{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":18,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":18,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"26d58bf5e5c8","filters":{"venue":"Energy Sources Part B Economics Planning and Policy"}},"results":[{"id":"W2023118671","doi":"10.1080/15567240600814896","title":"Analyzing Sustainability of Community-based Energy Technologies","year":2007,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Sustainability; Environmental economics; Environmental resource management; Citizen journalism; Social sustainability; Energy (signal processing); Business; Renewable energy; Sustainable development; Sustainability organizations; Environmental planning; Natural resource economics; Computer science; Engineering; Economics; Political science; Environmental science; Ecology","authors":[{"name":"M. I. Khan","is_ca":true},{"name":"A. Chhetri","is_ca":true},{"name":"M. R. Islam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01489159991158789,"gpt":0.2499702109555768,"spread":0.2350786110439889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006135312,0.0001766315,0.0002237247,0.0001580335,0.0003170459,0.00002263312,0.0002475985,0.0001491505,0.000027574],"category_scores_gemma":[0.00007374624,0.0001773605,0.00005629044,0.00017061,0.0005562332,0.000123557,0.0002213334,0.0001560894,0.000001880438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795453,"about_ca_system_score_gemma":0.00002194537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0055565,"about_ca_topic_score_gemma":0.0004464911,"domain_scores_codex":[0.9989935,0.0000781873,0.0003001457,0.0001742211,0.00005462841,0.0003993119],"domain_scores_gemma":[0.9990851,0.0002663264,0.0001742689,0.0003617069,0.00000389757,0.0001086873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007735347,0.0001278226,0.2672872,0.00002156944,0.00004437268,0.000004198619,0.001264238,0.6588975,0.0001576546,0.01880481,0.0004270907,0.05288615],"study_design_scores_gemma":[0.001134534,0.0004898609,0.1020131,0.00005850252,0.00005259126,0.0000214819,0.005203189,0.003539077,0.04545039,0.03931631,0.8016454,0.001075532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862801,0.0001423325,0.005041261,0.0005145786,0.00002900951,0.00001719274,0.000006178358,0.00007790699,0.007891428],"genre_scores_gemma":[0.9987577,0.00008331401,0.0002324586,0.0004641394,0.00004824089,0.000003712746,0.00002352042,0.0000148111,0.0003721476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8012183,"threshold_uncertainty_score":0.8399803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117076741","doi":"10.1080/15567240600629534","title":"Community-based Energy Model: A Novel Approach to Developing Sustainable Energy","year":2007,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental economics; Stove; Renewable energy; Energy management; Sustainable development; Business; Natural resource; Sustainability; Energy engineering; Environmental resource management; Component (thermodynamics); Zero-energy building; Energy (signal processing); Environmental science; Engineering; Economics; Waste management; Ecology","authors":[{"name":"M. I. Khan","is_ca":true},{"name":"A. Chhetri","is_ca":true},{"name":"M. R. Islam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02984466032040072,"gpt":0.2436294405033834,"spread":0.2137847801829827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006676653,0.0003547689,0.0003044672,0.0002518111,0.0008347262,0.0001103191,0.0004022723,0.0001970482,0.00001651927],"category_scores_gemma":[0.00002882422,0.0003784439,0.00006706425,0.0002680025,0.0001964163,0.0002484727,0.000421325,0.0001828859,0.00000698767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004165266,"about_ca_system_score_gemma":0.00006598498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320704,"about_ca_topic_score_gemma":0.0005314637,"domain_scores_codex":[0.9980471,0.00006341947,0.0003773415,0.000418131,0.0001195516,0.0009744685],"domain_scores_gemma":[0.9987969,0.0001394697,0.0001425968,0.0004195921,0.00000555839,0.0004959243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004980423,0.00009155028,0.001255977,0.000007816837,0.00002328225,0.000002709354,0.001105783,0.8980861,0.0001390194,0.0967343,0.001091847,0.001411833],"study_design_scores_gemma":[0.0006544534,0.000107202,0.001550903,0.00002741019,0.00001666792,0.00002436932,0.0007711117,0.0608445,0.00416613,0.003607419,0.9274178,0.0008120209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5814348,0.00008620437,0.3172109,0.0006388679,0.00005379365,0.00003956602,0.00001212543,0.0001092365,0.1004145],"genre_scores_gemma":[0.9720307,0.00004697337,0.006131881,0.01171334,0.000215263,0.00002579161,0.0001044762,0.00005698088,0.009674614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.926326,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007145192","doi":"10.1080/15567249.2020.1729900","title":"Clean energy consumption and economic growth nexus: asymmetric time and frequency domain causality testing in China","year":2020,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Nexus (standard); Causality (physics); Economics; Energy consumption; Consumption (sociology); Econometrics; China; Linkage (software); Macroeconomics; Chemistry; Computer science","authors":[{"name":"Andisheh Saliminezhad","is_ca":false},{"name":"Pejman Bahramian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02765063504207313,"gpt":0.2163881270115909,"spread":0.1887374919695178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005548775,0.0004461756,0.0008352177,0.0006301535,0.000235153,0.0002366529,0.0002238046,0.0002535608,0.00005840572],"category_scores_gemma":[0.0001422575,0.0005987701,0.00006641578,0.000185749,0.0002728574,0.0004756456,0.0002447423,0.0002298389,0.00005502554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571577,"about_ca_system_score_gemma":0.00004341162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130635,"about_ca_topic_score_gemma":0.0003684667,"domain_scores_codex":[0.9971375,0.00007254403,0.00106277,0.001095155,0.00002199385,0.0006100533],"domain_scores_gemma":[0.9983631,0.0002583372,0.000655088,0.0002760268,0.000004972008,0.0004424291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002887349,0.00002758404,0.6451364,0.00003863951,0.00009144029,0.000007598649,0.001269086,0.004083226,0.00001888751,0.3470867,0.0001516313,0.002059905],"study_design_scores_gemma":[0.004440373,0.0005342931,0.6364266,0.0001149385,0.00004271762,0.0001404484,0.0004112871,0.09586252,0.0002948742,0.2262371,0.03281786,0.002677017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766147,0.003140029,0.0002173095,0.001414448,0.0001065655,0.00008073334,0.0002370719,0.00007102086,0.01811817],"genre_scores_gemma":[0.9950909,0.001860753,0.0007140724,0.001424816,0.0005877371,0.0000261139,0.0000769297,0.00007622772,0.0001424762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208496,"threshold_uncertainty_score":0.9996464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021055895","doi":"10.1080/15567240701231958","title":"Integrated Capacity Planning for Electricity Generation: A Fuzzy Environmental Policy Analysis Approach","year":2008,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina","funders":"","keywords":"Fuzzy logic; Electricity; Environmental economics; Computer science; Electricity generation; Business; Operations research; Environmental planning; Environmental science; Engineering; Economics; Artificial intelligence; Power (physics); Electrical engineering","authors":[{"name":"Fuzhan Nasiri","is_ca":true},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02862552782374567,"gpt":0.2028124466511671,"spread":0.1741869188274215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009684254,0.0002492889,0.0003083361,0.0006831986,0.0003436821,0.00009700008,0.0001231131,0.0001156022,0.000004806891],"category_scores_gemma":[0.000009353338,0.0002662123,0.0001096861,0.0003452615,0.00006406623,0.0001549472,0.0000317199,0.00009911247,0.00000151817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330552,"about_ca_system_score_gemma":0.00001774052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003112984,"about_ca_topic_score_gemma":0.00001255457,"domain_scores_codex":[0.998974,0.0000279694,0.0002912431,0.0002919754,0.00005108275,0.0003637696],"domain_scores_gemma":[0.9995992,0.00003139576,0.00008184704,0.0001607791,0.00000663631,0.0001201427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001247627,0.00001628518,0.008130023,0.000009976059,0.0004132946,8.997043e-7,0.002205909,0.986676,0.00005557738,0.001161013,0.0007157108,0.0006028014],"study_design_scores_gemma":[0.0003689034,0.00003586178,0.001002842,0.000004118077,0.0001028037,0.00001120494,0.0001358629,0.9330481,0.0006808926,0.0001341833,0.06414064,0.0003346382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441227,0.0004117858,0.04962143,0.00005111678,0.00005119756,0.00009457641,0.00006485337,0.0001672571,0.005415136],"genre_scores_gemma":[0.9944046,0.0002422502,0.00189255,0.000167074,0.001143848,0.00004942894,0.000901894,0.00003865179,0.001159675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06342493,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2798063754","doi":"10.1080/15567249.2018.1460422","title":"Revisiting CO<sub>2</sub> emissions convergence in G18 countries","year":2018,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Department of Education of Hebei Province","keywords":"Unit root test; Unit root; Per capita; Economics; Convergence (economics); Greenhouse gas; Quantile; Unit (ring theory); Development economics; Econometrics; Macroeconomics; Mathematics; Cointegration; Demography","authors":[{"name":"Jiangpeng Lin","is_ca":false},{"name":"Roula Inglesi‐Lotz","is_ca":false},{"name":"Tsangyao