{"meta":{"query_hash":"0510afdc332e","filters":{"topic":"Electric Vehicles and Infrastructure"},"cohort_total":1544,"direct_labels_cover":1,"predictions_cover":1544,"exported":1544,"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/0510afdc332e","api":"https://metacan.xera.ac/api/v1/cohort?topic=Electric+Vehicles+and+Infrastructure"},"results":[{"id":"W116227890","doi":"","title":"INTEGRATION OF PLUG-IN HYBRID ELECTRIC VEHICLE WITH THE GRID USING VEHICLE-TO-HOME AND HOME-TO-VEHICLE CAPABILITIES","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Electric vehicle; Engineering; Battery (electricity); Grid energy storage; Electrical engineering; Energy storage; Electricity; Grid; Vehicle-to-grid; Electricity generation; Distributed generation; Power (physics); Renewable energy","score_opus":0.009389680794031777,"score_gpt":0.22319218169741095,"score_spread":0.21380250090337918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W116227890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15580635,0.0028092419,0.5507851,0.0014613528,0.001627207,0.00047688454,0.0006801835,0.016860357,0.26949328],"genre_scores_gemma":[0.88614964,0.0012025061,0.036475718,0.00040183717,0.00011687395,0.00015368254,0.00075549394,0.00029584835,0.07444837],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.000022782677,0.000008561644,0.000031641415,0.00006659595,0.000028309918],"domain_scores_gemma":[0.99992895,0.000004526405,0.0000036496253,0.00001597826,0.00003741249,0.000009447865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011077193,0.00034995584,0.00026685695,0.00019372269,0.00019156716,0.00074223446,0.0007251249,0.0002912445,0.0063546253],"category_scores_gemma":[0.00015960695,0.00012462639,0.00026895758,0.00019478175,0.00014425327,0.0010098548,0.0007215449,0.00038280702,0.0023706274],"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":[0.00048966345,0.0005086948,0.007997117,0.0008334664,0.0001929235,0.003330723,0.00054246624,0.0522913,0.09207836,0.051110342,0.06342085,0.72720414],"study_design_scores_gemma":[0.00012628251,0.0009978267,0.0055665793,0.00017774175,0.00014921279,0.0023296466,0.0007030715,0.28806955,0.07322888,0.020087248,0.6084621,0.00010174507],"about_ca_topic_score_codex":0.0020509055,"about_ca_topic_score_gemma":0.0025476485,"teacher_disagreement_score":0.0063546253,"about_ca_system_score_codex":0.00024384099,"about_ca_system_score_gemma":0.00027940853,"threshold_uncertainty_score":0.021258354},"labels":[],"label_agreement":null},{"id":"W1200343027","doi":"10.1007/s11116-015-9641-y","title":"The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric vehicle; Battery (electricity); Range (aeronautics); Driving range; Work (physics); Environmental economics; Business; Economics; Engineering; Power (physics)","score_opus":0.010513823297789753,"score_gpt":0.22139568486627081,"score_spread":0.21088186156848107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1200343027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977744,0.00004565613,0.000046265508,0.00009603813,9.079224e-7,0.000006500369,0.00010178262,0.000002655661,0.0019257186],"genre_scores_gemma":[0.99912363,0.00006169461,0.00007999126,0.000009768545,0.000002130057,0.000007480759,0.00011566338,0.0000016429128,0.0005979484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993992,0.00027398852,0.000024775012,0.000060354385,0.00008847398,0.00015313723],"domain_scores_gemma":[0.9943453,0.0039606974,0.0006840936,0.000116725525,0.00057779386,0.00031544818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007063938,0.0002034716,0.0002458193,0.00097574503,0.000812148,0.001131262,0.0006268743,0.0006118938,0.0040111695],"category_scores_gemma":[0.0046664225,0.00018747056,0.00035194488,0.0011495687,0.00058385415,0.0007849449,0.00054639415,0.0007633934,0.00021960135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005854322,0.0010761756,0.96831113,0.00006798017,0.00019404461,0.0023720644,0.0018782954,0.008640496,0.0007308236,0.0023310413,0.0022484218,0.011564125],"study_design_scores_gemma":[0.00009646842,0.00052041985,0.92578006,0.000060427614,0.00034547102,0.00093947724,0.02830294,0.03771788,0.0011059374,0.0007172231,0.004350687,0.000063021595],"about_ca_topic_score_codex":0.17660321,"about_ca_topic_score_gemma":0.27034736,"teacher_disagreement_score":0.17660321,"about_ca_system_score_codex":0.0020945577,"about_ca_system_score_gemma":0.0009852757,"threshold_uncertainty_score":0.3511505},"labels":[],"label_agreement":null},{"id":"W124237671","doi":"","title":"A Life Cycle Assessment of Diesel-Electric Hybrid Trucks and Conventional Diesel Trucks for Curbside Deliveries","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Diesel fuel; Automotive engineering; Tonne; Greenhouse gas; Fuel efficiency; Payload (computing); Engineering; Life-cycle cost analysis; Environmental science; Transport engineering; Waste management; Computer science","score_opus":0.022040515332421518,"score_gpt":0.3228682336036175,"score_spread":0.300827718271196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124237671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98826593,0.0004222385,0.004621877,0.000029583773,0.000007679124,0.00012717144,0.0020349827,0.000040248706,0.0044502635],"genre_scores_gemma":[0.9936585,0.00025768127,0.0023072101,0.000008840473,0.0000014430065,0.000050422466,0.0015696355,0.000015630552,0.0021306078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996774,0.000054469507,0.000015943315,0.000060247872,0.00013898482,0.00005290605],"domain_scores_gemma":[0.99939895,0.00019593009,0.000048011345,0.00003091013,0.00028930753,0.000036922254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000835804,0.0007097208,0.0003865311,0.0012434414,0.00039797928,0.0005555151,0.00075638277,0.00047158124,0.0015881456],"category_scores_gemma":[0.0009371816,0.00031131017,0.0010269993,0.000909962,0.00017719636,0.00059292663,0.00030407766,0.0002995518,0.00029401266],"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":[0.0010916473,0.00031064037,0.03479028,0.00045227312,0.0001724268,0.00038721992,0.00022958063,0.8889462,0.02348396,0.0009075174,0.0010858055,0.04814253],"study_design_scores_gemma":[0.00008562475,0.0037067777,0.085296676,0.00007535646,0.00028204947,0.00021059037,0.00073200534,0.8729075,0.027505778,0.00094676466,0.008140823,0.00011006247],"about_ca_topic_score_codex":0.07824533,"about_ca_topic_score_gemma":0.08309558,"teacher_disagreement_score":0.07824533,"about_ca_system_score_codex":0.0034532875,"about_ca_system_score_gemma":0.0010315994,"threshold_uncertainty_score":0.1555798},"labels":[],"label_agreement":null},{"id":"W1480387990","doi":"","title":"Anticipating PHEV Energy Impacts in California","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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":"Social Sciences and Humanities Research Council of Canada; California Energy Commission","keywords":"Groundwater recharge; Respondent; Electricity; Environmental economics; Environmental science; Natural resource economics; Automotive engineering; Engineering; Economics","score_opus":0.006151292231372864,"score_gpt":0.19067877616563766,"score_spread":0.1845274839342648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480387990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146724,0.00008643656,0.00054030423,0.00012586165,0.0000060766984,0.000019956526,0.0006960597,0.00002757614,0.0070305173],"genre_scores_gemma":[0.9980008,0.00008609926,0.00046455933,0.000025806166,0.0000029567382,0.000012253411,0.00065749895,0.0000043413847,0.0007457651],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994973,0.00006831336,0.000016248545,0.00014238487,0.00015408988,0.00012173377],"domain_scores_gemma":[0.9991799,0.00033390458,0.00014568889,0.00005143444,0.00020528169,0.00008380534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005579133,0.00019619573,0.00018305458,0.00032571706,0.0005247184,0.0015008585,0.00072303374,0.00043801303,0.002680161],"category_scores_gemma":[0.002064914,0.00028256266,0.00022798983,0.00065587164,0.00026337287,0.0008289555,0.00064382766,0.0005339798,0.00016366996],"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":[0.0002760557,0.00034532096,0.89503115,0.00012389531,0.00009477567,0.00057226204,0.0012119884,0.06636426,0.0014052273,0.002163079,0.006235784,0.026176296],"study_design_scores_gemma":[0.00004410968,0.0003431158,0.89275926,0.00007198453,0.00006971851,0.00013536777,0.008462608,0.083090015,0.0011389899,0.0016200976,0.012209421,0.000055244895],"about_ca_topic_score_codex":0.21445154,"about_ca_topic_score_gemma":0.37441674,"teacher_disagreement_score":0.21445154,"about_ca_system_score_codex":0.0020360867,"about_ca_system_score_gemma":0.0011363704,"threshold_uncertainty_score":0.42640662},"labels":[],"label_agreement":null},{"id":"W1487133505","doi":"10.3968/j.est.1923847920130602.2344","title":"Feasibility of Recharging Electric Vehicles With Photovoltaic Solar Panels","year":2013,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Renewable energy; Environmental economics; Automotive engineering; Electric vehicle; Electricity; Solar energy; Zero emission; Environmental science; Engineering; Business; Power (physics); Electrical engineering","score_opus":0.005617368029983152,"score_gpt":0.18730788267247978,"score_spread":0.18169051464249664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487133505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279916,0.000111846835,0.00397943,0.000038628434,0.000017279099,0.000026184884,0.00006164511,0.00005459876,0.0029111414],"genre_scores_gemma":[0.9988851,0.000027109747,0.00037623878,0.0000024473882,0.0000013961259,0.0000035938683,0.000026846292,0.0000035326348,0.00067372987],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997055,0.0000760234,0.000013674617,0.00003975059,0.00010186666,0.00006311325],"domain_scores_gemma":[0.99965787,0.00015764603,0.000029947687,0.00003473108,0.00009997149,0.000019916613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035103946,0.0002738355,0.00024216932,0.00036398772,0.0003195175,0.00045281328,0.00043372184,0.00044081736,0.0043842304],"category_scores_gemma":[0.00080485444,0.00012143253,0.0003215757,0.00030168987,0.00021152949,0.00060476124,0.00026643265,0.00022259222,0.0005285295],"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":[0.00563363,0.0009188371,0.06638601,0.0008621812,0.00020951571,0.001837868,0.00043947573,0.12014172,0.585873,0.0020385291,0.0015977948,0.21406142],"study_design_scores_gemma":[0.00024018808,0.007804622,0.07381275,0.00007708323,0.0003177075,0.00078603486,0.0030253406,0.1435192,0.75498587,0.0020390137,0.013315576,0.000076544726],"about_ca_topic_score_codex":0.0013329192,"about_ca_topic_score_gemma":0.0016845344,"teacher_disagreement_score":0.0043842304,"about_ca_system_score_codex":0.00027306794,"about_ca_system_score_gemma":0.00019121841,"threshold_uncertainty_score":0.0146666765},"labels":[],"label_agreement":null},{"id":"W1496762464","doi":"10.1109/vtcspring.2015.7145677","title":"An Adaptive Charging Algorithm for Electric Vehicles in Smart Grids","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Renewable energy; Smart grid; Computer science; Grid; Electrical load; Load balancing (electrical power); Term (time); Scheduling (production processes); Load profile; Load shifting; Real-time computing; Automotive engineering; Mathematical optimization; Engineering; Electricity; Electrical engineering; Voltage; Mathematics","score_opus":0.012213004015798416,"score_gpt":0.2203460381614886,"score_spread":0.20813303414569018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496762464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019047577,0.00022503795,0.9770345,0.00013020707,0.00009914403,0.00004879377,0.000020247371,0.00032961703,0.0030648229],"genre_scores_gemma":[0.8564265,0.0002383706,0.13902487,0.00011389254,0.00006565847,0.00010489803,0.00007067603,0.0000547143,0.0039005305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998087,0.00004692734,0.000012365093,0.000042808835,0.00005724261,0.00003198226],"domain_scores_gemma":[0.9997961,0.00008452972,0.000025422163,0.000016795813,0.000062723106,0.000014561067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037962478,0.0004578727,0.00054714043,0.00032849374,0.00044006482,0.0005567521,0.0007519442,0.0005471021,0.001963549],"category_scores_gemma":[0.0011002597,0.00020299992,0.0002984836,0.0004814567,0.00030747973,0.0006812795,0.00054432556,0.00055905833,0.0003058862],"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":[0.00009720406,0.00004406674,0.00045737266,0.000043092718,0.000018649174,0.000042449516,0.000050619125,0.8701476,0.0023750446,0.0095099555,0.0015926049,0.115621455],"study_design_scores_gemma":[0.0000076950255,0.000012097814,0.000037540005,0.000001324282,0.000001722153,0.0000092435375,0.0000049026366,0.99793386,0.00021445341,0.0013304171,0.00044445888,0.0000021915894],"about_ca_topic_score_codex":0.0033836933,"about_ca_topic_score_gemma":0.002610407,"teacher_disagreement_score":0.0033836933,"about_ca_system_score_codex":0.0004944993,"about_ca_system_score_gemma":0.00068471406,"threshold_uncertainty_score":0.0067279935},"labels":[],"label_agreement":null},{"id":"W1502203166","doi":"10.1109/tte.2015.2426508","title":"Design and Development of a Smart Control Strategy for Plug-In Hybrid Vehicles Including Vehicle-to-Home Functionality","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":93,"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; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; State of charge; Controller (irrigation); Engineering; Internal combustion engine; Electrification; Energy consumption; Fuzzy logic; Plug-in; Control engineering; Computer science; Electricity; Electrical engineering; Power (physics); Battery (electricity); Operating system","score_opus":0.0386601042834554,"score_gpt":0.24728173905778095,"score_spread":0.20862163477432555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502203166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010080334,0.00022696298,0.9817593,0.00010065266,0.00009761854,0.00016388146,0.000024604722,0.00038224144,0.0071644443],"genre_scores_gemma":[0.85748714,0.00034877364,0.13526976,0.0001287486,0.000054322834,0.0004062945,0.00007123109,0.000034386154,0.006199397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984956,0.000014122092,0.000010544788,0.000045996207,0.00006177165,0.000018090668],"domain_scores_gemma":[0.9998859,0.000017151177,0.000015564836,0.000008617297,0.00006397249,0.00000871806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022751316,0.00048289463,0.00034640072,0.00024075004,0.00030187602,0.0006759404,0.0007129635,0.0005005164,0.0017474596],"category_scores_gemma":[0.00023629887,0.00017309711,0.0003382223,0.000114643415,0.0002404211,0.00031523578,0.00031221492,0.0004580338,0.00036995078],"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":[0.00019260224,0.00028389087,0.0011538487,0.0006684291,0.00014547013,0.00058398687,0.00034110612,0.39591017,0.21562116,0.035595264,0.0035309184,0.3459732],"study_design_scores_gemma":[0.00004790392,0.00039865624,0.000600192,0.000032204967,0.000041409217,0.0001350792,0.000048351514,0.9650898,0.022053465,0.0023585153,0.009174373,0.000020072755],"about_ca_topic_score_codex":0.0022780155,"about_ca_topic_score_gemma":0.0021196161,"teacher_disagreement_score":0.0022780155,"about_ca_system_score_codex":0.00031780376,"about_ca_system_score_gemma":0.0005836664,"threshold_uncertainty_score":0.0058458447},"labels":[],"label_agreement":null},{"id":"W1515633367","doi":"10.1109/tste.2015.2460014","title":"Impact of Second-Generation Plug-In Battery Electric Vehicles on the Aging of Distribution Transformers Considering TOU Prices","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":44,"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":"Transformer; Distribution transformer; Automotive engineering; Electrical engineering; Electric vehicle; Engineering; Computer science; Voltage; Power (physics); Physics","score_opus":0.010400427352863782,"score_gpt":0.21465048984002438,"score_spread":0.2042500624871606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515633367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99217635,0.00026420865,0.004174338,0.00006808035,0.000028783108,0.000011387376,0.00012081365,0.00003880326,0.003117341],"genre_scores_gemma":[0.99943095,0.000067544424,0.00020903535,0.0000058674973,0.0000032945643,0.0000014548081,0.00002622157,0.000008374605,0.00024706163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999569,0.00010496291,0.000014075256,0.000056545105,0.00014236725,0.00011304261],"domain_scores_gemma":[0.9977627,0.0014245891,0.0002668267,0.00008526252,0.00039342474,0.00006721621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058506493,0.00041130077,0.00044506733,0.0003670653,0.00034876398,0.000828993,0.00037138897,0.00042466007,0.0016007614],"category_scores_gemma":[0.0027578664,0.00015217734,0.0004304658,0.00036251888,0.0003562032,0.0010232048,0.0004033023,0.00040954578,0.00019935773],"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":[0.0022834565,0.0002834944,0.079136565,0.00032225077,0.00023252948,0.0036595522,0.0003176065,0.7964227,0.05605381,0.0037946617,0.0012453891,0.05624809],"study_design_scores_gemma":[0.00005575798,0.0024387727,0.117052436,0.00005666678,0.0005749105,0.0018028729,0.0017996142,0.75416964,0.114734635,0.0029560598,0.0042575975,0.000101001635],"about_ca_topic_score_codex":0.0032291077,"about_ca_topic_score_gemma":0.0033782255,"teacher_disagreement_score":0.0032291077,"about_ca_system_score_codex":0.0006655253,"about_ca_system_score_gemma":0.00033388397,"threshold_uncertainty_score":0.0064206123},"labels":[],"label_agreement":null},{"id":"W1517262872","doi":"10.1109/tste.2015.2455554","title":"Probabilistic Impact of Transportation Electrification on the Loss-of-Life of Distribution Transformers in the Presence of Rooftop Solar Photovoltaic","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":80,"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":"Photovoltaic system; Transformer; Environmental science; Rooftop photovoltaic power station; Automotive engineering; Electrification; Solar irradiance; Distribution transformer; Electrical engineering; Engineering; Electricity; Voltage; Meteorology; Maximum power point tracking; Inverter; Physics","score_opus":0.009515713560029317,"score_gpt":0.22038200258831725,"score_spread":0.21086628902828794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517262872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679098,0.0004896207,0.026715416,0.00015913512,0.000016942517,0.000025459893,0.00036835935,0.00012284127,0.004192336],"genre_scores_gemma":[0.9993923,0.00006143404,0.0002964726,0.000004156206,0.0000020040204,0.0000028728396,0.0000595325,0.000005722447,0.00017550217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991819,0.00028440703,0.000028949238,0.00009356458,0.00024816598,0.00016306846],"domain_scores_gemma":[0.9952566,0.003151259,0.00079471106,0.00021364832,0.00048262702,0.00010115698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014441472,0.0004767065,0.00035619116,0.0006696998,0.00035631497,0.00094182865,0.0005655872,0.0005455558,0.0014257705],"category_scores_gemma":[0.004558188,0.00029593057,0.00055377616,0.00062937965,0.0006066161,0.0011370373,0.0008157398,0.00044923602,0.00015524933],"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":[0.00025061006,0.00003189083,0.021044005,0.00005299107,0.00007441845,0.00057982665,0.00005024769,0.966037,0.0028515882,0.001231859,0.00014692142,0.00764863],"study_design_scores_gemma":[0.000013394233,0.00036096948,0.034388483,0.000029007491,0.0001479466,0.00066022953,0.0002638515,0.9530423,0.0075291,0.002731617,0.00078105787,0.000052040537],"about_ca_topic_score_codex":0.0030636906,"about_ca_topic_score_gemma":0.0036288006,"teacher_disagreement_score":0.0030636906,"about_ca_system_score_codex":0.0009908949,"about_ca_system_score_gemma":0.00037104837,"threshold_uncertainty_score":0.007637441},"labels":[],"label_agreement":null},{"id":"W1527786716","doi":"10.4271/2001-01-3738","title":"An Environmental-Economic Evaluation of Hybrid Electric and Other Advanced Vehicles","year":2001,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 Toronto","funders":"Argonne National Laboratory; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Computer science","score_opus":0.00667883681681664,"score_gpt":0.2232461334762833,"score_spread":0.21656729665946667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527786716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8920549,0.005478174,0.003269631,0.0012170121,0.00016145509,0.0003742246,0.007953706,0.000046420948,0.08944451],"genre_scores_gemma":[0.9891425,0.0011217999,0.0009926553,0.000077287616,0.000055526612,0.00007331078,0.00223632,0.000014373685,0.00628616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969042,0.0014572259,0.00007732514,0.00016037826,0.0011583086,0.00024245674],"domain_scores_gemma":[0.9951556,0.0026432793,0.00030846696,0.00016654578,0.0015004668,0.00022573606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038912778,0.0006840677,0.00046280338,0.0030633805,0.00041449428,0.002025475,0.00047963933,0.00060908723,0.0046729026],"category_scores_gemma":[0.0051711104,0.00019072312,0.0012936076,0.0029069039,0.00060808175,0.001846836,0.00073631556,0.00059459667,0.000288917],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006733221,0.0028609135,0.112085305,0.0010709106,0.0012588566,0.000696237,0.00010514124,0.7189114,0.0035468407,0.041619323,0.010391076,0.10072078],"study_design_scores_gemma":[0.0010793812,0.015466129,0.4009338,0.00038288027,0.0015501815,0.00054300163,0.004117756,0.4809685,0.008685831,0.023307402,0.062679425,0.00028574717],"about_ca_topic_score_codex":0.022297809,"about_ca_topic_score_gemma":0.02467417,"teacher_disagreement_score":0.022297809,"about_ca_system_score_codex":0.004305355,"about_ca_system_score_gemma":0.0011216102,"threshold_uncertainty_score":0.04433602},"labels":[],"label_agreement":null},{"id":"W1536131206","doi":"","title":"Impact of Plug-in Hybrid Electric Vehicles and their optimal deployment in Smart Grids","year":2011,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"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 Waterloo","funders":"","keywords":"Automotive engineering; Software deployment; Schedule; Smart grid; Grid; Distribution grid; Plug-in; Computer science; Engineering; Voltage; Reliability engineering; Electrical engineering","score_opus":0.00700987544107124,"score_gpt":0.17174908382576837,"score_spread":0.16473920838469713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536131206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20166168,0.0012132003,0.7591942,0.0016648414,0.00013534755,0.00011055556,0.00024386663,0.00025966726,0.03551659],"genre_scores_gemma":[0.99054456,0.00038419737,0.0058343997,0.000041007323,0.000011176586,0.000033344597,0.000027477427,0.00002458489,0.003099185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949443,0.00025114248,0.000010099146,0.00005754597,0.00010879817,0.00007800432],"domain_scores_gemma":[0.99933845,0.0004175491,0.00010734256,0.000022323464,0.00007967731,0.000034682722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007216543,0.00067114795,0.0006393605,0.00035680595,0.00040273968,0.0014566927,0.0005366614,0.0008284824,0.0018745022],"category_scores_gemma":[0.0026964198,0.0006709031,0.00040965865,0.00039986172,0.0010079588,0.0018745521,0.0008453723,0.00057896296,0.00015687417],"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":[0.000018266792,0.0000058848823,0.00018308344,0.000012926859,0.000005775309,0.000039494254,0.000009598733,0.98843586,0.0002053449,0.009643419,0.00016345797,0.0012769144],"study_design_scores_gemma":[0.0000068749746,0.000019826899,0.00012602811,0.0000041187636,0.0000053371264,0.000010355115,0.00002407216,0.99426806,0.00014617314,0.0050357957,0.00034987932,0.0000034757709],"about_ca_topic_score_codex":0.009050575,"about_ca_topic_score_gemma":0.0068952483,"teacher_disagreement_score":0.009050575,"about_ca_system_score_codex":0.0016326039,"about_ca_system_score_gemma":0.00090803404,"threshold_uncertainty_score":0.017995775},"labels":[],"label_agreement":null},{"id":"W1543115274","doi":"10.1108/meq-03-2014-0049","title":"An outlook of electric vehicle daily use in the framework of an energy management system","year":2015,"lang":"en","type":"article","venue":"Management of Environmental Quality An International Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 de Sherbrooke","funders":"","keywords":"Tariff; Electric vehicle; Environmental economics; Electricity; Dynamic pricing; Energy management; Grid; Profit (economics); Computer science; Transport engineering; Business; Energy (signal processing); Engineering; Economics; Power (physics); Marketing; Microeconomics; Electrical engineering","score_opus":0.01507640721010837,"score_gpt":0.24796960422994577,"score_spread":0.2328931970198374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543115274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51088834,0.049069226,0.031327188,0.009204627,0.0013948978,0.00009152487,0.035418328,0.0011337919,0.36147207],"genre_scores_gemma":[0.9507948,0.012959244,0.0045893756,0.00023964533,0.00021731385,0.00004488752,0.007202224,0.000080392405,0.02387213],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997776,0.000047783145,0.000010228408,0.000038951108,0.00008718101,0.000038290367],"domain_scores_gemma":[0.9996325,0.000031022024,0.000045194927,0.00001635184,0.00023498901,0.000039983286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026175124,0.00042800786,0.00015900513,0.001254595,0.0002591669,0.0012322917,0.00023391092,0.00041743374,0.00613678],"category_scores_gemma":[0.00070065004,0.0000652615,0.00032069915,0.0017021691,0.00012513963,0.0013202382,0.00034613218,0.00046575416,0.0016253238],"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":[0.0007387503,0.00024295253,0.14190342,0.0019212851,0.00026573715,0.0012141477,0.0009959723,0.069397256,0.01335218,0.20588395,0.104348235,0.4597361],"study_design_scores_gemma":[0.00001399522,0.00039611966,0.2576154,0.0008592704,0.00012673622,0.0007034821,0.0024789849,0.03845256,0.0028017324,0.024646435,0.6718041,0.00010123681],"about_ca_topic_score_codex":0.008012176,"about_ca_topic_score_gemma":0.00838918,"teacher_disagreement_score":0.008012176,"about_ca_system_score_codex":0.0011305636,"about_ca_system_score_gemma":0.0005445718,"threshold_uncertainty_score":0.020529568},"labels":[],"label_agreement":null},{"id":"W1556508485","doi":"10.1109/itec.2015.7165764","title":"Assessment of distribution system margins to accommodate the penetration of plug-in electric vehicles","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Waterloo","funders":"","keywords":"Electrification; Penetration (warfare); Automotive engineering; Plug-in; Grid; Computer science; Environmental science; Contingency; Electric vehicle; Environmental economics; Electricity; Engineering; Electrical engineering; Operations research; Economics","score_opus":0.009083323157422957,"score_gpt":0.22914501873886697,"score_spread":0.220061695581444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556508485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87543297,0.0003000055,0.1027882,0.0002424637,0.000025199579,0.00016755742,0.0006478244,0.0003079075,0.02008788],"genre_scores_gemma":[0.9976133,0.000035568446,0.0018423224,0.000005558304,0.0000020087887,0.000014958839,0.00005503498,0.0000084892345,0.00042272586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99958366,0.00017384035,0.000013952227,0.000050028553,0.00011126992,0.000067179935],"domain_scores_gemma":[0.9991636,0.00041375565,0.00012764707,0.00005464974,0.00019792779,0.000042340704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010013989,0.0008678375,0.00038533245,0.0004418462,0.00027295758,0.00079369586,0.0005598852,0.00061130506,0.0014973255],"category_scores_gemma":[0.0023449745,0.00023793634,0.00041670338,0.00032941982,0.00027492634,0.0011186858,0.0006823312,0.0005320305,0.00015474478],"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":[0.00010779832,0.000023182967,0.0030401275,0.000025291281,0.000016971022,0.00006690044,0.000028238608,0.9873828,0.0023100448,0.0013975459,0.00016474506,0.0054362477],"study_design_scores_gemma":[0.000023498018,0.00031822166,0.006518233,0.000016352122,0.000039111244,0.00007735361,0.00014034727,0.986087,0.0031955247,0.002329731,0.001239037,0.000015475665],"about_ca_topic_score_codex":0.005354134,"about_ca_topic_score_gemma":0.004181539,"teacher_disagreement_score":0.005354134,"about_ca_system_score_codex":0.0012620324,"about_ca_system_score_gemma":0.00065191713,"threshold_uncertainty_score":0.010645926},"labels":[],"label_agreement":null},{"id":"W1561478780","doi":"10.1007/s11116-013-9486-1","title":"The return on investment for taxi companies transitioning to electric vehicles","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Revenue; Electricity; Profit (economics); Corporation; Battery electric vehicle; Investment (military); Electric vehicle; Miles per gallon gasoline equivalent; Return on investment; Transport engineering; Finance; Green vehicle; Business; Operations research; Engineering; Economics; Fuel efficiency; Automotive engineering; Microeconomics; Electrical engineering","score_opus":0.006589753833719515,"score_gpt":0.1954212518749775,"score_spread":0.18883149804125798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561478780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970249,0.0013865705,0.0005086449,0.0048003304,0.0001227099,0.000033845525,0.0010890755,0.00003982569,0.021769954],"genre_scores_gemma":[0.9940849,0.00053906016,0.000084410654,0.00017572418,0.00002674188,0.0000056151566,0.00044216757,0.0000054139036,0.0046358993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919826,0.0001261434,0.000029862578,0.00004616371,0.00015573954,0.00044384517],"domain_scores_gemma":[0.9958215,0.00089039287,0.001079371,0.00010001728,0.0007362047,0.0013725548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076093525,0.000259053,0.00017539151,0.0006845992,0.00050451147,0.0025064335,0.00036132435,0.0017689293,0.007746922],"category_scores_gemma":[0.005754056,0.00016557665,0.0005792798,0.00068245217,0.00038176912,0.0014052304,0.0006599668,0.0020089583,0.000981782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006152254,0.0014148445,0.7521041,0.00026906485,0.00046950855,0.0041109566,0.00084429135,0.023062058,0.0045326864,0.037805505,0.025781214,0.14345358],"study_design_scores_gemma":[0.00030984625,0.0028189435,0.86196357,0.0003290475,0.00045791696,0.0031657,0.014140204,0.025451044,0.005318631,0.019243617,0.06664523,0.00015621989],"about_ca_topic_score_codex":0.009975307,"about_ca_topic_score_gemma":0.017690957,"teacher_disagreement_score":0.009975307,"about_ca_system_score_codex":0.0024290057,"about_ca_system_score_gemma":0.0016924291,"threshold_uncertainty_score":0.0259161},"labels":[],"label_agreement":null},{"id":"W1563261494","doi":"","title":"Is Awareness of Public Charging Associated with Consumer Interest in Plug-in Electric Vehicles?","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bivariate analysis; Visibility; Purchasing; Sample (material); Public interest; Advertising; Business; Marketing; Geography; Statistics; Political science; Mathematics","score_opus":0.09247041591584387,"score_gpt":0.34090772596480917,"score_spread":0.2484373100489653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563261494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947641,0.00029742604,0.00007929837,0.00078629475,0.000008091257,0.000008267163,0.00023964631,0.0000036093593,0.0038132144],"genre_scores_gemma":[0.9992925,0.00015244553,0.000040800216,0.000064834654,0.000008233758,0.0000021886017,0.00010966039,0.0000012123571,0.00032802517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993318,0.00007975644,0.00003786883,0.00008685374,0.00023874748,0.00022492297],"domain_scores_gemma":[0.9929126,0.0012845707,0.003372636,0.0002796767,0.0013085268,0.00084197934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007609142,0.000103994644,0.00021994207,0.00084484316,0.00044605252,0.0014867675,0.0005370063,0.00071879965,0.004841732],"category_scores_gemma":[0.0066494984,0.00019084428,0.0004933536,0.001454144,0.0008985868,0.00063277135,0.00033841227,0.0008902938,0.00027472485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035407396,0.000054308774,0.995184,0.000013802621,0.000026066306,0.00005713465,0.00044406278,0.000028012417,0.000056668017,0.00009317929,0.0002219305,0.0037853988],"study_design_scores_gemma":[0.0000010045576,0.000009556918,0.99875855,0.000010484265,0.000013060552,0.000039181454,0.00077884144,0.00007799344,0.000027036374,0.000033187825,0.00024791513,0.0000031636482],"about_ca_topic_score_codex":0.5196635,"about_ca_topic_score_gemma":0.51728725,"teacher_disagreement_score":0.5196635,"about_ca_system_score_codex":0.0026482882,"about_ca_system_score_gemma":0.0027627584,"threshold_uncertainty_score":0.9663306},"labels":[],"label_agreement":null},{"id":"W1572734186","doi":"10.1002/wcm.2508","title":"Multi‐priority queuing for electric vehicles charging at public supply stations with price variation","year":2014,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"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 de Sherbrooke","funders":"","keywords":"Computer science; Queueing theory; Charging station; Queue; Grid; Electric vehicle; Operations research; Smart grid; Public transport; Service (business); Real-time computing; Simulation; Computer network; Transport engineering; Electrical engineering","score_opus":0.010046294421908731,"score_gpt":0.22789101037364132,"score_spread":0.21784471595173258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572734186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11477851,0.0005422032,0.8800614,0.0007571662,0.00024626253,0.00013060393,0.000108258246,0.00040032933,0.0029753253],"genre_scores_gemma":[0.9737955,0.00019466685,0.0232433,0.000070954986,0.000074762014,0.00004764374,0.00006222383,0.00003398074,0.0024769774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814844,0.00064902415,0.00008835095,0.00026835772,0.0003407095,0.00050518534],"domain_scores_gemma":[0.99619734,0.0024631321,0.0004200978,0.00013597973,0.0005275464,0.00025596918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028967794,0.0009080314,0.0013497274,0.0006703907,0.0012820972,0.002131284,0.0026342787,0.0012532347,0.0031898436],"category_scores_gemma":[0.004724363,0.000729407,0.00088495325,0.0011342971,0.00087254675,0.001378467,0.0009528719,0.001446936,0.0002834647],"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":[0.00019152211,0.00009410776,0.0007908104,0.000042476306,0.000028651415,0.00012245274,0.000049362832,0.9770964,0.0012854104,0.011799132,0.0006894706,0.007810223],"study_design_scores_gemma":[0.000009540913,0.000015039883,0.00005844691,0.00000100703,0.0000045651022,0.00000501631,0.000008680534,0.9986858,0.00010380231,0.0010298617,0.00007426606,0.0000039458305],"about_ca_topic_score_codex":0.024373347,"about_ca_topic_score_gemma":0.017499978,"teacher_disagreement_score":0.024373347,"about_ca_system_score_codex":0.0038564627,"about_ca_system_score_gemma":0.0030021057,"threshold_uncertainty_score":0.048462987},"labels":[],"label_agreement":null},{"id":"W1575495683","doi":"10.1109/ptc.2015.7232508","title":"Day-ahead dispatch of distribution feeders considering temporal uncertainties of PEVs","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monte Carlo method; Capacitor; Transformer; Computer science; Automotive engineering; Electric vehicle; Mathematical optimization; Plug-in; Simulation; Control theory (sociology); Engineering; Power (physics); Voltage; Mathematics; Electrical engineering; Statistics; Artificial intelligence","score_opus":0.013456612637869535,"score_gpt":0.21260339214695148,"score_spread":0.19914677950908194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575495683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22600979,0.0001907575,0.7685165,0.00018512846,0.00006216801,0.000087729575,0.00028723478,0.0003459407,0.004314776],"genre_scores_gemma":[0.9735128,0.00003885587,0.02543328,0.000013913169,0.000014848775,0.000031453303,0.00012366778,0.000025280862,0.00080590777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976295,0.0000805218,0.000011035374,0.000049454335,0.000060098424,0.000035968915],"domain_scores_gemma":[0.99939406,0.00037069552,0.000081399674,0.000035143905,0.00007574183,0.000043004635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859684,0.0006070114,0.00083511975,0.00035370945,0.00038174234,0.0006370555,0.000831443,0.00053797563,0.0012243155],"category_scores_gemma":[0.001865645,0.00046764754,0.0003630873,0.00044083415,0.00029757264,0.00063733576,0.00038765438,0.00069277006,0.00011114384],"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":[0.00003602291,0.000009835209,0.00035804242,0.000008109735,0.000011636718,0.000032011798,0.000011733815,0.9923403,0.00025698627,0.0007340048,0.00010666489,0.0060945307],"study_design_scores_gemma":[0.0000025725024,0.000009565556,0.00015037735,5.5440944e-7,0.0000020914174,0.0000037635073,0.0000062040986,0.9991848,0.0000916336,0.00046283012,0.0000839897,0.0000015947322],"about_ca_topic_score_codex":0.011810565,"about_ca_topic_score_gemma":0.01434158,"teacher_disagreement_score":0.011810565,"about_ca_system_score_codex":0.0007742362,"about_ca_system_score_gemma":0.0010174651,"threshold_uncertainty_score":0.023483634},"labels":[],"label_agreement":null},{"id":"W1580208635","doi":"10.1002/9780470970751.ch2","title":"Energy Storage Systems","year":2010,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"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":"Energy storage; Hydrogen storage; Energy (signal processing); Computer science; Computer data storage; Chemistry; Operating system; Physics; Hydrogen; Thermodynamics","score_opus":0.0023318445459650583,"score_gpt":0.15930112372164026,"score_spread":0.1569692791756752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580208635","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015739089,0.012803454,0.061008554,0.0017569829,0.002337742,0.0003891138,0.006370308,0.0035088041,0.8960858],"genre_scores_gemma":[0.19270869,0.016918141,0.030892454,0.0007377455,0.00064995297,0.0002978272,0.008366495,0.000572784,0.7488559],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998,0.000015399233,0.00001339046,0.000038969483,0.000108906606,0.000023351393],"domain_scores_gemma":[0.9998847,0.000014541152,0.0000052816363,0.000029092638,0.000059841674,0.0000065792983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020896876,0.0005968189,0.00048089985,0.00076592667,0.0007141879,0.001629578,0.00086280424,0.000544059,0.07320968],"category_scores_gemma":[0.0002944688,0.00019367799,0.00037749828,0.0013909711,0.0002686575,0.0023395414,0.00095296506,0.0005460172,0.026364427],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002352021,0.00014368526,0.0005933575,0.0012738232,0.000047468624,0.00018537632,0.00017774687,0.008485872,0.027120473,0.13048431,0.17617182,0.65508085],"study_design_scores_gemma":[0.000026764432,0.00009962826,0.000665778,0.00017770365,0.000023198189,0.00026704094,0.00013090855,0.007579915,0.021455383,0.01799849,0.95155317,0.00002208189],"about_ca_topic_score_codex":0.0012435948,"about_ca_topic_score_gemma":0.001866774,"teacher_disagreement_score":0.07320968,"about_ca_system_score_codex":0.00066322344,"about_ca_system_score_gemma":0.00071268267,"threshold_uncertainty_score":0.24491078},"labels":[],"label_agreement":null},{"id":"W1583587114","doi":"10.4271/2009-01-1331","title":"Report on the Field Performance of A123Systems’ Hymotion™ Plug-In Conversion Module for the Toyota Prius","year":2009,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Idaho National Laboratory; U.S. Department of Energy","keywords":"Field (mathematics); Automotive engineering; Computer science; Engineering; Mathematics","score_opus":0.0067030441068111225,"score_gpt":0.21346078520360354,"score_spread":0.2067577410967924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583587114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485653,0.0005471942,0.014371479,0.00028723953,0.00013597627,0.000587355,0.0071230642,0.0021655746,0.02621675],"genre_scores_gemma":[0.95839095,0.00027375613,0.008335128,0.000122005535,0.000025293217,0.00021792194,0.014101855,0.00017415392,0.018358935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994054,0.00006947373,0.00003088393,0.00008348559,0.00032426184,0.00008656129],"domain_scores_gemma":[0.99788815,0.00016586062,0.00009841369,0.00012813513,0.00161423,0.00010520034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012875666,0.0006534234,0.00041572496,0.0007954323,0.0006220236,0.00065199204,0.00057693495,0.00036495153,0.005711421],"category_scores_gemma":[0.0009988681,0.00019108062,0.0003221655,0.0003764141,0.00031860406,0.0007074569,0.0003210479,0.0005588444,0.002344341],"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":[0.003541393,0.0029844977,0.1073473,0.0010852142,0.00022744985,0.00073243445,0.0010663507,0.0060890047,0.587248,0.00072286994,0.06170844,0.22724707],"study_design_scores_gemma":[0.00031653233,0.018318158,0.32564145,0.00012131095,0.0002798577,0.0009197637,0.0014911807,0.008316135,0.5486693,0.00034838053,0.095434226,0.00014374549],"about_ca_topic_score_codex":0.007732065,"about_ca_topic_score_gemma":0.0133466255,"teacher_disagreement_score":0.007732065,"about_ca_system_score_codex":0.00090701936,"about_ca_system_score_gemma":0.0006540134,"threshold_uncertainty_score":0.019106567},"labels":[],"label_agreement":null},{"id":"W1591147452","doi":"10.1109/appeec.2014.7066199","title":"A comprehensive framework for unidirectional vehicle-to-grid regulation services","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Saskatchewan","funders":"","keywords":"Vehicle-to-grid; Grid; Profit (economics); Computer science; Service (business); Electric vehicle; Electric power system; Automotive engineering; Transport engineering; Distributed computing; Business; Power (physics); Engineering; Microeconomics; Economics","score_opus":0.0059131159013048815,"score_gpt":0.21288887365312376,"score_spread":0.20697575775181887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591147452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036523999,0.00052728725,0.96452343,0.0013598722,0.00010812155,0.00022733201,0.0002601748,0.00021963828,0.029121777],"genre_scores_gemma":[0.3809974,0.0022782912,0.6008976,0.0005629875,0.00046567153,0.0007758765,0.00059342413,0.00017056167,0.013258213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99635893,0.0012683794,0.0002451754,0.0005864202,0.0011732863,0.0003678326],"domain_scores_gemma":[0.9980901,0.00052520033,0.00023835285,0.000255182,0.0006651264,0.00022610935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042988225,0.0015928335,0.00096423016,0.0026472644,0.0016640772,0.005500975,0.0031335216,0.0028397741,0.0057619563],"category_scores_gemma":[0.0043328307,0.0006426506,0.0017695298,0.0020315873,0.002506176,0.006016072,0.004284144,0.0029638489,0.0016861985],"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":[0.000009173948,0.000047563393,0.0004050622,0.00006227602,0.000015885755,0.0002074403,0.00013974591,0.0508944,0.0005806065,0.9331487,0.0024564308,0.012032644],"study_design_scores_gemma":[0.000017258226,0.00010999586,0.0006372253,0.00023176345,0.000037230304,0.0004633992,0.0003586343,0.40302873,0.00068211317,0.53948873,0.05487661,0.00006832222],"about_ca_topic_score_codex":0.011349311,"about_ca_topic_score_gemma":0.009257813,"teacher_disagreement_score":0.011349311,"about_ca_system_score_codex":0.0031045554,"about_ca_system_score_gemma":0.003955892,"threshold_uncertainty_score":0.022734582},"labels":[],"label_agreement":null},{"id":"W1592090296","doi":"","title":"Active power control of smart grids Using Plug-in Hybrid Electric Vehicle","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Engineering; Power (physics); Power factor; Electrical engineering; AC power; Smart grid; Automotive engineering; Voltage; Power control; Voltage optimisation; Control theory (sociology); Computer science; Control (management)","score_opus":0.004740174836335338,"score_gpt":0.19593216764665064,"score_spread":0.1911919928103153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592090296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06366306,0.00037371714,0.9237323,0.00018527087,0.00015754791,0.00009481075,0.000046552024,0.0013456247,0.010401108],"genre_scores_gemma":[0.985233,0.000101187354,0.012471477,0.00003837366,0.000026403324,0.00004715267,0.000024717108,0.000019399162,0.0020382584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000045086374,0.000012831406,0.00003886203,0.00006620281,0.000018357225],"domain_scores_gemma":[0.99981815,0.00006121926,0.00003545668,0.000014338506,0.000060402548,0.000010456006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002826141,0.00033595058,0.00036330268,0.00025221534,0.0002545954,0.0007211915,0.00056070706,0.00024984637,0.0015896495],"category_scores_gemma":[0.00030851742,0.0001510235,0.00015881132,0.00020833153,0.00034824302,0.00042907713,0.0002921904,0.00025340318,0.00025898239],"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":[0.0007362891,0.0002531862,0.0023741107,0.000502564,0.00015180398,0.0003647768,0.00039836598,0.5973389,0.03550559,0.028998181,0.0048959036,0.3284803],"study_design_scores_gemma":[0.00007245829,0.0002287798,0.00047390015,0.0000141743585,0.000025884088,0.000061010534,0.00004173934,0.98399144,0.0065261805,0.0045710555,0.0039810454,0.000012363426],"about_ca_topic_score_codex":0.001424304,"about_ca_topic_score_gemma":0.00224569,"teacher_disagreement_score":0.0015896495,"about_ca_system_score_codex":0.00027806277,"about_ca_system_score_gemma":0.00023032856,"threshold_uncertainty_score":0.0053179264},"labels":[],"label_agreement":null},{"id":"W1593427113","doi":"10.1109/ccece.2015.7129164","title":"Modeling and optimization of PHEV charging queues","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Queueing theory; Queue; Battery (electricity); Computer science; Driving range; Charging station; Automotive engineering; Energy consumption; State of charge; Range (aeronautics); Quality of service; Markov process; Simulation; Electric vehicle; Real-time computing; Engineering; Computer network; Electrical engineering","score_opus":0.009981644533426669,"score_gpt":0.19584086972949297,"score_spread":0.1858592251960663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593427113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28518552,0.0010704728,0.68210405,0.0011048134,0.00019235323,0.00025473186,0.0008408288,0.00061047525,0.028636737],"genre_scores_gemma":[0.9792726,0.0003479623,0.012292489,0.0000658891,0.000029693276,0.00012839191,0.00018701232,0.000043559678,0.007632453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993691,0.00015925308,0.000025257666,0.00010068709,0.00009437475,0.0002514225],"domain_scores_gemma":[0.9990957,0.0005194839,0.00009958821,0.00002985265,0.00017198439,0.00008344555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077848835,0.00088636216,0.0011217993,0.0005068782,0.0007591777,0.0017856277,0.0014128912,0.0014154257,0.0033640296],"category_scores_gemma":[0.0018431031,0.00070095825,0.00087249227,0.0007540704,0.0006451464,0.00088278676,0.00088728656,0.0009661894,0.0002855498],"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":[0.000017810016,0.000011120995,0.0002346106,0.0000086006485,0.0000054704096,0.000022441516,0.000007565108,0.99707425,0.00018140179,0.0015387605,0.00014061936,0.00075732754],"study_design_scores_gemma":[0.0000036024303,0.000007110841,0.000060948096,8.0309985e-7,0.0000022550355,0.0000021194487,0.0000064658743,0.9993474,0.000046566238,0.00045032703,0.000070629736,0.0000016913743],"about_ca_topic_score_codex":0.035962775,"about_ca_topic_score_gemma":0.015348908,"teacher_disagreement_score":0.035962775,"about_ca_system_score_codex":0.002436101,"about_ca_system_score_gemma":0.0030956885,"threshold_uncertainty_score":0.07150686},"labels":[],"label_agreement":null},{"id":"W1623569233","doi":"10.1109/pesgm.2015.7286166","title":"Development of stochastic models for assessing the impact of Electric Vehicles in distribution grids","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Software deployment; Computer science; Independence (probability theory); Automotive engineering; Stochastic modelling; Electric vehicle; Distribution (mathematics); Power (physics); Engineering; Business; Physics; Mathematics","score_opus":0.02048295796110243,"score_gpt":0.269409936105974,"score_spread":0.24892697814487158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1623569233","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074645646,0.00033023974,0.9176499,0.00037744208,0.000048854956,0.00012574236,0.0005118703,0.00023341028,0.006076927],"genre_scores_gemma":[0.93435395,0.0007990576,0.059748985,0.000079232566,0.00008188157,0.0003144297,0.0005637705,0.00006290651,0.0039957357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992126,0.0003927637,0.000034996,0.00008195815,0.00016791864,0.00010969304],"domain_scores_gemma":[0.99670583,0.002368436,0.0003845966,0.00008619658,0.000358209,0.00009667323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018510347,0.0011738368,0.0008829596,0.0009003498,0.00044853808,0.0010795519,0.0015438308,0.0011815075,0.0015816687],"category_scores_gemma":[0.0066818474,0.000775956,0.0010874283,0.0007539371,0.0007221596,0.0009415043,0.00088808715,0.0013837367,0.0001660825],"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":[0.0000026439643,0.000004252272,0.00018164962,0.0000033117547,0.000004268939,0.0000066947537,0.0000030426852,0.99617946,0.000044958648,0.003089154,0.000044515156,0.00043607157],"study_design_scores_gemma":[0.0000017563118,0.000004557612,0.000057627436,0.000001837989,0.000002282931,0.0000021133649,0.0000039084875,0.9983707,0.000031141706,0.0014466296,0.000075339834,0.000002112192],"about_ca_topic_score_codex":0.040997453,"about_ca_topic_score_gemma":0.029088905,"teacher_disagreement_score":0.040997453,"about_ca_system_score_codex":0.0023640674,"about_ca_system_score_gemma":0.0020881104,"threshold_uncertainty_score":0.08151764},"labels":[],"label_agreement":null},{"id":"W1641487225","doi":"10.1109/pesgm.2015.7286638","title":"Demand responce through interactive incorporation of plug-in electric vehicles","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"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 Waterloo","funders":"","keywords":"News aggregator; Smart grid; Computer science; Plug-in; Grid; Dual (grammatical number); Electric vehicle; Preference; Demand response; Operations research; Engineering; Electrical engineering; Electricity; Operating system","score_opus":0.01184167090967308,"score_gpt":0.23026647471161954,"score_spread":0.21842480380194645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1641487225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24459277,0.00014950341,0.71277416,0.0003420328,0.0001346309,0.00018166793,0.00018787262,0.0030294482,0.03860791],"genre_scores_gemma":[0.98300534,0.00002350503,0.013521299,0.000021391228,0.000011732665,0.000027144217,0.000052554187,0.00004461637,0.0032923913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975985,0.00007425856,0.000012626044,0.00005326979,0.000058053556,0.000041936608],"domain_scores_gemma":[0.99975437,0.00010477234,0.000025381567,0.000029539347,0.00006027872,0.000025620187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681495,0.0006637929,0.0003432815,0.00028250663,0.00031081046,0.0008656849,0.00088385143,0.0004197623,0.0047600293],"category_scores_gemma":[0.00076586206,0.00033763226,0.00027883478,0.0002623839,0.00022224846,0.00082382717,0.00082031614,0.00048418515,0.00056644634],"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":[0.0005014969,0.00041707043,0.0043454804,0.00014207914,0.00007342813,0.00039604533,0.000335519,0.82608277,0.022947239,0.00769704,0.0029171489,0.1341446],"study_design_scores_gemma":[0.0000118592825,0.00006512324,0.0005303673,0.0000046167165,0.000012411093,0.00002770923,0.0000583362,0.99226236,0.0026672448,0.0013555336,0.0029942184,0.000010224598],"about_ca_topic_score_codex":0.0031784773,"about_ca_topic_score_gemma":0.0072369594,"teacher_disagreement_score":0.0047600293,"about_ca_system_score_codex":0.00034532332,"about_ca_system_score_gemma":0.00036290946,"threshold_uncertainty_score":0.015923858},"labels":[],"label_agreement":null},{"id":"W1654234554","doi":"10.1109/pesgm.2015.7286203","title":"Modeling of PEV charging load using queuing analysis and its impact on distribution system operation","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Waterloo","funders":"University of Toronto","keywords":"Queueing theory; Computer science; Distribution (mathematics); Automotive engineering; Engineering; Computer network; Mathematics","score_opus":0.012917150595154251,"score_gpt":0.24250537962617727,"score_spread":0.22958822903102302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1654234554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118939534,0.00033571405,0.8730225,0.0003796888,0.00012444364,0.00014338245,0.00031778694,0.00047158764,0.0062652924],"genre_scores_gemma":[0.97913927,0.00034077186,0.016853712,0.000048065813,0.000044561806,0.00006986416,0.00012484315,0.00006267219,0.0033161745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915135,0.00022450734,0.000041871932,0.0001451789,0.00021960384,0.00021742159],"domain_scores_gemma":[0.99896395,0.00058584416,0.00013653382,0.000046178466,0.0002137781,0.00005365948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010726991,0.0011112123,0.0007334603,0.0007216639,0.0007259024,0.001413818,0.0016515952,0.0008310858,0.002156955],"category_scores_gemma":[0.0020586653,0.00054202246,0.0008431479,0.0007514997,0.00050943345,0.001791708,0.0006616663,0.0009905734,0.0002276883],"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":[0.000023282371,0.000032933323,0.0008653892,0.0000135907485,0.000013951682,0.000041205698,0.000024083598,0.99082446,0.0009888358,0.0038183325,0.0001800795,0.00317392],"study_design_scores_gemma":[0.0000013252733,0.000008558938,0.00012531986,9.620269e-7,0.000003272141,0.000004314817,0.0000066797584,0.99908864,0.00015567955,0.0005112604,0.00009126548,0.000002772156],"about_ca_topic_score_codex":0.035862803,"about_ca_topic_score_gemma":0.019804953,"teacher_disagreement_score":0.035862803,"about_ca_system_score_codex":0.0023639752,"about_ca_system_score_gemma":0.002295365,"threshold_uncertainty_score":0.071308136},"labels":[],"label_agreement":null},{"id":"W1669756456","doi":"10.1109/pesgm.2015.7286404","title":"Smart charging of PEVs penetrating into residential distribution systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Probabilistic logic; Computer science; Voltage; Plug-in; Electric vehicle; Automotive engineering; Node (physics); Power (physics); Simulation; Electrical engineering; Engineering","score_opus":0.008124655570907236,"score_gpt":0.20503147903344995,"score_spread":0.1969068234625427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1669756456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08102454,0.0000912727,0.91029483,0.00012667681,0.000022801529,0.00005506965,0.00010416613,0.00022657265,0.008054038],"genre_scores_gemma":[0.9847252,0.00014661757,0.011384896,0.000026781374,0.000013802604,0.000038911712,0.000056074558,0.000029911393,0.0035777902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973994,0.000093019415,0.0000074478185,0.00004622668,0.000074732794,0.000038678314],"domain_scores_gemma":[0.9998635,0.000063814085,0.000022407154,0.000017253358,0.000026654337,0.000006245213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026166215,0.00042860644,0.00048296756,0.00025018962,0.00030835776,0.00062736805,0.0006375515,0.00053188874,0.0018760791],"category_scores_gemma":[0.0007423398,0.00028567016,0.0004521695,0.00034118362,0.0004560348,0.0012860867,0.00041937336,0.0005239015,0.00018561841],"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":[0.000018380044,0.000010345304,0.00033463436,0.000013474573,0.0000056995987,0.000046762274,0.000020143607,0.9864611,0.0010791097,0.0072904374,0.00017255038,0.0045473264],"study_design_scores_gemma":[0.0000021948927,0.000012183974,0.000120833196,0.0000012618208,0.0000019815743,0.000012861234,0.00001119873,0.9966959,0.0002121085,0.0025518609,0.0003760251,0.0000017499777],"about_ca_topic_score_codex":0.0060424455,"about_ca_topic_score_gemma":0.0050727013,"teacher_disagreement_score":0.0060424455,"about_ca_system_score_codex":0.00071827066,"about_ca_system_score_gemma":0.00049990613,"threshold_uncertainty_score":0.012014568},"labels":[],"label_agreement":null},{"id":"W1679576089","doi":"10.1109/pesgm.2015.7285829","title":"Electric vehicle capacity forecasting model with application to load levelling","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; China Scholarship Council; Queen's University; Queen's University Belfast","keywords":"Levelling; Computer science; Scale (ratio); Electric vehicle; Stochastic modelling; Power (physics); Automotive engineering; Operations research; Engineering; Mathematics","score_opus":0.025685410838532374,"score_gpt":0.197876795782428,"score_spread":0.17219138494389563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1679576089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46988204,0.00063662004,0.49425957,0.0012859538,0.00015277103,0.00011191644,0.0015793158,0.0011122158,0.03097968],"genre_scores_gemma":[0.98922986,0.00012861937,0.006479223,0.000026119698,0.000016774176,0.00003871161,0.00028014983,0.00002136195,0.003779209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985373,0.0000364842,0.000008714887,0.000038641127,0.000033913933,0.000028495768],"domain_scores_gemma":[0.99970764,0.0001280229,0.000043120235,0.000014928128,0.00008781977,0.0000184069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003788585,0.00046043532,0.00059734075,0.00033393365,0.00045285834,0.0007217364,0.0009870125,0.0010044053,0.001737734],"category_scores_gemma":[0.0008924297,0.0003313655,0.00040170323,0.0006475615,0.00032478152,0.0006860469,0.00034601372,0.0007764532,0.00022515966],"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":[0.000007899982,0.000003513796,0.00023127702,0.000002890877,0.000002787845,0.000017753022,0.0000057264374,0.99767154,0.00008408256,0.00051993603,0.00011357714,0.0013388965],"study_design_scores_gemma":[8.4158296e-7,0.0000029254313,0.00009102486,7.131335e-7,0.000001219329,0.0000026760224,0.0000024745812,0.9995592,0.00003736903,0.00022986776,0.00006962843,0.0000020699297],"about_ca_topic_score_codex":0.056236066,"about_ca_topic_score_gemma":0.025778295,"teacher_disagreement_score":0.056236066,"about_ca_system_score_codex":0.00092811155,"about_ca_system_score_gemma":0.00096960366,"threshold_uncertainty_score":0.11181748},"labels":[],"label_agreement":null},{"id":"W173865280","doi":"","title":"The impact of a congestion charging exemption on the demandfor new low‐emission vehicles","year":2014,"lang":"en","type":"article","venue":"Science & Engineering Faculty","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Transport engineering; Automotive engineering; Environmental science; Engineering","score_opus":0.008699631096165622,"score_gpt":0.2371833624678226,"score_spread":0.22848373137165698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W173865280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83622074,0.002088543,0.007587867,0.011537682,0.0010366939,0.0002286441,0.0038942646,0.00029680654,0.13710861],"genre_scores_gemma":[0.9859118,0.00032679233,0.0006257391,0.0006386195,0.000090611866,0.000043653534,0.000860594,0.000043520435,0.0114587145],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99713504,0.0007973435,0.00007923361,0.0002610888,0.0010782868,0.0006490198],"domain_scores_gemma":[0.9881925,0.0059072045,0.0009508352,0.0003948478,0.0035746226,0.0009801267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023723228,0.00043987916,0.0003172894,0.0007794916,0.00065711205,0.002955079,0.0016202342,0.0013205834,0.020804618],"category_scores_gemma":[0.013416674,0.00032470538,0.00094419793,0.00076515187,0.000878684,0.002258637,0.0020546068,0.002794924,0.0016572082],"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":[0.00464378,0.004426922,0.16199492,0.0022813468,0.00055295776,0.004151518,0.0027762516,0.22648104,0.02691322,0.2125712,0.103377886,0.24982888],"study_design_scores_gemma":[0.0005258843,0.0029954342,0.38077176,0.0006773785,0.0007459575,0.0012189192,0.013200984,0.22332808,0.017253498,0.052603886,0.3061459,0.0005323329],"about_ca_topic_score_codex":0.033148695,"about_ca_topic_score_gemma":0.023531722,"teacher_disagreement_score":0.033148695,"about_ca_system_score_codex":0.0031570855,"about_ca_system_score_gemma":0.0034237285,"threshold_uncertainty_score":0.06959838},"labels":[],"label_agreement":null},{"id":"W1778730871","doi":"10.24908/pceea.v0i0.3602","title":"Design of a sustainable personal mobility system (SPMS)","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse gas; Sustainability; Personal mobility; Renewable energy; Environmental economics; Sustainable transport; Theme (computing); Sustainable development; Global warming; Engineering management; Transport engineering; Business; Engineering; Computer science; Telecommunications; Climate change; Economics","score_opus":0.005466134454732605,"score_gpt":0.16121520610067425,"score_spread":0.15574907164594165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1778730871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028680705,0.00048453198,0.9103541,0.0010141442,0.00027426935,0.0006254924,0.00030482846,0.0012233304,0.057038568],"genre_scores_gemma":[0.6017513,0.00081245985,0.35844412,0.00024128999,0.00009709803,0.0011155051,0.00048191566,0.00019888769,0.03685732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962974,0.00007967325,0.000024283863,0.00006126776,0.00015262501,0.00005233308],"domain_scores_gemma":[0.9998242,0.000021786936,0.000017997185,0.000015888549,0.00008781057,0.000032289663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381195,0.00051530544,0.00039692162,0.00037159436,0.00072333287,0.00081484247,0.00084050366,0.0009614318,0.0073556034],"category_scores_gemma":[0.00047449794,0.00033203812,0.0004910565,0.0002829962,0.0003800729,0.0011371629,0.0012241609,0.00036733612,0.0022555743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001678769,0.00010982885,0.0035862015,0.0013047793,0.00011052832,0.0010049616,0.0005823348,0.4521002,0.08479391,0.099143386,0.017754244,0.33934176],"study_design_scores_gemma":[0.00011070439,0.0010362496,0.0031907838,0.00026121628,0.00012511559,0.0011854515,0.00092253357,0.60055065,0.027711267,0.03114958,0.33365282,0.00010364615],"about_ca_topic_score_codex":0.0013411454,"about_ca_topic_score_gemma":0.001809528,"teacher_disagreement_score":0.0073556034,"about_ca_system_score_codex":0.00047930022,"about_ca_system_score_gemma":0.0012300594,"threshold_uncertainty_score":0.024606943},"labels":[],"label_agreement":null},{"id":"W1829987515","doi":"10.3968/5172","title":"The Analysis of Innovation Policies for New Energy Vehicle Technology","year":2014,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Industrialisation; New energy; China; Technology innovation; Technology policy; Energy (signal processing); Business; Industrial organization; Economic system; Regional science; Environmental economics; Economics; Political science; Engineering; Market economy; Sociology","score_opus":0.016040812984700337,"score_gpt":0.29622142703784976,"score_spread":0.2801806140531494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1829987515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.605733,0.008093174,0.11907406,0.026522009,0.00035593106,0.00023507685,0.00038983213,0.00017776027,0.23941919],"genre_scores_gemma":[0.9875658,0.0016957955,0.0014270907,0.000211191,0.0000769651,0.00006159599,0.000030674633,0.000012317622,0.008918578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984927,0.0005901928,0.000048512786,0.0001520411,0.0002542584,0.0004622622],"domain_scores_gemma":[0.9979227,0.0012334462,0.00035247393,0.00006531018,0.0002610059,0.00016504602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021198532,0.00032455838,0.0005574118,0.0017072562,0.0009023869,0.0026241043,0.000537175,0.0012668358,0.0037601853],"category_scores_gemma":[0.004782139,0.000274546,0.0009807957,0.0011868135,0.0017976306,0.0026991745,0.0011301247,0.0013641462,0.00017245905],"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":[0.000047696958,0.000036134305,0.0021567603,0.00011211219,0.000055396547,0.0001097626,0.00016680438,0.059853964,0.00061590475,0.9284108,0.0011682949,0.007266297],"study_design_scores_gemma":[0.0000612368,0.00012374327,0.0089880265,0.0001369687,0.00011907812,0.000079978214,0.0008387854,0.21332754,0.00282505,0.7446449,0.028797135,0.000057589667],"about_ca_topic_score_codex":0.0071062427,"about_ca_topic_score_gemma":0.0038221083,"teacher_disagreement_score":0.00877545,"about_ca_system_score_codex":0.00877545,"about_ca_system_score_gemma":0.00729432,"threshold_uncertainty_score":0.063670695},"labels":[],"label_agreement":null},{"id":"W1831621454","doi":"10.6000/1929-6002.2015.04.02.1","title":"Simulative Comparison between Electric and Thermal Powertrains on Different Real Road Missions","year":2015,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Powertrain; Automotive engineering; Engineering; Computer science; Physics","score_opus":0.01632587595898039,"score_gpt":0.25926903240526644,"score_spread":0.24294315644628606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1831621454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96138257,0.00011902741,0.016466156,0.0001404894,0.000059336522,0.000064099615,0.0006493739,0.0003260852,0.020792801],"genre_scores_gemma":[0.9981558,0.000036639147,0.00049464265,0.000008971286,0.0000015041544,0.00001822854,0.00012164298,0.000009431354,0.0011530971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990594,0.000021700711,0.0000054334823,0.000015079382,0.00002710869,0.000024744446],"domain_scores_gemma":[0.99970144,0.00018156851,0.000020136431,0.000025728179,0.00005283159,0.000018355318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173854,0.00034332572,0.0003501604,0.00036768403,0.00029266885,0.00046886876,0.0004743087,0.0006527562,0.0033310223],"category_scores_gemma":[0.00064154144,0.00014166995,0.00045472034,0.00029773838,0.000492582,0.00042995415,0.00028616708,0.00049297,0.0002704214],"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":[0.00013845027,0.000065155684,0.0021311247,0.00008195784,0.000017767697,0.00013917295,0.00007788445,0.99051243,0.0028316947,0.0008626348,0.00031764296,0.0028240557],"study_design_scores_gemma":[0.000032962533,0.00020119724,0.0025565044,0.000015834761,0.00001846722,0.00003020367,0.00020727492,0.9916257,0.0037431626,0.0005207687,0.0010335743,0.000014307835],"about_ca_topic_score_codex":0.010210722,"about_ca_topic_score_gemma":0.006364514,"teacher_disagreement_score":0.010210722,"about_ca_system_score_codex":0.00038119816,"about_ca_system_score_gemma":0.00032627524,"threshold_uncertainty_score":0.020302594},"labels":[],"label_agreement":null},{"id":"W1842169945","doi":"","title":"Well-to-wheel greenhouse gas emissions and energy use analysis of hypothetical fleet of electrified vehicles in Canada and the U.S","year":2010,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Engineering; Aeronautics; Automotive engineering","score_opus":0.003732052502495764,"score_gpt":0.1596304991402251,"score_spread":0.15589844663772934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1842169945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904226,0.000056757868,0.00036404154,0.000118031545,0.0000024602912,0.00003980278,0.0033318326,0.000022087595,0.005642318],"genre_scores_gemma":[0.9946438,0.000100768004,0.0006963284,0.000019060783,5.8909046e-7,0.000015734995,0.0023126365,0.0000060791685,0.0022048936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997274,0.000032544103,0.0000074644504,0.000037157424,0.000062294486,0.00013307488],"domain_scores_gemma":[0.9996283,0.00005909601,0.000024928908,0.000015664142,0.00022753979,0.00004454798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862634,0.00045533,0.00026834646,0.0010756539,0.001600789,0.00089999073,0.00084312266,0.0003286485,0.0012611486],"category_scores_gemma":[0.0007799909,0.00023543082,0.0008194115,0.0020183846,0.00070787605,0.00036404235,0.00027677813,0.00034563837,0.00010965707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036936032,0.00017723048,0.24171771,0.00009045522,0.00017706357,0.0006881547,0.00043097683,0.7258849,0.002329571,0.009734783,0.0045463326,0.013853341],"study_design_scores_gemma":[0.00005581367,0.00010675407,0.46067315,0.000030853353,0.000110566,0.00010862741,0.0036280034,0.5261162,0.0022857299,0.0015931095,0.005195056,0.00009612353],"about_ca_topic_score_codex":0.9952437,"about_ca_topic_score_gemma":0.99532145,"teacher_disagreement_score":0.031384286,"about_ca_system_score_codex":0.031384286,"about_ca_system_score_gemma":0.013189472,"threshold_uncertainty_score":0.22771001},"labels":[],"label_agreement":null},{"id":"W1854174165","doi":"10.1016/j.rser.2015.06.036","title":"A review on electric vehicles interacting with renewable energy in smart grid","year":2015,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":306,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Scholarship Council","keywords":"Renewable energy; Smart grid; Computer science; Grid; Electricity; Environmental economics; Automotive engineering; Systems engineering; Engineering; Electrical engineering","score_opus":0.014830114384322557,"score_gpt":0.249196859633576,"score_spread":0.23436674524925344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854174165","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013328632,0.99725515,0.00023357365,0.00022084445,0.0004418138,0.0000050491662,0.000025662774,0.0000072108337,0.0016774656],"genre_scores_gemma":[0.0007315464,0.99772996,0.00023836413,0.00019482062,0.00030581089,0.0000040720165,0.000033436594,0.0000018325716,0.0007602731],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997565,0.00004214632,0.0000447024,0.000042653053,0.00009244365,0.000021483762],"domain_scores_gemma":[0.9994448,0.00030562884,0.00007042776,0.000012969042,0.00013913096,0.00002701692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049338414,0.00093711854,0.0012324079,0.0025154506,0.00026286338,0.0012293947,0.0006841035,0.0010404707,0.0053514526],"category_scores_gemma":[0.0009699127,0.00030774865,0.0005882403,0.0035592217,0.00031140665,0.0019360957,0.0006206388,0.0011105483,0.0015544661],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005439374,0.00008053315,0.00026936267,0.042526443,0.00012966014,0.00019667155,0.00009286421,0.0008298823,0.0020691326,0.00625099,0.056677364,0.89082265],"study_design_scores_gemma":[0.0000083433415,0.000066495035,0.00060724665,0.006474219,0.00017066162,0.00047652406,0.00007647586,0.00014660339,0.00033394236,0.0018735667,0.98974496,0.000021055766],"about_ca_topic_score_codex":0.0011261082,"about_ca_topic_score_gemma":0.0028370665,"teacher_disagreement_score":0.0053514526,"about_ca_system_score_codex":0.0004352574,"about_ca_system_score_gemma":0.0012089579,"threshold_uncertainty_score":0.017902374},"labels":[],"label_agreement":null},{"id":"W1966531420","doi":"10.1109/sege.2015.7324607","title":"Real-time analysis of voltage and current in low-voltage grid due to electric vehicles' charging","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Waterloo","funders":"","keywords":"Voltage; Electrical engineering; Current (fluid); Grid; Low voltage; Computer science; Automotive engineering; Engineering","score_opus":0.0064769154313641455,"score_gpt":0.21649152208435987,"score_spread":0.21001460665299573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966531420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96749306,0.00013061022,0.023586107,0.00013592653,0.00005474228,0.000043159005,0.0005076572,0.0005784869,0.0074701975],"genre_scores_gemma":[0.99875784,0.000024407615,0.0007495181,0.000008238588,0.0000021650967,0.0000051977468,0.00010163189,0.00001235113,0.00033865476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998109,0.000044803124,0.0000093773115,0.00003199563,0.00007197048,0.00003100508],"domain_scores_gemma":[0.9994342,0.0003438267,0.000070715876,0.000029528088,0.000091480506,0.000030204867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027701177,0.00032504142,0.00039042553,0.00040292053,0.00024174854,0.00066197244,0.00034789013,0.0005266884,0.001516703],"category_scores_gemma":[0.0011797487,0.00016038974,0.00030709096,0.0006022235,0.00032471,0.00048929197,0.00019471119,0.00048255778,0.00017320426],"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":[0.00040895632,0.00009323545,0.013355999,0.00010241982,0.000051873998,0.0007400287,0.00013548289,0.96601427,0.0075728395,0.0011815483,0.0007237668,0.009619498],"study_design_scores_gemma":[0.000014520649,0.00009840678,0.0049469564,0.0000045174565,0.000013554316,0.00009174953,0.000059926053,0.9916481,0.0023792277,0.00038745484,0.0003463121,0.000009282532],"about_ca_topic_score_codex":0.005090512,"about_ca_topic_score_gemma":0.0043756235,"teacher_disagreement_score":0.005090512,"about_ca_system_score_codex":0.0005975306,"about_ca_system_score_gemma":0.0002589804,"threshold_uncertainty_score":0.010121763},"labels":[],"label_agreement":null},{"id":"W1968467944","doi":"10.1016/j.ijhydene.2011.02.070","title":"Sustainable convergence of electricity and transport sectors in the context of a hydrogen economy","year":2011,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydrogen economy; Convergence (economics); Context (archaeology); Electricity; Hydrogen; Electricity system; Business; Economics; Economy; Chemistry; Hydrogen production; Electricity generation; Macroeconomics; Thermodynamics; Engineering; Physics; Power (physics); Geology","score_opus":0.0056404121331073195,"score_gpt":0.1862569781645584,"score_spread":0.1806165660314511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968467944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.807807,0.0008164539,0.01023322,0.014749475,0.00013574162,0.000060993094,0.00016329683,0.000037828086,0.16599593],"genre_scores_gemma":[0.99424666,0.0003327564,0.00065926753,0.00009149806,0.000023544746,0.00001562263,0.000033763972,0.000007266238,0.0045895516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991186,0.00032243572,0.000025869664,0.0000779301,0.00014467575,0.0003104796],"domain_scores_gemma":[0.9989324,0.0002819522,0.0001568316,0.00006499097,0.00033250457,0.00023131592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016161213,0.00027133952,0.0003873419,0.0010958137,0.001692836,0.0045332923,0.0007041345,0.0019181791,0.01068701],"category_scores_gemma":[0.0028994002,0.00021005205,0.00037365453,0.0010718283,0.0023298596,0.005499011,0.0038827998,0.0011521933,0.0007671703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003299225,0.00014728351,0.009639728,0.000070826216,0.00003914631,0.0012944051,0.0021290728,0.01664361,0.0013259719,0.9485103,0.003022723,0.016846899],"study_design_scores_gemma":[0.00010714117,0.0001495188,0.019209076,0.00015035932,0.00003902366,0.0003218166,0.025990058,0.035921853,0.0017574618,0.8820257,0.034269568,0.000058317117],"about_ca_topic_score_codex":0.0056844302,"about_ca_topic_score_gemma":0.008224635,"teacher_disagreement_score":0.01068701,"about_ca_system_score_codex":0.0031689268,"about_ca_system_score_gemma":0.003968634,"threshold_uncertainty_score":0.03575164},"labels":[],"label_agreement":null},{"id":"W1971401904","doi":"10.1016/j.jpowsour.2013.06.024","title":"Encouraging vehicle-to-grid (V2G) participation through premium tariff rates","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Stockholm Environment Institute; Ohio State University","keywords":"Tariff; Vehicle-to-grid; Renewable energy; Feed-in tariff; Electric vehicle; Environmental economics; Revenue; Profit (economics); Rate of return; Grid; Business; Investment (military); Economics; Finance; Microeconomics; Engineering; Energy policy; Power (physics); International economics; Electrical engineering","score_opus":0.005820290129521588,"score_gpt":0.22161633287654023,"score_spread":0.21579604274701863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971401904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.633412,0.0003912695,0.09171209,0.0036582272,0.00035768852,0.00038888812,0.00060648104,0.0013214794,0.26815197],"genre_scores_gemma":[0.9886157,0.00006955414,0.0039045368,0.00021282794,0.0000557656,0.000037689988,0.000111215806,0.000049745995,0.006942978],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843985,0.00058173103,0.000045260884,0.00017567133,0.000354065,0.00040339972],"domain_scores_gemma":[0.99475986,0.0026016366,0.0006488671,0.00043448235,0.00097241363,0.00058276387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022462124,0.00036527612,0.00026953258,0.00062636635,0.0005336542,0.001412787,0.0010663333,0.00085119694,0.01735887],"category_scores_gemma":[0.009460196,0.00017690768,0.00034167658,0.0007368224,0.0002921461,0.0011394797,0.0013657113,0.0010367458,0.0023134064],"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":[0.0021552846,0.003121661,0.07002114,0.00048045197,0.00016721997,0.00051374384,0.00220624,0.10870262,0.046501137,0.12659286,0.045090407,0.5944472],"study_design_scores_gemma":[0.0009683396,0.0032166687,0.19691713,0.0003969889,0.0003811506,0.0010475483,0.004671623,0.3850752,0.038141027,0.09652954,0.27240115,0.00025366122],"about_ca_topic_score_codex":0.005049497,"about_ca_topic_score_gemma":0.0083930595,"teacher_disagreement_score":0.01735887,"about_ca_system_score_codex":0.0005709398,"about_ca_system_score_gemma":0.00088206667,"threshold_uncertainty_score":0.058071196},"labels":[],"label_agreement":null},{"id":"W1972238552","doi":"10.1109/isgt.2012.6175758","title":"PEV-based combined frequency and voltage regulation for smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smart grid; Plug-in; Computer science; Grid; Popularity; Set (abstract data type); Voltage; Voltage regulation; Frequency regulation; AC power; Automatic frequency control; Power flow; Dynamic pricing; Operations research; Electric power system; Power (physics); Telecommunications; Engineering; Electrical engineering; Economics; Microeconomics","score_opus":0.0059459486226517205,"score_gpt":0.18930918749098866,"score_spread":0.18336323886833694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972238552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0712892,0.00046275536,0.91713226,0.00024194803,0.00005812398,0.00007180085,0.00006385314,0.00035428308,0.0103257885],"genre_scores_gemma":[0.9778081,0.00013568425,0.020114325,0.000040657942,0.00001639438,0.000039201957,0.000028569111,0.000015181133,0.001801828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992518,0.0003425746,0.000026609898,0.00012252593,0.00017625454,0.000080194775],"domain_scores_gemma":[0.99974793,0.000095545365,0.000042323347,0.00003737192,0.000056031637,0.000020835529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065074617,0.000430362,0.0005986702,0.0002609464,0.00025559939,0.0008425018,0.0011586887,0.0008469477,0.001979744],"category_scores_gemma":[0.0008104599,0.00027768948,0.0004307359,0.00046011157,0.00038038916,0.001052534,0.00075827,0.00057162996,0.00032256043],"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":[0.0003332344,0.00014091111,0.0010774885,0.00008738563,0.00007189695,0.0001617592,0.00005480147,0.8862796,0.010806762,0.028131837,0.0015024823,0.071351856],"study_design_scores_gemma":[0.000027118747,0.00010649667,0.0002016918,0.0000069303164,0.000016852728,0.00006450559,0.000016042568,0.9876951,0.0023061633,0.007814961,0.0017333024,0.000010906038],"about_ca_topic_score_codex":0.0011282418,"about_ca_topic_score_gemma":0.0021004854,"teacher_disagreement_score":0.001979744,"about_ca_system_score_codex":0.00056181307,"about_ca_system_score_gemma":0.00048454554,"threshold_uncertainty_score":0.0066229105},"labels":[],"label_agreement":null},{"id":"W1975265573","doi":"10.1109/tste.2013.2284573","title":"A Comprehensive Study of the Impacts of PHEVs on Residential Distribution Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":181,"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 Waterloo","funders":"","keywords":"Monte Carlo method; Probabilistic logic; Benchmark (surveying); Computer science; Process (computing); Probability distribution; Reliability engineering; Engineering; Artificial intelligence; Mathematics; Statistics","score_opus":0.003417142570380995,"score_gpt":0.19063264789744197,"score_spread":0.18721550532706097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975265573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72876316,0.0007521234,0.2407759,0.00030927578,0.000035494315,0.00016401298,0.0012511145,0.00045978616,0.027489098],"genre_scores_gemma":[0.9927255,0.00025492802,0.005535752,0.000015038122,0.0000106390835,0.00002523039,0.0002868579,0.000021432408,0.0011244375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994437,0.00021000214,0.000011879142,0.00006293002,0.00021058653,0.00006079276],"domain_scores_gemma":[0.99906987,0.0005408625,0.000086602726,0.00010858956,0.00016012372,0.000034107397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072151946,0.0005873815,0.00044821308,0.00051781733,0.00037871156,0.00059698423,0.0005091104,0.0004935782,0.00110637],"category_scores_gemma":[0.0023673647,0.00015568161,0.00036644054,0.0008642734,0.00031849137,0.0010829308,0.0003762742,0.00038147808,0.00010818916],"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":[0.000020642965,0.000032156473,0.0018191139,0.000025683188,0.00002105196,0.000065404434,0.000010351069,0.9840681,0.0012512219,0.0026718113,0.00029866915,0.009715913],"study_design_scores_gemma":[0.0000060269494,0.00020023776,0.005974462,0.0000112054695,0.000022146138,0.00010184533,0.000062723724,0.983778,0.004111124,0.0037743414,0.0019442991,0.000013697109],"about_ca_topic_score_codex":0.0074991765,"about_ca_topic_score_gemma":0.0072683627,"teacher_disagreement_score":0.0074991765,"about_ca_system_score_codex":0.00094800146,"about_ca_system_score_gemma":0.00075588125,"threshold_uncertainty_score":0.014911056},"labels":[],"label_agreement":null},{"id":"W1976752656","doi":"10.1109/smartgridcomm.2014.7007716","title":"Quantifying the benefits of extending electric vehicle charging deadlines with solar generation","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Waterloo","funders":"","keywords":"Carbon footprint; Grid; Photovoltaic system; Computer science; Electric vehicle; Solar power; Environmental economics; Automotive engineering; Renewable energy; Solar energy; Power (physics); Environmental science; Electrical engineering; Greenhouse gas; Engineering; Economics","score_opus":0.015816228982191764,"score_gpt":0.2108939041919313,"score_spread":0.19507767520973954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976752656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75852853,0.00084307615,0.22827789,0.0008204671,0.000117286356,0.000101839534,0.00017929153,0.00013882217,0.010992793],"genre_scores_gemma":[0.99046284,0.00012333937,0.008952216,0.0000235568,0.000014061794,0.000014600061,0.000025216228,0.000014219859,0.00037008643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870956,0.00055057404,0.00004660945,0.00015564081,0.00022743453,0.0003102673],"domain_scores_gemma":[0.9872323,0.010295021,0.00095312,0.0006126313,0.000584769,0.00032210027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003796832,0.0009100058,0.000588314,0.00051079906,0.0004597065,0.0013870081,0.0010636101,0.0010305694,0.0012297865],"category_scores_gemma":[0.024040774,0.00031552563,0.00032196805,0.00081668,0.0008662513,0.0026204311,0.0011580824,0.0009258871,0.000089496774],"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":[0.00024441167,0.00008822002,0.0021521903,0.000054300108,0.000017073842,0.000033827593,0.000024709787,0.9781733,0.0012862424,0.007993864,0.00016369215,0.009768224],"study_design_scores_gemma":[0.000029558214,0.00022341532,0.0010352944,0.000010474356,0.000021923253,0.00003096939,0.00008817983,0.9881592,0.0019353405,0.0080595985,0.00039248716,0.000013555044],"about_ca_topic_score_codex":0.003407661,"about_ca_topic_score_gemma":0.002533848,"teacher_disagreement_score":0.003796832,"about_ca_system_score_codex":0.0017644202,"about_ca_system_score_gemma":0.0017361284,"threshold_uncertainty_score":0.020079792},"labels":[],"label_agreement":null},{"id":"W1976862173","doi":"10.1115/imece2010-38240","title":"Forecasting the Impact of Plug-In Hybrid Electric Vehicles Penetration on Ontario’s Electricity Grid","year":2010,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity; Automotive engineering; Greenhouse gas; Environmental science; Grid; Environmental economics; Computer science; Engineering; Electrical engineering; Economics","score_opus":0.00810797188067442,"score_gpt":0.20668961846914224,"score_spread":0.19858164658846783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976862173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946254,0.000080023034,0.00092234416,0.00026256716,0.0000058348196,0.000013327598,0.00126587,0.000038194645,0.0027864366],"genre_scores_gemma":[0.9966633,0.00013210745,0.00052017765,0.000010741421,0.0000021892079,0.0000048702955,0.0011056365,0.000004045241,0.0015570767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998392,0.000025700723,0.0000060587195,0.000021977166,0.00006306663,0.000044027685],"domain_scores_gemma":[0.9993179,0.00024735802,0.000081642705,0.00002399076,0.00028493497,0.000044262444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003046856,0.00032675895,0.000168813,0.00028279985,0.0004107297,0.00055080606,0.00042750934,0.00025938344,0.0008663635],"category_scores_gemma":[0.0016747613,0.00017547431,0.0002418599,0.00069472706,0.00019011779,0.00040836202,0.00020083923,0.00029067477,0.0001406533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030680725,0.0000896282,0.420607,0.00007589733,0.00008465175,0.00034868435,0.00034813528,0.54019207,0.0034455569,0.00096297654,0.0034047621,0.030133836],"study_design_scores_gemma":[0.000019849698,0.00007780912,0.30057096,0.000014116477,0.000050406317,0.000027721266,0.0007679924,0.69328207,0.002097866,0.000261261,0.0028034681,0.000026465972],"about_ca_topic_score_codex":0.96065557,"about_ca_topic_score_gemma":0.9655857,"teacher_disagreement_score":0.03934443,"about_ca_system_score_codex":0.0089004785,"about_ca_system_score_gemma":0.004349174,"threshold_uncertainty_score":0.07915223},"labels":[],"label_agreement":null},{"id":"W1976998558","doi":"10.1109/evs.2013.6914837","title":"Electric vehicles &amp;#x2014; A &amp;#x2018;one-size-fits-all&amp;#x2019; solution for emission reduction from transportation?","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Greenhouse gas; Automotive engineering; Electricity; Environmental science; Miles per gallon gasoline equivalent; Battery electric vehicle; Electrification; Fuel efficiency; Battery (electricity); Engineering; Power (physics); Electrical engineering; Green vehicle; Physics","score_opus":0.01509160091736167,"score_gpt":0.22818855279172834,"score_spread":0.21309695187436667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976998558","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005316661,0.003147713,0.07204153,0.014957682,0.0024225276,0.00026852154,0.0036877042,0.009230416,0.8889272],"genre_scores_gemma":[0.033667523,0.00234572,0.02415096,0.0011552784,0.00017682755,0.00007499062,0.0020381114,0.0009900377,0.9354005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995419,0.000037421698,0.000008680901,0.00007006545,0.00024269865,0.00009926555],"domain_scores_gemma":[0.9996637,0.000024917314,0.000015499245,0.000053979667,0.00018441839,0.00005740705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042475195,0.0010369655,0.00039358233,0.000585912,0.0009363738,0.0032951839,0.0017377738,0.0022828346,0.28455976],"category_scores_gemma":[0.0012117692,0.00048718724,0.00046925707,0.0013655598,0.0007946455,0.002406535,0.0009448522,0.0009284884,0.11941574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011134456,0.00008203138,0.00046850994,0.00020962895,0.00001818099,0.00011565092,0.00006072126,0.0043856534,0.0038422009,0.049745526,0.59746253,0.34349805],"study_design_scores_gemma":[0.00002747421,0.000029689088,0.00035199904,0.000069711,0.0000068381414,0.00006548768,0.000086925276,0.008000055,0.0012863207,0.0077044037,0.98235565,0.000015479069],"about_ca_topic_score_codex":0.09251605,"about_ca_topic_score_gemma":0.14829558,"teacher_disagreement_score":0.28455976,"about_ca_system_score_codex":0.004042207,"about_ca_system_score_gemma":0.0031604804,"threshold_uncertainty_score":0.9519472},"labels":[],"label_agreement":null},{"id":"W1980289102","doi":"10.1016/j.renene.2014.08.012","title":"Coordinated charging of plug-in hybrid electric vehicles in smart hybrid AC/DC distribution systems","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plug-in; Converters; Hybrid system; Automotive engineering; Scheme (mathematics); Computer science; Work (physics); Electric vehicle; Engineering; Order (exchange); Voltage; Electrical engineering; Power (physics)","score_opus":0.0033697285395764254,"score_gpt":0.16924891851689267,"score_spread":0.16587918997731624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980289102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4307021,0.00057799637,0.53391916,0.00045012188,0.00031739633,0.00014212039,0.0001730703,0.0007806259,0.032937482],"genre_scores_gemma":[0.99696964,0.000027546444,0.0018901555,0.00001259525,0.000008575006,0.000007810774,0.00001480967,0.000008748219,0.0010601194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997751,0.000073237796,0.000010027737,0.00003630592,0.000051652616,0.000053677806],"domain_scores_gemma":[0.9998043,0.00006320213,0.000019912995,0.00002584686,0.000062463245,0.000024336887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029297482,0.00029296448,0.0005468761,0.00021676281,0.0004089674,0.0010963206,0.0004983069,0.0002642623,0.002543302],"category_scores_gemma":[0.00051342865,0.0001920811,0.0001900462,0.00036398857,0.00027181645,0.0006108388,0.0004936772,0.0002918694,0.00022864921],"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":[0.00090863643,0.00016210056,0.0030963148,0.00013654363,0.000103681756,0.00041461232,0.00015108383,0.87679285,0.011282785,0.023789354,0.0036657574,0.07949629],"study_design_scores_gemma":[0.000025694702,0.00009041206,0.0007871026,0.000004339804,0.000019123638,0.0000602512,0.000083361265,0.9886981,0.002387104,0.0063112197,0.0015272074,0.0000060269795],"about_ca_topic_score_codex":0.001740422,"about_ca_topic_score_gemma":0.0042593507,"teacher_disagreement_score":0.002543302,"about_ca_system_score_codex":0.00043174488,"about_ca_system_score_gemma":0.00041377914,"threshold_uncertainty_score":0.008508205},"labels":[],"label_agreement":null},{"id":"W1984327433","doi":"10.1109/smartgridcomm.2014.7007737","title":"Optimal charging strategies for electrical vehicles under real time pricing","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Dynamic programming; Markov decision process; Mathematical optimization; Computer science; Battery (electricity); Markov process; Charging station; Optimal control; Grid; Dynamic pricing; Time horizon; Power (physics); Automotive engineering; Electric vehicle; Engineering; Mathematics","score_opus":0.005612803483070543,"score_gpt":0.20617940202518653,"score_spread":0.20056659854211598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984327433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2206435,0.0010466436,0.75929594,0.001369234,0.000118151074,0.00014246753,0.000103929226,0.00021096217,0.017069219],"genre_scores_gemma":[0.98596025,0.00027915626,0.010976712,0.00006886485,0.00002289855,0.00004565139,0.000026759682,0.00002235966,0.002597302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891436,0.00046546262,0.000040822564,0.00012666052,0.00017254078,0.00028012192],"domain_scores_gemma":[0.9978231,0.0014852652,0.00027807298,0.00006606249,0.00019729951,0.00015018618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013414487,0.0009703865,0.00113071,0.0006851338,0.0004326785,0.0017106404,0.001157816,0.001327205,0.002376572],"category_scores_gemma":[0.0055348184,0.00074644823,0.00060948846,0.00060774136,0.0014313183,0.0016879202,0.0010507476,0.0010918727,0.0002604714],"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":[0.000077091114,0.000063040294,0.00022168757,0.00004299442,0.000027156459,0.00007329455,0.000068495145,0.96406287,0.0008329347,0.028342392,0.0003238683,0.0058641173],"study_design_scores_gemma":[0.00001821281,0.000033659948,0.00007170161,0.000005015927,0.000006470288,0.000014048585,0.000027692195,0.98098385,0.00017905355,0.018399209,0.0002539743,0.0000070438236],"about_ca_topic_score_codex":0.004433521,"about_ca_topic_score_gemma":0.00244652,"teacher_disagreement_score":0.004433521,"about_ca_system_score_codex":0.0018363302,"about_ca_system_score_gemma":0.0014319563,"threshold_uncertainty_score":0.013323545},"labels":[],"label_agreement":null},{"id":"W1984382884","doi":"10.1109/vtcfall.2014.6965841","title":"A QoS Scheme for Charging Electric Vehicles in a Smart Grid Environment","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Ottawa","funders":"","keywords":"Smart grid; Quality of service; Computer science; Battery (electricity); Grid; Wireless; Scheme (mathematics); Electric vehicle; Computer network; Engineering; Electrical engineering; Telecommunications; Power (physics)","score_opus":0.004299967831888704,"score_gpt":0.17274379155633673,"score_spread":0.16844382372444802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984382884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.110888734,0.0007373723,0.8774717,0.00080244115,0.00030357388,0.0001897192,0.000115504256,0.001187703,0.0083033135],"genre_scores_gemma":[0.9491011,0.00021384729,0.04894792,0.00010847076,0.00005610065,0.000042600273,0.00005407803,0.000021908885,0.0014540207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995846,0.00011851061,0.000032807522,0.000063776635,0.00012735109,0.00007290032],"domain_scores_gemma":[0.99929357,0.00020740168,0.00008103691,0.000084007734,0.00026102967,0.00007302729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008318139,0.000442111,0.00027492948,0.00041044576,0.00060686615,0.00070675876,0.00085908803,0.0005906091,0.0011958173],"category_scores_gemma":[0.0018180547,0.0001186829,0.00019890205,0.0005050337,0.00048130937,0.0011783802,0.0006625664,0.0005074327,0.00024832832],"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":[0.00061981013,0.00024666658,0.0034981174,0.00026733353,0.000040277522,0.00050089485,0.0003723689,0.5535679,0.05458361,0.098253965,0.007253253,0.28079584],"study_design_scores_gemma":[0.000039386057,0.00014589065,0.00037208502,0.000008261059,0.000011145163,0.00016847796,0.000051492167,0.9840702,0.0045683533,0.006632709,0.003911076,0.000020797774],"about_ca_topic_score_codex":0.0031142712,"about_ca_topic_score_gemma":0.002303437,"teacher_disagreement_score":0.0031142712,"about_ca_system_score_codex":0.0008090047,"about_ca_system_score_gemma":0.00064526784,"threshold_uncertainty_score":0.0061923265},"labels":[],"label_agreement":null},{"id":"W1984926386","doi":"10.1109/mele.2013.2272481","title":"Courting and Sparking: Wooing Consumers? Interest in the EV Market","year":2013,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"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 Windsor","funders":"","keywords":"Appeal; Market penetration; Marketing; Advertising; Quality (philosophy); Business; Political science; Law","score_opus":0.015488723633580673,"score_gpt":0.20924373463525414,"score_spread":0.19375501100167347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984926386","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030867798,0.011012231,0.00096412975,0.7477278,0.0026269448,0.000013049863,0.00005983721,0.000038904152,0.20668937],"genre_scores_gemma":[0.6384438,0.012184426,0.000572422,0.2566007,0.0045863707,0.00003318358,0.000077851415,0.00014624467,0.08735498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975777,0.0010304467,0.000038752816,0.00022690916,0.0007402237,0.0003858427],"domain_scores_gemma":[0.99420893,0.003402797,0.00027998173,0.00025535643,0.0011108279,0.0007421519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034706048,0.00018249881,0.00030261977,0.00071746757,0.0064250664,0.011781157,0.0006466425,0.008524177,0.01651516],"category_scores_gemma":[0.01154652,0.00019434061,0.00032555874,0.0010778368,0.010185664,0.015362138,0.0026996033,0.0075144027,0.0017424445],"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":[0.00009563285,0.00007729989,0.0032128054,0.00011260355,0.000011783539,0.00079773256,0.025624102,0.000057503166,0.00044829852,0.4792754,0.43236986,0.05791696],"study_design_scores_gemma":[0.000016284204,0.000032321877,0.0017863809,0.0003733673,0.000010722876,0.0005438688,0.051092163,0.00016559812,0.00029973607,0.09119321,0.85444474,0.00004163007],"about_ca_topic_score_codex":0.006791405,"about_ca_topic_score_gemma":0.008243482,"teacher_disagreement_score":0.01651516,"about_ca_system_score_codex":0.0033954664,"about_ca_system_score_gemma":0.002037465,"threshold_uncertainty_score":0.055248737},"labels":[],"label_agreement":null},{"id":"W1985395035","doi":"10.1016/j.applthermaleng.2013.10.051","title":"Exploring the potential synergy between micro-cogeneration and electric vehicle charging","year":2013,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Edgewood Chemical Biological Center; Natural Resources Canada","keywords":"Electricity; Cogeneration; Profitability index; Revenue; Automotive engineering; Engineering; Environmental science; Waste management; Environmental economics; Electricity generation; Business; Electrical engineering; Economics; Finance","score_opus":0.0068356283741940445,"score_gpt":0.1504206985352861,"score_spread":0.14358507016109207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985395035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7874714,0.0015087342,0.117634624,0.0009610836,0.000247931,0.00006377221,0.00007355084,0.0002482005,0.091790624],"genre_scores_gemma":[0.99503195,0.00015712438,0.0028689578,0.000018415369,0.0000097190905,0.0000050256062,0.00000819115,0.0000057035086,0.0018949149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993503,0.000014878871,0.0000013430067,0.000009219454,0.000023207036,0.000016251754],"domain_scores_gemma":[0.9998617,0.0000906108,0.000009090218,0.000014519894,0.000015185462,0.000008960046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013957924,0.0002282336,0.00023717893,0.00012891108,0.00019560399,0.0006073823,0.00043111647,0.00034590848,0.0054747267],"category_scores_gemma":[0.00038995297,0.00011995459,0.00018025989,0.00024337388,0.00027382947,0.0008921998,0.00046731578,0.00023278623,0.0003389098],"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":[0.0015483891,0.00057065964,0.0060013123,0.00058161863,0.0001625034,0.0009290902,0.00018441357,0.50135773,0.18467854,0.10313547,0.0018842556,0.19896607],"study_design_scores_gemma":[0.00013580752,0.0010059386,0.004628933,0.000038001104,0.00009166004,0.000418604,0.000494144,0.83550924,0.080379136,0.06518813,0.0120595675,0.00005083689],"about_ca_topic_score_codex":0.00030622963,"about_ca_topic_score_gemma":0.0006986374,"teacher_disagreement_score":0.0054747267,"about_ca_system_score_codex":0.00015482506,"about_ca_system_score_gemma":0.0002104815,"threshold_uncertainty_score":0.018314779},"labels":[],"label_agreement":null},{"id":"W1985733347","doi":"10.1109/vppc.2009.5289740","title":"Genetic algorithm based optimal powertrain component sizing and control strategy design for a fuel cell hybrid electric bus","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Powertrain; Sizing; Automotive engineering; Propulsion; Battery (electricity); Computer science; Electrically powered spacecraft propulsion; Genetic algorithm; Engineering; Power (physics); Control engineering; Torque","score_opus":0.005697320114221472,"score_gpt":0.18461873955831554,"score_spread":0.17892141944409407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985733347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104903415,0.00031158645,0.8864663,0.00017761553,0.000032388238,0.00017794495,0.00006084272,0.00029214227,0.007577634],"genre_scores_gemma":[0.81075084,0.00019962761,0.18482895,0.00007551574,0.000017138836,0.0004333025,0.00011139948,0.00004408647,0.0035391797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998683,0.000040802704,0.0000049160158,0.000025340196,0.00003858793,0.000022035101],"domain_scores_gemma":[0.999818,0.00009613668,0.000024745244,0.0000059241393,0.00004605348,0.000009172268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004961111,0.00080457877,0.0005461299,0.0006593855,0.00024618566,0.00074811175,0.00059399765,0.000622536,0.0013016032],"category_scores_gemma":[0.0008722658,0.00041655128,0.0003554864,0.00044613547,0.00041760804,0.00024535917,0.0002775516,0.00036867082,0.00015896525],"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":[0.000029497667,0.000027248772,0.00016964314,0.000023011396,0.000013527265,0.000024598698,0.000022817694,0.98171264,0.0015311218,0.0013848246,0.00017647851,0.014884634],"study_design_scores_gemma":[0.000014013005,0.0000275107,0.00007286152,0.0000021984088,0.000005641834,0.0000032419437,0.0000050681174,0.99904495,0.0003381814,0.00034712302,0.00013733146,0.0000018164751],"about_ca_topic_score_codex":0.00690718,"about_ca_topic_score_gemma":0.005975601,"teacher_disagreement_score":0.00690718,"about_ca_system_score_codex":0.0007870593,"about_ca_system_score_gemma":0.0011022955,"threshold_uncertainty_score":0.013733923},"labels":[],"label_agreement":null},{"id":"W1989077898","doi":"10.1109/tpwrs.2013.2278847","title":"Accommodating High Penetrations of PEVs and Renewable DG Considering Uncertainties in Distribution Systems","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":121,"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 Waterloo","funders":"","keywords":"Time horizon; Mathematical optimization; Renewable energy; Sorting; Pareto principle; Linear programming; Genetic algorithm; Computer science; Electric power system; Integer programming; Engineering; Operations research; Power (physics); Algorithm; Mathematics","score_opus":0.006464471287632917,"score_gpt":0.1848067766123578,"score_spread":0.1783423053247249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989077898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12425489,0.00021575415,0.86961085,0.0002601623,0.000024596286,0.00008236229,0.000114937575,0.00022950312,0.0052069994],"genre_scores_gemma":[0.88558817,0.00013097531,0.11220432,0.000048548995,0.000015505178,0.00009141947,0.000101064914,0.000037384394,0.0017825234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978226,0.00007996342,0.00000819917,0.000041450785,0.00004107451,0.000047002643],"domain_scores_gemma":[0.9995433,0.00028715894,0.0000660691,0.000017722308,0.000049224927,0.0000366261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075353845,0.0007257367,0.00059530884,0.00045806068,0.00054132956,0.0008560544,0.00072888384,0.0007885123,0.0010838308],"category_scores_gemma":[0.0014384051,0.0005589601,0.0004511932,0.00054003706,0.0003175348,0.00090714206,0.00062565546,0.00065067946,0.00010582471],"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":[0.000007264239,0.000004801588,0.00018469241,0.0000049659843,0.0000043883124,0.000017513621,0.0000070571846,0.99523467,0.0001407292,0.0005506443,0.000054113058,0.0037891741],"study_design_scores_gemma":[0.0000034418783,0.0000090105295,0.00007072524,0.0000019975573,0.0000032421488,0.0000064533497,0.0000075480193,0.99888045,0.00017975231,0.00069798384,0.00013744627,0.0000019062353],"about_ca_topic_score_codex":0.008962482,"about_ca_topic_score_gemma":0.010756878,"teacher_disagreement_score":0.008962482,"about_ca_system_score_codex":0.0008921386,"about_ca_system_score_gemma":0.0010177705,"threshold_uncertainty_score":0.017820656},"labels":[],"label_agreement":null},{"id":"W1991047884","doi":"10.1109/sege.2015.7324593","title":"Energy Trading In the smart grid: A game theoretic approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Grid; Smart grid; Renewable energy; Computer science; Profit (economics); Intermittent energy source; Environmental economics; Energy (signal processing); Grid energy storage; Distributed generation; Microeconomics; Economics; Engineering; Electrical engineering","score_opus":0.00979857608797079,"score_gpt":0.18277970857777676,"score_spread":0.17298113248980596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991047884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017683366,0.0022515468,0.9267589,0.0022059367,0.00019704613,0.00018041093,0.00013711426,0.0000806493,0.05050511],"genre_scores_gemma":[0.83908206,0.0039549884,0.1388847,0.0006411332,0.00038253304,0.00045525585,0.00009999852,0.00005791799,0.016441405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990225,0.0006034864,0.000023607648,0.000085998974,0.00019008151,0.00007432781],"domain_scores_gemma":[0.99926716,0.0005102163,0.000063272535,0.000027114065,0.00006656591,0.00006571652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011139192,0.0011941015,0.0012878978,0.0006835884,0.0007577217,0.0023912815,0.0019999195,0.0026598803,0.004463947],"category_scores_gemma":[0.0021019962,0.00052343385,0.00089409115,0.0010572497,0.0022421754,0.0028410002,0.001214549,0.0020545274,0.00041497842],"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":[0.000029055616,0.0000671201,0.00023598508,0.000083902196,0.000031994205,0.00014013184,0.00007153474,0.6270481,0.00039410187,0.36337823,0.0014299167,0.0070900326],"study_design_scores_gemma":[0.00001739089,0.000030850395,0.00006195229,0.000016487833,0.000009432198,0.00004060107,0.000046952002,0.8691318,0.00007653889,0.12799023,0.0025659418,0.000011923449],"about_ca_topic_score_codex":0.0044763074,"about_ca_topic_score_gemma":0.0036252507,"teacher_disagreement_score":0.0044763074,"about_ca_system_score_codex":0.002218011,"about_ca_system_score_gemma":0.0016559165,"threshold_uncertainty_score":0.016092837},"labels":[],"label_agreement":null},{"id":"W1992667815","doi":"10.4271/2012-01-0348","title":"Repurposing Batteries of Plug-In Electric Vehicles to Support Renewable Energy Penetration in the Electric Grid","year":2012,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Renewable energy; Plug-in; Penetration (warfare); Repurposing; Automotive engineering; Grid; Electrical engineering; Computer science; Spark plug; Smart grid; Environmental science; Engineering; Mechanical engineering; Waste management; Operating system","score_opus":0.007289326978399927,"score_gpt":0.21503678731939055,"score_spread":0.20774746034099062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992667815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58028316,0.002586874,0.25378045,0.0018682197,0.00058018486,0.00047168494,0.0022300386,0.0042522205,0.15394716],"genre_scores_gemma":[0.9711118,0.00085850037,0.011128351,0.00013650651,0.000022911798,0.00005525412,0.0004323236,0.00013443889,0.01611988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.000016145104,0.0000031642235,0.000010659118,0.000023617366,0.000016919668],"domain_scores_gemma":[0.9999311,0.000015207588,0.000008228011,0.000010491,0.000027142614,0.000007774361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012045823,0.00054411707,0.00025326936,0.00023349334,0.00026813085,0.0007577539,0.0008236066,0.00045242367,0.008439942],"category_scores_gemma":[0.00032929334,0.00020545874,0.00060979184,0.00023670091,0.00022932953,0.0010681368,0.0003621415,0.00037709306,0.0015025288],"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":[0.00019377889,0.0001964925,0.0027908778,0.0002174756,0.00005441149,0.0006362409,0.00010226506,0.8742893,0.02642207,0.011519451,0.0067736404,0.07680398],"study_design_scores_gemma":[0.000061384715,0.00021520493,0.0013766752,0.000044680186,0.00004998073,0.00017010447,0.00013976009,0.9460322,0.022529347,0.0051093255,0.024237795,0.00003351888],"about_ca_topic_score_codex":0.013607505,"about_ca_topic_score_gemma":0.01904831,"teacher_disagreement_score":0.013607505,"about_ca_system_score_codex":0.0008092884,"about_ca_system_score_gemma":0.0005547926,"threshold_uncertainty_score":0.028234363},"labels":[],"label_agreement":null},{"id":"W1994082157","doi":"10.1016/j.applthermaleng.2007.01.015","title":"A preliminary life cycle assessment of PEM fuel cell powered automobiles","year":2007,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":99,"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; University of Waterloo","funders":"","keywords":"Life-cycle assessment; Driving cycle; Proton exchange membrane fuel cell; Greenhouse gas; Fuel efficiency; Environmental science; Internal combustion engine; Automotive industry; Automotive engineering; Engineering; Gasoline; Green vehicle; Hydrogen fuel; Waste management; Fuel cells; Production (economics); Electric vehicle; Aerospace engineering","score_opus":0.002529491610931304,"score_gpt":0.18552952423329064,"score_spread":0.18300003262235934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994082157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802257,0.0006307837,0.005702986,0.000043737487,0.000014283744,0.00010855091,0.0009312893,0.00007836619,0.00446745],"genre_scores_gemma":[0.9954828,0.00018937732,0.0013916905,0.000013223156,0.0000032616654,0.000036875634,0.00058251066,0.0000150945525,0.0022852644],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969673,0.000067660396,0.000014254419,0.000037395996,0.00013543642,0.00004858101],"domain_scores_gemma":[0.9993389,0.0002031652,0.000029035193,0.000035681624,0.00035572422,0.00003737234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008754268,0.00089177914,0.0006059602,0.0014333171,0.0005480502,0.0006070597,0.0006559098,0.0010878154,0.0023538552],"category_scores_gemma":[0.001094764,0.00020701259,0.0008702828,0.0005566518,0.00018823323,0.00075244665,0.00032410692,0.00030167378,0.000547025],"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":[0.009362273,0.0009499272,0.051739935,0.0008575594,0.00030093608,0.0010378998,0.00037536363,0.2841582,0.5015009,0.0013463662,0.001773574,0.14659709],"study_design_scores_gemma":[0.00019580478,0.014760031,0.09969171,0.000071417824,0.00044992194,0.00048486676,0.0005744785,0.28816652,0.58259255,0.0015615842,0.011349065,0.0001020832],"about_ca_topic_score_codex":0.006323389,"about_ca_topic_score_gemma":0.0077586523,"teacher_disagreement_score":0.006323389,"about_ca_system_score_codex":0.0010270184,"about_ca_system_score_gemma":0.00045604698,"threshold_uncertainty_score":0.012573183},"labels":[],"label_agreement":null},{"id":"W1995667241","doi":"10.1109/pesgm.2012.6344628","title":"Profile of charging load on the grid due to","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Automotive engineering; Load profile; Grid; Battery (electricity); Computer science; Plug-in; Electric vehicle; Process (computing); Battery pack; Simulation; Power (physics); Engineering; Electrical engineering; Electricity","score_opus":0.006548696140343396,"score_gpt":0.18967106224276462,"score_spread":0.18312236610242122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995667241","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86802316,0.00048341628,0.029110182,0.00026183965,0.00013422308,0.00014538437,0.019001007,0.0019392387,0.080901586],"genre_scores_gemma":[0.98683727,0.00011289805,0.0012378388,0.00002482237,0.000016833,0.00001734726,0.0043347226,0.00008663363,0.0073315226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976915,0.00002626133,0.000014082896,0.000046333033,0.00011462954,0.000029523253],"domain_scores_gemma":[0.9991641,0.00037264064,0.000079045414,0.000103899976,0.00022455861,0.000055719665],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016518086,0.00016509442,0.00025777382,0.00043178193,0.00020378205,0.000510318,0.0003072081,0.00019426981,0.014122699],"category_scores_gemma":[0.0014619484,0.0000846962,0.00013192846,0.00073432474,0.000067738656,0.00027416047,0.00016455409,0.00018207282,0.0029866914],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020598662,0.00015330088,0.1828086,0.00045330237,0.00015064304,0.0018710848,0.0003349512,0.43972117,0.025586493,0.0064335964,0.045063224,0.29536378],"study_design_scores_gemma":[0.000060461665,0.0006372243,0.2423828,0.00007870001,0.00008505201,0.0020663934,0.0004861599,0.64286226,0.025353372,0.008557263,0.07734924,0.00008107218],"about_ca_topic_score_codex":0.0015269287,"about_ca_topic_score_gemma":0.0022110518,"teacher_disagreement_score":0.9858773,"about_ca_system_score_codex":0.0003846212,"about_ca_system_score_gemma":0.0001442937,"threshold_uncertainty_score":0.047245145},"labels":[],"label_agreement":null},{"id":"W2002033169","doi":"10.1109/tsg.2014.2311457","title":"Real-Time PEV Charging/Discharging Coordination in Smart Distribution Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":141,"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 Waterloo","funders":"","keywords":"Plug-in; Computer science; Architecture; Power (physics); Smart power; Electric power system; Engineering; Automotive engineering","score_opus":0.004853386156343039,"score_gpt":0.19106827607441826,"score_spread":0.18621488991807522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002033169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037805166,0.00016710832,0.9589894,0.00010825242,0.00004304842,0.000045222696,0.000017791868,0.00044573518,0.0023783315],"genre_scores_gemma":[0.97302216,0.0000447946,0.026091147,0.000022320357,0.000017652916,0.000025149382,0.00001336582,0.000017029666,0.0007464653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995049,0.00015274108,0.000025982888,0.00012285022,0.000117247764,0.00007627377],"domain_scores_gemma":[0.9996462,0.00015094609,0.000068614754,0.000045340083,0.00005709325,0.00003185045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060096954,0.00052351167,0.0006948592,0.00024129514,0.00040670665,0.0007300295,0.0009723674,0.00046013415,0.0010426491],"category_scores_gemma":[0.0009199642,0.0002569256,0.00019196265,0.00029246495,0.00043068067,0.000867151,0.0006055705,0.00050437107,0.00016256285],"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":[0.00021198105,0.00007570262,0.00067077926,0.00004970138,0.000023473953,0.00013072272,0.00010212591,0.89490914,0.0066257417,0.00825197,0.0010044293,0.087944314],"study_design_scores_gemma":[0.0000141923365,0.0000357575,0.00010209774,0.0000012970612,0.0000035576559,0.000022402994,0.000012788747,0.99639124,0.0012249603,0.0017284374,0.00045963377,0.000003677487],"about_ca_topic_score_codex":0.0019491313,"about_ca_topic_score_gemma":0.0018803235,"teacher_disagreement_score":0.0019491313,"about_ca_system_score_codex":0.00056681194,"about_ca_system_score_gemma":0.0005320135,"threshold_uncertainty_score":0.0041125417},"labels":[],"label_agreement":null},{"id":"W2005591001","doi":"10.1109/tvt.2013.2288354","title":"Pricing and Revenue Maximization for Battery Charging Services in PHEV Markets","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Monopoly; Revenue; Battery (electricity); Quality of service; Monetization; Profit maximization; Service quality; Dynamic pricing; Service (business); Computer science; Mathematical optimization; Business; Operations research; Telecommunications; Microeconomics; Profit (economics); Engineering; Economics; Finance; Marketing","score_opus":0.002753676770305965,"score_gpt":0.17802791578061938,"score_spread":0.17527423901031342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005591001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18653281,0.0018942974,0.781209,0.0016251408,0.000120761055,0.00011387625,0.000085156564,0.000101621874,0.028317316],"genre_scores_gemma":[0.98210955,0.00078606856,0.01235965,0.00007675243,0.0000873153,0.00004171891,0.00002076501,0.000029909483,0.0044882563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989127,0.00063918356,0.00002221092,0.00008987405,0.000133551,0.0002024196],"domain_scores_gemma":[0.9984596,0.0011218863,0.00013397366,0.0000471839,0.00013291651,0.00010441595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019158726,0.0008058743,0.00115993,0.0005793149,0.00058175414,0.0022574586,0.0014011466,0.0013050733,0.0028672349],"category_scores_gemma":[0.0056106215,0.0005203913,0.001100848,0.00065652485,0.0018818304,0.0037404562,0.0010619496,0.0016586232,0.00029671655],"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":[0.00013233305,0.0001290978,0.0004613115,0.0001598249,0.000049521692,0.00033876256,0.00020587198,0.4196968,0.003872393,0.5609072,0.0012960888,0.012750727],"study_design_scores_gemma":[0.0000205971,0.000052883228,0.00018050782,0.000011203705,0.000011502078,0.00007730394,0.000068285255,0.8954059,0.00046170727,0.10287571,0.00081754144,0.000016988775],"about_ca_topic_score_codex":0.0021134575,"about_ca_topic_score_gemma":0.0010807856,"teacher_disagreement_score":0.0028672349,"about_ca_system_score_codex":0.0019433803,"about_ca_system_score_gemma":0.00115811,"threshold_uncertainty_score":0.014100254},"labels":[],"label_agreement":null},{"id":"W2006579349","doi":"10.1109/smartgridcomm.2014.7007729","title":"A robust design of electric vehicle frequency regulation service","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automatic Generation Control; Benchmark (surveying); Compensation (psychology); Computer science; SIGNAL (programming language); Automatic frequency control; Randomness; Revenue; Electric power system; Control theory (sociology); Power (physics); Engineering; Telecommunications; Control (management); Mathematics","score_opus":0.010497232631602531,"score_gpt":0.17298171669886733,"score_spread":0.1624844840672648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006579349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049090157,0.00019131367,0.98974156,0.00011078617,0.00004530044,0.000036394722,0.000027100892,0.00013899278,0.004799542],"genre_scores_gemma":[0.91224015,0.00038675623,0.08270662,0.00010406757,0.00007113454,0.00015218135,0.000088750516,0.00007403851,0.004176368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914014,0.00019300738,0.000035027784,0.0002655487,0.00024590763,0.00012026657],"domain_scores_gemma":[0.99913615,0.00033389474,0.00016726987,0.000054729444,0.00027079802,0.000037138605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011362669,0.0012822774,0.00097392645,0.00038963062,0.00037184494,0.0013089547,0.0010607485,0.0010911095,0.003214349],"category_scores_gemma":[0.0032296896,0.0005095097,0.00068201195,0.00034854392,0.0007612587,0.0007347682,0.00092616637,0.0009317367,0.00061403116],"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":[0.00007504185,0.000027038288,0.00017710165,0.000098237346,0.000026961454,0.000068434245,0.000041051404,0.9468538,0.004630802,0.017782217,0.0010866176,0.029132614],"study_design_scores_gemma":[0.000007956625,0.0000407982,0.000041195468,0.0000056217195,0.000006095002,0.000014119787,0.000004036769,0.9975426,0.00061094004,0.0012066984,0.0005148869,0.0000050390368],"about_ca_topic_score_codex":0.0027870862,"about_ca_topic_score_gemma":0.0014014863,"teacher_disagreement_score":0.003214349,"about_ca_system_score_codex":0.0010421259,"about_ca_system_score_gemma":0.0012845435,"threshold_uncertainty_score":0.010753095},"labels":[],"label_agreement":null},{"id":"W2009234966","doi":"10.1109/pesgm.2014.6939492","title":"Day-ahead dispatch of PEV loads in a residential distribution system","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"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 Waterloo","funders":"","keywords":"Schedule; Grid; Computer science; Scheduling (production processes); Reliability (semiconductor); Reliability engineering; Capacitor; Automotive engineering; Peak demand; Demand response; Voltage; Electricity; Engineering; Electrical engineering","score_opus":0.002320666432940696,"score_gpt":0.17486426279213813,"score_spread":0.17254359635919742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009234966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154397,0.00011713295,0.0778776,0.00027867896,0.000029117935,0.00009649918,0.0002214182,0.00029854436,0.0056412765],"genre_scores_gemma":[0.9959699,0.00002101597,0.0031982986,0.000008240889,0.0000018932275,0.000011235616,0.000029458753,0.0000073625115,0.00075264747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000074736396,0.0000050778985,0.00002997245,0.000029608684,0.000034387413],"domain_scores_gemma":[0.9997814,0.00011170461,0.00002848618,0.000011344547,0.00003232405,0.000034802553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037653843,0.0004726201,0.0004970024,0.0002866362,0.00045849403,0.0007653817,0.00052143174,0.00075721066,0.0009753002],"category_scores_gemma":[0.00065687223,0.00031424107,0.00021809187,0.00036687765,0.00033868244,0.00042797197,0.00027576825,0.00062569755,0.000110863126],"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":[0.000070579255,0.00003298501,0.00046149097,0.000008909908,0.000007022881,0.000057266498,0.000016168138,0.9951774,0.00053272775,0.0005775047,0.00016401705,0.0028939387],"study_design_scores_gemma":[0.0000061655887,0.000029222432,0.0002134928,5.035757e-7,0.000002178097,0.0000049444334,0.000016630715,0.99914,0.00022175217,0.00029123042,0.00007137957,0.000002519084],"about_ca_topic_score_codex":0.01745941,"about_ca_topic_score_gemma":0.021625284,"teacher_disagreement_score":0.01745941,"about_ca_system_score_codex":0.0016982575,"about_ca_system_score_gemma":0.0010455208,"threshold_uncertainty_score":0.034715593},"labels":[],"label_agreement":null},{"id":"W2010420651","doi":"10.1109/epec.2014.14","title":"An Evaluation of Electric Vehicle Penetration under Demand Response in a Multi-Agent Based Simulation","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"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 Regina","funders":"","keywords":"Electric vehicle; Automotive engineering; Computer science; Demand response; Scheduling (production processes); Electric power system; Peak demand; Simulation; Power (physics); Engineering; Electrical engineering; Electricity","score_opus":0.02285057401564812,"score_gpt":0.2816226895079363,"score_spread":0.2587721154922882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010420651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97036934,0.000060022187,0.022750145,0.00016696124,0.000024256777,0.000076411925,0.00015669772,0.00016430253,0.006231872],"genre_scores_gemma":[0.9963498,0.000027141909,0.0031626457,0.000012856941,0.0000016920457,0.00002755958,0.0000567842,0.000007036427,0.00035458495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994586,0.00029806574,0.000028399743,0.000043199132,0.000098414996,0.00007332067],"domain_scores_gemma":[0.9971253,0.0019891274,0.00023642849,0.0001713397,0.0003417884,0.00013602465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013535938,0.00050566014,0.0004372696,0.0004994715,0.00029312205,0.00079357746,0.0005724418,0.0007464041,0.001123253],"category_scores_gemma":[0.003614627,0.00021502524,0.00040345348,0.0003963949,0.00037535754,0.00068020454,0.0005079606,0.00061973644,0.000106580905],"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":[0.00013713614,0.000110981586,0.0027288636,0.000024289146,0.000021417318,0.000047601843,0.000038835566,0.99255836,0.0009866668,0.0011035305,0.00008848088,0.0021537447],"study_design_scores_gemma":[0.000012194665,0.0001221525,0.00062654517,0.0000029273867,0.0000070766155,0.0000063745597,0.000026780934,0.9982547,0.0006376962,0.00019501212,0.0001043779,0.000004083856],"about_ca_topic_score_codex":0.0089321155,"about_ca_topic_score_gemma":0.0044932812,"teacher_disagreement_score":0.0089321155,"about_ca_system_score_codex":0.00086976093,"about_ca_system_score_gemma":0.0004882905,"threshold_uncertainty_score":0.017760217},"labels":[],"label_agreement":null},{"id":"W2011770978","doi":"10.1109/icpe.2011.5944505","title":"Economic analysis of the microgrid with multi-energy and electric vehicles","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"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 New Brunswick","funders":"","keywords":"Microgrid; Automotive engineering; Photovoltaic system; Energy storage; Battery (electricity); Computer science; Engineering; Renewable energy; Power (physics); Electrical engineering","score_opus":0.004878300952107363,"score_gpt":0.15920058384390715,"score_spread":0.15432228289179978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011770978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.670715,0.001843692,0.20649064,0.0028357392,0.00019020204,0.0002678508,0.0010328268,0.0001341786,0.11648984],"genre_scores_gemma":[0.9929133,0.00034417972,0.0023895935,0.000023716124,0.000016050193,0.000047671485,0.00006982858,0.000012615363,0.004183084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972147,0.00014177272,0.000006839749,0.0000227514,0.00004950367,0.0000577048],"domain_scores_gemma":[0.99961865,0.00021052801,0.00004458882,0.000019245497,0.00005698762,0.00005003002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596702,0.00065269804,0.0005451259,0.00061472296,0.0005295837,0.001239234,0.0007686708,0.0005750136,0.0037127766],"category_scores_gemma":[0.0013489568,0.0003621786,0.0007120459,0.00061626517,0.0006876064,0.0016606476,0.0007630963,0.0006035224,0.00019336207],"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":[0.000048870334,0.000022919943,0.0009972751,0.00003124794,0.000025062207,0.00017101417,0.000016942015,0.97006285,0.00028936012,0.024713771,0.00052475714,0.003095856],"study_design_scores_gemma":[0.000010389027,0.00003085241,0.0009504191,0.0000072886482,0.00001278227,0.000029766667,0.00008875692,0.98969066,0.00011699121,0.00824753,0.0008075523,0.0000070122264],"about_ca_topic_score_codex":0.014558937,"about_ca_topic_score_gemma":0.010820143,"teacher_disagreement_score":0.014558937,"about_ca_system_score_codex":0.0025029453,"about_ca_system_score_gemma":0.001382174,"threshold_uncertainty_score":0.028948426},"labels":[],"label_agreement":null},{"id":"W2012203321","doi":"10.1109/itec.2012.6243446","title":"On the inefficiency of vehicle-to-grid (V2G) power flow: Potential barriers and possible research directions","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vehicle-to-grid; Inefficiency; Battery pack; Grid; Automotive engineering; Battery (electricity); Distributed generation; Power electronics; Electricity; Computer science; Electrical engineering; Electric vehicle; Power flow; Grid connection; Power (physics); Engineering; Electric power system; Renewable energy; Photovoltaic system; Voltage","score_opus":0.009198463837832025,"score_gpt":0.24219872398355366,"score_spread":0.23300026014572164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012203321","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20397449,0.10078049,0.3486239,0.08850056,0.0010774803,0.00031528116,0.0004408048,0.00063138764,0.2556556],"genre_scores_gemma":[0.88225484,0.05947404,0.040974226,0.0020694544,0.0007785503,0.000114792805,0.00021866897,0.00016684376,0.013948584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982284,0.000780649,0.00006836015,0.00021405668,0.0005113407,0.00019732128],"domain_scores_gemma":[0.989499,0.0074796253,0.0005881394,0.0005384346,0.0017265026,0.0001682796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035661382,0.0007053004,0.001064159,0.0012993693,0.00087916123,0.0049700327,0.0020770165,0.0020765925,0.009190454],"category_scores_gemma":[0.008462551,0.00033594755,0.0005083239,0.0030903749,0.0030446548,0.0117601575,0.0013983792,0.001740301,0.0011672615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002542618,0.00027027144,0.0061916425,0.0014075291,0.00007598601,0.000506387,0.00063010573,0.036303353,0.0031294967,0.63155484,0.012189123,0.30748695],"study_design_scores_gemma":[0.00006280672,0.0005910528,0.0065220594,0.0013553613,0.00012531629,0.0012451801,0.0064848247,0.08477779,0.010753592,0.72881275,0.15912126,0.00014798094],"about_ca_topic_score_codex":0.0030551213,"about_ca_topic_score_gemma":0.0023379447,"teacher_disagreement_score":0.009190454,"about_ca_system_score_codex":0.0019189762,"about_ca_system_score_gemma":0.0014303861,"threshold_uncertainty_score":0.030745089},"labels":[],"label_agreement":null},{"id":"W2014236344","doi":"10.1109/tvt.2014.2371912","title":"A Comparative Analysis of Optimal Sizing of Battery-Only, Ultracapacitor-Only, and Battery–Ultracapacitor Hybrid Energy Storage Systems for a City Bus","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":179,"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 Waterloo","funders":"","keywords":"Sizing; Battery (electricity); Supercapacitor; Energy storage; Particle swarm optimization; Driving cycle; Electric vehicle; Automotive engineering; Engineering; Computer data storage; Computer science; Power (physics); Algorithm; Capacitance; Chemistry","score_opus":0.007165091985259753,"score_gpt":0.20811970739503577,"score_spread":0.20095461540977602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014236344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919468,0.001334168,0.049469635,0.00026870696,0.000043363918,0.00013657869,0.00058744976,0.00034652994,0.028345577],"genre_scores_gemma":[0.99387795,0.00014861407,0.004979249,0.000011616345,0.0000039204433,0.000019175124,0.00013943929,0.0000214037,0.00079871557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974424,0.00006890919,0.000020276659,0.00003525678,0.000082661776,0.00004863255],"domain_scores_gemma":[0.9995421,0.00022254215,0.000044299068,0.000039986116,0.0001259432,0.000025089483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052279636,0.00058851874,0.000565277,0.0007251198,0.00031137426,0.00087985897,0.00038418,0.0003228136,0.0023274058],"category_scores_gemma":[0.0010158133,0.00032683686,0.00035079708,0.0006837418,0.00025047173,0.00076372124,0.00024582937,0.00027742036,0.00018070421],"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":[0.0005956872,0.00008719407,0.0029428017,0.00023615506,0.00008535312,0.000098207296,0.00006483262,0.93555063,0.013218029,0.003675749,0.0012160742,0.04222926],"study_design_scores_gemma":[0.00008335953,0.0006758868,0.009078898,0.000026116544,0.00012442634,0.00008754561,0.00029173243,0.9671039,0.017082814,0.0028280572,0.0025893876,0.000027916194],"about_ca_topic_score_codex":0.0033715712,"about_ca_topic_score_gemma":0.00744794,"teacher_disagreement_score":0.0033715712,"about_ca_system_score_codex":0.000995247,"about_ca_system_score_gemma":0.00074815954,"threshold_uncertainty_score":0.007785976},"labels":[],"label_agreement":null},{"id":"W2015020077","doi":"10.1145/2768510.2768529","title":"Auc2Charge","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Software deployment; Electricity; Computer science; Grid; Mode (computer interface); Social Welfare; Double auction; Environmental economics; Operations research; Simulation; Microeconomics; Common value auction; Electrical engineering; Economics; Engineering","score_opus":0.009329957417478538,"score_gpt":0.18822113659470116,"score_spread":0.17889117917722264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015020077","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048276495,0.0016140533,0.50668496,0.0021655688,0.0012728214,0.0013829891,0.0052285804,0.03287858,0.40049586],"genre_scores_gemma":[0.68951464,0.0010933013,0.1606683,0.0011284676,0.00042073612,0.0006322271,0.009865322,0.0024909899,0.13418593],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986442,0.00025765842,0.00004937234,0.00021773526,0.00057548226,0.00025560285],"domain_scores_gemma":[0.99846774,0.000342203,0.00008095157,0.0005005057,0.00042383486,0.00018474592],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013470345,0.0008413089,0.00072195556,0.0007680005,0.0007818189,0.0028621422,0.002277791,0.0011874585,0.060956072],"category_scores_gemma":[0.004409822,0.0002736799,0.0006848491,0.00090976944,0.0005965616,0.0025858532,0.0022247306,0.0015208805,0.014578357],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016683735,0.000640381,0.0033029541,0.00056423416,0.00011753433,0.0007889727,0.00018064569,0.061177913,0.008970106,0.2100496,0.22148252,0.49105677],"study_design_scores_gemma":[0.00040769277,0.00047689193,0.001426166,0.00006420737,0.000034003213,0.0013793944,0.000120650315,0.48332193,0.010695086,0.120142624,0.38181537,0.00011593558],"about_ca_topic_score_codex":0.0021549864,"about_ca_topic_score_gemma":0.0030531802,"teacher_disagreement_score":0.93904394,"about_ca_system_score_codex":0.0010288546,"about_ca_system_score_gemma":0.0015759082,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2015843896","doi":"10.1109/ievc.2012.6183227","title":"Quality of service in Plug-in Electric Vehicle charging infrastructure","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"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 Ottawa","funders":"","keywords":"Electrification; Vehicle-to-grid; Smart grid; Grid; Quality of service; Automotive engineering; Electric vehicle; Energy management; Plug-in; Computer science; Engineering; Computer network; Electricity; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.008578404604427008,"score_gpt":0.22949789213918845,"score_spread":0.22091948753476143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015843896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2467956,0.0034214437,0.7150876,0.002826178,0.0003694234,0.0001505108,0.00013985918,0.0006894774,0.030519914],"genre_scores_gemma":[0.9935773,0.0002952267,0.0048423177,0.000049620874,0.00003405047,0.000016172868,0.00001966192,0.00001265299,0.0011530841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99894375,0.0004052135,0.000029831292,0.00012041943,0.0002796716,0.00022096222],"domain_scores_gemma":[0.9985879,0.000729395,0.00018263994,0.0001101497,0.00029658087,0.00009336184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010547473,0.00047952164,0.00039333478,0.00045834458,0.0005845761,0.0017731644,0.0010207434,0.00077921414,0.0017078113],"category_scores_gemma":[0.004029342,0.00025123806,0.00029650162,0.0007344598,0.00085086,0.0014511178,0.0008315096,0.00072434795,0.00021814511],"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":[0.00045131688,0.000219294,0.005554348,0.00026524253,0.000047461534,0.00057979726,0.00021880756,0.6444786,0.008898003,0.22911902,0.0060434244,0.104124546],"study_design_scores_gemma":[0.000015200792,0.00006819823,0.00066003896,0.0000147018,0.000010508355,0.000116967814,0.000062401814,0.97095317,0.00061615056,0.025516625,0.0019537872,0.000012216627],"about_ca_topic_score_codex":0.006232812,"about_ca_topic_score_gemma":0.0027678881,"teacher_disagreement_score":0.006232812,"about_ca_system_score_codex":0.002621491,"about_ca_system_score_gemma":0.001017472,"threshold_uncertainty_score":0.019020319},"labels":[],"label_agreement":null},{"id":"W2016193349","doi":"10.1016/j.enpol.2014.04.016","title":"Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling","year":2014,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":355,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy storage; Environmental economics; Battery (electricity); Greenhouse gas; Electricity; Reuse; Electric vehicle; Load shifting; Automotive engineering; Smart grid; Peak demand; Incentive; Engineering; Waste management; Electrical engineering; Economics; Power (physics)","score_opus":0.004965764872604808,"score_gpt":0.19781652994862772,"score_spread":0.19285076507602292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016193349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73612535,0.005290757,0.042429857,0.009713221,0.0005468799,0.000357978,0.0023838736,0.00022085893,0.2029312],"genre_scores_gemma":[0.9781432,0.0005738754,0.0009812051,0.00013273217,0.000055219298,0.00004813443,0.00015778774,0.000027199325,0.019880546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988741,0.00043452586,0.000029968474,0.00010275206,0.00017202352,0.00038650038],"domain_scores_gemma":[0.9968284,0.0023975186,0.00017979118,0.000094422176,0.00029961526,0.00020035381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024865863,0.00091590645,0.0015985309,0.001800104,0.0011064343,0.0043351087,0.0018341079,0.002376113,0.015178218],"category_scores_gemma":[0.0068353917,0.0011955354,0.00198908,0.0015661691,0.001879478,0.0036896265,0.0013446893,0.002762058,0.00047571192],"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":[0.0022256111,0.00052028545,0.002849509,0.00030445267,0.00016996877,0.00073821907,0.00014350486,0.69048053,0.0022440401,0.2766495,0.007000388,0.016673973],"study_design_scores_gemma":[0.00024963968,0.00047501398,0.0045364993,0.000090076304,0.0002694881,0.00021466191,0.0006778378,0.91350603,0.0016687255,0.07004382,0.008164926,0.00010316765],"about_ca_topic_score_codex":0.024601819,"about_ca_topic_score_gemma":0.027537607,"teacher_disagreement_score":0.024601819,"about_ca_system_score_codex":0.0089518875,"about_ca_system_score_gemma":0.0037635881,"threshold_uncertainty_score":0.064950764},"labels":[],"label_agreement":null},{"id":"W2018237604","doi":"10.1109/iwcmc.2012.6314321","title":"A two-way communication scheme for vehicles charging control in the smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"National Research Council Canada","keywords":"Smart grid; Reservation; Computer science; Electricity; Electric vehicle; Grid; Wireless; Vehicle-to-grid; Scheme (mathematics); Mains electricity; Process (computing); Computer network; Telecommunications; Engineering; Electrical engineering; Power (physics)","score_opus":0.009116895990831429,"score_gpt":0.2218870625005408,"score_spread":0.21277016650970937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018237604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04939795,0.0010269778,0.93715954,0.0004200804,0.00040142192,0.00031026505,0.00010585443,0.0013231654,0.009854606],"genre_scores_gemma":[0.92260665,0.0003595372,0.068692274,0.000105733576,0.00008471021,0.000237208,0.00011036384,0.000036282683,0.007767259],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946946,0.00016177488,0.000037801263,0.00007642323,0.00016007185,0.00009455424],"domain_scores_gemma":[0.99947387,0.00014920573,0.000058749578,0.000116271156,0.00016372549,0.00003826727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000560156,0.0004373227,0.00050392793,0.00065564824,0.000893438,0.00082803814,0.0009076941,0.00071389804,0.0022746876],"category_scores_gemma":[0.0013211445,0.00015393418,0.00034490286,0.000760222,0.0004978101,0.0009647315,0.0007801616,0.00062080176,0.00053101266],"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":[0.0012869249,0.00029485143,0.0013405347,0.00049134705,0.00013394511,0.00066535675,0.00094903575,0.26740164,0.053990897,0.1656897,0.01398637,0.4937694],"study_design_scores_gemma":[0.00017164116,0.00052535173,0.00058305124,0.000035853882,0.00006586543,0.0006289616,0.0001335093,0.9285719,0.013756035,0.021680096,0.033761267,0.000086479384],"about_ca_topic_score_codex":0.0021171002,"about_ca_topic_score_gemma":0.001962062,"teacher_disagreement_score":0.0022746876,"about_ca_system_score_codex":0.0006098749,"about_ca_system_score_gemma":0.0006561305,"threshold_uncertainty_score":0.007609606},"labels":[],"label_agreement":null},{"id":"W2018637318","doi":"10.1109/icc.2013.6655612","title":"Advanced