{"meta":{"query_hash":"3981c232b8d6","filters":{"venue":"International Journal of Global Energy Issues"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/3981c232b8d6","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Global+Energy+Issues"},"results":[{"id":"W1969310517","doi":"10.1504/ijgei.2005.006949","title":"Canada's efforts towards greenhouse gas emission reduction: a case study on the limits of voluntary action and subsidies","year":2005,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Kyoto Protocol; Greenhouse gas; Incentive; Climate change; Voluntarism (philosophy); Economics; Energy policy; Climate change mitigation; Government (linguistics); Business; Public economics; International trade; Natural resource economics; Economic policy; International economics; Renewable energy; Market economy; Engineering","score_opus":0.07980102739188998,"score_gpt":0.3088823830351557,"score_spread":0.2290813556432657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969310517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65357614,0.0034248575,0.0027690069,0.036702603,0.00012534588,0.0003241302,0.00044580194,0.00010065361,0.30253145],"genre_scores_gemma":[0.97211784,0.0017449125,0.0019370359,0.0025785295,0.00001801615,0.00006014674,0.00011451112,0.000023262483,0.02140581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99321246,0.0012778,0.000098718934,0.00027526522,0.002335826,0.0027999505],"domain_scores_gemma":[0.9955319,0.0014764393,0.00022137129,0.0001588216,0.0015761412,0.0010352952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003167472,0.000396762,0.00037326006,0.0016962069,0.026743168,0.0054849894,0.0020597214,0.004751426,0.0024817975],"category_scores_gemma":[0.007156914,0.00029691463,0.0006110933,0.0042307535,0.004600687,0.0011072699,0.0026244186,0.00330419,0.00015827948],"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":[0.0003664228,0.0006865673,0.065508604,0.0006859776,0.00017031633,0.018575467,0.067265704,0.018049665,0.0033614093,0.6081197,0.09207146,0.12513861],"study_design_scores_gemma":[0.00022404826,0.0003036016,0.09725357,0.0006697887,0.00031105604,0.0026035216,0.15817806,0.013974438,0.0038157734,0.021466041,0.70093596,0.00026419637],"about_ca_topic_score_codex":0.9915861,"about_ca_topic_score_gemma":0.99551684,"teacher_disagreement_score":0.09874581,"about_ca_system_score_codex":0.09874581,"about_ca_system_score_gemma":0.17503835,"threshold_uncertainty_score":0.7164543},"labels":[],"label_agreement":null},{"id":"W2058418958","doi":"10.1504/ijgei.2003.003969","title":"Effects of socioeconomic factors on household appliance, lighting, and space cooling electricity consumption","year":2003,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Multicollinearity; Consumption (sociology); Energy consumption; Electricity; Environmental economics; Econometrics; Computer science; Engineering; Economics; Environmental health; Regression analysis; Machine learning; Medicine","score_opus":0.006367801614696401,"score_gpt":0.22383857074182195,"score_spread":0.21747076912712554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058418958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943487,0.00015487625,0.00097117043,0.00013198932,0.00000568009,0.000019524281,0.00049754523,0.000009225273,0.0038612112],"genre_scores_gemma":[0.99857366,0.00012484763,0.00020423536,0.000007824535,0.0000015788602,0.000005907328,0.0001418864,0.0000015835923,0.00093847606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943644,0.00023008515,0.000019520845,0.00004201438,0.000108520784,0.00016338805],"domain_scores_gemma":[0.99889475,0.00060792355,0.00012053323,0.000056323872,0.00020627091,0.000114313116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077153655,0.00035942107,0.00023847939,0.00029763338,0.00030905264,0.00048808297,0.00023978196,0.0002695118,0.003980415],"category_scores_gemma":[0.0022762832,0.00015251349,0.0009123294,0.00043523498,0.00042491456,0.0003006645,0.0005628298,0.00033421838,0.00019