{"meta":{"query_hash":"bb1efdaded6a","filters":{"venue":"Energy Policy"},"cohort_total":211,"direct_labels_cover":0,"predictions_cover":211,"exported":211,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/bb1efdaded6a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Energy+Policy"},"results":[{"id":"W1527069371","doi":"10.1016/j.enpol.2007.10.036","title":"","year":2008,"lang":"en","type":"article","venue":"Energy Policy","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Innovation Council; University of British Columbia","funders":"","keywords":"Political science","score_opus":0.023551949836053788,"score_gpt":0.2622702651593624,"score_spread":0.23871831532330862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527069371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728306,0.00013457009,0.00024871863,0.002369291,0.000069312024,0.000039265142,0.000026403357,0.0011053801,0.023176478],"genre_scores_gemma":[0.9868299,0.00007627102,0.0005957346,0.005007164,0.0024174605,0.000068803354,0.000027246884,0.0001953204,0.004782097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710584,0.00020609642,0.00039698303,0.0005131549,0.00057261804,0.0012053159],"domain_scores_gemma":[0.99814886,0.00008329476,0.00014484655,0.00096646784,0.00010058909,0.0005559378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013926304,0.0003601078,0.0003385034,0.0008989867,0.0005938815,0.000023188208,0.00057820673,0.00012077115,0.00003365812],"category_scores_gemma":[0.0004179262,0.00036045912,0.000188226,0.0022341073,0.000439208,0.0005051554,0.00019129593,0.00013814674,0.0007767149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016772498,0.00040346564,0.01949964,0.0000028248257,0.000102995466,0.0005426241,0.0035975175,0.0060068658,0.098992296,0.8453828,0.022464672,0.0028365818],"study_design_scores_gemma":[0.0039235908,0.00023694253,0.30516434,0.000013418897,0.000017633141,0.002713238,0.00009007047,0.0006343048,0.16861996,0.011631378,0.5057198,0.001235341],"about_ca_topic_score_codex":0.06514965,"about_ca_topic_score_gemma":0.0011780895,"teacher_disagreement_score":0.83375144,"about_ca_system_score_codex":0.00038464385,"about_ca_system_score_gemma":0.0005188339,"threshold_uncertainty_score":0.9998847},"labels":[],"label_agreement":null},{"id":"W1558839991","doi":"10.1016/j.enpol.2004.08.003","title":"Corrigendum to “Consumer lifestyles approach to US energy use and the related CO2 emissions”","year":2004,"lang":"en","type":"erratum","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental economics; Energy (signal processing); Natural resource economics; Economics; Environmental science; Physics","score_opus":0.017208519518633614,"score_gpt":0.23159735966667747,"score_spread":0.21438884014804385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558839991","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060432334,0.011479438,0.003156808,0.012754436,0.029591506,0.001106969,0.0010493762,0.0014026838,0.93341553],"genre_scores_gemma":[0.05153696,0.008739831,0.00077974994,0.017648583,0.0028373464,0.00057758304,0.002257523,0.00040789592,0.91521454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99537915,0.00037527134,0.0010723792,0.0012378473,0.00076346553,0.0011718888],"domain_scores_gemma":[0.9967242,0.00014212223,0.000409249,0.0015263599,0.00013912434,0.0010589693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022890784,0.001117732,0.0011237967,0.0009332296,0.00060907635,0.00025845272,0.0008483344,0.0011567175,0.0001509489],"category_scores_gemma":[0.0004866006,0.0008564807,0.00031919105,0.001514872,0.0005939092,0.00021323157,0.00024260824,0.00074546074,0.00008828243],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080391714,0.00014752903,0.00005394634,0.000026792906,0.00033207863,0.00001708569,0.0012512829,0.017481038,0.00002804624,0.6187073,0.36086732,0.0010072155],"study_design_scores_gemma":[0.0014776478,0.00006217416,0.0028797656,0.00015605283,0.00021729138,0.000039826777,0.0000952933,0.0001429854,0.00021183603,0.0028002048,0.9909086,0.0010083077],"about_ca_topic_score_codex":0.20699869,"about_ca_topic_score_gemma":0.010249944,"teacher_disagreement_score":0.6300413,"about_ca_system_score_codex":0.00033298513,"about_ca_system_score_gemma":0.0007135266,"threshold_uncertainty_score":0.9993886},"labels":[],"label_agreement":null},{"id":"W1966990634","doi":"10.1016/j.enpol.2010.03.004","title":"The large-scale integration of wind generation: Impacts on price, reliability and dispatchable conventional suppliers","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dispatchable generation; Wind power; Electricity market; Electricity; Electricity generation; Residual; Reliability (semiconductor); Reliability engineering; Economics; Renewable energy; Distributed generation; Engineering; Power (physics); Computer science; Electrical engineering","score_opus":0.0039944788791157785,"score_gpt":0.2137128345674377,"score_spread":0.20971835568832192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966990634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89515966,0.0002442087,0.08470097,0.001031634,0.0010893829,0.00024633066,0.000043609074,0.00014976681,0.017334446],"genre_scores_gemma":[0.998361,0.00009686058,0.00061215844,0.000037913294,0.00030269552,0.000013240292,0.000043686305,0.000015619715,0.0005168616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999342,0.000028981825,0.0002004793,0.000114795606,0.00013551879,0.00017821869],"domain_scores_gemma":[0.99954915,0.00006302385,0.00005080291,0.0002194469,0.00005550833,0.00006204866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023696387,0.000095791045,0.00009442596,0.00007695587,0.00010854009,0.000034075634,0.00007492865,0.0000820742,0.000020680927],"category_scores_gemma":[0.00009639231,0.000073395415,0.00002903371,0.00021520024,0.00003812233,0.000105749,0.0000127079475,0.000111099456,0.0000022529207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060518352,0.00019207917,0.0027813928,0.000095059375,0.00011369978,9.834871e-7,0.0014326731,0.24699613,0.18686077,0.528526,0.024606625,0.008334067],"study_design_scores_gemma":[0.0008747515,0.00013403723,0.012531525,0.000027842314,0.000016497674,0.00001192525,0.00005182563,0.8211538,0.1075762,0.0017200967,0.05559485,0.00030660554],"about_ca_topic_score_codex":0.00014846206,"about_ca_topic_score_gemma":0.00047588174,"teacher_disagreement_score":0.5741577,"about_ca_system_score_codex":0.00005730193,"about_ca_system_score_gemma":0.000048505935,"threshold_uncertainty_score":0.2992978},"labels":[],"label_agreement":null},{"id":"W1967471444","doi":"10.1016/j.enpol.2011.06.030","title":"Three dimensional energy profile:","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":328,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Context (archaeology); Energy (signal processing); Cornerstone; Population; Developing country; Rural area; Business; Energy engineering; Order (exchange); Energy policy; Environmental economics; Economic growth; Efficient energy use; Economics; Public economics; Geography; Engineering; Renewable energy; Political science; Sociology","score_opus":0.01795628447478307,"score_gpt":0.20779883850636346,"score_spread":0.1898425540315804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967471444","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3084886,0.000084548614,0.003197801,0.0003970905,0.0002638023,0.00004342981,0.000009442294,0.00018230907,0.6873329],"genre_scores_gemma":[0.9839111,0.000026104186,0.0023013074,0.0025481859,0.00024318133,0.000026565835,0.000017071643,0.000032184227,0.010894314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986457,0.000032512424,0.00017909917,0.00033404693,0.0003076886,0.000500949],"domain_scores_gemma":[0.9992403,0.000019192163,0.0000660293,0.00039920234,0.0000021962617,0.00027307984],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007720966,0.00021133765,0.00013549885,0.00006534518,0.00015017104,0.00001034266,0.0002911655,0.000114923445,0.013086871],"category_scores_gemma":[0.000020245321,0.0001823685,0.00007351975,0.00025718115,0.00023065881,0.00022969305,0.00030250868,0.000074247466,0.00080604054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017491996,0.0009901468,0.03605361,0.0000052791543,0.00012065283,0.00013476286,0.0006796989,0.014287931,0.014018955,0.69570327,0.07856521,0.15926556],"study_design_scores_gemma":[0.0010160882,0.0004661282,0.40024802,0.000020227177,0.000033644887,0.00008658307,0.000018023416,0.0012136635,0.0619288,0.077843964,0.45594072,0.001184131],"about_ca_topic_score_codex":0.020173369,"about_ca_topic_score_gemma":0.0015397914,"teacher_disagreement_score":0.6764386,"about_ca_system_score_codex":0.00014188499,"about_ca_system_score_gemma":0.000021485983,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W1967793059","doi":"10.1016/j.enpol.2011.03.037","title":"Land use and second-generation biofuel feedstocks: The unconsidered impacts of Jatropha biodiesel in Rajasthan, India","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"AUTO21 Network of Centres of Excellence; BAIF Development Research Foundation","keywords":"Jatropha; Biofuel; Deforestation (computer science); Agricultural economics; Land use; Agroforestry; Livelihood; Natural resource economics; Business; Biodiesel; Agriculture; Environmental science; Economics; Geography; Engineering; Waste management","score_opus":0.028872107814791704,"score_gpt":0.21002384070183613,"score_spread":0.18115173288704442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967793059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982005,0.00055859756,0.000018052302,0.00017722436,0.0001738105,0.000061725834,0.000017420294,0.00004261963,0.00075004844],"genre_scores_gemma":[0.9988527,0.00041437877,0.00013785892,0.00019370204,0.00018996223,0.0000053045924,0.000010431309,0.0000125861625,0.0001830581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945873,0.000035871806,0.00016584106,0.00011740653,0.000059415383,0.00016275229],"domain_scores_gemma":[0.9996985,0.000015471862,0.00003762499,0.00016810055,0.000023415538,0.00005686096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008146766,0.00011187372,0.00011376617,0.0002305626,0.000036581994,0.000020729649,0.00006196547,0.000093098424,0.000058035544],"category_scores_gemma":[0.00003054613,0.00008163774,0.000026329224,0.00023037432,0.00007408867,0.000170963,0.00002843661,0.00007803999,0.000004415216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015050797,0.0001844247,0.1483201,0.00040273156,0.0002495433,0.000016434795,0.010295163,0.00037132733,0.80226254,0.0054679583,0.01746638,0.014812914],"study_design_scores_gemma":[0.001807833,0.0001618929,0.41637,0.000037649683,0.000022185017,0.00004812051,0.0002559975,0.0015019741,0.5531553,0.0009408174,0.025236893,0.00046132188],"about_ca_topic_score_codex":0.003992954,"about_ca_topic_score_gemma":0.0017827507,"teacher_disagreement_score":0.26804993,"about_ca_system_score_codex":0.000031753727,"about_ca_system_score_gemma":0.00003008701,"threshold_uncertainty_score":0.60361785},"labels":[],"label_agreement":null},{"id":"W1971181739","doi":"10.1016/j.enpol.2013.06.050","title":"A case-control study of support/opposition to wind turbines: Perceptions of health risk, economic benefits, and community conflict","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Western University","funders":"","keywords":"Opposition (politics); Risk perception; Context (archaeology); Technocracy; Perception; Public economics; Control (management); Wind power; Business; Economics; Psychology; Political science; Engineering; Politics; Geography","score_opus":0.028217358722100034,"score_gpt":0.31727653021098684,"score_spread":0.2890591714888868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971181739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963744,0.000095564836,0.00003799844,0.00083777873,0.00008794303,0.0003671003,0.00011162864,0.000035669498,0.0020518978],"genre_scores_gemma":[0.99868006,0.0002670391,0.0000914591,0.00036960116,0.0002969938,0.0000535253,0.000006381122,0.00001742375,0.00021752555],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99731785,0.0015288359,0.00046110785,0.00017802753,0.00017442367,0.0003397559],"domain_scores_gemma":[0.9986337,0.00033287035,0.00036535106,0.00030155136,0.00012344863,0.00024312024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008531991,0.00014433773,0.0004224883,0.0002463289,0.0010086644,0.000044638728,0.00024070154,0.0000962522,0.00036437582],"category_scores_gemma":[0.00020171331,0.000153857,0.00006760287,0.0002905216,0.00022270228,0.00024292676,0.00006910045,0.00014091795,0.000007326221],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052367956,0.0013401083,0.0620609,0.000028813529,0.00029323416,0.000004946447,0.31412706,0.016277656,0.00029679624,0.03806523,0.0024352593,0.56501764],"study_design_scores_gemma":[0.0029329197,0.002522809,0.38297948,0.00005067238,0.00009552042,0.000025733214,0.6068541,0.00015286039,0.0000995305,0.0016246047,0.002138984,0.00052280625],"about_ca_topic_score_codex":0.9163696,"about_ca_topic_score_gemma":0.48553446,"teacher_disagreement_score":0.5644948,"about_ca_system_score_codex":0.00025471108,"about_ca_system_score_gemma":0.00039268497,"threshold_uncertainty_score":0.77579325},"labels":[],"label_agreement":null},{"id":"W1971410727","doi":"10.1016/j.enpol.2012.08.059","title":"The policy responses to the Fukushima nuclear accident and their effect on Japanese energy security","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy Security and Policy","field":"Energy","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy security; Accident (philosophy); Government (linguistics); Futures contract; Business; Electricity; Nuclear power; Energy policy; Nuclear power plant; Economy; Economic policy; Finance; Engineering; Economics; Renewable energy","score_opus":0.008268583391093041,"score_gpt":0.2590479857294293,"score_spread":0.25077940233833623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971410727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7192017,0.0025772667,0.000004634043,0.051580872,0.0009352841,0.0002140761,0.000069521135,0.000408701,0.22500798],"genre_scores_gemma":[0.96315986,0.00072714326,0.000005107381,0.02369974,0.0066271634,0.00012151272,0.000015726317,0.000112890346,0.0055308794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99549156,0.0014073894,0.0004601362,0.00051778916,0.00046045202,0.0016626606],"domain_scores_gemma":[0.99598676,0.0015136558,0.00016810665,0.0014450015,0.00007017097,0.0008163268],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009005248,0.0006906361,0.00047353216,0.00041280815,0.0013842589,0.0003212094,0.001113409,0.00030678298,0.000060370126],"category_scores_gemma":[0.001245836,0.0003822023,0.000291677,0.0011651715,0.00033353316,0.0002679743,0.0006575335,0.00035239852,0.0002136181],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005138435,0.000085901665,0.000048085258,0.0000053924236,0.000112149086,0.00000358737,0.0052446816,0.00031875417,0.00027769303,0.9419321,0.00924862,0.042209234],"study_design_scores_gemma":[0.00047833676,0.00042593657,0.0023347999,0.00002586743,0.000021272474,0.000088057255,0.00033897508,0.000045586195,0.003677353,0.009459951,0.9826531,0.000450784],"about_ca_topic_score_codex":0.16265932,"about_ca_topic_score_gemma":0.01771759,"teacher_disagreement_score":0.97340447,"about_ca_system_score_codex":0.0003084754,"about_ca_system_score_gemma":0.00015800209,"threshold_uncertainty_score":0.9999158},"labels":[],"label_agreement":null},{"id":"W1981847697","doi":"10.1016/j.enpol.2006.01.009","title":"What factors influence mitigative capacity?","year":2006,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Government (linguistics); Work (physics); Politics; Greenhouse gas; Capacity building; Business; Environmental economics; Natural resource economics; Engineering; Economics; Economic growth; Political science","score_opus":0.05345318469481806,"score_gpt":0.230770509533246,"score_spread":0.17731732483842794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981847697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94311947,0.00058075826,0.00010436966,0.0019037728,0.00041390408,0.000043770542,0.00024026127,0.00006597511,0.05352773],"genre_scores_gemma":[0.9927346,0.00062903855,0.00009317186,0.0017672299,0.00079087977,0.000021491105,0.000062701394,0.000033793534,0.003867055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986336,0.000010602663,0.0004916473,0.00036172863,0.000022698987,0.00047972464],"domain_scores_gemma":[0.99921995,0.000061769126,0.00026759907,0.00032226753,0.000018892402,0.00010952291],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010989162,0.00020945485,0.000338481,0.00037669155,0.00013654088,0.00020842967,0.00023402754,0.0001330746,0.00024006491],"category_scores_gemma":[0.0000744152,0.00025026628,0.00013204059,0.00028285437,0.00013319295,0.00095474767,0.000069654605,0.00009854997,0.0004717824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023371183,0.000034098135,0.013248064,0.0000068205118,0.000017088993,0.0000013697561,0.00074743654,0.00049107894,0.000042348645,0.98448056,0.0008403525,0.00008844686],"study_design_scores_gemma":[0.00047453187,0.000041768642,0.063145705,0.00002615459,0.0000040190926,0.000007785931,0.00036492335,0.0004334508,0.0038244138,0.68918383,0.24183723,0.0006561806],"about_ca_topic_score_codex":0.045684785,"about_ca_topic_score_gemma":0.0015925597,"teacher_disagreement_score":0.29529673,"about_ca_system_score_codex":0.00024270108,"about_ca_system_score_gemma":0.000021241229,"threshold_uncertainty_score":0.99999493},"labels":[],"label_agreement":null},{"id":"W1982575382","doi":"10.1016/j.enpol.2008.01.004","title":"Stakeholders’ perspectives on barriers to remote wind–diesel power plants in Canada","year":2008,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Université du Québec à Rimouski; Pembina Institute","funders":"","keywords":"Incentive; Wind power; Diesel fuel; Environmental economics; Business; Capital cost; Engineering; Environmental resource management; Economics; Waste management","score_opus":0.0330230028286216,"score_gpt":0.27762792588795276,"score_spread":0.24460492305933118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982575382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82588196,0.00013349093,0.000011183382,0.004654813,0.00039147818,0.000075872886,0.000016312191,0.000057115496,0.1687778],"genre_scores_gemma":[0.9864698,0.00043018043,0.00009955689,0.003578425,0.000705214,0.0000059492895,0.0000020691425,0.000029022887,0.008679756],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99766,0.0001947544,0.00020202048,0.0004032694,0.0007189757,0.0008209715],"domain_scores_gemma":[0.9988059,0.00012767999,0.00006946267,0.00025476716,0.00006361778,0.00067861687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016205799,0.00019998632,0.0002610717,0.0003046206,0.0006538061,0.00002807628,0.00045193353,0.000108278175,0.0003850044],"category_scores_gemma":[0.0011000192,0.00021846962,0.000060250753,0.00093495555,0.00020465365,0.00015023838,0.000048890965,0.00013582311,0.000012205943],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026915295,0.00012436883,0.011236004,0.0000044067183,0.00013795143,0.00075158384,0.4302613,0.025781116,0.00030480197,0.34935686,0.13066365,0.05110877],"study_design_scores_gemma":[0.00070557266,0.00009261178,0.01801053,0.000046522793,0.00000298836,0.000004171711,0.57236785,0.000021147991,0.0006826161,0.0018783382,0.40547168,0.0007159655],"about_ca_topic_score_codex":0.99829334,"about_ca_topic_score_gemma":0.99829805,"teacher_disagreement_score":0.34747854,"about_ca_system_score_codex":0.0036434918,"about_ca_system_score_gemma":0.008218797,"threshold_uncertainty_score":0.9974037},"labels":[],"label_agreement":null},{"id":"W1983577827","doi":"10.1016/j.enpol.2010.12.012","title":"Optimal solar-PV tilt angle and azimuth: An Ontario (Canada) case-study","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Azimuth; Tilt (camera); Latitude; Photovoltaic system; Revenue; Electricity; Meteorology; Environmental science; Geography; Geodesy; Economics; Engineering; Physics; Electrical engineering; Finance","score_opus":0.031706550162412486,"score_gpt":0.23635618943304812,"score_spread":0.20464963927063562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983577827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847838,0.000028637256,0.006756795,0.0001038126,0.00023982262,0.00006926772,0.0000037572324,0.00009011732,0.007923964],"genre_scores_gemma":[0.99320436,0.000002230528,0.004297371,0.0011821904,0.00015039735,0.0000093110675,0.0000023047567,0.000011229436,0.0011405977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990071,0.00007060288,0.0001491792,0.00031316813,0.00019083249,0.00026912842],"domain_scores_gemma":[0.99912137,0.000022785827,0.000053537955,0.00050193514,0.000041265543,0.0002590871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010922261,0.00013701466,0.00012343148,0.00011183206,0.0001982045,0.000092140406,0.00036552054,0.000050478113,0.000066957306],"category_scores_gemma":[0.000016051363,0.00013649747,0.000022868762,0.00023560795,0.000025328824,0.00034706297,0.0001468701,0.00010419029,0.0000031964628],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009529843,0.0028539507,0.1981056,0.000019637531,0.00039672505,0.015013812,0.31365186,0.0013552908,0.00054205046,0.3402923,0.018734815,0.108938664],"study_design_scores_gemma":[0.0058518616,0.0038404968,0.4252311,0.00002050599,0.000093266295,0.009874257,0.0064809085,0.14732195,0.010875957,0.004745071,0.38239416,0.003270466],"about_ca_topic_score_codex":0.9899297,"about_ca_topic_score_gemma":0.9883871,"teacher_disagreement_score":0.36365935,"about_ca_system_score_codex":0.0001376075,"about_ca_system_score_gemma":0.00087012746,"threshold_uncertainty_score":0.55662054},"labels":[],"label_agreement":null},{"id":"W1983584340","doi":"10.1016/s0301-4215(03)00210-6","title":"Consumer lifestyle approach to US energy use and the related CO2 emissions","year":2003,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":675,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University; National Science Foundation","keywords":"Greenhouse gas; Environmental economics; Efficient energy use; Energy (signal processing); Consumer behaviour; Business; Clothing; Categorization; Economics; Natural resource economics; Public economics; Marketing; Engineering; Computer science; Ecology","score_opus":0.012809315816055947,"score_gpt":0.22535503535767715,"score_spread":0.21254571954162121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983584340","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36521885,0.0017486422,0.0029274079,0.0034348893,0.00036946035,0.00021195173,0.000060191836,0.00041155363,0.6256171],"genre_scores_gemma":[0.9500743,0.0013143544,0.00060531334,0.006191177,0.00012728051,0.00012097756,0.00006818427,0.00007385466,0.041424546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979544,0.00034599268,0.00044745364,0.0004429102,0.00027016804,0.00053906284],"domain_scores_gemma":[0.998529,0.00028150785,0.00012263149,0.00062696094,0.00003390784,0.0004060021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018849064,0.00033582415,0.0003408644,0.0002354704,0.00038044082,0.00008950133,0.00021626802,0.00019777511,0.00012854754],"category_scores_gemma":[0.00027329085,0.00024592056,0.00012980873,0.00054347934,0.00042704318,0.00017104406,0.000040906227,0.0001471577,0.000026469079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003009178,0.000096153955,0.000912949,0.0000036194772,0.00011468766,0.0000037311484,0.00076676015,0.021731904,0.00030684122,0.9736578,0.0018723612,0.00050311297],"study_design_scores_gemma":[0.0018916093,0.000024810268,0.006485989,0.000012352363,0.00007095017,0.000037645066,0.00013995054,0.00031475688,0.0029141984,0.009064037,0.97865504,0.0003886425],"about_ca_topic_score_codex":0.04117106,"about_ca_topic_score_gemma":0.0012955244,"teacher_disagreement_score":0.9767827,"about_ca_system_score_codex":0.000053661835,"about_ca_system_score_gemma":0.000089409965,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W1988173520","doi":"10.1016/j.enpol.2011.03.056","title":"An assessment of factors impacting Canada's electricity sector's GHG emissions","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Greenhouse gas; Electricity; Renewable energy; Incentive; Portfolio; Electricity generation; Natural resource economics; Climate change; Renewable portfolio standard; Energy policy; Economics; Business; Environmental economics; Feed-in tariff; Engineering; Finance; Market economy","score_opus":0.015167989193537765,"score_gpt":0.2880024023968833,"score_spread":0.2728344132033455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988173520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585429,0.000004796282,0.000255438,0.00003785171,0.000035903555,0.000052338793,0.000013847594,0.000022487284,0.041034438],"genre_scores_gemma":[0.9989773,0.0000057921775,0.00040614564,0.00016223788,0.00003910044,0.0000041853255,0.000009379175,0.000016043527,0.0003798255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986844,0.00010208581,0.00022190913,0.00023631031,0.00031269624,0.00044257662],"domain_scores_gemma":[0.9990962,0.000034195335,0.000117335825,0.0003765671,0.000004696382,0.00037096287],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013256744,0.0001691072,0.00017268254,0.000047718302,0.00014838169,0.000008103496,0.00026405702,0.0000640954,0.0024687885],"category_scores_gemma":[0.0000671938,0.00014134671,0.00005749512,0.00029901098,0.00011564503,0.0002120115,0.000109945635,0.00011571682,0.0000011620155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064383466,0.00024333523,0.9754809,0.0000040629748,0.000014120778,0.0000045457637,0.00076304964,0.00051929627,0.019435914,0.00081486226,0.00029655636,0.0024169146],"study_design_scores_gemma":[0.00009891742,0.00011716275,0.955424,0.000001958347,0.000007255085,0.0000018750862,0.00039465894,0.0004408395,0.041864008,0.0004821478,0.0010078014,0.00015933959],"about_ca_topic_score_codex":0.9578571,"about_ca_topic_score_gemma":0.36016166,"teacher_disagreement_score":0.5976954,"about_ca_system_score_codex":0.0015070684,"about_ca_system_score_gemma":0.00028591443,"threshold_uncertainty_score":0.99844307},"labels":[],"label_agreement":null},{"id":"W1989128939","doi":"10.1016/j.enpol.2010.07.027","title":"Power sector reform in Maharashtra, India","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Power; Canada Excellence Research Chairs, Government of Canada","keywords":"Tariff; Restructuring; Scope (computer science); Electricity; Context (archaeology); Business; Electric power industry; Electric power distribution; Distribution (mathematics); Scarcity; Mains electricity; Industrial organization; Economics; Finance; Power (physics); Engineering; Market economy; International trade","score_opus":0.002459259940806522,"score_gpt":0.1893973282938608,"score_spread":0.18693806835305427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989128939","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42894152,0.00013973829,0.0023132104,0.00017528833,0.0012660044,0.000090048765,0.00000788283,0.0005598288,0.56650645],"genre_scores_gemma":[0.9980564,0.000020907557,0.00033201222,0.000113287504,0.00028285163,0.000021740947,0.000009402598,0.000042911473,0.0011204887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992917,0.000011176372,0.0001817416,0.00011553498,0.00009883361,0.00030098844],"domain_scores_gemma":[0.99964195,0.000012223975,0.000021022362,0.00023747193,0.000013482912,0.00007382528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007149929,0.000120943696,0.000119167395,0.00037880824,0.000017359534,0.000020994827,0.00014461338,0.00014137929,0.00015479284],"category_scores_gemma":[0.00002355259,0.00012198811,0.000027845139,0.00057344604,0.000010508591,0.00012483107,0.00001443166,0.0001918265,0.000049527476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003084097,0.00021018977,0.010065593,0.0001343452,0.00017920666,0.00010979186,0.0040760487,0.05863393,0.14190279,0.75028086,0.014516311,0.019860115],"study_design_scores_gemma":[0.003783842,0.00022240356,0.18370269,0.00013688505,0.000018903665,0.0002485631,0.000111852765,0.09435813,0.141813,0.004039249,0.56866604,0.002898432],"about_ca_topic_score_codex":0.0011023423,"about_ca_topic_score_gemma":0.00074649503,"teacher_disagreement_score":0.74624157,"about_ca_system_score_codex":0.00024820265,"about_ca_system_score_gemma":0.0000468205,"threshold_uncertainty_score":0.49745306},"labels":[],"label_agreement":null},{"id":"W1989498659","doi":"10.1016/j.enpol.2009.02.037","title":"No substitute for oil? How Brazil developed its ethanol industry","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":217,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biofuel; Renewable energy; Fossil fuel; Petroleum; Agriculture; Natural resource economics; Renewable fuels; Energy policy; Business; Economics; Scale (ratio); Agricultural economics; Engineering; Waste management; Ecology; Geography","score_opus":0.04234479471161402,"score_gpt":0.2657991847864237,"score_spread":0.22345439007480972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989498659","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25424564,0.0012600824,0.0009883847,0.028110188,0.0012273171,0.00014823179,0.00064697367,0.0002205108,0.71315265],"genre_scores_gemma":[0.8152269,0.00026537623,0.00048945926,0.009696193,0.0023535185,0.000044059958,0.000045388548,0.00003640355,0.17184268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851745,0.000017350709,0.00043945652,0.00043323907,0.000014123543,0.0005783716],"domain_scores_gemma":[0.99901825,0.00007394824,0.0002844933,0.00038818226,0.000039877144,0.00019522198],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003053816,0.00024836263,0.00042332217,0.0003942702,0.0001686936,0.00010960775,0.00040243834,0.00044415277,0.00032959625],"category_scores_gemma":[0.00035169776,0.00030203798,0.00016283373,0.0002500879,0.000047660717,0.0003760898,0.000040442053,0.00023174449,0.0009321759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002769272,0.000031033735,0.00016598428,0.000011100678,0.000035494766,0.0000015165814,0.0001346633,0.000055771077,0.00009389804,0.9839479,0.0071925935,0.008302365],"study_design_scores_gemma":[0.000807044,0.00006869718,0.0011689325,0.000010953636,0.0000038275157,0.000007447408,0.0000059337017,0.00017472438,0.003794544,0.14457272,0.8489609,0.0004243016],"about_ca_topic_score_codex":0.00030880174,"about_ca_topic_score_gemma":0.000054266562,"teacher_disagreement_score":0.84176826,"about_ca_system_score_codex":0.00015250951,"about_ca_system_score_gemma":0.0001406434,"threshold_uncertainty_score":0.9999432},"labels":[],"label_agreement":null},{"id":"W1989764955","doi":"10.1016/j.enpol.2012.04.010","title":"“Greenwashing gas: Might a ‘transition fuel’ label legitimize carbon-intensive natural gas development?”","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Oceanic and Atmospheric Administration; Carbon Management Canada; University of Pittsburgh","keywords":"Natural gas; Greenhouse gas; Framing (construction); Climate change; Natural resource economics; Energy transition; Environmental science; Engineering; Economics; Waste management; Ecology; Civil engineering","score_opus":0.007109648196748359,"score_gpt":0.20372757293194974,"score_spread":0.19661792473520137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989764955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96843076,0.00035150748,0.0027764488,0.0014935185,0.0003441281,0.00010989898,0.000003406986,0.00012468662,0.02636562],"genre_scores_gemma":[0.975498,0.00010460897,0.0148851015,0.004913395,0.00041370204,0.00003099088,0.00003059752,0.000049138354,0.004074454],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981744,0.00005984067,0.00026773888,0.00032986744,0.00037035526,0.0007977767],"domain_scores_gemma":[0.99932194,0.000029613173,0.00009892174,0.0002522586,0.0000072248804,0.00029006158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011412464,0.00030471856,0.00021563478,0.000022273045,0.00017860346,0.000027982822,0.00023898802,0.00012487879,0.00036929897],"category_scores_gemma":[0.000025864172,0.00028530622,0.00007305453,0.00027516385,0.00023419439,0.00059055246,0.00021565947,0.00019011155,0.000158524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067687687,0.002470203,0.122946054,0.00014872,0.0008812849,0.00027964835,0.07429222,0.15242217,0.06657558,0.022261351,0.013251569,0.54379433],"study_design_scores_gemma":[0.007273856,0.00036374855,0.14386071,0.00024222981,0.00027799633,0.00082975597,0.008205495,0.14761263,0.021565119,0.003978461,0.6597435,0.006046499],"about_ca_topic_score_codex":0.0040327334,"about_ca_topic_score_gemma":0.00025721514,"teacher_disagreement_score":0.64649194,"about_ca_system_score_codex":0.000730079,"about_ca_system_score_gemma":0.000024685494,"threshold_uncertainty_score":0.9999599},"labels":[],"label_agreement":null},{"id":"W1990574137","doi":"10.1016/s0301-4215(02)00090-3","title":"Ethical dilemmas and the decision-making process. Is a consensus realistic?","year":2002,"lang":"en","type":"article","venue":"Energy Policy","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Prudence; Stewardship (theology); Economic Justice; Process (computing); Political science; Engineering ethics; Hydropower; Management science; Sociology; Business; Law; Economics; Engineering; Computer science; Politics; Epistemology","score_opus":0.026410999708685733,"score_gpt":0.4202827060867899,"score_spread":0.3938717063781042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990574137","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38392377,0.00092564436,0.0006669255,0.12696561,0.00026333157,0.00038433974,0.00005279444,0.00015256072,0.48666504],"genre_scores_gemma":[0.9877588,0.00041993218,0.00011544681,0.00935511,0.0003573593,0.00001470294,8.3772125e-7,0.00001610554,0.0019616853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983411,0.00031054142,0.00020319257,0.00023842628,0.0004991185,0.00040762074],"domain_scores_gemma":[0.9985953,0.0008910538,0.00009652193,0.00022055447,0.00001728505,0.00017927922],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005596646,0.00013280567,0.0001635066,0.000066747205,0.00064410944,0.00012098528,0.00022754898,0.00018003782,0.00127886],"category_scores_gemma":[0.0019687815,0.00009493974,0.000056071036,0.00028186143,0.0014997477,0.000058216065,0.000084894185,0.00022065277,0.00006402599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011774792,0.00010218609,0.00055474526,0.000008298786,0.00005975495,0.00003287035,0.047644727,0.00014607201,0.000026348074,0.8859684,0.032491352,0.032847516],"study_design_scores_gemma":[0.0033590905,0.0001341284,0.0013861455,0.00018998438,0.0000936601,0.000052390464,0.006865256,0.0053667384,0.0001618989,0.17287153,0.8087436,0.0007755875],"about_ca_topic_score_codex":0.013684558,"about_ca_topic_score_gemma":0.0014308068,"teacher_disagreement_score":0.77625227,"about_ca_system_score_codex":0.00014631246,"about_ca_system_score_gemma":0.00006708494,"threshold_uncertainty_score":0.9996341},"labels":[],"label_agreement":null},{"id":"W1990802248","doi":"10.1016/j.enpol.2010.12.048","title":"Regulatory, design and methodological impacts in determining tidal-in-stream power resource potential","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BC Hydro","keywords":"Tidal power; Resource (disambiguation); Environmental science; Electricity generation; Flow (mathematics); Electricity; Turbine; Environmental economics; Power (physics); Environmental resource management; Computer science; Economics; Mechanics; Engineering; Physics; Marine engineering","score_opus":0.04375626752888589,"score_gpt":0.26952098400341257,"score_spread":0.22576471647452667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990802248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256194,0.000022482216,0.0013076629,0.00042861074,0.000036145906,0.000077387,3.904459e-7,0.000039460454,0.07246846],"genre_scores_gemma":[0.992807,0.000036422458,0.0053491467,0.0011491539,0.000022208693,0.000016091843,4.9031974e-7,0.000007744534,0.00061176455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890643,0.0002671246,0.00015395101,0.00026112623,0.00007660551,0.0003347439],"domain_scores_gemma":[0.99966085,0.000092449656,0.00004640117,0.00013727146,0.0000010990093,0.00006191766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050207425,0.00011579403,0.00015701057,0.00011250118,0.00006871662,0.000006694136,0.00012440706,0.00009029894,0.00029331227],"category_scores_gemma":[0.00012738958,0.00010139945,0.00002094835,0.00016738259,0.00020939024,0.00009963651,0.0003169684,0.000077935285,0.000017129292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004463331,0.0005093656,0.91486806,0.000013396026,0.00007315004,0.0007826025,0.007909223,0.0050295754,0.0025275287,0.016189042,0.029012,0.022639746],"study_design_scores_gemma":[0.00031839928,0.00011710747,0.99387056,0.0000057347665,0.000004566928,0.00000941574,0.000104061706,0.00020884394,0.0005197672,0.0028242758,0.001891265,0.0001259851],"about_ca_topic_score_codex":0.0011999555,"about_ca_topic_score_gemma":0.001021988,"teacher_disagreement_score":0.079002544,"about_ca_system_score_codex":0.000072279756,"about_ca_system_score_gemma":0.0000058913965,"threshold_uncertainty_score":0.41349494},"labels":[],"label_agreement":null},{"id":"W1991502979","doi":"10.1016/j.enpol.2013.10.053","title":"Residential energy efficiency retrofits: How program design affects participation and outcomes","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; York University","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"Greenhouse gas; Parallels; Intervention (counseling); Environmental economics; Stock (firearms); Efficient energy use; Program Design Language; Business; Energy performance; Operations management; Engineering; Economics; Psychology","score_opus":0.009837259207596594,"score_gpt":0.27169332968302423,"score_spread":0.26185607047542764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991502979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832846,0.000045130328,0.005059692,0.0070082075,0.00010220589,0.00030104033,0.0000010025708,0.000119443954,0.0040786946],"genre_scores_gemma":[0.98998594,0.00003052746,0.0014543189,0.0008970908,0.00006869516,0.00035857433,0.0000062746567,0.000016421265,0.007182174],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986398,0.0001939939,0.00014070605,0.00035440113,0.0002682302,0.00040282815],"domain_scores_gemma":[0.99932826,0.000072718,0.00007362822,0.00029174122,0.000006804268,0.00022685384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014066507,0.0001697089,0.00014059785,0.000063852,0.00018055475,0.00012135691,0.00014787212,0.00008024728,0.0008095414],"category_scores_gemma":[0.00018527647,0.0001454481,0.000045147375,0.0002626922,0.00030198187,0.00040074094,0.00015070858,0.00005669428,0.000057570414],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029428427,0.001376422,0.3686073,0.000025340454,0.000039445335,0.000006409761,0.0024974493,0.0026540905,0.0059170425,0.016542573,0.027439786,0.5748647],"study_design_scores_gemma":[0.00031952516,0.0002071041,0.97423446,0.0000030379867,0.000010814646,0.0000022318252,0.00021443037,0.0029351579,0.004427858,0.0030133447,0.014371113,0.00026090356],"about_ca_topic_score_codex":0.007949287,"about_ca_topic_score_gemma":0.00015583137,"teacher_disagreement_score":0.6056272,"about_ca_system_score_codex":0.00029264556,"about_ca_system_score_gemma":0.000026852038,"threshold_uncertainty_score":0.99865687},"labels":[],"label_agreement":null},{"id":"W1991975028","doi":"10.1016/j.enpol.2007.01.015","title":"Understanding energy and exergy efficiencies for improved energy management in power plants","year":2007,"lang":"en","type":"article","venue":"Energy Policy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":249,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"University of Ontario Institute of Technology","keywords":"Exergy; Cogeneration; Process engineering; Geothermal power; Geothermal energy; Power (physics); Combined cycle; Energy (signal processing); Environmental science; Engineering; Power station; Electricity generation; Geothermal gradient; Mechanical engineering; Gas turbines; Electrical engineering; Mathematics; Thermodynamics","score_opus":0.03279464656000595,"score_gpt":0.2614235574032617,"score_spread":0.22862891084325573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991975028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05006828,0.00142523,0.5280628,0.0020925647,0.0008041359,0.00037004997,0.00007771602,0.0005652789,0.41653392],"genre_scores_gemma":[0.9858904,0.00028011444,0.000585251,0.0012746142,0.00035318153,0.00019750449,0.00004716432,0.00008015165,0.011291628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975915,0.00004955221,0.0006145951,0.00059565273,0.0002042645,0.0009444133],"domain_scores_gemma":[0.9988953,0.00020163017,0.00018583318,0.00044624813,0.00003380923,0.00023719027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034879902,0.00037064822,0.00040200472,0.0007444296,0.00025285594,0.000074723925,0.0003034844,0.00021244,0.000029749068],"category_scores_gemma":[0.000020217523,0.00036014497,0.00011579629,0.0005731019,0.00012141973,0.00012396116,0.00013598055,0.000060422684,0.0000017845953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006965649,0.000089769695,0.000016021206,0.000012021938,0.0000629684,0.000009424806,0.00017606787,0.0052807573,0.0034885576,0.9746612,0.00038457828,0.015748978],"study_design_scores_gemma":[0.0023505539,0.00013927626,0.0009866828,0.000066918554,0.00002083255,0.000033491055,0.0012873468,0.009853631,0.008549484,0.048285626,0.92762655,0.0007996256],"about_ca_topic_score_codex":0.051730525,"about_ca_topic_score_gemma":0.024904689,"teacher_disagreement_score":0.9358221,"about_ca_system_score_codex":0.00036730815,"about_ca_system_score_gemma":0.0000538867,"threshold_uncertainty_score":0.999885},"labels":[],"label_agreement":null},{"id":"W1991976470","doi":"10.1016/j.enpol.2013.02.012","title":"A modified GHG intensity indicator: Toward a sustainable global economy based on a carbon border tax and emissions trading","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Center for Integrated Nanotechnologies; World Bank Group","keywords":"Greenhouse gas; Carbon tax; Economics; Gross domestic product; Emissions trading; Emission intensity; Natural resource economics; Index (typography); Climate change; Work (physics); Environmental economics; Macroeconomics; Engineering; Computer science","score_opus":0.006883993402067635,"score_gpt":0.24048310944057555,"score_spread":0.23359911603850791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991976470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82848716,0.0000148218005,0.00016654326,0.002800842,0.000015716965,0.00019990766,0.000004965895,0.0000448397,0.16826524],"genre_scores_gemma":[0.9944226,0.000005047595,0.00014483795,0.002549656,0.000048783717,0.00007042493,0.0000055887176,0.000015033465,0.002738036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985564,0.0000669409,0.0001896913,0.0004045529,0.00016619697,0.0006162624],"domain_scores_gemma":[0.99911,0.000031927895,0.000067860354,0.00033766724,0.000005614614,0.0004469236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013504172,0.00022845605,0.0002116946,0.000067453686,0.00018589961,0.00007140701,0.00018171428,0.00011945078,0.0008050764],"category_scores_gemma":[0.00009512379,0.00020332976,0.00006483731,0.00023710342,0.00030406064,0.00023976238,0.00024224145,0.00012639322,0.000026056796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003846823,0.0018960164,0.8665354,0.0001634188,0.0001146539,0.00013791837,0.00489936,0.014864555,0.0021424647,0.04654616,0.017709019,0.044606347],"study_design_scores_gemma":[0.002307243,0.0006688485,0.770924,0.000026149895,0.000038524628,0.00003154199,0.0036716114,0.12122635,0.0025550348,0.049529225,0.04774492,0.0012766114],"about_ca_topic_score_codex":0.04560836,"about_ca_topic_score_gemma":0.000083340245,"teacher_disagreement_score":0.16593546,"about_ca_system_score_codex":0.001459441,"about_ca_system_score_gemma":0.00006650716,"threshold_uncertainty_score":0.960747},"labels":[],"label_agreement":null},{"id":"W1993273490","doi":"10.1016/j.enpol.2013.01.033","title":"Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":366,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; Program for New Century Excellent Talents in University; Ontario Council on Graduate Studies, Council of Ontario Universities; Korea Electric Power Corporation; National Natural Science Foundation of China; Nanjing University of Aeronautics and Astronautics","keywords":"Electricity generation; Electricity; Fossil fuel; Coal; Technology gap; Environmental economics; Frontier; Efficient energy use; Engineering; Environmental science; Natural resource economics; Economics; Power (physics); Waste management; Electrical engineering","score_opus":0.011453054023512519,"score_gpt":0.18904739847526872,"score_spread":0.1775943444517562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993273490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636922,0.006705627,0.010776956,0.0017833901,0.00022883136,0.00012450639,0.00003188861,0.000046432193,0.016610207],"genre_scores_gemma":[0.99046075,0.002702465,0.00034830096,0.00023116524,0.00027690898,0.00035345374,0.00004569364,0.000032526445,0.0055487123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977895,0.000035667967,0.0008121773,0.0007783965,0.000066312576,0.0005179361],"domain_scores_gemma":[0.9991011,0.00003436626,0.0003600683,0.0003706792,0.000021157808,0.00011259715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030037755,0.00029729065,0.00065785454,0.001724667,0.00013168456,0.00006332354,0.00022187902,0.00026319796,0.00024351079],"category_scores_gemma":[0.00007300762,0.00032623537,0.00011519157,0.0013220266,0.00014114311,0.00046945884,0.00008966194,0.0001845479,0.000030238712],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060068167,0.0007923117,0.456815,0.00004465481,0.0006318775,0.0000071294608,0.00025705356,0.05042856,0.0025826627,0.4613334,0.005060385,0.021986915],"study_design_scores_gemma":[0.0022967544,0.00020334894,0.25765356,0.000015611737,0.000072142044,0.000020234893,0.00003354343,0.58880734,0.004515505,0.045668986,0.099518515,0.0011944566],"about_ca_topic_score_codex":0.00960536,"about_ca_topic_score_gemma":0.0019291722,"teacher_disagreement_score":0.5383788,"about_ca_system_score_codex":0.0006753675,"about_ca_system_score_gemma":0.00006115592,"threshold_uncertainty_score":0.999919},"labels":[],"label_agreement":null},{"id":"W1994134567","doi":"10.1016/s0301-4215(02)00087-3","title":"Hydropower projects: a review of most effective mitigation measures","year":2002,"lang":"en","type":"review","venue":"Energy Policy","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"World Bank Group","keywords":"Hydropower; Scope (computer science); Hydroelectricity; Context (archaeology); Agency (philosophy); Environmental planning; Business; Engineering; Environmental resource management; Environmental science; Geography; Computer science; Sociology","score_opus":0.03295280748144174,"score_gpt":0.43800016666145947,"score_spread":0.4050473591800177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994134567","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000023700725,0.9118055,0.00001927485,0.00017311047,0.00016868862,0.0013308645,0.000075852884,0.00005361902,0.086370714],"genre_scores_gemma":[0.00011632676,0.99325144,0.00002676333,0.0005662436,0.0006400476,0.00037362066,0.000117336414,0.000081228274,0.004827011],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953135,0.0017541952,0.00080854056,0.00051622937,0.0009887608,0.00061873393],"domain_scores_gemma":[0.9979359,0.00023288945,0.00094446715,0.00056243845,0.00005435537,0.00026997237],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090058387,0.00052693125,0.0016421038,0.00037073944,0.00022536331,0.000040310068,0.0005601921,0.0003820895,0.0010233696],"category_scores_gemma":[0.0011757122,0.00045259827,0.0006277045,0.0014302754,0.0005803378,0.0002315894,0.00011332928,0.00026458828,0.00020772974],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001804514,0.00016941087,0.000001822995,0.020575851,0.00024008323,0.0000066555917,0.00085921044,6.775402e-7,0.0000016582853,0.0065923994,0.009061354,0.96248907],"study_design_scores_gemma":[0.00010893846,0.00007785033,7.994332e-7,0.055843774,0.00040085966,0.000005077675,0.000059569273,6.2994377e-7,0.00001402343,0.000073095056,0.9430401,0.00037528982],"about_ca_topic_score_codex":0.012397674,"about_ca_topic_score_gemma":0.00045378477,"teacher_disagreement_score":0.9621138,"about_ca_system_score_codex":0.0015500324,"about_ca_system_score_gemma":0.0007393461,"threshold_uncertainty_score":0.99988985},"labels":[],"label_agreement":null},{"id":"W1995523914","doi":"10.1016/j.enpol.2013.11.068","title":"Land use change, fuel use and respiratory health in Uganda","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Carolina Population Center, University of North Carolina at Chapel Hill; Social Sciences and Humanities Research Council of Canada; Centre for International Forestry Research; National Institute of Child Health and Human Development; Social Science Research Council; United States Agency for International Development; University of North Carolina at Chapel Hill; National Science Foundation","keywords":"Deforestation (computer science); Biomass (ecology); Incidence (geometry); Consumption (sociology); Agroforestry; Environmental science; Land use; Agriculture; Panel data; Geography; Agricultural economics; Environmental protection; Environmental health; Medicine; Economics; Ecology; Mathematics","score_opus":0.0445924468184653,"score_gpt":0.2584970224819101,"score_spread":0.21390457566344478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995523914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953707,0.00016899905,0.000009922924,0.0026253914,0.00003350991,0.00007557985,0.000005401935,0.00002593157,0.0016845522],"genre_scores_gemma":[0.97905236,0.00082689594,0.00017046611,0.018238163,0.000120738434,0.000034902187,0.000006791936,0.000018626562,0.0015310649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989767,0.000086745116,0.00015836714,0.00024025535,0.00012746187,0.00041048764],"domain_scores_gemma":[0.9993925,0.000048023845,0.00005374075,0.00023612565,0.0000012873098,0.00026833272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010476352,0.0001402416,0.00013779804,0.00008979398,0.00007026118,0.00006720882,0.00009223409,0.00007281138,0.0004120598],"category_scores_gemma":[0.000050120045,0.00012411215,0.00001913977,0.0001940692,0.000121769335,0.0010086364,0.00015068232,0.0000829426,0.00013350071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016230935,0.00014672983,0.9435723,0.000009782268,0.000009645946,0.000011327039,0.0012340099,0.002985615,0.00091544713,0.0023605204,0.012142184,0.036596205],"study_design_scores_gemma":[0.00026914547,0.000053003885,0.83314466,0.000009284279,8.4436226e-7,0.0000028903025,0.000007788419,0.000052008174,0.000077085,0.00045443865,0.16580611,0.0001227201],"about_ca_topic_score_codex":0.12704764,"about_ca_topic_score_gemma":0.012473588,"teacher_disagreement_score":0.15366393,"about_ca_system_score_codex":0.00016851422,"about_ca_system_score_gemma":0.000012650807,"threshold_uncertainty_score":0.8787654},"labels":[],"label_agreement":null},{"id":"W1997904276","doi":"10.1016/j.enpol.2009.05.003","title":"Renewable energy consumption and income in emerging economies","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1099,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Renewable energy; Per capita; Per capita income; Cointegration; Consumption (sociology); Energy consumption; Panel data; Emerging markets; Income elasticity of demand; Agricultural economics; Macroeconomics; Econometrics; Population","score_opus":0.01663252481509086,"score_gpt":0.21724747118386192,"score_spread":0.20061494636877106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997904276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80391866,0.0045048725,0.0019435121,0.0033777799,0.00029138813,0.0000738555,0.000050455714,0.00010379191,0.1857357],"genre_scores_gemma":[0.98864144,0.0037910177,0.0004245595,0.0017138114,0.000272672,0.00002413878,0.000020453926,0.00003134046,0.0050805868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982024,0.000023538978,0.0007059471,0.00057067804,0.00002188687,0.00047558],"domain_scores_gemma":[0.99911594,0.000040343228,0.00030728875,0.00039363516,0.0000036358283,0.00013918066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026108636,0.00023912998,0.0004593456,0.000814748,0.000090571695,0.000070480324,0.00020487582,0.0001499769,0.00029373512],"category_scores_gemma":[0.000044009732,0.00032311832,0.00007067879,0.00018324408,0.00008441202,0.00040354286,0.000084662606,0.00008701018,0.00008224762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011451513,0.00005361782,0.059966464,0.0000067801257,0.000022231865,0.0000041507465,0.00012244504,0.0093009155,0.00007699373,0.92632556,0.00039976795,0.0037096392],"study_design_scores_gemma":[0.0018407637,0.00012736332,0.3359464,0.0000342864,0.000005443262,0.000020159503,0.00004090891,0.0071353805,0.001390553,0.4173509,0.23517756,0.00093030004],"about_ca_topic_score_codex":0.017610481,"about_ca_topic_score_gemma":0.0023075228,"teacher_disagreement_score":0.5089747,"about_ca_system_score_codex":0.00037725578,"about_ca_system_score_gemma":0.000021460575,"threshold_uncertainty_score":0.9999221},"labels":[],"label_agreement":null},{"id":"W2001871022","doi":"10.1016/j.enpol.2009.06.070","title":"In pursuit of resilient, low carbon communities: An examination of barriers to action in three Canadian cities","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":220,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Action (physics); Typology; Climate change; Set (abstract data type); Mainland; Order (exchange); Political science; Public relations; Environmental planning; Business; Sociology; Environmental resource management; Geography; Ecology; Economics; Computer science","score_opus":0.017731564727965294,"score_gpt":0.26077453190723565,"score_spread":0.24304296717927035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001871022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98809713,0.000011224651,0.0000013374927,0.0007395639,0.000022193957,0.00006243781,0.000010926233,0.0000038001149,0.011051361],"genre_scores_gemma":[0.99920976,0.000029518247,0.00001071927,0.0005486083,0.000018810904,0.000009803844,0.000005131,0.000004214777,0.00016341599],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99928945,0.00008018474,0.00015872653,0.00009436173,0.00016433872,0.0002129348],"domain_scores_gemma":[0.9995758,0.000020929647,0.000053093678,0.00021724876,0.0000083973355,0.00012455948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022741169,0.00006769182,0.00010515256,0.00021278934,0.00002829292,0.0000056846397,0.00021057179,0.00005484606,0.0001836431],"category_scores_gemma":[0.000076293894,0.00007778679,0.000013833262,0.00046993012,0.00009613937,0.00018261811,0.00003091819,0.000052396696,5.528713e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026965025,0.000541265,0.30468097,0.00014328242,0.000010147841,0.000026327318,0.423085,0.11059693,0.017802835,0.045370672,0.0003626649,0.09711025],"study_design_scores_gemma":[0.00020714548,0.00018159542,0.95136636,0.000032291708,0.0000011677741,5.971545e-7,0.038076654,0.00072629127,0.005165183,0.003481049,0.0006538237,0.000107816115],"about_ca_topic_score_codex":0.90237266,"about_ca_topic_score_gemma":0.9750403,"teacher_disagreement_score":0.6466854,"about_ca_system_score_codex":0.0010579575,"about_ca_system_score_gemma":0.000083621606,"threshold_uncertainty_score":0.31720534},"labels":[],"label_agreement":null},{"id":"W2004608049","doi":"10.1016/j.enpol.2013.07.108","title":"Economic feasibility of large community feed-in tariff-eligible wind energy production in Nova Scotia","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Tariff; Nova (rocket); Production (economics); Wind power; Environmental science; Feed-in tariff; Economic impact analysis; Natural resource economics; Agricultural economics; Economics; Business; Renewable energy; Engineering; Energy policy; Geography; International trade; Aeronautics; Archaeology","score_opus":0.028307506485817386,"score_gpt":0.32688007756900483,"score_spread":0.29857257108318747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004608049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95181155,0.00012546021,0.000013608367,0.0017739288,0.00055033714,0.00013619574,0.000006733754,0.00005653403,0.045525644],"genre_scores_gemma":[0.9959024,0.00015878971,0.00011978429,0.00028273292,0.00086159643,0.000019852616,0.000015662401,0.000025358622,0.0026137808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972367,0.00091142155,0.0005245337,0.00034622636,0.00026173264,0.00071938615],"domain_scores_gemma":[0.99884444,0.00014108013,0.00023545047,0.0005341233,0.00009872849,0.0001461562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929502,0.00020484655,0.00041820938,0.00047592953,0.0002563936,0.00005772313,0.0006103747,0.00025941056,0.0005792477],"category_scores_gemma":[0.0005268724,0.00023308028,0.000105677245,0.0010605605,0.00038260204,0.00068077457,0.00014666616,0.0002373444,0.000031078183],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007549153,0.0015576992,0.3389336,0.000041929856,0.00005591371,0.000002813005,0.017210672,0.014177482,0.0038065205,0.5743399,0.009044431,0.040753506],"study_design_scores_gemma":[0.0035573128,0.00022721867,0.6772217,0.00020349814,0.000022250257,0.0000028099353,0.04911798,0.00037001117,0.032134976,0.19500445,0.04052909,0.001608699],"about_ca_topic_score_codex":0.96724004,"about_ca_topic_score_gemma":0.96539176,"teacher_disagreement_score":0.3793355,"about_ca_system_score_codex":0.0012797405,"about_ca_system_score_gemma":0.00086833106,"threshold_uncertainty_score":0.95047385},"labels":[],"label_agreement":null},{"id":"W2004945827","doi":"10.1016/j.enpol.2005.11.024","title":"Decomposition