scheduling protocol for electric vehicle home charging with time-of-use pricing","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"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 de Sherbrooke","funders":"","keywords":"Computer science; Scheduling (production processes); Electric vehicle; Automotive engineering; Computer network; Distributed computing; Mathematical optimization; Engineering; Power (physics); Mathematics","score_opus":0.008587154125851976,"score_gpt":0.2293430063883899,"score_spread":0.2207558522625379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018637318","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008923972,0.00024206954,0.98372686,0.0003298865,0.00027101533,0.00023006149,0.000051580984,0.00024065808,0.0059838556],"genre_scores_gemma":[0.68553656,0.0008150599,0.3030039,0.0003871104,0.00038177686,0.0006717921,0.00022925495,0.00013842367,0.008836034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983063,0.00061653403,0.00013196503,0.00018310406,0.0006007485,0.00016129455],"domain_scores_gemma":[0.9983742,0.0007310721,0.00015355388,0.00025184336,0.00041655728,0.000072716975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016502191,0.0005349225,0.0006643514,0.0005309231,0.00067629415,0.0014594031,0.0013523645,0.0009520397,0.0030471438],"category_scores_gemma":[0.0038194947,0.0002169243,0.00043924397,0.00078580366,0.0007681253,0.0015658867,0.001178659,0.0016465427,0.00057602645],"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":[0.00036187118,0.00024061537,0.00038355115,0.00026269958,0.000060541046,0.0005385909,0.0003409062,0.22183532,0.022173017,0.6022951,0.009385267,0.14212252],"study_design_scores_gemma":[0.000055352553,0.0001507846,0.0001399826,0.000025262494,0.000024396886,0.00028516309,0.00007193198,0.8819935,0.0064243167,0.09033054,0.02046067,0.00003816637],"about_ca_topic_score_codex":0.0009258303,"about_ca_topic_score_gemma":0.0008416197,"teacher_disagreement_score":0.0030471438,"about_ca_system_score_codex":0.0010885239,"about_ca_system_score_gemma":0.0014751055,"threshold_uncertainty_score":0.010193706},"labels":[],"label_agreement":null},{"id":"W2020441132","doi":"10.1016/j.jpowsour.2013.03.179","title":"Optimal contracts for providing load-side frequency regulation service using fleets of electric vehicles","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Service (business); Business; Computer science; Transport engineering; Telecommunications; Operations research; Engineering; Marketing","score_opus":0.007996581512419023,"score_gpt":0.21010615081668316,"score_spread":0.20210956930426413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020441132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5469898,0.00029844666,0.42345306,0.0018314645,0.0001785145,0.00068076205,0.0005722552,0.00044514693,0.02555058],"genre_scores_gemma":[0.9802157,0.00006831192,0.016484769,0.000039036637,0.000024062805,0.00008128489,0.00006551144,0.000029964473,0.0029912326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787676,0.0010640818,0.00009388533,0.00022179392,0.0002619679,0.0004815199],"domain_scores_gemma":[0.9939174,0.003978895,0.00065575365,0.00037064095,0.0004426162,0.00063461304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038355938,0.00084244163,0.0014429085,0.00093106227,0.00081359217,0.0016750523,0.0019697656,0.0026176511,0.007966757],"category_scores_gemma":[0.013668801,0.0010927937,0.0007083498,0.0009619806,0.0010369448,0.002849407,0.0016691412,0.0019320723,0.00042889558],"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":[0.00062577793,0.00019136364,0.0010528684,0.000069514244,0.000040804254,0.00015650537,0.00007842651,0.9384456,0.0016623164,0.034448672,0.0018959081,0.021332303],"study_design_scores_gemma":[0.00008391426,0.0001523945,0.00053769496,0.000016485325,0.000012962353,0.000035198016,0.00007079247,0.9821002,0.0003583182,0.01592182,0.0006942229,0.000015920994],"about_ca_topic_score_codex":0.0049386905,"about_ca_topic_score_gemma":0.0050800154,"teacher_disagreement_score":0.007966757,"about_ca_system_score_codex":0.0017605193,"about_ca_system_score_gemma":0.002090373,"threshold_uncertainty_score":0.026651442},"labels":[],"label_agreement":null},{"id":"W2023165490","doi":"10.1109/iwcmc.2013.6583536","title":"Queuing model for EVs charging at public supply stations","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":84,"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 de Sherbrooke","funders":"","keywords":"Queueing theory; Charging station; Computer science; Grid; Smart grid; Electric vehicle; Load balancing (electrical power); Automotive engineering; Real-time computing; Simulation; Electrical engineering; Computer network; Engineering","score_opus":0.019096061413141654,"score_gpt":0.22420431852338507,"score_spread":0.2051082571102434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023165490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039840613,0.0009038232,0.93781084,0.0016007064,0.00046036023,0.00023415491,0.00092701253,0.0005876563,0.017634848],"genre_scores_gemma":[0.9064616,0.001712881,0.038662218,0.00038163157,0.00037003082,0.00054482115,0.0007961721,0.00014464023,0.05092599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847776,0.00042735646,0.00007908587,0.00030215282,0.00028695402,0.00042677444],"domain_scores_gemma":[0.9984818,0.0007750311,0.00018376905,0.00006558158,0.00036877347,0.00012510599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018663211,0.0013912334,0.0017504193,0.0007833189,0.001114236,0.0025128508,0.0037041316,0.0022434092,0.009570567],"category_scores_gemma":[0.0031395108,0.000885251,0.001198979,0.0015544085,0.0011407966,0.0024306655,0.0012495148,0.002173307,0.0013023088],"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":[0.00013839896,0.00006230699,0.0005550214,0.000074055686,0.00003339792,0.00017258231,0.000115942545,0.91331106,0.0010315572,0.07856461,0.00201248,0.003928538],"study_design_scores_gemma":[0.000021571932,0.000020893582,0.000094197974,0.0000051906513,0.000010585667,0.000009494497,0.00002598362,0.9925258,0.00007207898,0.0064472845,0.00075663504,0.000010223119],"about_ca_topic_score_codex":0.029160162,"about_ca_topic_score_gemma":0.015528318,"teacher_disagreement_score":0.029160162,"about_ca_system_score_codex":0.0039556306,"about_ca_system_score_gemma":0.002759111,"threshold_uncertainty_score":0.057980895},"labels":[],"label_agreement":null},{"id":"W2024777053","doi":"10.1109/glocom.2011.6134056","title":"Security Mechanism for Multi-Domain Vehicle-to-Grid Infrastructure","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"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 Ottawa","funders":"","keywords":"Smart grid; Computer science; Interoperability; Grid; Computer security; Vehicle-to-grid; Key (lock); Software deployment; Critical infrastructure; Computer network; Distributed computing; Electric vehicle; Power (physics); Engineering; Operating system; Electrical engineering","score_opus":0.012655569581197904,"score_gpt":0.21098712263321245,"score_spread":0.19833155305201455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024777053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2150104,0.00047018114,0.7697951,0.0008677857,0.00015767175,0.00045877503,0.0001297497,0.0043662274,0.008744118],"genre_scores_gemma":[0.9691765,0.0000741934,0.028967338,0.000060994742,0.000018036339,0.00009414583,0.00007825452,0.00002307926,0.0015075533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986482,0.0003159181,0.00012290142,0.00027999553,0.00033690908,0.00029616573],"domain_scores_gemma":[0.9972224,0.00057988643,0.00035339125,0.0010139493,0.000640938,0.0001893509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023558505,0.0004470303,0.0005180575,0.0010284431,0.0012070311,0.0021269347,0.0017210451,0.0011164731,0.0022233592],"category_scores_gemma":[0.0028990365,0.000331465,0.00048690775,0.00042906936,0.00094129,0.0035608644,0.0027476612,0.0010865171,0.0006015042],"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":[0.0014158359,0.0006868136,0.009551197,0.00040650548,0.00029683553,0.0012876983,0.0014203016,0.16962618,0.12772672,0.48912755,0.012103084,0.18635133],"study_design_scores_gemma":[0.00013476008,0.0003169173,0.0013147858,0.000040241423,0.00010046151,0.00057264045,0.00019227057,0.9038129,0.041972905,0.03986761,0.011589767,0.00008474347],"about_ca_topic_score_codex":0.0011790112,"about_ca_topic_score_gemma":0.0008532522,"teacher_disagreement_score":0.0023558505,"about_ca_system_score_codex":0.0014696612,"about_ca_system_score_gemma":0.0012202582,"threshold_uncertainty_score":0.01245904},"labels":[],"label_agreement":null},{"id":"W2025310394","doi":"10.1109/allerton.2013.6736552","title":"A Stackelberg game model for Plug-in Electric Vehicles in a Smart Grid","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Stackelberg competition; Monopolistic competition; Computer science; Smart grid; Grid; Game theory; Battery (electricity); Simultaneous game; Non-cooperative game; Mathematical optimization; Mathematical economics; Microeconomics; Economics; Engineering; Monopoly; Mathematics; Electrical engineering","score_opus":0.006484854373324868,"score_gpt":0.19220896308244673,"score_spread":0.18572410870912187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025310394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16517988,0.0003727553,0.79969126,0.0012493382,0.00011200195,0.00022881608,0.00028482935,0.00015546624,0.032725684],"genre_scores_gemma":[0.9567041,0.0003709464,0.024449904,0.00016560641,0.000047853515,0.00017574272,0.00010765562,0.000025528325,0.017952662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942267,0.00020876309,0.000018433655,0.000117052,0.00010131764,0.00013185057],"domain_scores_gemma":[0.99952817,0.00023213871,0.000072642695,0.000022817918,0.00006929221,0.00007484734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087493146,0.0010200571,0.0010227179,0.00049069576,0.0009345146,0.0020138696,0.0019456039,0.0020490198,0.0052688187],"category_scores_gemma":[0.001604235,0.0004531151,0.0009774198,0.0005680873,0.0014612762,0.0030667915,0.0009678787,0.0012918254,0.00049831474],"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":[0.00008491806,0.000077756675,0.00063603563,0.000057225254,0.000040784907,0.0005300216,0.00021229038,0.6846747,0.0019989382,0.30677074,0.001054812,0.003861924],"study_design_scores_gemma":[0.00003419856,0.000060196555,0.00012112492,0.000008329125,0.00001655909,0.00006000151,0.00007549232,0.93838173,0.00025349087,0.059675314,0.0012962924,0.000017331813],"about_ca_topic_score_codex":0.01075348,"about_ca_topic_score_gemma":0.0073262663,"teacher_disagreement_score":0.01075348,"about_ca_system_score_codex":0.0016296919,"about_ca_system_score_gemma":0.0014807167,"threshold_uncertainty_score":0.021381795},"labels":[],"label_agreement":null},{"id":"W2025839578","doi":"10.1109/isgt.2014.6816501","title":"Priority-based charging coordination of plug-in electric vehicles in smart parking lots","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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 Waterloo","funders":"","keywords":"Plug-in; Computer science; Scheduling (production processes); Fuzzy logic; Electric vehicle; Automotive engineering; Real-time computing; Simulation; Engineering; Artificial intelligence; Operating system; Operations management","score_opus":0.0043229397627105514,"score_gpt":0.1915601732522931,"score_spread":0.18723723348958254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025839578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0603516,0.00019250633,0.93665624,0.000091985436,0.00008089988,0.00011216732,0.000029780767,0.00047939937,0.0020053748],"genre_scores_gemma":[0.94549805,0.00006291421,0.053407263,0.000022684375,0.000024891111,0.00003465736,0.000026795951,0.000014738189,0.0009080507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.00010979576,0.000036772482,0.000101630125,0.00011428761,0.00008038225],"domain_scores_gemma":[0.9995223,0.00013816154,0.00009226586,0.000027990201,0.00014261225,0.00007672509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072492694,0.0005519039,0.00067232875,0.0006589207,0.000504963,0.0009061905,0.0009952575,0.00043021634,0.0010602443],"category_scores_gemma":[0.0010249922,0.00029254943,0.00028025132,0.0004107123,0.00032476915,0.0007419922,0.00044843482,0.00033040871,0.00014422368],"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":[0.00047268794,0.00022413536,0.0024991815,0.0001755876,0.00007512837,0.00026567976,0.00032313372,0.7638167,0.019052409,0.010620463,0.0018863374,0.20058861],"study_design_scores_gemma":[0.000028474991,0.000078518264,0.0003649724,0.0000032593462,0.000014272536,0.00003847276,0.000042304626,0.9949239,0.0024198908,0.0014724584,0.00060307747,0.000010507059],"about_ca_topic_score_codex":0.0036915338,"about_ca_topic_score_gemma":0.0047145886,"teacher_disagreement_score":0.0036915338,"about_ca_system_score_codex":0.0005485367,"about_ca_system_score_gemma":0.0009279047,"threshold_uncertainty_score":0.0073400736},"labels":[],"label_agreement":null},{"id":"W2026916891","doi":"10.1016/j.trd.2012.03.001","title":"Who can recharge a plug-in electric vehicle at home?","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; California Energy Commission","keywords":"Electric vehicle; Sample (material); Plug-in; Groundwater recharge; Business; Electric cars; Transport engineering; Environmental economics; Advertising; Engineering; Computer science; Automotive engineering; Economics; Power (physics)","score_opus":0.01872151421943014,"score_gpt":0.237140701437443,"score_spread":0.21841918721801287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026916891","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045116376,0.05985719,0.002974934,0.76829237,0.008117422,0.00006808509,0.00041266644,0.0002669091,0.11489403],"genre_scores_gemma":[0.62837464,0.13840222,0.003699188,0.13965072,0.0155790495,0.00014526423,0.0006207094,0.00017679557,0.07335137],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992505,0.00023903493,0.000048644608,0.00007950589,0.00018558343,0.00019673881],"domain_scores_gemma":[0.9970974,0.0010939921,0.00030348112,0.00010826216,0.000672452,0.000724519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014341916,0.0003131432,0.0005746166,0.00040363715,0.0014575926,0.0026040967,0.0009158699,0.0055238004,0.027814817],"category_scores_gemma":[0.011839959,0.00023101187,0.0005179168,0.00033489102,0.0013602037,0.007512568,0.0008030331,0.0030494481,0.008621794],"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":[0.0004261693,0.0010571287,0.04283115,0.00078747707,0.00012868457,0.0041244146,0.001320415,0.000275288,0.0006719128,0.012934406,0.48495796,0.450485],"study_design_scores_gemma":[0.00018394567,0.00055209105,0.03338973,0.00593242,0.0003271379,0.02226503,0.03751408,0.0010044889,0.0021842185,0.07318969,0.8232377,0.00021938371],"about_ca_topic_score_codex":0.0071459142,"about_ca_topic_score_gemma":0.012567847,"teacher_disagreement_score":0.027814817,"about_ca_system_score_codex":0.00091965223,"about_ca_system_score_gemma":0.0020239872,"threshold_uncertainty_score":0.093049765},"labels":[],"label_agreement":null},{"id":"W2029002679","doi":"10.1109/jstsp.2014.2333499","title":"Real-Time Power Balancing in Electric Grids With Distributed Storage","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":56,"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; University of Toronto","funders":"","keywords":"Computer science; Distributed generation; Power (physics); Distributed computing; Physics","score_opus":0.0028833069919044557,"score_gpt":0.1898415908911097,"score_spread":0.18695828389920524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029002679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0458616,0.00032044016,0.9494743,0.0002526164,0.00004062649,0.000045555305,0.000021230773,0.00042212833,0.0035614723],"genre_scores_gemma":[0.9283903,0.00012492486,0.06883443,0.00004544639,0.000021617761,0.000057476856,0.000023528153,0.000036370704,0.0024660423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997843,0.00007612611,0.000011769908,0.00004744377,0.000056262103,0.000024062303],"domain_scores_gemma":[0.9995896,0.00022415131,0.000064875516,0.00003778386,0.000063461346,0.000020166346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110939,0.0005051979,0.000493454,0.00018556691,0.000368972,0.00065113266,0.000711999,0.0004961478,0.0011927355],"category_scores_gemma":[0.001248,0.000228087,0.00017419402,0.0004085752,0.00052273576,0.00077574136,0.00060075073,0.0005243504,0.00025356558],"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":[0.00008991071,0.000026048416,0.00028166678,0.000034421904,0.000010414345,0.00007010191,0.00005167714,0.9525137,0.0034076762,0.008747198,0.0005250839,0.034242157],"study_design_scores_gemma":[0.000014269303,0.000017206961,0.000032311364,0.0000019991217,0.0000019197607,0.000014996731,0.0000073685783,0.99599046,0.00059593713,0.0029792157,0.00034198188,0.0000023606258],"about_ca_topic_score_codex":0.0022790248,"about_ca_topic_score_gemma":0.0028889491,"teacher_disagreement_score":0.0022790248,"about_ca_system_score_codex":0.00056974957,"about_ca_system_score_gemma":0.00058667647,"threshold_uncertainty_score":0.0045315623},"labels":[],"label_agreement":null},{"id":"W2029198020","doi":"10.1504/ijehv.2014.062807","title":"Intelligent power management of plug-in hybrid electric vehicles, part I: real-time optimum SOC trajectory builder","year":2014,"lang":"en","type":"article","venue":"International Journal of Electric and Hybrid Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"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 Waterloo","funders":"","keywords":"Trajectory; Automotive engineering; Plug-in; Electricity; Dynamic programming; Controller (irrigation); Propulsion; Fuel efficiency; Engineering; Power (physics); Power management; Computer science; Simulation; Electrical engineering","score_opus":0.00508069269016314,"score_gpt":0.21016542266498778,"score_spread":0.20508472997482463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029198020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07400982,0.00035429333,0.9134166,0.00016449885,0.000036909936,0.0000751816,0.00005557423,0.00044272857,0.011444398],"genre_scores_gemma":[0.9792891,0.00011320638,0.018403603,0.000012938793,0.000007767738,0.00003775146,0.00003456154,0.000021371397,0.0020796228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999162,0.000023373783,0.000004278672,0.00001710661,0.000026696753,0.000012344188],"domain_scores_gemma":[0.9999275,0.000024248995,0.000017535109,0.0000069254716,0.000019587027,0.000004268898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024269265,0.0003811282,0.00025384786,0.00018063687,0.00022433572,0.00060412526,0.00030643234,0.0002284947,0.0010753942],"category_scores_gemma":[0.0003715901,0.00022200258,0.0001909291,0.00016860227,0.0002595717,0.00035517593,0.00026787916,0.00031731604,0.00015476013],"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":[0.000060658585,0.000023322471,0.0003908085,0.00003988123,0.000012143732,0.000038059436,0.000045108467,0.95474434,0.0051734084,0.0031115168,0.00052902295,0.035831686],"study_design_scores_gemma":[0.0000046610076,0.000026429992,0.00018046315,0.0000027900714,0.000003164063,0.0000072431158,0.000007760679,0.9971419,0.0011629014,0.0008026243,0.0006572476,0.0000027994588],"about_ca_topic_score_codex":0.0027244138,"about_ca_topic_score_gemma":0.0033033406,"teacher_disagreement_score":0.0027244138,"about_ca_system_score_codex":0.0003611959,"about_ca_system_score_gemma":0.00037869223,"threshold_uncertainty_score":0.0054171085},"labels":[],"label_agreement":null},{"id":"W2029577040","doi":"10.1080/15435075.2012.727364","title":"Optimal Charging Control for Plug-in Electric Vehicles in Smart Microgrids Fueled by Renewable Energy Sources","year":2013,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Renewable energy; Battery (electricity); Service (business); Automotive engineering; Computer science; Engineering; Environmental economics; Power (physics); Electrical engineering; Business","score_opus":0.0028524310465014753,"score_gpt":0.18350331084802146,"score_spread":0.18065087980151998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029577040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17233017,0.00069548504,0.81458116,0.0007480368,0.00014473115,0.00013904276,0.00013517444,0.00047528028,0.0107509475],"genre_scores_gemma":[0.99449676,0.00012407613,0.0042493264,0.000030669493,0.000011794738,0.000030538275,0.00002326309,0.000013630094,0.0010200548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995839,0.00012287729,0.000020952013,0.00007093208,0.000087204535,0.00011407811],"domain_scores_gemma":[0.9992718,0.00037197617,0.00015698202,0.000021282294,0.000121524565,0.0000564477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090336887,0.00093252223,0.0009591395,0.00038971825,0.00053813716,0.0011548284,0.00071223086,0.000537687,0.0015384298],"category_scores_gemma":[0.0020686758,0.00053938554,0.0004950442,0.00043964028,0.00075044483,0.00057273486,0.0007841834,0.0007536921,0.00014649805],"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":[0.000059621114,0.00002650737,0.00022678894,0.000037915666,0.000013537427,0.00004399008,0.000032925185,0.99103606,0.00065138517,0.0035662018,0.00029708218,0.0040078717],"study_design_scores_gemma":[0.0000073775523,0.000014754013,0.000070496295,0.0000019903218,0.0000035585497,0.000004026117,0.000009713501,0.9985538,0.00009263249,0.001164226,0.000075196935,0.0000021627873],"about_ca_topic_score_codex":0.010408152,"about_ca_topic_score_gemma":0.008068549,"teacher_disagreement_score":0.010408152,"about_ca_system_score_codex":0.0012212651,"about_ca_system_score_gemma":0.0013762055,"threshold_uncertainty_score":0.02069515},"labels":[],"label_agreement":null},{"id":"W2029957471","doi":"10.1109/tsg.2013.2282773","title":"Location-Based Forecasting of Vehicular Charging Load on the Distribution System","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":63,"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":"Flexibility (engineering); Computer science; Fuzzy logic; Probability distribution; Charging station; Electric vehicle; Engineering; Automotive engineering; Power (physics); Artificial intelligence; Mathematics; Statistics","score_opus":0.008645981912088997,"score_gpt":0.17643232842109713,"score_spread":0.16778634650900814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029957471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6873733,0.00018600501,0.3058463,0.0001718855,0.000046269237,0.000040343853,0.0016055607,0.0011436113,0.0035867514],"genre_scores_gemma":[0.9945687,0.000036925136,0.0048354473,0.0000034885861,0.000005973344,0.0000066535927,0.0002648727,0.0000071568306,0.00027096452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988294,0.000024799441,0.000007724296,0.00003184706,0.000036285535,0.000016434127],"domain_scores_gemma":[0.99973553,0.00011247211,0.00003359656,0.000034356894,0.00006692168,0.000017014141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023882343,0.00036346357,0.00034281172,0.0005170772,0.0001818547,0.00040856976,0.0003922545,0.0003130259,0.00068663125],"category_scores_gemma":[0.0010281771,0.00016302249,0.00020123197,0.0004647428,0.000109020555,0.00040674364,0.00021111943,0.00034073068,0.0002677589],"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":[0.000061015377,0.000016939206,0.009364609,0.0000139003905,0.000017734097,0.00006271122,0.000019034691,0.9688176,0.0017324652,0.0006147405,0.00040442147,0.018874826],"study_design_scores_gemma":[0.0000012042713,0.0000046196496,0.0018916853,0.0000013260534,0.0000024430897,0.000006427354,0.000006804571,0.997182,0.00050384406,0.000299777,0.00009733411,0.0000025050745],"about_ca_topic_score_codex":0.008798916,"about_ca_topic_score_gemma":0.0085100755,"teacher_disagreement_score":0.008798916,"about_ca_system_score_codex":0.0004624658,"about_ca_system_score_gemma":0.00026281376,"threshold_uncertainty_score":0.017495394},"labels":[],"label_agreement":null},{"id":"W2029961998","doi":"10.1287/trsc.2014.0570","title":"Guest Editorial: Special Issue on Energy and Transportation","year":2014,"lang":"en","type":"editorial","venue":"Transportation Science","topic":"Electric Vehicles and Infrastructure","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":"Kellogg's (Canada)","funders":"","keywords":"Greenhouse gas; Energy management; Variety (cybernetics); Environmental economics; Transport engineering; Operations research; Business; Engineering; Computer science; Economics; Energy (signal processing)","score_opus":0.003047336757641957,"score_gpt":0.2109321888448099,"score_spread":0.20788485208716795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029961998","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024474126,0.0033644852,0.000058966703,0.01966146,0.9753728,0.000015141331,0.000036984195,0.000030756535,0.0014349797],"genre_scores_gemma":[0.0002648978,0.0021320032,0.000052731462,0.009231623,0.97827977,0.000016483486,0.000029752304,0.000034154935,0.00995862],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946732,0.00080901553,0.00053738646,0.0007996284,0.0026647365,0.0005160391],"domain_scores_gemma":[0.98425746,0.0039855423,0.00172397,0.00043718325,0.006483553,0.0031122447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059123556,0.005161604,0.0055615744,0.006264165,0.0042821956,0.0106437905,0.004069525,0.020461697,0.03297763],"category_scores_gemma":[0.021055954,0.0016759855,0.0032737462,0.00227426,0.0021321208,0.0043228404,0.0027881744,0.01567714,0.016546534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035250014,0.000012389091,0.000026059015,0.00011931454,0.000016792232,0.0001057755,0.0000057262787,0.000019763831,0.000044932985,0.00011457485,0.9964838,0.0030157347],"study_design_scores_gemma":[0.00011584996,0.000039929375,0.0004447158,0.00041478666,0.00009258288,0.00023830748,0.000035356377,0.0002109516,0.00012546407,0.00085318444,0.9974044,0.000024586127],"about_ca_topic_score_codex":0.0019526874,"about_ca_topic_score_gemma":0.00729546,"teacher_disagreement_score":0.03297763,"about_ca_system_score_codex":0.0042404453,"about_ca_system_score_gemma":0.0036963897,"threshold_uncertainty_score":0.110321224},"labels":[],"label_agreement":null},{"id":"W2030294459","doi":"10.1016/j.enconman.2013.09.006","title":"Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics","year":2013,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":250,"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":"Islamic Azad University","keywords":"Renewable energy; Electric vehicle; Smart grid; Plug-in; Grid; Vehicle-to-grid; Renewable resource; Automotive engineering; Engineering; Computer science; Transport engineering; Environmental economics; Electrical engineering; Power (physics)","score_opus":0.0025099664209403054,"score_gpt":0.15633480825141358,"score_spread":0.15382484183047326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030294459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26900744,0.0001608714,0.7131978,0.00019548206,0.00010365501,0.000092338305,0.000078165045,0.0009997324,0.01616455],"genre_scores_gemma":[0.9860665,0.000017037883,0.012302988,0.000015831109,0.000005965508,0.000019194244,0.000025379595,0.00001883585,0.0015282445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999112,0.000023527127,0.0000038085966,0.000015987562,0.000025862175,0.00001954972],"domain_scores_gemma":[0.9999058,0.00002242867,0.0000145234,0.0000083872255,0.000039431285,0.0000093222925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021068248,0.0004138687,0.00041784262,0.0002589014,0.0003009209,0.00058236666,0.00049217505,0.00028733446,0.0017880762],"category_scores_gemma":[0.00023985283,0.00022266759,0.00032499465,0.0002535593,0.00017762466,0.00046154181,0.0002885938,0.00022456492,0.0001979153],"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":[0.00019622015,0.00019151629,0.001782976,0.000049908867,0.00006150733,0.000055649227,0.000025557407,0.9497397,0.010325512,0.003259878,0.0008317509,0.03347986],"study_design_scores_gemma":[0.000008225226,0.00003783304,0.0002753409,0.0000010200757,0.0000105671925,0.0000059524755,0.000007069744,0.99796283,0.0010743003,0.0003791424,0.00023557039,0.0000022304782],"about_ca_topic_score_codex":0.0019412624,"about_ca_topic_score_gemma":0.0050314493,"teacher_disagreement_score":0.0019412624,"about_ca_system_score_codex":0.0003752182,"about_ca_system_score_gemma":0.00043926953,"threshold_uncertainty_score":0.0059817433},"labels":[],"label_agreement":null},{"id":"W2031246268","doi":"10.1016/j.ijhydene.2009.08.089","title":"An energy demand model for a fleet of plug-in fuel cell vehicles and commercial building interfaced with a clean energy hub","year":2009,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity; Automotive engineering; Hydrogen vehicle; Environmental science; Energy (signal processing); Computer science; Energy supply; Fuel cells; Simulation; Hydrogen fuel; Engineering; Electrical engineering","score_opus":0.0055511932777611555,"score_gpt":0.21834399944365585,"score_spread":0.2127928061658947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031246268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74819624,0.00068609667,0.14396176,0.004132341,0.00024711047,0.0002743107,0.014742571,0.00065302436,0.08710654],"genre_scores_gemma":[0.960604,0.0002098712,0.008065098,0.00015916218,0.000034328623,0.00014145205,0.0026604403,0.00009847803,0.02802717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964356,0.00010705151,0.000016223916,0.00007670308,0.00005133567,0.00010506218],"domain_scores_gemma":[0.9990227,0.0005806192,0.000086574364,0.000037568672,0.00015180992,0.00012063321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075917086,0.0010564397,0.0013555243,0.00086530217,0.00091393595,0.00171163,0.002601903,0.0036679946,0.010323961],"category_scores_gemma":[0.0016741675,0.0013470319,0.0016214048,0.0014307547,0.00084056007,0.001988162,0.00089867285,0.0016504594,0.0011206095],"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":[0.000033651067,0.000020430833,0.00028868273,0.000010135519,0.0000074272716,0.00006863456,0.0000090704,0.9965256,0.00010322574,0.0021615254,0.0003804602,0.00039113974],"study_design_scores_gemma":[0.000010913126,0.000008063251,0.00012958959,0.000002192081,0.000003502194,0.000007787264,0.0000133970925,0.99900824,0.000025595455,0.00061584887,0.00017080722,0.000004071533],"about_ca_topic_score_codex":0.11608034,"about_ca_topic_score_gemma":0.06221171,"teacher_disagreement_score":0.11608034,"about_ca_system_score_codex":0.002957149,"about_ca_system_score_gemma":0.0015470284,"threshold_uncertainty_score":0.23080939},"labels":[],"label_agreement":null},{"id":"W2033143135","doi":"10.1109/glocom.2014.7036885","title":"PMQC: A privacy-preserving multi-quality charging scheme in V2G network","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"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 Waterloo","funders":"","keywords":"Computer science; Authentication (law); Overhead (engineering); Quality of service; Scheme (mathematics); Encryption; Computer network; Service (business); Vehicle-to-grid; Computer security; Quality (philosophy); Electric vehicle","score_opus":0.01424564579106366,"score_gpt":0.24282933380471478,"score_spread":0.22858368801365112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033143135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045458745,0.0009452948,0.9430642,0.0008738472,0.0002385264,0.00064451585,0.00032970365,0.0018293529,0.0066157756],"genre_scores_gemma":[0.9474284,0.0003626198,0.048175674,0.00028347148,0.00008487509,0.0001808941,0.0002404612,0.00003720784,0.0032064582],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956903,0.0012548032,0.00026291696,0.00059747504,0.0015360592,0.0006585049],"domain_scores_gemma":[0.9972941,0.0004916473,0.0003218021,0.0009863253,0.00070843066,0.00019758231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024636763,0.0007915839,0.001117863,0.0010212658,0.0017622915,0.0016841039,0.0024945873,0.0013208677,0.0018171273],"category_scores_gemma":[0.004896067,0.00031388865,0.0007827459,0.0022613003,0.0012597597,0.0038387275,0.004195621,0.0012951382,0.00040706948],"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":[0.002367899,0.0004042257,0.0046238485,0.00063004694,0.0002651184,0.0013407777,0.0012107836,0.28911832,0.046388224,0.22732517,0.026881836,0.3994438],"study_design_scores_gemma":[0.00016576785,0.00036103485,0.001058834,0.000036089936,0.00008218164,0.0011383018,0.00018196594,0.9289854,0.011485843,0.043004762,0.013378421,0.00012134498],"about_ca_topic_score_codex":0.0048507378,"about_ca_topic_score_gemma":0.0024737678,"teacher_disagreement_score":0.0048507378,"about_ca_system_score_codex":0.002161168,"about_ca_system_score_gemma":0.0022987055,"threshold_uncertainty_score":0.015680492},"labels":[],"label_agreement":null},{"id":"W2033766914","doi":"10.1109/tsg.2014.2327203","title":"Real-Time Distributed Control for Smart Electric Vehicle Chargers: From a Static to a Dynamic Study","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":90,"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 Waterloo","funders":"","keywords":"Engineering; Electric vehicle; Limit (mathematics); Control theory (sociology); Interior point method; Computer science; Real-time computing; Power (physics); Control (management); Algorithm; Mathematics","score_opus":0.0043414395588078575,"score_gpt":0.20628273394107616,"score_spread":0.2019412943822683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033766914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33067402,0.0032777493,0.6463318,0.0012116564,0.0001667909,0.0000787597,0.000038118804,0.00020017695,0.018020958],"genre_scores_gemma":[0.99584097,0.00031800446,0.0032218795,0.000026820819,0.0000332801,0.000010391445,0.000006512159,0.000009296337,0.00053280237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996038,0.00010810209,0.000015164355,0.00007611737,0.00013214085,0.0000647196],"domain_scores_gemma":[0.99882275,0.0006523603,0.00014758993,0.000083146995,0.00023824364,0.00005586571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009136639,0.00045337388,0.0004621443,0.00033943023,0.00025226272,0.00097409385,0.0005817115,0.00045348975,0.0010339047],"category_scores_gemma":[0.0032199123,0.00017533482,0.00032413442,0.00031726158,0.00079511025,0.0010993688,0.0003747372,0.00063973654,0.00011262156],"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":[0.00017437305,0.00011673006,0.0020026336,0.00007654519,0.000030520954,0.000113257294,0.00007209047,0.94941807,0.0043602847,0.012622933,0.0004435814,0.030569049],"study_design_scores_gemma":[0.000006245198,0.0000736073,0.00029403748,0.000004786291,0.0000051126826,0.00001869359,0.000020512905,0.9973278,0.0005089595,0.0014916841,0.0002441204,0.0000045466204],"about_ca_topic_score_codex":0.0026077195,"about_ca_topic_score_gemma":0.0012442617,"teacher_disagreement_score":0.0026077195,"about_ca_system_score_codex":0.0006532628,"about_ca_system_score_gemma":0.00035995655,"threshold_uncertainty_score":0.0051850677},"labels":[],"label_agreement":null},{"id":"W2034210351","doi":"10.1109/wf-iot.2014.6803185","title":"Controlling electric vehicle charging in the smart grid","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Smart grid; Computer science; Electricity; Scheduling (production processes); Demand response; Energy consumption; Grid; Electric vehicle; Electricity pricing; Power consumption; Power system simulation; Electric power system; Automotive engineering; Power (physics); Electricity market; Mathematical optimization; Engineering; Electrical engineering","score_opus":0.003507690196210332,"score_gpt":0.17313907634717796,"score_spread":0.16963138615096762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034210351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44684312,0.0001164996,0.53344643,0.00026516084,0.00003725299,0.00013960782,0.00017127697,0.00257193,0.01640881],"genre_scores_gemma":[0.9780386,0.00007132046,0.020454677,0.000017124028,0.0000033227545,0.000039312854,0.000032539418,0.000031843898,0.0013112724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987304,0.000058455655,0.000004524762,0.000017425082,0.000029364826,0.000017167813],"domain_scores_gemma":[0.999806,0.00011831076,0.000018398565,0.000030732448,0.0000170728,0.000009539463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032227056,0.00023336335,0.00025399143,0.00015659888,0.00021084184,0.00042745433,0.00037314996,0.00029451313,0.0014029933],"category_scores_gemma":[0.0007707873,0.0001375136,0.00015305865,0.0002198737,0.00037890708,0.00073387945,0.00025738162,0.00024983016,0.00014001713],"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":[0.000068546986,0.000043198375,0.0011858641,0.000017925258,0.0000060193115,0.00002864148,0.000030085796,0.9729086,0.0031749203,0.0079205595,0.00023346051,0.014382084],"study_design_scores_gemma":[0.000017941407,0.000031778814,0.00019307638,0.0000016709558,0.0000029808016,0.000007926548,0.0000137920415,0.993138,0.0020450687,0.0038487448,0.0006953203,0.0000036569081],"about_ca_topic_score_codex":0.0033676848,"about_ca_topic_score_gemma":0.002697923,"teacher_disagreement_score":0.0033676848,"about_ca_system_score_codex":0.0004104608,"about_ca_system_score_gemma":0.0004999085,"threshold_uncertainty_score":0.0066961646},"labels":[],"label_agreement":null},{"id":"W2037645249","doi":"10.1016/j.trd.2011.12.002","title":"Impacts of driving patterns on tank-to-wheel energy use of plug-in hybrid electric vehicles","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Range (aeronautics); Internal combustion engine; Driving range; Energy (signal processing); Spark plug; Energy consumption; Fuel efficiency; Electric vehicle; Engineering; Environmental science; Power (physics); Electrical engineering; Mechanical engineering; Aerospace engineering","score_opus":0.020866788870917852,"score_gpt":0.24078141239559456,"score_spread":0.2199146235246767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037645249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994356,0.000008388632,0.000025414281,0.000011152713,0.000001981745,0.0000021027715,0.00017145848,0.0000022534546,0.00034158138],"genre_scores_gemma":[0.9991855,0.00001503239,0.00001942331,0.0000051396946,0.0000012542622,0.0000024442072,0.00025288056,0.0000029202436,0.00051541603],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997832,0.000041969757,0.00001389014,0.000035844107,0.000029360872,0.00009574403],"domain_scores_gemma":[0.9989139,0.00045857485,0.00014998831,0.00003935653,0.00025213236,0.00018604162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023378848,0.00024185573,0.00021476217,0.00039426505,0.00034292284,0.00080462976,0.00036327014,0.0003989394,0.004483415],"category_scores_gemma":[0.0011684985,0.0002078397,0.0006521555,0.0005262059,0.00018782698,0.0005226324,0.00042629766,0.00028235748,0.0005518947],"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":[0.0047717365,0.0010110546,0.9578885,0.000058909976,0.0004246384,0.0005211468,0.0003957061,0.010415525,0.011565661,0.00023887253,0.0005708159,0.012137434],"study_design_scores_gemma":[0.00001562579,0.00041028587,0.9912208,0.0000063409043,0.00008188202,0.00006186423,0.0010404147,0.0049211113,0.0018208358,0.00012025908,0.00028699593,0.0000135248765],"about_ca_topic_score_codex":0.02691182,"about_ca_topic_score_gemma":0.048486773,"teacher_disagreement_score":0.02691182,"about_ca_system_score_codex":0.0005374895,"about_ca_system_score_gemma":0.00037728078,"threshold_uncertainty_score":0.053510368},"labels":[],"label_agreement":null},{"id":"W2038487391","doi":"10.1145/2425248.2425257","title":"RealTime distributed congestion control for electrical vehicle charging","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"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 Waterloo","funders":"","keywords":"Grid; Leverage (statistics); Computer science; Network congestion; Software deployment; Control (management); Electric vehicle; Charge control; Real-time computing; Simulation; Distributed computing; Automotive engineering; Computer network; Engineering; Artificial intelligence; Battery (electricity)","score_opus":0.028460375138399687,"score_gpt":0.28958918809849316,"score_spread":0.2611288129600935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038487391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052929804,0.0042982087,0.9248431,0.00090279407,0.00040703063,0.00021429255,0.00009261686,0.0023730907,0.013939032],"genre_scores_gemma":[0.97223884,0.0006359691,0.024740525,0.000058722664,0.00010704329,0.00006570702,0.00004157632,0.000033785516,0.0020778102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902177,0.00026665386,0.00005282579,0.00015792418,0.0003618446,0.00013898058],"domain_scores_gemma":[0.99873775,0.0005689259,0.00016235183,0.00016230386,0.00029452506,0.00007410678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017199846,0.0005626962,0.00059721665,0.0005663014,0.0004185959,0.0011764964,0.0013026642,0.00040804662,0.0021742212],"category_scores_gemma":[0.004210281,0.00018193692,0.00024090617,0.0005927808,0.00051796983,0.0013365141,0.0008106993,0.00088712975,0.00023984893],"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":[0.0004804093,0.0001938491,0.0007718948,0.00020196005,0.000053728094,0.00006599775,0.0001004426,0.6797442,0.0074995444,0.028497828,0.004320815,0.27806932],"study_design_scores_gemma":[0.00008158802,0.0001653692,0.00040149095,0.000010184929,0.000018889421,0.00003989946,0.000030047977,0.9824095,0.0020372854,0.010752132,0.004037462,0.000016211954],"about_ca_topic_score_codex":0.004544815,"about_ca_topic_score_gemma":0.0027811246,"teacher_disagreement_score":0.004544815,"about_ca_system_score_codex":0.0011128454,"about_ca_system_score_gemma":0.0008498508,"threshold_uncertainty_score":0.009096265},"labels":[],"label_agreement":null},{"id":"W2039188563","doi":"10.1109/tpwrs.2012.2212467","title":"PEVs modeling and impacts mitigation in distribution networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":144,"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 Waterloo","funders":"","keywords":"Distributed generation; Integer programming; Computer science; Plug-in; Genetic algorithm; Mathematical optimization; Automotive engineering; Engineering; Renewable energy; Electrical engineering","score_opus":0.0053682669328080175,"score_gpt":0.19307896555684279,"score_spread":0.18771069862403478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039188563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061204944,0.00034224475,0.9236126,0.00027401038,0.00004805981,0.000045114957,0.000256323,0.00032949002,0.013887211],"genre_scores_gemma":[0.9646143,0.000539709,0.02183562,0.000052758685,0.000030093237,0.000093184004,0.00019489959,0.00006994578,0.012569379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974054,0.00008107069,0.000007794094,0.000056522997,0.00007179027,0.000042335625],"domain_scores_gemma":[0.9998473,0.00007209758,0.000026477423,0.000010555389,0.000034602595,0.000008995191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027552803,0.00075502857,0.00044371455,0.00048920105,0.000294496,0.0008526426,0.0012873588,0.0009784717,0.0015016233],"category_scores_gemma":[0.0008241118,0.00039881465,0.00053250353,0.0006328642,0.00043492723,0.0012660958,0.0005997942,0.00061678607,0.00024143964],"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":[0.0000036204015,0.0000025514498,0.000099099154,0.0000027783742,0.0000019882787,0.000010600751,0.0000036052827,0.997658,0.00011573706,0.0011260575,0.000040466242,0.0009354189],"study_design_scores_gemma":[0.0000011568114,0.0000033752945,0.000053434516,0.0000012211967,0.000001530347,0.0000036700792,0.000004086557,0.99857974,0.00010204659,0.001004728,0.00024398851,0.000001078421],"about_ca_topic_score_codex":0.020861194,"about_ca_topic_score_gemma":0.0115237115,"teacher_disagreement_score":0.020861194,"about_ca_system_score_codex":0.0011227321,"about_ca_system_score_gemma":0.0007302542,"threshold_uncertainty_score":0.041479588},"labels":[],"label_agreement":null},{"id":"W2039635725","doi":"10.1109/vppc.2012.6422681","title":"Coordinated charging control of plug-in electric vehicles at a distribution transformer level using the vTOU-DP approach","year":2012,"lang":"en","type":"article","venue":"","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":"University of Toronto","funders":"","keywords":"Distribution transformer; Transformer; Dynamic programming; Computer science; Grid; Automotive engineering; Load profile; Energy efficient transformer; Electric vehicle; Electrical engineering; Real-time computing; Voltage; Engineering; Algorithm; Power (physics); Mathematics; Electricity","score_opus":0.01413494613507415,"score_gpt":0.20594531273250538,"score_spread":0.19181036659743123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039635725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03868089,0.00012070232,0.9560397,0.000102941915,0.00004811094,0.000034309014,0.000026023054,0.00023799694,0.0047092796],"genre_scores_gemma":[0.98758626,0.000055416684,0.011214203,0.000024841966,0.000010602787,0.000029568671,0.000017033999,0.000013454725,0.0010486334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996306,0.000082961145,0.00001607622,0.000092127775,0.00010522174,0.000072955765],"domain_scores_gemma":[0.9997683,0.000075462434,0.000052509822,0.0000133423355,0.00007065288,0.000019607382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039005835,0.0005592934,0.00049964886,0.00021144982,0.00026190476,0.0010228709,0.00076630776,0.00032243558,0.0010285543],"category_scores_gemma":[0.0005836094,0.00025057636,0.00036346255,0.00028522438,0.0004290279,0.0004729455,0.0005607433,0.00046247,0.00011210393],"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":[0.0001241052,0.000051186275,0.0004266082,0.000057174122,0.00003362786,0.00008195869,0.00004974257,0.95092005,0.009164419,0.0052435114,0.000640416,0.033207066],"study_design_scores_gemma":[0.0000064012243,0.00004267489,0.00007958241,0.0000012197439,0.000005157104,0.000007517911,0.000008835972,0.9981072,0.0008659411,0.0005656517,0.0003072718,0.0000024358762],"about_ca_topic_score_codex":0.006149864,"about_ca_topic_score_gemma":0.004501257,"teacher_disagreement_score":0.006149864,"about_ca_system_score_codex":0.0006129278,"about_ca_system_score_gemma":0.0006341191,"threshold_uncertainty_score":0.012228131},"labels":[],"label_agreement":null},{"id":"W2040643126","doi":"10.1021/es203981a","title":"Implications of Driving Patterns on Well-to-Wheel Performance of Plug-in Hybrid Electric Vehicles","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Electricity; Environmental science; Automotive engineering; Fossil fuel; Internal combustion engine; Mains electricity; Electricity generation; Coal; Gasoline; Electric vehicle; Environmental engineering; Engineering; Waste management; Power (physics); Ecology; Electrical engineering","score_opus":0.0027660571347101824,"score_gpt":0.18282726513375275,"score_spread":0.18006120799904257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040643126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882513,0.00002770126,0.00018673697,0.000014817211,0.000002197225,0.000004666379,0.00009329172,0.0000027762844,0.00084262836],"genre_scores_gemma":[0.9995214,0.00002794702,0.0000665216,0.0000054054935,0.0000017228244,0.0000027760134,0.00013616243,0.0000027954682,0.00023534302],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997701,0.00007178733,0.000015644848,0.00003848084,0.0000532652,0.000050768173],"domain_scores_gemma":[0.99906224,0.00033547578,0.00025542348,0.000053077092,0.00019824546,0.00009543386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027579558,0.00023919831,0.00016329739,0.0002987216,0.00017430734,0.0005495368,0.00019562918,0.00017494721,0.0012992141],"category_scores_gemma":[0.0011092055,0.000100321195,0.0002864548,0.0003468772,0.00012329579,0.00035283228,0.00023417042,0.00014909444,0.00030678516],"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":[0.00031984472,0.0003245007,0.97094417,0.00003411446,0.00020105862,0.00016637947,0.00017800528,0.004459335,0.0054196212,0.00014953953,0.0001336838,0.017669775],"study_design_scores_gemma":[0.0000024629062,0.00021855276,0.9947429,0.0000039146566,0.000033465047,0.000049751387,0.0003104475,0.0028501935,0.0013114604,0.000118785305,0.00035109773,0.000007013759],"about_ca_topic_score_codex":0.004507477,"about_ca_topic_score_gemma":0.008736403,"teacher_disagreement_score":0.004507477,"about_ca_system_score_codex":0.0001922176,"about_ca_system_score_gemma":0.000174847,"threshold_uncertainty_score":0.008962512},"labels":[],"label_agreement":null},{"id":"W2041665619","doi":"10.1145/2567529.2567552","title":"Battery provisioning and scheduling for a hybrid battery-diesel generator system","year":2014,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Diesel generator; Automotive engineering; Diesel fuel; Battery (electricity); Sizing; Provisioning; Job shop scheduling; Mathematical optimization; Embedded system; Engineering; Operating system; Power (physics); Mathematics","score_opus":0.02158298360589116,"score_gpt":0.25888241420464364,"score_spread":0.23729943059875247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041665619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6527427,0.0007526302,0.32679543,0.0008291155,0.00010462906,0.00026787017,0.00051782746,0.0007316637,0.017258115],"genre_scores_gemma":[0.9844864,0.00011345846,0.013631743,0.000026338188,0.000012026562,0.00004073744,0.0000657754,0.000017829674,0.0016057178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974936,0.000071458526,0.000012486196,0.000045128283,0.000046155663,0.00007540819],"domain_scores_gemma":[0.9995111,0.00028134018,0.000054838765,0.000026671967,0.00006735564,0.00005876617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236327,0.00054255564,0.0007880158,0.00032197728,0.0007018175,0.0011153368,0.0008982375,0.0006545301,0.0042118765],"category_scores_gemma":[0.0011120617,0.00027112695,0.00029475134,0.00059722265,0.00039791196,0.00073925796,0.00060592033,0.00048498355,0.0002623016],"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":[0.0001562583,0.0000659161,0.0006590137,0.000059214584,0.000011520243,0.00014383334,0.000037614394,0.9807817,0.0021620449,0.0032175614,0.00067888916,0.012026348],"study_design_scores_gemma":[0.000017233544,0.00004099637,0.00016450237,0.0000019078095,0.0000045020997,0.000021700598,0.000027190628,0.99825627,0.00028626207,0.0009069686,0.0002689242,0.000003549478],"about_ca_topic_score_codex":0.008953673,"about_ca_topic_score_gemma":0.010394698,"teacher_disagreement_score":0.008953673,"about_ca_system_score_codex":0.0013693542,"about_ca_system_score_gemma":0.0013064059,"threshold_uncertainty_score":0.017803073},"labels":[],"label_agreement":null},{"id":"W2043010339","doi":"10.1145/2656346.2656348","title":"Effective public key infrastructure for vehicle-to-grid network","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 Ottawa","funders":"","keywords":"Public key infrastructure; Certificate; Public-key cryptography; Certificate authority; Computer science; Vehicle-to-grid; Key (lock); Provisioning; Public key certificate; Smart grid; Computer security; Implicit certificate; Grid; Computer network; Electric vehicle; Engineering; Encryption; Power (physics); Electrical engineering","score_opus":0.003083436444925397,"score_gpt":0.18425913606576655,"score_spread":0.18117569962084115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043010339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024081593,0.0016247636,0.9473748,0.0012996553,0.00033489475,0.0003494782,0.0001857585,0.002386662,0.022362333],"genre_scores_gemma":[0.8871556,0.0013784402,0.101574786,0.00020629184,0.00014898999,0.00025523687,0.00048276482,0.00007455857,0.008723301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99863964,0.00035776023,0.000092873364,0.00021861459,0.0004270521,0.0002640692],"domain_scores_gemma":[0.99907887,0.00015556569,0.00013389948,0.00029576357,0.0002823423,0.000053548476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009080254,0.00043073198,0.0004609507,0.00075874233,0.0010333675,0.0015757986,0.0011575327,0.0008362214,0.005357733],"category_scores_gemma":[0.0022004303,0.0002447363,0.00032847433,0.00086309656,0.00061663444,0.005526717,0.0019722015,0.0009362717,0.0018498263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065027486,0.00026811092,0.0014854424,0.00073123735,0.00006130802,0.00071393524,0.00038710833,0.08123448,0.049717344,0.44935733,0.028857,0.38653648],"study_design_scores_gemma":[0.00021962065,0.0005494681,0.0009859771,0.00017113095,0.00010804753,0.0014781599,0.0004473046,0.6064127,0.059110075,0.15257876,0.1778372,0.00010146845],"about_ca_topic_score_codex":0.00072763255,"about_ca_topic_score_gemma":0.0006929315,"teacher_disagreement_score":0.005357733,"about_ca_system_score_codex":0.0014368773,"about_ca_system_score_gemma":0.0015768574,"threshold_uncertainty_score":0.017923415},"labels":[],"label_agreement":null},{"id":"W2043427189","doi":"10.1109/smartgridcomm.2011.6102330","title":"Real-time vehicle-to-grid control algorithm under price uncertainty","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Electricity; Markov decision process; Electricity pricing; Grid; Markov chain; Vehicle-to-grid; Profit (economics); Electricity market; Automatic frequency control; Electric vehicle; Markov process; Mathematical optimization; Power (physics); Engineering; Economics; Microeconomics; Electrical engineering; Telecommunications","score_opus":0.006290193405718612,"score_gpt":0.1867766601318515,"score_spread":0.1804864667261329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043427189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08774775,0.00022926896,0.9062582,0.0005464846,0.000072687355,0.00012057901,0.000056449826,0.0009765686,0.003991921],"genre_scores_gemma":[0.9629483,0.000056369932,0.035572745,0.00007536471,0.00002237123,0.00008320963,0.000040385476,0.000020699006,0.001180535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945706,0.00012358486,0.00003219093,0.00015206593,0.000118249845,0.00011694489],"domain_scores_gemma":[0.9987276,0.000685127,0.00019796088,0.00006979626,0.00024196245,0.00007746989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012425132,0.00058841245,0.0011283272,0.0003194855,0.000518771,0.0009950427,0.0014114112,0.0011492162,0.0017823848],"category_scores_gemma":[0.002637799,0.00026614653,0.0003070251,0.0004160889,0.00078317075,0.0008683822,0.00071490434,0.0009804355,0.00021384473],"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":[0.00011237494,0.000059409358,0.0005206641,0.0000214216,0.000019935542,0.00006589715,0.000041763604,0.9637595,0.0005463709,0.0037431922,0.0005059219,0.030603483],"study_design_scores_gemma":[0.000017578048,0.000012291506,0.00003692468,7.7980945e-7,0.00000186477,0.0000063846846,0.0000024136843,0.9991235,0.00014091295,0.0005959899,0.000059656453,0.0000016912987],"about_ca_topic_score_codex":0.010973023,"about_ca_topic_score_gemma":0.0055102143,"teacher_disagreement_score":0.010973023,"about_ca_system_score_codex":0.0011952468,"about_ca_system_score_gemma":0.0017344465,"threshold_uncertainty_score":0.02181834},"labels":[],"label_agreement":null},{"id":"W2046142183","doi":"10.4271/2014-01-1823","title":"Smart Charging Standards for Plug-In Electric Vehicles","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","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":"Chrysler (Canada)","funders":"","keywords":"Plug-in; Automotive engineering; Spark plug; Computer science; Plug and play; Electrical engineering; Environmental science; Engineering; Aerospace engineering; Operating system","score_opus":0.005433499653218141,"score_gpt":0.2195054281587978,"score_spread":0.21407192850557966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046142183","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077910936,0.008564668,0.3812338,0.0070041814,0.009888732,0.0015872153,0.0042686462,0.009095243,0.5705664],"genre_scores_gemma":[0.1629981,0.02576091,0.29179022,0.009258224,0.0030152586,0.004373056,0.032317534,0.0037521115,0.46673462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950045,0.00068505586,0.0007588723,0.0003239609,0.002874768,0.0003529053],"domain_scores_gemma":[0.99573356,0.0005281655,0.0001757273,0.00082823023,0.0025942628,0.00014008547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036442343,0.000864548,0.0006164502,0.002254539,0.0012513293,0.004033355,0.002531021,0.0035352863,0.012891011],"category_scores_gemma":[0.0065608583,0.00064352393,0.00076264044,0.0024704144,0.00090978644,0.0037333285,0.0023069892,0.003550879,0.016714834],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013004811,0.00023600561,0.00067766214,0.0012928273,0.000036635505,0.00027893754,0.0008476462,0.009732986,0.011099497,0.41886574,0.28825265,0.26854935],"study_design_scores_gemma":[0.000019867657,0.00005722281,0.0004820432,0.0004298859,0.000014804136,0.00018171122,0.00013731045,0.0049050683,0.0035502035,0.025332479,0.96485317,0.00003612572],"about_ca_topic_score_codex":0.0051925126,"about_ca_topic_score_gemma":0.0049953284,"teacher_disagreement_score":0.012891011,"about_ca_system_score_codex":0.002333306,"about_ca_system_score_gemma":0.0038557025,"threshold_uncertainty_score":0.043124795},"labels":[],"label_agreement":null},{"id":"W2047067027","doi":"10.2172/795639","title":"Field Operations Program - U.S. Postal Service - Fountain Valley Electric Carrier Route Vehicle Testing","year":2002,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Engineering; Service (business); Transport engineering; Telecommunications; Acceptance testing; Fountain; Operations management; Business; Geography; Archaeology; Marketing","score_opus":0.01971206052038317,"score_gpt":0.24873434248106124,"score_spread":0.2290222819606781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047067027","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29025137,0.0009318323,0.01336652,0.00470656,0.00086726865,0.008794929,0.039140362,0.004427339,0.63751376],"genre_scores_gemma":[0.5093859,0.00075902714,0.024136519,0.003319961,0.00022338885,0.0029258542,0.049045503,0.00045006393,0.4097538],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9978271,0.00028394067,0.00006179327,0.00027861854,0.0013022042,0.00024640324],"domain_scores_gemma":[0.9944786,0.00037981014,0.0002521939,0.00033475034,0.004198484,0.00035621418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001870359,0.00068852014,0.00022567138,0.0012922247,0.001836345,0.0010649175,0.001234775,0.00072171853,0.048027642],"category_scores_gemma":[0.002598528,0.00035788247,0.00019186438,0.0007482148,0.00046504123,0.00061125116,0.0005124591,0.00064869184,0.010910985],"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":[0.0010050548,0.004978237,0.059346993,0.0003473532,0.0000525376,0.00046778697,0.0008490423,0.002050123,0.01904221,0.0019616324,0.6264705,0.28342852],"study_design_scores_gemma":[0.0005436606,0.0058017373,0.21661839,0.00023061007,0.00006407903,0.00062584464,0.0022567168,0.0045245118,0.018542971,0.0008098483,0.74989474,0.000086955035],"about_ca_topic_score_codex":0.12590826,"about_ca_topic_score_gemma":0.1759187,"teacher_disagreement_score":0.12590826,"about_ca_system_score_codex":0.0025931047,"about_ca_system_score_gemma":0.008167953,"threshold_uncertainty_score":0.25035077},"labels":[],"label_agreement":null},{"id":"W2047869659","doi":"10.1109/smartgridcomm.2011.6102333","title":"An approximate dynamic programming approach for coordinated charging control at vehicle-to-grid aggregator","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"News aggregator; Vehicle-to-grid; Computer science; Grid; Dynamic programming; Smart grid; Electric power system; Automotive engineering; Electric vehicle; Power (physics); Engineering; Electrical engineering; Mathematics; Algorithm","score_opus":0.007993296833209542,"score_gpt":0.2025663411474428,"score_spread":0.19457304431423325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047869659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008898468,0.00020861205,0.98699665,0.00023446564,0.00004055503,0.000041621865,0.00006630072,0.00015180786,0.003361507],"genre_scores_gemma":[0.8979067,0.00037039723,0.09506207,0.00020173249,0.00007055341,0.00037791487,0.00017217288,0.00008880348,0.005749655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992111,0.00029505495,0.000032353953,0.00014674022,0.0001762129,0.00013850605],"domain_scores_gemma":[0.99850684,0.001010162,0.00015600937,0.000053969106,0.0002115708,0.00006138142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016042143,0.0012821838,0.0019748877,0.0005243929,0.00056669256,0.0016376637,0.0012340425,0.0012340113,0.0029258875],"category_scores_gemma":[0.003377871,0.0008036669,0.00088939286,0.00084435387,0.0009564816,0.0010114821,0.001021314,0.0015894595,0.00028629016],"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":[0.000015855396,0.000008023269,0.00006365238,0.000014619761,0.000011799202,0.000017956563,0.000010962641,0.99426997,0.00008667867,0.0029675304,0.0001526017,0.0023803085],"study_design_scores_gemma":[0.0000032984085,0.000007630437,0.00001554977,0.0000014287388,0.0000025286204,0.0000023072062,0.000003562524,0.99849236,0.000030176836,0.0013390188,0.000100554345,0.0000015199045],"about_ca_topic_score_codex":0.017148517,"about_ca_topic_score_gemma":0.009311943,"teacher_disagreement_score":0.017148517,"about_ca_system_score_codex":0.0014724188,"about_ca_system_score_gemma":0.0018559528,"threshold_uncertainty_score":0.034097433},"labels":[],"label_agreement":null},{"id":"W2050710379","doi":"10.1109/tsg.2013.2253337","title":"Integrated V2G, G2V, and Renewable Energy Sources Coordination Over a Converged Fiber-Wireless Broadband Access Network","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University","funders":"","keywords":"Renewable energy; Computer science; Broadband; Variable renewable energy; Computer network; Benchmark (surveying); Grid; Telecommunications; Electric power system; Power (physics); Engineering; Electrical engineering","score_opus":0.005908380888439898,"score_gpt":0.19034291969237918,"score_spread":0.18443453880393929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050710379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2309509,0.00012255531,0.751492,0.00020731572,0.000073940304,0.00017812995,0.000104479186,0.0014528356,0.015417834],"genre_scores_gemma":[0.9674749,0.000031792097,0.030844139,0.000025937536,0.0000065540785,0.000035034464,0.00005329239,0.000015887554,0.0015124789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997675,0.000055576693,0.000006609681,0.000054719756,0.000049830312,0.00006581925],"domain_scores_gemma":[0.99984944,0.000035019835,0.000020964875,0.00002479783,0.00004894524,0.000020721951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477681,0.00048769836,0.0003464968,0.00029244152,0.00038044373,0.0006199196,0.000757337,0.00037582588,0.0012473529],"category_scores_gemma":[0.00047344976,0.000121990066,0.00021206606,0.00030345673,0.00026230235,0.0005761464,0.00058459863,0.0003790173,0.00017894144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011725729,0.000077324046,0.0014255664,0.0000159213,0.000026625834,0.00009301487,0.000031225085,0.94086367,0.00409994,0.0046351394,0.0007549607,0.04785932],"study_design_scores_gemma":[0.000013449347,0.0000795868,0.0003633508,0.0000021057244,0.000007509958,0.000035449284,0.000021689086,0.99536777,0.0020882702,0.0011053587,0.0009106808,0.000004824871],"about_ca_topic_score_codex":0.00961252,"about_ca_topic_score_gemma":0.012081437,"teacher_disagreement_score":0.00961252,"about_ca_system_score_codex":0.000745724,"about_ca_system_score_gemma":0.00091524527,"threshold_uncertainty_score":0.019113183},"labels":[],"label_agreement":null},{"id":"W2051085920","doi":"10.1109/tsg.2014.2373401","title":"Challenges in Future Competition of Electric Vehicle Charging Management and Solutions","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Inefficiency; Competition (biology); Schedule; Nash equilibrium; Game theory; Cheating; Load management; Electric vehicle; Operations research; Computer science; Power (physics); Microeconomics; Engineering; Economics; Electrical engineering","score_opus":0.011354927305681462,"score_gpt":0.19074710023667904,"score_spread":0.17939217293099757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051085920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08189938,0.014593682,0.48655832,0.17694703,0.001880899,0.00028661513,0.00016621749,0.00032971113,0.23733822],"genre_scores_gemma":[0.8598798,0.0053869607,0.0886239,0.010412729,0.0012142708,0.0003508777,0.00015242552,0.00010199838,0.033876993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951185,0.0017819519,0.00016839715,0.00083461474,0.0014025838,0.00069392356],"domain_scores_gemma":[0.9948938,0.0023436358,0.00046256502,0.00036023057,0.0012714645,0.0006682544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077503026,0.00040236994,0.000805816,0.00043251974,0.002119591,0.0053072968,0.0031463217,0.0058050114,0.006535685],"category_scores_gemma":[0.0076107155,0.0004216531,0.00069820345,0.000677527,0.003230615,0.0074127335,0.0029927278,0.004766485,0.00082382874],"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":[0.000033560198,0.0000894273,0.00033623163,0.00010816115,0.000018456763,0.000181396,0.00028053852,0.01517594,0.00072951044,0.943331,0.008418387,0.03129742],"study_design_scores_gemma":[0.000032263484,0.00008459731,0.00047019063,0.00011987545,0.000009781173,0.0003742846,0.0012048163,0.06195919,0.0005170504,0.86063224,0.07453051,0.00006523422],"about_ca_topic_score_codex":0.0019058662,"about_ca_topic_score_gemma":0.0020729771,"teacher_disagreement_score":0.0077503026,"about_ca_system_score_codex":0.0028606472,"about_ca_system_score_gemma":0.004549138,"threshold_uncertainty_score":0.040988028},"labels":[],"label_agreement":null},{"id":"W2051431619","doi":"10.1109/tsg.2011.2173507","title":"Optimal Scheduling for Charging and Discharging of Electric Vehicles","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":781,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scheduling (production processes); Electric vehicle; Automotive engineering; Computer science; Electrical engineering; Engineering; Power (physics); Physics; Operations management","score_opus":0.009175182915322747,"score_gpt":0.21444750090385445,"score_spread":0.2052723179885317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051431619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04599715,0.00086525915,0.9436811,0.00031256545,0.00016075962,0.0000926961,0.00010054728,0.00039824567,0.008391632],"genre_scores_gemma":[0.91696364,0.00048182113,0.07901486,0.000075312564,0.000051072097,0.00007629027,0.00012603716,0.00009842143,0.003112664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993661,0.00019992837,0.000032836375,0.00013131733,0.00015072299,0.00011903139],"domain_scores_gemma":[0.9995246,0.00020807039,0.00007709354,0.000038089274,0.00010591428,0.00004625491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000714155,0.00076461467,0.0009937373,0.0003620809,0.00067067257,0.0007707921,0.0006593,0.0004359872,0.0020571945],"category_scores_gemma":[0.0015553004,0.00035708278,0.0004332557,0.00069339067,0.0005882961,0.00077279296,0.0006253735,0.00068206823,0.00024490766],"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":[0.000042294625,0.000021361837,0.00018323635,0.000038487553,0.000009699,0.00002269484,0.000025754052,0.9758814,0.0011404784,0.0052599353,0.0010316845,0.016343044],"study_design_scores_gemma":[0.000008371846,0.0000178047,0.00006738592,0.000001855172,0.0000034896048,0.0000054452325,0.000013674165,0.99534506,0.0003374911,0.0036725388,0.0005232541,0.0000036238218],"about_ca_topic_score_codex":0.009472756,"about_ca_topic_score_gemma":0.0075178603,"teacher_disagreement_score":0.009472756,"about_ca_system_score_codex":0.0012776477,"about_ca_system_score_gemma":0.001854261,"threshold_uncertainty_score":0.018835247},"labels":[],"label_agreement":null},{"id":"W2052110436","doi":"10.1109/pesgm.2012.6345131","title":"Modeling and impacts of smart charging PEVs in residential distribution systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"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 Waterloo","funders":"University of Waterloo","keywords":"Voltage; Automotive engineering; Total energy; Plug-in; Capacitor; Load profile; Electric vehicle; Computer science; Frame (networking); Engineering; Electrical engineering; Electricity; Telecommunications; Power (physics)","score_opus":0.005911087706404246,"score_gpt":0.19909928010405864,"score_spread":0.1931881923976544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052110436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.307658,0.00047708757,0.6448083,0.0008380832,0.00007050719,0.00010418895,0.0004084745,0.00055463065,0.045080848],"genre_scores_gemma":[0.99018925,0.00020285472,0.004619491,0.000028716011,0.00001609956,0.000028724338,0.000056632904,0.000039042454,0.004819247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996705,0.00014148683,0.000010711726,0.000040649775,0.00008190521,0.000054727443],"domain_scores_gemma":[0.99979156,0.00009733972,0.00003221829,0.000017696037,0.000046129888,0.0000151327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036359666,0.0005262393,0.0005004539,0.00034324158,0.0005024308,0.0010148175,0.000922912,0.00097627967,0.0022247022],"category_scores_gemma":[0.00088292477,0.00037519223,0.00046464027,0.0004629728,0.00057742815,0.0016188957,0.000702637,0.00067920564,0.0002780649],"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":[0.000013825394,0.000009677524,0.00027338837,0.000007742579,0.000004189383,0.000048751182,0.00002441527,0.9934957,0.00036085545,0.004195473,0.00013376889,0.0014321611],"study_design_scores_gemma":[0.0000027317851,0.000008767294,0.00010036891,0.0000013986272,0.00000228815,0.000009773481,0.000020033389,0.9980691,0.00010895731,0.001392016,0.00028256146,0.0000020886082],"about_ca_topic_score_codex":0.018536156,"about_ca_topic_score_gemma":0.010873827,"teacher_disagreement_score":0.018536156,"about_ca_system_score_codex":0.0013964289,"about_ca_system_score_gemma":0.0007908692,"threshold_uncertainty_score":0.036856532},"labels":[],"label_agreement":null},{"id":"W2052791071","doi":"10.1109/epec.2010.5697251","title":"Vehicle to grid in Nova Scotia","year":2010,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Greenhouse gas; Per capita; Renewable energy; Electricity generation; Fossil fuel; Electricity; Environmental science; Vehicle-to-grid; Agricultural economics; Natural resource economics; Environmental protection; Waste management; Engineering; Geography; Economics; Electric vehicle; Power (physics)","score_opus":0.00371287165618308,"score_gpt":0.19545407623528097,"score_spread":0.19174120457909788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052791071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8245777,0.0016409095,0.0003984709,0.0023299193,0.00012070719,0.00008538069,0.0032945469,0.00006390999,0.1674884],"genre_scores_gemma":[0.9238958,0.0010749155,0.00027473192,0.00036902467,0.000012621936,0.000013138287,0.0009325064,0.000012859116,0.07341444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998281,0.00001171432,0.00000445006,0.00001638225,0.000036395068,0.00010299448],"domain_scores_gemma":[0.9997534,0.000016200032,0.000028576944,0.0000066334833,0.0001188632,0.000076367774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000812154,0.00011872839,0.00009368039,0.00041845866,0.0011881918,0.0010439114,0.000295798,0.0002487404,0.009831823],"category_scores_gemma":[0.00038647803,0.00008313582,0.00016055608,0.00078548404,0.00024891383,0.00019443773,0.00047471235,0.00024431804,0.00079164584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004804436,0.00026716548,0.7361901,0.0004241117,0.000091825095,0.018873392,0.0032647504,0.013432874,0.005743616,0.025406478,0.07325377,0.12257148],"study_design_scores_gemma":[0.00005393976,0.000086726744,0.80871004,0.00016698056,0.000033686203,0.0016973758,0.011289057,0.005997615,0.0010374236,0.0009995814,0.1698945,0.00003303557],"about_ca_topic_score_codex":0.9721103,"about_ca_topic_score_gemma":0.986753,"teacher_disagreement_score":0.027889729,"about_ca_system_score_codex":0.008529765,"about_ca_system_score_gemma":0.00978304,"threshold_uncertainty_score":0.0618881},"labels":[],"label_agreement":null},{"id":"W2052922148","doi":"10.1109/pesgm.2014.6939530","title":"Plug-in electric vehicle charging demand estimation based on queueing network analysis","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":58,"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 Waterloo","funders":"","keywords":"Queueing theory; Electric vehicle; Computer science; Charging station; Plug-in; Server; Service (business); Automotive engineering; Real-time computing; Simulation; Operations research; Power (physics); Computer network; Engineering","score_opus":0.002548991038418121,"score_gpt":0.18190101426644434,"score_spread":0.1793520232280262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052922148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11546284,0.0003234807,0.8810028,0.00025624936,0.00003823729,0.00008373085,0.00022124145,0.00040950524,0.0022019849],"genre_scores_gemma":[0.96774966,0.00027853184,0.030505177,0.000029529669,0.000037681522,0.000049211445,0.00025886268,0.000025328547,0.0010659406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999286,0.00027823428,0.00003500431,0.00014859668,0.00014832694,0.00010385203],"domain_scores_gemma":[0.99683976,0.0023017921,0.00020833181,0.000080130245,0.0005050487,0.00006490419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013773344,0.00080096844,0.00076562824,0.00078974175,0.00048284675,0.0010497046,0.0010702554,0.00052588875,0.0010497076],"category_scores_gemma":[0.0053486847,0.00055971544,0.0004197221,0.00074102485,0.0004691404,0.0012017632,0.00047132597,0.00071193284,0.00017167955],"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":[0.000035232988,0.000027930659,0.0012312002,0.000016921167,0.000011458259,0.000029477678,0.000017726094,0.98958606,0.0005465416,0.0026578992,0.0002543815,0.005585287],"study_design_scores_gemma":[5.6311046e-7,0.0000022715742,0.000053396558,4.0924084e-7,9.97793e-7,0.0000015771826,0.0000019937438,0.99959534,0.000055489174,0.000270626,0.000016545853,8.9342274e-7],"about_ca_topic_score_codex":0.041226514,"about_ca_topic_score_gemma":0.020663207,"teacher_disagreement_score":0.041226514,"about_ca_system_score_codex":0.0024256664,"about_ca_system_score_gemma":0.0017658443,"threshold_uncertainty_score":0.081973076},"labels":[],"label_agreement":null},{"id":"W2053854435","doi":"10.1109/pesgm.2014.6939045","title":"A comprehensive study of the impacts of PHEVs on residential distribution networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distribution (mathematics); Computer science; Environmental science; Mathematics","score_opus":0.004301306253103557,"score_gpt":0.1991580841142612,"score_spread":0.19485677786115763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053854435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5719103,0.003094713,0.35129043,0.0006248929,0.00011423002,0.00026237225,0.0020163173,0.0009169161,0.06976979],"genre_scores_gemma":[0.9860417,0.0012262202,0.0070877043,0.000031772623,0.000029915898,0.000041378145,0.00049431616,0.00004152445,0.005005436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99967635,0.00010799699,0.0000073591214,0.000034748657,0.00014306036,0.000030515452],"domain_scores_gemma":[0.9991578,0.0005332126,0.00004994976,0.00007317205,0.00015987626,0.000026051759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047456918,0.0004370754,0.00036353897,0.00040291096,0.00032666553,0.00041785455,0.0003676204,0.0003201627,0.0031024269],"category_scores_gemma":[0.001381276,0.00010135865,0.00026718943,0.00094124733,0.00020048162,0.0005924759,0.00023397827,0.00023879998,0.0002831006],"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":[0.00003546409,0.000040088395,0.0032046621,0.00009351977,0.00003599341,0.0001361695,0.000015751613,0.9322104,0.002367707,0.0048986347,0.0019523454,0.055009298],"study_design_scores_gemma":[0.000011007796,0.0005179477,0.012767929,0.00004632661,0.00005770721,0.0002763658,0.00013186505,0.9507836,0.009715765,0.009692166,0.015974257,0.00002503205],"about_ca_topic_score_codex":0.0051134652,"about_ca_topic_score_gemma":0.0059959376,"teacher_disagreement_score":0.0051134652,"about_ca_system_score_codex":0.0006381615,"about_ca_system_score_gemma":0.00043562558,"threshold_uncertainty_score":0.010378659},"labels":[],"label_agreement":null},{"id":"W2054259403","doi":"10.1021/es4006459","title":"Ethanol or Bioelectricity? Life Cycle Assessment of Lignocellulosic Bioenergy Use in Light-Duty Vehicles","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence; U.S. Environmental Protection Agency","keywords":"Life-cycle assessment; Biofuel; Electrification; Bioenergy; Gasoline; Environmental science; Greenhouse gas; Engineering; Waste management; Energy source; Electricity; Fossil fuel; Production (economics); Ecology","score_opus":0.005236270658709895,"score_gpt":0.19959264716888472,"score_spread":0.19435637651017482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054259403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98597115,0.0010544546,0.006997922,0.000108182336,0.000010194401,0.000045943125,0.0013354768,0.000021744465,0.0044548297],"genre_scores_gemma":[0.99436164,0.0009354627,0.00204994,0.000033264114,0.0000023056557,0.000020839807,0.0011699821,0.000013445057,0.0014130792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998882,0.000018845802,0.0000059644426,0.000023096041,0.000037443733,0.000026479112],"domain_scores_gemma":[0.9998714,0.00003490867,0.00002545246,0.000009028746,0.00004949556,0.0000097009915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034060172,0.00035469327,0.0001984355,0.0006614834,0.00014861768,0.00079863745,0.00035068556,0.00032331317,0.0011806497],"category_scores_gemma":[0.00037743297,0.00013261534,0.00061466114,0.000886075,0.00017593638,0.0009809405,0.00026870027,0.00020620786,0.00021865155],"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":[0.0005701668,0.0003830055,0.29283726,0.00064955256,0.00038693938,0.00042087876,0.00017120998,0.5417585,0.036704212,0.0068342737,0.0010164602,0.11826758],"study_design_scores_gemma":[0.000048880822,0.0014761441,0.29618108,0.000290911,0.00033729823,0.00023840075,0.0020516887,0.58152366,0.07960285,0.013671186,0.024450151,0.00012779038],"about_ca_topic_score_codex":0.024140388,"about_ca_topic_score_gemma":0.03532341,"teacher_disagreement_score":0.024140388,"about_ca_system_score_codex":0.001178508,"about_ca_system_score_gemma":0.0006967331,"threshold_uncertainty_score":0.04799974},"labels":[],"label_agreement":null},{"id":"W2054331140","doi":"10.1109/ccece.2012.6334877","title":"Optimal operation strategy and sizing of battery energy storage systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":"University of Toronto","funders":"","keywords":"Sizing; Battery (electricity); Energy storage; Computer science; Electric power system; Power (physics); Mathematical optimization; Reliability engineering; Energy (signal processing); Duration (music); Automotive engineering; Engineering; Mathematics","score_opus":0.00626547033321404,"score_gpt":0.18273295627563793,"score_spread":0.1764674859424239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054331140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21348837,0.0016126176,0.7527034,0.0005435748,0.00011657607,0.0003285858,0.00039705605,0.00049238774,0.030317407],"genre_scores_gemma":[0.94508773,0.0003143875,0.05204428,0.000037459136,0.000013926554,0.00009215303,0.00006291205,0.000030097628,0.002317076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997702,0.00008238556,0.000016310792,0.000039558585,0.000056819008,0.000034613262],"domain_scores_gemma":[0.99978954,0.00009873426,0.000035622827,0.000012845418,0.000051128955,0.00001214938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040267923,0.00067921827,0.0007325439,0.0005431944,0.0002456806,0.0012106438,0.0005501164,0.0005016744,0.0025679157],"category_scores_gemma":[0.0009587169,0.0004854785,0.00027965877,0.000465924,0.00031533197,0.00091119617,0.00025355906,0.0003919002,0.0003034293],"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":[0.000089545014,0.000041099025,0.0003055241,0.00009952298,0.000021546088,0.00006608223,0.000044471963,0.94835997,0.004954098,0.009299304,0.0007434627,0.03597539],"study_design_scores_gemma":[0.000024252502,0.00004875728,0.00016471441,0.000010774285,0.000012251144,0.000019800469,0.000026061778,0.993115,0.0013202813,0.0044464916,0.0008051552,0.0000063388125],"about_ca_topic_score_codex":0.0032192785,"about_ca_topic_score_gemma":0.004370581,"teacher_disagreement_score":0.0032192785,"about_ca_system_score_codex":0.0007751531,"about_ca_system_score_gemma":0.00092382607,"threshold_uncertainty_score":0.008590519},"labels":[],"label_agreement":null},{"id":"W2057078616","doi":"10.1002/er.1248","title":"Characterization and sustainability assessment of Canada's Hydrogen Highway™","year":2006,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"National Research Council Canada; European Commission","keywords":"Sustainability; Characterization (materials science); Environmental science; Hydrogen; Engineering; Environmental economics; Transport engineering; Economics; Materials science; Chemistry; Nanotechnology; Ecology","score_opus":0.006407024615346148,"score_gpt":0.27486106614121325,"score_spread":0.2684540415258671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057078616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597291,0.00035049525,0.0054528904,0.0005875218,0.0000105247145,0.0004400931,0.0047155386,0.000113403694,0.028600452],"genre_scores_gemma":[0.9903239,0.00024236765,0.0034512891,0.000059878857,0.000001569102,0.0001033197,0.00247434,0.000015193074,0.0033282724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989171,0.00015847942,0.000021341597,0.00010341427,0.0005211109,0.00027862377],"domain_scores_gemma":[0.9991155,0.00013443848,0.00005877065,0.000039559953,0.0005611838,0.00009058057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012048176,0.00063636433,0.00050445396,0.0010471811,0.001972013,0.0020404737,0.0012392794,0.0006761347,0.0015039558],"category_scores_gemma":[0.0016324135,0.00029284944,0.00045713244,0.0017605025,0.0008790553,0.00075815874,0.00077066984,0.00056365575,0.00013167948],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012232104,0.0003324994,0.069068894,0.00038677812,0.0002168039,0.0012237863,0.00058904535,0.83019894,0.022076575,0.015555937,0.0054101595,0.05371736],"study_design_scores_gemma":[0.0003379794,0.0010385936,0.1556419,0.00009311424,0.00023874601,0.00034526296,0.004852072,0.73243916,0.053370282,0.007969263,0.043401882,0.00027183426],"about_ca_topic_score_codex":0.91558677,"about_ca_topic_score_gemma":0.9324935,"teacher_disagreement_score":0.08441323,"about_ca_system_score_codex":0.034423027,"about_ca_system_score_gemma":0.017943911,"threshold_uncertainty_score":0.2497577},"labels":[],"label_agreement":null},{"id":"W2059615577","doi":"10.1115/detc2007-35555","title":"Development of Electric Bicycle Performance Testing Techniques and Adaptable Electric Bicycle Power System","year":2007,"lang":"en","type":"article","venue":"Volume 3: 19th International Conference on Design Theory and Methodology; 1st International Conference on Micro- and Nanosystems; and 9th International Conference on Advanced Vehicle Tire Technologies, Parts A and B","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"U.S. Environmental Protection Agency","keywords":"Automotive engineering; Electric power; Engineering; Electric motor; Battery (electricity); Electric heating; Battery electric vehicle; Power (physics); Electrical engineering","score_opus":0.08502746769240714,"score_gpt":0.3026103142358824,"score_spread":0.21758284654347526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059615577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52011746,0.001437431,0.46614224,0.00016609427,0.00013591597,0.0009014999,0.0004528746,0.0016363068,0.009010156],"genre_scores_gemma":[0.73083365,0.00082075794,0.2626284,0.00007310858,0.000020686815,0.00065559713,0.00047689423,0.00009856411,0.00439242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909306,0.00010513128,0.00007221068,0.00012396804,0.0005607945,0.0000448525],"domain_scores_gemma":[0.9992632,0.00009644312,0.000096785414,0.0001099355,0.00040583164,0.000027866967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058845035,0.00055460224,0.00031614833,0.0010409615,0.00019234649,0.0002668735,0.0008452132,0.0003350673,0.0011948097],"category_scores_gemma":[0.0011047554,0.00027307472,0.0001936211,0.000718233,0.00027978013,0.00046431902,0.00037226346,0.00035734262,0.00036850915],"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":[0.00008831429,0.00013664553,0.0021429453,0.00040296518,0.000019211911,0.00016882081,0.00015787824,0.0077378023,0.8743472,0.00088252546,0.0005064989,0.11340925],"study_design_scores_gemma":[0.00005456788,0.0031309202,0.01700588,0.0000752845,0.000053853815,0.0007242764,0.0002192228,0.05193406,0.904918,0.0006144691,0.021196058,0.00007345622],"about_ca_topic_score_codex":0.0012110757,"about_ca_topic_score_gemma":0.0020320253,"teacher_disagreement_score":0.0012110757,"about_ca_system_score_codex":0.0003181451,"about_ca_system_score_gemma":0.00042047742,"threshold_uncertainty_score":0.003997028},"labels":[],"label_agreement":null},{"id":"W2059762168","doi":"10.1016/j.tre.2006.03.002","title":"Dynamic electric power supply chains and transportation networks: An evolutionary variational inequality formulation","year":2006,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Variational inequality; Supply chain network; Projected dynamical system; Mathematical optimization; Equivalence (formal languages); Unification; Electric power; Supply chain; Exploit; Computer science; Power (physics); Mathematics; Supply chain management; Physics; Dynamical systems theory","score_opus":0.02219186156125092,"score_gpt":0.2958476789332314,"score_spread":0.27365581737198047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059762168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018378112,0.006696737,0.92389643,0.003562233,0.0003699176,0.00004741599,0.00019586975,0.000022475786,0.04683081],"genre_scores_gemma":[0.7594981,0.02301829,0.15451524,0.00083808874,0.0013233556,0.00029557088,0.00042327715,0.00009117079,0.05999687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996934,0.0001330064,0.000011379824,0.00006354315,0.000062004845,0.00003683313],"domain_scores_gemma":[0.99947196,0.00036088598,0.00005367407,0.000014789918,0.00007320846,0.000025652113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008275006,0.0010053464,0.00091732095,0.0006831963,0.0005317922,0.001610434,0.0017287947,0.0022118737,0.003530784],"category_scores_gemma":[0.0019234237,0.00065840624,0.0008366482,0.0017757973,0.0017914898,0.0025746834,0.0010587854,0.0018282128,0.00023055355],"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":[0.000009500122,0.000029068931,0.00022405104,0.00009665712,0.000029918518,0.00008380363,0.000057977544,0.44658783,0.00027973895,0.54142547,0.0021345718,0.009041459],"study_design_scores_gemma":[0.000008657057,0.000013511362,0.0001929285,0.000037533246,0.000015129394,0.00003615476,0.00005123283,0.74924856,0.00006599677,0.24607101,0.0042487364,0.000010508929],"about_ca_topic_score_codex":0.009181714,"about_ca_topic_score_gemma":0.007284507,"teacher_disagreement_score":0.009181714,"about_ca_system_score_codex":0.0020327943,"about_ca_system_score_gemma":0.001422504,"threshold_uncertainty_score":0.018256545},"labels":[],"label_agreement":null},{"id":"W2060180847","doi":"10.1109/pesgm.2014.6939871","title":"Priority-based charging coordination of plug-in electric vehicles in smart parking lots","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":"University of Waterloo","funders":"","keywords":"Plug-in; Computer science; Automotive engineering; Transport engineering; Engineering; Operating system","score_opus":0.0043229397627105514,"score_gpt":0.1915601732522931,"score_spread":0.18723723348958254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060180847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0603516,0.00019250633,0.93665624,0.000091985436,0.00008089988,0.00011216732,0.000029780767,0.00047939937,0.0020053748],"genre_scores_gemma":[0.94549805,0.00006291421,0.053407263,0.000022684375,0.000024891111,0.00003465736,0.000026795951,0.000014738189,0.0009080507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.00010979576,0.000036772482,0.000101630125,0.00011428761,0.00008038225],"domain_scores_gemma":[0.9995223,0.00013816154,0.00009226586,0.000027990201,0.00014261225,0.00007672509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072492694,0.0005519039,0.00067232875,0.0006589207,0.000504963,0.0009061905,0.0009952575,0.00043021634,0.0010602443],"category_scores_gemma":[0.0010249922,0.00029254943,0.00028025132,0.0004107123,0.00032476915,0.0007419922,0.00044843482,0.00033040871,0.00014422368],"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":[0.00047268794,0.00022413536,0.0024991815,0.0001755876,0.00007512837,0.00026567976,0.00032313372,0.7638167,0.019052409,0.010620463,0.0018863374,0.20058861],"study_design_scores_gemma":[0.000028474991,0.000078518264,0.0003649724,0.0000032593462,0.000014272536,0.00003847276,0.000042304626,0.9949239,0.0024198908,0.0014724584,0.00060307747,0.000010507059],"about_ca_topic_score_codex":0.0036915338,"about_ca_topic_score_gemma":0.0047145886,"teacher_disagreement_score":0.0036915338,"about_ca_system_score_codex":0.0005485367,"about_ca_system_score_gemma":0.0009279047,"threshold_uncertainty_score":0.0073400736},"labels":[],"label_agreement":null},{"id":"W2060832293","doi":"10.1007/s12667-013-0092-2","title":"A decentralized access control algorithm for PHEV charging in smart grid","year":2013,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Scalability; Computer science; Renewable energy; Demand response; Grid; Schedule; Electric vehicle; Distributed computing; Electricity; Engineering; Electrical engineering","score_opus":0.0054643202218513055,"score_gpt":0.19887450480740798,"score_spread":0.19341018458555667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060832293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016606148,0.0001379892,0.97965074,0.00017023101,0.00011428332,0.000079667814,0.00003348041,0.00059369387,0.0026137908],"genre_scores_gemma":[0.92820317,0.000085544976,0.0687393,0.00008943423,0.00007945582,0.00009607849,0.000059339756,0.00003529898,0.002612353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926883,0.00018535035,0.00004019676,0.00016087032,0.00020851944,0.00013633033],"domain_scores_gemma":[0.99907386,0.0004334492,0.00006859032,0.00011264824,0.00025665,0.000054788696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091148785,0.00048532092,0.001180133,0.00039438985,0.0007295256,0.0010948251,0.0011572333,0.0007317213,0.0027002965],"category_scores_gemma":[0.0025476944,0.00022068947,0.0003539245,0.0005440408,0.000559143,0.0010307438,0.0010198312,0.001064565,0.0003677606],"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":[0.000715702,0.0002630619,0.0007210282,0.00010119415,0.00006327219,0.00011815144,0.00014811514,0.68277603,0.0075476104,0.036460258,0.006524022,0.2645616],"study_design_scores_gemma":[0.00003979217,0.000038491835,0.000061186176,0.0000020861578,0.0000051679754,0.000023323199,0.000008065188,0.9947054,0.00058448914,0.004083473,0.00044348236,0.000005202447],"about_ca_topic_score_codex":0.0034128907,"about_ca_topic_score_gemma":0.004072052,"teacher_disagreement_score":0.0034128907,"about_ca_system_score_codex":0.00061587384,"about_ca_system_score_gemma":0.00128798,"threshold_uncertainty_score":0.009033382},"labels":[],"label_agreement":null},{"id":"W2062699368","doi":"10.1016/j.ijhydene.2014.04.138","title":"Demonstrations and marketing strategies of hydrogen fuel cell vehicles in China","year":2014,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Tsinghua University","keywords":"Beijing; China; Zero emission; Greenhouse gas; Environmental economics; Business; Hydrogen vehicle; Truck; Fuel cells; Hydrogen fuel; Process (computing); Marketing; Transport engineering; Computer science; Engineering; Automotive engineering; Waste management; Economics; Political science","score_opus":0.0029959341051156983,"score_gpt":0.19136558483865937,"score_spread":0.18836965073354367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062699368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912636,0.00010119158,0.00014394312,0.00032928868,0.0000055395217,0.00003125682,0.000019775189,0.000012759862,0.008092741],"genre_scores_gemma":[0.9964688,0.000053468466,0.000091224036,0.000031297346,0.0000026969465,0.000006970939,0.000015542902,0.000001194193,0.0033287746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999754,0.00005087422,0.0000061623687,0.000031871205,0.00005901091,0.00009802775],"domain_scores_gemma":[0.9995765,0.00010778908,0.000057504283,0.000025659201,0.00009825564,0.00013420479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008874933,0.00023591505,0.00008910132,0.0005025235,0.001477805,0.0008516277,0.0005008641,0.00078350626,0.0035116738],"category_scores_gemma":[0.00059165334,0.0001147865,0.00019401492,0.0004106784,0.00071316026,0.0009238432,0.00057115697,0.00038600617,0.00015773498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034226486,0.004010668,0.3778727,0.00058607105,0.00014754155,0.008160644,0.027378226,0.02018663,0.13237597,0.09675588,0.01620815,0.3128948],"study_design_scores_gemma":[0.00036986766,0.0032537351,0.77392894,0.000090526846,0.00015812888,0.0006648649,0.034329697,0.05173383,0.051628847,0.008366625,0.075280555,0.00019437225],"about_ca_topic_score_codex":0.04228774,"about_ca_topic_score_gemma":0.051876128,"teacher_disagreement_score":0.04228774,"about_ca_system_score_codex":0.003905838,"about_ca_system_score_gemma":0.0037221948,"threshold_uncertainty_score":0.0840832},"labels":[],"label_agreement":null},{"id":"W2063668489","doi":"10.1115/es2009-90318","title":"Hydrogen Economy or Electricity Economy?: A Transportation Case Study","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydrogen vehicle; Miles per gallon gasoline equivalent; Hydrogen economy; Battery (electricity); Electricity; Automotive engineering; Environmental science; Driving range; Hydrogen fuel; Energy storage; Greenhouse gas; Primary energy; Hydrogen; Green vehicle; Fuel efficiency; Environmental economics; Engineering; Electrical engineering; Power (physics); Economics; Chemistry","score_opus":0.006527997645425421,"score_gpt":0.20564065039328075,"score_spread":0.19911265274785533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063668489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7220793,0.007848358,0.012962047,0.011107103,0.00028045962,0.00055605813,0.003030942,0.000082791514,0.24205297],"genre_scores_gemma":[0.9505505,0.010050633,0.0065543293,0.0005190457,0.00012726127,0.00020074713,0.0010307927,0.000030179008,0.030936591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952126,0.0001965828,0.000016264532,0.000034738223,0.00010554237,0.00012558616],"domain_scores_gemma":[0.99942917,0.0003414619,0.000039281116,0.000027192737,0.00009675386,0.00006604336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068537146,0.000616259,0.0003463269,0.001089662,0.0022377346,0.0019833718,0.0010804299,0.002948455,0.008138623],"category_scores_gemma":[0.0011249181,0.00026175723,0.0009167342,0.00329177,0.0010188931,0.002724848,0.0014985214,0.0011520513,0.00072844914],"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":[0.0010304771,0.0032563873,0.04148825,0.0017317055,0.00034492175,0.053526588,0.0045294315,0.25074133,0.0041345796,0.4748244,0.08386961,0.08052235],"study_design_scores_gemma":[0.0005893294,0.0019878945,0.02965812,0.00074558426,0.0004767586,0.011725313,0.06537554,0.29278988,0.007924779,0.116397694,0.47201315,0.000315949],"about_ca_topic_score_codex":0.032490518,"about_ca_topic_score_gemma":0.041132376,"teacher_disagreement_score":0.032490518,"about_ca_system_score_codex":0.0028776613,"about_ca_system_score_gemma":0.0008441729,"threshold_uncertainty_score":0.06460279},"labels":[],"label_agreement":null},{"id":"W2066027417","doi":"10.1109/pesmg.2013.6672572","title":"Characterization of prospective charging locations of plug-in vehicles using real-world driving data","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Grid; Sizing; Computer science; Load profile; Transport engineering; Duration (music); Real-time computing; Automotive engineering; Engineering; Geography; Electrical engineering","score_opus":0.013101945091531791,"score_gpt":0.23114038340052537,"score_spread":0.21803843830899358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066027417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942115,0.000025352907,0.003412443,0.000023127559,0.000004555711,0.00002687448,0.0018049454,0.00008929561,0.0004019847],"genre_scores_gemma":[0.9943047,0.000023194096,0.0014393688,0.0000033584927,0.0000030466074,0.0000092847595,0.0040198737,0.000008442653,0.0001885849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962974,0.000043915064,0.000033511922,0.000075742224,0.00013986877,0.000077225646],"domain_scores_gemma":[0.9983064,0.0005082777,0.00024771877,0.00013788152,0.00068957463,0.0001101863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045750014,0.0003186186,0.00030924717,0.0016951471,0.00026512358,0.00077335024,0.0004219337,0.0002479531,0.00033444338],"category_scores_gemma":[0.0022544297,0.00013793109,0.0002989102,0.0015266758,0.00018434865,0.00042213526,0.00024821612,0.00023137737,0.00019557863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024426237,0.00013919681,0.9095738,0.00006607237,0.00014475516,0.00032165655,0.00028315157,0.05820422,0.0054052053,0.00041580552,0.0007961907,0.024405701],"study_design_scores_gemma":[0.000008609443,0.00010388641,0.80132955,0.0000083467385,0.000040477702,0.0002168481,0.0006737447,0.19117384,0.0047249976,0.00015944059,0.0015297907,0.000030441499],"about_ca_topic_score_codex":0.08184533,"about_ca_topic_score_gemma":0.12453472,"teacher_disagreement_score":0.08184533,"about_ca_system_score_codex":0.0006689133,"about_ca_system_score_gemma":0.0006918863,"threshold_uncertainty_score":0.1627379},"labels":[],"label_agreement":null},{"id":"W2066694451","doi":"10.1016/j.trd.2015.02.001","title":"Is awareness of public charging associated with consumer interest in plug-in electric vehicles?","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bivariate analysis; Purchasing; Visibility; Sample (material); Public interest; Business; Marketing; Advertising; Geography; Political science; Statistics; Mathematics","score_opus":0.07775653568474657,"score_gpt":0.2740628191683816,"score_spread":0.19630628348363505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066694451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986785,0.00042527282,0.00012060847,0.004686032,0.000060998704,0.000010238685,0.00037633438,0.0000072916164,0.007528263],"genre_scores_gemma":[0.9987733,0.00019863107,0.00003546742,0.0003540573,0.000068859794,0.0000046637388,0.00013312371,0.0000027140534,0.000429276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998645,0.00043131644,0.00012503471,0.00013346251,0.0002935186,0.0003716691],"domain_scores_gemma":[0.9768181,0.007445796,0.010780342,0.00081110746,0.0024409762,0.0017037737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014423536,0.000120859426,0.00019740418,0.0009941331,0.0004212405,0.0017464436,0.0005817126,0.0015603519,0.008268903],"category_scores_gemma":[0.019675935,0.00024558246,0.0005416034,0.0013746336,0.00064934074,0.0014612408,0.0006547094,0.0019595658,0.0008338383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017984692,0.00023884655,0.99016297,0.00003536067,0.000049591992,0.00012175076,0.00073110464,0.00002950153,0.00007337663,0.00031359607,0.00089903484,0.007164976],"study_design_scores_gemma":[0.000006799224,0.00007362509,0.9935755,0.000054075113,0.000048683123,0.00034085868,0.003811796,0.00023242614,0.00011378737,0.00030767862,0.001424996,0.0000097817265],"about_ca_topic_score_codex":0.011229155,"about_ca_topic_score_gemma":0.008126676,"teacher_disagreement_score":0.011229155,"about_ca_system_score_codex":0.0006486245,"about_ca_system_score_gemma":0.00066788675,"threshold_uncertainty_score":0.027662218},"labels":[],"label_agreement":null},{"id":"W2068206267","doi":"10.1109/pesgm.2014.6939051","title":"Performance analysis of a real-time decentralized algorithm for coordinated PEV charging at home and workplace with PV solar panel integration","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Photovoltaic system; Computer science; Renewable energy; Grid; Vehicle-to-grid; Benchmark (surveying); Solar power; Electric vehicle; Algorithm; Automotive engineering; Power (physics); Distributed computing; Engineering; Electrical engineering; Mathematics","score_opus":0.004469954294155646,"score_gpt":0.18402435296182695,"score_spread":0.1795543986676713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068206267","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39943424,0.0007873739,0.58313185,0.0005526923,0.00014663047,0.00019399205,0.00011881362,0.0011536406,0.014480766],"genre_scores_gemma":[0.977771,0.00005573051,0.021275887,0.000027293983,0.0000116163155,0.00003448375,0.00004535233,0.000023180037,0.000755428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993123,0.00018763548,0.000029588668,0.00014347327,0.00015246963,0.0001745321],"domain_scores_gemma":[0.99766517,0.0013237079,0.00023724083,0.00014396933,0.00046624447,0.00016374902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010603615,0.00071276654,0.00084520964,0.00037640688,0.0005463861,0.0008280421,0.0008908249,0.0007724407,0.0027110816],"category_scores_gemma":[0.0036242295,0.00017624481,0.0002725714,0.00037501505,0.00044539137,0.00062241737,0.0005718384,0.0005450771,0.00024834537],"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":[0.0002415432,0.000065668166,0.0005971487,0.000044043183,0.000015866046,0.00002358395,0.000020066662,0.9841636,0.0020147986,0.0014510944,0.00039303512,0.010969602],"study_design_scores_gemma":[0.00001751714,0.000054411168,0.000106547646,0.0000012773735,0.0000033260956,0.000008598914,0.000007633605,0.9991316,0.000412765,0.00020122238,0.000053199976,0.0000019253125],"about_ca_topic_score_codex":0.005833652,"about_ca_topic_score_gemma":0.003889899,"teacher_disagreement_score":0.005833652,"about_ca_system_score_codex":0.001165006,"about_ca_system_score_gemma":0.0021672847,"threshold_uncertainty_score":0.0115994215},"labels":[],"label_agreement":null},{"id":"W2068379943","doi":"10.1177/0270467606292150","title":"Alternative Fuels in Transportation","year":2006,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":37,"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 Toronto","funders":"","keywords":"Fossil fuel; Renewable energy; Natural resource economics; Greenhouse gas; Renewable fuels; Energy transition; Environmental science; Alternative energy; Environmental economics; Investment (military); Energy development; Business; Waste management; Economics; Engineering; Ecology","score_opus":0.002953343631478552,"score_gpt":0.19167226443895052,"score_spread":0.18871892080747196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068379943","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026664482,0.3582849,0.0058238828,0.039698306,0.008319223,0.000043441294,0.00017554052,0.000045907047,0.58494246],"genre_scores_gemma":[0.13768813,0.5058762,0.0070501603,0.0070129666,0.006309305,0.0001095076,0.00030061667,0.00006802452,0.33558518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995857,0.00012755858,0.000015219744,0.000043932738,0.00016663055,0.000061018007],"domain_scores_gemma":[0.99979,0.00005324498,0.000021345217,0.000019197554,0.000083019666,0.000033159584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507926,0.00048702076,0.0003695493,0.0011945559,0.0014760765,0.0029306626,0.00072189496,0.0023170754,0.028772105],"category_scores_gemma":[0.00070555287,0.00010570711,0.00028853436,0.002126621,0.0018110693,0.002732396,0.0011578464,0.0016523643,0.0042912527],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013272735,0.00002612145,0.00016028421,0.00024364139,0.0000057930947,0.00013018853,0.0002098198,0.0010670177,0.00023248867,0.83588654,0.06335224,0.098672606],"study_design_scores_gemma":[0.0000014746998,0.0000143809175,0.00013214524,0.00031872754,0.0000021668397,0.00010854206,0.000320561,0.00021487084,0.00009188681,0.13124457,0.8675444,0.000006135483],"about_ca_topic_score_codex":0.0052031963,"about_ca_topic_score_gemma":0.00896921,"teacher_disagreement_score":0.028772105,"about_ca_system_score_codex":0.0025056647,"about_ca_system_score_gemma":0.0015100397,"threshold_uncertainty_score":0.09625232},"labels":[],"label_agreement":null},{"id":"W2070469578","doi":"10.1109/pesgm.2012.6345583","title":"Uncoordinated charging impacts of electric vehicles on electric distribution grids: Normal and fast charging comparison","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distribution grid; Automotive engineering; Grid; Plug-in; Penetration (warfare); Electric vehicle; Voltage; Power grid; Environmental science; Computer science; Electrical engineering; Power (physics); Engineering; Physics; Mathematics; Operations research","score_opus":0.005779327514624423,"score_gpt":0.20979148560122712,"score_spread":0.2040121580866027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070469578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98787117,0.00010604132,0.006750171,0.000022331622,0.0000072006933,0.000030114286,0.000107369706,0.00005237594,0.0050530587],"genre_scores_gemma":[0.999042,0.000049043865,0.0006086957,0.000003064046,0.0000015876761,0.0000035190087,0.000053379725,0.0000042824963,0.000234495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991584,0.00017883441,0.00003403396,0.0000633625,0.00040212274,0.00016323982],"domain_scores_gemma":[0.99835986,0.00082505797,0.0001472014,0.0001628299,0.00044766083,0.000057378944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084272586,0.0005796512,0.00043185128,0.0012410159,0.00034331507,0.0009153447,0.0005199844,0.00030504545,0.0010925771],"category_scores_gemma":[0.0020671093,0.0001980667,0.00044648428,0.0013919219,0.0006039635,0.0012999634,0.00076908444,0.00030963423,0.00009197099],"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":[0.0012923221,0.00014287051,0.058349047,0.00015960292,0.00012497975,0.0008400427,0.00017909675,0.8737401,0.006298539,0.0031435776,0.00043258484,0.055297162],"study_design_scores_gemma":[0.00010982869,0.0012245531,0.1237605,0.000025534851,0.00021988049,0.00050456775,0.0012789887,0.84576565,0.02102067,0.003914978,0.0020942,0.000080728285],"about_ca_topic_score_codex":0.023650268,"about_ca_topic_score_gemma":0.030374138,"teacher_disagreement_score":0.023650268,"about_ca_system_score_codex":0.0017772982,"about_ca_system_score_gemma":0.0006641621,"threshold_uncertainty_score":0.047025204},"labels":[],"label_agreement":null},{"id":"W2072957652","doi":"10.1109/ievc.2014.7056207","title":"Neighborhood level network aware electric vehicle charging management with mixed control strategy","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Smart grid; Computer science; Electric vehicle; Control (management); Grid; Power (physics); Automotive engineering; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.005301072475780187,"score_gpt":0.17025651769688485,"score_spread":0.16495544522110467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072957652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13554935,0.00038724186,0.8540596,0.00017563814,0.0000666384,0.000086363405,0.000042690408,0.0005254073,0.009107161],"genre_scores_gemma":[0.9877318,0.00004774504,0.010923011,0.0000257562,0.000010540909,0.000027068776,0.000020729427,0.0000088549605,0.0012044723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996911,0.00006853204,0.00001535651,0.000078298,0.000081216494,0.000065449945],"domain_scores_gemma":[0.9998197,0.000044370656,0.000038380927,0.000014386522,0.000059733215,0.000023506786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003761298,0.0005547109,0.0005765395,0.00035349894,0.00036465784,0.00099511,0.0011860795,0.00039254216,0.0012698995],"category_scores_gemma":[0.00046537386,0.000197148,0.00033216033,0.00034677773,0.00030210003,0.0006767474,0.0007044875,0.0003065396,0.00017081414],"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":[0.00024042524,0.00017688211,0.0017203233,0.00007449909,0.00007662952,0.00014036753,0.00009462013,0.88246834,0.008062567,0.005489862,0.0011007244,0.10035474],"study_design_scores_gemma":[0.000008673756,0.00005434997,0.0001904623,0.000001904138,0.000011306219,0.00001720064,0.000017762666,0.99778146,0.00069287064,0.0009330037,0.00028684965,0.000004182121],"about_ca_topic_score_codex":0.003986761,"about_ca_topic_score_gemma":0.005367627,"teacher_disagreement_score":0.003986761,"about_ca_system_score_codex":0.0005987472,"about_ca_system_score_gemma":0.0004466501,"threshold_uncertainty_score":0.00792712},"labels":[],"label_agreement":null},{"id":"W2073834968","doi":"10.1109/itec.2013.6573512","title":"The impact of EV/PHEV chargers on residential loads - A case study","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mohawk College; Hydro One (Canada); McMaster University","funders":"Houston Advanced Research Center","keywords":"Converters; Electric vehicle; Smart grid; Automotive engineering; Grid; Plug-in; Harmonic; Electrical engineering; Computer science; Engineering; Power (physics); Voltage","score_opus":0.005490199043882287,"score_gpt":0.2361914343602702,"score_spread":0.23070123531638792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073834968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99026734,0.00003828346,0.002288763,0.000085869586,0.0000067247925,0.00009404738,0.00016475242,0.00010911435,0.0069450764],"genre_scores_gemma":[0.99811256,0.000032667638,0.00057765894,0.000008600505,0.0000026894475,0.000014769985,0.000044793655,0.0000056975255,0.0012005904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993819,0.00023444196,0.000021271024,0.000054378674,0.00018029902,0.00012768761],"domain_scores_gemma":[0.9990534,0.0005519746,0.00008257803,0.00008922924,0.00015792,0.000064966065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004886793,0.00049665454,0.0003786247,0.0005323209,0.00093852455,0.0006803092,0.0007004687,0.0011296667,0.003233067],"category_scores_gemma":[0.0010227087,0.00022669532,0.00046379154,0.00048979337,0.00063254335,0.00068493263,0.0006160068,0.000534949,0.0004189624],"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":[0.0025134373,0.003569396,0.09445752,0.00048476818,0.00022473771,0.022455182,0.0016087432,0.77472067,0.03971692,0.005282747,0.0053963703,0.049569502],"study_design_scores_gemma":[0.0004341327,0.004313954,0.10600913,0.00004795319,0.0003163183,0.0043418384,0.009516524,0.7956726,0.06859371,0.0032399134,0.007373917,0.0001400499],"about_ca_topic_score_codex":0.012072668,"about_ca_topic_score_gemma":0.015502585,"teacher_disagreement_score":0.012072668,"about_ca_system_score_codex":0.0011219494,"about_ca_system_score_gemma":0.0004971758,"threshold_uncertainty_score":0.024004817},"labels":[],"label_agreement":null},{"id":"W2074235273","doi":"10.1109/sege.2015.7324606","title":"Fuzzy logic-based charging strategy for Electric Vehicles plugged into a smart grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"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 Waterloo","funders":"","keywords":"Fuzzy logic; Computer science; Grid; Smart grid; Automotive engineering; Electrical engineering; Engineering; Artificial intelligence; Mathematics","score_opus":0.019880004870398437,"score_gpt":0.2338442106966298,"score_spread":0.21396420582623138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074235273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22121786,0.0003185726,0.75738245,0.00020796366,0.0000918036,0.0002360012,0.0000812022,0.0006990357,0.019765174],"genre_scores_gemma":[0.9866284,0.00004436107,0.011972705,0.000024489726,0.0000042232227,0.000023734196,0.000015813337,0.00000450041,0.0012817896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983025,0.000035644734,0.000012504904,0.000026031108,0.000065497836,0.000030028303],"domain_scores_gemma":[0.99990344,0.000021176018,0.000017737082,0.000007787325,0.000041086223,0.000008689741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025286616,0.00034079386,0.00027122675,0.0003316335,0.00041006907,0.0007085199,0.0006173036,0.0003708659,0.0014161567],"category_scores_gemma":[0.00035218723,0.00012682976,0.00026967397,0.00025990405,0.00025024975,0.00040858125,0.00024692758,0.00024656692,0.00020432273],"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":[0.00045716928,0.00022337947,0.0014689091,0.00015331109,0.000060059192,0.00044259857,0.00023695767,0.8288146,0.027988924,0.015542388,0.0016932737,0.122918405],"study_design_scores_gemma":[0.00003729054,0.00013807157,0.00032766032,0.0000071214104,0.000020958954,0.00005528177,0.00005111802,0.99096113,0.0045903753,0.0026864086,0.0011136144,0.000010927565],"about_ca_topic_score_codex":0.007572459,"about_ca_topic_score_gemma":0.0064951307,"teacher_disagreement_score":0.007572459,"about_ca_system_score_codex":0.000691731,"about_ca_system_score_gemma":0.00053897465,"threshold_uncertainty_score":0.015056789},"labels":[],"label_agreement":null},{"id":"W2075892962","doi":"10.1109/pesgm.2014.6939926","title":"PEVs real-time coordination in smart grid based on moving time window","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 Waterloo","funders":"","keywords":"Smart grid; Computer science; Grid; Profit (economics); Plug-in; Real-time computing; Electricity; Distribution grid; Simulation; Voltage; Engineering; Electrical engineering","score_opus":0.002212371999816742,"score_gpt":0.16788302616470585,"score_spread":0.1656706541648891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075892962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03063245,0.0002782246,0.9661873,0.00007721915,0.000096337164,0.000047488666,0.000023498193,0.00042141436,0.002236073],"genre_scores_gemma":[0.9424753,0.00014473083,0.055717207,0.000030676456,0.00005133608,0.000049067756,0.00003475899,0.00003371811,0.001463146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935716,0.00015008965,0.00003770374,0.00019730192,0.0001614283,0.00009635611],"domain_scores_gemma":[0.9995455,0.0001693928,0.000081574435,0.000055846875,0.00009369366,0.000053997996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065479486,0.00064260594,0.0008497556,0.00037545417,0.00046242017,0.00074889674,0.0010977455,0.0003853541,0.0016369045],"category_scores_gemma":[0.001181328,0.00024119577,0.0003107103,0.00050389505,0.00038810735,0.0012207562,0.0006296631,0.00051902054,0.00023895166],"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":[0.000842003,0.00017742363,0.0016332393,0.00013786674,0.00009530299,0.00033015947,0.00022245887,0.6765127,0.018791193,0.03020626,0.0030049966,0.26804635],"study_design_scores_gemma":[0.000024219144,0.000072172115,0.00019687517,0.0000029463113,0.000012915595,0.000058253107,0.00001994368,0.9943942,0.0020715494,0.0022718802,0.0008655584,0.000009486126],"about_ca_topic_score_codex":0.0024399653,"about_ca_topic_score_gemma":0.0023162952,"teacher_disagreement_score":0.0024399653,"about_ca_system_score_codex":0.0004945186,"about_ca_system_score_gemma":0.0006135587,"threshold_uncertainty_score":0.0054759383},"labels":[],"label_agreement":null},{"id":"W2076337254","doi":"10.1109/pesgm.2014.6939568","title":"Impact of PEV penetration on distribution system planning considering time-of-use electricity prices","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 Waterloo","funders":"","keywords":"Electricity; Electricity demand; Probabilistic logic; Electric vehicle; Plan (archaeology); Computer science; Mains electricity; Automotive engineering; Supply and demand; Electricity price; Environmental economics; Operations research; Engineering; Electricity generation; Electrical engineering; Economics; Voltage; Microeconomics; Power (physics)","score_opus":0.00700295758444488,"score_gpt":0.21485387103545076,"score_spread":0.20785091345100587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076337254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67143905,0.0009939742,0.30009505,0.0010252481,0.00008784097,0.00008707015,0.0005085787,0.00034408746,0.025419079],"genre_scores_gemma":[0.9953915,0.00013697901,0.0036122457,0.000020224856,0.000006201387,0.000010953017,0.0000407636,0.000021848002,0.00075929775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992644,0.00038902127,0.000015648884,0.0000688905,0.0001395945,0.00012245227],"domain_scores_gemma":[0.99720615,0.0022826467,0.00016650632,0.00006395321,0.00017180588,0.000108883454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010399905,0.00066704967,0.0005442392,0.00032997117,0.00038193288,0.0012033134,0.0006756703,0.00088526955,0.001552124],"category_scores_gemma":[0.005261596,0.00061293977,0.00041089262,0.0005324061,0.00046199342,0.0016276791,0.00081282074,0.0010517406,0.00012180654],"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":[0.000018105233,0.0000054138886,0.00052035647,0.000004607046,0.00000627336,0.00003932073,0.000004544175,0.99717367,0.00011321158,0.0006716606,0.00004358863,0.0013991515],"study_design_scores_gemma":[0.0000037023742,0.000039771643,0.0004087934,0.0000026525972,0.00000828967,0.000019429383,0.000016262025,0.9982376,0.00026263058,0.0008826123,0.00011420937,0.000004104828],"about_ca_topic_score_codex":0.018645523,"about_ca_topic_score_gemma":0.016944753,"teacher_disagreement_score":0.018645523,"about_ca_system_score_codex":0.001318906,"about_ca_system_score_gemma":0.0010339997,"threshold_uncertainty_score":0.03707397},"labels":[],"label_agreement":null},{"id":"W207709467","doi":"10.1016/j.tra.2015.09.004","title":"Anticipating PEV buyers’ acceptance of utility controlled charging","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; BC Hydro; Pacific Institute for Climate Solutions","keywords":"Respondent; Purchasing; Electric vehicle; Marketing; Control (management); Business; Electricity; Consumer behaviour; Advertising; Engineering; Economics","score_opus":0.11030895616963778,"score_gpt":0.40671692828295103,"score_spread":0.29640797211331327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207709467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797221,0.00006175287,0.0039805593,0.0010022387,0.000031534357,0.000028561852,0.000072964955,0.00003497893,0.015065328],"genre_scores_gemma":[0.99903417,0.0000146636385,0.00023793867,0.0000320529,0.0000060449106,0.000003819166,0.000023106573,0.0000025726101,0.00064558425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911076,0.00035191237,0.000038981038,0.00011276472,0.00019710396,0.00018853405],"domain_scores_gemma":[0.9845808,0.0112895705,0.0016706366,0.0004583872,0.0013961528,0.00060437527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020944064,0.00015835406,0.00021595477,0.00026555848,0.00034996067,0.0018526537,0.0005970937,0.0011983955,0.007322917],"category_scores_gemma":[0.02762663,0.00029192897,0.00021579547,0.0003213186,0.00036977712,0.0018688659,0.00071599387,0.0019351967,0.00050949905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053438437,0.001928078,0.73280805,0.00020954301,0.00021823631,0.0027932515,0.005715671,0.102795385,0.004919169,0.041809913,0.007476904,0.09398197],"study_design_scores_gemma":[0.0001914961,0.0019444319,0.37174052,0.00009337404,0.00011989235,0.0007635448,0.017518608,0.5503157,0.0038209255,0.04331702,0.010023196,0.00015133772],"about_ca_topic_score_codex":0.0049013128,"about_ca_topic_score_gemma":0.0057507292,"teacher_disagreement_score":0.007322917,"about_ca_system_score_codex":0.0006494905,"about_ca_system_score_gemma":0.00049650687,"threshold_uncertainty_score":0.024497569},"labels":[],"label_agreement":null},{"id":"W2081149984","doi":"10.1021/cen071510114916","title":"ELECTRIC VEHICLES Batteries and battery materials get a big boost","year":2010,"lang":"en","type":"article","venue":"Chemical & Engineering News","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Automotive engineering; Engineering; Forensic engineering; Waste management; Electrical engineering; Environmental science; Physics","score_opus":0.0037098584922547846,"score_gpt":0.17172738616099795,"score_spread":0.16801752766874317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081149984","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065387343,0.13474475,0.0062871003,0.17475273,0.0670475,0.00010644218,0.0024977755,0.0014521371,0.6065727],"genre_scores_gemma":[0.04695543,0.16651775,0.007356513,0.049814347,0.020944197,0.00007469076,0.0034242915,0.0005572943,0.7043554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927074,0.000057618417,0.000020793394,0.0000511871,0.0005027886,0.000096810145],"domain_scores_gemma":[0.9987024,0.00020254342,0.000040763607,0.000056782792,0.00076301355,0.00023449602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013481702,0.00087320374,0.00046617282,0.0007780871,0.00072096376,0.0028098125,0.0007868756,0.0031266003,0.07826146],"category_scores_gemma":[0.0023194002,0.0002994961,0.00048656302,0.0011987048,0.0005179834,0.0040376787,0.0011384045,0.002872166,0.047186516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008794717,0.00006138425,0.00016650537,0.00037460175,0.000009474393,0.000079833415,0.00003549326,0.00019372166,0.0014963207,0.016857883,0.8315007,0.14913616],"study_design_scores_gemma":[0.000007960927,0.000018164636,0.00018391879,0.00005521727,0.000003706718,0.000059312693,0.000036463618,0.000052224994,0.00028482557,0.0017205856,0.9975738,0.0000037511377],"about_ca_topic_score_codex":0.0018331514,"about_ca_topic_score_gemma":0.0031989675,"teacher_disagreement_score":0.07826146,"about_ca_system_score_codex":0.0010647319,"about_ca_system_score_gemma":0.0011677319,"threshold_uncertainty_score":0.26181066},"labels":[],"label_agreement":null},{"id":"W2083391871","doi":"10.1109/epec.2013.6802925","title":"A game theoretic approach for plug-in hybrid electrical vehicle load management in the smart grid","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Smart grid; Grid; Scalability; Electricity; Plug-in; Emulation; Regret; Mathematical optimization; Simulation; Engineering; Electrical engineering","score_opus":0.0046447926015583604,"score_gpt":0.18387927286392075,"score_spread":0.17923448026236238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083391871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044438234,0.000091931535,0.98970944,0.0002420069,0.000035044344,0.000077281344,0.000030456406,0.0000555825,0.00531442],"genre_scores_gemma":[0.712917,0.0005825195,0.2727982,0.00029226075,0.00013402473,0.00045766236,0.00011157314,0.00007717877,0.012629632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992582,0.00038511914,0.000024447689,0.00010194273,0.00014383087,0.00008650431],"domain_scores_gemma":[0.999469,0.00034074637,0.00005476449,0.000024375406,0.00006373339,0.000047345296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010701509,0.001113621,0.0010153068,0.00063886377,0.00075377326,0.0014158363,0.0016916743,0.00120633,0.0037429782],"category_scores_gemma":[0.0016617246,0.0004729412,0.0008762363,0.000730715,0.001336173,0.0015942545,0.0012231399,0.0015495244,0.0004493921],"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":[0.00003472614,0.00005555199,0.00020844827,0.00006052685,0.000037304915,0.00011886553,0.00008132058,0.84855545,0.0008042649,0.13555376,0.0015261743,0.012963552],"study_design_scores_gemma":[0.000010204395,0.00001886068,0.00003427267,0.000004367924,0.0000062005156,0.000025693635,0.000017755654,0.9686068,0.00014709745,0.03021855,0.0009037495,0.0000064154683],"about_ca_topic_score_codex":0.0045550326,"about_ca_topic_score_gemma":0.0046898527,"teacher_disagreement_score":0.0045550326,"about_ca_system_score_codex":0.0019537013,"about_ca_system_score_gemma":0.0016896076,"threshold_uncertainty_score":0.014175177},"labels":[],"label_agreement":null},{"id":"W2083852337","doi":"10.1109/tsg.2012.2212730","title":"Aggregated-Proofs Based Privacy-Preserving Authentication for V2G Networks in the Smart Grid","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"News aggregator; Computer science; Authentication (law); Mathematical proof; Identification (biology); Smart grid; Security analysis; Grid; Mutual authentication; Mode (computer interface); Computer security; Message authentication code; Computer network; Cryptography; Engineering; Mathematics","score_opus":0.013437926349271554,"score_gpt":0.2247711633292778,"score_spread":0.21133323698000625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083852337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066425465,0.00040077986,0.9289757,0.00043947803,0.00009520528,0.00013567875,0.00008811483,0.00072347757,0.0027160295],"genre_scores_gemma":[0.9618425,0.000140849,0.036753383,0.000055136275,0.0000475139,0.000057716454,0.000049951428,0.000016582484,0.0010365334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99626356,0.0017261587,0.00026830117,0.00038670716,0.0009652636,0.00038994127],"domain_scores_gemma":[0.9930266,0.0025862162,0.0009490813,0.0023751156,0.00085502083,0.00020798246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002465994,0.0005981176,0.00079181406,0.0007465788,0.0011570101,0.0018761329,0.0014269005,0.001015538,0.0014494613],"category_scores_gemma":[0.0078029647,0.00027434924,0.00063277525,0.00094081427,0.0015066852,0.003925127,0.0029318903,0.0011273072,0.00048623778],"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":[0.002209268,0.00028727582,0.0032891482,0.00050592277,0.00025224764,0.0016960017,0.0014077006,0.32362053,0.06315344,0.40020633,0.005485603,0.19788645],"study_design_scores_gemma":[0.00007943031,0.00024519936,0.00030257704,0.000028053844,0.000056484612,0.00047563977,0.00011293739,0.895022,0.01969035,0.07906866,0.004870595,0.000048117552],"about_ca_topic_score_codex":0.00063128164,"about_ca_topic_score_gemma":0.0005154529,"teacher_disagreement_score":0.002465994,"about_ca_system_score_codex":0.0011153006,"about_ca_system_score_gemma":0.0014848872,"threshold_uncertainty_score":0.013041556},"labels":[],"label_agreement":null},{"id":"W2083928083","doi":"10.1109/tsg.2013.2242207","title":"Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electric vehicle; Genetic algorithm; Track (disk drive); Computer science; Power (physics); Optimization problem; Stochastic optimization; Automotive engineering; Mathematical optimization; Engineering; Algorithm; Mathematics; Physics","score_opus":0.008832645928180978,"score_gpt":0.20040590142909862,"score_spread":0.19157325550091764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083928083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025231956,0.00030224712,0.96452755,0.00023585587,0.000053222284,0.00005867229,0.00006562155,0.00019697008,0.00932792],"genre_scores_gemma":[0.95808184,0.00026440845,0.035884123,0.000071178285,0.000028211878,0.0001708444,0.000110447654,0.00005597519,0.005332995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997081,0.00010193972,0.000011905425,0.00004642906,0.000084463376,0.000047125322],"domain_scores_gemma":[0.9997745,0.000110006324,0.000030256673,0.000013412382,0.00006031697,0.000011477339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006164822,0.0008447011,0.00091204955,0.00042227353,0.00036657733,0.0009839339,0.00064244855,0.00064291095,0.001765467],"category_scores_gemma":[0.0010437384,0.00037543627,0.0006406252,0.0006772336,0.00037525952,0.00076755346,0.00062119385,0.0006805472,0.00020826321],"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":[0.000006203872,0.000005441428,0.00006887245,0.000007725867,0.0000059382774,0.000011095242,0.000007179494,0.9950936,0.00014844137,0.0019566822,0.00017177773,0.0025170317],"study_design_scores_gemma":[0.000001347943,0.0000034465932,0.000022622817,7.3944557e-7,0.0000014156435,0.000001670583,0.0000019042719,0.9992105,0.00002843293,0.00063501403,0.0000920657,8.3655704e-7],"about_ca_topic_score_codex":0.009952428,"about_ca_topic_score_gemma":0.0052006077,"teacher_disagreement_score":0.009952428,"about_ca_system_score_codex":0.0011400443,"about_ca_system_score_gemma":0.00090767164,"threshold_uncertainty_score":0.01978898},"labels":[],"label_agreement":null},{"id":"W2084833134","doi":"10.1115/detc2011-48536","title":"Sustainable Vehicle Design for Transportation System: A Technical and Social System of System Based Approach","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Windsor","funders":"","keywords":"Sociotechnical system; Context (archaeology); Sustainable development; Computer science; Systems design; Turbine; Wind power; System dynamics; Systems engineering; Engineering; Engineering management; Knowledge management","score_opus":0.012823272526865825,"score_gpt":0.1787451353943938,"score_spread":0.16592186286752797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084833134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010885916,0.0052746832,0.79326904,0.021023232,0.00080594356,0.00019834304,0.00011934594,0.00016511178,0.16825844],"genre_scores_gemma":[0.72771955,0.008937518,0.21764076,0.0020669843,0.00071944325,0.00082018407,0.00014740428,0.00013658956,0.04181162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839526,0.00089452084,0.000054705815,0.00014391154,0.00040280167,0.0001087763],"domain_scores_gemma":[0.99920255,0.00034394144,0.000061504026,0.00007511344,0.00023866743,0.00007821288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967301,0.0008583398,0.0006085957,0.00163282,0.0016627786,0.0042810286,0.0012223986,0.0021885806,0.0046082204],"category_scores_gemma":[0.0012551466,0.0003378256,0.00083800533,0.0011584758,0.006675682,0.0030649956,0.0024742784,0.001998114,0.0006130975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024109415,0.000010590978,0.00014581725,0.000082904975,0.000010711479,0.00006280074,0.00029446147,0.009247639,0.0002091002,0.98426765,0.0011843479,0.0044816276],"study_design_scores_gemma":[0.000008552186,0.00005208064,0.00018374673,0.00009859482,0.00001671093,0.00012175973,0.000725978,0.021675644,0.00024784327,0.90886325,0.06798706,0.000018718601],"about_ca_topic_score_codex":0.002991206,"about_ca_topic_score_gemma":0.003453555,"teacher_disagreement_score":0.004957329,"about_ca_system_score_codex":0.004957329,"about_ca_system_score_gemma":0.0042034253,"threshold_uncertainty_score":0.035968125},"labels":[],"label_agreement":null},{"id":"W2085209749","doi":"10.1109/itec.2013.6573508","title":"A test bed to monitor smart grid power quality","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Mohawk College","funders":"McMaster University","keywords":"Harmonics; Renewable energy; Smart grid; Automotive engineering; Computer science; Grid; Electrical engineering; Transformer; Electric power system; Reliability engineering; Engineering; Power (physics); Voltage","score_opus":0.0054636776399955254,"score_gpt":0.21483544094595985,"score_spread":0.20937176330596433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085209749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7193577,0.00051472103,0.24905246,0.00028724692,0.00036728193,0.0025685236,0.0041347737,0.011429937,0.012287396],"genre_scores_gemma":[0.92493457,0.00022866382,0.060777355,0.00019657386,0.000037846232,0.0012764679,0.0030350736,0.00021262204,0.009300829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990901,0.00019626555,0.00005983502,0.00012464613,0.00042755654,0.0001016944],"domain_scores_gemma":[0.99831843,0.0003322983,0.00014280419,0.0003325015,0.00066251814,0.00021146555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064602715,0.00106394,0.0007863891,0.0010067136,0.0004481637,0.00056396343,0.0015820934,0.00078188186,0.00529632],"category_scores_gemma":[0.0010247296,0.00033250154,0.00037589646,0.00056011544,0.00029567283,0.0006701289,0.0006025571,0.00047595342,0.0021319725],"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":[0.0025446005,0.0037780437,0.024818236,0.00086756016,0.0001767853,0.001325498,0.00039463388,0.03152719,0.75779617,0.0021066458,0.011485465,0.16317926],"study_design_scores_gemma":[0.00065131247,0.02135956,0.030427648,0.000073107716,0.00019563484,0.0011758414,0.00037892966,0.14647263,0.76964396,0.0011261121,0.02837991,0.00011542158],"about_ca_topic_score_codex":0.0014858539,"about_ca_topic_score_gemma":0.0016222117,"teacher_disagreement_score":0.00529632,"about_ca_system_score_codex":0.00040914756,"about_ca_system_score_gemma":0.00043911504,"threshold_uncertainty_score":0.017717957},"labels":[],"label_agreement":null},{"id":"W2086870088","doi":"10.1109/tpwrs.2014.2362653","title":"Uncertainties of EV Charging and Effects on Well-Being Analysis of Generating Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"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 Saskatchewan","funders":"","keywords":"Punctuality; Vehicle-to-grid; Reliability engineering; Electric power system; Reliability (semiconductor); Grid; Automotive engineering; Electric vehicle; Computer science; Engineering; Power (physics); Transport engineering","score_opus":0.0030821324443265365,"score_gpt":0.18363827188028178,"score_spread":0.18055613943595525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086870088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8792881,0.00029041374,0.11531788,0.00020861022,0.00002027555,0.00003078571,0.00015237337,0.00004277961,0.004648867],"genre_scores_gemma":[0.9989397,0.000043971722,0.00087014254,0.000003797052,0.0000029515206,0.000003612246,0.000018649684,0.0000018409105,0.00011522816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939585,0.00032803003,0.00002743483,0.00007561841,0.00009901412,0.000074132564],"domain_scores_gemma":[0.996046,0.0030651859,0.0004667712,0.00013164316,0.0002189568,0.000071461356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013331623,0.0005750314,0.0003883883,0.00037880326,0.000243548,0.00087021024,0.0003406831,0.00042275403,0.0007804794],"category_scores_gemma":[0.0053364355,0.00016652777,0.0005454159,0.00032164683,0.00054718164,0.0010560689,0.00053992023,0.00054177456,0.000043219556],"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":[0.00016012051,0.00003214073,0.011961051,0.000040768224,0.0000647895,0.00019755262,0.00016129743,0.96958756,0.0013283468,0.008778589,0.00008865958,0.0075990646],"study_design_scores_gemma":[0.000003428991,0.00009019687,0.014232244,0.0000141259525,0.000033375996,0.000033098833,0.0002096698,0.97521067,0.0014508783,0.008511415,0.00018398266,0.000027012007],"about_ca_topic_score_codex":0.0026250666,"about_ca_topic_score_gemma":0.0016114058,"teacher_disagreement_score":0.0026250666,"about_ca_system_score_codex":0.00061925466,"about_ca_system_score_gemma":0.00030755447,"threshold_uncertainty_score":0.007050514},"labels":[],"label_agreement":null},{"id":"W2086878642","doi":"10.4000/vertigo.15635","title":"Les exercices de prospective énergétique à l’épreuve des mutations des modes de vie","year":2015,"lang":"fr","type":"article","venue":"VertigO","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.029777159546259497,"score_gpt":0.2620370028344324,"score_spread":0.23225984328817287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086878642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20334117,0.008628557,0.4928439,0.009083742,0.0009390395,0.00016497553,0.00056956173,0.00043521714,0.28399387],"genre_scores_gemma":[0.902276,0.0052131647,0.04496496,0.00055692,0.00016723813,0.0002087562,0.00027934238,0.00023212825,0.04610152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907136,0.00033907878,0.000038994596,0.00021030962,0.00021460779,0.00012560796],"domain_scores_gemma":[0.9983614,0.0007392592,0.00020507324,0.0002783801,0.00022322225,0.00019264921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014945037,0.0007005322,0.0005308416,0.00061140116,0.0013400652,0.0050152093,0.0013859365,0.001567888,0.015608722],"category_scores_gemma":[0.0045816563,0.000421218,0.0011328419,0.0006050726,0.0034465871,0.0053124875,0.0031208894,0.0028606388,0.0017894156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008521634,0.00006941022,0.0057823267,0.00036699625,0.00006950832,0.0003173169,0.0028635638,0.025421392,0.003932308,0.9109935,0.0022178788,0.04788052],"study_design_scores_gemma":[0.000036144378,0.0002134078,0.013291685,0.00061993697,0.00009580162,0.0006035896,0.0047247517,0.061050817,0.0033042596,0.79041827,0.12548772,0.00015359787],"about_ca_topic_score_codex":0.0039245975,"about_ca_topic_score_gemma":0.003659457,"teacher_disagreement_score":0.015608722,"about_ca_system_score_codex":0.0018801839,"about_ca_system_score_gemma":0.0024135238,"threshold_uncertainty_score":0.05221641},"labels":[],"label_agreement":null},{"id":"W2090555916","doi":"10.1109/tsg.2013.2293733","title":"Randomized PHEV Charging Under Distribution Grid Constraints","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Grid; Voltage drop; Schedule; Computer science; Demand response; Automotive engineering; Key (lock); Distributed generation; Voltage; Smart grid; Distributed computing; Engineering; Electrical engineering; Electricity; Renewable energy","score_opus":0.0065162017412578,"score_gpt":0.1980055229299615,"score_spread":0.1914893211887037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090555916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082841456,0.0003877426,0.90366906,0.00074325234,0.0001477155,0.000177153,0.0003527697,0.0006930352,0.010987759],"genre_scores_gemma":[0.9759454,0.000098527446,0.021250183,0.00009726031,0.000032542695,0.000068282345,0.000107407235,0.000051060506,0.0023493222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891627,0.00042620924,0.00003345031,0.00021356453,0.0001653413,0.00024518638],"domain_scores_gemma":[0.99771154,0.0015018478,0.00021757504,0.0001883327,0.0002483302,0.00013240136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125252,0.00078699,0.0011486865,0.00024684423,0.00039274408,0.0008536836,0.0012615277,0.00079841906,0.0041255294],"category_scores_gemma":[0.004546129,0.00038496728,0.0004188264,0.0005466114,0.0005729156,0.0013543313,0.0010534388,0.0010614702,0.00036100572],"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":[0.00017053436,0.000027847358,0.00023671113,0.00003880163,0.000012066897,0.000088045155,0.000011752301,0.9812533,0.0006140912,0.008973744,0.0013665785,0.0072065294],"study_design_scores_gemma":[0.00003128828,0.00002977774,0.00008144591,0.0000019664972,0.000003690313,0.000019312767,0.000009954329,0.99538237,0.00019852917,0.003935321,0.0003021633,0.000004088663],"about_ca_topic_score_codex":0.0030118737,"about_ca_topic_score_gemma":0.0033000484,"teacher_disagreement_score":0.0041255294,"about_ca_system_score_codex":0.00086175255,"about_ca_system_score_gemma":0.0009986374,"threshold_uncertainty_score":0.013801277},"labels":[],"label_agreement":null},{"id":"W2093122688","doi":"10.1109/isie.2014.6864854","title":"A