851858],"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":[0.0006808005,0.0002933599,0.90447736,0.000057327212,0.00050521345,0.00051963964,0.00024339784,0.07217062,0.0024450363,0.0031100556,0.0004989722,0.014998245],"study_design_scores_gemma":[0.00001862418,0.00022132827,0.9534885,0.000013026296,0.00024244026,0.00008648853,0.00032339565,0.042663272,0.0012081803,0.00080820895,0.0009076337,0.000018985025],"about_ca_topic_score_codex":0.24447824,"about_ca_topic_score_gemma":0.28671587,"teacher_disagreement_score":0.24447824,"about_ca_system_score_codex":0.0019274097,"about_ca_system_score_gemma":0.001752934,"threshold_uncertainty_score":0.4861104},"labels":[],"label_agreement":null},{"id":"W2075151358","doi":"10.1504/ijgei.2012.051709","title":"Do traders' positions predict oil futures prices? A case study of the 2008 oil market turbulence","year":2012,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Economics; Predictability; Oil-storage trade; Financial economics; Position (finance); Futures market; Oil price; Crude oil; Quarter (Canadian coin); Monetary economics; Econometrics; Finance","score_opus":0.015926748668054876,"score_gpt":0.2623441556709523,"score_spread":0.24641740700289744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075151358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993395,0.000024390758,0.00019462177,0.00009927877,0.0000013008224,0.0000035002463,0.000031447315,0.0000027026842,0.00030317568],"genre_scores_gemma":[0.99938786,0.000038537288,0.00035653793,0.000009384148,0.0000036995527,0.0000025444167,0.000059544785,0.0000010632968,0.00014080472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995523,0.00021626533,0.000033163655,0.000056922137,0.00008113478,0.000060261995],"domain_scores_gemma":[0.99375546,0.0048248563,0.00073355745,0.00023658034,0.00030555887,0.00014408247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013280179,0.00024300037,0.00030172698,0.00074917404,0.00052816793,0.0007336103,0.00039434474,0.0008283313,0.0007489274],"category_scores_gemma":[0.006503,0.0002173087,0.0004146575,0.000848645,0.0005589107,0.0011289567,0.00047249373,0.00073067355,0.00014963737],"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":[0.0006945023,0.00075906,0.9376043,0.000051179588,0.0001699588,0.005443622,0.0025188676,0.030047353,0.0030262552,0.0030890403,0.0009945583,0.015601273],"study_design_scores_gemma":[0.00018998496,0.0010789258,0.6451806,0.000030452602,0.00017942696,0.0016835146,0.007338462,0.33440152,0.0045351777,0.0030071572,0.0022779342,0.00009696526],"about_ca_topic_score_codex":0.014383545,"about_ca_topic_score_gemma":0.016351413,"teacher_disagreement_score":0.014383545,"about_ca_system_score_codex":0.0005834956,"about_ca_system_score_gemma":0.00038254526,"threshold_uncertainty_score":0.02859968},"labels":[],"label_agreement":null},{"id":"W2598109358","doi":"10.1504/ijgei.1991.063683","title":"Is it possible and expedient to create a global energy network","year":2014,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric power transmission; Electricity; Power transmission; Electric power; Electric power system; Submarine; Transmission (telecommunications); China; Transmission system; Power (physics); Electrical engineering; Telecommunications; Engineering; Geography; Marine engineering","score_opus":0.008173245644846032,"score_gpt":0.27093201904768377,"score_spread":0.26275877340283776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598109358","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07919409,0.010385324,0.28214008,0.14034763,0.0055624614,0.00053289667,0.00064019294,0.0018291535,0.47936815],"genre_scores_gemma":[0.56809723,0.02017434,0.34487602,0.009355081,0.0016595947,0.00050502096,0.0008679196,0.00048693168,0.053977925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880064,0.00043712536,0.000046140012,0.00018519674,0.00027664666,0.00025421582],"domain_scores_gemma":[0.9975164,0.0006421093,0.00031101992,0.00063651934,0.00045374045,0.00044020117