{"meta":{"query_hash":"00461dc8dd86","filters":{"venue":"International journal of energy and environmental engineering"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"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/00461dc8dd86","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+journal+of+energy+and+environmental+engineering"},"results":[{"id":"W1975124245","doi":"10.1007/s40095-014-0139-8","title":"Wind resource assessment and wind power potential for the city of Ardabil, Iran","year":2014,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Weibull distribution; Wind speed; Environmental science; Meteorology; Wind power; Range (aeronautics); Mean value; Shape parameter; Statistics; Atmospheric sciences; Mathematics; Geography; Geology; Engineering","score_opus":0.005232307489051593,"score_gpt":0.20161064687815677,"score_spread":0.19637833938910518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975124245","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":[0.9169004,0.00055074645,0.081700616,0.00014490364,0.00035505378,0.000028281229,0.0000102341555,0.0000073579063,0.00030243318],"genre_scores_gemma":[0.99814695,0.00031125898,0.0013001884,0.000025614381,0.00016332236,0.0000013771906,0.000005056876,0.000013053283,0.000033157008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933904,0.000008089403,0.0002178539,0.00006590647,0.00025369026,0.000115386436],"domain_scores_gemma":[0.99971926,0.0000966673,0.000045435994,0.00005383283,0.000011087508,0.000073731826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053945,0.00009328852,0.00011515289,0.000077853176,0.00003084589,0.000024836645,0.00013252404,0.00003645154,0.000022300434],"category_scores_gemma":[0.000012779617,0.00007135861,0.000051174207,0.000017899942,0.00004157025,0.00009439304,0.000049573504,0.00008715012,7.788183e-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":[0.0000757047,0.00003699747,0.003057572,0.000016069242,0.00044039436,0.00000858102,0.0001194061,0.9597838,0.023213057,0.0008941016,0.0001488754,0.012205422],"study_design_scores_gemma":[0.003902721,0.0005193782,0.4077201,0.00019215005,0.00008286991,0.0004947032,0.00044402303,0.42029,0.018543815,0.0005543989,0.14670008,0.00055576046],"about_ca_topic_score_codex":0.0000025197082,"about_ca_topic_score_gemma":6.941863e-7,"teacher_disagreement_score":0.5394938,"about_ca_system_score_codex":0.000051722676,"about_ca_system_score_gemma":0.0000056402,"threshold_uncertainty_score":0.29099196},"labels":[],"label_agreement":null},{"id":"W1998862035","doi":"10.1007/s40095-014-0106-4","title":"A life cycle assessment of environmental and economic balance of biochar systems in Quebec","year":2014,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biochar; Corn stover; Greenhouse gas; Carbon sequestration; Fodder; Pyrolysis; Environmental science; Life-cycle assessment; Crop residue; Bioenergy; Raw material; Biomass (ecology); Charcoal; Slash-and-char; Biofuel; Waste management; Agroforestry; Agronomy; Chemistry; Agriculture; Carbon dioxide; Production (economics); Engineering; Ecology","score_opus":0.0018806563824209758,"score_gpt":0.1624157674147227,"score_spread":0.16053511103230172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998862035","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":[0.99746466,0.0012390325,0.0010049043,0.000014863621,0.00020361395,0.000012712264,0.000019794647,0.000004015133,0.000036387482],"genre_scores_gemma":[0.99894726,0.00077677995,0.0002050988,0.0000065098657,0.00004333996,0.0000011021425,0.0000038776134,0.000010016377,0.0000060337197],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994505,0.000006602671,0.0003006302,0.00006249063,0.00011500027,0.00006476577],"domain_scores_gemma":[0.99975723,0.000043221342,0.00009238973,0.00004024158,0.0000020269472,0.00006487536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007008603,0.00008313335,0.0001609292,0.00010371876,0.000003892951,0.0000072818593,0.00009906139,0.000039457558,0.000034586436],"category_scores_gemma":[0.000006317801,0.000085091044,0.000027190783,0.000010220147,0.000036226993,0.00012770436,0.00003815349,0.000050092003,2.875359e-7],"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":[0.000012846719,0.00002886616,0.0057777576,0.000042090636,0.00009098628,0.0000031948766,0.000043306114,0.19013582,0.80139476,0.00044090423,0.0000053502,0.0020240976],"study_design_scores_gemma":[0.0024767623,0.00015614853,0.074400425,0.00039498604,0.000035623478,0.000118683696,0.00036546827,0.54090756,0.3789066,0.0000671087,0.0017484897,0.0004221343],"about_ca_topic_score_codex":0.00007881862,"about_ca_topic_score_gemma":0.0000053724207,"teacher_disagreement_score":0.42248818,"about_ca_system_score_codex":0.00010093608,"about_ca_system_score_gemma":0.000006076838,"threshold_uncertainty_score":0.3469912},"labels":[],"label_agreement":null},{"id":"W2098299067","doi":"10.1186/2251-6832-3-12","title":"Enhancement of energy generation from