superior hybrid fuel cell vehicle solution for congested urban areas","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; Queen's University","funders":"","keywords":"Automotive engineering; Battery (electricity); Internal combustion engine; Acceleration; Fuel efficiency; Miles per gallon gasoline equivalent; Driving cycle; Computer science; Hybrid vehicle; Battery electric vehicle; Power (physics); Green vehicle; Environmental science; Engineering; Electric vehicle","score_opus":0.004611725968018835,"score_gpt":0.17508856127281816,"score_spread":0.17047683530479932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093122688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5704916,0.0011932378,0.3864925,0.00034675578,0.00017184688,0.00015928563,0.0005933002,0.0014849603,0.03906644],"genre_scores_gemma":[0.9647571,0.00031670256,0.024235649,0.000032229254,0.000010723283,0.000026530537,0.0002220646,0.00002122204,0.010377892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999573,0.0000030533504,8.511887e-7,0.0000071565705,0.000020700403,0.00001085893],"domain_scores_gemma":[0.99997497,0.0000017613197,0.0000022713168,0.0000023159707,0.000014340426,0.000004335361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051466308,0.00026115298,0.00018611304,0.00021871598,0.00032950152,0.00034532137,0.00039805978,0.00026386173,0.0020433618],"category_scores_gemma":[0.00005849892,0.000073332914,0.000115391085,0.00022454523,0.00014098146,0.0002909975,0.00020556085,0.00013871084,0.00045638139],"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":[0.00027352225,0.00022432866,0.008184759,0.00038750665,0.00007102379,0.0009540967,0.00023500116,0.4000232,0.2376926,0.014401925,0.009018938,0.3285331],"study_design_scores_gemma":[0.000042168907,0.0005522096,0.005342044,0.00002849462,0.000043726326,0.00039035192,0.0004062691,0.8591357,0.074335165,0.0021911038,0.057493314,0.000039545925],"about_ca_topic_score_codex":0.019040499,"about_ca_topic_score_gemma":0.044127222,"teacher_disagreement_score":0.019040499,"about_ca_system_score_codex":0.00033160186,"about_ca_system_score_gemma":0.00047055492,"threshold_uncertainty_score":0.03785932},"labels":[],"label_agreement":null},{"id":"W2096290379","doi":"10.1109/tsg.2014.2303173","title":"Smart Charging of PEVs Penetrating Into Residential Distribution Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":119,"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 Waterloo","funders":"IBM Canada; ABB Corporate Research","keywords":"Smart grid; Probabilistic logic; Voltage; Automotive engineering; Electric vehicle; Computer science; Plug-in; Engineering; Reliability engineering; Power (physics); Simulation; Electrical engineering","score_opus":0.005276872840450345,"score_gpt":0.19577372260983544,"score_spread":0.1904968497693851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096290379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08033555,0.000098880155,0.91093725,0.00013378535,0.000024730578,0.000055792058,0.00010761033,0.00023222802,0.008074192],"genre_scores_gemma":[0.9854093,0.00015223486,0.010687752,0.000028755363,0.000014494656,0.000038911647,0.000056609413,0.000030046716,0.0035819411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973065,0.000096474614,0.000007714249,0.000048443308,0.00007695361,0.0000396654],"domain_scores_gemma":[0.9998647,0.000063126434,0.00002206505,0.000017307695,0.000026506863,0.0000062811428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026225732,0.00043969954,0.00050041074,0.00024791338,0.00030634293,0.00064612104,0.00064532785,0.00054308126,0.0018881003],"category_scores_gemma":[0.00075165875,0.00028783403,0.0004564366,0.0003495029,0.00045332892,0.0012992697,0.00043282806,0.0005386763,0.00019040478],"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":[0.000018809533,0.000010296479,0.00031865868,0.000013614469,0.000005744149,0.000047754445,0.000020144324,0.98667973,0.001076196,0.0071478104,0.00017951787,0.0044817557],"study_design_scores_gemma":[0.000002206682,0.000011942049,0.00011380419,0.0000012532782,0.0000019558397,0.000012467034,0.000010764323,0.9967615,0.00020058124,0.0025189782,0.00036279202,0.0000017035808],"about_ca_topic_score_codex":0.0059457854,"about_ca_topic_score_gemma":0.004884432,"teacher_disagreement_score":0.0059457854,"about_ca_system_score_codex":0.00070955546,"about_ca_system_score_gemma":0.00049090653,"threshold_uncertainty_score":0.011822343},"labels":[],"label_agreement":null},{"id":"W2099785405","doi":"10.1109/vppc.2009.5289754","title":"Optimal design of a parallel Hybrid Electric Vehicle using multi-objective genetic algorithms","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Powertrain; Sizing; Automotive engineering; Fuel efficiency; Genetic algorithm; Component (thermodynamics); Computer science; Set (abstract data type); Optimal design; Electric vehicle; Pareto principle; Pareto optimal; Mathematical optimization; Engineering; Power (physics); Torque; Mathematics","score_opus":0.013268051537410014,"score_gpt":0.2231085152903485,"score_spread":0.2098404637529385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099785405","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096516125,0.0004612775,0.8888145,0.00029935685,0.00007415338,0.00016370512,0.000090103924,0.00036456576,0.013216264],"genre_scores_gemma":[0.7849455,0.00034316338,0.20833594,0.00009506847,0.00003297183,0.00044827213,0.00011576116,0.000062966596,0.005620445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998549,0.0000448107,0.000005014305,0.000029899706,0.000040786716,0.000024522644],"domain_scores_gemma":[0.999765,0.00011546379,0.00003978037,0.000009847056,0.000053809654,0.00001611046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052083516,0.00086651504,0.0007041898,0.00061918504,0.00043216677,0.00077165343,0.0005966108,0.00094554876,0.001704191],"category_scores_gemma":[0.0008769158,0.0005568797,0.0006388467,0.00042997772,0.0005324422,0.00042452163,0.0005162093,0.00045379633,0.00020991571],"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":[0.0000127721,0.000010936408,0.0000876372,0.000013626204,0.000009298229,0.000019000088,0.0000066233865,0.9944946,0.0004407953,0.0007107758,0.00007959226,0.004114267],"study_design_scores_gemma":[0.000012568278,0.0000192539,0.000041629413,0.0000022296083,0.0000049211467,0.000003992798,0.000005389294,0.99880743,0.00015164787,0.00075542904,0.00019361163,0.000001887306],"about_ca_topic_score_codex":0.006518474,"about_ca_topic_score_gemma":0.0055386517,"teacher_disagreement_score":0.006518474,"about_ca_system_score_codex":0.0007093019,"about_ca_system_score_gemma":0.0013311045,"threshold_uncertainty_score":0.01296109},"labels":[],"label_agreement":null},{"id":"W2102577252","doi":"10.1109/nof.2015.7333288","title":"A review of OSI-based charging standards and eMobility open protocols","year":2015,"lang":"en","type":"review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Roaming; Powertrain; OSI model; Computer science; Battery (electricity); Communications protocol; Computer network; Telecommunications; Plug-in; Interconnection; Electrical engineering; Power (physics); Engineering","score_opus":0.04994072101358873,"score_gpt":0.38193423664741344,"score_spread":0.33199351563382473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102577252","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066136994,0.9750158,0.0059076278,0.00088928157,0.00090918684,0.00005600555,0.00013283246,0.00007150858,0.016356355],"genre_scores_gemma":[0.003996413,0.98616713,0.004808372,0.00049104076,0.00043093064,0.000071625334,0.0002628971,0.000029380177,0.0037422148],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987992,0.00016025432,0.0002195704,0.00016158778,0.00056727434,0.00009215331],"domain_scores_gemma":[0.9978005,0.001091396,0.00023046622,0.00011466444,0.00070564175,0.00005731186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018870798,0.0011730208,0.0010279572,0.0042980816,0.0006122584,0.0018646322,0.001613026,0.0015697568,0.0052970387],"category_scores_gemma":[0.00394456,0.0005717992,0.0007535288,0.005524791,0.00078282534,0.0038388877,0.0011604495,0.0016335953,0.0033632258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047941638,0.00009430205,0.00030394222,0.016379107,0.000043517477,0.00019436059,0.00017131647,0.0010887746,0.0018699837,0.038962085,0.026809882,0.91403484],"study_design_scores_gemma":[0.000005138454,0.000056628505,0.000314525,0.0041867527,0.000058332946,0.0005423792,0.00011012515,0.00024401779,0.0011874114,0.0048423302,0.9884255,0.000026808637],"about_ca_topic_score_codex":0.0019121206,"about_ca_topic_score_gemma":0.0014635093,"teacher_disagreement_score":0.0052970387,"about_ca_system_score_codex":0.001180734,"about_ca_system_score_gemma":0.0031796393,"threshold_uncertainty_score":0.017720342},"labels":[],"label_agreement":null},{"id":"W2106331421","doi":"10.5151/engpro-simea2014-80","title":"A INTEGRAÇÃO DOS SISTEMAS STOP Andamp; START E AQUECIMENTO DE COMBUSTÍVEL","year":2014,"lang":"pt","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Physics; Humanities; Political science; Philosophy","score_opus":0.008758552759083956,"score_gpt":0.21542331630237102,"score_spread":0.20666476354328706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106331421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17710447,0.004922867,0.5105134,0.002260819,0.0009573842,0.002100257,0.00276055,0.041622266,0.2577579],"genre_scores_gemma":[0.6976278,0.0021477318,0.11050029,0.0010289744,0.0002433836,0.00079278776,0.0022769326,0.0015149441,0.18386713],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979831,0.00018460731,0.00012204194,0.0005064892,0.0010159505,0.0001877134],"domain_scores_gemma":[0.99771774,0.0004275609,0.00025414856,0.00045557957,0.0009067923,0.00023818963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013383338,0.0011395622,0.00090205594,0.001621421,0.0013543037,0.0028938514,0.001804177,0.0011665457,0.024122495],"category_scores_gemma":[0.0023037756,0.000795263,0.00075765094,0.0011190604,0.0011676596,0.002301105,0.0024880192,0.0011498453,0.009132085],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019292784,0.0008045919,0.029163577,0.0028139798,0.00020857342,0.0012849369,0.0035947566,0.01468478,0.11410185,0.03682206,0.040692814,0.7538988],"study_design_scores_gemma":[0.0002737884,0.0014529136,0.029239014,0.000784726,0.00041728804,0.001516219,0.0012283764,0.06166997,0.10706232,0.013528541,0.782488,0.00033880334],"about_ca_topic_score_codex":0.012950805,"about_ca_topic_score_gemma":0.013790883,"teacher_disagreement_score":0.024122495,"about_ca_system_score_codex":0.0013744497,"about_ca_system_score_gemma":0.0025718343,"threshold_uncertainty_score":0.080697834},"labels":[],"label_agreement":null},{"id":"W2111455845","doi":"10.1149/06403.0011ecst","title":"(Plenary) FCEV Development at Nissan","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Penetration (warfare); Automotive engineering; Engineering; Materials science; Operations research","score_opus":0.0043150273087695975,"score_gpt":0.1680937435447472,"score_spread":0.16377871623597762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111455845","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15675764,0.020657504,0.026805706,0.02790922,0.011726831,0.00073299196,0.0029265457,0.0022738636,0.75020957],"genre_scores_gemma":[0.2675351,0.0063132094,0.008595775,0.0016438196,0.0007287716,0.00013847016,0.0029540593,0.0003494166,0.71174145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945325,0.00005133931,0.00001686001,0.000089005334,0.0002594803,0.00013005262],"domain_scores_gemma":[0.9993166,0.000045292032,0.000019377529,0.000053367927,0.00040083376,0.00016453801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010830243,0.00043468436,0.00021299861,0.0006034243,0.0008122366,0.0012492673,0.0006181196,0.0010759501,0.040807765],"category_scores_gemma":[0.0007085655,0.00012630464,0.00024992522,0.0003718951,0.00032179404,0.0010422092,0.0010615132,0.0009956482,0.0116326045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006221271,0.00030320557,0.0066970433,0.00092984946,0.000039297393,0.0014238926,0.0012753567,0.0048386613,0.0756219,0.027182117,0.25395525,0.62711126],"study_design_scores_gemma":[0.000016398068,0.000293803,0.006079411,0.000091997674,0.000010412198,0.0003749782,0.0005475194,0.0011474644,0.02530687,0.0012607252,0.9648487,0.000021686526],"about_ca_topic_score_codex":0.0051094783,"about_ca_topic_score_gemma":0.007601084,"teacher_disagreement_score":0.040807765,"about_ca_system_score_codex":0.0016135135,"about_ca_system_score_gemma":0.0022767542,"threshold_uncertainty_score":0.13651556},"labels":[],"label_agreement":null},{"id":"W2112035189","doi":"10.3390/en8053978","title":"Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Natural Resources Canada","keywords":"Electricity; Electricity generation; Capital cost; Penetration (warfare); Automotive engineering; Environmental economics; Coal; Environmental science; Engineering; Waste management; Operations research; Power (physics); Electrical engineering; Economics","score_opus":0.03284576728594308,"score_gpt":0.23975108550734175,"score_spread":0.20690531822139868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112035189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2065685,0.0036337443,0.68850696,0.0025479202,0.00044516407,0.00059075304,0.0056494395,0.00064020103,0.09141737],"genre_scores_gemma":[0.93100995,0.001099731,0.034665864,0.0001687694,0.000060935825,0.00065511686,0.0013911146,0.000078135694,0.030870453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.00021197517,0.000018066235,0.00008429554,0.0000765329,0.00011709016],"domain_scores_gemma":[0.9990982,0.0005859919,0.0000928139,0.00001841323,0.00013825511,0.00006632427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010330825,0.0012795043,0.0013023857,0.00071656215,0.0006886803,0.0018463755,0.0017951508,0.0021140259,0.006984108],"category_scores_gemma":[0.0018758427,0.0012064294,0.0011639865,0.0012476548,0.00068407453,0.00076253474,0.00090358837,0.0017645311,0.0005091361],"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":[0.000024466906,0.000009002349,0.00020894044,0.00002071841,0.000015097219,0.00005787703,0.0000124599765,0.996795,0.000064966865,0.0017021814,0.00026364805,0.0008255307],"study_design_scores_gemma":[0.000011547308,0.000012663079,0.00019369653,0.000006533388,0.000010483755,0.0000069895364,0.000018606246,0.99851185,0.00003123064,0.0007357064,0.00045592504,0.000004794703],"about_ca_topic_score_codex":0.075523876,"about_ca_topic_score_gemma":0.06605478,"teacher_disagreement_score":0.075523876,"about_ca_system_score_codex":0.0027287158,"about_ca_system_score_gemma":0.0030651458,"threshold_uncertainty_score":0.1501686},"labels":[],"label_agreement":null},{"id":"W2112249538","doi":"10.1109/tie.2009.2025711","title":"Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":315,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Electricity; Grid; Automotive engineering; Electric power transmission; Electricity generation; Transmission (telecommunications); Plug-in; Vehicle-to-grid; Engineering; Environmental science; Computer science; Power (physics); Electrical engineering; Electric vehicle","score_opus":0.0161980379355615,"score_gpt":0.1936108555201443,"score_spread":0.17741281758458277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112249538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87335765,0.0011998472,0.04190412,0.002611349,0.00008402746,0.00041363356,0.0041831145,0.00022693322,0.07601942],"genre_scores_gemma":[0.9920765,0.00020923247,0.0027176219,0.000048396298,0.0000044318303,0.000027515409,0.00034682985,0.00001369775,0.004555761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974877,0.00004611199,0.0000052996256,0.000028564658,0.00004502212,0.00012629668],"domain_scores_gemma":[0.9997969,0.00005805997,0.00002206709,0.0000048786533,0.000073231284,0.00004497266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034871046,0.0005324848,0.0004420775,0.00038283112,0.0010703574,0.0017948613,0.000798448,0.0006826161,0.004115865],"category_scores_gemma":[0.001020901,0.0005362473,0.00041557656,0.0006030316,0.0005400924,0.0008979517,0.00052789133,0.0004250035,0.00021302074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014916838,0.00002331673,0.0033563704,0.000054861957,0.000020105877,0.00016938121,0.000065220745,0.98469794,0.0005591774,0.004472206,0.0020419557,0.00439034],"study_design_scores_gemma":[0.000075426,0.0000506853,0.006601018,0.000022543218,0.000038918213,0.000025923338,0.00056270265,0.9857355,0.00041215797,0.0028832362,0.0035704558,0.000021575914],"about_ca_topic_score_codex":0.91312945,"about_ca_topic_score_gemma":0.9481985,"teacher_disagreement_score":0.08687055,"about_ca_system_score_codex":0.015807431,"about_ca_system_score_gemma":0.017642273,"threshold_uncertainty_score":0.17476428},"labels":[],"label_agreement":null},{"id":"W2112842721","doi":"10.1088/1748-9326/8/1/014045","title":"Connecting plug-in vehicles with green electricity through consumer demand","year":2013,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electricity; Business; Purchasing; Renewable energy; Respondent; Consumer behaviour; Environmental economics; Marketing; Economics; Engineering","score_opus":0.011504797387297082,"score_gpt":0.22890551586227026,"score_spread":0.21740071847497316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112842721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.941096,0.00013821885,0.0046827532,0.0017903412,0.000027073642,0.00009587745,0.0010369301,0.000063525484,0.051069364],"genre_scores_gemma":[0.994443,0.00007595337,0.0014782498,0.0001837249,0.000012446246,0.00004427981,0.0003677169,0.000010326057,0.0033843073],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871206,0.0005753334,0.000041081126,0.00014542372,0.00039150703,0.00013465322],"domain_scores_gemma":[0.99481106,0.0029597678,0.00085890986,0.00029893077,0.00074963004,0.00032163181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011261045,0.00018916774,0.00017197692,0.00065573317,0.00035427604,0.002564798,0.00042427206,0.0006565008,0.015452457],"category_scores_gemma":[0.0063001835,0.00026632322,0.00041949394,0.00095791713,0.00044673844,0.0022912398,0.0010783,0.0006887915,0.0017115893],"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":[0.0002441709,0.0007470553,0.90739584,0.00016468149,0.00008748737,0.0002240375,0.002309158,0.0044089677,0.0019575248,0.011602713,0.006882301,0.06397605],"study_design_scores_gemma":[0.00009341514,0.00059535087,0.847739,0.00016722325,0.0001015199,0.0005510939,0.017632082,0.044340264,0.00286441,0.016287351,0.06949002,0.00013827116],"about_ca_topic_score_codex":0.0067616957,"about_ca_topic_score_gemma":0.0077188406,"teacher_disagreement_score":0.015452457,"about_ca_system_score_codex":0.0009522616,"about_ca_system_score_gemma":0.00045473728,"threshold_uncertainty_score":0.05169356},"labels":[],"label_agreement":null},{"id":"W2113351098","doi":"10.1109/iwcmc.2011.5982648","title":"Management of PHEV batteries in the smart grid: Towards a cyber-physical power infrastructure","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":51,"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 Ottawa","funders":"","keywords":"Smart grid; Renewable energy; Automotive engineering; Energy storage; Computer science; Electrical engineering; Energy management; Engineering; Power (physics); Energy (signal processing)","score_opus":0.006265052704855548,"score_gpt":0.19208703682429007,"score_spread":0.1858219841194345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113351098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15100019,0.0034947041,0.8068152,0.002693841,0.0003649236,0.00017548903,0.00018799808,0.0010046546,0.03426287],"genre_scores_gemma":[0.9779774,0.0007569069,0.017552713,0.0001440694,0.000040157545,0.000047125486,0.000053481406,0.000022007645,0.0034062176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999801,0.00006176228,0.000009206218,0.00003683376,0.000060968727,0.000030268473],"domain_scores_gemma":[0.9998661,0.000031249325,0.000018166398,0.000023802953,0.000044075925,0.0000166296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843544,0.00030150902,0.00042635846,0.00014997576,0.00038075866,0.0013215321,0.0009089278,0.00075563963,0.0015842693],"category_scores_gemma":[0.0003415706,0.00015304361,0.00027613156,0.0002705978,0.0004918986,0.0023463962,0.0008428796,0.0004886022,0.00037591474],"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":[0.00027679338,0.00018799157,0.007101433,0.00056427735,0.00009446907,0.0014211754,0.0004469701,0.66256243,0.028349908,0.103206076,0.009411272,0.18637721],"study_design_scores_gemma":[0.00003559195,0.00013432954,0.0006688724,0.000041759336,0.0000281504,0.0002872661,0.00023298885,0.9420401,0.0071911784,0.030523427,0.018795686,0.000020667008],"about_ca_topic_score_codex":0.0014927399,"about_ca_topic_score_gemma":0.0015673297,"teacher_disagreement_score":0.0015842693,"about_ca_system_score_codex":0.0003738589,"about_ca_system_score_gemma":0.00045668555,"threshold_uncertainty_score":0.005299866},"labels":[],"label_agreement":null},{"id":"W2114942649","doi":"10.1109/itec.2012.6243464","title":"Microgrid and transportation electrification: A review","year":2012,"lang":"en","type":"review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electrification; Microgrid; Electric vehicle; Sustainability; Smart grid; Computer science; Grid; Distributed generation; Environmental economics; Electricity; Risk analysis (engineering); Engineering; Electrical engineering; Business; Renewable energy; Power (physics); Economics","score_opus":0.01694165324644318,"score_gpt":0.25024776611233546,"score_spread":0.23330611286589228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114942649","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022002809,0.9974137,0.00025328388,0.00019841989,0.00020088731,0.0000064761866,0.000018297706,0.000008122516,0.0016808376],"genre_scores_gemma":[0.0011225756,0.99765104,0.0002893165,0.00009100215,0.00017105165,0.000005649344,0.00003242551,0.0000018328252,0.0006349652],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998078,0.00003053076,0.00003229233,0.00003665477,0.00007482516,0.000017926914],"domain_scores_gemma":[0.99942636,0.00025335798,0.00008864208,0.00001559308,0.00017825399,0.000037814345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042696096,0.001091869,0.0013256922,0.0021484618,0.00030441355,0.0010809617,0.0008866772,0.0011826245,0.0050005047],"category_scores_gemma":[0.000683112,0.00035826155,0.00050821755,0.0037517068,0.0003525542,0.0016035257,0.0005547719,0.00092931057,0.0022965556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059128495,0.000106924505,0.00036109763,0.028173449,0.000101009486,0.00038430945,0.00009530391,0.0012476147,0.001254259,0.0044598305,0.029821312,0.9339358],"study_design_scores_gemma":[0.000011406649,0.00012380732,0.0009939393,0.005667899,0.00015226047,0.0016791812,0.00013639485,0.00024513243,0.0005501327,0.0020777145,0.9883357,0.000026467384],"about_ca_topic_score_codex":0.001857142,"about_ca_topic_score_gemma":0.0024737348,"teacher_disagreement_score":0.0050005047,"about_ca_system_score_codex":0.00047209827,"about_ca_system_score_gemma":0.0013537182,"threshold_uncertainty_score":0.016728342},"labels":[],"label_agreement":null},{"id":"W2115341585","doi":"10.1109/iscc.2011.5983871","title":"Communication-based Plug-In Hybrid Electrical Vehicle load management in the smart grid","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":40,"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 Ottawa","funders":"","keywords":"Smart grid; Computer science; Demand response; Resilience (materials science); Grid; Provisioning; Energy management; Load balancing (electrical power); Load management; Energy management system; Automotive engineering; Computer network; Electricity; Engineering; Electrical engineering; Energy (signal processing)","score_opus":0.009341756605240921,"score_gpt":0.19332660409409438,"score_spread":0.18398484748885346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115341585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.746513,0.0003819686,0.2286533,0.00070727,0.00019387997,0.00017749109,0.0002650336,0.0013091993,0.021798762],"genre_scores_gemma":[0.99693274,0.00003811774,0.002094247,0.0000177877,0.000003856204,0.000019921734,0.00001905112,0.000006311169,0.0008680329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997681,0.00008461614,0.000009233207,0.000030720144,0.000050455634,0.00005699994],"domain_scores_gemma":[0.9997441,0.00010632338,0.000045465247,0.000029610206,0.000050890216,0.000023696546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030567954,0.0003454603,0.00038685199,0.00030332254,0.00035515308,0.0004900694,0.0006540029,0.00049804454,0.0019844698],"category_scores_gemma":[0.00041279104,0.00014634614,0.00030794236,0.000309773,0.00051734294,0.00078164204,0.0005461284,0.000363808,0.00016374083],"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":[0.000092091905,0.000054347853,0.0008207929,0.000023576999,0.000011261421,0.00008363373,0.000032614575,0.9894712,0.00135395,0.002915398,0.00038633397,0.004754845],"study_design_scores_gemma":[0.000013582363,0.00003853443,0.00018141537,0.0000013772268,0.000003491321,0.000010555241,0.000012610509,0.9981831,0.0005580233,0.00071275333,0.00028180925,0.0000027598244],"about_ca_topic_score_codex":0.008839531,"about_ca_topic_score_gemma":0.0056146425,"teacher_disagreement_score":0.008839531,"about_ca_system_score_codex":0.0006403533,"about_ca_system_score_gemma":0.00042570475,"threshold_uncertainty_score":0.017576158},"labels":[],"label_agreement":null},{"id":"W2117941754","doi":"10.1108/13555850010764677","title":"Travel agents’ attitudes towards automation and the delivery of service","year":2000,"lang":"en","type":"article","venue":"Asia Pacific Journal of Marketing and Logistics","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Automation; Exploratory research; Business; Marketing; Service (business); Service delivery framework; Advertising; Knowledge management; Computer science; Sociology; Engineering; Social science","score_opus":0.008911900243856933,"score_gpt":0.2042235158234903,"score_spread":0.19531161557963336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117941754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567705,0.000047868136,0.00006713068,0.000120725905,0.0000019523075,0.000003854378,0.000006730482,0.0000012386163,0.0040735756],"genre_scores_gemma":[0.9991799,0.00006359385,0.000042625117,0.000029448449,0.0000018028095,0.0000016611936,0.0000091370175,5.3829416e-7,0.00067119737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995436,0.00015970266,0.000020070487,0.00002120327,0.00018000294,0.00007545309],"domain_scores_gemma":[0.99597436,0.0014338136,0.0011758729,0.00010953971,0.0007300332,0.00057635276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007088184,0.00008929806,0.0000735712,0.0004628164,0.0009786875,0.0017306232,0.000117100426,0.00035793995,0.0023963682],"category_scores_gemma":[0.0045428583,0.0000895135,0.0001557707,0.0003840703,0.00076904596,0.0006659276,0.0003513391,0.0005747067,0.0002643908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025737617,0.0005048431,0.8668288,0.000057195117,0.000046833215,0.00045316445,0.09442156,0.00048357065,0.0014617274,0.0016928738,0.0009401657,0.03285184],"study_design_scores_gemma":[0.00001446457,0.0004641435,0.89934844,0.00003667493,0.00003859529,0.00032814042,0.08728525,0.0010729216,0.0004708937,0.00035381468,0.010556228,0.000030443873],"about_ca_topic_score_codex":0.06861088,"about_ca_topic_score_gemma":0.07076537,"teacher_disagreement_score":0.06861088,"about_ca_system_score_codex":0.00103188,"about_ca_system_score_gemma":0.0005848096,"threshold_uncertainty_score":0.13642305},"labels":[],"label_agreement":null},{"id":"W2120478495","doi":"10.1109/epec.2013.6802945","title":"Accommodating high penetration of PEV in distribution networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"","keywords":"Penetration (warfare); Sorting; Mathematical optimization; Computer science; Integer programming; Distributed generation; Linear programming; Genetic algorithm; Nonlinear system; Distributed computing; Operations research; Engineering; Algorithm; Mathematics; Renewable energy; Electrical engineering","score_opus":0.00255536742830381,"score_gpt":0.163813605096234,"score_spread":0.16125823766793018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120478495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061036702,0.000156109,0.9334071,0.00014023755,0.00002032531,0.000057891146,0.000054024902,0.00024069105,0.0048868866],"genre_scores_gemma":[0.8535728,0.0001795283,0.1427732,0.000060444414,0.000014136205,0.00008623141,0.00009625591,0.000054149732,0.0031632425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997751,0.00007352458,0.0000070885426,0.0000419103,0.00005272545,0.00004977346],"domain_scores_gemma":[0.9997135,0.00015536402,0.00004468343,0.000015838259,0.00004645686,0.000024162371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044739112,0.00068243296,0.0005353017,0.00041284258,0.00047050833,0.0007346579,0.00071480044,0.00065082306,0.0012630394],"category_scores_gemma":[0.00092356466,0.0004223178,0.0003723229,0.00051335356,0.00028445502,0.0008187867,0.0005822709,0.0005903415,0.00016153132],"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":[0.000014428678,0.000013204599,0.00040390025,0.000017012231,0.000008462428,0.000054098902,0.000018165314,0.97893894,0.0011158055,0.0015135972,0.00019633306,0.017705975],"study_design_scores_gemma":[0.0000042671595,0.000021290776,0.00012154447,0.0000034846378,0.000004630549,0.000022430522,0.00001569298,0.996949,0.00076970266,0.0015248451,0.0005599826,0.0000031228703],"about_ca_topic_score_codex":0.0050418535,"about_ca_topic_score_gemma":0.0068107825,"teacher_disagreement_score":0.0050418535,"about_ca_system_score_codex":0.00062191894,"about_ca_system_score_gemma":0.0007146823,"threshold_uncertainty_score":0.010025024},"labels":[],"label_agreement":null},{"id":"W2121990058","doi":"10.24908/pceea.v0i0.3958","title":"REDUCING GLOBAL WARMING THROUGH ADVANCED VEHICLE DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Propulsion; Combustion; Miles per gallon gasoline equivalent; Automotive engineering; Fossil fuel; Global warming; Internal combustion engine; Environmental science; Range (aeronautics); Green vehicle; Battery electric vehicle; Fuel efficiency; Electric vehicle; Engineering; Power (physics); Waste management; Climate change; Aerospace engineering; Geology","score_opus":0.00841311223698183,"score_gpt":0.18939461219343715,"score_spread":0.18098149995645532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121990058","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04633288,0.007196026,0.8506152,0.001367994,0.0006997866,0.00022974054,0.00034645252,0.0015639141,0.091647975],"genre_scores_gemma":[0.8005565,0.007070206,0.14475457,0.000402545,0.00022121971,0.0002748245,0.00057608343,0.00020152795,0.04594258],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997657,0.000051906438,0.000008989689,0.000036429843,0.000099488614,0.000037557482],"domain_scores_gemma":[0.99985766,0.000015504027,0.000014899388,0.000016608237,0.00008358927,0.000011695064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033351683,0.0005878575,0.0003793882,0.0004958894,0.0002909115,0.00083801534,0.000951328,0.0007072132,0.0055115893],"category_scores_gemma":[0.00040156714,0.0001457234,0.0002981264,0.00040922815,0.00030490267,0.0008677958,0.0005697471,0.00038336762,0.0018218498],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021360817,0.00015887461,0.0021125986,0.00078508316,0.00007224821,0.00015157954,0.00013017718,0.28361553,0.05355896,0.08155269,0.014257307,0.5633914],"study_design_scores_gemma":[0.00010669211,0.0012444532,0.002589606,0.00024081669,0.0001465509,0.00044543232,0.0002981495,0.38154775,0.04018836,0.090752475,0.48235008,0.00008970677],"about_ca_topic_score_codex":0.0011772705,"about_ca_topic_score_gemma":0.0015900257,"teacher_disagreement_score":0.0055115893,"about_ca_system_score_codex":0.000428266,"about_ca_system_score_gemma":0.00052091584,"threshold_uncertainty_score":0.0184381},"labels":[],"label_agreement":null},{"id":"W2124213038","doi":"10.14355/ijes.2014.0404.02","title":"Wind Energy Based Packet Energy System","year":2014,"lang":"en","type":"article","venue":"International Journal of Energy Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Network packet; Wind power; Energy (signal processing); Environmental science; Marine engineering; Electrical engineering; Engineering; Computer science; Physics; Computer network","score_opus":0.0031867336598268075,"score_gpt":0.18939906117276017,"score_spread":0.18621232751293337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124213038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09862546,0.0011119288,0.8621386,0.00055344973,0.0006583812,0.00033797184,0.00065221457,0.0036088186,0.032313164],"genre_scores_gemma":[0.9459359,0.00077758514,0.03852508,0.0001541491,0.00009354218,0.00017684781,0.0005421119,0.00006137525,0.013733292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986184,0.00002559925,0.000013189912,0.000035182493,0.000043898213,0.000020297774],"domain_scores_gemma":[0.99989235,0.00002801277,0.000010204181,0.000017024031,0.000044695687,0.0000075893695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016053831,0.00027721995,0.00033838098,0.00021991353,0.00037571284,0.00078675675,0.00068261183,0.00037884174,0.003369771],"category_scores_gemma":[0.00028842132,0.00012406259,0.00020354493,0.0002828182,0.00018094336,0.0008370047,0.00037614736,0.00035738334,0.00074050843],"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":[0.0006989015,0.00033210262,0.0050666896,0.000585983,0.00014296154,0.0011721196,0.00016521585,0.5046899,0.047835838,0.061785694,0.018334229,0.35919046],"study_design_scores_gemma":[0.000066990884,0.00023711675,0.0010723107,0.000020933874,0.000043959848,0.00025820895,0.000039636016,0.95680225,0.009068402,0.008179452,0.02418798,0.000022766018],"about_ca_topic_score_codex":0.0009584558,"about_ca_topic_score_gemma":0.00093733106,"teacher_disagreement_score":0.003369771,"about_ca_system_score_codex":0.00028905337,"about_ca_system_score_gemma":0.0002830488,"threshold_uncertainty_score":0.0112730265},"labels":[],"label_agreement":null},{"id":"W2125866329","doi":"10.1109/tpwrd.2013.2283598","title":"Method to Assess the Power-Quality Impact of Plug-in Electric Vehicles","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonic; Plug-in; Power quality; Electric power system; Stray voltage; Voltage; Probabilistic logic; Automotive engineering; Engineering; Power (physics); Electric vehicle; Electrical engineering; Computer science","score_opus":0.015786236219186716,"score_gpt":0.279622255817233,"score_spread":0.26383601959804626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125866329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010043806,0.00010191577,0.98376393,0.000034062286,0.00003726461,0.0002049894,0.00035664358,0.0008838654,0.0045735766],"genre_scores_gemma":[0.5268907,0.0002776423,0.4658106,0.000060994313,0.000028732456,0.00081321405,0.0008249713,0.00023087894,0.0050623287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904007,0.00022926423,0.000031457537,0.00011820795,0.00055260665,0.00002836455],"domain_scores_gemma":[0.99909437,0.0003719043,0.00013388087,0.000119828204,0.00025863745,0.000021371518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092490186,0.0007617627,0.0004028973,0.001854651,0.00032312336,0.00050194067,0.0009448239,0.00051950116,0.005995244],"category_scores_gemma":[0.0034666527,0.00025469565,0.00049551565,0.0010220088,0.0002673454,0.000693854,0.00056737405,0.0005278018,0.001205871],"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":[0.00036964525,0.0003147,0.021098321,0.00060274743,0.00030130247,0.00023059563,0.0002365135,0.4621979,0.03510915,0.056440797,0.005641386,0.41745695],"study_design_scores_gemma":[0.00004042915,0.00017487835,0.0038747343,0.00003350774,0.00004449587,0.00027139677,0.00006793084,0.9697037,0.009332203,0.00844987,0.007963289,0.000043574448],"about_ca_topic_score_codex":0.0025186217,"about_ca_topic_score_gemma":0.0020349168,"teacher_disagreement_score":0.005995244,"about_ca_system_score_codex":0.00054500956,"about_ca_system_score_gemma":0.00066506595,"threshold_uncertainty_score":0.020056069},"labels":[],"label_agreement":null},{"id":"W2127203110","doi":"10.1115/detc2011-47960","title":"Optimal Hybridization of Battery, Engine and Motor for PHEV20","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Simon Fraser University","funders":"","keywords":"Powertrain; Automotive engineering; Driving cycle; Battery (electricity); Sizing; Dynamometer; Battery electric vehicle; Engineering; Computer science; Electric vehicle; Power (physics); Torque","score_opus":0.007563196412824076,"score_gpt":0.1736113493590996,"score_spread":0.16604815294627553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127203110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59789187,0.00042919078,0.3698836,0.00018254478,0.000058895865,0.00016859735,0.00019962044,0.00050626334,0.030679489],"genre_scores_gemma":[0.9435563,0.00006376357,0.053243835,0.000024612935,0.0000031087754,0.00010985107,0.00010669034,0.000049362035,0.0028424507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984944,0.000035154822,0.000003894891,0.000030512703,0.00004880196,0.000032233802],"domain_scores_gemma":[0.9999126,0.000039548,0.000012098173,0.0000074389245,0.000021030482,0.0000073821893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003090476,0.0006289659,0.00033093485,0.00044082158,0.0003191613,0.0005296579,0.00036143116,0.00043031335,0.002092641],"category_scores_gemma":[0.00052226713,0.00028887513,0.0005419215,0.0002817105,0.00023104667,0.0003738006,0.0004222552,0.00027285662,0.00021898703],"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":[0.000072116316,0.00006701708,0.0011916868,0.00008559297,0.000026948488,0.000087397166,0.000043658365,0.9467867,0.018509822,0.0018472609,0.00046823407,0.030813582],"study_design_scores_gemma":[0.00002515119,0.0002496778,0.0009519329,0.000009019464,0.000032185373,0.000040427833,0.000074229145,0.98331934,0.011414575,0.0016091643,0.0022612815,0.000013021365],"about_ca_topic_score_codex":0.0025273652,"about_ca_topic_score_gemma":0.0042404295,"teacher_disagreement_score":0.0025273652,"about_ca_system_score_codex":0.0007156081,"about_ca_system_score_gemma":0.00063644414,"threshold_uncertainty_score":0.0070005655},"labels":[],"label_agreement":null},{"id":"W2127364068","doi":"10.1109/pes.2009.5275315","title":"Environmental benefits of plug-in hybrid electric vehicles: The case of Alberta","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Electricity; Context (archaeology); Plug-in; Environmental economics; Automotive engineering; Wind power; Environmental science; Environmentally friendly; Electricity generation; Fuel efficiency; Renewable energy; Electric power system; Transport engineering; Engineering; Computer science; Power (physics); Electrical engineering","score_opus":0.0029130192442180397,"score_gpt":0.16808541042407724,"score_spread":0.16517239117985918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127364068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91474915,0.000614793,0.001177175,0.0010968245,0.000026627718,0.000044710912,0.0003042758,0.000026976642,0.081959546],"genre_scores_gemma":[0.9899121,0.00052192755,0.00050594984,0.000047352216,0.0000055921305,0.0000063239754,0.00010347588,0.0000042974843,0.008893104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995795,0.00006922952,0.000005637681,0.000023111204,0.00013606637,0.00018647904],"domain_scores_gemma":[0.9997024,0.00005788073,0.000018753955,0.0000139377935,0.00015740728,0.00004956314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032682533,0.00041154298,0.00022763816,0.0007420177,0.0029751572,0.0019658464,0.0011212849,0.0010030502,0.0022168106],"category_scores_gemma":[0.000501612,0.00016696469,0.0005152544,0.0015379032,0.0010953528,0.00054009084,0.0011257312,0.0005906516,0.00013024328],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017691043,0.001217721,0.13813516,0.0004956712,0.00025731785,0.033011083,0.0026051363,0.5962779,0.018086182,0.1087349,0.014294493,0.08511529],"study_design_scores_gemma":[0.00047532414,0.0008170277,0.2359692,0.00021199453,0.0006789297,0.002939117,0.050952,0.5543542,0.01589325,0.041506298,0.09573956,0.00046314305],"about_ca_topic_score_codex":0.9103682,"about_ca_topic_score_gemma":0.959634,"teacher_disagreement_score":0.089631796,"about_ca_system_score_codex":0.015209111,"about_ca_system_score_gemma":0.006887583,"threshold_uncertainty_score":0.18031925},"labels":[],"label_agreement":null},{"id":"W2128634936","doi":"10.1109/naps.2015.7335225","title":"A stochastic distribution operations framework to study the impact of PEV charging loads","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Minification; Automotive engineering; Computer science; Load profile; Electric vehicle; Power (physics); Voltage; Mathematical optimization; Engineering; Electricity; Electrical engineering; Mathematics","score_opus":0.013785836339267069,"score_gpt":0.2735964645284667,"score_spread":0.25981062818919964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128634936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073107113,0.00029881595,0.9850402,0.00036681944,0.00007032134,0.00004577673,0.00026258992,0.00008998792,0.0065148226],"genre_scores_gemma":[0.87826735,0.0020743331,0.09766727,0.0002720645,0.00033509184,0.00038770036,0.00069166557,0.00019895194,0.020105643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988324,0.00056108256,0.000042408603,0.0001651741,0.00023649832,0.00016248556],"domain_scores_gemma":[0.997846,0.0014579698,0.00025368622,0.000085339365,0.0002691246,0.000087855915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023120982,0.001912045,0.0010777937,0.0010564412,0.00049037056,0.0016242941,0.001667807,0.0013983333,0.0062988494],"category_scores_gemma":[0.0047747195,0.00068465894,0.001171062,0.0014783771,0.0008248538,0.0022179415,0.0011279812,0.002131365,0.00063367805],"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":[0.000013767308,0.000023180424,0.00032858952,0.00002774905,0.000023360559,0.0000886992,0.000020821784,0.9339566,0.00025800205,0.06138708,0.0007677913,0.003104337],"study_design_scores_gemma":[0.0000030652693,0.000012830017,0.00006517876,0.0000030318297,0.0000053099297,0.000019969757,0.000010865572,0.989195,0.000046760044,0.009948305,0.00068587356,0.0000037689006],"about_ca_topic_score_codex":0.011898103,"about_ca_topic_score_gemma":0.006642,"teacher_disagreement_score":0.011898103,"about_ca_system_score_codex":0.0015767097,"about_ca_system_score_gemma":0.0015040819,"threshold_uncertainty_score":0.02365768},"labels":[],"label_agreement":null},{"id":"W2136009788","doi":"10.1109/pes.2009.5275171","title":"On the suitability of plug-in hybrid electric vehicle (PHEV) charging infrastructures based on wind and solar energy","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sizing; Automotive engineering; Photovoltaic system; Renewable energy; Wind power; Plug-in; Electric vehicle; Solar energy; Computer science; Grid; Engineering; Environmental science; Electrical engineering; Power (physics)","score_opus":0.003044166825895757,"score_gpt":0.1731935284983689,"score_spread":0.17014936167247313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136009788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81570935,0.0052353665,0.038503036,0.0011009418,0.00011881069,0.0001610897,0.0002750039,0.00008226951,0.1388142],"genre_scores_gemma":[0.99352044,0.0017197953,0.0023260608,0.000032152424,0.00002351909,0.000014423142,0.000057988065,0.000008324189,0.0022972978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994968,0.00025762818,0.000013507804,0.00002874871,0.0001536761,0.00004957356],"domain_scores_gemma":[0.9985495,0.0011376614,0.00004955724,0.00003528817,0.00021318419,0.0000148092795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073625444,0.00023601044,0.0002065987,0.00037469846,0.0002830183,0.00091348804,0.00035713555,0.00051000726,0.003673774],"category_scores_gemma":[0.0031652418,0.000095506395,0.00019369571,0.00058701873,0.00027639445,0.00084698247,0.00026299196,0.0001608486,0.00039122417],"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":[0.004090469,0.00024959294,0.028375583,0.0018992447,0.00017554307,0.0040065707,0.00060446,0.4633801,0.03818435,0.06256839,0.007772164,0.3886935],"study_design_scores_gemma":[0.00024266103,0.0041206665,0.06494517,0.0008527522,0.0007007301,0.0032718275,0.0066933576,0.6912029,0.07908628,0.061738964,0.08696637,0.00017840392],"about_ca_topic_score_codex":0.002309338,"about_ca_topic_score_gemma":0.0035182172,"teacher_disagreement_score":0.003673774,"about_ca_system_score_codex":0.00051517313,"about_ca_system_score_gemma":0.0002183426,"threshold_uncertainty_score":0.012289941},"labels":[],"label_agreement":null},{"id":"W2137326093","doi":"10.1088/1748-9326/6/2/021001","title":"Shifting primary energy source and NO <sub> <i>x</i> </sub> emission location with plug-in hybrid vehicles","year":2011,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Greenhouse gas; Fossil fuel; Environmental science; Primary energy; Plug-in; Energy source; Hybrid power; Grid; Primary (astronomy); Power (physics); Automotive engineering; Computer science; Renewable energy; Engineering; Electrical engineering; Waste management; Physics; Operating system; Geography; Geology","score_opus":0.007099333596688133,"score_gpt":0.17785423132633282,"score_spread":0.1707548977296447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137326093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51385313,0.0068522138,0.16914585,0.016271554,0.0026091766,0.00011212488,0.00087569124,0.00028771415,0.2899925],"genre_scores_gemma":[0.96559715,0.002983037,0.0090532275,0.0011732613,0.00032178403,0.000032837812,0.00017955828,0.00008454195,0.020574713],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977726,0.000037941318,0.000007852704,0.000068945716,0.00007191022,0.000036183636],"domain_scores_gemma":[0.9997069,0.00010013516,0.00005753307,0.00003991285,0.00008251904,0.000012928057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001859417,0.00039514044,0.00023743008,0.00025363328,0.0003767519,0.0011682916,0.0006468866,0.00069974246,0.0068981946],"category_scores_gemma":[0.00060521415,0.00013165877,0.00032654317,0.0004919729,0.0007836829,0.0012489787,0.00069698715,0.00056941976,0.0010485686],"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":[0.0009605224,0.0005529165,0.06341272,0.001363208,0.00024573161,0.002513131,0.0020372404,0.031419724,0.16792338,0.3331057,0.020567967,0.37589774],"study_design_scores_gemma":[0.00008913936,0.00086059223,0.122301266,0.0003381376,0.00024387492,0.0028590078,0.012441237,0.024567937,0.16317771,0.34912175,0.3238314,0.00016788088],"about_ca_topic_score_codex":0.0032098696,"about_ca_topic_score_gemma":0.007962888,"teacher_disagreement_score":0.0068981946,"about_ca_system_score_codex":0.00069266284,"about_ca_system_score_gemma":0.0003512867,"threshold_uncertainty_score":0.023076773},"labels":[],"label_agreement":null},{"id":"W2139118661","doi":"10.1016/j.trd.2010.09.001","title":"Characterization of urban commuter driving profiles to optimize battery size in light-duty plug-in electric vehicles","year":2011,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"Manitoba Hydro; University of Winnipeg","keywords":"Electrification; Automotive engineering; Battery (electricity); Driving cycle; Renewable energy; Greenhouse gas; Duty cycle; Electricity; Plug-in; Battery capacity; Environmental science; Computer science; Transport engineering; Engineering; Electric vehicle; Power (physics); Voltage; Electrical engineering","score_opus":0.017103099723983883,"score_gpt":0.21728505253460673,"score_spread":0.20018195281062284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139118661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116945,0.000039297833,0.0077326517,0.000015283551,0.0000027526517,0.000019179632,0.00018028263,0.000090076646,0.0007510014],"genre_scores_gemma":[0.99861836,0.000017252427,0.0010111671,0.0000027928281,7.439566e-7,0.0000067090964,0.00014261677,0.00001049871,0.00018982006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995005,0.00001166797,0.0000029507412,0.000010937934,0.000015120918,0.000009274747],"domain_scores_gemma":[0.9997695,0.00007407616,0.000025254272,0.000018852877,0.00009371573,0.000018597055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250621,0.00022858426,0.00019940698,0.00036709735,0.00013401841,0.00029183796,0.00021692697,0.00014285363,0.00058625697],"category_scores_gemma":[0.00048129493,0.00010712348,0.00012006318,0.00031767867,0.000053744225,0.00018316737,0.000074959724,0.000084464475,0.00015610854],"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":[0.002919046,0.0010640207,0.24462418,0.00031936847,0.00013968712,0.0002583367,0.00054841075,0.229464,0.2911362,0.00086274446,0.0022200684,0.22644396],"study_design_scores_gemma":[0.000050035655,0.00080384564,0.26522937,0.000019375737,0.00009665959,0.00014760531,0.0006278778,0.60057575,0.12988912,0.00047764624,0.002040785,0.000041876545],"about_ca_topic_score_codex":0.0035250112,"about_ca_topic_score_gemma":0.008663572,"teacher_disagreement_score":0.0035250112,"about_ca_system_score_codex":0.00016873448,"about_ca_system_score_gemma":0.00024874063,"threshold_uncertainty_score":0.0070090294},"labels":[],"label_agreement":null},{"id":"W2142366700","doi":"10.1504/ijpse.2012.051028","title":"Risk-based performance analysis for regional hybrid fuel with compressed natural gas option","year":2012,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Compressed natural gas; Natural gas; Gasoline; Engineering; Process (computing); Transport engineering; Civil engineering; Environmental science; Environmental economics; Computer science; Waste management; Economics; Mechanical engineering","score_opus":0.005550036129626395,"score_gpt":0.20632592853722914,"score_spread":0.20077589240760274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142366700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8720491,0.00072238466,0.108919226,0.00041086745,0.000022390344,0.000100108366,0.00038799038,0.00015096161,0.01723707],"genre_scores_gemma":[0.9975454,0.000080641345,0.0011615743,0.00000729669,0.00000269704,0.000012402976,0.000056981262,0.000010023032,0.0011229616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939895,0.00024235426,0.000014720691,0.00006918132,0.00012520763,0.00014951533],"domain_scores_gemma":[0.99805,0.0012169408,0.00023596334,0.00007043983,0.00034172923,0.00008505137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817789,0.0011057436,0.0007577268,0.00094240723,0.000424101,0.0012613192,0.0010130738,0.0010817518,0.00270734],"category_scores_gemma":[0.0030838253,0.00031159044,0.0009996431,0.0005755051,0.0008669767,0.0010049677,0.0009433989,0.0007283811,0.00018409044],"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":[0.00009095925,0.000012848679,0.0008606191,0.0000151749455,0.000017874641,0.00007811307,0.000012250922,0.9951239,0.00076720375,0.001990572,0.00007020512,0.0009601688],"study_design_scores_gemma":[0.0000069248204,0.00008409859,0.00068510923,0.0000034519571,0.000016511487,0.000025731675,0.00003846248,0.9975515,0.00054537295,0.0009444572,0.00008910019,0.000009271729],"about_ca_topic_score_codex":0.025592174,"about_ca_topic_score_gemma":0.008320723,"teacher_disagreement_score":0.025592174,"about_ca_system_score_codex":0.0026041612,"about_ca_system_score_gemma":0.0010442621,"threshold_uncertainty_score":0.050886452},"labels":[],"label_agreement":null},{"id":"W2143426739","doi":"10.1109/epec.2009.5420904","title":"Analyzing the impacts of plug-in electric vehicles on distribution networks in British Columbia","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Monte Carlo method; Probabilistic logic; Plug-in; Transformer; Voltage; Peak demand; Automotive engineering; Power demand; Computer science; Distribution transformer; Simulation; On demand; Electric vehicle; Environmental science; Transport engineering; Electrical engineering; Engineering; Statistics; Electricity; Mathematics; Artificial intelligence","score_opus":0.0024972889944921794,"score_gpt":0.18033338581267644,"score_spread":0.17783609681818427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143426739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99428684,0.00005653018,0.0006853372,0.00012630639,0.0000037080663,0.000023814908,0.00021686006,0.000029628636,0.0045710015],"genre_scores_gemma":[0.9979546,0.000089097266,0.00023017562,0.000012680974,0.0000011147977,0.000006137887,0.00016865594,0.0000056018166,0.0015320241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996387,0.000095480915,0.000010077589,0.000034562203,0.00008961351,0.00013150042],"domain_scores_gemma":[0.99891543,0.00049792905,0.000087206245,0.00004160462,0.0003611821,0.00009675929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550534,0.00038906754,0.00024378007,0.0005753296,0.0009800821,0.0013496347,0.00083693484,0.0004652685,0.0017811261],"category_scores_gemma":[0.0023763597,0.0002804042,0.00019042005,0.0012165334,0.00063829136,0.0005782342,0.00049632986,0.00054186623,0.00013558516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019678625,0.00012688668,0.06896355,0.000041587977,0.00004615445,0.00091720704,0.00017926822,0.9132128,0.0017861812,0.0026717372,0.0014642898,0.01039362],"study_design_scores_gemma":[0.000035315064,0.000119761586,0.08731037,0.000015637108,0.000050729595,0.00013124794,0.0016787562,0.905392,0.0018451462,0.0017352871,0.0016555691,0.000030242836],"about_ca_topic_score_codex":0.8762709,"about_ca_topic_score_gemma":0.9016845,"teacher_disagreement_score":0.12372911,"about_ca_system_score_codex":0.01299429,"about_ca_system_score_gemma":0.0034847108,"threshold_uncertainty_score":0.2489155},"labels":[],"label_agreement":null},{"id":"W2143986848","doi":"10.1109/pesmg.2013.6672209","title":"Electric vehicle aggregator/system operator coordination for charging scheduling and services procurement","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"News aggregator; Software deployment; Scheduling (production processes); Electricity; Smart grid; Demand response; Electric power system; Procurement; Grid; Computer science; Operator (biology); Electric vehicle; Schedule; Electricity market; Automotive engineering; Operations research; Environmental economics; Business; Operations management; Electrical engineering; Engineering; Power (physics); Economics","score_opus":0.003678451872677758,"score_gpt":0.18056276691917467,"score_spread":0.1768843150464969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143986848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07725802,0.0028795635,0.55608624,0.004055403,0.0032193146,0.0017031,0.0029492434,0.0061441343,0.34570488],"genre_scores_gemma":[0.8125752,0.0016234741,0.062626235,0.00021662573,0.0006889405,0.00034032785,0.0020396307,0.00035116047,0.11953845],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992887,0.0002773211,0.00003221225,0.00009253408,0.0001980632,0.00011113232],"domain_scores_gemma":[0.9990159,0.00037924745,0.00008424132,0.00011352029,0.00033403674,0.000073022245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095932314,0.0006514088,0.00046273237,0.000382048,0.00058117445,0.0017599016,0.00081211195,0.0007458349,0.077170536],"category_scores_gemma":[0.0019023917,0.00022430449,0.0003119239,0.0007057394,0.000146475,0.0006256677,0.00051680475,0.00038356555,0.012218389],"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":[0.0011212766,0.00027897532,0.005634465,0.000621066,0.00012414178,0.00057025324,0.00015749139,0.2759061,0.013189498,0.03037841,0.16163392,0.5103844],"study_design_scores_gemma":[0.00016154093,0.00039584815,0.0044204006,0.00011090207,0.00013007317,0.00021778709,0.00028528422,0.73874956,0.011279988,0.0068152165,0.23737685,0.00005645206],"about_ca_topic_score_codex":0.005001513,"about_ca_topic_score_gemma":0.010716002,"teacher_disagreement_score":0.077170536,"about_ca_system_score_codex":0.001236922,"about_ca_system_score_gemma":0.0015974888,"threshold_uncertainty_score":0.2581612},"labels":[],"label_agreement":null},{"id":"W2144278408","doi":"10.1109/infcom.2012.6195538","title":"Towards optimal energy store-carry-and-deliver for PHEVs via V2G system","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Energy storage; Vehicle-to-grid; Electricity pricing; Grid; Electricity; Energy flow; Smart grid; Mathematical optimization; Electric vehicle; Battery (electricity); Automotive engineering; Energy (signal processing); Simulation; Real-time computing; Power (physics); Engineering; Electrical engineering; Electricity market; Mathematics","score_opus":0.005059364618180473,"score_gpt":0.1813415722359251,"score_spread":0.17628220761774463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144278408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043412056,0.0005530552,0.9469076,0.0006146528,0.00006783836,0.00009469471,0.00011889798,0.00023379148,0.007997461],"genre_scores_gemma":[0.9499349,0.00049301377,0.045407116,0.00019282877,0.00004978021,0.000112445574,0.000101023244,0.000063457446,0.0036453689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994771,0.00015681014,0.00002089873,0.00009676274,0.00010715256,0.00014144571],"domain_scores_gemma":[0.99920964,0.00043856818,0.00012173251,0.00003268269,0.00013616166,0.00006120173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000975073,0.0014433078,0.0015504785,0.00050776795,0.000571764,0.00173181,0.0011543663,0.0013106433,0.0024070595],"category_scores_gemma":[0.002267922,0.00068873307,0.0006589972,0.0007930139,0.0008275495,0.0012506745,0.0014279024,0.001197466,0.00036362768],"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":[0.00008253133,0.000054205957,0.0005219599,0.000088239474,0.000027565977,0.00010810264,0.00005856608,0.96290094,0.0026737908,0.017516164,0.001626026,0.014341913],"study_design_scores_gemma":[0.0000062129534,0.000023606068,0.000068299254,0.0000046694863,0.000004847946,0.000013618358,0.000025326675,0.9943382,0.0002610245,0.00494574,0.00030395942,0.0000045048673],"about_ca_topic_score_codex":0.0067854444,"about_ca_topic_score_gemma":0.004793902,"teacher_disagreement_score":0.0067854444,"about_ca_system_score_codex":0.0012121772,"about_ca_system_score_gemma":0.0017061472,"threshold_uncertainty_score":0.013491929},"labels":[],"label_agreement":null},{"id":"W2144980591","doi":"10.1145/2487166.2487178","title":"Distributed control of electric vehicle charging","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":108,"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 Waterloo","funders":"","keywords":"Computer science; Latency (audio); Smart grid; Electric vehicle; Grid; Broadband; Distributed computing; Control (management); Computer network; Engineering; Electrical engineering; Telecommunications","score_opus":0.002375505290311442,"score_gpt":0.16158354257629617,"score_spread":0.15920803728598473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144980591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03787824,0.00040416615,0.94972,0.00039695372,0.00028407038,0.00005387684,0.000037673053,0.0003515653,0.0108734835],"genre_scores_gemma":[0.98918486,0.00012884935,0.008249918,0.000034634482,0.000036541835,0.00004807403,0.000016730819,0.000014176058,0.0022862675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957234,0.00008985812,0.000018936273,0.00012474517,0.00012212955,0.000071987895],"domain_scores_gemma":[0.9990895,0.00045378774,0.00010829447,0.000054241995,0.000251403,0.00004278726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071592705,0.00057278643,0.0006710875,0.00028984234,0.0004961622,0.0012029754,0.00095785776,0.000584248,0.0015419158],"category_scores_gemma":[0.0027229334,0.00021011455,0.0002932649,0.000324854,0.0008362907,0.00048699338,0.00080148,0.000725201,0.000180214],"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":[0.00008411341,0.000038975275,0.00023405536,0.00003432501,0.000012442737,0.00005290622,0.00003599646,0.9664247,0.002429488,0.011810206,0.0005794832,0.018263279],"study_design_scores_gemma":[0.000016667396,0.000019546313,0.000043784778,0.0000016300071,0.0000023862954,0.000005641834,0.000003920194,0.997088,0.00028380018,0.0022303185,0.00030159968,0.0000026819812],"about_ca_topic_score_codex":0.005247688,"about_ca_topic_score_gemma":0.0028475123,"teacher_disagreement_score":0.005247688,"about_ca_system_score_codex":0.00087467185,"about_ca_system_score_gemma":0.0007308794,"threshold_uncertainty_score":0.01043427},"labels":[],"label_agreement":null},{"id":"W2145253790","doi":"10.1109/ccece.2011.6030662","title":"Management of PHEV charging from the smart grid using sensor web services","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Ottawa","funders":"","keywords":"Computer science; Smart grid; Grid; Plug-in; Energy management; Web service; Automotive engineering; Web application; State of charge; Power (physics); Energy (signal processing); Engineering; Operating system; Electrical engineering; World Wide Web; Battery (electricity)","score_opus":0.011594141671351183,"score_gpt":0.183825694140081,"score_spread":0.17223155246872981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145253790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3598773,0.0004470283,0.5923612,0.0010303805,0.00017023522,0.0005145892,0.00028262945,0.019633168,0.025683457],"genre_scores_gemma":[0.9746448,0.00011070374,0.020748612,0.0000941379,0.000026414002,0.00006590179,0.00015593442,0.00017025878,0.003983236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966085,0.00009319852,0.000025684576,0.00004278267,0.00012319864,0.00005415627],"domain_scores_gemma":[0.999542,0.00011825505,0.000049209375,0.00013098944,0.00009018025,0.000069366375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039720518,0.00035499415,0.00039585982,0.0003631145,0.0004890136,0.00084988924,0.000648064,0.00040946304,0.0018307501],"category_scores_gemma":[0.00097637513,0.00015204737,0.0001845106,0.00037376996,0.00018947625,0.0008829357,0.0009020421,0.00035585786,0.00046885427],"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":[0.0014508978,0.00089230796,0.017887061,0.00027218566,0.00017093234,0.0028330474,0.0009725022,0.12494866,0.110969156,0.022622215,0.02661139,0.6903698],"study_design_scores_gemma":[0.00008589898,0.000099628785,0.0037106413,0.000015025968,0.000048441412,0.0005020246,0.00035699285,0.9061311,0.052385982,0.010896248,0.025726244,0.000041788113],"about_ca_topic_score_codex":0.0018426768,"about_ca_topic_score_gemma":0.0022486174,"teacher_disagreement_score":0.0018426768,"about_ca_system_score_codex":0.00030809213,"about_ca_system_score_gemma":0.0004227488,"threshold_uncertainty_score":0.0061244965},"labels":[],"label_agreement":null},{"id":"W2147018075","doi":"10.1109/lcn.2010.5735676","title":"Prediction-based charging of PHEVs from the smart grid with dynamic pricing","year":2010,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":87,"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 Ottawa","funders":"","keywords":"Smart grid; Computer science; Grid; Electricity; Renewable energy; Energy storage; Electricity pricing; Battery (electricity); Automotive engineering; Wireless; Dynamic pricing; Electrical engineering; Electricity market; Engineering; Telecommunications; Business; Power (physics)","score_opus":0.002362628357461117,"score_gpt":0.15651504371323013,"score_spread":0.154152415355769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147018075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09840344,0.00043179712,0.8909313,0.0008609861,0.00027256692,0.00011378568,0.000092938004,0.00082533713,0.008067852],"genre_scores_gemma":[0.98914015,0.00009136453,0.009338741,0.000072523166,0.00003833968,0.000023892282,0.000032466116,0.000010667765,0.0012519478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995253,0.00012177214,0.000028757482,0.000100250545,0.00011779912,0.000106180545],"domain_scores_gemma":[0.9995808,0.00018899962,0.00005270932,0.000054546996,0.00008730086,0.00003560102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058395794,0.0005897105,0.0010423061,0.00020021477,0.00046871504,0.0009323366,0.0013805433,0.00077755196,0.001311142],"category_scores_gemma":[0.0015345329,0.00025443156,0.0004457146,0.0004538465,0.00046677733,0.0011189748,0.0007772608,0.0007605242,0.00023389395],"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":[0.00018833282,0.00006592839,0.0011787546,0.000039112605,0.000026188236,0.00016397647,0.00005573732,0.9433006,0.0027177325,0.007413288,0.0014206424,0.043429617],"study_design_scores_gemma":[0.000006064496,0.00001673781,0.00008289773,0.0000012415579,0.0000033920094,0.000016690565,0.0000056957956,0.9976763,0.00036601874,0.0016092182,0.00021173038,0.0000039910124],"about_ca_topic_score_codex":0.00498541,"about_ca_topic_score_gemma":0.0040308484,"teacher_disagreement_score":0.00498541,"about_ca_system_score_codex":0.0006569054,"about_ca_system_score_gemma":0.000732739,"threshold_uncertainty_score":0.009912789},"labels":[],"label_agreement":null},{"id":"W2147101564","doi":"10.1109/camad.2011.5941117","title":"Analysis of Plug-in Hybrid Electrical Vehicle admission control in the smart grid","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"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 Ottawa","funders":"","keywords":"Smart grid; Computer science; Grid; Provisioning; Automotive engineering; Blocking (statistics); Electricity; Transformer; Computer network; Engineering; Electrical engineering; Voltage","score_opus":0.006830354310856531,"score_gpt":0.19090961480756163,"score_spread":0.18407926049670512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147101564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1487645,0.000898124,0.81081796,0.001761419,0.00015649787,0.00015190442,0.00011717562,0.00062768627,0.03670471],"genre_scores_gemma":[0.9912922,0.00016740525,0.0042942376,0.00006498411,0.000032320455,0.000037021884,0.00001933557,0.00002673344,0.0040657064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990748,0.00024261764,0.000024064475,0.00012451614,0.00026218613,0.0002718845],"domain_scores_gemma":[0.99816775,0.0010817759,0.00023956649,0.0000787781,0.00030794553,0.00012413537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288547,0.0007996781,0.0008706864,0.00071957486,0.00075822696,0.002046534,0.0011061613,0.0011039122,0.00524409],"category_scores_gemma":[0.003840934,0.00035972634,0.0006410207,0.0006136687,0.0016399691,0.0012371046,0.0011224936,0.0011420219,0.00029353873],"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":[0.000077208315,0.000043024895,0.00059919094,0.000039539515,0.000026605587,0.00012430231,0.00007512962,0.9353905,0.0014470728,0.05576532,0.00061313336,0.005799043],"study_design_scores_gemma":[0.0000029924754,0.000006796299,0.000055804347,0.0000024976569,0.000003608534,0.0000073724955,0.000010068486,0.9958929,0.00010402245,0.0037879846,0.00012358381,0.0000023648738],"about_ca_topic_score_codex":0.0168607,"about_ca_topic_score_gemma":0.0059494474,"teacher_disagreement_score":0.0168607,"about_ca_system_score_codex":0.0029362247,"about_ca_system_score_gemma":0.0018532339,"threshold_uncertainty_score":0.03352511},"labels":[],"label_agreement":null},{"id":"W2147593270","doi":"10.1504/ijmmno.2014.065405","title":"Implementation of a fast non-dominated sorting firefly algorithm and a vehicle simulation model for multi-objective component sizing of a power-split PHEV powertrain: a comparative numerical study","year":2014,"lang":"en","type":"article","venue":"International Journal of Mathematical Modelling and Numerical Optimisation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Firefly algorithm; Sizing; Metaheuristic; Powertrain; Sorting; Component (thermodynamics); Computer science; Mathematical optimization; Genetic algorithm; Automotive industry; Multi-objective optimization; Local search (optimization); Algorithm; Particle swarm optimization; Engineering; Mathematics; Machine learning","score_opus":0.029829461218748243,"score_gpt":0.3169682697173184,"score_spread":0.28713880849857015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147593270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3910781,0.0008541964,0.57471746,0.00060060766,0.0002468939,0.00031822332,0.0003110119,0.0010167939,0.030856686],"genre_scores_gemma":[0.91723454,0.000290008,0.07895695,0.000040866707,0.000016318125,0.00019259172,0.00014688933,0.000055502816,0.0030663437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997842,0.00009469357,0.0000128289685,0.000022491053,0.000052573385,0.0000332291],"domain_scores_gemma":[0.99936527,0.00041645853,0.0000530268,0.000033918575,0.00010199061,0.00002942432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008957637,0.00085079717,0.000995875,0.00079650787,0.00058584835,0.0010255387,0.0009044506,0.0017944265,0.003080999],"category_scores_gemma":[0.0012317349,0.00043839563,0.0011245073,0.000649853,0.0004336007,0.00067015406,0.00059061445,0.0009797576,0.00029676096],"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":[0.00003994599,0.000042591764,0.00040705522,0.00003585933,0.000014714858,0.000037618513,0.000018320306,0.9941036,0.0006850442,0.0010004739,0.00009103841,0.003523687],"study_design_scores_gemma":[0.000004708378,0.000019057425,0.000052834905,0.0000019999427,0.0000029143653,0.000002580911,0.000005958019,0.9995888,0.0001567683,0.00006329755,0.00009908954,0.000001931852],"about_ca_topic_score_codex":0.02247152,"about_ca_topic_score_gemma":0.011291485,"teacher_disagreement_score":0.02247152,"about_ca_system_score_codex":0.000740343,"about_ca_system_score_gemma":0.001070873,"threshold_uncertainty_score":0.04468143},"labels":[],"label_agreement":null},{"id":"W2151111354","doi":"10.1109/tsg.2014.2300040","title":"Real-Time Welfare-Maximizing Regulation Allocation in Dynamic Aggregator-EVs System","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":73,"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; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"News aggregator; Greedy algorithm; Battery (electricity); Energy (signal processing); Online algorithm; System dynamics","score_opus":0.0035131343093637102,"score_gpt":0.18239895633360578,"score_spread":0.17888582202424208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151111354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1778882,0.000451704,0.81388384,0.0006698689,0.00007059514,0.000080855025,0.00011496858,0.0005277405,0.0063121957],"genre_scores_gemma":[0.9843568,0.00008390271,0.014564014,0.000049127626,0.000018318304,0.000029657504,0.00002890889,0.000015256915,0.00085399154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991117,0.00041402187,0.000028685638,0.00016275063,0.0000925597,0.00019024864],"domain_scores_gemma":[0.9988834,0.0006167016,0.00017732961,0.00007767953,0.00016090907,0.000084058105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014908818,0.0007518145,0.0011956175,0.00038443625,0.0006708055,0.0010470838,0.0011459565,0.0007788831,0.0012110879],"category_scores_gemma":[0.0021494871,0.00032532663,0.00036331863,0.00072422787,0.00088278716,0.0010384283,0.0010117028,0.000695949,0.000202275],"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":[0.00011934259,0.000027122358,0.0004523153,0.000026722806,0.000021576616,0.000090695,0.00003745899,0.9809809,0.0015341938,0.007055013,0.00082946935,0.008825249],"study_design_scores_gemma":[0.000009404823,0.000019483938,0.00009474559,0.0000013326223,0.000004876627,0.000020759186,0.0000148783265,0.99687827,0.00022904931,0.002548672,0.00017503282,0.0000034899642],"about_ca_topic_score_codex":0.0033737447,"about_ca_topic_score_gemma":0.0024410551,"teacher_disagreement_score":0.0033737447,"about_ca_system_score_codex":0.0010715838,"about_ca_system_score_gemma":0.00089760055,"threshold_uncertainty_score":0.007884622},"labels":[],"label_agreement":null},{"id":"W2152961130","doi":"10.1088/1748-9326/2/1/014003","title":"How hybrid-electric vehicles are different from conventional vehicles: the effect of weight and power on fuel consumption","year":2007,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Universiti Kuala Lumpur; University of Kuala Lumpur","keywords":"Fuel efficiency; Automotive engineering; Brake specific fuel consumption; Consumption (sociology); Environmental science; Miles per gallon gasoline equivalent; Internal combustion engine; Electric vehicle; Power consumption; Combustion; Thrust specific fuel consumption; Power (physics); Green vehicle; Engineering; Chemistry; Physics","score_opus":0.007935617531188991,"score_gpt":0.22229295245756986,"score_spread":0.21435733492638087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152961130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904303,0.00059381,0.0020169723,0.00021423037,0.000031942505,0.000013380897,0.000114275485,0.000014892858,0.0065701576],"genre_scores_gemma":[0.99768376,0.0003023491,0.0005875249,0.00007975868,0.000009363432,0.0000052456307,0.00011513005,0.000012664131,0.001204175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996172,0.00007989793,0.000013859586,0.000051421142,0.00017610323,0.00006146116],"domain_scores_gemma":[0.99923635,0.00035578763,0.00011487775,0.00006658786,0.00018658274,0.000039926264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496486,0.00025761386,0.00023730156,0.0003314328,0.00018342797,0.000891173,0.0003461668,0.00044170744,0.0014154731],"category_scores_gemma":[0.0024825777,0.000121017656,0.0003301996,0.00044035222,0.00035922564,0.0012867078,0.00034170086,0.00027665755,0.00025668147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047166916,0.0011263373,0.44345558,0.00036667654,0.0012276131,0.001339844,0.0008350563,0.1638045,0.069966294,0.027273508,0.005676736,0.28021115],"study_design_scores_gemma":[0.0001755342,0.00312866,0.76863885,0.00010457005,0.0006148326,0.0014744864,0.0037002324,0.08990148,0.06297966,0.042982493,0.026153263,0.00014582208],"about_ca_topic_score_codex":0.0028321203,"about_ca_topic_score_gemma":0.0056349444,"teacher_disagreement_score":0.0028321203,"about_ca_system_score_codex":0.00044426243,"about_ca_system_score_gemma":0.00016417731,"threshold_uncertainty_score":0.005631268},"labels":[],"label_agreement":null},{"id":"W2154483352","doi":"10.1109/vppc.2009.5289538","title":"Analysis of series and parallel hybrid bus fuel consumption on different edmonton transit system routes","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuel efficiency; Public transport; Transport engineering; Transit (satellite); Automotive engineering; Computer science; Consumption (sociology); Hybrid system; Environmental science; Engineering","score_opus":0.005003168496096437,"score_gpt":0.18180168190090445,"score_spread":0.176798513404808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154483352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985983,0.000022471919,0.0003338366,0.000003421296,6.5372154e-7,0.000003700658,0.00018538433,0.000007427036,0.00084484706],"genre_scores_gemma":[0.9971316,0.0000339795,0.0006545786,0.0000019409695,6.031014e-7,0.0000037941645,0.0005778884,0.000006607814,0.0015890228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999051,0.000009698498,0.0000030928393,0.00001784589,0.000041553085,0.00002259256],"domain_scores_gemma":[0.9997769,0.0000633622,0.00003155865,0.000010623862,0.00010068736,0.00001677404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015012026,0.0003592214,0.00019108044,0.0011337915,0.00024213654,0.0003357649,0.00029369802,0.00013987582,0.0010870063],"category_scores_gemma":[0.00034589428,0.00015667535,0.0002700818,0.0010522553,0.00018717673,0.0001490575,0.00013663161,0.00011284504,0.0000672946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015061231,0.00014839951,0.40255836,0.00010985246,0.00033529144,0.00073407445,0.00031965703,0.51864964,0.026194926,0.0018107473,0.00093801576,0.046694934],"study_design_scores_gemma":[0.00002330432,0.00022044474,0.64445037,0.000008620206,0.00013109224,0.00016327192,0.00067856803,0.34017602,0.012413865,0.0002713347,0.0014245177,0.000038572707],"about_ca_topic_score_codex":0.44206426,"about_ca_topic_score_gemma":0.6304551,"teacher_disagreement_score":0.5579357,"about_ca_system_score_codex":0.0018013666,"about_ca_system_score_gemma":0.0005880206,"threshold_uncertainty_score":0.8789823},"labels":[],"label_agreement":null},{"id":"W2160216454","doi":"10.1109/tvt.2010.2046659","title":"Battery Storage Sizing in a Retrofitted Plug-in Hybrid Electric Vehicle","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Sizing; Automotive engineering; Battery (electricity); Electric vehicle; Engineering; Battery pack; Energy storage; Battery electric vehicle; Propulsion; Hybrid vehicle; Electrical engineering; Power (physics); Aerospace engineering","score_opus":0.0030607014777258804,"score_gpt":0.18311719353606812,"score_spread":0.18005649205834223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160216454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4805822,0.00034296585,0.5009801,0.00029019712,0.00006190042,0.00017883164,0.00035947104,0.00049524376,0.01670918],"genre_scores_gemma":[0.98819554,0.00007847909,0.01029323,0.00001613329,0.0000042146735,0.0000386583,0.000056841094,0.000019042396,0.0012978278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998196,0.00007333953,0.0000056569556,0.000021976924,0.000043348304,0.000036190344],"domain_scores_gemma":[0.99970007,0.00017471277,0.000037119153,0.000012401988,0.00005491728,0.000020801614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005499998,0.00058575516,0.0007402841,0.0004091349,0.0003620526,0.0007515237,0.0009987772,0.0005530376,0.0017506226],"category_scores_gemma":[0.000981471,0.0006059966,0.0005499374,0.00030349146,0.0005431118,0.0006764486,0.0004052692,0.0005469486,0.00013115068],"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":[0.000009769818,0.0000040065665,0.00009294325,0.000002834667,0.0000028296945,0.000010466571,0.0000036439592,0.99889463,0.00013250893,0.00036454713,0.000019015099,0.00046285617],"study_design_scores_gemma":[0.0000064312426,0.000013913918,0.000055318225,0.0000013570174,0.0000030366034,0.000003881627,0.0000066398998,0.99940336,0.00014160614,0.0002760304,0.00008650458,0.0000019315012],"about_ca_topic_score_codex":0.025254037,"about_ca_topic_score_gemma":0.021522427,"teacher_disagreement_score":0.025254037,"about_ca_system_score_codex":0.0014790426,"about_ca_system_score_gemma":0.0014862232,"threshold_uncertainty_score":0.05021411},"labels":[],"label_agreement":null},{"id":"W2162593703","doi":"10.1109/tsg.2014.2374592","title":"Electric Vehicle Charging Stations With Renewable Power Generators: A Game Theoretical Analysis","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Science ICT and Future Planning","keywords":"Revenue; Nash equilibrium; Competition (biology); Game theory; Electricity; Renewable energy; Electric vehicle; Microeconomics; Computer science; Electricity generation; Economics; Power (physics); Engineering; Electrical engineering; Physics; Finance","score_opus":0.002947140121565371,"score_gpt":0.17947911310247894,"score_spread":0.17653197298091355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162593703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09685238,0.0015192064,0.80690736,0.0020394088,0.00019346178,0.00028749986,0.00024523778,0.00009883369,0.09185663],"genre_scores_gemma":[0.944523,0.0012534064,0.03869638,0.00034067885,0.00015100169,0.00023945715,0.00009139816,0.000053417934,0.014651228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989911,0.00052078336,0.000021432637,0.000100982055,0.00017804607,0.00018766466],"domain_scores_gemma":[0.9982305,0.0012847484,0.00017681126,0.000048008933,0.00016533342,0.00009458935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012925491,0.0012207284,0.0011300892,0.00083092105,0.00092018384,0.0021903391,0.0019075433,0.0019294537,0.0073948684],"category_scores_gemma":[0.0044136927,0.00071327825,0.0011916874,0.0010259756,0.0017876567,0.0029622992,0.0014078739,0.0016411946,0.000505968],"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":[0.00003865609,0.0000737458,0.00044406732,0.000075283766,0.000031373365,0.00019094742,0.00006642559,0.7550718,0.0006570253,0.23824199,0.0012073441,0.0039012332],"study_design_scores_gemma":[0.000015149363,0.000030329184,0.00011044266,0.000011493175,0.000010969742,0.000057571255,0.000055177083,0.96643597,0.00008882259,0.03205684,0.0011177106,0.000009601077],"about_ca_topic_score_codex":0.008233185,"about_ca_topic_score_gemma":0.0059300656,"teacher_disagreement_score":0.008233185,"about_ca_system_score_codex":0.0024381133,"about_ca_system_score_gemma":0.0017066565,"threshold_uncertainty_score":0.024738312},"labels":[],"label_agreement":null},{"id":"W2170858013","doi":"10.1109/vppc.2011.6043173","title":"Advanced design approach of power split device of plug-in hybrid electric vehicles using Dynamic Programming","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"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 Windsor","funders":"","keywords":"Plug-in; Automotive engineering; Computer science; Power (physics); Electric vehicle; Vehicle dynamics; Dynamic programming; Engineering; Algorithm","score_opus":0.01561389854405259,"score_gpt":0.21212228279466233,"score_spread":0.19650838425060974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170858013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008608385,0.0001895056,0.9833392,0.000084446205,0.000023841962,0.00004545086,0.000017238093,0.00008149524,0.007610502],"genre_scores_gemma":[0.75196576,0.0006375167,0.23499846,0.000104781306,0.000042037962,0.0005144479,0.000078828394,0.00009970612,0.011558483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.000049360002,0.0000056288723,0.00003331104,0.00007953907,0.000020839932],"domain_scores_gemma":[0.9998975,0.00004547734,0.000012847208,0.00000495049,0.000033530458,0.00000567525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029682,0.00071014126,0.00054003374,0.00030368424,0.00027129814,0.00079649687,0.00066531287,0.00045515207,0.0028021287],"category_scores_gemma":[0.00043570198,0.0004646281,0.00046630035,0.00023028023,0.0003261278,0.00043007656,0.00049210846,0.00061906344,0.00032750782],"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":[0.000035042976,0.000028792814,0.00023788714,0.00014639263,0.000027742064,0.00007365712,0.00006843959,0.94338906,0.0056507112,0.019385325,0.0007052243,0.030251736],"study_design_scores_gemma":[0.000008209301,0.00004723064,0.00004322569,0.0000067039373,0.000007317628,0.000015519157,0.000011081928,0.9943129,0.00094137073,0.0028953762,0.0017077434,0.0000033204624],"about_ca_topic_score_codex":0.0012590752,"about_ca_topic_score_gemma":0.0014634869,"teacher_disagreement_score":0.0028021287,"about_ca_system_score_codex":0.0003915626,"about_ca_system_score_gemma":0.00068894774,"threshold_uncertainty_score":0.009374082},"labels":[],"label_agreement":null},{"id":"W2171410554","doi":"10.1109/pesgm.2012.6345320","title":"Optimal PHEV charging in coordination with distributed generation operation in distribution systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Greenhouse gas; Environmental economics; Tariff; Distributed generation; Private transport; Environmental science; Global warming; Automotive engineering; Market penetration; Electric vehicle; Business; Environmental engineering; Natural resource economics; Transport engineering; Engineering; Power (physics); Economics; Climate change; Electrical engineering; Public transport","score_opus":0.006452710353538706,"score_gpt":0.19099660082010372,"score_spread":0.18454389046656502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171410554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.287997,0.0006253171,0.68722475,0.00067308656,0.00009866886,0.00022322377,0.00020176976,0.0003569185,0.022599345],"genre_scores_gemma":[0.99453425,0.00006424771,0.0040999465,0.000012008863,0.000009769321,0.000019537982,0.000016764734,0.00001152375,0.0012321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959964,0.00015984313,0.000009803042,0.00006319769,0.00006048116,0.000107050175],"domain_scores_gemma":[0.9996494,0.00021166328,0.00004898148,0.000015875063,0.000043733457,0.000030322704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061025895,0.0006597338,0.0008088501,0.00026188727,0.00050218904,0.0014218085,0.00069853116,0.00061045383,0.0020008667],"category_scores_gemma":[0.001294352,0.00038357053,0.00027780255,0.00044659284,0.00048784385,0.00081048114,0.00055407337,0.0005334655,0.00015307644],"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":[0.000077310855,0.000020477602,0.00023151678,0.000016828615,0.000007345087,0.00004523954,0.000017390304,0.9911219,0.00042108592,0.0017382381,0.00025388497,0.006048771],"study_design_scores_gemma":[0.000020764317,0.00004324095,0.00021053999,0.0000019871059,0.0000053291183,0.000012729193,0.000024377143,0.9967302,0.00027400235,0.0023958369,0.00027740226,0.0000035391984],"about_ca_topic_score_codex":0.013115858,"about_ca_topic_score_gemma":0.01341788,"teacher_disagreement_score":0.013115858,"about_ca_system_score_codex":0.0017047857,"about_ca_system_score_gemma":0.0012209627,"threshold_uncertainty_score":0.026078999},"labels":[],"label_agreement":null},{"id":"W2171493326","doi":"","title":"The Techno-economic Impacts of Using Wind Power and Plug-In Hybrid Electric Vehicles for Greenhouse Gas Mitigation in Canada","year":2010,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Pittsburgh","keywords":"Greenhouse gas; Wind power; Renewable energy; Electricity generation; Fossil fuel; Electricity; Automotive engineering; Engineering; Power (physics); Electrical engineering; Waste management","score_opus":0.005572888290568031,"score_gpt":0.21413321901168672,"score_spread":0.20856033072111868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171493326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9097658,0.0016047417,0.0036352107,0.001949806,0.000047176054,0.00016290747,0.0034781464,0.0001711974,0.07918502],"genre_scores_gemma":[0.9795756,0.0011079214,0.0028889638,0.000092888346,0.0000030654132,0.000020970445,0.0008647514,0.000025284333,0.015420705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956506,0.000034776276,0.00001113165,0.00003960482,0.00020053479,0.00014892068],"domain_scores_gemma":[0.9995875,0.000050359613,0.00001832846,0.000008659914,0.00026343728,0.000071642775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031507623,0.00031881247,0.0002347738,0.0007376222,0.0023729457,0.0015088508,0.00072149094,0.00031480688,0.0026441263],"category_scores_gemma":[0.00071445823,0.00027102462,0.0004438719,0.0016668782,0.0005271057,0.00030800753,0.00044507012,0.00045394755,0.00013513367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000778757,0.0003733755,0.16794387,0.0007595464,0.00027185256,0.0025619527,0.0014867056,0.61135525,0.011835732,0.03504497,0.030548489,0.13703945],"study_design_scores_gemma":[0.0002573041,0.00029987175,0.37691364,0.00025945748,0.00032328983,0.0003205009,0.0107422015,0.513376,0.011317522,0.005224894,0.08064888,0.00031645026],"about_ca_topic_score_codex":0.998553,"about_ca_topic_score_gemma":0.99931526,"teacher_disagreement_score":0.0673622,"about_ca_system_score_codex":0.0673622,"about_ca_system_score_gemma":0.06162865,"threshold_uncertainty_score":0.4887492},"labels":[],"label_agreement":null},{"id":"W2174209695","doi":"10.1016/j.energy.2015.10.025","title":"Optimizing renewable energy, demand response and energy storage to replace conventional fuels in Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Renewable energy; Electrification; Fossil fuel; Environmental economics; Energy storage; Electricity; Electricity generation; Engineering; Natural resource economics; Waste management; Economics; Power (physics); Electrical engineering","score_opus":0.00636084261578593,"score_gpt":0.17627596522403186,"score_spread":0.16991512260824593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174209695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92393243,0.001986316,0.0023257723,0.003933173,0.00008714159,0.00034879,0.0037283613,0.00014566578,0.0635123],"genre_scores_gemma":[0.9575989,0.001145138,0.0029883808,0.000186862,0.000011378182,0.00004595345,0.0009495592,0.000040294944,0.03703343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931324,0.00006322865,0.000027405393,0.00005757363,0.00030412362,0.00023448151],"domain_scores_gemma":[0.9986689,0.000117596996,0.00005022848,0.000025630916,0.00093429413,0.00020331325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008075282,0.0003097721,0.00035297763,0.0005874696,0.003209757,0.001795472,0.00089514,0.00047549815,0.0039006951],"category_scores_gemma":[0.0014036173,0.00035642672,0.0004001897,0.0013859991,0.0005348616,0.000527957,0.0004449034,0.00051435176,0.00022611809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031813746,0.0013791015,0.26759535,0.0014428125,0.00045168656,0.0021566472,0.00393839,0.31342652,0.023154605,0.03849106,0.122767985,0.22201437],"study_design_scores_gemma":[0.00081382866,0.00077589415,0.48505768,0.00031821942,0.0003986523,0.00029242423,0.015616997,0.25935996,0.0138363745,0.0037607865,0.21944149,0.00032771207],"about_ca_topic_score_codex":0.99800855,"about_ca_topic_score_gemma":0.9994318,"teacher_disagreement_score":0.075683706,"about_ca_system_score_codex":0.075683706,"about_ca_system_score_gemma":0.10801838,"threshold_uncertainty_score":0.54912627},"labels":[],"label_agreement":null},{"id":"W2175258184","doi":"10.1109/pacrim.2015.7334804","title":"A potential game framework for charging PHEVs in smart grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nash equilibrium; Smart grid; Computer science; Mathematical optimization; Potential game; Best response; Uniqueness; Grid; Game theory; Scheduling (production processes); Lyapunov function; Demand response; Distributed computing; Electricity; Mathematics; Mathematical economics; Engineering; Electrical engineering","score_opus":0.009381108201864049,"score_gpt":0.2183142301709289,"score_spread":0.20893312196906486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175258184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009021391,0.000194214,0.9826682,0.00024899456,0.00005962076,0.000086087806,0.00004994525,0.00007153215,0.007600074],"genre_scores_gemma":[0.7974145,0.0005675111,0.18750314,0.00017435344,0.00007677644,0.0005047952,0.000099890036,0.00005861949,0.013600433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993319,0.00037634443,0.000018923252,0.000074724245,0.000110148016,0.00008783952],"domain_scores_gemma":[0.9994305,0.0003786573,0.00004035099,0.000020662485,0.00007087698,0.000058934063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076675,0.0009580024,0.00096558616,0.00036825688,0.000698707,0.0013372087,0.0015816836,0.0013094067,0.004779151],"category_scores_gemma":[0.0021016302,0.00043776506,0.0007905791,0.0006268074,0.00129274,0.0018924492,0.0011923431,0.0014172427,0.0004966235],"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":[0.000036338686,0.00003152773,0.0000957311,0.000050360122,0.000014860182,0.0001368322,0.000057296984,0.8323628,0.00069981255,0.1603404,0.0007719791,0.0054020365],"study_design_scores_gemma":[0.000017728993,0.000019239353,0.000019835108,0.0000042792767,0.0000032329656,0.000016599995,0.000019534764,0.96857744,0.00009964064,0.030299667,0.00091686915,0.0000059398844],"about_ca_topic_score_codex":0.008034107,"about_ca_topic_score_gemma":0.006655621,"teacher_disagreement_score":0.008034107,"about_ca_system_score_codex":0.0014193585,"about_ca_system_score_gemma":0.0018401772,"threshold_uncertainty_score":0.015987873},"labels":[],"label_agreement":null},{"id":"W2200428489","doi":"10.1109/milcom.2015.7357669","title":"Multi-domain Public key infrastructure for Vehicle-to-Grid network","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Ottawa","funders":"","keywords":"Public key infrastructure; Public-key cryptography; Computer science; Provisioning; Smart grid; Certificate authority; Key (lock); Grid; Computer security; Certificate; Computer network; Engineering; Electrical engineering; Encryption","score_opus":0.01590347516113531,"score_gpt":0.21987986902129134,"score_spread":0.20397639386015604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200428489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013940138,0.0012286032,0.96577847,0.0009068171,0.00025493497,0.0002787795,0.00015138806,0.0013925177,0.016068315],"genre_scores_gemma":[0.83522516,0.001520018,0.1523267,0.0002643061,0.0001533794,0.0002830912,0.00047287435,0.0000681908,0.009686359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870515,0.00037867491,0.0000882142,0.00022094672,0.00037682249,0.00023015153],"domain_scores_gemma":[0.9990639,0.00012066971,0.00013724175,0.0003464908,0.00026466607,0.00006705682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010485911,0.00050412444,0.0004979111,0.00071744906,0.0010252998,0.0015941452,0.0014757906,0.001100003,0.0042114784],"category_scores_gemma":[0.001743963,0.000201105,0.00054573856,0.0010130738,0.0007884589,0.0049968665,0.0019231957,0.0012570897,0.0018559862],"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":[0.0005660186,0.00025588437,0.0014464493,0.0007006977,0.000075888915,0.00079434365,0.00030040348,0.1042036,0.029768538,0.572262,0.024355708,0.2652705],"study_design_scores_gemma":[0.000114119066,0.00047208703,0.0007221687,0.00014924072,0.00007570815,0.0016125607,0.00025398628,0.711891,0.030389808,0.138972,0.11523991,0.000107437474],"about_ca_topic_score_codex":0.00092547265,"about_ca_topic_score_gemma":0.0008713441,"teacher_disagreement_score":0.0042114784,"about_ca_system_score_codex":0.0018479368,"about_ca_system_score_gemma":0.0018591346,"threshold_uncertainty_score":0.0140888095},"labels":[],"label_agreement":null},{"id":"W2201810131","doi":"","title":"Understanding consumer knowledge, perceptions, and preferences regarding pro-environmental technology: The cases of plug-in electric vehicles and utility controlled charging","year":2015,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Plug-in; Business; Marketing; Computer science; Psychology","score_opus":0.024884636287058167,"score_gpt":0.20469255086007745,"score_spread":0.17980791457301928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201810131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771906,0.00023493457,0.00033448782,0.0021507244,0.00000480917,0.000009324517,0.000006209573,0.0000014525019,0.020067452],"genre_scores_gemma":[0.9986506,0.00029105195,0.00009808779,0.00013553268,0.00000293614,0.0000052088294,0.0000061501805,9.536742e-7,0.00080936024],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9984769,0.0008442092,0.0000340136,0.00007982383,0.00026449744,0.0003005736],"domain_scores_gemma":[0.99478674,0.0042613256,0.00039097367,0.00014032378,0.00025741008,0.00016315766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002457329,0.00017964783,0.00014578429,0.000835002,0.0039253435,0.004144159,0.00058375066,0.001699511,0.0025644836],"category_scores_gemma":[0.0056763343,0.00017512364,0.00022332884,0.0008647582,0.0059880875,0.003932726,0.001926302,0.001518534,0.00013212737],"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":[0.000104282604,0.00029131243,0.08475235,0.0001738152,0.000026694603,0.0065588946,0.8344225,0.00054432865,0.0017755409,0.032443777,0.0011335488,0.03777293],"study_design_scores_gemma":[0.000008310411,0.00006747235,0.034050155,0.00015120291,0.000024089575,0.0008085644,0.9445791,0.00066277396,0.0009405792,0.0061833616,0.012501572,0.00002281706],"about_ca_topic_score_codex":0.082179986,"about_ca_topic_score_gemma":0.11201927,"teacher_disagreement_score":0.082179986,"about_ca_system_score_codex":0.0038767792,"about_ca_system_score_gemma":0.0013735187,"threshold_uncertainty_score":0.16340333},"labels":[],"label_agreement":null},{"id":"W2203779732","doi":"10.3390/su8010027","title":"“Team Play” between Renewable Energy Sources and Vehicle Fleet to Decrease Air Pollution","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Commercialization; Renewable energy; Environmental economics; Air quality index; Business; Electric vehicle; Photovoltaic system; Natural resource economics; Engineering; Economics; Marketing","score_opus":0.0055794244007566825,"score_gpt":0.20996245662426447,"score_spread":0.2043830322235078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203779732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66291136,0.0023889737,0.12210862,0.008790518,0.0006124916,0.0004665253,0.00008262062,0.00036587656,0.20227309],"genre_scores_gemma":[0.9788036,0.00045367528,0.010138483,0.00035735153,0.000033903212,0.00010485366,0.00002704392,0.000020364587,0.010060735],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990274,0.0005946677,0.000017040253,0.000081932325,0.000111979025,0.00016700984],"domain_scores_gemma":[0.99937016,0.00020145593,0.00008431155,0.000041435986,0.00012354525,0.00017914086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014247525,0.00034842984,0.00025657113,0.00052173546,0.00058787287,0.0010590384,0.00061311765,0.0005448086,0.009007731],"category_scores_gemma":[0.0018940782,0.000112206166,0.00029835672,0.00028647747,0.0003855079,0.0014011238,0.0015046856,0.0004755256,0.0009003313],"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":[0.0015476679,0.0024007834,0.026617292,0.0010426722,0.00040933045,0.000708379,0.002275888,0.13194291,0.019747723,0.17699479,0.023590533,0.61272204],"study_design_scores_gemma":[0.0007722488,0.008553826,0.063297234,0.0014658162,0.00053680636,0.0007213035,0.022810299,0.35134277,0.022082161,0.21039677,0.3178176,0.00020314763],"about_ca_topic_score_codex":0.002015113,"about_ca_topic_score_gemma":0.004040174,"teacher_disagreement_score":0.009007731,"about_ca_system_score_codex":0.0006610016,"about_ca_system_score_gemma":0.0011712372,"threshold_uncertainty_score":0.030133843},"labels":[],"label_agreement":null},{"id":"W2211051830","doi":"10.1016/j.enconman.2015.11.066","title":"Electric vehicle charging to support renewable energy integration in a capacity constrained electricity grid","year":2015,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Nova Scotia Department of Energy","keywords":"Renewable energy; Automotive engineering; Electricity; Wind power; Electric vehicle; Energy storage; Environmental science; Electrical engineering; Engineering; Power (physics)","score_opus":0.00878654080889451,"score_gpt":0.18519810532604994,"score_spread":0.17641156451715542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211051830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59320396,0.0004543212,0.3358982,0.0013006371,0.00041604985,0.00014723073,0.00029893545,0.0013558889,0.066924766],"genre_scores_gemma":[0.9966646,0.000020077789,0.0016115326,0.000020613988,0.000007434608,0.0000047565386,0.000024413644,0.0000114835275,0.0016351056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985826,0.000034714893,0.0000068901436,0.000019539386,0.00004115994,0.00003947151],"domain_scores_gemma":[0.9997454,0.00010251102,0.000016963126,0.000032171978,0.00007463207,0.00002836293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002840488,0.00025882636,0.00033104533,0.00020803737,0.00043303997,0.0009132683,0.00070175726,0.00041259217,0.005628741],"category_scores_gemma":[0.00092743407,0.00017440127,0.00017957643,0.0003507794,0.00020660265,0.0008838885,0.0005832298,0.00048362455,0.00031237392],"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":[0.00046333077,0.00020539973,0.0023570631,0.00006912697,0.00005588993,0.0005272325,0.00007747022,0.8842909,0.00891699,0.024762226,0.0052800844,0.07299423],"study_design_scores_gemma":[0.000017279044,0.000043612694,0.0004249178,0.0000044622143,0.000010146384,0.000059903272,0.000057098317,0.9901543,0.0016373856,0.0056849197,0.001899387,0.0000064649894],"about_ca_topic_score_codex":0.0026014848,"about_ca_topic_score_gemma":0.00510036,"teacher_disagreement_score":0.005628741,"about_ca_system_score_codex":0.0004289643,"about_ca_system_score_gemma":0.00045711934,"threshold_uncertainty_score":0.018830001},"labels":[],"label_agreement":null},{"id":"W2228071919","doi":"10.4271/2010-01-2311","title":"Sustainable Mobility: The Business Case for Global Vehicle Electrification","year":2010,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Computer science; Business; Environmental economics; Engineering; Electricity; Economics; Electrical engineering","score_opus":0.00525383756364339,"score_gpt":0.22180577743730928,"score_spread":0.2165519398736659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228071919","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023159867,0.0052123894,0.006301394,0.19798782,0.0011271533,0.000048540922,0.00008659208,0.00007800578,0.7659982],"genre_scores_gemma":[0.8567829,0.010270349,0.002104825,0.015664848,0.0010625412,0.0001412177,0.00014570766,0.000096310374,0.11373136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835783,0.0006253121,0.000026673988,0.00019751633,0.00030255798,0.00049011194],"domain_scores_gemma":[0.998415,0.00068460975,0.000113617236,0.00014392621,0.0001922862,0.0004504212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026333805,0.00059663097,0.00027978892,0.0008341697,0.0035414197,0.008916603,0.0009333899,0.0068265316,0.022004623],"category_scores_gemma":[0.0046414053,0.00020825786,0.00057457446,0.0015141908,0.008260758,0.013283135,0.007192106,0.0047157407,0.0032484652],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013739059,0.000018745179,0.0004980625,0.00004783144,0.0000054265265,0.00039891913,0.0007739631,0.00133487,0.00007573429,0.96068686,0.022999508,0.013146317],"study_design_scores_gemma":[0.000022874057,0.000034703655,0.00055989606,0.00039502952,0.000008064251,0.0003968554,0.008708649,0.002279778,0.00017567736,0.43956935,0.54781985,0.000029305065],"about_ca_topic_score_codex":0.0054778196,"about_ca_topic_score_gemma":0.004559374,"teacher_disagreement_score":0.022004623,"about_ca_system_score_codex":0.0031694768,"about_ca_system_score_gemma":0.0040765386,"threshold_uncertainty_score":0.07361281},"labels":[],"label_agreement":null},{"id":"W2228228559","doi":"10.1504/ijpse.2015.071429","title":"Incentives for the reuse of electric vehicle batteries for load-shifting in residences","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Waterloo","funders":"","keywords":"Incentive; Reuse; Electricity; Environmental economics; Battery (electricity); Electric vehicle; Smart grid; Load shifting; Demand response; Government (linguistics); Load profile; Automotive engineering; Engineering; Business; Computer science; Electrical engineering; Economics; Power (physics); Microeconomics; Waste management","score_opus":0.01368989921763976,"score_gpt":0.2527420648124472,"score_spread":0.23905216559480744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228228559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88864464,0.00015332976,0.084092416,0.0010896163,0.000051951112,0.00022798228,0.00025909106,0.00015422904,0.025326755],"genre_scores_gemma":[0.9919159,0.000042156615,0.0060602534,0.000021946867,0.0000024771948,0.000044747787,0.00001854365,0.0000063803764,0.0018875211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913377,0.0004923553,0.000028076376,0.000061818384,0.00013828404,0.00014572272],"domain_scores_gemma":[0.99747807,0.0017373153,0.00035352333,0.00008709139,0.00021630056,0.0001277319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015062288,0.00029303433,0.00042774357,0.00034569832,0.0005167511,0.0011009475,0.001018257,0.00095291913,0.0054607945],"category_scores_gemma":[0.005164756,0.00034291254,0.00047256672,0.000440559,0.0005639263,0.0012985466,0.00074689614,0.0006149905,0.0002468313],"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":[0.00047512513,0.00037233173,0.005489644,0.00012789521,0.000030083595,0.00041841166,0.00020864059,0.94127744,0.004525436,0.03209998,0.0012135679,0.013761397],"study_design_scores_gemma":[0.00010779404,0.00034642938,0.0031609002,0.00003119991,0.00003123331,0.00007887599,0.0005753762,0.9829223,0.0022728278,0.0075097405,0.0029322703,0.000031112373],"about_ca_topic_score_codex":0.006067041,"about_ca_topic_score_gemma":0.010060021,"teacher_disagreement_score":0.006067041,"about_ca_system_score_codex":0.0016358942,"about_ca_system_score_gemma":0.0015183642,"threshold_uncertainty_score":0.018268168},"labels":[],"label_agreement":null},{"id":"W2231967186","doi":"10.4271/2001-01-3289","title":"Hybrid Vehicles: Hope or Hype?","year":2001,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Computer science","score_opus":0.008064155111730534,"score_gpt":0.21647217833695795,"score_spread":0.20840802322522742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2231967186","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013369133,0.14255682,0.0014333422,0.77625364,0.008979949,0.000005393799,0.00004769792,0.0000632388,0.06932304],"genre_scores_gemma":[0.12911664,0.2833747,0.0038405128,0.38404545,0.024490379,0.00004884967,0.00012373018,0.00023580868,0.17472388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985721,0.00045380974,0.00006183592,0.00023952963,0.00046753164,0.00020516505],"domain_scores_gemma":[0.9966223,0.0018775304,0.0001464716,0.0002314539,0.0005811031,0.000541169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041121,0.0005615355,0.0004725438,0.0005938875,0.0015176833,0.006848674,0.0010390873,0.005960814,0.014962032],"category_scores_gemma":[0.005205344,0.00022333862,0.00030603,0.00054360594,0.0089385,0.018526968,0.0027737843,0.009317519,0.0053056106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048294736,0.00004399937,0.00029327668,0.00033232747,0.000009459371,0.00010690547,0.0008589396,0.00016685973,0.00025493614,0.4966023,0.31385913,0.18742359],"study_design_scores_gemma":[0.000009803164,0.000047411857,0.00022636367,0.00051054865,0.0000031341642,0.00011728036,0.0022135437,0.00014882161,0.00009877513,0.12370559,0.8729055,0.000013241461],"about_ca_topic_score_codex":0.0030437997,"about_ca_topic_score_gemma":0.0047882725,"teacher_disagreement_score":0.014962032,"about_ca_system_score_codex":0.0016686544,"about_ca_system_score_gemma":0.001635156,"threshold_uncertainty_score":0.05005306},"labels":[],"label_agreement":null},{"id":"W2232031532","doi":"10.1504/ijpse.2015.071434","title":"Economic and environmental analysis of a green energy hub with energy storage under fixed and variable pricing structures","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"","keywords":"Energy storage; Renewable energy; Distributed generation; Pumped-storage hydroelectricity; Environmental economics; Tariff; Wind power; Stand-alone power system; Capital cost; Automotive engineering; Grid energy storage; Electricity generation; Electricity; Environmental science; Engineering; Electrical engineering; Power (physics); Business; Economics","score_opus":0.003295914802733879,"score_gpt":0.17455448552798075,"score_spread":0.17125857072524686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232031532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96085167,0.00027121053,0.012443643,0.00048370688,0.000038858132,0.000105995176,0.00091958,0.00007843288,0.024806915],"genre_scores_gemma":[0.9964825,0.00006937738,0.0014035067,0.0000120239,0.0000034747127,0.00001690533,0.00010111963,0.000013353437,0.001897764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995913,0.00019455387,0.000009224042,0.000047944304,0.00006251846,0.00009449328],"domain_scores_gemma":[0.9984371,0.0010475431,0.00013475397,0.00006530061,0.00016542332,0.00014984568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238122,0.00067570474,0.00059451425,0.0009870309,0.00070957775,0.0017168665,0.0009978694,0.0014225913,0.0061622392],"category_scores_gemma":[0.0022186285,0.0005933622,0.0011358389,0.0010596092,0.0010814191,0.0020188813,0.00072998944,0.00097567437,0.0002055038],"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":[0.00026561864,0.00006944563,0.0017642011,0.00003263075,0.000015429998,0.00014486154,0.000008093424,0.99124956,0.00054742256,0.00420942,0.0002812918,0.0014120898],"study_design_scores_gemma":[0.000054062846,0.00025384763,0.002624621,0.000008783459,0.00004024113,0.00003193796,0.0000938913,0.9942373,0.0006108511,0.0017141375,0.00031015452,0.000020100455],"about_ca_topic_score_codex":0.025949227,"about_ca_topic_score_gemma":0.021073226,"teacher_disagreement_score":0.025949227,"about_ca_system_score_codex":0.004751992,"about_ca_system_score_gemma":0.0013517856,"threshold_uncertainty_score":0.051596403},"labels":[],"label_agreement":null},{"id":"W2240213515","doi":"10.1109/epec.2015.7379925","title":"Optimal scheduling algorithm for charging electric vehicle in a residential sector under demand response","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"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 Regina","funders":"","keywords":"Electric vehicle; Automotive engineering; Electricity; Computer science; Scheduling (production processes); State of charge; Demand response; Battery (electricity); Electrical engineering; Power (physics); Engineering","score_opus":0.012481725917736521,"score_gpt":0.23155687922344348,"score_spread":0.21907515330570695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240213515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04436406,0.00018917491,0.946062,0.00040941944,0.0000704694,0.00012816193,0.00012220272,0.0004990726,0.0081554465],"genre_scores_gemma":[0.9037696,0.00015870044,0.09159118,0.00008963224,0.000037376678,0.00013840871,0.00018286859,0.000084783474,0.003947418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963117,0.00008375049,0.000017911783,0.00009266277,0.000076095435,0.000098399796],"domain_scores_gemma":[0.9993988,0.00028486623,0.00009843304,0.000025327477,0.00014219187,0.000050321207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007252856,0.00084552856,0.0011801893,0.00053587963,0.0006654362,0.0010725203,0.0009358998,0.00084835436,0.0033332075],"category_scores_gemma":[0.0016172903,0.0005131921,0.00048498562,0.0005524731,0.00057087286,0.00069335033,0.0006303657,0.00077306957,0.00041176644],"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":[0.000040597366,0.000024620234,0.00026463217,0.000019865285,0.000008034818,0.000025257097,0.000024091572,0.98773485,0.00035852907,0.0028124275,0.00054751907,0.0081396],"study_design_scores_gemma":[0.000007682352,0.000008384249,0.000039490395,0.0000012175607,0.0000016356998,0.0000033401259,0.000007990141,0.9989371,0.000085183645,0.000799151,0.00010730599,0.0000016054092],"about_ca_topic_score_codex":0.02268898,"about_ca_topic_score_gemma":0.014477308,"teacher_disagreement_score":0.02268898,"about_ca_system_score_codex":0.0017734363,"about_ca_system_score_gemma":0.0025485756,"threshold_uncertainty_score":0.04511386},"labels":[],"label_agreement":null},{"id":"W2241907664","doi":"10.1109/epec.2015.7379922","title":"On the impact of transportation electrification on distribution systems in the presence of rooftop solar photovoltaic","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Photovoltaic system; Electrification; Monte Carlo method; Automotive engineering; Rooftop photovoltaic power station; Solar irradiance; Environmental science; Transformer; Electrical engineering; Engineering; Voltage; Electricity; Maximum power point tracking; Physics; Meteorology; Inverter","score_opus":0.011069706074495096,"score_gpt":0.22382870211452374,"score_spread":0.21275899604002865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241907664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718563,0.00063414633,0.015521821,0.0002975369,0.000031246178,0.000027477397,0.00016788517,0.0000837845,0.011379842],"genre_scores_gemma":[0.99875665,0.00016658209,0.0005302514,0.0000117812915,0.000004811784,0.000001962201,0.00003415528,0.0000073922993,0.00048647495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995907,0.00018870666,0.000011487536,0.00003404859,0.0000974698,0.00007770325],"domain_scores_gemma":[0.9967631,0.0026377155,0.00020961072,0.00006536644,0.000260085,0.00006407903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068104453,0.0004322609,0.00038140223,0.00037073137,0.00044005242,0.000992686,0.00037153668,0.0006873554,0.0036095197],"category_scores_gemma":[0.0027814738,0.00019938112,0.00037224946,0.00046783412,0.00043538355,0.0010506411,0.0005209789,0.00052007416,0.00020438993],"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":[0.00019543777,0.00005025287,0.00637291,0.000064909174,0.00005673164,0.0005657879,0.000043288757,0.98105246,0.0023518123,0.0012353461,0.0002323359,0.0077785943],"study_design_scores_gemma":[0.0000215482,0.0004734631,0.015245516,0.000029715393,0.00013798034,0.00029364452,0.00042258605,0.9738845,0.0057349633,0.0025495775,0.0011771499,0.000029427852],"about_ca_topic_score_codex":0.007292556,"about_ca_topic_score_gemma":0.0074976115,"teacher_disagreement_score":0.007292556,"about_ca_system_score_codex":0.0008333327,"about_ca_system_score_gemma":0.00038800508,"threshold_uncertainty_score":0.01450026},"labels":[],"label_agreement":null},{"id":"W2243263790","doi":"10.1109/epec.2015.7379945","title":"Optimal energy management and smart charging of PEVs in isolated microgrids","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 Waterloo","funders":"","keywords":"Microgrid; Energy storage; Demand response; Energy management; Automotive engineering; Flexibility (engineering); Computer science; Plug-in; Power flow; Greenhouse gas; Battery (electricity); Load management; Smart grid; Electric power system; Electricity; Power (physics); Energy (signal processing); Engineering; Electrical engineering; Renewable energy","score_opus":0.00465150671150398,"score_gpt":0.17449257671430174,"score_spread":0.16984107000279774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243263790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45418987,0.0005661933,0.5274406,0.00063238776,0.000098676246,0.0001340187,0.00018438842,0.00021374587,0.01654011],"genre_scores_gemma":[0.9947679,0.00010081902,0.003539042,0.000020400244,0.000006323047,0.000024525392,0.000016808779,0.000010618497,0.0015135009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997658,0.00008573692,0.000008358641,0.000048752016,0.00003334321,0.000057963673],"domain_scores_gemma":[0.9997873,0.0000912385,0.00004821697,0.000014869822,0.000029924213,0.00002847839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038226365,0.00075648003,0.00082392374,0.00027886612,0.00040950655,0.0011928021,0.00075313245,0.00070751185,0.0014592077],"category_scores_gemma":[0.0010734668,0.00043615536,0.00048450255,0.00029396667,0.0006780008,0.0011785093,0.0008370856,0.0006401758,0.00013889295],"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":[0.00005403286,0.000028775561,0.0002220917,0.000019891442,0.00001625207,0.00006107586,0.000020851043,0.9925493,0.00082087854,0.0033050536,0.0001547426,0.002747025],"study_design_scores_gemma":[0.0000145944705,0.000036375015,0.00012206266,0.0000027251463,0.0000073659266,0.0000102072545,0.00004122828,0.996012,0.00023890345,0.0033426946,0.00016804085,0.0000037950547],"about_ca_topic_score_codex":0.005839169,"about_ca_topic_score_gemma":0.0054085287,"teacher_disagreement_score":0.005839169,"about_ca_system_score_codex":0.0007614514,"about_ca_system_score_gemma":0.0008939766,"threshold_uncertainty_score":0.011610389},"labels":[],"label_agreement":null},{"id":"W2245734205","doi":"10.4271/2000-01-1587","title":"Lithium Polymer Battery for EVs and HEVs","year":2000,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Battery (electricity); Automotive engineering; Lithium (medication); Computer science; Engineering; Medicine; Physics; Power (physics); Psychiatry","score_opus":0.0054445597423626,"score_gpt":0.20655794651125628,"score_spread":0.20111338676889368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245734205","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39167124,0.0627031,0.11248343,0.0061791763,0.0024548976,0.00045604585,0.0027313877,0.0054573496,0.41586342],"genre_scores_gemma":[0.78200334,0.011671226,0.0073973644,0.00044236745,0.00022815101,0.00008306221,0.00071207195,0.00014245811,0.19731985],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993134,0.0000071893974,0.0000033976278,0.000011554441,0.000033219792,0.000013206186],"domain_scores_gemma":[0.9999621,0.000004489522,0.000004701426,0.000004727079,0.000018240798,0.0000057454063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010090366,0.00023997771,0.00020193313,0.00031335643,0.00037499398,0.0007838025,0.00043769975,0.0004948145,0.016369386],"category_scores_gemma":[0.00012046732,0.00010864053,0.00020966468,0.00040694498,0.00022149051,0.0011210308,0.00046027737,0.0003900156,0.0041925],"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":[0.001628748,0.00027092756,0.0013259072,0.0013359853,0.000056772795,0.00043800048,0.00015514567,0.006334043,0.3476299,0.025402276,0.03918654,0.57623583],"study_design_scores_gemma":[0.00019067978,0.0015328653,0.0030534728,0.00028255163,0.00010622892,0.00061625143,0.00035461716,0.017558362,0.37562034,0.012021462,0.5885932,0.00007008298],"about_ca_topic_score_codex":0.00093376345,"about_ca_topic_score_gemma":0.0016681532,"teacher_disagreement_score":0.016369386,"about_ca_system_score_codex":0.0003526334,"about_ca_system_score_gemma":0.00043727897,"threshold_uncertainty_score":0.054760993},"labels":[],"label_agreement":null},{"id":"W2247789467","doi":"10.1109/epec.2015.7379923","title":"Mitigating the impact of Charging second generation plug-in battery electric vehicles on distribution transformer's insulation life using TOU prices","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transformer; Automotive engineering; Distribution transformer; Electrical engineering; Plug-in; Electric vehicle; Spark plug; Engineering; Environmental science; Computer science; Reliability engineering; Voltage; Mechanical engineering; Physics","score_opus":0.020420477900964774,"score_gpt":0.24126601545504914,"score_spread":0.22084553755408437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247789467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869048,0.00019829835,0.0061375215,0.00008692591,0.000015098141,0.000037660266,0.00009500822,0.000034038985,0.006490615],"genre_scores_gemma":[0.9989046,0.00009052492,0.0005892918,0.0000067065407,0.0000018774003,0.000003961583,0.000020366293,0.000003432128,0.00037909092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999579,0.00008856369,0.000011841093,0.000025185705,0.00018780286,0.00010767386],"domain_scores_gemma":[0.99902844,0.00041614744,0.00018809669,0.0000429512,0.00028253897,0.000041870295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035366003,0.00033814023,0.00025664282,0.00032861214,0.00030416116,0.00076812634,0.00036552973,0.00027580926,0.0008671036],"category_scores_gemma":[0.001955088,0.00010799373,0.00020960871,0.00039072882,0.00025464807,0.0006478321,0.00045147847,0.00029210796,0.00009023881],"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":[0.0016094508,0.0007124228,0.17412414,0.00052764086,0.00030666828,0.0023315977,0.00089378684,0.5311906,0.119115196,0.0075741364,0.0016516973,0.15996268],"study_design_scores_gemma":[0.00008769939,0.004401452,0.32706684,0.00012425678,0.0005785301,0.0011444447,0.0064202854,0.4776818,0.16448268,0.0059264703,0.011974634,0.000110960245],"about_ca_topic_score_codex":0.021520227,"about_ca_topic_score_gemma":0.030882057,"teacher_disagreement_score":0.021520227,"about_ca_system_score_codex":0.0010916018,"about_ca_system_score_gemma":0.0010573711,"threshold_uncertainty_score":0.042789936},"labels":[],"label_agreement":null},{"id":"W2255469947","doi":"10.1287/trsc.2015.0646","title":"50th Anniversary Invited Article—Goods Distribution with Electric Vehicles: Review and Research Perspectives","year":2016,"lang":"en","type":"article","venue":"Transportation Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":299,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Popularity; Distribution (mathematics); Electric vehicle; Marketing; Transport engineering; Market research; Business; Driving range; Engineering; Industrial organization; Operations research; Political science","score_opus":0.012090626693916258,"score_gpt":0.2664546609831448,"score_spread":0.25436403428922855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255469947","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023996615,0.97691864,0.00012761993,0.0031812596,0.016364753,0.000007721251,0.000057019734,0.000014266125,0.0030887653],"genre_scores_gemma":[0.00225874,0.9665571,0.00021234433,0.002577297,0.02373482,0.000014603268,0.000152125,0.000012175171,0.004480728],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944025,0.000081109974,0.00008958238,0.00012631505,0.00019988239,0.00006277737],"domain_scores_gemma":[0.9973711,0.00087439764,0.00033690684,0.0000588184,0.0010418714,0.0003169076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348368,0.0009728756,0.0015232575,0.004616802,0.0004036718,0.0023401892,0.0013927586,0.0023084932,0.01615194],"category_scores_gemma":[0.002913821,0.00039454928,0.00081149966,0.0046730004,0.00066342636,0.0035600387,0.0016454041,0.0025137842,0.007722639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022502948,0.0001716829,0.00070676877,0.022602519,0.00017927488,0.00052769814,0.00015683677,0.00047914352,0.0019324011,0.0043831742,0.52383614,0.4447993],"study_design_scores_gemma":[0.000009513935,0.00010012794,0.0011435865,0.0048354985,0.00012623519,0.00059741415,0.000083416555,0.000086512555,0.00031152286,0.000904001,0.9917779,0.000024155835],"about_ca_topic_score_codex":0.00159167,"about_ca_topic_score_gemma":0.0023360837,"teacher_disagreement_score":0.01615194,"about_ca_system_score_codex":0.0010191245,"about_ca_system_score_gemma":0.0013710642,"threshold_uncertainty_score":0.054033577},"labels":[],"label_agreement":null},{"id":"W2256094151","doi":"10.14288/1.0108536","title":"Electric vehicle charging : impact review for multi-user residential buildings in British Columbia","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Electric light; Electric vehicle; Engineering; Environmental science; Computer science; Electrical engineering; Power (physics)","score_opus":0.005395017379762407,"score_gpt":0.1857466538830887,"score_spread":0.18035163650332628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256094151","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045938543,0.9804617,0.00015754122,0.0016876057,0.00028688298,0.00020670619,0.0020215225,0.00003545971,0.010548633],"genre_scores_gemma":[0.02489569,0.97036666,0.00031228483,0.0005065626,0.00008393082,0.000118342236,0.0011409187,0.000020203403,0.0025553869],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759644,0.0003268672,0.00034205834,0.0001220943,0.0013523292,0.00026032157],"domain_scores_gemma":[0.9822187,0.0034485213,0.0014887308,0.00018746853,0.011894126,0.00076257397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00422936,0.0008081983,0.0018641797,0.008323273,0.0009273557,0.003219072,0.0015327987,0.0007561636,0.005285228],"category_scores_gemma":[0.010909442,0.0004858729,0.0017734532,0.015581204,0.00054753723,0.00085263123,0.0009768491,0.0010971893,0.0005713585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069669285,0.00015733467,0.004871473,0.09247198,0.000999274,0.00013230953,0.0003507061,0.001062996,0.00057693484,0.0012534488,0.06320756,0.8342193],"study_design_scores_gemma":[0.00019005871,0.0006775324,0.08914455,0.20307566,0.0068764933,0.00034421607,0.0014694537,0.0006328226,0.001236247,0.0006777744,0.6954862,0.00018900835],"about_ca_topic_score_codex":0.7412024,"about_ca_topic_score_gemma":0.91608024,"teacher_disagreement_score":0.2587976,"about_ca_system_score_codex":0.021304222,"about_ca_system_score_gemma":0.052271828,"threshold_uncertainty_score":0.52064335},"labels":[],"label_agreement":null},{"id":"W2264275680","doi":"10.14288/1.0108753","title":"An investigation into a sustainable AMS food delivery system","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Delivery system; Computer science; Medicine; Biomedical engineering","score_opus":0.010008279974111254,"score_gpt":0.20556874948039283,"score_spread":0.1955604695062816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264275680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91014373,0.00047200176,0.0109631,0.001005026,0.000099669945,0.0010286412,0.0009037974,0.00027439618,0.07510962],"genre_scores_gemma":[0.9597875,0.0006292317,0.015193617,0.00022096917,0.000014527953,0.00028006957,0.00088080077,0.000057785477,0.022935448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776113,0.00037729045,0.00007521933,0.00023429088,0.001360611,0.00019151976],"domain_scores_gemma":[0.99867815,0.00020828214,0.000107107975,0.00007303816,0.0008648275,0.000068577145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516871,0.00038602363,0.00031460467,0.0016530534,0.0012908273,0.0025055872,0.0010113096,0.00085146213,0.0060266685],"category_scores_gemma":[0.0023976956,0.00027427313,0.0007013605,0.001338407,0.0006414127,0.0017503134,0.0010598368,0.0005053985,0.0017580147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00237949,0.0034135792,0.2580758,0.0030505874,0.00026686423,0.004505138,0.0051325085,0.062057626,0.20757282,0.035938926,0.0151465405,0.4024601],"study_design_scores_gemma":[0.0003914864,0.01558914,0.18103077,0.0007844306,0.0004294645,0.0015821425,0.04705719,0.1363976,0.28988263,0.010915075,0.31563213,0.00030794917],"about_ca_topic_score_codex":0.014791229,"about_ca_topic_score_gemma":0.015356246,"teacher_disagreement_score":0.014791229,"about_ca_system_score_codex":0.0037405752,"about_ca_system_score_gemma":0.003436415,"threshold_uncertainty_score":0.029410243},"labels":[],"label_agreement":null},{"id":"W2269974025","doi":"10.3390/wevj4020307","title":"Trends and insight in heavy-duty vehicle electrification","year":2010,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Tekes; Bundesamt für Energie; Australian Government; Natural Resources Canada; U.S. Department of Energy","keywords":"Electrification; Truck; Heavy duty; Software deployment; Transport engineering; Work (physics); Duty; Business; Engineering; Automotive engineering; Electrical engineering","score_opus":0.004166463251204075,"score_gpt":0.20016501361210262,"score_spread":0.19599855036089855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269974025","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.809536,0.06105631,0.004977513,0.011060032,0.00043928047,0.00006508365,0.003985114,0.00013527287,0.10874537],"genre_scores_gemma":[0.9370441,0.043133963,0.0022625658,0.0008958137,0.0002506005,0.000021390877,0.0027081897,0.00003973608,0.013643716],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966586,0.000027628923,0.00004472325,0.000088867506,0.000118954966,0.00005398689],"domain_scores_gemma":[0.99842227,0.00041333114,0.00042164,0.000049808183,0.00062055455,0.0000722928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061996124,0.00018228906,0.00018938631,0.0022217806,0.0001707005,0.0014307145,0.00030141417,0.00043491958,0.0030633847],"category_scores_gemma":[0.0016949793,0.000112835674,0.00018856359,0.0049442896,0.0003663155,0.002173402,0.0004898882,0.0005978155,0.0004417601],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062527275,0.00017873495,0.28653228,0.0026501853,0.000108078515,0.00076771365,0.0041501992,0.0036712086,0.0076913387,0.0670638,0.014701468,0.61185974],"study_design_scores_gemma":[0.000012916476,0.00026786965,0.5293802,0.0007284167,0.000056323686,0.0009798582,0.0072747367,0.0023672106,0.006721032,0.0056046727,0.4465566,0.00005024029],"about_ca_topic_score_codex":0.0052083624,"about_ca_topic_score_gemma":0.005194582,"teacher_disagreement_score":0.0052083624,"about_ca_system_score_codex":0.0008644505,"about_ca_system_score_gemma":0.0005800527,"threshold_uncertainty_score":0.010356128},"labels":[],"label_agreement":null},{"id":"W2277172626","doi":"","title":"An Electric-Drive Vehicle Strategy for Sweden","year":2000,"lang":"en","type":"article","venue":"Institute of Transportation Studies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Truck; Battery electric vehicle; Electricity; Miles per gallon gasoline equivalent; Electrification; Automotive engine; Electric vehicle; Engineering; Automotive engineering; Green vehicle; Transport engineering; Business; Fuel efficiency; Electrical engineering","score_opus":0.02130141567716584,"score_gpt":0.27617429366919,"score_spread":0.2548728779920242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277172626","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06826208,0.010428444,0.0031423958,0.10953241,0.0024214622,0.00011805249,0.00015508372,0.00019055042,0.8057495],"genre_scores_gemma":[0.3941525,0.010520731,0.0031006024,0.014636409,0.00029134276,0.00015336358,0.00029517585,0.00007820587,0.5767718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995154,0.0000935033,0.000021328164,0.000059191087,0.00014418214,0.0001663529],"domain_scores_gemma":[0.99972886,0.00003088232,0.000017488625,0.0000075538755,0.000117665906,0.00009749322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050710264,0.0004877504,0.00014470126,0.00066580984,0.0022978964,0.0054707793,0.0005647907,0.0031058146,0.008368506],"category_scores_gemma":[0.0007125981,0.00013788401,0.00029487335,0.0004917889,0.0006867645,0.00128835,0.002070937,0.0010719963,0.0029190152],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011495939,0.00028174816,0.0035067839,0.00041543454,0.00004120206,0.002667135,0.005351191,0.0046149227,0.001982018,0.60355836,0.23433723,0.14312902],"study_design_scores_gemma":[0.000020976977,0.000049000915,0.00080932246,0.00021264656,0.000014326585,0.0002732155,0.0044966047,0.00047861086,0.0007443154,0.008962917,0.9839241,0.000013938635],"about_ca_topic_score_codex":0.013369746,"about_ca_topic_score_gemma":0.018092524,"teacher_disagreement_score":0.013369746,"about_ca_system_score_codex":0.0037961414,"about_ca_system_score_gemma":0.009073536,"threshold_uncertainty_score":0.027995408},"labels":[],"label_agreement":null},{"id":"W2280455288","doi":"","title":"New Electricity: Generation, Pricing, Wheeling & Regulation","year":2002,"lang":"en","type":"article","venue":"Canada-United States law journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wheeling; Electricity; Electricity generation; Business; Electricity pricing; Electricity retailing; Electricity market; Economics; Industrial organization; Engineering; Electrical engineering; Power (physics); Physics","score_opus":0.0077191902772683,"score_gpt":0.1726632360667919,"score_spread":0.1649440457895236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280455288","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081385365,0.025080772,0.0028815435,0.03156884,0.0014684116,0.00004377398,0.0007829785,0.0000986826,0.92993647],"genre_scores_gemma":[0.20068829,0.017298728,0.0016761043,0.011254588,0.0015020526,0.0000738362,0.0003410321,0.00010092674,0.7670646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887043,0.00010194905,0.00002634559,0.00008657685,0.00072495994,0.00018982722],"domain_scores_gemma":[0.9995053,0.00016047532,0.000041110387,0.000036736088,0.00019697053,0.00005941796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005152,0.0004235045,0.00025872423,0.001289577,0.003486367,0.008978213,0.00075202907,0.0046850923,0.018302485],"category_scores_gemma":[0.002211322,0.00046052164,0.00029609824,0.0026021393,0.004360324,0.004009004,0.000982598,0.003407449,0.001511348],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011266299,0.000022352526,0.00051502767,0.000028221444,0.000004001988,0.00007398001,0.0005055382,0.0005249609,0.000107467844,0.85509026,0.126586,0.016530935],"study_design_scores_gemma":[0.000010550572,0.000011889169,0.0041425694,0.000117309115,0.000011899697,0.00010683103,0.00085358974,0.00064019137,0.00023766073,0.095445916,0.89839107,0.000030536085],"about_ca_topic_score_codex":0.74422896,"about_ca_topic_score_gemma":0.86462045,"teacher_disagreement_score":0.74422896,"about_ca_system_score_codex":0.019198496,"about_ca_system_score_gemma":0.015313829,"threshold_uncertainty_score":0.5145546},"labels":[],"label_agreement":null},{"id":"W2286842251","doi":"","title":"New Electricity: Generation, Pricing, Wheeling & Regulation","year":2002,"lang":"en","type":"article","venue":"Canada-United States law journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wheeling; Electricity; Electricity generation; Electricity pricing; Business; Economics; Electricity retailing; Electricity market; Industrial organization; Engineering; Power (physics); Electrical engineering; Physics","score_opus":0.0077191902772683,"score_gpt":0.1726632360667919,"score_spread":0.1649440457895236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286842251","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081385365,0.025080772,0.0028815435,0.03156884,0.0014684116,0.00004377398,0.0007829785,0.0000986826,0.92993647],"genre_scores_gemma":[0.20068829,0.017298728,0.0016761043,0.011254588,0.0015020526,0.0000738362,0.0003410321,0.00010092674,0.7670646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887043,0.00010194905,0.00002634559,0.00008657685,0.00072495994,0.00018982722],"domain_scores_gemma":[0.9995053,0.00016047532,0.000041110387,0.000036736088,0.00019697053,0.00005941796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005152,0.0004235045,0.00025872423,0.001289577,0.003486367,0.008978213,0.00075202907,0.0046850923,0.018302485],"category_scores_gemma":[0.002211322,0.00046052164,0.00029609824,0.0026021393,0.004360324,0.004009004,0.000982598,0.003407449,0.001511348],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011266299,0.000022352526,0.00051502767,0.000028221444,0.000004001988,0.00007398001,0.0005055382,0.0005249609,0.000107467844,0.85509026,0.126586,0.016530935],"study_design_scores_gemma":[0.000010550572,0.000011889169,0.0041425694,0.000117309115,0.000011899697,0.00010683103,0.00085358974,0.00064019137,0.00023766073,0.095445916,0.89839107,0.000030536085],"about_ca_topic_score_codex":0.74422896,"about_ca_topic_score_gemma":0.86462045,"teacher_disagreement_score":0.74422896,"about_ca_system_score_codex":0.019198496,"about_ca_system_score_gemma":0.015313829,"threshold_uncertainty_score":0.5145546},"labels":[],"label_agreement":null},{"id":"W2289102206","doi":"10.1186/s40064-016-1802-8","title":"Intelligent emission-sensitive routing for plugin hybrid electric vehicles","year":2016,"lang":"en","type":"article","venue":"SpringerPlus","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Plug-in; Backup; Shortest path problem; Automotive engineering; Battery (electricity); Routing (electronic design automation); Engineering; Embedded system","score_opus":0.00723365349534861,"score_gpt":0.21052397511451829,"score_spread":0.20329032161916968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289102206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09542481,0.00042206727,0.8940975,0.00034535542,0.000104603765,0.0000955833,0.00013964411,0.001078534,0.008291907],"genre_scores_gemma":[0.8707474,0.00024845384,0.1241895,0.00008319868,0.00002261345,0.000098638484,0.00024535513,0.00008393755,0.0042808354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998264,0.00004870933,0.0000067871238,0.000042944117,0.00004568876,0.000029503663],"domain_scores_gemma":[0.99979407,0.000088362525,0.000037312424,0.000017553513,0.000045972953,0.000016739268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024037596,0.00082858826,0.00046096873,0.00041590474,0.00044961812,0.00061604613,0.000616427,0.00038521417,0.0013521726],"category_scores_gemma":[0.00063941535,0.00030378558,0.00039597662,0.00038320466,0.00040281398,0.0005491286,0.00061020517,0.00038001803,0.00017050139],"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":[0.00003169836,0.000019750836,0.0003465958,0.00002118331,0.000011417854,0.000032815457,0.000027214388,0.9711326,0.0019384555,0.003556409,0.0006425625,0.022239424],"study_design_scores_gemma":[0.000003540507,0.000013360689,0.000075961085,0.0000017178834,0.0000026398052,0.000010196052,0.000013510665,0.99629456,0.0003938163,0.0024868886,0.00070094224,0.0000028868153],"about_ca_topic_score_codex":0.0062146187,"about_ca_topic_score_gemma":0.006821755,"teacher_disagreement_score":0.0062146187,"about_ca_system_score_codex":0.0009303822,"about_ca_system_score_gemma":0.0007169669,"threshold_uncertainty_score":0.012356877},"labels":[],"label_agreement":null},{"id":"W2290115671","doi":"10.1049/iet-est.2016.0006","title":"Guest Editorial <i>Special Issue based on</i> “Energy Storage and Electric power Sub‐Systems for Advanced Vehicles” <i>For Invited Papers of IEEE‐VPPC 2014</i>","year":2016,"lang":"en","type":"editorial","venue":"IET Electrical Systems in Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"Université Laval","keywords":"Engineering; Energy storage; Electric power system; Automotive engineering; Engineering physics; Electrical engineering; Power (physics); Systems engineering; Physics","score_opus":0.002022025824424139,"score_gpt":0.19415902898019036,"score_spread":0.1921370031557662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290115671","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025833008,0.006328744,0.0006108539,0.014726176,0.96381533,0.000067977715,0.00029866953,0.00030556924,0.013588292],"genre_scores_gemma":[0.00206297,0.008568949,0.0003732171,0.0103219645,0.90190405,0.00006444283,0.00060498406,0.00035583263,0.07574361],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839324,0.00015083064,0.00014983054,0.00037903382,0.0007209032,0.00020615672],"domain_scores_gemma":[0.9940328,0.0008325561,0.0004308605,0.00018229346,0.0032705804,0.0012508915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014852465,0.0023517422,0.0021011413,0.0027589053,0.0015735758,0.0060899323,0.002436509,0.004161876,0.121790186],"category_scores_gemma":[0.004428498,0.0005792566,0.0018550158,0.0010730819,0.0007133085,0.003690396,0.0015326521,0.005145974,0.06950237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006343644,0.00001768913,0.000036138652,0.00028125156,0.0000098228065,0.000073092575,0.00000854184,0.000024228077,0.0005762598,0.00023178187,0.98907006,0.009607683],"study_design_scores_gemma":[0.00002136635,0.00005024793,0.00024693424,0.00012420837,0.000021117827,0.00022983,0.000025481442,0.00010914691,0.00056030846,0.0003765175,0.9982224,0.000012436737],"about_ca_topic_score_codex":0.0005125275,"about_ca_topic_score_gemma":0.0009470693,"teacher_disagreement_score":0.121790186,"about_ca_system_score_codex":0.0013358027,"about_ca_system_score_gemma":0.0011401583,"threshold_uncertainty_score":0.40742874},"labels":[],"label_agreement":null},{"id":"W2293810585","doi":"","title":"How