for emission baseline setting in China's electricity sector","year":2005,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Government of Canada; Australian Government","keywords":"Electricity; Baseline (sea); Electricity generation; Emission intensity; Environmental economics; Efficient energy use; Electricity demand; Environmental science; Natural resource economics; Economics; Engineering; Power (physics)","score_opus":0.004207243067890091,"score_gpt":0.26558208853172055,"score_spread":0.26137484546383044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004945827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98823744,0.00002288809,0.0040558637,0.0023881171,0.000016852915,0.000127561,0.0000066869275,0.00003312709,0.0051114825],"genre_scores_gemma":[0.99508786,0.000013320692,0.0022541003,0.0009013486,0.00024885545,0.000028136754,0.000026902508,0.000013801044,0.0014256521],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99901277,0.00007155614,0.00018851133,0.00023122081,0.00012828913,0.0003676272],"domain_scores_gemma":[0.9996355,0.000047480007,0.00004763107,0.00015178781,0.0000017561287,0.00011583014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066183,0.00012094736,0.000105141975,0.00006436567,0.00010882265,0.000013921273,0.000109047614,0.00006655207,0.0004752599],"category_scores_gemma":[0.000112094094,0.000112983005,0.00005548636,0.00023509427,0.0000429504,0.00021093317,0.00007289191,0.000075257514,0.000015443322],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002453676,0.0011079254,0.223307,0.000031152234,0.000011567963,0.0000067144906,0.0014196539,0.049914666,0.20617822,0.0016767991,0.008348097,0.50775284],"study_design_scores_gemma":[0.0014520887,0.00022346212,0.6463743,0.000016355165,0.000009283133,0.000012714518,0.00005777847,0.096870005,0.16152835,0.0049637216,0.087972336,0.00051964645],"about_ca_topic_score_codex":0.0033669698,"about_ca_topic_score_gemma":0.0004888209,"teacher_disagreement_score":0.5072332,"about_ca_system_score_codex":0.0010852015,"about_ca_system_score_gemma":0.000016896744,"threshold_uncertainty_score":0.52037627},"labels":[],"label_agreement":null},{"id":"W2005610721","doi":"10.1016/j.enpol.2012.04.064","title":"Information communication technology and electricity consumption in emerging economies","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":347,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"World Bank Group","keywords":"Information and Communications Technology; Electricity; Consumption (sociology); Economics; Developing country; Odds; The Internet; Business; Economic growth; Engineering; Logistic regression","score_opus":0.01918228687999909,"score_gpt":0.22786444883284393,"score_spread":0.20868216195284484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005610721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91216576,0.0018651204,0.0004989159,0.0029380904,0.00006684781,0.000055920988,0.000018705245,0.000049793463,0.082340844],"genre_scores_gemma":[0.9983134,0.0005723982,0.0001827144,0.0006872556,0.00009774059,0.00002683018,0.000018382096,0.0000071931368,0.00009406045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991877,0.000012112932,0.00041252136,0.00008320751,0.000007846871,0.00029658998],"domain_scores_gemma":[0.99952185,0.000028816226,0.00019579372,0.00019539676,0.000004845317,0.000053324504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733412,0.000091397626,0.00018787495,0.00125754,0.000079390935,0.00003164473,0.00011329673,0.000121792655,0.00003092854],"category_scores_gemma":[0.00009316302,0.00011832992,0.000023154611,0.0002926269,0.00006791379,0.0010517684,0.00007086085,0.000102735976,0.00018156327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030135914,0.000012420803,0.19870488,0.0000059883046,0.000005613143,1.3427236e-8,0.00039497294,0.00001694932,0.0000025466406,0.79780716,0.00013427177,0.002912175],"study_design_scores_gemma":[0.0006460271,0.000022291224,0.34936702,0.000009983144,0.0000021284661,0.000009604014,0.0001255346,0.0025021187,0.0003425484,0.5354035,0.11127268,0.0002966036],"about_ca_topic_score_codex":0.001325433,"about_ca_topic_score_gemma":0.00006735025,"teacher_disagreement_score":0.26240367,"about_ca_system_score_codex":0.00016342089,"about_ca_system_score_gemma":0.000008543935,"threshold_uncertainty_score":0.4825354},"labels":[],"label_agreement":null},{"id":"W2007445887","doi":"10.1016/j.enpol.2013.01.020","title":"Taking an option on the future: Subsidizing biofuels for energy security or reducing global warming","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Carleton University","funders":"","keywords":"Subsidy; Biofuel; Energy security; Natural resource economics; Global warming; Economics; Climate change; Renewable energy; Business; Environmental science; Engineering; Market economy; Waste management; Ecology","score_opus":0.03746627562386124,"score_gpt":0.2617646813291004,"score_spread":0.22429840570523918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007445887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675637,0.006603462,0.002744485,0.00976054,0.00091670983,0.0002192866,0.00013753766,0.00013446354,0.011919827],"genre_scores_gemma":[0.9926429,0.0014606715,0.00039190252,0.0019603777,0.0025477866,0.000101889804,0.0000470141,0.000025450623,0.0008220549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872434,0.000027750542,0.00040649687,0.00039968095,0.000045903544,0.00039582033],"domain_scores_gemma":[0.99907386,0.000058098973,0.00036349113,0.00036311385,0.000029702716,0.000111731904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021598459,0.00019347013,0.00027383948,0.00021773744,0.0003541574,0.0002158233,0.0002607213,0.000121148536,0.00029217525],"category_scores_gemma":[0.000073601375,0.00014704677,0.00019904626,0.0005027043,0.000046264046,0.00037385893,0.000049920433,0.000067927,0.00004304287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011336437,0.000047525817,0.00014978385,0.0000048856205,0.00005427582,5.81772e-7,0.00029298844,0.00023549126,0.00007209689,0.98876727,0.0005888463,0.009774924],"study_design_scores_gemma":[0.0004925594,0.00020143438,0.0015995573,0.000025708694,0.000025402158,0.000006262973,0.00066102395,0.06023669,0.0024116633,0.84251654,0.091259584,0.00056355214],"about_ca_topic_score_codex":0.024037628,"about_ca_topic_score_gemma":0.0010770105,"teacher_disagreement_score":0.14625071,"about_ca_system_score_codex":0.00023121554,"about_ca_system_score_gemma":0.00003287294,"threshold_uncertainty_score":0.9824614},"labels":[],"label_agreement":null},{"id":"W2007796872","doi":"10.1016/j.enpol.2012.09.064","title":"A comparative life cycle assessment of diesel and compressed natural gas powered refuse collection vehicles in a Canadian city","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia; BC Innovation Council","funders":"U.S. Environmental Protection Agency","keywords":"Compressed natural gas; Greenhouse gas; Diesel fuel; Life-cycle assessment; Gasoline; Environmental science; Natural gas; Waste management; Environmental economics; Environmental engineering; Engineering; Natural resource economics; Automotive engineering; Business; Economics; Production (economics)","score_opus":0.018015514520244465,"score_gpt":0.28953142281420186,"score_spread":0.2715159082939574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007796872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97535735,0.0004731864,0.000018130606,0.0005242856,0.00010142348,0.00006338187,0.000033474065,0.000028212853,0.023400526],"genre_scores_gemma":[0.9981857,0.00027866263,0.00019342956,0.0005184466,0.00013996642,0.000038792743,0.00006782002,0.00001890013,0.0005582653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869937,0.00012727948,0.00031996006,0.00018164684,0.00017655187,0.00049516524],"domain_scores_gemma":[0.99921066,0.00007973911,0.00012477911,0.00018684835,0.000026377977,0.0003716193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011546982,0.00018666565,0.0003251363,0.00041900674,0.00012694843,0.000016389236,0.000096842305,0.00009463524,0.000059623177],"category_scores_gemma":[0.00002792558,0.000186966,0.000050761028,0.00038491283,0.0001535338,0.00020422235,0.000019302031,0.0001220315,0.0000014717399],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011591995,0.0005667635,0.18866423,0.00004645698,0.00029172297,0.0000061759424,0.01212435,0.0413486,0.0068581267,0.748538,0.00066419103,0.00077545445],"study_design_scores_gemma":[0.00107152,0.00004678319,0.9672772,0.000021230331,0.000019283998,0.0000024746378,0.000417331,0.004626483,0.003515758,0.00083385414,0.021929227,0.00023880793],"about_ca_topic_score_codex":0.8737725,"about_ca_topic_score_gemma":0.8081821,"teacher_disagreement_score":0.77861303,"about_ca_system_score_codex":0.00026097603,"about_ca_system_score_gemma":0.00021798424,"threshold_uncertainty_score":0.76242524},"labels":[],"label_agreement":null},{"id":"W2010251878","doi":"10.1016/j.enpol.2011.09.056","title":"Trade-linked Canada–United States household environmental impact analysis of energy use and greenhouse gas emissions","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Oak Ridge National Laboratory; AUTO21 Network of Centres of Excellence; Government of Ontario; Carnegie Mellon University","keywords":"Greenhouse gas; Environmental impact assessment; Natural resource economics; Emissions trading; Environmental science; Economics; Agricultural economics; Environmental protection; Business; Political science; Ecology","score_opus":0.018645667251912895,"score_gpt":0.22483234729521528,"score_spread":0.2061866800433024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010251878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987189,0.00004522207,0.00008899438,0.00012154883,0.000015072555,0.000054795284,0.00040801585,0.000031174728,0.00051627756],"genre_scores_gemma":[0.99771863,0.0004912493,0.0001248636,0.00069879583,0.000020236133,0.000009270521,0.00023007895,0.000036725796,0.0006701487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809426,0.00014649805,0.00039641824,0.00041007184,0.0003900052,0.0005627304],"domain_scores_gemma":[0.99860364,0.00008789301,0.00016733773,0.00056035793,0.0000016901081,0.0005790746],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010376356,0.00032606832,0.00039621477,0.00031572653,0.0001590239,0.000021397085,0.00025778063,0.00011436576,0.0013557505],"category_scores_gemma":[0.000039550818,0.00027754763,0.00018869087,0.0009102702,0.0005165162,0.00032543245,0.00026665573,0.00010775194,9.2884e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011315379,0.00066369015,0.97107995,0.000005402668,0.000677125,0.00004580795,0.0021882297,0.013720182,0.005391442,0.00042199666,0.001954626,0.003738388],"study_design_scores_gemma":[0.00031405853,0.00015396085,0.9847734,0.0000029892178,0.00026792585,0.00000712333,0.00034827786,0.003250659,0.003167777,0.00024114327,0.00714351,0.00032918144],"about_ca_topic_score_codex":0.9445883,"about_ca_topic_score_gemma":0.33589152,"teacher_disagreement_score":0.60869676,"about_ca_system_score_codex":0.00096174236,"about_ca_system_score_gemma":0.0000674203,"threshold_uncertainty_score":0.9999677},"labels":[],"label_agreement":null},{"id":"W2010392324","doi":"10.1016/j.enpol.2011.03.008","title":"Characteristics of the prices of operating reserves and regulation services in competitive electricity markets","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Volatility (finance); Electricity; Economics; Predictability; Monetary economics; Electricity market; Agricultural economics; Business; Econometrics","score_opus":0.0061379765347969704,"score_gpt":0.18881686392320177,"score_spread":0.1826788873884048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010392324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98680884,0.00015289233,0.00072895444,0.000011867455,0.000036180634,0.000056448673,0.000004192871,0.000019950216,0.012180657],"genre_scores_gemma":[0.9993551,0.00010213066,0.00043936522,0.000006452008,0.000027630818,0.0000045316583,0.000003261984,0.000010071245,0.000051452666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994676,0.000055607245,0.00023438643,0.00006678528,0.00007633633,0.00009929096],"domain_scores_gemma":[0.9996893,0.000037482983,0.00009936878,0.00011523742,0.000044365544,0.000014252792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114768336,0.00006668622,0.00012815771,0.00013183322,0.000018053675,0.000005568214,0.00009910455,0.00004424489,0.0000050649796],"category_scores_gemma":[0.00003459947,0.000055552748,0.000013493031,0.000428279,0.000018022118,0.00009965444,0.000027964626,0.00004047002,8.46746e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010169398,0.00019983258,0.54224026,0.0019561818,0.00020299881,0.0000025636102,0.018813808,0.016535226,0.09661244,0.31036478,0.000049201994,0.012921018],"study_design_scores_gemma":[0.00011793455,0.000017529512,0.88490105,0.00010971626,0.000004651905,0.0000016244388,0.000029110393,0.057301465,0.0573026,0.000109379725,0.000043165408,0.00006178494],"about_ca_topic_score_codex":0.0014168534,"about_ca_topic_score_gemma":0.00027016408,"teacher_disagreement_score":0.34266078,"about_ca_system_score_codex":0.00002767548,"about_ca_system_score_gemma":0.000021194108,"threshold_uncertainty_score":0.22653753},"labels":[],"label_agreement":null},{"id":"W2011507020","doi":"10.1016/j.enpol.2009.02.038","title":"The four ‘R's of energy security","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy security; Limiting; Computer security; Energy (signal processing); Public security; Computer science; Environmental economics; Risk analysis (engineering); Business; Political science; Economics; Engineering; Public administration; Renewable energy","score_opus":0.006205898719266086,"score_gpt":0.21217166263893933,"score_spread":0.20596576391967325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011507020","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4041081,0.0002854456,0.0006896226,0.008426427,0.00015142621,0.00003427085,0.0000053007243,0.0000749164,0.5862245],"genre_scores_gemma":[0.9908962,0.00048833195,0.0000659974,0.002144701,0.0001674502,0.000003365985,0.0000028297168,0.000008700246,0.006222374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897355,0.00006259172,0.0001787408,0.00016766909,0.00026188677,0.00035558146],"domain_scores_gemma":[0.9993471,0.00005555754,0.00008528687,0.00037894037,0.0000021005044,0.00013099916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012528496,0.00013076297,0.0001105043,0.000028901472,0.00018398688,0.000014974266,0.00032786746,0.000069668764,0.00030187453],"category_scores_gemma":[0.00004422168,0.00009121831,0.00007463316,0.0002380094,0.00019933363,0.00012047837,0.0000981782,0.000058223766,0.000037154507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067594614,0.00026404345,0.002110618,0.0000016998523,0.00003695141,0.000015247322,0.00037246273,0.0379385,0.009915936,0.73904663,0.03239713,0.1778332],"study_design_scores_gemma":[0.00028897743,0.00017894538,0.07190676,0.000005887976,0.000008923122,0.00001512781,0.000018685829,0.00033216717,0.024684519,0.10476534,0.7975564,0.00023827745],"about_ca_topic_score_codex":0.002794948,"about_ca_topic_score_gemma":0.00048135145,"teacher_disagreement_score":0.76515925,"about_ca_system_score_codex":0.00009360911,"about_ca_system_score_gemma":0.000013279777,"threshold_uncertainty_score":0.42251438},"labels":[],"label_agreement":null},{"id":"W2012035310","doi":"10.1016/j.enpol.2013.12.049","title":"Predicting oil price movements: A dynamic Artificial Neural Network approach","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Oil price; Autoregressive model; Econometrics; Time series; Series (stratigraphy); Computer science; Economics; Artificial intelligence; Machine learning","score_opus":0.01567383922666293,"score_gpt":0.21704790796493437,"score_spread":0.20137406873827143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012035310","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34030122,0.00033627788,0.05161205,0.0006851407,0.0007601346,0.000071184615,0.00008732854,0.0001583878,0.60598826],"genre_scores_gemma":[0.9914453,0.000047186975,0.000941211,0.00097390625,0.001169523,0.00003402005,0.000058329468,0.00003672638,0.0052938233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981805,0.000047737707,0.000610256,0.00048635068,0.000052960084,0.00062219554],"domain_scores_gemma":[0.9989948,0.000060882063,0.00031809977,0.00046135107,0.000020993037,0.00014382502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007820677,0.00019789932,0.00034244359,0.00017455043,0.00019801194,0.00009714765,0.00028547965,0.000122042096,0.000094866984],"category_scores_gemma":[0.00021981043,0.00023086774,0.00012610319,0.00043785752,0.000048098547,0.0001430027,0.000131785,0.00015939938,0.000019519395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023062345,0.00012294836,0.051321123,0.00003125919,0.000051957384,5.25066e-7,0.00011835398,0.008214932,0.0000063816947,0.92017597,0.00020574994,0.019727726],"study_design_scores_gemma":[0.00019092791,0.000027964576,0.01175402,0.0000046398454,0.000002230436,0.0000013675062,0.0000070156207,0.878624,9.241673e-7,0.08456772,0.024614535,0.00020462081],"about_ca_topic_score_codex":0.0027089573,"about_ca_topic_score_gemma":0.00022197902,"teacher_disagreement_score":0.87040913,"about_ca_system_score_codex":0.00015195881,"about_ca_system_score_gemma":0.00002543767,"threshold_uncertainty_score":0.9414513},"labels":[],"label_agreement":null},{"id":"W2016186121","doi":"10.1016/j.enpol.2012.08.009","title":"Examining the economic feasibility of miscanthus in Ontario: An application to the greenhouse industry","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Miscanthus; Renewable energy; Greenhouse gas; Production (economics); Natural resource economics; Energy crop; Economics; Agricultural economics; Yield (engineering); Environmental science; Business; Environmental economics; Bioenergy; Engineering; Microeconomics","score_opus":0.055881260217095136,"score_gpt":0.26409599149061497,"score_spread":0.20821473127351983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016186121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181354,0.000016936685,0.00000650802,0.005579903,0.00008600871,0.0000897356,0.0000029251432,0.000014549361,0.0023899071],"genre_scores_gemma":[0.99704415,0.0000042748884,0.000014017852,0.0010333469,0.0005304869,0.000035503068,0.000008143967,6.8394075e-7,0.0013294116],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993933,0.00007747623,0.00013915285,0.00015134357,0.000060436334,0.0001783281],"domain_scores_gemma":[0.999701,0.000022267612,0.000057899524,0.00014546207,0.000008757593,0.00006461241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034694266,0.00006719317,0.00006829951,0.000013621508,0.000088318266,0.000015308531,0.0002518536,0.000062490515,0.00011058777],"category_scores_gemma":[0.000011412419,0.000020920712,0.000021231748,0.00016270913,0.000044202257,0.000080816295,0.00008303516,0.00009940422,0.000008109985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066053864,0.0003626272,0.3434095,0.0000032625394,0.000026560003,2.0360747e-7,0.0029305296,0.0038214182,0.02805633,0.10213924,0.0034364266,0.51574785],"study_design_scores_gemma":[0.000033933302,0.000039174087,0.81353575,0.0000012591768,0.0000021935653,8.630495e-7,0.00039329092,0.000020645899,0.001342377,0.000112578564,0.18446495,0.000052970387],"about_ca_topic_score_codex":0.5469602,"about_ca_topic_score_gemma":0.7874182,"teacher_disagreement_score":0.51569486,"about_ca_system_score_codex":0.00015536547,"about_ca_system_score_gemma":0.000020823034,"threshold_uncertainty_score":0.45605668},"labels":[],"label_agreement":null},{"id":"W2016193349","doi":"10.1016/j.enpol.2014.04.016","title":"Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":355,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy storage; Environmental economics; Battery (electricity); Greenhouse gas; Electricity; Reuse; Electric vehicle; Load shifting; Automotive engineering; Smart grid; Peak demand; Incentive; Engineering; Waste management; Electrical engineering; Economics; Power (physics)","score_opus":0.004965764872604808,"score_gpt":0.19781652994862772,"score_spread":0.19285076507602292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016193349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769806,0.00029296312,0.02195017,0.000040580675,0.00007579132,0.000023086608,0.000038629936,0.0000594518,0.0005387],"genre_scores_gemma":[0.99828774,0.00015658476,0.0002929515,0.00014688482,0.00037582775,0.00000907281,0.000020634378,0.00003435378,0.00067594665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917156,0.000023404291,0.00025971833,0.00018554433,0.000071653274,0.00028811436],"domain_scores_gemma":[0.99950916,0.000119650715,0.00006642402,0.00019910168,0.000030366195,0.000075297154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077874545,0.00015600615,0.00031677017,0.00047313186,0.000059790662,0.000055754223,0.000109816996,0.00010228492,0.00006875512],"category_scores_gemma":[0.000023044555,0.000164389,0.00011005363,0.0004069111,0.000023906794,0.00017600378,0.000021783952,0.000057328518,5.2925435e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074440555,0.000017377854,0.0018107301,0.00010816146,0.002013497,0.0000015884126,0.0004316019,0.5956935,0.20438714,0.13533401,0.0055361916,0.054591734],"study_design_scores_gemma":[0.0004964425,0.000105101266,0.01733147,0.0000068335303,0.00026694997,0.0000035053963,0.000007196788,0.821171,0.10254013,0.0023692264,0.05535614,0.0003460061],"about_ca_topic_score_codex":0.0020280397,"about_ca_topic_score_gemma":0.00180057,"teacher_disagreement_score":0.22547747,"about_ca_system_score_codex":0.00011395838,"about_ca_system_score_gemma":0.000049179846,"threshold_uncertainty_score":0.6703589},"labels":[],"label_agreement":null},{"id":"W2017457021","doi":"10.1016/s0301-4215(00)00028-8","title":"Estimating future elasticities of substitution for the rebound debate","year":2000,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Elasticity of substitution; Energy consumption; Rebound effect (conservation); Efficient energy use; Production (economics); Capital (architecture); Output elasticity; Offset (computer science); Microeconomics; Consumption (sociology); Energy (signal processing); Capital cost; Econometrics; Macroeconomics; Engineering","score_opus":0.010004352598706709,"score_gpt":0.24178557538029669,"score_spread":0.23178122278158997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017457021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8606655,0.001914261,0.04556823,0.0040191207,0.0011002311,0.00026296603,0.00016820873,0.00030633336,0.08599513],"genre_scores_gemma":[0.9875718,0.0004276128,0.0017015061,0.0006180789,0.0017417589,0.000073733914,0.000067855675,0.000030509596,0.0077671614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906445,0.000029394363,0.0003031948,0.00016257538,0.00016183758,0.0002785405],"domain_scores_gemma":[0.99939597,0.00016144275,0.00010538583,0.0002608874,0.000024200972,0.000052094965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007889076,0.00016069169,0.00016490185,0.00008439473,0.00027413722,0.000022707754,0.00017276872,0.00008386037,0.00033473174],"category_scores_gemma":[0.000028117023,0.00011995253,0.0001152354,0.0001743264,0.0002171536,0.0001116263,0.0000063793473,0.000055278455,0.0000098955825],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024415622,0.000019217061,0.000028063847,0.000013283202,0.000043986747,5.0279147e-7,0.00043792467,0.3229275,0.00032374923,0.6592814,0.00012129237,0.01677867],"study_design_scores_gemma":[0.0009784615,0.00009253632,0.00776732,0.000041563217,0.00012341779,0.000009996309,0.00024725925,0.016883653,0.014201928,0.031401724,0.92790526,0.00034690608],"about_ca_topic_score_codex":0.008243101,"about_ca_topic_score_gemma":0.0015498486,"teacher_disagreement_score":0.92778397,"about_ca_system_score_codex":0.00003866692,"about_ca_system_score_gemma":0.00005122319,"threshold_uncertainty_score":0.9983611},"labels":[],"label_agreement":null},{"id":"W2018205441","doi":"10.1016/j.enpol.2013.09.039","title":"The journey towards decarbonization: Exploring socio-technical transitions in the electricity sector in the province of Ontario (1885–2013) and potential low-carbon pathways","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electrification; Electricity; Electricity system; Sociotechnical system; Politics; Momentum (technical analysis); Perspective (graphical); Economic system; Rural electrification; Economics; Political science; Business; Economy; Electricity generation; Engineering; Management; Power (physics); Computer science","score_opus":0.02687235429257812,"score_gpt":0.2562165087788325,"score_spread":0.2293441544862544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018205441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768946,0.00021989086,0.00013408373,0.012076768,0.00013411642,0.00025532139,0.0000015870867,0.000030103249,0.010253524],"genre_scores_gemma":[0.9978411,0.0006070173,0.000055579916,0.00037544066,0.000686787,0.00024105383,0.0000022771785,0.000013267061,0.00017743278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977839,0.00063687103,0.0003249562,0.00020740763,0.0005631613,0.00048367676],"domain_scores_gemma":[0.9992736,0.00021350809,0.000126895,0.00023140291,0.00009378347,0.000060811788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009115361,0.00014683227,0.00018570019,0.00011738224,0.00061840203,0.00017833065,0.00066782563,0.00014711595,0.000024550247],"category_scores_gemma":[0.0002153234,0.00009057638,0.000083963096,0.0009822714,0.00040189477,0.0002919559,0.00004246687,0.00029278322,5.298231e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059762242,0.00054715545,0.0045196037,0.00001923956,0.000058136746,0.000033513228,0.20037556,0.004481855,0.0025082752,0.69950616,0.000985007,0.086905755],"study_design_scores_gemma":[0.0040053613,0.0006441704,0.4615504,0.00027810078,0.00014507129,0.00004242656,0.2366755,0.002979733,0.0031855141,0.25143087,0.03704633,0.0020164952],"about_ca_topic_score_codex":0.6495953,"about_ca_topic_score_gemma":0.8705497,"teacher_disagreement_score":0.45703083,"about_ca_system_score_codex":0.00055566744,"about_ca_system_score_gemma":0.0016883275,"threshold_uncertainty_score":0.4756311},"labels":[],"label_agreement":null},{"id":"W2018826517","doi":"10.1016/j.enpol.2010.01.027","title":"The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review","year":2010,"lang":"en","type":"review","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":387,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Natural Resources Canada; University of Waterloo","keywords":"Peak demand; Electricity; Demand response; Electricity pricing; Control (management); Load shifting; Environmental economics; Peak load; Mains electricity; Load management; Economics; Supply and demand; Operations management; Microeconomics; Business; Natural resource economics; Electricity market; Automotive engineering; Engineering; Electrical engineering","score_opus":0.013112223618259942,"score_gpt":0.2783764721903536,"score_spread":0.2652642485720937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018826517","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042975662,0.9925648,0.00022151871,0.000034055494,0.0003122446,0.00055292493,0.000015777003,0.00016648561,0.006089196],"genre_scores_gemma":[0.0016474649,0.99694145,0.000010667736,0.0000601182,0.0006489876,0.00018074774,0.00002234206,0.00010297618,0.00038524673],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972504,0.00054340565,0.000796151,0.000413787,0.0004320513,0.00056419737],"domain_scores_gemma":[0.9973095,0.001356078,0.00029178674,0.0008863015,0.000049789847,0.000106544685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009966315,0.00065849803,0.0017873881,0.0002497841,0.00015711488,0.00015197694,0.00046010406,0.0002780846,0.000018751558],"category_scores_gemma":[0.0005536431,0.00044020923,0.00040989282,0.00059421716,0.000105467705,0.00015723564,0.00012104773,0.00062933005,0.000014672187],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002213006,0.000011330445,0.0000028976651,0.026622642,0.0006359595,0.000009789251,0.000008181953,0.0014552578,0.000014500306,0.0036864479,0.005178318,0.9623526],"study_design_scores_gemma":[0.00026719234,0.00009097772,0.000024056517,0.009696446,0.0007797353,0.000010709508,3.1508418e-7,0.0009126924,0.00004549978,0.000020836218,0.9877981,0.0003534671],"about_ca_topic_score_codex":0.0013947445,"about_ca_topic_score_gemma":0.0001397437,"teacher_disagreement_score":0.98261976,"about_ca_system_score_codex":0.0002236657,"about_ca_system_score_gemma":0.00020379013,"threshold_uncertainty_score":0.999805},"labels":[],"label_agreement":null},{"id":"W2022818192","doi":"10.1016/j.enpol.2012.03.041","title":"Short-run price and income elasticity of gasoline demand: Evidence from Lebanon","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Price elasticity of demand; Economics; Gasoline; Excise; Income elasticity of demand; Revenue; Tax revenue; Government revenue; Elasticity (physics); Monetary economics; Econometrics; Microeconomics; Macroeconomics; Engineering","score_opus":0.017783432268029503,"score_gpt":0.2617048141844238,"score_spread":0.24392138191639431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022818192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878827,0.0020512056,0.0031767085,0.00021798708,0.00012232998,0.000035696405,0.000035956567,0.00006552209,0.00641194],"genre_scores_gemma":[0.9952431,0.0019502004,0.0006605679,0.00035945597,0.0007856072,0.000019059791,0.000042550633,0.000037285583,0.00090221915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985231,0.00009060994,0.00041759893,0.00024771364,0.00026924285,0.00045173313],"domain_scores_gemma":[0.99892336,0.0002953259,0.00013760047,0.0003562745,0.000024631352,0.00026280465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014000792,0.00023902097,0.0003176999,0.0001759742,0.000086660504,0.000013793814,0.00017842284,0.00013427279,0.00017828154],"category_scores_gemma":[0.00010964048,0.00022256857,0.00007804403,0.00022919093,0.00018651638,0.00037342988,0.000058334877,0.00009574134,0.000013262165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014340534,0.0004270359,0.3002246,0.00009445387,0.0003142696,0.0000071353716,0.0039719855,0.02833387,0.052852053,0.6042253,0.00021075769,0.009195153],"study_design_scores_gemma":[0.00036141978,0.000058128353,0.91398525,0.000089642825,0.00008179388,0.000004849315,0.000050237417,0.0002796356,0.06580428,0.0022979432,0.016662892,0.00032390005],"about_ca_topic_score_codex":0.036052987,"about_ca_topic_score_gemma":0.0020053661,"teacher_disagreement_score":0.61376065,"about_ca_system_score_codex":0.00005409515,"about_ca_system_score_gemma":0.000032500855,"threshold_uncertainty_score":0.970366},"labels":[],"label_agreement":null},{"id":"W2022953208","doi":"10.1016/j.enpol.2013.04.040","title":"Sustainability and policy for the thermal use of shallow geothermal energy","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Deutsche Bundesstiftung Umwelt","keywords":"Aquifer; Sustainability; Geothermal gradient; Geothermal energy; Groundwater; Resource (disambiguation); Hydrogeology; Environmental science; Renewable energy; Sustainable development; Environmental quality; Environmental resource management; Environmental economics; Environmental planning; Water resource management; Natural resource economics; Environmental engineering; Engineering; Geology; Ecology; Computer science; Economics; Geotechnical engineering","score_opus":0.014938550151847689,"score_gpt":0.2512957044658739,"score_spread":0.2363571543140262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022953208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91661483,0.0010261942,0.0082406085,0.04533506,0.00023240646,0.0010647963,0.00011960261,0.0003721746,0.026994294],"genre_scores_gemma":[0.9803378,0.00007065251,0.0002044569,0.0016570055,0.0010896324,0.0009736832,0.00001659358,0.00007190241,0.015578291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818856,0.00013321803,0.0005045367,0.00037492465,0.00019552093,0.0006032323],"domain_scores_gemma":[0.99788964,0.0005774714,0.00023466017,0.00081157853,0.0003063927,0.00018025438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016092087,0.00029758472,0.0003595802,0.00019853008,0.00027752935,0.00010537819,0.0003834785,0.00017344965,0.00016023591],"category_scores_gemma":[0.00026391455,0.00020724017,0.00020148965,0.00042594568,0.00033277224,0.00027062694,0.00014671305,0.00007712164,0.0000052636674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018646346,0.00006753876,0.00038858003,0.000023248467,0.00008405214,2.79148e-7,0.0001913247,0.044452906,0.0021367818,0.8894188,0.00040610152,0.06281178],"study_design_scores_gemma":[0.00088231225,0.00011292277,0.05879802,0.000016950178,0.000040883162,0.000013404901,0.0002507332,0.03620525,0.0024353054,0.030457284,0.87032545,0.0004615168],"about_ca_topic_score_codex":0.6434894,"about_ca_topic_score_gemma":0.004422009,"teacher_disagreement_score":0.8699193,"about_ca_system_score_codex":0.000108850465,"about_ca_system_score_gemma":0.00029324292,"threshold_uncertainty_score":0.8451009},"labels":[],"label_agreement":null},{"id":"W2025061449","doi":"10.1016/s0301-4215(02)00247-1","title":"Energy rent and public policy: an analysis of the Canadian coal industry","year":2003,"lang":"en","type":"article","venue":"Energy Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Revenue; Coal; Rent-seeking; Economics; Private sector; Public sector; Economic rent; Natural resource economics; Government (linguistics); Resource (disambiguation); Business; Market economy; Economy; Finance; Economic growth; Engineering; Politics","score_opus":0.011566945271218758,"score_gpt":0.21431363720919278,"score_spread":0.202746691937974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025061449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80107445,0.00032338593,0.00025311846,0.0017929896,0.00013286005,0.000030210322,0.000029396433,0.0000914335,0.19627213],"genre_scores_gemma":[0.9970728,0.000037165933,0.000020202797,0.0005458504,0.0001456417,0.0000066426974,0.0000091883785,0.000018887058,0.0021435844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991883,0.00006816296,0.00014926851,0.00012998203,0.00013325286,0.0003310376],"domain_scores_gemma":[0.99929506,0.000011340141,0.000030444702,0.00035997276,0.000016309707,0.00028686077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008686619,0.000119868884,0.00016002067,0.0009336546,0.00011575347,0.00004415209,0.00017086486,0.0001520566,0.00004519278],"category_scores_gemma":[0.00003740151,0.00009435958,0.000063566265,0.0011783881,0.00006490761,0.000030852472,0.000031061667,0.000113027796,3.9171152e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.848959e-7,0.000026208863,0.0134097,0.000010066948,0.0007915445,0.0000033680271,0.0006323772,0.17097263,0.00008146735,0.8017679,0.0019037073,0.010400288],"study_design_scores_gemma":[0.0002430898,0.000027379638,0.03913538,0.000012121369,0.00021703806,0.000005672134,0.00043915465,0.046028785,0.0011109968,0.0003422898,0.91210973,0.00032835748],"about_ca_topic_score_codex":0.5748232,"about_ca_topic_score_gemma":0.40028003,"teacher_disagreement_score":0.910206,"about_ca_system_score_codex":0.00018648063,"about_ca_system_score_gemma":0.00020714571,"threshold_uncertainty_score":0.6106633},"labels":[],"label_agreement":null},{"id":"W2028794019","doi":"10.1016/j.enpol.2009.07.045","title":"Estimating the value of wind energy using electricity locational marginal price","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wind power; Electricity; Electricity market; Renewable energy; Work (physics); Environmental economics; Marginal cost; Marginal value; Natural resource economics; Wind speed; Economics; Value (mathematics); Environmental science; Microeconomics; Meteorology; Computer science; Geography; Engineering","score_opus":0.017321180127755235,"score_gpt":0.3139512124126549,"score_spread":0.29663003228489965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028794019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66423005,0.0012012194,0.087543234,0.010900294,0.00082156155,0.00015094891,0.000008130798,0.00024333005,0.2349012],"genre_scores_gemma":[0.9878514,0.00005407462,0.005749562,0.0013830893,0.0031730507,0.0000036237916,0.0000038747075,0.000014230864,0.0017671286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980272,0.00028377134,0.00028773447,0.00023063344,0.00064351363,0.00052715355],"domain_scores_gemma":[0.99899787,0.00021311715,0.00028065176,0.0002164639,0.00017535542,0.00011653101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044543608,0.00015317815,0.00020644673,0.00016590401,0.00081083353,0.00006372278,0.0005499094,0.00012839815,0.000073985386],"category_scores_gemma":[0.00056124845,0.00013497814,0.00010643591,0.0015482093,0.0002947627,0.00024158518,0.000039286737,0.00009068667,0.0000012320924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008069412,0.000046968024,0.00013652456,0.0000014077322,0.000017192051,0.0000010351638,0.00076595123,0.07365735,0.0010796444,0.86378676,0.00033235026,0.060166743],"study_design_scores_gemma":[0.0015400854,0.00034901735,0.026984163,0.00017461217,0.00014748875,0.000028963268,0.005213953,0.15927055,0.024190158,0.6075965,0.17273447,0.0017700231],"about_ca_topic_score_codex":0.13858911,"about_ca_topic_score_gemma":0.0032926744,"teacher_disagreement_score":0.3236213,"about_ca_system_score_codex":0.00040002697,"about_ca_system_score_gemma":0.0013007743,"threshold_uncertainty_score":0.8671471},"labels":[],"label_agreement":null},{"id":"W2029982052","doi":"10.1016/j.enpol.2013.07.002","title":"A blessing in disguise: The implications of high global oil prices for the North American market","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Canadian Association of Petroleum Producers","keywords":"Production (economics); Economics; Blessing; Natural resource economics; Supply and demand; Unconventional oil; Oil production; Oil price; Balance (ability); Oil-storage trade; Tight oil; Business; Agricultural economics; Fossil fuel; Monetary economics; Macroeconomics; Engineering; Petroleum engineering","score_opus":0.014202644200080827,"score_gpt":0.2403710897100924,"score_spread":0.22616844551001158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029982052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94518566,0.00026425254,0.00219449,0.01154256,0.00007429955,0.00012118629,0.000369132,0.000012161501,0.040236257],"genre_scores_gemma":[0.99792355,0.00043367417,0.00026717506,0.00037119753,0.00010862976,0.00018534095,0.000010052075,0.000008585504,0.0006917816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99919605,0.000016284379,0.00036234825,0.00018459249,0.000020431393,0.00022027714],"domain_scores_gemma":[0.99897224,0.00022758971,0.00031203026,0.00042348786,0.000029855068,0.000034771303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022771215,0.00008962907,0.00020036648,0.00006220988,0.000113839866,0.000052758263,0.0003507693,0.000023361905,0.00006386591],"category_scores_gemma":[0.00011853032,0.00006279865,0.00007587858,0.0005814179,0.0001365273,0.000071392344,0.00007116862,0.000044174165,0.000002160058],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069917064,0.000037489808,0.4048672,0.000008880151,0.000023039654,1.9938765e-8,0.00006449017,0.00008762502,4.7488732e-7,0.5491649,0.00051440444,0.045224484],"study_design_scores_gemma":[0.00011628778,0.000010244201,0.9077156,0.0000020496038,0.0000025422871,2.5741898e-7,0.000026539796,0.026469078,3.828834e-7,0.053572685,0.012015431,0.00006889327],"about_ca_topic_score_codex":0.12485829,"about_ca_topic_score_gemma":0.016910736,"teacher_disagreement_score":0.50284845,"about_ca_system_score_codex":0.000094056384,"about_ca_system_score_gemma":0.000041797688,"threshold_uncertainty_score":0.9436587},"labels":[],"label_agreement":null},{"id":"W2038481756","doi":"10.1016/s0301-4215(00)00105-1","title":"Sustainable energy and urban form in China: the relevance of community energy management","year":2001,"lang":"en","type":"article","venue":"Energy Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Tsinghua University","keywords":"Environmental economics; Energy consumption; Land use; Business; Sustainable development; Environmental planning; Urban planning; Energy management; China; Transport engineering; Energy planning; Efficient energy use; Context (archaeology); Urban density; Environmental resource management; Natural resource economics; Civil engineering; Renewable energy; Engineering; Energy (signal processing); Environmental science; Economics; Geography","score_opus":0.011727404660936991,"score_gpt":0.2766891111712935,"score_spread":0.26496170651035655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038481756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7711566,0.00084308436,0.00034498225,0.0028211535,0.0000528484,0.000061479346,0.000002847323,0.00004450934,0.22467251],"genre_scores_gemma":[0.9611165,0.0018433102,0.000019740597,0.0005421854,0.00017173759,0.000025798665,0.0000064007404,0.000010236591,0.03626408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865866,0.00023794416,0.00025887124,0.00014347651,0.00022952851,0.0004715389],"domain_scores_gemma":[0.99927235,0.00010526109,0.000102515776,0.00039196148,0.000043302723,0.00008462665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059343,0.00012532575,0.00018438928,0.00015059774,0.00060912693,0.000039164166,0.0004964143,0.0000788948,0.000034638873],"category_scores_gemma":[0.00005171643,0.00009916096,0.00005417383,0.00085435156,0.00044547213,0.00027074618,0.00012092439,0.00010641194,1.7768399e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026730952,0.00012944493,0.026764123,0.000018302137,0.000015207307,0.000010855507,0.0066642817,0.000025684865,0.0000068395275,0.9422176,0.00089261465,0.02322835],"study_design_scores_gemma":[0.00042755782,0.000039959017,0.19675109,0.00002016999,0.000012879864,5.743447e-7,0.007849892,0.000028806955,0.00020218168,0.14009964,0.6543869,0.0001803664],"about_ca_topic_score_codex":0.53263146,"about_ca_topic_score_gemma":0.1987529,"teacher_disagreement_score":0.80211794,"about_ca_system_score_codex":0.00014357484,"about_ca_system_score_gemma":0.000102549,"threshold_uncertainty_score":0.8158678},"labels":[],"label_agreement":null},{"id":"W2040055457","doi":"10.1016/j.enpol.2013.07.070","title":"Projected contributions of future wind farm development to community noise and annoyance levels in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Noise Effects and Management","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Intrinsik (Canada)","funders":"","keywords":"Annoyance; Wind power; Turbine; Noise pollution; Noise (video); Offshore wind power; Context (archaeology); Environmental science; Noise control; Engineering; Meteorology; Geography; Computer science; Acoustics; Electrical engineering; Noise reduction; Physics","score_opus":0.0250834769202923,"score_gpt":0.3304335721090853,"score_spread":0.305350095188793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040055457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98935646,0.0000295004,0.00006368926,0.0031457471,0.00019080797,0.00066612725,0.00004187334,0.000017112294,0.006488706],"genre_scores_gemma":[0.9903016,0.0000045597444,0.00028445534,0.003484988,0.00011321261,0.00022996805,0.000035604822,0.000010435356,0.0055351695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863696,0.00035543912,0.00033948568,0.00012707061,0.00013421092,0.00040683208],"domain_scores_gemma":[0.9992119,0.00012651917,0.00009946538,0.00025779876,0.000143841,0.00016044505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000247715,0.00012988505,0.000234383,0.00012194393,0.00040521668,0.0000055642427,0.00014436802,0.00007970299,0.00013326807],"category_scores_gemma":[0.0000929944,0.000112888134,0.0000115859075,0.0002896323,0.00002708702,0.000057944915,0.00023076622,0.00038260847,0.000006388069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002467402,0.0013760517,0.27962387,0.0013296205,0.0005113603,0.00004276981,0.15683645,0.00094665,0.020680506,0.23581037,0.21601684,0.08657877],"study_design_scores_gemma":[0.0005472705,0.000027207616,0.7406726,0.00009117327,0.00000302901,2.8478073e-7,0.0013415043,0.0000053829726,0.00030740953,0.000096662945,0.25680152,0.00010594275],"about_ca_topic_score_codex":0.99881405,"about_ca_topic_score_gemma":0.9993658,"teacher_disagreement_score":0.46104872,"about_ca_system_score_codex":0.0011151463,"about_ca_system_score_gemma":0.003164528,"threshold_uncertainty_score":0.56137365},"labels":[],"label_agreement":null},{"id":"W2041636927","doi":"10.1016/j.enpol.2009.09.038","title":"Regional-scale electric power system planning under uncertainty—A multistage interval-stochastic integer linear programming approach","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Mathematical optimization; Interval (graph theory); Renewable energy; Context (archaeology); Computer science; Stochastic programming; Linear programming; Energy planning; Electricity; Integer programming; Electric power system; Scale (ratio); Operations research; Energy supply; Energy (signal processing); Power (physics); Engineering; Mathematics","score_opus":0.01148090322683963,"score_gpt":0.22488066787894806,"score_spread":0.21339976465210844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041636927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020552417,0.00035399303,0.9642081,0.00015973188,0.00012246463,0.0001978783,0.0000016536442,0.0010976414,0.013306095],"genre_scores_gemma":[0.99462706,0.000005327142,0.002909298,0.00021557012,0.00038365935,0.000033687313,0.00007354984,0.000053664644,0.0016982002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878174,0.000032214208,0.00027591255,0.00025561388,0.00019338558,0.00046114263],"domain_scores_gemma":[0.99955714,0.000017827017,0.00005583649,0.00023621964,0.00003051412,0.00010249114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008686194,0.00025383435,0.00021822847,0.00044372998,0.000087882545,0.000088741945,0.00021865348,0.00010439009,0.000005807574],"category_scores_gemma":[0.00000872548,0.00023848822,0.000089656794,0.0005466262,0.00001896865,0.00013292895,0.00003339246,0.00015752834,0.0000130703265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014194058,0.000030446376,0.0000056909776,0.000038473467,0.00004157788,0.000004666882,0.00067337847,0.9888781,0.00014077783,0.0068696127,0.00054462254,0.0027584943],"study_design_scores_gemma":[0.00034279542,0.000060084098,0.000073278374,0.00009528147,0.000020300833,0.000012827122,0.00035842852,0.9878257,0.00007953882,0.000058642683,0.010775007,0.00029815212],"about_ca_topic_score_codex":0.00015693046,"about_ca_topic_score_gemma":0.000004047767,"teacher_disagreement_score":0.9740746,"about_ca_system_score_codex":0.000267065,"about_ca_system_score_gemma":0.000012067884,"threshold_uncertainty_score":0.9725267},"labels":[],"label_agreement":null},{"id":"W2041733346","doi":"10.1016/j.enpol.2009.12.042","title":"Variables affecting energy efficiency and CO2 emissions in the steel industry","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Tekes","keywords":"Energy consumption; Efficient energy use; Steelmaking; Mill; Energy intensity; Energy accounting; Production (economics); Steel mill; Environmental science; Energy (signal processing); Energy conservation; Consumption (sociology); Engineering; Process engineering; Waste management; Metallurgy; Mechanical engineering; Economics; Materials science; Mathematics","score_opus":0.007611120694656655,"score_gpt":0.236054117257994,"score_spread":0.22844299656333733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041733346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7527466,0.00042929052,0.0010394529,0.0005454241,0.0004090934,0.000038539958,0.0000045218053,0.00024886712,0.24453825],"genre_scores_gemma":[0.9971949,0.000040171206,0.000097616416,0.00032417942,0.00035610455,0.00001250065,0.0000019170886,0.000019928813,0.0019526889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993608,0.000029027835,0.00012217366,0.00012392248,0.0000965689,0.00026750576],"domain_scores_gemma":[0.9995826,0.00015127355,0.000019304416,0.00017806838,0.000009748218,0.00005904054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440643,0.00012528863,0.00010348173,0.00013989958,0.00011512481,0.000055187847,0.0001807367,0.00020784682,0.000027126225],"category_scores_gemma":[0.00013257748,0.000093088194,0.000018064595,0.00037798905,0.000041751882,0.000060157963,0.000036610025,0.00040083018,0.0000010345981],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037215486,0.000072253024,0.0013862351,0.000068258436,0.000015351086,0.000018141864,0.0028054982,0.019448739,0.027257405,0.9189937,0.0018926844,0.028038006],"study_design_scores_gemma":[0.0008231723,0.000058264057,0.009626883,0.00013116538,0.000019911387,0.00017657212,0.0011796288,0.02606237,0.029712228,0.002528537,0.928945,0.00073628494],"about_ca_topic_score_codex":0.0009196919,"about_ca_topic_score_gemma":0.00048449967,"teacher_disagreement_score":0.9270523,"about_ca_system_score_codex":0.000013968399,"about_ca_system_score_gemma":0.00004692237,"threshold_uncertainty_score":0.37960264},"labels":[],"label_agreement":null},{"id":"W2042050358","doi":"10.1016/j.enpol.2012.05.070","title":"Evaluation and optimization of feed-in tariffs","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental economics; Tariff; Renewable energy; Feed-in tariff; Valuation (finance); Economics; Incentive; Electricity; Payment; Microeconomics; Business; Energy policy; Finance; Engineering","score_opus":0.03150447046496918,"score_gpt":0.25233536278232516,"score_spread":0.22083089231735598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042050358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8401309,0.07154985,0.00795482,0.0013607282,0.00030837016,0.00015013893,0.00003580042,0.00002620531,0.078483135],"genre_scores_gemma":[0.9967836,0.0017774942,0.00072742614,0.000090301015,0.00012094145,0.000007308946,0.000016411615,0.000005496476,0.00047103348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995744,0.000009312885,0.00020330049,0.0000799472,0.000027236756,0.000105805724],"domain_scores_gemma":[0.9997534,0.000009127624,0.00010739949,0.000081000864,0.000014931945,0.000034147626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036863596,0.000045433026,0.0001223944,0.00033451364,0.000016417043,0.0000078718485,0.000030308442,0.000039389193,0.00015114677],"category_scores_gemma":[0.00006027072,0.00004943193,0.00002950749,0.00024307387,0.000020409074,0.00015765507,0.000015194799,0.000018276136,0.000008984598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013923645,0.000040234198,0.017901482,0.0000021494309,0.000017975519,2.5207386e-8,0.0003264481,0.01624758,0.000014964539,0.9643095,0.000070340844,0.0010678865],"study_design_scores_gemma":[0.0011569422,0.00005194958,0.12662584,0.000011659006,0.00004944118,0.0000018642448,0.0001211948,0.7137066,0.0007922231,0.14806928,0.009074518,0.00033851125],"about_ca_topic_score_codex":0.004831795,"about_ca_topic_score_gemma":0.00010088089,"teacher_disagreement_score":0.81624025,"about_ca_system_score_codex":0.00005746347,"about_ca_system_score_gemma":0.000010739794,"threshold_uncertainty_score":0.7304261},"labels":[],"label_agreement":null},{"id":"W2043092388","doi":"10.1016/j.enpol.2010.09.028","title":"The Honduran palm oil industry: Employing lessons from Malaysia in the search for economically and environmentally sustainable energy solutions","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Inter-American Development Bank","keywords":"Palm oil; Business; Sustainable energy; Natural resource economics; Environmentally friendly; Sustainability; Agricultural economics; Environmental protection; Economics; Engineering; Environmental science; Renewable energy; Agricultural science","score_opus":0.013513727220051244,"score_gpt":0.2584410131632126,"score_spread":0.24492728594316138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043092388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569549,0.00004384127,0.00010434665,0.0367936,0.000088443325,0.000083147796,0.000017574448,0.000020857102,0.0058932877],"genre_scores_gemma":[0.9904721,0.00011587737,0.00010405713,0.00090361777,0.00027753078,0.00016425757,0.000013651404,0.000018758174,0.00793015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983318,0.00016098813,0.00023165492,0.00043044807,0.00016441268,0.0006807222],"domain_scores_gemma":[0.99899423,0.00027393328,0.000053748787,0.00054174406,0.00000822783,0.00012812925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075730094,0.00016419028,0.00012743105,0.00005329921,0.00091879,0.00014860144,0.0004529058,0.00018367577,0.00019940149],"category_scores_gemma":[0.00014199887,0.0001147779,0.000060356975,0.00021387545,0.0006773875,0.00019985414,0.00032786207,0.0004104911,0.000007971245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010932155,0.00039503543,0.07280057,0.0000145137,0.000046252648,0.000012669579,0.0034849178,0.0060206037,0.013897611,0.6843014,0.0050531,0.21386401],"study_design_scores_gemma":[0.0007595636,0.000066180844,0.28151882,0.0000031110014,0.000014822429,0.000015504063,0.0075441143,0.0019876957,0.0018316146,0.02791106,0.6779772,0.00037034604],"about_ca_topic_score_codex":0.035771653,"about_ca_topic_score_gemma":0.007289229,"teacher_disagreement_score":0.6729241,"about_ca_system_score_codex":0.0002953443,"about_ca_system_score_gemma":0.000087737346,"threshold_uncertainty_score":0.97064924},"labels":[],"label_agreement":null},{"id":"W2043131667","doi":"10.1016/j.enpol.2011.01.001","title":"Electricity trade and GHG emissions: Assessment of Quebec's hydropower in the Northeastern American market (2006–2008)","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"Independent Electricity System Operator","keywords":"Greenhouse gas; Hydropower; Electricity; Life-cycle assessment; Natural resource economics; Agricultural economics; Electricity generation; Emissions trading; Environmental science; Electricity market; Production (economics); Economics; Engineering; Power (physics)","score_opus":0.007682403977575079,"score_gpt":0.2547692819524175,"score_spread":0.2470868779748424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043131667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95314795,0.000031099396,0.000114800234,0.0006629965,0.000009549506,0.000095338066,0.000004866147,0.000008553244,0.045924857],"genre_scores_gemma":[0.99789554,0.00007596404,0.00022721781,0.00069270167,0.000019783698,0.000015206084,0.0000018828589,0.000009631416,0.0010620853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987759,0.00021889892,0.00021381586,0.00021821515,0.0002403682,0.0003327958],"domain_scores_gemma":[0.9994359,0.000049044622,0.00009366041,0.0003092348,0.0000011804098,0.00011100345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027306698,0.00014140805,0.00016762012,0.0000594779,0.00006337914,0.000009790413,0.00023383622,0.00003873563,0.0006459508],"category_scores_gemma":[0.000034083194,0.000097618125,0.00004623645,0.0003739423,0.0005137211,0.00012962683,0.0001114784,0.00011784464,0.0000020471718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040495426,0.0005891697,0.9570108,0.000006385232,0.000010640184,0.000016618174,0.0025593927,0.00007548176,0.00081592565,0.0010241274,0.00060624105,0.037244715],"study_design_scores_gemma":[0.00017758842,0.0001329053,0.99350053,0.0000032976536,0.0000058247656,0.000006866293,0.0006100661,0.0005632321,0.00039295256,0.0007284412,0.0037648624,0.00011342359],"about_ca_topic_score_codex":0.20493749,"about_ca_topic_score_gemma":0.016707398,"teacher_disagreement_score":0.18823008,"about_ca_system_score_codex":0.000279957,"about_ca_system_score_gemma":0.00003519157,"threshold_uncertainty_score":0.932312},"labels":[],"label_agreement":null},{"id":"W2043775458","doi":"10.1016/j.enpol.2004.01.004","title":"Energy and exergy utilization in agricultural sector of Saudi Arabia","year":2004,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"King Fahd University of Petroleum and Minerals","keywords":"Exergy; Exergy efficiency; Electricity; Environmental science; Energy conservation; Efficient energy use; Agriculture; Energy analysis; Environmental engineering; Diesel fuel; Waste management; Energy (signal