two layer solar panels","year":2012,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"solar cell performance optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RHI Magnesita (Canada)","funders":"Ulster University","keywords":"Solar energy; Layer (electronics); Materials science; Engineering physics; Environmental science; Composite material; Physics; Engineering; Electrical engineering","score_opus":0.007699720550151983,"score_gpt":0.18312402655272023,"score_spread":0.17542430600256825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098299067","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":[0.6830266,0.001434025,0.31435958,0.000008449166,0.0010297174,0.000008600486,0.000007943343,0.0000089800615,0.00011609165],"genre_scores_gemma":[0.9916331,0.0021126494,0.00540198,0.000019712585,0.0007366849,0.0000017287612,0.000051130817,0.000019373618,0.000023634235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993318,0.00000675883,0.0002806547,0.000051726573,0.00021807775,0.00011099053],"domain_scores_gemma":[0.99977523,0.000016974263,0.00007992151,0.000053215495,0.00001116969,0.00006351312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069392765,0.000104537554,0.00011218312,0.00009231248,0.000012639429,0.000012501936,0.000088841116,0.000041752133,0.000113442824],"category_scores_gemma":[0.000003750174,0.000106934014,0.000043789758,0.000023785939,0.0000120747945,0.00042788006,0.000026895526,0.000056036286,9.774067e-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":[0.000008159949,0.000024758918,0.0015424332,0.000002035065,0.0001340409,0.0000020865782,0.000095372015,0.6176759,0.37475675,0.00023487587,0.000027848464,0.0054957126],"study_design_scores_gemma":[0.00041071643,0.00002502555,0.0020045924,0.000027151025,0.000021484888,0.00002605146,0.000022079326,0.55486655,0.4368361,0.000013474822,0.005625077,0.00012171755],"about_ca_topic_score_codex":0.00001206734,"about_ca_topic_score_gemma":9.910576e-7,"teacher_disagreement_score":0.30895758,"about_ca_system_score_codex":0.000091104295,"about_ca_system_score_gemma":0.0000027533347,"threshold_uncertainty_score":0.43606424},"labels":[],"label_agreement":null},{"id":"W2101924284","doi":"10.1007/s40095-014-0105-5","title":"Application of sliding window technique for prediction of wind velocity time series","year":2014,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sliding window protocol; Artificial neural network; Perceptron; Mean squared error; Renewable energy; Series (stratigraphy); Time series; Wind power; Computer science; Multilayer perceptron; Grid; Data mining; Wind speed; Reliability (semiconductor); Window (computing); Statistics; Artificial intelligence; Engineering; Power (physics); Machine learning; Mathematics; Meteorology","score_opus":0.002843087895573815,"score_gpt":0.1602157319042069,"score_spread":0.1573726440086331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101924284","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":[0.26274863,0.00016988428,0.7364993,0.000010045708,0.000267029,0.0000343164,0.000047494843,0.00001501015,0.0002083049],"genre_scores_gemma":[0.99387646,0.000094446834,0.0058168415,0.000002630394,0.00015740591,0.0000037534758,0.000022474405,0.000013754393,0.000012230627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949145,0.0000044450053,0.00027422013,0.000048309026,0.00011965229,0.00006191568],"domain_scores_gemma":[0.99976754,0.00004461983,0.00010400849,0.000039186772,0.000016258447,0.000028379793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012852221,0.00007529588,0.00012387703,0.00009713179,0.00001165516,0.000004549579,0.00008528687,0.00004825397,0.0000046472364],"category_scores_gemma":[0.000014830912,0.000077702585,0.000049991126,0.00002382261,0.00001676501,0.00016091879,0.000016355954,0.000045184162,6.8032215e-8],"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":[0.000017858578,0.000010860614,0.0005074594,0.000023365179,0.00006643239,3.0580105e-7,0.000035579593,0.4127246,0.5814285,0.0010406234,0.000005504059,0.0041388995],"study_design_scores_gemma":[0.0004075076,0.0001293149,0.003517967,0.00014409116,0.000022280463,0.00008455144,0.000016063363,0.3189918,0.67178214,0.00021807052,0.0045865807,0.0000995976],"about_ca_topic_score_codex":0.0000019607132,"about_ca_topic_score_gemma":2.3318165e-7,"teacher_disagreement_score":0.73112786,"about_ca_system_score_codex":0.000035772646,"about_ca_system_score_gemma":0.0000023549685,"threshold_uncertainty_score":0.31686193},"labels":[],"label_agreement":null},{"id":"W2135996616","doi":"10.1186/2251-6832-3-7","title":"Analysis of wind speed data and wind energy potential in three selected locations in south-east Nigeria","year":2012,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":157,"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 Manitoba","funders":"","keywords":"Windmill; Wind speed; Wind power; Environmental science; Turbine; Meteorology; Electricity