Future Plug-in Electric Vehicle Buyers Differ from Present Owners","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Purchasing; Electricity; Marketing; Electric vehicle; Business; Consumer behaviour; Electric cars; Economics; Environmental economics; Engineering; Power (physics); Automotive engineering","score_opus":0.019633306728702497,"score_gpt":0.2870866624814123,"score_spread":0.2674533557527098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293810585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967188,0.00021485782,0.00007602917,0.00038627375,0.000008810766,0.0000062288377,0.00006882893,0.0000011882912,0.0025189004],"genre_scores_gemma":[0.9982266,0.00021770605,0.000044818644,0.00012422678,0.0000067531614,0.0000041750936,0.00010330574,0.00000216233,0.0012701952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938357,0.00014944487,0.000026922573,0.00007480925,0.00018173007,0.00018358312],"domain_scores_gemma":[0.99775344,0.0007407319,0.0005327515,0.000103961676,0.0003320618,0.0005370336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013213645,0.000086404674,0.00018901739,0.0005319671,0.00070317055,0.0024511945,0.00048910617,0.00056838326,0.0041406597],"category_scores_gemma":[0.0050005666,0.00019453453,0.00032153798,0.0006112561,0.0005198796,0.002510982,0.00069976714,0.0007450769,0.0006603194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002350787,0.00020849294,0.95284235,0.000034543966,0.00005254131,0.00033764244,0.017033577,0.000122189,0.00029910528,0.0018160433,0.001830251,0.025188211],"study_design_scores_gemma":[0.000014609421,0.00014195718,0.91877455,0.00005621864,0.000031138028,0.00050216296,0.07209612,0.0006663055,0.0002385591,0.001108459,0.006332872,0.00003711554],"about_ca_topic_score_codex":0.017427888,"about_ca_topic_score_gemma":0.01913587,"teacher_disagreement_score":0.017427888,"about_ca_system_score_codex":0.00061381696,"about_ca_system_score_gemma":0.0003864053,"threshold_uncertainty_score":0.03465289},"labels":[],"label_agreement":null},{"id":"W2298312755","doi":"10.4271/2016-01-1253","title":"Control Analysis for Efficiency Optimization of a High Performance Hybrid Electric Vehicle with Both Pre and Post Transmission Motors","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric vehicle; Automotive engineering; Electric motor; Transmission (telecommunications); Control (management); Computer science; Traction motor; Control engineering; Engineering; Electrical engineering; Physics; Telecommunications; Artificial intelligence","score_opus":0.002301760138540254,"score_gpt":0.1777136470638526,"score_spread":0.17541188692531234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298312755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3274839,0.000638663,0.58930975,0.00046838977,0.000078941564,0.00021405931,0.0001853971,0.00063137565,0.08098954],"genre_scores_gemma":[0.98943734,0.0000732371,0.0036849312,0.000017755947,0.0000076399565,0.000045983004,0.00004060735,0.000023435436,0.0066690017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998023,0.00003592511,0.0000061655937,0.000030322773,0.00009237095,0.000032928747],"domain_scores_gemma":[0.99975806,0.00010834276,0.000028989089,0.000010207054,0.00008836693,0.0000061418586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049646286,0.0005133501,0.00041010292,0.00033277142,0.00026602627,0.0008680079,0.0003030852,0.00030720924,0.0047175675],"category_scores_gemma":[0.000533069,0.0002000749,0.00046830036,0.00017669662,0.00032365177,0.0002814265,0.00023175201,0.00034439962,0.0004033329],"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":[0.00018374916,0.00007067587,0.00055130397,0.00009900997,0.000039761326,0.000070177055,0.000046766498,0.95629126,0.020643905,0.0041626953,0.0008162101,0.017024426],"study_design_scores_gemma":[0.000007784145,0.0000714076,0.00034364086,0.0000027062317,0.000009543275,0.0000051730103,0.000009406707,0.9970476,0.0019043599,0.00024292839,0.00035264273,0.0000028271356],"about_ca_topic_score_codex":0.009649598,"about_ca_topic_score_gemma":0.006902135,"teacher_disagreement_score":0.009649598,"about_ca_system_score_codex":0.0008683988,"about_ca_system_score_gemma":0.00051828247,"threshold_uncertainty_score":0.019186854},"labels":[],"label_agreement":null},{"id":"W2301937685","doi":"10.3934/energy.2016.2.379","title":"Game-theoretic control of PHEV charging with power flow analysis","year":2016,"lang":"en","type":"article","venue":"AIMS energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Power flow; Control (management); Power (physics); Automotive engineering; Flow (mathematics); Computer science; Electrical engineering; Control theory (sociology); Engineering; Physics; Electric power system; Mechanics; Artificial intelligence","score_opus":0.0011792350879848853,"score_gpt":0.1456845770846888,"score_spread":0.1445053419967039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301937685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02644006,0.00020147036,0.9551959,0.00035490928,0.00008613293,0.00014257399,0.000109022294,0.00013312354,0.017336888],"genre_scores_gemma":[0.9729417,0.00020572534,0.020329222,0.00009889362,0.000039833285,0.00017576345,0.00005101479,0.000030245536,0.006127689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992361,0.00030857985,0.00002272076,0.00012393412,0.0001649156,0.00014377365],"domain_scores_gemma":[0.9985808,0.00094876776,0.00016096406,0.00003657304,0.0002014322,0.000071478265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014743241,0.0013464668,0.0011358199,0.00053299236,0.0005555318,0.0016676562,0.00133801,0.0011394873,0.0037593977],"category_scores_gemma":[0.003444336,0.0005320921,0.00073619524,0.00049981865,0.001385379,0.0011612484,0.0011416326,0.001400233,0.00028475947],"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":[0.000042429394,0.000035426787,0.00014442987,0.00003595833,0.000016213673,0.000064556516,0.000037178965,0.971833,0.00067379326,0.023385638,0.0004940097,0.003237341],"study_design_scores_gemma":[0.0000072481657,0.000015558428,0.000032151656,0.0000019129575,0.0000027955473,0.000004897904,0.000006941503,0.99536693,0.000066691806,0.004336972,0.00015518042,0.000002704276],"about_ca_topic_score_codex":0.010497022,"about_ca_topic_score_gemma":0.005327377,"teacher_disagreement_score":0.010497022,"about_ca_system_score_codex":0.0017094315,"about_ca_system_score_gemma":0.0016694831,"threshold_uncertainty_score":0.020871878},"labels":[],"label_agreement":null},{"id":"W2304334958","doi":"10.2172/1133865","title":"AVTA Federal Fleet PEV Readiness Data Logging and Characterization Study for the National Park Service: Fort Vancouver National Historic Site","year":2014,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Park Service; Office of Nuclear Energy; Battelle; Idaho Operations Office, U.S. Department of Energy; U.S. Department of Energy","keywords":"Truck; Fleet management; Transport engineering; Service (business); Electric vehicle; Engineering; Aeronautics; Agency (philosophy); TRIPS architecture; Battery electric vehicle; Automotive engineering; Business","score_opus":0.035711873140912315,"score_gpt":0.27564447577262424,"score_spread":0.23993260263171193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304334958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86868805,0.00014530729,0.0026248493,0.0008463511,0.000060875616,0.0013559476,0.032074608,0.00035994593,0.09384407],"genre_scores_gemma":[0.8471849,0.0004015869,0.007303015,0.0003625324,0.000028905048,0.0009727969,0.06369627,0.0001490706,0.079900905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990846,0.00005247231,0.000022021442,0.0001021387,0.00058610516,0.0001526106],"domain_scores_gemma":[0.9963096,0.00012534809,0.000101096004,0.00016508406,0.0029723248,0.00032654396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061566517,0.0002601951,0.00020822628,0.0015970529,0.002429498,0.001372606,0.0009726171,0.0003439234,0.0068733604],"category_scores_gemma":[0.0016462761,0.0002763038,0.0001904549,0.001782282,0.00031267843,0.00047911797,0.00064233644,0.00085055194,0.0021588975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044761423,0.0018575641,0.66263324,0.00016569454,0.00007231406,0.0011645783,0.0030809601,0.004298392,0.0061946595,0.0018113015,0.13168037,0.18659346],"study_design_scores_gemma":[0.000053441214,0.00045409315,0.8616045,0.00009203993,0.000022285392,0.00033037236,0.014619753,0.0054276953,0.002656387,0.00018409733,0.11450751,0.000047869053],"about_ca_topic_score_codex":0.81861943,"about_ca_topic_score_gemma":0.9396175,"teacher_disagreement_score":0.81861943,"about_ca_system_score_codex":0.0049301703,"about_ca_system_score_gemma":0.009384891,"threshold_uncertainty_score":0.3648975},"labels":[],"label_agreement":null},{"id":"W2308256145","doi":"10.1109/smartgridcomm.2015.7436391","title":"Risk-averse forward contract for electric vehicle frequency regulation service","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"News aggregator; Forward contract; CVAR; Computer science; Operations research; Revenue; Service (business); Mathematical optimization; Expected shortfall; Risk management; Business; Engineering; Mathematics; Finance","score_opus":0.00836053557299206,"score_gpt":0.20458493613154094,"score_spread":0.19622440055854887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308256145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059638508,0.0005016757,0.93147284,0.000722569,0.000107440195,0.00032200507,0.0002710754,0.00035383555,0.0066100266],"genre_scores_gemma":[0.7774393,0.0005431239,0.21250038,0.00020114625,0.00010360977,0.00029209084,0.00054231915,0.00015455931,0.0082234945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845374,0.00053323293,0.000060602368,0.00029165443,0.00034351757,0.0003172528],"domain_scores_gemma":[0.9956825,0.0030577967,0.00040912026,0.00016290808,0.0003379966,0.00034967824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031310397,0.0011970031,0.0020083752,0.00079879846,0.0011030387,0.001844402,0.0020984744,0.0016544682,0.006978283],"category_scores_gemma":[0.005770797,0.0008547275,0.0012845069,0.0010861332,0.0011438961,0.002476287,0.0019474057,0.0027581376,0.0006286115],"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":[0.00016547019,0.00011093665,0.0010006094,0.00006427701,0.000025434187,0.00012970773,0.00007132643,0.94557095,0.00063360075,0.02122254,0.0022898717,0.028715272],"study_design_scores_gemma":[0.000012731994,0.000023454686,0.00007749985,0.0000058725195,0.0000046803466,0.000028319828,0.0000150039,0.99499846,0.000182044,0.004314796,0.0003311803,0.00000589907],"about_ca_topic_score_codex":0.012845298,"about_ca_topic_score_gemma":0.010015136,"teacher_disagreement_score":0.012845298,"about_ca_system_score_codex":0.002938149,"about_ca_system_score_gemma":0.0045822887,"threshold_uncertainty_score":0.025541067},"labels":[],"label_agreement":null},{"id":"W2309786173","doi":"10.1109/smartgridcomm.2015.7436299","title":"A firm-union bargaining game approach for PHEV charging access control","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"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 Alberta","funders":"University of Alberta","keywords":"Purchasing; Bargaining problem; Electricity; Revenue; Nash equilibrium; Game theory; Control (management); Computer science; Business; Microeconomics; Economics; Engineering; Finance; Marketing","score_opus":0.02124856630137477,"score_gpt":0.2382370687509015,"score_spread":0.21698850244952672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309786173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008875048,0.00024335054,0.9752509,0.00031712026,0.0000891209,0.000117106225,0.00007336753,0.000051652616,0.014982394],"genre_scores_gemma":[0.861411,0.0007253634,0.117966704,0.00025236863,0.0001346323,0.00048645862,0.00010085464,0.000044603014,0.018877998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764377,0.0011587141,0.00006790756,0.0004112991,0.00036353082,0.00035470264],"domain_scores_gemma":[0.9982768,0.0011152071,0.00020431839,0.0000665408,0.00019010906,0.00014690477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027747802,0.0017478068,0.0020861817,0.0008509881,0.0012076279,0.0027229541,0.003502901,0.0030006648,0.009887527],"category_scores_gemma":[0.0039047995,0.0008460097,0.0014081905,0.0013022455,0.0021936994,0.0024294758,0.0023173708,0.003276282,0.00093796634],"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":[0.00008952791,0.00009190579,0.00030395496,0.000092371505,0.00005592621,0.00037392837,0.00013722187,0.77434385,0.0011678595,0.21308202,0.0015191938,0.0087422645],"study_design_scores_gemma":[0.000019212546,0.000034954213,0.000050140563,0.000008798746,0.00001332323,0.000030932213,0.000034469616,0.9722553,0.00013076636,0.02652977,0.0008779833,0.0000144390215],"about_ca_topic_score_codex":0.0066438755,"about_ca_topic_score_gemma":0.0064940015,"teacher_disagreement_score":0.009887527,"about_ca_system_score_codex":0.0029340254,"about_ca_system_score_gemma":0.0022724192,"threshold_uncertainty_score":0.03307706},"labels":[],"label_agreement":null},{"id":"W2310382299","doi":"","title":"Navistar eStar Vehicle Performance Evaluation - 1st Quarter 2014; Energy Efficiency & Renewable Energy (EERE), Vehicle Technologies Office (VTO)","year":2014,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Renewable energy; Quarter (Canadian coin); Transport engineering; Purchasing; Electric vehicle; Business; Environmental economics; Engineering; Operations management; Automotive engineering; Geography; Economics; Power (physics)","score_opus":0.005844871221159321,"score_gpt":0.19628784819589387,"score_spread":0.19044297697473456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310382299","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11811029,0.0031515267,0.01935582,0.009669807,0.0027729757,0.00316181,0.12620987,0.006040382,0.7115275],"genre_scores_gemma":[0.22334833,0.0022681255,0.021797542,0.0011584052,0.00035194916,0.0012426262,0.13355862,0.0022078855,0.61406654],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99183345,0.00088925206,0.00017522657,0.00034312884,0.006311966,0.00044690105],"domain_scores_gemma":[0.9898552,0.0003399641,0.0003778202,0.00033169918,0.008734503,0.00036083363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076393425,0.00092120585,0.00060295063,0.0015414144,0.0011870486,0.0028855926,0.0016757016,0.0010050314,0.03156441],"category_scores_gemma":[0.00560701,0.0004422459,0.00039948855,0.0014612664,0.00047752558,0.0011409736,0.0011197142,0.0009977468,0.016768398],"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":[0.0011563095,0.0011300525,0.0100128325,0.00024872468,0.000058209378,0.000074928015,0.00016060802,0.0038365708,0.0051215612,0.0033722417,0.8479705,0.12685746],"study_design_scores_gemma":[0.00036046965,0.0024268646,0.060354628,0.0002681763,0.000057925787,0.000084376254,0.00051480206,0.008653863,0.021345098,0.0008048049,0.9050354,0.00009359805],"about_ca_topic_score_codex":0.065517694,"about_ca_topic_score_gemma":0.086242035,"teacher_disagreement_score":0.065517694,"about_ca_system_score_codex":0.0050250823,"about_ca_system_score_gemma":0.008409653,"threshold_uncertainty_score":0.13027269},"labels":[],"label_agreement":null},{"id":"W2314669240","doi":"10.1109/tste.2014.2356551","title":"Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"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","keywords":"Wind power; Penetration (warfare); Automotive engineering; Distributed generation; AC power; Wind speed; Electric power system; Electrical engineering; Voltage; Environmental science; Engineering; Computer science; Power (physics); Renewable energy; Physics; Meteorology","score_opus":0.0036354260868958887,"score_gpt":0.18984152749919253,"score_spread":0.18620610141229665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314669240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317622,0.00069697795,0.05273176,0.00016233535,0.000047290425,0.000029672467,0.00016847978,0.00017881906,0.014222479],"genre_scores_gemma":[0.9986627,0.000088895584,0.0006329864,0.000006889128,0.0000030106019,0.0000022502309,0.000024493078,0.0000071970444,0.00057151867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.00008775984,0.000008387158,0.000025562036,0.00006617502,0.00003565421],"domain_scores_gemma":[0.9991924,0.00055739185,0.0000778309,0.000038572212,0.00011189355,0.000021979462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033290818,0.00042415535,0.00023104096,0.00023005312,0.00019846956,0.000563681,0.00025132694,0.00034948456,0.001645217],"category_scores_gemma":[0.0012986177,0.00017381308,0.00020219325,0.0002853397,0.00027261142,0.00070905115,0.00034728044,0.0002805732,0.00015270672],"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":[0.00012880379,0.00003892641,0.004290247,0.00004699077,0.00003516219,0.0003839328,0.000024660681,0.97886777,0.0032161037,0.0014428085,0.00019058544,0.0113340095],"study_design_scores_gemma":[0.000015501859,0.00020474216,0.0061610416,0.000014674234,0.0000374031,0.00012217298,0.000083103965,0.98741895,0.0036832404,0.0015114186,0.0007389217,0.000008748323],"about_ca_topic_score_codex":0.0029636656,"about_ca_topic_score_gemma":0.004396463,"teacher_disagreement_score":0.0029636656,"about_ca_system_score_codex":0.0005274035,"about_ca_system_score_gemma":0.00021124106,"threshold_uncertainty_score":0.005892813},"labels":[],"label_agreement":null},{"id":"W2316920871","doi":"10.1504/ijpt.2016.075186","title":"Component sizing of a power-split plug-in hybrid electric vehicle for optimal fuel economy","year":2016,"lang":"en","type":"article","venue":"International Journal of Powertrains","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Powertrain; Automotive engineering; Sizing; Electric vehicle; Automotive industry; Plug-in; Hybrid vehicle; Fuel efficiency; Power (physics); Flexibility (engineering); Computer science; Engineering; Torque","score_opus":0.005854068082279469,"score_gpt":0.22053498842758149,"score_spread":0.214680920345302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316920871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57282513,0.00035780334,0.4056416,0.00013836802,0.000049662645,0.00024059815,0.0003069376,0.00047137885,0.019968554],"genre_scores_gemma":[0.9667685,0.00007292318,0.030892655,0.000009360929,0.0000023987948,0.00007112599,0.00008339979,0.000029758616,0.002069828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999312,0.000015324656,0.0000024353246,0.00001288181,0.000024176832,0.000013945092],"domain_scores_gemma":[0.9999248,0.00003643109,0.000010794284,0.0000050754643,0.000017282988,0.0000055995897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019705345,0.00047807893,0.0004250973,0.0003979279,0.00025582098,0.00070077693,0.00045235662,0.0003619598,0.0018683233],"category_scores_gemma":[0.00034002,0.00038607372,0.00040481688,0.00028133957,0.00021706952,0.00041521402,0.0002525414,0.000337968,0.00020316878],"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":[0.000054824177,0.000021989072,0.00033389058,0.00005827161,0.000010386634,0.000050650673,0.000024131394,0.9810018,0.0058962265,0.00082465634,0.00018032664,0.011542907],"study_design_scores_gemma":[0.000010217895,0.00007263364,0.00043000837,0.000005384956,0.000014481923,0.000014599488,0.0000233414,0.9950127,0.0031811518,0.0005614499,0.00067010464,0.0000038310895],"about_ca_topic_score_codex":0.0063964613,"about_ca_topic_score_gemma":0.0112110255,"teacher_disagreement_score":0.0063964613,"about_ca_system_score_codex":0.0005730821,"about_ca_system_score_gemma":0.00084967265,"threshold_uncertainty_score":0.012718499},"labels":[],"label_agreement":null},{"id":"W2319929898","doi":"10.1109/tsg.2016.2530660","title":"Robust Frequency Regulation Capacity Scheduling Algorithm for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automatic Generation Control; Demand response; Computer science; Benchmark (surveying); Automatic frequency control; Scheduling (production processes); Electric power system; Compensation (psychology); Control theory (sociology); Engineering; Mathematical optimization; Power (physics); Telecommunications; Electricity; Control (management); Electrical engineering","score_opus":0.016100632843072168,"score_gpt":0.19880367176285577,"score_spread":0.1827030389197836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319929898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022680912,0.00027609456,0.97075033,0.00022870475,0.00006427449,0.00009368764,0.00010128978,0.000627552,0.0051770974],"genre_scores_gemma":[0.72714365,0.00022831684,0.2675552,0.00014052275,0.00007503242,0.00022699551,0.00030409935,0.00016194751,0.0041642766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995757,0.00010070503,0.000019424984,0.000107848005,0.00009058635,0.00010581601],"domain_scores_gemma":[0.9993457,0.00032737263,0.00011272478,0.000042172574,0.00012563275,0.000046351095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081522076,0.0009585219,0.0010956889,0.0006741606,0.0005017082,0.001005014,0.0012180065,0.00084608747,0.004134141],"category_scores_gemma":[0.001876222,0.0004189632,0.0004446857,0.00076929916,0.00055683305,0.00077378633,0.000842373,0.000934138,0.00066919863],"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":[0.00005654366,0.00003072382,0.000120342884,0.000024885607,0.000010191665,0.000023469003,0.000020652684,0.96701753,0.0007238962,0.0049852016,0.001099977,0.025886627],"study_design_scores_gemma":[0.000008856697,0.0000081903245,0.000018769684,0.0000015195754,0.0000012721629,0.00000358823,0.0000029241126,0.99865997,0.00012565256,0.0010111006,0.00015639428,0.0000018015037],"about_ca_topic_score_codex":0.009205947,"about_ca_topic_score_gemma":0.0062561114,"teacher_disagreement_score":0.009205947,"about_ca_system_score_codex":0.0013686084,"about_ca_system_score_gemma":0.0021097842,"threshold_uncertainty_score":0.018304706},"labels":[],"label_agreement":null},{"id":"W2320180085","doi":"10.1109/glocomw.2013.6855711","title":"VANET based online charging strategy for electric vehicles","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"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 Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Electric vehicle; Voltage drop; Charging station; Power (physics); Wireless ad hoc network; Distributed computing; Real-time computing; Voltage; Electrical engineering; Telecommunications; Engineering; Wireless","score_opus":0.009516163128922596,"score_gpt":0.20951105445616558,"score_spread":0.199994891327243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320180085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046210203,0.0003849306,0.9352063,0.000205477,0.00010940531,0.00011125109,0.000053124168,0.0004818146,0.017237332],"genre_scores_gemma":[0.9668163,0.00015157486,0.027433118,0.00006662489,0.000018859093,0.00006281816,0.00005738968,0.000026002674,0.005367233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972993,0.00007801734,0.000012682022,0.00004030738,0.0000746695,0.00006438068],"domain_scores_gemma":[0.9997998,0.000058557267,0.000029252076,0.00002110741,0.00006971131,0.00002161645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031744855,0.00059789926,0.00058953767,0.00043290542,0.00035677094,0.0007155423,0.00092086353,0.0004524733,0.0019348854],"category_scores_gemma":[0.0005766725,0.0002035135,0.00027500105,0.00045955053,0.00030479775,0.0007109275,0.0005449241,0.0003469429,0.00030541822],"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":[0.00017913202,0.00013675619,0.0006425857,0.0000925736,0.000036832396,0.00025945407,0.00010133127,0.8502197,0.007969927,0.027247248,0.0028943273,0.11022007],"study_design_scores_gemma":[0.000011227081,0.000047896796,0.00008515838,0.000002749329,0.0000052562036,0.00005403764,0.000024184812,0.99276394,0.0010398851,0.0044346587,0.0015244663,0.0000066261327],"about_ca_topic_score_codex":0.0028064784,"about_ca_topic_score_gemma":0.0031997203,"teacher_disagreement_score":0.0028064784,"about_ca_system_score_codex":0.000582065,"about_ca_system_score_gemma":0.00060981535,"threshold_uncertainty_score":0.006472826},"labels":[],"label_agreement":null},{"id":"W2327168173","doi":"10.1109/jsyst.2014.2349357","title":"Online Intelligent Demand Management of Plug-In Electric Vehicles in Future Smart Parking Lots","year":2015,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":117,"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 Waterloo","funders":"","keywords":"Smart grid; Plug-in; Computer science; Duration (music); Fuzzy logic; Electric vehicle; Integer programming; Energy management; Linear programming; Energy (signal processing); Mathematical optimization; Operations research; Engineering; Artificial intelligence; Algorithm; Electrical engineering; Mathematics","score_opus":0.01451034899712977,"score_gpt":0.22769153288264207,"score_spread":0.2131811838855123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327168173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14722466,0.00014655253,0.8466755,0.00025415295,0.000049934366,0.000076630415,0.000095692885,0.0006970226,0.0047798106],"genre_scores_gemma":[0.9878669,0.000020332582,0.011190773,0.000017813994,0.000010482958,0.000014214925,0.00003627434,0.000018396093,0.00082484586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963164,0.000092798124,0.000023354187,0.0000881176,0.0000815961,0.00008247459],"domain_scores_gemma":[0.99962974,0.00010589533,0.00008368123,0.000035386565,0.000102411315,0.000042956148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005315791,0.00050583057,0.00061687984,0.00037214477,0.00040465235,0.00096002995,0.00097366946,0.00047018772,0.001199701],"category_scores_gemma":[0.00074874255,0.00034997467,0.0002489238,0.00031714363,0.00028472472,0.001074942,0.0006412211,0.00038916065,0.00020827474],"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":[0.00024869485,0.00018901328,0.0028747902,0.00008971938,0.00004203523,0.00017466274,0.00019975094,0.8724494,0.011072623,0.0069626113,0.002092942,0.103603795],"study_design_scores_gemma":[0.000009550529,0.000029387811,0.00045969416,0.0000020307393,0.0000068392824,0.000020758389,0.00004568207,0.9953591,0.0014889924,0.0019267936,0.0006446546,0.0000065682666],"about_ca_topic_score_codex":0.0021905673,"about_ca_topic_score_gemma":0.0035094833,"teacher_disagreement_score":0.0021905673,"about_ca_system_score_codex":0.0005312197,"about_ca_system_score_gemma":0.0004915037,"threshold_uncertainty_score":0.004355669},"labels":[],"label_agreement":null},{"id":"W2343962037","doi":"10.3166/jesa.48.473-492","title":"Sur un modéle énergétique de cycliste pour optimiser l’hybridation d’énergie humaine","year":2014,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physics","score_opus":0.008656494048653233,"score_gpt":0.2194267396240788,"score_spread":0.21077024557542556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343962037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037258595,0.0010403007,0.944047,0.0006710997,0.0001392406,0.00008379935,0.00018882313,0.00030548108,0.016265694],"genre_scores_gemma":[0.88770187,0.0018278274,0.08609478,0.00025784306,0.00015963643,0.0006209873,0.00044070935,0.00017751586,0.022718774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978024,0.000078315585,0.0000074506625,0.000046668407,0.000059620394,0.000027711942],"domain_scores_gemma":[0.9994122,0.00040309274,0.0000442197,0.000022379914,0.000096546486,0.000021655562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071894284,0.0013574945,0.0009936525,0.00053826155,0.00057829753,0.0016482115,0.0007378985,0.0021415162,0.0044267047],"category_scores_gemma":[0.001952966,0.00059504877,0.0010757912,0.000596091,0.0010613787,0.0010267886,0.0009769971,0.0017139782,0.000826125],"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":[0.000016434917,0.000009569239,0.0001014624,0.000027388853,0.000010097487,0.000037709306,0.000030571115,0.9945063,0.0005097346,0.0029738273,0.0001550591,0.0016218687],"study_design_scores_gemma":[0.0000068401205,0.000011825298,0.00004934816,0.0000077278655,0.00000444609,0.000006149375,0.000009096694,0.9977431,0.00013222889,0.0014195718,0.0006058237,0.0000038664634],"about_ca_topic_score_codex":0.020557405,"about_ca_topic_score_gemma":0.009664149,"teacher_disagreement_score":0.020557405,"about_ca_system_score_codex":0.0008225106,"about_ca_system_score_gemma":0.0011028118,"threshold_uncertainty_score":0.040875494},"labels":[],"label_agreement":null},{"id":"W2344622042","doi":"10.1109/tsg.2016.2515989","title":"Exploiting PHEV to Augment Power System Reliability","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":80,"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 Saskatchewan","funders":"","keywords":"Automotive engineering; Renewable energy; Electric vehicle; State of charge; Engineering; Electric power system; Reliability (semiconductor); Electricity; Battery (electricity); Power (physics); Electrical engineering","score_opus":0.005986660445580444,"score_gpt":0.18859856945729822,"score_spread":0.18261190901171778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344622042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17268021,0.00023466852,0.8194594,0.0001456201,0.000038410577,0.00005525218,0.00004873701,0.00068283547,0.006654854],"genre_scores_gemma":[0.98974764,0.00007275619,0.009459091,0.00001014121,0.0000071774098,0.000015503012,0.000015270465,0.000017618151,0.0006548538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995943,0.00018732883,0.000010565598,0.00004350326,0.00011030468,0.00005391161],"domain_scores_gemma":[0.99927765,0.00040099994,0.0000863862,0.00011356736,0.00010022877,0.000021232914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046356456,0.0004574476,0.00042592522,0.00033018106,0.0002760034,0.0006076206,0.0005872924,0.00040078716,0.00097122946],"category_scores_gemma":[0.0015960291,0.0002043198,0.00043218982,0.0002703639,0.00030624893,0.00090535294,0.00067072787,0.00045486123,0.00018880375],"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":[0.000067452005,0.00003754366,0.0013095262,0.00004368381,0.000026733063,0.000110960376,0.00004316545,0.95766485,0.009039333,0.0045040213,0.00022224385,0.02693036],"study_design_scores_gemma":[0.0000053160516,0.0001081584,0.00026873953,0.0000035980288,0.000010305386,0.000044585657,0.000012689266,0.99392223,0.0026687498,0.002329643,0.0006199144,0.0000061618834],"about_ca_topic_score_codex":0.0014395083,"about_ca_topic_score_gemma":0.0020262974,"teacher_disagreement_score":0.0014395083,"about_ca_system_score_codex":0.00037482617,"about_ca_system_score_gemma":0.00044999225,"threshold_uncertainty_score":0.0032491088},"labels":[],"label_agreement":null},{"id":"W2345271292","doi":"10.1109/comst.2016.2518628","title":"Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"News aggregator; Smart grid; Computer science; Perspective (graphical); Electricity; Electric vehicle; Operations research; Artificial intelligence; Electrical engineering; Engineering","score_opus":0.03270995346147822,"score_gpt":0.27181416463129876,"score_spread":0.23910421116982056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345271292","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013024084,0.39647,0.52283424,0.00422569,0.0013521665,0.00013306104,0.00032053783,0.00039909463,0.061241213],"genre_scores_gemma":[0.17016445,0.70196366,0.11116395,0.0012571927,0.0037467931,0.00021181055,0.00078254926,0.00018544079,0.010524188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935645,0.00018281763,0.00005974148,0.00011899472,0.00022544757,0.000056687593],"domain_scores_gemma":[0.9991523,0.00060476037,0.00004153614,0.000073030125,0.00010813367,0.000020242132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073745317,0.001071249,0.0010580664,0.0010877132,0.00039474005,0.0022683947,0.001341388,0.0013797553,0.0030237094],"category_scores_gemma":[0.002060908,0.00057494343,0.00088947045,0.0028361725,0.0007328022,0.0037999519,0.00087878486,0.0014039543,0.0011202947],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006512145,0.0001752801,0.0016306235,0.0045299293,0.00010188608,0.00017557539,0.00020757779,0.09215455,0.0012490364,0.34924203,0.018728254,0.5317401],"study_design_scores_gemma":[0.000031015352,0.0002821412,0.0014039223,0.0015910481,0.00013640836,0.0010796641,0.00051071023,0.1994044,0.0015926633,0.31577533,0.47809014,0.00010251024],"about_ca_topic_score_codex":0.0010663109,"about_ca_topic_score_gemma":0.00078592834,"teacher_disagreement_score":0.0030237094,"about_ca_system_score_codex":0.00084137864,"about_ca_system_score_gemma":0.0010465657,"threshold_uncertainty_score":0.010115325},"labels":[],"label_agreement":null},{"id":"W2346836642","doi":"","title":"How Policy Can Build the Plug-in Electric Vehicle Market: Insights from Respondent-Based Preferences and Constraints (REPAC) Model","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Market share; Electric vehicle; Baseline (sea); Variety (cybernetics); Subsidy; Mandate; Economics; Environmental economics; Marketing; Business; Computer science","score_opus":0.02390342926562885,"score_gpt":0.29398359316811573,"score_spread":0.2700801639024869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346836642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26867566,0.0020470722,0.51893896,0.0406946,0.00046064772,0.0004472929,0.008425825,0.0008384439,0.15947154],"genre_scores_gemma":[0.9002583,0.0014999409,0.049569834,0.0021542483,0.00022407668,0.0004933337,0.002138268,0.00022870768,0.043433234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863726,0.00073801883,0.00003433758,0.00023547144,0.00010268862,0.00025219814],"domain_scores_gemma":[0.9958637,0.002943875,0.00037545987,0.00019013758,0.00029017634,0.00033661368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024900034,0.0009998368,0.0013389635,0.0008594372,0.00068681815,0.003757375,0.0020683687,0.002859612,0.018755678],"category_scores_gemma":[0.010179791,0.0010775175,0.0015612243,0.0014015409,0.0010640018,0.0045457277,0.0018193759,0.0042487867,0.0015161753],"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":[0.00009423517,0.00016538898,0.004009575,0.000101762285,0.000081509264,0.00022946365,0.00032146266,0.5254115,0.00026231664,0.4510681,0.009263888,0.008990876],"study_design_scores_gemma":[0.00006251573,0.00005044509,0.000827303,0.000034778062,0.000029245874,0.000046031375,0.00024872652,0.7509434,0.000066524306,0.2401558,0.007490601,0.000044634115],"about_ca_topic_score_codex":0.03916915,"about_ca_topic_score_gemma":0.023632316,"teacher_disagreement_score":0.03916915,"about_ca_system_score_codex":0.0027136558,"about_ca_system_score_gemma":0.0026447377,"threshold_uncertainty_score":0.07788235},"labels":[],"label_agreement":null},{"id":"W2352619194","doi":"","title":"Orderly charging control based on peak-valley electricity tariffs for household electric vehicles of residential quarter","year":2015,"lang":"en","type":"article","venue":"Dianli zidonghua shebei","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Electricity; Mains electricity; Consumption (sociology); Electric vehicle; Monte Carlo method; Control (management); Automotive engineering; Environmental science; Power (physics); Engineering; Economics; Electrical engineering; Voltage; Geography; Mathematics","score_opus":0.010326108977701436,"score_gpt":0.20240215929715533,"score_spread":0.19207605031945388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352619194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14736113,0.00032967667,0.84169126,0.00018095302,0.0001332786,0.00013555094,0.0000700309,0.00077419076,0.009323912],"genre_scores_gemma":[0.9919368,0.000054864326,0.0071264314,0.000017792892,0.000007072773,0.000022011849,0.000014294455,0.00000959117,0.00081105373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975187,0.000036661073,0.000018324166,0.00006214162,0.000074556934,0.00005633281],"domain_scores_gemma":[0.9997656,0.000056273337,0.00005067526,0.000021997523,0.00008309826,0.000022492737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000345127,0.00041338327,0.00049806637,0.00033021442,0.00054051366,0.0007797364,0.0007715523,0.00027089595,0.001595843],"category_scores_gemma":[0.0006084565,0.00020587527,0.00040420028,0.00026864186,0.0003475843,0.0005145744,0.00034427881,0.000423202,0.00013743325],"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":[0.0003826338,0.0001847355,0.0023305826,0.00018129376,0.000049136746,0.00014760501,0.00023314793,0.8695436,0.017828768,0.0148067605,0.0022380718,0.0920736],"study_design_scores_gemma":[0.000015749241,0.000054485285,0.0002876409,0.000002042042,0.000009357352,0.000018283992,0.000017687113,0.9968183,0.0011424527,0.0013100771,0.00031722258,0.0000067449146],"about_ca_topic_score_codex":0.009211985,"about_ca_topic_score_gemma":0.008252964,"teacher_disagreement_score":0.009211985,"about_ca_system_score_codex":0.000599593,"about_ca_system_score_gemma":0.0009166756,"threshold_uncertainty_score":0.018316746},"labels":[],"label_agreement":null},{"id":"W2385559241","doi":"10.1109/tvt.2016.2567066","title":"Dynamic Pricing, Scheduling, and Energy Management for Profit Maximization in PHEV Charging Stations","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science, ICT and Future Planning","keywords":"Dynamic pricing; Computer science; Lyapunov optimization; Profit maximization; Probabilistic logic; Renewable energy; Energy management; Scheduling (production processes); Electric vehicle; Profit (economics); Energy storage; Charging station; Electricity; Automotive engineering; Engineering; Energy (signal processing); Electrical engineering; Power (physics); Operations management","score_opus":0.003446063810309994,"score_gpt":0.19482936885195193,"score_spread":0.19138330504164194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385559241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072893836,0.000220232,0.9214988,0.0004514762,0.000042619635,0.00008255346,0.00003952268,0.00013336247,0.004637618],"genre_scores_gemma":[0.96550715,0.000117645315,0.032856505,0.00004118518,0.000016178536,0.000049164413,0.000027164582,0.000026040994,0.0013589321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995746,0.00016799742,0.000014435572,0.000071428665,0.000068127745,0.00010343656],"domain_scores_gemma":[0.9993924,0.0003681123,0.00008133296,0.000035064506,0.000064652006,0.000058404596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009765071,0.0006505458,0.00089058006,0.00030082048,0.00061386666,0.0012401844,0.0010546407,0.0009173865,0.0017582278],"category_scores_gemma":[0.0027437392,0.00041021727,0.0004552955,0.00053058186,0.0007253612,0.0010649991,0.0009929617,0.0012069644,0.00017896993],"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":[0.00003674292,0.000026841037,0.00026482568,0.000019855162,0.0000083234145,0.00004726864,0.000030686304,0.9814161,0.00065610587,0.011099068,0.00027091947,0.006123204],"study_design_scores_gemma":[0.000003789928,0.000007946807,0.000027765347,0.0000010123023,0.0000013245033,0.000004334521,0.000007875668,0.99753344,0.00012797065,0.0022035008,0.00007936254,0.0000017661146],"about_ca_topic_score_codex":0.0049775722,"about_ca_topic_score_gemma":0.0035364171,"teacher_disagreement_score":0.0049775722,"about_ca_system_score_codex":0.0013302256,"about_ca_system_score_gemma":0.0017635815,"threshold_uncertainty_score":0.009897232},"labels":[],"label_agreement":null},{"id":"W2393145442","doi":"10.1016/j.rser.2016.05.019","title":"Electric buses: A review of alternative powertrains","year":2016,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":386,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Electrification; Context (archaeology); Electricity; Battery electric vehicle; Battery (electricity); Powertrain; Process (computing); Electric vehicle; Environmental economics; Public transport; Computer science; Risk analysis (engineering); Transport engineering; Engineering; Business; Electrical engineering; Economics","score_opus":0.011011461574202235,"score_gpt":0.25232375148053626,"score_spread":0.24131228990633402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393145442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016367501,0.9982571,0.00018490595,0.00014216277,0.00019977489,0.000005716617,0.000037698603,0.0000058849128,0.0010030585],"genre_scores_gemma":[0.0008748058,0.9978034,0.00028770117,0.0001158741,0.00020597992,0.0000051811053,0.000053174164,0.0000023000007,0.0006515373],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996723,0.000041985277,0.00006197671,0.0000688033,0.00013081811,0.000024092556],"domain_scores_gemma":[0.9993919,0.0002679561,0.000118866126,0.000015873486,0.00017961417,0.000025704567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059788616,0.0012649936,0.0015557233,0.003245664,0.00022380802,0.0011592711,0.001215253,0.0010394849,0.007317377],"category_scores_gemma":[0.00095510104,0.00045433434,0.000737934,0.0042696144,0.00033414413,0.002262089,0.0006439933,0.001091855,0.0018750874],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083977386,0.00008918866,0.00021127844,0.038604077,0.00012877998,0.0000898078,0.000037867274,0.0007643822,0.0013577059,0.0031013952,0.021952184,0.9335793],"study_design_scores_gemma":[0.000021798816,0.00017096655,0.0009009068,0.0071708555,0.00028184525,0.0006377255,0.00008210853,0.00023123171,0.0005554771,0.0014561004,0.98846006,0.00003081872],"about_ca_topic_score_codex":0.0016736463,"about_ca_topic_score_gemma":0.004067017,"teacher_disagreement_score":0.007317377,"about_ca_system_score_codex":0.0004635756,"about_ca_system_score_gemma":0.00103014,"threshold_uncertainty_score":0.024479032},"labels":[],"label_agreement":null},{"id":"W2405311362","doi":"10.5555/2984464.2984468","title":"Smart rate control and demand balancing for electric vehicle charging","year":2016,"lang":"en","type":"article","venue":"International Conference on Cyber-Physical Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Smart grid; Quality of service; Grid; Mathematical optimization; Schedule; Approximation algorithm; Vehicle-to-grid; Distributed computing; Power (physics); Electric vehicle; Computer network; Algorithm; Electrical engineering; Engineering; Mathematics","score_opus":0.008986385829314944,"score_gpt":0.22393772658470112,"score_spread":0.2149513407553862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405311362","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038534377,0.00050756865,0.95411,0.00031678038,0.00012992472,0.00007477254,0.000061829734,0.00056592387,0.005698756],"genre_scores_gemma":[0.9456187,0.0002858395,0.051819973,0.00007357815,0.000068439746,0.00004772459,0.00006636122,0.00006582483,0.0019535988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989963,0.00027766993,0.000052006173,0.00020203633,0.00028333906,0.00018862973],"domain_scores_gemma":[0.99873453,0.0006109972,0.0001624712,0.00019655791,0.00021633292,0.00007903729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013199534,0.00078626245,0.000741732,0.00053415133,0.00050554256,0.0014448473,0.0013739216,0.000691328,0.0024931107],"category_scores_gemma":[0.00460373,0.00032005683,0.00043639576,0.0007460464,0.0006801423,0.0016958702,0.00096274173,0.001139972,0.00049145735],"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":[0.0003899392,0.00013299886,0.00068650214,0.00009651939,0.000021445469,0.00006975467,0.00009805683,0.87452024,0.0082862675,0.03602311,0.0017749051,0.0779003],"study_design_scores_gemma":[0.000012353381,0.000028779532,0.00007038674,0.0000026417983,0.0000029935698,0.000021534883,0.000010477333,0.9920711,0.001056461,0.0061423806,0.00057471934,0.0000062210315],"about_ca_topic_score_codex":0.0028980756,"about_ca_topic_score_gemma":0.001979959,"teacher_disagreement_score":0.0028980756,"about_ca_system_score_codex":0.0012740338,"about_ca_system_score_gemma":0.0010001761,"threshold_uncertainty_score":0.009243786},"labels":[],"label_agreement":null},{"id":"W2415839200","doi":"10.1109/tvt.2016.2577018","title":"Lightweight Authentication and Privacy-Preserving Scheme for V2G Connections","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":94,"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 Waterloo","funders":"","keywords":"Vehicle-to-grid; Computer science; Authentication (law); Computer network; Overhead (engineering); Scheme (mathematics); Grid; Message authentication code; Computer security; Smart grid; Electricity; Cryptography; Power (physics); Engineering; Electric vehicle; Electrical engineering","score_opus":0.006460427944112988,"score_gpt":0.20632331711325588,"score_spread":0.19986288916914288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415839200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053619962,0.00068711967,0.9340521,0.0007592011,0.00032158245,0.00066114956,0.00023540921,0.0021288444,0.007534575],"genre_scores_gemma":[0.93696153,0.00026506523,0.05656972,0.00020007693,0.00015407568,0.00032953292,0.00024086909,0.00004867994,0.0052304007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99478275,0.0015825623,0.0005659358,0.0006638334,0.0015849577,0.00082004315],"domain_scores_gemma":[0.99404186,0.0012000464,0.0009622173,0.0026568605,0.00079620274,0.00034282124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020988858,0.0009209066,0.0012885132,0.00125914,0.0025853552,0.0021437723,0.0018700957,0.002086674,0.0035408593],"category_scores_gemma":[0.0059057926,0.00042768952,0.0010302421,0.0014469988,0.0015696895,0.00547467,0.0060140938,0.002384111,0.0016274103],"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":[0.0039305883,0.0006867192,0.0044994354,0.00078029576,0.0002954672,0.0026575,0.002330663,0.09178935,0.13819212,0.41228375,0.012700185,0.32985392],"study_design_scores_gemma":[0.00047970048,0.0010578808,0.0014451232,0.00011137124,0.00024342562,0.0030428004,0.0004392812,0.7745128,0.057503503,0.12633933,0.034492765,0.0003320007],"about_ca_topic_score_codex":0.00074127346,"about_ca_topic_score_gemma":0.00044462844,"teacher_disagreement_score":0.0035408593,"about_ca_system_score_codex":0.0012526041,"about_ca_system_score_gemma":0.0019884545,"threshold_uncertainty_score":0.01184541},"labels":[],"label_agreement":null},{"id":"W2471218603","doi":"10.1007/978-3-319-25130-1_2","title":"Charging/Discharging for EVs","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Revenue; Grid; Power grid; Distributed computing; Selection (genetic algorithm); Penetration (warfare); Transmission (telecommunications); Power (physics); Operations research; Telecommunications; Business; Finance","score_opus":0.014194208695148515,"score_gpt":0.20809435312741292,"score_spread":0.19390014443226442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471218603","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002560171,0.03961861,0.116422355,0.0018740089,0.004288224,0.00008491562,0.00037314554,0.0008782479,0.83390045],"genre_scores_gemma":[0.023009818,0.034104638,0.017596614,0.000807618,0.0007226907,0.000058564056,0.00038589773,0.0003618204,0.92295235],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999882,0.000009877009,0.0000051157017,0.000022611308,0.0000686906,0.000011779177],"domain_scores_gemma":[0.99995875,0.000013348709,0.0000022071263,0.0000064179326,0.000016425849,0.000002801395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119984325,0.00078716164,0.00037333765,0.00052109757,0.0004256999,0.0011039496,0.00072623487,0.00073800475,0.026688443],"category_scores_gemma":[0.00024509334,0.00024051739,0.00031927053,0.0007695181,0.00041370516,0.0021362903,0.00075517816,0.0010092013,0.009941073],"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":[0.000032008596,0.000043607262,0.00006950037,0.0006326799,0.000009537442,0.000121207915,0.00015301992,0.0052291634,0.004348752,0.15517181,0.16241284,0.6717758],"study_design_scores_gemma":[0.0000028152094,0.000017805232,0.00012704825,0.00021692972,0.0000058734468,0.00023350908,0.000069559756,0.0026615516,0.0020146766,0.03882819,0.95581317,0.000008944644],"about_ca_topic_score_codex":0.0010504068,"about_ca_topic_score_gemma":0.002177276,"teacher_disagreement_score":0.026688443,"about_ca_system_score_codex":0.0006792558,"about_ca_system_score_gemma":0.000542717,"threshold_uncertainty_score":0.0892818},"labels":[],"label_agreement":null},{"id":"W2474748388","doi":"10.1007/978-3-319-25130-1_3","title":"Mobility-Aware Coordinated EV Charging in VANET-Enhanced Smart Grid","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","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":"University of Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Smart grid; Electric vehicle; Grid; Transmission (telecommunications); Computer network; Charging station; Wireless ad hoc network; Power (physics); Telecommunications; Electrical engineering; Wireless; Engineering","score_opus":0.009382125839628164,"score_gpt":0.19910663991267805,"score_spread":0.18972451407304988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474748388","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027332956,0.00948857,0.8950085,0.0008782453,0.0012629739,0.000044537643,0.00011976454,0.00080499984,0.06505941],"genre_scores_gemma":[0.9046429,0.0077060354,0.041143093,0.00020362363,0.00044005277,0.000033160504,0.00020064748,0.00014871247,0.045481764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989223,0.000025060626,0.0000044465987,0.000022692657,0.00003622205,0.000019322993],"domain_scores_gemma":[0.9999515,0.000017308324,0.0000038599214,0.0000075481107,0.00001593391,0.0000038447743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017996348,0.00043384527,0.00050209666,0.00017466137,0.00016303523,0.0006458554,0.0007289092,0.00036554053,0.0023596955],"category_scores_gemma":[0.00029222385,0.00019539149,0.00035108114,0.0005522217,0.00021499288,0.00082783337,0.00060397154,0.0005921247,0.0005832749],"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":[0.0001495652,0.00005410867,0.00056036504,0.00020625652,0.00006234727,0.00020340884,0.00007880975,0.6104356,0.007895672,0.06979856,0.014723015,0.29583222],"study_design_scores_gemma":[0.000009462097,0.000065946166,0.00041984682,0.000028298948,0.000021924949,0.0002856828,0.000067395595,0.9268372,0.0029204674,0.034494527,0.034830246,0.000019021005],"about_ca_topic_score_codex":0.00095592765,"about_ca_topic_score_gemma":0.0012658619,"teacher_disagreement_score":0.0023596955,"about_ca_system_score_codex":0.00036689654,"about_ca_system_score_gemma":0.0002441078,"threshold_uncertainty_score":0.00789392},"labels":[],"label_agreement":null},{"id":"W2475926269","doi":"10.1016/j.energy.2016.06.078","title":"Incorporating short-term topological variations in optimal energy management of MGs considering ancillary services by electric vehicles","year":2016,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Smart grid; Computer science; Renewable energy; Scheduling (production processes); Term (time); AC power; Energy storage; Electric power system; Mathematical optimization; Grid; Operations research; Voltage; Reliability engineering; Engineering; Power (physics); Electrical engineering; Operations management","score_opus":0.005458124429344605,"score_gpt":0.1911637242928661,"score_spread":0.1857055998635215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475926269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5169069,0.0008734449,0.46921632,0.00062200514,0.00026467833,0.00007122845,0.0001516568,0.00016734227,0.011726433],"genre_scores_gemma":[0.9974492,0.00005446941,0.0018891937,0.000010305311,0.000010477124,0.0000053408007,0.000011864553,0.000007375733,0.000561707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976164,0.000087476445,0.000009253527,0.0000404038,0.000034814377,0.00006641485],"domain_scores_gemma":[0.99958545,0.00022367675,0.0000618645,0.000019198058,0.000071949515,0.000037817445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005524884,0.0007569304,0.00089048763,0.000318928,0.00042062975,0.0011755392,0.0008502983,0.0009467969,0.0014463995],"category_scores_gemma":[0.0016781266,0.0005227799,0.0005072997,0.00054627884,0.0005748659,0.0013789573,0.0004996917,0.00058344,0.000090634225],"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":[0.000026812933,0.000006158746,0.00016510111,0.000007550014,0.000009965981,0.00002895754,0.000004149774,0.99737656,0.0002752608,0.00077842566,0.00004732717,0.0012738013],"study_design_scores_gemma":[0.0000025683041,0.000015894802,0.00014639564,0.0000012904395,0.000006829928,0.000004659481,0.000008134979,0.99906224,0.00008093483,0.0006241025,0.00004478854,0.0000021047],"about_ca_topic_score_codex":0.006521273,"about_ca_topic_score_gemma":0.009986558,"teacher_disagreement_score":0.006521273,"about_ca_system_score_codex":0.0009097881,"about_ca_system_score_gemma":0.00067130534,"threshold_uncertainty_score":0.012966633},"labels":[],"label_agreement":null},{"id":"W2478246558","doi":"10.1049/pbpo074e_ch14","title":"Automotive energy systems","year":2015,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Renewable energy; Wind power; Market penetration; Grid; Automotive engineering; Predictability; Computer science; Environmental economics; Electrical engineering; Business; Reliability engineering; Engineering; Economics","score_opus":0.006615504651486607,"score_gpt":0.1691401184798344,"score_spread":0.1625246138283478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478246558","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067823003,0.0045840424,0.029537447,0.0019878824,0.0030153145,0.0004466911,0.012481473,0.0057774927,0.9353874],"genre_scores_gemma":[0.12799601,0.005373055,0.011037628,0.0013706237,0.0005601186,0.00038647,0.03050621,0.0007296147,0.8220403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921715,0.00007059299,0.000040740684,0.00013613205,0.00043022557,0.00010517322],"domain_scores_gemma":[0.9994485,0.000024501785,0.000016797405,0.000081569866,0.0003931499,0.00003552072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005713116,0.0010164392,0.00056757254,0.0019148597,0.0012419974,0.002983717,0.0013419259,0.0012687813,0.2276355],"category_scores_gemma":[0.00090698904,0.00030294046,0.0007026296,0.0020739164,0.00022056891,0.001734147,0.0020846059,0.0007504162,0.15896285],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026275654,0.00013216928,0.0022392154,0.00062060833,0.000055328357,0.00029687624,0.00014314466,0.004697451,0.005158484,0.039969,0.46055445,0.48587057],"study_design_scores_gemma":[0.000023827251,0.00006260707,0.0012255443,0.00008272862,0.000012904515,0.00012533115,0.00008747555,0.0030209764,0.0019383532,0.0035233323,0.98987913,0.000017735692],"about_ca_topic_score_codex":0.0060297977,"about_ca_topic_score_gemma":0.0048296275,"teacher_disagreement_score":0.2276355,"about_ca_system_score_codex":0.0011460847,"about_ca_system_score_gemma":0.0013478094,"threshold_uncertainty_score":0.76151663},"labels":[],"label_agreement":null},{"id":"W2483743257","doi":"10.1007/978-3-319-25130-1","title":"Mobile Electric Vehicles","year":2015,"lang":"en","type":"book","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Architecture; Grid; Smart grid; Telecommunications; Electrical engineering; Engineering","score_opus":0.005072337764696177,"score_gpt":0.18786458730097602,"score_spread":0.18279224953627984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483743257","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00083910685,0.018227465,0.019039482,0.0011561782,0.004360623,0.00008307091,0.0004825247,0.001116097,0.9546954],"genre_scores_gemma":[0.0020195828,0.005342296,0.0019953272,0.0002942184,0.00039628698,0.000020484873,0.0003164309,0.00012615847,0.98948926],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970764,0.000023515384,0.000008447521,0.000058490423,0.00017377871,0.000028083876],"domain_scores_gemma":[0.9998281,0.000022125772,0.000010979217,0.000025355228,0.00008256541,0.00003077882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018908751,0.0016685217,0.00068352546,0.0015924368,0.00075351866,0.0020612325,0.0008101673,0.0009537765,0.12073739],"category_scores_gemma":[0.0005067183,0.00039027224,0.0003228256,0.0017259751,0.00042719202,0.0026965481,0.001350785,0.0014843661,0.10916781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018759902,0.000035387126,0.00010200394,0.00019128641,0.000006617547,0.00005460992,0.000056001172,0.00076724496,0.0014475435,0.02278972,0.5436773,0.4308536],"study_design_scores_gemma":[0.0000014455285,0.000012849633,0.00010920511,0.00007179153,0.0000026743326,0.00007161941,0.000021211805,0.0004038565,0.00021282249,0.003216343,0.9958728,0.000003419356],"about_ca_topic_score_codex":0.0023202666,"about_ca_topic_score_gemma":0.0077734347,"teacher_disagreement_score":0.12073739,"about_ca_system_score_codex":0.0008787149,"about_ca_system_score_gemma":0.0009883303,"threshold_uncertainty_score":0.40390682},"labels":[],"label_agreement":null},{"id":"W2487575379","doi":"10.1109/itec.2016.7520190","title":"Range anxiety reduction in battery-powered vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":35,"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 Waterloo","funders":"","keywords":"Driving range; Range (aeronautics); Context (archaeology); Battery (electricity); Automotive engineering; Electric vehicle; State of charge; Computer science; Path (computing); Work (physics); Anxiety; Simulation; Engineering; Computer network; Power (physics); Aerospace engineering; Psychology","score_opus":0.0043617343038070905,"score_gpt":0.18049595065078658,"score_spread":0.17613421634697948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487575379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44165128,0.0009616855,0.5449235,0.00019975856,0.000060918213,0.0000985901,0.00006275009,0.0011862639,0.010855308],"genre_scores_gemma":[0.98618406,0.00009293923,0.013071618,0.000017250413,0.000012400716,0.000019212303,0.000030402727,0.000018252522,0.0005539381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997031,0.00006783915,0.000010803084,0.000036207115,0.00012456451,0.000057485573],"domain_scores_gemma":[0.99936074,0.00029528717,0.00012326012,0.00004739758,0.000139132,0.00003409342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030027117,0.0004918932,0.00032191927,0.00062945916,0.00021834217,0.00058331934,0.0007740769,0.0002845798,0.0008639087],"category_scores_gemma":[0.0020520594,0.00020746232,0.00037956578,0.0002860108,0.0002762543,0.000600628,0.00065399846,0.00030514115,0.00017156353],"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":[0.0005312848,0.00043673613,0.012566268,0.00029647016,0.00012611342,0.00028393336,0.00064434396,0.5531247,0.032524507,0.00562755,0.0017689719,0.39206913],"study_design_scores_gemma":[0.000030497651,0.00083147775,0.012347735,0.000025387482,0.00007507084,0.00027271974,0.00040703558,0.9721481,0.009048462,0.0032687583,0.00149182,0.000052844178],"about_ca_topic_score_codex":0.0032827037,"about_ca_topic_score_gemma":0.0029555736,"teacher_disagreement_score":0.0032827037,"about_ca_system_score_codex":0.00034796045,"about_ca_system_score_gemma":0.00031331938,"threshold_uncertainty_score":0.0065271854},"labels":[],"label_agreement":null},{"id":"W2496964326","doi":"10.1007/978-3-319-25130-1_4","title":"Coordinated V2V Fast Charging for Mobile GEVs Based on Price Control","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Revenue; Game theory; Control (management); Charging station; Electricity; Electric vehicle; Optimal control; Mathematical optimization; Power (physics); Electrical engineering; Finance; Microeconomics; Engineering","score_opus":0.007025682950480795,"score_gpt":0.1944529591919514,"score_spread":0.18742727624147063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496964326","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039472498,0.0013351982,0.90729046,0.00035039205,0.0006440792,0.00009681986,0.00010009112,0.0012960632,0.04941447],"genre_scores_gemma":[0.96951854,0.00027349143,0.019509487,0.0000760396,0.000084290106,0.000029416364,0.000060599086,0.00006829459,0.010379891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977595,0.00003162183,0.0000074540844,0.000049247185,0.000081711994,0.000053928095],"domain_scores_gemma":[0.9999001,0.000035516652,0.000008180842,0.0000130928875,0.00003425709,0.000008878934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024749467,0.00054528733,0.000706714,0.00024093375,0.0004119445,0.0010884725,0.0009891923,0.00044753935,0.00482302],"category_scores_gemma":[0.0004246196,0.00024325699,0.00035771602,0.00040390907,0.00028119903,0.0006999413,0.0005817178,0.00054603466,0.0007012435],"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":[0.0005253199,0.00012882531,0.00083789584,0.0002058386,0.000090241876,0.00048694105,0.00017278464,0.55307627,0.025898587,0.05938572,0.021273108,0.33791858],"study_design_scores_gemma":[0.000025524298,0.000108271604,0.00034557286,0.000009945169,0.000017903028,0.00016599975,0.000044203047,0.97246957,0.0026009062,0.016140318,0.008054846,0.000016959657],"about_ca_topic_score_codex":0.0022019302,"about_ca_topic_score_gemma":0.0034025444,"teacher_disagreement_score":0.00482302,"about_ca_system_score_codex":0.0005527739,"about_ca_system_score_gemma":0.00046170971,"threshold_uncertainty_score":0.01613462},"labels":[],"label_agreement":null},{"id":"W2501904706","doi":"10.2172/1157591","title":"Final Report for Clean, Reliable, Affordable Energy that Reflects the Values of the Pinoleville Pomo Nation","year":2014,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Renewable energy; Biogas; Environmental economics; Wind power; Electricity; Environmentally friendly; Environmental science; Business; Waste management; Engineering; Electrical engineering; Economics","score_opus":0.029134958569403645,"score_gpt":0.25064137537968756,"score_spread":0.2215064168102839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501904706","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033895228,0.0015693222,0.005022482,0.0040368787,0.0016843509,0.0015751707,0.37323603,0.0010161002,0.57796437],"genre_scores_gemma":[0.074805066,0.0031864303,0.024534121,0.00080630445,0.0002163481,0.0026303697,0.3129618,0.0008597809,0.57999974],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978472,0.00011447826,0.00008568745,0.00014673053,0.0016179712,0.00018792393],"domain_scores_gemma":[0.99768686,0.00015726559,0.00014181515,0.00015243431,0.0017596594,0.00010207093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020146968,0.0007484558,0.0002674749,0.0023943584,0.0010248017,0.002163494,0.0009419211,0.0006937982,0.023578515],"category_scores_gemma":[0.0034160549,0.0003530749,0.00025680487,0.0020093208,0.0002715968,0.0010876154,0.0010867118,0.0010182376,0.006664789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024329442,0.00027844246,0.014555544,0.00058319955,0.000032564974,0.00033926428,0.0003894365,0.0022113773,0.0026695922,0.0119289225,0.9092559,0.05751249],"study_design_scores_gemma":[0.000016258708,0.000049878916,0.030425575,0.000117589145,0.00001225391,0.000073796655,0.00044102932,0.00028512522,0.0032709364,0.00044581137,0.96484184,0.00001992579],"about_ca_topic_score_codex":0.13728948,"about_ca_topic_score_gemma":0.11658707,"teacher_disagreement_score":0.13728948,"about_ca_system_score_codex":0.0033284905,"about_ca_system_score_gemma":0.009408856,"threshold_uncertainty_score":0.2729807},"labels":[],"label_agreement":null},{"id":"W2502254233","doi":"10.1109/itec.2016.7520261","title":"Optimal energy/time routing in battery-powered vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Computer science; Range (aeronautics); Routing (electronic design automation); Mode (computer interface); Energy consumption; Energy (signal processing); Battery capacity; Driving range; Work (physics); Path (computing); Vehicle routing problem; Mathematical optimization; Automotive engineering; Simulation; Engineering; Electrical engineering; Computer network; Power (physics); Mathematics","score_opus":0.0030624945126495975,"score_gpt":0.16781574725450518,"score_spread":0.1647532527418556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502254233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09967684,0.0007227943,0.8922392,0.00033956434,0.000049974427,0.00010277936,0.00016156392,0.0002726242,0.0064346953],"genre_scores_gemma":[0.8525581,0.0005659288,0.14147988,0.000049914328,0.000020028863,0.00011884984,0.00013925305,0.00008085863,0.004987222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996382,0.0001449864,0.000017654016,0.0000704461,0.00007193328,0.000056760222],"domain_scores_gemma":[0.99951327,0.0002648033,0.00007588377,0.000021142132,0.00008664778,0.00003824324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005825515,0.00068409275,0.00067055976,0.0006758493,0.0005576972,0.0011916631,0.0008250083,0.00089298224,0.0015336506],"category_scores_gemma":[0.0018002815,0.00052198843,0.0004700549,0.0009928874,0.000609271,0.0011913214,0.00060761446,0.0004800924,0.00017259526],"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":[0.00002157422,0.000009973663,0.00013064484,0.00001882604,0.000009086503,0.000021572101,0.000020977981,0.98868763,0.00040084767,0.004932345,0.0001978566,0.005548629],"study_design_scores_gemma":[0.000004277502,0.000015561745,0.000056805693,0.0000032267094,0.0000030311785,0.000009272293,0.000018212446,0.9932567,0.00020554195,0.0061031845,0.00032016114,0.0000039773363],"about_ca_topic_score_codex":0.012584167,"about_ca_topic_score_gemma":0.007480036,"teacher_disagreement_score":0.012584167,"about_ca_system_score_codex":0.0013016677,"about_ca_system_score_gemma":0.0012222956,"threshold_uncertainty_score":0.025021851},"labels":[],"label_agreement":null},{"id":"W2511507983","doi":"10.1016/j.tranpol.2016.07.006","title":"Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach","year":2016,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Early adopter; Structural equation modeling; Socioeconomic status; Electric vehicle; Theory of planned behavior; Marketing; Business; Work (physics); Economics; Control (management); Sociology; Computer science; Engineering; Population; Demography","score_opus":0.009283048863766389,"score_gpt":0.19044169949497322,"score_spread":0.18115865063120684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511507983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544094,0.0006690807,0.02331796,0.003070155,0.000025728568,0.000448251,0.005890634,0.0001582055,0.012010461],"genre_scores_gemma":[0.9785685,0.00073411106,0.007269346,0.00015747202,0.000009511707,0.00015737023,0.0019419543,0.000021548838,0.011140145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988254,0.00021633446,0.00004246517,0.00013807416,0.0001584688,0.00061927835],"domain_scores_gemma":[0.9974656,0.0013476447,0.00027935844,0.000065771055,0.00057516916,0.00026656035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017746667,0.0008599918,0.0011994188,0.0019656229,0.0020108235,0.0034624478,0.0031941056,0.0024263784,0.003645973],"category_scores_gemma":[0.004624662,0.0011183125,0.0015357228,0.0026712613,0.0009890161,0.0015417997,0.0012813617,0.0017904047,0.0003118056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020731616,0.00029110425,0.07986642,0.0001275029,0.00015996519,0.0004032412,0.0006384216,0.8857393,0.00055417704,0.018829795,0.0027481148,0.010434587],"study_design_scores_gemma":[0.000047814585,0.00005729275,0.016289884,0.00003750391,0.0000931885,0.000025237448,0.0014699565,0.9772017,0.00024154551,0.0023415058,0.0021458615,0.000048453425],"about_ca_topic_score_codex":0.9903532,"about_ca_topic_score_gemma":0.98639166,"teacher_disagreement_score":0.032533597,"about_ca_system_score_codex":0.032533597,"about_ca_system_score_gemma":0.049796186,"threshold_uncertainty_score":0.23604888},"labels":[],"label_agreement":null},{"id":"W2512525358","doi":"10.1109/tsg.2016.2599819","title":"A Novel Online Charging Algorithm for Electric Vehicles Under Stochastic Net-Load","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"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 Waterloo","funders":"","keywords":"Intermittency; Computer science; Flexibility (engineering); Algorithm; Renewable energy; Load balancing (electrical power); Exploit; Real-time computing; Engineering; Electrical engineering; Grid; Mathematics","score_opus":0.011340323646660383,"score_gpt":0.21735025302344552,"score_spread":0.20600992937678514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512525358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065136566,0.00010192955,0.9906109,0.00010506059,0.00009085154,0.00005974611,0.000027013433,0.00060563686,0.001885225],"genre_scores_gemma":[0.595039,0.00028464192,0.39674947,0.00019906336,0.00016388034,0.00020418242,0.00022908163,0.00022656763,0.0069040926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944574,0.00009874645,0.00003755839,0.000114189475,0.00020162917,0.000102230006],"domain_scores_gemma":[0.99941885,0.00023097788,0.00006030908,0.00007103897,0.00017556461,0.000043303666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005980318,0.0006477044,0.001008102,0.00052050385,0.0007787206,0.0010039442,0.0015936382,0.00091936,0.0041977386],"category_scores_gemma":[0.0018882847,0.0003052348,0.0004933324,0.00064053887,0.0003797971,0.001431537,0.0010818106,0.0009121773,0.000877554],"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":[0.00023472602,0.00014244119,0.00089314376,0.00012331914,0.000042674976,0.00016494027,0.0001177484,0.6723944,0.005415476,0.023598593,0.0053781285,0.29149452],"study_design_scores_gemma":[0.000020102627,0.000020493057,0.000060170547,0.0000031258294,0.0000040813,0.000050121325,0.000012190265,0.99400514,0.00076342415,0.003566531,0.0014882216,0.000006400282],"about_ca_topic_score_codex":0.0026137747,"about_ca_topic_score_gemma":0.002456781,"teacher_disagreement_score":0.0041977386,"about_ca_system_score_codex":0.00072822074,"about_ca_system_score_gemma":0.0013096274,"threshold_uncertainty_score":0.014042854},"labels":[],"label_agreement":null},{"id":"W2519270877","doi":"10.1016/j.energy.2016.08.096","title":"Power system steady-state analysis with large-scale electric vehicle integration","year":2016,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Sizing; Electric vehicle; Electric power system; Context (archaeology); Automotive engineering; Engineering; Electric power; Steady state (chemistry); Power (physics); Scale (ratio); Stability (learning theory); Computer science","score_opus":0.0018062299748942713,"score_gpt":0.16073710551576487,"score_spread":0.1589308755408706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519270877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64115244,0.00043594593,0.30171368,0.0004809984,0.00008847538,0.00012646361,0.00039923008,0.0008744141,0.054728314],"genre_scores_gemma":[0.99445,0.00004757627,0.0027656436,0.000017135546,0.000008071119,0.00002143625,0.000067304514,0.00002643643,0.0025964854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999882,0.00003667333,0.0000052373025,0.000020376909,0.000030637944,0.000025031206],"domain_scores_gemma":[0.99974567,0.00012480514,0.00002158249,0.000023181718,0.00007393036,0.0000109313305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004380097,0.00042894774,0.0006472816,0.00030010092,0.0003839764,0.000921086,0.0005363022,0.00046498692,0.003825541],"category_scores_gemma":[0.0009349296,0.0003686455,0.00062521617,0.0004310002,0.00044043304,0.0011770991,0.0005008763,0.0008532981,0.00033624057],"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":[0.00008615169,0.00006237306,0.0011128838,0.000036689406,0.00004366642,0.00011351035,0.00004762374,0.98475546,0.002287318,0.004310772,0.00045746678,0.006686116],"study_design_scores_gemma":[0.000004650052,0.00002117572,0.0005832596,0.0000017112392,0.000007428317,0.000006147019,0.000019826157,0.99822015,0.0002343133,0.0007729382,0.00012604934,0.000002378103],"about_ca_topic_score_codex":0.009913647,"about_ca_topic_score_gemma":0.009879355,"teacher_disagreement_score":0.009913647,"about_ca_system_score_codex":0.00059470657,"about_ca_system_score_gemma":0.0005209908,"threshold_uncertainty_score":0.019711912},"labels":[],"label_agreement":null},{"id":"W2519898209","doi":"10.1109/wcnc.2016.7565123","title":"Flexible charging and discharging algorithm for electric vehicles in smart grid environment","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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 Regina; University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Grid; Algorithm; Electrical engineering; Engineering; Mathematics","score_opus":0.004996550822186359,"score_gpt":0.18308774808161682,"score_spread":0.17809119725943046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519898209","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04253485,0.00042289865,0.9521572,0.0002528072,0.00009187884,0.00007607549,0.00004011689,0.0005621534,0.0038620052],"genre_scores_gemma":[0.8758493,0.00020845134,0.121473365,0.00007641216,0.000020573762,0.000067754634,0.00007583342,0.000037931553,0.0021903194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980956,0.000035658955,0.000020129508,0.000042114723,0.000057175548,0.000035297],"domain_scores_gemma":[0.9998363,0.00005085813,0.000021336988,0.000020649004,0.000057840694,0.000013006309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034190764,0.00042750084,0.00057866337,0.0002711872,0.0005841976,0.0006858547,0.0009818939,0.00049828197,0.0014289083],"category_scores_gemma":[0.00062361854,0.00016514746,0.00029985324,0.0004775035,0.00031148354,0.000820767,0.0004584499,0.00042068813,0.00021347396],"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":[0.00020412383,0.00010479695,0.0014093056,0.00015856283,0.000038384507,0.00017874737,0.00022079176,0.7549646,0.010588301,0.011552091,0.0030017372,0.21757856],"study_design_scores_gemma":[0.000012403801,0.000027774706,0.00007541917,0.0000024721612,0.0000032006362,0.000036190966,0.0000243984,0.99604416,0.0010670671,0.0019573432,0.0007445444,0.0000051388965],"about_ca_topic_score_codex":0.003306061,"about_ca_topic_score_gemma":0.002964404,"teacher_disagreement_score":0.003306061,"about_ca_system_score_codex":0.00042491884,"about_ca_system_score_gemma":0.00074094045,"threshold_uncertainty_score":0.0065736175},"labels":[],"label_agreement":null},{"id":"W2519998294","doi":"10.1109/spin.2016.7566721","title":"Futuristic model of Electric Vehicle charging queues","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Queue; Charging station; Software deployment; Computer science; Queueing theory; Battery (electricity); Automotive engineering; Battery capacity; Range (aeronautics); Electric vehicle; Downtown; Driving range; Plug-in; Simulation; Transport engineering; Real-time computing; Operations research; Electrical engineering; Engineering; Computer network; Operating system","score_opus":0.005500515961108738,"score_gpt":0.1798498143223283,"score_spread":0.17434929836121957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519998294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17879008,0.0009984287,0.6963404,0.0037441226,0.00045232088,0.00018575415,0.0025554206,0.0006667138,0.11626675],"genre_scores_gemma":[0.8963065,0.0006709712,0.013498601,0.00031576908,0.00012419013,0.0002328474,0.00060244557,0.00009152988,0.088157125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.00015138322,0.000021686972,0.00013222038,0.000079529134,0.00015178234],"domain_scores_gemma":[0.9989215,0.00049679657,0.0001593274,0.000049647424,0.00026011185,0.00011266339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086456584,0.0010307924,0.0008838577,0.0008607698,0.00087587454,0.0024557037,0.0027923312,0.0024607389,0.013469943],"category_scores_gemma":[0.0027497553,0.0006826447,0.0010142627,0.0011049954,0.0014584666,0.0017052119,0.0012590825,0.0015411393,0.0015944875],"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":[0.00006212488,0.000035434772,0.00061878865,0.00003426944,0.000016314574,0.00018914782,0.00011717427,0.92802167,0.00049940526,0.06695278,0.0014105173,0.0020423776],"study_design_scores_gemma":[0.000010953297,0.000012332576,0.00011736629,0.000003785932,0.0000060498387,0.0000134671845,0.000027027218,0.9936765,0.000042007825,0.005679221,0.00040455416,0.0000067653414],"about_ca_topic_score_codex":0.041106477,"about_ca_topic_score_gemma":0.021239229,"teacher_disagreement_score":0.041106477,"about_ca_system_score_codex":0.0031979005,"about_ca_system_score_gemma":0.0017860493,"threshold_uncertainty_score":0.08173442},"labels":[],"label_agreement":null},{"id":"W2520809033","doi":"10.1109/tsg.2016.2608508","title":"A Planning Approach for the Network Configuration of AC-DC Hybrid Distribution Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":151,"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 Waterloo","funders":"","keywords":"Mathematical optimization; Photovoltaic system; Genetic algorithm; Computer science; Renewable energy; Minification; Power (physics); Monte Carlo method; AC power; Engineering; Voltage; Mathematics; Electrical engineering","score_opus":0.011815323983205877,"score_gpt":0.20466977931550748,"score_spread":0.1928544553323016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520809033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002732293,0.00011690481,0.99274904,0.000109481,0.0000150955375,0.000044683286,0.000105917694,0.00009194455,0.004034686],"genre_scores_gemma":[0.48623303,0.0010466035,0.5036078,0.00012550685,0.0000674495,0.00058862014,0.00045044944,0.00014799496,0.0077325418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996057,0.00015224075,0.00001518405,0.000068582674,0.00012491782,0.000033501852],"domain_scores_gemma":[0.9996717,0.00017972958,0.000047024212,0.000022386239,0.00005972181,0.000019477604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615755,0.00093435263,0.00069710135,0.0006138529,0.0005670165,0.00095887133,0.0014523462,0.0007605264,0.0039836983],"category_scores_gemma":[0.0011213068,0.0007514019,0.00078524376,0.0012101065,0.0006853085,0.001082803,0.000638808,0.0010321209,0.0004298167],"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":[0.0000035914757,0.0000045059223,0.000053868152,0.000012051748,0.000005322785,0.000019023037,0.000010292522,0.98644364,0.000100436744,0.009980961,0.00019707196,0.0031693138],"study_design_scores_gemma":[0.0000035420237,0.000007297055,0.000028907902,0.0000045359207,0.0000035589064,0.000012167392,0.0000072879934,0.9924333,0.00008146228,0.0065361657,0.00087845034,0.0000032605953],"about_ca_topic_score_codex":0.014399095,"about_ca_topic_score_gemma":0.01901,"teacher_disagreement_score":0.014399095,"about_ca_system_score_codex":0.0018859862,"about_ca_system_score_gemma":0.0020874806,"threshold_uncertainty_score":0.028630555},"labels":[],"label_agreement":null},{"id":"W2524960224","doi":"10.5539/jsd.v9n5p83","title":"Dynamic Simulation Assessment of Environment Friendly Vehicles Introduction and Clean Energy Promotion Policy in China","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; Promotion (chess); Greenhouse gas; Environmental economics; China; Environmentally friendly; Quality (philosophy); Government (linguistics); Business; Natural resource economics; Economics; Market economy","score_opus":0.00220484335747306,"score_gpt":0.2028034176145422,"score_spread":0.20059857425706915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524960224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792133,0.00015176563,0.0061583463,0.0004993365,0.00003810168,0.000068984016,0.0005743435,0.000075659496,0.013220159],"genre_scores_gemma":[0.9969248,0.00010549323,0.0007913762,0.000026359527,0.00000330658,0.000042699034,0.00021595742,0.0000094303205,0.0018805476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965227,0.0001074412,0.000014563832,0.000046885823,0.000042735166,0.00013606719],"domain_scores_gemma":[0.9993468,0.0002792944,0.00007941641,0.000023715293,0.00018338005,0.00008743664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087938126,0.00085551385,0.0007945138,0.00082745287,0.00075568206,0.0011712322,0.000916212,0.0013294308,0.0031695429],"category_scores_gemma":[0.0013368852,0.0004533959,0.0013606617,0.0006885493,0.0006592495,0.0009328235,0.0007672386,0.0007873958,0.00016943095],"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":[0.00004420523,0.000039138762,0.0029404156,0.00001900192,0.000015572912,0.00008862019,0.00002540067,0.994618,0.00022135735,0.0009571972,0.00024395586,0.0007870997],"study_design_scores_gemma":[0.000026375006,0.000043831486,0.0016194499,0.000004089233,0.00001492213,0.0000037775892,0.000075865646,0.99754924,0.00013750707,0.00030751212,0.00020857315,0.000008880345],"about_ca_topic_score_codex":0.1884853,"about_ca_topic_score_gemma":0.07622085,"teacher_disagreement_score":0.1884853,"about_ca_system_score_codex":0.0032014071,"about_ca_system_score_gemma":0.0033583082,"threshold_uncertainty_score":0.37477636},"labels":[],"label_agreement":null},{"id":"W2526713913","doi":"10.1109/tste.2016.2614397","title":"Electric Vehicle Charging Facility as a Smart Energy Microhub","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Majmaah University","keywords":"Electric vehicle; Renewable energy; Distributed generation; Smart grid; Energy storage; Computer science; Reliability engineering; Automotive engineering; Photovoltaic system; Electric power system; Engineering; Grid; Power (physics); Electrical engineering","score_opus":0.0033704681771042767,"score_gpt":0.1757023198990084,"score_spread":0.17233185172190413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526713913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05113072,0.00014784683,0.93062663,0.00052555854,0.00006556973,0.00022800991,0.00009654436,0.0008713938,0.016307756],"genre_scores_gemma":[0.84386134,0.00012978064,0.1481662,0.00011787625,0.000034552355,0.00016211339,0.00008675036,0.00007005803,0.0073713837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952316,0.00013514854,0.000017044173,0.00009653235,0.00013817642,0.000089858506],"domain_scores_gemma":[0.99972373,0.00008261775,0.000036985188,0.000045888595,0.000049846672,0.00006096332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004999404,0.00038314564,0.00036900592,0.00037758407,0.0006363683,0.0012100489,0.0013844946,0.00084805896,0.0069003734],"category_scores_gemma":[0.0005241722,0.0002523231,0.00035134933,0.0003420612,0.0006065351,0.0019543308,0.0011621226,0.0007310302,0.0008023431],"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":[0.00019142643,0.0002138051,0.0019979267,0.00014445932,0.00005688421,0.0006495362,0.00013907098,0.67366534,0.018805685,0.16488221,0.0048528905,0.13440083],"study_design_scores_gemma":[0.00005124849,0.00035036737,0.0005866008,0.000031191485,0.000026813148,0.0003577716,0.0001771414,0.94046086,0.0067033963,0.023376936,0.027832922,0.000044871893],"about_ca_topic_score_codex":0.001624462,"about_ca_topic_score_gemma":0.0023543863,"teacher_disagreement_score":0.0069003734,"about_ca_system_score_codex":0.0008184193,"about_ca_system_score_gemma":0.00096689473,"threshold_uncertainty_score":0.023084044},"labels":[],"label_agreement":null},{"id":"W2533570423","doi":"10.1109/epecs.2013.6712981","title":"Probabilistic modeling of PHEV charging load in distribution systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 Waterloo","funders":"","keywords":"Probabilistic logic; Monte Carlo method; Automotive engineering; Electric vehicle; Computer science; Engineering; Power (physics); Mathematics; Physics","score_opus":0.005796632504248465,"score_gpt":0.17517413421059894,"score_spread":0.16937750170635046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533570423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12627634,0.00045455122,0.85420495,0.0005544937,0.000070817485,0.00009600511,0.00080200017,0.000582579,0.016958212],"genre_scores_gemma":[0.98420346,0.00028795475,0.009914789,0.000035428107,0.000035087123,0.00008402071,0.00024097683,0.00007204617,0.0051262937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989894,0.0003443331,0.000040949082,0.00017347789,0.00027253228,0.00017937053],"domain_scores_gemma":[0.9990319,0.00055365445,0.00014539874,0.000080370504,0.00013623484,0.00005244398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064595,0.00066316524,0.0008206204,0.0007231358,0.0006405309,0.0014686756,0.0016854616,0.0010877423,0.002596469],"category_scores_gemma":[0.0030555339,0.00080115855,0.0007633356,0.0011573106,0.00077693793,0.0020651428,0.00072197965,0.0009298464,0.00045776993],"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":[0.000008168622,0.0000034060556,0.00022647282,0.0000040167183,0.000006091444,0.000021113525,0.000011411028,0.9944154,0.000093119575,0.0043856143,0.000091082344,0.0007340852],"study_design_scores_gemma":[0.0000020890363,0.000004918869,0.00013356988,0.0000017660689,0.0000030715692,0.000013262872,0.00000585792,0.99627644,0.00006645998,0.0032282937,0.00026025693,0.0000040960563],"about_ca_topic_score_codex":0.013435699,"about_ca_topic_score_gemma":0.008437668,"teacher_disagreement_score":0.013435699,"about_ca_system_score_codex":0.0015450888,"about_ca_system_score_gemma":0.0008306844,"threshold_uncertainty_score":0.02671498},"labels":[],"label_agreement":null},{"id":"W2537672947","doi":"10.1109/tsg.2016.2618219","title":"A Novel Framework for Evaluating Maximum PEV Penetration Into Distribution Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrification; Penetration (warfare); Monte Carlo method; Market penetration; Plug-in; Smart grid; Automotive engineering; Distribution grid; Grid; Market share; Electric vehicle; Computer science; Environmental science; Engineering; Electrical engineering; Electricity; Operations research; Voltage; Business; Power (physics); Mathematics","score_opus":0.01763446551331222,"score_gpt":0.25599950065445964,"score_spread":0.23836503514114743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537672947","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061577014,0.0001374533,0.98971635,0.00005464392,0.000014646899,0.00007055289,0.0001448788,0.00021571874,0.0034880661],"genre_scores_gemma":[0.70528156,0.0005263725,0.290741,0.000082525614,0.00007103773,0.00039109148,0.0003501426,0.00011765249,0.00243875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881446,0.00043515387,0.000048744467,0.00016018037,0.00041974703,0.0001218337],"domain_scores_gemma":[0.99886465,0.00063553086,0.00017411984,0.000085644606,0.00020066123,0.00003943458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017642061,0.0015270894,0.0010762566,0.0012843485,0.00052519195,0.0014686714,0.0017529065,0.0012015473,0.0025346868],"category_scores_gemma":[0.0044317576,0.0005195606,0.0009164661,0.0010636086,0.00078392384,0.001881723,0.0011047696,0.0010047939,0.00028122586],"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":[0.000012345999,0.000017565033,0.00030605038,0.000023089968,0.0000134275015,0.000031867316,0.000011992153,0.9797972,0.0007297493,0.012809472,0.00024772403,0.005999575],"study_design_scores_gemma":[0.0000043324844,0.000027862787,0.00015779128,0.0000061906467,0.0000067601145,0.000026400445,0.0000066149632,0.9953377,0.00027492346,0.0035332432,0.0006118536,0.000006265359],"about_ca_topic_score_codex":0.006822559,"about_ca_topic_score_gemma":0.0052667474,"teacher_disagreement_score":0.006822559,"about_ca_system_score_codex":0.0015033825,"about_ca_system_score_gemma":0.0015676528,"threshold_uncertainty_score":0.0135656595},"labels":[],"label_agreement":null},{"id":"W2538600675","doi":"10.1016/j.enpol.2016.10.001","title":"Do we have a car for you? Encouraging the uptake of electric vehicles at point of sale","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Unavailability; Point of sale; Business; Marketing; Work (physics); Certification; Intermediary; Government (linguistics); Test (biology); Point (geometry); Electric vehicle; Advertising; Transport engineering; Operations management; Engineering; Computer science; Economics; Management; World Wide Web","score_opus":0.00672135370597349,"score_gpt":0.21208682205989837,"score_spread":0.20536546835392488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538600675","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30429506,0.0016986998,0.0032736002,0.43033174,0.0009769042,0.00018204818,0.00020524983,0.0002056463,0.25883096],"genre_scores_gemma":[0.850529,0.0008905789,0.0009958727,0.08211008,0.0004797713,0.000075851756,0.00013820372,0.00006159798,0.06471902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9952867,0.0009840423,0.00011887983,0.00042193735,0.0015618548,0.0016264869],"domain_scores_gemma":[0.9832183,0.007822059,0.0013040071,0.0004308336,0.0036966023,0.0035281435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004262412,0.0001718725,0.00022804634,0.00084850314,0.002729162,0.005151799,0.0018153744,0.012847548,0.024715751],"category_scores_gemma":[0.021900222,0.00036425656,0.00051300455,0.0007152635,0.0027581668,0.00607654,0.0036189456,0.008054669,0.0026970124],"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":[0.00056328205,0.0015666643,0.078331664,0.00064806506,0.00006816497,0.0023190922,0.02300502,0.0016798719,0.021035591,0.38415235,0.34518766,0.1414426],"study_design_scores_gemma":[0.00021178958,0.00069920195,0.1916324,0.000873012,0.00006808539,0.0007129354,0.058446087,0.0032283848,0.0053965407,0.032620553,0.7059152,0.00019568884],"about_ca_topic_score_codex":0.057501666,"about_ca_topic_score_gemma":0.092272274,"teacher_disagreement_score":0.057501666,"about_ca_system_score_codex":0.0041178004,"about_ca_system_score_gemma":0.008187054,"threshold_uncertainty_score":0.11433393},"labels":[],"label_agreement":null},{"id":"W2539720802","doi":"10.1109/epecs.2013.6713036","title":"Multi-stage PHEV smart coordination in distribution systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Waterloo","funders":"","keywords":"Smart grid; Computer science; Plug-in; Work (physics); Grid; Distribution grid; Simple (philosophy); Vehicle-to-grid; Distribution (mathematics); Electric vehicle; Distributed computing; Control engineering; Engineering; Voltage; Power (physics); Electrical engineering","score_opus":0.009081504933903969,"score_gpt":0.20648825626174,"score_spread":0.19740675132783603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539720802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017076707,0.00019447875,0.9792092,0.000056674322,0.000040429753,0.000053616735,0.00001777784,0.00019565893,0.003155453],"genre_scores_gemma":[0.9460907,0.00009665527,0.050603878,0.000030663025,0.000029432656,0.00005757778,0.00002225485,0.000028200888,0.0030406201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925596,0.000253622,0.000029466815,0.00018799263,0.00016490818,0.00010814839],"domain_scores_gemma":[0.9996753,0.0001408596,0.000046232373,0.000043513923,0.0000617033,0.000032439904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063198624,0.0005917933,0.0007429662,0.00033251548,0.000558088,0.00077201787,0.0011197787,0.0005271339,0.0019671295],"category_scores_gemma":[0.000667118,0.00033419352,0.00036456174,0.0003640217,0.0004868214,0.0008452809,0.00075524586,0.0005202581,0.00024462596],"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":[0.00034409843,0.000092872426,0.0008762285,0.00015604105,0.00006702057,0.00033487412,0.00018559638,0.8085197,0.015360298,0.025782313,0.0021176902,0.14616331],"study_design_scores_gemma":[0.000023898101,0.00009964953,0.00021077185,0.0000046454984,0.000009434272,0.000060778,0.000022163238,0.99087405,0.0029556453,0.004097362,0.0016296812,0.000011891795],"about_ca_topic_score_codex":0.0016071759,"about_ca_topic_score_gemma":0.0019330115,"teacher_disagreement_score":0.0019671295,"about_ca_system_score_codex":0.0005724505,"about_ca_system_score_gemma":0.00047629586,"threshold_uncertainty_score":0.0065807104},"labels":[],"label_agreement":null},{"id":"W2541867383","doi":"10.1109/iecon.2009.5415111","title":"Optimal powertrain component sizing of a fuel cell plug-in hybrid electric vehicle using multi-objective genetic algorithm","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Powertrain; Automotive engineering; Sizing; Battery (electricity); Electric vehicle; Computer science; Power (physics); Engineering; Torque","score_opus":0.006251020713065078,"score_gpt":0.2048892222948697,"score_spread":0.19863820158180462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541867383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38596982,0.00052065455,0.59687454,0.00031337125,0.00005970845,0.0002757028,0.00016266249,0.0006014454,0.01522212],"genre_scores_gemma":[0.88198817,0.00014605373,0.11451334,0.00008099769,0.00001293665,0.00024440087,0.00015901346,0.00004638721,0.0028087266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000038833303,0.000004473944,0.000021688302,0.000026666918,0.000023993693],"domain_scores_gemma":[0.9997924,0.00012400396,0.000027475231,0.000006680735,0.0000372086,0.00001221727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003949047,0.00096478616,0.00063272,0.000746258,0.00029083635,0.0007357663,0.00053747353,0.0007577412,0.0014252675],"category_scores_gemma":[0.00074085675,0.0004736615,0.00052157865,0.000489785,0.0003374686,0.0002832629,0.00030665298,0.00041266278,0.00014068723],"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":[0.000019988913,0.000018985571,0.0001780108,0.000015165341,0.000009245808,0.000021021166,0.000008617629,0.99223,0.00069247663,0.00028044477,0.0001034402,0.00642262],"study_design_scores_gemma":[0.000007907863,0.000019670764,0.00010313243,0.0000021652445,0.0000050944554,0.0000032298374,0.000006929298,0.9992766,0.00028664648,0.00020610941,0.000081123835,0.0000015571446],"about_ca_topic_score_codex":0.010157186,"about_ca_topic_score_gemma":0.008064794,"teacher_disagreement_score":0.010157186,"about_ca_system_score_codex":0.00080076884,"about_ca_system_score_gemma":0.0010428891,"threshold_uncertainty_score":0.02019614},"labels":[],"label_agreement":null},{"id":"W2544465572","doi":"10.1109/icece.2008.4769299","title":"Voltage Fluctuations in a Remote Wind-Diesel Hybrid Power System","year":2008,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Council Canada","keywords":"Wind power; Turbine; Renewable energy; Automotive engineering; Diesel fuel; Stand-alone power system; Wind hybrid power systems; Environmental science; Electricity; Marine engineering; Electric power system; Electricity generation; Small wind turbine; Voltage; Grid energy storage; Distributed generation; Electrical engineering; Power (physics); Engineering; Aerospace engineering","score_opus":0.0051725663262138085,"score_gpt":0.18283524998315853,"score_spread":0.17766268365694474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544465572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894036,0.000058865924,0.008148594,0.000049390528,0.0000073884453,0.00001352343,0.000058117006,0.00012819396,0.0021323282],"genre_scores_gemma":[0.99958533,0.0000087360595,0.00022600147,0.0000046402265,0.0000017042672,0.0000018400672,0.00001500819,0.0000037073798,0.00015294636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998468,0.00004979788,0.0000067790274,0.000029878085,0.00004567262,0.00002108973],"domain_scores_gemma":[0.999632,0.00020976663,0.000056446836,0.000018385947,0.000054035536,0.000029370769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020444569,0.00020648979,0.0003690172,0.00022885292,0.0002321178,0.00045304382,0.00029164882,0.0003112333,0.00084372296],"category_scores_gemma":[0.0006993185,0.00015273644,0.0001594819,0.0003289093,0.0003422569,0.00034732974,0.00020190678,0.00028063607,0.0000985115],"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":[0.00062740134,0.00021823935,0.0216197,0.000061795334,0.00011105004,0.0031246545,0.00022755044,0.9341112,0.02358205,0.0026893034,0.00089894026,0.012728115],"study_design_scores_gemma":[0.000057024805,0.00023363295,0.012674445,0.000003952791,0.000022513357,0.00017143054,0.0001238485,0.9835233,0.0017920352,0.0011480597,0.00023123785,0.000018457464],"about_ca_topic_score_codex":0.0061890064,"about_ca_topic_score_gemma":0.0055807033,"teacher_disagreement_score":0.0061890064,"about_ca_system_score_codex":0.0004630057,"about_ca_system_score_gemma":0.00012621279,"threshold_uncertainty_score":0.012305975},"labels":[],"label_agreement":null},{"id":"W2545483760","doi":"10.1109/efea.2014.7059954","title":"Harnessing electric energy from vehicle induced wind gust","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Wind power; Work (physics); Resource (disambiguation); Computer science; Simple (philosophy); Energy (signal processing); Automotive engineering; Engineering; Electrical engineering; Mechanical engineering","score_opus":0.0050218052683638536,"score_gpt":0.17660118397368166,"score_spread":0.1715793787053178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545483760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61501867,0.0008797824,0.33016238,0.0008039677,0.0004708148,0.00020773432,0.00023588845,0.001454009,0.050766792],"genre_scores_gemma":[0.9730883,0.00039264868,0.018949345,0.00006125332,0.000024135885,0.00003816152,0.000062374995,0.000028873816,0.0073547736],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991393,0.000011899317,0.000004425175,0.000010520575,0.00004415431,0.000015079604],"domain_scores_gemma":[0.99993014,0.00001786103,0.000012588755,0.000016222193,0.000014253818,0.000008781915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013276617,0.00020934308,0.00017685439,0.0001901934,0.00018634548,0.00034144556,0.00037899395,0.00028559362,0.0023620955],"category_scores_gemma":[0.00017747148,0.00007401064,0.00016618354,0.00011544656,0.00041891547,0.0006356903,0.00043615434,0.0003046888,0.00043909808],"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":[0.00023372256,0.000106369465,0.0022158967,0.00059622526,0.000019637342,0.001007585,0.00018156526,0.012212405,0.807961,0.03654609,0.0021627897,0.13675667],"study_design_scores_gemma":[0.00006315664,0.002091414,0.0047841473,0.000092015325,0.000037970367,0.0012732717,0.00029029252,0.064160615,0.83109593,0.013794147,0.08225928,0.00005778085],"about_ca_topic_score_codex":0.000080219164,"about_ca_topic_score_gemma":0.0002029705,"teacher_disagreement_score":0.0023620955,"about_ca_system_score_codex":0.0001102113,"about_ca_system_score_gemma":0.0001073768,"threshold_uncertainty_score":0.007902026},"labels":[],"label_agreement":null},{"id":"W2555612403","doi":"10.1049/iet-gtd.2016.0778","title":"Optimal WDG planning in active distribution networks based on possibilistic–probabilistic PEVs load modelling","year":2016,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":35,"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 Waterloo","funders":"","keywords":"Particle swarm optimization; Probabilistic logic; Genetic algorithm; Computer science; Mathematical optimization; Network planning and design; Artificial intelligence; Machine learning; Mathematics","score_opus":0.011999143488661762,"score_gpt":0.21676524546216508,"score_spread":0.2047661019735033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555612403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04543792,0.00015877472,0.9500433,0.00011640217,0.0000122616675,0.000049075774,0.00006055543,0.00010103362,0.0040206723],"genre_scores_gemma":[0.9372117,0.0001399996,0.060564257,0.000018901263,0.0000072388084,0.00010622672,0.000065311084,0.00003110258,0.0018552905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00013533336,0.000012484632,0.000048109625,0.000079085665,0.00003789852],"domain_scores_gemma":[0.9995473,0.00030119586,0.00005266997,0.000023402132,0.000055876433,0.000019503246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068191125,0.0007065167,0.00064531737,0.0005321451,0.00039086814,0.0010109657,0.000846748,0.0008191461,0.0010224008],"category_scores_gemma":[0.0013910434,0.0007963671,0.00061843154,0.0006642919,0.00071715476,0.0010571807,0.0006293455,0.0005838241,0.000118872274],"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":[0.000005331494,0.0000025316929,0.00005058926,0.0000048496745,0.0000026597122,0.000007837671,0.0000057288057,0.9971974,0.000106153515,0.0010149821,0.000024667583,0.0015773807],"study_design_scores_gemma":[0.0000014893873,0.0000033466692,0.000027818929,9.628723e-7,0.0000011022596,0.000002024537,0.0000024995215,0.99891245,0.000066142675,0.0009273105,0.0000537075,0.0000011861877],"about_ca_topic_score_codex":0.011258916,"about_ca_topic_score_gemma":0.008500743,"teacher_disagreement_score":0.011258916,"about_ca_system_score_codex":0.0011816071,"about_ca_system_score_gemma":0.0008470526,"threshold_uncertainty_score":0.02238679},"labels":[],"label_agreement":null},{"id":"W2555983448","doi":"10.1109/pesgm.2016.7741567","title":"Queuing analysis based siting of PEV charging stations considering on distribution system impact","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"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 Waterloo","funders":"University of Toronto","keywords":"Queueing theory; Poisson distribution; Charging station; Electric vehicle; Computer science; Queue management system; Automotive engineering; Homogeneous; Simulation; Environmental science; Engineering; Statistics; Computer network; Mathematics; Power (physics)","score_opus":0.0055047736830417734,"score_gpt":0.21233096161351886,"score_spread":0.20682618793047708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555983448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051988892,0.00022205041,0.94305766,0.00019687836,0.00009757717,0.00011118653,0.00012009732,0.00046610108,0.003739672],"genre_scores_gemma":[0.9120008,0.00030715246,0.083812006,0.00006230975,0.000059827402,0.000069042275,0.0001842311,0.00007576905,0.0034288839],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902356,0.00024596805,0.000046540583,0.00022617626,0.00024057606,0.00021713936],"domain_scores_gemma":[0.99847335,0.00083149265,0.00017354148,0.000074198244,0.00034639201,0.00010099143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013956047,0.0011009659,0.0011827552,0.0010921453,0.0008683996,0.0016457629,0.0018840492,0.0006491681,0.003317773],"category_scores_gemma":[0.0026720935,0.00067277654,0.0010704977,0.0011438418,0.00055266905,0.0018486432,0.00083051424,0.0008797864,0.00030399562],"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":[0.00006600038,0.0000671343,0.0018294116,0.000054319436,0.00003648518,0.00006852594,0.000039566767,0.96631926,0.00260354,0.0065240725,0.0004961494,0.021895446],"study_design_scores_gemma":[0.0000046535956,0.000034602825,0.00036973887,0.000003753267,0.00002015349,0.000010081344,0.000027830069,0.99686146,0.0007585041,0.001621696,0.00027881886,0.0000087272565],"about_ca_topic_score_codex":0.019893395,"about_ca_topic_score_gemma":0.019335538,"teacher_disagreement_score":0.019893395,"about_ca_system_score_codex":0.002448187,"about_ca_system_score_gemma":0.0029313748,"threshold_uncertainty_score":0.03955525},"labels":[],"label_agreement":null},{"id":"W2557279964","doi":"10.1109/tcns.2017.2774012","title":"Scheduling of EV Battery Swapping–Part II: Distributed Solutions","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Advanced Research Projects Agency - Energy; Defense Threat Reduction Agency","keywords":"Computer science; Mathematical optimization; Grid; Scheduling (production processes); Smart grid; Swap (finance); Schedule; Discretization; Distributed computing; State of charge; Battery (electricity); Power (physics); Electrical engineering; Engineering; Mathematics","score_opus":0.012891608944222137,"score_gpt":0.20326768571435253,"score_spread":0.19037607677013038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557279964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025948696,0.00020761252,0.96712655,0.00030265286,0.000069106594,0.00009713525,0.00006887053,0.00011869701,0.0060607633],"genre_scores_gemma":[0.7564545,0.0004406054,0.2348171,0.00014852242,0.00011311001,0.0002979577,0.00021662748,0.00009993295,0.0074116453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994999,0.00017260421,0.000016873637,0.00013675593,0.00008034117,0.000093540024],"domain_scores_gemma":[0.9995664,0.00020925698,0.000059564903,0.00006809867,0.000060158163,0.00003645031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007790323,0.0007411618,0.0011307972,0.00022716375,0.00040109965,0.00095265405,0.0009454786,0.0008268483,0.003755924],"category_scores_gemma":[0.0013243008,0.00033151335,0.0005005756,0.0005443453,0.00059184205,0.0009149143,0.0009511731,0.00085985253,0.0003272653],"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":[0.00005770597,0.000053793778,0.00020629131,0.00004725598,0.000014139946,0.000042775035,0.000032748936,0.95949304,0.0013920787,0.010298727,0.0012767436,0.027084759],"study_design_scores_gemma":[0.000028621089,0.00005725558,0.00013621153,0.000005354545,0.0000056089048,0.000023955883,0.00004158371,0.9894049,0.0009842779,0.0076063755,0.0017007967,0.000005005953],"about_ca_topic_score_codex":0.001982846,"about_ca_topic_score_gemma":0.002092208,"teacher_disagreement_score":0.003755924,"about_ca_system_score_codex":0.0007575593,"about_ca_system_score_gemma":0.0014208326,"threshold_uncertainty_score":0.012564838},"labels":[],"label_agreement":null},{"id":"W2558465750","doi":"10.1109/tsg.2016.2633873","title":"Optimization of Aggregate Capacity of PEVs for Frequency Regulation Service in Day-Ahead Market","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"News aggregator; Operations research; Automatic Generation Control; Stochastic programming; Computer science; Economics; Business; Mathematical optimization; Engineering; Electric power system; Mathematics","score_opus":0.009957055437251528,"score_gpt":0.19731059091044315,"score_spread":0.1873535354731916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558465750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28478342,0.001819042,0.6726341,0.00186616,0.00023630226,0.00037480233,0.0010030173,0.00042268148,0.03686037],"genre_scores_gemma":[0.97697973,0.00029637985,0.017018965,0.00010202447,0.000026876956,0.00010288027,0.00016178348,0.00007061248,0.0052408683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990258,0.0003284278,0.00003469734,0.00019388368,0.00013501832,0.00028213274],"domain_scores_gemma":[0.99803585,0.0010673791,0.00024703928,0.000069100664,0.00030008977,0.00028063438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019180933,0.0014848135,0.0017910618,0.0006818758,0.0006672989,0.002941158,0.0017369946,0.0022056722,0.0059983223],"category_scores_gemma":[0.0039617755,0.0012508937,0.0009249221,0.0010147284,0.0009548463,0.0022460588,0.0014846269,0.0019172563,0.0005251286],"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":[0.000059141898,0.000028294418,0.00024719592,0.000038663264,0.00001848819,0.00008929871,0.000018084886,0.991606,0.0005595981,0.004677667,0.0006055755,0.0020519663],"study_design_scores_gemma":[0.000011595536,0.000035067616,0.00018535949,0.000006809016,0.000009107231,0.00001630743,0.000029244204,0.9963767,0.00016494394,0.0028828129,0.00027395168,0.000008208231],"about_ca_topic_score_codex":0.008975485,"about_ca_topic_score_gemma":0.0054657455,"teacher_disagreement_score":0.008975485,"about_ca_system_score_codex":0.0022451612,"about_ca_system_score_gemma":0.0021318549,"threshold_uncertainty_score":0.02006638},"labels":[],"label_agreement":null},{"id":"W2558960543","doi":"10.1109/wcsp.2016.7752598","title":"Optimal PV sizing scheme for the PV-integrated fast charging station","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Waterloo","funders":"","keywords":"Sizing; Photovoltaic system; Charging station; Renewable energy; Computer science; Automotive engineering; Quality of service; Reliability engineering; Engineering; Electric vehicle; Electrical engineering; Computer network","score_opus":0.007015481852192024,"score_gpt":0.20386994835787212,"score_spread":0.1968544665056801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558960543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124619186,0.0002827376,0.8637645,0.00020096419,0.000050994233,0.00011076166,0.00016955158,0.00025780452,0.010543427],"genre_scores_gemma":[0.9648448,0.00011698181,0.03320007,0.000022390444,0.00001019693,0.00004209012,0.000044380966,0.000018755254,0.0017002169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000024412073,0.000006257509,0.00003498269,0.0000341716,0.000032508215],"domain_scores_gemma":[0.9998722,0.000043996486,0.00003663354,0.00001065361,0.000026068323,0.000010469933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020156629,0.0004995141,0.00046677174,0.00023686572,0.00032317234,0.00068003114,0.0005984685,0.00043941592,0.0023309006],"category_scores_gemma":[0.00038669124,0.0002981497,0.00040739987,0.00038347233,0.0002197291,0.000434109,0.0003223191,0.0004409857,0.0001924683],"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":[0.000058347836,0.000027900418,0.0002683875,0.00004644585,0.000013850145,0.0000450758,0.00002700614,0.96958923,0.0077669984,0.004068908,0.0004844738,0.017603306],"study_design_scores_gemma":[0.0000071354625,0.000027558723,0.00012974249,0.000002061591,0.0000061065216,0.000012101099,0.00000765497,0.9974873,0.0009081578,0.0011730265,0.00023626995,0.0000029655926],"about_ca_topic_score_codex":0.004044342,"about_ca_topic_score_gemma":0.0060262,"teacher_disagreement_score":0.004044342,"about_ca_system_score_codex":0.0006721795,"about_ca_system_score_gemma":0.0009361615,"threshold_uncertainty_score":0.00804162},"labels":[],"label_agreement":null},{"id":"W2559123866","doi":"10.1109/cec.2016.7744035","title":"A hybrid meta-heuristic method for unit commitment considering flexible charging and discharging of plug-in electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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":"Biology Graduate Student Association, University of New Mexico; Engineering and Physical Sciences Research Council; China Scholarship Council; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Power system simulation; Plug-in; Plug and play; Heuristic; Computer science; Particle swarm optimization; Mathematical optimization; Power (physics); Binary number; Electric power; Electric power system; Automotive engineering; Engineering; Algorithm; Mathematics; Artificial intelligence; Operating system","score_opus":0.02411872616886878,"score_gpt":0.2572745440253933,"score_spread":0.2331558178565245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559123866","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028497785,0.0005303945,0.96363664,0.00024438606,0.000094052055,0.00013578,0.00008210082,0.00031882373,0.006460018],"genre_scores_gemma":[0.6841515,0.0003304926,0.3106965,0.00020973399,0.000051493287,0.0004972477,0.00019744123,0.000118593205,0.0037470583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953616,0.00020766897,0.000022667318,0.00006651783,0.000106532956,0.000060523653],"domain_scores_gemma":[0.9991279,0.0005727091,0.0000845331,0.000046549885,0.00012022898,0.000048096837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011562285,0.001112103,0.0013215439,0.0008428696,0.0004813078,0.0013012028,0.0016631823,0.0013617689,0.0027056783],"category_scores_gemma":[0.0022200604,0.0007288956,0.0008194888,0.0010478137,0.00052021176,0.0007232822,0.00071608595,0.0012117814,0.0003785872],"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":[0.00004437416,0.00003195169,0.00016809853,0.00004184471,0.000035371315,0.000034193035,0.000023997973,0.97959614,0.00037983293,0.002732253,0.0004102313,0.016501749],"study_design_scores_gemma":[0.000008995656,0.00001275587,0.000021541968,0.000004474043,0.0000041229796,0.0000038949643,0.000004966541,0.99917245,0.000080098376,0.0005374823,0.00014704623,0.0000021412939],"about_ca_topic_score_codex":0.006321849,"about_ca_topic_score_gemma":0.0052257967,"teacher_disagreement_score":0.006321849,"about_ca_system_score_codex":0.0009013085,"about_ca_system_score_gemma":0.0011261903,"threshold_uncertainty_score":0.012570083},"labels":[],"label_agreement":null},{"id":"W2559394055","doi":"10.5539/jsd.v9n6p132","title":"Environmental Risk Trade-off for New Generation Vehicle Production: Malaysia Case","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Majlis Amanah Rakyat","keywords":"Greenhouse gas; Electric vehicle; Environmental science; Life-cycle assessment; Electricity generation; Biofuel; Production (economics); Environmental economics; Business; Automotive engineering; Natural resource economics; Waste management; Engineering; Economics; Ecology","score_opus":0.0055526676295196645,"score_gpt":0.18195058715814885,"score_spread":0.17639791952862918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559394055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593013,0.0013590662,0.006882048,0.0011059609,0.000034533557,0.00017442412,0.0015769594,0.00006547764,0.029500267],"genre_scores_gemma":[0.99353266,0.00037967967,0.0007624742,0.00002984332,0.0000088315755,0.000032309737,0.00021431872,0.000008392862,0.0050315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99916375,0.00021271929,0.000032642783,0.000101645564,0.00013747215,0.00035183437],"domain_scores_gemma":[0.998701,0.0005828246,0.00029402087,0.00006432889,0.00020010365,0.00015766856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010595894,0.00094401045,0.0004124793,0.0016549622,0.0005930284,0.0025236066,0.0010059117,0.0017038991,0.006787971],"category_scores_gemma":[0.001588532,0.00055855524,0.0018761444,0.0010372684,0.00096089556,0.0018492814,0.0016996751,0.0014552709,0.00042794892],"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":[0.0013222694,0.00062957685,0.12546012,0.00041759387,0.0003168215,0.0131511,0.00036101844,0.78846806,0.004993956,0.03674918,0.0036616982,0.02446865],"study_design_scores_gemma":[0.00015334159,0.0010448709,0.09862096,0.00021994176,0.0005352112,0.0049112123,0.005112254,0.85057545,0.0071184286,0.020150641,0.011287045,0.00027061562],"about_ca_topic_score_codex":0.033404987,"about_ca_topic_score_gemma":0.023691285,"teacher_disagreement_score":0.033404987,"about_ca_system_score_codex":0.0037371311,"about_ca_system_score_gemma":0.001222228,"threshold_uncertainty_score":0.06642109},"labels":[],"label_agreement":null},{"id":"W2559532096","doi":"10.4018/978-1-5225-1829-7.ch016","title":"Feasibility Study of Renewable Energy Integrated Electric Vehicle Charging Infrastructure","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in information security, privacy, and ethics book series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of New Brunswick","funders":"","keywords":"Interfacing; Renewable energy; Electric vehicle; Smart grid; Engineering; Charging station; Information and Communications Technology; Automotive engineering; Electrical engineering; Telecommunications; Computer science; Power (physics)","score_opus":0.008996430977212408,"score_gpt":0.23467545189248157,"score_spread":0.22567902091526915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559532096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49356145,0.0013008645,0.14134891,0.0009095292,0.0003900088,0.0005713739,0.00061730016,0.0006801536,0.36062035],"genre_scores_gemma":[0.96716756,0.00038414012,0.014361101,0.000046340585,0.000015224931,0.000094676165,0.00029518202,0.000028652736,0.017607164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996321,0.00007245437,0.000009243563,0.000048658083,0.00017928098,0.000058238325],"domain_scores_gemma":[0.99969125,0.00010419061,0.000017406188,0.000032717282,0.0001312749,0.000023127504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044049494,0.0002789789,0.0002277202,0.0005178037,0.00043485887,0.0011599085,0.000721668,0.0005963382,0.011160168],"category_scores_gemma":[0.0010178505,0.00013432968,0.0003445763,0.0005065263,0.00026960945,0.0015614927,0.0006187326,0.00035080244,0.0012888304],"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":[0.0012426343,0.00059647445,0.016122337,0.0012025593,0.00008209627,0.0038275665,0.0008453656,0.2131807,0.11389797,0.275209,0.013297345,0.36049595],"study_design_scores_gemma":[0.00016928352,0.0022522337,0.01063466,0.00022998879,0.00012599137,0.0021750485,0.0037324422,0.713618,0.11268711,0.04876578,0.105509594,0.000099874516],"about_ca_topic_score_codex":0.0012197358,"about_ca_topic_score_gemma":0.0011047876,"teacher_disagreement_score":0.011160168,"about_ca_system_score_codex":0.00063160155,"about_ca_system_score_gemma":0.0006004382,"threshold_uncertainty_score":0.037334442},"labels":[],"label_agreement":null},{"id":"W2560332688","doi":"10.1109/cjece.2016.2545925","title":"Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transformer; Distribution transformer; Electrical engineering; Automotive engineering; Peak load; Electric vehicle; Telecommunications; Environmental science; Computer science; Engineering; Voltage; Physics","score_opus":0.005092877855669688,"score_gpt":0.18922943311260962,"score_spread":0.18413655525693992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560332688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634284,0.00005318172,0.0003960965,0.00005703411,0.0000020745372,0.000021030097,0.00029625543,0.000023316186,0.0028082454],"genre_scores_gemma":[0.99867177,0.00006399555,0.0002567604,0.0000056515983,0.0000010525574,0.0000044706712,0.00015949446,0.000004616405,0.00083230133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99958295,0.00008407672,0.00001561189,0.0000511861,0.00010850409,0.00015765979],"domain_scores_gemma":[0.9988016,0.0005272907,0.00009455344,0.000064823136,0.00035127613,0.00016056387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031787012,0.00043974127,0.00026552405,0.0005416372,0.0013338107,0.0010496925,0.0008715558,0.0005505164,0.0019227389],"category_scores_gemma":[0.0015041828,0.0002426739,0.0003737737,0.0014418145,0.0008235112,0.00061895757,0.0005067871,0.0003874379,0.00014050878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074196106,0.0005505636,0.26645893,0.00031020978,0.00022137727,0.0124774575,0.0036728578,0.6696792,0.012740581,0.0050797947,0.004839878,0.023227233],"study_design_scores_gemma":[0.00013176618,0.0007890124,0.38964683,0.000072669165,0.00024005813,0.001508735,0.019195495,0.5714225,0.010343769,0.00087672425,0.005613516,0.0001588767],"about_ca_topic_score_codex":0.83602303,"about_ca_topic_score_gemma":0.90723825,"teacher_disagreement_score":0.16397697,"about_ca_system_score_codex":0.015359786,"about_ca_system_score_gemma":0.0032507835,"threshold_uncertainty_score":0.3298853},"labels":[],"label_agreement":null},{"id":"W2560404856","doi":"10.1109/epec.2016.7771780","title":"A novel feature fitting simulation algorithm for estimating electric vehicle demand","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"","keywords":"Electrification; Computer science; Electricity; Demand forecasting; Process (computing); Industrial engineering; Feature (linguistics); Demand response; MATLAB; Field (mathematics); Electric vehicle; Electricity market; Machine learning; Algorithm; Operations research; Engineering; Power (physics)","score_opus":0.006829893188421657,"score_gpt":0.22281469531500797,"score_spread":0.21598480212658633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560404856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005494339,0.000032780954,0.993244,0.000038221227,0.000019005009,0.000022619082,0.000037392456,0.00040855873,0.0007030597],"genre_scores_gemma":[0.2788501,0.00013392817,0.7175459,0.00005915433,0.000035182202,0.00021264356,0.00041745687,0.00011683451,0.0026287367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.0000643256,0.000021768596,0.00005995628,0.00009286546,0.000022895481],"domain_scores_gemma":[0.99941003,0.00033718778,0.00004950118,0.00003557319,0.00015108263,0.000016687389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243104,0.0006488016,0.00061997835,0.0007346478,0.00037351652,0.00056973845,0.000792139,0.0007995341,0.0024559936],"category_scores_gemma":[0.0023624697,0.00036428813,0.00071030745,0.0007923934,0.0002426621,0.0008714615,0.00046004576,0.00071814336,0.0005836213],"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":[0.0000764378,0.00004553384,0.0016523964,0.000032918626,0.00003498013,0.000047887188,0.000049208662,0.85868686,0.0032947415,0.0047583864,0.0010578564,0.13026275],"study_design_scores_gemma":[0.00000296839,0.000008668114,0.00007023533,0.0000015855104,0.0000013251542,0.000012601714,0.0000020924688,0.998495,0.00039060897,0.0005139514,0.00049862004,0.0000023001664],"about_ca_topic_score_codex":0.008001196,"about_ca_topic_score_gemma":0.005366688,"teacher_disagreement_score":0.008001196,"about_ca_system_score_codex":0.0006543348,"about_ca_system_score_gemma":0.0008863237,"threshold_uncertainty_score":0.015909255},"labels":[],"label_agreement":null},{"id":"W2560758878","doi":"10.1109/epec.2016.7771782","title":"Funding an electric vehicle charging infrastructure from associated health benefits","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electric vehicle; Damages; Air quality index; Business; Installation; Internal combustion engine; Quality (philosophy); Environmental economics; Automotive engineering; Transport engineering; Computer science; Engineering; Economics","score_opus":0.008717049418042612,"score_gpt":0.20954824951005943,"score_spread":0.20083120009201683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560758878","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46631792,0.0048638084,0.0126636205,0.020422425,0.0012533576,0.0007652903,0.0063468153,0.0005017817,0.48686495],"genre_scores_gemma":[0.9567402,0.002005456,0.0024018942,0.00067032775,0.00031742168,0.00016186961,0.002398582,0.00003698763,0.03526725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955498,0.0011251314,0.0001344994,0.00018408555,0.0018824904,0.0011240744],"domain_scores_gemma":[0.9927105,0.0026425826,0.0011347411,0.00040086656,0.002345084,0.0007663371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020576036,0.0004754297,0.000328625,0.0016812827,0.00078194524,0.0022854686,0.0008553356,0.0013243676,0.0249398],"category_scores_gemma":[0.013397323,0.00024768303,0.00088867714,0.0017801024,0.0006279494,0.0013139071,0.002391425,0.001337538,0.001866052],"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":[0.0016310599,0.0007958098,0.11466349,0.002006987,0.00055876456,0.0015452811,0.0008014948,0.029140182,0.0070455004,0.12365749,0.04805028,0.67010367],"study_design_scores_gemma":[0.0005605464,0.0018389797,0.3139887,0.0014360783,0.00092874264,0.003022392,0.0045312326,0.023002172,0.00910582,0.03871554,0.60266215,0.00020776864],"about_ca_topic_score_codex":0.012445051,"about_ca_topic_score_gemma":0.019995902,"teacher_disagreement_score":0.0249398,"about_ca_system_score_codex":0.0034485187,"about_ca_system_score_gemma":0.009073493,"threshold_uncertainty_score":0.08343196},"labels":[],"label_agreement":null},{"id":"W2560789657","doi":"10.1109/pmaps.2016.7764136","title":"Cumulant-based probabilistic load flow analysis of wind power and electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Probabilistic logic; Monte Carlo method; Reliability (semiconductor); Wind power; Computer science; Probabilistic analysis of algorithms; Power-flow study; Cumulant; Random variable; Power (physics); Grid; Electric power system; Mathematical optimization; Reliability engineering; Probability distribution; AC power; Voltage; Engineering; Mathematics; Electrical engineering; Statistics","score_opus":0.004164036681440428,"score_gpt":0.18885494801546027,"score_spread":0.18469091133401982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560789657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05963026,0.0003139414,0.93498087,0.00010582904,0.00003283177,0.000045485387,0.00016968235,0.0002264565,0.0044946685],"genre_scores_gemma":[0.93795764,0.00041843829,0.058130264,0.000041545467,0.00006207655,0.00007595862,0.00034935464,0.000097499964,0.0028673878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996997,0.00009813158,0.000010041335,0.000031669028,0.00012569786,0.000034777317],"domain_scores_gemma":[0.9991227,0.0005415363,0.00010931934,0.00003988024,0.00016694362,0.000019556262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078586285,0.00055607775,0.00037314816,0.0012765493,0.00028632782,0.0005882151,0.00047276658,0.0004012782,0.0010558979],"category_scores_gemma":[0.0029056696,0.00020190427,0.00047346487,0.000781515,0.00038444597,0.00096358126,0.0002865269,0.00037689254,0.00014742179],"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":[0.000012066059,0.000011297156,0.000385799,0.000015509477,0.000010180737,0.000032901487,0.000012441931,0.97149795,0.00076555135,0.017600514,0.0003431225,0.00931262],"study_design_scores_gemma":[3.295907e-7,0.0000011778628,0.00009538734,6.212397e-7,7.1538216e-7,0.000002666531,7.068023e-7,0.99843997,0.00006710185,0.0013348603,0.00005535869,0.0000011381223],"about_ca_topic_score_codex":0.010749838,"about_ca_topic_score_gemma":0.008349566,"teacher_disagreement_score":0.010749838,"about_ca_system_score_codex":0.0009091019,"about_ca_system_score_gemma":0.0007974485,"threshold_uncertainty_score":0.021374524},"labels":[],"label_agreement":null},{"id":"W2562782115","doi":"10.3390/en10010004","title":"Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":65,"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":"Università degli Studi dell'Aquila; University of Waterloo","keywords":"Charging station; Electric vehicle; Grid; Photovoltaic system; Flexibility (engineering); Automotive engineering; Software deployment; Smart grid; Vehicle-to-grid; Electrical engineering; Power (physics); Computer science; Engineering","score_opus":0.00549638254945095,"score_gpt":0.21056325670267392,"score_spread":0.20506687415322297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562782115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072763614,0.00051060814,0.80395937,0.0006261679,0.00025507068,0.00032544517,0.0013389593,0.0015123937,0.11870835],"genre_scores_gemma":[0.91169167,0.0007377605,0.029215043,0.00011921367,0.000052171417,0.00047880205,0.00069029775,0.00016621046,0.056848947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.000055408622,0.0000148791605,0.000053351847,0.000074284646,0.000042113],"domain_scores_gemma":[0.9998784,0.000035197507,0.000018331204,0.000013730092,0.000041622814,0.000012713141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021129365,0.000738872,0.0007428087,0.00038178838,0.00062540954,0.0018584667,0.00227422,0.0020431955,0.010217606],"category_scores_gemma":[0.00039172647,0.00048501435,0.0010169981,0.00054938305,0.0005206771,0.00093866774,0.00091398257,0.0010526698,0.001982515],"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":[0.000037787417,0.00002458921,0.00037713852,0.000060059174,0.000015284484,0.00018121656,0.00005205243,0.98391485,0.0020069724,0.009417172,0.0004226392,0.0034902503],"study_design_scores_gemma":[0.000014519535,0.000032254684,0.0001490274,0.000011191785,0.000012401191,0.00003968574,0.00002424033,0.9941797,0.0007289781,0.0019020349,0.0028982537,0.0000076158044],"about_ca_topic_score_codex":0.012317198,"about_ca_topic_score_gemma":0.005859522,"teacher_disagreement_score":0.012317198,"about_ca_system_score_codex":0.00090703793,"about_ca_system_score_gemma":0.0010824606,"threshold_uncertainty_score":0.034181297},"labels":[],"label_agreement":null},{"id":"W2562866872","doi":"10.1109/tsg.2016.2640202","title":"Three-Stage Distribution Feeder Control Considering Four-Quadrant EV Chargers","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":41,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Voltage; Capacitor; Volt; Electrical engineering; Control theory (sociology); Voltage regulation; AC power; Low voltage; Benchmark (surveying); Quadrant (abdomen); Automotive engineering; Engineering; Computer science; Control (management)","score_opus":0.010988997931523818,"score_gpt":0.19383770303012612,"score_spread":0.1828487050986023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562866872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18378806,0.00013875417,0.8074558,0.00012739163,0.000047138958,0.00021867185,0.000036160927,0.0012078729,0.006980144],"genre_scores_gemma":[0.9748371,0.000020861326,0.023883224,0.000022043367,0.000008590242,0.000042771648,0.000015404521,0.00001524961,0.0011547233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955326,0.00008895229,0.00002402075,0.00011278153,0.00011821184,0.00010271579],"domain_scores_gemma":[0.99963605,0.00008429756,0.00007729731,0.000035935962,0.00013035558,0.000035973782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509492,0.0006323728,0.00067228044,0.00032242545,0.0005792282,0.001131315,0.0009853852,0.0005116882,0.0024427022],"category_scores_gemma":[0.00072060106,0.0002690884,0.0002750569,0.00030162575,0.00045572757,0.00037435442,0.0005567818,0.00045819758,0.00025800936],"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":[0.00058228266,0.00020284012,0.00198797,0.00009700889,0.000051405546,0.00024278963,0.0003271347,0.79926294,0.033945337,0.0034556682,0.0012498556,0.15859476],"study_design_scores_gemma":[0.000048118774,0.00018748891,0.00046454143,0.000003756853,0.000012306187,0.000039694187,0.00002528449,0.9934661,0.0046830275,0.00050320604,0.000556522,0.000009968345],"about_ca_topic_score_codex":0.007382202,"about_ca_topic_score_gemma":0.0071716076,"teacher_disagreement_score":0.007382202,"about_ca_system_score_codex":0.0006344331,"about_ca_system_score_gemma":0.0011499642,"threshold_uncertainty_score":0.014678478},"labels":[],"label_agreement":null},{"id":"W2564206759","doi":"10.14288/1.0300459","title":"Charging Electric Vehicles : Developing Policy Options to Accommodate the at Home Charging of Garage Orphan Electric Vehicles in the Metro Vancouver Region","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Business; Orphan drug; Transport engineering; Engineering","score_opus":0.009203178744959873,"score_gpt":0.1894267660491333,"score_spread":0.18022358730417343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564206759","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42043483,0.0015957194,0.018410128,0.035782374,0.00023684741,0.001610603,0.0005405987,0.00041090688,0.520978],"genre_scores_gemma":[0.8610175,0.003253883,0.02558427,0.00319852,0.000050760216,0.00048817,0.00044258588,0.00007496017,0.10588923],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99840826,0.00045339012,0.00004330074,0.000089606634,0.0003954901,0.00060992106],"domain_scores_gemma":[0.9981902,0.00031454783,0.00009443286,0.000061174745,0.0007666614,0.00057290896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019619872,0.000253451,0.00017529304,0.00081646536,0.0032114156,0.0060994546,0.001957626,0.0018681154,0.008046962],"category_scores_gemma":[0.003662487,0.00029626823,0.00022504933,0.0009429366,0.0007464418,0.0015987708,0.0018290961,0.0012465846,0.0007231227],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005122727,0.0012308628,0.06371816,0.00093255145,0.00009175035,0.004079017,0.0095277345,0.07149264,0.008025521,0.21431914,0.122444004,0.50362635],"study_design_scores_gemma":[0.00034562743,0.0003746566,0.0532493,0.00093404885,0.00010732423,0.00082469307,0.0645096,0.06531103,0.00452986,0.017090699,0.7925149,0.00020824122],"about_ca_topic_score_codex":0.7147736,"about_ca_topic_score_gemma":0.85535306,"teacher_disagreement_score":0.2852264,"about_ca_system_score_codex":0.015424235,"about_ca_system_score_gemma":0.049221743,"threshold_uncertainty_score":0.5738123},"labels":[],"label_agreement":null},{"id":"W2567739352","doi":"10.1109/tsg.2016.2647620","title":"Real-Time Smart Charging of Electric Vehicles for Demand Charge Reduction at Non-Residential Sites","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada; BC Hydro","keywords":"Peak demand; Demand response; Peaking power plant; Automotive engineering; Smart grid; Demand reduction; Metering mode; Electric vehicle; On demand; Demand management; Load management; Computer science; Reduction (mathematics); Electrical engineering; Engineering; Electricity; Distributed generation; Renewable energy; Power (physics)","score_opus":0.0090649844812852,"score_gpt":0.22451577127716743,"score_spread":0.21545078679588223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567739352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7009635,0.0002852037,0.28573284,0.0001616162,0.00010708412,0.0001919745,0.0002389257,0.0028280243,0.009490889],"genre_scores_gemma":[0.9932815,0.000024195526,0.005948885,0.000009646765,0.0000036024642,0.000009763484,0.000048256046,0.000013042678,0.00066121505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976736,0.00006528319,0.000010891432,0.00003704049,0.00007739591,0.000042144766],"domain_scores_gemma":[0.9997576,0.0000702687,0.000032527154,0.000050935912,0.00006369424,0.000025034273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025414306,0.00035010598,0.0003653881,0.0002802652,0.0001850921,0.00048171444,0.00066751736,0.00027881935,0.0019096533],"category_scores_gemma":[0.0005736106,0.00013564645,0.00020443185,0.00037893854,0.00016517786,0.0005423434,0.00029057526,0.00021449082,0.00044342576],"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":[0.0016425428,0.0005733524,0.011796714,0.00029159072,0.00008255774,0.00029563342,0.00013069167,0.4848259,0.09815824,0.0037469277,0.0036396668,0.3948162],"study_design_scores_gemma":[0.00006470133,0.00039109983,0.005625772,0.0000054023835,0.000030035131,0.00013383165,0.000103200546,0.9500738,0.03902423,0.0012509563,0.0032734522,0.000023640767],"about_ca_topic_score_codex":0.001507577,"about_ca_topic_score_gemma":0.003132527,"teacher_disagreement_score":0.0019096533,"about_ca_system_score_codex":0.00033153614,"about_ca_system_score_gemma":0.0002618628,"threshold_uncertainty_score":0.006388366},"labels":[],"label_agreement":null},{"id":"W2571097389","doi":"10.1109/rtss.2016.016","title":"On-Line Event-Driven Scheduling for Electric Vehicle Charging via Park-and-Charge","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Leverage (statistics); Scheduling (production processes); Computer science; Park and ride; Electric vehicle; Enabling; Transport engineering; Engineering","score_opus":0.008333906858431047,"score_gpt":0.22042663124716513,"score_spread":0.21209272438873408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571097389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2203311,0.00029663695,0.7697624,0.00028314217,0.00013148805,0.00025222354,0.00012291067,0.001622227,0.0071979393],"genre_scores_gemma":[0.946257,0.000068345464,0.052442014,0.000042102965,0.000013207035,0.000046736506,0.00007442165,0.0000404372,0.0010157995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991105,0.00026276047,0.000033387867,0.0001414823,0.0002594497,0.00019246421],"domain_scores_gemma":[0.9982674,0.0010110266,0.00013878905,0.00020091455,0.0002133849,0.00016849094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011303218,0.000676801,0.000643959,0.00030450817,0.00049800536,0.0009443563,0.0012933346,0.00045213028,0.002285236],"category_scores_gemma":[0.0025298065,0.0002366339,0.00029477946,0.00044860414,0.00039482323,0.0007380969,0.0006017599,0.000806419,0.00021740093],"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":[0.0006327042,0.00050461374,0.0009289139,0.0000980782,0.000033531578,0.00006648662,0.00007413611,0.9150836,0.009247724,0.011775088,0.0017140348,0.05984111],"study_design_scores_gemma":[0.000021588674,0.000070655624,0.00006684445,8.7386024e-7,0.000002138302,0.000009560248,0.000009069053,0.99695456,0.0011797745,0.0013778118,0.00030454478,0.0000026033126],"about_ca_topic_score_codex":0.0036670645,"about_ca_topic_score_gemma":0.0036342111,"teacher_disagreement_score":0.0036670645,"about_ca_system_score_codex":0.0010677635,"about_ca_system_score_gemma":0.0017523551,"threshold_uncertainty_score":0.0077471733},"labels":[],"label_agreement":null},{"id":"W2573015345","doi":"","title":"Will fleet managers really help vehicle fleets to become electric?","year":2016,"lang":"en","type":"preprint","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fleet management; Business; Electricity; De facto; Quarter (Canadian coin); Transport engineering; Operations research; Computer science; Telecommunications; Engineering","score_opus":0.017855482516459135,"score_gpt":0.2284455676045131,"score_spread":0.21059008508805396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573015345","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32316583,0.004019493,0.0041194693,0.3906184,0.0023695296,0.000097183234,0.0005166339,0.00024917326,0.27484432],"genre_scores_gemma":[0.8934567,0.002301246,0.0012578608,0.019430783,0.0006027638,0.000052182593,0.00029068554,0.000075070944,0.08253275],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9983937,0.0006741326,0.00003368134,0.00015307218,0.00020125737,0.0005441274],"domain_scores_gemma":[0.9950955,0.0013537522,0.0006830804,0.00017886913,0.0008271558,0.0018616917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563259,0.00028133742,0.00016110801,0.00047040562,0.0025191095,0.0051511396,0.0004630322,0.0027316306,0.033296134],"category_scores_gemma":[0.010852896,0.00018658853,0.00015633466,0.00044095964,0.0013605043,0.0056615775,0.00088926917,0.0019394711,0.0071545662],"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":[0.00024084821,0.0006571759,0.093502946,0.00039956288,0.000051781786,0.0013500411,0.04114708,0.0006306914,0.0018143579,0.13180569,0.53827506,0.19012481],"study_design_scores_gemma":[0.0000613184,0.00020227674,0.04927467,0.00037286882,0.000025907673,0.00046677087,0.105513215,0.00087632955,0.0014264797,0.021513674,0.82017666,0.00008977945],"about_ca_topic_score_codex":0.00662091,"about_ca_topic_score_gemma":0.011427449,"teacher_disagreement_score":0.033296134,"about_ca_system_score_codex":0.0023463112,"about_ca_system_score_gemma":0.002642614,"threshold_uncertainty_score":0.11138666},"labels":[],"label_agreement":null},{"id":"W2573613785","doi":"","title":"Exploring power storage profiles for vehicle to grid systems","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Power grid; Grid; Power (physics)","score_opus":0.2399476031522043,"score_gpt":0.31554042945143124,"score_spread":0.07559282629922695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573613785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83176064,0.00068834145,0.14441563,0.0010813331,0.00006051555,0.00007486426,0.001606515,0.0004654261,0.019846782],"genre_scores_gemma":[0.9936558,0.00011428695,0.005017687,0.000013740965,0.0000050105837,0.0000067726955,0.00022515419,0.000025014673,0.00093657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999455,0.000023477145,0.0000029745795,0.00000786373,0.000009471279,0.000010740362],"domain_scores_gemma":[0.9996124,0.00025765036,0.0000229047,0.000023668266,0.000060352868,0.000023177168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003027144,0.00032462305,0.0003409843,0.0004580934,0.0002912559,0.0009644378,0.0004445632,0.00048382694,0.004803847],"category_scores_gemma":[0.0022230928,0.00026998966,0.00035309003,0.0005705433,0.0001399919,0.0011455204,0.00033754762,0.00053305225,0.0003190603],"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":[0.00015681455,0.00004639932,0.0032865873,0.000062953346,0.000028053273,0.0001412013,0.000063702646,0.9707226,0.000868566,0.008578167,0.0013128446,0.0147322295],"study_design_scores_gemma":[0.000004360727,0.000011197474,0.00030560853,0.0000045513875,0.000002780292,0.000008337819,0.000050156992,0.9950901,0.00015453318,0.0041048517,0.00026152775,0.0000019104548],"about_ca_topic_score_codex":0.010412411,"about_ca_topic_score_gemma":0.012847384,"teacher_disagreement_score":0.010412411,"about_ca_system_score_codex":0.00053036213,"about_ca_system_score_gemma":0.0005378864,"threshold_uncertainty_score":0.020703614},"labels":[],"label_agreement":null},{"id":"W2577567932","doi":"10.1007/978-981-10-2230-2_1","title":"Reliability Assessment of Power Grid Supporting Sustainable Transportation","year":2017,"lang":"en","type":"book-chapter","venue":"Reliable and sustainable electric power and energy systems management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Grid; Automotive engineering; Power grid; Electric power system; Engineering; Penetration (warfare); Power (physics); Computer science; Operations research","score_opus":0.002528347094859158,"score_gpt":0.19399773627262634,"score_spread":0.19146938917776718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577567932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16818017,0.011232291,0.6710042,0.001283485,0.00040389498,0.00015991495,0.0005607868,0.0015094561,0.14566576],"genre_scores_gemma":[0.96399975,0.0027978094,0.019142853,0.000045935383,0.00013476756,0.0000437452,0.00031156593,0.00014210108,0.013381461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999703,0.00009416171,0.0000071332893,0.000028002818,0.00014611267,0.000021522126],"domain_scores_gemma":[0.9996301,0.00017034092,0.000024657962,0.00003641869,0.00012793242,0.000010533489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044113793,0.0005241063,0.00034416938,0.00072078785,0.00019088377,0.0007848439,0.00056983484,0.00039891238,0.0025076126],"category_scores_gemma":[0.0014416476,0.000248099,0.0003215607,0.00059365865,0.0003380637,0.00075064617,0.00031954827,0.00045612908,0.0005889337],"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":[0.00012272599,0.00003212736,0.0013906723,0.00024141822,0.00006103671,0.00018732049,0.00011808827,0.77842045,0.00729665,0.047664203,0.00918702,0.15527828],"study_design_scores_gemma":[0.000008597546,0.00011648528,0.0015553136,0.00007769552,0.000031375544,0.00014455423,0.0000952681,0.9149831,0.0034483674,0.06607683,0.01344444,0.000017955057],"about_ca_topic_score_codex":0.0019273738,"about_ca_topic_score_gemma":0.0014771101,"teacher_disagreement_score":0.0025076126,"about_ca_system_score_codex":0.00065435475,"about_ca_system_score_gemma":0.00037964052,"threshold_uncertainty_score":0.008388877},"labels":[],"label_agreement":null},{"id":"W2582119225","doi":"10.1016/j.enconman.2017.01.028","title":"A robust flexible-probabilistic programming method for planning municipal energy system with considering peak-electricity price and electric vehicle","year":2017,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Higher Education Discipline Innovation Project; Natural Science Foundation of Beijing Municipality","keywords":"Electricity; Electric vehicle; Probabilistic logic; Automotive engineering; Energy (signal processing); Computer science; Engineering; Electrical engineering; Mathematics; Artificial intelligence","score_opus":0.015007376539844413,"score_gpt":0.22159636127133917,"score_spread":0.20658898473149476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582119225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055916244,0.00016623628,0.9924246,0.00008960781,0.000028675659,0.00004007395,0.000086041786,0.00017657307,0.0013965169],"genre_scores_gemma":[0.57096696,0.0004083574,0.42275003,0.0001480406,0.00010053344,0.00047532615,0.00047591462,0.00023869303,0.0044360906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993338,0.00018972918,0.000031376225,0.00015612623,0.0001754755,0.0001134737],"domain_scores_gemma":[0.9989278,0.0006896706,0.00010300385,0.000040059145,0.00018502012,0.00005438352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018565437,0.0010260821,0.0019784388,0.0009119058,0.00060681003,0.0011784873,0.0021500355,0.001314762,0.004126407],"category_scores_gemma":[0.0026552873,0.001268275,0.0016502158,0.0013983253,0.0006487964,0.0012342447,0.0011759441,0.0012941838,0.0003074047],"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":[0.000019746203,0.000012231709,0.00012645414,0.000030853324,0.000018670207,0.000022202228,0.000009662984,0.98725015,0.00018082907,0.0031631086,0.00027030314,0.008895912],"study_design_scores_gemma":[0.0000028359418,0.000005694824,0.000023074048,0.0000023303805,0.0000035789676,0.0000034462016,0.0000017929968,0.9989379,0.000042129162,0.0008762583,0.00009876237,0.0000021706815],"about_ca_topic_score_codex":0.023030687,"about_ca_topic_score_gemma":0.015859086,"teacher_disagreement_score":0.023030687,"about_ca_system_score_codex":0.0012905735,"about_ca_system_score_gemma":0.0028004409,"threshold_uncertainty_score":0.045793295},"labels":[],"label_agreement":null},{"id":"W2587221417","doi":"","title":"Renewable Energy, Infrastructure and GHG Implication of Electrified Transportation: Metro Vancouver Case Study","year":2015,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute for Computing, Information and Cognitive Systems; Canada Excellence Research Chairs, Government of Canada","keywords":"Renewable energy; Environmental science; Life-cycle assessment; Electricity; Greenhouse gas; Electrification; Photovoltaic system; Wind power; Zero emission; Tonne; Electricity generation; Environmental economics; Environmental engineering; Engineering; Waste management; Production (economics); Power (physics); Electrical engineering; Economics","score_opus":0.007430182224318463,"score_gpt":0.19213099833414307,"score_spread":0.1847008161098246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587221417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97908974,0.00015317865,0.0006414839,0.00019975864,0.000007954883,0.0001084383,0.0011756467,0.000018673103,0.018605065],"genre_scores_gemma":[0.9920332,0.00027463652,0.0007977495,0.000031377054,0.000004285429,0.000033042368,0.0004862789,0.0000061799105,0.006333291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997032,0.00005664705,0.0000074461814,0.000029893603,0.000081138205,0.0001216124],"domain_scores_gemma":[0.99973553,0.000056927576,0.000028981663,0.000016681684,0.00010636993,0.00005543105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020478554,0.00067078666,0.00029633573,0.00086971914,0.0013813298,0.0016237498,0.00095541915,0.0008075202,0.0023493962],"category_scores_gemma":[0.00057197607,0.00026658282,0.00037605237,0.0024218746,0.00060590275,0.00035252413,0.0007129469,0.00054224854,0.00022679694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064491236,0.0008186936,0.24111882,0.0003317909,0.0002789383,0.020789795,0.0008622605,0.67420095,0.0073617743,0.009101977,0.00695524,0.037534744],"study_design_scores_gemma":[0.0002464055,0.0006039645,0.28090847,0.00014923801,0.00023419641,0.0023383878,0.01856006,0.6607081,0.0049635777,0.0034816237,0.027609976,0.00019607277],"about_ca_topic_score_codex":0.8639403,"about_ca_topic_score_gemma":0.9212651,"teacher_disagreement_score":0.1360597,"about_ca_system_score_codex":0.009438237,"about_ca_system_score_gemma":0.0029069977,"threshold_uncertainty_score":0.27372193},"labels":[],"label_agreement":null},{"id":"W2587873374","doi":"10.4271/2017-01-1274","title":"Impact of Powertrain Type on Potential Life Cycle Greenhouse Gas Emission Reductions from a Real World Lightweight Glider","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Toronto","funders":"U.S. Department of Energy","keywords":"Greenhouse gas; Powertrain; Glider; Environmental science; Automotive engineering; Computer science; Engineering; Marine engineering; Physics; Geology","score_opus":0.00787094165083437,"score_gpt":0.2474792877406911,"score_spread":0.23960834608985673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587873374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966883,0.000062572995,0.0012653486,0.0000134933125,0.0000052416663,0.000016123511,0.00014229323,0.00002282901,0.0017839078],"genre_scores_gemma":[0.9983884,0.000063892396,0.00064302934,0.000010631907,0.0000010134086,0.000015083646,0.00028939368,0.000012734501,0.0005757485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971443,0.00004388349,0.000013301192,0.00005859824,0.000113028,0.00005676959],"domain_scores_gemma":[0.9995197,0.00019637898,0.00005333211,0.000058432823,0.00015669935,0.000015440422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005002729,0.00041955468,0.0002602306,0.00047559923,0.00027199276,0.00056867016,0.00043972785,0.0003650081,0.001311944],"category_scores_gemma":[0.00088268204,0.00013977196,0.0006517348,0.00036371525,0.0003078986,0.00065788784,0.00030534808,0.0002805007,0.00030898312],"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":[0.0027922743,0.00086746545,0.3317787,0.000931237,0.0005826602,0.0011698813,0.0004077172,0.27231783,0.23990096,0.00132312,0.0013170751,0.14661102],"study_design_scores_gemma":[0.00013752881,0.0080506755,0.5148019,0.00008824435,0.000740431,0.0007322125,0.0027956117,0.11850296,0.3389447,0.0017962926,0.013271252,0.00013817522],"about_ca_topic_score_codex":0.0062472834,"about_ca_topic_score_gemma":0.013664212,"teacher_disagreement_score":0.0062472834,"about_ca_system_score_codex":0.0006065412,"about_ca_system_score_gemma":0.0002916335,"threshold_uncertainty_score":0.012421846},"labels":[],"label_agreement":null},{"id":"W2588583407","doi":"10.1016/j.renene.2017.01.066","title":"Optimal design of electric vehicle charging stations considering various energy resources","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Umm Al-Qura University","keywords":"Electric vehicle; Microgrid; Charging station; Renewable energy; Grid; Automotive engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.009650043034178015,"score_gpt":0.19887271615966173,"score_spread":0.18922267312548371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588583407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16444187,0.00074332574,0.773184,0.00076169125,0.00021354808,0.0003399246,0.00033614543,0.00031101578,0.05966845],"genre_scores_gemma":[0.97117203,0.00023698225,0.021170763,0.000050909428,0.000031302894,0.00011560127,0.000075217584,0.00003993176,0.007107343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995353,0.00016435476,0.000012773992,0.00007913038,0.000079581056,0.00012893023],"domain_scores_gemma":[0.9993812,0.00032308814,0.0000743065,0.000024740353,0.0001365144,0.000060048325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089799584,0.0012256217,0.0014756528,0.0009448814,0.00076815346,0.0027478612,0.0014880615,0.0020219213,0.006428355],"category_scores_gemma":[0.0024397378,0.0014299189,0.0009505579,0.0011084118,0.000824923,0.0010620801,0.0008590868,0.00094148726,0.000532294],"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":[0.00006443547,0.000026306901,0.00016206,0.000040428036,0.000020437446,0.000044594428,0.000022358081,0.99084103,0.0007381852,0.00382422,0.0002758732,0.003940004],"study_design_scores_gemma":[0.000023637504,0.000047878202,0.00012749028,0.0000073964125,0.000018989644,0.0000107556425,0.000042498355,0.99660754,0.00042253718,0.002260179,0.00042387695,0.0000072203215],"about_ca_topic_score_codex":0.008388101,"about_ca_topic_score_gemma":0.00858075,"teacher_disagreement_score":0.008388101,"about_ca_system_score_codex":0.001767352,"about_ca_system_score_gemma":0.0019176806,"threshold_uncertainty_score":0.021504998},"labels":[],"label_agreement":null},{"id":"W2590833226","doi":"10.1155/2018/6930932","title":"A Pattern Analysis of Daily Electric Vehicle Charging Profiles: Operational Efficiency and Environmental Impacts","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Electric vehicle; Electricity; Gasoline; Environmental economics; Duration (music); Greenhouse gas; Environmental science; Public transport; Transport engineering; Early adopter; Business; Automotive engineering; Engineering; Waste management; Power (physics); Economics; Marketing; Electrical engineering","score_opus":0.0027055559473820375,"score_gpt":0.19731564690246783,"score_spread":0.1946100909550858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590833226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591523,0.00002366557,0.0018543443,0.000032986525,0.000002234185,0.000026428786,0.00087970536,0.000025595245,0.00123984],"genre_scores_gemma":[0.9974727,0.000024008248,0.001242556,0.0000036936078,0.0000017471111,0.000012194178,0.0008234836,0.0000050320855,0.00041446768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996306,0.00007429401,0.00003999908,0.00008841618,0.00011574426,0.000050971372],"domain_scores_gemma":[0.99829847,0.0005714687,0.0003998505,0.00018148219,0.00048455774,0.00006416673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044691883,0.00019565324,0.00022830328,0.0016789472,0.00021320058,0.0007106805,0.00031994487,0.00023502485,0.001487642],"category_scores_gemma":[0.0021603988,0.00008770098,0.0004043882,0.0026529422,0.00015836114,0.00049722084,0.00033283202,0.00022353826,0.0003528538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022237962,0.00015792373,0.94857466,0.00005923219,0.00014040028,0.0001208642,0.0003850273,0.006441153,0.0026280342,0.00067997916,0.00052740483,0.040062934],"study_design_scores_gemma":[0.000005023927,0.0001773473,0.966069,0.000015595842,0.000042744938,0.00022466657,0.0015840121,0.028292721,0.0017911545,0.00072682573,0.0010534044,0.00001746798],"about_ca_topic_score_codex":0.007228314,"about_ca_topic_score_gemma":0.009837479,"teacher_disagreement_score":0.007228314,"about_ca_system_score_codex":0.00050517597,"about_ca_system_score_gemma":0.0004060339,"threshold_uncertainty_score":0.014372468},"labels":[],"label_agreement":null},{"id":"W2598611456","doi":"10.1016/j.erss.2017.03.008","title":"Confusion of innovations: Mainstream consumer perceptions and misperceptions of electric-drive vehicles and charging programs in Canada","year":2017,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Mainstream; Marketing; Perception; Business; Electricity; Control (management); Consumption (sociology); Consumer behaviour; Focus group; Environmental economics; Economics; Engineering; Psychology; Sociology; Political science","score_opus":0.026619719878053363,"score_gpt":0.29022591735044956,"score_spread":0.2636061974723962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598611456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98590845,0.00035566514,0.00012786982,0.004345684,0.00002155656,0.00001882425,0.000106434585,0.0000071233935,0.009108427],"genre_scores_gemma":[0.99811304,0.00030909025,0.00007304397,0.00033399116,0.000004486903,0.0000056834615,0.00004153427,0.000007586752,0.0011115767],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9917407,0.0013005306,0.000431491,0.00047961806,0.0046127127,0.0014349918],"domain_scores_gemma":[0.9617658,0.010142902,0.0036874118,0.00062683364,0.018770484,0.0050065294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00728268,0.00021627005,0.0004569351,0.00273488,0.009515841,0.008044671,0.00168998,0.0014368601,0.0030327674],"category_scores_gemma":[0.03239957,0.00040993287,0.0004236119,0.004501945,0.0056941756,0.0025030347,0.004085407,0.0025360277,0.00013659787],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003652787,0.0002168922,0.41529375,0.00019264116,0.00006245941,0.00072333054,0.5278298,0.00055847416,0.0010268881,0.008466573,0.00485432,0.040409572],"study_design_scores_gemma":[0.000020219977,0.00007842089,0.35561672,0.00032874665,0.000046684876,0.00012577946,0.6215045,0.0011252911,0.0005497417,0.0008553566,0.019620592,0.00012797813],"about_ca_topic_score_codex":0.98891336,"about_ca_topic_score_gemma":0.99027437,"teacher_disagreement_score":0.08125333,"about_ca_system_score_codex":0.08125333,"about_ca_system_score_gemma":0.09996683,"threshold_uncertainty_score":0.5895369},"labels":[],"label_agreement":null},{"id":"W2599470998","doi":"","title":"A Heuristic for Locating Electric Vehicle ChargingStations for Trip Chains","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Heuristic; Electric vehicle; Transport engineering; Computer science; Automotive engineering; Engineering; Artificial intelligence; Power (physics); Physics","score_opus":0.00609437081183279,"score_gpt":0.20734532352470345,"score_spread":0.20125095271287066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599470998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16651598,0.0011575952,0.81504583,0.00050319015,0.000109085966,0.0006339642,0.00070575584,0.00082662835,0.014501943],"genre_scores_gemma":[0.5497017,0.0004956835,0.44101244,0.00010971256,0.000042240237,0.00038971705,0.00076281064,0.00011392157,0.007371811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959975,0.00011989693,0.000015749672,0.00008170344,0.00006623908,0.00011672313],"domain_scores_gemma":[0.99944085,0.00029697432,0.00008679118,0.0000368416,0.000056895708,0.00008163625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005809723,0.0012027153,0.0011196929,0.0010812166,0.0007889429,0.0010737195,0.0018142669,0.0014064654,0.0075563216],"category_scores_gemma":[0.0013420946,0.0007815187,0.00071806606,0.0014202745,0.000578412,0.001292695,0.00087670615,0.0006701209,0.00065363204],"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":[0.0001771389,0.00015600285,0.0005811524,0.00017252254,0.00004643386,0.00022854326,0.00009671622,0.9445536,0.0019593798,0.008363397,0.0029451232,0.040719938],"study_design_scores_gemma":[0.000098685145,0.00014066066,0.0002217447,0.000037075322,0.000034675257,0.00010607655,0.00012793567,0.98766893,0.0014544162,0.006584898,0.003501054,0.000023954068],"about_ca_topic_score_codex":0.006231034,"about_ca_topic_score_gemma":0.007708154,"teacher_disagreement_score":0.0075563216,"about_ca_system_score_codex":0.0011435694,"about_ca_system_score_gemma":0.0017721175,"threshold_uncertainty_score":0.02527839},"labels":[],"label_agreement":null},{"id":"W2601314166","doi":"10.1109/tpwrs.2017.2754940","title":"A Second-Order Cone Programming Model for Planning PEV Fast-Charging Stations","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Second-order cone programming; Computer science; Order (exchange); Electric power system; Mathematical optimization; Power (physics); Mathematics; Physics; Economics","score_opus":0.017382459183978058,"score_gpt":0.251398292818309,"score_spread":0.23401583363433093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601314166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011092526,0.0003419221,0.9817754,0.0003100232,0.00006419332,0.000085832435,0.0003515059,0.00014343321,0.005835303],"genre_scores_gemma":[0.7100281,0.0011368239,0.27141017,0.00028588407,0.000117278134,0.0007690841,0.0011391633,0.0001775472,0.014935897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916327,0.0003246294,0.000029998313,0.00014286276,0.00019867282,0.00014053447],"domain_scores_gemma":[0.9987625,0.0007221172,0.00014581688,0.00004097294,0.00021691786,0.000111707035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016944073,0.0019226676,0.0018098594,0.00070698914,0.00056639203,0.0018739935,0.0019693007,0.001561263,0.0038581076],"category_scores_gemma":[0.0023205767,0.0012196336,0.0014173405,0.0014446588,0.0009028982,0.0013203917,0.0009929725,0.002550978,0.00048422205],"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":[0.000009037535,0.000011044143,0.00008148898,0.000018690665,0.000006100365,0.000032108877,0.00000919838,0.9922504,0.00008827781,0.0059812474,0.0003352791,0.0011772193],"study_design_scores_gemma":[0.000003082823,0.000008068831,0.000016286096,0.000002264012,0.0000014982784,0.0000036739923,0.000004158052,0.9981736,0.000022634693,0.0016109134,0.00015181795,0.0000019942545],"about_ca_topic_score_codex":0.021015562,"about_ca_topic_score_gemma":0.016914858,"teacher_disagreement_score":0.021015562,"about_ca_system_score_codex":0.0017809692,"about_ca_system_score_gemma":0.0027906878,"threshold_uncertainty_score":0.041786432},"labels":[],"label_agreement":null},{"id":"W2605396191","doi":"10.1109/tsg.2017.2693992","title":"Cooperative Control of Wind Power Generator and Electric Vehicles for Microgrid Primary Frequency Regulation","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Voltage droop; Microgrid; Automatic frequency control; Wind power; Control engineering; Automatic Generation Control; Engineering; Electric power system; Inertia; Control theory (sociology); Frequency regulation; Permanent magnet synchronous generator; Control (management); AC power; Computer science; Generator (circuit theory); Power (physics); Electrical engineering; Voltage regulator; Voltage","score_opus":0.005952202854261788,"score_gpt":0.20082066639461024,"score_spread":0.19486846354034845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605396191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08970261,0.00033302492,0.901622,0.00010410026,0.000064216816,0.00004585383,0.000010827074,0.00019849314,0.007918863],"genre_scores_gemma":[0.99291575,0.00009073326,0.0062966985,0.000010469785,0.000011765278,0.000022125801,0.00000516008,0.0000041903363,0.00064317585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.000046201247,0.00000791907,0.000035346548,0.000056029952,0.000026005979],"domain_scores_gemma":[0.99979323,0.00007510983,0.000045251498,0.000017054517,0.000055319753,0.00001399132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003431292,0.0004569222,0.00029902477,0.00018307238,0.00024288661,0.00048634442,0.00046302576,0.0002461986,0.00078069733],"category_scores_gemma":[0.0006098017,0.00011273275,0.00023856266,0.00015915361,0.0003358233,0.00041015,0.0005085599,0.00031257496,0.000109214816],"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":[0.000178783,0.00011364725,0.00095836335,0.00018935562,0.00004835478,0.00033337635,0.0002700972,0.84235394,0.03154758,0.03623659,0.0010039452,0.086765945],"study_design_scores_gemma":[0.000015920623,0.000116171424,0.00018435859,0.0000065783147,0.000013357516,0.00002797108,0.000027669736,0.9940339,0.0018922578,0.0027628646,0.00091411505,0.0000049230175],"about_ca_topic_score_codex":0.0011448222,"about_ca_topic_score_gemma":0.0014700468,"teacher_disagreement_score":0.0011448222,"about_ca_system_score_codex":0.0002322101,"about_ca_system_score_gemma":0.00034190126,"threshold_uncertainty_score":0.0026116967},"labels":[],"label_agreement":null},{"id":"W2606862832","doi":"10.1146/annurev-environ-030117-020220","title":"The Future Promise of Vehicle-to-Grid (V2G) Integration: A Sociotechnical Review and Research Agenda","year":2017,"lang":"en","type":"review","venue":"Annual Review of Environment and Resources","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":229,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Danmarks Frie Forskningsfond; Research Councils UK","keywords":"Sociotechnical system; Environmental planning; Political science; Regional science; Environmental resource management; Sociology; Computer science; Environmental science; Knowledge management","score_opus":0.029892325343207772,"score_gpt":0.33210757360857796,"score_spread":0.30221524826537016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606862832","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034123642,0.99131656,0.00063301134,0.004444677,0.00061636406,0.0000074390855,0.000032413296,0.000009729035,0.0025985423],"genre_scores_gemma":[0.0036830741,0.99405473,0.00049076474,0.0009678183,0.0004141357,0.00001062803,0.00003153727,0.0000039489632,0.00034324313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989467,0.00031982694,0.00010761355,0.00015670885,0.00035616514,0.00011288133],"domain_scores_gemma":[0.9932647,0.004612387,0.00046981557,0.00011143923,0.0013260575,0.00021565387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031406796,0.0008939749,0.0011597163,0.0034903933,0.00072978286,0.004104398,0.0011386024,0.0026854428,0.004515911],"category_scores_gemma":[0.0046602073,0.00036713443,0.0011139096,0.005542393,0.0015827925,0.0062056426,0.0014166792,0.0026293646,0.0010156053],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007485741,0.000087014094,0.00094011164,0.06343378,0.00017206788,0.0004230999,0.0009680199,0.0021439185,0.0013753588,0.122321285,0.051086977,0.75697356],"study_design_scores_gemma":[0.000006694445,0.00010080369,0.0011482358,0.028714454,0.00022025174,0.00048806026,0.0013171665,0.00047253692,0.00031713137,0.02253154,0.94463974,0.00004322063],"about_ca_topic_score_codex":0.003092078,"about_ca_topic_score_gemma":0.004061852,"teacher_disagreement_score":0.004515911,"about_ca_system_score_codex":0.0021712603,"about_ca_system_score_gemma":0.006983674,"threshold_uncertainty_score":0.016609669},"labels":[],"label_agreement":null},{"id":"W2610995270","doi":"","title":"The electric vehicle routing problem with partial charge, nonlinear charging function, and capacitated charging stations","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Laval","funders":"","keywords":"Solver; Electric vehicle; Vehicle routing problem; Charging station; Mathematical optimization; Computer science; Nonlinear system; Routing (electronic design automation); Function (biology); Charge (physics); Iterated function; Mathematics; Power (physics); Physics","score_opus":0.0076161929236703285,"score_gpt":0.1958815564179499,"score_spread":0.18826536349427958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610995270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32086346,0.0022081835,0.62095106,0.0072453483,0.00047156657,0.00020086966,0.0022726236,0.0003138514,0.045473002],"genre_scores_gemma":[0.9267757,0.0010962395,0.029216126,0.00029328666,0.00023258128,0.00009163277,0.00060726725,0.00010229708,0.04158494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942255,0.00023227604,0.0000193845,0.00014824158,0.00006389181,0.00011367051],"domain_scores_gemma":[0.9986411,0.000927767,0.00014272874,0.000055436412,0.000108570086,0.00012437605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075964,0.0012400032,0.0015289882,0.00067505916,0.00059850333,0.0022914566,0.0020867814,0.0027479657,0.0060087196],"category_scores_gemma":[0.0039141392,0.0008878722,0.0008846359,0.0016246793,0.0012429908,0.002708834,0.0011157693,0.0013456624,0.00038955038],"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":[0.00012970471,0.000047410158,0.00031680812,0.00011236242,0.00003233588,0.00018593363,0.000026913001,0.95659804,0.00038075174,0.033473782,0.0026691712,0.0060267784],"study_design_scores_gemma":[0.00004094735,0.00003487497,0.00023654308,0.000010075228,0.000017192431,0.000073219446,0.00004373121,0.96035933,0.00020800889,0.037780605,0.0011784208,0.000017077813],"about_ca_topic_score_codex":0.009001749,"about_ca_topic_score_gemma":0.006611687,"teacher_disagreement_score":0.009001749,"about_ca_system_score_codex":0.0020832908,"about_ca_system_score_gemma":0.001351263,"threshold_uncertainty_score":0.02010113},"labels":[],"label_agreement":null},{"id":"W2613600512","doi":"","title":"Gestion d’énergie globalisée du véhicule hybride rechargeable connecté à la maison","year":2014,"lang":"en","type":"preprint","venue":"theses.fr (ABES)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Automotive engineering; Electric vehicle; Grid energy storage; Engineering; Intermittent energy source; Battery (electricity); Energy storage; Pumped-storage hydroelectricity; Electrical engineering; Electricity; Grid; Electricity generation; Vehicle-to-grid; Zero emission; Distributed generation; Environmental science; Power (physics)","score_opus":0.008277630889115971,"score_gpt":0.20365517442757614,"score_spread":0.19537754353846015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613600512","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5123261,0.002288259,0.41966078,0.0013626472,0.00024518784,0.00010926235,0.00065539277,0.0020927095,0.06125958],"genre_scores_gemma":[0.9569088,0.00064908765,0.02338616,0.00006720171,0.000020222036,0.000059652393,0.00033380097,0.00012812084,0.018446947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988186,0.000014807022,0.0000028065597,0.000036918613,0.000036730202,0.00002682272],"domain_scores_gemma":[0.9998667,0.00003866216,0.000015212586,0.000012452936,0.00005484556,0.000012016461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031546727,0.00048812857,0.0003350654,0.00034202106,0.0003216085,0.0012841405,0.00036255654,0.00052606827,0.005387288],"category_scores_gemma":[0.00043351433,0.00017576134,0.00038462196,0.0004411764,0.0001971649,0.0009711018,0.0005144363,0.00046832205,0.00073100335],"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":[0.00045011385,0.000088596586,0.007275882,0.00039480077,0.00011787912,0.00031907277,0.00032020934,0.66546416,0.13077094,0.01693789,0.0034054557,0.17445509],"study_design_scores_gemma":[0.000063244726,0.000846151,0.015263727,0.00010596884,0.00013039734,0.00019548116,0.0008518453,0.8465285,0.060512327,0.011500297,0.063920714,0.000081341845],"about_ca_topic_score_codex":0.0077974065,"about_ca_topic_score_gemma":0.014708891,"teacher_disagreement_score":0.0077974065,"about_ca_system_score_codex":0.0009560698,"about_ca_system_score_gemma":0.00049254583,"threshold_uncertainty_score":0.01802224},"labels":[],"label_agreement":null},{"id":"W2617362425","doi":"10.1049/iet-est.2017.0007","title":"EVs for frequency regulation: cost benefit analysis in a smart grid environment","year":2017,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"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 Regina","funders":"","keywords":"Grid; Vehicle-to-grid; Smart grid; Battery (electricity); Service (business); Automotive engineering; Reliability engineering; Frequency grid; Electric power system; Levelling; Engineering; Computer science; Electric vehicle; Power (physics); Electrical engineering; Voltage; Business","score_opus":0.007720489668536946,"score_gpt":0.21158101034050011,"score_spread":0.20386052067196317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617362425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6242828,0.0032016842,0.30719143,0.0014799024,0.00010853906,0.00040641834,0.0010781062,0.00021466996,0.062036566],"genre_scores_gemma":[0.98736167,0.00076251593,0.00789986,0.00004305194,0.00002590284,0.00007092787,0.00014319246,0.000017566363,0.0036752725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954516,0.00021248292,0.000010703459,0.00003777757,0.000112238544,0.00008163643],"domain_scores_gemma":[0.9989772,0.0007970675,0.000059894133,0.000037826234,0.000103297774,0.000024791583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013301224,0.00086724485,0.0006604689,0.00092779414,0.000294859,0.0012511839,0.0006134371,0.000996763,0.0038704902],"category_scores_gemma":[0.002737986,0.00031169684,0.0008406999,0.0008842069,0.00038918716,0.00192671,0.0005461148,0.0006531476,0.00020267926],"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":[0.00008929903,0.000032208776,0.0009383826,0.00005202898,0.000024105026,0.00008579143,0.000016030326,0.97704077,0.00053524313,0.01067741,0.000508577,0.0100002885],"study_design_scores_gemma":[0.000011013068,0.000092011964,0.0008981561,0.000012125124,0.000030332229,0.00003338172,0.000043653672,0.9942788,0.00025074926,0.003688443,0.00065300846,0.000008227345],"about_ca_topic_score_codex":0.00807016,"about_ca_topic_score_gemma":0.007756843,"teacher_disagreement_score":0.00807016,"about_ca_system_score_codex":0.0018152862,"about_ca_system_score_gemma":0.0010164484,"threshold_uncertainty_score":0.016046405},"labels":[],"label_agreement":null},{"id":"W2618469925","doi":"","title":"Electrification of the Canadian Road Transportation Sector: A 2050 Outlook with TIMES-Canada","year":2013,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Road transport; Transport engineering; Business; Economic growth; Geography; Regional science; Environmental planning; Engineering; Electricity; Economics","score_opus":0.001638469327502132,"score_gpt":0.12555401854327491,"score_spread":0.12391554921577279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618469925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45027262,0.06328371,0.0032901247,0.10812338,0.0024966046,0.0001906542,0.13498063,0.0007083413,0.23665395],"genre_scores_gemma":[0.84645325,0.03916173,0.003647768,0.0036361201,0.0001953192,0.00006349309,0.021100268,0.000101487996,0.08564045],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915457,0.000023770232,0.00001687965,0.000047887952,0.0004154206,0.00034143406],"domain_scores_gemma":[0.9985922,0.000020145302,0.000060253165,0.0000095776595,0.0010483628,0.0002694047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006709926,0.0009868094,0.00030573693,0.0017611284,0.0026379067,0.002821656,0.0010039002,0.001192007,0.0087328805],"category_scores_gemma":[0.0011329105,0.00019233824,0.0009286631,0.006205949,0.0007278086,0.0016438689,0.0011499237,0.0012459785,0.0007319005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010177518,0.00024376129,0.1397682,0.0016915385,0.00037521857,0.0014396977,0.0021823891,0.024909386,0.0027500195,0.09793734,0.50085956,0.22682515],"study_design_scores_gemma":[0.00006924444,0.00011866561,0.32202056,0.00073929026,0.0002386971,0.00036777603,0.006722769,0.0094796475,0.0014825719,0.0050560986,0.6535258,0.00017878952],"about_ca_topic_score_codex":0.9964702,"about_ca_topic_score_gemma":0.9980471,"teacher_disagreement_score":0.080271035,"about_ca_system_score_codex":0.080271035,"about_ca_system_score_gemma":0.12369659,"threshold_uncertainty_score":0.58240986},"labels":[],"label_agreement":null},{"id":"W2624593122","doi":"10.1049/iet-gtd.2016.1859","title":"Optimal design of secondary distribution system considering electric vehicles high‐power residential fast chargers","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"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","keywords":"Distribution transformer; Transformer; Voltage; Automotive engineering; Electric vehicle; Power (physics); Electric power system; Reliability engineering; Computer science; Engineering; Mathematical optimization; Electrical engineering; Mathematics","score_opus":0.009810221017898559,"score_gpt":0.2068624737847978,"score_spread":0.19705225276689925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624593122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06848524,0.00023688185,0.9170489,0.00013424322,0.000060768216,0.000114586706,0.00010906207,0.0002865899,0.013523696],"genre_scores_gemma":[0.950363,0.00016769726,0.045135207,0.00002448861,0.000024097135,0.000083476145,0.00006312321,0.00003911586,0.004099835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965453,0.00011925144,0.000011066119,0.00005847159,0.00009117646,0.00006544674],"domain_scores_gemma":[0.9997904,0.000059477035,0.000039023886,0.000011820025,0.00007949204,0.000019844756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036847583,0.0007710669,0.0007116029,0.00033062362,0.0003601278,0.0009491208,0.00045393044,0.0004703516,0.0033518123],"category_scores_gemma":[0.0005442623,0.0003381027,0.00049389794,0.00025147747,0.00032745753,0.00035047886,0.00039519128,0.0004078868,0.00041171364],"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":[0.00010530802,0.000041801242,0.00048758762,0.00012654194,0.000025927175,0.00012476475,0.00004897843,0.9612724,0.011604936,0.0056761573,0.00080863485,0.019677052],"study_design_scores_gemma":[0.000023924718,0.0001377554,0.00029883048,0.0000068076215,0.000021779466,0.00004593381,0.00003033918,0.99297804,0.0027088989,0.0015260184,0.0022160907,0.000005582851],"about_ca_topic_score_codex":0.0025540567,"about_ca_topic_score_gemma":0.0028000628,"teacher_disagreement_score":0.0033518123,"about_ca_system_score_codex":0.00082715566,"about_ca_system_score_gemma":0.0011117079,"threshold_uncertainty_score":0.011212885},"labels":[],"label_agreement":null},{"id":"W2625432062","doi":"","title":"An assessment of present and future competitiveness of electric commercial vans","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Business; Industrial organization; Attractiveness; Environmental economics; Electric light; Transport engineering; Incentive; Range (aeronautics); Battery electric vehicle; Battery (electricity); Computer science; Economics; Engineering; Microeconomics; Electrical engineering","score_opus":0.006315301798666426,"score_gpt":0.24268957331003357,"score_spread":0.23637427151136714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625432062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631401,0.0014465421,0.00171362,0.00036810496,0.000016364796,0.00002836575,0.008033185,0.000031285515,0.025222458],"genre_scores_gemma":[0.9923785,0.0003623674,0.0006399612,0.00002260101,0.000015267166,0.000010956184,0.004838761,0.00001582736,0.0017156607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869746,0.00021396844,0.00006915004,0.00028728502,0.0004898043,0.00024234726],"domain_scores_gemma":[0.9968453,0.0009729633,0.0006924843,0.00011436932,0.0011049205,0.00026999967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013762376,0.0003260582,0.0005076518,0.0037693153,0.0004033448,0.0038345924,0.0007276537,0.0006656963,0.0050417245],"category_scores_gemma":[0.004519859,0.00018133162,0.00054301403,0.0054668346,0.0003890056,0.0021670763,0.0005846753,0.0003946881,0.0005080352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067743787,0.00013753505,0.8003559,0.00033121664,0.00047853793,0.0010577263,0.00087741914,0.0917255,0.0015489495,0.03190033,0.006839522,0.06406991],"study_design_scores_gemma":[0.000023482022,0.00025061873,0.8510278,0.00014580632,0.00013989759,0.0007747679,0.0073233917,0.08327983,0.0016205587,0.004176943,0.051115524,0.000121513374],"about_ca_topic_score_codex":0.051202685,"about_ca_topic_score_gemma":0.052198328,"teacher_disagreement_score":0.051202685,"about_ca_system_score_codex":0.0031094474,"about_ca_system_score_gemma":0.00087606354,"threshold_uncertainty_score":0.10180932},"labels":[],"label_agreement":null},{"id":"W2633319204","doi":"10.1049/iet-gtd.2016.1916","title":"Multi‐agent transactive energy management system considering high levels of renewable energy source and electric vehicles","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transactive memory; Renewable energy; Computer science; Energy (signal processing); Multi-agent system; Energy management; Environmental economics; Distributed computing; Automotive engineering; Engineering; Electrical engineering; Artificial intelligence; Knowledge management; Mathematics; Economics","score_opus":0.011656644849783591,"score_gpt":0.2016948122407627,"score_spread":0.1900381673909791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2633319204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21470948,0.00062859047,0.7613697,0.0008128039,0.00017894772,0.00018377298,0.00011794616,0.0004507798,0.02154791],"genre_scores_gemma":[0.9880034,0.00009669743,0.008246975,0.000045175406,0.000015467782,0.00008274378,0.000026433816,0.000005625799,0.0034775308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994536,0.00018179203,0.00002756164,0.00014111794,0.00011494645,0.00008093372],"domain_scores_gemma":[0.99941623,0.00019899904,0.00014784363,0.00003182427,0.00014113933,0.00006393042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006776656,0.00088158593,0.0010316073,0.00033796104,0.0008169163,0.0016493112,0.0012690864,0.0010428156,0.0018386112],"category_scores_gemma":[0.00091091136,0.00038886027,0.0006166947,0.00037800078,0.0007014768,0.00081431115,0.0011509439,0.0007988635,0.00020368976],"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":[0.00009844075,0.000062646075,0.00064377347,0.000055407792,0.00006519705,0.0003340007,0.00006602108,0.9826491,0.0024658632,0.00555561,0.00036947988,0.0076344567],"study_design_scores_gemma":[0.0000105346535,0.00003478686,0.00007341483,0.0000017313099,0.000008525513,0.000010588388,0.000011707643,0.99899143,0.00014624112,0.00053986156,0.00016811828,0.0000030238787],"about_ca_topic_score_codex":0.01106551,"about_ca_topic_score_gemma":0.006366384,"teacher_disagreement_score":0.01106551,"about_ca_system_score_codex":0.0009000628,"about_ca_system_score_gemma":0.0009545403,"threshold_uncertainty_score":0.02200222},"labels":[],"label_agreement":null},{"id":"W26599456","doi":"10.1007/978-3-642-23837-6_4","title":"Sustainability Issues for Vehicles and Fleet Vehicles Using Hybrid and Assistive Technologies","year":2013,"lang":"en","type":"book-chapter","venue":"Ecoproduction","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Hybrid vehicle; Automotive engineering; Sustainability; Drivetrain; Fuel efficiency; Engineering; Internal combustion engine; Transport engineering; Power (physics); Torque","score_opus":0.008775336413295703,"score_gpt":0.21591261547568422,"score_spread":0.20713727906238852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26599456","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015937192,0.084974974,0.037732977,0.00979916,0.0018027237,0.000047954174,0.000105884676,0.00009695401,0.84950215],"genre_scores_gemma":[0.23483844,0.07166638,0.012987143,0.0012971034,0.001309311,0.00010874286,0.00018439449,0.0001690802,0.67743933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982375,0.00004121528,0.0000053827775,0.000021816744,0.00008408189,0.000023828039],"domain_scores_gemma":[0.9998921,0.000048395625,0.000006499552,0.000007843867,0.000038849612,0.0000062170107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034637726,0.00065613614,0.00030687908,0.0005425184,0.0007963538,0.002227492,0.0006103392,0.0013338787,0.008012032],"category_scores_gemma":[0.00043882043,0.00018118473,0.00037206497,0.0008296497,0.0011319197,0.0022512346,0.00092985306,0.0011502627,0.0010563075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010300646,0.000053261094,0.00029249108,0.00030092106,0.000012129119,0.00020740881,0.00063766015,0.0074902712,0.0013639269,0.78362936,0.04151721,0.16448511],"study_design_scores_gemma":[0.000001954604,0.000020830825,0.00032057127,0.00023983646,0.000005921715,0.0002234214,0.0006684768,0.002345242,0.0008763513,0.40171224,0.5935753,0.000009915948],"about_ca_topic_score_codex":0.0024163197,"about_ca_topic_score_gemma":0.0056905807,"teacher_disagreement_score":0.008012032,"about_ca_system_score_codex":0.0015964312,"about_ca_system_score_gemma":0.0009669247,"threshold_uncertainty_score":0.026802897},"labels":[],"label_agreement":null},{"id":"W2697146589","doi":"10.1109/tii.2017.2718524","title":"Smart Grid Solution for Charging and Discharging Services Based on Cloud Computing Scheduling","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Smart grid; Scheduling (production processes); Computer science; Reliability (semiconductor); Grid; Energy supply; Supply chain; Distributed computing; Reliability engineering; Engineering; Energy (signal processing); Power (physics); Operating system; Business; Operations management; Electrical engineering","score_opus":0.02273034666056293,"score_gpt":0.23692807951910416,"score_spread":0.21419773285854124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2697146589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10981688,0.0008449122,0.86687255,0.00097231456,0.0004206103,0.00033966106,0.0003240302,0.0016818788,0.018727077],"genre_scores_gemma":[0.9149587,0.00027324082,0.08151357,0.00010880685,0.00006189508,0.00007829832,0.00017776509,0.000060838687,0.002766887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995572,0.00007248086,0.00002775765,0.00008680791,0.000108946115,0.00014677369],"domain_scores_gemma":[0.9996358,0.00007409048,0.00004633202,0.000052431908,0.0001148449,0.00007647555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043384504,0.00061452,0.0007826355,0.0004648591,0.0010020183,0.001128481,0.0014008578,0.00052536867,0.002999006],"category_scores_gemma":[0.00069726224,0.0002155939,0.0004660153,0.0010688254,0.00027746535,0.0010420643,0.0007648293,0.00055950397,0.00044595005],"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":[0.00046771258,0.00029962606,0.0022942484,0.0001447497,0.000052116004,0.00032972888,0.00012876479,0.8017737,0.008990244,0.03234364,0.013378265,0.13979717],"study_design_scores_gemma":[0.000014318528,0.000019469946,0.00013529071,0.0000027256544,0.000005818967,0.000025359306,0.000026638341,0.9951199,0.00067372865,0.0026807562,0.001291546,0.0000043933164],"about_ca_topic_score_codex":0.011932055,"about_ca_topic_score_gemma":0.01307412,"teacher_disagreement_score":0.011932055,"about_ca_system_score_codex":0.0011866547,"about_ca_system_score_gemma":0.0021961378,"threshold_uncertainty_score":0.023725212},"labels":[],"label_agreement":null},{"id":"W2713203437","doi":"10.1016/j.trd.2017.06.019","title":"Life cycle GHG emissions and lifetime costs of medium-duty diesel and battery electric trucks in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence","keywords":"Truck; Diesel fuel; Greenhouse gas; Automotive engineering; Environmental science; Battery (electricity); Fuel efficiency; Life-cycle assessment; Waste management; Environmental engineering; Engineering; Production (economics); Power (physics)","score_opus":0.01023389469378298,"score_gpt":0.24197935306689897,"score_spread":0.231745458373116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2713203437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98010546,0.00091913267,0.00026529477,0.00020257341,0.0000074374093,0.00002828019,0.01176174,0.000022979686,0.00668704],"genre_scores_gemma":[0.9878853,0.0004514656,0.00015612875,0.000022379145,0.0000014104062,0.0000054530474,0.0039240266,0.0000065024806,0.007547277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997247,0.000014259766,0.000013283658,0.0000309539,0.00011707643,0.00009980041],"domain_scores_gemma":[0.9994822,0.000041663734,0.000046789948,0.000010501843,0.00033465348,0.00008408155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002298468,0.00034824703,0.00022797722,0.0010011242,0.0012310335,0.0009819532,0.00080050796,0.00032596028,0.0032362863],"category_scores_gemma":[0.000546565,0.00027657975,0.00066446344,0.0019233586,0.0004362275,0.00044132886,0.00034934632,0.00035520422,0.00020462355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017048558,0.00016152083,0.83470744,0.00047085035,0.00049604604,0.001442544,0.001599276,0.099939264,0.006917776,0.0078648245,0.015236221,0.029459331],"study_design_scores_gemma":[0.000024085259,0.00006230569,0.96708995,0.000060154347,0.000106259315,0.00011262474,0.002832004,0.019726224,0.0013513945,0.00036158483,0.008219361,0.00005398468],"about_ca_topic_score_codex":0.99718153,"about_ca_topic_score_gemma":0.9984107,"teacher_disagreement_score":0.050257158,"about_ca_system_score_codex":0.050257158,"about_ca_system_score_gemma":0.017706227,"threshold_uncertainty_score":0.36464292},"labels":[],"label_agreement":null},{"id":"W2725276555","doi":"","title":"Charging Up: Policies to Spark Electric Vehicle Adoption in Metro Vancouver","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SPARK (programming language); Electric vehicle; Business; Electric cars; Transport engineering; Environmental science; Engineering; Automotive engineering; Computer science; Power (physics); Physics","score_opus":0.008167088800628178,"score_gpt":0.19570601598770568,"score_spread":0.1875389271870775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725276555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8052292,0.0029234919,0.0011632596,0.017087007,0.000078147954,0.00020391567,0.00029779546,0.000037789378,0.17297938],"genre_scores_gemma":[0.98305285,0.0018767436,0.0006321365,0.0012006635,0.000015135182,0.000043484048,0.000099380806,0.000009491228,0.013070197],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99705124,0.00067350804,0.000121295336,0.00016114909,0.0008735822,0.0011190935],"domain_scores_gemma":[0.9925101,0.0024904495,0.00058707857,0.00014352404,0.003285353,0.0009833891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053207,0.0001180398,0.00018116987,0.0011395529,0.005274507,0.004056235,0.0013274148,0.0011977542,0.0029282393],"category_scores_gemma":[0.010639302,0.00028442385,0.00020224067,0.0023264152,0.0017386228,0.0010093638,0.0016892047,0.0013570104,0.00019301541],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004261467,0.00053091085,0.37767243,0.0026640738,0.00012906524,0.0065990025,0.108762905,0.006192867,0.008294255,0.14953625,0.029759647,0.30943248],"study_design_scores_gemma":[0.00008686842,0.00022695251,0.3853345,0.001397668,0.00012126802,0.0007368509,0.24412195,0.003182537,0.0030048967,0.006167906,0.35547453,0.00014412936],"about_ca_topic_score_codex":0.9224083,"about_ca_topic_score_gemma":0.97206074,"teacher_disagreement_score":0.07759172,"about_ca_system_score_codex":0.036051348,"about_ca_system_score_gemma":0.06193009,"threshold_uncertainty_score":0.26157206},"labels":[],"label_agreement":null},{"id":"W2727682788","doi":"","title":"Projet MICROBUS HYBRIDE SERIE. Rapport final","year":2008,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.01390313947889568,"score_gpt":0.20029875485067555,"score_spread":0.18639561537177987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727682788","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061374977,0.0058472534,0.61975557,0.0033825706,0.0037437377,0.0022465244,0.010632267,0.07700491,0.21601225],"genre_scores_gemma":[0.15559858,0.0031903523,0.36056837,0.0013838146,0.0005468955,0.001866983,0.026916562,0.010854286,0.4390741],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889284,0.0002113027,0.00004827336,0.00020830308,0.00049335964,0.00014606028],"domain_scores_gemma":[0.99890757,0.00018872379,0.00003239614,0.00021219332,0.0004716199,0.00018742665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018525295,0.001653528,0.0006474004,0.00075767154,0.0007115917,0.002637336,0.0015942863,0.0017181745,0.04183422],"category_scores_gemma":[0.0018541074,0.000624595,0.0008737768,0.0005333336,0.00034709094,0.0023300527,0.0015626097,0.0018001564,0.026516119],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002457486,0.0008395293,0.0032056645,0.0016185159,0.00022616041,0.0010640606,0.0009934588,0.023891823,0.12649783,0.033550233,0.21486586,0.5907895],"study_design_scores_gemma":[0.00031387524,0.001045934,0.0020401077,0.00012591144,0.00009086184,0.0006347781,0.00031754136,0.039126493,0.08404999,0.0055504316,0.86660653,0.000097490476],"about_ca_topic_score_codex":0.004442066,"about_ca_topic_score_gemma":0.0037071279,"teacher_disagreement_score":0.04183422,"about_ca_system_score_codex":0.00090899406,"about_ca_system_score_gemma":0.0016462745,"threshold_uncertainty_score":0.13994938},"labels":[],"label_agreement":null},{"id":"W2728298757","doi":"","title":"Electric Vehicles and the Customers: Report WP 1.3 draft","year":2011,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Hull; Transport engineering; Business; Telecommunications; Engineering; Aeronautics; Marine engineering","score_opus":0.010442932918339825,"score_gpt":0.21586073216274104,"score_spread":0.2054177992444012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728298757","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027027316,0.007296715,0.0050437013,0.015748292,0.0024983305,0.0008054221,0.31897452,0.00087789306,0.62172776],"genre_scores_gemma":[0.05920327,0.014648633,0.0037876535,0.0013742235,0.00042324243,0.0007999615,0.17037098,0.0005457543,0.74884635],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841774,0.0001252762,0.00006162927,0.00010570603,0.0011144883,0.00017516775],"domain_scores_gemma":[0.99802303,0.0004062064,0.00014568669,0.0001049448,0.0012375612,0.00008254747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010896184,0.00063014135,0.00029916278,0.0011842337,0.0005422369,0.002537454,0.0005265817,0.0016948704,0.027712133],"category_scores_gemma":[0.0033029087,0.00045490483,0.00046204982,0.0029921802,0.00015966465,0.0014821372,0.0006181711,0.0013800319,0.01942357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014466353,0.00010200974,0.005344253,0.00035412892,0.00002133069,0.00016162012,0.00044735573,0.001187451,0.00075218594,0.0060425345,0.9414551,0.04398731],"study_design_scores_gemma":[0.000017445505,0.000081441416,0.034672536,0.00031979007,0.000041428902,0.00010788588,0.0012942422,0.0004788473,0.0033817673,0.0013226821,0.9582502,0.000031675794],"about_ca_topic_score_codex":0.06906329,"about_ca_topic_score_gemma":0.054316286,"teacher_disagreement_score":0.06906329,"about_ca_system_score_codex":0.0020396379,"about_ca_system_score_gemma":0.0049068653,"threshold_uncertainty_score":0.1373226},"labels":[],"label_agreement":null},{"id":"W2734992730","doi":"","title":"Electrifying demand: Increasing zero emission vehicle adoption in Vancouver","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zero emission; Zero (linguistics); Business; Economics; Engineering; Electrical engineering","score_opus":0.007278807853142158,"score_gpt":0.1921683174013395,"score_spread":0.18488950954819733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734992730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171805,0.00006513105,0.000039873885,0.00030087124,0.0000027638794,0.00001799248,0.000054964497,0.000003430187,0.0077969288],"genre_scores_gemma":[0.9957072,0.0002103554,0.000104873965,0.00006949286,0.0000013808066,0.000011147811,0.000059633556,0.0000031319016,0.0038327624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931204,0.00013769254,0.000023672825,0.00007337042,0.000219898,0.00023324878],"domain_scores_gemma":[0.9981623,0.0003354905,0.00016940701,0.0000433594,0.0008874397,0.00040193187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043775214,0.00014222096,0.0001544302,0.0006802603,0.0025734336,0.0019780246,0.0007728699,0.0005289362,0.0027395461],"category_scores_gemma":[0.0030272764,0.00017298161,0.00010678203,0.0013209305,0.0006227262,0.00054427754,0.0014102241,0.00064549176,0.00026271632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023519027,0.00046876064,0.8120058,0.00015939365,0.000030753257,0.0016780191,0.06499717,0.00071596954,0.0043287254,0.0018945521,0.0045992,0.10888643],"study_design_scores_gemma":[0.000017320186,0.00013330509,0.8310782,0.00007861445,0.000019167017,0.0002499144,0.15453342,0.0012753305,0.00072869234,0.0002684616,0.011591974,0.000025716148],"about_ca_topic_score_codex":0.88261765,"about_ca_topic_score_gemma":0.9569015,"teacher_disagreement_score":0.11738235,"about_ca_system_score_codex":0.010927067,"about_ca_system_score_gemma":0.008861102,"threshold_uncertainty_score":0.23614722},"labels":[],"label_agreement":null},{"id":"W2735855405","doi":"10.1109/tii.2017.2724559","title":"Extracting and Defining Flexibility of Residential Electrical Vehicle Charging Loads","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Flexibility (engineering); Electric vehicle; Smart grid; Automotive engineering; Grid; Electrical load; Smart meter; Computer science; Engineering; Electrical engineering; Power (physics); Voltage","score_opus":0.03025061585851168,"score_gpt":0.2570774187451501,"score_spread":0.22682680288663842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735855405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6461612,0.00015070173,0.34755218,0.00009928068,0.000014673256,0.000060297683,0.0013322993,0.0007739309,0.0038554985],"genre_scores_gemma":[0.9724715,0.000047973626,0.026109265,0.000009564887,0.000014980555,0.000028475879,0.00084582844,0.000033479686,0.00043886673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953675,0.000078982426,0.000047074755,0.00014686785,0.00013339559,0.000056928635],"domain_scores_gemma":[0.9989967,0.00043759868,0.00022883706,0.00017065367,0.00012073019,0.00004545934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003604538,0.00052811403,0.00035545928,0.0026112874,0.0002862342,0.0007180428,0.00034513406,0.0002661808,0.00043272096],"category_scores_gemma":[0.0024665266,0.00017912546,0.00046207954,0.0017798253,0.00033241534,0.0006826834,0.00066525745,0.00035162142,0.0001912815],"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":[0.0005297432,0.00027117197,0.12234368,0.00014864463,0.00018114495,0.0008964115,0.0009447918,0.44559857,0.03991292,0.0082442695,0.001805873,0.37912273],"study_design_scores_gemma":[0.0000071210075,0.000057810208,0.056114577,0.000019044339,0.000025284353,0.00035111097,0.00027728267,0.92614496,0.008600813,0.0061710225,0.0021888148,0.00004222976],"about_ca_topic_score_codex":0.002273558,"about_ca_topic_score_gemma":0.003518493,"teacher_disagreement_score":0.0026112874,"about_ca_system_score_codex":0.00032642955,"about_ca_system_score_gemma":0.00025269747,"threshold_uncertainty_score":0.0045206547},"labels":[],"label_agreement":null},{"id":"W2736996155","doi":"10.1109/ccnc.2017.7983201","title":"A novel pricing policy for G2V and V2G services","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Smart grid; Schedule; Dynamic pricing; Computer science; Cloud computing; Grid; Load management; Order (exchange); Distributed computing; Electrical engineering; Business; Engineering; Operating system; Microeconomics; Finance; Economics","score_opus":0.009442762557517885,"score_gpt":0.24217344480749853,"score_spread":0.23273068224998064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736996155","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033088066,0.0008953635,0.94692075,0.0019337832,0.0010329682,0.0002956928,0.0001929409,0.00096213556,0.014678283],"genre_scores_gemma":[0.89994997,0.00054431596,0.09396918,0.00047275162,0.00041445132,0.00012823597,0.00011826639,0.000119057855,0.0042839074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981316,0.0005265432,0.000101204896,0.0003312847,0.00059029344,0.0003190346],"domain_scores_gemma":[0.998615,0.0004035271,0.00013252857,0.0001893154,0.00046249962,0.0001971554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013590422,0.00078060396,0.0009608741,0.00059836416,0.0010370491,0.0023141187,0.0020186864,0.0013931387,0.0027440235],"category_scores_gemma":[0.004829548,0.000296875,0.0005461476,0.0011199174,0.00074139354,0.0026532537,0.0010758543,0.0017232388,0.0006392158],"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":[0.00038413514,0.0006434617,0.0027363128,0.00023336531,0.00009815648,0.0006397391,0.00020162504,0.32030204,0.024737941,0.3674689,0.028455423,0.25409895],"study_design_scores_gemma":[0.000032985285,0.00007480847,0.00035792266,0.000011225354,0.000019049645,0.00025982127,0.00004182136,0.95834476,0.0025774266,0.029381491,0.008860247,0.000038445425],"about_ca_topic_score_codex":0.0032507433,"about_ca_topic_score_gemma":0.0022172167,"teacher_disagreement_score":0.0032507433,"about_ca_system_score_codex":0.0016892619,"about_ca_system_score_gemma":0.002355994,"threshold_uncertainty_score":0.0122564435},"labels":[],"label_agreement":null},{"id":"W2738343460","doi":"10.1109/iwcmc.2017.7986424","title":"Dynamic pricing model for EV charging-discharging service based on cloud computing scheduling","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"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 Ottawa","funders":"","keywords":"Cloud computing; Computer science; Smart grid; Scheduling (production processes); Dynamic pricing; Electric vehicle; Grid; Schedule; Vehicle-to-grid; Distributed computing; Electricity pricing; Electricity; Power (physics); Mathematical optimization; Engineering; Electricity market; Electrical engineering; Operating system","score_opus":0.014133354123765924,"score_gpt":0.24817927146321955,"score_spread":0.23404591733945362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738343460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07003875,0.0014098145,0.8960537,0.00195828,0.0005187362,0.00027109432,0.0006767712,0.00042423053,0.028648593],"genre_scores_gemma":[0.9605993,0.0006494785,0.027456965,0.00016920375,0.00010980801,0.0001572786,0.00019444777,0.0000747917,0.010588784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912566,0.00021991045,0.000039204377,0.00016417918,0.00017579804,0.00027523618],"domain_scores_gemma":[0.9993772,0.00024026267,0.0000739962,0.00003481015,0.00018806565,0.00008572092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081541104,0.001010839,0.0014262905,0.0004920198,0.0007632592,0.0019376258,0.0024427685,0.0013847722,0.006088887],"category_scores_gemma":[0.0018416869,0.00049418054,0.0010726086,0.0010788435,0.0006764953,0.0013527392,0.0009547771,0.0014789645,0.00057157036],"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":[0.000053939875,0.000035696547,0.00037074683,0.000041290652,0.000013272916,0.00010164598,0.000029055647,0.97314644,0.00061419216,0.019380208,0.0015415299,0.004671982],"study_design_scores_gemma":[0.000004188182,0.0000055540677,0.000037952523,0.0000014720465,0.000003195074,0.0000075838475,0.000005237655,0.9984419,0.000040562318,0.001231311,0.00021892572,0.000002268215],"about_ca_topic_score_codex":0.02074724,"about_ca_topic_score_gemma":0.010962032,"teacher_disagreement_score":0.02074724,"about_ca_system_score_codex":0.0024097716,"about_ca_system_score_gemma":0.002444832,"threshold_uncertainty_score":0.04125297},"labels":[],"label_agreement":null},{"id":"W2740444906","doi":"10.1109/icc.2017.7997117","title":"A novel electric vehicles charging/discharging scheme with load management protocol","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":34,"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 Ottawa","funders":"","keywords":"Plug-in; Grid; Electric vehicle; Computer science; Vehicle-to-grid; Automotive engineering; Schedule; Power flow; Charging station; Electric power system; Power (physics); Simulation; Engineering","score_opus":0.008254935932854484,"score_gpt":0.22548697467371395,"score_spread":0.21723203874085947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740444906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030198595,0.00039696856,0.9538911,0.00045663424,0.00034984175,0.00034759045,0.00016110463,0.0023765075,0.01182157],"genre_scores_gemma":[0.799005,0.00031793903,0.18708453,0.00034644504,0.00013310506,0.00036917467,0.00035608435,0.00010912855,0.012278602],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957234,0.00007608159,0.00004489212,0.00009668507,0.00014741573,0.00006257353],"domain_scores_gemma":[0.9996712,0.00006967735,0.000036184698,0.00008073447,0.00011254599,0.00002963234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038250734,0.00051545113,0.0005134172,0.000494645,0.00068442273,0.00097653735,0.0020110589,0.00063013175,0.0025580113],"category_scores_gemma":[0.0008584809,0.00020424792,0.00027147614,0.0008357952,0.0003575205,0.0015264148,0.0012216148,0.00083164946,0.0006682061],"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":[0.00073357165,0.00075845374,0.0014397412,0.00035471408,0.0001008649,0.00068965333,0.0002971754,0.17023706,0.05229603,0.09361372,0.017847529,0.66163146],"study_design_scores_gemma":[0.000085149215,0.00016175503,0.00025983425,0.000012229949,0.000028594077,0.00038626735,0.00006465739,0.9551079,0.011517316,0.014645593,0.017691007,0.0000397297],"about_ca_topic_score_codex":0.0013922626,"about_ca_topic_score_gemma":0.0017622188,"teacher_disagreement_score":0.0025580113,"about_ca_system_score_codex":0.0005264979,"about_ca_system_score_gemma":0.0009519491,"threshold_uncertainty_score":0.008557439},"labels":[],"label_agreement":null},{"id":"W2746779937","doi":"","title":"Electric Car Users’ Time of Charging Problem under Peak Load Pricing When Delay in Charging Time Involves Uncertain Cost","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Electric cars; Electric vehicle; Automotive engineering; Peak load; Computer science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.006149213909672029,"score_gpt":0.18951998947763102,"score_spread":0.183370775567959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746779937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5599536,0.0034589116,0.3817358,0.0068461737,0.0004359492,0.00084749446,0.0028352512,0.00031094675,0.04357591],"genre_scores_gemma":[0.9766064,0.00081977935,0.0125018535,0.0002443322,0.00014583483,0.00016179217,0.00051340903,0.00006166243,0.008944774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964972,0.0010680708,0.00019807204,0.0008521317,0.00043026404,0.00095428305],"domain_scores_gemma":[0.9890547,0.0076368866,0.0013746972,0.00027630653,0.0006561548,0.0010013155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003778668,0.0016323918,0.0032770236,0.0009633757,0.0012997827,0.0038461688,0.0037387917,0.004457863,0.011275537],"category_scores_gemma":[0.011814729,0.0011777417,0.001855045,0.0018792124,0.0016844246,0.0042908923,0.0020462868,0.0038065186,0.00054380595],"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":[0.0014336879,0.00067060103,0.016796589,0.00084588234,0.0004653287,0.004813011,0.00072230294,0.81739855,0.002350343,0.121371865,0.00955159,0.023580294],"study_design_scores_gemma":[0.00008467906,0.00017901612,0.0024767285,0.000048485163,0.00012480939,0.0008248705,0.00071220635,0.95252925,0.0005385645,0.0402372,0.0021505551,0.00009370355],"about_ca_topic_score_codex":0.009724972,"about_ca_topic_score_gemma":0.005613634,"teacher_disagreement_score":0.011275537,"about_ca_system_score_codex":0.0025048377,"about_ca_system_score_gemma":0.0019308378,"threshold_uncertainty_score":0.037720382},"labels":[],"label_agreement":null},{"id":"W2747366356","doi":"10.1109/tie.2017.2740834","title":"Intelligent Parking Garage EV Charging Scheduling Considering Battery Charging Characteristic","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":166,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Reservation; Operator (biology); Mathematical optimization; Profit (economics); Operations research; Engineering; Computer network","score_opus":0.029630201007477455,"score_gpt":0.23958740660999783,"score_spread":0.20995720560252037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747366356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29759926,0.00028386188,0.69856,0.00020572741,0.000057767513,0.000056846704,0.00003196499,0.00026874937,0.0029358976],"genre_scores_gemma":[0.990021,0.00005403299,0.00955112,0.000011518625,0.000009345047,0.000008811203,0.000011741364,0.000008354827,0.00032412348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964595,0.00011791641,0.000014704389,0.00006437785,0.00004733792,0.00010981735],"domain_scores_gemma":[0.9996032,0.000167083,0.000069258975,0.00003917228,0.000060335165,0.00006107351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062735187,0.00045575362,0.0006543105,0.00026990884,0.0005049127,0.00071468804,0.00072907377,0.00042922728,0.0006039151],"category_scores_gemma":[0.0010593741,0.00022770501,0.00028704287,0.000555019,0.0004026201,0.00070453854,0.0005374047,0.0003847789,0.00007098541],"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":[0.00010217751,0.0000360712,0.0008417832,0.000034739653,0.000014544855,0.00006921191,0.000043523374,0.9736821,0.0029603879,0.0044706236,0.00029363952,0.017451303],"study_design_scores_gemma":[0.0000036986094,0.00002186053,0.00013781985,7.4218724e-7,0.000003233574,0.000012302599,0.000017605224,0.9983291,0.00038316273,0.0009868707,0.00010127301,0.0000023782404],"about_ca_topic_score_codex":0.0038231106,"about_ca_topic_score_gemma":0.0029022414,"teacher_disagreement_score":0.0038231106,"about_ca_system_score_codex":0.0005972651,"about_ca_system_score_gemma":0.0011668258,"threshold_uncertainty_score":0.0076016784},"labels":[],"label_agreement":null},{"id":"W2749138617","doi":"10.48550/arxiv.1708.07626","title":"Model Predictive Control for Smart Grids with Multiple Electric-Vehicle Charging Stations","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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":"Division of Electrical, Communications and Cyber Systems; Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; Royal Academy of Engineering; National Science Foundation","keywords":"Computer science; Benchmark (surveying); Scheduling (production processes); Electric vehicle; Model predictive control; Demand response; Peak demand; Smart grid; Power (physics); Automotive engineering; Control (management); Mathematical optimization; Electricity; Engineering; Electrical engineering; Mathematics","score_opus":0.025449012570608553,"score_gpt":0.16696232663024657,"score_spread":0.14151331405963802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749138617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039963093,0.0011937569,0.9401724,0.00082463113,0.00021914302,0.00008225673,0.00018523217,0.00086333527,0.016496163],"genre_scores_gemma":[0.9845173,0.0003236004,0.0106427325,0.00007504404,0.000045103374,0.000089101784,0.000101407706,0.00002758876,0.0041781203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997466,0.00006330682,0.000010165496,0.000059530325,0.00007096894,0.000049469378],"domain_scores_gemma":[0.99956447,0.00022764984,0.000068611764,0.00002449047,0.00009447182,0.000020207384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060375687,0.0009409645,0.0009907944,0.00027334667,0.0005100943,0.0011497363,0.00089204765,0.00073148205,0.0025594255],"category_scores_gemma":[0.001147766,0.00044601105,0.00047559896,0.00050742156,0.0006485005,0.0005834155,0.00082784053,0.0014889345,0.00028983987],"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":[0.00003274746,0.000013920085,0.00014224685,0.00003313003,0.000011923262,0.00002599905,0.000018407609,0.98973036,0.00025578684,0.0026511194,0.00044810507,0.0066363364],"study_design_scores_gemma":[0.000004807939,0.000009066566,0.00003820255,0.0000019755053,0.0000026114321,0.0000015856715,0.0000040474247,0.9986935,0.00005512416,0.0010064038,0.00018127686,0.0000014034705],"about_ca_topic_score_codex":0.023796035,"about_ca_topic_score_gemma":0.021427615,"teacher_disagreement_score":0.023796035,"about_ca_system_score_codex":0.0010454033,"about_ca_system_score_gemma":0.0012515326,"threshold_uncertainty_score":0.047315},"labels":[],"label_agreement":null},{"id":"W2752570787","doi":"10.1088/1755-1315/83/1/012009","title":"Flywheel-Based Fast Charging Station – FFCS for Electric Vehicles and Public Transportation","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Ontario Tech University","funders":"University of Ontario Institute of Technology","keywords":"Flywheel; Automotive engineering; Charging station; Electric vehicle; Energy storage; Flywheel energy storage; Photovoltaic system; Public transport; Computer science; Engineering; Power (physics); Electrical engineering; Transport engineering","score_opus":0.00833542898730193,"score_gpt":0.18750722786387153,"score_spread":0.1791717988765696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752570787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26050097,0.004262655,0.54485446,0.0028932611,0.0012938353,0.00032092788,0.0007432019,0.00523406,0.17989668],"genre_scores_gemma":[0.93993807,0.0007106343,0.020134456,0.00011964617,0.00005217929,0.00004193996,0.00026854695,0.000047295238,0.03868729],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987733,0.000013299021,0.000004058371,0.00002200397,0.000056540004,0.00002676176],"domain_scores_gemma":[0.99994314,0.0000051446027,0.0000033535555,0.000009785409,0.000030437726,0.000008190609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010073599,0.0003396437,0.00016981071,0.00032136453,0.00048634812,0.0007711951,0.00076095155,0.0006485157,0.007509209],"category_scores_gemma":[0.00012073423,0.00009066466,0.00029122148,0.00034296763,0.0001984058,0.0009560014,0.00041426579,0.0003754207,0.0014406389],"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":[0.0007219435,0.00022365597,0.0033765442,0.0004802713,0.00007927141,0.0009362202,0.00024089478,0.08105333,0.19703943,0.13098966,0.029572438,0.55528635],"study_design_scores_gemma":[0.000088158595,0.0006891573,0.003957471,0.00008372023,0.00006526895,0.0010767262,0.00041240623,0.39363033,0.14674696,0.025634559,0.42751026,0.00010497386],"about_ca_topic_score_codex":0.004871997,"about_ca_topic_score_gemma":0.0065437797,"teacher_disagreement_score":0.007509209,"about_ca_system_score_codex":0.00088685297,"about_ca_system_score_gemma":0.00077611284,"threshold_uncertainty_score":0.025120795},"labels":[],"label_agreement":null},{"id":"W2753953496","doi":"10.1109/tii.2017.2741347","title":"Secure Optimal Itinerary Planning for Electric Vehicles in the Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Computer science; Electric vehicle; Energy consumption; Automotive industry; Scheme (mathematics); Grid; Driving range; Authentication (law); Architecture; Computer network; Computer security; Engineering; Electrical engineering","score_opus":0.032164200453892684,"score_gpt":0.250669690709295,"score_spread":0.21850549025540233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753953496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10064018,0.0004888168,0.8891258,0.0004029517,0.00006628349,0.00014001083,0.00022467361,0.00046161932,0.008449546],"genre_scores_gemma":[0.9715034,0.00015985881,0.02652621,0.00002550047,0.000007789258,0.00005295569,0.00007267776,0.000028083976,0.001623551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994723,0.00013332619,0.00002660265,0.000119701486,0.00010172603,0.00014632044],"domain_scores_gemma":[0.9994253,0.00028527176,0.000106369174,0.000053878546,0.00007615954,0.000053015323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009011093,0.00067772885,0.0007627887,0.00045201436,0.0007571937,0.0011720263,0.00087167916,0.00055433594,0.0029856197],"category_scores_gemma":[0.0015583631,0.00037831298,0.00048173624,0.00081912737,0.0008850519,0.0013105103,0.0009505321,0.0008388379,0.00025992113],"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":[0.00008836175,0.000017390536,0.0002762165,0.000027716338,0.0000091596075,0.00003712115,0.00003373398,0.9766486,0.00060966995,0.014038786,0.00040765002,0.007805547],"study_design_scores_gemma":[0.000010157475,0.000018721605,0.00006731925,0.0000032943174,0.0000050739422,0.000009377738,0.0000181974,0.99298334,0.0003483399,0.006164347,0.00036817475,0.0000036706774],"about_ca_topic_score_codex":0.010765905,"about_ca_topic_score_gemma":0.010684056,"teacher_disagreement_score":0.010765905,"about_ca_system_score_codex":0.0018899163,"about_ca_system_score_gemma":0.0024864112,"threshold_uncertainty_score":0.021406472},"labels":[],"label_agreement":null},{"id":"W2754216624","doi":"10.1109/tii.2017.2750638","title":"Evaluating Electric Vehicles’ Response Time to Regulation Signals in Smart Grids","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"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 Waterloo","funders":"","keywords":"News aggregator; Computer science; Smart grid; Network packet; Computer network; Wireless; Real-time computing; Demand response; Flexibility (engineering); Engineering; Telecommunications","score_opus":0.04022107657627398,"score_gpt":0.282044746685532,"score_spread":0.24182367010925798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754216624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614011,0.00023408531,0.036205966,0.00007121145,0.000032450083,0.000028191558,0.00018320794,0.00033400417,0.0015098391],"genre_scores_gemma":[0.9985903,0.000039148854,0.0011229634,0.0000049581263,0.0000021258704,0.000008115479,0.00007552554,0.000008201525,0.00014854845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951494,0.00013631137,0.000030476238,0.00008137661,0.00014150882,0.00009532599],"domain_scores_gemma":[0.997615,0.0016893768,0.00023249497,0.00010178713,0.00026049872,0.000100934936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071482325,0.0006493553,0.00041429122,0.0005219698,0.0001968604,0.00046266202,0.00048448227,0.0006908831,0.00083299534],"category_scores_gemma":[0.0035562923,0.00020901758,0.0002915479,0.00047099587,0.00025742702,0.0007306983,0.00036794262,0.0004209009,0.00017296495],"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":[0.00022498227,0.00008308949,0.007242041,0.00004895623,0.000026531077,0.00008013885,0.00002794032,0.98178077,0.0044566803,0.00039963677,0.00017055265,0.005458697],"study_design_scores_gemma":[0.0000051399134,0.000099661745,0.0019568254,0.0000025462843,0.0000073875763,0.000015191057,0.000022942364,0.99560684,0.00208053,0.00012708647,0.00007005081,0.000005900774],"about_ca_topic_score_codex":0.008185858,"about_ca_topic_score_gemma":0.003027131,"teacher_disagreement_score":0.008185858,"about_ca_system_score_codex":0.0008383983,"about_ca_system_score_gemma":0.00040275735,"threshold_uncertainty_score":0.01627642},"labels":[],"label_agreement":null},{"id":"W2762676138","doi":"","title":"Lessons learned: a five pillar empirical analysis of whether or not Norwegian incentive schemes for purchasing electric vehicles can be implemented in British Columbia","year":2017,"lang":"en","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Norwegian; Incentive; Pillar; Purchasing; Engineering; Business; Operations research; Marketing; Economics; Mechanical engineering; Microeconomics","score_opus":0.028590487221047244,"score_gpt":0.3105628459375862,"score_spread":0.281972358716539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762676138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347272,0.00414713,0.0012933828,0.017799761,0.00020429792,0.0003059995,0.0060240915,0.000048659167,0.035449576],"genre_scores_gemma":[0.98215854,0.0013861442,0.0008187221,0.0019419679,0.00005376541,0.00012752118,0.0017736005,0.000016923135,0.011722845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9896431,0.0046038195,0.00053930917,0.0010010245,0.0017496027,0.0024632118],"domain_scores_gemma":[0.93477726,0.045713894,0.00475635,0.0019839448,0.009205161,0.0035633817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01127389,0.0005932876,0.0020367226,0.0017105573,0.0021808883,0.004488913,0.0035138738,0.0016587339,0.012253204],"category_scores_gemma":[0.043894492,0.00040557125,0.0014076233,0.004866316,0.0034529099,0.002623666,0.002399874,0.0034691293,0.0006362773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018149047,0.0014573118,0.8274885,0.0013833849,0.0026078299,0.0016445211,0.0052941577,0.015279001,0.0004508926,0.047186762,0.037722647,0.057670098],"study_design_scores_gemma":[0.0006870698,0.0007386971,0.8523884,0.001969747,0.003953242,0.00014482309,0.06130572,0.025449583,0.0009678902,0.013786971,0.038370207,0.00023760264],"about_ca_topic_score_codex":0.960192,"about_ca_topic_score_gemma":0.9660118,"teacher_disagreement_score":0.039807975,"about_ca_system_score_codex":0.023434246,"about_ca_system_score_gemma":0.049064424,"threshold_uncertainty_score":0.17002815},"labels":[],"label_agreement":null},{"id":"W2762990446","doi":"","title":"A Matheuristic for the Electric Vehicle Routing Problem with Capacitated Charging Stations","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Vehicle routing problem; Electric vehicle; Routing (electronic design automation); Computer science; Computer network; Physics","score_opus":0.00999528772938811,"score_gpt":0.20671508537202954,"score_spread":0.19671979764264144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762990446","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020057661,0.00032635606,0.95281833,0.00086600747,0.00011823673,0.00030431675,0.00035746596,0.00040855657,0.024743073],"genre_scores_gemma":[0.13484545,0.00056264154,0.8536613,0.00034688707,0.0001523083,0.0006834498,0.0006445527,0.00021492374,0.008888421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995921,0.00013230222,0.000019961088,0.00008974934,0.00012344854,0.00004237159],"domain_scores_gemma":[0.9991009,0.0006015949,0.00010793051,0.000063795465,0.000078223275,0.00004761107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010163094,0.0017562339,0.0006813058,0.0010921473,0.0007112944,0.0017023854,0.001296284,0.0017391888,0.009375803],"category_scores_gemma":[0.00304685,0.00054603675,0.0015193361,0.0010555786,0.0007389403,0.0013258853,0.0011873427,0.0025584116,0.0011837312],"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":[0.00007760025,0.0001579441,0.0005553136,0.00028086876,0.00004110277,0.000116919284,0.000090469606,0.9032101,0.0025205973,0.047561724,0.004524849,0.040862467],"study_design_scores_gemma":[0.00003632818,0.0000847891,0.00015902596,0.000034467626,0.000018361006,0.00009103918,0.000044382752,0.972866,0.00084354257,0.019640556,0.006171269,0.000010314995],"about_ca_topic_score_codex":0.0026918524,"about_ca_topic_score_gemma":0.00401865,"teacher_disagreement_score":0.009375803,"about_ca_system_score_codex":0.0015114092,"about_ca_system_score_gemma":0.0015189773,"threshold_uncertainty_score":0.031365216},"labels":[],"label_agreement":null},{"id":"W2763126965","doi":"10.1109/tits.2017.2754382","title":"Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":226,"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":"Simon Fraser University; Nanyang Technological University; National Research Foundation Singapore","keywords":"Charging station; Heuristic; Electric vehicle; Scalability; Bilevel optimization; Computer science; Queueing theory; Mathematical optimization; Simulation; Operations research; Automotive engineering; Optimization problem; Engineering; Computer network; Power (physics)","score_opus":0.010173254723382963,"score_gpt":0.2365750731133874,"score_spread":0.22640181839000445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763126965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015285483,0.00028001145,0.97700673,0.00028871075,0.00007330607,0.00011966335,0.00012704683,0.0002080303,0.0066109244],"genre_scores_gemma":[0.73502046,0.0006835558,0.25406918,0.00028933844,0.00010020969,0.00035387187,0.0003861013,0.00019752726,0.008899733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991672,0.0002859585,0.00002957698,0.00014339361,0.00016928784,0.00020464441],"domain_scores_gemma":[0.9989304,0.0006155977,0.00008844226,0.00004615217,0.00020240174,0.00011688683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011781164,0.0015625138,0.0020890664,0.0009694424,0.0008430552,0.0020930048,0.0019324751,0.0016169923,0.005498213],"category_scores_gemma":[0.0026199478,0.0010408354,0.0013697618,0.001450653,0.001250914,0.0018238254,0.0016237653,0.0017811974,0.00061151484],"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":[0.000022605785,0.000023277084,0.00016137818,0.00003763941,0.000010462718,0.000045269753,0.000025030966,0.98334336,0.00026312718,0.010609017,0.00074885826,0.0047100578],"study_design_scores_gemma":[0.0000060809903,0.000009505727,0.000022189166,0.0000032308958,0.0000031445036,0.000007117763,0.000014240217,0.9955512,0.000066010696,0.004051731,0.00026255706,0.000003046659],"about_ca_topic_score_codex":0.017100042,"about_ca_topic_score_gemma":0.012749455,"teacher_disagreement_score":0.017100042,"about_ca_system_score_codex":0.0024170028,"about_ca_system_score_gemma":0.003066564,"threshold_uncertainty_score":0.034000993},"labels":[],"label_agreement":null},{"id":"W2765853887","doi":"10.1155/2017/4252946","title":"Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Driving range; Limit (mathematics); Battery (electricity); Range (aeronautics); Speed limit; Heuristic; Computer science; Electric vehicle; Charging station; Path (computing); Mathematical optimization; Simulation; Public transport; Flow network; Automotive engineering; Transport engineering; Power (physics); Engineering; Mathematics","score_opus":0.009290257920467986,"score_gpt":0.21279805946951205,"score_spread":0.20350780154904408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765853887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026489025,0.00016175969,0.96701103,0.00015258185,0.000024962403,0.0000751473,0.000066996814,0.00011258151,0.005905967],"genre_scores_gemma":[0.8838375,0.0004277569,0.107887,0.00009520755,0.000030211757,0.00028770682,0.00016323291,0.000084781976,0.0071864864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992508,0.00031626763,0.000020878919,0.00011760852,0.00012162335,0.0001727878],"domain_scores_gemma":[0.9989598,0.00062060094,0.00010789643,0.00002768545,0.00022471577,0.000059277907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010323643,0.0011353245,0.0012807357,0.00095606793,0.00059967645,0.0011968846,0.0016295399,0.0012133913,0.004748723],"category_scores_gemma":[0.0027307475,0.00094149006,0.0010852064,0.0010658228,0.000703904,0.0011763754,0.0013634617,0.00090061786,0.0004309626],"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":[0.000029344075,0.000029341527,0.00037582056,0.000033537053,0.000018606266,0.00006403208,0.00003501321,0.9839536,0.00045359795,0.009997464,0.00031741784,0.0046921493],"study_design_scores_gemma":[0.000005658047,0.000018442826,0.000056367062,0.0000028902418,0.0000065267222,0.000010057513,0.000021808297,0.99734575,0.00011330489,0.0021322845,0.00028279328,0.0000041414783],"about_ca_topic_score_codex":0.010783337,"about_ca_topic_score_gemma":0.0072157765,"teacher_disagreement_score":0.010783337,"about_ca_system_score_codex":0.0015545164,"about_ca_system_score_gemma":0.0017784307,"threshold_uncertainty_score":0.021441162},"labels":[],"label_agreement":null},{"id":"W2765987226","doi":"10.1109/tsg.2017.2766363","title":"Multi-Objective Power Management for EV Fleet With MMC-Based Integration Into Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of New Brunswick","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Natural Science Foundation of China","keywords":"Smart grid; State of charge; Modular design; Grid; Computer science; Power (physics); Smart power; MATLAB; Power Balance; Energy management; Automotive engineering; Engineering; Electrical engineering; Battery (electricity); Energy (signal processing)","score_opus":0.008892305898819465,"score_gpt":0.2282433759278135,"score_spread":0.21935107002899404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765987226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19536059,0.00023242271,0.7917853,0.00021303445,0.000031544634,0.00010664209,0.00005895123,0.00031689258,0.0118945455],"genre_scores_gemma":[0.988311,0.0000338168,0.010757493,0.000014940071,0.0000046783725,0.000035852117,0.0000210172,0.0000076048877,0.00081350206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982554,0.000056044428,0.00000795246,0.000029340474,0.00005132553,0.000029738896],"domain_scores_gemma":[0.99988973,0.00002984474,0.000031030304,0.000009686617,0.000028222228,0.000011532868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042264324,0.00043499962,0.0004492041,0.00028358554,0.0002787072,0.0006902546,0.0004956519,0.0003129519,0.0010335393],"category_scores_gemma":[0.00041848377,0.00020015903,0.00038230303,0.00027637917,0.00019419852,0.0005583232,0.00050447515,0.00040942928,0.00012015939],"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":[0.000034999663,0.000033968256,0.00048118757,0.000022679023,0.0000266657,0.00005084535,0.0000237993,0.97874177,0.00282536,0.0022542109,0.00020332904,0.015301182],"study_design_scores_gemma":[0.0000043463233,0.00003339321,0.00014180974,0.0000016854945,0.000004173437,0.00000576695,0.000005486963,0.99864453,0.00033993658,0.00064557494,0.00017126446,0.000001969237],"about_ca_topic_score_codex":0.0026613278,"about_ca_topic_score_gemma":0.0034204293,"teacher_disagreement_score":0.0026613278,"about_ca_system_score_codex":0.0004669233,"about_ca_system_score_gemma":0.00039569454,"threshold_uncertainty_score":0.0052917004},"labels":[],"label_agreement":null},{"id":"W2766155925","doi":"10.1155/2017/7491234","title":"Range and Battery Depletion Concerns with Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Software deployment; Range (aeronautics); Battery (electricity); Driving range; Electric vehicle; Probabilistic logic; Automotive engineering; Computer science; Charging station; Transport engineering; Environmental science; Engineering; Power (physics); Aerospace engineering; Artificial intelligence","score_opus":0.0056411082464737595,"score_gpt":0.2131069283208602,"score_spread":0.20746582007438644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766155925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537426,0.00023571143,0.0009945822,0.00012964655,0.0000049859586,0.000014964916,0.00007413793,0.000008084677,0.0031636497],"genre_scores_gemma":[0.999419,0.00009177192,0.00020903665,0.000020935055,0.000005333251,0.00000957921,0.000041578383,0.000001878747,0.00020087372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983706,0.0006389092,0.00015154338,0.00012707965,0.0006113772,0.000100592246],"domain_scores_gemma":[0.9746259,0.014881265,0.007144373,0.00080007035,0.0019222968,0.00062610593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014454412,0.00017345796,0.00016626439,0.0005326891,0.00023210628,0.00069947215,0.00043507692,0.00048561548,0.0031072148],"category_scores_gemma":[0.019611849,0.00013815696,0.0005260156,0.0004927017,0.0004248919,0.0012140799,0.0008614287,0.0005059118,0.0002960398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024168538,0.0003820595,0.96199006,0.00021498647,0.00012003665,0.00041467854,0.0026678045,0.0040077274,0.0016823937,0.00059628295,0.00027541464,0.027406843],"study_design_scores_gemma":[0.00000908793,0.0006745068,0.98743224,0.000056543395,0.00007401803,0.0008727493,0.004654778,0.0026167366,0.0010474559,0.00062992395,0.0019005055,0.00003141096],"about_ca_topic_score_codex":0.0016241211,"about_ca_topic_score_gemma":0.001593554,"teacher_disagreement_score":0.0031072148,"about_ca_system_score_codex":0.000409162,"about_ca_system_score_gemma":0.00015749123,"threshold_uncertainty_score":0.010394692},"labels":[],"label_agreement":null},{"id":"W2766200295","doi":"10.1016/b978-0-12-813734-5.00041-x","title":"Expert Opinions on Natural Gas Vehicles Research Needs for Energy Policy Development","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Promotion (chess); Business; Incentive; Transport engineering; Reliability (semiconductor); Environmental economics; Risk analysis (engineering); Engineering; Economics","score_opus":0.029730928582657537,"score_gpt":0.29283607795075783,"score_spread":0.2631051493681003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766200295","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022497035,0.09273594,0.0040772543,0.44892687,0.051747374,0.00007963206,0.0015424371,0.00013141734,0.39850935],"genre_scores_gemma":[0.038784407,0.21882458,0.011309942,0.21763135,0.034931984,0.00018909825,0.0028326958,0.00035267445,0.47514328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99646556,0.0006927158,0.00025295166,0.00029392727,0.0019528638,0.00034195057],"domain_scores_gemma":[0.98169804,0.0065706093,0.0006172004,0.00053462735,0.009701442,0.0008780208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008122819,0.00077257614,0.00059839035,0.0024855873,0.0011788354,0.004094748,0.0014471048,0.00588754,0.048631594],"category_scores_gemma":[0.019009694,0.00029712814,0.00061820436,0.0024257621,0.0013249082,0.0052291215,0.0013796457,0.0044170027,0.012043874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002312886,0.000018648298,0.00018781167,0.0008015097,0.0000111494555,0.0001240661,0.0002853443,0.00034037468,0.0004957961,0.022334635,0.8833201,0.09205747],"study_design_scores_gemma":[0.0000041410863,0.0000060553207,0.00026310876,0.0015562901,0.000011374729,0.00006352948,0.0005739966,0.00012692895,0.00028268588,0.009454499,0.98764384,0.000013546812],"about_ca_topic_score_codex":0.0070497454,"about_ca_topic_score_gemma":0.013041029,"teacher_disagreement_score":0.048631594,"about_ca_system_score_codex":0.002835923,"about_ca_system_score_gemma":0.005859111,"threshold_uncertainty_score":0.16268885},"labels":[],"label_agreement":null},{"id":"W2766914404","doi":"10.3390/en10101650","title":"A Survey on PEV Charging Infrastructure: Impact Assessment and Planning","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Environmental economics; Economics","score_opus":0.013105390997897913,"score_gpt":0.2843239052473683,"score_spread":0.27121851424947035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766914404","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05501032,0.55073124,0.24219511,0.0036579561,0.00076537865,0.00039797171,0.0044382624,0.0012974709,0.14150633],"genre_scores_gemma":[0.2346457,0.701942,0.049367957,0.0003451942,0.00030901958,0.00017321926,0.0036437667,0.00019164228,0.009381464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992817,0.0001633506,0.00006991321,0.00008945414,0.00032684288,0.00006874527],"domain_scores_gemma":[0.9981192,0.0011995465,0.00012406803,0.00010239415,0.00041275748,0.00004201266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047144,0.0012689432,0.0007573813,0.0037866554,0.000366574,0.0017168762,0.0013592817,0.00097571575,0.005176461],"category_scores_gemma":[0.0023209741,0.00058710435,0.0010214205,0.007281649,0.00031076098,0.0028181148,0.0007048163,0.00059811695,0.0012932954],"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":[0.00006257136,0.0001072332,0.0060070166,0.006054116,0.00008117949,0.00024907535,0.00014599062,0.10089537,0.0013648008,0.03162755,0.019141221,0.83426386],"study_design_scores_gemma":[0.000017478636,0.0004578058,0.0125687225,0.007550166,0.0003767363,0.0018593852,0.0020587093,0.18548894,0.006850444,0.06620072,0.7163721,0.00019880688],"about_ca_topic_score_codex":0.0038283805,"about_ca_topic_score_gemma":0.0035478484,"teacher_disagreement_score":0.005176461,"about_ca_system_score_codex":0.0010236757,"about_ca_system_score_gemma":0.0011498218,"threshold_uncertainty_score":0.017316937},"labels":[],"label_agreement":null},{"id":"W2766916440","doi":"10.1016/b978-0-12-813734-5.00052-4","title":"Comparative Life Cycle Environmental Impact Assessment of Natural Gas and Conventional Vehicles","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Life-cycle assessment; Heavy duty; Environmental impact assessment; Gasoline; Diesel fuel; Natural gas; Environmental science; Engineering; Waste management; Production (economics); Environmental engineering; Automotive engineering; Ecology","score_opus":0.008601921768116982,"score_gpt":0.24699468240746858,"score_spread":0.2383927606393516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766916440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6701681,0.020570055,0.04366621,0.00048837473,0.00018004749,0.00020488977,0.0051787607,0.0002812718,0.25926223],"genre_scores_gemma":[0.95179605,0.005933735,0.0078018717,0.00004969101,0.000028076278,0.00006159502,0.0025992217,0.00007553404,0.031654254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.000057405687,0.000008229869,0.000028829874,0.00018609111,0.000029891968],"domain_scores_gemma":[0.99967766,0.00013263697,0.000019203198,0.000019622552,0.00014115967,0.000009644131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000505079,0.0006177285,0.00030822138,0.0016778144,0.00023795744,0.00084489636,0.0007908778,0.00043673514,0.005399932],"category_scores_gemma":[0.00064971525,0.00017905819,0.00066765037,0.0016728864,0.00022467456,0.0010122629,0.00038166015,0.0002393662,0.0005623582],"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":[0.00088835414,0.00032327714,0.017248133,0.0011818233,0.00033047082,0.00040373398,0.00022397932,0.5026854,0.019641163,0.027002066,0.01262806,0.41744348],"study_design_scores_gemma":[0.000094548675,0.0028481865,0.13480145,0.0005957815,0.00058759085,0.00086233846,0.0023589362,0.5227543,0.054932818,0.08724176,0.19270195,0.0002203492],"about_ca_topic_score_codex":0.01610236,"about_ca_topic_score_gemma":0.03564132,"teacher_disagreement_score":0.01610236,"about_ca_system_score_codex":0.002169153,"about_ca_system_score_gemma":0.000777997,"threshold_uncertainty_score":0.03201729},"labels":[],"label_agreement":null},{"id":"W2767850647","doi":"10.1109/tsg.2017.2771508","title":"Design of Optimal Incentives for Smart Charging Considering Utility-Customer Interactions and Distribution Systems Impact","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"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 Waterloo","funders":"Saudi Arabia Cultural Bureau in London","keywords":"Incentive; Electrification; Smart grid; Deferral; Environmental economics; Electricity; Electric vehicle; Demand response; Market penetration; Investment (military); Electricity market; Business; Computer science; Engineering; Microeconomics; Economics; Marketing; Electrical engineering; Finance","score_opus":0.021258708720703543,"score_gpt":0.25934048035088403,"score_spread":0.2380817716301805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767850647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05995676,0.00019858564,0.9252053,0.00050730334,0.000052475432,0.0002853373,0.0000878406,0.00016630662,0.013540131],"genre_scores_gemma":[0.9541145,0.00015026954,0.042066373,0.00005264589,0.000017563438,0.00018764641,0.000033038716,0.000029655565,0.0033482406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988595,0.0005151366,0.000035193912,0.00018477066,0.00016619966,0.00023912992],"domain_scores_gemma":[0.9981927,0.0010974765,0.00020404103,0.000054303713,0.00025574473,0.00019570929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020144486,0.0009106949,0.0016398005,0.0005497946,0.00060088333,0.0017073464,0.0016327548,0.0018361554,0.0055691563],"category_scores_gemma":[0.0049152565,0.00111285,0.0005555694,0.00054606487,0.00078386144,0.0015023341,0.0015424782,0.0012263007,0.0003898511],"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":[0.00010507529,0.00007465877,0.00048105576,0.000060799288,0.000021493586,0.000098583885,0.00004863525,0.9632042,0.0011334931,0.025032677,0.0006026238,0.009136744],"study_design_scores_gemma":[0.00001414794,0.000023864715,0.00007322457,0.0000043089403,0.0000055014198,0.000008736767,0.000015919159,0.99593025,0.00014666976,0.0034793331,0.00029384476,0.0000040793307],"about_ca_topic_score_codex":0.003988014,"about_ca_topic_score_gemma":0.004320085,"teacher_disagreement_score":0.0055691563,"about_ca_system_score_codex":0.0021904255,"about_ca_system_score_gemma":0.0034994557,"threshold_uncertainty_score":0.018630683},"labels":[],"label_agreement":null},{"id":"W2769750997","doi":"10.1109/mcom.2017.1700133","title":"Big Data Analytics for Electric Vehicle Integration in Green Smart Cities","year":2017,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":126,"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 Ottawa","funders":"","keywords":"Big data; Smart grid; Computer science; Electric vehicle; Grid; Smart city; Analytics; Data integration; Data analysis; Telecommunications; Data science; Internet of Things; Computer security; Power (physics); Electrical engineering; Database; Engineering; Data mining","score_opus":0.07087282438103497,"score_gpt":0.2883980624887305,"score_spread":0.21752523810769553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769750997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115418576,0.02010334,0.7331335,0.063155316,0.0013111805,0.0007836894,0.0063528116,0.0072475728,0.052494045],"genre_scores_gemma":[0.7261818,0.010230262,0.25101885,0.002240265,0.0006387051,0.00032084456,0.0060149697,0.00030927378,0.0030451044],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789965,0.0007390142,0.00020703851,0.00024079085,0.00074914156,0.00016446211],"domain_scores_gemma":[0.99495655,0.0019955342,0.00033151775,0.00086353783,0.0014989368,0.00035394632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004059139,0.0008075936,0.00080034055,0.0030282582,0.0010067088,0.005556745,0.0012423357,0.0011682014,0.0014048705],"category_scores_gemma":[0.008739818,0.00050881325,0.00075339735,0.0058498494,0.0012233846,0.008844771,0.0034520586,0.0023162763,0.00074881007],"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":[0.00045044514,0.00043602215,0.035902824,0.0009598907,0.00030479484,0.0008312979,0.0017115534,0.13252145,0.0056235427,0.2904723,0.083957136,0.44682878],"study_design_scores_gemma":[0.000034092092,0.000067156696,0.0049267835,0.00040035465,0.00005479184,0.00014965012,0.0027985587,0.6155128,0.005323875,0.28524935,0.08541642,0.000066236826],"about_ca_topic_score_codex":0.005776427,"about_ca_topic_score_gemma":0.006111292,"teacher_disagreement_score":0.005776427,"about_ca_system_score_codex":0.0018300801,"about_ca_system_score_gemma":0.0023653058,"threshold_uncertainty_score":0.02146703},"labels":[],"label_agreement":null},{"id":"W2769874491","doi":"10.1088/1748-9326/aa9c6d","title":"The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review","year":2017,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":254,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Danmarks Frie Forskningsfond; Research Councils UK","keywords":"Environmental economics; Energy transition; Greenhouse gas; Renewable energy; Externality; Vehicle-to-grid; Sustainability; Electricity; Business; Environmental resource management; Economics; Electric vehicle; Engineering; Power (physics); Ecology","score_opus":0.01395438115004902,"score_gpt":0.28598223182264104,"score_spread":0.272027850672592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769874491","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010703354,0.995469,0.0003121421,0.0018823412,0.00031408813,0.00010409138,0.00022388244,0.0000056422377,0.0006185223],"genre_scores_gemma":[0.020991372,0.9753363,0.00097523804,0.0018156888,0.00022747031,0.00030164942,0.00017353965,0.000009061058,0.00016974608],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.97900546,0.008307494,0.0070783063,0.0014807527,0.0035532913,0.00057479006],"domain_scores_gemma":[0.84216213,0.13127856,0.013130327,0.0021558634,0.010468973,0.0008040999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020059617,0.0010558853,0.0033301895,0.014252187,0.00102008,0.0043732626,0.0016633424,0.00257872,0.0035705958],"category_scores_gemma":[0.10252164,0.0010591586,0.0042718817,0.014694151,0.0025330358,0.0055809785,0.0022183307,0.0018656311,0.0003848673],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012698618,0.000021953228,0.0018016079,0.84829617,0.0031713475,0.00025499667,0.0019619907,0.0002032784,0.0002541489,0.0036635012,0.0070564304,0.13318767],"study_design_scores_gemma":[0.000044880733,0.00008096781,0.003278876,0.90506697,0.009622261,0.00041101556,0.0021976759,0.00006971998,0.00020343467,0.001788684,0.07719873,0.000036811954],"about_ca_topic_score_codex":0.012210651,"about_ca_topic_score_gemma":0.037652247,"teacher_disagreement_score":0.020059617,"about_ca_system_score_codex":0.0049978197,"about_ca_system_score_gemma":0.028096966,"threshold_uncertainty_score":0.10608667},"labels":[],"label_agreement":null},{"id":"W2772774669","doi":"10.55016/ojs/sppp.v4i1.42363","title":"Environmental Benefits of Using Wind Generation to Power Plug-In Hybrid Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Plug-in; Wind power; Hybrid power; Automotive engineering; Environmental science; Electricity generation; Electric power; Power (physics); Engineering; Electrical engineering; Computer science; Physics","score_opus":0.027144778021946845,"score_gpt":0.22969724832012334,"score_spread":0.2025524702981765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772774669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8145297,0.001795764,0.006881205,0.0019472347,0.0001154933,0.00005472687,0.00055114273,0.00008877568,0.17403595],"genre_scores_gemma":[0.9951474,0.0005666162,0.00069575344,0.000052174986,0.000012264374,0.0000054308143,0.000077939454,0.0000068370714,0.003435495],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997707,0.00007422871,0.000004326909,0.000013580478,0.00009113863,0.000046047437],"domain_scores_gemma":[0.999708,0.000098731296,0.000041911688,0.000016084672,0.00011850241,0.000016743223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022799284,0.0002773524,0.00009378032,0.00032522893,0.0004643157,0.0007075658,0.00021001803,0.00034845292,0.0044947467],"category_scores_gemma":[0.00049274357,0.00008356351,0.00021412363,0.0004950721,0.00031869122,0.00046556242,0.00044909533,0.0002859955,0.00021915998],"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":[0.0022564286,0.0015311957,0.14752993,0.001632661,0.00057259074,0.002537404,0.00043977794,0.21372986,0.09425153,0.051193845,0.011228705,0.47309616],"study_design_scores_gemma":[0.00034473557,0.0035093161,0.54684293,0.00067186146,0.0009242558,0.0010415574,0.008317331,0.08952665,0.12070389,0.0574726,0.17046621,0.00017869445],"about_ca_topic_score_codex":0.012776414,"about_ca_topic_score_gemma":0.07397009,"teacher_disagreement_score":0.012776414,"about_ca_system_score_codex":0.00094467535,"about_ca_system_score_gemma":0.00065434264,"threshold_uncertainty_score":0.025404096},"labels":[],"label_agreement":null},{"id":"W2773522188","doi":"10.1109/tii.2017.2781226","title":"A Stochastic Game Approach for PEV Charging Station Operation in Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov decision process; Smart grid; Charging station; Computer science; Electric vehicle; Grid; Markov process; Stochastic process; Reliability (semiconductor); Simulation; Automotive engineering; Real-time computing; Reliability engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.034428706059537725,"score_gpt":0.244739083482104,"score_spread":0.21031037742256625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773522188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021942765,0.00031912787,0.9666426,0.0005877914,0.000118687414,0.00015731298,0.00017740169,0.00011724807,0.009936989],"genre_scores_gemma":[0.9356584,0.00065021793,0.05107422,0.00022292469,0.00010363629,0.00034186398,0.00015118707,0.00005717214,0.011740362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980798,0.0009576215,0.00006337685,0.00028008685,0.00030914656,0.00030993592],"domain_scores_gemma":[0.9980007,0.0013351126,0.00020851914,0.000050006856,0.00024287947,0.0001627049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002231429,0.0016694957,0.0017963963,0.00078190875,0.0008057265,0.0019060975,0.0025478012,0.0019326968,0.0046271128],"category_scores_gemma":[0.004158544,0.0009245005,0.0013185624,0.0008939042,0.0016299154,0.0021418647,0.0014644586,0.0021920905,0.00044936404],"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":[0.00004403408,0.000035882138,0.00030984165,0.000038419297,0.000032957363,0.00016878555,0.0000540683,0.9323226,0.00041102248,0.06311265,0.0007370014,0.0027328127],"study_design_scores_gemma":[0.000008894698,0.000014069892,0.000046038116,0.0000029284809,0.000006019486,0.000013903454,0.000015542257,0.9907781,0.000034222838,0.0088149775,0.000258967,0.000006376389],"about_ca_topic_score_codex":0.01652672,"about_ca_topic_score_gemma":0.0135066165,"teacher_disagreement_score":0.01652672,"about_ca_system_score_codex":0.003024552,"about_ca_system_score_gemma":0.0024657524,"threshold_uncertainty_score":0.032861054},"labels":[],"label_agreement":null},{"id":"W2773844686","doi":"10.1109/atnac.2017.8215427","title":"Charging infrastructure placement for electric vehicles: An optimization prospective","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Budget constraint; Automotive engineering; Electric vehicle; Constraint (computer-aided design); Charging station; Service (business); Transport engineering; Engineering; Business; Power (physics)","score_opus":0.005951535302327576,"score_gpt":0.2231601809482205,"score_spread":0.2172086456458929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773844686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028136125,0.0022431256,0.9508429,0.000833912,0.00013431277,0.00017923395,0.00017035003,0.00021847566,0.01724156],"genre_scores_gemma":[0.72030854,0.0046787984,0.2572999,0.00024941063,0.00017644906,0.0003918746,0.00040170978,0.0002213203,0.016272072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994838,0.00020356823,0.000017851287,0.00007258809,0.000121517776,0.00010054367],"domain_scores_gemma":[0.9996674,0.00018847869,0.000040091178,0.000015210569,0.000058457063,0.000030366427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070691976,0.0013055961,0.0013438873,0.0008193728,0.00070066674,0.0017684536,0.00097295764,0.0013401883,0.0060858545],"category_scores_gemma":[0.0014310626,0.0007766123,0.00092101283,0.001815491,0.0005855062,0.0012626505,0.0009944935,0.0010884332,0.0006062305],"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":[0.00004604378,0.00005138819,0.0003195508,0.0001157482,0.00002056697,0.00007884787,0.000023655197,0.9678314,0.0008068472,0.007989308,0.0019258463,0.020790813],"study_design_scores_gemma":[0.000008601635,0.00004031911,0.00016278366,0.000013667038,0.00001153393,0.00004507635,0.00003339831,0.9946195,0.00027838288,0.0034578056,0.0013226541,0.000006261781],"about_ca_topic_score_codex":0.0073364377,"about_ca_topic_score_gemma":0.0063779023,"teacher_disagreement_score":0.0073364377,"about_ca_system_score_codex":0.0017403639,"about_ca_system_score_gemma":0.0017490716,"threshold_uncertainty_score":0.020359159},"labels":[],"label_agreement":null},{"id":"W2774745340","doi":"10.1155/2017/1705821","title":"A Continuous Deviation-Flow Location Problem for an Alternative-Fuel Refueling Station on a Tree-Like Transportation Network","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow network; Tree network; Mathematical optimization; Set (abstract data type); Computer science; Tree (set theory); Path (computing); Flow (mathematics); Simple (philosophy); Operations research; Mathematics; Computer network","score_opus":0.009065773784120707,"score_gpt":0.24540072191492956,"score_spread":0.23633494813080885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774745340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2207647,0.00062010996,0.7655128,0.0012202186,0.00011704465,0.00037366987,0.0011052542,0.00023785357,0.010048267],"genre_scores_gemma":[0.80319023,0.0005062013,0.18772268,0.00011400054,0.000050879567,0.00035855355,0.001014245,0.00008069414,0.006962452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990694,0.00034033414,0.000044743054,0.00023954497,0.00011938606,0.00018659892],"domain_scores_gemma":[0.9975216,0.001805948,0.00022256214,0.00006470131,0.00019810007,0.0001870713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016998783,0.00147176,0.0020301521,0.00095128675,0.0010366836,0.001810337,0.0023115207,0.0032289175,0.006601009],"category_scores_gemma":[0.0042038304,0.00066202605,0.0014247958,0.0019621965,0.0012483282,0.0021574395,0.0014167939,0.0015763644,0.00045138743],"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":[0.00016108979,0.000057628284,0.0007673091,0.000115283765,0.000026811402,0.00025928635,0.000064769374,0.9778496,0.00080622436,0.011787099,0.0009957773,0.007109045],"study_design_scores_gemma":[0.000051848285,0.00008770372,0.00024094028,0.000012332677,0.000016176573,0.00005846028,0.00008447812,0.99147624,0.00040109598,0.006987424,0.00056642276,0.000016817528],"about_ca_topic_score_codex":0.011993008,"about_ca_topic_score_gemma":0.007274287,"teacher_disagreement_score":0.011993008,"about_ca_system_score_codex":0.0021770347,"about_ca_system_score_gemma":0.0018665112,"threshold_uncertainty_score":0.023846447},"labels":[],"label_agreement":null},{"id":"W2775800976","doi":"10.14288/1.0361163","title":"Installation of charging infrastructure for electric vehicles in multi-unit residential buildings in British Columbia","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Architectural engineering; Engineering; Environmental science","score_opus":0.012145577631086013,"score_gpt":0.24558281818495062,"score_spread":0.2334372405538646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775800976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866166,0.0006585141,0.0004086429,0.0005864184,0.000010926927,0.00007730987,0.00036648754,0.000022535756,0.011252533],"genre_scores_gemma":[0.9950376,0.00075531844,0.0005010319,0.000064246095,0.0000017707408,0.00002229033,0.00016355654,0.0000059324357,0.0034482297],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904615,0.0001611489,0.000041612606,0.00011781903,0.0002727615,0.00036062836],"domain_scores_gemma":[0.99847347,0.0003627157,0.00021911228,0.00004646982,0.00065380795,0.0002443978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051192986,0.00022005555,0.00028853244,0.0011357395,0.0037405859,0.0026604154,0.001274248,0.0005154865,0.0030188893],"category_scores_gemma":[0.00192606,0.0003939166,0.0002625956,0.0027509348,0.0012943612,0.0007510644,0.0013737018,0.00079089706,0.00021773575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029523316,0.00042376146,0.7172477,0.0021219377,0.00014627009,0.009924757,0.028400747,0.012554877,0.0074926214,0.01041842,0.010562704,0.20041096],"study_design_scores_gemma":[0.00001453735,0.00012467115,0.84890825,0.0005589838,0.00007637379,0.0006195275,0.11756769,0.007776614,0.001571672,0.00077427714,0.02190617,0.0001012972],"about_ca_topic_score_codex":0.9586859,"about_ca_topic_score_gemma":0.9887179,"teacher_disagreement_score":0.041314125,"about_ca_system_score_codex":0.036899082,"about_ca_system_score_gemma":0.02725185,"threshold_uncertainty_score":0.26772285},"labels":[],"label_agreement":null},{"id":"W2775898841","doi":"10.1561/3100000016","title":"Sustainable Transportation with Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"Foundations and Trends® in Electric Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Automotive engineering; Electric vehicle; Electricity; Grid; Charging station; Computer science; Electric power; Software deployment; Electrical engineering; Power (physics); Engineering","score_opus":0.005015973422324159,"score_gpt":0.2023936682956128,"score_spread":0.19737769487328866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775898841","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005727702,0.041068528,0.17357141,0.02905507,0.006748061,0.00019254847,0.0016043504,0.0016105458,0.7404218],"genre_scores_gemma":[0.25637767,0.114295006,0.09121613,0.0057518347,0.004452476,0.0005692248,0.004365083,0.00070663175,0.522266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994974,0.0001284837,0.000020997844,0.00008890526,0.00021236784,0.00005193816],"domain_scores_gemma":[0.9997384,0.000054788132,0.000025976271,0.000060369515,0.00008327505,0.00003715716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043288973,0.00095664157,0.00043596042,0.0008360732,0.0007776153,0.0028205803,0.0009049269,0.0020182491,0.038430914],"category_scores_gemma":[0.0011698139,0.00025129697,0.0007049221,0.0014782541,0.0010920605,0.0036327764,0.0027803103,0.0017502335,0.012853398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016338023,0.000025211413,0.00044599886,0.0003101703,0.000030416859,0.0001325198,0.00012034828,0.010203721,0.000805315,0.7402829,0.09819416,0.1494329],"study_design_scores_gemma":[0.0000041913545,0.000020987292,0.00017368946,0.00017433983,0.0000058730097,0.00010460415,0.00008619039,0.003847363,0.00020265071,0.17195947,0.8234094,0.000011352524],"about_ca_topic_score_codex":0.0026781238,"about_ca_topic_score_gemma":0.0028338486,"teacher_disagreement_score":0.038430914,"about_ca_system_score_codex":0.0019192266,"about_ca_system_score_gemma":0.0017742577,"threshold_uncertainty_score":0.12856418},"labels":[],"label_agreement":null},{"id":"W2776473351","doi":"10.23977/jeeem.2017.12001","title":"Multi-objective Optimization Charging Strategy for Plug-in Electric Vehicles Based on Dynamic Time-of-use Price","year":2017,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Plug-in; Computer science; MATLAB; Sorting; Genetic algorithm; Mathematical optimization; Electric vehicle; Scheduling (production processes); Automotive engineering; Power (physics); Engineering; Mathematics; Algorithm","score_opus":0.005164722554763253,"score_gpt":0.20999969325534026,"score_spread":0.20483497070057702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776473351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10771614,0.0007403539,0.8782055,0.00036978815,0.00011923049,0.000180195,0.00007587501,0.00025095043,0.012341986],"genre_scores_gemma":[0.9642026,0.00025639142,0.03150502,0.000065016415,0.000029207402,0.00015660045,0.000065064305,0.000032715445,0.0036874288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997055,0.00007299346,0.000014138354,0.000050397462,0.00009201157,0.000064904576],"domain_scores_gemma":[0.99979216,0.0000736466,0.00003886259,0.000006856142,0.00006319973,0.000025372845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006000112,0.0010491562,0.0010300655,0.0006225224,0.0004971687,0.0011684907,0.0010898177,0.00071743573,0.0017439165],"category_scores_gemma":[0.00070707,0.00052120414,0.0006969838,0.0006259746,0.00031791802,0.0007259889,0.0006286453,0.000574232,0.0001447486],"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":[0.000033562617,0.000041576444,0.00034509876,0.00004692539,0.000029395113,0.00006570803,0.00002522321,0.9872793,0.0011541102,0.0019791697,0.00045728253,0.008542693],"study_design_scores_gemma":[0.0000056249833,0.000022887887,0.000096871416,0.0000018059308,0.000006555633,0.0000066606403,0.000009608094,0.9992236,0.00013206186,0.0003660215,0.00012562709,0.0000026947632],"about_ca_topic_score_codex":0.0073329727,"about_ca_topic_score_gemma":0.0052747424,"teacher_disagreement_score":0.0073329727,"about_ca_system_score_codex":0.0008820368,"about_ca_system_score_gemma":0.0012077603,"threshold_uncertainty_score":0.014580607},"labels":[],"label_agreement":null},{"id":"W2777661585","doi":"10.1016/j.apenergy.2017.11.074","title":"Resource implications of alternative strategies for achieving zero greenhouse gas emissions from light-duty vehicles by 2060","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Renewable energy; Truck; Alternative fuel vehicle; Fossil fuel; Green vehicle; Biofuel; Miles per gallon gasoline equivalent; Environmental science; Electricity; Renewable fuels; Automotive engineering; Sustainability; Diesel fuel; Alternative fuels; Waste management; Engineering; Fuel efficiency","score_opus":0.008830081002446758,"score_gpt":0.22066605918896423,"score_spread":0.21183597818651748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777661585","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41213283,0.009418724,0.027892912,0.031879283,0.0008534732,0.00026750643,0.004351769,0.00017316225,0.51303035],"genre_scores_gemma":[0.98055124,0.0022125274,0.0040463377,0.0006742633,0.000047552203,0.00012548473,0.0003828366,0.000040048548,0.011919617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926573,0.00021533332,0.000021882435,0.000075587806,0.00020120373,0.00022017906],"domain_scores_gemma":[0.9992366,0.00028622174,0.00006215717,0.000048768372,0.00030311642,0.00006307035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009805476,0.0007428922,0.0004034756,0.000980598,0.0008317073,0.0024150799,0.0011343651,0.0018523196,0.017715659],"category_scores_gemma":[0.0026247595,0.00031531393,0.00060088106,0.0010162097,0.0010584863,0.002941414,0.0014180169,0.0011213747,0.0011584786],"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":[0.0023811713,0.00071675784,0.008317749,0.0012659634,0.0002062643,0.0010110808,0.00038073445,0.11198062,0.020430326,0.6288464,0.017022789,0.20744014],"study_design_scores_gemma":[0.00043075488,0.0013944372,0.036227282,0.0012267075,0.00040721023,0.0005453793,0.0060465913,0.07350917,0.030819556,0.5946068,0.25449884,0.00028735676],"about_ca_topic_score_codex":0.024854895,"about_ca_topic_score_gemma":0.0395038,"teacher_disagreement_score":0.024854895,"about_ca_system_score_codex":0.004394076,"about_ca_system_score_gemma":0.0052038305,"threshold_uncertainty_score":0.05926478},"labels":[],"label_agreement":null},{"id":"W2777688727","doi":"","title":"New formulations for the electric vehicle routing problem with nonlinear charging functions","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"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 Laval","funders":"","keywords":"Nonlinear system; Electric vehicle; Vehicle routing problem; Computer science; Routing (electronic design automation); Mathematical optimization; Environmental science; Automotive engineering; Electrical engineering; Mathematics; Engineering; Physics; Computer network; Thermodynamics","score_opus":0.009952521587086502,"score_gpt":0.2095099832182106,"score_spread":0.1995574616311241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777688727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004645206,0.00027434042,0.9899039,0.00029523176,0.00008440956,0.00007348487,0.00020834009,0.00010813191,0.004406893],"genre_scores_gemma":[0.18993281,0.0012787455,0.7935314,0.0003312882,0.00023833459,0.0005351695,0.0008999059,0.00027482182,0.0129774865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991385,0.0003087799,0.000056853984,0.00017877443,0.00021704423,0.000100145255],"domain_scores_gemma":[0.9980932,0.001259147,0.00020836273,0.00012035029,0.00025474586,0.000064179105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018307301,0.0015135767,0.00094924605,0.0006333949,0.00046702966,0.001971281,0.0019289071,0.0018555704,0.00713102],"category_scores_gemma":[0.0044622095,0.0006721344,0.0012977831,0.0011392322,0.00074549596,0.0028445865,0.0013428062,0.0029024098,0.00091555883],"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":[0.000040355215,0.00007171176,0.00020098369,0.00012710648,0.000012139017,0.00005663963,0.000071108036,0.9083321,0.00091718946,0.060910795,0.003079003,0.026180845],"study_design_scores_gemma":[0.000009320199,0.000013607512,0.000027936438,0.000008725393,0.0000036757226,0.00001727608,0.000014017226,0.98644835,0.00012564979,0.011552055,0.0017748543,0.0000043991968],"about_ca_topic_score_codex":0.004498042,"about_ca_topic_score_gemma":0.0053120814,"teacher_disagreement_score":0.00713102,"about_ca_system_score_codex":0.0018967558,"about_ca_system_score_gemma":0.0018777791,"threshold_uncertainty_score":0.023855627},"labels":[],"label_agreement":null},{"id":"W2780787656","doi":"10.1049/iet-est.2017.0073","title":"Optimal charging and discharging for EVs in a V2G participation under critical peak conditions","year":2017,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Regina","funders":"","keywords":"Vehicle-to-grid; Battery (electricity); Electric vehicle; Automotive engineering; Grid; Engineering; Tariff; Reliability engineering; Energy storage; Simulation; Computer science; Power (physics); Mathematics","score_opus":0.01342969151597519,"score_gpt":0.28395833910061963,"score_spread":0.27052864758464445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780787656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3071223,0.0009649757,0.67675644,0.0005410783,0.00007803128,0.00019598173,0.00018490668,0.00021530746,0.013941005],"genre_scores_gemma":[0.9898372,0.00017173194,0.008779341,0.0000236232,0.0000056287954,0.000025042758,0.000030410007,0.000016589373,0.0011105224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972874,0.000071121205,0.000011563871,0.000048581827,0.000048650767,0.00009137613],"domain_scores_gemma":[0.99965036,0.0002044466,0.00005698883,0.000011166574,0.000052324922,0.000024741921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058254116,0.00072179834,0.0008149085,0.0003558302,0.0004731547,0.0012478033,0.00064784667,0.000802862,0.0015942788],"category_scores_gemma":[0.0013080487,0.00046057734,0.0005777037,0.0004593234,0.0004354147,0.00083384465,0.0006084064,0.0006516426,0.00014429784],"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":[0.00013393303,0.000034083114,0.0005702931,0.0000761788,0.00001701553,0.000080662525,0.00003264271,0.9822123,0.0022575834,0.0026138835,0.00029204212,0.011679291],"study_design_scores_gemma":[0.00001154608,0.000078190984,0.0004242914,0.0000076309825,0.000013385029,0.000027714752,0.0000650433,0.9948614,0.0014388225,0.0026771373,0.00038790362,0.000007011023],"about_ca_topic_score_codex":0.005521263,"about_ca_topic_score_gemma":0.0045941626,"teacher_disagreement_score":0.005521263,"about_ca_system_score_codex":0.000829794,"about_ca_system_score_gemma":0.0010618491,"threshold_uncertainty_score":0.0109782815},"labels":[],"label_agreement":null},{"id":"W2783493049","doi":"10.1016/j.enpol.2018.01.004","title":"Electrification of road freight transport: Policy implications in British Columbia","year":2018,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Truck; Electrification; Greenhouse gas; Hydroelectricity; Renewable energy; Electricity; Market penetration; Electricity generation; Road transport; Environmental science; Natural resource economics; Transport engineering; Engineering; Business; Economics; Automotive engineering","score_opus":0.0037487304764000935,"score_gpt":0.20096952368854532,"score_spread":0.19722079321214522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783493049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81411046,0.0024931657,0.0005610326,0.05729664,0.0001587541,0.00008085316,0.0019880908,0.00007042608,0.12324059],"genre_scores_gemma":[0.92901903,0.0022235967,0.00037026856,0.0031493728,0.000023259052,0.000043613887,0.00038176175,0.000027822207,0.06476138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811757,0.00025291427,0.000045184872,0.00010179772,0.0002385898,0.0012439518],"domain_scores_gemma":[0.99729913,0.00068764,0.00012545894,0.00006975361,0.0012224076,0.0005957044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009074001,0.00037782732,0.00043282125,0.0014899537,0.00555008,0.005848879,0.0015818555,0.002832189,0.015400904],"category_scores_gemma":[0.005860494,0.00036833956,0.0004345292,0.0033149645,0.0018743986,0.0019647924,0.0021431248,0.0027943393,0.0005495454],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013601597,0.0010543942,0.23107451,0.0012453675,0.0004152506,0.006428431,0.011148239,0.054637726,0.0049953302,0.34211183,0.14687844,0.1986503],"study_design_scores_gemma":[0.000340652,0.00022811635,0.55597836,0.0017969164,0.00045675924,0.00051065895,0.09613146,0.040725574,0.0032862525,0.034986343,0.26516274,0.00039620136],"about_ca_topic_score_codex":0.99346864,"about_ca_topic_score_gemma":0.99753714,"teacher_disagreement_score":0.087888405,"about_ca_system_score_codex":0.087888405,"about_ca_system_score_gemma":0.10914171,"threshold_uncertainty_score":0.637678},"labels":[],"label_agreement":null},{"id":"W2783797510","doi":"10.1109/isgteurope.2017.8260291","title":"Coordinated charging of electric vehicles connected to a net-metered PV parking lot","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Integer programming; Automotive engineering; Photovoltaic system; Grid; Scheduling (production processes); Parking lot; Environmental science; Electric vehicle; Charging station; Computer science; Electrical engineering; Engineering; Power (physics); Civil engineering; Mathematics; Operations management; Physics","score_opus":0.009559063690472012,"score_gpt":0.2166931383336331,"score_spread":0.20713407464316108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783797510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331337,0.00005523753,0.05848141,0.00007763783,0.00001758232,0.00010699571,0.00011218649,0.00026910933,0.007746018],"genre_scores_gemma":[0.9970071,0.0000083685045,0.0025171444,0.0000029887065,8.118218e-7,0.0000066680477,0.000020109126,0.0000036219265,0.0004331604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973494,0.000056213685,0.000007952362,0.00005535595,0.000055256212,0.00009017865],"domain_scores_gemma":[0.999716,0.000068707486,0.000048058737,0.000033432676,0.000064931824,0.00006891125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002794181,0.00039208983,0.00044923773,0.00033627584,0.0005464692,0.0008218302,0.0007723255,0.00027402586,0.0015578128],"category_scores_gemma":[0.00068395265,0.00025344183,0.0002488035,0.00045123298,0.00028841663,0.00048603571,0.0006513405,0.00028051462,0.00014961796],"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":[0.0005667621,0.00014232134,0.015366719,0.00006016824,0.00006809832,0.00034973305,0.00010191211,0.91523486,0.012174894,0.0017277818,0.00058714754,0.053619564],"study_design_scores_gemma":[0.000061472325,0.00035656715,0.00880616,0.000005139975,0.00003978801,0.00009070537,0.00037892465,0.98107713,0.006810966,0.0012550815,0.0011016866,0.000016424188],"about_ca_topic_score_codex":0.031348538,"about_ca_topic_score_gemma":0.064381376,"teacher_disagreement_score":0.031348538,"about_ca_system_score_codex":0.0014910032,"about_ca_system_score_gemma":0.0017892239,"threshold_uncertainty_score":0.062332094},"labels":[],"label_agreement":null},{"id":"W2783802548","doi":"10.1109/ipact.2017.8245079","title":"A feasibility study of low voltage DC distribution system for LED lighting in building","year":2017,"lang":"en","type":"article","venue":"2017 Innovations in Power and Advanced Computing Technologies (i-PACT)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Photovoltaic system; Electrical engineering; Voltage; Low voltage; Photodiode; Computer science; Automotive engineering; Engineering; Physics; Optoelectronics","score_opus":0.010979506443671787,"score_gpt":0.2744815637873872,"score_spread":0.2635020573437154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783802548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8304359,0.000771902,0.10569839,0.0005250938,0.00009439964,0.00044119926,0.0004701287,0.000550846,0.061012138],"genre_scores_gemma":[0.9924016,0.00013786435,0.003845724,0.00001112901,0.0000050167114,0.000027540862,0.000058705165,0.000010857127,0.003501503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995678,0.00013640414,0.000008165654,0.00004624773,0.00017642684,0.00006487955],"domain_scores_gemma":[0.9996315,0.00013760671,0.000020514926,0.000024385461,0.0001619215,0.00002405984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045897657,0.0004190978,0.00025890238,0.00039552728,0.00061469775,0.0008219473,0.0006167761,0.0004783321,0.0064537628],"category_scores_gemma":[0.0005584142,0.00014502076,0.00044431177,0.00034222248,0.0002776675,0.0006423071,0.00024278753,0.0003672757,0.0005497885],"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":[0.003656664,0.00094714673,0.028413787,0.0024423194,0.00017653321,0.0027036823,0.0007632117,0.44546527,0.2905986,0.027060246,0.0077468473,0.1900256],"study_design_scores_gemma":[0.00018609881,0.004751665,0.02056301,0.000111465706,0.00029644003,0.0008171576,0.0014809907,0.7539804,0.18652336,0.0046243505,0.02658168,0.000083438186],"about_ca_topic_score_codex":0.0049418015,"about_ca_topic_score_gemma":0.0053822803,"teacher_disagreement_score":0.0064537628,"about_ca_system_score_codex":0.0013504443,"about_ca_system_score_gemma":0.0007625958,"threshold_uncertainty_score":0.021589935},"labels":[],"label_agreement":null},{"id":"W2786646369","doi":"10.1109/vtcfall.2017.8288382","title":"Poster: Dynamic Charging Scheduling for EV Parking Lots with Renewable Energy","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Renewable energy; Photovoltaic system; Computer science; Scheduling (production processes); Grid; Automotive engineering; Electric vehicle; Vehicle-to-grid; Dynamic priority scheduling; Parking lot; Engineering; Power (physics); Electrical engineering; Computer network; Operations management","score_opus":0.0059061993112398,"score_gpt":0.20504216381916093,"score_spread":0.19913596450792112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786646369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12515411,0.001313778,0.84914994,0.0010059616,0.0010240391,0.00013271521,0.00021597058,0.0005383333,0.021465126],"genre_scores_gemma":[0.95264477,0.0003089045,0.041202445,0.00006546456,0.00012345926,0.00003190844,0.00012974649,0.000052028456,0.005441219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980956,0.00005898161,0.000010307938,0.00004084687,0.00003636702,0.000043991888],"domain_scores_gemma":[0.9997198,0.000116954776,0.000026458976,0.000030454765,0.00005860247,0.00004769284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990073,0.00039522897,0.00047516217,0.00020075803,0.0004338341,0.0005999566,0.0006840015,0.0004040999,0.0055033835],"category_scores_gemma":[0.0008709158,0.00015522566,0.00040624265,0.00036252858,0.00021729007,0.0005814052,0.0005644011,0.00051695405,0.00050205545],"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":[0.00036311772,0.00013237257,0.00070324505,0.0001906827,0.00005341933,0.0002274863,0.00006350554,0.8738154,0.0087080505,0.020141557,0.008181568,0.087419584],"study_design_scores_gemma":[0.000016610895,0.000078863675,0.00021134502,0.000005898744,0.000009167924,0.000045051627,0.00003179035,0.98877245,0.0016917456,0.0061725853,0.0029548325,0.00000962944],"about_ca_topic_score_codex":0.0013098607,"about_ca_topic_score_gemma":0.0016223869,"teacher_disagreement_score":0.0055033835,"about_ca_system_score_codex":0.00049150444,"about_ca_system_score_gemma":0.00065502146,"threshold_uncertainty_score":0.018410683},"labels":[],"label_agreement":null},{"id":"W2786660272","doi":"10.1109/pesgm.2017.8273903","title":"Optimal resource allocation and charging prices for benefit maximization in smart PEV-parking lots","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Waterloo","funders":"","keywords":"Software deployment; Installation; Computer science; Profit (economics); Maximization; Electric vehicle; Energy storage; Economics; Microeconomics","score_opus":0.008374318037900317,"score_gpt":0.2119332420663816,"score_spread":0.20355892402848128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786660272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2182538,0.0004167195,0.76362383,0.00092701084,0.00006580048,0.00015378722,0.00033312925,0.0001743738,0.016051518],"genre_scores_gemma":[0.9808102,0.0001342498,0.015543034,0.000038329814,0.000011153569,0.000058627644,0.000051034214,0.000028783586,0.0033245545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951243,0.00021889477,0.000014127902,0.00007497804,0.000057368048,0.00012216347],"domain_scores_gemma":[0.9989687,0.0007391554,0.00011050068,0.00002734004,0.00007894114,0.0000753108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010190813,0.00069426943,0.0011935169,0.00046067592,0.0004264267,0.0015694472,0.0010773486,0.0014147622,0.0033720455],"category_scores_gemma":[0.002958426,0.0010047193,0.0006498394,0.0006930662,0.0010258299,0.0015069197,0.0008382166,0.0009235052,0.00021933789],"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":[0.0000520794,0.000021153244,0.0002259061,0.000027454595,0.000012547017,0.00005780794,0.000022880007,0.98417205,0.00063457066,0.012885178,0.00033832315,0.001550089],"study_design_scores_gemma":[0.000007123881,0.000011275814,0.000082859304,0.000002029816,0.0000041041944,0.0000076102747,0.000016547161,0.99564606,0.00013757219,0.0039701886,0.00011081458,0.0000037709249],"about_ca_topic_score_codex":0.0049515343,"about_ca_topic_score_gemma":0.0052085477,"teacher_disagreement_score":0.0049515343,"about_ca_system_score_codex":0.0018554599,"about_ca_system_score_gemma":0.0014285755,"threshold_uncertainty_score":0.013462365},"labels":[],"label_agreement":null},{"id":"W2786801842","doi":"10.1109/vtcfall.2017.8288323","title":"Vehicle-to-Grid Frequency Regulation Signal Optimization Based on Inhomogeneous Hidden Markov Model","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hidden Markov model; Grid; Decoupling (probability); Markov chain; Transmission (telecommunications); Real-time computing; SIGNAL (programming language); Markov model; Service provider; Mathematical optimization; Reliability engineering; Service (business); Telecommunications; Engineering; Control engineering; Artificial intelligence; Mathematics","score_opus":0.007226587862651898,"score_gpt":0.2018481913800955,"score_spread":0.1946216035174436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786801842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092337,0.0003617747,0.9032086,0.00031527522,0.00004971625,0.00004319777,0.00015613009,0.0003747081,0.0031536033],"genre_scores_gemma":[0.98164004,0.00015112602,0.016005708,0.000053803582,0.000020751597,0.00004794288,0.0001557999,0.000023633886,0.001901209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995813,0.00011147453,0.000020382266,0.00011688204,0.0000743513,0.00009566236],"domain_scores_gemma":[0.9990521,0.000644185,0.00011214275,0.000029114355,0.000118984004,0.000043470587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071641087,0.0006702697,0.0012149191,0.0003420123,0.00038615157,0.00067439163,0.0010425895,0.00069955346,0.0015152928],"category_scores_gemma":[0.0016489751,0.00044900927,0.00069815817,0.00046070447,0.00065827504,0.00065716216,0.00062689226,0.0011270698,0.0002002984],"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":[0.000027139866,0.000008330781,0.00037765544,0.000009031936,0.000010043887,0.000020852045,0.000012934185,0.9943973,0.0002435654,0.0020900646,0.00010678248,0.002696374],"study_design_scores_gemma":[0.0000019775794,0.000003444581,0.000055361044,4.9398903e-7,0.000002210142,0.0000014238781,0.0000012796603,0.99948275,0.00004349588,0.00038591537,0.000020308353,0.0000013110126],"about_ca_topic_score_codex":0.0312979,"about_ca_topic_score_gemma":0.019911222,"teacher_disagreement_score":0.0312979,"about_ca_system_score_codex":0.0011292886,"about_ca_system_score_gemma":0.0012308406,"threshold_uncertainty_score":0.06223142},"labels":[],"label_agreement":null},{"id":"W2786910693","doi":"10.1109/vtcfall.2017.8288378","title":"A Decentralized Load Balancing Approach for Neighbouring Charging Stations via EV Fleets","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Jacobian matrix and determinant; Flexibility (engineering); Power (physics); Computer science; Electric power system; Load balancing (electrical power); Grid; Base load power plant; Process (computing); Mathematics; Physics","score_opus":0.00963542043493458,"score_gpt":0.22950277503925737,"score_spread":0.21986735460432277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786910693","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03431659,0.000114011134,0.9601893,0.00010309403,0.000037066136,0.000039275328,0.00002412961,0.00013763599,0.0050389157],"genre_scores_gemma":[0.96036494,0.000074533455,0.03573642,0.00003180233,0.00003657007,0.000053340365,0.000040337483,0.000022610948,0.0036395863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999736,0.00007285138,0.00001053752,0.000082598046,0.000052650328,0.0000453599],"domain_scores_gemma":[0.9998654,0.00003265446,0.000029145338,0.0000233257,0.00003330382,0.000016178441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040349134,0.000521033,0.0007469463,0.0003042856,0.0005643562,0.0006487098,0.0010754009,0.000498644,0.00210612],"category_scores_gemma":[0.00051215023,0.00026758356,0.0004660646,0.0004174743,0.00037684652,0.0008687012,0.00089401455,0.00048999884,0.00028939254],"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":[0.00010034594,0.00004714679,0.00037190373,0.00005609798,0.000040491497,0.00013350086,0.00007959516,0.93376756,0.008923388,0.014856953,0.0009739985,0.040648986],"study_design_scores_gemma":[0.000010186384,0.000039648236,0.00010429514,0.0000019039265,0.000007184761,0.000024233312,0.000016277143,0.9952094,0.00051482086,0.0034947093,0.0005720287,0.00000531178],"about_ca_topic_score_codex":0.0017322989,"about_ca_topic_score_gemma":0.0028284597,"teacher_disagreement_score":0.00210612,"about_ca_system_score_codex":0.00039373414,"about_ca_system_score_gemma":0.0005395722,"threshold_uncertainty_score":0.0070456862},"labels":[],"label_agreement":null},{"id":"W2787031191","doi":"10.1109/vtcfall.2017.8288324","title":"Whether