Chang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02187625153576244,"gpt":0.2351234509212235,"spread":0.213247199385461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006622969,0.0003483898,0.0006444737,0.0005414898,0.0003630808,0.0001649164,0.0003107625,0.000225159,0.000153011],"category_scores_gemma":[0.0001163709,0.0004583486,0.00009526331,0.0001635954,0.0003828988,0.0003509925,0.0001502725,0.0001964424,0.000347891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381566,"about_ca_system_score_gemma":0.00006066899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006948088,"about_ca_topic_score_gemma":0.00008659213,"domain_scores_codex":[0.9974194,0.00003852168,0.001026927,0.0007975349,0.00002526287,0.0006923451],"domain_scores_gemma":[0.9984856,0.0001678833,0.0006259535,0.0004420001,0.00001091828,0.0002676255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004419814,0.00004007024,0.5207766,0.00003628311,0.0001059109,0.000008688915,0.002350756,0.005371065,0.0001787546,0.4677769,0.002023307,0.001287518],"study_design_scores_gemma":[0.0012646,0.0001294681,0.04268245,0.0001719887,0.00001216449,0.00004005479,0.0004072528,0.01173517,0.009627816,0.02463689,0.9080089,0.001283246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967448,0.002070635,0.0002424001,0.0009576936,0.0003272789,0.00006586524,0.0001604744,0.00006017336,0.02866746],"genre_scores_gemma":[0.9926869,0.002951869,0.0001240831,0.001658931,0.001596848,0.0000316101,0.00005664701,0.00006353768,0.0008296265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9059856,"threshold_uncertainty_score":0.9997869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063627385","doi":"10.1080/15567240903502586","title":"Energy Consumption and GDP: The Strong Relationship in OECD Countries","year":2013,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Energy consumption; Ordinary least squares; Economics; Relation (database); Economy; Value (mathematics); Geography; Econometrics; Development economics; Statistics; Mathematics; Sociology; Engineering","authors":[{"name":"Alper Aslan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03152836164086025,"gpt":0.2229508335948251,"spread":0.1914224719539649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003867144,0.0002492618,0.0003832421,0.0003526811,0.0002868747,0.0002592467,0.0001843427,0.0001717969,0.0001953829],"category_scores_gemma":[0.00003360466,0.0002658789,0.00005019611,0.00005435936,0.0002856398,0.0004222713,0.0001151421,0.0001591682,0.0001426792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436062,"about_ca_system_score_gemma":0.00002205159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005472219,"about_ca_topic_score_gemma":0.0004306354,"domain_scores_codex":[0.9983379,0.00004443733,0.000680896,0.0004956611,0.00001787761,0.0004232791],"domain_scores_gemma":[0.998835,0.000322272,0.000383982,0.0003169851,0.000004566634,0.0001372127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004950058,0.000008853335,0.4694865,0.000005781241,0.00002580408,4.030509e-7,0.0004823044,0.004751246,7.212403e-7,0.5243771,0.0004352746,0.0004210971],"study_design_scores_gemma":[0.000990198,0.00005644325,0.4671028,0.00003108053,0.00001029565,0.00002522474,0.0003710107,0.02077769,0.00005024612,0.09376582,0.416164,0.0006552839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793346,0.005002148,0.0002762431,0.001979438,0.0001539535,0.00007508241,0.00007179486,0.00003063402,0.01307612],"genre_scores_gemma":[0.9931008,0.002629863,0.00007841334,0.001206217,0.000334769,0.00008996061,0.00004094523,0.00003739891,0.002481638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4306113,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197796757","doi":"10.1080/15567249.2021.1965261","title":"Hybrid wind-municipal solid waste biomass power plant location selection considering waste collection problem: a case study","year":2021,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Particle swarm optimization; Renewable energy; Municipal solid waste; Environmental economics; Wind power; Power station; Environmental science; Biomass (ecology); Waste-to-energy; Site selection; Electricity; Fuzzy logic; Electricity generation; Location model; Hybrid power; Computer science; Power (physics); Mathematical optimization; Operations research; Engineering; Waste management; Economics; Mathematics","authors":[{"name":"Pedram Memari","is_ca":false},{"name":"Fatemeh Navazi","is_ca":true},{"name":"Fariborz Jolai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01791453507408362,"gpt":0.2403339083957994,"spread":0.2224193733217157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002280924,0.0002405619,0.0002351374,0.0001174369,0.0005928978,0.0001272748,0.00007534919,0.00008643246,0.00009416222],"category_scores_gemma":[0.00002273468,0.0002617854,0.00004066656,0.0001968515,0.00009950573,0.0002736324,0.0001638253,0.0001302298,0.00001475414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269468,"about_ca_system_score_gemma":0.00004884485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00638959,"about_ca_topic_score_gemma":0.002575787,"domain_scores_codex":[0.9985882,0.0001280107,0.0003373411,0.0004544483,0.00008572885,0.0004062847],"domain_scores_gemma":[0.9993472,0.0000705839,0.000170481,0.0002065422,0.000005887091,0.0001992905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004652655,0.0001654197,0.04057074,0.000008322849,0.0001066005,0.0003281804,0.007632168,0.9493145,0.000721468,0.0001543789,0.0006217848,0.0003298988],"study_design_scores_gemma":[0.0111435,0.004034013,0.02255883,0.0005014228,0.0006260489,0.05689488,0.08708119,0.3091421,0.1747311,0.003029425,0.3242121,0.006045428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996469,0.000119095,0.0001052396,0.0001450186,0.0001294436,0.00008464725,0.00001061714,0.00005080089,0.002886146],"genre_scores_gemma":[0.9977791,0.00006512348,0.0001115881,0.0002596856,0.0002184592,0.00002017535,0.0000398545,0.00002947667,0.00147659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6401725,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034263173","doi":"10.1080/15567240600815083","title":"Decentralized