generation; Electricity; Renewable energy; Marine engineering; Atmospheric sciences; Power (physics); Engineering; Geography; Geology; Physics; Electrical engineering","score_opus":0.007819834422971295,"score_gpt":0.19615608355798025,"score_spread":0.18833624913500896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135996616","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":[0.99021494,0.0012139847,0.008249692,0.000016637758,0.00021240364,0.000010683644,0.000030671756,0.0000050641456,0.00004591506],"genre_scores_gemma":[0.99898714,0.00043101615,0.00035984893,0.000006223088,0.00010260027,3.475073e-7,0.00008819312,0.000012624297,0.00001200386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99910295,0.000011485693,0.00035351608,0.00009530295,0.00025111376,0.00018565234],"domain_scores_gemma":[0.99970675,0.000025375095,0.000053413714,0.00009346537,0.00001191658,0.000109106804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015454022,0.00011251801,0.00019890415,0.0006494972,0.000010583763,0.000017321805,0.00019783092,0.000054027023,0.00003819716],"category_scores_gemma":[0.00001533813,0.0001149152,0.000029409257,0.0002237758,0.000027921127,0.0003354054,0.000109173736,0.0000977831,1.8498177e-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":[0.000030142912,0.000055787274,0.13179812,0.000004747916,0.0005930683,0.000020950625,0.00025398933,0.85330534,0.012317321,0.00007048799,0.0000065321315,0.0015435044],"study_design_scores_gemma":[0.0005927836,0.000017379793,0.57936853,0.000038971837,0.000043447588,0.00004013977,0.00014721276,0.41815978,0.0009973781,0.000013488856,0.00043536344,0.00014548436],"about_ca_topic_score_codex":0.000050430604,"about_ca_topic_score_gemma":0.00010764254,"teacher_disagreement_score":0.44757044,"about_ca_system_score_codex":0.00009045739,"about_ca_system_score_gemma":0.0000121178755,"threshold_uncertainty_score":0.46861058},"labels":[],"label_agreement":null},{"id":"W2157859915","doi":"10.1186/2251-6832-3-16","title":"Review of underground coal gasification technologies and carbon capture","year":2012,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Moratuwa","keywords":"Underground coal gasification; Coal; Clean coal; Clean coal technology; Coal mining; Coal gasification; Waste management; Environmental science; Extraction (chemistry); Resource (disambiguation); Mining engineering; Carbon capture and storage (timeline); Petroleum engineering; Engineering; Computer science; Geology; Chemistry; Climate change","score_opus":0.006650749436810532,"score_gpt":0.18808689730053402,"score_spread":0.18143614786372347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157859915","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":[0.7306444,0.2564929,0.011232198,0.00038946804,0.00060898927,0.00003653845,0.000010303703,0.00012825565,0.00045694291],"genre_scores_gemma":[0.92033225,0.07895287,0.0006445371,0.00001489118,0.000032719556,0.0000018987578,0.000004255345,0.0000075461126,0.000009038638],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995792,0.0000035482244,0.00020155648,0.000039966584,0.00010497592,0.00007073767],"domain_scores_gemma":[0.9998172,0.000025331516,0.000071563554,0.000054134016,0.000008470897,0.000023332843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008586627,0.00007358553,0.00010663274,0.00010108565,0.000007303854,0.0000053371978,0.00009255719,0.000055176934,0.0000037406667],"category_scores_gemma":[0.000026552549,0.00006766277,0.00002168261,0.000026232578,0.000039271807,0.00011520938,0.000026786283,0.00007615073,8.278511e-8],"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":[0.00007822392,0.00040871472,0.05559526,0.0040040812,0.0019328035,0.000035879613,0.0013460164,0.07074708,0.384558,0.03093945,0.002424547,0.44792995],"study_design_scores_gemma":[0.0038236915,0.0005772407,0.10486718,0.019828716,0.00061454484,0.005717551,0.01658211,0.11246473,0.5138818,0.001667549,0.2171963,0.0027785639],"about_ca_topic_score_codex":0.0000027697893,"about_ca_topic_score_gemma":2.9126744e-7,"teacher_disagreement_score":0.4451514,"about_ca_system_score_codex":0.000037783924,"about_ca_system_score_gemma":0.0000016510638,"threshold_uncertainty_score":0.27592075},"labels":[],"label_agreement":null},{"id":"W2227661106","doi":"","title":"Developments in the production of hydrogen by thermochemical water decomposition","year":2011,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":3,"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":"","keywords":"Thermochemical cycle; Hydrogen production; Hydrogen; Hydrogen economy; Fossil fuel; Exergy; Environmental science; Context (archaeology); Chemistry; Process engineering; Waste