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028977052,0.00039332954,0.00032938184,0.0006701912,0.0012253025,0.003045434,0.0008226768,0.002621284,0.013893308],"category_scores_gemma":[0.0047742007,0.00025257052,0.00039014613,0.0007682827,0.0016932648,0.010453774,0.00265012,0.0010715374,0.00522261],"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":[0.00010065518,0.00014757812,0.0031971408,0.0006171484,0.000058165766,0.00032614163,0.00066718645,0.012174741,0.0033432385,0.63916796,0.053380445,0.28681964],"study_design_scores_gemma":[0.00005038439,0.00013892088,0.0016566159,0.00036945633,0.00003098148,0.0003348927,0.0014224086,0.0036341394,0.0017799312,0.22057742,0.76996475,0.00004018316],"about_ca_topic_score_codex":0.0009845828,"about_ca_topic_score_gemma":0.0013893864,"teacher_disagreement_score":0.013893308,"about_ca_system_score_codex":0.0008578684,"about_ca_system_score_gemma":0.0019120505,"threshold_uncertainty_score":0.046477735},"labels":[],"label_agreement":null},{"id":"W2600943604","doi":"","title":"Bioenergy research and development in an energy land of plenty","year":2014,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioenergy; Agricultural economics; Natural resource economics; Population; Energy intensity; Fossil fuel; Energy source; Energy policy; Business; Economics; Biofuel; Renewable energy; Environmental protection; Geography; Efficient energy use; Engineering","score_opus":0.028237667419053276,"score_gpt":0.32686957812861434,"score_spread":0.2986319107095611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600943604","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22338346,0.059973825,0.0026968056,0.26904368,0.002336657,0.00018921315,0.0024022318,0.00057497545,0.43939924],"genre_scores_gemma":[0.51045805,0.020933328,0.0061460985,0.017583711,0.0003016081,0.000046731773,0.0015174879,0.000088274785,0.4429248],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988269,0.00008678097,0.000026104004,0.0000825205,0.0005648354,0.00041277686],"domain_scores_gemma":[0.9978321,0.00013581944,0.000082377876,0.00010061626,0.0007219315,0.0011270868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010225611,0.00023214857,0.00022596311,0.0013444613,0.008314005,0.0050937906,0.00092557713,0.001233567,0.013116685],"category_scores_gemma":[0.0012539708,0.0002002453,0.00027155224,0.0019855232,0.0025231277,0.0016888019,0.002113683,0.0012803552,0.0015947942],"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":[0.0006566562,0.00040370013,0.05080328,0.0011380262,0.00009781812,0.007781802,0.0074667116,0.0007052207,0.028207645,0.13077721,0.30875683,0.4632051],"study_design_scores_gemma":[0.000016293032,0.00006992963,0.045173783,0.00024191578,0.000012649553,0.00041749625,0.0044428534,0.00020945414,0.0026035348,0.0024379399,0.9443559,0.000018240216],"about_ca_topic_score_codex":0.7399212,"about_ca_topic_score_gemma":0.94658023,"teacher_disagreement_score":0.7399212,"about_ca_system_score_codex":0.0240384,"about_ca_system_score_gemma":0.09430133,"threshold_uncertainty_score":0.5232209},"labels":[],"label_agreement":null},{"id":"W2606299230","doi":"10.1504/ijgei.1997.063347","title":"Thermal energy storage applications from an energy saving perspective","year":2014,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Phase Change Materials Research","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":"University of Victoria","funders":"","keywords":"Thermal energy storage; Energy recovery; Process engineering; Energy (signal processing); Thermal energy; Energy storage; Component (thermodynamics); Thermal; Computer science; Efficient energy use; Energy conservation; Environmental science; Engineering; Electrical engineering; Thermodynamics; Power (physics); Physics","score_opus":0.013020814962141558,"score_gpt":0.3105783278287636,"score_spread":0.297557512866622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606299230","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21701366,0.14422692,0.37489098,0.006808217,0.0014821773,0.00034963927,0.0010508709,0.0013793269,0.25279814],"genre_scores_gemma":[0.83970153,0.04825697,0.06725441,0.00047910563,0.0003850761,0.00014691666,0.00034174565,0.00016595513,0.043268368],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998281,0.000029659668,0.0000108196855,0.000023371098,0.00008722567,0.000020741321],"domain_scores_gemma":[0.99988866,0.000039354232,0.00001091256,0.000015436197,0.00004050481,0.000005095933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025806422,0.00039178715,0.00039718434,0.00055928243,0.0003287309,0.0012655105,0.00053564826,0.00074626185,0.0043200464],"category_scores_gemma":[0.000339361,0.00016976004,0.00024343585,0.0009340424,0.00044544318,0.001466006,0.000535931,0.00046395513,0.0010115621],"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":[0.00026247028,0.00012037731,0.0014468834,0.0036133057,0.000050337225,0.000739241,0.0005153785,0.03264412,0.44219738,0.18611021,0.007819682,0.32448056],"study_design_scores_gemma":[0.000017282677,0.0005367072,0.0015368732,0.00062710553,0.000069797665,0.0023499888,0.0008176817,0.04820955,0.57584983,0.04553508,0.3243737,0.00007644595],"about_ca_topic_score_codex":0.00022728443,"about_ca_topic_score_gemma":0.00047890446,"teacher_disagreement_score":0.0043200464,"about_ca_system_score_codex":0.000318281,"about_ca_system_score_gemma":0.00023868935,"threshold_uncertainty_score":0.01445204},"labels":[],"label_agreement":null},{"id":"W2905872407","doi":"10.1504/ijgei.2018.10018218","title":"A bibliometric analysis of research on the energy-water nexus from 1963 to 2016 based on SCI-E/SSCI databases","year":2018,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Renewable energy; Web of science; China; Bibliometrics; Perspective (graphical); Field (mathematics); Water-energy nexus; Database; Political science; Library science; Engineering; Computer science","score_opus":0.06482332153456268,"score_gpt":0.3773011012925718,"score_spread":0.31247777975800917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905872407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65515876,0.10115872,0.0029395192,0.0023568084,0.00030089394,0.00093492185,0.19369802,0.00030919936,0.04314314],"genre_scores_gemma":[0.83993423,0.06082377,0.007535428,0.0002023939,0.00034544923,0.0011617362,0.0874797,0.000064418346,0.0024528382],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98785967,0.0017597177,0.0036481244,0.0009294771,0.0051690754,0.00063394196],"domain_scores_gemma":[0.95249045,0.024777407,0.011105859,0.001175291,0.009347674,0.0011032765],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0063933013,0.0007550918,0.001941986,0.2727878,0.0016309982,0.0046711843,0.0006644546,0.00074077136,0.0034524768],"category_scores_gemma":[0.034876652,0.00027433172,0.0017010123,0.37878707,0.0009287224,0.0034803436,0.0028171034,0.00048025214,0.00074804184],"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":[0.00065507303,0.00022457563,0.5489651,0.044014405,0.0023617065,0.0017305544,0.009729519,0.002668685,0.004135472,0.010482728,0.023325566,0.35170653],"study_design_scores_gemma":[0.00004014631,0.0002109157,0.88978004,0.0057976716,0.0015599282,0.0011859919,0.011967195,0.0018637289,0.0016570751,0.0021377846,0.08369246,0.000106983345],"about_ca_topic_score_codex":0.017223686,"about_ca_topic_score_gemma":0.022662893,"teacher_disagreement_score":0.9936067,"about_ca_system_score_codex":0.0047518364,"about_ca_system_score_gemma":0.008767054,"threshold_uncertainty_score":0.034477115},"labels":[],"label_agreement":null},{"id":"W3160878789","doi":"10.1504/ijgei.2021.10037748","title":"Econometric evaluation of large weather events due to climate change: floods in Atlantic Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Climate change; Storm surge; Winter storm; Flooding (psychology); Flood myth; Storm; Climatology; Environmental science; Severe weather; Extreme weather; Atlantic hurricane; Coastal flood; Thunderstorm; Tornado; Meteorology; Geography; Sea