processing); Engineering; Mathematics; Geography","score_opus":0.018177285402490105,"score_gpt":0.2756939136316321,"score_spread":0.257516628229142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043775458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9124898,0.0010101135,0.00044156372,0.001670078,0.00010714882,0.00006427713,0.000010375454,0.00009577551,0.0841109],"genre_scores_gemma":[0.9959372,0.00036492833,0.000093401395,0.00023910504,0.00020416043,0.000031277887,0.000047840575,0.000021324666,0.00306072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824435,0.00014552113,0.00039366703,0.00036749235,0.00029982452,0.00054916006],"domain_scores_gemma":[0.999232,0.00005806459,0.00008387461,0.00029884657,0.00015221121,0.00017501377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013086053,0.00022616652,0.0003231266,0.0003682299,0.00008000828,0.000027333723,0.00021737839,0.00021211882,0.0000711373],"category_scores_gemma":[0.00020316531,0.00019468393,0.00008425151,0.0011449188,0.00019134748,0.0001961576,0.0001342634,0.0000951448,0.000002048047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059539514,0.00013986904,0.00034311213,0.00003117701,0.000021343218,0.000012697374,0.00027930524,0.03353966,0.0022684666,0.9410187,0.00005918677,0.022226935],"study_design_scores_gemma":[0.0053636925,0.00057492376,0.07859677,0.0001760562,0.000024538529,0.00008942187,0.0013633212,0.0011400934,0.08582856,0.6784389,0.14727384,0.0011298938],"about_ca_topic_score_codex":0.14849347,"about_ca_topic_score_gemma":0.03435753,"teacher_disagreement_score":0.2625798,"about_ca_system_score_codex":0.0003385107,"about_ca_system_score_gemma":0.00024077893,"threshold_uncertainty_score":0.98326296},"labels":[],"label_agreement":null},{"id":"W2045937632","doi":"10.1016/s0301-4215(00)00024-0","title":"A view from the macro side: rebound, backfire, and Khazzoom–Brookes","year":2000,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":326,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Macro; Set (abstract data type); Positive economics; Key (lock); Economics; Macroeconomics; Rebound effect (conservation); Public economics; Political science; Computer science; Engineering; Computer security; Efficient energy use","score_opus":0.00893413514072623,"score_gpt":0.22707947666165731,"score_spread":0.2181453415209311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045937632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6807359,0.0058134724,0.000053860884,0.00644806,0.00015310192,0.000089497276,0.00012726261,0.00023321458,0.3063456],"genre_scores_gemma":[0.9489416,0.010662155,0.00018463154,0.009521033,0.0010302853,0.00005121664,0.00013999848,0.00006406642,0.029405024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984528,0.00011836471,0.00035291607,0.00038334902,0.00024771816,0.00044485685],"domain_scores_gemma":[0.9989788,0.00018931132,0.00007922424,0.0005723902,0.000011665591,0.00016863503],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008111814,0.0002970099,0.00026390635,0.00006736656,0.00030913457,0.00009462787,0.00028586233,0.00012950921,0.0023279323],"category_scores_gemma":[0.00002114503,0.00022398662,0.000110313675,0.00024667179,0.00029834599,0.0001614821,0.00002762382,0.00012511022,0.00021495801],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048933263,0.00011934632,0.0013221642,0.000012981475,0.0002156423,0.000021661186,0.002250738,0.005987526,0.00086866075,0.77056974,0.0036993304,0.21488325],"study_design_scores_gemma":[0.0005351272,0.00002684612,0.044006776,0.000025625915,0.000045131794,0.0000072095636,0.00008681111,0.00008019965,0.0016119378,0.021918463,0.9313711,0.0002847891],"about_ca_topic_score_codex":0.136853,"about_ca_topic_score_gemma":0.023778293,"teacher_disagreement_score":0.92767173,"about_ca_system_score_codex":0.000047416634,"about_ca_system_score_gemma":0.000045622844,"threshold_uncertainty_score":0.9985841},"labels":[],"label_agreement":null},{"id":"W2046742552","doi":"10.1016/j.enpol.2010.04.025","title":"On properties of royalty and tax regimes in Alberta’s oil sands","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Revenue; Distribution (mathematics); Economics; Capital expenditure; Tax revenue; Government (linguistics); Monetary economics; Production (economics); Government revenue; Capital (architecture); Oil sands; Natural resource economics; Business; Public economics; Macroeconomics; Finance; Geography","score_opus":0.009437894916910897,"score_gpt":0.2549542851550975,"score_spread":0.2455163902381866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046742552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8073307,0.00008450979,5.5074037e-7,0.0024183893,0.00005401947,0.000016100588,0.0000017532789,0.000017423044,0.19007654],"genre_scores_gemma":[0.9439892,0.000061780076,0.00002470195,0.0002734293,0.00013259384,0.000027711685,0.000003618146,0.000017585926,0.05546939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987473,0.00010952509,0.00023928049,0.00027230824,0.00021442697,0.0004171797],"domain_scores_gemma":[0.9992305,0.00010301272,0.000045949364,0.00041044696,0.000077465294,0.00013260737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018747698,0.00016131709,0.00024194008,0.00026970662,0.00006542629,0.000022744523,0.00021195444,0.00017949763,0.00008601763],"category_scores_gemma":[0.0009861758,0.00012804124,0.000053678257,0.00034673046,0.00028387067,0.00008118608,0.00011268426,0.00023685094,0.000006087366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016212178,0.00011972849,0.00058485154,0.000048469214,0.000015048363,0.000005770226,0.00039529553,0.0016900371,0.0029411942,0.9592624,0.00021374524,0.034561373],"study_design_scores_gemma":[0.004036853,0.0007366106,0.011403284,0.00023078841,0.000018466262,0.000041304713,0.000693089,0.0035714912,0.15757082,0.23240936,0.5881429,0.0011450879],"about_ca_topic_score_codex":0.37208554,"about_ca_topic_score_gemma":0.101444006,"teacher_disagreement_score":0.726853,"about_ca_system_score_codex":0.000053725864,"about_ca_system_score_gemma":0.00023319563,"threshold_uncertainty_score":0.9149523},"labels":[],"label_agreement":null},{"id":"W2049816691","doi":"10.1016/s0301-4215(02)00331-2","title":"Deregulated power prices: comparison of diurnal patterns","year":2003,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Incentive; Economics; Consumption (sociology); Market power; Market price; Econometrics; Microeconomics; Business; Monetary economics","score_opus":0.0066437289222762725,"score_gpt":0.2296884580782942,"score_spread":0.22304472915601792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049816691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30202633,0.0015078784,0.55518585,0.000046601603,0.0005875106,0.000109495115,0.000010751586,0.00046792655,0.14005765],"genre_scores_gemma":[0.9990587,0.00002533295,0.00054537854,0.000025107376,0.00003721674,0.000005118016,0.000008552313,0.00003175552,0.00026279988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922526,0.00003394355,0.0002857493,0.000092183356,0.00013614948,0.00022668777],"domain_scores_gemma":[0.9996256,0.000023679202,0.00006486612,0.00018636133,0.000035562047,0.000063900945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053446238,0.0001169533,0.00018738458,0.00019996529,0.000022647448,0.000012641154,0.00010157578,0.00007872936,0.00008162969],"category_scores_gemma":[0.000029643435,0.00011842796,0.000041117884,0.0004211635,0.000009719767,0.00007121959,0.000007370088,0.000061095525,0.000005999316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007840229,0.00016310171,0.014924268,0.0001227098,0.00025603478,0.000004810346,0.0018767451,0.79085046,0.0077488036,0.17803372,0.0032129586,0.0027985314],"study_design_scores_gemma":[0.0026439757,0.00034186474,0.02116293,0.00032286253,0.00008153425,0.00009951132,0.00030393637,0.3517428,0.52570885,0.0011725837,0.09486672,0.001552415],"about_ca_topic_score_codex":0.00018718778,"about_ca_topic_score_gemma":0.000029879904,"teacher_disagreement_score":0.6970324,"about_ca_system_score_codex":0.000083880535,"about_ca_system_score_gemma":0.000035488123,"threshold_uncertainty_score":0.4829352},"labels":[],"label_agreement":null},{"id":"W2049919354","doi":"10.1016/j.enpol.2011.12.049","title":"Barriers to renewable energy development: A case study of large-scale wind energy in Saskatchewan, Canada","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"","keywords":"Renewable energy; Wind power; Investment (military); Stakeholder; Environmental economics; Business; Natural resource economics; Economics; Politics; Engineering; Political science","score_opus":0.011376272775308439,"score_gpt":0.27745720100088084,"score_spread":0.2660809282255724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049919354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97614145,0.00031737096,0.00022194351,0.00029830396,0.0006628226,0.00010978886,0.000014433904,0.00006947118,0.022164406],"genre_scores_gemma":[0.97652054,0.000026795737,0.00039502716,0.0017764827,0.0012653158,0.00011080873,0.000008180968,0.00006233192,0.01983449],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9955212,0.0005654443,0.0007050335,0.00050518493,0.0009769383,0.001726207],"domain_scores_gemma":[0.99747574,0.00016822194,0.00024797453,0.0004719425,0.0001611932,0.0014749111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070849084,0.00037797765,0.00059880083,0.00055304193,0.00080334937,0.00004962047,0.0006439457,0.00024209419,0.00034617403],"category_scores_gemma":[0.0003491691,0.00042657266,0.00008106034,0.0025969532,0.000118724485,0.00040600175,0.00025296022,0.0001046906,0.000001250392],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018607466,0.0022573972,0.09008593,0.00003090305,0.0004628351,0.0012796395,0.6611956,0.041679904,0.00066893036,0.036448188,0.03750681,0.12819782],"study_design_scores_gemma":[0.0007767178,0.00005564954,0.00077347294,0.00001949841,0.000014478876,0.000015324413,0.54929173,0.000013923292,0.002917734,0.00016219584,0.44546545,0.0004938261],"about_ca_topic_score_codex":0.99943453,"about_ca_topic_score_gemma":0.9999767,"teacher_disagreement_score":0.40795863,"about_ca_system_score_codex":0.0017765624,"about_ca_system_score_gemma":0.008940889,"threshold_uncertainty_score":0.9998186},"labels":[],"label_agreement":null},{"id":"W2049929852","doi":"10.1016/j.enpol.2010.05.051","title":"Markets for renewable energy and pollution emissions: Environmental claims, emission-reduction accounting, and product decoupling","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity; Renewable energy; Environmental economics; Electricity generation; Natural resource economics; Electricity retailing; Pollutant; Emissions trading; Greenhouse gas; Business; Carbon offset; Electricity market; Environmental science; Economics; Engineering","score_opus":0.024410527990797744,"score_gpt":0.23547056361321989,"score_spread":0.21106003562242215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049929852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892804,0.0020686877,0.0006240337,0.0030421133,0.0006772105,0.00012708886,0.0002947309,0.000055529144,0.0038302215],"genre_scores_gemma":[0.9883921,0.0038404628,0.0007114875,0.0004636661,0.0016635669,0.000066981396,0.000096063246,0.000044696684,0.004720977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986291,0.000006366442,0.0004196287,0.00052826706,0.000022671242,0.00039398507],"domain_scores_gemma":[0.99924,0.00003242038,0.00026994478,0.00027063352,0.0000075012767,0.00017953156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031563855,0.00020164001,0.0002725078,0.00032063152,0.00037058166,0.00010358684,0.00010647556,0.00017063612,0.00014431519],"category_scores_gemma":[0.0001312795,0.00023690333,0.00006165789,0.00009534065,0.00009923582,0.0003210049,0.00010844847,0.00008905747,0.000004784341],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039515985,0.0006066076,0.07050233,0.00029452515,0.00029759435,0.000002893715,0.0024777562,0.00062141975,0.112562045,0.68905133,0.038874183,0.084314175],"study_design_scores_gemma":[0.001242509,0.000065566084,0.014969871,0.000032828804,0.000018885588,0.00010523861,0.0002052867,0.011123893,0.016661735,0.12360244,0.83118695,0.0007848165],"about_ca_topic_score_codex":0.004198494,"about_ca_topic_score_gemma":0.00029461796,"teacher_disagreement_score":0.79231274,"about_ca_system_score_codex":0.00009307759,"about_ca_system_score_gemma":0.000027647906,"threshold_uncertainty_score":0.96606374},"labels":[],"label_agreement":null},{"id":"W2050002896","doi":"10.1016/j.enpol.2003.09.001","title":"Corrigendum to “Deregulated power prices: comparison of diurnal patterns” [Energy Policy 32 (2004) 657–672]","year":2003,"lang":"en","type":"erratum","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Power (physics); Energy (signal processing); Economics; Environmental science; Natural resource economics; Environmental economics; Business; Mathematics; Thermodynamics; Physics; Statistics","score_opus":0.010548284690366267,"score_gpt":0.24373013421040718,"score_spread":0.23318184952004092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050002896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000345856,0.015583635,0.28079945,0.00068755954,0.07798628,0.00069720246,0.00063575304,0.0018056289,0.62145865],"genre_scores_gemma":[0.38591576,0.001833573,0.0011368076,0.0017133246,0.009490243,0.00023197666,0.0027376837,0.0012780037,0.59566265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99487734,0.0001914265,0.0016679941,0.0007851303,0.0009665279,0.0015115674],"domain_scores_gemma":[0.99702865,0.00004120187,0.0006629426,0.0013071079,0.0003327855,0.00062732236],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00017799789,0.0011507444,0.0016567024,0.0028675203,0.00013285391,0.00012940113,0.0010412048,0.001383486,0.00030318522],"category_scores_gemma":[0.00016813944,0.0012523911,0.00035188417,0.003235057,0.000055537395,0.0002002461,0.0001408163,0.00078230095,0.000042352036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001695379,0.00012938112,0.000072880524,0.00024768413,0.0004328885,0.000014544938,0.0005561829,0.059606228,0.00016462439,0.013300033,0.9234252,0.0020334],"study_design_scores_gemma":[0.0006016891,0.00023215242,0.00022800548,0.0006173071,0.00008661373,0.000047464437,0.000045314657,0.019608,0.002556839,0.00014080376,0.97447324,0.0013625773],"about_ca_topic_score_codex":0.01009733,"about_ca_topic_score_gemma":0.0008762754,"teacher_disagreement_score":0.3855699,"about_ca_system_score_codex":0.0015380925,"about_ca_system_score_gemma":0.0011010307,"threshold_uncertainty_score":0.9999129},"labels":[],"label_agreement":null},{"id":"W2054691274","doi":"10.1016/s0301-4215(00)00146-4","title":"Inertia in the North American electricity industry: is it realistic to think that the Kyoto Protocol objectives can be met?","year":2001,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Kyoto Protocol; Ratification; Electricity; Economics; Economy; Electric power industry; Politics; Engineering; Political science; Greenhouse gas; Law","score_opus":0.11420070603527457,"score_gpt":0.3169066736503236,"score_spread":0.20270596761504903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054691274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8003692,0.000034027787,0.0000606444,0.12945075,0.00009435574,0.009315075,0.0005964398,0.00005676897,0.060022704],"genre_scores_gemma":[0.9286022,0.0001168392,0.000027770348,0.0553439,0.00063926645,0.014018822,0.000022391005,0.00003796328,0.001190812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815005,0.00007743817,0.0005277224,0.0004734109,0.00005924689,0.00071214454],"domain_scores_gemma":[0.99860024,0.00017016323,0.00036173363,0.00071016565,0.000019085986,0.00013861016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047520362,0.00027969843,0.00043996735,0.0005048638,0.00023866112,0.00016237286,0.0007773887,0.00012540552,0.00014631606],"category_scores_gemma":[0.00027785584,0.0002156589,0.00011567978,0.001766066,0.00012983895,0.00013396617,0.00013607669,0.00043323066,0.000059601993],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022924198,0.00048431152,0.42312646,0.00003462436,0.00018624896,0.000024750181,0.06544221,0.0014381785,0.00000591551,0.45374027,0.047789443,0.007498349],"study_design_scores_gemma":[0.0007766792,0.00029284894,0.38658902,0.000015171307,0.000010950692,0.00002705867,0.0026329109,0.0009815237,0.00011420487,0.010573619,0.5973032,0.0006827753],"about_ca_topic_score_codex":0.1979189,"about_ca_topic_score_gemma":0.09024691,"teacher_disagreement_score":0.54951376,"about_ca_system_score_codex":0.0003801608,"about_ca_system_score_gemma":0.00007801435,"threshold_uncertainty_score":0.9263537},"labels":[],"label_agreement":null},{"id":"W2056121983","doi":"10.1016/j.enpol.2011.01.028","title":"Small wind turbine energy policies for residential and small business usage in Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Ontario Power Authority; Australian Government; California Public Utilities Commission","keywords":"Incentive; Business; Transparency (behavior); Government (linguistics); Social acceptance; Wind power; Small business; Incentive program; Environmental economics; Marketing; Engineering; Political science; Economics","score_opus":0.03712141234148083,"score_gpt":0.2480581243756972,"score_spread":0.21093671203421635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056121983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91597813,0.00023885047,0.00025059844,0.0015993334,0.00082079927,0.00012164643,0.00001579349,0.00006923067,0.08090561],"genre_scores_gemma":[0.9636182,0.00022018208,0.000718967,0.0014194013,0.0013897313,0.000056286986,0.000018472952,0.000043124714,0.032515597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979106,0.00014371515,0.00033877895,0.00040629535,0.00031709913,0.0008834943],"domain_scores_gemma":[0.99899745,0.00015774829,0.00015622521,0.000232534,0.00018111266,0.00027493638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002750762,0.00025928693,0.00035590815,0.00029307167,0.00046100136,0.000091939226,0.00047903357,0.00021481566,0.00020555683],"category_scores_gemma":[0.00039002698,0.00028254968,0.000065100874,0.0007576895,0.00031271265,0.00020158202,0.00012616368,0.000106869964,4.1363245e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021582091,0.00016414847,0.018445948,0.000024106239,0.00010650461,0.00006964978,0.028247792,0.00051585067,0.00036265314,0.8958503,0.008891534,0.047105685],"study_design_scores_gemma":[0.0018317002,0.000091117945,0.3235096,0.00007386157,0.000047009078,0.00000592978,0.010578853,0.000023867224,0.0028695625,0.037057087,0.6227769,0.0011345019],"about_ca_topic_score_codex":0.9999832,"about_ca_topic_score_gemma":0.9999975,"teacher_disagreement_score":0.8587932,"about_ca_system_score_codex":0.0011034096,"about_ca_system_score_gemma":0.005509633,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W2057106771","doi":"10.1016/j.enpol.2009.12.009","title":"How to do structural validity of a system dynamics type simulation model: The case of an energy policy model","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":329,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Set (abstract data type); System dynamics; Econometrics; Computer science; Policy analysis; Economics; Artificial intelligence","score_opus":0.13063474208169598,"score_gpt":0.4175488719394783,"score_spread":0.2869141298577823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057106771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53141224,0.00005479849,0.46477947,0.0006245817,0.00014029167,0.0001005865,0.00010996228,0.000044949564,0.002733135],"genre_scores_gemma":[0.99580014,0.0000010034595,0.0020033773,0.0002894114,0.00042985845,0.0000032255764,0.000004496675,0.000019548439,0.0014489639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99677086,0.000360755,0.00095261796,0.00049845205,0.0010665349,0.00035077153],"domain_scores_gemma":[0.9962563,0.0005890067,0.0006153995,0.0014755632,0.00083086157,0.00023288732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009527957,0.0002480419,0.00055666425,0.0009006075,0.0002302461,0.00028172173,0.0009338024,0.00013158836,0.000004887698],"category_scores_gemma":[0.0012137591,0.00015786198,0.0002012783,0.0020748242,0.00006540192,0.00037531785,0.000206249,0.00007806165,0.0000014547252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030275649,0.000009255591,0.000005721655,0.0000022178256,0.0000039641845,0.0000074347245,0.00028950727,0.53577816,0.000116817704,0.44181445,0.00007288961,0.021869322],"study_design_scores_gemma":[0.00016334935,0.00011740389,0.00008237717,0.000019815481,0.0000071540658,0.00010613276,0.00047772133,0.8352825,0.00011298945,0.16325971,0.0002341814,0.00013666245],"about_ca_topic_score_codex":0.007923838,"about_ca_topic_score_gemma":0.0018900573,"teacher_disagreement_score":0.4643879,"about_ca_system_score_codex":0.00022200395,"about_ca_system_score_gemma":0.00036273678,"threshold_uncertainty_score":0.9986825},"labels":[],"label_agreement":null},{"id":"W2058117593","doi":"10.1016/j.enpol.2013.06.062","title":"Global wind power development: Economics and policies","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"World Bank Group","keywords":"Wind power; Offshore wind power; Natural resource economics; Economics; Energy subsidies; Subsidy; Renewable energy; Capital cost; Nameplate capacity; Business; Electricity generation; Environmental economics; Energy policy; Power (physics); Market economy; Engineering; Macroeconomics","score_opus":0.03378022021326613,"score_gpt":0.22294319219993255,"score_spread":0.18916297198666643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058117593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.809552,0.0008123398,0.00007218147,0.00425175,0.0002088517,0.00007384937,0.00015496426,0.00005016867,0.1848239],"genre_scores_gemma":[0.9904148,0.001378347,0.00048712757,0.0045323083,0.00040983784,0.000027634362,0.000026102733,0.00003284432,0.0026910296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985057,0.0000063408984,0.00054465735,0.00038247267,0.000012791037,0.00054802996],"domain_scores_gemma":[0.999232,0.000024766818,0.00021388597,0.00029006982,0.000014600233,0.00022468832],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000111452806,0.00022850522,0.0003624159,0.0002664251,0.00016068998,0.0002020597,0.00021660079,0.00014365917,0.0005976181],"category_scores_gemma":[0.000043616892,0.00028103293,0.00006838761,0.00017593772,0.0001052327,0.00039051057,0.0001876536,0.000052466006,0.0010852948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028983814,0.000026732805,0.015064845,0.000006128345,0.00004410425,3.481839e-7,0.0007288396,0.000064917265,0.0000014134521,0.97987086,0.0017437488,0.0024451828],"study_design_scores_gemma":[0.0004925161,0.00002996568,0.11120836,0.0000060555217,0.0000022291154,0.000021075695,0.00015794236,0.00043983117,0.00006239853,0.18607655,0.7009798,0.0005232534],"about_ca_topic_score_codex":0.013414076,"about_ca_topic_score_gemma":0.00063373626,"teacher_disagreement_score":0.7937943,"about_ca_system_score_codex":0.0002964371,"about_ca_system_score_gemma":0.000054976703,"threshold_uncertainty_score":0.9999642},"labels":[],"label_agreement":null},{"id":"W2059016663","doi":"10.1016/j.enpol.2010.07.015","title":"Privatization of electricity distribution in the Northeast of Brazil: The good, the bad, the ugly or the naïve?","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Shareholder; Electric power distribution; Business; Distribution (mathematics); Electricity; Quality (philosophy); Value (mathematics); Finance; Service (business); Financial system; Economics; Marketing; Corporate governance; Engineering","score_opus":0.034592867490376315,"score_gpt":0.3454695971295767,"score_spread":0.3108767296392004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059016663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5908976,0.0003042301,0.021460218,0.36878917,0.0006949498,0.0010557811,0.00009126796,0.000034494107,0.01667226],"genre_scores_gemma":[0.99703276,0.00013143015,0.0000054668603,0.0016943904,0.0002153739,0.000050776307,0.0000055504374,0.0000059075664,0.0008583577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99788237,0.0004082612,0.00045967085,0.00017903767,0.00084910705,0.00022156315],"domain_scores_gemma":[0.99640536,0.0019606205,0.00041138887,0.0009767759,0.00023328645,0.000012567448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027966336,0.00012493014,0.00016831914,0.000074436255,0.0006227491,0.000113287024,0.0017967955,0.000043910637,0.000036471392],"category_scores_gemma":[0.0028498224,0.00003042638,0.00009182528,0.0027238189,0.0005186086,0.00012074056,0.00029763803,0.00019158078,0.00000458628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041623134,0.000088256515,0.009487813,0.0000030290569,0.000032543656,2.9872567e-7,0.0020540622,0.00046610535,0.00013939847,0.9037029,0.009122516,0.07486143],"study_design_scores_gemma":[0.00025470098,0.000043461077,0.6314204,0.000007962891,0.000030104286,0.0000038301273,0.0016120644,0.00256563,0.0004253663,0.03127834,0.33226648,0.00009167595],"about_ca_topic_score_codex":0.005909457,"about_ca_topic_score_gemma":0.0077221566,"teacher_disagreement_score":0.8724246,"about_ca_system_score_codex":0.000013622481,"about_ca_system_score_gemma":0.00009172765,"threshold_uncertainty_score":0.893337},"labels":[],"label_agreement":null},{"id":"W2060620513","doi":"10.1016/j.enpol.2010.12.007","title":"The challenge of meeting Canada’s greenhouse gas reduction targets","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Electrification; Carbon capture and storage (timeline); Government (linguistics); Hydroelectricity; Low-carbon economy; Natural resource economics; Energy policy; Natural gas; Business; Order (exchange); Renewable energy; Engineering; Environmental economics; Climate change; Economics; Electricity; Waste management; Finance","score_opus":0.009673440203967338,"score_gpt":0.1826383938567582,"score_spread":0.17296495365279085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060620513","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02829152,0.0036765414,0.0052273106,0.0011250757,0.0033066687,0.00016760334,0.000019175093,0.0008155171,0.9573706],"genre_scores_gemma":[0.99766666,0.0005726693,0.00030903475,0.000012042882,0.00036437562,0.000016401478,0.000006377751,0.00004569601,0.001006753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992208,0.00003958687,0.00026043295,0.00009952452,0.00013492253,0.0002447175],"domain_scores_gemma":[0.99953353,0.000016086275,0.00006790828,0.00025329608,0.00007734256,0.000051811498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009493924,0.00012462128,0.00011580176,0.000086562446,0.00009092394,0.0000068727536,0.00015529495,0.000071066584,0.000014292599],"category_scores_gemma":[0.00004186723,0.00009918938,0.00003174279,0.00018895745,0.000029090272,0.0000666342,0.0000152478815,0.00007496654,0.000001607083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025487074,0.000036142126,0.000020285022,0.000057406967,0.00024155487,0.000008625511,0.0035127322,0.6116198,0.0036675492,0.34287035,0.015480324,0.022459788],"study_design_scores_gemma":[0.00087380985,0.00020142738,0.00030895253,0.0002662034,0.00006191357,0.00007177708,0.0015931223,0.1932791,0.41367996,0.0051145456,0.3832941,0.0012550835],"about_ca_topic_score_codex":0.839753,"about_ca_topic_score_gemma":0.6484869,"teacher_disagreement_score":0.96937513,"about_ca_system_score_codex":0.00020419457,"about_ca_system_score_gemma":0.00017277004,"threshold_uncertainty_score":0.40448257},"labels":[],"label_agreement":null},{"id":"W2063642581","doi":"10.1016/j.enpol.2009.11.067","title":"Potential of building-scale alternative energy to alleviate risk from the future price of energy","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scale (ratio); Energy (signal processing); Alternative energy; Economics; Natural resource economics; Environmental science; Risk analysis (engineering); Business; Renewable energy; Engineering; Geography; Physics","score_opus":0.004169571003292913,"score_gpt":0.2230410838108864,"score_spread":0.21887151280759348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063642581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8664966,0.0033256824,0.07225029,0.008629286,0.0011265633,0.00014278608,0.00094462757,0.0002421705,0.046841975],"genre_scores_gemma":[0.9864706,0.003784661,0.0012104727,0.003774715,0.0024458882,0.000025893918,0.00013849197,0.000059378617,0.0020899316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973196,0.00024371306,0.00077107985,0.0005150774,0.00059526594,0.0005553067],"domain_scores_gemma":[0.99808764,0.00014265951,0.0006043791,0.0008251724,0.00009419357,0.00024597565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012933793,0.00043028162,0.0005471608,0.0002876985,0.00017107654,0.000024661394,0.0007811418,0.00021116657,0.00019846756],"category_scores_gemma":[0.00003283474,0.00034314865,0.00033978125,0.0006229351,0.00017838643,0.0001564009,0.00007449517,0.00014232064,0.000004303883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014014394,0.00023680973,0.00028077525,0.0000037379646,0.0002727336,0.0000066411253,0.0011819007,0.18818207,0.017535409,0.76621586,0.0011121042,0.024831804],"study_design_scores_gemma":[0.0017717704,0.00047399793,0.06773676,0.000068897265,0.00022400067,0.000005711101,0.00042421726,0.0012072215,0.27061376,0.08056292,0.5760976,0.0008131104],"about_ca_topic_score_codex":0.16794471,"about_ca_topic_score_gemma":0.011915029,"teacher_disagreement_score":0.685653,"about_ca_system_score_codex":0.00008041069,"about_ca_system_score_gemma":0.00008430203,"threshold_uncertainty_score":0.99990207},"labels":[],"label_agreement":null},{"id":"W2064626635","doi":"10.1016/j.enpol.2010.10.009","title":"The World Energy Congress 2010—A Review Montreal, Canada, 12–16 September 2010","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy Security and Policy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economic history; Economics","score_opus":0.008372304465049468,"score_gpt":0.2434205496355392,"score_spread":0.23504824517048972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064626635","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072024955,0.0118920915,0.0000048939937,0.026757646,0.0058024726,0.00009805561,0.000119147204,0.00022592497,0.9543795],"genre_scores_gemma":[0.17292723,0.012996862,0.00003848162,0.047014378,0.0051326244,0.00019453859,0.00021825713,0.00015363148,0.761324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99597657,0.0003258129,0.0008217209,0.0006532005,0.00072032714,0.0015023474],"domain_scores_gemma":[0.9963884,0.00044773612,0.00037206503,0.0018000851,0.00021437205,0.00077738386],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032888193,0.0006867411,0.00068021746,0.00021900394,0.0007622528,0.00016148882,0.0013613328,0.0003156009,0.0020058372],"category_scores_gemma":[0.00031785827,0.00052031333,0.00033036384,0.00094236,0.00039428004,0.00022551992,0.00030492267,0.0006778569,0.00013896018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012722066,0.000027014916,0.000007997373,0.000019468709,0.00007102824,0.000018060011,0.0000087492,0.00012998386,0.00005711839,0.49108624,0.49229828,0.016263336],"study_design_scores_gemma":[0.00044774616,0.000021626953,0.0004806014,0.00013914672,0.000059571074,0.00008090641,0.000008364487,0.00006645294,0.0014293062,0.006908025,0.9897486,0.0006096627],"about_ca_topic_score_codex":0.995346,"about_ca_topic_score_gemma":0.99976057,"teacher_disagreement_score":0.49745032,"about_ca_system_score_codex":0.00031735466,"about_ca_system_score_gemma":0.0015533858,"threshold_uncertainty_score":0.99972486},"labels":[],"label_agreement":null},{"id":"W2065455003","doi":"10.1016/s0301-4215(01)00051-9","title":"European and Japanese fuel economy initiatives: what they are, their prospects for success, their usefulness as a guide for US action","year":2001,"lang":"en","type":"article","venue":"Energy Policy","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Office of Energy Efficiency and Renewable Energy; Canadian Natural Resources Limited","keywords":"Government (linguistics); Business; Fuel efficiency; Economy; Economics; Industrial organization; Economic policy; Engineering","score_opus":0.02404569405827517,"score_gpt":0.26080111395362693,"score_spread":0.23675541989535176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065455003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9478225,0.000957936,0.0012292025,0.00034875036,0.00021082211,0.00030813258,0.00004095009,0.00023987707,0.048841815],"genre_scores_gemma":[0.99439776,0.0029455468,0.00008406987,0.00039010984,0.00096076913,0.00019584926,0.00002901582,0.00007068841,0.0009261728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921775,0.000024500741,0.00019759893,0.00020384611,0.000035624955,0.00032067424],"domain_scores_gemma":[0.9994558,0.00009562748,0.00006515413,0.00021644842,0.000051719206,0.00011523874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013432706,0.00021307648,0.00018655758,0.00011883055,0.00014990264,0.00014705522,0.00014311259,0.0000629431,0.00001353635],"category_scores_gemma":[0.00003102057,0.00016924796,0.0000641858,0.00011404395,0.000028223812,0.0008791938,0.000033582197,0.00006960947,0.000004237918],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000853937,0.0005436682,0.011266591,0.0030393533,0.0011290547,0.00003834614,0.04338408,0.07566792,0.00897601,0.1073841,0.0074836346,0.7402333],"study_design_scores_gemma":[0.0021003804,0.00021456294,0.022027936,0.0003326509,0.000021939177,0.00009373728,0.0028293645,0.048893627,0.01653031,0.007841042,0.898297,0.0008174204],"about_ca_topic_score_codex":0.0002761449,"about_ca_topic_score_gemma":0.00034249414,"teacher_disagreement_score":0.8908134,"about_ca_system_score_codex":0.00006135185,"about_ca_system_score_gemma":0.000032704,"threshold_uncertainty_score":0.6901731},"labels":[],"label_agreement":null},{"id":"W2065786906","doi":"10.1016/j.enpol.2012.04.019","title":"Energy, emissions and emergency medical services: Policy matters","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Energy policy; Business; Greenhouse gas; Energy consumption; Natural resource economics; Fossil fuel; Energy supply; Consumption (sociology); Environmental economics; Economics; Energy (signal processing); Renewable energy; Engineering; Waste management","score_opus":0.024767166542215825,"score_gpt":0.3221182370395449,"score_spread":0.29735107049732906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065786906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55870897,0.0020713073,0.00029704714,0.23545606,0.00094767794,0.00014015258,0.00007525557,0.0003065115,0.201997],"genre_scores_gemma":[0.943156,0.0041854363,0.0000758505,0.045464788,0.0023792293,0.00002224102,0.000028547987,0.000034886936,0.004653006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998291,0.000054388016,0.00024180846,0.00020662523,0.00036761316,0.00083856663],"domain_scores_gemma":[0.9981731,0.00002964259,0.00007137799,0.0002499546,0.0000037650188,0.0014721364],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016558438,0.00017565631,0.0001547794,0.0001199242,0.00021508447,0.000013395548,0.00021852169,0.00014434208,0.008958187],"category_scores_gemma":[0.000039384176,0.00014806548,0.000040617513,0.0004088741,0.000094668096,0.00026360154,0.00036703734,0.00008558492,0.00021638923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044220087,0.00067946303,0.18582782,0.0002038344,0.000046082816,0.000026278873,0.012475009,0.000028426093,0.005382679,0.08902384,0.4748703,0.23139204],"study_design_scores_gemma":[0.00032073454,0.00004180487,0.057200957,0.000050060622,0.000010552664,0.00006748714,0.00020157354,0.00027007592,0.00040482523,0.003096721,0.938012,0.00032320252],"about_ca_topic_score_codex":0.060093343,"about_ca_topic_score_gemma":0.0019424201,"teacher_disagreement_score":0.4631417,"about_ca_system_score_codex":0.0001653979,"about_ca_system_score_gemma":0.000044582193,"threshold_uncertainty_score":0.99194777},"labels":[],"label_agreement":null},{"id":"W2068094461","doi":"10.1016/s0301-4215(00)00132-4","title":"Participatory rural energy planning in India — a policy context","year":2001,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Work (physics); Context (archaeology); Government (linguistics); Business; Energy policy; Participatory planning; Renewable energy; Economic growth; Rural area; Natural resource; Political science; Engineering; Economics; Geography","score_opus":0.019999233921626555,"score_gpt":0.2698412337071807,"score_spread":0.24984199978555416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068094461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8657575,0.00017275217,0.0001630524,0.0010399757,0.00007450751,0.000028615268,0.0000031525512,0.00007094303,0.13268945],"genre_scores_gemma":[0.9848782,0.00023866404,0.00003602449,0.0077108736,0.00046129242,0.00004426263,0.000015087258,0.000036861282,0.006578746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980095,0.00012894614,0.0003182387,0.0003119719,0.00030716407,0.00092416984],"domain_scores_gemma":[0.9991134,0.000057967376,0.00009437938,0.00036773933,0.0000017187473,0.00036480773],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015154327,0.00027390564,0.00023707992,0.00026809116,0.00013469005,0.000031298747,0.00031782995,0.0001624888,0.0011681248],"category_scores_gemma":[0.00007742514,0.00026712546,0.00007666485,0.00077096914,0.00023942276,0.0003466439,0.00023452922,0.00014144651,0.00022384626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021045875,0.00061742554,0.46275648,0.0000055715677,0.000063132466,0.00050593674,0.004300187,0.2065696,0.0062851445,0.18562977,0.009080963,0.12397532],"study_design_scores_gemma":[0.001017212,0.00011031947,0.63604623,0.000035898476,0.000007479115,0.0000559165,0.00028537944,0.00056237396,0.0029625485,0.0048376503,0.35353658,0.0005424256],"about_ca_topic_score_codex":0.042694252,"about_ca_topic_score_gemma":0.001625195,"teacher_disagreement_score":0.34445563,"about_ca_system_score_codex":0.0005929056,"about_ca_system_score_gemma":0.000058926806,"threshold_uncertainty_score":0.99997807},"labels":[],"label_agreement":null},{"id":"W2069254179","doi":"10.1016/s0301-4215(02)00091-5","title":"The environmental legal and regulatory frameworks. Assessing fairness and efficiency","year":2002,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental law and policy","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Hydropower; Nuclear decommissioning; Legislature; Process (computing); Business; Task (project management); Environmental planning; Environmental law; Risk analysis (engineering); Environmental resource management; Process management; Political science; Economics; Engineering; Law; Computer science","score_opus":0.007211607934142037,"score_gpt":0.25058176459307935,"score_spread":0.2433701566589373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069254179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8773029,0.0033797133,0.000056442914,0.007874848,0.0001412764,0.000063080006,0.0000047900367,0.00004876966,0.111128196],"genre_scores_gemma":[0.985135,0.0022529096,0.00004644976,0.00096682925,0.0006440038,0.000006565115,9.4506015e-7,0.000012464287,0.010934798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998947,0.00014300282,0.00011904272,0.00019219276,0.0002353861,0.00036334197],"domain_scores_gemma":[0.9994729,0.00014813474,0.000050498507,0.00016019534,0.0000016416562,0.00016659194],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00019682448,0.000111665875,0.000089696565,0.00003918241,0.0015143981,0.00023278035,0.00014343207,0.0001562416,0.0000879165],"category_scores_gemma":[0.000043211818,0.000088937995,0.000029084216,0.0000972867,0.0012270291,0.0002537424,0.000093409326,0.00015957373,0.000011393387],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016791787,0.000040219813,0.002475913,0.0000017754646,0.000008557712,0.000003405277,0.003002583,0.0000094931875,0.00024661343,0.89825267,0.00062517275,0.095331915],"study_design_scores_gemma":[0.0001946118,0.000026246624,0.032805715,0.000011384369,0.000009445199,0.000010354839,0.0013175755,0.00018555528,0.00019877082,0.0043504518,0.9606645,0.0002253858],"about_ca_topic_score_codex":0.0040349374,"about_ca_topic_score_gemma":0.00033650262,"teacher_disagreement_score":0.9600393,"about_ca_system_score_codex":0.000096424636,"about_ca_system_score_gemma":0.000022654533,"threshold_uncertainty_score":0.9997855},"labels":[],"label_agreement":null},{"id":"W2069588494","doi":"10.1016/j.enpol.2010.07.046","title":"The energy implications of Chinese regional disparities","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Industrialisation; China; Geography; Economic geography; Energy consumption; Government (linguistics); Development economics; Economic growth; Economy; Political science; Economics; Engineering","score_opus":0.0049347549599649985,"score_gpt":0.24851323689600657,"score_spread":0.24357848193604156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069588494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94910216,0.00003704714,0.00017773428,0.0076352465,0.00006275196,0.000030090156,0.0000089267505,0.000020997775,0.042925067],"genre_scores_gemma":[0.9926726,0.000081872466,0.00009599833,0.00073227525,0.00012475769,0.000027764605,0.000007436563,0.000009241738,0.006248007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928224,0.0000314188,0.00015491902,0.0001398,0.00015250465,0.00023913391],"domain_scores_gemma":[0.99929065,0.000093012284,0.00006092113,0.0004486417,0.0000042372762,0.00010253582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009635192,0.00009947042,0.00008101774,0.000020713911,0.00025120613,0.000016893986,0.00030785435,0.00005171036,0.00030969875],"category_scores_gemma":[0.000080546226,0.00006399271,0.0000688096,0.00019158145,0.0007953134,0.00011267467,0.00018518657,0.00007903395,0.000009957069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013412036,0.00013628365,0.38917598,0.00000201505,0.000011316783,4.1079258e-7,0.00019977655,0.00018472131,0.02572418,0.55948275,0.0046647103,0.020404445],"study_design_scores_gemma":[0.000071748,0.000016361448,0.7697242,3.9458845e-7,0.0000018656457,0.000005805198,0.000024650568,0.000055385866,0.0012155368,0.086178444,0.14262863,0.00007698818],"about_ca_topic_score_codex":0.01603543,"about_ca_topic_score_gemma":0.004787405,"teacher_disagreement_score":0.4733043,"about_ca_system_score_codex":0.00008084334,"about_ca_system_score_gemma":0.000022427195,"threshold_uncertainty_score":0.9905169},"labels":[],"label_agreement":null},{"id":"W2070582934","doi":"10.1016/j.enpol.2007.09.002","title":"Electricity sector integration in West Africa","year":2007,"lang":"en","type":"article","venue":"Energy Policy","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Electricity; Commission; Vertical integration; Business; Energy sector; Economics; Economic integration; Economic system; Economic growth; Development economics; Industrial organization; International trade; Engineering; Finance","score_opus":0.020265737225849487,"score_gpt":0.38393642907758774,"score_spread":0.3636706918517382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070582934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62373406,0.00006781443,0.0021985667,0.0010507142,0.00012612763,0.00008975551,0.0000034335958,0.00005983221,0.37266967],"genre_scores_gemma":[0.99360913,0.000081354796,0.00007609173,0.0004043679,0.00043456303,0.0000054133757,0.0000061771225,0.000011806733,0.0053711194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872667,0.00012210019,0.00017626693,0.00016548246,0.00028497734,0.00052450254],"domain_scores_gemma":[0.99957633,0.000070702576,0.00006259061,0.00012290641,0.0000073908477,0.00016006657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005719106,0.00010042326,0.00009832336,0.00025895424,0.0001470571,0.000035126493,0.0001627163,0.00009638588,0.00058572605],"category_scores_gemma":[0.00021674842,0.000100309,0.000039657243,0.0007817022,0.00011773647,0.00020053292,0.000025419991,0.000101732694,0.00009487206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013488771,0.0009748395,0.02493362,0.0000052901732,0.00003463807,0.00005107036,0.044717867,0.000261943,0.055155944,0.7815995,0.0065335277,0.08559686],"study_design_scores_gemma":[0.001559433,0.0003776416,0.15474524,0.00005099879,0.000017560094,0.0000041229073,0.0063709286,0.00027552102,0.070451684,0.008900749,0.7562582,0.0009879124],"about_ca_topic_score_codex":0.07696606,"about_ca_topic_score_gemma":0.06104928,"teacher_disagreement_score":0.77269876,"about_ca_system_score_codex":0.0010279465,"about_ca_system_score_gemma":0.00011538461,"threshold_uncertainty_score":0.95608413},"labels":[],"label_agreement":null},{"id":"W2070921725","doi":"10.1016/s0301-4215(01)00083-0","title":"Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector","year":2002,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Office of Energy Efficiency; Division of Materials Research; Natural Resources Canada","keywords":"Energy intensity; Intensity (physics); Efficient energy use; Environmental economics; Aggregate (composite); Energy (signal processing); Econometrics; Composite indicator; Economic indicator; Environmental science; Computer science; Environmental resource management; Economics; Engineering; Statistics; Mathematics","score_opus":0.0241449887454802,"score_gpt":0.2311831147061158,"score_spread":0.2070381259606356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070921725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602525,0.0000119207125,0.000025305075,0.0032252024,0.000050195456,0.00041658749,0.000042018903,0.00001996533,0.035956267],"genre_scores_gemma":[0.9972778,0.0000020794826,0.000072315655,0.0017945764,0.00041155564,0.000079628735,0.00000936647,0.000015252704,0.0003374073],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99839276,0.00016537124,0.00025453122,0.00029761175,0.00040608438,0.00048361422],"domain_scores_gemma":[0.99891174,0.000083155406,0.00015088882,0.00053688715,0.0000039186716,0.0003134188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038239858,0.00017487748,0.0001894145,0.000102059006,0.00054174906,0.000045321605,0.00059434946,0.000099591925,0.000075330536],"category_scores_gemma":[0.00023813336,0.00010665483,0.00008708417,0.0007763326,0.0005412837,0.00009602969,0.00033703473,0.00031003318,0.000060352264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041784073,0.002340361,0.3404736,0.000034895624,0.00032119598,0.00002403539,0.10652658,0.032207333,0.006229242,0.009486618,0.09600574,0.40593255],"study_design_scores_gemma":[0.0024478256,0.00041811992,0.5022308,0.000041486095,0.00008892082,0.000043474447,0.0039308905,0.013336354,0.018149627,0.0010603523,0.45706797,0.0011841469],"about_ca_topic_score_codex":0.3894089,"about_ca_topic_score_gemma":0.025449619,"teacher_disagreement_score":0.4047484,"about_ca_system_score_codex":0.00084694935,"about_ca_system_score_gemma":0.000044213033,"threshold_uncertainty_score":0.9923334},"labels":[],"label_agreement":null},{"id":"W2071134218","doi":"10.1016/j.enpol.2006.01.005","title":"Challenges to a climate stabilizing energy future","year":2006,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; University of Pittsburgh; U.S. Department of Energy","keywords":"Renewable energy; Credibility; Climate change; Environmental economics; Fossil fuel; Natural resource economics; Energy (signal processing); Global warming; Energy technology; Environmental impact of the energy industry; Climate change mitigation; Environmental science; Economics; Energy policy; Engineering; Ecology; Waste management","score_opus":0.016675203249842094,"score_gpt":0.28938801181327906,"score_spread":0.27271280856343694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071134218","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046341863,0.004477174,0.00030244712,0.028598558,0.00047795346,0.00010620054,0.000025403138,0.0006717316,0.91899866],"genre_scores_gemma":[0.9840032,0.0011470766,0.00031813188,0.0016946385,0.004462769,0.00014176816,0.000049692077,0.000081753635,0.008100991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964082,0.00028781977,0.0004490952,0.00075868925,0.0005479238,0.0015482695],"domain_scores_gemma":[0.99826753,0.0001045014,0.000067815636,0.0009233008,0.00022784532,0.0004089923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032430774,0.0004012389,0.00040625397,0.00051741966,0.0003261445,0.00009616187,0.0005753882,0.0002971002,0.00018558442],"category_scores_gemma":[0.00014402522,0.00037785314,0.00021057593,0.0010236962,0.00010707298,0.00019412725,0.000384431,0.00017884617,0.00007818642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007994859,0.00013293755,0.000053006457,0.000028589664,0.0000223974,0.000038667975,0.00015623978,0.011535903,0.00041957368,0.8461078,0.0011043729,0.1403206],"study_design_scores_gemma":[0.00039393085,0.0001229358,0.0014769103,0.000015243279,0.0000069839466,0.000018753479,0.00061398494,0.00020633846,0.002312842,0.09689129,0.8975202,0.00042057486],"about_ca_topic_score_codex":0.085627176,"about_ca_topic_score_gemma":0.045946784,"teacher_disagreement_score":0.9376613,"about_ca_system_score_codex":0.00046623265,"about_ca_system_score_gemma":0.00024772697,"threshold_uncertainty_score":0.9998673},"labels":[],"label_agreement":null},{"id":"W2071232075","doi":"10.1016/j.enpol.2011.07.038","title":"A comparison of four methods to evaluate the effect of a utility residential air-conditioner load control program on peak electricity use","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Thermostat; Air conditioning; Control (management); Event (particle physics); Operations management; Electricity; Peak load; Regression analysis; Demand response; Statistics; Cycling; Econometrics; Environmental economics; Operations research; Agricultural economics; Economics; Engineering; Mathematics; Geography; Automotive engineering","score_opus":0.04281479025599804,"score_gpt":0.355821444402578,"score_spread":0.31300665414657997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071232075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.923384,0.00009175851,0.0643203,0.00013745674,0.0004208118,0.00075493765,0.000019238278,0.00034420838,0.010527281],"genre_scores_gemma":[0.99710083,0.000004566687,0.0021478499,0.00010264363,0.00018830365,0.00029675566,0.000004928594,0.000037453647,0.00011664263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978209,0.00070538785,0.00045827916,0.00023372106,0.00040451426,0.00037719295],"domain_scores_gemma":[0.9986949,0.0003823885,0.000091799746,0.000638521,0.00009324956,0.00009917387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010056155,0.00024806216,0.00048487505,0.0002677427,0.000054655757,0.0000147069895,0.00032968796,0.00008342527,0.000052292824],"category_scores_gemma":[0.00047870007,0.00018350239,0.0001808142,0.0005998114,0.00007038992,0.00008456913,0.00007043474,0.00014488662,0.00000843299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002269002,0.0009091676,0.0089400215,0.00032807933,0.002299316,0.0000113810165,0.0021119497,0.7401682,0.025523266,0.03698919,0.022527657,0.15792273],"study_design_scores_gemma":[0.002207005,0.0020633773,0.24600334,0.00005184711,0.00033760487,0.0000025152058,0.000015850817,0.12711087,0.6078954,0.0004851215,0.013439792,0.00038732897],"about_ca_topic_score_codex":0.0061949254,"about_ca_topic_score_gemma":0.00036565136,"teacher_disagreement_score":0.6130574,"about_ca_system_score_codex":0.00014679944,"about_ca_system_score_gemma":0.000040633207,"threshold_uncertainty_score":0.93649155},"labels":[],"label_agreement":null},{"id":"W2072184731","doi":"10.1016/j.enpol.2011.02.035","title":"Institutions and processes for scaling up renewables: Run-of-river hydropower in British Columbia","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hydropower; Renewable energy; Scaling; Environmental science; Natural resource economics; Geography; Economics; Engineering","score_opus":0.04106672699204362,"score_gpt":0.30772840614235075,"score_spread":0.26666167915030714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072184731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412075,0.0009937126,0.0008761392,0.00017640686,0.00040374164,0.00018263522,0.000031775875,0.00009194985,0.056036133],"genre_scores_gemma":[0.98861367,0.0013073859,0.0017189217,0.00016915154,0.00042558293,0.00008098048,0.0000061180635,0.000018243507,0.0076599233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988865,0.000058218855,0.00024146006,0.00025059018,0.00016350303,0.0003997021],"domain_scores_gemma":[0.99939805,0.00009360149,0.00011256171,0.00011100329,0.00016045579,0.000124337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020831083,0.00008405666,0.00021843001,0.000114024406,0.00044625264,0.00010373011,0.00024034105,0.00015413773,0.00008993987],"category_scores_gemma":[0.00072988495,0.0001375842,0.00004971512,0.0008486113,0.0007772084,0.00035565274,0.00005200766,0.000036292888,4.284074e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006505189,0.00063652266,0.124241754,0.00026198872,0.00013499623,0.00002240347,0.072358936,0.001075847,0.00027422688,0.4260767,0.0107069975,0.36414456],"study_design_scores_gemma":[0.003895206,0.0002148668,0.04796281,0.0008406885,0.000087972476,0.000012177453,0.056681886,0.000094347524,0.0024764424,0.28688237,0.5992022,0.0016490163],"about_ca_topic_score_codex":0.9047624,"about_ca_topic_score_gemma":0.9664979,"teacher_disagreement_score":0.5884952,"about_ca_system_score_codex":0.00012786932,"about_ca_system_score_gemma":0.0012146265,"threshold_uncertainty_score":0.5610521},"labels":[],"label_agreement":null},{"id":"W2074414708","doi":"10.1016/j.enpol.2013.03.035","title":"Nuclear power, India, and social justice","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Power (physics); Nuclear power; Political science; Social justice; Sociology; Criminology; Development economics; Economics; Physics; Nuclear physics","score_opus":0.008661243049959137,"score_gpt":0.2578986695066984,"score_spread":0.24923742645673924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074414708","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30835813,0.000042451287,0.000040485604,0.038788375,0.00017584777,0.00011647979,0.0000031538768,0.00018837911,0.6522867],"genre_scores_gemma":[0.9865893,0.00003127284,0.00008284684,0.0053582583,0.00069353613,0.000010376061,0.0000011755993,0.000016113547,0.00721712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910706,0.00009977433,0.00009270672,0.00015019679,0.00021100549,0.00033927077],"domain_scores_gemma":[0.999743,0.00001960318,0.000030246505,0.0000848626,0.000019800831,0.00010248702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010562471,0.000081193546,0.00008586425,0.00010861521,0.00073094195,0.00023321073,0.000190147,0.000065242166,0.00059627194],"category_scores_gemma":[0.000018519737,0.000082387,0.00003188347,0.0001709799,0.00029335506,0.000162884,0.00006880691,0.00005881163,0.00018438463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018395307,0.000019961026,0.00010898452,0.0000068805266,0.000015759788,0.0000017978797,0.031612143,0.0000013497469,0.000042691296,0.93807566,0.014938494,0.015174459],"study_design_scores_gemma":[0.00013905262,0.0000145728545,0.009257325,0.000001811578,0.000011657314,3.452191e-7,0.0033525259,0.0000039927404,0.0000053530625,0.0041701067,0.98293984,0.00010341448],"about_ca_topic_score_codex":0.034251377,"about_ca_topic_score_gemma":0.00047128572,"teacher_disagreement_score":0.96800137,"about_ca_system_score_codex":0.00006858722,"about_ca_system_score_gemma":0.00004852217,"threshold_uncertainty_score":0.97217965},"labels":[],"label_agreement":null},{"id":"W2074597055","doi":"10.1016/j.enpol.2013.04.031","title":"Past performance and future needs for low carbon climate resilient infrastructure– An investment perspective","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Investment (military); Natural resource economics; Business; Climate change; Climate change mitigation; Carbon price; Critical infrastructure; Marginal abatement cost; Environmental economics; Economics; Finance","score_opus":0.017823434137322455,"score_gpt":0.2233166696864377,"score_spread":0.20549323554911525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074597055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94834244,0.0005486618,0.000018803928,0.0038689803,0.0003405465,0.0002293421,0.0002231975,0.000045360634,0.046382662],"genre_scores_gemma":[0.9893044,0.0027152123,0.00033327378,0.003723117,0.0032158797,0.0002185299,0.000057071855,0.000050760358,0.00038173038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986236,0.000009925379,0.00039875373,0.00038754474,0.000022027436,0.0005581401],"domain_scores_gemma":[0.9991442,0.000021613268,0.00022537204,0.00034756813,0.000040386978,0.00022088643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013004002,0.00023960434,0.00034940164,0.0004793154,0.00017606026,0.00012128773,0.00017266325,0.00015144434,0.0001000122],"category_scores_gemma":[0.000019136343,0.00026296632,0.00007043049,0.00020648359,0.00008621488,0.00034960272,0.0000958679,0.000095391995,0.000029543626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026123707,0.00004387112,0.0105162505,0.000047502745,0.00003464384,1.935788e-7,0.0035667962,0.00019222652,0.000022569566,0.982935,0.00097204203,0.0016427602],"study_design_scores_gemma":[0.0035993936,0.0011316728,0.26544192,0.000048443224,0.00002838775,0.000037326383,0.010793471,0.06823287,0.0007614231,0.34294045,0.30497915,0.0020054986],"about_ca_topic_score_codex":0.004072841,"about_ca_topic_score_gemma":0.00013620695,"teacher_disagreement_score":0.63999456,"about_ca_system_score_codex":0.00034409054,"about_ca_system_score_gemma":0.000025000938,"threshold_uncertainty_score":0.99998224},"labels":[],"label_agreement":null},{"id":"W2076371332","doi":"10.1016/j.enpol.2007.04.006","title":"Electricity market price volatility: The case of Ontario","year":2007,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"","keywords":"Volatility (finance); Electricity; Electricity market; Economics; Electricity price; Volatility swap; Volatility smile; Financial economics; Econometrics; Implied