management; Engineering; Geology","score_opus":0.004535236827163447,"score_gpt":0.16837802620164932,"score_spread":0.16384278937448588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227661106","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":[0.9989661,0.00034364863,0.0003194221,0.000021904802,0.000111735186,0.000009060063,0.0000010634284,0.0000050941353,0.00022196521],"genre_scores_gemma":[0.99950606,0.00022779864,0.00019109342,0.000012238494,0.00004030294,0.0000015669991,0.000009315257,0.000006769448,0.000004887748],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995972,0.0000037359707,0.0001768596,0.00004252234,0.00011755207,0.000062135485],"domain_scores_gemma":[0.99991363,0.000012862207,0.000022579137,0.000027181877,0.0000051004304,0.00001865081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055865894,0.000059825274,0.00006531323,0.000036083246,0.0000054655425,0.0000034704603,0.00011686271,0.0000301664,0.000014312019],"category_scores_gemma":[0.000005141838,0.000040802945,0.00002182873,0.000014781543,0.0000143914995,0.00007730625,0.000015088359,0.00006357043,3.1593314e-7],"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":[0.000016962636,0.00004255695,0.00021936532,0.000007757904,0.000045780693,0.0000040544865,0.00031260712,0.0023393275,0.9957023,0.000027092288,0.000022033119,0.0012601329],"study_design_scores_gemma":[0.00011260466,0.000009910075,0.00027479272,0.000039837345,0.000004957988,0.00007374021,0.000025659914,0.000610606,0.9982993,0.00011044108,0.00038549543,0.000052678424],"about_ca_topic_score_codex":0.0000031811167,"about_ca_topic_score_gemma":1.8716838e-7,"teacher_disagreement_score":0.0025969471,"about_ca_system_score_codex":0.000050531948,"about_ca_system_score_gemma":0.000001061473,"threshold_uncertainty_score":0.16638957},"labels":[],"label_agreement":null},{"id":"W2261518076","doi":"","title":"Performance of a photovoltaic/thermal solar air heater: Effect of vertical fins on a double pass system","year":2011,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Heat Transfer Mechanisms","field":"Engineering","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":"Ontario Tech University","funders":"","keywords":"Thermal; Heat transfer; Materials science; Airflow; Photovoltaic system; Volumetric flow rate; Mechanics; Channel (broadcasting); Perpendicular; Environmental science; Mechanical engineering; Electrical engineering; Thermodynamics; Engineering; Geometry","score_opus":0.004498110323576951,"score_gpt":0.15479710760777732,"score_spread":0.15029899728420038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261518076","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":[0.99543136,0.0000774547,0.0037918263,0.0000018374496,0.00037680435,0.000025908828,0.000007797858,0.000015117596,0.0002718802],"genre_scores_gemma":[0.9995987,0.000083852516,0.00023209519,0.0000040183163,0.000052268962,0.0000032601151,0.0000021904852,0.000020933128,0.0000027081385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927443,0.000009151644,0.00030854737,0.000062749874,0.00023252863,0.000112594396],"domain_scores_gemma":[0.9998128,0.00002829249,0.000023375142,0.00006183295,0.000007776171,0.00006593991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010532612,0.00012489948,0.00020318263,0.00011901028,0.00000876985,0.0000028983286,0.00013462981,0.00005665759,0.000023137665],"category_scores_gemma":[0.0000019086906,0.00010961754,0.00007669607,0.000023497847,0.000021721477,0.00012104345,0.000018055587,0.000097055956,8.966617e-7],"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":[0.00047475746,0.000050263287,0.0020286737,0.00013758623,0.00026094116,0.00004490282,0.00020575563,0.24469958,0.75079495,0.00030687865,0.0000016411844,0.0009940864],"study_design_scores_gemma":[0.0009468569,0.0004990617,0.0053908294,0.00024158724,0.000027079432,0.00010131124,0.000014433845,0.098530844,0.89412075,8.2765087e-7,0.00003930019,0.00008711716],"about_ca_topic_score_codex":0.000009789284,"about_ca_topic_score_gemma":4.0723145e-7,"teacher_disagreement_score":0.14616874,"about_ca_system_score_codex":0.00008327687,"about_ca_system_score_gemma":0.0000035292217,"threshold_uncertainty_score":0.44700736},"labels":[],"label_agreement":null},{"id":"W2521080030","doi":"10.1007/s40095-016-0220-6","title":"Short-term wind speed forecasting using artificial neural networks for Tehran, Iran","year":2016,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Wind speed; Wind power; Particle swarm optimization; Artificial neural network; Mean squared error; Renewable energy; Turbine; Adaptive neuro fuzzy inference system; Computer science; Engineering; Artificial intelligence; Meteorology; Fuzzy logic; Machine learning; Fuzzy control