level rise; Oceanography; Geology","score_opus":0.01483331469952418,"score_gpt":0.31189623391656063,"score_spread":0.2970629192170364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160878789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940294,0.00021405218,0.0009786458,0.000657742,0.000011064367,0.000036026322,0.0022676545,0.00002693339,0.0017785882],"genre_scores_gemma":[0.99709105,0.00016765115,0.00023975536,0.00002815639,0.000007607429,0.0000062202153,0.0013459758,0.000003891847,0.0011096626],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912137,0.00019547837,0.000046390924,0.00010580958,0.00019100585,0.0003399535],"domain_scores_gemma":[0.99372673,0.0036376212,0.0008048583,0.0001921569,0.00093793566,0.0007006738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016460873,0.00031897938,0.00039444191,0.001038,0.00062582514,0.0014695016,0.00094831584,0.00057815865,0.0025252625],"category_scores_gemma":[0.008612453,0.0002282441,0.0006550727,0.00224475,0.0009096144,0.000525046,0.0007780403,0.0011201501,0.00013069737],"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":[0.0003742055,0.00016475795,0.71919453,0.000049290218,0.00025174583,0.00039204233,0.00019910178,0.26419947,0.00032484697,0.0033761,0.0027390246,0.008734867],"study_design_scores_gemma":[0.00004064889,0.00009703711,0.4811999,0.000021197895,0.00010361493,0.00005910054,0.001157697,0.5144175,0.00021523943,0.0011638287,0.0014744689,0.00004960786],"about_ca_topic_score_codex":0.96974105,"about_ca_topic_score_gemma":0.9586882,"teacher_disagreement_score":0.030258954,"about_ca_system_score_codex":0.015168364,"about_ca_system_score_gemma":0.010109814,"threshold_uncertainty_score":0.11005467},"labels":[],"label_agreement":null},{"id":"W4239669787","doi":"10.1504/ijgei.2021.115149","title":"Econometric evaluation of large weather events due to climate change: floods in Atlantic Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Global Energy Issues","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Climate change; Storm surge; Winter storm; Flood myth; Flooding (psychology); Storm; Climatology; Environmental science; Severe weather; Extreme weather; Coastal flood; Thunderstorm; Tornado; Atlantic hurricane; Meteorology; Geography; Sea level rise; Oceanography; Geology","score_opus":0.01483331469952418,"score_gpt":0.31189623391656063,"score_spread":0.2970629192170364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239669787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940294,0.00021405218,0.0009786458,0.000657742,0.000011064367,0.000036026322,0.0022676545,0.00002693339,0.0017785882],"genre_scores_gemma":[0.99709105,0.00016765115,0.00023975536,0.00002815639,0.000007607429,0.0000062202153,0.0013459758,0.000003891847,0.0011096626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912137,0.00019547837,0.000046390924,0.00010580958,0.00019100585,0.0003399535],"domain_scores_gemma":[0.99372673,0.0036376212,0.0008048583,0.0001921569,0.00093793566,0.0007006738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016460873,0.00031897938,0.00039444191,0.001038,0.00062582514,0.0014695016,0.00094831584,0.00057815865,0.0025252625],"category_scores_gemma":[0.008612453,0.0002282441,0.0006550727,0.00224475,0.0009096144,0.000525046,0.0007780403,0.0011201501,0.00013069737],"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":[0.0003742055,0.00016475795,0.71919453,0.000049290218,0.00025174583,0.00039204233,0.00019910178,0.26419947,0.00032484697,0.0033761,0.0027390246,0.008734867],"study_design_scores_gemma":[0.00004064889,0.00009703711,0.4811999,0.000021197895,0.00010361493,0.00005910054,0.001157697,0.5144175,0.00021523943,0.0011638287,0.0014744689,0.00004960786],"about_ca_topic_score_codex":0.96974105,"about_ca_topic_score_gemma":0.9586882,"teacher_disagreement_score":0.030258954,"about_ca_system_score_codex":0.015168364,"about_ca_system_score_gemma":0.010109814,"threshold_uncertainty_score":0.11005467},"labels":[],"label_agreement":null}]}