volatility; Engineering","score_opus":0.007850362691639337,"score_gpt":0.2157781559530746,"score_spread":0.20792779326143526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076371332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6694437,0.00019809564,0.0051763174,0.00003231382,0.00015237274,0.000023861036,0.0000031446573,0.00010266311,0.32486752],"genre_scores_gemma":[0.99453557,0.000010861829,0.00027874936,0.00010848465,0.0003009496,0.0000024293847,0.000002154716,0.000020196569,0.0047406256],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923205,0.000019197792,0.00023095666,0.00009926216,0.00008019908,0.00033833258],"domain_scores_gemma":[0.9994625,0.00015052398,0.000039145845,0.0002476957,0.000026352687,0.00007379051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215558,0.0001252888,0.00012771357,0.00011973086,0.00007262109,0.000011327408,0.00013214632,0.00007056319,0.00012760978],"category_scores_gemma":[0.000050652445,0.000097764,0.00006293236,0.00042408204,0.000031772877,0.000058224578,0.000029006884,0.00015339859,0.000001384909],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002072083,0.00026128496,0.014060237,0.00023260745,0.00076109095,0.0019444623,0.017557023,0.048084278,0.008208475,0.37656215,0.02497201,0.50714916],"study_design_scores_gemma":[0.0006388419,0.00011279968,0.015023092,0.00005112027,0.00004973855,0.0015943678,0.000105652616,0.068389125,0.0567833,0.0033751281,0.85320354,0.00067326764],"about_ca_topic_score_codex":0.14557299,"about_ca_topic_score_gemma":0.17672434,"teacher_disagreement_score":0.8282316,"about_ca_system_score_codex":0.00024356997,"about_ca_system_score_gemma":0.00011126211,"threshold_uncertainty_score":0.8601167},"labels":[],"label_agreement":null},{"id":"W2077387799","doi":"10.1016/j.enpol.2012.05.050","title":"The role of conventional power plants in a grid fed mainly by PV and storage, and the largest shadow capacity requirement","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Philomathia Foundation","keywords":"Energy storage; Photovoltaic system; Environmental science; Grid; Shadow (psychology); Nameplate capacity; Environmental economics; Power (physics); Electrical engineering; Natural resource economics; Business; Engineering; Economics; Electricity generation; Mathematics; Physics","score_opus":0.003840122528967229,"score_gpt":0.182171312798916,"score_spread":0.17833119026994876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077387799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959548,0.030561246,0.0010605868,0.0010331003,0.00041465813,0.00021976711,0.0001554208,0.00005537184,0.0069518276],"genre_scores_gemma":[0.998692,0.0009333036,0.00003712399,0.00008197643,0.00013593947,0.000015382724,0.000010982889,0.000007780578,0.00008550625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995487,0.000040259012,0.000120123426,0.000052351344,0.000070296315,0.00016831717],"domain_scores_gemma":[0.9998012,0.000047455134,0.000028209412,0.00007630948,0.000008798499,0.000038031907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020013304,0.00006996561,0.00008756208,0.000032150994,0.00005546151,0.00001797934,0.000050522387,0.00003307975,0.000009575246],"category_scores_gemma":[0.00001587046,0.0000447526,0.000016848939,0.000048499714,0.00006528666,0.00006859571,0.000022319808,0.000048657053,5.710051e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006089948,0.00027832252,0.022370767,0.000071731236,0.00052305486,0.0000020468026,0.0061220475,0.016813347,0.04203211,0.87483054,0.01402589,0.022321135],"study_design_scores_gemma":[0.014888352,0.00013901954,0.10050024,0.00012411027,0.000077419325,0.00006170867,0.0009454129,0.18001634,0.018423496,0.0083810575,0.6754925,0.00095032516],"about_ca_topic_score_codex":0.0007153451,"about_ca_topic_score_gemma":0.00014899102,"teacher_disagreement_score":0.8664495,"about_ca_system_score_codex":0.000023567121,"about_ca_system_score_gemma":0.000007773097,"threshold_uncertainty_score":0.1824958},"labels":[],"label_agreement":null},{"id":"W2079118851","doi":"10.1016/j.enpol.2012.02.011","title":"Response to Weitzel on our paper “Comparing the feed-in tariff incentives for renewable electricity in Ontario and Germany” by Mabee, Mannion, and Carpenter","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Tariff; Feed-in tariff; Incentive; Electricity; Renewable energy; Economics; Natural resource economics; Business; Environmental economics; Engineering; Energy policy; International economics; Market economy; Electrical engineering","score_opus":0.04527333405740387,"score_gpt":0.25269624434845744,"score_spread":0.20742291029105359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079118851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98568726,0.0007062392,0.000038259048,0.008021142,0.00011117899,0.00016420489,0.0000538579,0.000008828578,0.005209013],"genre_scores_gemma":[0.9919108,0.0004258322,0.000048022677,0.0038489013,0.00014469553,0.00009226479,0.000011180665,0.000021918484,0.0034963742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876714,0.00003177364,0.00035405924,0.00029435352,0.000015582142,0.0005370964],"domain_scores_gemma":[0.9994795,0.00010087734,0.00010424058,0.00019617671,0.0000064591813,0.000112793154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000680717,0.00016081626,0.00030557762,0.0003903687,0.00010107889,0.000064992666,0.00012364543,0.00008516108,0.00001870372],"category_scores_gemma":[0.000094932504,0.00016151795,0.00003583574,0.00017492016,0.000019469686,0.00023200276,0.00009797859,0.0001176757,0.000013782401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017038615,0.0003499111,0.8369119,0.00002695743,0.000057739013,0.0000011066187,0.012054435,0.00045724877,0.0005040869,0.1306767,0.0162826,0.00097341137],"study_design_scores_gemma":[0.0011512951,0.00008442018,0.50388336,0.000016142523,0.0000024772587,0.0000029894254,0.0001801327,0.00040166383,0.00030422764,0.005408652,0.4882929,0.0002717448],"about_ca_topic_score_codex":0.24893047,"about_ca_topic_score_gemma":0.20250292,"teacher_disagreement_score":0.4720103,"about_ca_system_score_codex":0.00045692577,"about_ca_system_score_gemma":0.000023934188,"threshold_uncertainty_score":0.8120493},"labels":[],"label_agreement":null},{"id":"W2080289943","doi":"10.1016/j.enpol.2014.01.048","title":"Social responses to wind energy development in Ontario: The influence of health risk perceptions and associated concerns","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Legislation; Incentive; Perception; Public health; Public relations; Political science; Risk perception; Public economics; Business; Environmental health; Psychology; Medicine; Economics; Nursing; Law","score_opus":0.025849910540978353,"score_gpt":0.3272576766717378,"score_spread":0.3014077661307594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080289943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912757,0.00004516037,0.00009637378,0.0037994788,0.000066347166,0.00007000903,0.0000055529313,0.000039982293,0.0046013948],"genre_scores_gemma":[0.9926529,0.00013255546,0.00016156872,0.0017911892,0.0002799608,0.00003409913,0.0000048967304,0.0000165058,0.004926332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969824,0.0013124375,0.0004283654,0.00027373908,0.00044831802,0.0005547454],"domain_scores_gemma":[0.99886,0.00040621968,0.0003044133,0.0001503614,0.00011882463,0.00016018779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014377023,0.00016064836,0.0003340242,0.00022348925,0.0012025457,0.00005540324,0.00036853022,0.00014977295,0.000052659165],"category_scores_gemma":[0.001305192,0.00014692161,0.000054646393,0.000804061,0.00043112246,0.0001358366,0.00011646253,0.00013867738,0.00000212636],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071613795,0.00015894024,0.21165706,0.00000448477,0.000081713086,9.873276e-7,0.20773154,0.005472214,0.00021796869,0.41199556,0.0020672188,0.1605407],"study_design_scores_gemma":[0.00028984854,0.00004868409,0.82097685,0.000026081296,0.0000048409906,1.5510682e-7,0.005944368,0.000005766038,0.000041964286,0.0039733225,0.16851182,0.00017629539],"about_ca_topic_score_codex":0.9574341,"about_ca_topic_score_gemma":0.9902236,"teacher_disagreement_score":0.6093198,"about_ca_system_score_codex":0.0012436749,"about_ca_system_score_gemma":0.002597367,"threshold_uncertainty_score":0.9249131},"labels":[],"label_agreement":null},{"id":"W2080372891","doi":"10.1016/j.enpol.2008.09.028","title":"Enabling technologies for industrial energy demand management","year":2008,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Manchester; Natural Resources Canada; University of Oxford; UK Energy Research Centre","keywords":"Environmental economics; Emerging technologies; Secondary sector of the economy; Exergy; Energy conservation; Process (computing); Engineering; Efficient energy use; Computer science; Process engineering; Economics; Economy","score_opus":0.03366143243394105,"score_gpt":0.2526753647221262,"score_spread":0.21901393228818516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080372891","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021656761,0.003505944,0.13342407,0.0076145804,0.0025159647,0.00059605297,0.00003208232,0.004825836,0.82582873],"genre_scores_gemma":[0.95032084,0.0025445814,0.0018562955,0.0011895896,0.0011484196,0.0005113569,0.00005538737,0.00007406006,0.042299464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783,0.000052744068,0.00042625717,0.0005678678,0.0003097925,0.0008133937],"domain_scores_gemma":[0.9989866,0.00009322565,0.00013969056,0.0006349273,0.00005197688,0.00009359416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017041694,0.00034446706,0.0003227317,0.0007628561,0.00051044574,0.00003988314,0.0005956539,0.0002794018,0.000038456426],"category_scores_gemma":[0.00011014357,0.00032488725,0.00019036906,0.00084359205,0.00018678879,0.00015561527,0.00032812872,0.00010622985,0.00001252114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047859576,0.000118081836,0.000013103078,0.000012155205,0.000121160985,0.00003892263,0.000055439148,0.014127009,0.00011770978,0.8481243,0.009075062,0.12814915],"study_design_scores_gemma":[0.001386771,0.000112784954,0.000021485463,0.000024696252,0.00003510228,0.000015867618,0.00019336386,0.00072358875,0.016321348,0.019789292,0.96098053,0.0003951655],"about_ca_topic_score_codex":0.004258204,"about_ca_topic_score_gemma":0.00036187033,"teacher_disagreement_score":0.9519055,"about_ca_system_score_codex":0.00016295875,"about_ca_system_score_gemma":0.000073948184,"threshold_uncertainty_score":0.9999203},"labels":[],"label_agreement":null},{"id":"W2082938343","doi":"10.1016/j.enpol.2014.09.001","title":"Allocating greenhouse gas emissions in the German federal system: Regional interests and federal climate governance","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Environment","keywords":"Federalism; Emissions trading; Energy policy; Greenhouse gas; Economics; Corporate governance; Veto; German; Politics; Joint Implementation; Economic policy; Renewable energy; Negotiation; Public economics; Business; Political science; Finance","score_opus":0.049402934286901144,"score_gpt":0.2658052453483642,"score_spread":0.21640231106146304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082938343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9427332,0.0006738217,0.0001303811,0.010491405,0.00019671164,0.00009368505,0.00010205117,0.000061710656,0.045517012],"genre_scores_gemma":[0.99382097,0.0012072109,0.00009851515,0.0035773779,0.00083879585,0.000039708957,0.000022022146,0.000033761986,0.00036165875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847084,0.000047338945,0.0005571804,0.00036947225,0.000033571203,0.00052157295],"domain_scores_gemma":[0.999087,0.00012614408,0.0003205794,0.00034966532,0.0000080880345,0.00010855138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004949805,0.00019989385,0.00033881215,0.00012609232,0.0003170496,0.0001956628,0.0003104419,0.00010758161,0.000024882685],"category_scores_gemma":[0.00010088933,0.00019044131,0.00008148654,0.00015623803,0.000075541175,0.00019652321,0.0001439392,0.0001619147,0.000066032946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013352649,0.000036799032,0.0120826,0.000051593935,0.000011366451,0.0000030049312,0.0016739443,0.000051683615,0.0000076140186,0.9833449,0.0014170313,0.0013060967],"study_design_scores_gemma":[0.0046646246,0.000366313,0.21831279,0.000674955,0.000015708492,0.0005286346,0.0019831893,0.10207931,0.00009007231,0.14968272,0.5193375,0.002264211],"about_ca_topic_score_codex":0.012332369,"about_ca_topic_score_gemma":0.005129394,"teacher_disagreement_score":0.8336622,"about_ca_system_score_codex":0.00018809651,"about_ca_system_score_gemma":0.000017666036,"threshold_uncertainty_score":0.9942446},"labels":[],"label_agreement":null},{"id":"W2083593405","doi":"10.1016/j.enpol.2009.10.032","title":"Long-term uncertainty evaluation of pool electricity markets","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Term (time); Electricity; Economics; Natural resource economics; Electricity market; Business; Environmental economics; Engineering; Physics","score_opus":0.009904219640855918,"score_gpt":0.2551104251714278,"score_spread":0.24520620553057187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083593405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80072767,0.0022860374,0.10980665,0.0002690352,0.00037019415,0.00038336488,0.00000876473,0.00063952303,0.08550877],"genre_scores_gemma":[0.99928397,0.00010884713,0.000088330584,0.00007339901,0.00019328053,0.0000127675285,0.000027007893,0.000018078132,0.00019431762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988786,0.00010578025,0.00026050568,0.00013040524,0.00036565377,0.00025908247],"domain_scores_gemma":[0.99946576,0.000029655037,0.00006416338,0.00024054784,0.00014108843,0.000058761212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034981754,0.00013254266,0.00016524017,0.0003093723,0.000026458076,0.000013105656,0.00013205034,0.00009206757,0.00004715573],"category_scores_gemma":[0.00012187692,0.00014018155,0.00005033517,0.00076417724,0.000008468176,0.000103387094,0.0000064251644,0.00006205365,0.0000047848816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001910304,0.00005758472,0.00041420464,0.00002569988,0.00006493108,0.0000016653329,0.00012529804,0.7742144,0.0070105554,0.0066238665,0.0016107943,0.20983188],"study_design_scores_gemma":[0.00084000785,0.00009555073,0.07145021,0.000042215084,0.000065375716,0.00001574882,0.0000020098187,0.8884429,0.03737032,0.0011197748,0.0002557835,0.00030013677],"about_ca_topic_score_codex":0.00014942285,"about_ca_topic_score_gemma":0.00003071087,"teacher_disagreement_score":0.20953175,"about_ca_system_score_codex":0.0003884251,"about_ca_system_score_gemma":0.00011932339,"threshold_uncertainty_score":0.57164377},"labels":[],"label_agreement":null},{"id":"W2084062149","doi":"10.1016/j.enpol.2009.10.036","title":"Renewable energy costs, potentials, barriers: Conceptual issues","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":314,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Renewable energy; Renewable energy credit; Energy engineering; Natural resource economics; Environmental economics; Environmental impact of the energy industry; Energy policy; Feed-in tariff; Energy development; Climate change mitigation; Climate change; Economics; Business; Engineering; Ecology","score_opus":0.011673693445454396,"score_gpt":0.28998127726805417,"score_spread":0.2783075838225998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084062149","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01749656,0.005793871,0.0021275945,0.020420099,0.0005737518,0.00014061794,0.000045310422,0.0010483845,0.95235384],"genre_scores_gemma":[0.88706046,0.0005941674,0.0001915174,0.005633783,0.0016223841,0.000032460564,0.00010469085,0.000047003286,0.10471356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960822,0.0004712536,0.0005381647,0.0007387776,0.00070999854,0.0014596219],"domain_scores_gemma":[0.99765617,0.00009254026,0.00010675087,0.0009902781,0.00031891314,0.0008353629],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031061895,0.00046329413,0.00053128024,0.00041011465,0.00047200426,0.00016658561,0.00080738676,0.00040753096,0.0015472001],"category_scores_gemma":[0.0008086367,0.0004499304,0.00027320502,0.0011358673,0.00044436293,0.00038052775,0.00018075579,0.00021501006,0.00006585891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001234657,0.00010742356,0.000031554377,0.0000042500837,0.00006316564,0.00007599459,0.00021464888,0.019577067,0.0012110769,0.9068642,0.026454058,0.045273088],"study_design_scores_gemma":[0.0007086077,0.0002796089,0.00011370579,0.00001591059,0.000013842534,0.00002234778,0.000789824,0.0004901666,0.013688239,0.14155808,0.84186304,0.0004566365],"about_ca_topic_score_codex":0.39732322,"about_ca_topic_score_gemma":0.0112547595,"teacher_disagreement_score":0.8695639,"about_ca_system_score_codex":0.0006490894,"about_ca_system_score_gemma":0.00074389717,"threshold_uncertainty_score":0.99979526},"labels":[],"label_agreement":null},{"id":"W2084187431","doi":"10.1016/j.enpol.2011.01.033","title":"Ontario feed-in-tariff programs","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Government of Ontario","keywords":"Tariff; Photovoltaic system; Feed-in tariff; Electricity; Legislation; Wind power; Sustainability; Mains electricity; Business; Engineering; Environmental economics; Operations management; Renewable energy; Economics; Political science; Energy policy; Electrical engineering","score_opus":0.013491096838216027,"score_gpt":0.17685306958703353,"score_spread":0.1633619727488175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084187431","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07369931,0.00025766864,0.021626683,0.000038441907,0.0005409107,0.00014716355,7.4352926e-7,0.00074436277,0.90294474],"genre_scores_gemma":[0.9936591,0.000013103857,0.0014026547,0.00004507359,0.00011331723,0.000039040337,0.0000083323885,0.000030754123,0.0046886303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931085,0.000013899467,0.00017156862,0.00011570244,0.00008178847,0.0003061771],"domain_scores_gemma":[0.9997075,0.0000048863258,0.000018710381,0.00019097042,0.000012975234,0.000064918226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004755293,0.00011698535,0.00011845648,0.00022056789,0.000016306194,0.000014490928,0.0001271091,0.00008451455,0.000080152735],"category_scores_gemma":[0.000006355609,0.00012394214,0.000030785475,0.00041145965,0.000009318361,0.00009936029,0.000013726928,0.0000892611,0.000040913335],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006565325,0.00072459585,0.097241685,0.00016628121,0.00039128796,0.00019675045,0.04445835,0.08135705,0.001161308,0.48395783,0.009216495,0.28106272],"study_design_scores_gemma":[0.004088316,0.0006603416,0.12909773,0.00033299762,0.000066607536,0.00020105133,0.00016444775,0.11133612,0.025702404,0.009854744,0.71519256,0.0033027006],"about_ca_topic_score_codex":0.1603373,"about_ca_topic_score_gemma":0.13336666,"teacher_disagreement_score":0.9199598,"about_ca_system_score_codex":0.00038555675,"about_ca_system_score_gemma":0.00007937065,"threshold_uncertainty_score":0.8824471},"labels":[],"label_agreement":null},{"id":"W2085174144","doi":"10.1016/j.enpol.2011.05.047","title":"Examining the financial performance of micro-generation wind projects and the subsidy effect of feed-in tariffs for urban locations in the United Kingdom","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tariff; Wind power; Subsidy; Revenue; Feed-in tariff; Electricity; Environmental economics; Renewable energy; Business; Economics; Incentive; Net present value; Finance; Engineering; Energy policy; Production (economics); Microeconomics; International economics","score_opus":0.0637757302332424,"score_gpt":0.22584740363330502,"score_spread":0.16207167340006262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085174144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957178,0.000101764155,0.00011992066,0.00020684986,0.00008008108,0.0002405561,0.000009053929,0.0000030567287,0.003520902],"genre_scores_gemma":[0.9993593,0.00011947502,0.000067459536,0.00017647418,0.00015466464,0.000059699014,0.000012945647,0.000010825265,0.00003914915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992322,0.000057606805,0.00039149777,0.0001407206,0.000015912941,0.000162099],"domain_scores_gemma":[0.99924976,0.00025099932,0.00024906706,0.0002253265,0.000014082133,0.000010758653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013414535,0.00009424868,0.00023059417,0.00028810903,0.000099132674,0.000019777954,0.00020457635,0.000063530206,0.000003518962],"category_scores_gemma":[0.0002223223,0.0000612282,0.000039559054,0.00037162146,0.00014745389,0.0000831205,0.000027817965,0.000077862445,7.3788345e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045758774,0.000101502956,0.37834418,0.00009436279,0.000036370475,3.0286876e-7,0.025538791,0.0024516382,0.00021299942,0.5885049,0.00022504976,0.0040323026],"study_design_scores_gemma":[0.008007077,0.0008814546,0.78719026,0.00009728012,0.000043000608,0.000008121319,0.00049644127,0.176535,0.010944049,0.00496368,0.0102861095,0.00054752943],"about_ca_topic_score_codex":0.00898037,"about_ca_topic_score_gemma":0.0014640889,"teacher_disagreement_score":0.5835413,"about_ca_system_score_codex":0.000035753423,"about_ca_system_score_gemma":0.000042949312,"threshold_uncertainty_score":0.9976189},"labels":[],"label_agreement":null},{"id":"W2086036392","doi":"10.1016/j.enpol.2014.05.015","title":"Promoting low-carbon transitions from a two-world regime: Hydro and wind in Québec, Canada","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hydroelectricity; Wind power; Renewable energy; Complementarity (molecular biology); Competition (biology); Business; Engineering; Environmental economics; Natural resource economics; Economics; Ecology; Electrical engineering","score_opus":0.006866991374407146,"score_gpt":0.24552508843937398,"score_spread":0.23865809706496685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086036392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828251,0.00027864138,0.000013498275,0.022154605,0.00018595063,0.000063004634,0.00000655172,0.0000672529,0.0944054],"genre_scores_gemma":[0.9925196,0.000050001112,0.000078173325,0.0013751911,0.002002542,0.000013768914,0.0000071270983,0.000023258885,0.0039303307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983861,0.00027335595,0.00021443196,0.00030814752,0.0003248884,0.00049309427],"domain_scores_gemma":[0.99927527,0.00021591781,0.00008670572,0.0001720978,0.000031624775,0.00021840664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196118,0.00015095666,0.0002315664,0.00016408873,0.00033365958,0.000060212347,0.00022398788,0.00007788026,0.00006592728],"category_scores_gemma":[0.00029479,0.0001703622,0.000038130314,0.0007584454,0.00019102838,0.00013511837,0.000031515072,0.00011467048,7.223835e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055025546,0.00019217501,0.020722024,0.000028478331,0.00013778076,0.000070582166,0.07331734,0.006908798,0.0030643437,0.45984787,0.0055974876,0.4300581],"study_design_scores_gemma":[0.002996967,0.000056139572,0.0150223235,0.00031792469,0.000054413576,0.0000020775544,0.011878494,0.008171415,0.0033357372,0.05407112,0.90256816,0.001525245],"about_ca_topic_score_codex":0.99968535,"about_ca_topic_score_gemma":0.99996465,"teacher_disagreement_score":0.8969706,"about_ca_system_score_codex":0.00063169014,"about_ca_system_score_gemma":0.0021091255,"threshold_uncertainty_score":0.6947169},"labels":[],"label_agreement":null},{"id":"W2087603572","doi":"10.1016/s0301-4215(99)00087-7","title":"A perspective on the restructuring of the Finnish electricity market","year":2000,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Restructuring; Deregulation; Electricity market; Electricity; Market economy; Perspective (graphical); Dimension (graph theory); Originality; Electricity retailing; Electric power industry; Business; Economics; Industrial organization; Economic system; Economy; Political science; Engineering; Finance","score_opus":0.003172314034370209,"score_gpt":0.1863178166390369,"score_spread":0.1831455026046667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087603572","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27259627,0.00029786592,0.0005082342,0.001492718,0.00015559894,0.000150432,0.0000072409166,0.00019101432,0.7246006],"genre_scores_gemma":[0.99523836,0.000085885724,0.000028714001,0.00020148038,0.00017454401,0.000012805321,3.7522358e-7,0.000022466156,0.0042353794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993274,0.000084751,0.00013433435,0.00010169429,0.00015042012,0.00020137781],"domain_scores_gemma":[0.99950266,0.000089422145,0.00003074247,0.00032882273,0.000025847628,0.000022498505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000810919,0.00010471863,0.00009630343,0.00007856879,0.00007704144,0.000014748489,0.0002535526,0.000050842507,0.00019386304],"category_scores_gemma":[0.00008864037,0.00006549675,0.00005768326,0.0007149407,0.00002584039,0.000035723104,0.000012355536,0.00011967799,0.0000042681672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060701615,0.00004553609,0.00015106979,0.000027541555,0.00021465286,0.0000030015497,0.0023901495,0.5653014,0.0023328862,0.36539128,0.04412949,0.019952238],"study_design_scores_gemma":[0.0017708036,0.00034435323,0.079092465,0.0003380595,0.00010123526,0.00012953831,0.00030541103,0.47517177,0.29467148,0.034842394,0.11170157,0.0015309297],"about_ca_topic_score_codex":0.0013438746,"about_ca_topic_score_gemma":0.000050013005,"teacher_disagreement_score":0.72264206,"about_ca_system_score_codex":0.00026940973,"about_ca_system_score_gemma":0.000044296707,"threshold_uncertainty_score":0.267088},"labels":[],"label_agreement":null},{"id":"W2088970475","doi":"10.1016/j.enpol.2014.06.028","title":"An economic evaluation of Peru׳s liquefied natural gas export policy","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Liquefied natural gas; Warrant; Natural gas; Finance; Government (linguistics); Investment (military); Business; Economics; Yield (engineering); Economic policy; International trade; Natural resource economics; Economy; Engineering; Political science; Politics","score_opus":0.017319020065786683,"score_gpt":0.33744619689764893,"score_spread":0.32012717683186226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088970475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85008067,0.000081109516,0.00005158328,0.0018384194,0.00014966675,0.00008449401,0.0000059818917,0.000095853735,0.1476122],"genre_scores_gemma":[0.9955548,0.000033767417,0.00008538351,0.00050859834,0.0015418218,0.000058763697,0.000089967114,0.000038188624,0.0020887107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99712425,0.0007873192,0.0004486175,0.00044141582,0.00055961864,0.00063876517],"domain_scores_gemma":[0.9982071,0.000093549665,0.00013473176,0.0008997807,0.00039956786,0.00026528235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133476,0.0002433072,0.00033783723,0.00052477175,0.00013594353,0.00004499291,0.00049668,0.00020292989,0.00034619248],"category_scores_gemma":[0.0009546408,0.00023516013,0.00016293798,0.0003992117,0.00019350016,0.00029187926,0.000105377854,0.00016333417,0.000037096328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000692707,0.00008068633,0.00020987711,0.000012191705,0.00003388613,7.753092e-7,0.00023183059,0.05687774,0.0010979042,0.81372553,0.0001395907,0.12752073],"study_design_scores_gemma":[0.0032112792,0.00073477864,0.017074948,0.000027165437,0.00007127168,0.000027533777,0.00055816263,0.26164314,0.030901752,0.54025626,0.14455992,0.00093376834],"about_ca_topic_score_codex":0.11917331,"about_ca_topic_score_gemma":0.0047350847,"teacher_disagreement_score":0.27346927,"about_ca_system_score_codex":0.00090977806,"about_ca_system_score_gemma":0.0016503645,"threshold_uncertainty_score":0.95895517},"labels":[],"label_agreement":null},{"id":"W2089254196","doi":"10.1016/j.enpol.2004.12.019","title":"Electricity markets volatility: estimates, regularities and risk management applications","year":2005,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electricity; Volatility (finance); Futures contract; Electricity market; Deregulation; Electric power; Electric power industry; Economics; Business; Industrial organization; Risk management; Financial economics; Finance; Power (physics); Market economy; Engineering","score_opus":0.0026598840609641755,"score_gpt":0.1905034763286211,"score_spread":0.18784359226765693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089254196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007345983,0.006477533,0.83017224,0.00029095815,0.00005829165,0.00033183,0.000021144831,0.0011073803,0.15419465],"genre_scores_gemma":[0.9750413,0.0034186353,0.01743906,0.00008646432,0.00032204358,0.0002195281,0.000025457133,0.000046686837,0.0034008387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999275,0.000026162334,0.00018119498,0.00016359017,0.00010459017,0.00024945708],"domain_scores_gemma":[0.99959224,0.00003657525,0.000032974458,0.0002486189,0.000019656116,0.00006995769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099540375,0.00013435341,0.000119984,0.00023133401,0.00009239946,0.00003789963,0.00009721201,0.00006195306,0.000012625452],"category_scores_gemma":[0.000011727993,0.00015038914,0.00002265532,0.0004382239,0.000019433324,0.00011865603,0.000027994885,0.00006953322,0.0000066759303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011259715,0.000061502826,0.0016876974,0.00019358983,0.00030829958,0.000002361114,0.00023535994,0.05346515,0.00010662614,0.19041698,0.005681417,0.7478298],"study_design_scores_gemma":[0.00026439718,0.000010836178,0.0035818499,0.000012756209,0.00004744822,0.000014095899,0.000005815736,0.74055177,0.0012541687,0.0034148796,0.25059146,0.00025051084],"about_ca_topic_score_codex":0.0004418816,"about_ca_topic_score_gemma":0.00009018351,"teacher_disagreement_score":0.9676953,"about_ca_system_score_codex":0.00016623396,"about_ca_system_score_gemma":0.000012341868,"threshold_uncertainty_score":0.6132691},"labels":[],"label_agreement":null},{"id":"W2091667015","doi":"10.1016/j.enpol.2009.05.050","title":"Development of an inexact optimization model for coupled coal and power management in North China","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Major State Basic Research Development Program of China; Ministry of Science and Technology","keywords":"Coal; Constraint (computer-aided design); Context (archaeology); Mathematical optimization; Linear programming; Integer programming; Interval (graph theory); Reliability (semiconductor); Operations research; Computer science; Electric power system; Goal programming; Programming paradigm; Reliability engineering; Power (physics); Engineering; Mathematics; Waste management","score_opus":0.007534514572370539,"score_gpt":0.20866504853968842,"score_spread":0.2011305339673179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091667015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25662526,0.00001741169,0.74052966,0.000031534422,0.000013113736,0.00012292633,0.0000016259952,0.00005714379,0.0026013225],"genre_scores_gemma":[0.91967154,0.000040222094,0.07986245,0.000046137182,0.000018075767,0.000015881684,0.00008868195,0.00001392573,0.00024309637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995248,0.000003885483,0.00017256851,0.00009790539,0.000066172826,0.00013467474],"domain_scores_gemma":[0.99985045,0.0000017506909,0.000024548262,0.00008311735,0.00000787385,0.000032268814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004108119,0.00009275998,0.00009363349,0.00031034867,0.000023937007,0.000016469194,0.00006385073,0.0000261336,0.0000025514535],"category_scores_gemma":[0.0000015409863,0.00009548864,0.000011628871,0.00018207903,0.00000554541,0.00011774798,0.000016147422,0.000017774626,1.1884557e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014382912,0.00002755686,0.000032457625,0.000017909548,0.000013450484,4.0198543e-7,0.00087346695,0.991681,0.000012044695,0.0030462,0.000013864423,0.004267272],"study_design_scores_gemma":[0.00051050365,0.000020750322,0.0035029494,0.000006393926,0.0000050905687,1.2400726e-7,0.000015086721,0.99520844,0.000070717884,0.000101800346,0.00045637754,0.0001017775],"about_ca_topic_score_codex":0.000015015956,"about_ca_topic_score_gemma":0.00009008189,"teacher_disagreement_score":0.66304624,"about_ca_system_score_codex":0.00003867716,"about_ca_system_score_gemma":0.0000055720343,"threshold_uncertainty_score":0.38939136},"labels":[],"label_agreement":null},{"id":"W2092668660","doi":"10.1016/j.enpol.2015.02.008","title":"Place-making and trust-building: The influence of policy on host community responses to wind farms","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Host (biology); Business; Architectural engineering; Environmental planning; Economy; Engineering; Economics; Geography; Ecology; Biology","score_opus":0.041270433910902786,"score_gpt":0.36525474990660517,"score_spread":0.3239843159957024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092668660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527982,0.00009123107,0.000014429666,0.008850285,0.00009151792,0.000091221795,0.000010124557,0.0000656639,0.037987333],"genre_scores_gemma":[0.99257576,0.00008080845,0.00020655547,0.0035722232,0.0010038898,0.000015282143,6.9705106e-7,0.000022791628,0.0025219715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974647,0.0010690563,0.00023980529,0.00019167246,0.0005397766,0.00049495464],"domain_scores_gemma":[0.99794436,0.0009823069,0.00017078679,0.00044294604,0.00016886863,0.00029074223],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012126225,0.00017935525,0.0002485992,0.00034575682,0.0009330477,0.0001073095,0.00080825615,0.00014156412,0.000007789408],"category_scores_gemma":[0.008465568,0.00014770094,0.00005718205,0.0013821634,0.00072145934,0.00020748805,0.00027229305,0.00020871055,0.0000040241252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000290871,0.000089934394,0.006121756,0.0000061232777,0.000039439128,0.000003044604,0.06461417,0.020551346,0.0011766503,0.88162637,0.0013241902,0.024156129],"study_design_scores_gemma":[0.0014193014,0.00080205145,0.15037638,0.00025666645,0.000030451356,0.0000073480405,0.14439291,0.0000375989,0.0055190446,0.053672124,0.64250726,0.0009788453],"about_ca_topic_score_codex":0.31779101,"about_ca_topic_score_gemma":0.032428034,"teacher_disagreement_score":0.82795423,"about_ca_system_score_codex":0.00041502502,"about_ca_system_score_gemma":0.0014793203,"threshold_uncertainty_score":0.9998866},"labels":[],"label_agreement":null},{"id":"W2092834301","doi":"10.1016/j.enpol.2009.05.066","title":"Planning of energy system management and GHG-emission control in the Municipality of Beijing—An inexact-dynamic stochastic programming model","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Greenhouse gas; Stochastic programming; Beijing; Probabilistic logic; Robustness (evolution); Energy management; Mathematical optimization; Operations research; Computer science; Environmental economics; Economics; Energy (signal processing); Engineering; Mathematics; China; Statistics","score_opus":0.008142346407272027,"score_gpt":0.22864766852541568,"score_spread":0.22050532211814367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092834301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30900037,0.00045322697,0.68351805,0.000061747494,0.000026653655,0.00020551158,0.0000040648365,0.0001301539,0.0066002114],"genre_scores_gemma":[0.99917525,0.000017887105,0.00060199783,0.000042676234,0.000025392945,0.000016650547,0.000017467926,0.000013517583,0.00008914512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992292,0.00004683034,0.00027047144,0.000117702635,0.00014360198,0.00019219429],"domain_scores_gemma":[0.9996577,0.000015814012,0.000068318,0.00021137072,0.000011607821,0.000035203637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001575617,0.00012453161,0.00017898325,0.00026145385,0.00003257138,0.00002069623,0.00017666066,0.000045130513,3.5028734e-7],"category_scores_gemma":[0.000003936616,0.00010040898,0.000026855067,0.0002235779,0.00001992878,0.000090271315,0.000027224663,0.000047864152,4.2061497e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000178903,0.000027459793,0.00004186588,0.00010009315,0.000021809077,0.0000020756518,0.00088292063,0.96592647,0.00014224612,0.02584531,0.0000065428203,0.0069853053],"study_design_scores_gemma":[0.0004943289,0.00004570244,0.00043799827,0.00013499243,0.000026282623,9.978465e-7,0.00033593635,0.998023,0.0000421631,0.0002189095,0.00014828924,0.00009145082],"about_ca_topic_score_codex":0.0003140478,"about_ca_topic_score_gemma":0.00001967189,"teacher_disagreement_score":0.6901749,"about_ca_system_score_codex":0.00004917649,"about_ca_system_score_gemma":0.000004017904,"threshold_uncertainty_score":0.40945593},"labels":[],"label_agreement":null},{"id":"W2093112490","doi":"10.1016/j.enpol.2011.04.033","title":"GHG emissions from hydroelectric reservoirs in tropical and equatorial regions: Review of 20 years of CH4 emission measurements","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Greenhouse gas; Hydroelectricity; Environmental science; Climate change; Global warming; Tropics; Greenhouse effect; Ecology; Oceanography; Geology","score_opus":0.02598175366043575,"score_gpt":0.23833153638681429,"score_spread":0.21234978272637853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093112490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98851275,0.0029053513,0.00061699864,0.00021854477,0.00007538476,0.00012983808,0.0000063763327,0.000013796378,0.007520976],"genre_scores_gemma":[0.9858463,0.010099288,0.0033322468,0.00021516166,0.000060823215,0.000009867507,0.000009679521,0.000015911142,0.00041075758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888265,0.0000850602,0.0003260574,0.00021595752,0.00030092656,0.00018934929],"domain_scores_gemma":[0.99946254,0.000026830772,0.00013256079,0.00024839977,0.0000025903325,0.00012707901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098967095,0.00010769018,0.00022629567,0.00001783941,0.000024678835,0.0000014373308,0.00019203406,0.000082831575,0.00030003884],"category_scores_gemma":[0.00012580908,0.00009988144,0.0000496274,0.00033014492,0.000161601,0.00007504856,0.00017579115,0.00008065323,0.0000027569367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047409913,0.0016870891,0.7928577,0.00037800745,0.00014225394,0.000035758676,0.0030441796,0.0016838739,0.06006468,0.0039843745,0.007397976,0.12825],"study_design_scores_gemma":[0.0030720942,0.0006984637,0.90980554,0.003203267,0.00014407451,0.000011082648,0.00016533071,0.003390517,0.013207272,0.01678548,0.048595347,0.00092154794],"about_ca_topic_score_codex":0.0074589513,"about_ca_topic_score_gemma":0.000108813205,"teacher_disagreement_score":0.12732846,"about_ca_system_score_codex":0.0001431422,"about_ca_system_score_gemma":0.000022204344,"threshold_uncertainty_score":0.99915045},"labels":[],"label_agreement":null},{"id":"W2094427365","doi":"10.1016/j.enpol.2013.10.060","title":"Sustainable power and scenic beauty: The Niagara River Water Diversion Treaty and its relevance today","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Carleton University","funders":"","keywords":"Beauty; Treaty; Hydroelectricity; Recreation; Natural resource economics; Business; Environmental planning; Environmental science; Economics; Engineering; Political science; Law","score_opus":0.004792446600101681,"score_gpt":0.18877197866366577,"score_spread":0.1839795320635641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094427365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241655,0.00075343467,0.0000111995505,0.008858459,0.000058609116,0.00012978075,0.0000054046,0.00005255357,0.06596507],"genre_scores_gemma":[0.930718,0.00016949099,0.000028126393,0.0011069531,0.0000728028,0.00003100198,0.0000021263675,0.000017359833,0.067854114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863476,0.0000673473,0.00012230808,0.00035239983,0.00019892807,0.0006242745],"domain_scores_gemma":[0.9995276,0.000047395515,0.000034783126,0.0002435581,0.0000150919395,0.00013157439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009223643,0.00020011645,0.00014971032,0.00004677156,0.00052255293,0.00004988946,0.00018585473,0.000066938264,0.00041481413],"category_scores_gemma":[0.00003362731,0.000111684196,0.00003383514,0.00012935956,0.00035494394,0.00044325832,0.00095202564,0.000069695474,0.00017306824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021846319,0.0005244151,0.016164908,0.00009435327,0.00043790106,0.00020635976,0.041383557,0.0010703218,0.09890933,0.5500476,0.2579519,0.032990955],"study_design_scores_gemma":[0.0018511831,0.00052435714,0.11960459,0.000036196554,0.000078762016,0.00006787831,0.0016651384,0.0005684575,0.10000702,0.18539524,0.5890298,0.0011713925],"about_ca_topic_score_codex":0.01718032,"about_ca_topic_score_gemma":0.0002274701,"teacher_disagreement_score":0.36465234,"about_ca_system_score_codex":0.00015513648,"about_ca_system_score_gemma":0.0000067740625,"threshold_uncertainty_score":0.9893644},"labels":[],"label_agreement":null},{"id":"W2098075624","doi":"10.1016/j.enpol.2013.11.063","title":"Establishing an agenda for social studies research in marine renewable energy","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Renewable energy; Environmental economics; Natural resource economics; Political science; Economics; Business; Environmental resource management; Regional science; Engineering; Sociology","score_opus":0.1666081349993057,"score_gpt":0.4478908648681886,"score_spread":0.28128272986888286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098075624","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37809774,0.0017014263,0.0005549969,0.034266666,0.0026406,0.0008644907,0.000028585133,0.00076836837,0.5810771],"genre_scores_gemma":[0.9274457,0.0011430182,0.0017396642,0.0013940912,0.010242732,0.0010615176,0.000040912193,0.00008418493,0.056848194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99565315,0.0009101686,0.00041643015,0.00059035374,0.0008384576,0.0015914423],"domain_scores_gemma":[0.9977144,0.00092808245,0.00013504685,0.0003081439,0.00065653067,0.00025781986],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0018307228,0.0002433432,0.00044249272,0.0007851881,0.0019054748,0.00045096446,0.00089046994,0.0003134519,0.00028639368],"category_scores_gemma":[0.0018461476,0.00026075076,0.0001274913,0.002371562,0.00073722925,0.0014857969,0.0003372912,0.00017644257,0.000008435772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029472476,0.00015283616,0.00047998916,0.000017144821,0.0000570055,0.0000069874704,0.014315222,0.0011780234,0.0005502952,0.5895729,0.08865391,0.30498618],"study_design_scores_gemma":[0.000682734,0.000101778714,0.00061390444,0.000026723552,0.0000069663565,4.814573e-7,0.07450355,0.00016329088,0.0011390608,0.3457994,0.57651836,0.00044376633],"about_ca_topic_score_codex":0.87319213,"about_ca_topic_score_gemma":0.7520016,"teacher_disagreement_score":0.54934794,"about_ca_system_score_codex":0.0011461568,"about_ca_system_score_gemma":0.0009991546,"threshold_uncertainty_score":0.99998444},"labels":[],"label_agreement":null},{"id":"W2105225820","doi":"10.1016/j.enpol.2009.07.064","title":"Complementarity of hydro and wind power: Improving the risk profile of energy inflows","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Bank of Canada; Bank of Canada; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Wind power; Renewable energy; Portfolio; Hydropower; Hydroelectricity; Environmental science; Diversification (marketing strategy); Inflow; Risk measure; Wind speed; Value at risk; Natural resource economics; Economics; Meteorology; Risk management; Business; Engineering; Geography; Financial economics; Finance","score_opus":0.0037814979305988,"score_gpt":0.19627018351151376,"score_spread":0.19248868558091498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105225820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.906735,0.0023778556,0.046744034,0.00029097704,0.00024385533,0.0002506862,0.000107390726,0.00024965822,0.043000553],"genre_scores_gemma":[0.99907696,0.00011284185,0.00056482304,0.00006578151,0.0000705337,0.000003707233,0.000010891905,0.00001478478,0.00007969758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992224,0.00005132771,0.00029818763,0.00010550247,0.00012964847,0.0001929381],"domain_scores_gemma":[0.99951446,0.00004766736,0.00012063266,0.00024409711,0.00003226065,0.000040883457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012636486,0.00011813709,0.00018307776,0.00013596695,0.000045528213,0.000010183024,0.00013489694,0.000053279615,0.00001730852],"category_scores_gemma":[0.000034037304,0.000097618,0.000037662638,0.0003116177,0.000029917888,0.000080476144,0.00002786157,0.000064643915,3.051814e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007390767,0.0002490396,0.008050114,0.0002237106,0.0005544756,0.000004651256,0.004121638,0.43400106,0.12007995,0.27594745,0.005618513,0.15107548],"study_design_scores_gemma":[0.0022586049,0.0008303012,0.0370621,0.00011516464,0.00013506191,0.000033736997,0.00014851772,0.5801871,0.35085616,0.0039334404,0.02357197,0.000867881],"about_ca_topic_score_codex":0.005053227,"about_ca_topic_score_gemma":0.00018881739,"teacher_disagreement_score":0.27201402,"about_ca_system_score_codex":0.00005129861,"about_ca_system_score_gemma":0.000035517525,"threshold_uncertainty_score":0.7639001},"labels":[],"label_agreement":null},{"id":"W2105519846","doi":"10.1016/j.enpol.2007.08.018","title":"Calculating economy-wide energy intensity decline rate: The role of sectoral output and energy shares","year":2007,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Winnipeg","funders":"","keywords":"Economics; Energy intensity; Energy sector; Sectoral analysis; Energy (signal processing); Economy; Efficient energy use; Econometrics; Macroeconomics; Economic system; Engineering; Mathematics","score_opus":0.011074566887167717,"score_gpt":0.23359245201566345,"score_spread":0.22251788512849574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105519846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8128669,0.003942012,0.009880392,0.0026981065,0.00037324327,0.00007103224,0.00008633892,0.0003258129,0.16975613],"genre_scores_gemma":[0.98880595,0.00042762578,0.00016266364,0.0056819306,0.00078611827,0.0000183203,0.00015281093,0.00007169675,0.0038928553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997817,0.00011313699,0.00074935,0.000445368,0.00022223624,0.0006529186],"domain_scores_gemma":[0.9984194,0.00036974135,0.00034715937,0.0005355374,0.00008251856,0.00024564075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034431164,0.00039117722,0.00046485043,0.00031432556,0.00025716473,0.000049568775,0.00033633466,0.00020717653,0.000111277775],"category_scores_gemma":[0.00010300593,0.0003206656,0.00018732851,0.00034355852,0.0003655894,0.0001991657,0.00014742567,0.00013206487,0.0000032480634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090307476,0.00007535968,0.00848232,0.000010467387,0.00015842906,0.000010772494,0.0005337294,0.014198429,0.0028975422,0.94258547,0.00027969293,0.030677503],"study_design_scores_gemma":[0.000755954,0.00009042905,0.056685112,0.000024727995,0.000062176296,0.000017214425,0.00044735393,0.0024341724,0.10053178,0.03852665,0.7999127,0.0005117387],"about_ca_topic_score_codex":0.16116478,"about_ca_topic_score_gemma":0.049232516,"teacher_disagreement_score":0.9040588,"about_ca_system_score_codex":0.00009339503,"about_ca_system_score_gemma":0.000083030696,"threshold_uncertainty_score":0.99992454},"labels":[],"label_agreement":null},{"id":"W2111073360","doi":"10.1016/j.enpol.2011.02.022","title":"A participatory approach to sustainable energy strategy development in a carbon-intensive jurisdiction: The case of Nova Scotia","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Renewable energy; Energy policy; Business; Stakeholder; Government (linguistics); Incentive; Jurisdiction; Environmental economics; Economics; Political science; Engineering","score_opus":0.05488748276789857,"score_gpt":0.30961960530170735,"score_spread":0.2547321225338088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111073360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69844115,0.00026232153,0.00043081772,0.0003708044,0.00020954279,0.00015518446,0.0000014607784,0.00006616762,0.30006257],"genre_scores_gemma":[0.9936262,0.000028514909,0.00035558234,0.00068143295,0.00049521256,0.000120753626,0.0000019363324,0.000028026036,0.0046623596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9977166,0.0003091685,0.0004276865,0.00035663857,0.0003067913,0.0008831298],"domain_scores_gemma":[0.9987225,0.000077862926,0.0001658093,0.00032411283,0.00045685022,0.0002528687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005967787,0.00021091216,0.0003109269,0.00036024183,0.00027985979,0.000038664082,0.00044426578,0.00016994517,0.0000758745],"category_scores_gemma":[0.00033816008,0.00018415203,0.00007836761,0.0017976961,0.0003981849,0.0001622604,0.00014833243,0.0001057587,0.0000028755244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004418617,0.00018622365,0.00068309513,0.000010594751,0.00005749617,0.0002387572,0.07199368,0.001490612,0.000038566955,0.90789557,0.0007160436,0.016645163],"study_design_scores_gemma":[0.0012615384,0.00024909386,0.004846917,0.000071619754,0.000063592044,0.00009218239,0.8495986,0.00036489146,0.016729042,0.024652952,0.10086009,0.0012095135],"about_ca_topic_score_codex":0.88099927,"about_ca_topic_score_gemma":0.5855816,"teacher_disagreement_score":0.8832426,"about_ca_system_score_codex":0.0005821968,"about_ca_system_score_gemma":0.0020356916,"threshold_uncertainty_score":0.75095016},"labels":[],"label_agreement":null},{"id":"W2111498185","doi":"10.1016/j.enpol.2009.11.078","title":"Towards real energy economics: Energy policy driven by life-cycle carbon emission","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Greenhouse gas; Climate change; Environmental economics; Fossil fuel; Climate change mitigation; Carbon fibers; Natural resource economics; Life-cycle assessment; Electricity; Software deployment; Environmental science; Global warming; Engineering; Economics; Waste management; Computer science; Production (economics)","score_opus":0.004029122384095638,"score_gpt":0.2264104430596551,"score_spread":0.22238132067555946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111498185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71257126,0.00011121881,0.00013528357,0.0055250786,0.00008119364,0.00005541981,0.000027702794,0.00013607749,0.28135675],"genre_scores_gemma":[0.9784096,0.0013634462,0.00010266791,0.005361639,0.0007341902,0.000019854733,0.00006970648,0.00004912622,0.013889799],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973971,0.00015173278,0.00046496541,0.0006960542,0.00030658726,0.0009835645],"domain_scores_gemma":[0.998171,0.00002834353,0.00016923624,0.0007428196,0.0000059752897,0.0008826624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013106695,0.0004510572,0.0003915111,0.00016149576,0.00022920393,0.00006640404,0.0005622874,0.00028331557,0.00054309476],"category_scores_gemma":[0.000084594394,0.0004396395,0.00018925112,0.00040971529,0.00030127526,0.0003421074,0.00035953728,0.00013320132,0.000016119246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037097416,0.0020972218,0.04409764,0.00001725643,0.00014127053,0.000055519347,0.0021170403,0.019347634,0.05897776,0.11216551,0.036859304,0.72375286],"study_design_scores_gemma":[0.0024117418,0.0011285668,0.10336196,0.000024334795,0.000054506676,0.000040404855,0.00041937237,0.024905177,0.06918246,0.08331286,0.71275353,0.0024050574],"about_ca_topic_score_codex":0.2116184,"about_ca_topic_score_gemma":0.0011735199,"teacher_disagreement_score":0.7213478,"about_ca_system_score_codex":0.0022111312,"about_ca_system_score_gemma":0.0001756957,"threshold_uncertainty_score":0.9998055},"labels":[],"label_agreement":null},{"id":"W2115027769","doi":"10.1016/j.enpol.2009.12.048","title":"The impact of financial development on energy consumption in emerging economies","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1487,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Capitalization; Stock market; Economics; Emerging markets; Market capitalization; Energy consumption; Stock (firearms); Financial market; Panel data; Inventory turnover; Monetary economics; Business; Finance; Stock exchange; Econometrics","score_opus":0.017788890849726017,"score_gpt":0.23636454973965104,"score_spread":0.21857565888992503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115027769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97095776,0.0002195591,0.00015800743,0.00030841332,0.00034542952,0.00003975957,0.000028799046,0.000017340226,0.027924953],"genre_scores_gemma":[0.99737364,0.0005781812,0.00018831456,0.00019319139,0.0002749223,0.000054206685,0.000015218045,0.00003283402,0.0012895031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982999,0.000020316947,0.00083065784,0.00037847704,0.000028769418,0.00044190572],"domain_scores_gemma":[0.9988408,0.00011138033,0.00049246673,0.00045773643,0.000006219813,0.00009139688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004083946,0.00022416216,0.000368599,0.00049382827,0.00014379385,0.000039321334,0.00034481936,0.00014843553,0.00027905992],"category_scores_gemma":[0.00014440104,0.00021543531,0.00015187655,0.00014885904,0.00014237275,0.00014447908,0.00009357984,0.00017109409,0.00011415539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026514195,0.000081035134,0.05702451,0.0000031087993,0.000036090976,8.995136e-7,0.0001717348,0.0053844727,0.00018415594,0.9260717,0.00036352815,0.01065226],"study_design_scores_gemma":[0.001022512,0.00009659572,0.7850335,0.000014501038,0.0000019173913,0.0000038474973,0.000014512129,0.0019699463,0.0058088587,0.045903627,0.15962827,0.0005018774],"about_ca_topic_score_codex":0.0063169263,"about_ca_topic_score_gemma":0.003250546,"teacher_disagreement_score":0.8801681,"about_ca_system_score_codex":0.00041879798,"about_ca_system_score_gemma":0.00011626714,"threshold_uncertainty_score":0.9549345},"labels":[],"label_agreement":null},{"id":"W2120152805","doi":"10.1016/j.enpol.2011.01.016","title":"Carbon capture and storage as a corporate technology strategy challenge","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbon capture and storage (timeline); Software deployment; Incentive; Business; Subsidy; Environmental economics; Corporate governance; Industrial organization; Risk analysis (engineering); Economics; Finance; Climate change; Engineering; Microeconomics; Market economy","score_opus":0.039245306791818424,"score_gpt":0.2797903858241546,"score_spread":0.24054507903233618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120152805","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4350748,0.0014882885,0.000017629767,0.0018595115,0.0002129645,0.00006150772,0.0000024994374,0.00028043034,0.5610024],"genre_scores_gemma":[0.9849972,0.0014325659,0.00013537848,0.0002852911,0.00077950535,0.000038238657,0.0000019645472,0.000029616062,0.012300242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858934,0.00012818142,0.00015970398,0.0003340181,0.0002389144,0.00054986513],"domain_scores_gemma":[0.99925953,0.000025533114,0.00018165547,0.00023446532,0.00008551814,0.00021328768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016341712,0.00018512925,0.00023330962,0.00031121937,0.00032097776,0.0000381497,0.00034250884,0.00041420484,0.00017076993],"category_scores_gemma":[0.000153049,0.00019179974,0.000043197106,0.0008174804,0.0006642977,0.00014893645,0.00008645295,0.00014596502,0.00000840721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000098956125,0.000038260892,0.00031620296,0.0000024322965,0.000022106475,0.000040703148,0.0060439426,0.000012587135,0.000117509364,0.9522522,0.00014332075,0.041000843],"study_design_scores_gemma":[0.00078808505,0.00032932762,0.0013817708,0.000032141856,0.000036172918,0.000015019088,0.06742465,0.00005246779,0.001893717,0.80743116,0.11972145,0.0008940357],"about_ca_topic_score_codex":0.32472983,"about_ca_topic_score_gemma":0.12682745,"teacher_disagreement_score":0.5499224,"about_ca_system_score_codex":0.00015124753,"about_ca_system_score_gemma":0.0005626747,"threshold_uncertainty_score":0.8891057},"labels":[],"label_agreement":null},{"id":"W2120344883","doi":"10.1016/s0301-4215(03)00220-9","title":"The measurement of the energy intensity of manufacturing industries: a principal components analysis","year":2003,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Quebec; Université Laval","funders":"","keywords":"Energy intensity; Principal component analysis; Production (economics); Energy (signal processing); Intensity (physics); Econometrics; Manufacturing; Value (mathematics); Identification (biology); Environmental science; Statistics; Operations management; Environmental economics; Engineering; Economics; Mathematics; Business; Microeconomics","score_opus":0.027193109608321255,"score_gpt":0.23070596501994345,"score_spread":0.2035128554116222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120344883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712189,0.00022045025,0.0005995963,0.00042789665,0.00020223216,0.0000514893,0.000020968675,0.000033337576,0.027225118],"genre_scores_gemma":[0.9978745,0.00023951296,0.000028327997,0.00030930806,0.00006780296,0.000018897988,0.000012064223,0.000022686529,0.0014268982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979321,0.00018382452,0.00059554813,0.00023380626,0.0006943352,0.00036041992],"domain_scores_gemma":[0.99856186,0.00007901115,0.00041790327,0.0007546692,0.00009238458,0.00009415278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073925,0.00022888165,0.0003727829,0.00022354483,0.00024913566,0.000015040192,0.0004175546,0.00011665273,0.00004731648],"category_scores_gemma":[0.00009387067,0.00014601157,0.00031727698,0.0006780993,0.00035173155,0.000055837412,0.0000574369,0.00011651092,0.0000010748374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059196136,0.00017223693,0.0054302937,0.000012258005,0.0017724212,0.0000013690776,0.0006548713,0.15179709,0.004801614,0.83307016,0.000114560295,0.0021139137],"study_design_scores_gemma":[0.0004235794,0.000026178257,0.11396343,0.000019542713,0.00030981208,0.0000014280416,0.00023883964,0.00012544765,0.6859448,0.002771125,0.1959888,0.00018702228],"about_ca_topic_score_codex":0.04477239,"about_ca_topic_score_gemma":0.012177511,"teacher_disagreement_score":0.8302991,"about_ca_system_score_codex":0.00013741327,"about_ca_system_score_gemma":0.00011084571,"threshold_uncertainty_score":0.96158856},"labels":[],"label_agreement":null},{"id":"W2125421005","doi":"10.1016/j.enpol.2011.11.079","title":"A