to Charge or Discharge an Electric Vehicle? An Optimal Approach in Polynomial Time","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematical optimization; Traverse; Electricity; Scheduling (production processes); Computer science; Dynamic programming; Computational complexity theory; Exponential function; Time complexity; Job shop scheduling; Electric vehicle; Electricity pricing; Polynomial; Algorithm; Engineering; Electricity market; Mathematics; Electrical engineering","score_opus":0.01011841214751016,"score_gpt":0.23107904859930464,"score_spread":0.22096063645179448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787031191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041462306,0.00067271834,0.9181065,0.002603252,0.00022233107,0.00033210043,0.00040668226,0.0013903327,0.034803737],"genre_scores_gemma":[0.48385027,0.00038768834,0.5050581,0.0005044715,0.00014571668,0.00019295831,0.00048054554,0.00026000835,0.009120236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924433,0.00015943467,0.00003585938,0.00023447185,0.00011847524,0.00020745654],"domain_scores_gemma":[0.99902475,0.0006405429,0.00008393221,0.00008497204,0.00010406118,0.00006165445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005889539,0.0009377563,0.0011919831,0.0006202612,0.00092688453,0.0016309229,0.0014102409,0.0014204715,0.014457116],"category_scores_gemma":[0.0026036324,0.0005845376,0.0009404133,0.00077434874,0.00065834663,0.0017283272,0.0010128461,0.0014834435,0.0014414486],"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":[0.00038164222,0.00049259077,0.0010988355,0.0002482575,0.000054810364,0.0001562099,0.00014269103,0.6892762,0.003276371,0.045503616,0.02048172,0.23888706],"study_design_scores_gemma":[0.00007252899,0.00003909102,0.00013716123,0.000011418157,0.000018362527,0.00005159956,0.00007072829,0.97272104,0.0006352162,0.02414721,0.0020867432,0.000008981961],"about_ca_topic_score_codex":0.009533326,"about_ca_topic_score_gemma":0.015479867,"teacher_disagreement_score":0.014457116,"about_ca_system_score_codex":0.0017106909,"about_ca_system_score_gemma":0.0033764439,"threshold_uncertainty_score":0.048363864},"labels":[],"label_agreement":null},{"id":"W2787157351","doi":"10.1109/igesc.2017.8283457","title":"Impact of mixed charging requests of PEVs on a charging facility load and a distribution grid","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric vehicle; Automotive engineering; Distribution grid; Battery (electricity); Grid; Trickle charging; Computer science; Transport engineering; Electrical engineering; Voltage; Engineering; Power (physics)","score_opus":0.008883934733771652,"score_gpt":0.24023298171332877,"score_spread":0.2313490469795571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787157351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781895,0.00010982315,0.012261799,0.00024149702,0.000028535864,0.00004890916,0.00031488738,0.00011577521,0.00868926],"genre_scores_gemma":[0.9987539,0.000022642645,0.00047840932,0.000012809039,0.0000037446032,0.000006073467,0.000040923147,0.0000085771735,0.0006729434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985258,0.0007470204,0.000043360964,0.00013514471,0.00023147746,0.00031726298],"domain_scores_gemma":[0.99511516,0.0035744521,0.00043241924,0.00016820688,0.00044702025,0.00026272802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010987034,0.0007654896,0.00056683086,0.0006122199,0.000469375,0.0014999728,0.0009770059,0.0010706873,0.0032366966],"category_scores_gemma":[0.005355993,0.00044358172,0.0004999261,0.0008373844,0.00063248014,0.001946079,0.0009863037,0.00085589086,0.00026748792],"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":[0.00035594488,0.000060946633,0.011980665,0.000023023833,0.00004841734,0.0006333046,0.00003486426,0.98036397,0.0011311279,0.0019864896,0.00036094195,0.0030203392],"study_design_scores_gemma":[0.000021939635,0.0002609739,0.007537548,0.000008228775,0.00004981872,0.00023202869,0.00033227465,0.98881453,0.0011350125,0.0011109769,0.0004733065,0.000023317676],"about_ca_topic_score_codex":0.013614905,"about_ca_topic_score_gemma":0.0126573425,"teacher_disagreement_score":0.013614905,"about_ca_system_score_codex":0.0017259775,"about_ca_system_score_gemma":0.00066000514,"threshold_uncertainty_score":0.027071297},"labels":[],"label_agreement":null},{"id":"W2789344914","doi":"10.1109/tsg.2018.2808247","title":"Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Smart grid; Electricity; Computer science; Electric vehicle; Dynamic pricing; Dynamic programming; Reinforcement learning; Order (exchange); Energy management; Operations research; Energy consumption; Industrial engineering; Energy (signal processing); Artificial intelligence; Engineering; Power (physics); Economics; Electrical engineering","score_opus":0.009779613140307786,"score_gpt":0.21937964588867528,"score_spread":0.2096000327483675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789344914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25332388,0.00093864475,0.7355283,0.0009669571,0.0001118482,0.000048208414,0.00020178559,0.0013139058,0.0075665307],"genre_scores_gemma":[0.9846896,0.00008987923,0.013796973,0.00007790351,0.000014634523,0.000021100885,0.00008122646,0.00001756071,0.0012110263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998791,0.000025984386,0.000007206388,0.000026001342,0.00002494746,0.000036756384],"domain_scores_gemma":[0.9997271,0.00014229622,0.000033243934,0.000021543407,0.00005860412,0.000017186274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038647198,0.00049515703,0.00038245923,0.0002226678,0.00020427344,0.00052172376,0.000640302,0.0005425621,0.0012918974],"category_scores_gemma":[0.0011427973,0.0003099414,0.00026193447,0.00029017965,0.00030066707,0.0007360854,0.0005102769,0.0011216801,0.00016576385],"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":[0.000045749228,0.00007633402,0.000692138,0.000020680623,0.00001889151,0.000022919716,0.000015274201,0.9632168,0.0013691518,0.0015661111,0.00046744384,0.032488372],"study_design_scores_gemma":[0.0000011042584,0.000004257497,0.000035176312,7.052792e-7,9.498156e-7,0.0000010188635,0.000001036798,0.999141,0.00020718596,0.0005633674,0.00004349307,7.2723975e-7],"about_ca_topic_score_codex":0.008642609,"about_ca_topic_score_gemma":0.011124945,"teacher_disagreement_score":0.008642609,"about_ca_system_score_codex":0.00094159535,"about_ca_system_score_gemma":0.00080832315,"threshold_uncertainty_score":0.017184615},"labels":[],"label_agreement":null},{"id":"W2789579584","doi":"10.1016/j.resconrec.2018.01.036","title":"Life cycle environmental impact assessments and comparisons of alternative fuels for clean vehicles","year":2018,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":265,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Life-cycle assessment; Environmental science; Green vehicle; Ecotoxicity; Waste management; Gasoline; Miles per gallon gasoline equivalent; Battery electric vehicle; Environmental engineering; Engineering; Fuel efficiency; Electric vehicle; Automotive engineering; Production (economics); Chemistry","score_opus":0.015887740607889302,"score_gpt":0.2703931534283751,"score_spread":0.25450541282048583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789579584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707192,0.0026223129,0.006180307,0.00012470533,0.000031954976,0.00017031873,0.0034935456,0.000049605344,0.016608067],"genre_scores_gemma":[0.9895328,0.0013888669,0.0031322546,0.000040505984,0.000006269092,0.000072199946,0.0019558873,0.000028953897,0.0038422742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886715,0.0003144563,0.00003852856,0.000081198166,0.00058130885,0.00011731674],"domain_scores_gemma":[0.9990854,0.00028721275,0.00008361756,0.0000634124,0.00044512856,0.0000352107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020745283,0.0008336842,0.00043400266,0.004000531,0.0005374093,0.0010914609,0.0008150789,0.0007470324,0.002930501],"category_scores_gemma":[0.0018876753,0.0002533382,0.0013924225,0.0024086963,0.00028615535,0.0015222273,0.0006613425,0.00035660347,0.0003419249],"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":[0.00790793,0.0017754174,0.10074483,0.0012660576,0.0015489076,0.0004364528,0.00033690128,0.53202647,0.040886804,0.010985973,0.0039829803,0.2981013],"study_design_scores_gemma":[0.00056990556,0.015442203,0.3073898,0.00046539342,0.0026476784,0.0003446134,0.0031056153,0.3950875,0.17876853,0.033321578,0.06248301,0.00037419275],"about_ca_topic_score_codex":0.018443365,"about_ca_topic_score_gemma":0.044405434,"teacher_disagreement_score":0.018443365,"about_ca_system_score_codex":0.002929214,"about_ca_system_score_gemma":0.0011342964,"threshold_uncertainty_score":0.036672056},"labels":[],"label_agreement":null},{"id":"W2791132761","doi":"10.1016/j.cosust.2018.02.009","title":"Keeping global climate change within 1.5 °C through net negative electric cities","year":2018,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Victoria","funders":"","keywords":"Electrification; Climate change; Electricity; Work (physics); Investment (military); Natural resource economics; Electric power; Mains electricity; Net (polyhedron); Business; Climate change mitigation; Electric energy; Efficient energy use; Environmental economics; Environmental science; Power (physics); Economics; Engineering; Political science; Ecology; Biology; Electrical engineering","score_opus":0.0161100491945301,"score_gpt":0.2690085658396709,"score_spread":0.25289851664514085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791132761","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050315425,0.12959725,0.030661022,0.4858677,0.04758278,0.00005105673,0.0013063526,0.0007358732,0.2538826],"genre_scores_gemma":[0.5697749,0.22117825,0.007002217,0.087434836,0.016065944,0.00012869679,0.0012149296,0.00039072946,0.0968095],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997038,0.00004562073,0.000009864481,0.00006171401,0.00011120352,0.00006771478],"domain_scores_gemma":[0.9987902,0.0003084251,0.00012054533,0.00011945632,0.00052040315,0.00014100599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010405648,0.00042710488,0.0002898697,0.00022726513,0.0003609696,0.0019808477,0.0012144072,0.0023661419,0.010438375],"category_scores_gemma":[0.0027508277,0.0000909707,0.00034857288,0.0003648771,0.0016522267,0.0033867592,0.0012729974,0.0025861387,0.002768487],"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":[0.00028734465,0.00014223195,0.0024493898,0.0021184112,0.0001541946,0.00025595792,0.000652287,0.0052638096,0.0108868675,0.22573216,0.26366147,0.48839584],"study_design_scores_gemma":[0.000029914863,0.00009955554,0.0033745724,0.00048349376,0.00006759251,0.00010576217,0.0008419721,0.0008220091,0.0032638197,0.059856616,0.93102336,0.00003131913],"about_ca_topic_score_codex":0.0021024484,"about_ca_topic_score_gemma":0.0038014178,"teacher_disagreement_score":0.010438375,"about_ca_system_score_codex":0.00079996575,"about_ca_system_score_gemma":0.001435414,"threshold_uncertainty_score":0.034919858},"labels":[],"label_agreement":null},{"id":"W2791598124","doi":"10.1109/tsg.2018.2816404","title":"Smart Operation of Electric Vehicles With Four-Quadrant Chargers Considering Uncertainties","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Kinectrics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; ABB; International Business Machines Corporation","keywords":"Smart grid; Electric vehicle; AC power; Voltage; Demand response; Computer science; Engineering; Automotive engineering; Mathematical optimization; Control theory (sociology); Power (physics); Electrical engineering; Electricity; Control (management); Mathematics","score_opus":0.010954280756446057,"score_gpt":0.1993292182228385,"score_spread":0.18837493746639244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791598124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14968361,0.00016711117,0.84579843,0.00010342884,0.000025837735,0.000049989838,0.000060638395,0.0003724385,0.0037385607],"genre_scores_gemma":[0.9880304,0.000034627235,0.011389676,0.000010799289,0.0000048648362,0.000012756373,0.000019189418,0.000011261787,0.0004864099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971575,0.00009868668,0.0000112328535,0.000059445207,0.00006278527,0.0000521057],"domain_scores_gemma":[0.99971694,0.00012447312,0.00005876796,0.000036417197,0.0000438975,0.00001955118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005097431,0.000616042,0.00072917424,0.00023820216,0.00026008525,0.0006971602,0.0006657087,0.0004906144,0.0008003089],"category_scores_gemma":[0.001067444,0.00030492796,0.00035150614,0.0002433913,0.00044672054,0.0005525142,0.00061093055,0.00041785394,0.000113038244],"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":[0.000047002843,0.000009005975,0.0004016107,0.000015653568,0.000010589441,0.00007338377,0.000024676667,0.9858467,0.0016611048,0.0011515901,0.000082259634,0.010676426],"study_design_scores_gemma":[0.0000048867814,0.00002319893,0.00015077725,0.000001273347,0.000003909548,0.000014330402,0.000013446475,0.99825305,0.00043399257,0.0009294629,0.00016849364,0.0000031478069],"about_ca_topic_score_codex":0.005526628,"about_ca_topic_score_gemma":0.004780507,"teacher_disagreement_score":0.005526628,"about_ca_system_score_codex":0.00052027946,"about_ca_system_score_gemma":0.0005952116,"threshold_uncertainty_score":0.010988951},"labels":[],"label_agreement":null},{"id":"W2792687630","doi":"10.1002/batt.201700001","title":"<i>Batteries &amp; Supercaps</i>: The Future of Electrochemical Energy Storage","year":2018,"lang":"en","type":"article","venue":"Batteries & Supercaps","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Supercapacitor; Automotive industry; Renewable energy; Automotive engineering; Battery (electricity); Wind power; Electricity; Environmental economics; Engineering; Electrical engineering; Power (physics)","score_opus":0.0039443211292057795,"score_gpt":0.18399048563755893,"score_spread":0.18004616450835315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792687630","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004527682,0.64351225,0.036809973,0.0277236,0.024276821,0.00010872205,0.0018811723,0.0022227226,0.25893718],"genre_scores_gemma":[0.098314844,0.61334723,0.038942106,0.01660626,0.012588001,0.00027566173,0.003625624,0.0013166332,0.21498363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935156,0.0000619016,0.000037040274,0.00007907435,0.0004080646,0.00006235189],"domain_scores_gemma":[0.9994029,0.00013325235,0.00003186749,0.000047994505,0.00032698005,0.00005702337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053275307,0.0008155035,0.00071879965,0.0010821662,0.00060325325,0.002843375,0.0016948906,0.0021476767,0.021735277],"category_scores_gemma":[0.00086244877,0.00041791753,0.00039232385,0.002398404,0.0011512159,0.0062537137,0.0013805453,0.0029207477,0.015200001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001390334,0.000051081624,0.00031889713,0.002382042,0.000037862803,0.00030904534,0.00014225395,0.0015299446,0.01594509,0.13971995,0.4344737,0.4049511],"study_design_scores_gemma":[0.000004803307,0.000045963854,0.00009593925,0.00035430863,0.000009010169,0.00030050907,0.000053717307,0.0016419956,0.004200675,0.02326623,0.97000027,0.000026464615],"about_ca_topic_score_codex":0.00091844384,"about_ca_topic_score_gemma":0.0013333077,"teacher_disagreement_score":0.021735277,"about_ca_system_score_codex":0.0010326835,"about_ca_system_score_gemma":0.00058969023,"threshold_uncertainty_score":0.072711766},"labels":[],"label_agreement":null},{"id":"W2793763973","doi":"10.1016/j.ijepes.2017.12.017","title":"Wind power smoothing using demand response of electric vehicles","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Smoothing; Controller (irrigation); Wind power; Automotive engineering; Demand response; State of charge; Electric vehicle; Fuzzy logic; Computer science; Power (physics); Electric power system; Engineering; Control theory (sociology); Control (management); Electrical engineering; Electricity","score_opus":0.006684232443690817,"score_gpt":0.2306966750578541,"score_spread":0.22401244261416328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793763973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5370301,0.00046371476,0.44796708,0.00038708383,0.00038893253,0.000061390434,0.00045949093,0.0016748117,0.0115674855],"genre_scores_gemma":[0.9944976,0.000034637476,0.004485042,0.00001128768,0.000015494295,0.000004723447,0.00008610491,0.000020233056,0.0008448396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998888,0.00003240419,0.000007851588,0.000027984983,0.00002557271,0.000017380098],"domain_scores_gemma":[0.99965656,0.00015887756,0.000030793504,0.00003609676,0.00010097418,0.000016805903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023438354,0.00037570656,0.0003928731,0.00027735162,0.00014045025,0.00036388743,0.00034695579,0.00031002678,0.00133738],"category_scores_gemma":[0.0012008145,0.00021140306,0.0002439475,0.00039456002,0.00007702996,0.00038279773,0.0001660008,0.0003258798,0.0003017975],"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":[0.0007313485,0.0001712465,0.0041825203,0.00011847767,0.00007602344,0.00014541141,0.00004752247,0.85137284,0.011020675,0.0019377376,0.0020874683,0.12810868],"study_design_scores_gemma":[0.0000073710016,0.000021930407,0.000796277,0.0000020592724,0.000009405958,0.000008481803,0.000007934218,0.99748933,0.00095430395,0.0004157632,0.00028366735,0.000003472417],"about_ca_topic_score_codex":0.0030169468,"about_ca_topic_score_gemma":0.0041906587,"teacher_disagreement_score":0.0030169468,"about_ca_system_score_codex":0.0001705583,"about_ca_system_score_gemma":0.00017765179,"threshold_uncertainty_score":0.0059987903},"labels":[],"label_agreement":null},{"id":"W2794013895","doi":"10.1109/infocom.2018.8486414","title":"EV Charging Network Design with Transportation and Power Grid Constraints","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Charging station; Computer science; Grid; Mathematical optimization; Profit maximization; Electric vehicle; Profit (economics); Convex optimization; Facility location problem; Maximization; Power (physics); Regular polygon; Mathematics","score_opus":0.0047763813967023165,"score_gpt":0.17329041604940565,"score_spread":0.16851403465270334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794013895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025346559,0.0005899516,0.95158726,0.00051226193,0.00011335757,0.00018110378,0.00032630964,0.00023151732,0.02111157],"genre_scores_gemma":[0.8182199,0.0014365696,0.1558785,0.00024658028,0.00013022388,0.0005562557,0.00046724308,0.00021777945,0.022846995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991147,0.00032326946,0.000030348885,0.00020030857,0.00016566635,0.00016569762],"domain_scores_gemma":[0.99922955,0.0003639521,0.00009593105,0.000040637507,0.00019940808,0.00007060867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095320155,0.0017715076,0.0012982417,0.0006977414,0.0005439322,0.0016700394,0.002194143,0.001677946,0.006200413],"category_scores_gemma":[0.002776785,0.0009343601,0.0008219343,0.0013304302,0.0006293347,0.0018964128,0.0016397029,0.001062321,0.00082449085],"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":[0.000039707636,0.00002295377,0.00023979016,0.0000787565,0.0000118489,0.00012256502,0.000024145304,0.978567,0.000816588,0.009197081,0.0010510767,0.009828458],"study_design_scores_gemma":[0.000009778623,0.000026487576,0.00006939014,0.000006850122,0.000008810153,0.000040693358,0.000028045431,0.9934289,0.00031447865,0.0047973883,0.0012620675,0.0000070771457],"about_ca_topic_score_codex":0.0054628877,"about_ca_topic_score_gemma":0.0036005413,"teacher_disagreement_score":0.006200413,"about_ca_system_score_codex":0.0016467315,"about_ca_system_score_gemma":0.0012770717,"threshold_uncertainty_score":0.020742416},"labels":[],"label_agreement":null},{"id":"W2794396209","doi":"10.1038/s41560-017-0077-9","title":"Simulating the value of electric-vehicle–grid integration using a behaviourally realistic model","year":2018,"lang":"en","type":"article","venue":"Nature Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Electricity; Volunteered geographic information; Grid; Incentive; Electric vehicle; Renewable energy; Environmental economics; Smart grid; Computer science; Business; Automotive engineering; Microeconomics; Economics; Engineering; Electrical engineering; Data science; Physics; Power (physics)","score_opus":0.006866264019836131,"score_gpt":0.2322993437826776,"score_spread":0.22543307976284147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794396209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92850333,0.000089648485,0.030507226,0.0012720063,0.00009894653,0.000055233093,0.0006260983,0.00017145477,0.03867607],"genre_scores_gemma":[0.9961378,0.000025636074,0.0014144453,0.000039146304,0.0000049301543,0.000014771202,0.000079654455,0.000016826967,0.002266707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999746,0.00009014886,0.000009766728,0.00003335718,0.00003886424,0.00008189343],"domain_scores_gemma":[0.9984773,0.00096647884,0.00011528493,0.00008631216,0.00019246351,0.00016212786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461979,0.00045901837,0.00051980925,0.00044956114,0.00050720247,0.00121918,0.0014342292,0.0021448764,0.006781914],"category_scores_gemma":[0.003509822,0.00052881346,0.0006485456,0.00066087215,0.0009806836,0.001434092,0.0007878116,0.0013454105,0.0003070494],"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":[0.000041371983,0.000037351456,0.0005350584,0.0000076031274,0.0000056996632,0.000041071362,0.000016621685,0.99515027,0.00029007133,0.003437394,0.000113509646,0.0003239642],"study_design_scores_gemma":[0.00001696036,0.000014552803,0.00018552507,0.0000021682777,0.0000042829256,0.000004308862,0.000023671077,0.9983981,0.00013719648,0.0010888424,0.000120012905,0.0000044217504],"about_ca_topic_score_codex":0.036058135,"about_ca_topic_score_gemma":0.023075039,"teacher_disagreement_score":0.036058135,"about_ca_system_score_codex":0.0021221966,"about_ca_system_score_gemma":0.0013098371,"threshold_uncertainty_score":0.07169652},"labels":[],"label_agreement":null},{"id":"W2795898573","doi":"10.1007/978-3-319-89656-4_27","title":"Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Mitacs","keywords":"Computer science; Dynamic programming; Schedule; Electricity; Scheduling (production processes); Operations research; Mathematical optimization; Real-time computing; Electrical engineering; Algorithm; Operating system; Engineering","score_opus":0.010267669129533996,"score_gpt":0.23074280473961106,"score_spread":0.22047513561007706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795898573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020012984,0.000865621,0.9598413,0.00030930317,0.00026031886,0.00007057339,0.00008251573,0.000289738,0.01826773],"genre_scores_gemma":[0.834136,0.0011093728,0.14675917,0.000119252436,0.00021549145,0.00015003294,0.00020122861,0.0002499251,0.017059604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966383,0.00009387729,0.000009883993,0.000057828456,0.00008746863,0.00008712156],"domain_scores_gemma":[0.999752,0.00014647673,0.000020091546,0.000015925416,0.000040352425,0.000025108997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044108368,0.0008826796,0.0011136958,0.00036125307,0.00043843893,0.0011499784,0.00093331875,0.0006056158,0.004008989],"category_scores_gemma":[0.001067349,0.0005257146,0.0006179779,0.0007681996,0.00052036747,0.00081472326,0.00066992675,0.0011046671,0.00042450347],"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":[0.000082911894,0.00004752714,0.00006952626,0.00007994452,0.000018653247,0.000026629968,0.000030438408,0.9314323,0.0014773611,0.02660229,0.0025389653,0.037593383],"study_design_scores_gemma":[0.000008116834,0.00001511707,0.000028768442,0.0000037485875,0.0000031401253,0.00000630276,0.0000068282448,0.98724246,0.0002413526,0.011390777,0.0010502362,0.0000030765043],"about_ca_topic_score_codex":0.00397944,"about_ca_topic_score_gemma":0.0038975521,"teacher_disagreement_score":0.004008989,"about_ca_system_score_codex":0.0013319777,"about_ca_system_score_gemma":0.0012673126,"threshold_uncertainty_score":0.013411343},"labels":[],"label_agreement":null},{"id":"W2796500746","doi":"10.1109/tits.2018.2816935","title":"Mobility-Aware Vehicle-to-Grid Control Algorithm in Microgrids","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation; Ministry of Education","keywords":"Microgrid; Markov decision process; Reinforcement learning; Computer science; Grid; Vehicle-to-grid; Electric vehicle; Markov process; Process (computing); Control (management); Mathematical optimization; Engineering; Power (physics); Artificial intelligence; Mathematics","score_opus":0.00810418972912869,"score_gpt":0.2207650348115382,"score_spread":0.2126608450824095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796500746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12881005,0.0006735902,0.86312526,0.00057894865,0.00010543167,0.000091523514,0.00007108369,0.000841816,0.0057023605],"genre_scores_gemma":[0.9801908,0.00007709042,0.018678946,0.000058825764,0.000013660421,0.00005171521,0.00003526664,0.000012017858,0.0008815816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997534,0.00005058517,0.000015600443,0.00006900143,0.000042723186,0.00006876716],"domain_scores_gemma":[0.99959666,0.00016869066,0.00008496703,0.000023495446,0.00007791162,0.000048257134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004874362,0.0006299744,0.0009068405,0.0002754277,0.00049678975,0.00065384514,0.001038398,0.0006737056,0.0011410194],"category_scores_gemma":[0.0009831548,0.0002596705,0.00030741026,0.00033195424,0.00057226204,0.0004918798,0.0009375447,0.00069886475,0.00014370108],"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":[0.000075195596,0.000024578718,0.00064046227,0.00002283498,0.000017278353,0.000052833857,0.000045276647,0.9754748,0.0007346228,0.0026954815,0.00046350597,0.019753046],"study_design_scores_gemma":[0.000009793388,0.000014048689,0.00005548014,0.0000014935204,0.0000022657914,0.000006427421,0.00000537942,0.9991105,0.00010359818,0.00057502836,0.00011422163,0.000001709008],"about_ca_topic_score_codex":0.011718607,"about_ca_topic_score_gemma":0.0057691257,"teacher_disagreement_score":0.011718607,"about_ca_system_score_codex":0.0007710904,"about_ca_system_score_gemma":0.0012226577,"threshold_uncertainty_score":0.023300767},"labels":[],"label_agreement":null},{"id":"W2797656660","doi":"10.1016/j.trd.2018.04.002","title":"A review of consumer preferences of and interactions with electric vehicle charging infrastructure","year":2018,"lang":"en","type":"review","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":781,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; ClimateWorks Foundation","keywords":"Work (physics); Electricity; Electric vehicle; Transport engineering; Business; Public transport; Consumer behaviour; Environmental economics; Computer science; Marketing; Engineering; Economics; Electrical engineering","score_opus":0.035651719180407264,"score_gpt":0.3002899691217544,"score_spread":0.2646382499413471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797656660","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022657418,0.9954829,0.00013716075,0.00044990864,0.00012696369,0.000007644559,0.00018108395,0.0000027479055,0.001345959],"genre_scores_gemma":[0.007087753,0.99157447,0.00028814614,0.00042608398,0.000108632186,0.00000942421,0.00012982773,0.0000017388983,0.00037395293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996203,0.00009017733,0.00008300216,0.000078371784,0.00010543744,0.000022609875],"domain_scores_gemma":[0.99811685,0.0013435195,0.00022071908,0.000022691154,0.0002673874,0.000028920696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009396976,0.0005546691,0.0010546669,0.0019592524,0.00018068837,0.0011465352,0.00058375904,0.0008256929,0.0033978622],"category_scores_gemma":[0.0028905238,0.0002605069,0.000963299,0.0038148041,0.00029395407,0.0013001219,0.0003779181,0.0008764058,0.00034405504],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023602103,0.00013831678,0.0059069274,0.08896159,0.0009367211,0.00035275827,0.0006369053,0.00031194973,0.0006270768,0.0024422752,0.022904903,0.87654465],"study_design_scores_gemma":[0.00005865377,0.00039735172,0.05396988,0.06588023,0.0031364223,0.003652273,0.0023573774,0.00031674202,0.00091320113,0.0025221047,0.86660874,0.00018701382],"about_ca_topic_score_codex":0.004406507,"about_ca_topic_score_gemma":0.008549636,"teacher_disagreement_score":0.004406507,"about_ca_system_score_codex":0.00055257796,"about_ca_system_score_gemma":0.00096480077,"threshold_uncertainty_score":0.011366963},"labels":[],"label_agreement":null},{"id":"W2798560950","doi":"10.1109/apec.2018.8341591","title":"SiC based on-board EV power-hub with high-efficiency DC transfer mode through AC port for vehicle-to-vehicle charging","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical engineering; Maximum power transfer theorem; Power (physics); Electric vehicle; Total harmonic distortion; Voltage; Electronic engineering; Engineering; Physics","score_opus":0.00660676070897955,"score_gpt":0.21476404826606246,"score_spread":0.2081572875570829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798560950","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64706177,0.0006248108,0.29392064,0.00017731678,0.00025971155,0.00018265813,0.00032718843,0.0040493784,0.053396553],"genre_scores_gemma":[0.982611,0.00008963819,0.011876707,0.000032854317,0.00001689422,0.000021236876,0.0001063803,0.0000451284,0.0052002748],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998988,0.00001307373,0.000004039391,0.000014361669,0.00005643563,0.000013283462],"domain_scores_gemma":[0.999907,0.000010767586,0.000011988146,0.000019373396,0.000041933625,0.0000088645775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011107529,0.00029989096,0.00026349595,0.0003008658,0.00015452462,0.00038131443,0.0006195921,0.00020423996,0.0028609068],"category_scores_gemma":[0.00013705151,0.000085905005,0.00016331405,0.0004111775,0.0001453587,0.00037274713,0.000200569,0.00028505202,0.00091282325],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080915104,0.00033109193,0.0043382556,0.0008001773,0.0000846269,0.000644479,0.00033234246,0.02635416,0.722108,0.011373478,0.012226914,0.22059728],"study_design_scores_gemma":[0.00010942928,0.0017291118,0.009337653,0.00004978564,0.00009913075,0.0012491366,0.00015345034,0.35745132,0.5813138,0.0015254142,0.046931185,0.000050634513],"about_ca_topic_score_codex":0.00032866353,"about_ca_topic_score_gemma":0.00075181096,"teacher_disagreement_score":0.0028609068,"about_ca_system_score_codex":0.00017498342,"about_ca_system_score_gemma":0.00013755097,"threshold_uncertainty_score":0.009570658},"labels":[],"label_agreement":null},{"id":"W2798760254","doi":"10.1109/apec.2018.8341593","title":"An improved minimum-cost charging schedule for large-scale penetration of electric vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Schedule; Electricity; Grid; Computer science; Automotive engineering; Scheduling (production processes); Electric vehicle; Greenhouse gas; Smart grid; Power grid; Electrical engineering; Engineering; Power (physics); Operations management","score_opus":0.00623099772744917,"score_gpt":0.226613805337893,"score_spread":0.22038280761044382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798760254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04879139,0.00023560617,0.9428658,0.00021451409,0.00005390752,0.00010411479,0.0001121122,0.00023262312,0.007389949],"genre_scores_gemma":[0.94935703,0.00017784967,0.04815107,0.000029434395,0.000017269726,0.0000711323,0.00010729334,0.000034442797,0.0020545581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975616,0.00006718358,0.000009441918,0.000037778693,0.00007040295,0.0000590496],"domain_scores_gemma":[0.9997596,0.000096836724,0.00003885017,0.000013766718,0.000069458,0.000021506296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528563,0.0008330834,0.0007547192,0.0004087977,0.0004288868,0.00071648974,0.0012464285,0.0005704736,0.002391093],"category_scores_gemma":[0.0010498356,0.00037528633,0.0004575658,0.000615449,0.00025930852,0.000730918,0.00052041037,0.0006160382,0.00023239816],"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":[0.000038873117,0.00001898536,0.00018722749,0.000040038292,0.0000062239524,0.000035887697,0.00001903832,0.9806162,0.0009053,0.0052692224,0.0007386223,0.012124361],"study_design_scores_gemma":[0.000005706128,0.000020108933,0.000059475664,0.0000016504135,0.0000030818262,0.000009532482,0.000007089292,0.99878865,0.0001625868,0.00072314776,0.00021655252,0.0000023725781],"about_ca_topic_score_codex":0.009887882,"about_ca_topic_score_gemma":0.008454421,"teacher_disagreement_score":0.009887882,"about_ca_system_score_codex":0.0011332753,"about_ca_system_score_gemma":0.0012060353,"threshold_uncertainty_score":0.019660652},"labels":[],"label_agreement":null},{"id":"W2803389024","doi":"10.3390/wevj8030709","title":"Electric Vehicle Deployment Potential in the Yukon Territory","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Massachusetts Institute of Technology; U.S. Department of Energy","keywords":"Software deployment; Electric vehicle; Greenhouse gas; Cold climate; Environmental science; Business; Geography; Engineering; Meteorology; Geology; Oceanography","score_opus":0.004248324769121989,"score_gpt":0.1895045364650122,"score_spread":0.1852562116958902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803389024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88958985,0.005876359,0.0010811087,0.0016329642,0.000036260863,0.00004407893,0.0035409082,0.000040827003,0.098157614],"genre_scores_gemma":[0.9930335,0.0026755068,0.00035773806,0.000076903576,0.000002501268,0.000006335754,0.00072764757,0.0000064619294,0.0031133983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974614,0.000024657367,0.000015217048,0.000027494509,0.00007719494,0.00010922348],"domain_scores_gemma":[0.99936515,0.00007940324,0.00007585885,0.000013980715,0.00040318602,0.000062482926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022881692,0.00018660187,0.000115235154,0.0012518008,0.0009633013,0.0015871547,0.0003502806,0.00022850995,0.0027109834],"category_scores_gemma":[0.00068528135,0.00008038273,0.00026324435,0.0035699694,0.0005852518,0.00090787275,0.00068605965,0.0002191186,0.0001982566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004481919,0.00007013796,0.65089494,0.0022579446,0.00033809143,0.00722952,0.0072083985,0.014767006,0.010741568,0.07207258,0.018679488,0.21529211],"study_design_scores_gemma":[0.00001927343,0.00010155063,0.7831033,0.00047664135,0.00019273734,0.0018881005,0.04645124,0.0048268023,0.0026055127,0.004073716,0.15616901,0.00009213747],"about_ca_topic_score_codex":0.81348264,"about_ca_topic_score_gemma":0.90381247,"teacher_disagreement_score":0.18651736,"about_ca_system_score_codex":0.006630919,"about_ca_system_score_gemma":0.010069779,"threshold_uncertainty_score":0.37523156},"labels":[],"label_agreement":null},{"id":"W2803722245","doi":"10.3390/wevj8040983","title":"Comparative life cycle assessment of electric and conventional vehicles used in Québec, Canada","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hydro-Québec","keywords":"Hydroelectricity; Life-cycle assessment; Environmental science; Electric vehicle; Grid; Engineering; Geography; Economics; Electrical engineering; Physics; Production (economics)","score_opus":0.006877857563221816,"score_gpt":0.2235975662928745,"score_spread":0.21671970872965268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803722245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750708,0.0014098835,0.0016899284,0.0001316115,0.000010870247,0.00012425221,0.0069148997,0.000035401714,0.01461234],"genre_scores_gemma":[0.9915735,0.00043938216,0.0009124545,0.00002575837,0.0000011924882,0.000027192362,0.002455762,0.000009156898,0.004555494],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931395,0.00007091333,0.000022441296,0.0000777738,0.0003779115,0.00013707411],"domain_scores_gemma":[0.9986902,0.00011411272,0.000079794234,0.000023344299,0.0010205598,0.0000720443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722348,0.000400735,0.00019761887,0.0018830507,0.000926779,0.001022831,0.00093544053,0.0002311789,0.0019672643],"category_scores_gemma":[0.0011060348,0.000116168536,0.0003920586,0.0032928481,0.0003761962,0.00035174194,0.00029135394,0.00017634533,0.00016360161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001072212,0.00036654965,0.6239298,0.0008332648,0.00056476553,0.0010818553,0.0014126741,0.19128968,0.01895595,0.006447393,0.0066015725,0.14744423],"study_design_scores_gemma":[0.000050615978,0.0004746905,0.8849526,0.00012668068,0.00021339816,0.00019278548,0.0038292087,0.07440891,0.007398982,0.00041579324,0.027826853,0.00010942743],"about_ca_topic_score_codex":0.98988616,"about_ca_topic_score_gemma":0.99394673,"teacher_disagreement_score":0.037254672,"about_ca_system_score_codex":0.037254672,"about_ca_system_score_gemma":0.015524827,"threshold_uncertainty_score":0.27030283},"labels":[],"label_agreement":null},{"id":"W2803743336","doi":"10.3390/wevj8020531","title":"Residential Smart-Charging Pilot Program in Toronto: Results of a Utility Controlled Charging Pilot","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"CrossChasm Technologies (Canada)","funders":"","keywords":"Pilot program; Automotive engineering; Environmental science; Transport engineering; Engineering; Business; Medicine; Medical education","score_opus":0.00969626608773455,"score_gpt":0.2399143018804127,"score_spread":0.23021803579267816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803743336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987099,0.0000057347106,0.00010362589,0.000036307763,0.0000018464275,0.00020239028,0.00005577018,0.000011905157,0.0008724411],"genre_scores_gemma":[0.9979074,0.00002680181,0.00043372315,0.000035548168,0.0000032181608,0.00014151061,0.00013289468,0.00000456719,0.0013143534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990688,0.00036597005,0.00003373016,0.000072469564,0.00017879484,0.00028028016],"domain_scores_gemma":[0.9970005,0.00078916503,0.00021436176,0.00023450557,0.0011562749,0.00060508103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706446,0.00033296723,0.00023819557,0.00035406824,0.0020021647,0.00048668872,0.00061952387,0.0004908106,0.0018427524],"category_scores_gemma":[0.003803612,0.0002487857,0.00024388632,0.0005031869,0.0010755812,0.00048091018,0.0007322273,0.00044941675,0.0003334733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010311642,0.045406654,0.4622476,0.0010130877,0.00018726508,0.009932439,0.19124427,0.0047287378,0.05404412,0.0011088208,0.007656334,0.21211907],"study_design_scores_gemma":[0.0008972846,0.0231695,0.85869485,0.000059970564,0.00011190864,0.0004220199,0.09219187,0.0038439038,0.011351603,0.0001747329,0.008973008,0.00010933358],"about_ca_topic_score_codex":0.3641695,"about_ca_topic_score_gemma":0.58275265,"teacher_disagreement_score":0.6358305,"about_ca_system_score_codex":0.0037747694,"about_ca_system_score_gemma":0.0044551613,"threshold_uncertainty_score":0.72409964},"labels":[],"label_agreement":null},{"id":"W2803918666","doi":"10.3390/wevj8030705","title":"Analysis of Consumers' Attitudes Towards Purchasing PHEVs and HEVs in Manitoba, Canada","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Incentive; Business; Marketing; Government (linguistics); Environmental economics; Economics","score_opus":0.006585295351546292,"score_gpt":0.19715752399511832,"score_spread":0.19057222864357204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803918666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952668,0.00018775443,0.00007478412,0.00025335816,0.000005846171,0.00004038843,0.0005209582,0.00000428492,0.0036459367],"genre_scores_gemma":[0.99426395,0.00051408325,0.000302426,0.00017138281,0.0000029077141,0.000033751745,0.000565261,0.000005188284,0.004140972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993861,0.00006213381,0.00002550616,0.00006186798,0.00024914468,0.00021527505],"domain_scores_gemma":[0.99797493,0.00015762233,0.00016722434,0.00003184442,0.0011933793,0.00047501185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055835483,0.00031795347,0.0002805681,0.001660864,0.0049294806,0.0015926394,0.00086920796,0.0003153972,0.0029706964],"category_scores_gemma":[0.0013515115,0.00032966898,0.00046581434,0.005659433,0.0009870036,0.0003466587,0.000721503,0.0007302538,0.00026175147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011460751,0.00013853921,0.97666025,0.000056503835,0.000044918797,0.00030880174,0.010031805,0.00018665117,0.00082948833,0.000500734,0.0013438794,0.009783708],"study_design_scores_gemma":[0.000009353121,0.00004480182,0.96580374,0.000051516887,0.000026129956,0.00006409332,0.030456498,0.0003605729,0.00020023999,0.000038127353,0.0029223685,0.000022560258],"about_ca_topic_score_codex":0.99697423,"about_ca_topic_score_gemma":0.9987483,"teacher_disagreement_score":0.032322675,"about_ca_system_score_codex":0.032322675,"about_ca_system_score_gemma":0.040578745,"threshold_uncertainty_score":0.23451853},"labels":[],"label_agreement":null},{"id":"W2804224832","doi":"","title":"Factors Influencing Electric Vehicle Adoption in Atlantic Canada: A Stated Preference Analysis","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Preference; Statistics; Mathematics","score_opus":0.03836464921611604,"score_gpt":0.30181683522032776,"score_spread":0.2634521860042117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804224832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822754,0.00007171117,0.00007237699,0.00023204478,0.0000055895784,0.000031799067,0.00017743894,0.0000012245042,0.0011803181],"genre_scores_gemma":[0.9981092,0.0001391361,0.00021126724,0.00013297977,0.0000031631025,0.000022933464,0.00018601697,0.000002524331,0.0011926899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837816,0.0003519687,0.000121138764,0.00009868877,0.0005472823,0.0005028025],"domain_scores_gemma":[0.9923458,0.0027253537,0.00085837493,0.00015635477,0.0024713501,0.0014426975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023728646,0.00021548726,0.00033697032,0.00063396804,0.00194189,0.00193468,0.0008881476,0.00060443167,0.0046638455],"category_scores_gemma":[0.0077616055,0.00020514122,0.00076584995,0.001935367,0.0007023906,0.00060753257,0.0006834483,0.0011769588,0.0001856963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006004242,0.00063619216,0.9680645,0.00007243831,0.000103540195,0.00025529868,0.009437539,0.0004659482,0.00039331312,0.00046457004,0.0015093273,0.017997008],"study_design_scores_gemma":[0.00009433404,0.00039333582,0.9344494,0.00013782657,0.00012817407,0.00008013008,0.05851943,0.0029437756,0.00031127728,0.00017067831,0.002710449,0.00006127496],"about_ca_topic_score_codex":0.969823,"about_ca_topic_score_gemma":0.9886813,"teacher_disagreement_score":0.030176997,"about_ca_system_score_codex":0.013793763,"about_ca_system_score_gemma":0.030613448,"threshold_uncertainty_score":0.100081265},"labels":[],"label_agreement":null},{"id":"W2804385801","doi":"10.3390/wevj8020564","title":"A System-based View of the Standards and Certification Landscape for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Certification; Process (computing); Standard system; Systems engineering; Computer science; Battery (electricity); Electric vehicle; Transport engineering; Engineering management; Manufacturing engineering; Engineering; Construction engineering","score_opus":0.005765801353198305,"score_gpt":0.20567720672789985,"score_spread":0.19991140537470153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804385801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011638611,0.010667639,0.5847255,0.032454707,0.001319479,0.00025672576,0.00035776163,0.0006652162,0.35791424],"genre_scores_gemma":[0.4912093,0.03570843,0.3382419,0.008966087,0.0022390168,0.0006305005,0.0016620065,0.00069317856,0.12064957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996326,0.0010008413,0.00028075403,0.0004220526,0.001682957,0.00028724532],"domain_scores_gemma":[0.99688244,0.0008852636,0.0002509175,0.00034616873,0.0014500312,0.00018527557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048229173,0.0006754614,0.00045937116,0.004396576,0.0022339586,0.010973087,0.0021215717,0.0038721657,0.006993937],"category_scores_gemma":[0.0040036896,0.00060260703,0.0007991757,0.0034709463,0.004431808,0.010719391,0.0032262802,0.0043327753,0.0022484784],"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":[0.000005543076,0.000021966383,0.00039720582,0.0001470242,0.000009180411,0.00016434584,0.00057698967,0.0048042843,0.0010857926,0.9687321,0.0044217464,0.019633869],"study_design_scores_gemma":[0.000008750745,0.00010662461,0.001170623,0.0008118449,0.00003466107,0.0005749825,0.0015525467,0.015231344,0.002141044,0.29869664,0.67961407,0.000056956666],"about_ca_topic_score_codex":0.010107381,"about_ca_topic_score_gemma":0.008510238,"teacher_disagreement_score":0.010973087,"about_ca_system_score_codex":0.0056280633,"about_ca_system_score_gemma":0.005375081,"threshold_uncertainty_score":0.040834665},"labels":[],"label_agreement":null},{"id":"W2804602511","doi":"10.3390/wevj8010001","title":"Feasibility of a Pan-Canadian Network of DC Fast Charging Stations for EVs","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business case; Business; Cost–benefit analysis; Environmental economics; Current (fluid); Telecommunications; Engineering; Electrical engineering; Economics; Political science","score_opus":0.010570678866012878,"score_gpt":0.22488500718844995,"score_spread":0.21431432832243708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804602511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6817557,0.00073392823,0.016601548,0.0060350625,0.0001800112,0.00071413687,0.0016572531,0.00028240783,0.29203996],"genre_scores_gemma":[0.9833288,0.00030827514,0.005712595,0.00013902564,0.000009017333,0.000050972496,0.00038468812,0.000015002001,0.010051574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985561,0.00023525186,0.000029882916,0.00017788896,0.0004919224,0.0005088877],"domain_scores_gemma":[0.99716336,0.00033569295,0.00007305344,0.000102605925,0.0019993004,0.00032588726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019797338,0.000500525,0.00019041478,0.0008207545,0.0039830455,0.0026160756,0.0014867448,0.000940187,0.008599589],"category_scores_gemma":[0.004977858,0.00029599466,0.0004943181,0.0012966988,0.0007104076,0.001879988,0.0012107048,0.0009953086,0.0005689551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031153315,0.0011853707,0.13475811,0.0008610607,0.00027165966,0.0031226398,0.0023452356,0.24297966,0.015703568,0.2727244,0.05137618,0.27155688],"study_design_scores_gemma":[0.0010741471,0.0023123315,0.1370854,0.00053964136,0.0007932116,0.0013155172,0.037372813,0.36417636,0.018046515,0.026137438,0.41077042,0.00037622667],"about_ca_topic_score_codex":0.90444386,"about_ca_topic_score_gemma":0.94224167,"teacher_disagreement_score":0.09555614,"about_ca_system_score_codex":0.023556113,"about_ca_system_score_gemma":0.034888804,"threshold_uncertainty_score":0.19223773},"labels":[],"label_agreement":null},{"id":"W2804773950","doi":"10.3390/wevj8040831","title":"Implications of Successes and Failures of BEV-Focused Incentive Support for PEVs in the U.S., Canada and Europe","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Argonne National Laboratory; Vehicle Technologies Office; University of Chicago; U.S. Department of Energy","keywords":"Incentive; Per capita; Range (aeronautics); Market share; Business; Agricultural economics; Environmental science; Economics; Finance; Engineering; Demography","score_opus":0.004661693388520476,"score_gpt":0.19883452049503794,"score_spread":0.19417282710651745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804773950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699267,0.000910706,0.0000950956,0.0018280944,0.000026083368,0.000022760778,0.0016788029,0.000011967214,0.025499739],"genre_scores_gemma":[0.99698323,0.0004858956,0.00006577908,0.00012120925,0.000004131737,0.000003867415,0.0005295414,0.00000592437,0.0018002803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997079,0.00019353408,0.00009461333,0.00027972035,0.00081392203,0.0015392193],"domain_scores_gemma":[0.9927918,0.00064781494,0.0012010087,0.0001688148,0.003181006,0.002009574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016215089,0.00025485113,0.00031143514,0.0026730902,0.0033834875,0.003650325,0.0011519003,0.0005290449,0.0024293533],"category_scores_gemma":[0.00802536,0.00022269604,0.00047216372,0.004857067,0.0020671554,0.0010164677,0.0020676295,0.0008925518,0.00015100809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017330155,0.000056244964,0.9660148,0.00004598603,0.0000876545,0.00052454055,0.0020432156,0.0019437333,0.00021696188,0.0075351126,0.0034939535,0.017864414],"study_design_scores_gemma":[0.000004983816,0.00002558445,0.9838569,0.000064013206,0.00003421345,0.000102784885,0.010281151,0.000594873,0.00018336409,0.00025353112,0.0045746304,0.000023979897],"about_ca_topic_score_codex":0.9838589,"about_ca_topic_score_gemma":0.99018186,"teacher_disagreement_score":0.02442895,"about_ca_system_score_codex":0.02442895,"about_ca_system_score_gemma":0.038833067,"threshold_uncertainty_score":0.17724526},"labels":[],"label_agreement":null},{"id":"W2804780903","doi":"10.3390/wevj8020543","title":"Impact Analysis of Controllable Home Appliances and EVs on Neighbourhood Level Network with Smart Control","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neighbourhood (mathematics); Smart grid; Power network; Home automation; Power consumption; Automotive engineering; Power grid; Control (management); Grid; Electric power system; Computer science; Telecommunications; Power (physics); Electrical engineering; Engineering","score_opus":0.005150496040469126,"score_gpt":0.19869255254191873,"score_spread":0.1935420565014496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804780903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90683323,0.00044595232,0.04956874,0.00025562415,0.000051505074,0.00007619321,0.00035153536,0.00015916053,0.042258125],"genre_scores_gemma":[0.99738055,0.00008949655,0.0005536829,0.000009670136,0.0000039713573,0.000009485523,0.0000389747,0.000009015647,0.001905041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997272,0.00009421995,0.0000046579426,0.00003225778,0.00005696392,0.00008468583],"domain_scores_gemma":[0.9993612,0.00036093532,0.0000721937,0.000028528706,0.0001313911,0.000045746223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035684116,0.0005480839,0.0004303058,0.00036985925,0.00034392535,0.00068597525,0.0006462159,0.00059504877,0.0042378004],"category_scores_gemma":[0.0011229374,0.00018505663,0.00052390527,0.000365041,0.0005582585,0.0008590049,0.0006084481,0.00038011494,0.00020719842],"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":[0.000085161395,0.000021512697,0.0014402998,0.0000265544,0.000017389724,0.00019343672,0.000016047674,0.99294585,0.0012202101,0.002027674,0.00022173845,0.0017841636],"study_design_scores_gemma":[0.000004677087,0.00007077296,0.0012468765,0.0000045421802,0.000019419385,0.000027918215,0.000060436687,0.9970458,0.00053193007,0.0007884626,0.00019458789,0.000004566708],"about_ca_topic_score_codex":0.013745321,"about_ca_topic_score_gemma":0.01063882,"teacher_disagreement_score":0.013745321,"about_ca_system_score_codex":0.0013639663,"about_ca_system_score_gemma":0.0003684435,"threshold_uncertainty_score":0.027330577},"labels":[],"label_agreement":null},{"id":"W2804793426","doi":"10.1016/j.ijepes.2018.04.037","title":"An inclusive methodology for Plug-in electrical vehicle operation with G2V and V2G in smart microgrid environments","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Energia Elétrica; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microgrid; Plug-in; Plumbagin; Plug and play; Computer science; Automotive engineering; Electrical engineering; Engineering; Biology; Renewable energy","score_opus":0.007061535944644922,"score_gpt":0.25216498746023064,"score_spread":0.2451034515155857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804793426","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059004887,0.000076808436,0.9890912,0.00006583188,0.000032031683,0.00013106827,0.000026058666,0.00021125312,0.0044652587],"genre_scores_gemma":[0.41088825,0.00023954528,0.57949245,0.0000981695,0.000041548792,0.00031207144,0.000119538425,0.00016309961,0.00864539],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991301,0.00026827396,0.000056007313,0.00012429891,0.0003210133,0.00010038911],"domain_scores_gemma":[0.99937123,0.0001594461,0.00005546864,0.00011486192,0.00024685793,0.00005207672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011812791,0.00079362094,0.0006550583,0.0006949092,0.00085066137,0.0016488151,0.0014386222,0.00073043164,0.004842527],"category_scores_gemma":[0.0018808623,0.0003338881,0.00083608436,0.0005653659,0.0005727985,0.0016658083,0.002319857,0.00075122755,0.0007996087],"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":[0.0002492964,0.00041781494,0.003088193,0.000570557,0.0001765287,0.0010142975,0.0007361717,0.33017853,0.027636698,0.20682958,0.0035688698,0.42553347],"study_design_scores_gemma":[0.000024792407,0.000181023,0.0005431641,0.000053912605,0.00006633944,0.00028926044,0.00023923814,0.9350529,0.0069573424,0.04738078,0.009186748,0.000024478342],"about_ca_topic_score_codex":0.0022731677,"about_ca_topic_score_gemma":0.0034803338,"teacher_disagreement_score":0.004842527,"about_ca_system_score_codex":0.0005198244,"about_ca_system_score_gemma":0.0016046888,"threshold_uncertainty_score":0.016199827},"labels":[],"label_agreement":null},{"id":"W2804797752","doi":"10.5267/j.ijiec.2017.10.002","title":"Integrated planning of electric vehicles routing and charging stations location considering transportation networks and power distribution systems","year":2018,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Routing (electronic design automation); Distribution (mathematics); Transport engineering; Power (physics); Vehicle routing problem; Computer science; Electric vehicle; Automotive engineering; Engineering; Computer network; Mathematics","score_opus":0.011026224531558205,"score_gpt":0.22148227064846762,"score_spread":0.2104560461169094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804797752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114130914,0.00055553595,0.8664632,0.00041608413,0.00005887524,0.00017394703,0.0003653307,0.00023637716,0.017599726],"genre_scores_gemma":[0.9443807,0.00037179285,0.046485215,0.00003943354,0.000019164712,0.00019311752,0.00022323053,0.00005214897,0.00823523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999585,0.00016805557,0.00001118107,0.0000803218,0.00007179361,0.000083677565],"domain_scores_gemma":[0.9993887,0.00037810125,0.00008235764,0.000022102406,0.00009091131,0.00003787496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202048,0.0011519876,0.0009904442,0.00050633034,0.00041009195,0.001310129,0.00088221073,0.0010066825,0.0029817813],"category_scores_gemma":[0.0015359458,0.000878301,0.0007791734,0.0008424645,0.0005886733,0.0009298819,0.0008266502,0.00086042134,0.00025643932],"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":[0.000009473652,0.000004982224,0.00007410283,0.000008849248,0.0000035336332,0.000015160772,0.0000051678726,0.9979771,0.0000849897,0.00072981004,0.000043568452,0.0010433285],"study_design_scores_gemma":[0.0000033887368,0.000013975561,0.000055364104,0.0000022272593,0.0000049345763,0.000004113763,0.00001165618,0.9989281,0.000098492776,0.00072254176,0.00015322716,0.0000018104246],"about_ca_topic_score_codex":0.024058359,"about_ca_topic_score_gemma":0.01807355,"teacher_disagreement_score":0.024058359,"about_ca_system_score_codex":0.0017638257,"about_ca_system_score_gemma":0.0018113134,"threshold_uncertainty_score":0.04783666},"labels":[],"label_agreement":null},{"id":"W2804943577","doi":"10.3390/wevj8010225","title":"Modeling the Demand for Renting Electric Vehicles in Canada: A Stated Preference Choice Approach","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Renting; Driving range; Electric vehicle; Preference; Range (aeronautics); Electric cars; Business; Environmental economics; Dependency (UML); Microeconomics; Economics; Computer science; Automotive engineering; Engineering","score_opus":0.013957068740659552,"score_gpt":0.19758361483782097,"score_spread":0.18362654609716142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804943577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98481435,0.000273879,0.00851701,0.0006584587,0.000024207855,0.0001472081,0.0020127306,0.000040539602,0.0035115988],"genre_scores_gemma":[0.9897674,0.00024490803,0.0048592347,0.000063115054,0.000008826823,0.00008095581,0.0011271058,0.000011581282,0.003836939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991358,0.00027494068,0.00003522252,0.00013012184,0.00009985317,0.00032407333],"domain_scores_gemma":[0.99640393,0.0024848774,0.00018462517,0.00006818596,0.0005643477,0.0002941396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016833721,0.0009826233,0.00096327526,0.0013135456,0.0013692387,0.0024371915,0.0024559526,0.001974634,0.0076433998],"category_scores_gemma":[0.0038398162,0.00096239086,0.0019727151,0.002162288,0.00083734083,0.00089429866,0.00093258626,0.0016382516,0.00043524016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072748616,0.0008229516,0.06386553,0.0001868143,0.00024687158,0.00072899665,0.0004506888,0.9076705,0.0010179798,0.011015882,0.0022061188,0.011060167],"study_design_scores_gemma":[0.00004329182,0.00007056491,0.0057089212,0.000011747602,0.0000324012,0.000017762437,0.0005124762,0.9924353,0.00008950389,0.00060821767,0.00044213072,0.000027652834],"about_ca_topic_score_codex":0.91724086,"about_ca_topic_score_gemma":0.88549036,"teacher_disagreement_score":0.08275914,"about_ca_system_score_codex":0.018779121,"about_ca_system_score_gemma":0.011029922,"threshold_uncertainty_score":0.166493},"labels":[],"label_agreement":null},{"id":"W2805404896","doi":"10.1109/tiv.2018.2843126","title":"Electric Vehicle Charging Scheme for a Park-and-Charge System Considering Battery Degradation Costs","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":129,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Battery (electricity); Minification; Mathematical optimization; Benchmark (surveying); Computer science; Job shop scheduling; Degradation (telecommunications); Scheduling (production processes); State of charge; Electric vehicle; Automotive engineering; Power (physics); Operating cost; Reliability engineering; Engineering; Schedule; Mathematics","score_opus":0.01458701445206027,"score_gpt":0.22400848764264306,"score_spread":0.2094214731905828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805404896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1824426,0.000618858,0.8060193,0.00037115935,0.00009112478,0.00018129637,0.00009838206,0.00038888006,0.009788367],"genre_scores_gemma":[0.987432,0.00010474083,0.010937888,0.000021095417,0.000013817715,0.00003305861,0.00003361439,0.000015019915,0.00140894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964595,0.00008212908,0.000020141304,0.00006474049,0.00008111947,0.00010589978],"domain_scores_gemma":[0.99973744,0.00007706312,0.000042481577,0.00002688617,0.00007492129,0.00004122473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047379083,0.00063305965,0.00092680147,0.00033441404,0.00063476095,0.0009935508,0.0010857173,0.00051728403,0.0022274547],"category_scores_gemma":[0.0008003269,0.0002772173,0.00041219473,0.00058719504,0.00030484746,0.00086908834,0.000717339,0.00051753584,0.0002264916],"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":[0.00016444604,0.00007870983,0.0008484885,0.00012205394,0.000027528644,0.00018683201,0.00007440124,0.9463412,0.0041305874,0.006586706,0.0012038762,0.040235177],"study_design_scores_gemma":[0.000010879748,0.00005291785,0.00016799722,0.000001975551,0.000008060836,0.00004161944,0.000025694824,0.99755543,0.00047204696,0.0012248476,0.00043430226,0.000004186807],"about_ca_topic_score_codex":0.0036974838,"about_ca_topic_score_gemma":0.003464609,"teacher_disagreement_score":0.0036974838,"about_ca_system_score_codex":0.0008076609,"about_ca_system_score_gemma":0.0009831786,"threshold_uncertainty_score":0.007451594},"labels":[],"label_agreement":null},{"id":"W2805483609","doi":"10.1109/tii.2018.2845416","title":"Distribution Transformer's Loss of Life Considering Residential Prosumers Owning Solar Shingles, High-Power Fast Chargers and Second-Generation Battery Energy Storage","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"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","keywords":"Photovoltaic system; Automotive engineering; Transformer; Electrical engineering; Distribution transformer; Energy storage; Engineering; Architectural engineering; Reliability engineering; Power (physics); Voltage","score_opus":0.013644068305388092,"score_gpt":0.192349773021837,"score_spread":0.17870570471644892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805483609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92492527,0.0009647128,0.06862615,0.00013629804,0.00003011648,0.000028886938,0.00023639746,0.0000863504,0.0049657593],"genre_scores_gemma":[0.9989624,0.00012607945,0.00038367498,0.0000028648697,0.0000039154093,0.0000035321164,0.000031303312,0.000005854196,0.00048024507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995958,0.00011691607,0.000017295024,0.00007385543,0.00007956007,0.000116551586],"domain_scores_gemma":[0.99904436,0.00054678536,0.0001669853,0.000052895444,0.00014078399,0.000048201502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081958715,0.0006614951,0.00046174973,0.0005727103,0.00033550363,0.0008083709,0.00071062706,0.00064341293,0.0015903565],"category_scores_gemma":[0.0020540045,0.00016741743,0.00064795837,0.0005313415,0.00064762845,0.0013300787,0.00048229317,0.00031507804,0.00016047084],"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":[0.0004104691,0.000043797776,0.015180204,0.000087051616,0.00006767423,0.0008792569,0.00008735083,0.96678716,0.003231659,0.002799435,0.00020464732,0.010221396],"study_design_scores_gemma":[0.0000098350865,0.00023472776,0.008303336,0.000018013696,0.00015067976,0.0006043769,0.00028558425,0.9857621,0.0024894807,0.0017755979,0.0003486585,0.000017454411],"about_ca_topic_score_codex":0.00560542,"about_ca_topic_score_gemma":0.0045601856,"teacher_disagreement_score":0.00560542,"about_ca_system_score_codex":0.0010419739,"about_ca_system_score_gemma":0.0005276476,"threshold_uncertainty_score":0.011145592},"labels":[],"label_agreement":null},{"id":"W2807436562","doi":"10.1109/tia.2018.2870834","title":"An Interactive Decision-Making Model Based on Energy and Reserve for Electric Vehicles and Power Grid Using Generalized Stackelberg Game","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Synthetical Automation for Process Industries; National Natural Science Foundation of China","keywords":"Stackelberg competition; Grid; Computer science; Uniqueness; Mathematical optimization; Game theory; Power (physics); Simulation; Operations research; Engineering; Mathematical economics; Economics; Mathematics","score_opus":0.012834232335742213,"score_gpt":0.27412114469109594,"score_spread":0.26128691235535373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807436562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081456356,0.00048931985,0.8949982,0.0010969584,0.00012655242,0.00027605606,0.0003214389,0.00020785803,0.021027286],"genre_scores_gemma":[0.9594428,0.0004868132,0.032757875,0.00013373811,0.000061380546,0.00035033625,0.00014165856,0.000022794018,0.006602657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975183,0.00096560724,0.00010032404,0.0005420121,0.00039139163,0.0004823924],"domain_scores_gemma":[0.9987596,0.00069591956,0.00018131774,0.000047832556,0.00014248617,0.00017280929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019998632,0.0019429362,0.0016879082,0.0007184942,0.0011341668,0.0030863904,0.0026714785,0.0024337939,0.005184344],"category_scores_gemma":[0.0023362448,0.00073870376,0.0017855495,0.0010010559,0.001620927,0.0036646833,0.0019258132,0.002268968,0.00038462065],"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":[0.00015907706,0.00010676507,0.00085848017,0.00010832988,0.00012918205,0.0006940465,0.00027561962,0.84246886,0.0015066694,0.1464767,0.00092658744,0.0062896605],"study_design_scores_gemma":[0.00005625468,0.000075079915,0.00013760655,0.000010081783,0.000045790897,0.000058349637,0.00006303868,0.95891976,0.00023264188,0.039555013,0.00081742863,0.000028915538],"about_ca_topic_score_codex":0.011345412,"about_ca_topic_score_gemma":0.0077498257,"teacher_disagreement_score":0.011345412,"about_ca_system_score_codex":0.0025882192,"about_ca_system_score_gemma":0.0026497091,"threshold_uncertainty_score":0.022558749},"labels":[],"label_agreement":null},{"id":"W2807847454","doi":"10.1016/j.tra.2018.05.011","title":"The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: A multi-group structural equation approach","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Structural equation modeling; Psychographic; Mindset; Theory of planned behavior; Psychology; Social psychology; Control (management); Marketing; Computer science; Business; Mathematics; Statistics","score_opus":0.08837113948803427,"score_gpt":0.37968326327414315,"score_spread":0.2913121237861089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807847454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979266,0.000054849403,0.0011898675,0.0001970597,0.000026095677,0.000043256907,0.00008071303,0.0000109126995,0.0004706037],"genre_scores_gemma":[0.9983847,0.0000407499,0.00078906293,0.00004335298,0.000011709061,0.000088694396,0.00012972379,0.0000062571485,0.0005058189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934924,0.0041093864,0.0003141789,0.00081390294,0.00045045893,0.00081971945],"domain_scores_gemma":[0.96900594,0.024954652,0.0020490575,0.001621796,0.0009862098,0.0013822673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062394524,0.0012785364,0.001346597,0.0014135399,0.0023852366,0.0029632316,0.0026613227,0.0038874482,0.008662921],"category_scores_gemma":[0.019260209,0.0013789383,0.0037494295,0.0012848354,0.0024635482,0.0021377585,0.003161947,0.0038749417,0.0008543187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021395679,0.0054357657,0.9608497,0.00012825377,0.0024622588,0.00038910806,0.011602333,0.0045768106,0.0014522771,0.0027907502,0.00041581938,0.0077573275],"study_design_scores_gemma":[0.0003987558,0.0028540152,0.91325194,0.00017758382,0.0023786477,0.00024109051,0.014530055,0.059712876,0.001105001,0.004292685,0.0009448407,0.000112389214],"about_ca_topic_score_codex":0.033647064,"about_ca_topic_score_gemma":0.024374695,"teacher_disagreement_score":0.033647064,"about_ca_system_score_codex":0.0017100403,"about_ca_system_score_gemma":0.002750622,"threshold_uncertainty_score":0.0669024},"labels":[],"label_agreement":null},{"id":"W2808276562","doi":"10.1109/tte.2018.2847244","title":"Joint PEV Charging Network and Distributed PV Generation Planning Based on Accelerated Generalized Benders Decomposition","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"State Grid Corporation of China; National Natural Science Foundation of China","keywords":"Renewable energy; Charging station; Photovoltaic system; Automotive engineering; Computer science; Distributed generation; Electric vehicle; Power (physics); Engineering; Reliability engineering; Electrical engineering","score_opus":0.021798896867660008,"score_gpt":0.24239966104077879,"score_spread":0.22060076417311877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808276562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01394998,0.000095405194,0.98252696,0.00010935297,0.000020301048,0.00006528015,0.00009682059,0.00012482192,0.0030110625],"genre_scores_gemma":[0.5853199,0.0003761169,0.40646493,0.00012863049,0.00004529713,0.00045782348,0.00045887518,0.00015824461,0.0065902695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994387,0.00021167983,0.000020250562,0.000115251205,0.00010358379,0.00011059695],"domain_scores_gemma":[0.99950373,0.00027206636,0.000068950125,0.000024459665,0.00007872121,0.000052036456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089741754,0.0014888714,0.0013381917,0.0007181297,0.0004875856,0.0011191075,0.000974833,0.0009890764,0.003298559],"category_scores_gemma":[0.0014433503,0.001035955,0.00139832,0.0009488853,0.0006067727,0.0010197802,0.0011001198,0.0013856739,0.00032889392],"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":[0.000012888591,0.000009222154,0.00011327741,0.000011926389,0.000008379092,0.000018962934,0.000008223658,0.9933728,0.00026118496,0.0029086082,0.00014704636,0.0031274955],"study_design_scores_gemma":[0.0000045783613,0.000012255778,0.00003397458,0.0000019367392,0.0000032234336,0.000004442238,0.000006276699,0.99705565,0.00010857773,0.0025718273,0.00019466778,0.0000025672507],"about_ca_topic_score_codex":0.009648185,"about_ca_topic_score_gemma":0.010285868,"teacher_disagreement_score":0.009648185,"about_ca_system_score_codex":0.0012558916,"about_ca_system_score_gemma":0.0018282945,"threshold_uncertainty_score":0.019184053},"labels":[],"label_agreement":null},{"id":"W2808381999","doi":"10.1155/2018/8301209","title":"Investigation on Range Anxiety and Safety Buffer of Battery Electric Vehicle Drivers","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tsinghua University; National Natural Science Foundation of China","keywords":"Anxiety; Range (aeronautics); Applied psychology; Feeling; Poison control; Psychology; Human factors and ergonomics; Driving range; Simulation; Battery (electricity); Engineering; Social psychology; Power (physics); Environmental health; Medicine","score_opus":0.005035261269452237,"score_gpt":0.18873822476334254,"score_spread":0.18370296349389031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808381999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99950707,0.000046765952,0.0000347376,0.0000213359,0.0000015490218,0.0000048526117,0.000014415227,6.4980554e-7,0.000368513],"genre_scores_gemma":[0.999741,0.000055324308,0.000031047384,0.000011911677,0.0000021883418,0.0000044354233,0.000022021983,3.2430992e-7,0.00013182768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973446,0.00005926314,0.000021368634,0.000030738425,0.00008627672,0.00006792246],"domain_scores_gemma":[0.99923694,0.00017305189,0.00026000966,0.000025390651,0.00016377865,0.00014082038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003287566,0.00017287294,0.0001382906,0.0005970289,0.000477868,0.0006823813,0.0001833136,0.00023989538,0.0009788452],"category_scores_gemma":[0.0017222089,0.00012778708,0.00027927427,0.0002531081,0.00025619223,0.00034216733,0.00038591036,0.00036691473,0.00009236228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001145417,0.00031271926,0.9768435,0.00006738666,0.000042786454,0.00035625912,0.010532873,0.00004487956,0.0018789083,0.00018311689,0.00014596205,0.009477172],"study_design_scores_gemma":[0.000003230259,0.00025592474,0.98573273,0.000014678655,0.000028762222,0.00027852124,0.0127179,0.00015734589,0.00028294887,0.000075319986,0.00044119597,0.000011370359],"about_ca_topic_score_codex":0.006625748,"about_ca_topic_score_gemma":0.0069182212,"teacher_disagreement_score":0.006625748,"about_ca_system_score_codex":0.00032497232,"about_ca_system_score_gemma":0.00039774834,"threshold_uncertainty_score":0.013174355},"labels":[],"label_agreement":null},{"id":"W2810020018","doi":"","title":"Tesla Q4 deliveries down on transport issues","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Automotive industry; Truck; Production (economics); Subsidy; Business; Engineering; Operations management; Agricultural science; Agricultural economics; Economics; Geography; Automotive engineering; Environmental science","score_opus":0.030957518799506336,"score_gpt":0.24794159589689221,"score_spread":0.21698407709738587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810020018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006824541,0.0017004873,0.0020986153,0.14711118,0.03610652,0.00033516306,0.005371912,0.0051738406,0.79527783],"genre_scores_gemma":[0.01587221,0.00053600065,0.00040313802,0.029774921,0.0034495345,0.00010565807,0.0019898142,0.0010680801,0.9468006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99597424,0.0005144911,0.00019035356,0.00036836494,0.0018688714,0.0010836315],"domain_scores_gemma":[0.9888526,0.0010372591,0.0003920691,0.00045438737,0.006991841,0.0022718196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036345841,0.0009862708,0.00030246485,0.001597929,0.0065406966,0.009843845,0.0015155972,0.0061065815,0.41332167],"category_scores_gemma":[0.013892472,0.0005918468,0.00090582314,0.0009136386,0.0010249321,0.0054510194,0.004576881,0.0053253127,0.20565452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016219994,0.000009692821,0.00018418027,0.000029207602,0.0000010158845,0.00009576321,0.00014796747,0.000017261467,0.0001562915,0.0012925086,0.992475,0.005574845],"study_design_scores_gemma":[0.0000042940555,0.000015508369,0.00035207815,0.00002622748,8.3355843e-7,0.00005480484,0.00040806018,0.000018358705,0.00011240088,0.00014442307,0.99885666,0.0000063494904],"about_ca_topic_score_codex":0.025714293,"about_ca_topic_score_gemma":0.026885394,"teacher_disagreement_score":0.41332167,"about_ca_system_score_codex":0.005571222,"about_ca_system_score_gemma":0.008121493,"threshold_uncertainty_score":0.83682543},"labels":[],"label_agreement":null},{"id":"W2810932621","doi":"10.1016/j.gloenvcha.2018.06.008","title":"The demographics of decarbonizing transport: The influence of gender, education, occupation, age, and household size on electric mobility preferences in the Nordic region","year":2018,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":304,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Danmarks Frie Forskningsfond; Simon Fraser University; University of Sussex; University of Manchester; European Commission; Research Councils UK","keywords":"Demographics; Demographic economics; Social mobility; Perception; Discrete choice; Business; Geography; Economics; Psychology; Political science; Demography; Sociology; Econometrics","score_opus":0.017025966114963827,"score_gpt":0.21392069595119445,"score_spread":0.19689472983623063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810932621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986131,0.00010866856,0.000043375636,0.00004926822,0.000003111321,0.0000023185253,0.0001278275,5.045789e-7,0.0010518905],"genre_scores_gemma":[0.99936193,0.00011375634,0.00003881764,0.000016945805,0.0000017474296,0.000002365472,0.00009321119,0.0000010028072,0.00037022558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972016,0.00009049598,0.000025452446,0.000053860433,0.000045727586,0.00006418479],"domain_scores_gemma":[0.9993148,0.000191449,0.0002648257,0.000028809147,0.00009731985,0.000102761034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063900533,0.00009563672,0.00012329424,0.00042461898,0.00040630825,0.0007982366,0.00020165645,0.00018815033,0.0012182293],"category_scores_gemma":[0.0010665165,0.00008564041,0.00018250213,0.00042872617,0.00038218114,0.00050228933,0.00041287325,0.00023977028,0.00015799103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008012863,0.000031951942,0.97474104,0.000031090243,0.000027451646,0.00028072495,0.015037386,0.00025056954,0.0006868674,0.00035051504,0.00039556503,0.008086644],"study_design_scores_gemma":[8.85445e-7,0.000037116988,0.96403795,0.000033710967,0.0000064381716,0.00013256431,0.034049276,0.00014403654,0.0000948093,0.00007295624,0.0013823955,0.000007868844],"about_ca_topic_score_codex":0.054825753,"about_ca_topic_score_gemma":0.10751407,"teacher_disagreement_score":0.054825753,"about_ca_system_score_codex":0.00055789977,"about_ca_system_score_gemma":0.00044858322,"threshold_uncertainty_score":0.10901326},"labels":[],"label_agreement":null},{"id":"W2838323617","doi":"10.1109/isgt.2018.8403393","title":"The impact of EV battery cycle life on charge-discharge optimization in a V2G environment","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"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 Regina","funders":"","keywords":"Battery (electricity); Vehicle-to-grid; Charge cycle; Renewable energy; Electricity pricing; Electricity; Depth of discharge; Scheduling (production processes); Automotive engineering; State of charge; Computer science; Grid; Greenhouse gas; Electric vehicle; Power (physics); Engineering; Reliability engineering; Electrical engineering; Trickle charging; Electricity market; Operations management","score_opus":0.00413315756805585,"score_gpt":0.1979361520660887,"score_spread":0.19380299449803284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2838323617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8804925,0.0007390638,0.111600645,0.0005182772,0.000029937477,0.00006258303,0.00018498828,0.00014274039,0.0062293876],"genre_scores_gemma":[0.99297535,0.00010754165,0.0062695662,0.000026483214,0.0000030155477,0.000011710996,0.000040388317,0.000015506235,0.00055056514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979407,0.00008611474,0.000006126933,0.000026629697,0.000037049464,0.00005006954],"domain_scores_gemma":[0.9987212,0.0010056363,0.00009030302,0.000026378357,0.000112611364,0.000043916763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096264394,0.0005502014,0.0005519134,0.0003222893,0.00035857197,0.0008089696,0.00047336041,0.0009062345,0.00074200286],"category_scores_gemma":[0.003449725,0.00037559166,0.00036938392,0.00033852458,0.0003992675,0.0007597321,0.00032961523,0.00057454244,0.000067050925],"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":[0.00001901892,0.000009480642,0.0006078114,0.0000073077204,0.000003858243,0.000013752443,0.0000048192032,0.99728096,0.00014391718,0.00027364155,0.000046901594,0.0015884775],"study_design_scores_gemma":[0.0000033208808,0.00002428407,0.00031151867,0.000002152957,0.0000031677216,0.0000070962096,0.000006587125,0.9990388,0.00023797133,0.00030179718,0.000060940325,0.0000023533707],"about_ca_topic_score_codex":0.016597684,"about_ca_topic_score_gemma":0.0112302555,"teacher_disagreement_score":0.016597684,"about_ca_system_score_codex":0.0010984443,"about_ca_system_score_gemma":0.0011833169,"threshold_uncertainty_score":0.03300214},"labels":[],"label_agreement":null},{"id":"W285748601","doi":"10.3390/wevj3030482","title":"U.S. Department of Energy – Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicle Testing and Demonstration Activities","year":2009,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Dynamometer; Automotive engineering; Gallon (US); Battery electric vehicle; Plug-in; Engineering; Fuel efficiency; Driving range; Electric vehicle; Battery (electricity); Battery pack; Computer science; Waste management; Power (physics)","score_opus":0.007124278054523762,"score_gpt":0.20228793976777823,"score_spread":0.19516366171325447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W285748601","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035557363,0.0036925082,0.011468633,0.021768272,0.0048574475,0.0030958476,0.12379645,0.003957705,0.79180574],"genre_scores_gemma":[0.27083263,0.010529633,0.041029472,0.01651437,0.0005873094,0.002602648,0.14095451,0.0009997347,0.51594967],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9932596,0.00048567966,0.00023122136,0.00045875536,0.0049771336,0.0005875191],"domain_scores_gemma":[0.99137795,0.00082577363,0.00024921785,0.00049092557,0.0067108483,0.00034533287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033274624,0.0016491109,0.001049575,0.0029004414,0.0030512752,0.0028553405,0.0020769215,0.003394092,0.02848611],"category_scores_gemma":[0.0038936906,0.0006508683,0.0007434573,0.0030075826,0.00085296645,0.0015972051,0.0010000727,0.0020516182,0.0099074375],"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":[0.00055716326,0.0024612166,0.016525907,0.00043750036,0.0001979852,0.00049763574,0.00019891653,0.0032258055,0.014081834,0.015961833,0.82781935,0.11803482],"study_design_scores_gemma":[0.00015083846,0.0005530981,0.015182518,0.0001768221,0.000114488954,0.0001656589,0.000333478,0.0026797752,0.009138674,0.0011506275,0.9702331,0.000120852616],"about_ca_topic_score_codex":0.1937127,"about_ca_topic_score_gemma":0.23325963,"teacher_disagreement_score":0.1937127,"about_ca_system_score_codex":0.0054126186,"about_ca_system_score_gemma":0.018403701,"threshold_uncertainty_score":0.38517034},"labels":[],"label_agreement":null},{"id":"W2883477413","doi":"10.1109/tpwrs.2018.2856283","title":"Eliciting Multi-Dimensional Flexibilities From Electric Vehicles: A Mechanism Design Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"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 Toronto","funders":"","keywords":"Flexibility (engineering); Computer science; Benchmark (surveying); Dual (grammatical number); Mechanism design; Implementation; Mechanism (biology); Mathematical optimization; Electric power system; Power (physics); Economics; Microeconomics; Mathematics","score_opus":0.018728752873823744,"score_gpt":0.21374773666706043,"score_spread":0.19501898379323668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883477413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018309366,0.000266292,0.9771787,0.00039434922,0.00004329187,0.00022288859,0.00005144823,0.00007650909,0.0034571989],"genre_scores_gemma":[0.79848546,0.00053184753,0.19731897,0.00026368405,0.00008712294,0.00088685565,0.00006419749,0.000031346284,0.0023305782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948549,0.0035158747,0.00021639132,0.0005045394,0.0005663111,0.000341915],"domain_scores_gemma":[0.99015474,0.0072362404,0.0010767482,0.0007153781,0.0004000441,0.00041691138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075756526,0.0018790487,0.0015765977,0.0010652458,0.0006542893,0.0023291449,0.002511043,0.0025854143,0.00301772],"category_scores_gemma":[0.014171973,0.0008469526,0.0016625955,0.0009962654,0.0020661268,0.0034159755,0.0025885296,0.0027606715,0.00026524218],"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":[0.0002943474,0.000275732,0.00069689145,0.00031412736,0.00017066809,0.00024489217,0.00012380304,0.7685458,0.004792884,0.19995467,0.00094684627,0.023639383],"study_design_scores_gemma":[0.00018182852,0.00026974603,0.00011496164,0.0000368533,0.00004747951,0.00015092643,0.00004355066,0.8969307,0.0013301178,0.09953856,0.0013165706,0.000038758226],"about_ca_topic_score_codex":0.0003719318,"about_ca_topic_score_gemma":0.00038417923,"teacher_disagreement_score":0.0075756526,"about_ca_system_score_codex":0.0015683456,"about_ca_system_score_gemma":0.0020513574,"threshold_uncertainty_score":0.040064335},"labels":[],"label_agreement":null},{"id":"W2884269146","doi":"10.1109/tste.2018.2857764","title":"Flexibility Provisions From a Fast Charging Facility Equipped With DERs for Wind Integrated Grids","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"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 Waterloo","funders":"Majmaah University","keywords":"Wind power; Flexibility (engineering); Distributed generation; Photovoltaic system; Energy storage; Automotive engineering; Reliability engineering; Computer science; Engineering; Renewable energy; Power (physics); Electrical engineering; Economics","score_opus":0.007338052891832092,"score_gpt":0.20966276624896887,"score_spread":0.20232471335713678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884269146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030883573,0.00025982442,0.9526775,0.0003239787,0.00007159517,0.000091933776,0.00014359025,0.00018949286,0.015358506],"genre_scores_gemma":[0.96338606,0.00027107893,0.029758673,0.000060318318,0.000029563858,0.00012192702,0.00006376682,0.00002821573,0.00628034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961674,0.00012956394,0.000010710486,0.000055745437,0.0001174339,0.00006980758],"domain_scores_gemma":[0.9997378,0.00011842471,0.000055905155,0.000017122358,0.00005045584,0.000020355423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062414806,0.0009453434,0.00068434054,0.00035448026,0.000469691,0.0011572333,0.0011651841,0.0011975449,0.0035205185],"category_scores_gemma":[0.0010874014,0.0005052494,0.00083308225,0.00038086885,0.0006083287,0.0012975959,0.00090029347,0.0010933991,0.00028228425],"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":[0.000029030138,0.000011772369,0.00012106209,0.000027085709,0.000006467549,0.00010670027,0.000014673463,0.9830329,0.00078073674,0.012036383,0.00030189057,0.003531317],"study_design_scores_gemma":[0.000009962863,0.000036558453,0.000043662574,0.000005143519,0.0000060815396,0.000029721186,0.000009329053,0.99693716,0.00017652189,0.0021264045,0.0006143655,0.0000050628587],"about_ca_topic_score_codex":0.0037077903,"about_ca_topic_score_gemma":0.0036689988,"teacher_disagreement_score":0.0037077903,"about_ca_system_score_codex":0.0010489587,"about_ca_system_score_gemma":0.0009047187,"threshold_uncertainty_score":0.011777282},"labels":[],"label_agreement":null},{"id":"W2884513606","doi":"10.1115/1.2013-sep-2","title":"Cars Without Combustion","year":2013,"lang":"en","type":"article","venue":"Mechanical Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fuel cells; Combustion; Hydrogen fuel; Environmental science; Waste management; Engineering; Chemical engineering; Chemistry","score_opus":0.0035291236693146986,"score_gpt":0.16579282616179414,"score_spread":0.16226370249247943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884513606","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032280441,0.015784513,0.004702845,0.0065726326,0.005372521,0.000054785363,0.0005273385,0.00043497316,0.96332234],"genre_scores_gemma":[0.100954086,0.024249941,0.004955086,0.0061490075,0.0020366134,0.00009244016,0.0012298847,0.00024419065,0.8600888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999275,0.000037861446,0.000016553413,0.00011873543,0.0004526243,0.000099141515],"domain_scores_gemma":[0.9997955,0.000023230368,0.000012729397,0.000037232076,0.0001062201,0.00002505648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022644064,0.00080225326,0.0003939162,0.0007474458,0.0018706367,0.002674093,0.0007242154,0.0019095625,0.08850733],"category_scores_gemma":[0.0008912656,0.00025050517,0.0005695267,0.0005369198,0.0008777054,0.0032226222,0.0018555508,0.0016181798,0.039573245],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007286008,0.00005624164,0.0008543565,0.00039295413,0.00002121314,0.000520707,0.00035576333,0.0012244898,0.0027961093,0.56903416,0.20216489,0.22250623],"study_design_scores_gemma":[0.0000028314757,0.000016265654,0.00022335019,0.00003965306,0.0000030759454,0.00018485099,0.00006726051,0.00016412459,0.0004343201,0.005605198,0.993252,0.0000070994893],"about_ca_topic_score_codex":0.008794284,"about_ca_topic_score_gemma":0.0077261482,"teacher_disagreement_score":0.08850733,"about_ca_system_score_codex":0.001114356,"about_ca_system_score_gemma":0.0010725745,"threshold_uncertainty_score":0.2960865},"labels":[],"label_agreement":null},{"id":"W2888044787","doi":"10.1016/j.trd.2018.08.002","title":"Modeling the demand for electric mobility in the Canadian rental vehicle market","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; Canada Foundation for Innovation","keywords":"Renting; Electric vehicle; Discrete choice; Driving range; Powertrain; Occupancy; Battery electric vehicle; Respondent; Business; Electric cars; Population; Incentive; Latent class model; Automotive engineering; Economics; Computer science; Engineering; Econometrics; Microeconomics","score_opus":0.021887416533804615,"score_gpt":0.2505299874160992,"score_spread":0.22864257088229462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888044787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937325,0.00069721165,0.007198277,0.0034632569,0.000082243365,0.00008959587,0.0032372435,0.00010344533,0.047803678],"genre_scores_gemma":[0.9785533,0.00032671145,0.001126925,0.0001117531,0.000022612398,0.000024627054,0.00074292725,0.00002654642,0.019064618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995239,0.00006210079,0.000010387253,0.000057602138,0.000057818095,0.00028823406],"domain_scores_gemma":[0.9990501,0.00046129516,0.00007083432,0.000024244358,0.00021525481,0.00017834635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086451805,0.0009157293,0.0008821952,0.0008643669,0.001599213,0.003477411,0.0027014846,0.0023779904,0.011819072],"category_scores_gemma":[0.0027160444,0.00085673906,0.0012429648,0.0014121803,0.0011042046,0.0015463135,0.0007819836,0.0019827196,0.00050718675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021213047,0.00014731733,0.008540111,0.000059073816,0.00004432702,0.00021214645,0.0001366881,0.9510734,0.0005407062,0.03122623,0.0045660813,0.0032419304],"study_design_scores_gemma":[0.000034616198,0.00002458904,0.0035203504,0.000009941354,0.000029100656,0.000013896849,0.000408614,0.99171,0.00010412385,0.0023457354,0.0017647387,0.000034396933],"about_ca_topic_score_codex":0.9652542,"about_ca_topic_score_gemma":0.9570471,"teacher_disagreement_score":0.034745812,"about_ca_system_score_codex":0.025203735,"about_ca_system_score_gemma":0.014990121,"threshold_uncertainty_score":0.18286675},"labels":[],"label_agreement":null},{"id":"W2888201140","doi":"10.1109/tdc.2018.8440461","title":"Plug-in Electric Vehicle Planning Toward DDPP Constrained by Electricity Grid Limitation","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Penetration (warfare); Grid; Electricity; Electric vehicle; Market penetration; Electrical engineering; Computer science; Automotive engineering; Engineering; Operations research; Power (physics); Physics; Mathematics","score_opus":0.008507603353487598,"score_gpt":0.2131532273492689,"score_spread":0.2046456239957813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888201140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18980208,0.00043172637,0.78557503,0.0008008975,0.000058995338,0.00023800555,0.00079723506,0.00044398612,0.02185205],"genre_scores_gemma":[0.96021026,0.00016276112,0.033761624,0.000058091133,0.000011185975,0.00013228928,0.00025866277,0.00004639134,0.005358679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971646,0.00011252274,0.00000873155,0.000053895168,0.000038485894,0.00006992968],"domain_scores_gemma":[0.99953103,0.00025968047,0.000061311046,0.000019033892,0.00007219096,0.00005667133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077956705,0.00085472706,0.0009842804,0.00045107774,0.00032412546,0.0012463626,0.00084688317,0.00085589703,0.0031917868],"category_scores_gemma":[0.0014224092,0.00075896183,0.0005884054,0.0005955918,0.00061609776,0.0006379772,0.0009934674,0.0009315113,0.00022608058],"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":[0.000022586652,0.000006748368,0.00012594987,0.000013855365,0.000005531662,0.000036752874,0.000010085655,0.99627066,0.00010968856,0.0018284793,0.00015312967,0.0014165018],"study_design_scores_gemma":[0.000005015396,0.0000125650595,0.00004894939,0.0000025514807,0.0000032618723,0.000004204972,0.000013557826,0.998145,0.00007740522,0.0015279263,0.00015797772,0.0000015605996],"about_ca_topic_score_codex":0.025132703,"about_ca_topic_score_gemma":0.019733941,"teacher_disagreement_score":0.025132703,"about_ca_system_score_codex":0.001668532,"about_ca_system_score_gemma":0.002568596,"threshold_uncertainty_score":0.049972832},"labels":[],"label_agreement":null},{"id":"W2888601510","doi":"10.3390/wevj9030038","title":"Policy Considerations for Zero-Emission Vehicle Infrastructure Incentives: Case Study in Canada","year":2018,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Zero emission; Incentive; Greenhouse gas; Electricity; Hydrogen vehicle; Electric vehicle; Business; Environmental economics; Environmental science; Transport engineering; Engineering; Economics; Fuel cells; Waste management; Hydrogen fuel","score_opus":0.007927858663552929,"score_gpt":0.2377418614560389,"score_spread":0.22981400279248598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888601510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9015458,0.0009837815,0.002420578,0.004533965,0.00004343521,0.00055780134,0.0017303206,0.000067053756,0.08811723],"genre_scores_gemma":[0.98440385,0.0010571382,0.0027854461,0.0004665494,0.000009067623,0.00007160541,0.00041555244,0.000014846292,0.010776057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997764,0.00040307536,0.000045347166,0.000110956404,0.0005690997,0.0011074588],"domain_scores_gemma":[0.9977034,0.0006911237,0.00013131106,0.000055488246,0.0010263853,0.0003923115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011773013,0.00041927825,0.00035976473,0.0008955807,0.0055940403,0.0021794776,0.0013426073,0.0015798166,0.0027234086],"category_scores_gemma":[0.003230692,0.0002861229,0.00075652037,0.0027489902,0.0011367248,0.00075872167,0.00094735454,0.0012551466,0.00014293389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014515463,0.0023438146,0.31787953,0.0016564238,0.0006177435,0.022461506,0.012464353,0.26146162,0.009863225,0.16713083,0.07221435,0.1304551],"study_design_scores_gemma":[0.0011455109,0.0014024953,0.35778132,0.0007340481,0.0011370438,0.002756329,0.12496002,0.23248641,0.008260333,0.01805958,0.25065634,0.00062056986],"about_ca_topic_score_codex":0.99518764,"about_ca_topic_score_gemma":0.9974861,"teacher_disagreement_score":0.07674352,"about_ca_system_score_codex":0.07674352,"about_ca_system_score_gemma":0.086117715,"threshold_uncertainty_score":0.55681586},"labels":[],"label_agreement":null},{"id":"W2888839008","doi":"10.1155/2018/4831951","title":"Improving Electric Vehicle Charging Station Efficiency through Pricing","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Charging station; Idle; Transport engineering; Point (geometry); Preference; Automotive engineering; Computer science; Engineering; Economics; Microeconomics; Mathematics","score_opus":0.003768838519145806,"score_gpt":0.21109436898017558,"score_spread":0.20732553046102978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888839008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94951725,0.00029067943,0.03700806,0.00047703917,0.00003382438,0.000114524664,0.00007079311,0.00010877778,0.01237909],"genre_scores_gemma":[0.9954739,0.00006520045,0.003853157,0.000024427212,0.0000070818137,0.000014195561,0.00001852326,0.0000063194716,0.00053707464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724776,0.0016282927,0.000116595606,0.00017492227,0.0005060269,0.00032625912],"domain_scores_gemma":[0.9937388,0.004105635,0.000756576,0.00058537023,0.00066543266,0.00014819404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022635714,0.0003462838,0.00033098317,0.000553368,0.00023123776,0.0013583777,0.0008411213,0.00062955637,0.0031387855],"category_scores_gemma":[0.015889084,0.0001523318,0.000416106,0.001225236,0.00039416828,0.001682511,0.00078004925,0.0005304056,0.0003482231],"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":[0.00093305483,0.0029232388,0.08504772,0.00062730303,0.0002788862,0.000306079,0.0012449252,0.35992402,0.02475787,0.046686303,0.0025266767,0.47474384],"study_design_scores_gemma":[0.00034556366,0.0035165935,0.15947856,0.00014639944,0.00051608786,0.00040500824,0.00281924,0.7282273,0.02754105,0.06032649,0.016479032,0.00019861487],"about_ca_topic_score_codex":0.0018062029,"about_ca_topic_score_gemma":0.0015973274,"teacher_disagreement_score":0.0031387855,"about_ca_system_score_codex":0.0007442126,"about_ca_system_score_gemma":0.0005928868,"threshold_uncertainty_score":0.011971056},"labels":[],"label_agreement":null},{"id":"W2889347098","doi":"10.1109/ccece.2018.8447676","title":"A Novel Unscented Transformation-Based Framework for Distribution Network Expansion Planning Considering Smart EV Parking Lots","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Saskatchewan","funders":"","keywords":"Computer science; Transformation (genetics); Convergence (economics); Mathematical optimization; Context (archaeology); Node (physics); Linear programming; Integer programming; Parking lot; Electric power system; Operations research; Power (physics); Engineering; Algorithm; Mathematics","score_opus":0.014900503868983861,"score_gpt":0.23941187835769318,"score_spread":0.2245113744887093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889347098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019117387,0.00007990111,0.99581283,0.00005216419,0.000016106385,0.00002467476,0.000045648965,0.0000846433,0.0019722348],"genre_scores_gemma":[0.48429966,0.0005786943,0.50859946,0.00011749769,0.00008729314,0.00041255544,0.00049357256,0.00019764953,0.005213611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995189,0.0001653554,0.000017183333,0.00008959303,0.00013582387,0.00007318181],"domain_scores_gemma":[0.99958795,0.00018965894,0.00006199643,0.000023468483,0.00009968043,0.000037266043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087489653,0.0011534024,0.0011345115,0.00076213374,0.00044172007,0.0012500468,0.0016019631,0.0008549071,0.0038910618],"category_scores_gemma":[0.0012999461,0.00067724974,0.001145354,0.0012712302,0.00074007455,0.0011020005,0.0011708406,0.0013007778,0.00046959182],"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":[0.000009948619,0.00001266385,0.00010227764,0.00002471251,0.000009456984,0.0000424577,0.000018787488,0.98281085,0.0003279649,0.00831724,0.00039652246,0.007927019],"study_design_scores_gemma":[0.0000023330406,0.000007971267,0.000017188457,0.0000025128124,0.0000021824073,0.0000052730743,0.0000045942156,0.99726856,0.000076293785,0.0022220404,0.0003887769,0.000002315556],"about_ca_topic_score_codex":0.0124081215,"about_ca_topic_score_gemma":0.013319017,"teacher_disagreement_score":0.0124081215,"about_ca_system_score_codex":0.0011214162,"about_ca_system_score_gemma":0.002019014,"threshold_uncertainty_score":0.024671793},"labels":[],"label_agreement":null},{"id":"W2889445225","doi":"10.1109/itec.2018.8450195","title":"Modeling EV fleet Load in Distribution Grids: A Data-Driven Approach","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Power (physics); Electric vehicle; Work (physics); Automotive engineering; Vehicle dynamics; Port (circuit theory); Stochastic modelling; Simulation; Real-time computing; Electrical engineering; Engineering; Statistics; Mathematics","score_opus":0.017677050552827773,"score_gpt":0.22580370647238138,"score_spread":0.2081266559195536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889445225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09283269,0.00015489919,0.9003899,0.00053179945,0.000049304457,0.00009053122,0.0011522844,0.00042759907,0.0043709623],"genre_scores_gemma":[0.9415726,0.0002598461,0.053573616,0.00006811917,0.000042950007,0.0001678672,0.0008611533,0.000093249066,0.003360573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997193,0.00008974373,0.000018584666,0.0000747649,0.00006462253,0.000033005803],"domain_scores_gemma":[0.9993507,0.00037334225,0.00009125531,0.00005196814,0.0000994022,0.000033343484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072125957,0.0006951533,0.0005521975,0.0007002008,0.00032632097,0.000963276,0.001394931,0.00087822985,0.0011636484],"category_scores_gemma":[0.0020130149,0.00060681324,0.0007995097,0.000717189,0.00040284335,0.0013653666,0.000551911,0.00085969316,0.00024502815],"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":[0.0000060046796,0.000009088664,0.0007204349,0.000007665935,0.000007374508,0.000027618024,0.000011934877,0.99464405,0.00015950289,0.0022126355,0.00013744489,0.0020562764],"study_design_scores_gemma":[6.0241723e-7,0.0000019553847,0.000074119715,9.170168e-7,0.0000011992979,0.0000034802795,0.0000042457136,0.99900454,0.00004270552,0.0007540147,0.00011086004,0.0000013755789],"about_ca_topic_score_codex":0.016077494,"about_ca_topic_score_gemma":0.013297566,"teacher_disagreement_score":0.016077494,"about_ca_system_score_codex":0.0011379388,"about_ca_system_score_gemma":0.0008165665,"threshold_uncertainty_score":0.03196782},"labels":[],"label_agreement":null},{"id":"W2889458342","doi":"10.1109/ccece.2018.8447806","title":"Goodness of Fit Statistical Analysis for Different Variables of PEV Driver Behaviour","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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 Waterloo","funders":"","keywords":"Goodness of fit; Random variable; Probability density function; Computer science; Variable (mathematics); Sample (material); Cumulative distribution function; Variables; Probability distribution; Statistical hypothesis testing; Plug-in; Statistics; Mathematics; Machine learning","score_opus":0.009899654388293587,"score_gpt":0.23438963588503886,"score_spread":0.22448998149674526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889458342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7775289,0.00078510167,0.2146247,0.00033257602,0.00015402278,0.00031091305,0.002091154,0.0009894214,0.003183294],"genre_scores_gemma":[0.9794127,0.00010728598,0.017939098,0.000048749826,0.00002896861,0.00017697664,0.0018196409,0.0001103218,0.00035628554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.98863155,0.005429353,0.00076501194,0.0020200522,0.0025787062,0.00057532685],"domain_scores_gemma":[0.78782463,0.18066251,0.007232494,0.01344148,0.0097803855,0.0010584705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029197754,0.0010620564,0.001154368,0.0035474692,0.00079180236,0.0016639322,0.0017093485,0.0018533618,0.002963319],"category_scores_gemma":[0.12936583,0.0003141,0.0022400334,0.002756209,0.0017546195,0.0026222926,0.0012896445,0.0015839518,0.0005960381],"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":[0.0025316726,0.0006936625,0.21574551,0.0005297641,0.0016852712,0.00067053677,0.0010265799,0.6276232,0.0035780263,0.017358597,0.004113782,0.12444343],"study_design_scores_gemma":[0.00008446945,0.0016840182,0.12860444,0.00011867573,0.00025184226,0.0009515156,0.0008828089,0.8498434,0.004237139,0.010633943,0.0025297976,0.00017792876],"about_ca_topic_score_codex":0.002866052,"about_ca_topic_score_gemma":0.0017571469,"teacher_disagreement_score":0.029197754,"about_ca_system_score_codex":0.0010890855,"about_ca_system_score_gemma":0.00092519925,"threshold_uncertainty_score":0.1544143},"labels":[],"label_agreement":null},{"id":"W2889472262","doi":"10.1109/iwcmc.2018.8450489","title":"Deployment of Secure EV Charging System Using Open Charge Point Protocol","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":27,"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 Ottawa","funders":"","keywords":"Software deployment; Interoperability; Smart grid; Protocol (science); Computer science; Electric vehicle; Telecommunications; Electrical engineering; Power (physics); Engineering; Operating system","score_opus":0.014573062297490972,"score_gpt":0.2605801794431008,"score_spread":0.24600711714560983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889472262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38019523,0.0008432443,0.53310496,0.0012822,0.0007210745,0.0011746278,0.00044433223,0.025846098,0.05638816],"genre_scores_gemma":[0.9722906,0.00016290658,0.01963498,0.0001212958,0.00004033263,0.00017722764,0.00028311906,0.00008231019,0.007207328],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992046,0.00013572897,0.000080811835,0.00011335347,0.000317621,0.00014788],"domain_scores_gemma":[0.9995147,0.000042527234,0.00004636477,0.00014613183,0.00019630948,0.00005393838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045965414,0.0003493961,0.00038896262,0.00049528095,0.00053729635,0.000820188,0.00093592424,0.0006422924,0.004075248],"category_scores_gemma":[0.00085437373,0.00016365982,0.00022960782,0.00029467267,0.00030794236,0.0013902845,0.0016833392,0.00054311287,0.0015748544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024527584,0.0007843032,0.023582516,0.000996114,0.00022491028,0.007520193,0.0020684446,0.057354476,0.23410797,0.08519691,0.065934725,0.5197767],"study_design_scores_gemma":[0.00041772067,0.0014131214,0.0077315415,0.00011241094,0.00016101218,0.003877858,0.0007181095,0.5629306,0.2573677,0.011894768,0.15317675,0.00019852302],"about_ca_topic_score_codex":0.00083135033,"about_ca_topic_score_gemma":0.00039644516,"teacher_disagreement_score":0.004075248,"about_ca_system_score_codex":0.00029293794,"about_ca_system_score_gemma":0.00052160595,"threshold_uncertainty_score":0.013633072},"labels":[],"label_agreement":null},{"id":"W2890573085","doi":"10.3390/en11092433","title":"Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":87,"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":"Renewable energy; Photovoltaic system; Greenhouse gas; Environmental science; Automotive engineering; Solar energy; Environmental engineering; Environmental pollution; Energy storage; Electric vehicle; Natural gas; Environmental economics; Engineering; Waste management; Power (physics); Electrical engineering; Environmental protection","score_opus":0.0029390874311556615,"score_gpt":0.15680880721549856,"score_spread":0.15386971978434288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890573085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8602133,0.0012337804,0.038906246,0.000841781,0.000089312474,0.00017507626,0.0015480816,0.0002227598,0.096769646],"genre_scores_gemma":[0.9937303,0.00017598596,0.0018996301,0.00002151479,0.0000024605447,0.000042841697,0.00020300338,0.00001717597,0.003907161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987996,0.00003579828,0.0000045682905,0.000020102034,0.000024477999,0.00003519508],"domain_scores_gemma":[0.9998938,0.000050899096,0.000009308783,0.000003836022,0.00003067061,0.000011527614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021424003,0.0005837915,0.0006023607,0.00040026178,0.00061146385,0.0013593781,0.00047449794,0.0009151851,0.007294773],"category_scores_gemma":[0.00040200818,0.00033010458,0.00065251795,0.00058722275,0.00022528593,0.00043895954,0.00044560203,0.000496624,0.0005071809],"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":[0.00007214917,0.0000328431,0.0015155397,0.00007399198,0.000020423613,0.00017268924,0.000024440555,0.9904896,0.0014679873,0.00088847417,0.0008358415,0.0044060033],"study_design_scores_gemma":[0.00003836345,0.00017964211,0.0035597885,0.000017433866,0.000038715698,0.00004211898,0.0002702777,0.99185866,0.0012231568,0.00085262273,0.0019017012,0.000017395087],"about_ca_topic_score_codex":0.032132924,"about_ca_topic_score_gemma":0.043102264,"teacher_disagreement_score":0.032132924,"about_ca_system_score_codex":0.0014776567,"about_ca_system_score_gemma":0.00081861933,"threshold_uncertainty_score":0.06389177},"labels":[],"label_agreement":null},{"id":"W2893320833","doi":"10.1109/isgt-asia.2018.8467822","title":"Privacy Preservation Needed for Smart Meter System: A Methodology to Recognize Electric Vehicle (EV) Models","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":"McGill University","funders":"","keywords":"Smart meter; Computer science; Smart grid; Metering mode; Decision tree; Key (lock); Focus (optics); Data mining; Electric vehicle; Process (computing); Information privacy; Set (abstract data type); Data modeling; Artificial intelligence; Machine learning; Engineering; Computer security; Database","score_opus":0.05943772026961627,"score_gpt":0.26952153832007913,"score_spread":0.21008381805046286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893320833","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046579237,0.000032898122,0.9944982,0.00011796583,0.000012808044,0.000023343526,0.00002561754,0.0002513026,0.00037997018],"genre_scores_gemma":[0.27450913,0.00008621435,0.7232667,0.00012313649,0.000059276128,0.00008887884,0.00014559117,0.000066876804,0.0016540958],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985524,0.0003955955,0.00010740275,0.00042992822,0.0004020845,0.000112561196],"domain_scores_gemma":[0.997531,0.000783341,0.00035974677,0.00089830527,0.00034464488,0.00008306354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020474654,0.00043858666,0.000534117,0.00082393474,0.00068727153,0.0013529751,0.0010149069,0.0009019868,0.0012851463],"category_scores_gemma":[0.0065136557,0.0003637428,0.0008705731,0.0006116043,0.00089089834,0.002340078,0.0010481108,0.0017361838,0.0004920374],"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":[0.00021961733,0.0002898813,0.0070183673,0.00011253083,0.00013829563,0.0003535081,0.0008163657,0.11897997,0.040881205,0.11456078,0.00415084,0.71247864],"study_design_scores_gemma":[0.000016366683,0.00010797304,0.0010536212,0.00001824965,0.000032982185,0.00045179107,0.00012948673,0.89701587,0.03417288,0.059625097,0.007341354,0.000034277862],"about_ca_topic_score_codex":0.00086585357,"about_ca_topic_score_gemma":0.0009749352,"teacher_disagreement_score":0.0020474654,"about_ca_system_score_codex":0.00071426795,"about_ca_system_score_gemma":0.0010089999,"threshold_uncertainty_score":0.010828137},"labels":[],"label_agreement":null},{"id":"W2893784102","doi":"","title":"Modeling and solving the electric vehicle routing problem with nonlinear charging functions and capacitated charging stations","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Laval","funders":"","keywords":"Electric vehicle; Nonlinear system; Computer science; Vehicle routing problem; Routing (electronic design automation); Charging station; Mathematical optimization; Automotive engineering; Engineering; Computer network; Mathematics; Power (physics); Physics","score_opus":0.007988399365380715,"score_gpt":0.18936345932632867,"score_spread":0.18137505996094797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893784102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10150187,0.00060445134,0.8805673,0.0010291747,0.00013391546,0.00006278634,0.00025219086,0.0001744699,0.015673926],"genre_scores_gemma":[0.930007,0.00049990264,0.05003276,0.000119186785,0.00007944095,0.000109074856,0.0002379215,0.0000871708,0.018827507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997782,0.00007101411,0.000008684097,0.00005675989,0.000038130926,0.000047162797],"domain_scores_gemma":[0.9993974,0.00040433728,0.00006446615,0.000024701927,0.00008032121,0.000028849581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000580995,0.0009200594,0.0007887152,0.00038705269,0.0003380656,0.0013049484,0.0011538798,0.001829723,0.0026428795],"category_scores_gemma":[0.0019739978,0.0007192971,0.0008517121,0.00058194046,0.00080517237,0.0010834071,0.0007930173,0.0013051248,0.00023168731],"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":[0.000007664386,0.000006664221,0.00008170965,0.000013858282,0.0000042449615,0.000015393354,0.000006764946,0.9960757,0.00010590698,0.0027020485,0.000107251784,0.0008727553],"study_design_scores_gemma":[0.0000025296047,0.0000034763993,0.000026410922,0.000001191705,0.0000018161179,0.0000029282398,0.0000056899607,0.99808866,0.00004724493,0.0017095013,0.00010884561,0.0000016166202],"about_ca_topic_score_codex":0.021444835,"about_ca_topic_score_gemma":0.013503727,"teacher_disagreement_score":0.021444835,"about_ca_system_score_codex":0.0010410274,"about_ca_system_score_gemma":0.0017177844,"threshold_uncertainty_score":0.04264003},"labels":[],"label_agreement":null},{"id":"W2894340742","doi":"10.1155/2018/5741982","title":"Ant Colony Optimized Routing Strategy for Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Ant colony optimization algorithms; Energy consumption; Routing (electronic design automation); Range (aeronautics); Energy (signal processing); Automotive engineering; Computer science; Electric vehicle; Fuel efficiency; Efficient energy use; Vehicle routing problem; Engineering; Simulation; Embedded system; Electrical engineering; Algorithm; Mathematics","score_opus":0.007279859527184957,"score_gpt":0.23633137529673665,"score_spread":0.22905151576955168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894340742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040003374,0.002008089,0.92525697,0.0005393919,0.00027809147,0.00012815096,0.00010979317,0.0004121689,0.031264007],"genre_scores_gemma":[0.8597752,0.0012432127,0.12246822,0.00016014607,0.000052176096,0.00018298937,0.00015745,0.000087385684,0.015873304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982554,0.000058330195,0.000008197765,0.00003282773,0.00005276946,0.00002234653],"domain_scores_gemma":[0.99987066,0.000040477476,0.000022553637,0.000008034349,0.000047512982,0.000010733362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019101011,0.00065911596,0.0004894767,0.00037415128,0.0003205286,0.0006565683,0.0007036361,0.0005206664,0.0019786006],"category_scores_gemma":[0.00048556016,0.00022965578,0.00036057818,0.0005122586,0.00029599998,0.00052955595,0.0003598685,0.00040494176,0.00033069958],"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":[0.000022263426,0.000019091942,0.00013400533,0.00004547534,0.000015521757,0.000056077213,0.000020755735,0.9671532,0.0016430283,0.008227855,0.0015799041,0.021082884],"study_design_scores_gemma":[0.0000050123745,0.000017203167,0.00004289681,0.0000030947178,0.000004416471,0.000014331299,0.000008308055,0.9965063,0.00018219734,0.0019788616,0.0012343577,0.000003003591],"about_ca_topic_score_codex":0.0062474078,"about_ca_topic_score_gemma":0.004460998,"teacher_disagreement_score":0.0062474078,"about_ca_system_score_codex":0.0006378839,"about_ca_system_score_gemma":0.0007627492,"threshold_uncertainty_score":0.012422085},"labels":[],"label_agreement":null},{"id":"W2896990752","doi":"10.5430/bmr.v7n4p9","title":"The Effect of New Energy Vehicle Policies on Traffic Congestion: Evidence from Beijing","year":2018,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Beijing; Traffic congestion; Traffic flow (computer networking); Transport engineering; Lottery; Environmental economics; Congestion pricing; Business; Computer science; Economics; Microeconomics; Geography; Engineering; China; Computer security","score_opus":0.02374527539600891,"score_gpt":0.28900360257801044,"score_spread":0.26525832718200154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896990752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997118,0.00035670516,0.00015067146,0.00029212103,0.000008972912,0.000013675901,0.0002469331,0.0000092657465,0.00180382],"genre_scores_gemma":[0.99910706,0.0002808496,0.00003268454,0.000031042942,0.0000056634194,0.0000080708105,0.0002480189,0.0000014507696,0.0002850072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989323,0.00048029103,0.00007391531,0.00012992411,0.00018730584,0.0001961543],"domain_scores_gemma":[0.9956388,0.0015124341,0.0015172767,0.00034938403,0.00059038575,0.00039168826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010315719,0.000320309,0.0005151041,0.0008152366,0.00048784318,0.00096374704,0.0006654375,0.00050115085,0.0018770645],"category_scores_gemma":[0.003944011,0.0002690925,0.00063430285,0.0016276063,0.0009973006,0.0009973908,0.0008136042,0.00070712494,0.00018907056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097513746,0.0008878317,0.924488,0.00026791025,0.0009994758,0.0010931926,0.0009326423,0.037275057,0.0010517729,0.004308926,0.003307594,0.024412503],"study_design_scores_gemma":[0.00011786338,0.0003929338,0.9719935,0.000035346675,0.00035920634,0.000066739995,0.0013773898,0.020856002,0.0007881996,0.0009230075,0.0030451089,0.00004469061],"about_ca_topic_score_codex":0.097819485,"about_ca_topic_score_gemma":0.09833519,"teacher_disagreement_score":0.097819485,"about_ca_system_score_codex":0.0027106253,"about_ca_system_score_gemma":0.0011039433,"threshold_uncertainty_score":0.19450021},"labels":[],"label_agreement":null},{"id":"W2897288208","doi":"10.1007/978-3-319-95037-2_4","title":"Internet of Things Enabled Electric Vehicles in Smart Cities","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Scheduling (production processes); Automotive industry; Internet of Things; The Internet; Electric vehicle; Profit (economics); Computer science; Engineering; Transport engineering; Computer security; Operations management","score_opus":0.004765358894486375,"score_gpt":0.1602175362726065,"score_spread":0.15545217737812012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897288208","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057087946,0.22343631,0.025071342,0.011976485,0.018057069,0.00006083904,0.00022160682,0.00033111082,0.7151364],"genre_scores_gemma":[0.07069827,0.28894883,0.01089356,0.004212208,0.007453597,0.00005341743,0.0005995185,0.0001951552,0.61694545],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998838,0.000021574848,0.000006165931,0.00001742336,0.000052682524,0.000018387016],"domain_scores_gemma":[0.9999099,0.000037060898,0.000006641491,0.0000096547265,0.000025160449,0.000011565261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017716477,0.0004854928,0.00019990136,0.0005922043,0.00028986996,0.0015728028,0.00042486007,0.0011674672,0.010721003],"category_scores_gemma":[0.0003108238,0.0001948568,0.00026844215,0.0015186432,0.00047069293,0.0032384342,0.0008220945,0.001206488,0.0032607084],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019963152,0.000046641224,0.00031377768,0.0007102259,0.000018892588,0.00025304087,0.00026322142,0.003170327,0.0013922572,0.38118887,0.23099534,0.38162738],"study_design_scores_gemma":[0.0000011413839,0.000010322962,0.00017342111,0.00017270284,0.0000039716515,0.00012594966,0.00011203018,0.00085817504,0.00021785595,0.024005553,0.97431415,0.0000046076666],"about_ca_topic_score_codex":0.0008083135,"about_ca_topic_score_gemma":0.001840137,"teacher_disagreement_score":0.010721003,"about_ca_system_score_codex":0.0005725646,"about_ca_system_score_gemma":0.00046045578,"threshold_uncertainty_score":0.035865307},"labels":[],"label_agreement":null},{"id":"W2897690921","doi":"10.1016/j.rser.2018.08.045","title":"Assessing life cycle impacts and the risk and uncertainty of alternative bus technologies","year":2018,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Life-cycle assessment; Total cost of ownership; Drivetrain; Greenhouse gas; Diesel fuel; Battery (electricity); Engineering; Environmental economics; Baseline (sea); Automotive engineering; Computer science; Economics; Production (economics)","score_opus":0.0068396839370927255,"score_gpt":0.22929176146282948,"score_spread":0.22245207752573676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897690921","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55366427,0.21584016,0.15669416,0.008255274,0.0007037953,0.00012639919,0.0013979211,0.0002271985,0.063090935],"genre_scores_gemma":[0.93974084,0.051798888,0.0052880356,0.00013401013,0.00019857725,0.000026252914,0.0002498179,0.00003289739,0.0025305096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998382,0.0007553893,0.0000579542,0.00008855478,0.00060840324,0.00010769076],"domain_scores_gemma":[0.99469084,0.004078918,0.00054785784,0.00011515352,0.0005040383,0.00006317154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028442524,0.0012100489,0.00075209106,0.0020661908,0.00024502046,0.0022707107,0.0009717562,0.0017280006,0.001675605],"category_scores_gemma":[0.007606884,0.00040843015,0.0008296307,0.0021674887,0.0007702671,0.003016717,0.00082480354,0.0012453343,0.00020086621],"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":[0.0001984002,0.000073861724,0.0071785045,0.00068619114,0.0006089811,0.00019242358,0.00010255428,0.8628661,0.0013835492,0.032077365,0.001487925,0.09314419],"study_design_scores_gemma":[0.000041577063,0.00078445906,0.02037456,0.0008921272,0.00090316165,0.00033322722,0.00095109554,0.6973382,0.007483102,0.23800544,0.03268768,0.00020534448],"about_ca_topic_score_codex":0.00697865,"about_ca_topic_score_gemma":0.008443691,"teacher_disagreement_score":0.00697865,"about_ca_system_score_codex":0.0020901642,"about_ca_system_score_gemma":0.0011554417,"threshold_uncertainty_score":0.015165329},"labels":[],"label_agreement":null},{"id":"W2897963859","doi":"10.1016/j.trd.2018.09.012","title":"Reaching 30% plug-in vehicle sales by 2030: Modeling incentive and sales mandate strategies in Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mandate; Incentive; Subsidy; Market share; Business; Government (linguistics); Economics; Finance; Microeconomics","score_opus":0.01578532771506701,"score_gpt":0.2337293992317125,"score_spread":0.21794407151664547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897963859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720448,0.00035625327,0.0023055652,0.0014974539,0.000023955068,0.00013913118,0.003271865,0.00007417244,0.02028675],"genre_scores_gemma":[0.9895522,0.0003334471,0.0021517645,0.00016237187,0.0000065639497,0.00006749626,0.0013329365,0.000026150594,0.0063670794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925905,0.00013197136,0.00001526593,0.00010522558,0.000080087746,0.00040847535],"domain_scores_gemma":[0.99764806,0.00090861483,0.00021646598,0.00008531561,0.0007319634,0.00040957934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011417234,0.0009362922,0.0007691918,0.0011984069,0.0018888167,0.0021447847,0.0029074606,0.0019076912,0.005447055],"category_scores_gemma":[0.0035661892,0.00068242155,0.001340547,0.0016980455,0.0015570282,0.0010577424,0.0011378949,0.0016968788,0.000330324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019761448,0.00029002328,0.03243003,0.00006038707,0.000076811666,0.00018387225,0.0002200369,0.9500385,0.00039351903,0.009302521,0.0032955795,0.0035111185],"study_design_scores_gemma":[0.000098941644,0.000085189466,0.012467799,0.000026087284,0.00006452221,0.00001780879,0.000755257,0.9820372,0.00019222582,0.0013579428,0.0028500073,0.00004711375],"about_ca_topic_score_codex":0.9848075,"about_ca_topic_score_gemma":0.98116,"teacher_disagreement_score":0.04339182,"about_ca_system_score_codex":0.04339182,"about_ca_system_score_gemma":0.027154025,"threshold_uncertainty_score":0.3148312},"labels":[],"label_agreement":null},{"id":"W2901311254","doi":"10.25071/10315/35299","title":"Energy Benefits Of Integrating Transportation Energy With A Net Zero Energy Solar Building Using Captured Waste Hydrogen From Electrochemical Plants And Bio-Gas From Various Bio-Gasification Processes","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Environmental science; Power to gas; Zero-energy building; Process engineering; Zero emission; Hydrogen; Waste management; Energy carrier; Solar energy; Energy (signal processing); Renewable energy; Energy engineering; Chemistry; Engineering; Physics; Electrode","score_opus":0.004277120882101373,"score_gpt":0.1756760836769773,"score_spread":0.17139896279487593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901311254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74740535,0.016224487,0.043575812,0.0036993911,0.0004099399,0.00007707393,0.0002650158,0.00013759921,0.18820527],"genre_scores_gemma":[0.9751091,0.004689546,0.00886685,0.00009785949,0.00003223348,0.000013068168,0.000079495956,0.000020174775,0.011091684],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998418,0.000028298115,0.000004769854,0.000012605951,0.000086191816,0.000026342155],"domain_scores_gemma":[0.999913,0.000026569924,0.000013083981,0.0000074209865,0.000030990566,0.000008896898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025259124,0.0003734088,0.0001404883,0.00036827353,0.0003065805,0.000711725,0.00030500416,0.0004020249,0.0030636468],"category_scores_gemma":[0.00025611385,0.00008431648,0.00031257886,0.0004248502,0.00043535096,0.00073877384,0.0005264359,0.00032784548,0.00028360554],"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":[0.0014231197,0.0005101374,0.010685558,0.0021919352,0.00016863938,0.0011556294,0.0003152907,0.057378184,0.2704569,0.15721175,0.004164611,0.4943382],"study_design_scores_gemma":[0.00012671268,0.004438385,0.049383197,0.0007946454,0.0009167882,0.0024297,0.0035754794,0.049299005,0.5661487,0.07445762,0.24826969,0.00016021635],"about_ca_topic_score_codex":0.0026020021,"about_ca_topic_score_gemma":0.008161122,"teacher_disagreement_score":0.0030636468,"about_ca_system_score_codex":0.00080077583,"about_ca_system_score_gemma":0.00053869706,"threshold_uncertainty_score":0.010248899},"labels":[],"label_agreement":null},{"id":"W2901509601","doi":"10.1016/j.trd.2018.10.009","title":"Latent demand for zero-emissions vehicles in Canada (Part 1): Insights from a design space exercise","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Simon Fraser University; Times Higher Education","keywords":"Drivetrain; Fuel efficiency; Space (punctuation); Battery electric vehicle; Sample (material); Battery (electricity); Automotive engineering; Computer science; Environmental economics; Transport engineering; Engineering; Economics","score_opus":0.025394437696474568,"score_gpt":0.2301417411139683,"score_spread":0.20474730341749373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901509601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797096,0.0004691653,0.0026158832,0.001282791,0.00000897926,0.000072798604,0.009197259,0.000047975624,0.0065955203],"genre_scores_gemma":[0.9883984,0.00031879605,0.0011797424,0.00007141986,0.000004729638,0.000029459938,0.0037237175,0.000014923776,0.006258885],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993561,0.00009718753,0.000026821886,0.000098994424,0.00015558807,0.00026530056],"domain_scores_gemma":[0.99768543,0.0011804232,0.0001890434,0.00011996315,0.00061215257,0.00021306025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010944387,0.0004396803,0.0008049971,0.0005392673,0.001329543,0.0027670262,0.0016500376,0.00083669607,0.008279761],"category_scores_gemma":[0.002860764,0.0004799579,0.0011365257,0.0016993314,0.00095683755,0.0010925027,0.00078601786,0.0012952491,0.0004062457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016922229,0.0010572575,0.4083161,0.0007074459,0.00046025185,0.00086139765,0.005261896,0.3255864,0.003946755,0.18440026,0.021982536,0.045727417],"study_design_scores_gemma":[0.00048060334,0.0003836688,0.4892235,0.00030618865,0.00043648566,0.000113268085,0.018408138,0.42329317,0.0030854817,0.02912874,0.034812007,0.00032864473],"about_ca_topic_score_codex":0.9905013,"about_ca_topic_score_gemma":0.9938852,"teacher_disagreement_score":0.03349165,"about_ca_system_score_codex":0.03349165,"about_ca_system_score_gemma":0.034093108,"threshold_uncertainty_score":0.24300003},"labels":[],"label_agreement":null},{"id":"W2901683766","doi":"","title":"Higher Q1 NEV sales bode well for battery raw material demand","year":2018,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Electrification; Business; Electric vehicle; Agricultural economics; Agricultural science; Engineering; Commerce; Electricity; Economics; Environmental science; Geography; Electrical engineering","score_opus":0.024147023697592113,"score_gpt":0.23117045044331075,"score_spread":0.20702342674571864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901683766","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22162141,0.003936813,0.0036027862,0.009348205,0.0021722391,0.00034684155,0.05329676,0.0030932154,0.7025817],"genre_scores_gemma":[0.45779333,0.0035469292,0.0021446922,0.0029280186,0.0006858419,0.00011058924,0.03871674,0.0005044254,0.4935694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948007,0.00002122132,0.00001739176,0.00011461126,0.00027409982,0.0000925578],"domain_scores_gemma":[0.9985071,0.000100997546,0.00012134323,0.00005917447,0.0010516605,0.00015982015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883631,0.0005123216,0.0003018631,0.0014066931,0.00077134726,0.0020141082,0.0004939943,0.00052466063,0.10512245],"category_scores_gemma":[0.0015875507,0.00022430085,0.0007012352,0.0015146617,0.00040545338,0.0021010102,0.00084400317,0.0011032074,0.027339859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004239171,0.0002194107,0.13637084,0.0012717121,0.00012847279,0.0011039694,0.0009986643,0.0017061279,0.012318348,0.033780713,0.40843588,0.4032419],"study_design_scores_gemma":[0.00003069142,0.00018540707,0.11215619,0.00013986549,0.00003211474,0.00037218773,0.0006379033,0.0008620655,0.002953718,0.0011786207,0.8814,0.000051284274],"about_ca_topic_score_codex":0.039006777,"about_ca_topic_score_gemma":0.049221765,"teacher_disagreement_score":0.10512245,"about_ca_system_score_codex":0.0018536946,"about_ca_system_score_gemma":0.001809137,"threshold_uncertainty_score":0.3516696},"labels":[],"label_agreement":null},{"id":"W2902056306","doi":"10.1109/ias.2018.8544661","title":"Fuzzy Optimization-based Sizing of a Battery Energy Storage System for Participating in Ancillary Services Markets","year":2018,"lang":"en","type":"article","venue":"","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":"University of New Brunswick","funders":"King Abdulaziz City for Science and Technology; King Fahd University of Petroleum and Minerals","keywords":"Sizing; Computer science; Profitability index; Demand response; Battery (electricity); Reliability engineering; Energy storage; Grid; Electricity; Fuzzy logic; Electric power system; Electricity market; Mathematical optimization; Power (physics); Engineering; Electrical engineering; Economics; Finance","score_opus":0.00565832482385644,"score_gpt":0.1942512368656804,"score_spread":0.18859291204182396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902056306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2088508,0.0007509701,0.7540799,0.00082121405,0.00010222507,0.00032935466,0.00066156464,0.00041036884,0.0339937],"genre_scores_gemma":[0.97498655,0.00011970267,0.022415878,0.000052990486,0.000011727937,0.00010293313,0.00009048238,0.000015824528,0.0022038317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997495,0.00007393465,0.000013179202,0.00005618149,0.00006501126,0.00004215909],"domain_scores_gemma":[0.99972683,0.00013781551,0.000051003997,0.000012374862,0.00005456131,0.000017317561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060986995,0.00075055676,0.00076594634,0.0004343203,0.00045620717,0.0014608685,0.0007472357,0.0010866299,0.0027916064],"category_scores_gemma":[0.0010478033,0.00051598175,0.0006364541,0.00042394662,0.00046956295,0.0007347955,0.000444078,0.0007296789,0.00022762945],"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":[0.000024036199,0.000010360906,0.00011822201,0.000016098145,0.000006228587,0.000025648382,0.000008406826,0.9953034,0.0006487871,0.0009896932,0.00014780712,0.002701285],"study_design_scores_gemma":[0.0000051488078,0.000016426338,0.000069756796,0.0000025555012,0.000004593581,0.000003834638,0.0000053899685,0.99912494,0.00022249998,0.00044493016,0.00009749,0.000002400534],"about_ca_topic_score_codex":0.011681042,"about_ca_topic_score_gemma":0.011784133,"teacher_disagreement_score":0.011681042,"about_ca_system_score_codex":0.0014064555,"about_ca_system_score_gemma":0.0013750762,"threshold_uncertainty_score":0.023226142},"labels":[],"label_agreement":null},{"id":"W2902089798","doi":"10.3390/en11123362","title":"The Role of Charging Infrastructure in Electric Vehicle Implementation within Smart Grids","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Resources Canada","keywords":"Microgrid; Electric vehicle; Context (archaeology); Smart grid; Energy storage; Electricity; Grid; Queueing theory; Computer science; Charging station; Duration (music); Resilience (materials science); Automotive engineering; Power (physics); Electrical engineering; Renewable energy; Engineering; Computer network","score_opus":0.0022977170647125946,"score_gpt":0.2010985350442223,"score_spread":0.1988008179795097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902089798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215944,0.00021628207,0.06337328,0.0003290649,0.000032860204,0.0000848975,0.000067907844,0.00018813883,0.0141132865],"genre_scores_gemma":[0.9981723,0.00006234659,0.0014080208,0.0000072877506,0.000001578379,0.0000062919257,0.000010961494,0.000007834305,0.00032347746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999355,0.00028512333,0.000023266639,0.00005668546,0.000097818884,0.00018209891],"domain_scores_gemma":[0.99867225,0.00070854893,0.00021407672,0.00010642981,0.0002287381,0.000070007576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010667853,0.00036307,0.00027560713,0.00039115778,0.00040124726,0.0013218146,0.00060695497,0.0004877232,0.0014498167],"category_scores_gemma":[0.0039409194,0.0002936188,0.00028929266,0.0004905103,0.0005497309,0.0017912571,0.00079511973,0.00059740857,0.0001710552],"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":[0.00012249906,0.00010863854,0.016055673,0.000060612583,0.000033219258,0.00019870557,0.0001877145,0.9477793,0.003402903,0.013969827,0.00022710727,0.0178538],"study_design_scores_gemma":[0.000020245297,0.00028310614,0.009511395,0.000027995398,0.000044782617,0.00005952745,0.00066644984,0.97759426,0.0044135745,0.0056017935,0.0017464509,0.00003053036],"about_ca_topic_score_codex":0.00914921,"about_ca_topic_score_gemma":0.007448626,"teacher_disagreement_score":0.00914921,"about_ca_system_score_codex":0.001339126,"about_ca_system_score_gemma":0.0012821356,"threshold_uncertainty_score":0.018191934},"labels":[],"label_agreement":null},{"id":"W2903046240","doi":"10.1016/j.trpro.2019.09.073","title":"Calculation of potential for setting up charging infrastructure for battery-powered electric vehicles – Focusing the calculation of potential according to the urban quarter level","year":2019,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Quarter (Canadian coin); Battery (electricity); Electric vehicle; Automotive engineering; Electric cars; Engineering; Computer science; Electrical engineering; Power (physics); Physics; Geography","score_opus":0.016042269834727625,"score_gpt":0.2791940890955435,"score_spread":0.2631518192608159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903046240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31615645,0.00091406744,0.47487977,0.00051698374,0.0002069911,0.0002586614,0.0017363693,0.0007568687,0.20457375],"genre_scores_gemma":[0.9673795,0.00031465554,0.020753631,0.00003112803,0.00001419696,0.00008542671,0.0004305399,0.00011602154,0.010874932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998087,0.000034988836,0.000007103141,0.000017891796,0.00007900346,0.000052288662],"domain_scores_gemma":[0.9997838,0.000062356434,0.000014548284,0.00002059861,0.00010193781,0.000016745578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585696,0.00045223004,0.0003793381,0.0009844867,0.00048925093,0.0010261808,0.00085932994,0.0006573247,0.0071703074],"category_scores_gemma":[0.0010950645,0.00027559558,0.00070538913,0.0011895536,0.00031779104,0.0009285866,0.00062178145,0.00040340633,0.000758567],"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":[0.00009165324,0.00004186414,0.0049397005,0.000268362,0.000038484824,0.00041514687,0.00009863951,0.9083564,0.005641016,0.044613663,0.0024182869,0.033076614],"study_design_scores_gemma":[0.000012731272,0.000052617645,0.0030108409,0.00003668532,0.000023176848,0.00013211042,0.00026822652,0.9711846,0.003959029,0.014993692,0.0063075395,0.000018597528],"about_ca_topic_score_codex":0.007104271,"about_ca_topic_score_gemma":0.00494401,"teacher_disagreement_score":0.0071703074,"about_ca_system_score_codex":0.00078559446,"about_ca_system_score_gemma":0.000937684,"threshold_uncertainty_score":0.023987114},"labels":[],"label_agreement":null},{"id":"W2903344020","doi":"10.1049/iet-pel.2018.5664","title":"Modelling and sliding‐mode control of a single‐phase single‐stage converter with application to plug‐in electric vehicles","year":2018,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Sliding mode control; Lyapunov function; Power (physics); Grid; Power factor; Computer science; Mode (computer interface); Boundary (topology); Resistive touchscreen; Lyapunov stability; Voltage; Engineering; Control (management); Mathematics; Nonlinear system; Physics","score_opus":0.004774093608710582,"score_gpt":0.20640379101744571,"score_spread":0.20162969740873513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903344020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061837412,0.00054266915,0.92493784,0.00017102994,0.00011517821,0.00006668343,0.00003709457,0.00037905012,0.011913087],"genre_scores_gemma":[0.9798564,0.0003011295,0.015161259,0.00001571752,0.000014935031,0.00007131808,0.000030759882,0.0000138714295,0.004534557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989295,0.000022534166,0.000006470089,0.000022362408,0.000045946817,0.000009872785],"domain_scores_gemma":[0.9999063,0.000033322147,0.000015082107,0.000012375691,0.000028305365,0.000004587744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018484413,0.00044243372,0.00039517772,0.00019681967,0.0002695904,0.00077875843,0.0005683974,0.00048175233,0.0014607649],"category_scores_gemma":[0.00027392138,0.00021608638,0.00038403168,0.0001596928,0.00039993357,0.00044770917,0.00031691394,0.00055808167,0.0002525751],"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":[0.00015203835,0.00006358861,0.0006773418,0.0003006945,0.00004811286,0.0003006308,0.00022926058,0.8839476,0.04942786,0.016662117,0.00071619207,0.047474507],"study_design_scores_gemma":[0.0000056481103,0.00005088101,0.00013449731,0.0000057408865,0.0000057713305,0.000023726878,0.000011406624,0.9952667,0.0028365958,0.0008593749,0.00079573866,0.0000039448823],"about_ca_topic_score_codex":0.0028105488,"about_ca_topic_score_gemma":0.0019324531,"teacher_disagreement_score":0.0028105488,"about_ca_system_score_codex":0.00023974263,"about_ca_system_score_gemma":0.00045082066,"threshold_uncertainty_score":0.0055883527},"labels":[],"label_agreement":null},{"id":"W2903870216","doi":"10.1016/j.rser.2018.11.003","title":"Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies","year":2018,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Zero-energy building; Renewable energy; Grid; Electricity; Energy management; Energy management system; Electric vehicle; Engineering; Automotive engineering; Energy (signal processing); Computer science; Environmental economics; Electrical