system; Statistics; Mathematics","score_opus":0.02127306420834795,"score_gpt":0.20852331784211323,"score_spread":0.18725025363376527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521080030","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":[0.8024212,0.00036776494,0.1952418,0.000016537742,0.0018573024,0.000021808,0.000014066656,0.000022290456,0.000037212703],"genre_scores_gemma":[0.99751973,0.00012408437,0.0010851669,0.000012547691,0.0011965084,5.653568e-7,0.000007807183,0.000039985993,0.000013623674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914175,0.0000056694134,0.00036891858,0.000100903024,0.0001679508,0.00021478716],"domain_scores_gemma":[0.9996793,0.00009951631,0.00006321351,0.00005005546,0.000012278163,0.00009563864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010202984,0.00016544007,0.00016232264,0.000125919,0.000039912673,0.000036864098,0.00014285326,0.000069133726,0.000017577255],"category_scores_gemma":[0.000015563346,0.00013579741,0.00010440826,0.000028150362,0.000028300698,0.0002923759,0.000033916094,0.00007903657,1.1107619e-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":[0.00003591142,0.000010852555,0.0011058073,0.0000054469656,0.00011279057,0.000030368794,0.000025481195,0.88131136,0.07999024,0.00017440521,0.0000068792438,0.03719048],"study_design_scores_gemma":[0.00041561003,0.00004788148,0.000674766,0.0001450976,0.000025781394,0.0004033039,0.00001821017,0.98949033,0.007864902,0.00005922977,0.00065736315,0.00019753767],"about_ca_topic_score_codex":0.0000013605907,"about_ca_topic_score_gemma":0.0000015073758,"teacher_disagreement_score":0.19509849,"about_ca_system_score_codex":0.00010088775,"about_ca_system_score_gemma":0.000002506771,"threshold_uncertainty_score":0.5537658},"labels":[],"label_agreement":null},{"id":"W2884331591","doi":"10.1007/s40095-018-0279-3","title":"A novel time-effective model for daily distributed solar radiation estimates across variable terrain","year":2018,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":10,"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 Lethbridge","funders":"Mitacs; University of Lethbridge","keywords":"Environmental science; Radiation; Terrain; Meteorology; Sky; Elevation (ballistics); Mean squared error; Atmospheric sciences; Empirical modelling; Attenuation; Statistics; Mathematics; Geography; Physics; Computer science; Simulation","score_opus":0.004857405100805536,"score_gpt":0.21331413414138908,"score_spread":0.20845672904058354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884331591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029933842,0.0000576504,0.9694744,0.00006274219,0.0003321837,0.00003400183,0.00007809705,0.0000131662,0.000013944537],"genre_scores_gemma":[0.9395764,0.000022548786,0.06001023,0.0001234347,0.00017333055,0.000006885809,0.000038798127,0.000008375541,0.00003998491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944854,0.000004840998,0.00017415678,0.00010309471,0.00015641583,0.000112978145],"domain_scores_gemma":[0.9996451,0.00009660162,0.00010542336,0.00006038358,0.00002996829,0.0000625021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015971257,0.0000859934,0.00008996178,0.000055412667,0.000058094316,0.000081518345,0.00023895144,0.00004198682,0.000005898123],"category_scores_gemma":[0.000058082347,0.00008455259,0.000042319953,0.000038568895,0.000023086779,0.00044751837,0.00006506801,0.00004835963,8.6138067e-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":[0.00007169262,0.00012252867,0.0002858241,0.000005228571,0.00023387202,0.0000044840717,0.0010919803,0.7548673,0.22166345,0.004520523,0.00028236903,0.016850758],"study_design_scores_gemma":[0.0006081115,0.00007631045,0.0010723933,0.000014222371,0.0000057945617,0.00007490977,0.000009094803,0.9831362,0.010912597,0.0004071105,0.0035967447,0.00008651763],"about_ca_topic_score_codex":0.00000705637,"about_ca_topic_score_gemma":8.7799043e-7,"teacher_disagreement_score":0.9096426,"about_ca_system_score_codex":0.000096668075,"about_ca_system_score_gemma":0.000012253496,"threshold_uncertainty_score":0.34479544},"labels":[],"label_agreement":null},{"id":"W2905967352","doi":"10.1007/s40095-018-0292-6","title":"Heat pumps in Ontario","year":2018,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Heat pump; Environmental science; Storage heater; Greenhouse gas; Heating system; Electric heating; Heating oil; Renewable heat; Energy consumption; Natural gas; Waste management; Consumption (sociology); Primary energy; Greenhouse; Environmental engineering; Engineering; Hybrid heat; Mechanical engineering; Electrical engineering","score_opus":0.00315590857384513,"score_gpt":0.1519948508731744,"score_spread":0.14883894229932929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905967352","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":[0.9814078,0.00017160128,0.01684384,0.000018160634,0.0009406504,0.0000057265565,7.817211e-7,0.000012850098,0.0005985554],"genre_scores_gemma":[0.998651,0.00018723027,0.00091042405,0.000028371614,0.00015109956,8.038884e-7,0.0000041877615,0.000010142861,0.00005673145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996148,0.0000023699677,0.00015919373,0.00004408004,0.000105571926,0.000074012896],"domain_scores_gemma":[0.9999095,0.000008711649,0.00001058512,0.00003136608,0.0000054754782,0.000034345507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041484545,0.000067351175,0.000069309004,0.000119154305,0.000009178693,0.000013456111,0.00008640971,0.000037053