generic framework for the description and analysis of energy security in an energy system","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy Security and Policy","field":"Energy","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy security; Energy (signal processing); Energy accounting; Process (computing); Computer science; Energy engineering; Energy flow; Energy policy; Environmental economics; Risk analysis (engineering); Engineering; Business; Economics; Renewable energy","score_opus":0.03457542314355111,"score_gpt":0.2648172947292806,"score_spread":0.2302418715857295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125421005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7017791,0.012040562,0.13784786,0.0013215651,0.0019074633,0.0004477986,0.00078277354,0.0009548444,0.142918],"genre_scores_gemma":[0.9958839,0.00060499366,0.0012194095,0.0011020214,0.00060387445,0.00018713935,0.000120015124,0.00005363859,0.00022500311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974079,0.00035143437,0.00070266885,0.0005667648,0.0002763448,0.00069488067],"domain_scores_gemma":[0.9981131,0.00026523095,0.00032785034,0.00089390465,0.00014016953,0.00025977477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029071554,0.00040366128,0.0007237222,0.0011106333,0.00019850396,0.000057020243,0.0005766281,0.00044516867,0.000052497377],"category_scores_gemma":[0.000109622684,0.00033427714,0.00033815944,0.002721685,0.00023054665,0.00028744186,0.00014236278,0.00013622075,8.5425455e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014728565,0.00018428765,0.00030830808,0.000027343847,0.00056999037,0.0000051645643,0.001942225,0.005070197,0.00015290495,0.98281443,0.000066057015,0.008711787],"study_design_scores_gemma":[0.0022419428,0.00096380507,0.01861689,0.00018230877,0.0024871377,0.000048623304,0.002313976,0.16182508,0.009820293,0.42657056,0.37309194,0.0018374462],"about_ca_topic_score_codex":0.37668073,"about_ca_topic_score_gemma":0.12974545,"teacher_disagreement_score":0.5562439,"about_ca_system_score_codex":0.00018534604,"about_ca_system_score_gemma":0.00012718052,"threshold_uncertainty_score":0.99991095},"labels":[],"label_agreement":null},{"id":"W2125721256","doi":"10.1016/j.enpol.2005.09.015","title":"Combined heat and power in the Swedish district heating sector—impact of green certificates and CO2 trading on new investments","year":2005,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Energimyndigheten; Naturvårdsverket; Centre for Transportation Engineering and Planning","keywords":"Profitability index; Cogeneration; Emissions trading; Business; Natural resource economics; Electricity generation; Environmental economics; Coal; Investment (military); Economics; Agricultural economics; Economy; Power (physics); Waste management; Greenhouse gas; Engineering; Finance","score_opus":0.014427690150854837,"score_gpt":0.23560665571787223,"score_spread":0.22117896556701738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125721256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931407,0.00022825944,0.00014589443,0.0003122941,0.00004036865,0.00006485495,0.000008754949,0.000057640056,0.0060012173],"genre_scores_gemma":[0.99940306,0.00004543946,0.000107777814,0.00011630036,0.00012779262,0.000007861993,0.000020431711,0.000027587994,0.00014376802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992834,0.00005223982,0.00023702873,0.00012515546,0.00010267291,0.00019952892],"domain_scores_gemma":[0.9996689,0.0000723354,0.000029606941,0.0001444803,0.000011525358,0.000073170784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079590776,0.00016187751,0.00017566633,0.00020554222,0.000037716723,0.000035373636,0.0000860756,0.000064775784,0.000010241537],"category_scores_gemma":[0.000033347274,0.00011914389,0.000031225332,0.00034509986,0.000027566804,0.00011780729,0.0000100359475,0.000091320806,5.598714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004433227,0.00007780976,0.0084755905,0.00004084061,0.00014166904,0.0000046178925,0.0060027665,0.9470776,0.0087634185,0.020691624,0.0030432553,0.005636533],"study_design_scores_gemma":[0.0021087201,0.00049943285,0.100045264,0.00031992764,0.000030099478,0.000043029002,0.00040086845,0.87343556,0.020274673,0.00096558215,0.0012364605,0.0006403902],"about_ca_topic_score_codex":0.022946863,"about_ca_topic_score_gemma":0.00041101332,"teacher_disagreement_score":0.09156968,"about_ca_system_score_codex":0.00015238245,"about_ca_system_score_gemma":0.000026094114,"threshold_uncertainty_score":0.9835594},"labels":[],"label_agreement":null},{"id":"W2132813751","doi":"10.1016/j.enpol.2010.12.024","title":"Negotiated settlements with a cost of service backstop: The consequences for depreciation","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Negotiation; Economics; Service (business); Depreciation (economics); Human settlement; Econometric model; Marginal cost; Deregulation; Profit margin; Profit (economics); Business; Industrial organization; Economy; Public economics; Microeconomics; Finance; Engineering; Market economy; Econometrics","score_opus":0.06697881424024321,"score_gpt":0.2314457940361406,"score_spread":0.1644669797958974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132813751","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4154856,0.00048366227,0.011375192,0.015653731,0.0005186689,0.0009793534,0.0018199856,0.00009925973,0.5535846],"genre_scores_gemma":[0.995676,0.000014954093,0.00042384345,0.003189701,0.00016037926,0.00008950191,0.0000313807,0.000016857217,0.0003974126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917096,0.000012425856,0.00036691103,0.0001934611,0.000017442746,0.00023881994],"domain_scores_gemma":[0.99929166,0.00005444016,0.00034180385,0.00023111443,0.000032610442,0.000048399143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018338028,0.00010817701,0.00021261336,0.00013086523,0.00009176884,0.00001542566,0.00023727259,0.00005974153,0.00010201355],"category_scores_gemma":[0.0000511999,0.00008797266,0.00005372919,0.00023835465,0.00009924244,0.00013764626,0.000029203651,0.00004050276,0.000043357053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058020698,0.000041187413,0.010803504,0.000015991624,0.00008081096,1.6959393e-7,0.0010297539,0.000067665314,0.000017203522,0.9863358,0.0009552408,0.00059461046],"study_design_scores_gemma":[0.0023733927,0.0003261707,0.08142748,0.00003171158,0.000027542163,0.000008959148,0.00028833357,0.003351396,0.0075456733,0.8268955,0.077216946,0.0005069183],"about_ca_topic_score_codex":0.014255389,"about_ca_topic_score_gemma":0.0014414546,"teacher_disagreement_score":0.5801904,"about_ca_system_score_codex":0.00006153521,"about_ca_system_score_gemma":0.000052671094,"threshold_uncertainty_score":0.9923088},"labels":[],"label_agreement":null},{"id":"W2133102025","doi":"10.1016/j.enpol.2013.09.054","title":"Can we trust corporates GHG inventories? An investigation among Canada's large final emitters","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Credibility; Audit; Transparency (behavior); Business; Accounting; Climate change; Reliability (semiconductor); Independence (probability theory); Affect (linguistics); Political science","score_opus":0.05788970930177109,"score_gpt":0.21771323526740186,"score_spread":0.15982352596563076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133102025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793398,0.00017502377,0.00002070609,0.011271548,0.00043054088,0.00009483567,0.000613315,0.000049163053,0.008005097],"genre_scores_gemma":[0.98881155,0.00020015579,0.00006883885,0.0060092444,0.00095654774,0.000084572064,0.0003493541,0.000045182638,0.003474524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984111,0.000020477471,0.00055115594,0.0003941334,0.000036449383,0.00058664],"domain_scores_gemma":[0.9987596,0.00002729944,0.0004137651,0.0003842286,0.000030644103,0.00038445555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015284124,0.00023382978,0.0003424321,0.0002960003,0.00019755967,0.00015650578,0.00028276508,0.00013443394,0.00051449623],"category_scores_gemma":[0.000068852896,0.00029181514,0.0000634113,0.0003031725,0.000099633966,0.00046643164,0.00007603929,0.00012351548,0.00010147872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003698617,0.00003149112,0.29219347,0.000019217689,0.000040190847,0.0000025608156,0.0012041318,0.00013035622,0.000015175196,0.6920713,0.01394459,0.00034375573],"study_design_scores_gemma":[0.0016224029,0.0001449734,0.3000628,0.000044712473,0.000016042246,0.000012122804,0.0014778096,0.018903673,0.0010150479,0.49265078,0.18242645,0.0016231835],"about_ca_topic_score_codex":0.952174,"about_ca_topic_score_gemma":0.84430665,"teacher_disagreement_score":0.19942057,"about_ca_system_score_codex":0.0005785338,"about_ca_system_score_gemma":0.00023277511,"threshold_uncertainty_score":0.9999534},"labels":[],"label_agreement":null},{"id":"W2139381119","doi":"10.1016/j.enpol.2013.05.003","title":"Supplying synthetic crude oil from Canadian oil sands: A comparative study of the costs and CO2 emissions of mining and in-situ recovery","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Synthetic crude; Asphalt; Crude oil; Oil sands; Environmental science; Petroleum engineering; Enhanced oil recovery; Fossil fuel; Waste management; Production cost; Unconventional oil; Pulp and paper industry; Engineering; Materials science","score_opus":0.01782124364417733,"score_gpt":0.28161337490119775,"score_spread":0.26379213125702045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139381119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9607349,0.00026763533,3.044299e-7,0.00058574486,0.0000304234,0.000045486144,0.00001665293,0.000006693926,0.03831217],"genre_scores_gemma":[0.9981443,0.000081272265,0.000029968192,0.000099197496,0.00003348511,0.00005018106,0.00000516705,0.000011583674,0.0015447979],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99846864,0.00036700643,0.0003188891,0.0002666914,0.00019790896,0.00038084446],"domain_scores_gemma":[0.9987939,0.00041421247,0.00008183286,0.0003568945,0.00010619226,0.00024698654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001439987,0.00015698746,0.0003511342,0.00024896525,0.00015561405,0.000032638767,0.00022296689,0.00010257516,0.00006910803],"category_scores_gemma":[0.00039344074,0.0001204771,0.0000397377,0.0004309653,0.00022206642,0.00010432326,0.00017965783,0.00012225231,7.3601655e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007828301,0.0022140394,0.2139249,0.000341412,0.0010277904,0.0000859178,0.11918186,0.030057969,0.04033723,0.077607445,0.0016959726,0.51274264],"study_design_scores_gemma":[0.00932862,0.0011667337,0.6632663,0.0014022315,0.00016712392,0.000042654392,0.24828447,0.0049371766,0.031920843,0.01767523,0.020141836,0.0016667579],"about_ca_topic_score_codex":0.9382534,"about_ca_topic_score_gemma":0.87630975,"teacher_disagreement_score":0.5110759,"about_ca_system_score_codex":0.00023100457,"about_ca_system_score_gemma":0.0004608853,"threshold_uncertainty_score":0.49129137},"labels":[],"label_agreement":null},{"id":"W2156005506","doi":"10.1016/j.enpol.2010.10.002","title":"Energy policies avoiding a tipping point in the climate system","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Tipping point (physics); Climate change; Climate system; Energy (signal processing); Climate policy; Natural resource economics; Economics; Energy system; Environmental science; Environmental economics; Environmental resource management; Engineering; Physics; Geology","score_opus":0.012071383645507734,"score_gpt":0.28123370346124016,"score_spread":0.2691623198157324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156005506","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4884551,0.00019882216,0.00025467816,0.008317991,0.00048282114,0.00011224229,0.000013053863,0.00036681062,0.5017985],"genre_scores_gemma":[0.9951252,0.000066817236,0.000055143355,0.0019722015,0.0012697189,0.00013397771,0.000018759367,0.000045682344,0.0013125399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99635464,0.00077338994,0.00051158806,0.00045757854,0.0005187412,0.0013840899],"domain_scores_gemma":[0.998172,0.00044640465,0.00009950745,0.000959937,0.00012433302,0.00019786024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014225489,0.00032818964,0.00035450605,0.0005769993,0.00058247417,0.00020639946,0.0009554127,0.00030745342,0.000064321444],"category_scores_gemma":[0.0005970237,0.00024406615,0.00019217923,0.0013893433,0.00022875548,0.0002345635,0.00032476772,0.0007115587,0.00003344634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036052905,0.00006960407,0.00026093083,0.000045350083,0.000019660416,0.00006271788,0.0012643683,0.0024573358,0.0019321843,0.9835113,0.00020175114,0.01013874],"study_design_scores_gemma":[0.0016496442,0.00017837489,0.0035879412,0.00014452412,0.000026857242,0.0005042306,0.018730305,0.013340624,0.0071678725,0.0944327,0.85907954,0.0011574039],"about_ca_topic_score_codex":0.20031655,"about_ca_topic_score_gemma":0.038612872,"teacher_disagreement_score":0.8890786,"about_ca_system_score_codex":0.0003350444,"about_ca_system_score_gemma":0.00028354023,"threshold_uncertainty_score":0.9952728},"labels":[],"label_agreement":null},{"id":"W2175809435","doi":"10.1016/j.enpol.2015.11.015","title":"A life cycle perspective on land use and project economics of electricity from wind and anaerobic digestion","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Anaerobic digestion; Renewable energy; Natural resource economics; Environmental science; Life-cycle assessment; Renewable resource; Business; Agricultural economics; Environmental economics; Environmental engineering; Economics; Engineering; Production (economics); Ecology","score_opus":0.03065100970087752,"score_gpt":0.2988728455067057,"score_spread":0.26822183580582815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175809435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909257,0.00025460406,0.000014303298,0.0010273466,0.00006747874,0.00006337812,0.000015536527,0.000033018656,0.007598592],"genre_scores_gemma":[0.99762636,0.0008121212,0.00019056168,0.00032191194,0.0007100553,0.000005069382,0.0000045015136,0.000012413311,0.000316998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991611,0.00014863437,0.000119520075,0.00023324769,0.00012691406,0.00021058603],"domain_scores_gemma":[0.99930096,0.00017139206,0.00011170644,0.00010141206,0.00009490488,0.00021960372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012791154,0.00010553611,0.00019203499,0.0001499043,0.00015374644,0.000081738326,0.00009218844,0.0001164194,0.0000038715993],"category_scores_gemma":[0.0014391423,0.0001073714,0.000027236847,0.0002929589,0.00022472745,0.00030927907,0.000036113852,0.000056540972,6.0079316e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021009838,0.00013121538,0.027459187,0.0000027026426,0.000105631945,0.0000023636242,0.022569763,0.002903362,0.00015664195,0.9262679,0.00090370607,0.019287383],"study_design_scores_gemma":[0.008306393,0.0017889148,0.36099276,0.00013486376,0.00019622571,0.0000042727943,0.10648894,0.002802485,0.005575826,0.44185743,0.06962463,0.0022272356],"about_ca_topic_score_codex":0.67147845,"about_ca_topic_score_gemma":0.09727071,"teacher_disagreement_score":0.5742077,"about_ca_system_score_codex":0.00033386052,"about_ca_system_score_gemma":0.00079546944,"threshold_uncertainty_score":0.91920173},"labels":[],"label_agreement":null},{"id":"W2195636698","doi":"10.1016/j.enpol.2015.08.011","title":"British Columbia’s revenue-neutral carbon tax: A review of the latest “grand experiment” in environmental policy","year":2015,"lang":"en","type":"review","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":381,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Carbon tax; Economics; Greenhouse gas; Tax reform; Public economics; Value-added tax; Tax revenue; Revenue; Distribution (mathematics); Natural resource economics; Economy; Finance","score_opus":0.07313067307663103,"score_gpt":0.2837040416197108,"score_spread":0.2105733685430798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2195636698","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041097906,0.974184,8.866207e-8,0.0003812556,0.00028219083,0.00045702257,0.003960651,0.0000116603005,0.020312151],"genre_scores_gemma":[0.00044430495,0.9884488,0.000008651795,0.00087030337,0.0010123462,0.00025797068,0.000228216,0.00010791139,0.0086215],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968601,0.000108326676,0.001735805,0.00060843024,0.00005689725,0.0006304385],"domain_scores_gemma":[0.99754494,0.000050305163,0.0013767545,0.00084714394,0.00000829623,0.00017256565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005530855,0.00038562482,0.002509363,0.000334575,0.000055408254,0.00009520073,0.0007469418,0.00037829514,0.0003101868],"category_scores_gemma":[0.00017765647,0.00051972625,0.00069167203,0.00065064465,0.00018297874,0.00009582068,0.0003588363,0.0003281945,0.000045824792],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019267893,0.001750303,0.002965357,0.12732705,0.0010881157,0.00008815573,0.0020545172,0.000030354444,0.0000013476883,0.05554406,0.1949692,0.61416227],"study_design_scores_gemma":[0.00033331476,0.00002710143,0.00006574718,0.014465442,0.000041565843,0.00006080575,0.000009573026,0.000003828177,6.4960943e-7,0.003076367,0.9814655,0.0004501076],"about_ca_topic_score_codex":0.31670645,"about_ca_topic_score_gemma":0.04575277,"teacher_disagreement_score":0.7864963,"about_ca_system_score_codex":0.0012249878,"about_ca_system_score_gemma":0.00033367105,"threshold_uncertainty_score":0.99972546},"labels":[],"label_agreement":null},{"id":"W2254579368","doi":"10.1016/j.enpol.2016.01.011","title":"Historical construction costs of global nuclear power reactors","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":314,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"International Atomic Energy Agency","keywords":"Nuclear power; Scope (computer science); Cost estimate; Economics; Business; Computer science; Nuclear physics","score_opus":0.0038295151411015605,"score_gpt":0.18037248995713198,"score_spread":0.17654297481603043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254579368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.774249,0.00018185364,0.0043221894,0.0003485885,0.0016978295,0.00003926723,0.00003282115,0.0007408366,0.21838757],"genre_scores_gemma":[0.9994433,0.00004976194,0.00018885716,0.000011429383,0.00021804111,8.922661e-7,4.9307926e-7,0.00003319838,0.000054040996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995128,0.0000049372115,0.00013436173,0.00008392623,0.00009246687,0.00017153544],"domain_scores_gemma":[0.9997097,0.000012223915,0.00002245923,0.00015595382,0.000017533786,0.00008211393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016015463,0.00010144694,0.00013064247,0.000045975376,0.00001266472,0.0000055522837,0.00008147463,0.00006059587,0.000035240682],"category_scores_gemma":[0.000015304979,0.00008263094,0.000054183325,0.00017877287,0.000023698087,0.00008598751,0.00001954881,0.000034220386,0.000014625269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044121116,0.000011854936,0.000262283,0.0000055965206,0.00003327622,0.0000015231691,0.000022102295,0.0001567109,0.05735605,0.9050886,0.0028531305,0.03420446],"study_design_scores_gemma":[0.00048770627,0.00006263623,0.0043137847,0.00007291127,0.00001183426,0.000025807076,0.000015091832,0.0003954425,0.0034327141,0.0029533438,0.9878423,0.0003863813],"about_ca_topic_score_codex":0.0005392162,"about_ca_topic_score_gemma":0.000004539544,"teacher_disagreement_score":0.9849892,"about_ca_system_score_codex":0.0009373817,"about_ca_system_score_gemma":0.00001388462,"threshold_uncertainty_score":0.3369592},"labels":[],"label_agreement":null},{"id":"W2510076597","doi":"10.1016/j.enpol.2016.10.035","title":"Global energy subsidies: An analytical taxonomy","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Subsidy; Externality; Economics; Energy subsidies; Yield (engineering); Natural resource economics; Public economics; Order (exchange); Energy policy; Microeconomics; Renewable energy; Ecology; Finance; Market economy","score_opus":0.022865775535088045,"score_gpt":0.2618116517692886,"score_spread":0.23894587623420058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510076597","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17488596,0.00058261567,0.048637643,0.007129976,0.000736688,0.000118510434,0.00034542428,0.0011743598,0.76638883],"genre_scores_gemma":[0.97762084,0.0005566828,0.00031028216,0.002896645,0.0013914148,0.000112327965,0.000082721,0.000058988913,0.016970113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976059,0.00012715043,0.0004949661,0.0005935699,0.0003676083,0.00081080524],"domain_scores_gemma":[0.9984377,0.000083218045,0.00013865896,0.00077817583,0.000040539602,0.00052172015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000073986106,0.000406918,0.00036603684,0.00023719702,0.00017230482,0.00004718677,0.0004394426,0.00022364157,0.0009365601],"category_scores_gemma":[0.00004619366,0.00030657134,0.00021153473,0.0004993828,0.000358074,0.00041181289,0.000050228995,0.000048599926,0.000105732666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033709737,0.00013184539,0.0023831676,0.0000028274846,0.000099736324,0.000017827491,0.00004924626,0.0019928054,0.00037110518,0.9586177,0.0015760805,0.03472397],"study_design_scores_gemma":[0.0009585541,0.00011610573,0.017959239,0.000016085001,0.00004298116,0.000014043023,0.00006226451,0.00018247608,0.0029111516,0.024126645,0.95309156,0.00051888975],"about_ca_topic_score_codex":0.046161074,"about_ca_topic_score_gemma":0.021635761,"teacher_disagreement_score":0.9515155,"about_ca_system_score_codex":0.00030611054,"about_ca_system_score_gemma":0.00014617875,"threshold_uncertainty_score":0.9999767},"labels":[],"label_agreement":null},{"id":"W2528942384","doi":"10.1016/j.enpol.2016.09.032","title":"Saving Alberta's resource revenues: Role of intergenerational and liquidity funds","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Market liquidity; Dividend; Economics; Revenue; Volatility (finance); Precautionary savings; Welfare; Monetary economics; Order (exchange); Government revenue; Financial economics; Finance; Market economy","score_opus":0.03233760803361112,"score_gpt":0.2231741587023852,"score_spread":0.19083655066877409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528942384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9385228,0.001341017,0.00028009896,0.005891593,0.00013261197,0.000035767403,0.0004168606,0.000017844406,0.053361382],"genre_scores_gemma":[0.9931873,0.0008341634,0.000101284466,0.00056875334,0.00074073224,0.000011460431,0.000014690992,0.000019733541,0.00452188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991328,0.000011896346,0.00038937153,0.00023265043,0.000015133497,0.00021813005],"domain_scores_gemma":[0.999367,0.0001017701,0.00021967517,0.00021892185,0.000010670165,0.000081984195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016649306,0.000106216525,0.00023746175,0.00021591234,0.000057907913,0.000018409162,0.00012229853,0.00008110637,0.00022576995],"category_scores_gemma":[0.00018683719,0.00010411796,0.00006524803,0.00008657555,0.000074664546,0.0001414816,0.00010446427,0.00003297923,0.000053592878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018827397,0.000029001612,0.009528453,0.000010832182,0.00003076349,2.1713875e-7,0.00071874843,0.000016790136,0.0014118287,0.98235023,0.0016297081,0.0042546173],"study_design_scores_gemma":[0.0005235041,0.00007620073,0.0059124194,0.000046481236,0.0000038828002,0.000008389194,0.00008390799,0.00041122094,0.004258298,0.13650021,0.85187733,0.00029816254],"about_ca_topic_score_codex":0.0054839477,"about_ca_topic_score_gemma":0.00096903916,"teacher_disagreement_score":0.8502476,"about_ca_system_score_codex":0.00008234587,"about_ca_system_score_gemma":0.000017073904,"threshold_uncertainty_score":0.82901245},"labels":[],"label_agreement":null},{"id":"W2538600675","doi":"10.1016/j.enpol.2016.10.001","title":"Do we have a car for you? Encouraging the uptake of electric vehicles at point of sale","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Unavailability; Point of sale; Business; Marketing; Work (physics); Certification; Intermediary; Government (linguistics); Test (biology); Point (geometry); Electric vehicle; Advertising; Transport engineering; Operations management; Engineering; Computer science; Economics; Management; World Wide Web","score_opus":0.00672135370597349,"score_gpt":0.21208682205989837,"score_spread":0.20536546835392488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538600675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986275,0.004799753,0.0036771959,0.0017205976,0.00010813489,0.00013513975,0.000051131596,0.00009449882,0.003138533],"genre_scores_gemma":[0.99774617,0.0009405963,0.00023792917,0.000054851072,0.0003044269,0.000018199868,0.000001360555,0.000035412486,0.00066103274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991607,0.000013648383,0.00027143993,0.000118583775,0.00012193297,0.00031371258],"domain_scores_gemma":[0.9994631,0.00010679265,0.00007532705,0.0002586892,0.00004858624,0.00004753076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009097102,0.00013570952,0.0001958898,0.00014506288,0.000047887774,0.0000062450035,0.00020311333,0.00007652693,0.000024736319],"category_scores_gemma":[0.000045644505,0.0000796046,0.000117245225,0.00025023211,0.000032833315,0.000054170578,0.000031811145,0.00005495613,0.000001217112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002360235,0.000010274775,0.00021619863,0.000055211367,0.000099519064,7.2886945e-7,0.0006024597,0.0027428407,0.68017435,0.031997178,0.0057339114,0.2783437],"study_design_scores_gemma":[0.00068832876,0.00012951015,0.001855789,0.000081801314,0.00003073839,0.000019153604,0.000068208676,0.0068348963,0.8808148,0.011442059,0.09782781,0.00020694335],"about_ca_topic_score_codex":0.00019336955,"about_ca_topic_score_gemma":0.000025293342,"teacher_disagreement_score":0.27813676,"about_ca_system_score_codex":0.00010969066,"about_ca_system_score_gemma":0.000048188922,"threshold_uncertainty_score":0.32461816},"labels":[],"label_agreement":null},{"id":"W2579113727","doi":"10.1016/j.enpol.2017.01.004","title":"A DEA analysis of electricity distribution in Spain: An industrial policy recommendation","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remuneration; Euros; Electricity; Electric power distribution; Sample (material); Distribution (mathematics); Quarter (Canadian coin); Mains electricity; Business; Economics; Operations management; Environmental economics; Finance; Voltage; Engineering; Mathematics; Electrical engineering","score_opus":0.1290285372080716,"score_gpt":0.4267000970585947,"score_spread":0.29767155985052307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579113727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662147,0.000011177433,0.020270364,0.008010287,0.000114759074,0.0000643194,0.00014442146,0.00002968944,0.005140286],"genre_scores_gemma":[0.9986565,0.000013953389,0.0000655351,0.00022066114,0.0004679385,0.0000057258653,0.00020245284,0.000007817896,0.00035940617],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99647015,0.0007069415,0.0009795327,0.00056970364,0.00086068804,0.00041295585],"domain_scores_gemma":[0.99650705,0.00049753377,0.0011125179,0.0014429404,0.00029180746,0.00014815564],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0038180659,0.00017279072,0.00060343125,0.0035614748,0.0003919864,0.00035488122,0.0013112688,0.00020271321,0.00012967756],"category_scores_gemma":[0.018105477,0.00015005001,0.00028887452,0.0068421457,0.00017785943,0.0006516102,0.0001793711,0.00017007634,0.000010413716],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014106758,0.0006669762,0.1847194,0.0000013569174,0.000369825,0.00000539161,0.00055498944,0.024524145,0.0011281915,0.16929999,0.0011503411,0.6174383],"study_design_scores_gemma":[0.0013011905,0.00022827084,0.6505892,0.000014497224,0.00039655517,0.0000021941416,0.00013030523,0.2883553,0.004238966,0.027171195,0.027050287,0.0005220091],"about_ca_topic_score_codex":0.08807052,"about_ca_topic_score_gemma":0.017382436,"teacher_disagreement_score":0.6169163,"about_ca_system_score_codex":0.00036950887,"about_ca_system_score_gemma":0.00054729107,"threshold_uncertainty_score":0.9901654},"labels":[],"label_agreement":null},{"id":"W2598951025","doi":"10.1016/j.enpol.2017.03.027","title":"Input-output and structural decomposition analysis of Singapore's carbon emissions","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":260,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Natural resource economics; Input–output model; Quarter (Canadian coin); Agricultural economics; Final demand; Economics; Disadvantaged; Energy demand; Environmental science; Environmental engineering; Economic growth; Geography; Production (economics)","score_opus":0.009660927864924842,"score_gpt":0.2925116576355687,"score_spread":0.28285072977064385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598951025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837913,0.000014794542,0.000038363578,0.0003966807,0.000018282299,0.000026594607,0.000007838682,0.00000872826,0.015697414],"genre_scores_gemma":[0.9989443,0.000015182523,0.00016093517,0.000089432244,0.00003056453,0.0000019740805,0.000010869996,0.000005740756,0.00074102904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999319,0.000034058594,0.00014098173,0.00018265734,0.00014398409,0.00017930122],"domain_scores_gemma":[0.99929976,0.000016482885,0.0001248189,0.00042310264,0.0000026519124,0.00013319308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000744261,0.00009884144,0.00016681712,0.000082975814,0.00026982164,0.000033570155,0.00016625416,0.00005366678,0.00016092948],"category_scores_gemma":[0.00006457828,0.00008476406,0.00006887309,0.00013527455,0.00039982004,0.00015895657,0.00027005744,0.00004523662,7.849025e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018571744,0.000043753236,0.9501109,0.000004853243,0.00011809504,0.0000041922044,0.0007236333,0.0029952275,0.019680416,0.0012311168,0.00004133149,0.025027908],"study_design_scores_gemma":[0.0001148208,0.00002869423,0.9859536,0.0000022154227,0.0000960249,0.0000016219356,0.000047079935,0.0074324203,0.0042713895,0.0016153513,0.00034256038,0.00009417362],"about_ca_topic_score_codex":0.026150731,"about_ca_topic_score_gemma":0.0006677127,"teacher_disagreement_score":0.035842746,"about_ca_system_score_codex":0.00017273045,"about_ca_system_score_gemma":0.000010327305,"threshold_uncertainty_score":0.9803342},"labels":[],"label_agreement":null},{"id":"W2604030907","doi":"10.1016/j.enpol.2017.02.053","title":"The merit order effect of Czech photovoltaic plants","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian National University; Grantová Agentura České Republiky; European Commission; McGill University","keywords":"Renewable energy; Photovoltaic system; Czech; Electricity; Electricity generation; Spot contract; Grid parity; Environmental economics; Economics; Feed-in tariff; Environmental science; Natural resource economics; Photovoltaics; Engineering; Power (physics); Energy policy; Electrical engineering; Physics; Financial economics","score_opus":0.0032341391160333028,"score_gpt":0.22227671609326116,"score_spread":0.21904257697722787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604030907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5526314,0.0044508018,0.029379096,0.00045548272,0.0035376006,0.00062306353,0.000042409116,0.0010079278,0.40787226],"genre_scores_gemma":[0.9983417,0.00027840643,0.000054313772,0.000011549379,0.00019472552,0.000025649502,0.000003407128,0.000027928221,0.0010623623],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941045,0.000035955225,0.00014218417,0.00007998532,0.00011400642,0.00021741484],"domain_scores_gemma":[0.99926615,0.00009606457,0.000068322835,0.00051013107,0.000021002403,0.000038352595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013695487,0.00010772047,0.0001439115,0.00006703629,0.00018615622,0.000048536956,0.0003268747,0.000060938975,0.000006768244],"category_scores_gemma":[0.00016743054,0.00007650757,0.00003416711,0.00009728375,0.000033704247,0.00007414983,0.000031108466,0.000054367607,0.000011386468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026720105,0.00007875773,0.007286313,0.0006235742,0.0014988078,0.00004601277,0.0012725506,0.24828614,0.3011562,0.05953801,0.06354309,0.31640336],"study_design_scores_gemma":[0.0012127453,0.00018541257,0.002517589,0.00009038275,0.000028694463,0.000029197574,0.000006294595,0.153342,0.7457395,0.00036057452,0.09608297,0.000404648],"about_ca_topic_score_codex":0.0013297122,"about_ca_topic_score_gemma":0.00013075034,"teacher_disagreement_score":0.4457103,"about_ca_system_score_codex":0.000044070766,"about_ca_system_score_gemma":0.00002512063,"threshold_uncertainty_score":0.3119888},"labels":[],"label_agreement":null},{"id":"W2607155441","doi":"10.1016/j.enpol.2017.04.013","title":"Sine Qua Nons of sustainable biofuels: Distilling implications of under-performance for national biofuel programs","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sine qua non; Sustainability; Economics; Biofuel; Context (archaeology); Environmental economics; Natural resource economics; Engineering; Political science; Ecology","score_opus":0.030995398777486943,"score_gpt":0.28899800033098255,"score_spread":0.25800260155349564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607155441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9430734,0.00003254065,0.004018535,0.001842351,0.00003763539,0.00016392475,0.000050819108,0.00002344324,0.050757352],"genre_scores_gemma":[0.99289304,0.00006038994,0.001468784,0.00011577093,0.00008328815,0.000064104715,0.00004188927,0.000013384149,0.0052593728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990473,0.000011474831,0.0002309073,0.00018707021,0.00019213179,0.00033115907],"domain_scores_gemma":[0.99916166,0.00004224394,0.0002753751,0.00040560088,0.000023118957,0.000092028655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001594285,0.000119147706,0.00014370916,0.000064217485,0.0003754914,0.00002307127,0.00038894615,0.00007092116,0.00010503118],"category_scores_gemma":[0.00011042346,0.00010931111,0.000069899696,0.0001358327,0.00044557988,0.00032104287,0.00016698107,0.00003732193,0.0000065373474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000695995,0.00081951835,0.07283871,0.00013981631,0.00007783694,5.9662113e-7,0.00028304147,0.055655386,0.02992044,0.80241334,0.000583095,0.037198633],"study_design_scores_gemma":[0.0010305742,0.0003869622,0.75178325,0.000045853118,0.000031524927,0.0000052804426,0.00013534747,0.0013261418,0.061730664,0.08992833,0.093164064,0.00043201481],"about_ca_topic_score_codex":0.0018608958,"about_ca_topic_score_gemma":0.0002758179,"teacher_disagreement_score":0.712485,"about_ca_system_score_codex":0.000155014,"about_ca_system_score_gemma":0.00005246614,"threshold_uncertainty_score":0.4457578},"labels":[],"label_agreement":null},{"id":"W2686808668","doi":"10.1016/j.enpol.2017.06.022","title":"“Wind energy is not an issue for government”: Barriers to wind energy development in Newfoundland and Labrador, Canada","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of Waterloo","funders":"SaskPower; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Wind power; Government (linguistics); Geography; Meteorology; Engineering; Environmental science","score_opus":0.013805506253581571,"score_gpt":0.2868479928391745,"score_spread":0.27304248658559294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2686808668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9082004,0.0003066957,0.0004027029,0.024472203,0.0017707625,0.00024678741,0.00015517292,0.000092088965,0.06435318],"genre_scores_gemma":[0.9458433,0.00022988817,0.0006951898,0.011363538,0.0023241243,0.00006995084,0.0000132609475,0.000058569458,0.03940217],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968542,0.00013184271,0.00038330458,0.00067705853,0.0009053827,0.0010481967],"domain_scores_gemma":[0.9978111,0.00013187013,0.00024574983,0.0005455119,0.00009483509,0.0011709282],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00033802824,0.00034909358,0.0004315933,0.00013879014,0.0021397863,0.000429373,0.0009706515,0.00024677033,0.00024592824],"category_scores_gemma":[0.00075375044,0.00038981973,0.000058815738,0.0002871988,0.0002579865,0.0005532164,0.00022709313,0.000073899944,0.0000011590322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001860376,0.00007820804,0.012053774,0.000013805176,0.00013030216,0.00003511114,0.01444932,0.00071201456,0.00049968733,0.36129135,0.027410077,0.5831403],"study_design_scores_gemma":[0.00076739676,0.000051724575,0.0077557927,0.000023216748,0.000008942561,8.044784e-7,0.0042224075,0.000051915693,0.0029669532,0.001432024,0.9821992,0.00051965547],"about_ca_topic_score_codex":0.9962183,"about_ca_topic_score_gemma":0.9992941,"teacher_disagreement_score":0.9547891,"about_ca_system_score_codex":0.0025761328,"about_ca_system_score_gemma":0.004502404,"threshold_uncertainty_score":0.9998554},"labels":[],"label_agreement":null},{"id":"W2735003951","doi":"10.1016/j.enpol.2017.07.019","title":"On the influence of jurisdiction on the profitability of residential photovoltaic-storage systems: A multi-national case study","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Profitability index; Photovoltaic system; Jurisdiction; Environmental economics; Subsidy; Electricity; Incentive; Business; Cost of electricity by source; Grid; Net metering; Feed-in tariff; Finance; Renewable energy; Energy policy; Economics; Distributed generation; Electricity generation; Microeconomics; Engineering; Power (physics); Electrical engineering; Market economy","score_opus":0.02565516114854798,"score_gpt":0.2765555524886427,"score_spread":0.25090039134009473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735003951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962931,0.000010373282,0.00020625727,0.00013278962,0.00027787383,0.0003120296,0.00001633038,0.000051968527,0.0026992601],"genre_scores_gemma":[0.99928564,0.0000043127807,0.000009880142,0.000040253602,0.00021951046,0.00020167934,0.0000011557116,0.000020867501,0.0002166738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99877834,0.00014584081,0.00031431124,0.00017021681,0.000433135,0.0001581651],"domain_scores_gemma":[0.9985456,0.00021959296,0.00017216205,0.000917653,0.000113942995,0.00003107973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006045331,0.00014840793,0.00015851436,0.00013462662,0.00025330525,0.00004538214,0.00039722206,0.000045552202,0.000009031408],"category_scores_gemma":[0.0005079124,0.00009619503,0.0000597967,0.0001269008,0.00011310457,0.00010514316,0.00010613361,0.00011375734,0.00000449015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001963752,0.00016287061,0.00082235894,0.00003256246,0.000116363626,0.000024133242,0.00060162845,0.94468415,0.0014448026,0.051284313,0.00077382394,0.00003335697],"study_design_scores_gemma":[0.0027127087,0.0007663841,0.53104854,0.00032923595,0.00014320835,0.0000748224,0.0030326617,0.42796186,0.028498258,0.0015643443,0.0031076553,0.00076031295],"about_ca_topic_score_codex":0.023811936,"about_ca_topic_score_gemma":0.001022545,"teacher_disagreement_score":0.5302262,"about_ca_system_score_codex":0.00017058614,"about_ca_system_score_gemma":0.000047632373,"threshold_uncertainty_score":0.9826886},"labels":[],"label_agreement":null},{"id":"W2746007313","doi":"10.1016/j.enpol.2005.09.016","title":"","year":2005,"lang":"en","type":"article","venue":"Energy Policy","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Political science","score_opus":0.009469678803822964,"score_gpt":0.27608461536068046,"score_spread":0.2666149365568575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746007313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93056685,0.00023897497,0.00038341773,0.023854367,0.000054494503,0.000051170242,0.000035339257,0.0014291202,0.043386243],"genre_scores_gemma":[0.97291476,0.000020189842,0.0020253155,0.01235625,0.007584873,0.00006825437,0.000023470036,0.00019257265,0.0048143123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714243,0.00017708779,0.0004258845,0.00050203956,0.000492608,0.0012599645],"domain_scores_gemma":[0.9982269,0.00007298868,0.00014522465,0.0009331501,0.00007900159,0.0005427793],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002440252,0.00035663543,0.0002909856,0.0008722601,0.00024458897,0.00008214453,0.00061006524,0.00012057498,0.000077374476],"category_scores_gemma":[0.00031103092,0.00035797028,0.00016907143,0.0016744549,0.000167959,0.00077707536,0.00019257118,0.00013647124,0.0017380659],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007236112,0.00024287471,0.0010301834,0.0000013738994,0.000051516614,0.000011779975,0.0009602404,0.023723964,0.06843108,0.83169883,0.0096315835,0.06414418],"study_design_scores_gemma":[0.0015854049,0.000060199858,0.015188738,0.0000070002907,0.000011823088,0.00008070369,0.000041281182,0.0018238878,0.115714125,0.00443487,0.8605546,0.000497368],"about_ca_topic_score_codex":0.02414155,"about_ca_topic_score_gemma":0.007351684,"teacher_disagreement_score":0.850923,"about_ca_system_score_codex":0.000691152,"about_ca_system_score_gemma":0.00027810113,"threshold_uncertainty_score":0.9998872},"labels":[],"label_agreement":null},{"id":"W2776508864","doi":"10.1016/j.enpol.2017.12.007","title":"Aviation CO2 emissions reductions from the use of alternative jet fuels","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":301,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Gastops (Canada)","funders":"Federal Aviation Administration","keywords":"Jet fuel; Aviation; Oil refinery; Aviation biofuel; Biofuel; Investment (military); Natural resource economics; Raw material; Production (economics); Greenhouse gas; Capital investment; Environmental science; Waste management; Engineering; Bioenergy; Business; Economics; Finance","score_opus":0.05172039148113045,"score_gpt":0.29188930362341975,"score_spread":0.2401689121422893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776508864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9147279,0.00006586851,0.041810025,0.021914026,0.00040788134,0.00017694927,0.00019842548,0.00020689795,0.020491987],"genre_scores_gemma":[0.9943934,0.00012936108,0.0026358427,0.00017938144,0.00011355972,0.000012215246,0.0000061961273,0.0000063865305,0.002523635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995111,0.00002419446,0.00009745602,0.00013889075,0.00011343332,0.00011491696],"domain_scores_gemma":[0.99917,0.000087272434,0.00014740207,0.0005589053,0.0000054419265,0.000031001102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026466061,0.00007105292,0.000071328795,0.000019652407,0.0003840278,0.00003065939,0.00038056652,0.000044187822,0.00018866213],"category_scores_gemma":[0.00043004192,0.000046794357,0.00003513106,0.00006906581,0.00040162657,0.0003044166,0.00021621436,0.000062735075,0.000023638902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004078269,0.0002680332,0.06500662,0.0000021320595,0.00012255266,0.000009634471,0.0020859912,0.015355536,0.23967758,0.31596124,0.055744424,0.30572549],"study_design_scores_gemma":[0.00033000333,0.000050966133,0.18936785,0.00002784051,0.000020603575,0.0000034726668,0.00017377781,0.0010219774,0.21363682,0.27297416,0.32214832,0.00024421778],"about_ca_topic_score_codex":0.021435572,"about_ca_topic_score_gemma":0.00041038173,"teacher_disagreement_score":0.30548126,"about_ca_system_score_codex":0.00005763092,"about_ca_system_score_gemma":0.0000104423725,"threshold_uncertainty_score":0.9850808},"labels":[],"label_agreement":null},{"id":"W2783493049","doi":"10.1016/j.enpol.2018.01.004","title":"Electrification of road freight transport: Policy implications in British Columbia","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Truck; Electrification; Greenhouse gas; Hydroelectricity; Renewable energy; Electricity; Market penetration; Electricity generation; Road transport; Environmental science; Natural resource economics; Transport engineering; Engineering; Business; Economics; Automotive engineering","score_opus":0.0037487304764000935,"score_gpt":0.20096952368854532,"score_spread":0.19722079321214522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783493049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748612,0.00028300003,0.0014355963,0.00034038172,0.00004640968,0.00007827019,0.000049457187,0.00014654899,0.022759115],"genre_scores_gemma":[0.99781245,0.00031716184,0.00020707936,0.0001597312,0.00068030274,0.0000231548,0.00003582588,0.000029490731,0.0007347752],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99919,0.000013099719,0.00028002128,0.00014293085,0.00007839761,0.00029559495],"domain_scores_gemma":[0.9995949,0.000008480923,0.00004051872,0.0002360078,0.000053777254,0.00006627333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003964739,0.000079311525,0.00015027024,0.00019018185,0.00005030878,0.000026006297,0.00017412977,0.000118543,0.00009091491],"category_scores_gemma":[0.000017220886,0.00013056329,0.000046331792,0.0012512273,0.000050907525,0.00009052625,0.000003962366,0.00009641776,0.0000038821904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061149526,0.00010590035,0.03422085,0.000056470068,0.00008169723,0.0000032800356,0.0005798445,0.0019120281,0.15058784,0.08795914,0.013666893,0.71081996],"study_design_scores_gemma":[0.00033540872,0.00006409029,0.9454209,0.000021765023,0.0000069663465,0.000024678053,0.000006475981,0.0018340953,0.014583325,0.011049176,0.02644061,0.00021249187],"about_ca_topic_score_codex":0.15727477,"about_ca_topic_score_gemma":0.10941008,"teacher_disagreement_score":0.91120005,"about_ca_system_score_codex":0.00012743352,"about_ca_system_score_gemma":0.00012962159,"threshold_uncertainty_score":0.90684086},"labels":[],"label_agreement":null},{"id":"W2790543745","doi":"10.1016/j.enpol.2018.02.012","title":"How do learning externalities influence the evaluation of Ontario's renewables support policies?","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Balsillie School of International Affairs; Wilfrid Laurier University; University of Ottawa","funders":"Carbon Management Canada","keywords":"Renewable energy; Damages; Externality; Computable general equilibrium; Procurement; Environmental economics; Economics; Electricity; Process (computing); Core (optical fiber); Learning-by-doing; Feed-in tariff; Microeconomics; Energy policy; Public economics; Computer science; Engineering; Production (economics)","score_opus":0.1078384246128195,"score_gpt":0.29098968681207865,"score_spread":0.18315126219925915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790543745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8967981,0.00032581453,0.000071153125,0.0024911633,0.00018744473,0.000063694155,0.00005803445,0.000021052943,0.09998357],"genre_scores_gemma":[0.98116636,0.00021961365,0.00004863678,0.000864343,0.0009251501,0.000033245862,0.00001610798,0.000022285476,0.01670426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988211,0.000038627382,0.0004418696,0.00025667445,0.00007285189,0.000368874],"domain_scores_gemma":[0.9988647,0.000056376197,0.00050185446,0.00040448655,0.00010780174,0.00006479681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009870083,0.00015507315,0.00028451317,0.00028953011,0.00020934481,0.0001671723,0.000329456,0.00009167438,0.00074834866],"category_scores_gemma":[0.0003672289,0.00014880605,0.000103329876,0.00021501577,0.0002504713,0.00032150646,0.000118720054,0.000084760104,0.00005183502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017127737,0.000030258641,0.045455825,0.00001423091,0.00007115217,2.7048335e-7,0.016178297,0.0020342644,0.000074786425,0.9324983,0.0010904268,0.00253507],"study_design_scores_gemma":[0.00063323294,0.00018713424,0.04745915,0.000028049282,0.000023499566,0.000012221748,0.0009788803,0.0017454557,0.0020479904,0.21379456,0.7327118,0.00037804726],"about_ca_topic_score_codex":0.348966,"about_ca_topic_score_gemma":0.094059855,"teacher_disagreement_score":0.7316213,"about_ca_system_score_codex":0.00053450104,"about_ca_system_score_gemma":0.00024449112,"threshold_uncertainty_score":0.92247117},"labels":[],"label_agreement":null},{"id":"W2796107338","doi":"10.1016/j.enpol.2018.03.032","title":"Tracking the transition to renewable electricity in remote indigenous communities in Canada","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Indigenous and Northern Affairs Canada; Natural Resources Canada; University of Waterloo","keywords":"Indigenous; Sustainability; Electricity; Renewable energy; Corporate governance; Business; Software deployment; Environmental resource management; Environmental economics; Environmental planning; Economics; Engineering; Geography","score_opus":0.01844071149510889,"score_gpt":0.2811795861654063,"score_spread":0.2627388746702974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796107338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952428,0.0001363529,0.00033914082,0.0046462836,0.00022834408,0.00012042766,0.0000038002918,0.000038004036,0.042059656],"genre_scores_gemma":[0.99381363,0.00023609189,0.00010540397,0.0039464566,0.0010576021,0.000015049331,0.000004159807,0.00001673403,0.00080487755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798656,0.00052292796,0.0002400877,0.0001509925,0.00037055957,0.0007288945],"domain_scores_gemma":[0.9993218,0.00019985547,0.00006225159,0.00023003978,0.00007743728,0.00010857097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005811623,0.00012403225,0.00018608654,0.0002691089,0.0006993718,0.0000663524,0.0005632105,0.00009007179,0.00006763753],"category_scores_gemma":[0.00019542416,0.00011829281,0.000032055927,0.0021611967,0.00016984883,0.00017053555,0.00003374462,0.00014063381,0.0000023323344],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007889001,0.000072975236,0.0034433643,0.0000062774448,0.00002232687,0.000025439842,0.32349116,0.03316264,0.00039524856,0.03229925,0.0026730606,0.60432935],"study_design_scores_gemma":[0.0014028193,0.00025379506,0.03385894,0.00023243343,0.000016966225,0.0000061273804,0.39470643,0.0019162274,0.012124089,0.0573652,0.4966917,0.0014252657],"about_ca_topic_score_codex":0.99996614,"about_ca_topic_score_gemma":0.99999416,"teacher_disagreement_score":0.6029041,"about_ca_system_score_codex":0.0027235725,"about_ca_system_score_gemma":0.0040131565,"threshold_uncertainty_score":0.71220475},"labels":[],"label_agreement":null},{"id":"W2796212038","doi":"10.1016/j.enpol.2018.03.046","title":"Reply to commentary on the special issue Scaling up biofuels? A critical look at expectations, performance and governance","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Corporate governance; Economics; Sustainability; Divestment; Argument (complex analysis); Public economics; Natural resource economics; Business; Management; Finance","score_opus":0.010030085892609423,"score_gpt":0.2489338170184275,"score_spread":0.2389037311258181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796212038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875798,0.00002369697,0.000033710778,0.06571491,0.00026909704,0.000055644185,0.0000096975555,0.000025559397,0.058069687],"genre_scores_gemma":[0.91482896,0.00009661611,0.00020706533,0.07357246,0.0036216017,0.000018208106,0.000003400174,0.000015987214,0.0076357247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888444,0.00005576677,0.00014811965,0.000293324,0.00026143328,0.0003569321],"domain_scores_gemma":[0.99932975,0.00011889976,0.000037182745,0.00032438556,0.0000027175713,0.00018708997],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000100776946,0.00015248275,0.000096219585,0.000025602709,0.0005173326,0.000034298802,0.00020071378,0.00004295848,0.0034284021],"category_scores_gemma":[0.00011603047,0.00011524715,0.0000270194,0.00017778313,0.0004831743,0.00017266141,0.0002993024,0.00007646763,0.0011184405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021617002,0.00014957237,0.0071345074,0.0000066224034,0.00002155969,0.000008495545,0.004432657,0.0021263473,0.0019163938,0.017763518,0.91225344,0.05397074],"study_design_scores_gemma":[0.00020870555,0.00023882289,0.05140952,0.000029264778,0.0000068396166,0.000011473175,0.00016024869,0.0003068233,0.020331828,0.0007012633,0.9263535,0.00024170987],"about_ca_topic_score_codex":0.0012152673,"about_ca_topic_score_gemma":0.00018016355,"teacher_disagreement_score":0.053729028,"about_ca_system_score_codex":0.0002887232,"about_ca_system_score_gemma":0.00000623623,"threshold_uncertainty_score":0.9996593},"labels":[],"label_agreement":null},{"id":"W2811031499","doi":"10.1016/j.enpol.2018.06.002","title":"From tip to toes: Mapping community energy models in Canada and New Zealand","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Marsden Fund; Royal Society","keywords":"Indigenous; Energy policy; Context (archaeology); Per capita; Renewable energy; Energy (signal processing); Greenhouse gas; Economic growth; Politics; Community organization; Community engagement; Public economics; Political science; Business; Environmental resource management; Economics; Geography; Sociology; Ecology","score_opus":0.03707842491459433,"score_gpt":0.28494709996125106,"score_spread":0.24786867504665672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811031499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470141,0.00014124058,0.0008284125,0.006303335,0.0004135592,0.00004280847,0.000017085616,0.00006284339,0.04517664],"genre_scores_gemma":[0.9797105,0.00017780166,0.00056273426,0.004342661,0.0033849876,0.000013231555,0.0000095919095,0.000022471659,0.011775984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998279,0.0003601088,0.00019940737,0.00024197814,0.00033518398,0.0005843539],"domain_scores_gemma":[0.9988878,0.00021976001,0.00007202413,0.00029010492,0.00006028096,0.00047006508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019785568,0.00016585246,0.00025631412,0.00017593635,0.0005103246,0.00008178328,0.0004905849,0.00011344289,0.000101127946],"category_scores_gemma":[0.00020438229,0.00018427843,0.000028678163,0.0008261657,0.00015960944,0.0002428229,0.00017984034,0.00011467964,0.0000023124364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004323233,0.00004837446,0.005485366,0.0000028189118,0.000060143353,0.000013046277,0.07440507,0.0032611936,0.00039412905,0.20757346,0.10227434,0.6064388],"study_design_scores_gemma":[0.00061891146,0.000048780796,0.008609009,0.00006958883,0.0000066995026,6.2360596e-7,0.045399982,0.0004876581,0.000765662,0.18357317,0.75984293,0.00057700183],"about_ca_topic_score_codex":0.9999859,"about_ca_topic_score_gemma":0.99997926,"teacher_disagreement_score":0.6575686,"about_ca_system_score_codex":0.0010638912,"about_ca_system_score_gemma":0.0035071068,"threshold_uncertainty_score":0.7514656},"labels":[],"label_agreement":null},{"id":"W2912880161","doi":"10.1016/j.enpol.2019.01.071","title":"Impact of land requirements on electricity system decarbonisation pathways","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Renewable energy; Electricity generation; Electricity; Fossil fuel; Wind power; Environmental science; Natural resource economics; Electricity retailing; Greenhouse gas; Energy development; Land use; Stand-alone power system; Distributed generation; Engineering; Electricity market; Economics; Power (physics); Waste management; Civil engineering; Ecology","score_opus":0.008933262298695191,"score_gpt":0.22694930951003334,"score_spread":0.21801604721133816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912880161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255754,0.000034090823,0.0030308927,0.0000030274664,0.00026352218,0.000069976646,0.000011990618,0.00026414887,0.07074699],"genre_scores_gemma":[0.9994286,0.000014389132,0.00006575553,0.0000098229175,0.0001603489,0.000012171329,0.000042023134,0.000042183718,0.0002247369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991628,0.000042855907,0.00025818023,0.0001295399,0.00017691222,0.00022970569],"domain_scores_gemma":[0.99951404,0.00002188277,0.000075859796,0.00026211183,0.00007548954,0.000050602262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000797846,0.00015822313,0.00020096012,0.00032110157,0.000019614654,0.000014940156,0.00010308303,0.00011713019,0.000014914151],"category_scores_gemma":[0.000016168606,0.00013748846,0.00008207316,0.00041457196,0.000006459807,0.00009202524,0.000008280065,0.00006296943,0.000030782227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001548004,0.000015599426,0.0026692308,0.000039462993,0.00008229541,7.912973e-7,0.000059299764,0.9412656,0.01630854,0.038835555,0.00011889017,0.00058927963],"study_design_scores_gemma":[0.000978987,0.00044706187,0.010509165,0.00023610408,0.000017871673,0.000010183999,0.000025058225,0.91067964,0.076185696,0.00011164028,0.00039932696,0.0003992942],"about_ca_topic_score_codex":0.00491108,"about_ca_topic_score_gemma":0.00003639479,"teacher_disagreement_score":0.07385321,"about_ca_system_score_codex":0.0007445553,"about_ca_system_score_gemma":0.00006879555,"threshold_uncertainty_score":0.7424117},"labels":[],"label_agreement":null},{"id":"W2947178411","doi":"10.1016/j.enpol.2019.111093","title":"How to slash greenhouse gas emissions in the freight sector: Policy