engineering","score_opus":0.021745647571233342,"score_gpt":0.2614960555204568,"score_spread":0.23975040794922345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903870216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6194155,0.0013320768,0.15836409,0.0022185175,0.00015088853,0.00036375652,0.00053207134,0.0004264624,0.21719666],"genre_scores_gemma":[0.96189946,0.0009367712,0.020681733,0.00005072625,0.0000069341995,0.00012432454,0.000162149,0.00010417904,0.016033651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996854,0.00010745287,0.000009227409,0.00003396337,0.00009819421,0.00006588092],"domain_scores_gemma":[0.9994159,0.00033919388,0.000028822422,0.000071641814,0.000095262556,0.000049192327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076023146,0.0005494792,0.00043807543,0.00046999307,0.0008794834,0.0026725726,0.0016955183,0.0017020492,0.006336354],"category_scores_gemma":[0.0014990031,0.0003391991,0.00058062165,0.00062637444,0.0015332579,0.0026269848,0.001072694,0.0012601046,0.0006592645],"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":[0.00013971387,0.00025721316,0.001408041,0.0002563221,0.000020391577,0.0005390232,0.00082878873,0.76577055,0.0032368174,0.19304591,0.0031755576,0.03132167],"study_design_scores_gemma":[0.00008207186,0.00021140515,0.0010496926,0.00009209363,0.000041440155,0.00021092627,0.0016876541,0.86491126,0.0038936983,0.095581554,0.03219033,0.00004793093],"about_ca_topic_score_codex":0.015480528,"about_ca_topic_score_gemma":0.015969273,"teacher_disagreement_score":0.015480528,"about_ca_system_score_codex":0.001854999,"about_ca_system_score_gemma":0.001471182,"threshold_uncertainty_score":0.030780852},"labels":[],"label_agreement":null},{"id":"W2904280202","doi":"10.1109/ecce.2018.8557954","title":"Grid Power-Smoothing Performance Improvement for PV and Electric Vehicle (EV) Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 New Brunswick","funders":"","keywords":"Sizing; Smoothing; Peaking power plant; Battery (electricity); Photovoltaic system; Grid; Computer science; Automotive engineering; Power (physics); Energy storage; Electric vehicle; Engineering; Electrical engineering; Renewable energy; Distributed generation; Mathematics","score_opus":0.0035679382965896084,"score_gpt":0.17988038748678814,"score_spread":0.17631244919019853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904280202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45010674,0.0008848889,0.5380635,0.00015855169,0.00003939831,0.000045108736,0.00005920611,0.0011227368,0.009519874],"genre_scores_gemma":[0.99059033,0.00007153895,0.008738761,0.000006721125,0.0000048776133,0.000004421732,0.00001826303,0.000011887778,0.0005532716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999899,0.000025696378,0.000006748136,0.00001965522,0.000033211305,0.000015516755],"domain_scores_gemma":[0.9998202,0.00008022019,0.000025247004,0.000027689352,0.000039603783,0.000007158613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033263472,0.0003537926,0.0002892709,0.00019885504,0.00019063058,0.00036930045,0.00028160124,0.00019956256,0.0006784972],"category_scores_gemma":[0.00052633806,0.00010029642,0.00017062319,0.0004026612,0.00012840318,0.00025537724,0.0001946453,0.00029729362,0.0001275042],"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":[0.0003762058,0.000096466196,0.002011931,0.00012437344,0.000041807743,0.000060279897,0.000088073444,0.76996166,0.024121087,0.0021954568,0.000858435,0.20006426],"study_design_scores_gemma":[0.000008282422,0.00011759469,0.0008550914,0.000004754693,0.0000119415845,0.000020309659,0.000013656224,0.98944914,0.008508185,0.00056029833,0.00044622805,0.0000045497854],"about_ca_topic_score_codex":0.0018657534,"about_ca_topic_score_gemma":0.0025107027,"teacher_disagreement_score":0.0018657534,"about_ca_system_score_codex":0.0003125276,"about_ca_system_score_gemma":0.00019758267,"threshold_uncertainty_score":0.003709793},"labels":[],"label_agreement":null},{"id":"W2904496803","doi":"10.1063/1.5082142","title":"Mathematical modelling of a charge station with supercapacitor energy storage","year":2018,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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":"Agence Universitaire de la Francophonie","keywords":"Supercapacitor; Energy storage; Converters; Power (physics); Automotive engineering; MATLAB; Computer science; Hybrid power; Electric power system; Computer data storage; Control system; Electrical engineering; Voltage; Engineering; Capacitance","score_opus":0.015027482712146848,"score_gpt":0.19531196386993324,"score_spread":0.1802844811577864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904496803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029886112,0.001776701,0.86691135,0.00088538096,0.0003342752,0.00020917848,0.0011982855,0.000902352,0.09789632],"genre_scores_gemma":[0.89174265,0.0022050946,0.04186077,0.00022221952,0.00014283475,0.0005754456,0.00064891705,0.00015272139,0.062449265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.00003406968,0.000016955768,0.000048769714,0.00008908147,0.000025735986],"domain_scores_gemma":[0.9998211,0.00005507646,0.000031535765,0.00002049488,0.000059168604,0.000012596485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002635746,0.000832229,0.0009009324,0.0005840684,0.00063745485,0.001784118,0.0021278143,0.0019800747,0.0073455484],"category_scores_gemma":[0.0004220027,0.00045293846,0.0008067299,0.0007770061,0.0008184883,0.0011743105,0.0009976759,0.001123762,0.0018271374],"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":[0.00005412695,0.000038565435,0.00036448363,0.00024908775,0.000034228684,0.0004451114,0.00014414114,0.90901417,0.008709004,0.07248145,0.0014489829,0.0070165964],"study_design_scores_gemma":[0.000013517817,0.000041218344,0.00016288091,0.000014910906,0.000013725625,0.00009980544,0.000028097425,0.98510045,0.0009311127,0.008601597,0.004979291,0.000013399132],"about_ca_topic_score_codex":0.005788037,"about_ca_topic_score_gemma":0.0026041388,"teacher_disagreement_score":0.0073455484,"about_ca_system_score_codex":0.00074033916,"about_ca_system_score_gemma":0.00092519977,"threshold_uncertainty_score":0.024573326},"labels":[],"label_agreement":null},{"id":"W2905119334","doi":"10.1109/hitech.2018.8566634","title":"Development of Control Strategy for Charging Electric Vehicles in Micro and Nanogrid","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"MATLAB; Reliability (semiconductor); Electric vehicle; Computer science; Control (management); Stability (learning theory); Automotive engineering; Energy storage; Engineering","score_opus":0.007340169365796011,"score_gpt":0.20700466489579442,"score_spread":0.1996644955299984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905119334","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017113088,0.00065798813,0.9671003,0.00029110466,0.00016426879,0.00012240502,0.000029776154,0.0003425125,0.014178591],"genre_scores_gemma":[0.91863286,0.00076307124,0.07215303,0.00012183749,0.00007075596,0.00020412306,0.00005291387,0.000026689002,0.007974775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999045,0.000012370441,0.0000067593483,0.00002433798,0.000039677518,0.000012319429],"domain_scores_gemma":[0.9999366,0.000009658235,0.0000121415305,0.0000051086145,0.000030344087,0.000006146014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016741313,0.00031943375,0.00032146196,0.00022501286,0.00024305597,0.0006154751,0.00064110133,0.00039488307,0.0016175099],"category_scores_gemma":[0.00018095355,0.000114348964,0.0002949754,0.00016969466,0.00027011966,0.00042734802,0.0004201857,0.00037498574,0.00028977107],"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":[0.0001896726,0.00015447459,0.0018323289,0.00062024395,0.00008023022,0.00056254625,0.00032767377,0.57766676,0.08056628,0.07876004,0.004962432,0.25427735],"study_design_scores_gemma":[0.000028668668,0.00016958764,0.0004408325,0.000026444337,0.000019591807,0.000104362414,0.000057548605,0.98008955,0.0063169617,0.005760245,0.0069697737,0.000016466547],"about_ca_topic_score_codex":0.0026174919,"about_ca_topic_score_gemma":0.0020858997,"teacher_disagreement_score":0.0026174919,"about_ca_system_score_codex":0.00032215935,"about_ca_system_score_gemma":0.0004577743,"threshold_uncertainty_score":0.005411148},"labels":[],"label_agreement":null},{"id":"W2905156263","doi":"10.1109/ecce.2018.8558391","title":"Optimal Scheduling of Spinning Reserve and User Cost in Vehicle-to-Grid (V2G) Systems","year":2018,"lang":"en","type":"article","venue":"","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":"University of New Brunswick","funders":"","keywords":"Spinning; Scheduling (production processes); Vehicle-to-grid; Grid; Computer science; Electric vehicle; Smart grid; Distributed computing; Mathematical optimization; Engineering; Electrical engineering; Mechanical engineering; Mathematics","score_opus":0.009145187495536954,"score_gpt":0.2264702137052929,"score_spread":0.21732502620975597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905156263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22663264,0.0014687111,0.7604645,0.0006519747,0.00011582975,0.00015974234,0.00019760453,0.00018333807,0.010125571],"genre_scores_gemma":[0.9864153,0.00025394373,0.012135556,0.000025815822,0.000018247854,0.000038952225,0.000028935603,0.000022114635,0.0010612883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936086,0.0002987207,0.000023579098,0.00007473053,0.00008931723,0.00015280253],"domain_scores_gemma":[0.9992569,0.0004751451,0.00011060289,0.000020525944,0.00007287594,0.00006394169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010699078,0.001171712,0.0015145658,0.0005985644,0.0007290905,0.0014532848,0.00092061836,0.0010420448,0.0016601296],"category_scores_gemma":[0.0018362445,0.00067558174,0.0004654903,0.0009791842,0.0007256036,0.001162864,0.00079466606,0.00063480454,0.00014414574],"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":[0.000047075282,0.000013467064,0.00016012992,0.000025913774,0.000012990683,0.000035539335,0.00001835397,0.99148566,0.0003712715,0.003913979,0.00025834676,0.003657381],"study_design_scores_gemma":[0.0000074329496,0.000020988735,0.000082961014,0.0000019364431,0.0000047874987,0.000006953862,0.000012691471,0.99838173,0.0001268965,0.0012495698,0.00010052461,0.0000035580617],"about_ca_topic_score_codex":0.012555143,"about_ca_topic_score_gemma":0.009784435,"teacher_disagreement_score":0.012555143,"about_ca_system_score_codex":0.0017793787,"about_ca_system_score_gemma":0.0014522723,"threshold_uncertainty_score":0.024964154},"labels":[],"label_agreement":null},{"id":"W2905481573","doi":"10.1155/2018/8923245","title":"Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mainz Institute for Theoretical Physics, Johannes Gutenberg University Mainz; Fundação para a Ciência e a Tecnologia; University College Cork","keywords":"Analytic hierarchy process; Transport engineering; Multiple-criteria decision analysis; Promotion (chess); Geographic information system; Electric vehicle; Sustainable development; Business; Environmental economics; Computer science; Environmental planning; Operations research; Environmental science; Geography; Engineering","score_opus":0.0037402628305621007,"score_gpt":0.22787005303164073,"score_spread":0.22412979020107862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905481573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8905126,0.002291033,0.06469561,0.0011542186,0.000038067476,0.0006750113,0.0047065783,0.00031731735,0.035609536],"genre_scores_gemma":[0.97128177,0.0007760969,0.024254795,0.000012460036,0.0000025347797,0.0001307673,0.0012431609,0.00001522958,0.0022832195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974877,0.00007450041,0.0000133331705,0.00004584478,0.000057444577,0.000060093673],"domain_scores_gemma":[0.999759,0.000084324245,0.00003847054,0.000010820846,0.00007830533,0.000029033328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035981502,0.0003998659,0.00027347804,0.001929412,0.0005787249,0.0012276482,0.0004886716,0.00032900838,0.0020668653],"category_scores_gemma":[0.001430489,0.00030395825,0.0005727379,0.0025176243,0.0003752391,0.00061099016,0.0007252904,0.00013536413,0.00014902152],"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":[0.00012431644,0.0001872045,0.106217936,0.00078901177,0.0001259337,0.001618274,0.0020724142,0.69121903,0.00462713,0.038679037,0.0043085236,0.15003118],"study_design_scores_gemma":[0.000039344774,0.00014935466,0.11335936,0.00033883966,0.00013481993,0.00035946668,0.009906313,0.831215,0.0026254675,0.008327526,0.03345726,0.000087244916],"about_ca_topic_score_codex":0.25926122,"about_ca_topic_score_gemma":0.41521108,"teacher_disagreement_score":0.25926122,"about_ca_system_score_codex":0.0041604163,"about_ca_system_score_gemma":0.004873343,"threshold_uncertainty_score":0.5155043},"labels":[],"label_agreement":null},{"id":"W2905566172","doi":"10.1016/j.trd.2018.10.010","title":"Latent demand for zero-emissions vehicles in Canada (Part 2): Insights from a stated choice experiment","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Respondent; Valuation (finance); Incentive; Latent class model; Alternative fuel vehicle; Occupancy; Willingness to pay; Drivetrain; Sample (material); Environmental economics; Econometrics; Economics; Transport engineering; Computer science; Microeconomics; Engineering; Automotive engineering; Finance","score_opus":0.022968077835442188,"score_gpt":0.24834291914367257,"score_spread":0.22537484130823038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905566172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911363,0.00018805517,0.00083620177,0.0011701008,0.000014800503,0.00015355527,0.0027752877,0.000028466235,0.0036973571],"genre_scores_gemma":[0.9914619,0.00014563373,0.0006590028,0.00016794805,0.000009005241,0.00007531451,0.0019833394,0.000011795427,0.0054861754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979335,0.00066644937,0.00008536589,0.0003349306,0.00035525358,0.0006244392],"domain_scores_gemma":[0.98388636,0.010892425,0.0013781709,0.0010068741,0.001724522,0.0011116907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004304868,0.00071787136,0.0013125457,0.0003943613,0.002776364,0.0038989834,0.002318748,0.0021621594,0.011765872],"category_scores_gemma":[0.011792014,0.0005807489,0.0009449431,0.0011862688,0.0022494711,0.0017146671,0.0010202992,0.0025509633,0.00073268905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.035208102,0.014182956,0.613141,0.001038508,0.0012284684,0.0011683612,0.016486175,0.119526565,0.012741562,0.09818321,0.031371504,0.055723578],"study_design_scores_gemma":[0.005415132,0.0029825973,0.7207415,0.00024880152,0.0008983006,0.00012691611,0.021215834,0.18719439,0.0060892706,0.025756545,0.028516684,0.00081403664],"about_ca_topic_score_codex":0.9783061,"about_ca_topic_score_gemma":0.98385197,"teacher_disagreement_score":0.034301117,"about_ca_system_score_codex":0.034301117,"about_ca_system_score_gemma":0.029034028,"threshold_uncertainty_score":0.24887317},"labels":[],"label_agreement":null},{"id":"W2906097365","doi":"10.1109/pesgm.2018.8586371","title":"A Stochastic Energy Management System for Isolated Microgrids","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Waterloo","funders":"","keywords":"Energy management; Greenhouse gas; Probabilistic logic; Computer science; Demand response; Flexibility (engineering); Energy management system; Wind power; Load management; Stochastic modelling; Automotive engineering; Reliability engineering; Engineering; Energy (signal processing); Business; Electricity; Economics","score_opus":0.003055764817948132,"score_gpt":0.17487270755160095,"score_spread":0.1718169427336528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906097365","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06495928,0.00023509687,0.92202514,0.0005042124,0.000098245684,0.000118726035,0.0004029998,0.001008949,0.010647255],"genre_scores_gemma":[0.983086,0.00013308789,0.013456875,0.000051653922,0.000033004137,0.000111458576,0.00014445919,0.000023584002,0.002959845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953055,0.00013253298,0.000029971758,0.0001351328,0.00010703533,0.000064743625],"domain_scores_gemma":[0.99965405,0.0001095769,0.00009058593,0.000023551042,0.000091172595,0.00003109283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056853093,0.0007563002,0.00080250483,0.00027690033,0.0006196071,0.0011904093,0.0009924708,0.00064220943,0.0029090398],"category_scores_gemma":[0.0010611467,0.00033659805,0.00057576486,0.0003600444,0.0004202436,0.00074703275,0.00086450233,0.0007792795,0.00041925366],"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":[0.000038181213,0.000017918672,0.00023308535,0.000022649943,0.000016659262,0.000072502975,0.000022522856,0.9864977,0.0008394413,0.006769919,0.00044649772,0.005022925],"study_design_scores_gemma":[0.0000052323867,0.000015792712,0.00006866468,0.0000019529136,0.0000050378526,0.000009733469,0.0000040566038,0.9983398,0.000092470196,0.0011602376,0.00029373658,0.0000033551112],"about_ca_topic_score_codex":0.006380438,"about_ca_topic_score_gemma":0.0049778065,"teacher_disagreement_score":0.006380438,"about_ca_system_score_codex":0.00089871604,"about_ca_system_score_gemma":0.0011565803,"threshold_uncertainty_score":0.01268661},"labels":[],"label_agreement":null},{"id":"W2906170804","doi":"10.1109/pesgm.2018.8585528","title":"An MHO Approach for Electric Bus Charging Scheme Optimization Based on Energy Consumption Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scheme (mathematics); Energy consumption; Computer science; Estimation; Consumption (sociology); Electric energy; Automotive engineering; Electrical engineering; Engineering; Physics; Systems engineering; Mathematics","score_opus":0.008453545699918153,"score_gpt":0.21615228392675215,"score_spread":0.207698738226834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906170804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013449587,0.00055477244,0.97978103,0.0002723514,0.00006567394,0.00005763274,0.00008198688,0.00020457928,0.0055323555],"genre_scores_gemma":[0.9312764,0.0005226769,0.061972123,0.00014736706,0.00008464386,0.00023831737,0.00019089512,0.000085289845,0.005482468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968195,0.00012550662,0.000015267908,0.00005775906,0.00006640721,0.00005318371],"domain_scores_gemma":[0.9994868,0.00034335916,0.000061645915,0.000015874706,0.00006899678,0.000023315912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078777515,0.0010834949,0.0013009625,0.00046510377,0.00036203535,0.0009545784,0.0009859124,0.0009510475,0.0028858741],"category_scores_gemma":[0.0017681682,0.0007581208,0.0007866144,0.000589286,0.00051337265,0.0007477824,0.0008985949,0.0010565383,0.0002597044],"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":[0.00001832712,0.000009214102,0.00012406956,0.000027199156,0.0000135862965,0.000023126944,0.000013514242,0.99349505,0.00022199294,0.0019141049,0.00020572895,0.0039340374],"study_design_scores_gemma":[0.0000021434585,0.000005728249,0.00002906344,0.0000020196355,0.0000024811136,0.000001863118,0.0000031624832,0.9993357,0.000032879998,0.00048576784,0.000097432756,0.0000017377749],"about_ca_topic_score_codex":0.011860892,"about_ca_topic_score_gemma":0.0063729878,"teacher_disagreement_score":0.011860892,"about_ca_system_score_codex":0.0007219848,"about_ca_system_score_gemma":0.00092090835,"threshold_uncertainty_score":0.02358371},"labels":[],"label_agreement":null},{"id":"W2908525393","doi":"10.1109/epec.2018.8598368","title":"A novel transactive energy framework for prosumers with battery storage and electric vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transactive memory; Battery (electricity); Computer science; Energy storage; Automotive engineering; Environmental economics; Knowledge management; Engineering; Power (physics)","score_opus":0.004675414944792708,"score_gpt":0.18737447476204375,"score_spread":0.18269905981725104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908525393","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009250535,0.0004136106,0.98040205,0.00014974942,0.00009321992,0.000062319916,0.000027360878,0.00019412124,0.009407121],"genre_scores_gemma":[0.9274699,0.0004439771,0.06321582,0.00009566516,0.00008699487,0.00013736544,0.00004218126,0.00004930473,0.008458838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995122,0.00014515586,0.0000257838,0.00010234147,0.0001563563,0.00005822767],"domain_scores_gemma":[0.9998109,0.00005859238,0.000021833177,0.000019645127,0.00006712238,0.000021993234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074334256,0.0009880898,0.0006853721,0.00030613478,0.0004548372,0.0013817766,0.0018509332,0.00088015205,0.00324916],"category_scores_gemma":[0.00071858324,0.00026564763,0.00058066176,0.0003126185,0.0007249145,0.0013824563,0.0012907223,0.00089978887,0.00036809067],"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":[0.00015600013,0.00015316586,0.00040559281,0.00019350386,0.00007717176,0.00046024428,0.00017143149,0.7822516,0.0118308095,0.13690045,0.0017732789,0.06562678],"study_design_scores_gemma":[0.000009515534,0.00007749842,0.000051004412,0.000007366012,0.000011710459,0.000058676447,0.000022644557,0.98691237,0.00097411603,0.009624649,0.0022420958,0.00000823742],"about_ca_topic_score_codex":0.0030849953,"about_ca_topic_score_gemma":0.0030261758,"teacher_disagreement_score":0.00324916,"about_ca_system_score_codex":0.0005380964,"about_ca_system_score_gemma":0.00075574074,"threshold_uncertainty_score":0.010869563},"labels":[],"label_agreement":null},{"id":"W2908888431","doi":"10.1109/tsg.2019.2891900","title":"Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":164,"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 Waterloo","funders":"Qatar National Research Fund","keywords":"Microgrid; Mathematical optimization; Sorting; Computer science; Scheduling (production processes); Software deployment; Pareto principle; Sizing; Genetic algorithm; Electric vehicle; Linear programming; Multi-objective optimization; Engineering; Voltage; Algorithm; Mathematics; Power (physics); Electrical engineering","score_opus":0.007209225630617701,"score_gpt":0.20556938051465598,"score_spread":0.19836015488403827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908888431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1569084,0.00021062206,0.8321441,0.0001965966,0.000023816234,0.00012374148,0.000091168185,0.00045712516,0.009844413],"genre_scores_gemma":[0.92395705,0.000087254186,0.07336277,0.000026341459,0.0000060868783,0.00008337532,0.000053472584,0.00004040189,0.0023833048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997737,0.00008405331,0.000006523664,0.00004314694,0.00004314209,0.000049444727],"domain_scores_gemma":[0.9997805,0.00010946301,0.00003508558,0.000017251597,0.000027930015,0.00002987257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046812455,0.0006341025,0.00053683156,0.00033056975,0.0004353122,0.0006332431,0.00062463246,0.0004553235,0.002027119],"category_scores_gemma":[0.0007697274,0.00039976722,0.00039424477,0.00045551496,0.0005017826,0.00076864666,0.000665195,0.00041359616,0.00019804931],"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":[0.000028133043,0.000014922919,0.00019033182,0.000012497625,0.0000064559727,0.000047065525,0.000026829688,0.98718864,0.000644098,0.0020752326,0.00014417304,0.009621524],"study_design_scores_gemma":[0.00000968142,0.000028148528,0.00010482942,0.0000027641534,0.0000055643723,0.000014743703,0.00003904527,0.99527764,0.00070611184,0.0033513599,0.00045613013,0.000003954312],"about_ca_topic_score_codex":0.005983046,"about_ca_topic_score_gemma":0.00950965,"teacher_disagreement_score":0.005983046,"about_ca_system_score_codex":0.00062038004,"about_ca_system_score_gemma":0.0009858058,"threshold_uncertainty_score":0.011896431},"labels":[],"label_agreement":null},{"id":"W2909143392","doi":"10.1109/epec.2018.8598330","title":"Impact of Integrating Electric Vehicles and Rooftop Solar Photovoltaic on Transformer's Aging Considering the Effect of Ambient Temperature","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Photovoltaic system; Transformer; Distribution transformer; Automotive engineering; Environmental science; Electric vehicle; Electrical engineering; Engineering; Voltage","score_opus":0.003098257382875703,"score_gpt":0.21389807418064966,"score_spread":0.21079981679777396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909143392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734842,0.00022487938,0.023703313,0.000055134664,0.0000205022,0.000014399109,0.00014599907,0.00011197852,0.0022395332],"genre_scores_gemma":[0.99925953,0.000051706495,0.00045828748,0.0000043708,0.0000019222048,0.0000013445618,0.00004320511,0.0000070713054,0.00017255348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995153,0.00013312482,0.000020493573,0.00007255147,0.00014183448,0.000116700125],"domain_scores_gemma":[0.9981988,0.0011499176,0.00020051774,0.00011206642,0.0002773578,0.000061360384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009058702,0.0005151687,0.00041785097,0.00034259493,0.00025083713,0.0007348806,0.00037199366,0.00045110588,0.0011755829],"category_scores_gemma":[0.002531192,0.0002096187,0.0005568752,0.000382824,0.00036542103,0.0008508875,0.00049786654,0.00032436472,0.00015273527],"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":[0.0003375661,0.000061351246,0.03166782,0.000042604017,0.00010452135,0.00039234795,0.000036739468,0.9462507,0.008518338,0.0009666213,0.00010339441,0.011517999],"study_design_scores_gemma":[0.000013893764,0.00049865525,0.030094681,0.000014667128,0.00022466574,0.00037173613,0.00018747713,0.9510145,0.015810503,0.0012368389,0.00050169666,0.000030650484],"about_ca_topic_score_codex":0.008503323,"about_ca_topic_score_gemma":0.006733681,"teacher_disagreement_score":0.008503323,"about_ca_system_score_codex":0.0006045273,"about_ca_system_score_gemma":0.0005432089,"threshold_uncertainty_score":0.016907632},"labels":[],"label_agreement":null},{"id":"W2909577389","doi":"","title":"Dynamic Electric Vehicle Routing: Heuristics and Dual Bounds","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Heuristics; Dual (grammatical number); Vehicle routing problem; Computer science; Routing (electronic design automation); Mathematical optimization; Mathematics; Computer network","score_opus":0.005366269999914655,"score_gpt":0.19794381538923422,"score_spread":0.19257754538931957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909577389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031949986,0.0019612345,0.9405608,0.0016261004,0.00017483294,0.000113511494,0.00031538098,0.00035604846,0.022942066],"genre_scores_gemma":[0.63601416,0.0019054572,0.35235697,0.00062440697,0.00023419762,0.00025061768,0.0006633441,0.00025879836,0.007692131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892646,0.0004872119,0.00003284886,0.00015835643,0.00016438674,0.00023075356],"domain_scores_gemma":[0.99720997,0.0019544286,0.00026254618,0.0001985198,0.00019309323,0.00018137683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019776206,0.0015984061,0.0013157355,0.0011940935,0.0006074396,0.0024196852,0.0015988727,0.0014597268,0.0036181633],"category_scores_gemma":[0.007229074,0.0008773834,0.0007488771,0.0019626962,0.0013874902,0.0023117464,0.0015657844,0.0025509077,0.00043684297],"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":[0.00006797598,0.00009797648,0.00041074987,0.000063896885,0.000030199679,0.000052039082,0.000046688656,0.8980006,0.00037888516,0.07736852,0.004411848,0.019070506],"study_design_scores_gemma":[0.000022666085,0.00001934048,0.00007680074,0.00002223415,0.000009006381,0.000023421115,0.000027024053,0.94507366,0.00015927634,0.052714884,0.0018427933,0.000008942158],"about_ca_topic_score_codex":0.0055212523,"about_ca_topic_score_gemma":0.0058294307,"teacher_disagreement_score":0.0055212523,"about_ca_system_score_codex":0.0031157297,"about_ca_system_score_gemma":0.002230455,"threshold_uncertainty_score":0.022606313},"labels":[],"label_agreement":null},{"id":"W2909694015","doi":"10.1016/j.jtrangeo.2018.12.001","title":"Why is electric vehicle uptake low in Atlantic Canada? A comparison to leading adoption provinces","year":2019,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Lagging; Occupancy; Incentive; Electric vehicle; Business; Socioeconomic status; Warranty; Poverty; Economics; Economic growth; Engineering; Demography; Population; Political science","score_opus":0.0035072068581741937,"score_gpt":0.18443059072669865,"score_spread":0.18092338386852447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909694015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97841454,0.001208521,0.00012876907,0.0043153865,0.000032718064,0.000029532666,0.00282117,0.00001971657,0.013029622],"genre_scores_gemma":[0.9958477,0.00048453888,0.0000794595,0.00035255155,0.0000072465787,0.00000836927,0.0008002619,0.000011531542,0.002408414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974771,0.0001257979,0.0000819187,0.00019508727,0.0005107824,0.0016091845],"domain_scores_gemma":[0.99091315,0.0006706698,0.0011486846,0.00019865026,0.0048591034,0.0022097274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010820295,0.00024958208,0.0006217969,0.002264559,0.0039708647,0.004153947,0.0018659391,0.0007803493,0.0049994704],"category_scores_gemma":[0.0056491354,0.0003098049,0.00085786876,0.009142896,0.0017641523,0.0010689955,0.0017539582,0.0014202732,0.00036254982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021676843,0.00006544145,0.97502285,0.00008321419,0.0001022352,0.00025421637,0.0044336733,0.0003338429,0.00030402452,0.0029582584,0.0041720914,0.012053347],"study_design_scores_gemma":[0.000014717816,0.000021432686,0.97937953,0.000100532,0.00005163674,0.000045416633,0.015849652,0.00029121127,0.00012747935,0.00018964085,0.003908324,0.000020456984],"about_ca_topic_score_codex":0.99811256,"about_ca_topic_score_gemma":0.99898666,"teacher_disagreement_score":0.05258236,"about_ca_system_score_codex":0.05258236,"about_ca_system_score_gemma":0.08800349,"threshold_uncertainty_score":0.38151354},"labels":[],"label_agreement":null},{"id":"W2910085940","doi":"10.1109/vppc.2018.8604995","title":"Intelligent Energy Management of Vehicular Solar Idle Reduction Systems with Reinforcement Learning","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Idle; Computer science; MATLAB; Automotive engineering; Reduction (mathematics); Energy management; Power management; Controller (irrigation); Real-time computing; Simulation; Power (physics); Control engineering; Energy (signal processing); Engineering; Artificial intelligence; Operating system","score_opus":0.004584917182173408,"score_gpt":0.17803883583991031,"score_spread":0.1734539186577369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910085940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07384922,0.00034112713,0.9203879,0.00016719429,0.00004944734,0.00006190593,0.00001860049,0.00053734786,0.0045871465],"genre_scores_gemma":[0.9886451,0.0000681619,0.010362244,0.000030489295,0.000010829271,0.000038583785,0.000013666862,0.00000889553,0.00082203426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979573,0.000056395,0.000012374936,0.000042719334,0.000055924498,0.000036892907],"domain_scores_gemma":[0.99972814,0.000115478026,0.000062039064,0.000018206294,0.00006015998,0.000015862859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459464,0.00046801593,0.0004966938,0.00015302902,0.00023211604,0.00050167396,0.0006317207,0.00037951407,0.00058716454],"category_scores_gemma":[0.0007037853,0.00016879046,0.0002454481,0.00013746064,0.0004159422,0.0003405592,0.0004341547,0.0004728641,0.00012464706],"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":[0.000060824717,0.000053673477,0.00048538667,0.00004503127,0.00002860206,0.00006803748,0.000034185465,0.9661459,0.0048665944,0.0020994516,0.00025844947,0.025853915],"study_design_scores_gemma":[0.000008728565,0.00003532979,0.00008153196,0.0000021386943,0.0000042312886,0.0000076056713,0.0000034866725,0.998601,0.00063884,0.00042858964,0.0001861704,0.0000023969583],"about_ca_topic_score_codex":0.0028744298,"about_ca_topic_score_gemma":0.0024101383,"teacher_disagreement_score":0.0028744298,"about_ca_system_score_codex":0.00034866657,"about_ca_system_score_gemma":0.00047775137,"threshold_uncertainty_score":0.00571543},"labels":[],"label_agreement":null},{"id":"W2910683909","doi":"10.4095/261728","title":"CO2 transport and storage infrastructure","year":2009,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Transport infrastructure; Computer science; Transport engineering; Engineering","score_opus":0.0053429223255388415,"score_gpt":0.20405363902043688,"score_spread":0.19871071669489804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910683909","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124469936,0.0017050669,0.01080503,0.002908965,0.0003485921,0.0015409999,0.073580824,0.0025612921,0.7820793],"genre_scores_gemma":[0.4492845,0.004219232,0.011014093,0.00038119458,0.00008784439,0.0006721109,0.09092153,0.000435478,0.44298404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824166,0.000060262577,0.000040567258,0.00011606382,0.0010798614,0.00046162927],"domain_scores_gemma":[0.9985397,0.000073736104,0.000063023,0.00007578065,0.0010744457,0.0001734433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005382572,0.0012125722,0.00029475163,0.0029954354,0.0030104106,0.002270973,0.0015008422,0.0010302057,0.03138273],"category_scores_gemma":[0.00095133844,0.0004143418,0.0003271517,0.00372925,0.00038557095,0.0012066725,0.0009559281,0.0006933169,0.0061525083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006916195,0.0007600901,0.06120145,0.00129654,0.000112095644,0.0027639691,0.00097205595,0.05698309,0.04826193,0.026853265,0.42877758,0.37132633],"study_design_scores_gemma":[0.000055437642,0.00019339602,0.06918909,0.00015178234,0.000054674954,0.0006903301,0.0016530384,0.013305421,0.037196845,0.0016552233,0.8757723,0.000082363185],"about_ca_topic_score_codex":0.6544126,"about_ca_topic_score_gemma":0.7105742,"teacher_disagreement_score":0.6544126,"about_ca_system_score_codex":0.011578313,"about_ca_system_score_gemma":0.029248072,"threshold_uncertainty_score":0.6952452},"labels":[],"label_agreement":null},{"id":"W2911329743","doi":"10.32006/eeep.2018.2.6473","title":"GENERALIZED APPROACH FOR FEASIBILITY STUDY OF HYBRID SYSTEMS WITH RENEWABLE ENERGY SOURCES","year":2018,"lang":"en","type":"article","venue":"Ecological Engineering and Environment Protection","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Agence Universitaire de la Francophonie; Fonds National de la Recherche Luxembourg","keywords":"Sizing; Renewable energy; Photovoltaic system; Hybrid system; Wind power; Grid; Computer science; Automotive engineering; Energy storage; Process engineering; Electrical engineering; Engineering; Power (physics); Mathematics; Physics","score_opus":0.010656749363110143,"score_gpt":0.16669214456596745,"score_spread":0.1560353952028573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911329743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009697432,0.0001950137,0.9789545,0.00008836426,0.000032709904,0.000114089766,0.000049603514,0.000062780346,0.010805481],"genre_scores_gemma":[0.64517796,0.0008147801,0.33939338,0.00012128783,0.00010943761,0.0009889223,0.0001963972,0.00013688876,0.013061012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994838,0.00027911863,0.000015906651,0.000062174986,0.00011293244,0.00004594133],"domain_scores_gemma":[0.9991953,0.0005088006,0.0000538492,0.00004385857,0.00017447273,0.000023736493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015395193,0.0013036925,0.00079433294,0.0011768546,0.00048499028,0.0012957223,0.0010731586,0.0011495622,0.009187954],"category_scores_gemma":[0.0028397553,0.00052092527,0.0013700697,0.0006548754,0.0006888066,0.0012488908,0.0014623731,0.0010909516,0.0007148818],"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":[0.000088055785,0.00006452684,0.00055628404,0.00038384803,0.00007556489,0.00057506084,0.00019182063,0.8703349,0.006774775,0.092462756,0.001048087,0.027444348],"study_design_scores_gemma":[0.0000110154615,0.000053764874,0.000088422246,0.000022432056,0.000014146642,0.000043445056,0.000064413514,0.9769557,0.00042309376,0.020676734,0.0016384973,0.000008371822],"about_ca_topic_score_codex":0.0023554729,"about_ca_topic_score_gemma":0.0025143991,"teacher_disagreement_score":0.009187954,"about_ca_system_score_codex":0.00048610015,"about_ca_system_score_gemma":0.00078763894,"threshold_uncertainty_score":0.030736804},"labels":[],"label_agreement":null},{"id":"W2911536666","doi":"10.1109/lcn.2018.8638126","title":"Multi-Level Fog Based Resource Allocation Model for EVs Energy Planning in Smart Grid","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Schedule; Workload; Grid; Distributed computing; Queueing theory; Efficient energy use; Real-time computing; Computer network; Engineering; Operating system","score_opus":0.03589916388436967,"score_gpt":0.2485396436727799,"score_spread":0.21264047978841022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911536666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06066637,0.00045426935,0.9289212,0.0005308154,0.00013414737,0.00007822583,0.0004068601,0.00034722334,0.008460864],"genre_scores_gemma":[0.959764,0.00033705423,0.03522872,0.00010077114,0.000042770513,0.00010331287,0.0001736435,0.000039823255,0.004209834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965453,0.00007964103,0.000013728458,0.00008312708,0.000056638568,0.00011244529],"domain_scores_gemma":[0.99972016,0.00013291536,0.000035544814,0.000018815233,0.000055748173,0.000036793183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004951273,0.000688609,0.00078258885,0.00033019806,0.00046169123,0.0011885524,0.0012710352,0.000918054,0.0024072474],"category_scores_gemma":[0.00091004214,0.00045966683,0.00077810197,0.00054546376,0.0004793137,0.00105272,0.0005649598,0.00081607874,0.00023468965],"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":[0.000032063093,0.000013613434,0.00028278652,0.000018300998,0.000011797906,0.000047278925,0.000021648078,0.9887165,0.00045673805,0.007440535,0.0004832182,0.0024754473],"study_design_scores_gemma":[0.0000027151957,0.000004482428,0.00004881923,0.0000011315134,0.0000028596196,0.0000035181804,0.0000045813663,0.9984554,0.000052800773,0.0012921063,0.00012998129,0.0000015481846],"about_ca_topic_score_codex":0.023118779,"about_ca_topic_score_gemma":0.021388914,"teacher_disagreement_score":0.023118779,"about_ca_system_score_codex":0.0015979246,"about_ca_system_score_gemma":0.0015982684,"threshold_uncertainty_score":0.045968473},"labels":[],"label_agreement":null},{"id":"W2911721686","doi":"10.1016/j.rser.2019.01.047","title":"Review of research on V2X technologies, strategies, and operations","year":2019,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":195,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Dalhousie University","funders":"Natural Resources Canada","keywords":"Backup; Context (archaeology); Reliability (semiconductor); Service (business); Engineering; Computer science; Transport engineering; Business; Marketing","score_opus":0.01646971529909757,"score_gpt":0.2769487869644442,"score_spread":0.2604790716653466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911721686","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007289752,0.99110717,0.0007582095,0.00057283655,0.00046556405,0.0000103014945,0.000052028518,0.000015337051,0.0062896297],"genre_scores_gemma":[0.004255043,0.9918075,0.0006903972,0.00023675925,0.0003238888,0.000010116154,0.00008378061,0.0000066040984,0.0025859175],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994661,0.00007912959,0.00005320713,0.00009393815,0.00024494473,0.00006256997],"domain_scores_gemma":[0.99894947,0.0005020923,0.000114614995,0.000033831566,0.00036041296,0.000039642346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010814045,0.00084687833,0.0008528392,0.0021382703,0.00037490175,0.0019437225,0.0011014416,0.0009451655,0.007338358],"category_scores_gemma":[0.0014308875,0.00033139833,0.00053379434,0.0036043616,0.00041271313,0.0025836674,0.00066008844,0.0010094489,0.0018944073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001507914,0.000110093584,0.00037873792,0.018613918,0.00007887026,0.00008322284,0.00007976754,0.0021336125,0.0052940003,0.025309794,0.04979003,0.89797705],"study_design_scores_gemma":[0.0000113281685,0.00019284266,0.0007098025,0.004348354,0.00008641361,0.00024759438,0.00011804785,0.00040693063,0.0020996523,0.0047125276,0.9870459,0.000020637124],"about_ca_topic_score_codex":0.0028994016,"about_ca_topic_score_gemma":0.0041235513,"teacher_disagreement_score":0.007338358,"about_ca_system_score_codex":0.001162561,"about_ca_system_score_gemma":0.0023822985,"threshold_uncertainty_score":0.024549186},"labels":[],"label_agreement":null},{"id":"W2912900349","doi":"10.5755/j01.eie.25.1.22730","title":"Energy Flows Management of Multiple Electric Vehicles in Smart Grid","year":2019,"lang":"en","type":"article","venue":"Elektronika ir Elektrotechnika","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Microgrid; Dispatchable generation; Automotive engineering; Electric vehicle; Energy storage; Photovoltaic system; Energy management; Peaking power plant; Smart grid; Distributed generation; Grid; Voltage; Power (physics); Engineering; Computer science; Energy (signal processing); Electrical engineering; Renewable energy","score_opus":0.0030483768143975856,"score_gpt":0.17199616458173875,"score_spread":0.16894778776734115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912900349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49833047,0.0009694308,0.48547482,0.00039071377,0.0001416598,0.00011595703,0.00016593392,0.0011677124,0.013243341],"genre_scores_gemma":[0.9934854,0.000087059445,0.0052270056,0.000013211787,0.000008193876,0.000011345518,0.00003148259,0.000011145713,0.0011251383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998826,0.000030073263,0.000006927736,0.00002993714,0.00002807334,0.000022358146],"domain_scores_gemma":[0.9998872,0.000032211785,0.000025749407,0.00001261848,0.000028663695,0.000013580143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020053536,0.00034710995,0.0002709409,0.0003565686,0.00031559484,0.00067865243,0.00033883404,0.0001902195,0.0012491976],"category_scores_gemma":[0.00034443624,0.00011679743,0.00019261223,0.00028758,0.00021998482,0.0008601324,0.0005063907,0.00019758043,0.00014489512],"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":[0.00028712905,0.00012414317,0.0032509759,0.00008593621,0.000049178194,0.00023410798,0.0001078766,0.81296086,0.012952915,0.011975943,0.0014459038,0.15652508],"study_design_scores_gemma":[0.000014861847,0.00006449913,0.001009766,0.0000070461165,0.000013971017,0.000053056356,0.00008309488,0.98427814,0.0040903,0.008052504,0.0023239043,0.000008855089],"about_ca_topic_score_codex":0.0021907215,"about_ca_topic_score_gemma":0.0021715509,"teacher_disagreement_score":0.0021907215,"about_ca_system_score_codex":0.00048546318,"about_ca_system_score_gemma":0.00031007556,"threshold_uncertainty_score":0.0043559074},"labels":[],"label_agreement":null},{"id":"W2913657240","doi":"10.1109/tsg.2019.2896697","title":"PEV Charging Infrastructure Siting Based on Spatial–Temporal Traffic Flow Distribution","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":45,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Profitability index; Benchmark (surveying); Traffic flow (computer networking); Greenhouse gas; Integer programming; Flow network; Transport engineering; Mathematical optimization; Engineering; Geography","score_opus":0.0037838653792221333,"score_gpt":0.1800567808709326,"score_spread":0.17627291549171048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913657240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25720826,0.0002454953,0.7351843,0.00040205877,0.000092265625,0.00021365787,0.0021026772,0.0010579935,0.0034932038],"genre_scores_gemma":[0.96199346,0.00016765208,0.03238363,0.000043704265,0.000025618327,0.00011210132,0.0027071885,0.00004626456,0.0025204334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942315,0.00009915735,0.000028948385,0.00024162118,0.0000937014,0.0001134596],"domain_scores_gemma":[0.9993261,0.00020642849,0.00014989846,0.000081762904,0.00016541814,0.000070424365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006656516,0.0009300887,0.0007840086,0.0012664475,0.00048164584,0.000995377,0.00211279,0.0008705715,0.0018390407],"category_scores_gemma":[0.0020226047,0.0005429964,0.0011814872,0.0020980332,0.0005557187,0.0019148799,0.00082064146,0.00087496697,0.0003681363],"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":[0.000078949466,0.00006745767,0.006502266,0.000040794483,0.000032354357,0.0000697571,0.000036607962,0.9673333,0.0014338538,0.0048952755,0.0010475742,0.018461881],"study_design_scores_gemma":[0.00000216012,0.0000131020715,0.00078681996,0.000002342477,0.0000062846984,0.00001722069,0.000018644507,0.99756587,0.00022625021,0.0011536853,0.00020290728,0.000004847036],"about_ca_topic_score_codex":0.020225136,"about_ca_topic_score_gemma":0.023947006,"teacher_disagreement_score":0.020225136,"about_ca_system_score_codex":0.0014812709,"about_ca_system_score_gemma":0.0011968578,"threshold_uncertainty_score":0.040214837},"labels":[],"label_agreement":null},{"id":"W2913928492","doi":"10.1016/j.trd.2019.01.027","title":"Modeling the GHG emissions intensity of plug-in electric vehicles using short-term and long-term perspectives","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Environment and Climate Change Canada; Canadian Association of Petroleum Producers; BC Hydro; Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Electricity; Environmental science; Term (time); Energy intensity; Efficient energy use; Natural resource economics; Agricultural economics; Environmental engineering; Environmental economics; Engineering; Economics","score_opus":0.0282846697959402,"score_gpt":0.268500428208372,"score_spread":0.2402157584124318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913928492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92896575,0.0009931311,0.049051188,0.00075103005,0.00015824768,0.00004756825,0.0016359293,0.00016740352,0.018229762],"genre_scores_gemma":[0.99189806,0.0002619116,0.0016693196,0.000032922002,0.000020191064,0.000027191845,0.0004168796,0.000034637593,0.0056389146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998105,0.0000401665,0.000008507623,0.000051654344,0.00002853206,0.000060739843],"domain_scores_gemma":[0.99969006,0.00014423348,0.000035578032,0.000019326699,0.00008254016,0.000028154553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425192,0.00091558887,0.00051971315,0.00044217822,0.00040110978,0.0013884235,0.0013825888,0.0022393335,0.002387216],"category_scores_gemma":[0.00095233147,0.0005884068,0.0016094132,0.0008407131,0.00071170024,0.0018027683,0.0004685739,0.0010302454,0.00032963254],"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":[0.000042991094,0.00003337432,0.0017826417,0.000019576257,0.000024583698,0.00005025967,0.000010453971,0.99452025,0.0011362635,0.001055477,0.00011632685,0.0012078466],"study_design_scores_gemma":[0.0000058046603,0.000024435616,0.0014303239,0.0000047609465,0.000023030176,0.000011725925,0.000029283787,0.99665254,0.0006518045,0.0007853034,0.00037145874,0.000009652044],"about_ca_topic_score_codex":0.05802781,"about_ca_topic_score_gemma":0.0449671,"teacher_disagreement_score":0.05802781,"about_ca_system_score_codex":0.0019217968,"about_ca_system_score_gemma":0.001173583,"threshold_uncertainty_score":0.11538011},"labels":[],"label_agreement":null},{"id":"W2914859892","doi":"10.1016/j.energy.2019.01.160","title":"Electricity system and emission impact of direct and indirect electrification of heavy-duty transportation","year":2019,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of British Columbia; Pacific Institute for Climate Solutions; University of Victoria","keywords":"Electrification; Electricity; Renewable energy; Environmental economics; Carbon tax; Flexibility (engineering); Greenhouse gas; Environmental science; Natural resource economics; Business; Automotive engineering; Engineering; Economics","score_opus":0.0024809699535782224,"score_gpt":0.17960578681145317,"score_spread":0.17712481685787496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914859892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946189,0.000055129003,0.00030145448,0.000030959,0.0000050846074,0.00000585754,0.00028441256,0.000007254678,0.004690942],"genre_scores_gemma":[0.9983006,0.000024852008,0.000046191482,0.0000031961063,0.0000014476465,0.0000019251866,0.00020192916,0.000003253628,0.0014166583],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000025091655,0.00000515985,0.000018138713,0.00002594089,0.000032914017],"domain_scores_gemma":[0.99976987,0.0000964405,0.000021009459,0.0000132152145,0.00007987569,0.000019622714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015955111,0.0001907926,0.00012854933,0.0002922988,0.00021619356,0.00046539176,0.00022167705,0.00026610517,0.004741742],"category_scores_gemma":[0.00039704557,0.000099570854,0.00031275564,0.0003328466,0.00020490313,0.0004864515,0.00033054705,0.0002492463,0.0002776932],"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":[0.0038009423,0.0007459494,0.5825964,0.00024360746,0.00056521397,0.0018069709,0.00040503033,0.28898972,0.06452159,0.013363237,0.0025528457,0.040408503],"study_design_scores_gemma":[0.0000633458,0.00045460757,0.84454024,0.000023645098,0.0002128806,0.00023578345,0.0010143663,0.12589599,0.01996982,0.0037558405,0.0037935034,0.00003999358],"about_ca_topic_score_codex":0.014720306,"about_ca_topic_score_gemma":0.017823586,"teacher_disagreement_score":0.014720306,"about_ca_system_score_codex":0.00069708546,"about_ca_system_score_gemma":0.00026665503,"threshold_uncertainty_score":0.029269278},"labels":[],"label_agreement":null},{"id":"W2916492373","doi":"10.2172/1134411","title":"Observations from The EV Project in Q4 2013","year":2014,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Environmental science; Transport engineering; Aeronautics; Statistics; Engineering; Geography; Mathematics; Archaeology","score_opus":0.03454082868637261,"score_gpt":0.2448681136117265,"score_spread":0.2103272849253539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916492373","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70516676,0.00041307308,0.003804288,0.0018546527,0.00033803916,0.00042832294,0.17591439,0.0012941408,0.11078637],"genre_scores_gemma":[0.6653541,0.0011455124,0.0034651756,0.00078754366,0.00018346884,0.0006350811,0.2303108,0.00073598087,0.09738236],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9983114,0.00016957296,0.00007460651,0.0001563118,0.0010161034,0.00027197177],"domain_scores_gemma":[0.9967661,0.00021465174,0.00036058886,0.00020467311,0.002229391,0.00022454369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001500665,0.0005214253,0.0003726846,0.0016380512,0.0013131564,0.0009806822,0.0007547414,0.0006863029,0.0048350785],"category_scores_gemma":[0.0032997145,0.00034605048,0.00039423272,0.0018011634,0.00031063837,0.0006803861,0.0021266069,0.0009434637,0.0043699564],"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":[0.0014948345,0.0006229496,0.43837103,0.00037640554,0.00012722705,0.0011580472,0.005720827,0.0025108329,0.0056919134,0.0026686506,0.47470155,0.06655562],"study_design_scores_gemma":[0.000030563522,0.0003170555,0.78256434,0.00012795268,0.00003006547,0.00020255934,0.004210171,0.0008521889,0.0036828166,0.0005782968,0.2073367,0.00006733392],"about_ca_topic_score_codex":0.11360178,"about_ca_topic_score_gemma":0.14991806,"teacher_disagreement_score":0.11360178,"about_ca_system_score_codex":0.0013831202,"about_ca_system_score_gemma":0.0018876913,"threshold_uncertainty_score":0.2258811},"labels":[],"label_agreement":null},{"id":"W2921978939","doi":"10.1016/j.egypro.2019.02.206","title":"The potential of variable speed diesel application in increasing renewable energy source penetration","year":2019,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"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":"Office of Naval Research Global; Australian Research Council; Office of Naval Research; Ontario Ministry of Economic Development and Innovation","keywords":"Diesel fuel; Diesel generator; Automotive engineering; Renewable energy; Fuel efficiency; Engineering; Flexibility (engineering); Diesel engine; Process engineering; Electrical engineering","score_opus":0.0016961577066356127,"score_gpt":0.15684137023990732,"score_spread":0.1551452125332717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921978939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83927697,0.004819093,0.09497614,0.00048595254,0.00014913092,0.00009862773,0.00034408542,0.0005203166,0.059329495],"genre_scores_gemma":[0.9858271,0.0009718509,0.008666425,0.00003314202,0.000015483098,0.000013632314,0.00011100928,0.000033072938,0.0043282523],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998265,0.000033878423,0.000010477035,0.000029865316,0.00007208797,0.000027167975],"domain_scores_gemma":[0.9997253,0.0001073365,0.000041233154,0.00003173333,0.00007907955,0.000015322788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024475568,0.0003708839,0.00020912282,0.00059360854,0.00018769914,0.0007188867,0.00053267385,0.00043397825,0.002733187],"category_scores_gemma":[0.00036333263,0.0001392433,0.0003652328,0.00069620844,0.00018538316,0.00059925334,0.00034577018,0.0002729045,0.0007009325],"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":[0.0007959329,0.00037533278,0.018889632,0.00093876733,0.00007609286,0.0005691659,0.000119276694,0.10228069,0.40914482,0.009059854,0.0012409504,0.45650956],"study_design_scores_gemma":[0.00010609318,0.007313072,0.057331286,0.00024632542,0.0002333081,0.002194497,0.00048499982,0.15288967,0.66048515,0.010098171,0.10842623,0.0001912566],"about_ca_topic_score_codex":0.0007279214,"about_ca_topic_score_gemma":0.0018696088,"teacher_disagreement_score":0.002733187,"about_ca_system_score_codex":0.0002442503,"about_ca_system_score_gemma":0.00015127803,"threshold_uncertainty_score":0.009143472},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94668,0.00018917037,0.03929424,0.00016473506,0.000034040357,0.00007852639,0.00047162094,0.00015108206,0.0129364645],"genre_scores_gemma":[0.9944376,0.00006425722,0.0039536767,0.000007677212,0.0000029713935,0.000032209216,0.00010943465,0.000011736499,0.001380504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997795,0.00010040868,0.000007756048,0.000025670457,0.000029062265,0.000057575835],"domain_scores_gemma":[0.99955815,0.00027290572,0.000042496526,0.000027382062,0.000058981514,0.000040013616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041287547,0.0005404243,0.0008252871,0.00054162944,0.00037712202,0.000831136,0.0006598463,0.00092050165,0.002117595],"category_scores_gemma":[0.0008209696,0.00033606432,0.0008202724,0.00096385635,0.00044144772,0.0004754891,0.00053878507,0.0005821255,0.00016370352],"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":[0.000024937697,0.000019343512,0.00077124854,0.000012274922,0.000008157629,0.000039577288,0.000008398317,0.99782205,0.00026995767,0.00032593307,0.000049954055,0.0006482699],"study_design_scores_gemma":[0.000013223211,0.00004141373,0.0006263451,0.0000020826762,0.0000074558116,0.00000902958,0.000032234348,0.9985857,0.00032980187,0.00017298362,0.00017575115,0.0000040120026],"about_ca_topic_score_codex":0.01704836,"about_ca_topic_score_gemma":0.010796401,"teacher_disagreement_score":0.01704836,"about_ca_system_score_codex":0.0009707355,"about_ca_system_score_gemma":0.0006482555,"threshold_uncertainty_score":0.033898234},"labels":[],"label_agreement":null},{"id":"W2932220697","doi":"10.1109/tsg.2018.2863247","title":"Hydrogen Storage Optimal Scheduling for Fuel Supply and Capacity-Based Demand Response Program Under Dynamic Hydrogen Pricing","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":235,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Profitability index; Demand response; Hydrogen vehicle; Environmental economics; Profit (economics); Revenue; Industrial organization; Business; Electricity; Computer science; Microeconomics; Economics; Finance; Hydrogen fuel; Fuel cells; Engineering","score_opus":0.00920234482736388,"score_gpt":0.22854940184630235,"score_spread":0.21934705701893847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932220697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23312068,0.0007098972,0.73419315,0.0015621365,0.00017842378,0.00036300175,0.0005975523,0.00033456663,0.02894065],"genre_scores_gemma":[0.9772808,0.00016991202,0.017449379,0.000075319156,0.000022692102,0.00011117605,0.000103233215,0.000037606875,0.0047499035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951065,0.00015953103,0.000013268861,0.00008758719,0.00006185415,0.0001671415],"domain_scores_gemma":[0.99924064,0.0004264951,0.00010600575,0.000025238482,0.00010402116,0.000097667595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009319835,0.0008958269,0.0013251764,0.00040756416,0.0004412275,0.0013334404,0.0010341351,0.0012218597,0.004806337],"category_scores_gemma":[0.001787228,0.00059147604,0.0006244015,0.00047778006,0.0007347133,0.00081770215,0.0009036801,0.0012954738,0.00027096158],"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":[0.00005279497,0.000028199345,0.00016761094,0.00002204929,0.000008611295,0.00004021021,0.000013974553,0.9928785,0.00027166095,0.004339898,0.00038400185,0.0017924014],"study_design_scores_gemma":[0.000007879994,0.00001398381,0.000038912174,0.000001417261,0.0000028347936,0.0000027841293,0.000007968563,0.9987907,0.00006299768,0.0009806306,0.000088129666,0.0000018016881],"about_ca_topic_score_codex":0.012431058,"about_ca_topic_score_gemma":0.009861769,"teacher_disagreement_score":0.012431058,"about_ca_system_score_codex":0.0019860873,"about_ca_system_score_gemma":0.0022368012,"threshold_uncertainty_score":0.02471739},"labels":[],"label_agreement":null},{"id":"W2935892411","doi":"10.1021/acs.est.9b01519","title":"Marginal Greenhouse Gas Emissions of Ontario’s Electricity System and the Implications of Electric Vehicle Charging","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Independent Electricity System Operator","keywords":"Greenhouse gas; Electricity; Environmental science; Electrification; Electricity generation; Electric vehicle; Gasoline; Environmental engineering; Automotive engineering; Engineering; Waste management; Electrical engineering; Power (physics)","score_opus":0.002315578524995834,"score_gpt":0.16609979571770145,"score_spread":0.1637842171927056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935892411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899997,0.00016290358,0.0011270967,0.00029406574,0.0000053553117,0.000018676943,0.0015171353,0.00002233948,0.006852754],"genre_scores_gemma":[0.99868757,0.00006157947,0.0002441827,0.000009008593,9.547433e-7,0.000003477762,0.0003048008,0.0000030765107,0.0006854193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996785,0.00007026931,0.000009699342,0.000036618552,0.00008847339,0.000116542666],"domain_scores_gemma":[0.99946624,0.00017108512,0.00005141543,0.000029249459,0.00023323849,0.0000487033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031661434,0.000202721,0.00013552001,0.00023139457,0.0006091232,0.00076450326,0.00043058992,0.0001706424,0.0010736801],"category_scores_gemma":[0.0016160051,0.0001276525,0.0002957907,0.000750737,0.00047499323,0.00035912482,0.00023768285,0.00018952703,0.00006368626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040387642,0.000071466566,0.5622877,0.00016249737,0.00016563757,0.000505508,0.0009954151,0.39282185,0.0036978924,0.010973674,0.0034539008,0.024460617],"study_design_scores_gemma":[0.000038061593,0.00008596261,0.7881141,0.000037589252,0.000083031395,0.00006979925,0.002275366,0.19495273,0.0017688288,0.00233867,0.010178333,0.000057596444],"about_ca_topic_score_codex":0.9773227,"about_ca_topic_score_gemma":0.98607045,"teacher_disagreement_score":0.022677302,"about_ca_system_score_codex":0.019328317,"about_ca_system_score_gemma":0.009242099,"threshold_uncertainty_score":0.14023745},"labels":[],"label_agreement":null},{"id":"W2938169104","doi":"10.1016/j.ijhydene.2019.03.173","title":"Transitioning electricity systems: The environmental benefits and economic cost of repurposing surplus electricity in non-conventional end users","year":2019,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ontario Centres of Excellence","keywords":"Electricity; Power to gas; Natural gas; Environmental economics; Incentive; Greenhouse gas; Tonne; Natural gas prices; Electricity generation; Environmental science; Natural resource economics; Business; Waste management; Economics; Engineering; Power (physics); Chemistry; Microeconomics; Electrical engineering","score_opus":0.0034528440942308333,"score_gpt":0.1786862515687673,"score_spread":0.17523340747453647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938169104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985016,0.00042884034,0.0028264527,0.00079856697,0.00002371711,0.0000242521,0.0001772594,0.000017553233,0.010687343],"genre_scores_gemma":[0.9991985,0.000071804054,0.00017780269,0.0000119350425,0.0000044231942,0.0000016577332,0.000024053985,0.0000015313041,0.00050825544],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000071063725,0.000006016248,0.000016832466,0.00003344064,0.000053909887],"domain_scores_gemma":[0.9991216,0.00054328155,0.000086441934,0.0000443549,0.000097520824,0.000106713036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041825447,0.00016261231,0.00017411464,0.00032459982,0.00029925606,0.0013817436,0.0003685034,0.00063571,0.007221713],"category_scores_gemma":[0.0018229237,0.0000971595,0.0003363863,0.0005803143,0.00064476684,0.0021047245,0.00053935265,0.0006897154,0.00022093032],"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":[0.008250457,0.0015645332,0.19933882,0.0005746201,0.00027246197,0.003618208,0.00082518964,0.19943544,0.019621104,0.27171692,0.0067811757,0.28800115],"study_design_scores_gemma":[0.0004148012,0.0026830265,0.32214016,0.0002681603,0.0005354587,0.0024117425,0.013900721,0.32109684,0.015559531,0.29790846,0.02292695,0.00015422393],"about_ca_topic_score_codex":0.004019629,"about_ca_topic_score_gemma":0.0068681575,"teacher_disagreement_score":0.007221713,"about_ca_system_score_codex":0.0009808616,"about_ca_system_score_gemma":0.00053066097,"threshold_uncertainty_score":0.024159014},"labels":[],"label_agreement":null},{"id":"W2941845971","doi":"10.7176/isde/10-3-03","title":"Efficiency for Large Fleets: An Analysis of How Industrial Customers Use Electric and Hybrid Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geotab (Canada)","funders":"","keywords":"Battery (electricity); Computer science; IBM; Automotive engineering; Fleet management; Operations research; Environmental science; Transport engineering; Telecommunications; Engineering","score_opus":0.00936917429675805,"score_gpt":0.2066316640998721,"score_spread":0.19726248980311406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941845971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942344,0.000058398033,0.0013788714,0.00008721079,0.0000021303438,0.000023278231,0.0015844905,0.00002410222,0.0026071654],"genre_scores_gemma":[0.9956749,0.000057650737,0.00085692253,0.000013911089,0.0000035783848,0.00002723659,0.0022218882,0.000015496402,0.0011283952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995296,0.00012757041,0.00004364139,0.00009297155,0.00012941634,0.000076884295],"domain_scores_gemma":[0.9961976,0.0019673526,0.0008059036,0.00023088644,0.0005630405,0.00023534911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077765645,0.00021590474,0.00021150953,0.0024905363,0.00030024917,0.000991733,0.00039933642,0.0003329993,0.0049268752],"category_scores_gemma":[0.0052967397,0.00012515527,0.00042749205,0.003406447,0.00018823825,0.0017197381,0.0006782108,0.00038494673,0.0008570248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012562591,0.00012818712,0.96495074,0.000048907565,0.00008808812,0.00014642265,0.0020170321,0.0031546608,0.0006360225,0.0004895974,0.0010577932,0.027156906],"study_design_scores_gemma":[0.0000024085612,0.00009033663,0.9836579,0.0000112019225,0.000025396292,0.00016615022,0.004992059,0.008776273,0.00026840984,0.00024576287,0.001740713,0.000023433095],"about_ca_topic_score_codex":0.015766814,"about_ca_topic_score_gemma":0.013589192,"teacher_disagreement_score":0.015766814,"about_ca_system_score_codex":0.0006635266,"about_ca_system_score_gemma":0.0002971967,"threshold_uncertainty_score":0.031350076},"labels":[],"label_agreement":null},{"id":"W2944371224","doi":"10.5267/j.ijiec.2019.3.002","title":"Optimal placement of freight electric vehicles charging stations and their impact on the power distribution network","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Driving range; Range (aeronautics); Electric vehicle; Routing (electronic design automation); Battery (electricity); Flow network; Power (physics); Grid; Energy consumption; Linear programming; Computer science; Shortest path problem; Mathematical optimization; Automotive engineering; Operations research; Engineering; Electrical engineering; Computer network; Mathematics","score_opus":0.007883218977784871,"score_gpt":0.21636833235274006,"score_spread":0.20848511337495518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944371224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08855291,0.00057772663,0.89122677,0.00064310996,0.000087541346,0.000099286495,0.00033842746,0.00017216662,0.018302126],"genre_scores_gemma":[0.9492964,0.00061514304,0.03774164,0.000060628896,0.000027413329,0.00013731928,0.00012754432,0.000061247934,0.0119326925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999595,0.00014008177,0.000009711415,0.00008457148,0.000076710254,0.00009396075],"domain_scores_gemma":[0.9996594,0.00018186813,0.00007856628,0.000011461908,0.00004683137,0.000021882332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060962647,0.0009338724,0.0007345645,0.00051223737,0.00049828313,0.0015417961,0.0009737697,0.001308893,0.003370863],"category_scores_gemma":[0.0018325599,0.0006201974,0.00054807577,0.0007973637,0.00068685185,0.0012601622,0.00073634536,0.0008130388,0.00029425073],"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":[0.000010219173,0.000006798653,0.000102872946,0.000009284684,0.0000030757265,0.000024697065,0.0000068380123,0.99467707,0.00020257376,0.003494686,0.00015381236,0.0013080873],"study_design_scores_gemma":[0.0000043170985,0.000013096709,0.000081953396,0.0000032806813,0.000004653358,0.000009385136,0.000021986263,0.9969408,0.00017943903,0.0024336274,0.0003044976,0.0000028669353],"about_ca_topic_score_codex":0.011512571,"about_ca_topic_score_gemma":0.009505801,"teacher_disagreement_score":0.011512571,"about_ca_system_score_codex":0.002166208,"about_ca_system_score_gemma":0.0012715287,"threshold_uncertainty_score":0.022891104},"labels":[],"label_agreement":null},{"id":"W2945413977","doi":"10.1109/tsg.2019.2913818","title":"A Price-Maker/Price-Taker Model for the Operation of Battery Storage Systems in Electricity Markets","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":120,"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 Calgary","funders":"","keywords":"Electricity market; Competitor analysis; Energy storage; Electricity; Energy market; Profit (economics); Computer science; Microeconomics; Economics; Operations research; Business; Engineering; Electrical engineering; Marketing","score_opus":0.008481437693052606,"score_gpt":0.19908680330510165,"score_spread":0.19060536561204905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945413977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06775306,0.0015013199,0.8696817,0.003438498,0.00029415672,0.00037338797,0.0015734276,0.0004366201,0.05494776],"genre_scores_gemma":[0.9266823,0.0011717114,0.031452775,0.00032598997,0.00020443984,0.00054499466,0.0004965129,0.00014077168,0.03898047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985297,0.00059512124,0.000058309844,0.00028640084,0.00024334982,0.00028710256],"domain_scores_gemma":[0.9972934,0.0016800235,0.00040880812,0.00008852793,0.00033435784,0.00019484144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033429752,0.002137429,0.0026655304,0.0010537284,0.0011887017,0.004824968,0.0044227284,0.0051089404,0.011298605],"category_scores_gemma":[0.0064846403,0.0016959017,0.0019873627,0.0016360997,0.0024722244,0.0038283116,0.0021738964,0.0045658257,0.001430408],"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":[0.000047370613,0.00003684259,0.00024505024,0.000041688687,0.000020222835,0.00014894578,0.000047918904,0.9527188,0.0002896419,0.04429932,0.00084178895,0.0012623343],"study_design_scores_gemma":[0.00001275719,0.000014268788,0.00006968389,0.0000044499943,0.000007055813,0.000013241781,0.000014161136,0.9947035,0.000039612132,0.004842585,0.0002686913,0.00001001928],"about_ca_topic_score_codex":0.020471834,"about_ca_topic_score_gemma":0.011992764,"teacher_disagreement_score":0.020471834,"about_ca_system_score_codex":0.0029831906,"about_ca_system_score_gemma":0.0025296346,"threshold_uncertainty_score":0.040705383},"labels":[],"label_agreement":null},{"id":"W2949715751","doi":"10.1109/tii.2019.2923714","title":"Enhancing Power Grid Resilience Through an IEC61850-Based EV-Assisted Load Restoration","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"IEC 61850; Resilience (materials science); Reliability engineering; Control reconfiguration; Distributed computing; Grid; Computer science; Smart grid; Electric power system; Agile software development; Flexibility (engineering); Distributed generation; Demand response; Engineering; Power (physics); Embedded system; Electricity; Automation; Renewable energy; Electrical engineering","score_opus":0.01805662229873747,"score_gpt":0.2313942671968474,"score_spread":0.2133376448981099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949715751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21207866,0.00021318105,0.76122546,0.00021013855,0.00009227426,0.00013995082,0.00006323944,0.004097997,0.021879042],"genre_scores_gemma":[0.9808282,0.000039656028,0.017328154,0.000038285692,0.0000067975448,0.000022168688,0.000038909715,0.000025207097,0.0016725812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984765,0.000028584298,0.000007985947,0.000034992932,0.000051458414,0.00002929323],"domain_scores_gemma":[0.9998852,0.000014001685,0.000025631361,0.00002430147,0.00003727599,0.000013514587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020591178,0.00039371985,0.0002491767,0.0003471851,0.0002620134,0.000380313,0.0006251015,0.00029418286,0.0012544761],"category_scores_gemma":[0.0003440977,0.00008204214,0.00020149424,0.00016596091,0.0002893484,0.00062425964,0.00070720987,0.00030373258,0.00037035818],"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":[0.00043085637,0.00021416479,0.0023314264,0.00014942644,0.000049489234,0.00054192246,0.00020921802,0.63542235,0.08582474,0.016373739,0.0041265753,0.25432602],"study_design_scores_gemma":[0.000023816623,0.00016222014,0.0008632648,0.000012251775,0.000023362249,0.00014959904,0.000047571615,0.97584957,0.015058565,0.0034902664,0.0043024374,0.000016975875],"about_ca_topic_score_codex":0.00087297166,"about_ca_topic_score_gemma":0.0011840583,"teacher_disagreement_score":0.0012544761,"about_ca_system_score_codex":0.00022892538,"about_ca_system_score_gemma":0.00023917983,"threshold_uncertainty_score":0.004196644},"labels":[],"label_agreement":null},{"id":"W2952981919","doi":"10.48550/arxiv.1607.07298","title":"Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"News aggregator; Smart grid; Computer science; Perspective (graphical); Electricity; Electric vehicle; Operations research; Risk analysis (engineering); Business; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.03169435645497188,"score_gpt":0.17433378635397967,"score_spread":0.1426394298990078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952981919","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014617011,0.41135997,0.49873987,0.004910684,0.0014172312,0.00013828142,0.0003659878,0.0003770177,0.06807396],"genre_scores_gemma":[0.18685138,0.68490005,0.11108245,0.0013951646,0.003708731,0.00021059856,0.0008492119,0.00019819012,0.0108042415],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993185,0.00019590236,0.00006128152,0.00013293674,0.00023274097,0.000058697104],"domain_scores_gemma":[0.99906033,0.00067937834,0.00004230339,0.000084316125,0.000112042326,0.0000216092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007426714,0.0010936304,0.001005353,0.001090966,0.0004130957,0.0022791906,0.0012894579,0.0014070864,0.0031482382],"category_scores_gemma":[0.0022970177,0.0005652245,0.0009362372,0.0027805534,0.0008238087,0.0038807935,0.00091342663,0.0015048798,0.0011484174],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006583356,0.0001813531,0.0017339684,0.0047650537,0.00010509294,0.0001712015,0.00021390943,0.081220016,0.0011469785,0.40099785,0.01790217,0.49149656],"study_design_scores_gemma":[0.000030264131,0.00025485794,0.0014685865,0.0016739308,0.0001278118,0.0010413098,0.0005301574,0.15464684,0.0014817474,0.38592294,0.4527234,0.00009815497],"about_ca_topic_score_codex":0.0009741255,"about_ca_topic_score_gemma":0.0007126358,"teacher_disagreement_score":0.0031482382,"about_ca_system_score_codex":0.0008481369,"about_ca_system_score_gemma":0.0010585393,"threshold_uncertainty_score":0.010531843},"labels":[],"label_agreement":null},{"id":"W2955232004","doi":"10.1109/tii.2019.2926779","title":"Supervisory Scheduling of Storage-Based Hydrogen Fueling Stations for Transportation Sector and Distributed Operating Reserve in Electricity Markets","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen storage; Hydrogen vehicle; Environmental economics; Software deployment; Electricity; Electricity market; Renewable energy; Energy storage; Computer science; Profit (economics); Scheduling (production processes); Environmental science; Business; Hydrogen; Hydrogen fuel; Engineering; Electrical engineering; Economics; Fuel cells; Operations management; Operating system","score_opus":0.024464897566947075,"score_gpt":0.21838093382972748,"score_spread":0.1939160362627804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955232004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22729628,0.0003858969,0.75934887,0.0005097873,0.00011472364,0.00018393011,0.0002498114,0.00033998495,0.011570738],"genre_scores_gemma":[0.9928687,0.00008535782,0.005267152,0.000012531903,0.000011122425,0.000055589597,0.000031287193,0.00000907721,0.0016591945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997023,0.000095311036,0.000013234411,0.00007711504,0.00004733955,0.0000647516],"domain_scores_gemma":[0.9994361,0.00026430478,0.00012835617,0.000024385625,0.000074348514,0.000072561925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883453,0.00060121587,0.0008075394,0.00024089582,0.00036481902,0.0011014049,0.0010824584,0.0007232302,0.002608105],"category_scores_gemma":[0.0011116703,0.00035286255,0.00041167636,0.00029713553,0.0007708928,0.00064913655,0.0006476318,0.0008581783,0.0001628654],"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":[0.000056481545,0.000027781964,0.00023935016,0.000020604377,0.0000070122655,0.000043667624,0.000025697618,0.99296737,0.00052662153,0.0036180818,0.0001961135,0.0022712918],"study_design_scores_gemma":[0.000006869196,0.00001598201,0.000051193372,0.0000011904767,0.0000021727212,0.0000023584619,0.0000078902385,0.99914455,0.00010460861,0.000586002,0.00007568914,0.000001430021],"about_ca_topic_score_codex":0.009651429,"about_ca_topic_score_gemma":0.007817867,"teacher_disagreement_score":0.009651429,"about_ca_system_score_codex":0.001239035,"about_ca_system_score_gemma":0.0015947114,"threshold_uncertainty_score":0.01919049},"labels":[],"label_agreement":null},{"id":"W2955336013","doi":"10.1007/s11027-019-09870-9","title":"Wireless charging and shared autonomous battery electric vehicles (W+SABEV): synergies that accelerate sustainable mobility and greenhouse gas emission reduction","year":2019,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; Horace H. Rackham School of Graduate Studies, University of Michigan; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Greenhouse gas; Software deployment; Wireless; Battery (electricity); Sustainability; Battery electric vehicle; Computer science; Sustainable transport; Emerging technologies; Environmental economics; Telecommunications; Economics","score_opus":0.020037108188298035,"score_gpt":0.22767568939741095,"score_spread":0.2076385812091129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955336013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6343249,0.004062595,0.27311364,0.002411626,0.001064876,0.00009940689,0.00029252525,0.0010295308,0.083601],"genre_scores_gemma":[0.99107575,0.0004290101,0.0036310304,0.00007722215,0.000036381447,0.000008768881,0.0000410342,0.000014630526,0.0046861107],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989545,0.000022651973,0.0000037091243,0.000019172812,0.000027308568,0.00003175096],"domain_scores_gemma":[0.9998691,0.00004388137,0.000018021452,0.000019886009,0.000031757394,0.000017400023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022937261,0.0003236796,0.00018242122,0.00020945887,0.00021250994,0.0006716557,0.00045385168,0.00032847558,0.0035690623],"category_scores_gemma":[0.00050549966,0.00007254998,0.00020844837,0.00048170847,0.00030761107,0.0014183741,0.00096872094,0.00026595654,0.00042141037],"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":[0.00089469174,0.0003383013,0.0063870465,0.00045118734,0.00018533632,0.00041971589,0.00016712777,0.15170948,0.042255253,0.10525247,0.0072310837,0.68470824],"study_design_scores_gemma":[0.00022043704,0.0025728752,0.008883982,0.00012471605,0.00033000694,0.001431426,0.0013436863,0.64823776,0.06061063,0.16923699,0.10689898,0.00010847586],"about_ca_topic_score_codex":0.0007807178,"about_ca_topic_score_gemma":0.0018565031,"teacher_disagreement_score":0.0035690623,"about_ca_system_score_codex":0.00017874602,"about_ca_system_score_gemma":0.0003859841,"threshold_uncertainty_score":0.011939704},"labels":[],"label_agreement":null},{"id":"W2955445790","doi":"10.1109/tste.2019.2926456","title":"Optimal Sizing and Scheduling of LOHC-Based Generation and Storage Plants for Concurrent Services to Transportation Sector and Ancillary Services Market","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sizing; Scheduling (production processes); Hydrogen storage; Computer science; Environmental economics; Business; Hydrogen; Engineering; Operations management; Economics; Chemistry","score_opus":0.004270743856431274,"score_gpt":0.18776120806570437,"score_spread":0.1834904642092731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955445790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1764921,0.00065289234,0.80069387,0.0005908223,0.0001320865,0.0003181987,0.0004876672,0.00023426909,0.020398116],"genre_scores_gemma":[0.9643894,0.0002608026,0.030809073,0.000038876653,0.000021376563,0.0001487154,0.00012035257,0.000032125143,0.004179333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996886,0.00009528583,0.000010211622,0.00006775735,0.000064107706,0.000073977404],"domain_scores_gemma":[0.99962735,0.00017186074,0.00008497239,0.000016949723,0.0000574037,0.000041402327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006976374,0.00077573577,0.001114726,0.0004048491,0.00046027865,0.0014237291,0.0009883317,0.0010373129,0.0027404272],"category_scores_gemma":[0.0012211627,0.00072827906,0.0006526252,0.00060522195,0.0006219498,0.00094505027,0.0005391211,0.0009631463,0.00027515553],"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":[0.000015171573,0.000011243407,0.00009689349,0.000009532641,0.0000038756657,0.000012863956,0.0000046753644,0.99684405,0.00026874745,0.0012765443,0.00012777773,0.001328693],"study_design_scores_gemma":[0.0000053911835,0.000011236512,0.0000578733,0.000001054025,0.000002857796,0.000002389227,0.0000048849297,0.9991872,0.00008796486,0.00053916854,0.00009814414,0.0000018040249],"about_ca_topic_score_codex":0.015536514,"about_ca_topic_score_gemma":0.016560381,"teacher_disagreement_score":0.015536514,"about_ca_system_score_codex":0.0021751225,"about_ca_system_score_gemma":0.002640049,"threshold_uncertainty_score":0.030892193},"labels":[],"label_agreement":null},{"id":"W2959278895","doi":"10.1109/tte.2019.2927802","title":"Analytical Size Estimation Methodologies for Electrified Transportation Fueling Infrastructures Using Public–Domain Market Data","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Sizing; Computer science; Solver; Electrification; Software deployment; Public transport; Domain (mathematical analysis); Public domain; Operations research; Estimation; Industrial engineering; Transport engineering; Engineering; Electricity; Systems engineering","score_opus":0.04413283219651249,"score_gpt":0.293685489691001,"score_spread":0.24955265749448852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959278895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011467507,0.00015164656,0.9859865,0.000100477744,0.000008426669,0.000055801756,0.00013379852,0.0001497211,0.0019461168],"genre_scores_gemma":[0.63994616,0.0009597022,0.35324728,0.00008004759,0.0000919819,0.00051352155,0.0009462476,0.00019194822,0.0040230653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993349,0.0002490742,0.00004116575,0.00011829708,0.0001921186,0.00006433842],"domain_scores_gemma":[0.9966624,0.0022791058,0.00037283805,0.00016203178,0.00048782685,0.000035800233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002133841,0.0010477833,0.00069091574,0.0019296968,0.00031364814,0.001182352,0.0011272437,0.00072526594,0.0026924773],"category_scores_gemma":[0.0074725556,0.0005461924,0.000820154,0.0013225306,0.00052360597,0.0015498823,0.0009245882,0.0009043187,0.00036828863],"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":[0.000012684152,0.000026940665,0.0005173777,0.000064182306,0.000013763818,0.0000502549,0.00003972284,0.96078753,0.0009366642,0.010014676,0.00053086673,0.027005268],"study_design_scores_gemma":[0.0000010709618,0.0000047047556,0.000107746,0.00000443815,0.0000020959178,0.000009090995,0.000012949035,0.9967501,0.00032011428,0.0024642064,0.00032135798,0.0000021513335],"about_ca_topic_score_codex":0.0050793816,"about_ca_topic_score_gemma":0.004275581,"teacher_disagreement_score":0.0050793816,"about_ca_system_score_codex":0.0011873698,"about_ca_system_score_gemma":0.0011102787,"threshold_uncertainty_score":0.011285007},"labels":[],"label_agreement":null},{"id":"W2959914275","doi":"10.1016/j.apenergy.2019.113536","title":"Electrification of road transportation with utility controlled charging: A case study for British Columbia with a 93% renewable electricity target","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BC Hydro (Canada); University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Electrification; Renewable energy; Electricity; Environmental economics; Cost of electricity by source; Electricity generation; Mains electricity; Electric vehicle; Software deployment; Electricity retailing; Natural resource economics; Transport engineering; Engineering; Electricity market; Economics; Power (physics)","score_opus":0.0032833668579283623,"score_gpt":0.169034025636791,"score_spread":0.16575065877886266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959914275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725547,0.000056568635,0.00073248026,0.00040474208,0.000008499027,0.00010285427,0.00018820693,0.000034588124,0.025917517],"genre_scores_gemma":[0.9890267,0.00008831476,0.00081065105,0.000044063505,0.000002055617,0.00002315522,0.00012805473,0.0000148610625,0.009862231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994178,0.00013405633,0.000011430869,0.00004543628,0.00014210957,0.0002491671],"domain_scores_gemma":[0.99915063,0.00027450433,0.000042725285,0.00006403295,0.00031222275,0.00015589097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045800718,0.00041889114,0.00028000213,0.00066524185,0.0038515525,0.0019579178,0.0014550152,0.0016893381,0.0041446947],"category_scores_gemma":[0.0017406191,0.0002555168,0.00030916583,0.0017769099,0.0011176426,0.00085338723,0.0009011552,0.0011672437,0.00032838635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020085135,0.0051050386,0.27338982,0.0006698037,0.00033158698,0.07419129,0.012320574,0.3534305,0.015363992,0.05367518,0.042976197,0.16653751],"study_design_scores_gemma":[0.0006387219,0.0013445092,0.30446276,0.00027654035,0.0003313143,0.006217858,0.16085052,0.4255847,0.010312481,0.010696544,0.07888275,0.0004013938],"about_ca_topic_score_codex":0.8825265,"about_ca_topic_score_gemma":0.9423699,"teacher_disagreement_score":0.11747348,"about_ca_system_score_codex":0.0114971865,"about_ca_system_score_gemma":0.009248789,"threshold_uncertainty_score":0.23633057},"labels":[],"label_agreement":null},{"id":"W2961103384","doi":"10.1109/icc.2019.8761138","title":"Decentralized Energy Storage System for EVs Charging and Discharging in Smart Cities Context","year":2019,"lang":"en","type":"article","venue":"","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":"University of Ottawa","funders":"","keywords":"Energy storage; Computer science; Context (archaeology); Scheduling (production processes); Process (computing); Efficient energy use; Distributed computing; Engineering; Electrical engineering; Operating system; Operations management","score_opus":0.004261890611265486,"score_gpt":0.17664590924264928,"score_spread":0.1723840186313838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961103384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32686672,0.00087956496,0.65683204,0.00065371086,0.00011650604,0.0001581214,0.0002513036,0.00057638355,0.013665696],"genre_scores_gemma":[0.994183,0.00008185813,0.0045977933,0.000013099211,0.000011417417,0.000020665046,0.00002816432,0.0000045709776,0.001059517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998355,0.00004991076,0.000009048912,0.000042737127,0.00003227192,0.000030478715],"domain_scores_gemma":[0.99986804,0.000045379653,0.000023910521,0.000013689876,0.000035436544,0.000013473099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021883778,0.00032673095,0.00049612153,0.00014368437,0.00040528277,0.0005277273,0.0005673803,0.00038594307,0.0020791958],"category_scores_gemma":[0.00028160014,0.000119168944,0.00022375617,0.00028176798,0.00026825385,0.00065831933,0.00041853107,0.00028369532,0.0001616811],"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":[0.00027940347,0.000108689215,0.002013825,0.00019188218,0.00004613788,0.00035626168,0.00009843423,0.9267728,0.014145126,0.013464006,0.0016775867,0.04084583],"study_design_scores_gemma":[0.000022419277,0.00008696769,0.000552671,0.0000050602976,0.00001683449,0.00006317357,0.000076122415,0.9922633,0.002297086,0.0034603954,0.0011479342,0.000007992025],"about_ca_topic_score_codex":0.0024298332,"about_ca_topic_score_gemma":0.0042012385,"teacher_disagreement_score":0.0024298332,"about_ca_system_score_codex":0.00048353255,"about_ca_system_score_gemma":0.0007113517,"threshold_uncertainty_score":0.006955564},"labels":[],"label_agreement":null},{"id":"W2963501408","doi":"10.1016/j.trd.2019.07.014","title":"Corrigendum to “What hinders adoption of the electric bus in Canadian transit? Perspectives of transit providers” [Transport. Res. Part D-Transport and Environ. 64 (2018) 134–149]","year":2019,"lang":"en","type":"erratum","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transit (satellite); Transport engineering; Public transport; Bus rapid transit; Business; Engineering","score_opus":0.015614241427105944,"score_gpt":0.21802360852834268,"score_spread":0.20240936710123675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963501408","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022899981,0.003923992,0.00022860551,0.19357204,0.7816282,0.00008265193,0.0047305394,0.00025706095,0.01534793],"genre_scores_gemma":[0.0093323905,0.015366876,0.0016589073,0.3277534,0.121736355,0.00037017377,0.007462702,0.0006505137,0.5156688],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99369085,0.00042829866,0.0006452236,0.0007019684,0.0033738439,0.0011597667],"domain_scores_gemma":[0.95861226,0.003187135,0.0008934118,0.0008218679,0.03517231,0.0013130788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036409912,0.0022605022,0.0023907197,0.0053942446,0.009278716,0.005670731,0.004970266,0.012391339,0.08204652],"category_scores_gemma":[0.035825994,0.0010413488,0.002774114,0.004951809,0.0025042077,0.002494744,0.003453151,0.009820011,0.03064305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029055404,0.0000021541136,0.000034475615,0.00002780394,0.0000020242685,0.000033574244,0.000017921877,0.00001055844,0.0000070368324,0.000113256785,0.9986513,0.0010968383],"study_design_scores_gemma":[0.000016597876,0.000010486794,0.0029586388,0.000401122,0.00004256466,0.000069993315,0.000429644,0.00013943616,0.00012669487,0.00035781067,0.99538475,0.000062322724],"about_ca_topic_score_codex":0.8252751,"about_ca_topic_score_gemma":0.87837356,"teacher_disagreement_score":0.17472488,"about_ca_system_score_codex":0.024790669,"about_ca_system_score_gemma":0.03888348,"threshold_uncertainty_score":0.35150772},"labels":[],"label_agreement":null},{"id":"W2963540437","doi":"10.1109/tits.2019.2926336","title":"Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Computer science; Scheduling (production processes); Electric vehicle; Iterative method; Operations research; Mathematical optimization; Engineering; Microeconomics; Economics; Algorithm","score_opus":0.03844765430078451,"score_gpt":0.25777704836662724,"score_spread":0.21932939406584273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963540437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027051838,0.000083080806,0.9687396,0.0001185621,0.00002239549,0.00017680028,0.000036249516,0.00008453364,0.003686956],"genre_scores_gemma":[0.75561893,0.00014029311,0.24065295,0.000067131565,0.000029547988,0.00023045346,0.00006229092,0.00005623894,0.0031421857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99642015,0.0020558308,0.00015405753,0.00032953703,0.00069761125,0.0003428609],"domain_scores_gemma":[0.99700886,0.0016277405,0.00034094002,0.0003235568,0.00045956532,0.00023925937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005359449,0.0008519056,0.001347959,0.0005530532,0.0006447032,0.0021449255,0.002658694,0.0011662701,0.0023908392],"category_scores_gemma":[0.00804941,0.0007659737,0.0009725722,0.0010501617,0.0010832316,0.002750689,0.0011514435,0.0014249635,0.00035486402],"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":[0.00042922448,0.00030736314,0.0010596653,0.00018790022,0.000121263125,0.00028377987,0.0004253798,0.83590585,0.0063450234,0.10548695,0.0014167123,0.04803088],"study_design_scores_gemma":[0.000060326587,0.00011492562,0.000117248,0.0000069680286,0.000019779733,0.00009208536,0.00004607209,0.974755,0.0007681096,0.02312412,0.0008775103,0.000017759256],"about_ca_topic_score_codex":0.001526356,"about_ca_topic_score_gemma":0.0015181055,"teacher_disagreement_score":0.005359449,"about_ca_system_score_codex":0.0014200081,"about_ca_system_score_gemma":0.0024940702,"threshold_uncertainty_score":0.028343856},"labels":[],"label_agreement":null},{"id":"W2965470587","doi":"10.1016/j.egyr.2019.07.017","title":"Market diffusion of alternative fuels and powertrains in heavy-duty vehicles: A literature review","year":2019,"lang":"en","type":"review","venue":"Energy Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Truck; European union; Heavy duty; Greenhouse gas; Powertrain; Road transport; Market share; Transport engineering; Business; Environmental science; Engineering; Automotive engineering; International trade; Finance","score_opus":0.008595993449083787,"score_gpt":0.2435792755373453,"score_spread":0.2349832820882615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965470587","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005397646,0.98634875,0.0006351977,0.0014713372,0.0001876497,0.00003385223,0.00029442884,0.000008028342,0.005623023],"genre_scores_gemma":[0.023838604,0.9743652,0.00053969247,0.0002930619,0.00020949861,0.000024509494,0.00018226968,0.000005541774,0.0005415697],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987627,0.0002979716,0.00020262308,0.00022582174,0.0004286239,0.00008222478],"domain_scores_gemma":[0.9882683,0.009282331,0.000993143,0.000107275686,0.0012362833,0.00011270876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002255629,0.00081175915,0.0010977512,0.005889628,0.00050782895,0.0033989763,0.00082316925,0.0016039144,0.0056095207],"category_scores_gemma":[0.007858503,0.0005022479,0.001520268,0.0108432565,0.0006798358,0.004163353,0.000655429,0.000957049,0.0005014139],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017233772,0.00024344456,0.008733431,0.15152685,0.0008084143,0.00081629143,0.0023725077,0.0037438758,0.0007758753,0.05001466,0.02598991,0.7548024],"study_design_scores_gemma":[0.00003358587,0.00031022233,0.03595329,0.15633701,0.0023054052,0.0016952698,0.0060109156,0.0034048827,0.0010969848,0.019278213,0.77340883,0.00016542412],"about_ca_topic_score_codex":0.008510469,"about_ca_topic_score_gemma":0.009490746,"teacher_disagreement_score":0.008510469,"about_ca_system_score_codex":0.0019793983,"about_ca_system_score_gemma":0.0039626937,"threshold_uncertainty_score":0.018765688},"labels":[],"label_agreement":null},{"id":"W2965551954","doi":"10.1002/9781118755471.sgd049","title":"Active Management of Electric Vehicles Acting as Distributed Storage","year":2016,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Dependency (UML); Renewable energy; Electric vehicle; Environmental economics; European union; Business; Quarter (Canadian coin); Environmental science; Natural resource economics; Transport engineering; Engineering; International trade; Economics; Electrical engineering","score_opus":0.0035658944899661774,"score_gpt":0.20354194626568117,"score_spread":0.199976051775715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965551954","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23938511,0.0017567487,0.72702676,0.00032169855,0.00026760943,0.0002329531,0.00028707346,0.003217242,0.027504805],"genre_scores_gemma":[0.9791054,0.00021982878,0.014583167,0.000024121524,0.000017908676,0.00003757812,0.00008333747,0.00003059984,0.0058981106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984515,0.000035558685,0.000010244282,0.000041197414,0.000047395373,0.000020354464],"domain_scores_gemma":[0.9998379,0.000043857028,0.000016034212,0.00003055469,0.00005987095,0.0000118059515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021219064,0.0005331526,0.00029498947,0.00026090982,0.00026328175,0.0012000764,0.0007937877,0.0002962617,0.0037102445],"category_scores_gemma":[0.00030092863,0.00011564146,0.00022551502,0.00020704912,0.00026394753,0.0008242807,0.0004268568,0.0002742671,0.00060016074],"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":[0.00080025033,0.0004319718,0.0028609554,0.0005706312,0.00010428839,0.00048615577,0.00032412936,0.40921995,0.10663282,0.028008198,0.0058119786,0.44474876],"study_design_scores_gemma":[0.00003800437,0.00012589023,0.00046108456,0.000022632932,0.000030896423,0.00007807487,0.00012408869,0.9424987,0.038401403,0.00575607,0.0124484105,0.0000146884095],"about_ca_topic_score_codex":0.001308658,"about_ca_topic_score_gemma":0.0013448591,"teacher_disagreement_score":0.0037102445,"about_ca_system_score_codex":0.00039522987,"about_ca_system_score_gemma":0.00026580621,"threshold_uncertainty_score":0.012412012},"labels":[],"label_agreement":null},{"id":"W2965591553","doi":"10.1109/npsc.2018.8771729","title":"Coordinated Charging of Electric Vehicles for Reducing Operation Cost Under TOU Electricity Prices","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Battery (electricity); Incentive; Automotive engineering; Mode (computer interface); Work (physics); Electricity price; Energy storage; Cost reduction; Environmental economics; Electric vehicle; Grid; Environmental science; Computer science; Business; Electrical engineering; Power (physics); Economics; Engineering; Microeconomics; Mathematics","score_opus":0.009571432735308276,"score_gpt":0.2303027783882211,"score_spread":0.22073134565291283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965591553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8983735,0.00027537398,0.08669225,0.00018673402,0.000050315994,0.00022933942,0.00019762696,0.00022189155,0.013772956],"genre_scores_gemma":[0.9973411,0.000032725682,0.0023168668,0.00000551931,0.0000021500095,0.00001422745,0.000021237833,0.0000073610836,0.00025883934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933594,0.00020646969,0.000018737393,0.00007464961,0.00018517126,0.00017903977],"domain_scores_gemma":[0.9994937,0.00020591567,0.00010336755,0.000046497524,0.000095794654,0.00005460709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057036604,0.0007094814,0.0006447254,0.0006152308,0.0005007567,0.0014464104,0.0009678206,0.0004629523,0.0015024208],"category_scores_gemma":[0.0015122397,0.00031548052,0.0005057616,0.0009568513,0.0003393885,0.0010908216,0.00062025915,0.00036646132,0.00009737691],"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":[0.0002655119,0.00015956006,0.006610586,0.00007221764,0.00008434245,0.0002548294,0.00004744281,0.9531858,0.004038693,0.004952212,0.00057057635,0.02975829],"study_design_scores_gemma":[0.000055552828,0.00055325514,0.014183315,0.000011477954,0.00014113905,0.00019854316,0.00050957705,0.97326964,0.004976856,0.004280391,0.0017878559,0.00003248013],"about_ca_topic_score_codex":0.01087276,"about_ca_topic_score_gemma":0.016027583,"teacher_disagreement_score":0.01087276,"about_ca_system_score_codex":0.0014543938,"about_ca_system_score_gemma":0.0015417396,"threshold_uncertainty_score":0.021618903},"labels":[],"label_agreement":null},{"id":"W2966339748","doi":"10.1002/er.4728","title":"Addition of hydrogen refueling for fuel cell bus fleet to existing natural gas stations: A case study in Wuhan, China","year":2019,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"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":"State Administration of Foreign Experts Affairs; Natural Science Foundation of Hubei Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Hydrogen; Natural gas; Software deployment; Hydrogen fuel; Hydrogen vehicle; Fuel cells; Service (business); Environmental science; China; Transport engineering; Waste management; Engineering; Business; Chemistry; Chemical engineering","score_opus":0.02828465505941217,"score_gpt":0.3467193329699191,"score_spread":0.3184346779105069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966339748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99660707,0.000025917736,0.0013397377,0.000053472977,0.000004836659,0.00007522008,0.000099600926,0.000016297206,0.0017778353],"genre_scores_gemma":[0.9953122,0.000070960115,0.0022778301,0.000011482709,0.0000030591207,0.00004569482,0.00022396314,0.0000054339835,0.00204928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950314,0.00013783002,0.000017665256,0.000077287914,0.000101282705,0.00016282202],"domain_scores_gemma":[0.99945873,0.00017483825,0.000066957604,0.000052832816,0.00013042807,0.00011619336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087788014,0.0008464984,0.00040267175,0.0011513052,0.0014130642,0.00077124435,0.0017065883,0.0011076138,0.0014031095],"category_scores_gemma":[0.00086624344,0.0004244919,0.0008853741,0.0011219206,0.0006592074,0.00096826325,0.0007697564,0.0005096564,0.00012735609],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005077225,0.0008964646,0.11476598,0.00025953204,0.000240672,0.03259932,0.0009992397,0.79918754,0.013222211,0.004812682,0.0021803235,0.030328311],"study_design_scores_gemma":[0.00015450754,0.0012989484,0.07228469,0.000028347813,0.00022364302,0.0011043004,0.0070465077,0.9014969,0.010312997,0.0012369277,0.0047066743,0.00010554752],"about_ca_topic_score_codex":0.16489844,"about_ca_topic_score_gemma":0.20325169,"teacher_disagreement_score":0.16489844,"about_ca_system_score_codex":0.0037832842,"about_ca_system_score_gemma":0.0022932673,"threshold_uncertainty_score":0.32787728},"labels":[],"label_agreement":null},{"id":"W2966942291","doi":"10.1109/itec.2019.8790538","title":"An Onboard Real-Time-Implementable Framework for Calculating the Optimal Cruising Speed of Electric Autonomous Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Work (physics); Electric vehicle; Energy (signal processing); Automotive engineering; State (computer science); Component (thermodynamics); Vehicle dynamics; State of charge; Simulation; Engineering; Power (physics); Algorithm; Battery (electricity); Mechanical engineering","score_opus":0.007787663064635372,"score_gpt":0.2491730119449981,"score_spread":0.24138534888036273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966942291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009305021,0.000040894818,0.98522365,0.000041992083,0.000037305173,0.00004601665,0.00007026827,0.0018596345,0.0033752355],"genre_scores_gemma":[0.5216281,0.00014360258,0.47223854,0.000064664186,0.000050792984,0.00024492692,0.00042705852,0.0007370364,0.004465305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998054,0.000029367067,0.000008760512,0.00003525645,0.0000880212,0.000033164302],"domain_scores_gemma":[0.999718,0.000110365894,0.000029030116,0.0000418409,0.00007991437,0.000020684518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041443505,0.00094029907,0.00055599585,0.00038114798,0.00037718817,0.0012065851,0.001788204,0.0007724583,0.005307931],"category_scores_gemma":[0.0014498637,0.00042180944,0.00051117677,0.00022492834,0.00042353393,0.0008635708,0.0007869487,0.0009839765,0.0009294057],"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":[0.00004541122,0.0000385742,0.00043904476,0.000044163495,0.000016190077,0.000062288345,0.000043551012,0.95515245,0.003985413,0.007736177,0.0012412003,0.031195479],"study_design_scores_gemma":[0.0000058339224,0.0000086754335,0.000041775773,0.000002779653,0.000002063188,0.000005928716,0.0000048842667,0.997045,0.0008121249,0.0009074712,0.0011610243,0.0000024831745],"about_ca_topic_score_codex":0.008313782,"about_ca_topic_score_gemma":0.007982808,"teacher_disagreement_score":0.008313782,"about_ca_system_score_codex":0.0005907166,"about_ca_system_score_gemma":0.0010989305,"threshold_uncertainty_score":0.01775682},"labels":[],"label_agreement":null},{"id":"W2967075876","doi":"10.3390/su11164317","title":"A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":101,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Plug-in; State of charge; Automotive engineering; Diesel generator; MATLAB; Voltage; Grid; Hybrid power; Engineering; Power (physics); Electric vehicle; Automatic frequency control; Computer science; Electrical engineering; Battery (electricity); Diesel fuel","score_opus":0.0032289268372894726,"score_gpt":0.21028573326187713,"score_spread":0.20705680642458765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967075876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07783942,0.0002624927,0.90235674,0.00017170946,0.00012868344,0.00013413055,0.00005087178,0.00077244395,0.01828349],"genre_scores_gemma":[0.9918948,0.000058059275,0.006365949,0.00002281329,0.000010802289,0.000032740983,0.000018512192,0.000009503684,0.0015868815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000022235376,0.0000084569665,0.000029577766,0.000045770983,0.000026293892],"domain_scores_gemma":[0.99988794,0.000019028472,0.00002311966,0.000009265453,0.000049955044,0.00001066677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020515727,0.00046485086,0.00026880708,0.00028716002,0.0003447467,0.0005216331,0.00044376508,0.00021374138,0.0014211464],"category_scores_gemma":[0.0002846623,0.000118816744,0.00023455877,0.00020258807,0.0002008084,0.0002547741,0.0004464815,0.00029231524,0.00020933567],"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":[0.00041628288,0.0002819448,0.0020503416,0.00029839817,0.000086623346,0.00049392943,0.0003622996,0.6231992,0.041447997,0.022478178,0.003653658,0.30523112],"study_design_scores_gemma":[0.000028061597,0.00019269495,0.000603785,0.000010680631,0.000020056574,0.0000697183,0.00004413614,0.99066275,0.0035672118,0.0024852678,0.002302941,0.000012808033],"about_ca_topic_score_codex":0.003728791,"about_ca_topic_score_gemma":0.0037997533,"teacher_disagreement_score":0.003728791,"about_ca_system_score_codex":0.00024824217,"about_ca_system_score_gemma":0.0004017961,"threshold_uncertainty_score":0.007414162},"labels":[],"label_agreement":null},{"id":"W2967151663","doi":"10.1109/itec.2019.8790598","title":"Incorporation of Battery Electric Buses in the Operation of Intercity Bus Services","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Electrification; Public transport; Transport engineering; Electricity; Service (business); Transit (satellite); Energy consumption; Engineering; Telecommunications; Business; Electrical engineering","score_opus":0.002863945630059382,"score_gpt":0.17169855313126106,"score_spread":0.1688346075012017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967151663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8639984,0.0007447431,0.058268018,0.00043710144,0.00005398338,0.0002317022,0.00028152304,0.00019084658,0.07579367],"genre_scores_gemma":[0.9900058,0.00023428214,0.004257105,0.000016306958,0.000004349723,0.0000144426185,0.00007094291,0.000016190368,0.0053805658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996172,0.00013898918,0.000011095473,0.000031597578,0.00013825322,0.00006279879],"domain_scores_gemma":[0.9996834,0.00008541746,0.00003365702,0.00003219797,0.00013764114,0.000027717053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026289996,0.0004221232,0.0001494728,0.0005771707,0.00040143912,0.0011570966,0.0005019366,0.00029921668,0.004795406],"category_scores_gemma":[0.0007573041,0.0002200612,0.00017198677,0.0008309551,0.00022443905,0.0011953759,0.0004733652,0.00033591522,0.0005520212],"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":[0.0011238072,0.00066316925,0.07797822,0.00046129306,0.00012089083,0.0010267249,0.0007650277,0.4254431,0.03685704,0.041295774,0.0030072732,0.41125768],"study_design_scores_gemma":[0.00012425715,0.0030930976,0.11153252,0.00024060255,0.00030644616,0.00089320465,0.0061096335,0.7038389,0.048369862,0.016791632,0.10856265,0.00013722488],"about_ca_topic_score_codex":0.013587614,"about_ca_topic_score_gemma":0.055681225,"teacher_disagreement_score":0.013587614,"about_ca_system_score_codex":0.0010111491,"about_ca_system_score_gemma":0.0010275563,"threshold_uncertainty_score":0.027017057},"labels":[],"label_agreement":null},{"id":"W2967813133","doi":"10.1109/itec.2019.8790519","title":"Investigation of Grid Benefits from a Solar-Powered Electric Vehicle Using Real-World Driving Data","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Solar powered; Photovoltaic system; Automotive engineering; Transformer; Grid; Solar energy; Electric vehicle; Electrical engineering; Environmental science; Engineering; Computer science; Voltage","score_opus":0.0205896865602653,"score_gpt":0.2193721991111357,"score_spread":0.1987825125508704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967813133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758935,0.000034877256,0.00051487004,0.000024668527,0.0000045331594,0.000013004247,0.0012014995,0.000037193415,0.00058003253],"genre_scores_gemma":[0.99751043,0.000041810184,0.0005731637,0.0000047635044,0.0000030674269,0.000006624789,0.0016559449,0.000004702677,0.00019945382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997564,0.0000673653,0.000023240007,0.00006205076,0.00006073962,0.000030200117],"domain_scores_gemma":[0.99880815,0.00064166,0.00012342056,0.00008110043,0.00029610106,0.000049545873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045863388,0.00028972243,0.00022079848,0.00081371743,0.00014030194,0.0005532828,0.00024228111,0.0003487362,0.00053286],"category_scores_gemma":[0.0015627837,0.000091314876,0.00026680302,0.0009637365,0.00013103467,0.00043552922,0.00019590431,0.00019538552,0.00023016543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011360936,0.00085489213,0.7348224,0.00049114245,0.0004910134,0.0011002248,0.0005529541,0.190016,0.0075505553,0.0008480731,0.0029861869,0.059150502],"study_design_scores_gemma":[0.000028376886,0.00079236843,0.51054835,0.000033818855,0.00013740978,0.0005517774,0.0014672244,0.47777587,0.0056366003,0.0003308821,0.0026544072,0.000042922948],"about_ca_topic_score_codex":0.006894661,"about_ca_topic_score_gemma":0.012121591,"teacher_disagreement_score":0.006894661,"about_ca_system_score_codex":0.00022762167,"about_ca_system_score_gemma":0.00015252017,"threshold_uncertainty_score":0.013709009},"labels":[],"label_agreement":null},{"id":"W2968303619","doi":"10.1109/itec.2019.8790603","title":"A Q-Learning Based Charging Scheduling Scheme for Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Reinforcement learning; Vehicle-to-grid; Scheduling (production processes); Computer science; Electricity; Electric vehicle; Grid; Maintainability; Scheme (mathematics); Electricity market; Dynamic priority scheduling; Mathematical optimization; Real-time computing; Engineering; Artificial intelligence; Quality of service; Electrical engineering; Power (physics); Computer network","score_opus":0.004669318621555831,"score_gpt":0.1944045661460031,"score_spread":0.18973524752444726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968303619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021225164,0.00010300535,0.9735831,0.00017597913,0.000058976108,0.0001036089,0.000029465466,0.0002580881,0.0044626044],"genre_scores_gemma":[0.915799,0.00009385684,0.07985771,0.00009329462,0.000029378132,0.000094107265,0.00004272215,0.000025066602,0.003964861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996475,0.00012013742,0.000018746845,0.000076270684,0.0000837533,0.000053593518],"domain_scores_gemma":[0.99957865,0.00015643293,0.0000552265,0.000037997364,0.00012263816,0.00004907653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008161418,0.00036189405,0.00048000176,0.00023557384,0.00044838764,0.0004759423,0.0011286966,0.00053289934,0.0034363447],"category_scores_gemma":[0.0014602559,0.00015287937,0.00025756008,0.00038200247,0.00050732406,0.0006644825,0.00063755846,0.0006132199,0.00034890583],"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":[0.00019407683,0.00020340687,0.0006877039,0.00007842168,0.000026891414,0.00011531958,0.00011692888,0.8148145,0.005217316,0.030490074,0.0020907712,0.14596462],"study_design_scores_gemma":[0.000021191043,0.00006632254,0.00008912128,0.0000026286289,0.000003912591,0.000021640346,0.000008070527,0.9940615,0.000580675,0.004230536,0.0009088887,0.00000543483],"about_ca_topic_score_codex":0.003628556,"about_ca_topic_score_gemma":0.002342039,"teacher_disagreement_score":0.003628556,"about_ca_system_score_codex":0.0007437599,"about_ca_system_score_gemma":0.0010025778,"threshold_uncertainty_score":0.011495769},"labels":[],"label_agreement":null},{"id":"W2968540663","doi":"10.1109/cscwd.2019.8791862","title":"Accommodating More Users in Highway Electric Vehicle Charging through Coordinated Booking: A Market-Based Approach","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Electric vehicle; Transport engineering; Automotive engineering; Computer science; Business; Engineering","score_opus":0.00643848777092975,"score_gpt":0.19943465420456793,"score_spread":0.19299616643363818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968540663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074544415,0.0002002452,0.91967756,0.00039561564,0.000041056992,0.00019964988,0.00006253868,0.00031243646,0.004566481],"genre_scores_gemma":[0.8937526,0.000120210076,0.103523634,0.00009521143,0.000044511253,0.00017167075,0.000052593427,0.00005845066,0.002181002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984988,0.0006363198,0.000048182763,0.0002631544,0.00026456127,0.000288913],"domain_scores_gemma":[0.9971385,0.0016715352,0.00035587186,0.00026855958,0.00029498085,0.00027052217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030828214,0.00089588575,0.0017154424,0.00080417254,0.0010554444,0.0016786715,0.0031211255,0.0013767128,0.0035539325],"category_scores_gemma":[0.004060496,0.00064836524,0.0009478931,0.001214088,0.0008972294,0.002223756,0.0014945064,0.0010125532,0.0003182701],"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":[0.00015833836,0.0002577503,0.0010027556,0.00010473724,0.00008058017,0.00020795428,0.00015741722,0.9185938,0.005592759,0.03157224,0.0013924604,0.040879168],"study_design_scores_gemma":[0.000028036606,0.000093063485,0.00014293262,0.0000038907583,0.000021974976,0.000064209606,0.00007293534,0.9909932,0.0010408532,0.0065676435,0.00095735287,0.00001394722],"about_ca_topic_score_codex":0.0029202823,"about_ca_topic_score_gemma":0.004183996,"teacher_disagreement_score":0.0035539325,"about_ca_system_score_codex":0.0012762758,"about_ca_system_score_gemma":0.0017712894,"threshold_uncertainty_score":0.016303718},"labels":[],"label_agreement":null},{"id":"W2968619595","doi":"10.1109/tte.2019.2934345","title":"Technoeconomic Models for the Optimal Inclusion of Hydrogen Trains in Electricity Markets","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electricity; Environmental economics; Hydrogen production; Electrification; Electricity market; Scheduling (production processes); Computer science; Environmental science; Hydrogen; Economics; Engineering; Operations management; Chemistry","score_opus":0.006280403718986635,"score_gpt":0.19806673680465547,"score_spread":0.19178633308566884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968619595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08094287,0.00079454196,0.83594435,0.0024799441,0.00016440017,0.00026058973,0.00066310976,0.00016302064,0.07858716],"genre_scores_gemma":[0.9468271,0.000927952,0.027211023,0.00018553853,0.00006179091,0.00040470884,0.00015178406,0.00006268023,0.024167493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946314,0.0002631108,0.000016407095,0.000053702886,0.00011186389,0.00009170844],"domain_scores_gemma":[0.9990299,0.00065611635,0.00013226767,0.000035696758,0.00008549196,0.00006048567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013335979,0.0011209992,0.0005993622,0.00059273565,0.0005207875,0.001850877,0.0015684912,0.0017438394,0.0062189433],"category_scores_gemma":[0.0029793894,0.00066344877,0.0009166686,0.00061391375,0.0013865299,0.0022263264,0.001085527,0.0015722607,0.0004115563],"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":[0.000022958204,0.000029124978,0.00016228178,0.000022389131,0.0000095379755,0.00005588229,0.000022851627,0.9255777,0.00023866189,0.07151356,0.0004471713,0.0018978899],"study_design_scores_gemma":[0.000015790578,0.00002150644,0.00008645532,0.000008036445,0.000006393541,0.000011410682,0.000022364737,0.9800617,0.000108519445,0.018617531,0.0010320025,0.0000083286395],"about_ca_topic_score_codex":0.010189285,"about_ca_topic_score_gemma":0.009426743,"teacher_disagreement_score":0.010189285,"about_ca_system_score_codex":0.0028242748,"about_ca_system_score_gemma":0.0016526458,"threshold_uncertainty_score":0.020804405},"labels":[],"label_agreement":null},{"id":"W2969408426","doi":"10.3390/app9163420","title":"Optimal Charging of Plug-In Electric Vehicle: Considering Travel Behavior Uncertainties and Battery Degradation","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"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 Waterloo","funders":"","keywords":"Automotive engineering; Plug-in; Smart grid; Electrification; Computer science; Battery (electricity); Electric vehicle; Environmental economics; Environmental science; Electricity; Electrical engineering; Power (physics); Engineering","score_opus":0.008891442852606122,"score_gpt":0.20429805893800565,"score_spread":0.19540661608539953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969408426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5356279,0.0003650862,0.45498124,0.0005156629,0.000055940443,0.00012235295,0.00025471707,0.00012558531,0.007951571],"genre_scores_gemma":[0.99486536,0.00006634522,0.004268776,0.000012837675,0.0000056497643,0.000016250207,0.000044337838,0.000010578711,0.00070980063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.00006894758,0.000006282477,0.000035006102,0.000026397824,0.000061005805],"domain_scores_gemma":[0.9995215,0.0002895953,0.00006573663,0.000014745962,0.000068997724,0.000039405604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054796925,0.0006126127,0.00080328446,0.0003748176,0.00037735936,0.0009635882,0.000656865,0.00069943676,0.0014678402],"category_scores_gemma":[0.0019450114,0.00045639265,0.00051248644,0.00047075888,0.00050274486,0.0008401817,0.00046383197,0.0005716771,0.00006367035],"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":[0.000013393134,0.0000061787027,0.00031814002,0.000008221187,0.000006348462,0.000028718856,0.0000072134876,0.99774015,0.00012027124,0.00089434185,0.00004737613,0.0008096482],"study_design_scores_gemma":[0.0000031156542,0.000007839958,0.0001579854,0.0000010355097,0.0000033487545,0.000003888975,0.000014653341,0.9990202,0.00005894443,0.0006743134,0.000053160875,0.0000015039734],"about_ca_topic_score_codex":0.026464025,"about_ca_topic_score_gemma":0.015631583,"teacher_disagreement_score":0.026464025,"about_ca_system_score_codex":0.0014901572,"about_ca_system_score_gemma":0.001354252,"threshold_uncertainty_score":0.052619934},"labels":[],"label_agreement":null},{"id":"W2969858376","doi":"10.1109/tvt.2019.2936786","title":"A Discounted Stochastic Multiplayer Game Approach for Vehicle-to-Grid Voltage Regulation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Grid; Topology (electrical circuits); Network topology; Simulation; Distributed computing; Computer network; Engineering; Mathematics; Electrical engineering","score_opus":0.004858508363839977,"score_gpt":0.19848881540014962,"score_spread":0.19363030703630965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969858376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015158935,0.00036180884,0.9733474,0.00038661825,0.0001179947,0.00009842471,0.0001299951,0.00017018708,0.010228701],"genre_scores_gemma":[0.90245754,0.0006173655,0.083943345,0.00023742368,0.000084326944,0.00028468596,0.00016938642,0.0000637861,0.012142103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991227,0.00030830925,0.00003443184,0.00020493938,0.0001547895,0.0001748585],"domain_scores_gemma":[0.9990355,0.00056501187,0.000106820415,0.000026214993,0.00016565148,0.00010083737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810743,0.0014617668,0.0014812527,0.00065582694,0.00074944645,0.0016750857,0.0024915957,0.0014686693,0.005725424],"category_scores_gemma":[0.0025787507,0.0007031005,0.0011065766,0.0007620676,0.0010766258,0.0014029171,0.0015942749,0.0018215508,0.00048663886],"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":[0.00003856049,0.000033927703,0.00026978095,0.000043302127,0.000030027675,0.00011965466,0.000048175898,0.9636095,0.00043400604,0.02890276,0.0007518505,0.0057185693],"study_design_scores_gemma":[0.000005912497,0.000012445091,0.000024931172,0.0000024352075,0.0000069722273,0.000008281116,0.000009725004,0.99494827,0.000044992372,0.004669859,0.00026140967,0.000004787899],"about_ca_topic_score_codex":0.02022464,"about_ca_topic_score_gemma":0.015233742,"teacher_disagreement_score":0.02022464,"about_ca_system_score_codex":0.0023264915,"about_ca_system_score_gemma":0.002061988,"threshold_uncertainty_score":0.040213823},"labels":[],"label_agreement":null},{"id":"W2970720089","doi":"10.1007/s11356-019-06128-4","title":"Introduction of hydrogen fuel cell vehicles: prospects and challenges for Malaysia’s transition to a low-carbon economy","year":2019,"lang":"en","type":"review","venue":"Environmental Science and Pollution Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Fuel cells; Energy security; Environmental economics; Low-carbon economy; Greenhouse gas; Natural resource economics; Industrial organization; Renewable energy; Economics; Engineering","score_opus":0.026775683520342094,"score_gpt":0.2673548904158159,"score_spread":0.2405792068954738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970720089","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026504006,0.99697626,0.00009795566,0.0009919014,0.00030446687,0.000002581546,0.000032632568,0.0000036092224,0.0013255302],"genre_scores_gemma":[0.001957755,0.9963644,0.000112311354,0.00041511178,0.00021625056,0.0000020964098,0.000029132778,9.3014677e-7,0.00090193946],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999734,0.000045309785,0.000029706014,0.00004827638,0.00009793449,0.000044824723],"domain_scores_gemma":[0.99934596,0.00025237785,0.00012199645,0.000013089525,0.00020876041,0.00005780902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094098557,0.0007398041,0.0007436576,0.0017669719,0.00026227883,0.0014660514,0.000689489,0.0014429704,0.0040348493],"category_scores_gemma":[0.00082876754,0.0002649927,0.00044764215,0.0024498282,0.0005391242,0.0023694097,0.00085574447,0.0017412001,0.0008696255],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011130436,0.000069800444,0.0005797968,0.032670237,0.00009409496,0.00025688304,0.00012650323,0.0011475959,0.0024233693,0.019496713,0.0417607,0.901263],"study_design_scores_gemma":[0.000005432969,0.00010761923,0.0011272958,0.0047198473,0.00005677293,0.00034264755,0.00012598459,0.0001496408,0.0005509608,0.0021145577,0.99068075,0.000018541412],"about_ca_topic_score_codex":0.004915348,"about_ca_topic_score_gemma":0.0096223345,"teacher_disagreement_score":0.004915348,"about_ca_system_score_codex":0.0013388061,"about_ca_system_score_gemma":0.003192609,"threshold_uncertainty_score":0.013497889},"labels":[],"label_agreement":null},{"id":"W2970851151","doi":"10.1109/mele.2019.2925763","title":"On the Electrification of Canada's Vehicular Fleets: National-scale analysis shows that mindsets matter","year":2019,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor; McMaster University","funders":"","keywords":"Electrification; Scale (ratio); Regional science; Environmental science; Engineering; Geography; Cartography; Electrical engineering","score_opus":0.005029092397511455,"score_gpt":0.1837023074338556,"score_spread":0.17867321503634415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970851151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924993,0.0001309754,0.0001222279,0.00035844214,0.000004278252,0.0000177948,0.00016992366,0.0000028254203,0.0066942764],"genre_scores_gemma":[0.99839056,0.00022572618,0.000088155044,0.00004476163,0.0000013092565,0.000007665148,0.00013060417,0.000003244922,0.0011080486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989513,0.00017276351,0.000033066266,0.00010371382,0.00050004036,0.00023904907],"domain_scores_gemma":[0.9948338,0.0016282955,0.00050137314,0.00015493689,0.002297636,0.0005839172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022302757,0.00021237523,0.00021376197,0.001449315,0.0036908586,0.0025805028,0.0005678997,0.00027116368,0.0021383578],"category_scores_gemma":[0.006885036,0.00012578482,0.00029524326,0.0030076455,0.0026999512,0.000992192,0.0017264689,0.000762449,0.00009760765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108316905,0.00005895269,0.737133,0.0001413681,0.00008720457,0.00025530922,0.20337632,0.00069461425,0.00088647695,0.0048543573,0.0038396737,0.048564345],"study_design_scores_gemma":[0.0000017039996,0.000020190919,0.82766914,0.00006604362,0.000012578359,0.000016852939,0.16430539,0.00032352365,0.000119581215,0.0002100554,0.0072389888,0.000015950807],"about_ca_topic_score_codex":0.9635274,"about_ca_topic_score_gemma":0.9830276,"teacher_disagreement_score":0.03647262,"about_ca_system_score_codex":0.026086636,"about_ca_system_score_gemma":0.023358895,"threshold_uncertainty_score":0.1892727},"labels":[],"label_agreement":null},{"id":"W2970994769","doi":"10.1109/blackseacom.2019.8812817","title":"GreenBroker: Optimal Electric Vehicle Park-and-Charge Control via Vehicle-to-Infrastructure Communication","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Revenue; Schedule; Electric vehicle; Control (management); Electricity; Computer science; Smart grid; Telecommunications; Automotive engineering; Electrical engineering; Engineering; Business","score_opus":0.0021584498093240112,"score_gpt":0.17692877501124069,"score_spread":0.17477032520191668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970994769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08985417,0.00046457286,0.90099216,0.00041819038,0.000095974785,0.000087087275,0.00009376074,0.0008264605,0.0071676676],"genre_scores_gemma":[0.98636067,0.00008402983,0.012236894,0.000044599397,0.000012650964,0.000020900206,0.000019584968,0.00002116021,0.0011993193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996283,0.00007888276,0.000010037927,0.000088344335,0.00007880997,0.00011569368],"domain_scores_gemma":[0.99929917,0.0004199311,0.00011372349,0.000034164324,0.0000764988,0.000056494267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072350656,0.0008663908,0.00080688746,0.00034439436,0.0004071149,0.00085541635,0.0009808083,0.0006278866,0.0018414512],"category_scores_gemma":[0.0017264689,0.00036679703,0.0003136643,0.0004334046,0.00072900916,0.0008533509,0.00085890916,0.0008254691,0.00015897874],"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":[0.0000682648,0.00004372419,0.0002619107,0.000023503742,0.000011554653,0.000030079413,0.000020427342,0.98085207,0.0010419082,0.0042288126,0.00067869225,0.012738927],"study_design_scores_gemma":[0.0000083222585,0.000023581024,0.00004074323,0.0000010302872,0.0000020653993,0.000005379807,0.0000044370313,0.998487,0.00019358406,0.0010865529,0.00014496688,0.0000022600236],"about_ca_topic_score_codex":0.008057032,"about_ca_topic_score_gemma":0.0080803465,"teacher_disagreement_score":0.008057032,"about_ca_system_score_codex":0.0010485622,"about_ca_system_score_gemma":0.0014870932,"threshold_uncertainty_score":0.016020238},"labels":[],"label_agreement":null},{"id":"W2971102074","doi":"10.1016/j.renene.2019.08.113","title":"Corrigendum to “Optimal design of electric vehicle charging stations considering various energy resources” [Int. J. Renew. Energy 107 (July 2017) 576–589]","year":2019,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"University of Waterloo","funders":"","keywords":"Energy (signal processing); INT; Electric vehicle; Automotive engineering; Computer science; Environmental science; Operations research; Engineering; Mathematics; Physics; Statistics; Operating system; Power (physics)","score_opus":0.011374636524142083,"score_gpt":0.19708630692064824,"score_spread":0.18571167039650616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971102074","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002742161,0.00544143,0.004574677,0.036711697,0.92311233,0.000089534,0.0019180997,0.0005932299,0.027284766],"genre_scores_gemma":[0.011786768,0.024920627,0.011410331,0.042401258,0.17242691,0.00029858894,0.006732995,0.0016105847,0.72841185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976145,0.00034076505,0.00029286472,0.00031383018,0.0012270825,0.00021089143],"domain_scores_gemma":[0.99127835,0.0014404764,0.00021794741,0.00042378937,0.0064296112,0.00020981675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016673648,0.0024814068,0.0022025588,0.0030482465,0.0022321842,0.0026022657,0.003496113,0.0045517194,0.11185426],"category_scores_gemma":[0.013822307,0.00091526535,0.0023776293,0.003013916,0.001246594,0.002507137,0.0017673833,0.0050907056,0.06308533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022432989,0.000008877341,0.000034556695,0.00013942548,0.0000075572148,0.00008338141,0.000010342913,0.00023899601,0.00009200709,0.0014584177,0.99034715,0.007556837],"study_design_scores_gemma":[0.000024830539,0.000040877272,0.00062964647,0.00024698486,0.00003430783,0.00017017762,0.000050123206,0.0013212546,0.00060901244,0.0043956786,0.9924293,0.00004767266],"about_ca_topic_score_codex":0.035432585,"about_ca_topic_score_gemma":0.04901027,"teacher_disagreement_score":0.11185426,"about_ca_system_score_codex":0.0039272066,"about_ca_system_score_gemma":0.0032027906,"threshold_uncertainty_score":0.37418973},"labels":[],"label_agreement":null},{"id":"W2971414764","doi":"10.1049/iet-gtd.2019.0594","title":"Three‐based level model to determine optimal scheduling of the MG integrated operation using Benders decomposition","year":2019,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benders' decomposition; Scheduling (production processes); Decomposition; Mathematical optimization; Computer science; Reliability engineering; Mathematics; Engineering; Chemistry","score_opus":0.03357556815980629,"score_gpt":0.25360140616923643,"score_spread":0.22002583800943015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971414764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013133109,0.00016028568,0.97784483,0.0001634815,0.000047448957,0.00005909507,0.0001948389,0.00020601631,0.008190947],"genre_scores_gemma":[0.783906,0.0006080568,0.19695112,0.00016671715,0.00006653931,0.0005185703,0.0006739191,0.00019039132,0.016918598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968445,0.00009471457,0.000014309734,0.00006440176,0.00006901496,0.00007314753],"domain_scores_gemma":[0.9997137,0.00012459196,0.000051449013,0.000019304664,0.00006537264,0.000025479945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062641327,0.0010965221,0.0010536967,0.0005394863,0.0004884192,0.0014230765,0.0011523378,0.0013146137,0.00678834],"category_scores_gemma":[0.0009288994,0.0006927787,0.0013935262,0.0005927794,0.00047331824,0.0009910077,0.0009472629,0.0017018499,0.00073204766],"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":[0.000012942732,0.0000081234275,0.00012927294,0.000016592636,0.000010332218,0.000019940464,0.000011096613,0.99396074,0.00033561944,0.003595915,0.00016918598,0.0017303515],"study_design_scores_gemma":[0.0000028736454,0.000008133678,0.00003154934,0.0000023709756,0.000003807873,0.000003201561,0.0000050446843,0.9985311,0.00007282369,0.0010457685,0.00029118982,0.00000198613],"about_ca_topic_score_codex":0.014482833,"about_ca_topic_score_gemma":0.009498557,"teacher_disagreement_score":0.014482833,"about_ca_system_score_codex":0.0010922223,"about_ca_system_score_gemma":0.001702652,"threshold_uncertainty_score":0.02879703},"labels":[],"label_agreement":null},{"id":"W2972680096","doi":"10.1287/trsc.2020.1018","title":"Electric Vehicle Routing with Public Charging Stations","year":2021,"lang":"en","type":"article","venue":"Transportation Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada; HEC Montréal","funders":"Agence Nationale de la Recherche","keywords":"Leverage (statistics); Routing (electronic design automation); Queue; Static routing; Computer science; Electric vehicle; Operations research; Computer network; Engineering; Routing protocol","score_opus":0.00879866974187956,"score_gpt":0.20967433539530964,"score_spread":0.20087566565343007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972680096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1580531,0.00043542634,0.78569573,0.0017743356,0.00025307306,0.00017879544,0.0011078969,0.0006883288,0.051813226],"genre_scores_gemma":[0.9049383,0.00031905627,0.069199435,0.00012847199,0.00007139913,0.00009613449,0.00058315723,0.00009604011,0.024567986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994481,0.0001402034,0.000016949338,0.00013985203,0.0000937681,0.0001611458],"domain_scores_gemma":[0.99958307,0.00012524564,0.000076447956,0.000082797866,0.000072431816,0.000059980204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004972045,0.00084639597,0.0006850104,0.00033132537,0.0005178156,0.0016819062,0.0013937638,0.0012005039,0.0076794387],"category_scores_gemma":[0.0013612871,0.0004323771,0.0007174662,0.00087483693,0.0006986717,0.0021179717,0.0013628218,0.0014321669,0.0007258948],"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":[0.000077409444,0.00007742591,0.00045215292,0.000029762143,0.000020877413,0.000106476575,0.00002556632,0.9363375,0.00078614487,0.045455836,0.0026366883,0.013994212],"study_design_scores_gemma":[0.00002789975,0.000033324246,0.00015994892,0.000005734916,0.000010873042,0.000049313967,0.000050021426,0.95585334,0.00058091705,0.036812708,0.0064055854,0.0000103337725],"about_ca_topic_score_codex":0.0077516814,"about_ca_topic_score_gemma":0.008758245,"teacher_disagreement_score":0.0077516814,"about_ca_system_score_codex":0.0018943857,"about_ca_system_score_gemma":0.0017489111,"threshold_uncertainty_score":0.025690258},"labels":[],"label_agreement":null},{"id":"W2973037684","doi":"10.1109/tii.2019.2940410","title":"Fog-Computing-Based Energy Storage in Smart Grid: A Cut-Off Priority Queuing Model for Plug-In Electrified Vehicle Charging","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Queueing theory; Scheduling (production processes); Computer science; Smart grid; Grid; Energy storage; Plug-in; Distributed computing; Queue; Real-time computing; Operations research; Computer network; Engineering; Operating system; Electrical engineering; Operations management","score_opus":0.01609169331008124,"score_gpt":0.2181721942306378,"score_spread":0.20208050092055657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973037684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05639363,0.0005291336,0.9305066,0.0007598299,0.00019919735,0.00011628091,0.00017502256,0.00032647638,0.010993818],"genre_scores_gemma":[0.9580479,0.00051347964,0.03585164,0.00017243838,0.0000624699,0.00011079071,0.00007785769,0.00003919301,0.0051242374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968326,0.00007731717,0.000012783355,0.000062894396,0.00006976251,0.00009409271],"domain_scores_gemma":[0.9997265,0.00011104569,0.00003244822,0.00002210897,0.000064462045,0.000043406733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095573,0.0005313767,0.0007008657,0.0003002941,0.00073275925,0.0013156459,0.0014336174,0.00084369525,0.0020821742],"category_scores_gemma":[0.00086401607,0.0003245033,0.0007622314,0.00055008364,0.00078860734,0.001121889,0.0006140373,0.0009060683,0.00020409063],"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":[0.00006478776,0.00004980376,0.00041790746,0.00003353096,0.000019206938,0.00010292363,0.00007335746,0.9448499,0.0013784155,0.045657933,0.0012132146,0.0061390996],"study_design_scores_gemma":[0.0000057814646,0.000009844878,0.00004435393,0.0000021406809,0.00000461121,0.000005300935,0.0000079601505,0.9963898,0.00009997419,0.0031455983,0.0002817994,0.000002881571],"about_ca_topic_score_codex":0.02551512,"about_ca_topic_score_gemma":0.020345688,"teacher_disagreement_score":0.02551512,"about_ca_system_score_codex":0.0017920757,"about_ca_system_score_gemma":0.0022531676,"threshold_uncertainty_score":0.05073321},"labels":[],"label_agreement":null},{"id":"W2973293137","doi":"","title":"City of Vancouver EV Infrastructure Strategy Report","year":2016,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Government (linguistics); Business; Local government; Incentive program; Installation; Public administration; Engineering; Economics; Political science; Market economy","score_opus":0.006277207108385464,"score_gpt":0.18513959619885267,"score_spread":0.1788623890904672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973293137","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009042509,0.0024136559,0.0008088144,0.0054943436,0.0007201576,0.0002834168,0.023041066,0.00049879623,0.95769715],"genre_scores_gemma":[0.030696359,0.0024933184,0.0010081261,0.0008619151,0.00003963883,0.00012712121,0.019301258,0.0001429828,0.94532925],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992976,0.000036008172,0.000018082474,0.00004727077,0.00040589322,0.0001950614],"domain_scores_gemma":[0.9987049,0.00002868063,0.000019298963,0.000023390148,0.0010188861,0.00020479449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003899037,0.000614284,0.00019820688,0.0016857729,0.002770598,0.0045555145,0.0010705416,0.0011993381,0.06120561],"category_scores_gemma":[0.0010329452,0.0003720247,0.00018121392,0.0017170134,0.00020357833,0.0006322068,0.0011107948,0.0010732486,0.016746713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002927573,0.000050233273,0.0035313556,0.00014917049,0.000008970944,0.00020658018,0.00015705201,0.00044542307,0.00035851775,0.0070526693,0.92719924,0.060811434],"study_design_scores_gemma":[0.0000062906456,0.00000948742,0.0059633744,0.00006621869,0.000005572672,0.000055102784,0.0005754529,0.00021352184,0.00023503759,0.0002458519,0.99261487,0.000009137747],"about_ca_topic_score_codex":0.84354347,"about_ca_topic_score_gemma":0.9340637,"teacher_disagreement_score":0.15645653,"about_ca_system_score_codex":0.01135014,"about_ca_system_score_gemma":0.032816686,"threshold_uncertainty_score":0.31475586},"labels":[],"label_agreement":null},{"id":"W2979314725","doi":"10.1088/1748-9326/ab4ca1","title":"Consumers continue to be confused about electric vehicles: comparing awareness among Canadian new car buyers in 2013 and 2017","year":2019,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; BC Hydro; SFU Community Trust Endowment Fund; Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Outreach; Electric vehicle; Business; Marketing; Electric cars; Sample (material); Consumer behaviour; Economics; Engineering; Economic growth","score_opus":0.015245214486297507,"score_gpt":0.2385133020630999,"score_spread":0.2232680875768024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979314725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99057335,0.0004161349,0.00008740469,0.00067304616,0.000018140825,0.00004402102,0.0026512423,0.00001033711,0.005526262],"genre_scores_gemma":[0.9963475,0.00039500138,0.00009013428,0.00020839102,0.0000060059297,0.000026365651,0.0013046756,0.000006424505,0.0016155681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859124,0.0000611523,0.000052450552,0.00011455761,0.00072465016,0.00045595865],"domain_scores_gemma":[0.9945003,0.0003100721,0.0008634016,0.00011244471,0.0034015793,0.00081225607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016427696,0.00025039725,0.0003539253,0.0019807552,0.0026915094,0.0022452543,0.0014940347,0.00063354586,0.0034773946],"category_scores_gemma":[0.004713917,0.00036695195,0.00078578125,0.0035210703,0.0011536897,0.0010416633,0.0013175518,0.0011441561,0.0003916393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013055852,0.000049589027,0.97163063,0.00007793746,0.00004224224,0.000095722375,0.012897657,0.00004368544,0.00021768834,0.00018032547,0.0032686046,0.011365406],"study_design_scores_gemma":[0.0000024804215,0.000020748439,0.9767229,0.000039468923,0.000014053295,0.000035949546,0.020673266,0.00009569154,0.00009285167,0.0000151373815,0.002270733,0.000016738384],"about_ca_topic_score_codex":0.9908284,"about_ca_topic_score_gemma":0.99327797,"teacher_disagreement_score":0.022288805,"about_ca_system_score_codex":0.022288805,"about_ca_system_score_gemma":0.022259625,"threshold_uncertainty_score":0.16171736},"labels":[],"label_agreement":null},{"id":"W2979375302","doi":"10.1109/ccece.2019.8861592","title":"Vehicle-To-Grid Technology in a Micro-grid Using DC Fast Charging Architecture","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":90,"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 Calgary","funders":"","keywords":"Interfacing; Grid; Vehicle-to-grid; Computer science; Energy storage; Electric vehicle; Electrical engineering; Automotive engineering; Engineering; Power (physics); Computer