Micro-hydro Energy Systems in Nepal: En Route to Sustainable Energy Development","year":2008,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Hydropower; Sustainability; Decentralization; Micro hydro; Business; Small hydro; Environmental planning; Sustainable development; Hydroelectricity; Environmental economics; Socioeconomic development; Natural resource economics; Renewable energy; Environmental resource management; Economic growth; Geography; Environmental science; Economics; Engineering; Political science; Ecology","authors":[{"name":"Govind Raj Pokharel","is_ca":false},{"name":"A. Chhetri","is_ca":true},{"name":"M. I. Khan","is_ca":true},{"name":"M. R. Islam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01141272668768218,"gpt":0.2116226673710863,"spread":0.2002099406834041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000238584,0.0003709875,0.0004031785,0.0002459409,0.0003924587,0.00008424318,0.0003054682,0.0001949364,0.00007823376],"category_scores_gemma":[0.00002430406,0.0003903164,0.00005372857,0.0002361365,0.0001318668,0.0002703675,0.0003368493,0.0001009612,0.00003145096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738582,"about_ca_system_score_gemma":0.00008269266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02955332,"about_ca_topic_score_gemma":0.001009689,"domain_scores_codex":[0.997704,0.0001059444,0.0004998541,0.0005607401,0.0001219679,0.001007495],"domain_scores_gemma":[0.9989619,0.00009847483,0.0001412845,0.0002914364,0.000003299514,0.0005035813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007774178,0.00007862282,0.06771236,0.000007870302,0.00004919774,0.00009101761,0.00410148,0.9158874,0.0002086126,0.006538105,0.003247107,0.002000497],"study_design_scores_gemma":[0.0005921063,0.00005493955,0.01833213,0.00003038303,0.000006179003,0.00008300124,0.0003178781,0.001581285,0.002335922,0.0001964113,0.9759509,0.0005188702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884222,0.0007955021,0.0004135781,0.0003163842,0.0001204961,0.00004846863,0.000006427656,0.00005748436,0.009819432],"genre_scores_gemma":[0.9769447,0.001279065,0.0003684873,0.001862295,0.0002272238,0.0000615286,0.00006023988,0.00004819288,0.01914827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9727038,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103104249","doi":"10.1080/15567240701620531","title":"Interval-Parameter Robust Minimax-regret Programming and Its Application to Energy and Environmental Systems Planning","year":2009,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Regret; Mathematical optimization; Minimax; Robust optimization; Robustness (evolution); Interval (graph theory); Fuzzy logic; Linear programming; Computer science; Mathematics; Artificial intelligence; Statistics","authors":[{"name":"Yongping Li","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Xunlin Chen","is_ca":false},{"name":"Shuo Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01174825259745583,"gpt":0.1997317913023648,"spread":0.187983538704909,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008029497,0.000219879,0.0002175652,0.0002256964,0.0001236429,0.0002265293,0.00008167959,0.00008676753,0.000001166559],"category_scores_gemma":[0.000003741393,0.0002353899,0.00002075793,0.00005789427,0.0000244262,0.000163668,0.0000578303,0.00005483198,0.000001380825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003932572,"about_ca_system_score_gemma":0.000002380095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006102366,"about_ca_topic_score_gemma":0.000003261373,"domain_scores_codex":[0.9991301,0.00001837171,0.0002444708,0.0002868059,0.00004051414,0.0002797573],"domain_scores_gemma":[0.9996316,0.00003170786,0.00006382163,0.0001118511,0.000003154325,0.0001578197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001962047,0.00001058458,0.003258231,0.00003150891,0.00005725556,0.000002618478,0.002451807,0.9695273,0.0000882707,0.001495454,0.0002418399,0.02281548],"study_design_scores_gemma":[0.0003103086,0.0001147033,0.0007904022,0.00008541883,0.00002660266,0.00002759588,0.00050824,0.7980763,0.0002567634,0.00005786533,0.1993563,0.0003893925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856097,0.003216882,0.009693949,0.000124908,0.00007114976,0.0001171964,0.00001560582,0.0001433495,0.00100722],"genre_scores_gemma":[0.9981658,0.0002768031,0.0003755122,0.0002157009,0.000327347,0.00003712418,0.000116009,0.00003040645,0.0004552538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991145,"threshold_uncertainty_score":0.959892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2770431248","doi":"10.1080/15567249.2017.1402102","title":"Economics