0.00005713589,0.0514525,0.0009724349,0.3216341,0.001129735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3462635,0.6491702,0.00003210498,0.0006584951,0.00008928774,0.00005463471,0.000008692869,0.000009928257,0.003713187],"genre_scores_gemma":[0.5209759,0.4784709,0.0000209569,0.0003408744,0.000008305427,0.000009458525,0.000009512811,0.000005135911,0.000158975],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6821442,"threshold_uncertainty_score":0.6155239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120104807","doi":"10.15173/esr.v24i1.4293","title":"The Dynamic Effects of Renewable Energy on Economic Growth : The Case of China","year":2020,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Renewable energy; Cointegration; Economics; China; Energy consumption; Consumption (sociology); Context (archaeology); Natural resource economics; Investment (military); Estimation; Econometrics; Engineering","authors":[{"name":"Majed Almozaini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01767862996371279,"gpt":0.2222056203539468,"spread":0.204526990390234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005467361,0.0003009474,0.001109474,0.00005382236,0.0002301511,0.00001436297,0.0005513172,0.00005877692,0.00006482637],"category_scores_gemma":[0.0003881543,0.0002134361,0.0003358752,0.0001839825,0.0003044237,0.00008765539,0.0002802212,0.0001068231,0.00004291819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808477,"about_ca_system_score_gemma":0.00001837382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974369,"about_ca_topic_score_gemma":0.0008179,"domain_scores_codex":[0.9978374,0.0001106582,0.001188847,0.0005151449,0.00003430387,0.0003136102],"domain_scores_gemma":[0.997449,0.0005880755,0.001146092,0.0007225427,0.00001575912,0.00007852077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000030767,0.00009414545,0.0004025613,0.002381671,0.001396697,0.0000528594,0.0003266968,0.004258902,0.0000148011,0.953967,0.02302196,0.01405192],"study_design_scores_gemma":[0.001670878,0.001005927,0.001766413,0.001330616,0.0003086034,0.00007838219,0.0003006432,0.005130474,0.003008261,0.05669979,0.9275379,0.001162102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01268463,0.9477383,0.0004723686,0.0114332,0.0007753908,0.0003399919,0.00008328645,0.00003309972,0.02643974],"genre_scores_gemma":[0.5446796,0.4530427,0.00003281522,0.001444248,0.00006406392,0.0001009099,0.000004148937,0.0000312358,0.0006003294],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9045159,"threshold_uncertainty_score":0.8703672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2754649994","doi":"10.15173/esr.v22i1.3308","title":"USING LOCAL IMPROVEMENT CHARGES TO FINANCE SOLAR PHOTOVOLTAIC SYSTEMS IN CANADA","year":2017,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Carleton University","funders":"","keywords":"Software deployment; Photovoltaic system; Photovoltaics; Electricity; Payment; Finance; Business; Solar energy; Environmental economics; Natural resource economics; Economics; Electrical engineering; Computer science; Engineering","authors":[{"name":"Harris Berton","is_ca":true},{"name":"Daniel Rosenbloom","is_ca":true},{"name":"Owen Temby","is_ca":true},{"name":"James Meadowcroft","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0678871330321726,"gpt":0.3520306588162217,"spread":0.2841435257840491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186331,0.0002030132,0.0007015949,0.00003449147,0.001251318,0.0000684383,0.0006523246,0.00004545402,0.00003041293],"category_scores_gemma":[0.0006240446,0.0001899351,0.00007128756,0.000246593,0.0001897564,0.000200906,0.0002325817,0.00007581656,0.000003835555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491647,"about_ca_system_score_gemma":0.001299141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947966,"about_ca_topic_score_gemma":0.9982367,"domain_scores_codex":[0.9979679,0.0001466679,0.0004040014,0.0003696778,0.0005237016,0.0005880814],"domain_scores_gemma":[0.9988743,0.00007020751,0.000318454,0.0004417448,0.0001841803,0.0001111344],"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":[0.000008406847,0.00004166919,0.002721908,0.001127626,0.0001932598,0.00009871426,0.001194804,0.003167491,0.0001744929,0.01150154,0.02843226,0.9513378],"study_design_scores_gemma":[0.0001560709,0.00002142651,0.0005080765,0.00313549,0.00003140867,4.525037e-7,0.009010513,0.0001106665,0.0002761098,0.0001127555,0.9862648,0.0003722848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03460736,0.9471975,0.0004081069,0.003381691,0.004735059,0.0008199405,0.00001325009,0.00004603211,0.008791084],"genre_scores_gemma":[0.5675058,0.4285595,0.0001512012,0.001724771,0.0004003073,0.0002595148,9.374849e-7,0.00001926084,0.001378717],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9578325,"threshold_uncertainty_score":0.9624254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W196070768","doi":"10.15173/esr.v13i1.470","title":"California's