145,0.000084490304],"category_scores_gemma":[0.0000020662317,0.0000687576,0.000022664695,0.000022725968,0.000016279448,0.00016331987,0.00001883262,0.000076929,3.4894302e-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":[0.000010891933,0.0000115209405,0.0025472972,8.5848046e-7,0.000035288613,0.000016716896,0.000073663374,0.9905552,0.004980608,0.00023273412,0.000017591434,0.0015176169],"study_design_scores_gemma":[0.00085984165,0.000100588164,0.022587512,0.00010626264,0.0000106921525,0.00034591454,0.00003646247,0.92853,0.019508457,0.0001908527,0.027468123,0.00025533777],"about_ca_topic_score_codex":0.00039615287,"about_ca_topic_score_gemma":0.0010444208,"teacher_disagreement_score":0.062025256,"about_ca_system_score_codex":0.00015204457,"about_ca_system_score_gemma":0.000004879578,"threshold_uncertainty_score":0.28038538},"labels":[],"label_agreement":null},{"id":"W2929406856","doi":"10.1007/s40095-019-0301-4","title":"Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district","year":2019,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","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":"Natural Resources Canada","funders":"","keywords":"Range (aeronautics); Smart grid; Automotive engineering; Distributed generation; Genetic algorithm; Driving range; Engineering; Electric vehicle; Computer science; Transport engineering; Power (physics); Renewable energy; Electrical engineering","score_opus":0.004142049663662053,"score_gpt":0.18282439819389476,"score_spread":0.1786823485302327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929406856","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":[0.9947214,0.00028078124,0.0048320545,0.000008314087,0.00010833054,0.00003933309,0.000003625416,0.0000022040447,0.000003943197],"genre_scores_gemma":[0.9996933,0.00017576733,0.00007862073,0.0000020253406,0.000035377147,6.581941e-7,0.0000068667287,0.0000054417856,0.0000019551458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995125,0.000011887353,0.00024190792,0.00004959562,0.00014127603,0.00004283022],"domain_scores_gemma":[0.9998233,0.000034200322,0.00008347502,0.000032591066,0.000011897054,0.000014558979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006137018,0.000061022107,0.00009024301,0.000100323174,0.000009004139,0.00001093115,0.000047489848,0.000033376615,0.000002960228],"category_scores_gemma":[0.000012474324,0.000049819388,0.000015572834,0.000060173632,0.0000067565306,0.00015538909,0.000018243292,0.0000682371,1.3143701e-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":[0.000014116446,0.000017222432,0.019552512,0.00000462403,0.000027981467,5.4997355e-7,0.00011844598,0.7640853,0.21148442,0.00003094519,0.0000015757861,0.0046623037],"study_design_scores_gemma":[0.00041359616,0.00007746988,0.2870568,0.000020767899,0.000009712362,0.000009130485,0.00007184634,0.69404286,0.018234346,0.000012751336,0.000013404143,0.00003732746],"about_ca_topic_score_codex":0.000021188342,"about_ca_topic_score_gemma":0.000008828717,"teacher_disagreement_score":0.2675043,"about_ca_system_score_codex":0.00004659067,"about_ca_system_score_gemma":0.0000027256929,"threshold_uncertainty_score":0.20315757},"labels":[],"label_agreement":null},{"id":"W2998309088","doi":"10.1007/s40095-019-00332-1","title":"Review on the cost optimization of microgrids via particle swarm optimization","year":2019,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Sizing; Particle swarm optimization; Mathematical optimization; Microgrid; Minification; Flexibility (engineering); Computer science; Economic dispatch; Operating cost; Multi-swarm optimization; Engineering; Power (physics); Electric power system; Mathematics; Artificial intelligence","score_opus":0.0028673293298486584,"score_gpt":0.16062794603816252,"score_spread":0.15776061670831387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998309088","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":[0.07743183,0.031247463,0.8889871,0.000503849,0.0012956675,0.00021087096,0.000020713118,0.000037896272,0.00026461593],"genre_scores_gemma":[0.9602331,0.03743393,0.0019898203,0.00020822951,0.000080769736,0.000003889937,0.000019813035,0.000017361614,0.000013107024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994262,0.000010716757,0.00027878207,0.00005657892,0.00015238169,0.000075372656],"domain_scores_gemma":[0.99974775,0.000041269457,0.00009195878,0.00006573206,0.000020540472,0.000032735166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105576386,0.00009153733,0.00012303508,0.0000495136,0.000011621166,0.000013408663,0.0001206116,0.00003052034,0.00014390418],"category_scores_gemma":[0.000009922529,0.00007157899,0.00005314665,0.000044863118,0.000013708421,0.00014030935,0.000018349641,0.000064764616,0.0000014770462],"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":[0.000014197777,0.000020759775,0.000092236194,0.000025243147,0.00007523282,0.0000013666327,0.000014715627,0.99002886,0.005553373,0.00008576779,0.00006119942,0.004027066],"study_design_scores_gemma":[0.00031241466,0.000040703446,0.00008356725,0.00030030133,0.000020065514,0.000034348603,0.000009788537,0.98890406,0.007821762,0.00000287229,0.0023959957,0.00007411166],"about_ca_topic_score_codex":0.0000013401284,"about_ca_topic_score_gemma":1.2700596e-7,"teacher_disagreement_score":0.8869973,"about_ca_system_score_codex":0.000049926883,"about_ca_system_score_gemma":0.0000029945284,"threshold_uncertainty_score":0.29189065},"labels":[],"label_agreement":null},{"id":"W3000045075","doi":"10.1007/s40095-019-00330-3","title":"Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia","year":2020,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Photovoltaic