of hydropower energy: A critical assessment","year":2017,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hydropower; Wildlife; Resource (disambiguation); China; Environmental science; Electricity; Natural resource economics; Environmental protection; Environmental planning; Engineering; Geography; Ecology; Economics","authors":[{"name":"Bo Xue","is_ca":false},{"name":"Sun Zhihong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0135070685667604,"gpt":0.2565129228774181,"spread":0.2430058543106577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009067737,0.0001691453,0.0002396887,0.0001538853,0.0002233286,0.0002296245,0.0002238975,0.00008508145,0.00001834254],"category_scores_gemma":[0.00001329352,0.0001868149,0.00005295381,0.00001774713,0.0001286749,0.0002252205,0.0001111702,0.00006141141,0.000001834303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003963851,"about_ca_system_score_gemma":0.00001571351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002985805,"about_ca_topic_score_gemma":0.0000343662,"domain_scores_codex":[0.9992642,0.00001288819,0.0002644938,0.0001831998,0.00002689397,0.0002482556],"domain_scores_gemma":[0.9994133,0.00004393628,0.0001031118,0.0003264652,0.000009894713,0.0001032699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001302906,0.00002092698,0.009539386,0.00004411516,0.0001457131,0.000002906137,0.0005336695,0.8180753,0.00001355216,0.1654348,0.001250812,0.00492577],"study_design_scores_gemma":[0.0004751654,0.00005703475,0.002880915,0.00005194697,0.00003708526,0.000005657779,0.00008664604,0.5647541,0.000923145,0.004331576,0.425977,0.0004197545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981764,0.0003990468,0.00510049,0.0005310156,0.0004260559,0.00003282026,0.00003051494,0.0001118597,0.09519183],"genre_scores_gemma":[0.9973353,0.0006354107,0.0004539896,0.0001187969,0.0004850187,0.000008291408,0.00003140295,0.00003523869,0.0008965857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4247262,"threshold_uncertainty_score":0.7618092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018169612","doi":"10.1080/15567240802592134","title":"DESPU: Dynamic Optimization for Energy Systems Planning Under Uncertainty","year":2011,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; Impact; University of Toronto; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sizing; Interval (graph theory); Mathematical optimization; Fuzzy logic; Energy (signal processing); Computer science; Integer programming; Energy system; Operations research; Dynamic programming; Engineering; Mathematics; Artificial intelligence; Statistics","authors":[{"name":"Qianguo Lin","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"B. Bass","is_ca":true},{"name":"Yuefei Huang","is_ca":false},{"name":"Xiaodong Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02337211241774255,"gpt":0.213754820461789,"spread":0.1903827080440465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001018249,0.0002335107,0.0002302269,0.0002874224,0.0001789019,0.0001415686,0.0001360781,0.0001248998,0.000009860642],"category_scores_gemma":[0.000005364914,0.0002526737,0.00004987311,0.0000904585,0.00003772921,0.0001762986,0.00003861984,0.00005303041,0.00000122294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008184637,"about_ca_system_score_gemma":0.00001245517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238785,"about_ca_topic_score_gemma":0.0000208053,"domain_scores_codex":[0.9990483,0.00002171791,0.0002977145,0.0002433414,0.00003667941,0.0003522244],"domain_scores_gemma":[0.999574,0.00004853277,0.00009543081,0.0001587468,0.00001656916,0.0001066863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002399714,0.000006400824,0.0003338242,0.000033916,0.00009519902,8.185504e-7,0.001173738,0.9896836,0.000001880025,0.007637805,0.000361664,0.0006471376],"study_design_scores_gemma":[0.0003309197,0.00003784689,0.00005046853,0.00004634606,0.00002682697,0.000004450391,0.0003289457,0.9495407,0.00003529122,0.0004443218,0.04886859,0.0002852462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277461,0.002662734,0.7520232,0.00006764448,0.0007771615,0.0001823033,0.00005085521,0.0006433245,0.01584666],"genre_scores_gemma":[0.995683,0.0003125423,0.001609136,0.0001597969,0.0004126535,0.00007019534,0.0003065678,0.00007727786,0.001368822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7679369,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382246839","doi":"10.1080/15567249.2023.2229320","title":"Identifying optimal geographic locations for hybrid concentrated solar biomass (HCSB) power plants in Alberta and Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"","keywords":"Biomass (ecology); Environmental science; Power station; Electricity; Concentrated solar power; Environmental engineering; Raw material; Electricity generation; Solar power; Solar energy; Hybrid power; Agricultural engineering; Waste