insights from a technology-adoption model of Canada","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Truck; Mandate; Carbon tax; Carbon price; Business; Natural resource economics; Fuel tax; Slash (logging); Environmental economics; Economics; Engineering; Finance","score_opus":0.00798267788069581,"score_gpt":0.19175800083501535,"score_spread":0.18377532295431953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947178411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881974,0.00014493383,0.00047411694,0.0038873358,0.000065625085,0.000077369725,0.000046439272,0.000080526166,0.007026273],"genre_scores_gemma":[0.9976642,0.00010185438,0.0003858024,0.0004122395,0.00023883156,0.000022025695,0.000009178958,0.000028468132,0.001137366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917644,0.000016519587,0.00017381611,0.0001530923,0.0001837781,0.000296338],"domain_scores_gemma":[0.9993291,0.000031532352,0.000032247302,0.00047732162,0.000023046914,0.00010677515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029540102,0.0001560175,0.00017658387,0.00043478856,0.00005259192,0.000019049969,0.0003518935,0.00013774187,0.000015880953],"category_scores_gemma":[0.00003055025,0.00011541245,0.00003226479,0.00092996785,0.00001535633,0.00010503795,0.000056745776,0.0001870951,0.0000033975589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000162221,0.00005840139,0.0014649652,0.000046398418,0.000041677915,0.000006468732,0.0021223791,0.8004334,0.10627818,0.068920106,0.011723693,0.008888096],"study_design_scores_gemma":[0.00081942644,0.00008122548,0.0038244051,0.00023501815,0.0000109840485,0.000008439424,0.00046194624,0.78625923,0.05471073,0.010900127,0.14206241,0.00062604045],"about_ca_topic_score_codex":0.31529197,"about_ca_topic_score_gemma":0.29363155,"teacher_disagreement_score":0.13033871,"about_ca_system_score_codex":0.0002108371,"about_ca_system_score_gemma":0.0004104976,"threshold_uncertainty_score":0.71925783},"labels":[],"label_agreement":null},{"id":"W2955874576","doi":"10.1016/j.enpol.2019.05.041","title":"The profitability of onshore wind and solar PV power projects in China - A comparative study","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Aging; National Natural Science Foundation of China; National Key Research and Development Program of China; National Development and Reform Commission; Florida Institute of Technology; University of San Diego","keywords":"Renewable energy; Cost of electricity by source; Profitability index; Revenue; Wind power; Carbon price; Natural resource economics; Feed-in tariff; Business; Environmental economics; Economics; Electricity generation; Environmental science; Greenhouse gas; Finance; Energy policy; Power (physics); Engineering","score_opus":0.007529807654059703,"score_gpt":0.23836249990346092,"score_spread":0.23083269224940123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955874576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898882,0.00023269076,0.00013224255,0.000043100266,0.000068029614,0.00044764482,0.000002106423,0.00003791023,0.00914806],"genre_scores_gemma":[0.9996962,0.000010549768,0.00003712184,0.0000047515596,0.000019839705,0.000024612165,0.0000014854108,0.000012935053,0.00019252177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925375,0.000106984924,0.00021020051,0.00013343782,0.0001121232,0.00018353008],"domain_scores_gemma":[0.9996017,0.000063954314,0.00003933077,0.000242943,0.00002456953,0.00002745931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021135862,0.00010790163,0.00019164833,0.000116290365,0.000029429326,0.000016935848,0.00010082427,0.00004152386,0.00000331379],"category_scores_gemma":[0.00003577251,0.00008023762,0.00001677479,0.00042736877,0.000026113916,0.00008424784,0.000031148757,0.000089963396,0.0000019351853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018675115,0.0008640232,0.620605,0.00029635133,0.00043964395,0.000007102781,0.10623051,0.22968979,0.0024424964,0.036052767,0.0007580982,0.0024274692],"study_design_scores_gemma":[0.00217347,0.00081898406,0.8989311,0.000088282555,0.00001700854,0.000008861403,0.0036061415,0.08709361,0.005323701,0.00046635134,0.0010080548,0.00046444542],"about_ca_topic_score_codex":0.00067315664,"about_ca_topic_score_gemma":0.0002816942,"teacher_disagreement_score":0.2783261,"about_ca_system_score_codex":0.000081642196,"about_ca_system_score_gemma":0.000056190263,"threshold_uncertainty_score":0.32719952},"labels":[],"label_agreement":null},{"id":"W2956905953","doi":"10.1016/j.enpol.2019.06.046","title":"Potential benefits of optimal intra-day electricity hedging for the environment: The perspective of electricity retailers","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electricity; Electricity market; Volatility (finance); Business; Electricity retailing; Context (archaeology); Electricity generation; Efficient energy use; Environmental economics; Industrial organization; Natural resource economics; Economics; Finance; Power (physics); Engineering","score_opus":0.004252350394112601,"score_gpt":0.18977301869092622,"score_spread":0.18552066829681363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956905953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2708738,0.006920724,0.70974666,0.0008576659,0.00045434915,0.001214328,0.000058855494,0.00019497788,0.009678621],"genre_scores_gemma":[0.99869096,0.00044141285,0.0002922841,0.00003872918,0.00019633939,0.000041691455,0.000005976611,0.00004368788,0.00024894293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875134,0.00007558185,0.0003300256,0.00020102857,0.0002497268,0.00039230403],"domain_scores_gemma":[0.99905366,0.00028040496,0.00016007049,0.00039174655,0.000076498414,0.000037598118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033051535,0.00018822451,0.0002645788,0.00019531816,0.00008755716,0.000015747946,0.00037118833,0.00010079016,0.000023879982],"category_scores_gemma":[0.00009912667,0.00013433432,0.00014866379,0.000630889,0.00005175575,0.0000978746,0.00003461395,0.0001482159,0.0000031732193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021500471,0.000020857142,0.00005036349,0.00002012763,0.00016933914,1.0444716e-7,0.0005251222,0.92408204,0.01212834,0.059965543,0.00016476287,0.0028519065],"study_design_scores_gemma":[0.00064827775,0.00021067668,0.0014470642,0.000021680633,0.00010136699,0.000007596832,0.00015903873,0.8438659,0.15176775,0.00057385484,0.00093478063,0.00026206157],"about_ca_topic_score_codex":0.0005385173,"about_ca_topic_score_gemma":0.000008636591,"teacher_disagreement_score":0.7278171,"about_ca_system_score_codex":0.0002954251,"about_ca_system_score_gemma":0.000068242254,"threshold_uncertainty_score":0.5477994},"labels":[],"label_agreement":null},{"id":"W2972437593","doi":"10.1016/j.enpol.2019.110914","title":"Regional carbon policies in an interconnected power system: How expanded coverage could exacerbate emission leakage","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"University College London","keywords":"Carbon leakage; Leakage (economics); Greenhouse gas; Welfare; Electricity; Economics; Natural resource economics; Profit (economics); Social cost; Emissions trading; Business; International economics; Environmental science; Microeconomics; Market economy; Engineering; Macroeconomics; Ecology","score_opus":0.04792747793961225,"score_gpt":0.24763286748730323,"score_spread":0.199705389547691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972437593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94075733,0.000342082,0.000030702093,0.0022616382,0.0004152586,0.00013103598,0.00012771648,0.00008733543,0.055846915],"genre_scores_gemma":[0.9923377,0.0003296477,0.000015421238,0.001444059,0.00046830112,0.000035349203,0.00010447617,0.000068798516,0.00519626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981477,0.00004331355,0.0005665937,0.0005781268,0.000045166093,0.0006190842],"domain_scores_gemma":[0.9987626,0.00005282859,0.00034729374,0.0006189834,0.00002316536,0.00019509203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002753053,0.00030112732,0.0005980901,0.00081784726,0.00006638478,0.00014808783,0.00034660462,0.00027258415,0.00015332234],"category_scores_gemma":[0.00006005732,0.0003546512,0.00012520821,0.00034903357,0.00005049092,0.00032184858,0.00013433362,0.00018621827,0.00011224257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016962264,0.00019233477,0.0914252,0.00013058155,0.00006522122,0.000013920003,0.0058465204,0.0006002292,0.0020119427,0.8979251,0.0013686663,0.00025070322],"study_design_scores_gemma":[0.022741253,0.0026676646,0.27475914,0.0014784156,0.000047133333,0.00035905486,0.016778294,0.09268546,0.01136335,0.07745972,0.49051404,0.009146473],"about_ca_topic_score_codex":0.013799258,"about_ca_topic_score_gemma":0.0011675915,"teacher_disagreement_score":0.8204653,"about_ca_system_score_codex":0.00060378585,"about_ca_system_score_gemma":0.000052495157,"threshold_uncertainty_score":0.99989057},"labels":[],"label_agreement":null},{"id":"W2972778067","doi":"10.1016/j.enpol.2019.07.011","title":"Cities and greenhouse gas reduction: Policy makers or policy takers?","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Renewable energy; Natural resource economics; Jurisdiction; Energy policy; Government (linguistics); Business; Economics; Environmental economics; Political science; Engineering","score_opus":0.007210522233286103,"score_gpt":0.2116890120145341,"score_spread":0.204478489781248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972778067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81936353,0.0011663391,0.005034827,0.012448109,0.0017016276,0.0003295739,0.00005560628,0.0033520882,0.15654828],"genre_scores_gemma":[0.97153753,0.001829525,0.0008848387,0.00066242274,0.002489765,0.00002875595,0.000026432002,0.00010028211,0.022440458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989174,0.000025078074,0.00022110456,0.0002454731,0.0001536401,0.00043730123],"domain_scores_gemma":[0.9993885,0.000024734565,0.00004421767,0.00036135293,0.000027950713,0.00015321872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051614472,0.00025363572,0.00021927325,0.000651783,0.00010345786,0.00007432021,0.00015503132,0.00016875367,0.00010880201],"category_scores_gemma":[0.000034477056,0.00024090242,0.00005959247,0.00083956204,0.00007744271,0.00026497626,0.000058962836,0.00012532092,0.000014608447],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045050834,0.000021079373,0.00009571132,0.000057765348,0.000100299796,0.0000050979675,0.00052657723,0.5660234,0.00077051704,0.3958793,0.005021033,0.03145418],"study_design_scores_gemma":[0.004063686,0.00057613803,0.0011917239,0.00024675156,0.000076668155,0.0009500703,0.0008829141,0.121815674,0.014588676,0.025305063,0.8277081,0.0025945266],"about_ca_topic_score_codex":0.0044007627,"about_ca_topic_score_gemma":0.0001280343,"teacher_disagreement_score":0.8226871,"about_ca_system_score_codex":0.00020262999,"about_ca_system_score_gemma":0.00020756196,"threshold_uncertainty_score":0.98237157},"labels":[],"label_agreement":null},{"id":"W2973077959","doi":"10.1016/j.enpol.2019.110915","title":"Transitions between technological generations of alternative fuel vehicles in Brazil","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Research Centre for Gas Innovation; Shell","keywords":"Alternative fuel vehicle; Incentive; Greenhouse gas; Economics; Natural resource economics; Early adopter; Gasoline; Emerging technologies; Automotive industry; Business; Industrial organization; Environmental economics; Alternative fuels; Engineering; Market economy; Waste management; Marketing","score_opus":0.08347958513117437,"score_gpt":0.3771719588175796,"score_spread":0.2936923736864052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973077959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94506955,0.000017347696,0.0070832977,0.0048829187,0.00006572766,0.000058559584,0.000032735767,0.000033560988,0.042756293],"genre_scores_gemma":[0.99605286,0.000005325729,0.0007930615,0.0005100531,0.00012429105,0.000007949018,0.000011812613,0.00000612504,0.0024885365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841416,0.000102665224,0.00058346527,0.00024496592,0.00047778097,0.00017695637],"domain_scores_gemma":[0.99899787,0.00032797505,0.0001675685,0.00028492935,0.00018231574,0.000039373423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061844516,0.00008893883,0.00021889103,0.001020694,0.00005817845,0.000039337145,0.00037351978,0.00010353195,0.00038904164],"category_scores_gemma":[0.0007277385,0.00006864516,0.00006787584,0.0021663287,0.00013271137,0.0001503859,0.00007212399,0.00011606015,0.000086560816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052661494,0.00006469944,0.014189438,0.0000015659476,0.000007446301,0.0000015335129,0.00068137055,0.0014000409,0.0100335665,0.9096043,0.00036563276,0.06364513],"study_design_scores_gemma":[0.0021780806,0.00021267578,0.18990363,0.00006152796,0.000009204878,0.00001149347,0.0022100906,0.023901135,0.046038438,0.655247,0.079667434,0.0005593128],"about_ca_topic_score_codex":0.00029575525,"about_ca_topic_score_gemma":0.000113026836,"teacher_disagreement_score":0.25435734,"about_ca_system_score_codex":0.00003343215,"about_ca_system_score_gemma":0.00008512762,"threshold_uncertainty_score":0.42597333},"labels":[],"label_agreement":null},{"id":"W2975248103","doi":"10.1016/j.enpol.2019.111001","title":"Effect of gasoline prices on car fuel efficiency: Evidence from Lebanon","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Gasoline; Sample (material); Economics; Alternative fuel vehicle; Empirical evidence; Fuel efficiency; Middle East; Econometrics; Automotive industry; Business; Alternative fuels; Engineering; Automotive engineering; Waste management; Diesel fuel; Geography","score_opus":0.007705670464669738,"score_gpt":0.2523737164991657,"score_spread":0.24466804603449593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975248103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621239,0.0007822452,0.00012644807,0.00024589308,0.000235582,0.00008361638,0.000031233845,0.00009061642,0.036280505],"genre_scores_gemma":[0.9940768,0.00077049463,0.00007783746,0.0004997946,0.00042513575,0.000027095217,0.00006886027,0.000049110942,0.0040048906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982075,0.0001518377,0.0003911725,0.00042510667,0.00042728853,0.00039708673],"domain_scores_gemma":[0.99831367,0.0006604769,0.00022567631,0.0006520637,0.000021593285,0.00012651554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017800543,0.00030714727,0.00041905843,0.00025506134,0.000052588137,0.00001749934,0.00035494313,0.00014343666,0.00046220463],"category_scores_gemma":[0.00009776039,0.00025520226,0.0001771673,0.00034913942,0.000115597446,0.00016026152,0.00003217457,0.00011150704,0.00020337912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061337126,0.00034370372,0.014802574,0.00026186393,0.00026103883,0.000016618415,0.002627038,0.41223913,0.12983693,0.42670298,0.000336733,0.011958007],"study_design_scores_gemma":[0.0025563277,0.0024002166,0.06395545,0.00046689395,0.00015131554,0.0000028679692,0.00005933425,0.0016364477,0.84738433,0.0020704777,0.07846681,0.0008495147],"about_ca_topic_score_codex":0.052142363,"about_ca_topic_score_gemma":0.0012147697,"teacher_disagreement_score":0.7175474,"about_ca_system_score_codex":0.00007902575,"about_ca_system_score_gemma":0.00005930044,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W2976548518","doi":"10.1016/j.enpol.2019.111000","title":"Financial development and energy consumption: Is the MENA region different?","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Per capita; Energy consumption; Middle East; Economics; Consumption (sociology); Estimation; Financial crisis; Panel data; Economy; Business; Geography; Econometrics; Macroeconomics","score_opus":0.02218544916738918,"score_gpt":0.19542302669332778,"score_spread":0.1732375775259386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976548518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93860435,0.0019949337,0.0012894698,0.0039012197,0.00047323064,0.00006663024,0.000024586701,0.000047624682,0.053597927],"genre_scores_gemma":[0.96729285,0.0015599509,0.000117231284,0.004727091,0.00034810847,0.000054596014,0.00001810114,0.00003749277,0.025844574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984852,0.000022892416,0.0005180833,0.0005398343,0.000041674768,0.00039233034],"domain_scores_gemma":[0.9990225,0.00005403175,0.00030985085,0.0005128541,0.0000055052606,0.00009526121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013655167,0.00024872477,0.0003571456,0.00021776039,0.00016746715,0.00006666147,0.00027925606,0.00014030295,0.00047858723],"category_scores_gemma":[0.000023470619,0.00023038374,0.00008368135,0.00010591565,0.00010856787,0.00015027639,0.0001861563,0.000096933916,0.0003818887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009210171,0.000034729368,0.02840852,0.000009021686,0.0000436216,0.0000013473413,0.00031201437,0.000042116906,0.000015512725,0.9632516,0.0023784486,0.0054938872],"study_design_scores_gemma":[0.00069711264,0.0000362207,0.09971646,0.000012741641,0.000004269945,0.000012936173,0.000016891947,0.000401144,0.0012930435,0.0352519,0.86216414,0.00039313833],"about_ca_topic_score_codex":0.0007403783,"about_ca_topic_score_gemma":0.00011292907,"teacher_disagreement_score":0.9279997,"about_ca_system_score_codex":0.0002442414,"about_ca_system_score_gemma":0.000037501006,"threshold_uncertainty_score":0.9394776},"labels":[],"label_agreement":null},{"id":"W2984473614","doi":"10.1016/j.enpol.2019.111078","title":"Consumer responses to gasoline price and non-price policies","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Rationing; Price elasticity of demand; Consumption (sociology); Price elasticity of supply; Gasoline; Urbanization; Agricultural economics; Income elasticity of demand; Labour economics; Microeconomics; Economic growth","score_opus":0.0087737949061475,"score_gpt":0.2532108077919051,"score_spread":0.2444370128857576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984473614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87955123,0.0002575063,0.00024216367,0.0029843394,0.00015415503,0.00009838314,0.000041305615,0.00013282105,0.116538085],"genre_scores_gemma":[0.9357718,0.00069062,0.00043304943,0.008458451,0.0003914243,0.000045650526,0.00003454549,0.00006902718,0.05410539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981899,0.00007848065,0.0003735109,0.00044082775,0.000283859,0.0006334207],"domain_scores_gemma":[0.998727,0.00019818287,0.00011360801,0.00056788145,0.00003924102,0.00035407918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012690171,0.00032968482,0.00034327738,0.00049347174,0.00013732338,0.000056640376,0.00024405665,0.00013815956,0.00039676868],"category_scores_gemma":[0.00008494666,0.00031629656,0.00008569433,0.0005084381,0.00013499659,0.00017334642,0.00006413572,0.000108680964,0.00038323656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026086258,0.00016148474,0.018522697,0.00005180392,0.00018312674,0.000015460473,0.003432018,0.012201279,0.05042232,0.90866303,0.003253462,0.0028324444],"study_design_scores_gemma":[0.0008501614,0.00013261888,0.19569923,0.000028795355,0.000025246334,0.000016368136,0.00020626228,0.00006819075,0.019066032,0.0011186387,0.7822999,0.00048855407],"about_ca_topic_score_codex":0.030417802,"about_ca_topic_score_gemma":0.0011888454,"teacher_disagreement_score":0.9075444,"about_ca_system_score_codex":0.00008003819,"about_ca_system_score_gemma":0.00009672825,"threshold_uncertainty_score":0.9999289},"labels":[],"label_agreement":null},{"id":"W2987780270","doi":"10.1016/j.enpol.2019.111042","title":"Catalyzing political momentum for the effective implementation of decarbonization for urban buildings","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cognitive reframing; Politics; Corporate governance; Greenhouse gas; Momentum (technical analysis); Climate change; Climate change mitigation; Climate governance; Political science; Economic system; Political economy; Economics; Ecology; Management","score_opus":0.005609977762222637,"score_gpt":0.2756106296160619,"score_spread":0.27000065185383926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987780270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989894,0.00003410482,0.0067036557,0.0017092047,0.000092611685,0.00074142177,0.000054824683,0.000013337666,0.00075687014],"genre_scores_gemma":[0.99879295,0.0000063433076,0.00012347447,0.00031180435,0.00012607049,0.00031320227,0.000022350683,0.000011547827,0.00029225132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930114,0.000016885879,0.0001268243,0.00016397952,0.00011177741,0.00027937887],"domain_scores_gemma":[0.99944043,0.0002736531,0.00008459826,0.00014696042,0.000018341038,0.000036040703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015620423,0.000073756964,0.000086487504,0.00002229269,0.00007887808,0.000010991473,0.00012306808,0.000031475916,0.00008125495],"category_scores_gemma":[0.00008979649,0.000058307505,0.00005962662,0.00015378816,0.00006708271,0.000106633204,0.000064338885,0.000019033962,0.000002639744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120031655,0.00008966429,0.066512,0.000144398,0.000051505183,1.1682202e-7,0.007788844,0.0016570588,0.019554606,0.88243353,0.0020505,0.019597748],"study_design_scores_gemma":[0.0048043104,0.0011853412,0.19050995,0.0000448541,0.00012151508,0.000003976309,0.030487126,0.010806902,0.5040338,0.06883645,0.18844314,0.0007226352],"about_ca_topic_score_codex":0.007674716,"about_ca_topic_score_gemma":0.00029289653,"teacher_disagreement_score":0.8135971,"about_ca_system_score_codex":0.00042219379,"about_ca_system_score_gemma":0.000021160336,"threshold_uncertainty_score":0.99893326},"labels":[],"label_agreement":null},{"id":"W2989981212","doi":"10.1016/j.enpol.2019.110907","title":"Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Infection and Immunity; European Commission; European Research Council; Institute for New Economic Thinking","keywords":"Renewable energy; Fossil fuel; Carbon tax; Natural resource economics; Economics; Subsidy; Climate change; Energy transition; Climate change mitigation; Environmental science; Ecology; Market economy","score_opus":0.04028241834118333,"score_gpt":0.24210059622297966,"score_spread":0.20181817788179635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989981212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193117,0.0013577485,0.0009753446,0.0016833873,0.00013720723,0.00003316946,0.0019850591,0.000039910967,0.07447647],"genre_scores_gemma":[0.9918058,0.004872122,0.00022223397,0.00071053585,0.0001170357,0.00001181697,0.00010896498,0.000029680145,0.0021218134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985929,0.000011926546,0.00052535953,0.00036837842,0.000030708805,0.00047074165],"domain_scores_gemma":[0.9991791,0.000028849932,0.00032800034,0.00030442976,0.000022174429,0.00013740425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013709604,0.00022099206,0.0004903661,0.00027636078,0.0000989805,0.000080658516,0.00014622354,0.000164211,0.000058138936],"category_scores_gemma":[0.000013479781,0.0002699372,0.000086625565,0.00019326288,0.00013900663,0.00026484096,0.00021131865,0.00004924821,0.000010258033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021273723,0.000040820756,0.025321864,0.000051511823,0.000025949006,3.2587224e-7,0.00017812791,0.0058616777,0.000022434733,0.9678421,0.000069528556,0.0005643976],"study_design_scores_gemma":[0.002164809,0.00023280337,0.036511153,0.00007469115,0.0000312496,0.000057358488,0.0005770941,0.3588285,0.00014543264,0.59580123,0.0046176063,0.00095806766],"about_ca_topic_score_codex":0.07973568,"about_ca_topic_score_gemma":0.016275272,"teacher_disagreement_score":0.37204087,"about_ca_system_score_codex":0.0002523338,"about_ca_system_score_gemma":0.000034256922,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W2990247738","doi":"10.1016/j.enpol.2019.111192","title":"The effect of FDI on environmental emissions: Evidence from a meta-analysis","year":2019,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":523,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Deakin University","keywords":"Foreign direct investment; Nexus (standard); Economics; Greenhouse gas; International economics; Natural resource economics; Macroeconomics; Ecology; Engineering","score_opus":0.030449144579051773,"score_gpt":0.23477853534129814,"score_spread":0.20432939076224638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990247738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708183,0.009890572,0.00034746513,0.0016025226,0.00017676922,0.00017473982,0.00035819013,0.000025416884,0.016606051],"genre_scores_gemma":[0.98968387,0.0010432791,0.000063959655,0.00034148034,0.00011980853,0.0000685338,0.000026671552,0.000032801563,0.008619581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818444,0.00011022562,0.0006991409,0.0006069819,0.000074718235,0.00032447514],"domain_scores_gemma":[0.9970839,0.0009778704,0.0006155852,0.0012092934,0.0000016111896,0.000111747366],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061006314,0.00026208546,0.0010216814,0.00031531134,0.00010386028,0.000039412622,0.0005540998,0.000112229995,0.0023999482],"category_scores_gemma":[0.00016323522,0.00019894778,0.0010582902,0.0002735791,0.00010713568,0.00015313967,0.00015579248,0.00011899585,0.0009796135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000242531,0.00021459842,0.27264363,0.000020784353,0.10462925,0.0000045731344,0.0003731908,0.057166927,0.002188373,0.55899274,0.0014885386,0.002034853],"study_design_scores_gemma":[0.004658187,0.0030208603,0.35858333,0.000054282482,0.038840793,0.000005160014,0.0001710026,0.022613076,0.10697,0.08968615,0.37187582,0.0035213418],"about_ca_topic_score_codex":0.0039358274,"about_ca_topic_score_gemma":0.000057254816,"teacher_disagreement_score":0.46930662,"about_ca_system_score_codex":0.00022151569,"about_ca_system_score_gemma":0.0000106328325,"threshold_uncertainty_score":0.99979824},"labels":[],"label_agreement":null},{"id":"W3003923904","doi":"10.1016/j.enpol.2020.111295","title":"Renewable energy consumption and economic growth nexus: Evidence from a threshold model","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":448,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Edge Hill University","keywords":"Renewable energy; Nexus (standard); Economics; Renewable energy credit; Energy consumption; Consumption (sociology); Feed-in tariff; Developing country; Natural resource economics; Energy policy; Economic growth; Engineering","score_opus":0.053351370239597434,"score_gpt":0.22678100199645504,"score_spread":0.1734296317568576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003923904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7691064,0.019901978,0.08535612,0.018710097,0.0006356842,0.00025118954,0.0011369518,0.0004503678,0.10445121],"genre_scores_gemma":[0.9831127,0.007677292,0.001084098,0.0055012307,0.00078699033,0.000060942315,0.000055332504,0.00008386847,0.0016375341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975436,0.000024925757,0.00079680176,0.0010783367,0.000041940937,0.0005144276],"domain_scores_gemma":[0.9985087,0.000098909804,0.0004569045,0.0005238096,0.0000074834043,0.00040421737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016913816,0.0003632374,0.0006133276,0.00025238752,0.00013483514,0.00014311475,0.000446116,0.00021721373,0.0005315877],"category_scores_gemma":[0.00010105685,0.00047646667,0.00013608417,0.000119087614,0.00016104667,0.00075519475,0.0003011074,0.00012812148,0.00036264403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050572453,0.00003704486,0.027204344,0.000020333815,0.00012331887,0.0000045010042,0.0005349967,0.13309027,0.00043414265,0.83201677,0.006199928,0.00028378758],"study_design_scores_gemma":[0.0012840561,0.00011443925,0.0054772366,0.00004323111,0.000024881403,0.0000057179695,0.00003933463,0.65473384,0.0033446727,0.30855757,0.025348235,0.0010268174],"about_ca_topic_score_codex":0.055691138,"about_ca_topic_score_gemma":0.0012199677,"teacher_disagreement_score":0.5234592,"about_ca_system_score_codex":0.00039099774,"about_ca_system_score_gemma":0.00007498362,"threshold_uncertainty_score":0.9997687},"labels":[],"label_agreement":null},{"id":"W3007584316","doi":"10.1016/j.enpol.2020.111348","title":"Reforming the electric power industry in developing economies evidence on efficiency and electricity access outcomes","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Aging","keywords":"Endogeneity; Electricity; Mains electricity; Exploit; Electric power industry; Robustness (evolution); Per capita; Economics; Developing country; Business; Electric power; Consumption (sociology); Industrial organization; Power (physics); Economic growth; Engineering; Population; Econometrics","score_opus":0.02571440024876655,"score_gpt":0.2671849704988075,"score_spread":0.24147057025004096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007584316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689865,0.0014499997,0.014380242,0.008728508,0.00013516756,0.00019488853,0.0000010157939,0.00030611258,0.005817543],"genre_scores_gemma":[0.9971243,0.00038120465,0.000041288615,0.0022614205,0.00008778424,0.00002623073,6.577825e-7,0.000026726424,0.000050392693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989503,0.00005338791,0.00028616493,0.00021613094,0.0001198426,0.0003741802],"domain_scores_gemma":[0.9994807,0.00021338426,0.000057225338,0.00016132652,0.000018059249,0.000069252594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015775012,0.00018243921,0.00020877492,0.00030922086,0.00008254445,0.00008879482,0.00034070958,0.00019290604,0.0000049563882],"category_scores_gemma":[0.00039990534,0.00014105586,0.0000264343,0.0014742399,0.000013791928,0.00034275308,0.000061668405,0.0004265761,0.0000043547398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006643125,0.00005120405,0.06529447,0.00020145172,0.00017026013,0.00002945369,0.004447547,0.809595,0.0023334033,0.08812035,0.0019275134,0.027762908],"study_design_scores_gemma":[0.001617047,0.00048826396,0.1770068,0.0005453159,0.000038785365,0.000060907158,0.00017562328,0.71498066,0.092018224,0.0010138653,0.009817782,0.0022367388],"about_ca_topic_score_codex":0.00041769698,"about_ca_topic_score_gemma":0.000051416024,"teacher_disagreement_score":0.11171233,"about_ca_system_score_codex":0.00036910284,"about_ca_system_score_gemma":0.00013128422,"threshold_uncertainty_score":0.5752091},"labels":[],"label_agreement":null},{"id":"W3008574743","doi":"10.1016/j.enpol.2020.111335","title":"Leveraging concentrating solar power plant dispatchability: A review of the impacts of global market structures and policy","year":2020,"lang":"en","type":"review","venue":"Energy Policy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"U.S. Department of Energy","keywords":"Dispatchable generation; Renewable energy; Software deployment; Variable renewable energy; Environmental economics; Flexibility (engineering); Electricity market; Grid; Electricity; Solar power; Concentrated solar power; Valuation (finance); Distributed generation; Energy storage; Economics; Computer science; Engineering; Power (physics); Electrical engineering; Finance","score_opus":0.018651829585705083,"score_gpt":0.291843916632405,"score_spread":0.2731920870466999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008574743","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012877375,0.9914244,0.0000055796336,0.00025931798,0.00021807199,0.00036978588,0.0006792524,0.00003160958,0.0068832533],"genre_scores_gemma":[0.014029677,0.9841412,0.000020275997,0.0009205271,0.0007051147,0.000021020913,0.00004057333,0.00005555274,0.00006608793],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964485,0.000969047,0.0012352059,0.0004507816,0.00042031807,0.00047615488],"domain_scores_gemma":[0.99726504,0.00026181538,0.001440013,0.00073655683,0.00006602123,0.00023055355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003425326,0.0005941576,0.0023867046,0.000070094946,0.00009001061,0.000030552143,0.0006208442,0.0002755426,0.00011448135],"category_scores_gemma":[0.0011682274,0.00036494524,0.00071729615,0.0009367665,0.00019720718,0.00006158099,0.00037839892,0.00026820417,0.0000012382619],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026882664,0.000037066766,0.00037149983,0.14536281,0.0008799987,0.00001425292,0.00062728353,0.0000026816056,0.000027666958,0.07660318,0.0016618164,0.77438486],"study_design_scores_gemma":[0.00016762874,0.000037887992,0.00020511313,0.060387995,0.00027409653,0.00017605034,0.000036358153,0.000010081029,0.00003239978,0.0008865345,0.93747294,0.0003128901],"about_ca_topic_score_codex":0.06704565,"about_ca_topic_score_gemma":0.0003930642,"teacher_disagreement_score":0.93581116,"about_ca_system_score_codex":0.00030070153,"about_ca_system_score_gemma":0.0012975492,"threshold_uncertainty_score":0.99988025},"labels":[],"label_agreement":null},{"id":"W3011035606","doi":"10.1016/j.enpol.2020.111408","title":"Conceptualising the Energy Constitution: Lessons from Northern Ireland","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; University of Sussex; University College Cork; University of Stirling; Cardiff University; University of St Andrews","keywords":"Nexus (standard); Constitution; Jurisdiction; Constitutionality; Energy policy; Energy poverty; Corporate governance; Political science; Public administration; Political economy; Law; Economic system; Economics; Sociology; Engineering; Renewable energy","score_opus":0.02356249365972332,"score_gpt":0.23911267477636527,"score_spread":0.21555018111664195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011035606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5020629,0.0007897072,0.013430898,0.09020373,0.00037783376,0.00008124517,0.00009374749,0.00028374532,0.39267617],"genre_scores_gemma":[0.97970563,0.0001482534,0.00008997424,0.01818273,0.00070049596,0.000008629955,0.000038590293,0.000015622578,0.0011100579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880296,0.000100144935,0.00017664311,0.00031235183,0.00027084007,0.00033705687],"domain_scores_gemma":[0.9992783,0.000088986315,0.000078043944,0.0002916954,0.0000022609963,0.0002606998],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000050070794,0.00018669812,0.00014475654,0.000014385412,0.00032932663,0.000045302033,0.00034492102,0.00009057886,0.0020344248],"category_scores_gemma":[0.00006217558,0.0001345499,0.00007268105,0.00025076608,0.00062711246,0.00018133988,0.00022950987,0.00010660631,0.00031957298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009009255,0.00014586149,0.02218636,0.0000025745182,0.000162997,0.00008706142,0.005610596,0.40680185,0.016136443,0.4561176,0.03494816,0.057710424],"study_design_scores_gemma":[0.00045711387,0.000046569367,0.011303618,0.000008056824,0.000024264986,0.000008724642,0.00017741448,0.00094333745,0.0062820525,0.002959071,0.9774775,0.00031231166],"about_ca_topic_score_codex":0.02344784,"about_ca_topic_score_gemma":0.0026987426,"teacher_disagreement_score":0.9425293,"about_ca_system_score_codex":0.0001254289,"about_ca_system_score_gemma":0.000035985122,"threshold_uncertainty_score":0.9988778},"labels":[],"label_agreement":null},{"id":"W3015147850","doi":"","title":"How do we power decarbonization? Land and other resources in Canada’s West","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Natural resource economics; Environmental science; Economics; Physics","score_opus":0.011879668838245906,"score_gpt":0.24538767569319228,"score_spread":0.23350800685494638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015147850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6764626,0.0034009856,0.000047620226,0.18274714,0.00025040266,0.0000914422,0.000017686214,0.000102534905,0.13687961],"genre_scores_gemma":[0.9928663,0.00048218426,0.00005143922,0.0036784585,0.00094923296,0.0000073145497,8.30819e-7,0.000020050895,0.0019442042],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989338,0.00012338988,0.00010739732,0.00021495401,0.00029391595,0.0003265545],"domain_scores_gemma":[0.99953276,0.00006869042,0.000061277766,0.00008532429,0.000027959979,0.00022397081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007151337,0.00010715977,0.00015333334,0.00007174086,0.00017301348,0.00014259071,0.00020620787,0.00007565828,0.00012891453],"category_scores_gemma":[0.0002904451,0.000108699875,0.000020129015,0.0006195721,0.00011375301,0.00012554902,0.000048291993,0.000058566176,0.0000011055471],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034316745,0.000031643984,0.44071567,0.000011917354,0.00004874059,0.000042963475,0.04651667,0.001519153,0.000097167955,0.42349264,0.01194635,0.075542785],"study_design_scores_gemma":[0.00024903342,0.00001144363,0.008114429,0.00001224101,0.0000027754554,3.096691e-7,0.013804351,0.00003576278,0.00006198202,0.0016312568,0.975901,0.00017541197],"about_ca_topic_score_codex":0.99336207,"about_ca_topic_score_gemma":0.9985638,"teacher_disagreement_score":0.9639546,"about_ca_system_score_codex":0.00030860704,"about_ca_system_score_gemma":0.0014286266,"threshold_uncertainty_score":0.4432652},"labels":[],"label_agreement":null},{"id":"W3036468759","doi":"10.1016/j.enpol.2020.111658","title":"Integrated North American energy markets under different futures of cross-border energy infrastructure","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Renewable Energy Laboratory; U.S. Department of Energy; National Science Foundation","keywords":"Futures contract; Renewable energy; Electricity; Natural resource economics; Natural gas; Production (economics); Investment (military); Energy supply; Electricity generation; Energy policy; Business; Environmental economics; Energy (signal processing); Economics; Engineering; Microeconomics; Finance; Power (physics)","score_opus":0.004506635792503572,"score_gpt":0.24920844890052019,"score_spread":0.2447018131080166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036468759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.680309,0.0010836532,0.28056914,0.00074213394,0.0014005495,0.000119104036,0.00032398154,0.0019293214,0.0335231],"genre_scores_gemma":[0.9949112,0.0004259708,0.0004934595,0.0017922159,0.00094791455,0.000040580027,0.00036512376,0.00017389804,0.0008496478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978047,0.0001312384,0.00068996585,0.0004297514,0.00035391882,0.00059040595],"domain_scores_gemma":[0.99871355,0.000055420976,0.0002146892,0.0004470189,0.0002444178,0.00032490195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000029049274,0.00059652614,0.0006752997,0.00039620494,0.00009411386,0.0000844635,0.0003963543,0.0002254247,0.00023625969],"category_scores_gemma":[0.000066097644,0.0005147492,0.00017761298,0.0017156845,0.00021263475,0.00019276644,0.000088636225,0.00023937756,0.0000026585403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078497134,0.000028038492,0.00086857605,0.00003824807,0.0003119123,0.00000696698,0.00027641936,0.9085163,0.002450745,0.048435103,0.004514967,0.034474235],"study_design_scores_gemma":[0.0016089616,0.00031669484,0.039913066,0.00009187602,0.00008838384,0.000036960264,0.00046885773,0.46930492,0.0656489,0.00056363596,0.42008072,0.0018770179],"about_ca_topic_score_codex":0.009697612,"about_ca_topic_score_gemma":0.004325038,"teacher_disagreement_score":0.43921137,"about_ca_system_score_codex":0.00025531347,"about_ca_system_score_gemma":0.0001329836,"threshold_uncertainty_score":0.9997304},"labels":[],"label_agreement":null},{"id":"W3083245454","doi":"10.1016/j.enpol.2021.112211","title":"The displacement impacts of wind power electricity generation: Costly lessons from Ontario","year":2021,"lang":"en","type":"preprint","venue":"Energy Policy","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Mitacs","keywords":"Electricity generation; Wind power; Electricity; Environmental science; Renewable energy; Thermal power station; Natural resource economics; Agricultural economics; Business; Economics; Power (physics); Engineering; Waste management","score_opus":0.027897438302563398,"score_gpt":0.31587231832012364,"score_spread":0.2879748800175602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083245454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8111422,0.0035849884,0.00019819409,0.093647465,0.0016675272,0.00030275132,0.0011049784,0.000036539932,0.08831536],"genre_scores_gemma":[0.9581348,0.0013647553,0.000031522904,0.0028978712,0.0021344437,0.000017182934,0.0000894026,0.000016717458,0.035313357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796605,0.00028333708,0.00032607003,0.0003574822,0.0005402706,0.00052679994],"domain_scores_gemma":[0.9984947,0.0001755205,0.00037222364,0.00056596793,0.0001259581,0.0002656484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031058077,0.00020903873,0.0002909243,0.000072881856,0.00060979574,0.0002766651,0.0005489079,0.0002868459,0.00032920478],"category_scores_gemma":[0.00040444123,0.00018678296,0.00019935159,0.00028755906,0.00023692302,0.000081838414,0.00022927501,0.00037102174,0.000003112363],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030168872,0.000097439995,0.00071004446,0.000006781432,0.00031748775,0.00001565452,0.03610811,0.00083758734,0.0003547265,0.82490236,0.13273858,0.0038810556],"study_design_scores_gemma":[0.00018961806,0.000022522652,0.015922178,0.00005414252,0.000033790486,5.43198e-7,0.00022157367,0.00002759992,0.0017076979,0.005958206,0.9755783,0.00028381357],"about_ca_topic_score_codex":0.994713,"about_ca_topic_score_gemma":0.9965613,"teacher_disagreement_score":0.8428397,"about_ca_system_score_codex":0.0019366302,"about_ca_system_score_gemma":0.010664124,"threshold_uncertainty_score":0.9949445},"labels":[],"label_agreement":null},{"id":"W3083576907","doi":"10.1016/j.enpol.2020.111760","title":"Rethinking electric vehicle subsidies, rediscovering energy efficiency","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subsidy; Truck; Electricity; Energy intensity; Environmental science; Automotive engineering; Efficient energy use; Environmental economics; Economics; Engineering; Electrical engineering","score_opus":0.012243317536133188,"score_gpt":0.21007999911697006,"score_spread":0.19783668158083687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083576907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8031954,0.006842403,0.02292287,0.0034020117,0.0004199151,0.00006537834,0.00001338763,0.002160536,0.16097808],"genre_scores_gemma":[0.996274,0.00094452273,0.00016772082,0.0011288467,0.0011716287,0.00000846022,0.0000063195703,0.000051768246,0.00024676535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892706,0.000019876077,0.00021538255,0.00020894383,0.00017260032,0.0004561185],"domain_scores_gemma":[0.99957794,0.00003299216,0.000028230847,0.00017184117,0.000013909055,0.00017509979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059693975,0.00018498377,0.00017125426,0.00013142101,0.0001784226,0.00004377724,0.0002443005,0.00009788686,0.000050214396],"category_scores_gemma":[0.000035084126,0.00018443444,0.00006418592,0.00094193005,0.000022459306,0.0001508984,0.000062793675,0.0001725182,0.000018037688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030496241,0.000038928014,0.0004322187,0.00012443497,0.00008723043,0.00004504967,0.0031630744,0.5100172,0.23592006,0.15787272,0.014192871,0.07807572],"study_design_scores_gemma":[0.00028419655,0.00009121432,0.00018599312,0.000034356617,0.0000071923155,0.000010786848,0.000016940337,0.7446651,0.098695345,0.0010999598,0.15454148,0.00036745457],"about_ca_topic_score_codex":0.0006524985,"about_ca_topic_score_gemma":0.000023108209,"teacher_disagreement_score":0.2346479,"about_ca_system_score_codex":0.000080297374,"about_ca_system_score_gemma":0.00007033656,"threshold_uncertainty_score":0.7521018},"labels":[],"label_agreement":null},{"id":"W3091035400","doi":"10.1016/j.enpol.2020.111915","title":"Analyzing uncertainty in projections of Canadian energy use and production: Results and insights from EMF 34 scenarios","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Scenario analysis; Key (lock); Energy (signal processing); Production (economics); Complement (music); Projection (relational algebra); Econometrics; Baseline (sea); Computer science; Uncertainty analysis; Operations research; Risk analysis (engineering); Economics; Engineering; Microeconomics; Simulation; Statistics; Mathematics; Political science; Business; Computer security","score_opus":0.09867995070130536,"score_gpt":0.23352621919000366,"score_spread":0.1348462684886983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091035400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97833765,0.0010224598,0.000016090413,0.014400611,0.00012539056,0.00006123958,0.0006220977,0.000017823577,0.0053966604],"genre_scores_gemma":[0.99406075,0.004044003,0.00010739,0.0010167371,0.00042593956,0.000013520315,0.00008278417,0.000017151491,0.0002317407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988059,0.000017376526,0.0004935011,0.00042776804,0.000013497785,0.00024199784],"domain_scores_gemma":[0.99932724,0.000048209895,0.00019023963,0.00019200082,0.000018480565,0.00022381416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006982947,0.00013590234,0.00032163056,0.0010525606,0.00009729802,0.00006297792,0.00008110626,0.000103843326,0.000018189985],"category_scores_gemma":[0.00033636438,0.00016523061,0.00003549012,0.0007586749,0.000075511736,0.00027796827,0.000056451023,0.000083606625,0.000004454355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014728092,0.00007244487,0.042618886,0.000045231955,0.00014149136,0.00001057287,0.017311417,0.006062823,0.0001659346,0.9288753,0.0024830918,0.0020654823],"study_design_scores_gemma":[0.0036903312,0.00029419738,0.11839471,0.00014732358,0.00003473747,0.00001626669,0.0022877322,0.055665776,0.0013381509,0.096360736,0.7201902,0.0015797934],"about_ca_topic_score_codex":0.9144767,"about_ca_topic_score_gemma":0.7480765,"teacher_disagreement_score":0.8325146,"about_ca_system_score_codex":0.0001580494,"about_ca_system_score_gemma":0.00008307601,"threshold_uncertainty_score":0.6737909},"labels":[],"label_agreement":null},{"id":"W3108581040","doi":"10.1016/j.enpol.2020.112046","title":"North American energy system responses to natural gas price shocks","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Alberta Energy","funders":"National Renewable Energy Laboratory; U.S. Department of Energy; National Science Foundation","keywords":"Natural gas; Natural gas prices; Economics; Electricity; Natural resource economics; Renewable energy; Electricity price; Mandate; Shock (circulatory); Engineering; Waste management","score_opus":0.016047022817941205,"score_gpt":0.22017141674078475,"score_spread":0.20412439392284354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108581040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9113738,0.00045657103,0.010856235,0.010401159,0.00038749535,0.00010023087,0.0004945432,0.00023189367,0.06569805],"genre_scores_gemma":[0.9902821,0.000065996865,0.00037928793,0.005753101,0.0006831519,0.000027933214,0.000033348195,0.0000375516,0.002737503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835736,0.000051863408,0.0005249913,0.00055323273,0.00005872591,0.00045382732],"domain_scores_gemma":[0.9988279,0.000084553176,0.00025947057,0.00041706706,0.000036767455,0.00037424226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016326856,0.00022080417,0.00047596573,0.0002840259,0.000113620845,0.00007912388,0.00038911944,0.000048445094,0.000049754726],"category_scores_gemma":[0.0003158367,0.0002488645,0.00013683095,0.001140139,0.000052435633,0.00009709037,0.00017589904,0.00011830627,0.000056753255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000289959,0.000047574045,0.13196628,0.000041146268,0.00008970143,0.000017984657,0.00047538787,0.00018685669,0.000015300842,0.8538375,0.0037817406,0.009250593],"study_design_scores_gemma":[0.00039387995,0.00023939996,0.13615067,0.000011217135,0.0000061206083,0.0000081783555,0.000091171234,0.15024115,0.000049934846,0.0012634357,0.71084666,0.0006981526],"about_ca_topic_score_codex":0.013333142,"about_ca_topic_score_gemma":0.0017462358,"teacher_disagreement_score":0.85257405,"about_ca_system_score_codex":0.00024135536,"about_ca_system_score_gemma":0.00006858319,"threshold_uncertainty_score":0.99999636},"labels":[],"label_agreement":null},{"id":"W3124949611","doi":"10.1016/j.enpol.2015.01.012","title":"The effects of the energy price reform on households consumption in Iran","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Subsidy; Energy subsidies; Energy consumption; Consumption (sociology); Energy (signal processing); Energy policy; Agricultural economics; Labour economics; Market economy; Renewable energy","score_opus":0.01846828690801843,"score_gpt":0.24395079149714824,"score_spread":0.2254825045891298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124949611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89232,0.00074587256,0.000086446926,0.0016049766,0.00068004447,0.00009678605,0.000010135177,0.00010154082,0.10435423],"genre_scores_gemma":[0.99067104,0.0010387348,0.000012717352,0.0015002814,0.00025390612,0.00006832803,0.00001241861,0.000042238076,0.0064003384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984387,0.0001855637,0.00037161727,0.00022203769,0.00039412256,0.00038793898],"domain_scores_gemma":[0.99881536,0.00020751769,0.00019792786,0.0006427082,0.00001635493,0.00012012749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017803554,0.00021687215,0.00020160181,0.00013115648,0.00014166647,0.000020146916,0.0003934436,0.00013411276,0.0000072254584],"category_scores_gemma":[0.000106999774,0.00013084705,0.000112974296,0.00038853296,0.00024995313,0.00009039089,0.000043154614,0.00011920334,0.000010215724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055432338,0.00010732044,0.0019087963,0.000016845928,0.000036966292,0.0000032702765,0.0007550682,0.014822711,0.0012026826,0.9770749,0.00041909615,0.0035968733],"study_design_scores_gemma":[0.003232716,0.00033085432,0.24473263,0.00015353206,0.00004512361,0.000008024071,0.00028292416,0.00027388716,0.13949567,0.022245081,0.5886719,0.00052764366],"about_ca_topic_score_codex":0.054547265,"about_ca_topic_score_gemma":0.018361133,"teacher_disagreement_score":0.9548299,"about_ca_system_score_codex":0.00030943612,"about_ca_system_score_gemma":0.000064068154,"threshold_uncertainty_score":0.99955124},"labels":[],"label_agreement":null},{"id":"W3161070515","doi":"10.1016/j.enpol.2021.112303","title":"Do public review processes reflect public input? A study of hydraulic fracturing reviews in Australia and Canada","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia","funders":"","keywords":"Government (linguistics); Hydraulic fracturing; Public opinion; Public relations; Public policy; Process (computing); Political science; Engineering; Public administration; Business; Computer science; Law","score_opus":0.028834712481149227,"score_gpt":0.2770545021101672,"score_spread":0.24821978962901797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161070515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880137,0.0073349676,0.000040403724,0.0017146673,0.000031427215,0.00020323522,0.0000018724825,0.000010333037,0.002649382],"genre_scores_gemma":[0.9782217,0.018093366,0.00037762502,0.0018816239,0.000031810367,0.00005484576,0.000005280004,0.000016344044,0.001317381],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998349,0.00015788592,0.00044087807,0.0003896035,0.00030597506,0.000356619],"domain_scores_gemma":[0.9992652,0.000029129036,0.00017219715,0.0003569146,0.0000066143143,0.00016997334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020079795,0.00019641794,0.0003837505,0.000016465758,0.00006138987,0.00002635161,0.00022766624,0.000046944984,0.0005329953],"category_scores_gemma":[0.00026808112,0.00017487773,0.000028604361,0.00083434564,0.00008303683,0.00023867724,0.00032093027,0.0001264087,0.000005349008],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012099824,0.001719129,0.858255,0.0017082124,0.00009219442,0.00024271604,0.0013776891,0.005162392,0.0004978787,0.00077555585,0.00753598,0.12262112],"study_design_scores_gemma":[0.0008633669,0.00019708413,0.21396276,0.00070299546,0.00004890009,0.000089028974,0.00054190314,0.00012521302,0.00022776113,0.0003363175,0.7821704,0.00073426706],"about_ca_topic_score_codex":0.6651263,"about_ca_topic_score_gemma":0.82921076,"teacher_disagreement_score":0.7746344,"about_ca_system_score_codex":0.000447818,"about_ca_system_score_gemma":0.00017410894,"threshold_uncertainty_score":0.71313065},"labels":[],"label_agreement":null},{"id":"W3175759450","doi":"10.1016/j.enpol.2021.112391","title":"The hedonic treadmill: Electricity access in India has increased, but so have expectations","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Mains electricity; Rural electrification; Business; Margin (machine learning); Quality (philosophy); Service (business); Quarter (Canadian coin); Demographic economics; Economic growth; Marketing; Economics; Engineering; Geography","score_opus":0.015199572890070106,"score_gpt":0.26019378201520665,"score_spread":0.24499420912513656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175759450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94415563,0.0003640784,0.00010494055,0.0025544995,0.000057386504,0.00004809053,0.000007548325,0.00003947891,0.05266832],"genre_scores_gemma":[0.99249053,0.0005616174,0.000054291933,0.0016355033,0.0001323061,0.000049777285,0.00002832897,0.0000208908,0.005026765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842894,0.00018619877,0.00022796335,0.00031656408,0.0002787063,0.0005616143],"domain_scores_gemma":[0.99912244,0.00019182371,0.0000752925,0.00041825368,0.0000036326069,0.00018856123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121910336,0.00017875015,0.00014141762,0.00008073765,0.0005485274,0.00020200887,0.0004077116,0.000097168646,0.00056879123],"category_scores_gemma":[0.00022138903,0.0001435391,0.00007102982,0.00067825126,0.0002914508,0.00031586894,0.00029526697,0.0001597079,0.00012126285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027089883,0.002485175,0.5007397,0.00001717001,0.00027664052,0.0008346557,0.0061696866,0.17657954,0.038252227,0.10413299,0.028322939,0.14191839],"study_design_scores_gemma":[0.00068844605,0.000049921156,0.85638374,0.000009755688,0.000013458262,0.000038302365,0.00029947408,0.0005953231,0.047906674,0.0055189263,0.08812031,0.0003756803],"about_ca_topic_score_codex":0.028110277,"about_ca_topic_score_gemma":0.017720092,"teacher_disagreement_score":0.35564405,"about_ca_system_score_codex":0.00046522738,"about_ca_system_score_gemma":0.00016044873,"threshold_uncertainty_score":0.9888227},"labels":[],"label_agreement":null},{"id":"W3176791928","doi":"10.1016/j.enpol.2021.112419","title":"Designing flexible regulations to mitigate climate change: A cross-country comparative policy analysis","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Victoria University","keywords":"Climate change; Environmental resource management; Economics; Natural resource economics; Ecology","score_opus":0.13956636699059685,"score_gpt":0.3466960015509049,"score_spread":0.20712963456030806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176791928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58855885,0.0034869006,0.013906537,0.034133047,0.00090078503,0.0005391809,0.007967372,0.00054223544,0.3499651],"genre_scores_gemma":[0.9822713,0.000728454,0.0017809308,0.007956107,0.0021798024,0.00019333986,0.00044336513,0.00005592618,0.0043907408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974727,0.000034461264,0.0008163464,0.000714321,0.00004924057,0.00091291504],"domain_scores_gemma":[0.9984313,0.00009508695,0.0003551017,0.0006850737,0.00008667237,0.00034675244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030854117,0.0003087418,0.0008161343,0.0017612493,0.0004207522,0.00036467917,0.00029024263,0.00016994686,0.0004954672],"category_scores_gemma":[0.00018022767,0.00041289872,0.00032293715,0.0037666531,0.00009553102,0.0004500368,0.0002622736,0.00012736148,0.0006661484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002031729,0.00007615614,0.019522693,0.000020103793,0.00038488035,0.0000068720283,0.0033745389,0.009262309,0.000109537024,0.9663291,0.0005641694,0.0003293011],"study_design_scores_gemma":[0.0026600738,0.00018629344,0.29599798,0.00012313784,0.00029600324,0.000054883993,0.00136547,0.03318654,0.0146645615,0.21309781,0.4350628,0.0033044459],"about_ca_topic_score_codex":0.014854747,"about_ca_topic_score_gemma":0.0033139272,"teacher_disagreement_score":0.7532313,"about_ca_system_score_codex":0.0004609396,"about_ca_system_score_gemma":0.00011087056,"threshold_uncertainty_score":0.9998323},"labels":[],"label_agreement":null},{"id":"W3178161278","doi":"10.1016/j.enpol.2021.112445","title":"Trade-offs between vehicle fuel economy and performance: Evidence from heterogeneous firms in China","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Economics; Business; Industrial organization; International trade; International