system; Renewable energy; Software deployment; Context (archaeology); Greenhouse gas; Environmental economics; Energy storage; Distributed generation; Electricity generation; Computer science; Electric power system; Engineering; Reliability engineering; Systems engineering; Power (physics); Electrical engineering","score_opus":0.019857011535619966,"score_gpt":0.24050471635211362,"score_spread":0.22064770481649365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000045075","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":[0.9560574,0.00015973147,0.043482322,0.000011105734,0.0002122491,0.000036926234,0.000025048743,0.000012035531,0.00000316791],"genre_scores_gemma":[0.9997455,0.00005575479,0.00008813858,0.00000399505,0.000078882,0.0000055865708,0.0000070982583,0.000011026795,0.000004019502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993327,0.000012336792,0.0003123554,0.00008411056,0.00018470192,0.000073782365],"domain_scores_gemma":[0.9997112,0.000049891278,0.000116904266,0.000069259804,0.000015543512,0.00003721062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052366042,0.00011284338,0.00020585455,0.00017031058,0.000016296683,0.000015794076,0.00010573413,0.00003691584,0.000005074385],"category_scores_gemma":[0.000015850163,0.00008717563,0.00011641348,0.00012333217,0.000019509425,0.000085935666,0.000031929587,0.000048245394,1.4917932e-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":[0.000027069475,0.000045594956,0.0034797306,0.000008167704,0.00156487,0.000037955157,0.00012526287,0.98038834,0.0139235845,0.000089718145,0.000016771177,0.0002929351],"study_design_scores_gemma":[0.0003996006,0.00017189542,0.0058120755,0.000012815244,0.00016579968,0.000034339966,0.00024838923,0.9898653,0.0031033824,0.0000011211422,0.00011219286,0.00007311042],"about_ca_topic_score_codex":0.00012463846,"about_ca_topic_score_gemma":0.0000045343763,"teacher_disagreement_score":0.043688085,"about_ca_system_score_codex":0.000091994014,"about_ca_system_score_gemma":0.0000028640127,"threshold_uncertainty_score":0.3554919},"labels":[],"label_agreement":null},{"id":"W3041724290","doi":"","title":"Energy Recovery Potential from Food Waste and Yard Waste in New York and Montréal","year":2020,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"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":"Yard; Food waste; Waste management; Environmental science; Environmental engineering; Engineering","score_opus":0.008691709773627767,"score_gpt":0.14911689427878594,"score_spread":0.14042518450515817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041724290","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":[0.9950161,0.0031341163,0.0008427233,0.00043993638,0.000370862,0.0000085227475,0.00003083146,0.0000030238718,0.00015388058],"genre_scores_gemma":[0.99733233,0.0013670626,0.00006530868,0.00017915743,0.00087272486,3.8935138e-7,0.000007880476,0.000008887607,0.00016628321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999491,0.000009276391,0.00019687029,0.00009298298,0.00013664157,0.00007322654],"domain_scores_gemma":[0.9997884,0.00001964784,0.00006493142,0.00002084634,0.0000051440848,0.00010102166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028801158,0.00008962932,0.00011892127,0.000061889405,0.000028634737,0.00008490905,0.00006109076,0.000026557253,0.00008738675],"category_scores_gemma":[0.000004907588,0.00008496642,0.000032157488,0.0000074476025,0.000032395626,0.00021260456,0.000059365502,0.00007011156,2.2633083e-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":[0.0025551892,0.0006049893,0.012826999,0.00007842419,0.0044362172,0.0015393926,0.027317496,0.2657874,0.23544735,0.105656676,0.0074103256,0.33633956],"study_design_scores_gemma":[0.01751832,0.003952857,0.021931427,0.0009503259,0.00037037634,0.0005261499,0.021071222,0.31447968,0.04031725,0.015137198,0.5610982,0.0026469547],"about_ca_topic_score_codex":0.00042550487,"about_ca_topic_score_gemma":0.000660204,"teacher_disagreement_score":0.55368793,"about_ca_system_score_codex":0.000024415152,"about_ca_system_score_gemma":0.000006772462,"threshold_uncertainty_score":0.34648302},"labels":[],"label_agreement":null},{"id":"W3208682347","doi":"10.1007/s40095-021-00443-8","title":"Optimal scheduling of