management; Power (physics); Engineering; Agronomy; Ecology; Biology","authors":[{"name":"Mehran Bozorgi","is_ca":true},{"name":"Animesh Dutta","is_ca":true},{"name":"Shohel Mahmud","is_ca":true},{"name":"Syeda Humaira Tasnim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01108662862961755,"gpt":0.2223257456962693,"spread":0.2112391170666518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002174858,0.0001414652,0.0001915674,0.00009627989,0.0002489891,0.00007514197,0.0001014176,0.00005151561,0.00002428399],"category_scores_gemma":[0.00002365371,0.0001518637,0.00002497719,0.0001047711,0.0001076471,0.0001183502,0.00008925959,0.00006262394,0.000001647502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973273,"about_ca_system_score_gemma":0.0001861716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924129,"about_ca_topic_score_gemma":0.9771273,"domain_scores_codex":[0.9989332,0.00002920449,0.0002561865,0.0003304811,0.00004634143,0.0004045649],"domain_scores_gemma":[0.9994711,0.0001583627,0.00008142574,0.0001342401,0.000004153277,0.0001506963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002592305,0.00001242473,0.9788531,0.00001510625,0.00003234712,0.00001098249,0.00284636,0.01491254,0.00007866799,0.0002869173,0.002738943,0.0001866872],"study_design_scores_gemma":[0.0008177137,0.00005169179,0.5468807,0.00004310696,0.00001022458,0.00003678603,0.002528108,0.01842593,0.0006667041,0.0009531819,0.4291275,0.0004584291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989086,0.00007355127,0.00002254903,0.0002177187,0.0001081346,0.0001074926,0.00005951079,0.00001659933,0.0004858368],"genre_scores_gemma":[0.9982955,0.00002496766,0.00001481874,0.000162041,0.00003933618,0.00004095435,0.0000855159,0.0000118491,0.001325044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4319724,"threshold_uncertainty_score":0.6192821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997702126","doi":"10.1080/15567249.2010.483448","title":"Interval Fuzzy Robust Dynamic Programming for Nonrenewable Energy Resources Management with Chance Constraints","year":2013,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; University of Regina","funders":"U.S. Nuclear Regulatory Commission","keywords":"Interval (graph theory); Mathematical optimization; Computer science; Fuzzy logic; Reliability (semiconductor); Constraint (computer-aided design); Stochastic programming; Context (archaeology); Interval arithmetic; Dynamic programming; Non-renewable resource; Operations research; Reliability engineering; Risk analysis (engineering); Renewable energy; Engineering; Mathematics; Artificial intelligence","authors":[{"name":"X.H. Nie","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Yongping Li","is_ca":false},{"name":"Lei Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008807054187933408,"gpt":0.1914353067678829,"spread":0.1826282525799495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000085099,0.0002808936,0.0002547893,0.0002731738,0.0001800458,0.000329406,0.0001806157,0.00007978907,0.00001486968],"category_scores_gemma":[0.000002414003,0.000271819,0.00004921846,0.0001101596,0.0001064842,0.000222658,0.00007020099,0.00005693798,0.000003593914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005834247,"about_ca_system_score_gemma":0.000006058975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000303443,"about_ca_topic_score_gemma":0.0001186289,"domain_scores_codex":[0.9988533,0.00001559895,0.0002734477,0.0003172624,0.00005159264,0.0004888176],"domain_scores_gemma":[0.9995406,0.00003601228,0.00009298787,0.0001852376,0.00001784074,0.0001273413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002544858,0.0000147307,0.0005182212,0.0001023581,0.0002310248,0.000002367794,0.0009930508,0.9415869,0.000005318785,0.003476342,0.0008230528,0.0522212],"study_design_scores_gemma":[0.001010762,0.0001304768,0.0002894237,0.0001906752,0.00005705822,0.00001327098,0.001002895,0.5028563,0.0002104464,0.0007232457,0.4928709,0.0006445899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83693,0.001341268,0.1211154,0.0004979661,0.0003330539,0.0005732154,0.00003629757,0.0007701226,0.03840274],"genre_scores_gemma":[0.9852113,0.0003511455,0.007438698,0.0002430478,0.0003836918,0.0003563788,0.0001599538,0.00009084254,0.005764934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4920478,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000454944","doi":"10.1080/15567249.2010.529559","title":"The Economic and Social Benefit of C1 Utilization in China","year":2014,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Methanol; Methyl formate; Formate; Dimethyl ether; Carbonylation; Oxalic acid; Chemistry; Organic chemistry; Catalysis; Carbon monoxide","authors":[{"name":"Xiao Rong Kang","is_ca":false},{"name":"Xiaoting