economics","score_opus":0.015029931011110172,"score_gpt":0.23682191197445382,"score_spread":0.22179198096334365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178161278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878609,0.0020722277,0.000037375405,0.0015575546,0.000056868445,0.000028265345,0.000029022918,0.000056107343,0.008301651],"genre_scores_gemma":[0.9934491,0.0038023975,0.00011872358,0.0009287433,0.0005678412,0.00003097297,0.00012949573,0.00004160091,0.00093115855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985584,0.000083409934,0.00038676764,0.0004377981,0.00012259283,0.00041105365],"domain_scores_gemma":[0.99923354,0.00011574957,0.000089212175,0.00037753154,0.0000072926146,0.00017668476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000066603185,0.0002463988,0.0003104389,0.00014956485,0.00009707296,0.000052511816,0.00017329918,0.00014542165,0.0002104853],"category_scores_gemma":[0.000021714533,0.00026032468,0.00007979778,0.00025123433,0.000109960274,0.000318936,0.00004734948,0.0001392338,0.000019008625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010620116,0.0003230734,0.63897336,0.00021753102,0.00042550042,0.00031168343,0.010345138,0.11724369,0.00456276,0.09458271,0.00020556095,0.13270281],"study_design_scores_gemma":[0.0007510941,0.000064355765,0.9264262,0.000087958884,0.000031191415,0.000009904372,0.00006623452,0.0010203453,0.029827995,0.006112884,0.03521441,0.00038747015],"about_ca_topic_score_codex":0.028680269,"about_ca_topic_score_gemma":0.0064174486,"teacher_disagreement_score":0.28745282,"about_ca_system_score_codex":0.000094003866,"about_ca_system_score_gemma":0.00008074544,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W3180578074","doi":"10.1016/j.enpol.2021.112435","title":"Implementing a just renewable energy transition: Policy advice for transposing the new European rules for renewable energy communities","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":279,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Universität für Bodenkultur Wien; European Commission","keywords":"Renewable energy; Energy transition; Directive; Business; European union; Energy policy; Spatial planning; Environmental economics; Stakeholder; Economics; Natural resource economics; Environmental resource management; Environmental planning; Engineering; International trade; Management; Geography","score_opus":0.03391484476538173,"score_gpt":0.3171022029113204,"score_spread":0.28318735814593865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180578074","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021088647,0.0064607705,0.45612013,0.07379032,0.0015051295,0.0005410582,0.0005971892,0.0013562966,0.45752025],"genre_scores_gemma":[0.6652327,0.006757949,0.014338513,0.031121548,0.038780462,0.00081420207,0.0017165836,0.0005377366,0.24070026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947519,0.0011266298,0.00079724274,0.000604975,0.0006329618,0.0020863456],"domain_scores_gemma":[0.9968331,0.0010355498,0.0003754502,0.0007714495,0.00053067034,0.00045378148],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011652921,0.00053255423,0.00061539456,0.00037875256,0.005305682,0.00065799814,0.0012683704,0.00026132242,0.000258101],"category_scores_gemma":[0.00037966843,0.000532903,0.0006476876,0.0016562517,0.00046617232,0.0006480923,0.00016833303,0.00013134906,0.0000019152858],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012950665,0.00015174295,0.000010053847,0.000058594265,0.000309163,0.000010181318,0.027912704,0.036427867,0.002041739,0.74141705,0.097211905,0.09431951],"study_design_scores_gemma":[0.0012903464,0.000074687865,0.000009723565,0.00009305665,0.00011364758,0.0000076081133,0.049834047,0.00075704564,0.009612757,0.04429875,0.89333147,0.000576883],"about_ca_topic_score_codex":0.8943936,"about_ca_topic_score_gemma":0.85829264,"teacher_disagreement_score":0.7961195,"about_ca_system_score_codex":0.00056848454,"about_ca_system_score_gemma":0.0035799285,"threshold_uncertainty_score":0.9997122},"labels":[],"label_agreement":null},{"id":"W3198216410","doi":"10.1016/j.enpol.2021.112544","title":"Reconfiguring actors and infrastructure in city renewable energy transitions: A regional perspective","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Victoria","funders":"","keywords":"Renewable energy; Energy transition; Decentralization; Context (archaeology); Business; Economic geography; Natural resource economics; Economics; Economic system; Geography; Engineering; Market economy","score_opus":0.016993926246592003,"score_gpt":0.29225414264548194,"score_spread":0.2752602163988899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198216410","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3550762,0.0050219293,0.0013782876,0.031206094,0.00075033616,0.00011277001,0.000032629392,0.00033339494,0.6060884],"genre_scores_gemma":[0.98210293,0.002991208,0.0005429427,0.0016314383,0.0015861358,0.000035088575,0.000014998468,0.000025768899,0.01106946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816334,0.00030213452,0.00022097312,0.00045343456,0.00032963173,0.00053050736],"domain_scores_gemma":[0.99920386,0.00012667317,0.00008593799,0.00018640728,0.00018008209,0.00021705478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016470201,0.00018621587,0.0002705579,0.00027933324,0.0004789511,0.00011211422,0.00019510761,0.00025630396,0.00046336002],"category_scores_gemma":[0.00040808765,0.00021771573,0.00009623225,0.0012833772,0.00033242235,0.00037194972,0.00004790758,0.00013573436,6.640063e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023618359,0.00006193134,0.0010315073,0.000004398343,0.000047597194,0.00004721433,0.016603112,0.0027641854,0.0009294884,0.9506339,0.003109888,0.024743164],"study_design_scores_gemma":[0.001017321,0.000034770983,0.0083964905,0.000097129756,0.00001988729,0.000023473409,0.11417691,0.00008874719,0.0048793117,0.4272466,0.44333613,0.0006832178],"about_ca_topic_score_codex":0.48882923,"about_ca_topic_score_gemma":0.61792374,"teacher_disagreement_score":0.6270268,"about_ca_system_score_codex":0.0007886126,"about_ca_system_score_gemma":0.0013860917,"threshold_uncertainty_score":0.887819},"labels":[],"label_agreement":null},{"id":"W3207418075","doi":"10.1016/j.enpol.2021.112553","title":"Assessing the food vs. fuel issue: An agent-based simulation","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Alberta Pork (Canada)","funders":"","keywords":"Agriculture; Agricultural economics; Profit (economics); Biofuel; Production (economics); Renewable energy; Food security; Natural resource economics; Crop; Odds; Business; Energy security; Food processing; Food industry; Economics; Agricultural science; Environmental science; Waste management; Engineering; Agronomy; Geography; Microeconomics; Mathematics","score_opus":0.02523096901612563,"score_gpt":0.2866503983512107,"score_spread":0.26141942933508505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207418075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81558657,0.0037663162,0.065721065,0.034418806,0.007573746,0.0003411067,0.000032471784,0.0025634875,0.06999643],"genre_scores_gemma":[0.9963827,0.000024447096,0.00021397496,0.0015008167,0.00092041533,0.000002294755,0.00004067893,0.000018861527,0.0008958004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994821,0.0000475761,0.00009443703,0.00013290806,0.00010280785,0.00014017848],"domain_scores_gemma":[0.9996297,0.000021072974,0.00001731639,0.0002542625,0.00003284461,0.00004480694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056011646,0.000086351494,0.000065619904,0.000058888745,0.00006904944,0.00009673694,0.00007208763,0.00006651913,0.00016898481],"category_scores_gemma":[0.000020016096,0.00007026736,0.000040875824,0.00025936923,0.00001631805,0.000180651,0.00001548246,0.0000724355,0.000038552014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048094107,0.00004739401,0.00012413216,0.00011365174,0.00003410797,0.0000033687384,0.00021928527,0.9453961,0.015682204,0.0020345545,0.0024530857,0.03388728],"study_design_scores_gemma":[0.00023260247,0.000025483443,0.0013097379,0.000008160627,0.000008121797,0.0000022403408,0.00012877386,0.32794282,0.04898953,0.00013185655,0.6210893,0.00013137211],"about_ca_topic_score_codex":0.00005727032,"about_ca_topic_score_gemma":0.000010661438,"teacher_disagreement_score":0.6186362,"about_ca_system_score_codex":0.000052556174,"about_ca_system_score_gemma":0.000050846713,"threshold_uncertainty_score":0.28654197},"labels":[],"label_agreement":null},{"id":"W4206919702","doi":"10.1016/j.enpol.2022.112777","title":"Great expectations: Public opinion about energy transition","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Alberta; University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Public opinion; Energy transition; Climate change; Energy policy; Context (archaeology); Fossil fuel; Political science; Population; Politics; Economics; Natural resource economics; Business; Political economy; Economic growth; Sociology; Geography; Engineering; Renewable energy; Law","score_opus":0.32648372790120783,"score_gpt":0.43377407174051696,"score_spread":0.10729034383930913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206919702","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013483386,0.0031150645,0.0035836247,0.27113742,0.0015391799,0.00020407542,0.00016216343,0.00086258736,0.70591253],"genre_scores_gemma":[0.9827935,0.0064927316,0.000056272787,0.004985444,0.001024864,0.0002732081,0.0005917438,0.000016317925,0.0037658948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851686,0.0006095232,0.00015770421,0.00015509024,0.00031326138,0.00024756943],"domain_scores_gemma":[0.9994511,0.0000631963,0.00006860082,0.00024899835,0.000057828325,0.000110276065],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002104816,0.00007950202,0.00008387422,0.0002976324,0.0017591997,0.00008295534,0.00029985388,0.00005020698,0.0042478293],"category_scores_gemma":[0.000053454733,0.000095576754,0.00007393741,0.0007394501,0.00010459176,0.00022968014,0.00006984425,0.00007804259,0.00002015802],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075142075,0.00007186689,0.000018110773,0.000001679253,0.0000069206544,3.8657942e-7,0.041111484,0.0000724649,0.00012686197,0.8867462,0.008732602,0.06310389],"study_design_scores_gemma":[0.00016597002,0.000024517,0.0001757166,0.000003106044,0.0000021751273,0.0000019353101,0.014885244,0.00020063415,0.000012958072,0.0047884253,0.97962683,0.000112466514],"about_ca_topic_score_codex":0.03741531,"about_ca_topic_score_gemma":0.009811492,"teacher_disagreement_score":0.9708943,"about_ca_system_score_codex":0.00041199228,"about_ca_system_score_gemma":0.0001985861,"threshold_uncertainty_score":0.9995404},"labels":[],"label_agreement":null},{"id":"W4210297381","doi":"10.1016/j.enpol.2022.112805","title":"Are carbon pricing policies on a path to failure in resource-dependent economies? A willingness-to-pay case study of Canada","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Revenue; Economics; Public economics; Odds; Business; Agricultural economics; Logistic regression; Microeconomics; Finance","score_opus":0.036941380841768096,"score_gpt":0.21290983868930854,"score_spread":0.17596845784754045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210297381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942758,0.00002770335,0.000010441402,0.0019542894,0.00010915898,0.00023679764,0.0001218593,0.000009680682,0.0032542557],"genre_scores_gemma":[0.9964056,0.0000028887641,0.000015725002,0.002142708,0.00011441655,0.00017558387,0.0000049792898,0.000032324362,0.0011057978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985511,0.00004765748,0.0005993983,0.00041579397,0.000060468243,0.00032560332],"domain_scores_gemma":[0.9990977,0.000037975504,0.0003771548,0.00035613385,0.0000042191123,0.00012683337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033423526,0.00016519646,0.00038567808,0.00049372966,0.00014809528,0.00001799155,0.0002022554,0.000032496362,0.000075049444],"category_scores_gemma":[0.00005447961,0.00019585279,0.000038194736,0.00032210792,0.000009024054,0.000042246895,0.00022434437,0.00013314332,0.000005632887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033748962,0.0003054072,0.49162534,0.000009370221,0.000038662984,0.00014357711,0.0077226027,0.48969492,0.000008492103,0.009369705,0.0007654723,0.0002826814],"study_design_scores_gemma":[0.003665856,0.0017431062,0.79799306,0.000045588167,0.000016725653,0.00016114314,0.11825389,0.007472669,0.00025400645,0.0017452943,0.067223914,0.0014247228],"about_ca_topic_score_codex":0.88157684,"about_ca_topic_score_gemma":0.7219835,"teacher_disagreement_score":0.48222226,"about_ca_system_score_codex":0.0019645367,"about_ca_system_score_gemma":0.000091271475,"threshold_uncertainty_score":0.7986645},"labels":[],"label_agreement":null},{"id":"W4221084510","doi":"10.1016/j.enpol.2022.112879","title":"Assessing energy transition costs: Sub-national challenges in Canada","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal","funders":"","keywords":"Renewable energy; Energy transition; Fossil fuel; Electricity; Natural resource economics; Energy policy; Activity-based costing; Government (linguistics); Environmental economics; Economics; Business; Engineering; Waste management","score_opus":0.12582929818958255,"score_gpt":0.25553048784967897,"score_spread":0.12970118966009642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221084510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5209701,0.01238407,0.0005622524,0.06581323,0.001474047,0.00012001065,0.0023359258,0.00008990323,0.39625046],"genre_scores_gemma":[0.99112076,0.0025059008,0.000021174794,0.0055261864,0.00042919442,0.00009201233,0.00015121463,0.000027338252,0.00012624254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987903,0.00003301155,0.0004395537,0.00032010805,0.00005590732,0.00036110316],"domain_scores_gemma":[0.9995209,0.00006257832,0.00017762727,0.00015178128,0.000010535908,0.00007658206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002762188,0.0001324603,0.00025681572,0.0004817384,0.00016785372,0.000043816635,0.00018222962,0.00004110294,0.00038864606],"category_scores_gemma":[0.000029531488,0.00019778858,0.000057039142,0.00027650726,0.000017209404,0.00025599514,0.00007146546,0.000114700946,0.000007964536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074587438,0.000047444755,0.00040275312,0.0000066885273,0.000015515388,0.000006824544,0.00034367398,0.00604549,0.000010480867,0.98670554,0.001158988,0.0052491594],"study_design_scores_gemma":[0.0014241902,0.000056427645,0.013042313,0.000016201466,0.0000034404654,0.000049636266,0.0026794178,0.029100077,0.000285913,0.19276452,0.7596719,0.0009059492],"about_ca_topic_score_codex":0.9588394,"about_ca_topic_score_gemma":0.92199314,"teacher_disagreement_score":0.793941,"about_ca_system_score_codex":0.004683347,"about_ca_system_score_gemma":0.00050880294,"threshold_uncertainty_score":0.9991375},"labels":[],"label_agreement":null},{"id":"W4280517757","doi":"10.1016/j.enpol.2022.112950","title":"“Carbon Bombs” - Mapping key fossil fuel projects","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fossil fuel; Climate change; Climate change mitigation; Greenhouse gas; Closing (real estate); Carbon fibers; Natural resource economics; Environmental science; Business; Engineering; Waste management; Economics; Computer science; Ecology; Finance","score_opus":0.0880392850439821,"score_gpt":0.2347111419443602,"score_spread":0.1466718569003781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280517757","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31956705,0.0039941906,0.00014539417,0.008899185,0.001256203,0.00017582744,0.00059886806,0.00020247427,0.6651608],"genre_scores_gemma":[0.98525655,0.00050493656,0.00013876178,0.0033496008,0.0011797661,0.00021082815,0.0000513551,0.000060533523,0.009247665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983008,0.000024711537,0.0005432601,0.00048028308,0.000038992846,0.0006119339],"domain_scores_gemma":[0.99904186,0.00003720541,0.0003236528,0.0004623391,0.000008930465,0.00012599313],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034986404,0.00020645384,0.00038187118,0.0007335234,0.00029400326,0.00007443966,0.0003832794,0.00007536248,0.0006733318],"category_scores_gemma":[0.000077167424,0.00028581938,0.00015095586,0.0005464861,0.000046710247,0.00013098407,0.0003863827,0.00019425052,0.00010967179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000150060305,0.00009863684,0.004461956,0.000029730967,0.00005202502,0.000007700916,0.0035663794,0.0003893825,0.000026620211,0.9870714,0.0032384885,0.0010426645],"study_design_scores_gemma":[0.0005994287,0.000073886215,0.0018962949,0.00000461645,0.000002835076,0.000023324963,0.0005024468,0.00490175,0.0000652442,0.11112406,0.88035136,0.0004547626],"about_ca_topic_score_codex":0.015562276,"about_ca_topic_score_gemma":0.0002400278,"teacher_disagreement_score":0.87711287,"about_ca_system_score_codex":0.0005245079,"about_ca_system_score_gemma":0.0000705632,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W4282940057","doi":"10.1016/j.enpol.2022.113019","title":"Political governance, socioeconomics, and weather influence provincial GHG emissions in Canada","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Per capita; Socioeconomic status; Corporate governance; Natural resource economics; Climate change; Investment (military); Politics; Economics; Agricultural economics; Environmental science; Geography; Political science; Finance; Demography; Ecology; Sociology","score_opus":0.008733702447335715,"score_gpt":0.24566229890954724,"score_spread":0.23692859646221154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282940057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393409,0.000026774567,0.0000039669144,0.030061953,0.000047089805,0.000050044684,0.00007365786,0.0000091106,0.030386534],"genre_scores_gemma":[0.96720505,0.000011869101,0.00005328809,0.031118402,0.000077181045,0.00002059852,0.0000021894152,0.000007972893,0.0015034673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998981,0.00007096937,0.00016888283,0.00017656437,0.00015668847,0.00044587356],"domain_scores_gemma":[0.9995034,0.000045187444,0.000048886493,0.00011607263,0.0000011516087,0.00028535703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011586437,0.00007598696,0.000102967315,0.000017338967,0.00021619731,0.000007337037,0.00013778031,0.000024942707,0.0009857652],"category_scores_gemma":[0.00006511932,0.00008232805,0.000012122921,0.000101804806,0.00008785715,0.00008881041,0.0002839567,0.00014802351,0.0000081423095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030599684,0.000074159645,0.20311795,0.000010553708,0.0000043498057,0.000022863684,0.0009139446,0.004996548,0.00007444803,0.745105,0.033225935,0.012423605],"study_design_scores_gemma":[0.00029829933,0.00004087435,0.5173131,0.0000036152335,0.0000014302085,0.0000110333685,0.00032857707,0.0009264894,0.000054920758,0.010564096,0.47028092,0.00017659951],"about_ca_topic_score_codex":0.99432445,"about_ca_topic_score_gemma":0.95670617,"teacher_disagreement_score":0.73454094,"about_ca_system_score_codex":0.003398326,"about_ca_system_score_gemma":0.0013330623,"threshold_uncertainty_score":0.99992746},"labels":[],"label_agreement":null},{"id":"W4283755217","doi":"10.1016/j.enpol.2022.113147","title":"Developing future retail electricity markets with a customer-centric focus","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Department for the Economy; Department for Employment and Learning, Northern Ireland","keywords":"Flexibility (engineering); Smart grid; Electricity; Renewable energy; Electricity retailing; Software deployment; Business; Energy transition; Environmental economics; Industrial organization; Grid; Electricity market; Marketing; Commerce; Telecommunications; Computer science; Engineering; Economics","score_opus":0.006295231934250671,"score_gpt":0.18893892068026732,"score_spread":0.18264368874601666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283755217","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2516828,0.0073634726,0.109598584,0.016105082,0.005342128,0.0010056655,0.00006294593,0.007086521,0.6017528],"genre_scores_gemma":[0.9934121,0.00033776351,0.0010114947,0.0007278587,0.0013314022,0.00026550738,0.000024252526,0.00010588407,0.0027837611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841493,0.00007547742,0.00020509874,0.00028018767,0.0003984937,0.00062580727],"domain_scores_gemma":[0.9994321,0.000027088994,0.000044916826,0.0003636374,0.000024118573,0.00010817118],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013130829,0.0002612036,0.00020923016,0.0005990758,0.0002495213,0.00003530711,0.00035913565,0.00004839391,0.00025693368],"category_scores_gemma":[0.000010698243,0.00026133837,0.00005881312,0.0021858637,0.00001726273,0.00009756256,0.00019979257,0.0002458734,0.000019241657],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000852039,0.000059370363,0.00051398866,0.000051342544,0.0003758769,0.00018566842,0.00023739094,0.57109314,0.0001540749,0.29442188,0.043559372,0.0892627],"study_design_scores_gemma":[0.00051878946,0.0000404759,0.0025636232,0.0000057058473,0.000021544785,0.0000485853,0.00006148946,0.0106052505,0.0012464667,0.00026779124,0.98418874,0.00043155198],"about_ca_topic_score_codex":0.00044388312,"about_ca_topic_score_gemma":0.00010783951,"teacher_disagreement_score":0.94062936,"about_ca_system_score_codex":0.001014373,"about_ca_system_score_gemma":0.00013030272,"threshold_uncertainty_score":0.9999839},"labels":[],"label_agreement":null},{"id":"W4310724846","doi":"10.1016/j.enpol.2022.113368","title":"What policies do homeowners prefer for building decarbonization and why? An exploration of climate policy support in Canada","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Subsidy; Public support; Business; Greenhouse gas; Public policy; Climate policy; Climate change; Public economics; Economic growth; Economics","score_opus":0.013542244785044764,"score_gpt":0.27274776100169146,"score_spread":0.25920551621664667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310724846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955001,0.000029101877,0.0001414049,0.0032856886,0.00008609414,0.00016555612,0.000024338278,0.000008899381,0.0007588388],"genre_scores_gemma":[0.9974033,0.00031488217,0.00018465363,0.00164003,0.00004539324,0.00014093466,0.000056302553,0.000015011874,0.0001994861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893755,0.000092586175,0.00023245813,0.00024086377,0.00021879183,0.00027776608],"domain_scores_gemma":[0.9995812,0.000029191398,0.00009216063,0.00019033492,0.0000056069825,0.000101513164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019678107,0.00010299098,0.000118772106,0.00013794994,0.00015568205,0.000032239885,0.00012651911,0.000022484455,0.00022257137],"category_scores_gemma":[0.00004797095,0.0001107644,0.00001917987,0.0004096853,0.00008184232,0.0010493929,0.00018679586,0.00004721987,2.2526193e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018225783,0.00062660343,0.40089574,0.00010223629,0.000021495,0.0000033767215,0.03390983,0.27378643,0.006351469,0.12283177,0.0011606853,0.16012812],"study_design_scores_gemma":[0.0023603628,0.00073927775,0.6039715,0.000022122329,0.000028137943,0.000017910577,0.107858345,0.010070121,0.009223445,0.03517919,0.22932462,0.0012050099],"about_ca_topic_score_codex":0.8591776,"about_ca_topic_score_gemma":0.48286426,"teacher_disagreement_score":0.3763133,"about_ca_system_score_codex":0.0023337333,"about_ca_system_score_gemma":0.00036330117,"threshold_uncertainty_score":0.61026317},"labels":[],"label_agreement":null},{"id":"W4320517131","doi":"10.1016/j.enpol.2023.113484","title":"Institutions for effective climate policymaking: Lessons from the case of the United Kingdom","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Vetenskapsrådet","keywords":"Legislation; Climate change; Consolidation (business); Politics; Political science; Political economy of climate change; Counterfactual thinking; Business as usual; Economics; Climate policy; Economic policy; Political economy; Business; Economic system; Finance","score_opus":0.23484160975281038,"score_gpt":0.3605056257647659,"score_spread":0.12566401601195554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320517131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95351166,0.00011955283,0.00047102565,0.02574049,0.0007125547,0.00036218975,0.009040712,0.0000930182,0.009948805],"genre_scores_gemma":[0.9959592,0.00021864945,0.000038478956,0.0023797187,0.00084724487,0.0001961258,0.00014505394,0.00003294537,0.00018255587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987753,0.00003393395,0.0004417368,0.00027897122,0.000015982432,0.00045407188],"domain_scores_gemma":[0.998376,0.00061304,0.00035410948,0.0005693349,0.000026346379,0.00006115726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035193792,0.00016270122,0.0002957352,0.00037616937,0.0005795102,0.000054269694,0.0003870078,0.00011206185,0.000029451472],"category_scores_gemma":[0.00053176266,0.00012859184,0.0002429897,0.0011313836,0.00019887989,0.000091221424,0.00025549467,0.00010737839,0.00007643596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001137068,0.000022546217,0.0013280292,0.000011961208,0.00006538721,0.0000033152805,0.0010248271,0.0015304851,0.000016377991,0.99395376,0.0015570614,0.00047484785],"study_design_scores_gemma":[0.0013688592,0.00005305142,0.020916661,0.00005857392,0.000041309704,0.00005437765,0.0005693714,0.015812354,0.00070382265,0.28607044,0.6739075,0.00044366752],"about_ca_topic_score_codex":0.111364506,"about_ca_topic_score_gemma":0.008142569,"teacher_disagreement_score":0.70788336,"about_ca_system_score_codex":0.0001500362,"about_ca_system_score_gemma":0.00005420312,"threshold_uncertainty_score":0.894553},"labels":[],"label_agreement":null},{"id":"W4376870042","doi":"10.1016/j.enpol.2023.113616","title":"Navigating the razor's edge: Public acceptance of climate policies and the case of transport pricing","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Dominance (genetics); Politics; Greenhouse gas; Public policy; Transformative learning; Public economics; Political science; Position (finance); Business; Economics; Public relations; Public administration; Sociology; Economic growth; Finance; Law; Ecology","score_opus":0.02467773177032827,"score_gpt":0.33661846854102395,"score_spread":0.31194073677069567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376870042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807075,0.0002705529,0.000021440599,0.009880054,0.000067899564,0.000098134806,0.000021134081,0.00005276581,0.008880472],"genre_scores_gemma":[0.99868,0.0006184403,0.000016232712,0.00020144905,0.00027904438,0.0000141698765,0.0000040407917,0.000009138426,0.00017749716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99881846,0.00015237204,0.00033687137,0.00014724986,0.00018929226,0.00035577628],"domain_scores_gemma":[0.99910176,0.00032632635,0.00019835542,0.00024243974,0.00007193044,0.000059171412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012461942,0.00009349301,0.00021035389,0.000045513578,0.0006413587,0.000032987868,0.0003261506,0.000055655495,0.000021341282],"category_scores_gemma":[0.00016881124,0.000054517797,0.00009782361,0.0012553778,0.0013592738,0.00020009882,0.000039318118,0.00013549763,5.6486044e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035496752,0.000037264712,0.13761997,0.00008127835,0.000048043705,0.000027349077,0.09333505,0.000066421424,0.00022895173,0.7013843,0.00006250611,0.067073345],"study_design_scores_gemma":[0.0035103546,0.00008220169,0.8005849,0.00033317824,0.00021877371,0.000033457647,0.10955451,0.0010399999,0.0062769926,0.05526824,0.022270594,0.00082678354],"about_ca_topic_score_codex":0.114726916,"about_ca_topic_score_gemma":0.030398512,"teacher_disagreement_score":0.66296494,"about_ca_system_score_codex":0.000019352521,"about_ca_system_score_gemma":0.00016157284,"threshold_uncertainty_score":0.9872942},"labels":[],"label_agreement":null},{"id":"W4379742332","doi":"10.1016/j.enpol.2023.113647","title":"Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Politics; Electricity; Electricity market; Economics; Market failure; Public economics; Industrial organization; Market economy; Microeconomics; Political science; Law; Engineering","score_opus":0.026623619119309067,"score_gpt":0.2581394586327687,"score_spread":0.23151583951345964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379742332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1591797,0.0008012183,0.5593333,0.012654532,0.0025684019,0.001434574,0.00015055775,0.0087039415,0.25517377],"genre_scores_gemma":[0.99195987,0.00007951409,0.00013570761,0.00012504139,0.00056429184,0.000052749525,0.000012185391,0.0000668576,0.0070038065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998629,0.00008345112,0.00022842585,0.00020783981,0.00024529538,0.00060602825],"domain_scores_gemma":[0.99913156,0.00032888103,0.00004883637,0.00032192367,0.00003347295,0.00013533182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023837209,0.00019299974,0.00017339458,0.0007159197,0.00033584255,0.00010658439,0.0002511772,0.00009833658,0.000047297613],"category_scores_gemma":[0.0001691318,0.00015560442,0.00005788715,0.0020310483,0.00002615637,0.00019638511,0.000052688407,0.00014546055,0.000017902468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028707731,0.000031919048,0.00037033684,0.00013104266,0.00041242872,0.000027179492,0.005276341,0.59764713,0.0025596574,0.2270237,0.1650423,0.0014492836],"study_design_scores_gemma":[0.0018617501,0.00027546685,0.028598042,0.00053357397,0.00021429002,0.00022160956,0.0071179927,0.6198989,0.02550141,0.009110182,0.30367613,0.0029906635],"about_ca_topic_score_codex":0.00036242278,"about_ca_topic_score_gemma":0.00043818445,"teacher_disagreement_score":0.8327801,"about_ca_system_score_codex":0.00074380153,"about_ca_system_score_gemma":0.00012017465,"threshold_uncertainty_score":0.6345364},"labels":[],"label_agreement":null},{"id":"W4384436162","doi":"10.1016/j.enpol.2023.113706","title":"Dynamics of social acceptance of renewable energy: An introduction to the concept","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Bundesamt für Energie; European Commission; Queen's University; Queen's University Belfast; Universität St. Gallen","keywords":"Renewable energy; CLARITY; Software deployment; Environmental economics; Social dynamics; Wind power; Social acceptance; Energy policy; Environmental resource management; Business; Management science; Economics; Engineering; Sociology; Social science; Psychology","score_opus":0.014574303811767221,"score_gpt":0.3092661445304589,"score_spread":0.2946918407186917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384436162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38346112,0.00049091637,0.015195807,0.37036958,0.007946616,0.00068338495,0.00039001505,0.0016829405,0.2197796],"genre_scores_gemma":[0.96365774,0.00014915723,0.00020202342,0.0004956569,0.008925955,0.000046278266,0.00006584239,0.000037007507,0.026420355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977048,0.00036502923,0.00037959,0.0003432502,0.0006471106,0.0005602308],"domain_scores_gemma":[0.9987961,0.00011002773,0.0002883235,0.00039529335,0.00026609833,0.00014417432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473743,0.00016699686,0.00033176484,0.0002986252,0.0006227179,0.000042860804,0.0008518991,0.0001851375,0.0002456598],"category_scores_gemma":[0.0004972969,0.00015479681,0.0001408596,0.003462484,0.0005768045,0.0003032957,0.00013746368,0.000069641144,0.0000049837913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021659635,0.000037991205,0.00005491395,0.0000027317353,0.000028039276,5.5572684e-7,0.00888746,0.021151308,0.00068566535,0.869605,0.041973684,0.05755101],"study_design_scores_gemma":[0.00041717087,0.00016305428,0.0018684346,0.000012189703,0.000032946573,6.554586e-7,0.058273528,0.0010211131,0.015402266,0.048004407,0.87433904,0.00046519033],"about_ca_topic_score_codex":0.261196,"about_ca_topic_score_gemma":0.36463252,"teacher_disagreement_score":0.83236533,"about_ca_system_score_codex":0.00032817546,"about_ca_system_score_gemma":0.00055507576,"threshold_uncertainty_score":0.74372375},"labels":[],"label_agreement":null},{"id":"W4385522813","doi":"10.1016/j.enpol.2023.113704","title":"Does the increased electricity consumption (provided by capacity expansion and/or reliability improvement) cause economic growth?","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alterra Power (Canada)","funders":"","keywords":"Electricity; Microgrid; Nexus (standard); Consumption (sociology); Reliability (semiconductor); Economics; Environmental economics; Granger causality; Dependability; Natural resource economics; Industrial organization; Econometrics; Engineering; Reliability engineering","score_opus":0.01101528674623571,"score_gpt":0.22658301120504032,"score_spread":0.21556772445880462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385522813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970304,0.000008986833,0.000043475033,0.0019817322,0.000087096574,0.00012035222,0.00003535448,0.00012366594,0.00056894205],"genre_scores_gemma":[0.99511164,0.00088660646,0.000027440428,0.0014824901,0.00010806792,0.000061177096,0.000034694407,0.000020078685,0.0022678066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99850947,0.00015075442,0.00024155468,0.00043168396,0.00019502414,0.00047149658],"domain_scores_gemma":[0.9990911,0.00020248482,0.00010249349,0.00040477669,0.000002359819,0.00019677724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039253023,0.00021250675,0.00015870607,0.000055471017,0.00034973933,0.000043941956,0.00021953128,0.00011276518,0.0005589078],"category_scores_gemma":[0.00017398229,0.00011447568,0.000049059207,0.0002176254,0.00029269012,0.00030972803,0.00023965561,0.00012734269,0.00021738908],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008110783,0.0006666096,0.32064664,0.00009772943,0.00019938115,0.000024869949,0.001811004,0.015289387,0.5009891,0.011775271,0.10464113,0.043047845],"study_design_scores_gemma":[0.0018817525,0.00046992413,0.67946047,0.000018252775,0.000073244504,0.000015072895,0.000084639134,0.0059021483,0.25905138,0.011384932,0.040716875,0.00094133086],"about_ca_topic_score_codex":0.051190473,"about_ca_topic_score_gemma":0.0027285635,"teacher_disagreement_score":0.35881382,"about_ca_system_score_codex":0.00051337824,"about_ca_system_score_gemma":0.000029117802,"threshold_uncertainty_score":0.9551277},"labels":[],"label_agreement":null},{"id":"W4385753198","doi":"10.1016/j.enpol.2023.113765","title":"Effects of government policy, socioeconomics, and weather on residential GHG emissions across subnational jurisdictions: The case of Canada","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Government (linguistics); Geography; Business; Natural resource economics; Consumption (sociology); Economics","score_opus":0.0032430552386223804,"score_gpt":0.24225827727677382,"score_spread":0.23901522203815145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385753198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324745,0.000015212459,0.000005353984,0.0035960216,0.00004079014,0.000080824764,0.00011119786,0.000007031453,0.0028961378],"genre_scores_gemma":[0.99437845,0.000056541478,0.000008377041,0.00040164927,0.000078990335,0.000015955453,0.0000029282223,0.000009554905,0.0050475528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991733,0.00006308668,0.00017379006,0.00014954245,0.0002042254,0.00023607118],"domain_scores_gemma":[0.9994247,0.00020594064,0.0000836939,0.00018285768,0.0000023547452,0.0001004502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650471,0.000094714254,0.000104340244,0.000019850188,0.0002374465,0.000008368997,0.00010780876,0.0000419601,0.000114232906],"category_scores_gemma":[0.00014496449,0.000072997864,0.000043211814,0.00015536656,0.0003195539,0.00005871712,0.00021591024,0.000056944013,0.000003399769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058109453,0.0020205844,0.27590382,0.00043952197,0.00073061365,0.0009332701,0.045229744,0.09647125,0.055420164,0.2548079,0.19222389,0.07523818],"study_design_scores_gemma":[0.000742601,0.00013339763,0.9328031,0.000014353225,0.000019532037,0.00005149949,0.002508428,0.000980488,0.03725884,0.007160996,0.018099286,0.00022745931],"about_ca_topic_score_codex":0.74289393,"about_ca_topic_score_gemma":0.2700205,"teacher_disagreement_score":0.65689933,"about_ca_system_score_codex":0.0009605755,"about_ca_system_score_gemma":0.00011352286,"threshold_uncertainty_score":0.7432997},"labels":[],"label_agreement":null},{"id":"W4386364811","doi":"10.1016/j.enpol.2023.113792","title":"Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Panel data; Emission intensity; Intensity (physics); Carbon fibers; Energy intensity; China; Low-carbon economy; Economics; Economy; Greenhouse gas; Natural resource economics; Economic system; Econometrics; Engineering; Efficient energy use; Geography; Mathematics; Physics; Electrical engineering","score_opus":0.010047239102978032,"score_gpt":0.20681746091116038,"score_spread":0.19677022180818235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386364811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833273,0.00008413187,0.005895717,0.00037992807,0.000037309266,0.00017165535,0.000039292237,0.000018976689,0.010045674],"genre_scores_gemma":[0.9991539,0.00020386785,0.000016171598,0.00026872088,0.00011308006,0.000071981645,0.000033731463,0.000028824614,0.000109726665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892175,0.000019494208,0.0005193956,0.00032132672,0.000029386572,0.00018867236],"domain_scores_gemma":[0.99913543,0.00018370771,0.00031210735,0.00030026172,0.000006608606,0.000061858984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040165547,0.00016661543,0.00045649993,0.00035954503,0.000034072327,0.000013335568,0.0001545964,0.00010628544,0.0000024784777],"category_scores_gemma":[0.000093273324,0.00015170235,0.00009430553,0.000202569,0.00018077169,0.00011001582,0.00007062361,0.00009619242,0.000004243399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008566619,0.00023325179,0.01657261,0.00016923361,0.00009457332,0.0000013045775,0.0041784598,0.26286072,0.00062841276,0.711852,0.000017414039,0.002535333],"study_design_scores_gemma":[0.0017746834,0.000054062228,0.020114202,0.000020923826,0.000005405022,4.3092814e-7,0.0000671346,0.75965,0.0010962246,0.21702218,0.00004529616,0.00014946461],"about_ca_topic_score_codex":0.002535554,"about_ca_topic_score_gemma":0.000041143066,"teacher_disagreement_score":0.49678928,"about_ca_system_score_codex":0.00008192696,"about_ca_system_score_gemma":0.00002361479,"threshold_uncertainty_score":0.6186242},"labels":[],"label_agreement":null},{"id":"W4388471843","doi":"10.1016/j.enpol.2023.113856","title":"Europe's energy security: From Russian dependence to renewable reliance","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply and demand; Renewable energy; Energy demand; Natural gas; Energy security; Quarter (Canadian coin); Natural resource economics; Economics; Software deployment; Business; Engineering; Geography; Microeconomics","score_opus":0.006219949986551267,"score_gpt":0.20830750824604982,"score_spread":0.20208755825949856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388471843","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0354645,0.0012298982,0.16050328,0.0042857523,0.005368576,0.000226052,0.00033251906,0.012122684,0.78046674],"genre_scores_gemma":[0.9735642,0.00073004246,0.0010411292,0.0008411939,0.0013511346,0.00009239517,0.00022027739,0.00018118872,0.021978414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983382,0.000066413086,0.00033823046,0.00038967622,0.00027083652,0.00059664546],"domain_scores_gemma":[0.99900734,0.000045922632,0.000043023214,0.000590635,0.00006510906,0.00024794438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008879919,0.0002938104,0.00025503844,0.00054681953,0.00010047783,0.00009033892,0.00041227438,0.00018335412,0.000066739594],"category_scores_gemma":[0.00009430499,0.0003102602,0.00005789953,0.00271864,0.00002031945,0.00020970593,0.00009329365,0.0001126508,0.00043351465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058572155,0.000006066305,0.000013717853,0.000007111265,0.000037055786,0.000038911832,0.00025200783,0.898693,0.005812715,0.058643058,0.034970365,0.0015200867],"study_design_scores_gemma":[0.00020894587,0.000027650623,0.00011022075,0.00011614837,0.0000089595005,0.000008044013,0.000043253443,0.25290218,0.05598581,0.0028517323,0.68721616,0.0005209268],"about_ca_topic_score_codex":0.06590385,"about_ca_topic_score_gemma":0.0058641504,"teacher_disagreement_score":0.93809974,"about_ca_system_score_codex":0.00018837578,"about_ca_system_score_gemma":0.00008814668,"threshold_uncertainty_score":0.999935},"labels":[],"label_agreement":null},{"id":"W4388842232","doi":"10.1016/j.enpol.2023.113884","title":"Solar analysis for an urban context from GIS to block-scale evaluations","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Renewable energy; Context (archaeology); Solar Resource; Environmental economics; Scale (ratio); Solar energy; Electricity; Zero-energy building; Environmental science; Civil engineering; Architectural engineering; Environmental resource management; Engineering; Geography; Cartography; Economics","score_opus":0.04075059912342033,"score_gpt":0.3287443386223577,"score_spread":0.28799373949893736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388842232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12078621,0.00005979934,0.8697477,0.0064311256,0.00041508325,0.00022332955,0.00026984772,0.0006231297,0.0014437812],"genre_scores_gemma":[0.9832079,0.000007878803,0.007828045,0.0051281317,0.0005513946,0.00012177454,0.00020104351,0.000015152452,0.0029387171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988706,0.000086475324,0.00018848287,0.0003566295,0.00022828873,0.0002695344],"domain_scores_gemma":[0.9987654,0.00016449003,0.00005375174,0.0006621491,0.000108503686,0.0002457106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022724077,0.00010895847,0.00016864747,0.0006317381,0.00020549011,0.00015745181,0.0005728741,0.00006104831,0.000029216988],"category_scores_gemma":[0.00013246898,0.0001142792,0.00014580868,0.0029358256,0.000013882175,0.0002070656,0.00009237975,0.000040015675,0.00010811383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042029777,0.00042107332,0.019807946,0.000009471382,0.0017153954,0.00000673412,0.041111097,0.11619796,0.025120769,0.37432688,0.24240722,0.17883344],"study_design_scores_gemma":[0.00036576332,0.00010188301,0.029749064,0.0000025839672,0.00008006461,4.069023e-7,0.00008954001,0.6857112,0.0067690834,0.006957722,0.26992247,0.00025021026],"about_ca_topic_score_codex":0.007992316,"about_ca_topic_score_gemma":0.004772901,"teacher_disagreement_score":0.86242163,"about_ca_system_score_codex":0.000058806076,"about_ca_system_score_gemma":0.00015363579,"threshold_uncertainty_score":0.99861354},"labels":[],"label_agreement":null},{"id":"W4389034374","doi":"10.1016/j.enpol.2023.113908","title":"Moving Beyond Clean Cooking Energy adoption: Using Indian ACCESS panel data to understand solid fuel suspension","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Fogarty International Center; National Institutes of Health","keywords":"Liquefied petroleum gas; Subsidy; Solid fuel; Business; Consumption (sociology); Index (typography); Fossil fuel; Panel data; Agricultural economics; Economics; Waste management; Engineering","score_opus":0.1130295274395591,"score_gpt":0.3266835565357581,"score_spread":0.213654029096199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389034374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97337705,0.000042156305,0.003990454,0.0017062271,0.00035630385,0.00008078552,0.000046939942,0.00025355993,0.02014654],"genre_scores_gemma":[0.99271935,0.00031703745,0.00030146298,0.0036222634,0.0005215167,0.0000037344964,0.00022481708,0.00006600318,0.0022238155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974959,0.000097135635,0.00031162865,0.0007124309,0.00052740116,0.0008555131],"domain_scores_gemma":[0.9982949,0.00007141658,0.00012219262,0.0010350635,0.000003980412,0.00047245913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003033682,0.00030167316,0.00023613546,0.0002998366,0.00045021027,0.00017282231,0.0010473257,0.00016099843,0.00067296013],"category_scores_gemma":[0.00007706022,0.00030941376,0.00005242865,0.0012689139,0.00015675793,0.0010845264,0.0025500194,0.00012868263,0.00019353956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052926855,0.00009399895,0.0024840657,0.000016036376,0.000052343163,0.00019649035,0.0015430228,0.9114297,0.021879466,0.007264906,0.0120335035,0.04295351],"study_design_scores_gemma":[0.0044976193,0.000696167,0.3044114,0.0005852846,0.00026422951,0.00044683312,0.008346964,0.12055145,0.06270188,0.037651908,0.45308927,0.006756994],"about_ca_topic_score_codex":0.0134664895,"about_ca_topic_score_gemma":0.0059199813,"teacher_disagreement_score":0.7908783,"about_ca_system_score_codex":0.00055181485,"about_ca_system_score_gemma":0.000052158295,"threshold_uncertainty_score":0.9999358},"labels":[],"label_agreement":null},{"id":"W4389038799","doi":"10.1016/j.enpol.2023.113898","title":"Beyond policy impacts: Internal strategic capabilities as determinants of industrial energy efficiency implementation","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stakeholder; LEAPS; Business; Resource (disambiguation); Industrial organization; Resource efficiency; Environmental economics; Natural resource; Process management; Economics; Management; Political science; Computer science; Finance","score_opus":0.030184950213365376,"score_gpt":0.3272760695411317,"score_spread":0.29709111932776633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389038799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8733,0.00008031344,0.00007968429,0.0005592598,0.00060723274,0.00009059824,0.000055631277,0.00029017974,0.1249371],"genre_scores_gemma":[0.991659,0.00026680273,0.00002407887,0.000639584,0.001560136,0.00008091511,0.000116557865,0.00006628492,0.0055866363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966117,0.00022792105,0.0009457321,0.00054120197,0.00062363985,0.0010498173],"domain_scores_gemma":[0.99848604,0.00016184815,0.0003935143,0.00060043513,0.000104483515,0.00025370537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039811918,0.00042487562,0.0004689591,0.0016242845,0.00021288915,0.00008372093,0.0006500346,0.0002234761,0.00040114045],"category_scores_gemma":[0.000209501,0.0004036438,0.0002348906,0.0022324985,0.00025345432,0.0002752351,0.00032651128,0.00014119352,0.00005159342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006535547,0.00012413146,0.00040624716,0.000023240387,0.0000701638,0.000026870834,0.000847258,0.008492517,0.0017381817,0.92666936,0.0008072083,0.060729463],"study_design_scores_gemma":[0.009503212,0.0036138953,0.002897163,0.00038975038,0.00021414437,0.00009845183,0.017096475,0.0073517608,0.34350717,0.4958273,0.11664365,0.0028570544],"about_ca_topic_score_codex":0.32658082,"about_ca_topic_score_gemma":0.016170805,"teacher_disagreement_score":0.43084207,"about_ca_system_score_codex":0.0003351359,"about_ca_system_score_gemma":0.0008458144,"threshold_uncertainty_score":0.9998416},"labels":[],"label_agreement":null},{"id":"W4389761961","doi":"10.1016/j.enpol.2023.113919","title":"Additional or accidental? Simulating interactions between a low-carbon fuel standard and other climate policy instruments in Canada","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Computable general equilibrium; Greenhouse gas; Climate policy; Policy analysis; Energy policy; Environmental economics; Natural resource economics; Environmental policy; Climate change; Key (lock); Economics; Public economics; Business; Engineering; Political science; Macroeconomics; Computer science; Renewable energy; Public administration","score_opus":0.059462064253865514,"score_gpt":0.28111530164015297,"score_spread":0.22165323738628745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389761961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92457986,0.00002796214,0.0000018798518,0.0020230785,0.00018357574,0.00008600154,0.040773515,0.000051199975,0.03227295],"genre_scores_gemma":[0.99548477,0.0002804496,0.0000351987,0.0016439129,0.0009111705,0.000065706205,0.0007845812,0.000047491507,0.0007467469],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984105,0.000015442516,0.00060745096,0.0003421434,0.00004153383,0.00058290083],"domain_scores_gemma":[0.99914986,0.00024224665,0.00025505538,0.00019279853,0.000009147849,0.00015091572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013266844,0.00019059339,0.00037296987,0.0008672611,0.000110143104,0.00007334575,0.00014620963,0.00006708061,0.0028555538],"category_scores_gemma":[0.0002448699,0.00022500598,0.000049836675,0.00066231174,0.000035209185,0.00019723542,0.00019281989,0.00012841886,0.00007815307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016901748,0.000051829662,0.77614427,0.00016758971,0.00022775204,0.00003115663,0.002055425,0.0022428297,0.000006530183,0.19416413,0.013210222,0.011529275],"study_design_scores_gemma":[0.0028562315,0.00009189581,0.2790634,0.00026648596,0.000009756299,0.000021573735,0.0012040323,0.030965392,0.000051723666,0.04899319,0.63526875,0.0012075673],"about_ca_topic_score_codex":0.8653224,"about_ca_topic_score_gemma":0.8887376,"teacher_disagreement_score":0.6220585,"about_ca_system_score_codex":0.0013989985,"about_ca_system_score_gemma":0.00037016798,"threshold_uncertainty_score":0.998056},"labels":[],"label_agreement":null},{"id":"W4392434768","doi":"10.1016/j.enpol.2024.114054","title":"The impact of environmental taxation on innovation: Evidence from Canada","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Economics; Environmental impact assessment; Environmental tax; Business; Public economics; Ecology; Biology","score_opus":0.021411909830655565,"score_gpt":0.228433160148479,"score_spread":0.20702125031782342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392434768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843079,0.0027658127,0.0002523622,0.001568509,0.0003375043,0.00004482654,0.00050672184,0.000016592725,0.010199792],"genre_scores_gemma":[0.996515,0.00088108104,0.00002926103,0.00022118249,0.0003923474,0.000018415103,0.000044630153,0.00002498113,0.0018731311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99891615,0.000016277047,0.00050972594,0.0003055996,0.000046599656,0.0002056291],"domain_scores_gemma":[0.9989883,0.00020501987,0.0003817855,0.00037880836,0.0000027860265,0.00004335711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018390443,0.0001393334,0.000175058,0.00018906365,0.00008379978,0.000053157433,0.00023040293,0.00005508035,0.00041315993],"category_scores_gemma":[0.00014522587,0.0001236599,0.000078435674,0.00027894188,0.000066211025,0.00017189476,0.00005177902,0.00008759393,0.00009269549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001739388,0.00003505949,0.022321181,0.0000046058904,0.00019082446,0.0000033831968,0.00015253777,0.010698927,0.0008668198,0.9507384,0.007075732,0.007895136],"study_design_scores_gemma":[0.00029838487,0.00016526548,0.79971486,0.00006777127,0.0000070247993,0.0000028735997,0.000044960267,0.0091373185,0.005027877,0.07973401,0.10534673,0.00045290432],"about_ca_topic_score_codex":0.7289154,"about_ca_topic_score_gemma":0.036362976,"teacher_disagreement_score":0.8710044,"about_ca_system_score_codex":0.0012928299,"about_ca_system_score_gemma":0.00016936036,"threshold_uncertainty_score":0.9812209},"labels":[],"label_agreement":null},{"id":"W4394564219","doi":"10.1016/j.enpol.2024.114083","title":"Digitalization of power distribution grids: Barrier analysis, ranking and policy recommendations","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; European Commission","keywords":"Electrification; Renewable energy; Software deployment; Smart grid; Decentralization; Environmental economics; Distribution (mathematics); Ranking (information retrieval); Energy policy; Risk analysis (engineering); Electricity; Business; Industrial organization; Process management; Computer science; Engineering; Economics","score_opus":0.004339138536262314,"score_gpt":0.23088392590927456,"score_spread":0.22654478737301226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394564219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054959748,0.0027671242,0.8714368,0.0039623426,0.001282798,0.00015104748,0.0006440616,0.0014870315,0.06330906],"genre_scores_gemma":[0.99772525,0.00051746005,0.00009180995,0.00007503639,0.0003553162,0.000017379934,0.0006198326,0.000028341317,0.00056954636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992365,0.000022134556,0.00025122947,0.00016973533,0.0001237545,0.00019664322],"domain_scores_gemma":[0.9996405,0.00003894144,0.000023477567,0.00020219928,0.000026295784,0.00006858364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008375771,0.00013714541,0.0001608857,0.00075936737,0.00004597156,0.00008981455,0.00007905644,0.000054990465,0.000057704558],"category_scores_gemma":[0.000049754377,0.00014233023,0.00008834066,0.0019546566,0.00003276704,0.00024687478,0.00005398153,0.000047981895,0.0000036185302],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002328176,0.000013812649,0.00038606933,0.00005367132,0.0009031768,0.0000024091748,0.00024532716,0.26978377,0.00037751094,0.70618224,0.008658108,0.013391572],"study_design_scores_gemma":[0.00022193856,0.000025545112,0.0074509713,0.00007485085,0.00030304346,0.0000043194395,0.000054002205,0.19911544,0.00334499,0.003845188,0.78518915,0.00037059022],"about_ca_topic_score_codex":0.0005817515,"about_ca_topic_score_gemma":0.00007644027,"teacher_disagreement_score":0.94276553,"about_ca_system_score_codex":0.00015219898,"about_ca_system_score_gemma":0.00003469476,"threshold_uncertainty_score":0.58040583},"labels":[],"label_agreement":null},{"id":"W4396652546","doi":"10.1016/j.enpol.2024.114149","title":"Do climate concerns and worries predict energy preferences? A meta-analysis","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; Université de Saint-Boniface; Université de Montréal; University of British Columbia; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; CHEO Research Institute","keywords":"Climate change; Renewable energy; Biology and political orientation; Natural resource economics; Opposition (politics); Psychology; Energy transition; Environmental impact of the energy industry; Energy policy; Environmental resource management; Social psychology; Public economics; Political science; Economics; Politics; Ecology","score_opus":0.5373291782304503,"score_gpt":0.48442737320386997,"score_spread":0.05290180502658037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396652546","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021658972,0.0492699,0.0015391974,0.03949996,0.0005169417,0.00017687047,0.0006411477,0.0011731427,0.88552386],"genre_scores_gemma":[0.9450692,0.0465362,0.000048406375,0.000700266,0.0005694584,0.00004473945,0.000078333345,0.000011309514,0.0069420864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865866,0.0003531836,0.0001983423,0.0002625578,0.00024606555,0.00028118075],"domain_scores_gemma":[0.999237,0.0002014369,0.000056020002,0.00031138049,0.000049792856,0.00014434506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038563303,0.00012846007,0.00031339322,0.00034529564,0.0004116803,0.00040631765,0.0002461382,0.000104402134,0.0034306524],"category_scores_gemma":[0.00006255858,0.0001050674,0.00031062562,0.0011065012,0.00030279494,0.00022056418,0.00012457692,0.00007143835,0.000018217173],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050733756,0.00001623802,0.00020302163,0.000010324186,0.005564961,0.0000013997388,0.016331118,0.000044523927,0.000013931777,0.9605364,0.0015885053,0.015684491],"study_design_scores_gemma":[0.00005959757,0.00002160272,0.00047719595,0.000007390905,0.010851874,7.225955e-7,0.0029772439,0.00093455234,0.000013337554,0.010528197,0.9739259,0.00020238865],"about_ca_topic_score_codex":0.038645525,"about_ca_topic_score_gemma":0.048902385,"teacher_disagreement_score":0.97233737,"about_ca_system_score_codex":0.00007483442,"about_ca_system_score_gemma":0.0001132478,"threshold_uncertainty_score":0.99748033},"labels":[],"label_agreement":null},{"id":"W4398159177","doi":"10.1016/j.enpol.2024.114164","title":"Community-developer collaboration and voluntary community benefits in Scotland: Are community benefits a gift or compensation?","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Horizon 2020 Framework Programme; European Commission; Queen's University; Radboud Universiteit; Queen's University Belfast","keywords":"Turnover; Compensation (psychology); Business; Social benefits; Economics; Psychology; Quality (philosophy); Management; Social psychology","score_opus":0.07555607190048519,"score_gpt":0.2865699246974426,"score_spread":0.2110138527969574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398159177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98196644,0.002219196,0.000038145252,0.0038098816,0.00024030212,0.00017731884,0.0004140664,0.00014657453,0.010988066],"genre_scores_gemma":[0.9947084,0.0013439738,0.00016914013,0.0016418432,0.00013169905,0.00003999026,0.0004535489,0.000054661145,0.0014567482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975325,0.0010412993,0.0007379451,0.00017952826,0.000080660844,0.0004280708],"domain_scores_gemma":[0.9980139,0.0007873985,0.00020429902,0.00074250647,0.00008998802,0.00016189952],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002035459,0.00032102052,0.0006010241,0.00097177457,0.0017796503,0.00046227034,0.00063209335,0.00024015346,0.00012526843],"category_scores_gemma":[0.0005420945,0.00035397735,0.00006929308,0.0016683551,0.00016949256,0.0007070609,0.00058643345,0.001705507,0.00006397742],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016047293,0.0010525131,0.20371711,0.0003591913,0.00031211594,0.000012593187,0.13236423,0.00072496553,0.00001918267,0.6289277,0.0063960846,0.02595383],"study_design_scores_gemma":[0.0011567508,0.00017962656,0.9108032,0.0003653202,0.00001236883,0.000015632173,0.012091614,0.0009074512,0.000048889255,0.0321751,0.041489016,0.0007550405],"about_ca_topic_score_codex":0.19545625,"about_ca_topic_score_gemma":0.29713959,"teacher_disagreement_score":0.7070861,"about_ca_system_score_codex":0.0005391039,"about_ca_system_score_gemma":0.00027575906,"threshold_uncertainty_score":0.9998912},"labels":[],"label_agreement":null},{"id":"W4399117430","doi":"10.1016/j.enpol.2024.114199","title":"Community-based