Soft Renewable Portfolio Standard","year":2004,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Renewable energy; Renewable portfolio standard; Portfolio; Renewable resource; Economics; Natural resource economics; Restructuring; Environmental economics; Electricity; Business; Industrial organization; Feed-in tariff; Energy policy; Engineering; Finance","authors":[{"name":"Asbjorn Moseidjord","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01242874271566115,"gpt":0.2419952750571553,"spread":0.2295665323414942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964126,0.0001914402,0.0004948361,0.00005177253,0.00007270285,0.00001094072,0.0001135846,0.00003996983,0.0000572859],"category_scores_gemma":[0.000093657,0.0001650516,0.00008116866,0.0004553958,0.00002025487,0.00007432577,0.00003297532,0.00005778327,0.00004560914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104778,"about_ca_system_score_gemma":0.0000355717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004442487,"about_ca_topic_score_gemma":0.00008270666,"domain_scores_codex":[0.9989491,0.00002456273,0.0003798047,0.0001717581,0.0002017164,0.000273078],"domain_scores_gemma":[0.9995015,0.00002343179,0.00005662122,0.0002594704,0.0001004785,0.00005849461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005743633,0.00002673577,0.00004046931,0.006271841,0.0008631668,0.00006703972,0.0001097903,0.5679371,0.00004268068,0.002899655,0.3659776,0.05575818],"study_design_scores_gemma":[0.0002347057,0.00003401113,0.000002329953,0.002060313,0.00008295436,0.00002112864,0.00001272444,0.0002094113,0.0005497373,0.0003939976,0.9961489,0.0002498314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001743511,0.8993862,0.08135192,0.0002806147,0.0004125825,0.0001383822,0.00001001997,0.0004024756,0.01800034],"genre_scores_gemma":[0.01863676,0.9772089,0.002001067,0.000679219,0.0001345326,0.0001369884,0.0000220227,0.00006080664,0.001119681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6301712,"threshold_uncertainty_score":0.6730609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586894022","doi":"10.15173/esr.v20i2.549","title":"A note on the induced effects of carbon prices and R&D subsidies in carbon-free technologies","year":2014,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Subsidy; Externality; Order (exchange); Damages; Economics; Consumption (sociology); Action (physics); Production (economics); Natural resource economics; Microeconomics; Climate change; Public economics; Environmental economics; Market economy; Ecology; Finance","authors":[{"name":"Gilles Lafforgue","is_ca":false},{"name":"Nathalie Taverdet-Popiolek","is_ca":false},{"name":"Anton Berwald","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1042202896044418,"gpt":0.2823158071863445,"spread":0.1780955175819027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218253,0.000174566,0.0007955356,0.0001421004,0.00004104545,0.000008165441,0.000251694,0.00007041317,0.000002565677],"category_scores_gemma":[0.002030767,0.0001332814,0.00006323814,0.0002179589,0.0001254826,0.00003125194,0.0002688475,0.0001068425,0.000003708933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005447929,"about_ca_system_score_gemma":0.000003408474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006943853,"about_ca_topic_score_gemma":0.001666555,"domain_scores_codex":[0.9989749,0.00002865209,0.0004882775,0.0002724246,0.00002221379,0.000213569],"domain_scores_gemma":[0.9984799,0.0006501095,0.0003422781,0.0004975596,0.00001515876,0.00001497452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002543639,0.0001447507,0.01442386,0.01107221,0.0004455592,0.000002564486,0.00346266,0.00001075106,0.00007568702,0.9311538,0.001650421,0.03753227],"study_design_scores_gemma":[0.003514653,0.001222854,0.03964967,0.01680062,0.0002421996,0.00001195659,0.001860557,0.0008482041,0.005649446,0.4312969,0.4961524,0.002750475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4254625,0.5586747,0.00000201875,0.006377321,0.0002353491,0.0002024923,0.000008357501,0.00003231743,0.009004966],"genre_scores_gemma":[0.5054929,0.4937368,0.000028493,0.0005490917,0.00003537783,0.0001139704,8.0393e-7,0.00001037049,0.00003219497],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4998569,"threshold_uncertainty_score":0.5435056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}