Guo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01034265607508823,"gpt":0.2139548623920835,"spread":0.2036122063169953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001106352,0.00009726145,0.0001555666,0.0001164981,0.00004430359,0.00003613393,0.00008175481,0.00008926855,9.030957e-7],"category_scores_gemma":[0.00001263378,0.00009201108,0.00001934126,0.00003001814,0.00009190213,0.0000453408,0.00003955256,0.00006482485,4.313014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004565161,"about_ca_system_score_gemma":0.000008758602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002852815,"about_ca_topic_score_gemma":0.0003203229,"domain_scores_codex":[0.9995503,0.000008651803,0.0001794942,0.0001014239,0.00001205063,0.0001480603],"domain_scores_gemma":[0.9997538,0.0000790417,0.00005094503,0.00009442454,0.000002236347,0.00001952567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001677996,0.000003462824,0.01758446,0.00003271912,0.00005512583,3.008271e-7,0.002873342,0.4557442,0.00009366031,0.4751823,0.0005186612,0.04789504],"study_design_scores_gemma":[0.0009885351,0.00007426777,0.07260074,0.00005582372,0.00002065913,0.00001847942,0.0008970072,0.4769622,0.004752661,0.03794083,0.405053,0.0006357882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995071,0.0009365705,0.00004108456,0.0002565428,0.00007429914,0.00001819396,0.000007721578,0.00007953808,0.003515068],"genre_scores_gemma":[0.9991062,0.0005873583,0.00001774933,0.00003151059,0.0001737816,0.00000587386,0.000006234825,0.00001496394,0.00005632025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4372414,"threshold_uncertainty_score":0.3752103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2592280594","doi":"10.1080/15567249.2011.592901","title":"Qualification of essential components of a FIT scheme","year":2016,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; Nova Scotia Department of Agriculture","funders":"","keywords":"Greenhouse gas; Tariff; Environmental economics; Renewable energy; Electricity; Bureaucracy; Government (linguistics); Business; Coal; Demographics; Natural resource economics; Economics; Engineering; Waste management; Political science; International trade","authors":[{"name":"Adam Wile","is_ca":true},{"name":"Kenneth Corscadden","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03104539569818614,"gpt":0.2689879572769492,"spread":0.2379425615787631,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571799,0.0001205666,0.0002279709,0.0001872672,0.00006080256,0.00001058244,0.0001473103,0.00006912524,0.00003073772],"category_scores_gemma":[0.00002984126,0.00009995333,0.00005618992,0.0000742979,0.000136492,0.000076947,0.00007023477,0.00002528278,0.0000038625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001963549,"about_ca_system_score_gemma":0.00002220986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283061,"about_ca_topic_score_gemma":0.00006614128,"domain_scores_codex":[0.9991305,0.00004431926,0.0003828623,0.0002002633,0.0000538374,0.000188215],"domain_scores_gemma":[0.9993005,0.0001082294,0.0002853732,0.0002218184,0.00002075123,0.00006333554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007965801,0.00009334052,0.003545087,0.00003623294,0.0001306196,6.423106e-7,0.0009652582,0.03059002,0.00966054,0.9473989,0.0004147728,0.007084906],"study_design_scores_gemma":[0.00200842,0.0001971606,0.007176851,0.0003086004,0.00005153631,0.000006616627,0.000367732,0.006740764,0.09556183,0.006919035,0.8800837,0.0005777432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866205,0.0002057028,0.0006112214,0.0003276488,0.0001103213,0.00001994189,0.00001901975,0.00002655764,0.01205901],"genre_scores_gemma":[0.9972807,0.0002199765,0.0001796526,0.00009655183,0.0002273438,0.000007544416,0.00002218757,0.00001425398,0.001951762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9404799,"threshold_uncertainty_score":0.4279054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416555907","doi":"10.1080/15567249.2025.2591350","title":"Quantifying the contribution of the oil refining industry to world gross production","year":2025,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Universitat Rovira i Virgili","keywords":"Production (economics); Refining (metallurgy); Petroleum industry; Oil refinery; Oil production; Productivity","authors":[{"name":"Maria Llop-Llop","is_ca":false},{"name":"Josep‐Maria Arauzo‐Carod","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0317547141936854,"gpt":0.3143440185974,"spread":0.2825893044037146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006115266,0.0001445248,0.0002100397,0.0001943532,0.0006062225,0.00008815715,0.0002876002,0.0001572886,0.000006049425],"category_scores_gemma":[0.0006149917,0.0001018004,0.00006956272,0.0006002901,0.000198317,0.00007903959,0.0002266296,0.0003296677,0.00000143103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300318,"about_ca_system_score_gemma":0.0001928474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008475545,"about_ca_topic_score_gemma":0.004349216,"domain_scores_codex":[0.9987649,0.0001856038,0.0003241622,0.0002832591,0.00007324979,0.0003688758],"domain_scores_gemma":[0.9991457,0.0002015371,0.0001166303,0.0003869041,0.0000773123,0.00007191542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008745751,0.00001745355,0.04343345,0.0000181994,0.00006444821,4.12714e-7,0.0007463987,0.2934395,0.00007344609,0.6433431,0.0005817467,0.01819439],"study_design_scores_gemma":[0.0002525315,0.00002354665,0.009348251,0.0001483334,0.00001791185,0.000005524494,0.001004519,0.001107762,0.004124798,0.005046774,0.9787632,0.000156832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631048,0.0003769954,0.00001080864,0.01193866,0.0003500701,0.00002234259,0.00000517628,0.00003130828,0.02415978],"genre_scores_gemma":[0.9728643,0.00003272274,0.00001249453,0.000997814,0.0003836989,0.00002988578,0.000008714658,0.000009662926,0.02566065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9781815,"threshold_uncertainty_score":0.9981271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2207461793","doi":"10.1080/15567240701792025","title":"Geology