wind energy development does not work? Empirical evidence from residents in Canada and Ireland","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Work (physics); Wind power; Energy (signal processing); Renewable energy; Regional science; Geography; Economic growth; Political science; Economics; Engineering; Physics","score_opus":0.049821015555705034,"score_gpt":0.32360863089177816,"score_spread":0.2737876153360731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399117430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98807,0.001492218,0.000088351466,0.0075304992,0.00058432197,0.000038821938,0.000011529672,0.00008807865,0.0020961515],"genre_scores_gemma":[0.99168724,0.0005172955,0.00033028936,0.002843303,0.0008210682,0.000026770746,0.00001746154,0.000028672688,0.0037279036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972691,0.00079939904,0.00034165572,0.00035132832,0.0006674938,0.00057100726],"domain_scores_gemma":[0.9980979,0.001258441,0.00006599931,0.00025296156,0.00004436391,0.0002803476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047695616,0.00021825367,0.0002760281,0.00023820957,0.0005940075,0.00022744085,0.0005159968,0.00016397056,0.000103725084],"category_scores_gemma":[0.0004383796,0.00019331892,0.000051262297,0.0010336476,0.0002294848,0.00027644698,0.00015928548,0.00026157097,0.000002932557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023325051,0.00015768394,0.3994526,0.000079081765,0.00026723594,0.00043668362,0.047419086,0.0043930444,0.00040385246,0.023069078,0.024755063,0.49933335],"study_design_scores_gemma":[0.0009171485,0.000041463583,0.35437325,0.0017684719,0.00004369364,0.0000010481058,0.01266284,0.00028514647,0.007928082,0.011798666,0.6087651,0.001415085],"about_ca_topic_score_codex":0.99954844,"about_ca_topic_score_gemma":0.9997942,"teacher_disagreement_score":0.58401006,"about_ca_system_score_codex":0.0021579308,"about_ca_system_score_gemma":0.008967893,"threshold_uncertainty_score":0.99665034},"labels":[],"label_agreement":null},{"id":"W4399697341","doi":"10.1016/j.enpol.2024.114228","title":"Regulation vs promotion: Small modular nuclear reactors in Canada","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Modular design; Promotion (chess); Business; Nuclear engineering; Environmental science; Environmental economics; Natural resource economics; Engineering; Economics; Political science; Computer science","score_opus":0.019803068393791094,"score_gpt":0.26790712341756207,"score_spread":0.24810405502377098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399697341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.590164,0.000085378924,0.0002705122,0.05524702,0.00105409,0.00016626596,0.000004248557,0.0002523663,0.35275608],"genre_scores_gemma":[0.98183864,0.00018446369,0.000049968952,0.0005250917,0.0005170091,0.0000071158183,0.000006076065,0.000009893083,0.016861765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929994,0.00008325199,0.00010496712,0.00014376908,0.00018678461,0.00018130193],"domain_scores_gemma":[0.99979377,0.000009684804,0.000015933017,0.00009733758,0.000012620773,0.000070645605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014675032,0.00005479611,0.000058125148,0.00013899284,0.000097706055,0.00006302124,0.00009574876,0.00003580595,0.00053414446],"category_scores_gemma":[0.000027040447,0.000055824654,0.000023283119,0.00041552627,0.000028955372,0.00010475818,0.000022235361,0.000046831497,0.000028525657],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023016162,0.000013583353,0.00016493042,0.000007621453,0.0000063287225,0.000011309029,0.0046200627,0.0006124526,0.000102008264,0.935582,0.012122426,0.04675501],"study_design_scores_gemma":[0.0000427396,0.0000072154844,0.017935174,0.00001709484,0.0000021560195,2.3611913e-7,0.0006538766,0.0015487588,0.000011754571,0.0031827586,0.97652566,0.000072580355],"about_ca_topic_score_codex":0.99312294,"about_ca_topic_score_gemma":0.9927152,"teacher_disagreement_score":0.9644032,"about_ca_system_score_codex":0.0010707445,"about_ca_system_score_gemma":0.0007104745,"threshold_uncertainty_score":0.5848507},"labels":[],"label_agreement":null},{"id":"W4399853819","doi":"10.1016/j.enpol.2024.114224","title":"Assessing the potential for energy efficiency improvements in Latin America and Caribbean","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Latin Americans; Caribbean region; Energy (signal processing); Natural resource economics; Economics; Development economics; Geography; Political science; Physics","score_opus":0.010762541584732723,"score_gpt":0.28589593377462796,"score_spread":0.27513339218989524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399853819","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23566362,0.009950971,0.4287705,0.023363397,0.004808813,0.00075773126,0.00006756674,0.0013492052,0.29526818],"genre_scores_gemma":[0.99147713,0.00021607889,0.00040225696,0.0017745754,0.00064808317,0.00016457372,0.000032059266,0.000049535764,0.0052357134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826133,0.00009473604,0.00034570106,0.00048980553,0.00023102276,0.00057740655],"domain_scores_gemma":[0.99936223,0.00015278516,0.00006443273,0.00031501023,0.000025532858,0.000079996644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020031042,0.00024555298,0.00020232261,0.00038533926,0.00025147558,0.0003333398,0.00028396185,0.00008749379,0.000025778301],"category_scores_gemma":[0.00006373649,0.00018290784,0.000105326755,0.00076613127,0.00013873656,0.0002258025,0.00018836338,0.000108391985,0.0000029356986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007064924,0.000057852307,0.000005317502,0.00002663365,0.000037780545,0.000014918448,0.00025855948,0.032765683,0.0022563199,0.68071914,0.0006467893,0.28320393],"study_design_scores_gemma":[0.00066368596,0.00014958494,0.0007867799,0.000075766584,0.000050818675,0.000006506235,0.00058699906,0.2562938,0.0023924338,0.019145489,0.7194124,0.00043577925],"about_ca_topic_score_codex":0.03484675,"about_ca_topic_score_gemma":0.0013875626,"teacher_disagreement_score":0.7558135,"about_ca_system_score_codex":0.00012116396,"about_ca_system_score_gemma":0.00012091316,"threshold_uncertainty_score":0.97158027},"labels":[],"label_agreement":null},{"id":"W4401056813","doi":"10.1016/j.enpol.2024.114266","title":"Searching for stable electricity in Monrovia: Co-evolution of energy infrastructure and practices","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Environmental economics; Business; Natural resource economics; Engineering; Economics","score_opus":0.01139249781355563,"score_gpt":0.29952226962123607,"score_spread":0.28812977180768046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401056813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922088,0.00096874795,0.0013415947,0.0007779126,0.000032416618,0.00006021941,0.00002385229,0.000022394754,0.0045640743],"genre_scores_gemma":[0.9986365,0.00042577263,0.0001707807,0.000094248535,0.00008815092,0.000025609606,0.0000058422183,0.000008991152,0.00054409413],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922323,0.000047425932,0.00012294175,0.00021928894,0.00013668241,0.00025040272],"domain_scores_gemma":[0.99960166,0.00016532213,0.00008389159,0.00010042381,0.000006148761,0.000042536736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019516137,0.0000803667,0.00010012227,0.00008099776,0.000053744796,0.000027495078,0.00009020628,0.00006074106,0.000059349022],"category_scores_gemma":[0.0002509882,0.00007477794,0.000024568577,0.00041034285,0.00009185198,0.00032203487,0.000072752526,0.00007407626,7.5350573e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029841627,0.00021480132,0.063515544,0.00064037985,0.000050615294,0.00002088036,0.008680122,0.018518874,0.05005197,0.72793525,0.005315393,0.12475773],"study_design_scores_gemma":[0.000796825,0.00039228296,0.16649327,0.00009431835,0.00002645041,0.000026972055,0.0031404432,0.06013292,0.0312923,0.23518668,0.5018995,0.00051805394],"about_ca_topic_score_codex":0.035563514,"about_ca_topic_score_gemma":0.0032182552,"teacher_disagreement_score":0.4965841,"about_ca_system_score_codex":0.00056925684,"about_ca_system_score_gemma":0.0000750366,"threshold_uncertainty_score":0.97085875},"labels":[],"label_agreement":null},{"id":"W4402277002","doi":"10.1016/j.enpol.2024.114319","title":"Examining disparities in energy poverty and indoor environmental quality satisfaction among Canadian households","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Noise Effects and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Energy poverty; Poverty; Environmental quality; Quality (philosophy); Fuel poverty; Business; Economics; Environmental health; Geography; Economic growth; Political science; Medicine","score_opus":0.03620838519929818,"score_gpt":0.33970249609211006,"score_spread":0.30349411089281186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402277002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424435,0.00053259014,0.00008562599,0.0013908984,0.0005519781,0.000113931914,0.000060287948,0.00008730639,0.012933021],"genre_scores_gemma":[0.9881629,0.00055846514,0.000017139208,0.004251284,0.0004525156,0.00012856645,0.000034467983,0.0000324084,0.006362275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847895,0.00033617124,0.00027997236,0.00028223608,0.00013238098,0.0004903076],"domain_scores_gemma":[0.99936897,0.0001884075,0.00004400023,0.00017213252,0.000002753935,0.00022376733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030882662,0.0001503016,0.00017710059,0.00032973464,0.00027798698,0.00003206179,0.000057342335,0.00014721091,0.00013426288],"category_scores_gemma":[0.000031954467,0.00013816352,0.000024082443,0.00016024188,0.000067105386,0.00020206907,0.00010289515,0.00021885488,0.000011118629],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013018689,0.000016998756,0.66883713,0.00016733017,0.000047906688,0.00004835369,0.0018944426,0.000055474815,0.0003724624,0.26063848,0.013143976,0.054764427],"study_design_scores_gemma":[0.00024476473,0.000024783514,0.8888442,0.00011157706,0.0000072704183,6.823913e-7,0.0006306686,0.0002624937,0.00002723216,0.0009884693,0.10870304,0.00015482947],"about_ca_topic_score_codex":0.9514518,"about_ca_topic_score_gemma":0.8538276,"teacher_disagreement_score":0.25965,"about_ca_system_score_codex":0.0007417951,"about_ca_system_score_gemma":0.00020147163,"threshold_uncertainty_score":0.5634145},"labels":[],"label_agreement":null},{"id":"W4402737894","doi":"10.1016/j.enpol.2024.114341","title":"Equity-based energy retrofits to address energy poverty in Canada","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough","keywords":"Energy poverty; Fuel poverty; Equity (law); Poverty; Energy (signal processing); Business; Economics; Natural resource economics; Forensic engineering; Engineering; Political science; Economic growth; Medicine; Physics","score_opus":0.01174899190915342,"score_gpt":0.2438730931641234,"score_spread":0.23212410125496996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402737894","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30954522,0.001241945,0.007548817,0.029594494,0.0025893445,0.00018551145,0.00027999072,0.00056132185,0.64845335],"genre_scores_gemma":[0.9618238,0.00010576212,0.00014357701,0.026846547,0.00029742636,0.000051941053,0.00004092622,0.000059106056,0.01063089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972052,0.00011409618,0.00034605368,0.00064518605,0.00068254024,0.0010069447],"domain_scores_gemma":[0.9987187,0.00012131617,0.00004461531,0.00052168925,0.0000029910034,0.00059070246],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015044639,0.00035455715,0.00026870656,0.0002392374,0.0001033424,0.000068008914,0.00054005557,0.00013359434,0.0022166932],"category_scores_gemma":[0.0000647033,0.0003327683,0.00008390496,0.0011264763,0.00007101351,0.00023676091,0.0004945946,0.00014599405,0.00009607376],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007593708,0.00011371663,0.0029582335,0.000018531642,0.000040959298,0.00047670965,0.0001429242,0.6719382,0.004960164,0.07190323,0.16137786,0.08599352],"study_design_scores_gemma":[0.00037253636,0.00009191283,0.016166687,0.00008102849,0.00001103786,0.000011975897,0.000021915199,0.0061649396,0.024770504,0.002180258,0.9494548,0.0006724288],"about_ca_topic_score_codex":0.9869708,"about_ca_topic_score_gemma":0.97986495,"teacher_disagreement_score":0.78807694,"about_ca_system_score_codex":0.0037408548,"about_ca_system_score_gemma":0.0006826118,"threshold_uncertainty_score":0.99991244},"labels":[],"label_agreement":null},{"id":"W4402886078","doi":"10.1016/j.enpol.2024.114298","title":"The geography of energy poverty in Canada: Spatial clustering and inequalities at the municipal level","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Inequality; Energy poverty; Geography; Regional science; Economic geography; Cluster analysis; Poverty; Economics; Economic growth; Statistics; Mathematics","score_opus":0.014802570788067808,"score_gpt":0.21540322334715067,"score_spread":0.20060065255908285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402886078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816678,0.0011023639,0.00012370075,0.0027484123,0.00017231412,0.000025348718,0.000034327008,0.0000119806,0.014113718],"genre_scores_gemma":[0.9952996,0.0010227696,0.000009830718,0.00111126,0.00007738232,0.000011479498,0.000004824408,0.000012780442,0.0024501137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99899167,0.00008938894,0.00019496684,0.00016642243,0.00024101355,0.00031654455],"domain_scores_gemma":[0.99942416,0.0002272929,0.000037574453,0.00024054931,9.3616086e-7,0.00006945986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015524431,0.00012749371,0.00010405278,0.000040858027,0.00016831196,0.00002419111,0.0002077513,0.000038574326,0.00016836784],"category_scores_gemma":[0.000025831192,0.00007440052,0.000036739446,0.0001941868,0.0002508527,0.00008372035,0.00044007978,0.00007457517,0.0000020381688],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021276565,0.0000848172,0.1490769,0.000057716206,0.0002362013,0.0000872177,0.004041114,0.516226,0.0028131704,0.06756479,0.015771365,0.24382797],"study_design_scores_gemma":[0.00032795413,0.00005946299,0.66190463,0.000049456696,0.000015923446,0.000024393485,0.00034169416,0.012870549,0.004035556,0.0029998291,0.3170325,0.0003380389],"about_ca_topic_score_codex":0.9922023,"about_ca_topic_score_gemma":0.9946963,"teacher_disagreement_score":0.51282775,"about_ca_system_score_codex":0.00040595743,"about_ca_system_score_gemma":0.00007343202,"threshold_uncertainty_score":0.30339652},"labels":[],"label_agreement":null},{"id":"W4402906617","doi":"10.1016/j.enpol.2024.114361","title":"The barriers, determinants, and willingness-to-pay in electric motorcycle conversion (EMC) adoption","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Österreichische Forschungsförderungsgesellschaft; ASEAN-European Academic University Network","keywords":"Willingness to pay; Business; Environmental economics; Public economics; Economics; Microeconomics","score_opus":0.002309069245041953,"score_gpt":0.199554192021094,"score_spread":0.19724512277605205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402906617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928515,0.0039791106,0.0008435616,0.00044469864,0.00034900766,0.00007139208,0.0000035357677,0.00019672241,0.0012604998],"genre_scores_gemma":[0.99721044,0.0018572889,0.000038204656,0.00013945435,0.0003109431,0.000010877092,0.0000014277167,0.000025306366,0.00040602565],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993636,0.000016273047,0.0001249048,0.00013527917,0.000079971825,0.00027994986],"domain_scores_gemma":[0.9997341,0.000045368164,0.000008089185,0.00010803027,0.000008359118,0.00009606741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069645095,0.00011139434,0.000087447996,0.000160664,0.000086641805,0.00007335418,0.000090891095,0.00007723086,0.000008526384],"category_scores_gemma":[0.000023190954,0.000075537784,0.000024142171,0.00062215124,0.000013657348,0.00009434804,0.00002138681,0.0001482628,0.000006269583],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031666797,0.000006174182,0.007830265,0.00015633485,0.000054594962,0.000055528846,0.00093348604,0.014869671,0.040238753,0.04684024,0.008715105,0.88026816],"study_design_scores_gemma":[0.00029431446,0.00011740458,0.041180797,0.00009141608,0.000013676598,0.00004873452,0.000049085742,0.45492488,0.029667417,0.0033390934,0.46988592,0.0003872897],"about_ca_topic_score_codex":0.00031601443,"about_ca_topic_score_gemma":0.000045355697,"teacher_disagreement_score":0.8798809,"about_ca_system_score_codex":0.000114275754,"about_ca_system_score_gemma":0.000044559267,"threshold_uncertainty_score":0.30803415},"labels":[],"label_agreement":null},{"id":"W4403156844","doi":"10.1016/j.enpol.2024.114365","title":"Maintaining reliability in a 100% decarbonized power sector: The interrelated role of flexible resources","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Reliability (semiconductor); Power (physics); Business; Industrial organization; Natural resource economics; Economics; Environmental economics; Physics","score_opus":0.0041411150971548474,"score_gpt":0.21241947937897387,"score_spread":0.20827836428181903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403156844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7052274,0.0051430236,0.00484629,0.00037729958,0.001008081,0.00016311655,0.000013230669,0.0013284674,0.28189313],"genre_scores_gemma":[0.99852926,0.00003806443,0.00013039635,0.000032882665,0.0001461105,0.00004090861,0.00000868869,0.000061699204,0.0010120224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885964,0.00011296669,0.00040559244,0.00019450353,0.00013943092,0.00028785146],"domain_scores_gemma":[0.99943006,0.0001217104,0.00003206568,0.00033620806,0.000037470425,0.000042484353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003007882,0.00017605521,0.00020264374,0.0004319249,0.00002705795,0.00004794332,0.00020705913,0.00016158125,0.00010752557],"category_scores_gemma":[0.00008353724,0.00013327898,0.00008062789,0.0010708087,0.000052528965,0.000106316125,0.000041487525,0.00024587713,0.000009986158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020872683,0.000013110176,0.00011674263,0.000021755028,0.00008056476,0.0000061338455,0.0058805454,0.891144,0.0024704018,0.09866511,0.00028294235,0.0012978644],"study_design_scores_gemma":[0.00031451893,0.00005621571,0.00049974007,0.00043730676,0.000017367376,0.000019499283,0.0015334014,0.9283403,0.014346517,0.003404376,0.05072782,0.00030295036],"about_ca_topic_score_codex":0.008892578,"about_ca_topic_score_gemma":0.00037408137,"teacher_disagreement_score":0.29330185,"about_ca_system_score_codex":0.00030268013,"about_ca_system_score_gemma":0.00006588393,"threshold_uncertainty_score":0.9977073},"labels":[],"label_agreement":null},{"id":"W4403836587","doi":"10.1016/j.enpol.2024.114390","title":"How do we decarbonize one billion vehicles by 2050? Insights from a comparative life cycle assessment of electrifying light-duty vehicle fleets in the United States, China, and the United Kingdom","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Saudi Aramco; University of Toronto; Canada Research Chairs","keywords":"China; Aeronautics; Engineering; Political science","score_opus":0.01310565130980991,"score_gpt":0.24918916662948717,"score_spread":0.23608351531967725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403836587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802461,0.012942159,0.0005290318,0.005483817,0.000055552722,0.00017357763,0.00003648799,0.00012961845,0.00040363809],"genre_scores_gemma":[0.9955142,0.00353422,0.00010492449,0.00036796497,0.00021757637,0.00003454382,0.0001592277,0.000041641862,0.000025671012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984044,0.00031489678,0.00033577465,0.0002684189,0.00031273082,0.000363785],"domain_scores_gemma":[0.9990646,0.00043351846,0.00007622754,0.00029334723,0.000040327974,0.00009192877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016266036,0.0002912908,0.00038344553,0.0005389971,0.00013133136,0.00027553638,0.00030393558,0.00014699322,0.0000053395115],"category_scores_gemma":[0.000026083102,0.00017585873,0.00006731982,0.0025232865,0.0001014924,0.00017073247,0.000053190346,0.00055353745,5.2573336e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030018896,0.00038109225,0.0004670176,0.00032711364,0.0017845102,0.000050501178,0.033845954,0.27261728,0.16673772,0.4864268,0.013825549,0.02323626],"study_design_scores_gemma":[0.0017945552,0.00010207638,0.004866366,0.00021837246,0.00006602656,0.0000046563573,0.00051374827,0.90022355,0.013118387,0.013753068,0.064998925,0.0003402477],"about_ca_topic_score_codex":0.018039288,"about_ca_topic_score_gemma":0.0003353403,"teacher_disagreement_score":0.6276063,"about_ca_system_score_codex":0.00013005585,"about_ca_system_score_gemma":0.00007527142,"threshold_uncertainty_score":0.9884997},"labels":[],"label_agreement":null},{"id":"W4404578875","doi":"10.1016/j.enpol.2024.114416","title":"Cost and carbon-intensity reducing innovation in biofuels for road transportation","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Stanford University","keywords":"Biofuel; Carbon fibers; Natural resource economics; Business; Transport engineering; Environmental science; Engineering; Waste management; Economics; Computer science","score_opus":0.018914358651116563,"score_gpt":0.26692982572526097,"score_spread":0.2480154670741444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404578875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966539,0.00032802552,0.0015291004,0.00027889202,0.00014720256,0.00004816986,0.000013015085,0.00010474195,0.00089691416],"genre_scores_gemma":[0.99917954,0.00013942504,0.00018705054,0.000046561123,0.00021270722,0.000024169307,0.00003502957,0.000014260881,0.0001612443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.000002117997,0.0001367755,0.00008466816,0.000030421963,0.00011330509],"domain_scores_gemma":[0.999895,0.000010035947,0.0000070939814,0.00005000451,0.000017189608,0.000020692876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006332743,0.000059770726,0.00006566296,0.0002377397,0.000018919429,0.000017583545,0.000020193043,0.00004657092,0.0000024159795],"category_scores_gemma":[0.000008928099,0.00005918483,0.000010421892,0.0004627116,0.000007858294,0.0000765122,0.000001761317,0.000052807703,3.40669e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024573674,0.000013542105,0.001393673,0.00041775167,0.000031358606,0.000007981401,0.003760961,0.058005843,0.07216662,0.03678117,0.0006976935,0.82669884],"study_design_scores_gemma":[0.00026899631,0.000022887403,0.017711204,0.00019260866,0.000006021355,0.0000051804377,0.000056877627,0.9035611,0.036949605,0.001711584,0.039317116,0.000196818],"about_ca_topic_score_codex":0.0017241987,"about_ca_topic_score_gemma":0.0001704452,"teacher_disagreement_score":0.84555525,"about_ca_system_score_codex":0.000043896755,"about_ca_system_score_gemma":0.000023460252,"threshold_uncertainty_score":0.26064843},"labels":[],"label_agreement":null},{"id":"W4404659678","doi":"10.1016/j.enpol.2024.114430","title":"Do economic trade-offs matter in climate policy support? Survey evidence from the United Kingdom and Australia","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Vetenskapsrådet","keywords":"Economics; Climate change; Climate policy; Natural resource economics; Ecology","score_opus":0.20990556990760323,"score_gpt":0.3362741725825864,"score_spread":0.12636860267498318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404659678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714277,0.0011994537,0.000023141247,0.020546729,0.0005776532,0.00011608344,0.0035475856,0.000058942605,0.0025027273],"genre_scores_gemma":[0.98963094,0.004120251,0.000028355691,0.003766724,0.0014476142,0.000039802748,0.00026673177,0.00006798268,0.0006315847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99752724,0.00008314388,0.0008650094,0.00072907074,0.000028111912,0.00076741265],"domain_scores_gemma":[0.99839866,0.00066286937,0.00019893407,0.0005686545,0.0000052229593,0.00016564336],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00095284916,0.00032875413,0.0004956415,0.0009667983,0.00012540165,0.000551905,0.00044619667,0.00020826836,0.0015139988],"category_scores_gemma":[0.00014913565,0.00032454822,0.0001279787,0.0005986416,0.00016117611,0.00047240942,0.00022807169,0.0002635276,0.0018216972],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038791477,0.000024882624,0.4150073,0.0000448403,0.00007868277,0.000011928586,0.0019747752,0.00034578796,0.000010370443,0.57022256,0.011781533,0.00045853257],"study_design_scores_gemma":[0.00047206174,0.000045761546,0.80325663,0.0001480565,0.000011220572,0.000021146749,0.000066809436,0.0034854864,0.00005122254,0.03639211,0.15540844,0.00064107816],"about_ca_topic_score_codex":0.4437173,"about_ca_topic_score_gemma":0.024038797,"teacher_disagreement_score":0.53383046,"about_ca_system_score_codex":0.0005059691,"about_ca_system_score_gemma":0.000092539776,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W4405060458","doi":"10.1016/j.enpol.2024.114450","title":"Analysis of rural electrification policy formulation in Chile: Key policy challenges for developing rural electrification based on off-grid systems","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Agencia Nacional de Investigación y Desarrollo; Ministerio de Ciencia, Innovación y Universidades","keywords":"Rural electrification; Electrification; Key (lock); Grid; Environmental economics; Energy policy; Business; Renewable energy; Economic growth; Natural resource economics; Regional science; Environmental planning; Development economics; Electricity; Economics; Engineering; Geography; Computer science; Electrical engineering; Computer security","score_opus":0.015554663697987858,"score_gpt":0.26869740119316693,"score_spread":0.25314273749517907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405060458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539181,0.0017267294,0.015450667,0.015041975,0.00024058286,0.0007089111,0.00010888121,0.00025348415,0.012550698],"genre_scores_gemma":[0.996284,0.0016000919,0.00014000987,0.00031759922,0.0005512537,0.00015679315,0.0004681883,0.00003911282,0.00044293737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980294,0.00012997624,0.0005358842,0.0003398242,0.0003941779,0.0005707069],"domain_scores_gemma":[0.99908656,0.00018574166,0.00019505488,0.00041042926,0.000012307701,0.0001099263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040243092,0.00027712312,0.00034151433,0.0018468262,0.000119066804,0.000054667817,0.00025614016,0.00019442623,0.00002468448],"category_scores_gemma":[0.00018907976,0.0002644234,0.0001747808,0.003281121,0.000057646146,0.00034880778,0.000017826993,0.000116211835,0.00001880159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008497178,0.00012775282,0.0010434699,0.00005169142,0.00014012323,5.443395e-7,0.0006616151,0.6648284,0.02140944,0.26288265,0.00009977517,0.048669543],"study_design_scores_gemma":[0.0010193941,0.0004529692,0.36892325,0.0002387279,0.00023197096,0.000004789558,0.00019923852,0.56662685,0.036832135,0.0029558279,0.021658102,0.00085677736],"about_ca_topic_score_codex":0.010357296,"about_ca_topic_score_gemma":0.0007167406,"teacher_disagreement_score":0.36787978,"about_ca_system_score_codex":0.001681674,"about_ca_system_score_gemma":0.0002161659,"threshold_uncertainty_score":0.9999808},"labels":[],"label_agreement":null},{"id":"W4405840885","doi":"10.1016/j.enpol.2024.114473","title":"Fuel efficiency, power trading, and emissions leakage from driving electric vehicles: Evidence from Chinese provinces","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Shanghai Office of Philosophy and Social Science","keywords":"Leakage (economics); Green vehicle; Automotive engineering; Business; Environmental science; Natural resource economics; Fuel efficiency; Economics; Engineering; Macroeconomics","score_opus":0.008545735026731912,"score_gpt":0.2518548220104994,"score_spread":0.2433090869837675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405840885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745807,0.012795938,0.0008229689,0.0010699721,0.00021329893,0.000053837004,0.0000641338,0.0003637382,0.010035404],"genre_scores_gemma":[0.99262625,0.0028914048,0.00018225602,0.00046758694,0.0007091988,0.00003721184,0.000067781344,0.00007314721,0.0029451924],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979953,0.00008253661,0.00040096667,0.0006724773,0.00035310234,0.0004956202],"domain_scores_gemma":[0.99868864,0.0005518019,0.00008723657,0.00039266667,0.000012737546,0.0002669315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010373092,0.0003697583,0.00030313391,0.0003537556,0.00021862517,0.00018997176,0.00031288734,0.0001665238,0.00042287438],"category_scores_gemma":[0.00014035442,0.0003054643,0.00013578874,0.00068364927,0.00014432617,0.00044448455,0.000049149065,0.00021967701,0.000028995326],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008121571,0.0005041748,0.054071262,0.00015236111,0.0007313232,0.00029837788,0.034671746,0.011812386,0.46757975,0.3837909,0.002784922,0.043521572],"study_design_scores_gemma":[0.0012602954,0.0003627434,0.64896387,0.0013453584,0.00032224818,0.00002402413,0.00079018925,0.03306939,0.04485419,0.080518216,0.18617453,0.0023149431],"about_ca_topic_score_codex":0.07118574,"about_ca_topic_score_gemma":0.005257695,"teacher_disagreement_score":0.5948926,"about_ca_system_score_codex":0.000118740645,"about_ca_system_score_gemma":0.0001598778,"threshold_uncertainty_score":0.99993974},"labels":[],"label_agreement":null},{"id":"W4409147186","doi":"10.1016/j.enpol.2025.114615","title":"“Stretch and transform” for energy justice: Indigenous advocacy for institutional transformative change of electricity in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Natural Resources Canada; Canada Research Chairs; University of Victoria","keywords":"Transformative learning; Indigenous; Electricity; Environmental justice; Political science; Economic Justice; Energy (signal processing); Institutional change; Public administration; Economic growth; Sociology; Criminology; Law; Economics; Engineering","score_opus":0.00669853177810569,"score_gpt":0.21114193977409587,"score_spread":0.20444340799599017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409147186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417553,0.0021268998,0.043451976,0.00039723652,0.00025303036,0.0005853591,0.00038419745,0.00007569387,0.010970306],"genre_scores_gemma":[0.9979887,0.00045478993,0.00011709005,0.00027610778,0.00010255661,0.00036804331,0.000055381446,0.0000124231365,0.00062488596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992786,0.000009420671,0.0002257308,0.00011554548,0.00008124128,0.00028943332],"domain_scores_gemma":[0.99978405,0.000059953545,0.000020662743,0.000060725244,0.000028742745,0.000045848374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006335188,0.000087800436,0.00019345712,0.00014972992,0.00010871335,0.00002501033,0.00008713205,0.0000679421,0.0000035175524],"category_scores_gemma":[0.000017442399,0.0001339175,0.0000391183,0.00029876642,0.000030915537,0.000044153327,0.0000057863585,0.00004806754,1.29034365e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042374366,0.00009854509,0.00035302766,0.0019238999,0.0002490955,0.0000076276983,0.0062064077,0.0150947,0.00007812195,0.017104762,0.0042699114,0.95457155],"study_design_scores_gemma":[0.006491841,0.00036386726,0.017163336,0.00061147875,0.00024737732,0.00001556806,0.0025325443,0.08559413,0.0048728143,0.003201612,0.87798464,0.00092080265],"about_ca_topic_score_codex":0.9163995,"about_ca_topic_score_gemma":0.9612737,"teacher_disagreement_score":0.9536507,"about_ca_system_score_codex":0.00021945177,"about_ca_system_score_gemma":0.0003870033,"threshold_uncertainty_score":0.5460998},"labels":[],"label_agreement":null},{"id":"W4409566190","doi":"10.1016/j.enpol.2025.114644","title":"Explaining public support for net-zero climate policy instruments: Perceptions of distributive fairness under competing frames","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distributive property; Perception; Zero (linguistics); Net (polyhedron); Climate change; Environmental economics; Public economics; Distributive justice; Economics; Public support; Public policy; Political science; Psychology; Social psychology; Environmental resource management; Microeconomics; Mathematics; Ecology; Economic growth","score_opus":0.053824165974365436,"score_gpt":0.29491070040030853,"score_spread":0.2410865344259431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409566190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.670007,0.00039996457,0.09242208,0.023722306,0.0011155666,0.00056077377,0.011412003,0.00023860019,0.20012172],"genre_scores_gemma":[0.9939835,0.000724096,0.0005672715,0.0025072675,0.0004291127,0.00015049154,0.0006267207,0.000040979976,0.0009705497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976609,0.000022231292,0.0009811067,0.00046820968,0.000031499832,0.0008360963],"domain_scores_gemma":[0.99867606,0.00017818683,0.0005202238,0.00041963535,0.00006400894,0.00014187137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003893614,0.0002715112,0.00064524356,0.0010741564,0.00035948475,0.00012994713,0.00037788955,0.00020192406,0.00025296872],"category_scores_gemma":[0.00032441996,0.0003438128,0.00026127376,0.000690553,0.00017345721,0.00036001977,0.00027616782,0.00012840056,0.000054725682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001913167,0.000091159585,0.02031625,0.00007041361,0.000103295526,1.6875453e-7,0.00061306945,0.0002619661,0.000017814973,0.97584784,0.00054499216,0.0021139178],"study_design_scores_gemma":[0.004503071,0.0003004365,0.061718814,0.00019493669,0.000051872412,0.000011643912,0.008852534,0.011484024,0.00070708734,0.7227396,0.18792935,0.0015066657],"about_ca_topic_score_codex":0.0033938119,"about_ca_topic_score_gemma":0.00023008331,"teacher_disagreement_score":0.32397652,"about_ca_system_score_codex":0.0005327068,"about_ca_system_score_gemma":0.00019233541,"threshold_uncertainty_score":0.9999014},"labels":[],"label_agreement":null},{"id":"W4412463432","doi":"10.1016/j.enpol.2025.114763","title":"Limited scientific evidence for decarbonization of energy end-uses and the challenges to learning and empowerment of green hydrogen niches - insights from Canada","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; McGill University","funders":"Environment and Climate Change Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; World Bank Group","keywords":"Empowerment; Niche; Ecological niche; Political science; Economic growth; Sociology; Ecology; Economics; Biology","score_opus":0.021778235565149535,"score_gpt":0.26097083273416344,"score_spread":0.2391925971690139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412463432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96741587,0.027041944,0.00035595387,0.0021658908,0.00030246814,0.00014613976,0.00001961208,0.00003692849,0.002515195],"genre_scores_gemma":[0.9954144,0.0012697865,0.00006986809,0.00020332183,0.00016459714,0.00008983021,0.00002544868,0.00002681767,0.0027359708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818593,0.00031214237,0.00048802042,0.0004503722,0.00030401794,0.0002595236],"domain_scores_gemma":[0.99803674,0.0010524862,0.00023819863,0.0003885824,0.00017415093,0.00010982979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023011654,0.00021606032,0.00044013458,0.00037317295,0.000199685,0.000037246577,0.00027237483,0.00008400661,0.00000382551],"category_scores_gemma":[0.000625804,0.00016778178,0.000056024688,0.00059704774,0.0002536589,0.00009337733,0.0002095658,0.000045525703,7.458752e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035631197,0.00005785926,0.0015420004,0.00020736194,0.00062186824,0.000003942524,0.0035895545,0.06882984,0.045018572,0.8427925,0.00031372812,0.036666427],"study_design_scores_gemma":[0.0029519754,0.00020913908,0.004002254,0.0011798771,0.00021408408,0.0000055056585,0.0014942981,0.014582311,0.6746104,0.0140359355,0.2860859,0.0006283514],"about_ca_topic_score_codex":0.9557869,"about_ca_topic_score_gemma":0.9103343,"teacher_disagreement_score":0.8287566,"about_ca_system_score_codex":0.00012944802,"about_ca_system_score_gemma":0.0007097799,"threshold_uncertainty_score":0.6841942},"labels":[],"label_agreement":null},{"id":"W4412707052","doi":"10.1016/j.enpol.2025.114774","title":"Lessons for regulating flaring and venting: Results from Alberta, Canada","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Environmental science; Natural resource economics; Political science; Engineering; Environmental planning; Economics","score_opus":0.0057442665793128655,"score_gpt":0.21516027545414132,"score_spread":0.20941600887482845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412707052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92985994,0.000056763063,0.00913691,0.0069794357,0.00016706271,0.00009333064,0.00003345896,0.00002512183,0.053647995],"genre_scores_gemma":[0.967188,0.000015816988,0.0062636146,0.0008937288,0.00007010683,0.000010702763,0.000021445678,0.000011059663,0.025525514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923474,0.000012340413,0.0001605143,0.0002679904,0.00009097246,0.0002334469],"domain_scores_gemma":[0.99957454,0.0001265936,0.000058979844,0.00017262055,9.936808e-7,0.000066268105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004710054,0.00010455238,0.00010013093,0.000005212238,0.00017972644,0.000016812994,0.000112538575,0.000045867546,0.000025747355],"category_scores_gemma":[0.000082882994,0.00010675135,0.000024568844,0.00010562471,0.000069369555,0.000053473254,0.00020836273,0.00004245654,0.0000011443356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018240006,0.000096747935,0.06555308,0.000020816136,0.00015240717,0.000008578381,0.0012045979,0.42200035,0.005233025,0.07747059,0.01458074,0.41349667],"study_design_scores_gemma":[0.0017443404,0.000030298906,0.3432734,0.000070622635,0.000048550522,0.000002751349,0.0003909529,0.15267126,0.0024510594,0.010473645,0.48831272,0.00053038105],"about_ca_topic_score_codex":0.9672029,"about_ca_topic_score_gemma":0.8367525,"teacher_disagreement_score":0.473732,"about_ca_system_score_codex":0.0003319697,"about_ca_system_score_gemma":0.000041211144,"threshold_uncertainty_score":0.43531936},"labels":[],"label_agreement":null},{"id":"W4413295584","doi":"10.1016/j.enpol.2025.114821","title":"Mitigation and adaptation: Assessing the multi-value benefits of transmission expansion","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Value (mathematics); Natural resource economics; Economics; Environmental science; Environmental economics; Business; Environmental resource management; Statistics; Mathematics; Psychology","score_opus":0.010232011091203655,"score_gpt":0.25018075540340035,"score_spread":0.2399487443121967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413295584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060150117,0.0035239847,0.931204,0.00049903546,0.00015380807,0.000089098656,0.0000017092706,0.00012901807,0.00424923],"genre_scores_gemma":[0.9919206,0.00034751982,0.0073505477,0.00006132238,0.00004908421,0.0000114043205,0.000008746321,0.000012664984,0.00023809279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947035,0.000046156627,0.0002050796,0.000088723405,0.00008818989,0.00010148766],"domain_scores_gemma":[0.9997304,0.00005804785,0.000036997608,0.00011591665,0.000034974735,0.00002365265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009582731,0.00008209959,0.00009328027,0.00016092007,0.00007190678,0.000024989713,0.000060666396,0.00006383959,0.0000017447343],"category_scores_gemma":[0.00002936015,0.00006683154,0.000021279498,0.0004488305,0.000017282267,0.00013287333,0.000008458682,0.000045397195,2.4976205e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017157473,0.000010182942,0.00009366176,0.00006083639,0.00001961825,1.4583661e-7,0.00072620646,0.7918962,0.007034476,0.03947035,0.000110111534,0.16057649],"study_design_scores_gemma":[0.00026842495,0.000008371805,0.003694478,0.00016379789,0.000013669502,0.0000020445073,0.00006810307,0.965393,0.028510166,0.00023388061,0.0015728516,0.0000712012],"about_ca_topic_score_codex":0.00022341538,"about_ca_topic_score_gemma":0.000013534283,"teacher_disagreement_score":0.9317705,"about_ca_system_score_codex":0.000044526663,"about_ca_system_score_gemma":0.000049608152,"threshold_uncertainty_score":0.27253112},"labels":[],"label_agreement":null},{"id":"W4414309693","doi":"10.1016/j.enpol.2025.114885","title":"Assessing the effectiveness of municipal climate actions: A scoring system for residential energy retrofit initiatives","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Canada First Research Excellence Fund; Concordia University; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Retrofitting; Renewable energy; Climate change; Energy system; Climate change mitigation; Efficient energy use; Energy policy","score_opus":0.01692181775855299,"score_gpt":0.30643072134020194,"score_spread":0.28950890358164894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414309693","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22905953,0.0011695654,0.7192354,0.0000771193,0.0019015853,0.00019197428,0.000025101224,0.0007047512,0.047634967],"genre_scores_gemma":[0.9987572,0.00018611048,0.00051413185,0.000024618754,0.00023106523,0.00017726675,0.000019771669,0.000029000563,0.000060855145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909705,0.00017384173,0.00025152837,0.00014386998,0.000091110545,0.0002426199],"domain_scores_gemma":[0.999102,0.0004903861,0.000066618675,0.00026113843,0.000056040848,0.000023808014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541406,0.00014066634,0.00020493241,0.0002768636,0.00023102135,0.00006927859,0.0001860261,0.00009860913,0.0000013152146],"category_scores_gemma":[0.00007660031,0.00012261537,0.00009451815,0.00052806316,0.00004381881,0.00030047147,0.000059301212,0.0000730398,9.429884e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028366934,0.0000065770478,0.000066120025,0.00021857285,0.000081760416,3.5209334e-7,0.00003655128,0.5015486,0.0026411386,0.49420652,0.00001202155,0.0011534407],"study_design_scores_gemma":[0.0018378312,0.000073968105,0.006836178,0.002427506,0.00019256683,0.000011469453,0.000684831,0.62407094,0.35158193,0.005855673,0.005901456,0.00052566465],"about_ca_topic_score_codex":0.0008757,"about_ca_topic_score_gemma":0.00008437849,"teacher_disagreement_score":0.76969767,"about_ca_system_score_codex":0.00016232164,"about_ca_system_score_gemma":0.00006341313,"threshold_uncertainty_score":0.50001097},"labels":[],"label_agreement":null},{"id":"W4415185736","doi":"10.1016/j.enpol.2025.114902","title":"Peer effects and inequalities in technology uptake. Evidence from a large-scale renovation subsidy programme","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Narodowe Centrum Nauki; European Parliament; European Commission; Canadian Association of Petroleum Producers","keywords":"Peer effects; Inequality; Subsidy; Economic inequality; Microdata (statistics); Peer-to-peer; Renewable energy; Equity (law); Peer review","score_opus":0.03100556406226078,"score_gpt":0.25228229955033016,"score_spread":0.22127673548806936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415185736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94840705,0.0032593613,0.0012961945,0.0195068,0.00021706465,0.00013103301,0.00006780656,0.00008573877,0.027028944],"genre_scores_gemma":[0.9936389,0.00012629776,0.0004472407,0.0013263631,0.00019226052,0.000104427934,0.00002191559,0.000014942433,0.0041276845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859,0.000019120067,0.00052238913,0.00041164138,0.000024139597,0.00043269992],"domain_scores_gemma":[0.99934965,0.00013704141,0.00014523578,0.00029521066,0.000022765737,0.000050083956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041411413,0.00015644413,0.00037570373,0.0010032476,0.00006944209,0.00006102567,0.00018766406,0.00022011677,0.000017188475],"category_scores_gemma":[0.0008225027,0.00018662332,0.000043795077,0.0007684751,0.000085842104,0.00024308254,0.00012896149,0.00014722491,0.000036996484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012870416,0.000045485725,0.12073206,0.000035039877,0.000021381009,0.0000014732134,0.00075699814,0.0000073240735,0.000028124638,0.8733168,0.0008138795,0.0042285407],"study_design_scores_gemma":[0.000741613,0.000047877347,0.15911813,0.00009656173,0.0000035466828,8.8755206e-7,0.00017660423,0.001425131,0.00056212686,0.7832685,0.054344703,0.00021430361],"about_ca_topic_score_codex":0.010091978,"about_ca_topic_score_gemma":0.0020455667,"teacher_disagreement_score":0.09004831,"about_ca_system_score_codex":0.00015736198,"about_ca_system_score_gemma":0.00004591068,"threshold_uncertainty_score":0.9964999},"labels":[],"label_agreement":null},{"id":"W4416632168","doi":"10.1016/j.enpol.2025.114975","title":"Wholesale price prediction: The role of information and transparency","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canada First Research Excellence Fund","keywords":"Transparency (behavior); Competition (biology); Limiting; Electricity market; Electricity; Argument (complex analysis); Balance (ability); Point (geometry)","score_opus":0.0013995927216985267,"score_gpt":0.16749333641100128,"score_spread":0.16609374368930274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416632168","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018512055,0.00560872,0.47315475,0.00072303147,0.00040229163,0.00021860164,0.0000362017,0.0004610355,0.5008833],"genre_scores_gemma":[0.99928254,0.00028654718,0.00010888369,0.000042872205,0.000041403237,0.000016397858,0.000008981133,0.0000037974175,0.00020856403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996645,0.000011495111,0.00016048434,0.000032150725,0.00005522232,0.00007614728],"domain_scores_gemma":[0.99982435,0.000017119428,0.000021783882,0.00010158581,0.00002108452,0.0000140636175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004591149,0.00004868649,0.000056216562,0.0001302517,0.000029635208,0.000012667174,0.00006214725,0.000037428872,0.0000027473454],"category_scores_gemma":[0.0000127008525,0.000040425886,0.000012143256,0.000398453,0.000012026489,0.00016568111,0.000006489975,0.000032154385,8.7076313e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010892236,0.00001888221,0.0020017966,0.00020782938,0.00012959082,1.3249034e-7,0.003408843,0.3085151,0.0027439557,0.5381199,0.0035912923,0.14125177],"study_design_scores_gemma":[0.00062078657,0.000046010777,0.013951183,0.000109305416,0.000037669015,0.000008760443,0.00022663861,0.56869006,0.026808484,0.004564432,0.38475326,0.00018341572],"about_ca_topic_score_codex":0.00017882894,"about_ca_topic_score_gemma":0.00000996844,"teacher_disagreement_score":0.9807705,"about_ca_system_score_codex":0.000029867002,"about_ca_system_score_gemma":0.00002791485,"threshold_uncertainty_score":0.16485198},"labels":[],"label_agreement":null},{"id":"W4417216004","doi":"10.1016/j.enpol.2025.115006","title":"The political economy of green industrial policy in liberal states","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Fonds de Recherche du Québec-Société et Culture; Fonds de recherche du Québec","keywords":"Industrial policy; Legitimation; Argument (complex analysis); Politics; Industrial Revolution; Liberalism","score_opus":0.011461769994528644,"score_gpt":0.25834054417398783,"score_spread":0.2468787741794592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417216004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62210405,0.00005547855,0.000006362909,0.08510115,0.000071383,0.00009873285,0.000019618636,0.000018378218,0.29252487],"genre_scores_gemma":[0.9871506,0.000033206685,0.000007454861,0.004502008,0.00026016365,0.00003062193,0.0000037536793,0.0000068260656,0.00800536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891394,0.00007981636,0.0002451903,0.00017884916,0.00009784841,0.0004843323],"domain_scores_gemma":[0.9994181,0.00018840037,0.000057539823,0.0002573461,0.0000059961553,0.000072643255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014309202,0.00010136422,0.00013396799,0.000077628225,0.00008102379,0.000020137197,0.00031257974,0.00008344707,0.00008831564],"category_scores_gemma":[0.0001935045,0.00007948139,0.000051244962,0.00047182813,0.00041849737,0.00010384328,0.0002768817,0.000105822284,0.000008566924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043882912,0.00006187279,0.025994813,0.000007482995,0.0000079719275,0.00000195927,0.00064943795,0.00017801093,0.000028149923,0.9606454,0.002852538,0.00952848],"study_design_scores_gemma":[0.0006457122,0.000047183075,0.03333522,0.000014886924,0.0000038132266,0.0000012278676,0.0018439572,0.00024277318,0.0017027468,0.76525444,0.19677751,0.00013050988],"about_ca_topic_score_codex":0.0943623,"about_ca_topic_score_gemma":0.007537971,"teacher_disagreement_score":0.3650466,"about_ca_system_score_codex":0.0007462732,"about_ca_system_score_gemma":0.00017341142,"threshold_uncertainty_score":0.9116684},"labels":[],"label_agreement":null},{"id":"W609929272","doi":"10.1016/j.enpol.2015.05.024","title":"Measuring the competitiveness benefits of a transmission investment policy: The case of the Alberta electricity market","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity market; Market power; Electricity; Investment (military); Competition (biology); Economics; Market clearing; Electricity retailing; Industrial organization; Clearing; Transmission (telecommunications); Business; Microeconomics; Finance; Telecommunications; Monopoly","score_opus":0.014706902174986847,"score_gpt":0.2102365265970255,"score_spread":0.19552962442203864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W609929272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6371061,0.009683273,0.029718835,0.009256943,0.0008383818,0.0015717976,0.00006925713,0.0003013423,0.31145403],"genre_scores_gemma":[0.99882126,0.00010461017,0.000048849746,0.00019391651,0.00015229915,0.000028849337,0.0000016353257,0.000031049618,0.0006175318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878013,0.00029043137,0.00031339432,0.0001173833,0.00023530722,0.00026333088],"domain_scores_gemma":[0.99902624,0.00021765345,0.00011380977,0.00046260632,0.00010023486,0.00007945312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003897439,0.00016395429,0.000198925,0.00014134677,0.00009892876,0.000014289879,0.00039038504,0.000070278,0.0000070179126],"category_scores_gemma":[0.00018261529,0.00008728984,0.00008800281,0.0011880711,0.00006453379,0.00006036712,0.00004973725,0.000112557136,6.1062985e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044552304,0.00008046344,0.0002503439,0.000113392576,0.00020945068,0.0000055884725,0.0050231647,0.7311124,0.0018402174,0.24614434,0.001054406,0.014121688],"study_design_scores_gemma":[0.0029841799,0.0002872654,0.009728591,0.00069708127,0.00025652113,0.0014741248,0.0005385871,0.5907814,0.3280819,0.004332368,0.059846386,0.0009916164],"about_ca_topic_score_codex":0.032614414,"about_ca_topic_score_gemma":0.0019334642,"teacher_disagreement_score":0.3617151,"about_ca_system_score_codex":0.00021533205,"about_ca_system_score_gemma":0.000259723,"threshold_uncertainty_score":0.9738275},"labels":[],"label_agreement":null},{"id":"W618873472","doi":"10.1016/j.enpol.2015.01.019","title":"Gauging citizen support for a low carbon fuel standard","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Opposition (politics); Politics; Sample (material); Demographics; Political science; Public administration; Sociology; Demography; Law","score_opus":0.01719738941651927,"score_gpt":0.26119409272720706,"score_spread":0.2439967033106878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618873472","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11955511,0.00042663794,0.005847593,0.0027049403,0.00074967777,0.00021116703,0.0002601537,0.00055803126,0.86968666],"genre_scores_gemma":[0.9757436,0.00014310739,0.0008216146,0.001977926,0.0011788723,0.0001380756,0.00025703167,0.000094942196,0.019644856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826235,0.00004444753,0.00037618048,0.0003461998,0.0003579531,0.00061284465],"domain_scores_gemma":[0.99898875,0.000051982883,0.00012930963,0.0004017248,0.00006507343,0.00036315585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018156681,0.00027879633,0.0003184167,0.00026441473,0.0000854893,0.000041367566,0.00021720176,0.00013998707,0.0001309277],"category_scores_gemma":[0.000058557558,0.0002808541,0.00015167367,0.00024185404,0.00011226317,0.00011719464,0.000027172056,0.00007692421,0.00001721209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001398819,0.00006511824,0.000505368,0.000039439983,0.00010433114,0.00001562612,0.0017171806,0.02789195,0.0006494528,0.9601501,0.0027412728,0.0059802546],"study_design_scores_gemma":[0.0025728408,0.00024810777,0.0013105627,0.000020846077,0.00005199323,0.000009429948,0.00026827952,0.00066980347,0.011760761,0.034618795,0.9479568,0.00051175634],"about_ca_topic_score_codex":0.016935648,"about_ca_topic_score_gemma":0.0033718406,"teacher_disagreement_score":0.9452155,"about_ca_system_score_codex":0.00021531596,"about_ca_system_score_gemma":0.00026830685,"threshold_uncertainty_score":0.99996436},"labels":[],"label_agreement":null},{"id":"W638866279","doi":"10.1016/j.enpol.2015.05.004","title":"Macroeconomic impacts of oil price shocks in Asian economies","year":2015,"lang":"en","type":"article","venue":"Energy Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Ministerio de Educación, Cultura y Deporte","keywords":"Shock (circulatory); Oil supply; Economics; Demand shock; Oil price; Supply shock; Exchange rate; Monetary economics; Macroeconomics; Vector autoregression; Supply and demand; Monetary policy","score_opus":0.020433933448981978,"score_gpt":0.23664179936729587,"score_spread":0.2162078659183139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638866279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60694385,0.00036894335,0.00010057867,0.001054656,0.00016897303,0.000023656383,0.00010440853,0.000015127338,0.3912198],"genre_scores_gemma":[0.99585366,0.00018003581,0.00021361752,0.00026608567,0.00016712608,0.000011889037,0.000015837088,0.000022821765,0.0032689148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985484,0.000021513519,0.0007328111,0.00031765882,0.000020026506,0.00035959517],"domain_scores_gemma":[0.9989976,0.000030865303,0.00035038922,0.00041239045,0.000020670153,0.00018803407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005933168,0.00016045412,0.00046735778,0.00053105404,0.000022535685,0.000034823235,0.00026952388,0.000119431126,0.00020786197],"category_scores_gemma":[0.00019744148,0.00019681884,0.000098929784,0.00024533228,0.00006414271,0.00021589082,0.00010047889,0.000095424846,0.000045971996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004654353,0.000096143696,0.35356274,0.000030295265,0.000034892404,0.0000020834507,0.00064984494,0.00022326024,0.0000047911963,0.63959134,0.00061569264,0.0051424038],"study_design_scores_gemma":[0.0031390418,0.00018614651,0.30856606,0.00003997706,0.0000053160184,0.0000117768905,0.0003054224,0.06800059,0.00017285591,0.38157764,0.2370542,0.00094097684],"about_ca_topic_score_codex":0.019452842,"about_ca_topic_score_gemma":0.003843884,"teacher_disagreement_score":0.38890982,"about_ca_system_score_codex":0.00040012147,"about_ca_system_score_gemma":0.00015991039,"threshold_uncertainty_score":0.9870767},"labels":[],"label_agreement":null},{"id":"W6902892488","doi":"10.1016/j.enpol.2025.114770","title":"What drives consumers to switch retailers? Evidence from the Alberta electricity market","year":2025,"lang":"en","type":"article","venue":"Energy Policy","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Calgary; SGS (Canada)","funders":"","keywords":"Electricity; Preference; Electricity retailing; Product (mathematics); Consumer behaviour; Consumption (sociology); Consumer demand","score_opus":0.01771086360323091,"score_gpt":0.26381287639662043,"score_spread":0.24610201279338953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902892488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81358725,0.002952964,0.0004507617,0.07095907,0.0018377488,0.0003672192,0.000003685691,0.00020357758,0.109637715],"genre_scores_gemma":[0.959657,0.00052904466,0.000030769013,0.021020647,0.00068541535,0.000046793062,0.0000099131985,0.000022082913,0.017998299],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858975,0.00005771423,0.00027458076,0.00041861468,0.00022167218,0.00043764117],"domain_scores_gemma":[0.998129,0.0010583506,0.00011120336,0.0005735542,0.000100751895,0.000027154427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032812994,0.00024074367,0.00023259646,0.000345334,0.00034350678,0.00087727746,0.00065580907,0.00007895064,0.0008381048],"category_scores_gemma":[0.0010563255,0.00018957579,0.00011505522,0.0016558429,0.000064957094,0.0012351882,0.0004259898,0.00016296929,0.00010678643],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032029575,0.000076168515,0.32112882,0.000053374035,0.00022217663,0.000012229411,0.0005711758,0.000031098676,0.003199006,0.03126866,0.18767595,0.45544103],"study_design_scores_gemma":[0.00029770992,0.0000049499695,0.34608617,0.00043999168,0.00018890711,6.3757847e-7,0.00036048438,0.0007397597,0.0004440849,0.0022618857,0.64880145,0.0003739497],"about_ca_topic_score_codex":0.2229135,"about_ca_topic_score_gemma":0.029943448,"teacher_disagreement_score":0.46112552,"about_ca_system_score_codex":0.000062461724,"about_ca_system_score_gemma":0.000118635966,"threshold_uncertainty_score":0.98775756},"labels":[],"label_agreement":null}]}