residential building energy system under B2G, G2B and B2B operation modes","year":2021,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Smart Grid Energy Management","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 Ontario Institute of Technology","funders":"","keywords":"Renewable energy; Grid; Schedule; Tariff; Scheduling (production processes); Electricity; Profit (economics); Electric power system; Computer science; Engineering; Power (physics); Operations management; Business; Electrical engineering; Operating system","score_opus":0.003859337921211499,"score_gpt":0.17296526952817187,"score_spread":0.16910593160696039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208682347","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":[0.6426962,0.0017056797,0.35483596,0.000027376507,0.0005862806,0.000006965325,0.000003845534,0.000017631515,0.00012006292],"genre_scores_gemma":[0.98949003,0.0012582159,0.008871418,0.000014491757,0.00030125128,0.0000019292268,0.000010725499,0.000024946265,0.000026978392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991433,0.000012817323,0.0003503932,0.000110293615,0.00026898022,0.00011422751],"domain_scores_gemma":[0.99974847,0.00003103142,0.00006804959,0.00006616698,0.000020116973,0.000066187495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090462876,0.00013229248,0.0001672362,0.00015895224,0.000026040134,0.000049248458,0.00010603299,0.00005422815,0.00001600446],"category_scores_gemma":[0.00000713051,0.00014423643,0.000053194628,0.0000368634,0.000022706958,0.00028896984,0.00009750488,0.00007340664,1.4493993e-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":[0.000011155986,0.000011726976,0.0000989923,0.000020905938,0.00023630209,0.000054688175,0.000024841023,0.8485716,0.13894746,0.011295664,0.000008086906,0.0007185767],"study_design_scores_gemma":[0.0004910499,0.000024124281,0.0010315707,0.00017031716,0.00003868051,0.00035289678,0.0003073851,0.86346835,0.13309263,0.000027352973,0.0008418656,0.00015380915],"about_ca_topic_score_codex":0.000016006325,"about_ca_topic_score_gemma":0.0000038488943,"teacher_disagreement_score":0.34679383,"about_ca_system_score_codex":0.00013705553,"about_ca_system_score_gemma":0.0000075965127,"threshold_uncertainty_score":0.5881791},"labels":[],"label_agreement":null},{"id":"W4213155291","doi":"10.1007/s40095-021-00468-z","title":"Short-term PV power forecasting in India: recent developments and policy analysis","year":2022,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":27,"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":"FP7 International Cooperation; Deutsche Gesellschaft für Internationale Zusammenarbeit; Ministry of Power; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Canada Excellence Research Chairs, Government of Canada; Ministry of Earth Sciences; Ministry of New and Renewable Energy India; Carl von Ossietzky Universität Oldenburg","keywords":"Renewable energy; Electricity generation; Term (time); Variable renewable energy; Solar power; Electric power system; Environmental economics; Computer science; Engineering; Operations research; Meteorology; Environmental science; Power (physics); Economics; Geography; Electrical engineering","score_opus":0.007576900239634299,"score_gpt":0.20323875016331908,"score_spread":0.19566184992368477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213155291","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":[0.97218925,0.000309615,0.026944455,0.00013891095,0.00028616004,0.000013439249,0.000005021071,0.000004970526,0.00010818899],"genre_scores_gemma":[0.9978655,0.0003389648,0.0016180928,0.0001247138,0.000029406967,0.0000021217159,0.000006013382,0.0000037920925,0.000011413328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993823,0.000014096562,0.00019712541,0.00008720632,0.00023723596,0.00008199157],"domain_scores_gemma":[0.9998099,0.00002753799,0.00006302827,0.000039127914,0.000005717382,0.00005466231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013460305,0.00006181269,0.00008463006,0.00046538183,0.000037310852,0.0000376198,0.00019724164,0.000015421241,0.000020794334],"category_scores_gemma":[0.000011712002,0.00006612406,0.000029043036,0.00018155733,0.000007692753,0.0001984291,0.00020316089,0.00009263096,6.390516e-8],"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":[0.00004059332,0.00017793303,0.41801915,0.0000042669894,0.0009109369,0.00046868934,0.0025832562,0.49438155,0.0044260803,0.0065814597,0.000019947132,0.07238612],"study_design_scores_gemma":[0.0004907501,0.000054276476,0.8221949,0.000012365391,0.000014946862,0.00042980784,0.00009966868,0.16971083,0.0006123164,0.0001147622,0.006099736,0.00016567917],"about_ca_topic_score_codex":0.000007043801,"about_ca_topic_score_gemma":0.0000015666415,"teacher_disagreement_score":0.4041757,"about_ca_system_score_codex":0.0001816106,"about_ca_system_score_gemma":0.00001448645,"threshold_uncertainty_score":0.2696461},"labels":[],"label_agreement":null}]}