and Geochemistry of Oil and Gas (Developments in Petroleum Science, Volume 52), G. V. Chilingar, L. A. Buryakovsky, N. A. Eremenko, and M. V. Gorfunkel, Elsevier B.V., Amsterdam, The Netherlands, 390 Pages ISBN: 0-444-52053-8","year":2007,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Geology; Volume (thermodynamics); Petroleum; Geochemistry; Fossil fuel; Petroleum geology; Petroleum engineering; Engineering; Thermodynamics; Waste management; Paleontology","authors":[{"name":"Chefi Ketata","is_ca":true},{"name":"M. R. Islam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008005099005507381,"gpt":0.2167967467663001,"spread":0.2087916477607927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005970036,0.0002106872,0.0003253728,0.0003268885,0.0001925111,0.00009157757,0.0001388533,0.0001221621,0.000006349784],"category_scores_gemma":[0.00002470373,0.0001800162,0.00002543563,0.0001833533,0.0004252882,0.0001291246,0.0001170839,0.0001672069,6.125804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002963348,"about_ca_system_score_gemma":0.0000443673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912569,"about_ca_topic_score_gemma":0.0002949438,"domain_scores_codex":[0.9988394,0.00002525481,0.0003841102,0.0002967663,0.00007057362,0.000383917],"domain_scores_gemma":[0.9994696,0.0000834791,0.00009966145,0.0001660689,0.000016474,0.0001647225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001201689,0.00006692942,0.7293062,0.0003346383,0.000531689,0.00002323589,0.01460352,0.1401487,0.003082785,0.001138616,0.000756349,0.1098872],"study_design_scores_gemma":[0.00322507,0.000157302,0.09400441,0.0003113834,0.000122012,0.0002223819,0.004324804,0.3429503,0.007384143,0.0008589154,0.5448132,0.001626156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830437,0.004721309,0.00003021047,0.0005202587,0.00005097872,0.00001743753,0.000006616956,0.00002634309,0.01158311],"genre_scores_gemma":[0.9888853,0.0091001,0.00006144217,0.0001491934,0.0001560444,0.000006291081,0.0000168562,0.00001864225,0.001606093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6353018,"threshold_uncertainty_score":0.7340849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2916348979","doi":"10.1080/15567249.2010.536816","title":"The Economic and Social Benefit of C3 Utilization in China","year":2014,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Catalysis and Oxidation Reactions","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Propane; China; Social benefits; Polymerization; Process engineering; Acetonitrile; Environmental science; Waste management; Environmental economics; Business; Chemistry; Economics; Organic chemistry; Engineering; Political science; Law","authors":[{"name":"Hongjun You","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01324037857480482,"gpt":0.2406257447287022,"spread":0.2273853661538974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001039744,0.00006880182,0.0001285806,0.00007643998,0.0001182518,0.00003383678,0.00004762524,0.00004937025,0.000004763021],"category_scores_gemma":[0.00001404477,0.00006310151,0.00002485881,0.00002912551,0.00004360926,0.00005133774,0.00002784053,0.00004636513,9.806033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003148401,"about_ca_system_score_gemma":0.00001173874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009365494,"about_ca_topic_score_gemma":0.0002711769,"domain_scores_codex":[0.9995767,0.000008492435,0.0001902129,0.0001057112,0.00001317738,0.0001056926],"domain_scores_gemma":[0.999716,0.00009608711,0.00008598124,0.00006992859,0.00000346413,0.00002851824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002540876,0.00001374073,0.01433511,0.00001885694,0.00006889047,9.423479e-8,0.003002029,0.2306699,0.0005136504,0.7079023,0.0002365362,0.04321351],"study_design_scores_gemma":[0.0006263446,0.00002392815,0.02950089,0.00002260547,0.00002113506,0.000005696565,0.0003527306,0.4531651,0.004029215,0.003772393,0.5082083,0.0002716918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962495,0.0001375845,0.0001737458,0.000399266,0.00003876694,0.0000117167,0.0000104275,0.0000120134,0.00296697],"genre_scores_gemma":[0.9990351,0.0001733237,0.000009782781,0.00004533349,0.0002642514,0.000004311891,0.00003490248,0.00000831112,0.0004247458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7041298,"threshold_uncertainty_score":0.2573205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}