hardware","score_opus":0.003512197665348687,"score_gpt":0.18909742551998202,"score_spread":0.18558522785463333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979375302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16807556,0.0011118954,0.75691074,0.00060051057,0.0002770959,0.00031066808,0.00029223794,0.005439857,0.066981375],"genre_scores_gemma":[0.9425045,0.000433796,0.043984022,0.00008686748,0.000024435478,0.000075499855,0.00011370106,0.000050511204,0.012726552],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999137,0.000015769201,0.000004826418,0.000018800974,0.000034326233,0.000012648646],"domain_scores_gemma":[0.999941,0.000008231248,0.0000048753413,0.000014433841,0.000025078703,0.0000063907864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000624876,0.00023105838,0.00023105022,0.00023342924,0.0003634551,0.00069531926,0.00062407256,0.00023762486,0.003357001],"category_scores_gemma":[0.00008005708,0.00010835104,0.00019924868,0.00040637667,0.00023171247,0.0005449319,0.0002565506,0.00030340234,0.0007487469],"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":[0.00050193944,0.0002893652,0.0053459103,0.0006693974,0.00012337133,0.00090185064,0.00032574878,0.34678045,0.12272088,0.097278416,0.01582109,0.40924156],"study_design_scores_gemma":[0.00008010525,0.00072042836,0.0028917757,0.000055177272,0.000084927975,0.00074878917,0.000199192,0.8134091,0.07086534,0.028745005,0.08214497,0.000055312037],"about_ca_topic_score_codex":0.0037657218,"about_ca_topic_score_gemma":0.0053249896,"teacher_disagreement_score":0.0037657218,"about_ca_system_score_codex":0.0004991043,"about_ca_system_score_gemma":0.0005309327,"threshold_uncertainty_score":0.01123029},"labels":[],"label_agreement":null},{"id":"W2979700536","doi":"10.1115/1.2006-jul-2","title":"Juiced Up","year":2006,"lang":"en","type":"article","venue":"Mechanical Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Automotive industry; Automotive engineering; Installation; Battery (electricity); Engineering; Battery pack; Electronics; Electrical engineering; Manufacturing engineering; Mechanical engineering","score_opus":0.0027625726998687875,"score_gpt":0.1592942511270988,"score_spread":0.15653167842723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979700536","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018770839,0.0041096597,0.0017196555,0.009610527,0.018979566,0.00018597057,0.002596075,0.0015365261,0.95938486],"genre_scores_gemma":[0.0048603923,0.0015654408,0.000928127,0.0031923696,0.001489485,0.000038181504,0.0014405826,0.000739985,0.9857453],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992448,0.00008283246,0.000035536013,0.000120019286,0.0004140103,0.00010280991],"domain_scores_gemma":[0.9990658,0.00012958494,0.000041252115,0.000109400935,0.00042627793,0.0002277134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000543234,0.0008509982,0.0006439289,0.0018402333,0.002985285,0.005920421,0.0010028454,0.0017710868,0.60465705],"category_scores_gemma":[0.0032870094,0.00029952265,0.00079123175,0.0015021268,0.00085113925,0.0049226223,0.003593432,0.0025123656,0.35248366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010202835,0.00004845859,0.00034656888,0.00023717916,0.00000646141,0.00026787637,0.00041820575,0.000053813746,0.00058720773,0.012107771,0.89565444,0.09016993],"study_design_scores_gemma":[0.000002303313,0.0000072440785,0.0001361417,0.000028602184,0.0000012466782,0.000060843897,0.00009479916,0.000010458347,0.000075077456,0.0005230643,0.99905735,0.0000028623479],"about_ca_topic_score_codex":0.0027135683,"about_ca_topic_score_gemma":0.006349969,"teacher_disagreement_score":0.60465705,"about_ca_system_score_codex":0.0012826725,"about_ca_system_score_gemma":0.0011291122,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2979706008","doi":"10.1109/tte.2019.2946063","title":"Vehicle-Directed Smart Charging Strategies to Mitigate the Effect of Long-Range EV Charging on Distribution Transformer Aging","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Smart grid; Electric vehicle; Automotive engineering; Transformer; Computer science; Range (aeronautics); Distribution transformer; Electrical engineering; Grid; Voltage; Engineering","score_opus":0.003949900266838911,"score_gpt":0.20419037476626073,"score_spread":0.2002404744994218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979706008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20794468,0.0007219019,0.78155696,0.0001983616,0.00011827531,0.00013739135,0.000067876805,0.0013341553,0.007920349],"genre_scores_gemma":[0.9827753,0.00015179942,0.01576426,0.000035966783,0.000013929745,0.00002361478,0.00004131122,0.000032727956,0.001161018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997404,0.00007476948,0.000017668437,0.000054709402,0.00006916424,0.000043278204],"domain_scores_gemma":[0.999652,0.0000802256,0.00007002214,0.00006903569,0.00010370465,0.000024969258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005234288,0.0005247459,0.00044074887,0.00033928757,0.00019109703,0.00045541592,0.0010103447,0.00033573978,0.0011718911],"category_scores_gemma":[0.0009273161,0.0001360401,0.00033884554,0.00031856517,0.00028450004,0.00089575216,0.00043375365,0.000339046,0.0003365815],"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":[0.000425757,0.0003287823,0.0051328577,0.00025352705,0.0001609061,0.0002327933,0.00017275206,0.5548171,0.049004916,0.02185225,0.0030793932,0.364539],"study_design_scores_gemma":[0.00007346607,0.0006917423,0.0027503853,0.00002056684,0.00010142806,0.00040515,0.00014221642,0.9423486,0.033505816,0.009908406,0.010007478,0.00004485562],"about_ca_topic_score_codex":0.0013688314,"about_ca_topic_score_gemma":0.0016328704,"teacher_disagreement_score":0.0013688314,"about_ca_system_score_codex":0.00027267094,"about_ca_system_score_gemma":0.00041336694,"threshold_uncertainty_score":0.0039203763},"labels":[],"label_agreement":null},{"id":"W2979914026","doi":"10.1109/sege.2019.8859931","title":"Contribution of Coordinated Charging of Plug-in Electric Vehicles to Urban Medium Voltage Distribution Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 en Abitibi-Témiscamingue; Université du Québec en Outaouais","funders":"","keywords":"Grid; Plug-in; Automotive engineering; Computer science; Voltage; Distribution grid; Linear programming; Mathematical optimization; Electric power system; AC power; Power (physics); Integer programming; Electric vehicle; Electrical engineering; Engineering; Algorithm; Mathematics","score_opus":0.002407467513346031,"score_gpt":0.18157151943870725,"score_spread":0.17916405192536122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979914026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2313742,0.0011405211,0.7494155,0.00057866,0.00015549334,0.00006143277,0.00009757622,0.0003368814,0.016839813],"genre_scores_gemma":[0.9929415,0.00028445764,0.0060005393,0.000016999118,0.000024670248,0.0000088469,0.000026097561,0.000015189942,0.0006818514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965584,0.00014879933,0.000009285981,0.000056404377,0.0000754643,0.000054236833],"domain_scores_gemma":[0.9996369,0.00014718967,0.000052266914,0.00004502932,0.000086753666,0.000031792104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032280004,0.0005939739,0.0004871366,0.00028406395,0.00027040593,0.001015746,0.00067174464,0.0003286723,0.0008926446],"category_scores_gemma":[0.0011150717,0.00025444978,0.00044822675,0.0004752109,0.00027191808,0.0007557901,0.00072344765,0.0004372973,0.00009323444],"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":[0.000055839188,0.00003310294,0.0018204891,0.000053840224,0.000050692463,0.00016685312,0.000027702521,0.95953685,0.0011922072,0.008906329,0.00056697795,0.027589211],"study_design_scores_gemma":[0.0000057738735,0.000056363337,0.00051051733,0.0000037994982,0.000022511378,0.000053380485,0.00003839041,0.99428564,0.00047459296,0.0033816942,0.0011618296,0.0000054735215],"about_ca_topic_score_codex":0.0041785757,"about_ca_topic_score_gemma":0.0036255524,"teacher_disagreement_score":0.0041785757,"about_ca_system_score_codex":0.00069328526,"about_ca_system_score_gemma":0.0008171324,"threshold_uncertainty_score":0.00830853},"labels":[],"label_agreement":null},{"id":"W2981559229","doi":"10.1088/1757-899x/609/6/062022","title":"Building-to-vehicle-to-building approach for the NZEB target at a micro-grid level: a comprehensive sensitivity and parametric post-optimality analysis","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Renewable energy; Zero-energy building; Photovoltaic system; Grid; Roof; Electricity; Sensitivity (control systems); Automotive engineering; Parametric statistics; Computer science; Engineering; Civil engineering; Electrical engineering","score_opus":0.01389632965997164,"score_gpt":0.2203043467677162,"score_spread":0.20640801710774456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981559229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2721969,0.00047866892,0.6814801,0.00044932406,0.000050672566,0.00018487484,0.00050482596,0.00028297785,0.044371627],"genre_scores_gemma":[0.9817473,0.00012567172,0.0146900965,0.00002747265,0.000009184554,0.00008840701,0.000093754934,0.00004698522,0.0031711413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.00008403256,0.000004386143,0.000024229388,0.000049965107,0.00004837476],"domain_scores_gemma":[0.9995103,0.00035598633,0.000034782763,0.00003017728,0.000052004452,0.000016823871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061839033,0.0006203428,0.00076815166,0.00044707587,0.00032507334,0.0008995197,0.00060083985,0.000900351,0.004797029],"category_scores_gemma":[0.0012011548,0.00038618638,0.0009934447,0.0003076768,0.0005198132,0.0005413497,0.0009134863,0.0008782512,0.00027311195],"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":[0.000009817031,0.000009624115,0.00012904595,0.00001272806,0.0000049400714,0.000017704679,0.0000051008055,0.99759334,0.00030846888,0.0009378445,0.000040770286,0.0009305684],"study_design_scores_gemma":[0.0000019351576,0.000012779825,0.00011059252,0.0000021162348,0.0000031476495,0.000005335142,0.000009241104,0.9991099,0.00016601049,0.0004342251,0.0001429752,0.0000017497352],"about_ca_topic_score_codex":0.00952954,"about_ca_topic_score_gemma":0.005764243,"teacher_disagreement_score":0.00952954,"about_ca_system_score_codex":0.000730068,"about_ca_system_score_gemma":0.00074618217,"threshold_uncertainty_score":0.018948138},"labels":[],"label_agreement":null},{"id":"W2982961211","doi":"10.1109/ev.2019.8892867","title":"The Feasibility of Electric Vehicles as Taxis in a Canadian Context","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; National Research Council Canada","funders":"","keywords":"Taxis; Battery (electricity); Context (archaeology); Driving range; Battery capacity; Automotive engineering; Computer science; Schedule; Power (physics); Battery electric vehicle; Electric vehicle; Simulation; Environmental science; Transport engineering; Engineering; Geography","score_opus":0.005775413385841495,"score_gpt":0.20531751050167252,"score_spread":0.199542097115831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982961211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974661,0.00040828955,0.0028553891,0.00041555671,0.000015092149,0.000084288906,0.0021004993,0.00011304657,0.019346796],"genre_scores_gemma":[0.9943228,0.00040483082,0.002262609,0.000026668327,0.0000019428478,0.00001311897,0.0010135114,0.000020394304,0.0019342604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99928194,0.000077579454,0.000018608347,0.00011201087,0.00030782688,0.00020210279],"domain_scores_gemma":[0.99916494,0.00012719617,0.000051160987,0.000042105155,0.0005285845,0.000085940395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007392717,0.00047335343,0.00031731752,0.0009030681,0.0020880974,0.0030903663,0.0012549799,0.00052193645,0.0017480953],"category_scores_gemma":[0.0027790016,0.000299467,0.000474533,0.0015905671,0.00086139917,0.0014084284,0.00085670437,0.000531041,0.00016161961],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006863069,0.00021535541,0.24039331,0.0002536365,0.00022611194,0.000690417,0.0014857766,0.6615886,0.004813062,0.019433571,0.005493089,0.06472076],"study_design_scores_gemma":[0.00008877744,0.00037074473,0.19515136,0.00012901134,0.00026400943,0.00022449244,0.00803339,0.74027437,0.0063526654,0.003734194,0.045083895,0.00029312077],"about_ca_topic_score_codex":0.9905009,"about_ca_topic_score_gemma":0.99156934,"teacher_disagreement_score":0.025970154,"about_ca_system_score_codex":0.025970154,"about_ca_system_score_gemma":0.024436342,"threshold_uncertainty_score":0.18842751},"labels":[],"label_agreement":null},{"id":"W2985730928","doi":"10.1109/isgt-la.2019.8895470","title":"On Effects of PEVs in Islanded Microgrids Resilience","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Microgrid; Load Shedding; Resilience (materials science); Computer science; Grid; Distributed generation; Mode (computer interface); Control (management); Plug-in; Control engineering; Reliability engineering; Electric power system; Risk analysis (engineering); Engineering; Business; Power (physics); Renewable energy","score_opus":0.000873921921473288,"score_gpt":0.16142240987490172,"score_spread":0.16054848795342844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985730928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98476404,0.00038483652,0.0093179485,0.00008338101,0.000026119014,0.000029768149,0.00007467066,0.00008832755,0.005231017],"genre_scores_gemma":[0.9993011,0.00006651213,0.00044469102,0.00000469281,0.0000014200341,0.00000242918,0.000009220334,0.0000024900046,0.00016747849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974936,0.000120551136,0.000009926007,0.000025582705,0.000042966865,0.000051553747],"domain_scores_gemma":[0.998744,0.0008474802,0.00011151827,0.00010724873,0.00013912425,0.000050499217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166868,0.000396441,0.00022988887,0.00036541198,0.00019717525,0.000435095,0.00031201495,0.0002721821,0.0016326475],"category_scores_gemma":[0.0019822367,0.000085580155,0.00027112334,0.00026797366,0.00041941772,0.00064939086,0.00048664372,0.0002462711,0.00008492499],"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":[0.00067351357,0.00017452221,0.0067993505,0.00022656191,0.0000823086,0.00046195585,0.00007779893,0.9367981,0.021670511,0.0029974803,0.00026820376,0.029769836],"study_design_scores_gemma":[0.000054395037,0.0036207896,0.01403104,0.000081999046,0.0002533676,0.00027404373,0.00077971444,0.9197255,0.055653073,0.0038819178,0.0016089312,0.000035318444],"about_ca_topic_score_codex":0.0016643807,"about_ca_topic_score_gemma":0.0016510967,"teacher_disagreement_score":0.0016643807,"about_ca_system_score_codex":0.00027354114,"about_ca_system_score_gemma":0.00018748485,"threshold_uncertainty_score":0.005461812},"labels":[],"label_agreement":null},{"id":"W2987285336","doi":"10.1007/s40565-019-00573-3","title":"Schedulable capacity forecasting for electric vehicles based on big data analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"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 New Brunswick","funders":"International Science and Technology Cooperation Programme; National Natural Science Foundation of China","keywords":"Computer science; Big data; Random forest; Decision tree; Boosting (machine learning); Scale (ratio); Gradient boosting; Smart grid; Ensemble learning; k-nearest neighbors algorithm; Data mining; Artificial intelligence; Engineering","score_opus":0.02524584325366714,"score_gpt":0.2024741273801286,"score_spread":0.17722828412646147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987285336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3434503,0.0014584519,0.6454072,0.0009492589,0.00030115744,0.000103583865,0.0014055058,0.0020459574,0.00487853],"genre_scores_gemma":[0.9755653,0.00029016344,0.022692883,0.000039210223,0.000046866462,0.000043296717,0.0007837948,0.00003658844,0.00050194305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996146,0.00008027824,0.000025580623,0.000086043714,0.00013555915,0.000057853686],"domain_scores_gemma":[0.99909043,0.00041620265,0.00011609517,0.000096732234,0.00021558997,0.00006498829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007905806,0.0008099222,0.0008046826,0.0011964861,0.0004257005,0.0007847325,0.00083336496,0.00048079237,0.00053351966],"category_scores_gemma":[0.0025197433,0.00035569404,0.000580063,0.0010315998,0.00028967936,0.0016787186,0.00049691595,0.000859925,0.0002031188],"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":[0.00009394082,0.000069822476,0.0066484236,0.00005077577,0.000049115475,0.00010761826,0.000030178127,0.9384575,0.0014668131,0.0019550335,0.0016664547,0.049404297],"study_design_scores_gemma":[0.0000011620151,0.0000046364785,0.00056118256,0.0000015722815,0.0000021150056,0.00000439934,0.0000061452606,0.99814105,0.00025700775,0.00091332174,0.00010477379,0.000002650902],"about_ca_topic_score_codex":0.013102451,"about_ca_topic_score_gemma":0.010772634,"teacher_disagreement_score":0.013102451,"about_ca_system_score_codex":0.0007487069,"about_ca_system_score_gemma":0.000916308,"threshold_uncertainty_score":0.026052356},"labels":[],"label_agreement":null},{"id":"W2987488488","doi":"10.1016/j.energy.2019.116476","title":"Intelligent energy management system for conventional autonomous vehicles","year":2019,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Australian Government; Australian Education International, Australian Government","keywords":"Automotive engineering; Energy management; Throttle; Energy consumption; Fuel efficiency; Engineering; Energy management system; Fuzzy logic; Torque; Intelligent control; Control engineering; Energy (signal processing); Computer science; Electrical engineering; Artificial intelligence","score_opus":0.004363663084260547,"score_gpt":0.17886565265099194,"score_spread":0.1745019895667314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987488488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30985636,0.0006936889,0.6247257,0.0006508902,0.00067726744,0.00034335474,0.0005387924,0.013282017,0.04923197],"genre_scores_gemma":[0.975109,0.00008804166,0.015339548,0.00007465574,0.000042339812,0.00008654842,0.00022239062,0.000036514062,0.009001076],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999866,0.000011756802,0.000009738081,0.000046155415,0.000044531727,0.000021681228],"domain_scores_gemma":[0.99986625,0.000015591433,0.000015142826,0.000020659,0.00006869122,0.000013701961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018161073,0.00036025041,0.00035520032,0.00040458638,0.000660818,0.0007270988,0.0006928223,0.00036622366,0.00325972],"category_scores_gemma":[0.0002103258,0.00015139868,0.00016991954,0.00026198768,0.00019115425,0.00050342985,0.00037328282,0.00026067434,0.0008055949],"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":[0.0014315073,0.00077719416,0.010013829,0.00029492914,0.0001317265,0.0005440945,0.00050122273,0.1948836,0.122087926,0.016433584,0.03534394,0.61755645],"study_design_scores_gemma":[0.00009010489,0.0003234794,0.003668062,0.0000140834345,0.00007095966,0.000109144996,0.00010039214,0.9587685,0.016403789,0.0030465163,0.017373102,0.000031841704],"about_ca_topic_score_codex":0.0039390596,"about_ca_topic_score_gemma":0.005448528,"teacher_disagreement_score":0.0039390596,"about_ca_system_score_codex":0.00044901596,"about_ca_system_score_gemma":0.00059303886,"threshold_uncertainty_score":0.010904849},"labels":[],"label_agreement":null},{"id":"W2988567901","doi":"10.1109/jsac.2019.2951989","title":"Decentralized PEV Power Allocation With Power Distribution and Transportation Constraints","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Kernel density estimation; Electric vehicle; Scalability; Mathematical optimization; Grid; Scheduling (production processes); Plug-in; Power (physics); Mathematics","score_opus":0.005887803986968835,"score_gpt":0.21933849906264666,"score_spread":0.21345069507567782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988567901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016401654,0.00011367629,0.9795344,0.0001356348,0.000029909794,0.000037949038,0.000045549747,0.000116196046,0.0035850978],"genre_scores_gemma":[0.9410463,0.00019107948,0.05402068,0.000061929975,0.000057002424,0.00010839786,0.000092128816,0.000053461972,0.004369065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994634,0.00014303015,0.000021806987,0.00014715835,0.00013087573,0.00009386778],"domain_scores_gemma":[0.999466,0.00024393345,0.000076801945,0.000059337024,0.0001228942,0.000031026262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052124064,0.00070530106,0.0010893196,0.00032335232,0.00049809273,0.0010701938,0.0012353784,0.0008194502,0.001918244],"category_scores_gemma":[0.0017625365,0.00045486755,0.000421283,0.0007962624,0.0004731845,0.0013527992,0.00088878465,0.0009066417,0.00028350254],"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":[0.000034182536,0.0000265486,0.00022014044,0.000051160394,0.000013593323,0.00006909055,0.00002639604,0.96717316,0.0022935574,0.009881911,0.00086428405,0.01934595],"study_design_scores_gemma":[0.0000056645126,0.000015045859,0.00007773616,0.0000014296311,0.0000033173446,0.000018251123,0.0000110577,0.99527776,0.0003585997,0.0038271835,0.00040082404,0.0000031083607],"about_ca_topic_score_codex":0.0034565905,"about_ca_topic_score_gemma":0.0036266411,"teacher_disagreement_score":0.0034565905,"about_ca_system_score_codex":0.0007868741,"about_ca_system_score_gemma":0.0011295673,"threshold_uncertainty_score":0.006872952},"labels":[],"label_agreement":null},{"id":"W2990691480","doi":"10.1109/tiv.2019.2955370","title":"A Novel Electric Vehicles Charging/Discharging Management Protocol Based on Queuing Model","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":155,"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 Ottawa","funders":"","keywords":"Electric vehicle; Queueing theory; Vehicle-to-grid; Grid; Charging station; Smart grid; Computer science; Automotive engineering; Schedule; Simulation; Electrical engineering; Engineering; Power (physics); Computer network; Operating system","score_opus":0.011809219364435245,"score_gpt":0.23107866229857627,"score_spread":0.21926944293414102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990691480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009178973,0.00028840022,0.98486346,0.00040681404,0.00022440484,0.00024322423,0.00013928591,0.0008053754,0.0038501336],"genre_scores_gemma":[0.80223507,0.0010179206,0.18427035,0.00048228065,0.0002477386,0.0007544767,0.00039931064,0.00012211653,0.010470732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857306,0.00034589178,0.00014016054,0.00028322364,0.00039107157,0.00026659787],"domain_scores_gemma":[0.9989831,0.0004052403,0.00011009708,0.00007936365,0.00034059142,0.000081590144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015820038,0.0008024444,0.0011014242,0.000671426,0.0012351625,0.0018712307,0.0027176838,0.0009547039,0.003276567],"category_scores_gemma":[0.002072118,0.00044374037,0.0007902153,0.0010220119,0.00064780965,0.0019078001,0.0013279339,0.0014977625,0.0005677192],"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":[0.0005089951,0.0005166838,0.0018517987,0.00032208374,0.00013957536,0.0005245169,0.00033495913,0.6745294,0.017056044,0.1700857,0.013254867,0.12087532],"study_design_scores_gemma":[0.000026051252,0.000069178845,0.00006737284,0.000007446716,0.000020469051,0.00003692752,0.000017197557,0.99121547,0.0009710983,0.0053891954,0.0021629308,0.000016643253],"about_ca_topic_score_codex":0.00798387,"about_ca_topic_score_gemma":0.007252128,"teacher_disagreement_score":0.00798387,"about_ca_system_score_codex":0.0021114573,"about_ca_system_score_gemma":0.004040452,"threshold_uncertainty_score":0.015874803},"labels":[],"label_agreement":null},{"id":"W2991487299","doi":"","title":"A matheuristic algorithm to solve the electric vehicle routing problem with capacitated charging stations","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Solver; Mathematical optimization; Charging station; Electric vehicle; Linear programming; Integer programming; Routing (electronic design automation); Vehicle routing problem; Piecewise linear function; Algorithm; Computer network; Mathematics","score_opus":0.006043753147614424,"score_gpt":0.1884140578865116,"score_spread":0.18237030473889718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991487299","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076661757,0.00014347387,0.9791836,0.0002587216,0.00006798303,0.0001264328,0.00011181154,0.0008831084,0.01155874],"genre_scores_gemma":[0.08679072,0.00014238016,0.90754294,0.0001820785,0.000041646894,0.00044608748,0.0003026522,0.00017434453,0.0043771854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962306,0.00009922496,0.00002053748,0.000094073315,0.000112236805,0.000050903516],"domain_scores_gemma":[0.999368,0.00043744023,0.00004508449,0.000043291555,0.00008125453,0.000024976167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006908436,0.0011469087,0.00058684254,0.0009562352,0.00059276307,0.0010577132,0.0014649929,0.0013865484,0.008573306],"category_scores_gemma":[0.002414022,0.000451302,0.00081055454,0.0009474665,0.0005820589,0.0008861649,0.0009707387,0.0011311086,0.0015741416],"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":[0.00014789721,0.00022136376,0.00060022174,0.00022814808,0.0000701748,0.00009740958,0.00011161919,0.8033974,0.0021453972,0.04273353,0.005337577,0.14490937],"study_design_scores_gemma":[0.0000619136,0.000046693094,0.000056977133,0.000014047218,0.000010486812,0.000036815458,0.000019499395,0.9843106,0.00042984466,0.012194669,0.0028122973,0.000006127488],"about_ca_topic_score_codex":0.003777403,"about_ca_topic_score_gemma":0.0049209297,"teacher_disagreement_score":0.008573306,"about_ca_system_score_codex":0.0010145347,"about_ca_system_score_gemma":0.0019210514,"threshold_uncertainty_score":0.028680503},"labels":[],"label_agreement":null},{"id":"W2992461805","doi":"10.1109/tits.2019.2956807","title":"A Survey on Electric Buses—Energy Storage, Power Management, and Charging Scheduling","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":90,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Powertrain; Regenerative brake; Electricity; Automotive engineering; Electrification; Energy storage; Engineering; Driving range; Electric vehicle; Energy management; Battery electric vehicle; Sizing; Computer science; Transport engineering; Systems engineering; Electrical engineering; Energy (signal processing); Power (physics)","score_opus":0.010259106359792285,"score_gpt":0.20829305447063606,"score_spread":0.19803394811084377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992461805","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004574261,0.94683707,0.01365121,0.0013468526,0.0010141723,0.00005346568,0.0004047407,0.00017432043,0.031943865],"genre_scores_gemma":[0.01736393,0.9692137,0.004613759,0.00043430884,0.0011437734,0.00003454595,0.0006705142,0.00003396709,0.0064914934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997348,0.000052812044,0.00003714711,0.000061022165,0.0000867467,0.000027427912],"domain_scores_gemma":[0.99945945,0.00026976856,0.00005394949,0.0000264747,0.00016414758,0.000026107286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037560487,0.0009160915,0.0007412381,0.0023171601,0.00032416935,0.0011224801,0.0007493101,0.00067429076,0.0063811303],"category_scores_gemma":[0.0008797571,0.00044140272,0.0004554253,0.006934273,0.00022805786,0.002117901,0.00045767045,0.00054725574,0.001996138],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000937781,0.00010884303,0.0017288146,0.010694114,0.00007935478,0.00016259003,0.00014014401,0.007860684,0.0015492812,0.021202767,0.052500907,0.9038788],"study_design_scores_gemma":[0.000009815723,0.00016922527,0.0024558895,0.0026045383,0.00009835435,0.00061608746,0.00028674235,0.004620229,0.0011165056,0.008365765,0.9796195,0.00003742249],"about_ca_topic_score_codex":0.0024996805,"about_ca_topic_score_gemma":0.0025467582,"teacher_disagreement_score":0.0063811303,"about_ca_system_score_codex":0.00051793107,"about_ca_system_score_gemma":0.00097563345,"threshold_uncertainty_score":0.021346986},"labels":[],"label_agreement":null},{"id":"W2994656601","doi":"10.3390/wevj11010002","title":"Predicting Electric Vehicle Consumption: A Hybrid Physical-Empirical Model","year":2019,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Energy consumption; Consumption (sociology); Electric vehicle; Computer science; Point (geometry); Order (exchange); Energy (signal processing); Electric energy consumption; Operations research; Econometrics; Engineering; Economics; Electric energy; Statistics; Mathematics","score_opus":0.00982671945633185,"score_gpt":0.2328762583426408,"score_spread":0.22304953888630896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994656601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47427684,0.0010367046,0.49986902,0.002126049,0.00014737796,0.00016733527,0.0025903347,0.0011379807,0.018648362],"genre_scores_gemma":[0.9681321,0.00030623318,0.02306055,0.0001117593,0.000052243933,0.000119750766,0.000986514,0.000052452513,0.0071783573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972516,0.00007544614,0.000015501899,0.00009328918,0.00005600498,0.000034610384],"domain_scores_gemma":[0.9993092,0.00042687042,0.00006528041,0.000053754866,0.00011652394,0.000028382367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006803332,0.0005887474,0.0005098427,0.00069781864,0.00024666567,0.0012360145,0.0017192658,0.0014530234,0.003626567],"category_scores_gemma":[0.0021597657,0.00040592032,0.000673904,0.00084428914,0.00047879812,0.0018329533,0.00063117995,0.0008918126,0.000647385],"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":[0.00004259527,0.00009072599,0.005693811,0.000030662904,0.000039095594,0.000054887158,0.0000284141,0.97823447,0.00030869123,0.0029471782,0.00075012835,0.011779402],"study_design_scores_gemma":[0.000003000294,0.000010423492,0.00083058525,0.000003817195,0.00000640335,0.00000855461,0.0000068915115,0.99768674,0.000055208882,0.0011356734,0.0002484496,0.000004220055],"about_ca_topic_score_codex":0.017486652,"about_ca_topic_score_gemma":0.011434865,"teacher_disagreement_score":0.017486652,"about_ca_system_score_codex":0.00077856105,"about_ca_system_score_gemma":0.0005005157,"threshold_uncertainty_score":0.034769773},"labels":[],"label_agreement":null},{"id":"W2995542920","doi":"10.1155/2019/9572746","title":"Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Energy storage; Smart grid; Grid; Environmental economics; Engineering; Electric potential energy; Automotive engineering; Transport engineering; Computer science; Energy (signal processing); Electrical engineering","score_opus":0.0015141797368752488,"score_gpt":0.16435394728289393,"score_spread":0.16283976754601867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995542920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33824927,0.0018338395,0.5834593,0.0012310665,0.00021123039,0.00025349268,0.0014607292,0.00043252434,0.0728686],"genre_scores_gemma":[0.9688721,0.0005832857,0.010608633,0.000050206967,0.000026100817,0.000118501666,0.00023984656,0.00003767173,0.019463733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968255,0.000101563615,0.000008088694,0.00007384874,0.00005887173,0.00007513154],"domain_scores_gemma":[0.9998642,0.000056788813,0.000024041998,0.000010346431,0.000025279798,0.000019239269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028380624,0.000751387,0.0008897836,0.0004596285,0.00057992776,0.0018591284,0.00093527435,0.0014624783,0.004506583],"category_scores_gemma":[0.0004198344,0.0005131163,0.0007710261,0.00096176896,0.0006163744,0.0012146698,0.0008769843,0.0006468577,0.00040790797],"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":[0.000033360244,0.000029456463,0.00037064715,0.00003150981,0.000018699255,0.000093744486,0.000011987055,0.98890495,0.00057439395,0.00705992,0.00028003968,0.0025913187],"study_design_scores_gemma":[0.000021745882,0.000057404286,0.0003781058,0.000008454134,0.0000243678,0.00003927784,0.000059584316,0.99321944,0.0004809144,0.0034809608,0.0022214854,0.000008416886],"about_ca_topic_score_codex":0.008589099,"about_ca_topic_score_gemma":0.012581116,"teacher_disagreement_score":0.008589099,"about_ca_system_score_codex":0.0013862336,"about_ca_system_score_gemma":0.0014766959,"threshold_uncertainty_score":0.017078161},"labels":[],"label_agreement":null},{"id":"W2997578005","doi":"10.1016/j.ejor.2020.01.055","title":"Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel","year":2020,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electric vehicle; Mathematical optimization; Heuristic; Software deployment; Novelty; Integer programming; Time horizon; Operations research; Linear programming; State (computer science); Charging station; Power (physics); Mathematics; Algorithm; Artificial intelligence","score_opus":0.038647356587535875,"score_gpt":0.2947704572191696,"score_spread":0.25612310063163374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997578005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88462836,0.0003894302,0.09352429,0.00096050854,0.00008153619,0.00020275622,0.000230855,0.0005707252,0.019411525],"genre_scores_gemma":[0.9936591,0.00006061257,0.0053707086,0.000021289496,0.000007480853,0.000015711594,0.00004028756,0.000014765998,0.00081011764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994808,0.00016320951,0.000015703048,0.000098617966,0.00006744918,0.00017420198],"domain_scores_gemma":[0.9982753,0.000765852,0.00022692927,0.00013488973,0.00039809404,0.00019894692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083737634,0.00047328894,0.00035511702,0.0005920141,0.00035477392,0.0012090027,0.00091643236,0.00063998083,0.0065621664],"category_scores_gemma":[0.0049544084,0.00024397238,0.00029586628,0.0007755846,0.00026844878,0.0019626934,0.0009016164,0.00047611768,0.00072836236],"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":[0.0011151773,0.001637759,0.068946406,0.00037582984,0.00018269112,0.00037954882,0.0005759763,0.4672328,0.022620482,0.027980125,0.0081903655,0.40076277],"study_design_scores_gemma":[0.00036034756,0.0016124172,0.0813937,0.00009477664,0.00036632793,0.0002879594,0.0051263995,0.85970175,0.011699414,0.02426963,0.0149859935,0.000101310645],"about_ca_topic_score_codex":0.0055259517,"about_ca_topic_score_gemma":0.014570606,"teacher_disagreement_score":0.0065621664,"about_ca_system_score_codex":0.0007158165,"about_ca_system_score_gemma":0.0019204901,"threshold_uncertainty_score":0.02195263},"labels":[],"label_agreement":null},{"id":"W2997578696","doi":"10.1109/access.2019.2963692","title":"Distributed Optimal Vehicle-To-Grid Approaches With Consideration of Battery Degradation Cost Under Real-Time Pricing","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":123,"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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Computer science; Automotive engineering; Vehicle-to-grid; Grid; Battery (electricity); Demand response; Distributed generation; Load shifting; Electric vehicle; Simulation; Power (physics); Mathematical optimization; Electrical engineering; Engineering; Electricity; Renewable energy; Mathematics","score_opus":0.03321952800349895,"score_gpt":0.23048720137116863,"score_spread":0.19726767336766968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997578696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025556894,0.0006309746,0.96210647,0.00053076417,0.00011448417,0.00007896564,0.000102746635,0.00021117475,0.010667579],"genre_scores_gemma":[0.9558528,0.00048113347,0.03673102,0.00012399936,0.000059189537,0.00013048147,0.00009094908,0.00008903674,0.006441474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994479,0.00021175161,0.000017877393,0.00010753014,0.000121229714,0.000093698174],"domain_scores_gemma":[0.9993228,0.0003639449,0.00009559604,0.000030928884,0.00014408206,0.000042768446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008753376,0.0015941003,0.0016861494,0.00057820167,0.0005441199,0.0014597129,0.0016137648,0.001330002,0.00366066],"category_scores_gemma":[0.0017010722,0.00091062207,0.0008690904,0.00079114054,0.0007317052,0.0013771954,0.00088791706,0.0012172022,0.00037311527],"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":[0.000013819891,0.000011407191,0.00007158143,0.000012362625,0.000009315252,0.000018884959,0.0000077697305,0.99524975,0.00007739038,0.0022179696,0.00017962494,0.0021300854],"study_design_scores_gemma":[0.000004685638,0.0000074159375,0.000019029265,0.0000011910565,0.0000033837657,0.0000031061577,0.0000048242805,0.9984383,0.00003207866,0.0013702658,0.00011397139,0.000001775253],"about_ca_topic_score_codex":0.013670209,"about_ca_topic_score_gemma":0.010904225,"teacher_disagreement_score":0.013670209,"about_ca_system_score_codex":0.001784743,"about_ca_system_score_gemma":0.00146514,"threshold_uncertainty_score":0.027181268},"labels":[],"label_agreement":null},{"id":"W2997591187","doi":"10.1016/j.apenergy.2019.114077","title":"Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Renewable energy; Exploit; Zero-energy building; Energy consumption; Electric vehicle; Environmental economics; Energy management; Electricity; Engineering; Computer science; Architectural engineering; Civil engineering; Energy (signal processing)","score_opus":0.010270036396878573,"score_gpt":0.2360924254674756,"score_spread":0.22582238907059704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997591187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052931424,0.00095859764,0.9071275,0.000761941,0.00008080986,0.000261807,0.00027612117,0.00013667946,0.03746514],"genre_scores_gemma":[0.9320829,0.0009954263,0.0593428,0.00013871049,0.00009599704,0.0002686848,0.0001331655,0.00009149686,0.0068507404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980253,0.0010267567,0.000046678007,0.00017646264,0.00052592304,0.00019897982],"domain_scores_gemma":[0.996977,0.002354507,0.00014984932,0.00016451246,0.00029794872,0.000056222336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038880352,0.0016777273,0.0015337163,0.0017663378,0.0007910915,0.002699222,0.0013049329,0.0014943983,0.0043113423],"category_scores_gemma":[0.006406273,0.00087106606,0.0028541514,0.001275859,0.0019003312,0.0028087546,0.0020430884,0.0021433616,0.0002522555],"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":[0.000019099223,0.000045897297,0.00012270754,0.00005677422,0.000033906934,0.000035254674,0.00003101683,0.9684304,0.0005978637,0.022802789,0.0002846657,0.0075396895],"study_design_scores_gemma":[0.0000036993065,0.0000581701,0.00021306876,0.00001601673,0.000029651446,0.000028069435,0.000032274555,0.97473294,0.00048043733,0.023825785,0.0005612472,0.00001875861],"about_ca_topic_score_codex":0.00501358,"about_ca_topic_score_gemma":0.0028874113,"teacher_disagreement_score":0.00501358,"about_ca_system_score_codex":0.0014817549,"about_ca_system_score_gemma":0.0016990668,"threshold_uncertainty_score":0.020562172},"labels":[],"label_agreement":null},{"id":"W2998110655","doi":"10.3390/electronics9010080","title":"EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Smart grid; Scheduling (production processes); Quality of service; Cloud computing; Architecture; Distributed computing; Electric vehicle; Grid; Internet of Things; Real-time computing; Embedded system; Computer network; Engineering; Power (physics); Electrical engineering","score_opus":0.01460065267766252,"score_gpt":0.23633299459413654,"score_spread":0.221732341916474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998110655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6000828,0.000335463,0.39204043,0.00022833236,0.00006617802,0.0001311948,0.00028633123,0.0012604811,0.0055687423],"genre_scores_gemma":[0.98255676,0.00005920307,0.016727949,0.00002805509,0.0000070559386,0.000023328996,0.00016888964,0.000010566511,0.0004182782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997358,0.00006528921,0.000019465113,0.00004544631,0.00008623422,0.000047749305],"domain_scores_gemma":[0.9998129,0.000061162566,0.00002917039,0.000021944168,0.000062689294,0.000012137459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038690306,0.0004797621,0.00038381942,0.0013788209,0.0002654833,0.0006201956,0.00029122704,0.00030151018,0.0005405459],"category_scores_gemma":[0.0007617503,0.00011467304,0.00048519284,0.0009921659,0.00018903721,0.0005633104,0.00027827098,0.00026875356,0.00018203739],"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":[0.00063368323,0.0003699976,0.07209253,0.00013602368,0.00025157258,0.00045806624,0.0002436886,0.5784719,0.017690154,0.003711917,0.0021964395,0.32374397],"study_design_scores_gemma":[0.00000331052,0.00003626557,0.0064679696,0.000003339388,0.000011243297,0.000036755297,0.000045903787,0.99092734,0.0015739225,0.0006479743,0.00023836484,0.00000747833],"about_ca_topic_score_codex":0.00497037,"about_ca_topic_score_gemma":0.003318631,"teacher_disagreement_score":0.00497037,"about_ca_system_score_codex":0.00043293246,"about_ca_system_score_gemma":0.00023646768,"threshold_uncertainty_score":0.009882867},"labels":[],"label_agreement":null},{"id":"W2998134105","doi":"10.1016/j.trc.2019.12.006","title":"The Plugin Hybrid Electric Vehicle routing problem: A power-management strategy model","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Plug-in; Heuristic; Computer science; Electricity; Mathematical optimization; Routing (electronic design automation); Power management; Energy management; Automotive engineering; Battery (electricity); Electricity pricing; Power (physics); Energy (signal processing); Electricity market; Engineering; Electrical engineering; Mathematics; Embedded system","score_opus":0.03039907134304145,"score_gpt":0.2791963834977858,"score_spread":0.24879731215474435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998134105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16630241,0.0014618622,0.75814575,0.005054111,0.0002035298,0.00033710946,0.0016942495,0.00038674107,0.06641433],"genre_scores_gemma":[0.9230816,0.00074850675,0.030098956,0.0002772308,0.00010586966,0.00021175778,0.0004588574,0.000091804744,0.044925466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962723,0.00018001095,0.00000871165,0.000075136115,0.000039445382,0.00006942351],"domain_scores_gemma":[0.9993973,0.0003857852,0.00006209612,0.000019671921,0.00006352361,0.00007172717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078979303,0.0013354365,0.0014878821,0.0007888456,0.0005561636,0.0022376007,0.002126968,0.0032508252,0.008405526],"category_scores_gemma":[0.002027589,0.0009381657,0.00064003875,0.0012401515,0.000950711,0.0023799322,0.0010779836,0.0012410011,0.00060555746],"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":[0.00007011672,0.00006200137,0.00020017798,0.000061813436,0.00002193435,0.00012475457,0.000025500452,0.9656631,0.00022629315,0.026594426,0.0023154027,0.00463445],"study_design_scores_gemma":[0.000023345985,0.00002675454,0.00007032492,0.000006063569,0.000009785428,0.000021170275,0.0000267018,0.98860264,0.00005930893,0.010534453,0.00061401934,0.000005322356],"about_ca_topic_score_codex":0.009112767,"about_ca_topic_score_gemma":0.008234053,"teacher_disagreement_score":0.009112767,"about_ca_system_score_codex":0.0018166916,"about_ca_system_score_gemma":0.0013515321,"threshold_uncertainty_score":0.028119326},"labels":[],"label_agreement":null},{"id":"W2999585053","doi":"10.1016/j.apenergy.2019.114422","title":"A probabilistic fleet analysis for energy consumption, life cycle cost and greenhouse gas emissions modelling of bus technologies","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Greenhouse gas; Life-cycle assessment; Diesel fuel; Life-cycle cost analysis; Engineering; Sizing; Carbon footprint; Energy consumption; Drivetrain; Probabilistic logic; Environmental economics; Automotive engineering; Reliability engineering; Computer science; Production (economics); Economics","score_opus":0.015974118362280094,"score_gpt":0.19691281986762407,"score_spread":0.18093870150534397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999585053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20255771,0.0006365485,0.77393967,0.00044665916,0.000059802212,0.00023410545,0.0020764926,0.00042365253,0.019625368],"genre_scores_gemma":[0.9321235,0.00054064434,0.054592744,0.00006316512,0.000033695036,0.000261983,0.0012932818,0.00019567017,0.010895314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995141,0.00021314646,0.000021846748,0.00006234621,0.00012315059,0.00006541783],"domain_scores_gemma":[0.99875045,0.0009392681,0.000085783904,0.000072123374,0.00011762588,0.00003469899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014331425,0.0008691202,0.0009554906,0.0012224697,0.00057911914,0.0009790956,0.0013313257,0.0011862924,0.0057022185],"category_scores_gemma":[0.0027889712,0.000914344,0.0023826314,0.001335046,0.00052465807,0.0017117937,0.0007118803,0.0009587187,0.00047155563],"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":[0.0000060778434,0.000004490548,0.00006263385,0.0000049185855,0.000007585613,0.0000062594468,0.000002223559,0.99784887,0.00006429098,0.0011567742,0.000045828187,0.0007900295],"study_design_scores_gemma":[0.0000015090733,0.000007892417,0.00011563265,0.0000018415591,0.0000050525914,0.0000049349555,0.0000017964837,0.99844474,0.00003958734,0.0012566716,0.00011820242,0.0000022002607],"about_ca_topic_score_codex":0.031858392,"about_ca_topic_score_gemma":0.022356316,"teacher_disagreement_score":0.031858392,"about_ca_system_score_codex":0.0017122559,"about_ca_system_score_gemma":0.001478145,"threshold_uncertainty_score":0.06334591},"labels":[],"label_agreement":null},{"id":"W3000589502","doi":"10.1016/j.erss.2019.101411","title":"Which plug-in electric vehicle policies are best? A multi-criteria evaluation framework applied to Canada","year":2020,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Pacific Institute for Climate Solutions; George Cedric Metcalf Charitable Foundation","keywords":"Plug-in; Electric vehicle; Computer science; Automotive engineering; Business; Engineering; Operating system; Power (physics)","score_opus":0.04172263874169371,"score_gpt":0.33911860910832087,"score_spread":0.2973959703666271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000589502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53063756,0.018207127,0.21030667,0.024497533,0.00032134232,0.014602966,0.006907544,0.000368324,0.19415091],"genre_scores_gemma":[0.8853878,0.0023338005,0.105410956,0.0006912791,0.000026411586,0.0017992457,0.0008436427,0.00003285386,0.0034741738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.961964,0.02658158,0.0011964015,0.0014020639,0.0058796885,0.0029762108],"domain_scores_gemma":[0.9624641,0.020172855,0.0013945926,0.0004884575,0.013921297,0.0015586728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034472432,0.0019153475,0.0018236518,0.005982235,0.003333138,0.006517125,0.0021956332,0.0019044236,0.0022081323],"category_scores_gemma":[0.05644372,0.0005433008,0.0018701081,0.006132785,0.0032185703,0.0016632314,0.0023461382,0.001989562,0.00012693914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015496658,0.0007751602,0.044118173,0.004707534,0.0013433166,0.0010256951,0.0031670558,0.57501924,0.0017827369,0.20914368,0.016573569,0.14079422],"study_design_scores_gemma":[0.00097338425,0.0010375925,0.033889394,0.0026547767,0.0010066507,0.00020431087,0.005530946,0.84408,0.0019616357,0.07894774,0.029319804,0.00039375058],"about_ca_topic_score_codex":0.89213413,"about_ca_topic_score_gemma":0.84129035,"teacher_disagreement_score":0.10786587,"about_ca_system_score_codex":0.09232524,"about_ca_system_score_gemma":0.12215488,"threshold_uncertainty_score":0.66986966},"labels":[],"label_agreement":null},{"id":"W3002283870","doi":"10.3390/wevj11010014","title":"V2B/V2G on Energy Cost and Battery Degradation under Different Driving Scenarios, Peak Shaving, and Frequency Regulations","year":2020,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Battery (electricity); Automotive engineering; Backup; Electricity; State of charge; Depth of discharge; Vehicle-to-grid; Energy storage; Peaking power plant; Computer science; Driving range; Electric vehicle; Electrical engineering; Engineering; Renewable energy; Power (physics); Distributed generation","score_opus":0.008909833724626042,"score_gpt":0.19526836778731552,"score_spread":0.18635853406268948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002283870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97401595,0.00037665386,0.018725961,0.00026335596,0.000024094605,0.000049109418,0.00015336649,0.00005319949,0.006338253],"genre_scores_gemma":[0.9988275,0.00005585713,0.0007265013,0.00001272007,0.0000017225218,0.0000060278767,0.000025341258,0.000006026756,0.00033843008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996636,0.00009427841,0.000010800844,0.00003182954,0.00005180906,0.0001476035],"domain_scores_gemma":[0.99923,0.00048369967,0.00007589461,0.000031529606,0.0001280781,0.00005083369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010760879,0.0008483314,0.00071111135,0.00052398816,0.0003240544,0.0007235838,0.0004842327,0.0005491038,0.00088256516],"category_scores_gemma":[0.0018772619,0.0002350354,0.0004672788,0.00055745273,0.00046564164,0.0008022884,0.00049431995,0.00040874683,0.00007526737],"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":[0.00010384168,0.00004434226,0.0012994827,0.00003456173,0.000017949413,0.00008161431,0.000011328242,0.99286795,0.0013009768,0.0007877038,0.00014870947,0.003301596],"study_design_scores_gemma":[0.000005411204,0.0000946454,0.0017018165,0.000005543818,0.000019733687,0.00002621354,0.00005273439,0.99669814,0.0009630286,0.00032771725,0.000099537094,0.0000055256232],"about_ca_topic_score_codex":0.015206705,"about_ca_topic_score_gemma":0.014477778,"teacher_disagreement_score":0.015206705,"about_ca_system_score_codex":0.0011027907,"about_ca_system_score_gemma":0.0008622055,"threshold_uncertainty_score":0.030236363},"labels":[],"label_agreement":null},{"id":"W3002491480","doi":"","title":"Energy consumption and GHG emissions evaluation of conventional and battery-electric refuse collection trucks","year":2019,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Battery (electricity); Waste management; Greenhouse gas; Energy consumption; Environmental science; Consumption (sociology); Engineering; Automotive engineering; Electrical engineering","score_opus":0.017217636353124923,"score_gpt":0.25884102192134706,"score_spread":0.24162338556822213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002491480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948543,0.00019966395,0.00089848007,0.000012354579,0.00000778851,0.000047934795,0.00082486524,0.000016107186,0.003138535],"genre_scores_gemma":[0.9911369,0.00036874288,0.001363965,0.000016595526,0.0000021587987,0.00006769996,0.0015485663,0.00001977168,0.0054755746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999703,0.00003025858,0.000017090963,0.00005574658,0.00015245784,0.000041531297],"domain_scores_gemma":[0.9997975,0.000043690157,0.00002228725,0.000014134749,0.000111495785,0.000010922404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034841473,0.0004229937,0.00036962327,0.0008535462,0.00034999836,0.00040642952,0.0004223899,0.00040776003,0.0026092515],"category_scores_gemma":[0.00029507413,0.00014282532,0.00061013043,0.0010917318,0.00017549188,0.000554118,0.00027688846,0.00026331263,0.0005923812],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010140049,0.002470883,0.19054893,0.0028131395,0.0004082568,0.0018004221,0.0007711965,0.112764634,0.48102304,0.0021108356,0.003960804,0.19118784],"study_design_scores_gemma":[0.00018811894,0.0077968678,0.32688066,0.00016951523,0.00039182534,0.00052030844,0.0032442368,0.10481716,0.5313401,0.0012428361,0.02322484,0.00018348396],"about_ca_topic_score_codex":0.009571849,"about_ca_topic_score_gemma":0.019306663,"teacher_disagreement_score":0.99042815,"about_ca_system_score_codex":0.0006409312,"about_ca_system_score_gemma":0.00030756183,"threshold_uncertainty_score":0.0190323},"labels":[],"label_agreement":null},{"id":"W3006575346","doi":"10.1016/j.ijhydene.2019.05.063","title":"Assessing the potential of fuel cell-powered and battery-powered forklifts for reducing GHG emissions using clean surplus power; a game theory approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Greenhouse gas; Battery (electricity); Environmental economics; Electricity; Diesel fuel; Business; Economics; Waste management; Power (physics); Engineering; Electrical engineering","score_opus":0.011452442777365575,"score_gpt":0.24069193176899784,"score_spread":0.22923948899163227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006575346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93372697,0.000610937,0.039812062,0.0006529511,0.000058260306,0.00052824966,0.00042715346,0.0000422639,0.024141286],"genre_scores_gemma":[0.9954045,0.00013345716,0.0030680925,0.00003279829,0.0000037199281,0.00006764222,0.000044385903,0.0000049951,0.0012405356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876827,0.0006627484,0.000025119503,0.00011917992,0.00020583921,0.00021881318],"domain_scores_gemma":[0.994558,0.004774927,0.00015525997,0.00007560938,0.0002841848,0.00015206628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004141063,0.0011179998,0.0009189975,0.001259831,0.00054270844,0.0020485607,0.001479735,0.002098842,0.0034848913],"category_scores_gemma":[0.0077992957,0.00048416466,0.0011931941,0.0007430257,0.00097191357,0.0027963598,0.0008887372,0.00091445516,0.00018153612],"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":[0.0014189046,0.00043296276,0.0038068835,0.00026686708,0.00016031787,0.0001403065,0.00005992618,0.9597592,0.0035291573,0.018565632,0.0003092531,0.011550646],"study_design_scores_gemma":[0.0002777454,0.003031431,0.0039955247,0.00004816072,0.00022050942,0.00003379616,0.00047489817,0.9695761,0.0032738284,0.017988715,0.0010247079,0.00005458142],"about_ca_topic_score_codex":0.01792013,"about_ca_topic_score_gemma":0.020379713,"teacher_disagreement_score":0.01792013,"about_ca_system_score_codex":0.003242388,"about_ca_system_score_gemma":0.0022399344,"threshold_uncertainty_score":0.035631657},"labels":[],"label_agreement":null},{"id":"W3007113520","doi":"10.3138/cpp.2019-014","title":"A First Look at Ontario’s Electric Vehicle Incentive Program: Who Are Ontario’s Green Drivers?","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Incentive; Probit model; Ordinary least squares; Business; Government (linguistics); Electric cars; Early adopter; Economics; Marketing; Engineering; Econometrics; Microeconomics","score_opus":0.009338566778924027,"score_gpt":0.18296922322383707,"score_spread":0.17363065644491305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007113520","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27002725,0.026894301,0.0007023824,0.5532982,0.0015214073,0.00024396433,0.008184995,0.00007919244,0.13904832],"genre_scores_gemma":[0.7717884,0.03467245,0.0017189642,0.06491936,0.0008655328,0.00015040977,0.003895371,0.000080819875,0.121908605],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989631,0.00006149305,0.000026083473,0.000061588886,0.00036372148,0.0005240305],"domain_scores_gemma":[0.9964055,0.00021845671,0.00029275424,0.000043327815,0.0016619414,0.0013780212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006476964,0.00023477292,0.00030578882,0.0013404506,0.0059626624,0.0020950662,0.0006377706,0.0014770685,0.0070894775],"category_scores_gemma":[0.0021230308,0.00022400849,0.00040601034,0.0025685728,0.0014409957,0.0016832647,0.00092904584,0.0015121412,0.0006292441],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016248846,0.000249882,0.34611925,0.0010144379,0.00006138315,0.0014131999,0.021815903,0.00023494687,0.0015199165,0.015764318,0.47848678,0.13315757],"study_design_scores_gemma":[0.000025513727,0.000095723255,0.49402526,0.0008008472,0.00006321282,0.00029630968,0.050768957,0.00030168597,0.0003173859,0.001548963,0.45166165,0.00009454157],"about_ca_topic_score_codex":0.9878257,"about_ca_topic_score_gemma":0.9974082,"teacher_disagreement_score":0.052037064,"about_ca_system_score_codex":0.052037064,"about_ca_system_score_gemma":0.084829204,"threshold_uncertainty_score":0.37755704},"labels":[],"label_agreement":null},{"id":"W3007241145","doi":"10.1155/2020/9473831","title":"An Alternative Fuel Refueling Station Location Model considering Detour Traffic Flows on a Highway Road System","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ulsan National Institute of Science and Technology; Hongik University","keywords":"TRIPS architecture; Location model; Transport engineering; Flow network; Range (aeronautics); Set (abstract data type); Alternative fuel vehicle; Travel time; Computer science; Integer programming; Engineering; Operations research; Mathematical optimization; Automotive engineering; Algorithm; Mathematics; Alternative fuels","score_opus":0.009926174677129697,"score_gpt":0.2229746058234034,"score_spread":0.2130484311462737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007241145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14870036,0.0009783033,0.83006114,0.0012459996,0.00018335569,0.00025032656,0.0016638325,0.00042044328,0.016496131],"genre_scores_gemma":[0.9013946,0.00066420774,0.078675814,0.0001740865,0.000064042724,0.0004154588,0.00092458184,0.00008504981,0.017602177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992976,0.00019254816,0.00002303587,0.00020389711,0.000090238886,0.00019268336],"domain_scores_gemma":[0.9991425,0.0003838646,0.0001440264,0.000028271852,0.0002002943,0.00010096981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094079546,0.001561883,0.00157719,0.0010773435,0.00076927675,0.0021031757,0.0037601155,0.0026779033,0.006949973],"category_scores_gemma":[0.0016761706,0.0009141341,0.0014135069,0.0017328259,0.001044096,0.00181033,0.001400357,0.0016605209,0.00060006295],"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":[0.000019549747,0.0000119526185,0.00023880083,0.000018284969,0.0000073303727,0.0000666345,0.000014003576,0.9956287,0.00016002466,0.0025790932,0.00020628406,0.0010493487],"study_design_scores_gemma":[0.000006244974,0.000009061928,0.00004284781,0.00000236422,0.0000047354374,0.0000065018944,0.000012437844,0.9991084,0.000033427146,0.00064928725,0.000121783574,0.0000028396248],"about_ca_topic_score_codex":0.034469645,"about_ca_topic_score_gemma":0.018664308,"teacher_disagreement_score":0.034469645,"about_ca_system_score_codex":0.0027165134,"about_ca_system_score_gemma":0.0019426385,"threshold_uncertainty_score":0.06853801},"labels":[],"label_agreement":null},{"id":"W3007249796","doi":"10.1049/iet-smc.2019.0076","title":"Smart electric vehicle charging management for smart cities","year":2020,"lang":"en","type":"article","venue":"IET Smart Cities","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"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 Ottawa","funders":"","keywords":"Reservation; Software deployment; Scheduling (production processes); Electric vehicle; Computer science; Charging station; Environmental economics; Transport engineering; Computer network; Power (physics); Operations management; Engineering","score_opus":0.009974060759496941,"score_gpt":0.1938751569531485,"score_spread":0.18390109619365155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007249796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15457024,0.0017015104,0.8126655,0.00096176326,0.0003574391,0.00020322223,0.0001714266,0.0016298554,0.027738959],"genre_scores_gemma":[0.9743128,0.00045437025,0.020074578,0.000078615834,0.000034278517,0.00004007473,0.00010162291,0.000027202846,0.0048765857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978286,0.000055093948,0.000016261187,0.000039039078,0.000058307072,0.00004855759],"domain_scores_gemma":[0.9998578,0.000028514803,0.000019437934,0.000026417469,0.000054071148,0.000013689592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004177096,0.00038414518,0.00036114562,0.00027605103,0.0005277485,0.0010262664,0.00062945794,0.00046869586,0.002316317],"category_scores_gemma":[0.0003860868,0.00017092869,0.00035647737,0.0004882649,0.0002595111,0.0011435618,0.0006407339,0.00041631507,0.0003796282],"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":[0.00020284373,0.00016024974,0.0028363043,0.00020665835,0.000057324207,0.00020941727,0.00022875234,0.6528981,0.01726032,0.032384958,0.007853253,0.28570187],"study_design_scores_gemma":[0.000016942844,0.000076073324,0.00088724226,0.000011842617,0.00002008512,0.00005520851,0.00015903683,0.9726681,0.0042778105,0.009355412,0.012454253,0.000017911585],"about_ca_topic_score_codex":0.0031608427,"about_ca_topic_score_gemma":0.0036073974,"teacher_disagreement_score":0.0031608427,"about_ca_system_score_codex":0.00072228035,"about_ca_system_score_gemma":0.0006765301,"threshold_uncertainty_score":0.007748902},"labels":[],"label_agreement":null},{"id":"W3007319410","doi":"10.1109/access.2020.2974477","title":"Decentralized Game-Theoretic Scheme for D-EVSE Based on Renewable Energy in Smart Cities: A Realistic Scenario","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Renewable energy; Computer science; Testbed; Smart grid; Game theory; Grid; Photovoltaic system; Scheme (mathematics); Distributed computing; Engineering; Electrical engineering; Computer network","score_opus":0.017111789100779057,"score_gpt":0.2407390440159964,"score_spread":0.22362725491521734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007319410","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1316484,0.00015569656,0.8511461,0.0005282895,0.0000588548,0.00027388602,0.00017668864,0.00020035388,0.01581186],"genre_scores_gemma":[0.98152953,0.00005327853,0.016414355,0.000035711535,0.000008072265,0.00007591719,0.000033565222,0.000009158125,0.0018402571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993123,0.00029545373,0.000021881702,0.00012573031,0.000113463786,0.0001312081],"domain_scores_gemma":[0.999426,0.00025113366,0.00009015817,0.000055352306,0.00009398635,0.0000833171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063081493,0.00060793455,0.0006393483,0.00025883675,0.00066871446,0.00089157006,0.0011494396,0.0010368342,0.002343546],"category_scores_gemma":[0.0012546387,0.00023385651,0.00050326576,0.00040709198,0.0007611862,0.0011831062,0.0013186077,0.00081541296,0.00018002732],"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":[0.000068333364,0.00004697048,0.00039259848,0.000032724794,0.000018835633,0.00020354595,0.000050193787,0.9632031,0.0021288563,0.029378412,0.00048685595,0.003989539],"study_design_scores_gemma":[0.000013197191,0.000025668447,0.00006578126,0.0000017538673,0.000004458011,0.000027473747,0.00002416263,0.9942409,0.00022657543,0.0049947384,0.00037066574,0.000004655277],"about_ca_topic_score_codex":0.0057528997,"about_ca_topic_score_gemma":0.006440485,"teacher_disagreement_score":0.0057528997,"about_ca_system_score_codex":0.0011911279,"about_ca_system_score_gemma":0.0011058068,"threshold_uncertainty_score":0.011438787},"labels":[],"label_agreement":null},{"id":"W3007898817","doi":"10.1109/globecom38437.2019.9013285","title":"Compensation of Charging Station Overload via On-Road Mobile Energy Storage Scheduling","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":"University of Waterloo","funders":"","keywords":"Stackelberg competition; Energy storage; Schedule; Computer science; Scheduling (production processes); Compensation (psychology); Automotive engineering; Operations research; Engineering; Power (physics); Operations management; Microeconomics; Economics; Operating system","score_opus":0.003929979557617072,"score_gpt":0.19172533710647297,"score_spread":0.1877953575488559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007898817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36629188,0.0001989427,0.6236819,0.00027859505,0.00009511761,0.00012904993,0.00005853307,0.00034015437,0.008925824],"genre_scores_gemma":[0.9948967,0.000025737876,0.004274714,0.000012495679,0.000008841492,0.000011074485,0.000011201865,0.0000063770935,0.0007528187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964654,0.00010438974,0.000015558424,0.00006142031,0.00005685095,0.00011523055],"domain_scores_gemma":[0.99949,0.00017899583,0.000103865794,0.000053827083,0.000089651716,0.00008363643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006163515,0.00053872913,0.00072433276,0.0003358531,0.00057064113,0.0005946431,0.0011868932,0.00047940618,0.0018701793],"category_scores_gemma":[0.001174326,0.00017240463,0.00031029675,0.00036551125,0.00038282253,0.00082331354,0.00076879753,0.00039006857,0.00016348997],"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":[0.00044541547,0.00022591618,0.002614808,0.00011625443,0.000065230364,0.00031591768,0.00016093909,0.8971975,0.0115416795,0.0150135895,0.0016514501,0.070651345],"study_design_scores_gemma":[0.000017170765,0.00011215341,0.0003368402,0.0000028398024,0.000013395402,0.000045488476,0.000054916585,0.99496514,0.001448588,0.002527998,0.00046929126,0.0000062290364],"about_ca_topic_score_codex":0.0028684554,"about_ca_topic_score_gemma":0.0037038042,"teacher_disagreement_score":0.0028684554,"about_ca_system_score_codex":0.0005781926,"about_ca_system_score_gemma":0.0009078001,"threshold_uncertainty_score":0.0062564015},"labels":[],"label_agreement":null},{"id":"W3008414868","doi":"10.1049/iet-gtd.2018.6547","title":"Real‐time agent‐based control of plug‐in electric vehicles for voltage and thermal management of LV networks: formulation and HIL validation","year":2020,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","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":"University of Victoria","funders":"H2020 European Institute of Innovation and Technology","keywords":"Plug-in; Computer science; Process (computing); Voltage; Energy management; Control (management); Automotive engineering; Reliability engineering; Engineering; Energy (signal processing); Electrical engineering","score_opus":0.00782841032026104,"score_gpt":0.20030503596141114,"score_spread":0.1924766256411501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008414868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05644355,0.00037232492,0.9314244,0.00020403124,0.00008809855,0.00016265905,0.000044145014,0.00024492622,0.011015797],"genre_scores_gemma":[0.9704137,0.00017460481,0.025368014,0.000027329617,0.000018494931,0.00018994375,0.000032028165,0.000019551686,0.003756361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987864,0.00004161298,0.0000045268243,0.00001524088,0.000036643214,0.000023394581],"domain_scores_gemma":[0.9996031,0.00022220812,0.000051998173,0.000016229016,0.0000887163,0.000017719804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005213863,0.0005169607,0.0004232716,0.00020393812,0.00022393181,0.0008840987,0.00057362864,0.0006485837,0.0027149338],"category_scores_gemma":[0.0008308541,0.00020324085,0.00035164456,0.00013418989,0.00059696485,0.00032594008,0.00049527385,0.00066357176,0.0001716902],"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":[0.000017607426,0.0000150103015,0.00009871575,0.000034682012,0.0000061535216,0.000023086635,0.00001593892,0.9939441,0.0007497418,0.00204158,0.0001067892,0.0029466103],"study_design_scores_gemma":[0.0000030702902,0.000014569504,0.000018616667,0.0000018467026,0.0000013145144,0.0000014530589,0.0000033171834,0.99954766,0.00013778084,0.00015064316,0.00011895394,7.9477445e-7],"about_ca_topic_score_codex":0.0056493985,"about_ca_topic_score_gemma":0.0049156644,"teacher_disagreement_score":0.0056493985,"about_ca_system_score_codex":0.0005079096,"about_ca_system_score_gemma":0.00083743583,"threshold_uncertainty_score":0.011233032},"labels":[],"label_agreement":null},{"id":"W3009066440","doi":"10.1109/globecom38437.2019.9014160","title":"Reinforcement Learning for Smart Charging of Electric Buses in Smart Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Smart grid; Computer science; Reinforcement; Grid; Electrical engineering; Engineering; Artificial intelligence; Structural engineering; Mathematics","score_opus":0.004853149142132736,"score_gpt":0.19120942602338434,"score_spread":0.18635627688125161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009066440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15532026,0.00080428686,0.83745193,0.0006060397,0.00011943079,0.000103102684,0.000080644466,0.0008427158,0.0046715904],"genre_scores_gemma":[0.9778244,0.00011440833,0.02066003,0.00011218842,0.000025752666,0.00005136502,0.00005209286,0.000020927848,0.0011388772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969494,0.000104229955,0.000015610392,0.00006876655,0.000048827234,0.00006766834],"domain_scores_gemma":[0.99877435,0.0008519053,0.00012894305,0.000033202436,0.0001436183,0.000067944784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009695368,0.00061303907,0.0010710735,0.0003340024,0.0002995047,0.0004644804,0.0007521606,0.0006792031,0.001766987],"category_scores_gemma":[0.0026016876,0.00032457322,0.00030825016,0.00030106952,0.0006400458,0.00056548696,0.0005540013,0.00097178307,0.0001709492],"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":[0.00006190844,0.000054733406,0.0007590348,0.00002596535,0.000016759917,0.00002899781,0.000020970547,0.97908807,0.00031922502,0.0017243817,0.00036562246,0.017534195],"study_design_scores_gemma":[0.0000068143086,0.000011156909,0.000051750158,0.000001379245,0.000001763807,0.0000022971012,0.0000022283684,0.9992149,0.000057618057,0.0006008124,0.00004812342,0.0000010822648],"about_ca_topic_score_codex":0.010354936,"about_ca_topic_score_gemma":0.008842873,"teacher_disagreement_score":0.010354936,"about_ca_system_score_codex":0.0008803051,"about_ca_system_score_gemma":0.001205166,"threshold_uncertainty_score":0.020589352},"labels":[],"label_agreement":null},{"id":"W3009193590","doi":"10.1016/j.energy.2020.117297","title":"Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle","year":2020,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":348,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Energy management; Computer science; Artificial intelligence; Electric vehicle; Process (computing); Deep learning; Battery (electricity); Brake; Industrial engineering; Mathematical optimization; Automotive engineering; Energy (signal processing); Power (physics); Engineering; Mathematics","score_opus":0.005796716055064546,"score_gpt":0.18951929709178503,"score_spread":0.18372258103672048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009193590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1654277,0.0005171987,0.8168576,0.0004253813,0.00014471143,0.000106601095,0.0001141118,0.0009273405,0.015479268],"genre_scores_gemma":[0.9887553,0.000034087203,0.009451446,0.00006817958,0.000008569583,0.000027828117,0.000031354066,0.000011164635,0.0016120855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.000020659721,0.0000087770495,0.000043022606,0.000038234415,0.000048959588],"domain_scores_gemma":[0.9997664,0.00006870579,0.000028944412,0.000017011567,0.00008976371,0.000029172204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036055225,0.0005495111,0.0006534409,0.0002519697,0.00030963484,0.00055704004,0.00099696,0.00064144516,0.0029198148],"category_scores_gemma":[0.00065662374,0.00022745656,0.0002651663,0.00018599845,0.0003396816,0.00050333893,0.00070214865,0.00067965407,0.00028993134],"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":[0.00013670992,0.0001242052,0.001060941,0.000040022966,0.00003029583,0.000111534806,0.000042222517,0.92486876,0.0032757137,0.003087843,0.001430236,0.0657915],"study_design_scores_gemma":[0.0000057747643,0.000022593233,0.000079901445,0.0000022304464,0.0000038845214,0.000007683501,0.0000038422395,0.99884355,0.00030356177,0.0006296047,0.00009533129,0.0000020759533],"about_ca_topic_score_codex":0.007994564,"about_ca_topic_score_gemma":0.009275477,"teacher_disagreement_score":0.007994564,"about_ca_system_score_codex":0.00052424095,"about_ca_system_score_gemma":0.000828209,"threshold_uncertainty_score":0.015896082},"labels":[],"label_agreement":null},{"id":"W3009879806","doi":"10.1109/jsyst.2019.2892002","title":"Improved Performance of Flywheel Fast Charging System (FFCS) Using Enhanced Artificial Immune System (EAIS)","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","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":"Ontario Tech University","funders":"","keywords":"Automotive engineering; Flywheel; Computer science; Electrification; Engineering; Electricity; Electrical engineering","score_opus":0.010855399273176032,"score_gpt":0.19272426171251572,"score_spread":0.1818688624393397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009879806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71957934,0.0009923443,0.25129417,0.0005454059,0.0002914564,0.0001147181,0.00006785165,0.0017991419,0.025315503],"genre_scores_gemma":[0.9961922,0.00004881776,0.0027665496,0.000030854557,0.0000052348873,0.000013048491,0.0000140626535,0.000004992397,0.00092410814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.000028039174,0.000012010696,0.00003074835,0.00004843423,0.00004188752],"domain_scores_gemma":[0.99987566,0.000033560984,0.000019179619,0.0000093163135,0.000053082935,0.000009205685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026486968,0.00038917252,0.0003052005,0.00019358235,0.0002458826,0.00037177882,0.00033540098,0.0004082729,0.0012591394],"category_scores_gemma":[0.00041703024,0.000061171915,0.0002584476,0.00012820425,0.00015424156,0.0002808703,0.00024364669,0.0002499874,0.00016091211],"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":[0.0008460949,0.00025385825,0.004122511,0.0003265577,0.00012174979,0.00035801769,0.0001895452,0.69436485,0.122734286,0.0035054113,0.0024033557,0.17077373],"study_design_scores_gemma":[0.000037634443,0.0006223803,0.0012389326,0.000012622646,0.000028530038,0.00009519967,0.000030918658,0.9660503,0.030066958,0.0004898394,0.0013106219,0.000016044243],"about_ca_topic_score_codex":0.0015995511,"about_ca_topic_score_gemma":0.00096786104,"teacher_disagreement_score":0.0015995511,"about_ca_system_score_codex":0.00025288956,"about_ca_system_score_gemma":0.0003366797,"threshold_uncertainty_score":0.0042122602},"labels":[],"label_agreement":null},{"id":"W3010140022","doi":"10.1109/globecom38437.2019.9013909","title":"A ROOT Approach for Stochastic Energy Management in Electric Bus Transit Center with PV and ESS","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Energy management; Center (category theory); Transit (satellite); Automotive engineering; Computer science; Energy (signal processing); Root (linguistics); Electrical engineering; Environmental science; Engineering; Transport engineering; Public transport; Physics","score_opus":0.0022348851210672576,"score_gpt":0.1537772597322544,"score_spread":0.15154237461118714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010140022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024210576,0.00039107198,0.9698294,0.00026128066,0.00004285856,0.000038002134,0.00006785288,0.00014100263,0.005017952],"genre_scores_gemma":[0.96071523,0.00036996588,0.032930892,0.00008736922,0.000046484973,0.00008342866,0.000079702455,0.000065881846,0.0056210845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956864,0.00014520477,0.000013375289,0.00012009369,0.000082959654,0.00006976729],"domain_scores_gemma":[0.9996835,0.00015416181,0.00006096017,0.000014448411,0.00006817754,0.000018716937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006567542,0.0011528807,0.00091482024,0.00032928263,0.0003408491,0.0009443797,0.0009127781,0.00092469517,0.0025755283],"category_scores_gemma":[0.0010553674,0.0004565034,0.00094542577,0.0004174998,0.0006583058,0.00087345426,0.0009073197,0.0012046719,0.00019044073],"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":[0.000025333582,0.000010878021,0.00015320317,0.000035927667,0.00001922488,0.000051750685,0.00001989311,0.9874614,0.00096130546,0.0074533857,0.00025116917,0.003556583],"study_design_scores_gemma":[0.000002505438,0.00001602142,0.000038968432,0.0000017138411,0.0000049530477,0.0000046748496,0.0000052916544,0.9985421,0.00010928593,0.0011190629,0.00015312764,0.0000023448388],"about_ca_topic_score_codex":0.0064733787,"about_ca_topic_score_gemma":0.0054321936,"teacher_disagreement_score":0.0064733787,"about_ca_system_score_codex":0.00086732535,"about_ca_system_score_gemma":0.0007830663,"threshold_uncertainty_score":0.012871444},"labels":[],"label_agreement":null},{"id":"W3010724753","doi":"10.1007/978-3-030-38382-4_5","title":"The Present and Future Market for PEVs in Canada: Evidence from a Mixed-Method Research Program","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in mobility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Purchasing; Mainstream; Marketing; Reflexivity; Construct (python library); Constraint (computer-aided design); Perception; Business; Qualitative property; Psychology; Political science; Computer science; Engineering; Sociology","score_opus":0.021954756583791323,"score_gpt":0.2874788718112493,"score_spread":0.265524115227458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010724753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98089176,0.0038437387,0.00033220497,0.00150734,0.000039266713,0.0001692154,0.0049231607,0.0000099168055,0.008283372],"genre_scores_gemma":[0.9861136,0.0029624933,0.00063767406,0.0005156237,0.000020105193,0.00012535308,0.0027151268,0.000011559191,0.006898574],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99592125,0.00053126103,0.00020326769,0.00043167864,0.002036887,0.0008756361],"domain_scores_gemma":[0.98220474,0.006394171,0.002933682,0.0004854259,0.0066494597,0.0013325631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004912778,0.00039462245,0.00066581875,0.0022495494,0.0044377325,0.0052953255,0.0038365743,0.0013471177,0.0054272236],"category_scores_gemma":[0.014418158,0.00058110466,0.000824457,0.006903646,0.002463668,0.0024596585,0.001703526,0.0021221684,0.00034071278],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086681853,0.00076021353,0.92791563,0.00058555667,0.00039380087,0.0002012284,0.018393774,0.0006108586,0.00023299598,0.007701817,0.007534513,0.03480267],"study_design_scores_gemma":[0.00008807594,0.00021100874,0.91767144,0.00053334015,0.00031039654,0.000061368046,0.06758355,0.0014695306,0.00036057638,0.0006151387,0.011012039,0.00008346635],"about_ca_topic_score_codex":0.9953471,"about_ca_topic_score_gemma":0.99743575,"teacher_disagreement_score":0.052564085,"about_ca_system_score_codex":0.052564085,"about_ca_system_score_gemma":0.09223864,"threshold_uncertainty_score":0.38138092},"labels":[],"label_agreement":null},{"id":"W3010976120","doi":"10.1109/ojvt.2020.2979820","title":"QoS-Aware Capacity Planning of Networked PEV Charging Infrastructure","year":2020,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality of service; Queueing theory; Computer science; Electric vehicle; Grid; Energy storage; Automotive engineering; Power (physics); Computer network; Engineering","score_opus":0.015495279053429442,"score_gpt":0.22861746850377837,"score_spread":0.21312218945034894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010976120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07536092,0.00076134107,0.91003245,0.00042874395,0.00009250554,0.00011719999,0.00026109497,0.0003987132,0.012546977],"genre_scores_gemma":[0.97709334,0.00026274155,0.020898238,0.00003741552,0.000021024101,0.000050880975,0.00008748271,0.000039893883,0.001509079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995523,0.00009933808,0.000016208192,0.00010053263,0.00009703248,0.00013461018],"domain_scores_gemma":[0.9992818,0.00033912045,0.00009368341,0.000042325562,0.00015713651,0.000085956024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006016808,0.00077589136,0.0005673779,0.00049778185,0.0005246476,0.0010358376,0.0013021152,0.0006135327,0.002276528],"category_scores_gemma":[0.0022185345,0.0004631401,0.00033508937,0.00064601767,0.00049498526,0.0011201735,0.00085033354,0.00078330474,0.00021575185],"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":[0.000018623743,0.000011351898,0.00027888088,0.000019907382,0.000004558485,0.000029201936,0.0000147613555,0.98802084,0.00097136793,0.0036002796,0.00037792147,0.0066523193],"study_design_scores_gemma":[0.0000016154609,0.000008802703,0.00009345801,0.0000024937895,0.0000025271204,0.000008225092,0.000013504512,0.99775153,0.000321221,0.0015502725,0.00024337685,0.0000029864607],"about_ca_topic_score_codex":0.012486695,"about_ca_topic_score_gemma":0.011540225,"teacher_disagreement_score":0.012486695,"about_ca_system_score_codex":0.0017336467,"about_ca_system_score_gemma":0.0016937235,"threshold_uncertainty_score":0.024828017},"labels":[],"label_agreement":null},{"id":"W3011090952","doi":"10.1109/comst.2020.2982118","title":"Energy and Information Management of Electric Vehicular Network: A Survey","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":76,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Software deployment; Electric vehicle; News aggregator; Commercialization; Energy management; Work (physics); Intelligent transportation system; Service (business)","score_opus":0.019647781796543737,"score_gpt":0.2256519442671131,"score_spread":0.20600416247056935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011090952","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009888641,0.86943984,0.072574124,0.0017586756,0.0011103321,0.00011202798,0.00048691581,0.00032375864,0.0443056],"genre_scores_gemma":[0.08765888,0.88312507,0.017146932,0.0005099744,0.0013852081,0.00008228427,0.0010365463,0.00006295382,0.008992136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995346,0.000090168054,0.00005991881,0.00009076699,0.00017421371,0.000050360697],"domain_scores_gemma":[0.9995048,0.00023118462,0.000045869012,0.000041069296,0.00015410059,0.000022951936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049868535,0.00072385283,0.0007171514,0.0019412829,0.00038336762,0.0016310542,0.0010616168,0.00072930835,0.0025094454],"category_scores_gemma":[0.00091745245,0.0003644662,0.00044272505,0.004436306,0.00028294872,0.00278969,0.0007276509,0.0006360627,0.0009776261],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006663528,0.00011182758,0.0026842894,0.0045997333,0.00007095231,0.00020278463,0.00017920187,0.015052812,0.002079233,0.03652744,0.02827546,0.91014963],"study_design_scores_gemma":[0.000009014332,0.0001844348,0.0028119197,0.0018893608,0.00012816845,0.0011215812,0.00059928605,0.03490869,0.0028588648,0.02489591,0.9305231,0.000069637135],"about_ca_topic_score_codex":0.0021673094,"about_ca_topic_score_gemma":0.0014550816,"teacher_disagreement_score":0.0025094454,"about_ca_system_score_codex":0.0006856148,"about_ca_system_score_gemma":0.00083734526,"threshold_uncertainty_score":0.008394957},"labels":[],"label_agreement":null},{"id":"W3011803225","doi":"10.23977/isspj.2020.51002","title":"A privacy protection scheme of smart home electricity information based on plug-in electric vehicle","year":2020,"lang":"en","type":"article","venue":"Information Systems and Signal Processing Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Upload; Smart meter; Computer security; Plug-in; Scheme (mathematics); Home automation; Control (management); Electric vehicle; Computer science; Engineering; Telecommunications; Electrical engineering; Power (physics); World Wide Web; Operating system","score_opus":0.008679885983799143,"score_gpt":0.18891774207127354,"score_spread":0.1802378560874744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011803225","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10128274,0.001439371,0.87894666,0.0016969368,0.00028262718,0.00033086262,0.00033485837,0.0012320832,0.014453953],"genre_scores_gemma":[0.96538305,0.00048371212,0.02939248,0.00021910941,0.00007911135,0.000094768526,0.00019160337,0.000018346365,0.004137919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976356,0.0006841967,0.00015099255,0.0004202113,0.00067684625,0.00043210882],"domain_scores_gemma":[0.99853444,0.0003069856,0.0001534235,0.0005873549,0.0003271883,0.000090539455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010795523,0.0005190569,0.00068991823,0.00068362744,0.0013326228,0.0012795719,0.0011575607,0.0012465086,0.001564607],"category_scores_gemma":[0.0024868005,0.000296401,0.0008144858,0.0010015687,0.001063487,0.0035824515,0.0021314735,0.0012464913,0.00042235464],"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":[0.0018511327,0.00034111878,0.0049504167,0.0007240013,0.0002750693,0.002553618,0.0018918925,0.06357045,0.113295324,0.4713547,0.022626698,0.3165657],"study_design_scores_gemma":[0.00031928104,0.0007398219,0.0030716425,0.00012278078,0.00032617312,0.005144924,0.0005665572,0.65958047,0.1237073,0.14890903,0.057234623,0.00027739696],"about_ca_topic_score_codex":0.0009717137,"about_ca_topic_score_gemma":0.0005129571,"teacher_disagreement_score":0.001564607,"about_ca_system_score_codex":0.0010052281,"about_ca_system_score_gemma":0.0012539236,"threshold_uncertainty_score":0.0072935224},"labels":[],"label_agreement":null},{"id":"W3012039178","doi":"10.23977/isspj.2020.51003","title":"Analysis of Electric Vehicle Charging Behavior under Differential Privacy Protection","year":2020,"lang":"en","type":"article","venue":"Information Systems and Signal Processing Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Electric vehicle; Computer science; Outlier; Reliability (semiconductor); Automotive engineering; Cluster (spacecraft); Power grid; Grid; Differential privacy; Service (business); Charging station; Process (computing); Privacy protection; Power (physics); Computer security; Reliability engineering; Data mining; Engineering; Computer network; Artificial intelligence; Business","score_opus":0.012271271985993431,"score_gpt":0.2091062990496692,"score_spread":0.19683502706367578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012039178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82938516,0.000102215636,0.16752206,0.00019953563,0.000020873844,0.000045459466,0.00017953935,0.0003812707,0.0021638514],"genre_scores_gemma":[0.99556196,0.000030609608,0.0039266017,0.000010258794,0.0000033226556,0.000007934134,0.000108423556,0.000007670332,0.00034325433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988404,0.00023257262,0.00006303657,0.00023142832,0.00043838084,0.00019418592],"domain_scores_gemma":[0.9979886,0.0007747206,0.0002671943,0.00036517344,0.00054180657,0.000062552535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010351336,0.00027071548,0.00037182882,0.0006929932,0.0004041951,0.00070241606,0.00053950044,0.00046023878,0.0005666502],"category_scores_gemma":[0.0058719735,0.00014231986,0.00031446284,0.0010838881,0.00049935677,0.0009861863,0.00048546624,0.00041951513,0.00017380976],"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":[0.0015129652,0.00035137427,0.15275927,0.00022822074,0.00023091029,0.0016443448,0.0010567646,0.5363486,0.05503814,0.020213738,0.0022301811,0.22838543],"study_design_scores_gemma":[0.000008741418,0.00009946479,0.017956162,0.0000049959954,0.000019063993,0.000351148,0.00027058073,0.9613395,0.015642526,0.0036551086,0.0006315657,0.000021289217],"about_ca_topic_score_codex":0.0028967892,"about_ca_topic_score_gemma":0.0013292157,"teacher_disagreement_score":0.0028967892,"about_ca_system_score_codex":0.0006861034,"about_ca_system_score_gemma":0.0005358012,"threshold_uncertainty_score":0.0057598352},"labels":[],"label_agreement":null},{"id":"W3012455495","doi":"10.1287/ijoc.2020.1035","title":"frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem","year":2021,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada; HEC Montréal","funders":"Agence Nationale de la Recherche","keywords":"Vehicle routing problem; Solver; Computer science; Python (programming language); Electric vehicle; Software; Routing (electronic design automation); Distributed computing; Mathematical optimization; Embedded system; Operating system; Programming language","score_opus":0.013751886402628628,"score_gpt":0.24080736290571525,"score_spread":0.22705547650308663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012455495","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011139013,0.00046310056,0.8879856,0.00100093,0.00046319098,0.00026947862,0.005515494,0.0585068,0.034656357],"genre_scores_gemma":[0.11542702,0.00070965406,0.82877266,0.0008067435,0.0001410388,0.001043922,0.009831692,0.022793023,0.020474166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951375,0.00009010892,0.000032636377,0.00008042469,0.00017905573,0.00010401169],"domain_scores_gemma":[0.9990183,0.00055282994,0.00007611749,0.0000938275,0.00019182748,0.00006708408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152952,0.0014698061,0.0009367119,0.00069637067,0.00081969734,0.0013792916,0.0028272,0.001928015,0.041070912],"category_scores_gemma":[0.00451012,0.0006921382,0.0016675901,0.0008554889,0.0007349209,0.0019134004,0.0023544533,0.0026832356,0.009033298],"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":[0.00020770202,0.00023837943,0.0031475092,0.0013419717,0.00016951651,0.00051999936,0.0002546224,0.5450652,0.0041585094,0.076719224,0.20441596,0.16376148],"study_design_scores_gemma":[0.00013853017,0.000028366687,0.0003460565,0.00007397977,0.000016313044,0.00013077902,0.00006127128,0.9145692,0.0021591634,0.025457507,0.056988258,0.000030597173],"about_ca_topic_score_codex":0.01169242,"about_ca_topic_score_gemma":0.017944641,"teacher_disagreement_score":0.041070912,"about_ca_system_score_codex":0.00092330994,"about_ca_system_score_gemma":0.0043033436,"threshold_uncertainty_score":0.13739586},"labels":[],"label_agreement":null},{"id":"W3015631154","doi":"10.3390/en13071771","title":"Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"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 Waterloo","funders":"","keywords":"News aggregator; Electric vehicle; Operations research; Profit (economics); Computer science; Scheduling (production processes); Economics; Microeconomics; Business; Operations management; Engineering","score_opus":0.004817438373616579,"score_gpt":0.19860723372939118,"score_spread":0.1937897953557746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015631154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046601195,0.0002694394,0.9390653,0.00046014084,0.000080005535,0.00015039612,0.00008832559,0.00017238052,0.013112857],"genre_scores_gemma":[0.74641865,0.00042811225,0.24812695,0.00012480502,0.000044100012,0.0002936924,0.000115922645,0.00007842896,0.0043692794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939656,0.0003469554,0.00001925846,0.000060869254,0.00008684463,0.00008946049],"domain_scores_gemma":[0.9991159,0.00062370306,0.00005536812,0.000019553909,0.00012690591,0.00005849266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017745221,0.0008208675,0.00071907236,0.0005179652,0.0005840033,0.0016658978,0.00076921046,0.0010674929,0.0028623857],"category_scores_gemma":[0.0020335317,0.00036653414,0.0008881476,0.0006893405,0.0004214409,0.0006414509,0.00094832893,0.0012303349,0.00021018449],"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":[0.000050188395,0.000079189995,0.0005119455,0.00008614836,0.000024494302,0.00012886306,0.00007744894,0.96119386,0.000599523,0.022797221,0.0008962113,0.013554952],"study_design_scores_gemma":[0.000004668644,0.00001549181,0.00005118999,0.000004697845,0.00000386825,0.000006941177,0.000024847213,0.9960437,0.00011486157,0.0034096309,0.00031745707,0.0000026877967],"about_ca_topic_score_codex":0.0073620025,"about_ca_topic_score_gemma":0.006624828,"teacher_disagreement_score":0.0073620025,"about_ca_system_score_codex":0.0010904154,"about_ca_system_score_gemma":0.0018194201,"threshold_uncertainty_score":0.014638305},"labels":[],"label_agreement":null},{"id":"W3016258751","doi":"10.3390/en13081884","title":"Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"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 de Sherbrooke","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia","keywords":"Microgrid; Renewable energy; Dispatchable generation; Demand response; Environmental economics; Energy storage; Vehicle-to-grid; Photovoltaic system; Energy management system; Sustainability; Energy management; Computer science; Distributed generation; Business; Electric vehicle; Electricity; Engineering; Economics; Energy (signal processing); Electrical engineering","score_opus":0.004303975382115653,"score_gpt":0.19235823670521304,"score_spread":0.18805426132309738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016258751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42790362,0.0015956819,0.54146117,0.001046334,0.00012466562,0.00022014101,0.0005428586,0.0003627954,0.026742723],"genre_scores_gemma":[0.9919412,0.00018005946,0.0051752953,0.000031136402,0.00000913415,0.00006070128,0.000063664476,0.000024623265,0.0025141384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996971,0.0001432016,0.000008261331,0.000038733724,0.000043322787,0.0000694122],"domain_scores_gemma":[0.9996232,0.00020887707,0.00006114992,0.000014816963,0.00006072834,0.00003118012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965045,0.0010763489,0.0010818945,0.0003968212,0.00039285605,0.001656041,0.0008621961,0.0011121379,0.0022224477],"category_scores_gemma":[0.0010998903,0.00058146706,0.00092876796,0.00049200247,0.00057113246,0.000988855,0.00086571614,0.0008166879,0.00018887073],"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":[0.000022961278,0.0000138666965,0.00016517323,0.000018903542,0.000008721703,0.000030077927,0.0000066131947,0.9969248,0.0002118382,0.0014167663,0.00012019405,0.0010600879],"study_design_scores_gemma":[0.0000040435675,0.00001536296,0.000074221345,0.0000022844238,0.0000042712454,0.0000042167317,0.000011767479,0.99911004,0.00008778602,0.00059029134,0.00009314682,0.0000025038382],"about_ca_topic_score_codex":0.013356349,"about_ca_topic_score_gemma":0.010768398,"teacher_disagreement_score":0.013356349,"about_ca_system_score_codex":0.0014785497,"about_ca_system_score_gemma":0.0015387352,"threshold_uncertainty_score":0.026557207},"labels":[],"label_agreement":null},{"id":"W3017375241","doi":"10.3390/en13082055","title":"An Algorithm for Optimization of Recharging Stops: A Case Study of Electric Vehicle Charging Stations on Canadian’s Ontario Highway 401","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater recharge; Automotive industry; Electric vehicle; State of charge; Engineering; Transport engineering; Algorithm; Automotive engineering; Computer science; Power (physics); Battery (electricity)","score_opus":0.012581659044961982,"score_gpt":0.21659239702536384,"score_spread":0.20401073798040187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017375241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48634946,0.00069325377,0.4692619,0.0006424084,0.000074381394,0.0007494205,0.0007435644,0.0008453315,0.040640246],"genre_scores_gemma":[0.8872177,0.00016497719,0.10592224,0.00005973899,0.000009233643,0.00021805817,0.0003422566,0.00006636985,0.005999397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000043443128,0.000009447527,0.00003782126,0.00003928714,0.00008735073],"domain_scores_gemma":[0.99940836,0.0003588369,0.000039980157,0.0000148833215,0.00014036061,0.00003758257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056267314,0.0010863474,0.0007782725,0.00066597416,0.00082895503,0.0010009997,0.0009890613,0.0014299238,0.003322164],"category_scores_gemma":[0.0014025191,0.00042459756,0.0006330868,0.00057227735,0.0005044886,0.00031239714,0.0005972781,0.00056178763,0.00019628032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003517559,0.000020485912,0.0007578226,0.000031627962,0.000010638465,0.00006882687,0.000044691733,0.9900254,0.00037725794,0.0007268034,0.00032331792,0.007577981],"study_design_scores_gemma":[0.000018416875,0.000042642878,0.00037337057,0.0000075764133,0.000010672805,0.000014600855,0.00006862252,0.9984101,0.00024188207,0.0002732883,0.00053457165,0.000004196005],"about_ca_topic_score_codex":0.20510787,"about_ca_topic_score_gemma":0.23570338,"teacher_disagreement_score":0.79489213,"about_ca_system_score_codex":0.0025603424,"about_ca_system_score_gemma":0.0038549935,"threshold_uncertainty_score":0.40782803},"labels":[],"label_agreement":null},{"id":"W3020301728","doi":"10.1109/epec47565.2019.9074812","title":"Impact of Spatial-Temporal Driver's Behaviours on PEV Charging Demand","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"","keywords":"Duration (music); Work (physics); TRIPS architecture; Computer science; Monte Carlo method; Markov chain Monte Carlo; Simulation; Markov chain; Automotive engineering; Electric vehicle; Markov process; Transport engineering; Power (physics); Engineering; Statistics; Mathematics; Machine learning","score_opus":0.004178865891087991,"score_gpt":0.21227623811353508,"score_spread":0.2080973722224471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020301728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480456,0.000060526276,0.0033799985,0.00008954584,0.000008846518,0.000009665953,0.000249277,0.000026019916,0.0013714508],"genre_scores_gemma":[0.99953675,0.000028480867,0.00013658658,0.000004082492,0.0000016678963,0.0000021510186,0.00009291611,0.000003034467,0.00019430167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993782,0.00019345956,0.00002918063,0.00009901616,0.00014524136,0.00015483955],"domain_scores_gemma":[0.9973694,0.001675607,0.00030920535,0.00015093571,0.00035149037,0.00014329432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008405561,0.00042007476,0.00026102999,0.00047625182,0.0002747597,0.0008553271,0.00066736346,0.0006153507,0.0015596858],"category_scores_gemma":[0.0044856626,0.00027766646,0.0004998625,0.0006416457,0.00028197546,0.0011129036,0.00065256463,0.00046411325,0.0002584592],"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":[0.00045940556,0.00024306387,0.27326804,0.00008299499,0.00019717882,0.00086688704,0.00030158763,0.7025528,0.003813118,0.0018635669,0.00041201743,0.015939362],"study_design_scores_gemma":[0.000009255748,0.00022716541,0.1137031,0.000012363892,0.0000893324,0.000303679,0.0009432646,0.88091403,0.0019597,0.0011245097,0.0006793073,0.000034290897],"about_ca_topic_score_codex":0.018886644,"about_ca_topic_score_gemma":0.018416796,"teacher_disagreement_score":0.018886644,"about_ca_system_score_codex":0.0007325275,"about_ca_system_score_gemma":0.0006277631,"threshold_uncertainty_score":0.03755343},"labels":[],"label_agreement":null},{"id":"W3020376538","doi":"10.1109/epec47565.2019.9074806","title":"Probabilistic Modeling of Plug-in Electric Vehicles Charging from Fast Charging Stations","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Weibull distribution; Range (aeronautics); Battery (electricity); Exponential function; Exponential distribution; State of charge; Electric vehicle; Probabilistic logic; Probability distribution; Driving range; Simulation; Computer science; Statistics; Environmental science; Mathematics; Engineering; Power (physics); Physics; Aerospace engineering","score_opus":0.0064851256803521475,"score_gpt":0.19245129622007384,"score_spread":0.1859661705397217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020376538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3344621,0.00041651627,0.6571929,0.00038483657,0.000045527533,0.00012590124,0.00094778324,0.00039036284,0.0060340767],"genre_scores_gemma":[0.9873301,0.00024358193,0.007848357,0.000017373972,0.000014093709,0.00007546269,0.00044879314,0.000033819015,0.0039883694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992052,0.00021900912,0.000038470098,0.00016361935,0.00020778322,0.00016597597],"domain_scores_gemma":[0.9985085,0.0009018788,0.0002213881,0.000083897634,0.00023348814,0.000050693132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012943587,0.0006925813,0.0007155904,0.0009549464,0.0004815235,0.0012980526,0.0019013055,0.0008827552,0.0023558089],"category_scores_gemma":[0.0038400772,0.00068666175,0.00089040276,0.0013312775,0.00065322977,0.001488296,0.00077943184,0.0007725588,0.00042325907],"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":[0.00003036557,0.000012825456,0.0020921703,0.000016026792,0.000013029217,0.00007900453,0.000044756955,0.98853403,0.00033195302,0.006349549,0.00015726019,0.0023390038],"study_design_scores_gemma":[0.0000021611947,0.000011076988,0.0005626861,0.0000024617677,0.0000044959907,0.00003103867,0.000020590123,0.9970823,0.00011363754,0.0020015016,0.00016242734,0.000005658338],"about_ca_topic_score_codex":0.013028447,"about_ca_topic_score_gemma":0.008204427,"teacher_disagreement_score":0.013028447,"about_ca_system_score_codex":0.0012059055,"about_ca_system_score_gemma":0.0008346253,"threshold_uncertainty_score":0.025905192},"labels":[],"label_agreement":null},{"id":"W3021057070","doi":"10.1109/itec-india48457.2019.itecindia2019-226","title":"Review of Electric Vehicle Charging Station Location Planning","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Transportation Electrification Conference (ITEC-India)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Charging station; Electric vehicle; Incentive; Government (linguistics); Range (aeronautics); Relevance (law); Public transport; Transport engineering; Business; Environmental economics; Computer science; Telecommunications; Engineering; Economics","score_opus":0.0103435362644057,"score_gpt":0.22987678752543414,"score_spread":0.21953325126102843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021057070","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012399151,0.9835618,0.0032497088,0.0010860814,0.0006476246,0.000025590196,0.00022840007,0.00003319984,0.009927735],"genre_scores_gemma":[0.0066044484,0.989256,0.001965822,0.0002125981,0.00042636337,0.000013920196,0.00022511203,0.0000063612165,0.0012893847],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995029,0.00010254276,0.00007928538,0.00009468897,0.00019269869,0.000027951672],"domain_scores_gemma":[0.998351,0.000853305,0.00013766774,0.00004001441,0.0005827404,0.000035302222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088456884,0.00077139837,0.000781228,0.0026431847,0.00034273067,0.0012571501,0.0013526736,0.00063444825,0.004781633],"category_scores_gemma":[0.002169123,0.00048091248,0.00056920544,0.0055989577,0.0003477124,0.0015037218,0.00038170087,0.0006208846,0.0013510134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005165986,0.00006907989,0.0007643108,0.025159113,0.0000944365,0.0002309505,0.00012672882,0.005655032,0.00068714865,0.011937563,0.042983066,0.912241],"study_design_scores_gemma":[0.000009563502,0.00015213051,0.0030699354,0.009583792,0.00019693271,0.00081075437,0.00028530508,0.0015449439,0.0008380251,0.0053905225,0.9780634,0.000054735232],"about_ca_topic_score_codex":0.0051355944,"about_ca_topic_score_gemma":0.005451738,"teacher_disagreement_score":0.0051355944,"about_ca_system_score_codex":0.00085678475,"about_ca_system_score_gemma":0.0025175607,"threshold_uncertainty_score":0.015996158},"labels":[],"label_agreement":null},{"id":"W3021303501","doi":"10.1109/itec-india48457.2019.itecindia2019-217","title":"An Optimal Charging Station Mapping Strategy for Electric Vehicles Incorporating User Constraints by Fleet Tracking","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Transportation Electrification Conference (ITEC-India)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Charging station; Electric vehicle; Computer science; Automotive engineering; Linear programming; Integer programming; Dynamic programming; Duration (music); Scarcity; Operations research; Power (physics); Engineering","score_opus":0.015093959340830462,"score_gpt":0.23670182816262453,"score_spread":0.22160786882179406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021303501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04076586,0.00022955716,0.95121735,0.00013209328,0.0000377264,0.000089188645,0.000057235324,0.00021973794,0.0072511765],"genre_scores_gemma":[0.9440662,0.00019472961,0.049758825,0.000043694796,0.000022789516,0.00009357773,0.00008966052,0.00004376277,0.0056868265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997249,0.00007186382,0.000012999862,0.000061083505,0.000054544453,0.00007452329],"domain_scores_gemma":[0.99975723,0.00009613341,0.00004009195,0.000016547901,0.000066721885,0.000023289036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054945325,0.00092736067,0.0009979787,0.0005176192,0.00049159676,0.0011755549,0.0012510468,0.0007823671,0.0034110262],"category_scores_gemma":[0.00097345887,0.0005613934,0.0006108077,0.00071435916,0.00034616847,0.00101923,0.0008149325,0.00060482894,0.00043364574],"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":[0.00006568589,0.00004524922,0.00030974,0.000058324098,0.000027211106,0.00011115846,0.00007167552,0.9604949,0.0025222662,0.0044067604,0.0008966462,0.0309904],"study_design_scores_gemma":[0.0000059762783,0.000031897554,0.000103745144,0.0000031310576,0.000008004179,0.000021802978,0.000018599185,0.99796826,0.00030222253,0.0011873563,0.00034378204,0.0000051522084],"about_ca_topic_score_codex":0.008872203,"about_ca_topic_score_gemma":0.008191152,"teacher_disagreement_score":0.008872203,"about_ca_system_score_codex":0.00084162486,"about_ca_system_score_gemma":0.0011487183,"threshold_uncertainty_score":0.017641127},"labels":[],"label_agreement":null},{"id":"W3021361278","doi":"10.1109/irsec48032.2019.9078263","title":"Energy Management of Micro Grid based Electrical Vehicle to the Building (V2B)","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Uninterruptible power supply; Diesel generator; Automotive engineering; Renewable energy; Energy management; Computer science; Backup; Energy storage; Electric vehicle; Voltage; Electrical engineering; Power (physics); Energy (signal processing); Diesel fuel; Engineering","score_opus":0.0026130833953458632,"score_gpt":0.17619960113179522,"score_spread":0.17358651773644937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021361278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35761827,0.0007869118,0.5939969,0.00035642696,0.00013610085,0.0002215217,0.00048118032,0.0025992412,0.043803547],"genre_scores_gemma":[0.9910323,0.000077765115,0.0055167694,0.000015086171,0.0000048507204,0.000027240469,0.00007337385,0.000015681497,0.0032368703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999411,0.000010429207,0.0000023057858,0.000016451771,0.000019117797,0.000010688845],"domain_scores_gemma":[0.9999678,0.0000064428887,0.000006131382,0.0000038285725,0.000011791282,0.000004016835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074133975,0.00025007562,0.0002287831,0.0001681258,0.0002700697,0.0005554566,0.00035956418,0.00016053709,0.0025535685],"category_scores_gemma":[0.00007497145,0.00010843797,0.00013811495,0.00018139492,0.000116071096,0.000336101,0.00028454262,0.0001381264,0.0003070444],"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":[0.000284044,0.00021957721,0.0050506373,0.00022195058,0.00006213936,0.00032076155,0.0001035221,0.7321445,0.04657468,0.009682724,0.0053502615,0.19998522],"study_design_scores_gemma":[0.000022011913,0.00017240374,0.0020994353,0.000011053844,0.000021515649,0.000095781856,0.000058560945,0.9781512,0.011267617,0.0026657328,0.005424283,0.000010361185],"about_ca_topic_score_codex":0.0026002948,"about_ca_topic_score_gemma":0.0053433906,"teacher_disagreement_score":0.0026002948,"about_ca_system_score_codex":0.00028108593,"about_ca_system_score_gemma":0.00030186627,"threshold_uncertainty_score":0.008542597},"labels":[],"label_agreement":null},{"id":"W3023365787","doi":"10.1109/tte.2020.2991079","title":"Ensemble Reinforcement Learning-Based Supervisory Control of Hybrid Electric Vehicle for Fuel Economy Improvement","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"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":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Ensemble learning; Process (computing); Fuel efficiency; Minification; Artificial intelligence; Action (physics); Electric vehicle; State (computer science); Control (management); Engineering; Algorithm; Power (physics); Automotive engineering","score_opus":0.009735334271715487,"score_gpt":0.18925896500068917,"score_spread":0.17952363072897368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023365787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10155958,0.00053150364,0.8920907,0.00017578446,0.000094893556,0.000035040674,0.000030009744,0.00045438836,0.005028095],"genre_scores_gemma":[0.9906722,0.00006971704,0.008480118,0.000023467906,0.000011989641,0.00002297332,0.000018527358,0.0000078957455,0.00069311686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976677,0.00005262133,0.000012259158,0.0000580616,0.000069532005,0.0000407951],"domain_scores_gemma":[0.9997074,0.000099737124,0.000057752328,0.000020267522,0.00009340966,0.000021289989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058041164,0.0005550317,0.0006282955,0.00022220777,0.00030574654,0.00044254484,0.0006067725,0.00034840938,0.0007920869],"category_scores_gemma":[0.00078338984,0.00021329471,0.0003404123,0.00016670222,0.00029441938,0.00043875168,0.0005408739,0.00054974295,0.000110697285],"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":[0.00006923012,0.00004001558,0.000722882,0.00003232908,0.00004344375,0.00005272932,0.000032604712,0.95570666,0.0034069633,0.0016559799,0.00042395387,0.03781322],"study_design_scores_gemma":[0.00000482626,0.000027739645,0.000109947054,0.0000014943074,0.0000050188037,0.0000050403646,0.0000022217603,0.9989623,0.0003635124,0.0003747246,0.00014120592,0.000001987577],"about_ca_topic_score_codex":0.0050171255,"about_ca_topic_score_gemma":0.0035191686,"teacher_disagreement_score":0.0050171255,"about_ca_system_score_codex":0.0003567638,"about_ca_system_score_gemma":0.00042974704,"threshold_uncertainty_score":0.009975851},"labels":[],"label_agreement":null},{"id":"W3023697791","doi":"10.1109/tvt.2020.2993509","title":"Demand-Aware Provisioning of Electric Vehicles Fast Charging Infrastructure","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Provisioning; Peak demand; Electric vehicle; Computer science; Automotive engineering; Driving range; Software deployment; Smart grid; Carbon footprint; Greenhouse gas; Voltage; Low voltage; Reliability engineering; Electrical engineering; Engineering; Simulation; Electricity; Computer network; Power (physics)","score_opus":0.00443961817147261,"score_gpt":0.18849328518691674,"score_spread":0.18405366701544412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023697791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24686158,0.00028000423,0.71857506,0.0007394548,0.00014552205,0.00019944449,0.0006303896,0.001656454,0.03091206],"genre_scores_gemma":[0.979482,0.00007939676,0.017899906,0.00003141468,0.000008893419,0.000029414425,0.00011074072,0.000040951454,0.0023173348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973184,0.00006808072,0.000009270627,0.000045573477,0.000064894404,0.000080195285],"domain_scores_gemma":[0.9996761,0.00011321202,0.000033766988,0.000039008042,0.00009162359,0.000046307472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471227,0.0005431626,0.00033025537,0.00027722443,0.00038342903,0.000746195,0.0009757362,0.0005468253,0.0027957642],"category_scores_gemma":[0.00094462134,0.00026737803,0.0002774513,0.00038444708,0.00024356402,0.0008890383,0.0006481885,0.00051571673,0.00031044532],"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":[0.000064935026,0.00003294295,0.0005264553,0.00003467967,0.000005372038,0.000059799564,0.000023404158,0.97827345,0.0027522414,0.0037043085,0.0012151967,0.013307212],"study_design_scores_gemma":[0.00000403548,0.000012135148,0.00009132679,0.000001341645,0.0000023760904,0.000010963484,0.000018740371,0.99767584,0.000725875,0.00077608856,0.00067860767,0.0000027082572],"about_ca_topic_score_codex":0.0068901926,"about_ca_topic_score_gemma":0.007947718,"teacher_disagreement_score":0.0068901926,"about_ca_system_score_codex":0.00093882415,"about_ca_system_score_gemma":0.0009393176,"threshold_uncertainty_score":0.013700128},"labels":[],"label_agreement":null},{"id":"W3026443319","doi":"10.1109/tte.2020.2996363","title":"Solar-Charged Electric Vehicles: A Comprehensive Analysis of Grid, Driver, and Environmental Benefits","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive engineering; Range (aeronautics); Grid; Solar power; Solar energy; Electric vehicle; Environmental science; Computer science; Simulation; Aerospace engineering; Engineering; Electrical engineering; Power (physics); Physics","score_opus":0.008535262407195682,"score_gpt":0.18496841110322335,"score_spread":0.17643314869602766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026443319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977086,0.0003101248,0.004020082,0.00020968831,0.000011875549,0.000040359486,0.00088377594,0.000044161497,0.01739392],"genre_scores_gemma":[0.996221,0.00020202246,0.0007033196,0.00002222371,0.0000040303985,0.000012612202,0.0003474742,0.000008781264,0.0024785933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993384,0.000016214086,0.0000015639571,0.000009808003,0.00002241681,0.000016233427],"domain_scores_gemma":[0.9999211,0.000027757189,0.000009134217,0.000006664623,0.000024844465,0.000010548229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015962674,0.0003496115,0.0002876727,0.00025427202,0.00017932302,0.00051420566,0.0003305363,0.00030587078,0.0016364875],"category_scores_gemma":[0.0002710352,0.00016281448,0.00041769506,0.00035793468,0.0001430633,0.0004895756,0.00022620993,0.00019999592,0.00014692724],"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":[0.00012134827,0.000120626544,0.020280292,0.000050875373,0.000110817455,0.00021388265,0.000037833444,0.9609863,0.0021105274,0.0032160284,0.0013433457,0.011408189],"study_design_scores_gemma":[0.000026709562,0.00025623592,0.034167618,0.00001883149,0.00009594352,0.0000720668,0.0002757102,0.95673907,0.0019980096,0.0018898329,0.004437742,0.000022227954],"about_ca_topic_score_codex":0.038171872,"about_ca_topic_score_gemma":0.06626322,"teacher_disagreement_score":0.038171872,"about_ca_system_score_codex":0.00094847166,"about_ca_system_score_gemma":0.0006393903,"threshold_uncertainty_score":0.07589942},"labels":[],"label_agreement":null},{"id":"W3028364905","doi":"10.1109/iccps48487.2020.00014","title":"Reputation-Based Fair Power Allocation to Plug-in Electric Vehicles in the Smart Grid","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Smart grid; Convergence (economics); Reputation; Scheduling (production processes); Grid; Distributed computing; Mathematical optimization; Computer network; Engineering","score_opus":0.006012424487632371,"score_gpt":0.19513947833662446,"score_spread":0.1891270538489921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028364905","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026722772,0.00017584728,0.97102857,0.00017465513,0.000052626303,0.000038848262,0.000015563426,0.00034782154,0.0014433861],"genre_scores_gemma":[0.92923445,0.00007902269,0.06905785,0.000040685973,0.000045913872,0.000042406733,0.000018272178,0.00003501942,0.0014463771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893504,0.00046385612,0.000032280765,0.0001943911,0.00022841305,0.0001460854],"domain_scores_gemma":[0.99808383,0.00094335125,0.00024953793,0.00022093924,0.00033460846,0.00016785039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022338969,0.00063081045,0.0011767027,0.00043353104,0.00062274374,0.0011574037,0.0015837573,0.00070290524,0.0014857705],"category_scores_gemma":[0.00666102,0.00033861335,0.00035126475,0.0005728271,0.0011052644,0.0014849006,0.0009783426,0.00087297417,0.0002227538],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011851022,0.000048707378,0.00036791037,0.000025077336,0.000019980109,0.000046086378,0.000049646354,0.9512881,0.0014115813,0.018915426,0.0008570778,0.026851835],"study_design_scores_gemma":[0.000009608897,0.000016520475,0.000045033437,0.0000011051028,0.0000028254983,0.000007764635,0.000004424544,0.9954833,0.00029166936,0.0039455486,0.00018876271,0.0000034850273],"about_ca_topic_score_codex":0.0042020585,"about_ca_topic_score_gemma":0.004464727,"teacher_disagreement_score":0.0042020585,"about_ca_system_score_codex":0.0015745058,"about_ca_system_score_gemma":0.0016896817,"threshold_uncertainty_score":0.011814117},"labels":[],"label_agreement":null},{"id":"W3031537493","doi":"10.1016/j.renene.2020.05.101","title":"Increasing self-consumption of renewable energy through the Building to Vehicle to Building approach applied to multiple users connected in a virtual micro-grid","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"News aggregator; Renewable energy; Electric vehicle; Zero-energy building; Grid; Virtual power plant; Energy consumption; Environmental economics; Photovoltaic system; Smart grid; Automotive engineering; Engineering; Distributed generation; Computer science; Power (physics); Electrical engineering","score_opus":0.009794548255832501,"score_gpt":0.19935034435731286,"score_spread":0.18955579610148035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031537493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84849536,0.00008825192,0.13128477,0.0001733008,0.000064200656,0.00006569068,0.00005445616,0.0007206846,0.019053262],"genre_scores_gemma":[0.99404055,0.0000138480755,0.005087783,0.000010926599,0.0000024170283,0.0000062867593,0.0000089861405,0.000012339542,0.0008168931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977773,0.000078401696,0.000007432263,0.00003972492,0.00005488505,0.00004180738],"domain_scores_gemma":[0.9994993,0.00019579529,0.000030958963,0.00009670438,0.00011589716,0.000061211125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030287434,0.00024409058,0.0002285132,0.00036342026,0.000346589,0.00081012904,0.00049977103,0.00028055717,0.0035608744],"category_scores_gemma":[0.00095949037,0.00010143919,0.00023982194,0.00043118862,0.00027226933,0.0006261727,0.00068480737,0.0002128155,0.00031157737],"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":[0.0012251863,0.0017750373,0.038638115,0.00028520141,0.00017896235,0.00081365806,0.0014810559,0.32912397,0.09072289,0.024001949,0.0037787084,0.50797534],"study_design_scores_gemma":[0.00003976041,0.00061397615,0.015216787,0.000020859696,0.00010127791,0.00031150304,0.0012847995,0.9492321,0.021994127,0.005694015,0.00545486,0.00003598558],"about_ca_topic_score_codex":0.0021729574,"about_ca_topic_score_gemma":0.0050205593,"teacher_disagreement_score":0.0035608744,"about_ca_system_score_codex":0.0002555353,"about_ca_system_score_gemma":0.00027900602,"threshold_uncertainty_score":0.011912286},"labels":[],"label_agreement":null},{"id":"W3031740568","doi":"10.3390/wevj11020043","title":"A Novel Algorithm for Controlling Active and Reactive Power Flows of Electric Vehicles in Buildings and Its Impact on the Distribution Network","year":2020,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure; Concordia University","funders":"","keywords":"AC power; Electricity; Voltage; Transformer; Computer science; Power (physics); Algorithm; Control (management); Electric power distribution; Automotive engineering; Engineering; Electrical engineering","score_opus":0.006030041005024201,"score_gpt":0.21497816250245613,"score_spread":0.20894812149743194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031740568","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005914632,0.00012394627,0.991074,0.00008858641,0.000051187457,0.000044049488,0.00001787251,0.00022927985,0.0024565659],"genre_scores_gemma":[0.4871819,0.00036572595,0.50565314,0.00016345546,0.000110711364,0.00033437807,0.00014338268,0.00010898674,0.0059383027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997801,0.00004159745,0.00001411069,0.0000619089,0.00007039283,0.000031849253],"domain_scores_gemma":[0.9998041,0.000075649885,0.000026728938,0.000011039208,0.00007053402,0.000012048205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004451242,0.0008652032,0.00065220613,0.00041452234,0.00041000496,0.0008468977,0.000807497,0.00078224146,0.0018413294],"category_scores_gemma":[0.0007823484,0.00024675365,0.00034413167,0.00042693657,0.00036524844,0.0006691346,0.00054934697,0.0006368315,0.00033155005],"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":[0.00007181322,0.000052832915,0.0004307085,0.00006759153,0.00002285433,0.00004943452,0.000049524217,0.8711989,0.004892571,0.0093983775,0.002059589,0.11170575],"study_design_scores_gemma":[0.0000141645205,0.000021555063,0.000043723474,0.0000035359503,0.000003892644,0.000015709109,0.0000042874003,0.99765956,0.00059145846,0.0007558292,0.00088273874,0.0000034215727],"about_ca_topic_score_codex":0.003915004,"about_ca_topic_score_gemma":0.0034037512,"teacher_disagreement_score":0.003915004,"about_ca_system_score_codex":0.0006383337,"about_ca_system_score_gemma":0.001060256,"threshold_uncertainty_score":0.007784426},"labels":[],"label_agreement":null},{"id":"W3034460627","doi":"10.1016/j.envpol.2020.114983","title":"Health and climate benefits of Electric Vehicle Deployment in the Greater Toronto and Hamilton Area","year":2020,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electrification; Software deployment; Electricity; Incentive; Transport engineering; Renewable energy; Business; Metropolitan area; Electric vehicle; Environmental science; Environmental economics; Engineering; Economics; Power (physics); Electrical engineering; Geography; Physics","score_opus":0.006481986203087229,"score_gpt":0.17520934955574996,"score_spread":0.16872736335266272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034460627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962664,0.0002177156,0.000022061338,0.00072744506,0.000009431933,0.0000099580975,0.00054663373,0.000002158508,0.0021982982],"genre_scores_gemma":[0.9989221,0.00012932165,0.000012148869,0.00005230865,0.0000072473267,0.0000019935146,0.00011216485,6.112597e-7,0.00076206215],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967444,0.000068479545,0.000009091584,0.00002965918,0.0000431193,0.00017522491],"domain_scores_gemma":[0.9993955,0.000049340022,0.00012602254,0.000016722337,0.0001629177,0.00024951177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015525288,0.00014575176,0.00011867747,0.00039613122,0.0007576773,0.00058618095,0.00038657017,0.0004409401,0.0020941333],"category_scores_gemma":[0.00072787213,0.00012988175,0.00028975116,0.0009745117,0.0006953454,0.00028669278,0.00069617195,0.00034461508,0.000085415464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005513167,0.00012343423,0.9850877,0.000041867934,0.00009625956,0.0005901054,0.001455606,0.0011347737,0.0009546671,0.0004695643,0.0015967202,0.007898065],"study_design_scores_gemma":[0.000006396556,0.000038477992,0.9976095,0.000006159844,0.000015642678,0.000023070806,0.0016305393,0.00012513182,0.000047537367,0.000029606977,0.00046462743,0.0000033206295],"about_ca_topic_score_codex":0.94817936,"about_ca_topic_score_gemma":0.98469526,"teacher_disagreement_score":0.051820636,"about_ca_system_score_codex":0.009393398,"about_ca_system_score_gemma":0.005258285,"threshold_uncertainty_score":0.10425156},"labels":[],"label_agreement":null},{"id":"W3035021481","doi":"10.3390/en13123083","title":"Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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":"Grid; Charging station; Electric vehicle; Parking lot; Automotive engineering; Vehicle-to-grid; Photovoltaic system; Electricity; Parking guidance and information; Engineering; Grid connection; Smart grid; Energy (signal processing); Transport engineering; Computer science; Electrical engineering; Civil engineering; Power (physics)","score_opus":0.01757915505890308,"score_gpt":0.22965657030793857,"score_spread":0.21207741524903548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035021481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979645,0.000005165743,0.0010008733,0.000026508615,0.000002650668,0.000049956474,0.000033236192,0.000016311871,0.00090091093],"genre_scores_gemma":[0.9987148,0.000010080399,0.0008436344,0.0000049476866,0.0000014745847,0.000017388522,0.000048267837,0.000002371247,0.00035711305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921834,0.00041322858,0.000026597692,0.0000924555,0.00010011716,0.00014927077],"domain_scores_gemma":[0.9982864,0.0009009107,0.000110747606,0.000098997545,0.00033278903,0.00027015054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011208213,0.00058640086,0.000498012,0.0005781309,0.0008732387,0.00087781035,0.0010498835,0.0014835699,0.0022625423],"category_scores_gemma":[0.0015883452,0.0003796443,0.0005993462,0.00047390512,0.0006378855,0.0012988262,0.000612528,0.0005752454,0.0002681403],"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":[0.0048012612,0.0083421795,0.120271035,0.00045703654,0.0002725146,0.01143843,0.0017715233,0.7876134,0.033476453,0.0052669016,0.0014009112,0.02488835],"study_design_scores_gemma":[0.0007455896,0.011284623,0.03595024,0.000027990092,0.00016889976,0.00075726595,0.007654244,0.92688125,0.014045006,0.0011455489,0.0012598786,0.000079549805],"about_ca_topic_score_codex":0.015355686,"about_ca_topic_score_gemma":0.015422547,"teacher_disagreement_score":0.015355686,"about_ca_system_score_codex":0.0011718911,"about_ca_system_score_gemma":0.0011018693,"threshold_uncertainty_score":0.030532598},"labels":[],"label_agreement":null},{"id":"W3036138595","doi":"10.1145/3396851.3397706","title":"Adaptive Control of Plug-in Electric Vehicle Charging with Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"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 Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Transformer; Plug-in; Q-learning; Online learning; Real-time computing; Artificial intelligence; Voltage; Engineering; Electrical engineering","score_opus":0.004721523614021451,"score_gpt":0.16543408479752889,"score_spread":0.16071256118350744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036138595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033755783,0.00020839211,0.9621048,0.00018359261,0.00007972371,0.000042932967,0.000014830926,0.00050631823,0.0031036169],"genre_scores_gemma":[0.9778725,0.000051775263,0.020598704,0.00006706642,0.000019740444,0.000044104287,0.000014627748,0.000020597057,0.0013108866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970514,0.0000816985,0.000015120746,0.00006115388,0.00008388722,0.000052894702],"domain_scores_gemma":[0.9992518,0.00038705525,0.00012392247,0.000041256255,0.00015263614,0.000043391457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078406907,0.0006990583,0.0007616099,0.00025474423,0.0002903377,0.0006135406,0.0011030717,0.0005506696,0.00094146666],"category_scores_gemma":[0.0022048047,0.0003345477,0.00030567546,0.00019529836,0.0007352319,0.0004608088,0.00074255175,0.00086012663,0.00015207204],"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":[0.00004772422,0.000038247304,0.00039270602,0.000031999825,0.000020207688,0.000041660518,0.000027232953,0.9757726,0.0016234904,0.002891675,0.00034943756,0.018763114],"study_design_scores_gemma":[0.000007451448,0.000015550453,0.00003132982,0.0000015087369,0.0000020741159,0.0000051336324,0.0000014641837,0.9991374,0.00019029727,0.0004783101,0.00012792925,0.0000015772405],"about_ca_topic_score_codex":0.0042826594,"about_ca_topic_score_gemma":0.003167257,"teacher_disagreement_score":0.0042826594,"about_ca_system_score_codex":0.0005490928,"about_ca_system_score_gemma":0.00072285876,"threshold_uncertainty_score":0.008515477},"labels":[],"label_agreement":null},{"id":"W3036425958","doi":"10.1155/2020/8813137","title":"Optimal Driving Range for Battery Electric Vehicles Based on Modeling Users’ Driving and Charging Behavior","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Driving range; TRIPS architecture; Range (aeronautics); Simulation; Battery (electricity); Battery capacity; Electric vehicle; Transport engineering; Computer science; Automotive engineering; Travel behavior; Engineering; Power (physics)","score_opus":0.008616701597340305,"score_gpt":0.21520714565463106,"score_spread":0.20659044405729077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036425958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27624294,0.00036051954,0.7147685,0.0003272559,0.000033187553,0.000099324665,0.0003190376,0.00017176353,0.0076774852],"genre_scores_gemma":[0.97912633,0.00025697754,0.018124666,0.000030902796,0.000015775431,0.000116243944,0.00023181849,0.000024268424,0.002073052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996196,0.0001378512,0.000016089447,0.000088971436,0.000056959747,0.00008054228],"domain_scores_gemma":[0.999373,0.0003428656,0.000104872095,0.00003418135,0.000095637144,0.00004944528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907079,0.0007551339,0.0007064568,0.0008464447,0.0004657568,0.00087133417,0.0011218458,0.0008084167,0.0018207516],"category_scores_gemma":[0.0021472445,0.00047567475,0.0012105389,0.0007814182,0.00050644664,0.0012204441,0.00069890445,0.0006213259,0.00020670885],"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":[0.000006318004,0.000008618673,0.0010481225,0.0000065505474,0.000008421093,0.000023098224,0.00001816564,0.99591124,0.0001095406,0.0018861808,0.00004920821,0.0009244803],"study_design_scores_gemma":[0.0000014875826,0.00000642386,0.00018392403,0.0000017623347,0.00000410342,0.000007507203,0.000011742619,0.998877,0.000034948298,0.0007984056,0.00006986683,0.0000028970321],"about_ca_topic_score_codex":0.027667321,"about_ca_topic_score_gemma":0.015985187,"teacher_disagreement_score":0.027667321,"about_ca_system_score_codex":0.0010555459,"about_ca_system_score_gemma":0.0014106077,"threshold_uncertainty_score":0.055012524},"labels":[],"label_agreement":null},{"id":"W3037690351","doi":"10.3390/vehicles2030021","title":"Environmental and Economic Benefits of a Battery Electric Vehicle Powertrain with a Zinc–Air Range Extender in the Transition to Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Battery pack; Automotive engineering; Electric vehicle; Battery (electricity); Driving range; Range (aeronautics); Environmental science; Engineering; Aerospace engineering","score_opus":0.004923997890336755,"score_gpt":0.16495745574547485,"score_spread":0.1600334578551381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037690351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926002,0.00012938859,0.0045813266,0.000041164203,0.000010617865,0.000016855533,0.00008845669,0.00005026425,0.0024816361],"genre_scores_gemma":[0.9984341,0.000060688795,0.0006674272,0.0000034145542,9.567877e-7,0.00000369208,0.00004561365,0.0000033057863,0.0007807994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987876,0.000008149435,0.000004511869,0.000020847318,0.00006706634,0.000020585781],"domain_scores_gemma":[0.9999193,0.000016143125,0.000008067556,0.0000074334503,0.00004284825,0.0000062474205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014393532,0.0002667272,0.00022170242,0.00022257207,0.00027418268,0.00047686277,0.0004936652,0.00020773488,0.0010391456],"category_scores_gemma":[0.00022243631,0.000121097306,0.0003035291,0.00032155088,0.00018292232,0.00044434186,0.00025601056,0.00025655376,0.00012085609],"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":[0.0023279127,0.00082098146,0.0636274,0.0004333377,0.00012727358,0.0013203166,0.00018201776,0.48893836,0.3018316,0.002328497,0.0014338599,0.13662843],"study_design_scores_gemma":[0.00015381472,0.0026486206,0.09596465,0.000037587233,0.0003009651,0.00037316876,0.0009729412,0.6853137,0.20418797,0.0009901808,0.008974265,0.00008205822],"about_ca_topic_score_codex":0.03369378,"about_ca_topic_score_gemma":0.04706562,"teacher_disagreement_score":0.03369378,"about_ca_system_score_codex":0.00094548037,"about_ca_system_score_gemma":0.0005143689,"threshold_uncertainty_score":0.06699532},"labels":[],"label_agreement":null},{"id":"W3038139171","doi":"10.1109/jsen.2020.3006706","title":"IoV-Based Deployment and Scheduling of Charging Infrastructure in Intelligent Transportation Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada; Zayed University","keywords":"Software deployment; Computer science; Scheduling (production processes); Integer programming; Wireless; Intelligent transportation system; Job shop scheduling; Charging station; Electric vehicle; Computer network; Routing (electronic design automation); Engineering; Transport engineering; Telecommunications","score_opus":0.009693504276326625,"score_gpt":0.2033941626472334,"score_spread":0.19370065837090678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038139171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052916795,0.0005638537,0.9361377,0.00029710834,0.00013351705,0.00013842923,0.00009603025,0.0005558539,0.009160702],"genre_scores_gemma":[0.9470229,0.00025689893,0.050932862,0.000057829806,0.000025054818,0.00006925369,0.000107636646,0.000057841222,0.0014696717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990859,0.000354734,0.000029676397,0.00013971858,0.00015098583,0.00023891899],"domain_scores_gemma":[0.99933714,0.00026331458,0.00010673769,0.000067626774,0.00013602458,0.000089073284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011205561,0.00065770786,0.000808196,0.0005390887,0.00070731266,0.0010664627,0.0012626396,0.00064838066,0.0012357986],"category_scores_gemma":[0.0020804142,0.00049471733,0.00044213713,0.00087922456,0.0006626134,0.0009935664,0.00090430636,0.0006228313,0.00026701984],"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":[0.00007348029,0.00003759594,0.0005792339,0.00005728504,0.000016294503,0.000036965408,0.000051681156,0.9607797,0.002094979,0.009475724,0.0010954265,0.025701597],"study_design_scores_gemma":[0.000005862829,0.0000374687,0.00016743182,0.000004644479,0.000005080286,0.000012587601,0.00003456898,0.99535465,0.0006803671,0.0027728349,0.00091943686,0.000005096401],"about_ca_topic_score_codex":0.0072243353,"about_ca_topic_score_gemma":0.007543042,"teacher_disagreement_score":0.0072243353,"about_ca_system_score_codex":0.001990992,"about_ca_system_score_gemma":0.0017802506,"threshold_uncertainty_score":0.014445722},"labels":[],"label_agreement":null},{"id":"W3040927866","doi":"10.22215/etd/2014-10566","title":"Impact Assessment of Electric Vehicle Charging on Power Distribution Systems","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transformer; Automotive engineering; Grid; Distribution transformer; Electric vehicle; Engineering; Distribution grid; Electric power system; Electrical engineering; Power grid; Voltage drop; Environmental science; Reliability engineering; Voltage; Power (physics); Physics","score_opus":0.0031743917174639168,"score_gpt":0.24216226396766116,"score_spread":0.23898787225019724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040927866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77356386,0.0025456883,0.09569746,0.0006444013,0.00015589205,0.00022069186,0.0004782734,0.00028091468,0.12641273],"genre_scores_gemma":[0.99115855,0.00089071685,0.0021091753,0.000014416888,0.000018116212,0.00001282771,0.00008252204,0.0000151934555,0.0056984704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995567,0.00014088668,0.0000110377505,0.000027972512,0.00020278359,0.00006050083],"domain_scores_gemma":[0.9994055,0.0003165541,0.000050741477,0.000038076963,0.00016160448,0.000027557895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048655234,0.00061838207,0.00040440494,0.0005266663,0.00026403286,0.0009835899,0.00032678485,0.00036361555,0.0033278232],"category_scores_gemma":[0.001658186,0.0001910369,0.00028943532,0.00056563166,0.00023391847,0.0008268964,0.00068835675,0.0004372223,0.00029623884],"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":[0.00012521325,0.0000796244,0.00516986,0.00015727655,0.000050426956,0.00023916441,0.00007679636,0.92012686,0.0033661504,0.0067879315,0.00093737885,0.06288325],"study_design_scores_gemma":[0.00001987099,0.0005089858,0.013048451,0.00009128649,0.00009063797,0.00018108494,0.00068113656,0.9530084,0.009833504,0.014266408,0.008239286,0.000030828665],"about_ca_topic_score_codex":0.0042028525,"about_ca_topic_score_gemma":0.0032074037,"teacher_disagreement_score":0.0042028525,"about_ca_system_score_codex":0.0010846985,"about_ca_system_score_gemma":0.00059608783,"threshold_uncertainty_score":0.0111326575},"labels":[],"label_agreement":null},{"id":"W3042001233","doi":"","title":"Modeling the Demand for Electric Vehicles in Canadian Corporate and Government Fleets","year":2020,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Government (linguistics); Electric vehicle; Power (physics)","score_opus":0.01570175503006453,"score_gpt":0.17450171693827132,"score_spread":0.1587999619082068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042001233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97243065,0.00045636942,0.0066722147,0.0013589106,0.000027252869,0.00016142134,0.004530527,0.00004955334,0.014313098],"genre_scores_gemma":[0.9859467,0.00051481224,0.003387841,0.00007683357,0.000012779036,0.00009611509,0.0027516368,0.000015781146,0.007197373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990909,0.00015136662,0.000026598384,0.00015970571,0.00017921947,0.00039220537],"domain_scores_gemma":[0.9979235,0.001102165,0.00020813826,0.000048406448,0.0005286874,0.00018904722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011867954,0.0008299597,0.0005513111,0.0015970782,0.0013373775,0.0029487496,0.0019709095,0.0013579342,0.006361656],"category_scores_gemma":[0.004287416,0.0006797068,0.0011459122,0.0028402884,0.0007873928,0.0010286224,0.0010465139,0.0014969826,0.00040620271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028077024,0.00040611613,0.20986463,0.00018648866,0.00013768223,0.000539021,0.0014538863,0.7274926,0.0013198003,0.034227155,0.006149913,0.01794192],"study_design_scores_gemma":[0.000025041338,0.000056312343,0.04065878,0.000043163654,0.000046533798,0.00003759261,0.002607589,0.94987464,0.00016186736,0.002276413,0.004160387,0.000051628314],"about_ca_topic_score_codex":0.945463,"about_ca_topic_score_gemma":0.9346201,"teacher_disagreement_score":0.054537,"about_ca_system_score_codex":0.022925125,"about_ca_system_score_gemma":0.013687495,"threshold_uncertainty_score":0.16633421},"labels":[],"label_agreement":null},{"id":"W3042801308","doi":"10.1002/est2.197","title":"<scp>Techno‐economic</scp> feasibility study on electric vehicle and renewable energy integration: A case study","year":2020,"lang":"en","type":"article","venue":"Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Renewable energy; Automotive engineering; Grid; Electric power system; Wind power; Electricity; Vehicle-to-grid; Energy storage; Engineering; Electric vehicle; Electrical engineering; Power (physics); Mathematics","score_opus":0.012071583861110294,"score_gpt":0.21162498586908382,"score_spread":0.19955340200797353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042801308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632626,0.000092224385,0.008462781,0.00030317376,0.000034674835,0.00025395362,0.0006331777,0.00005548426,0.026902016],"genre_scores_gemma":[0.9931946,0.000054063195,0.004676547,0.000016106744,0.000004199848,0.00010112758,0.0001410696,0.0000078081985,0.0018045348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.00041142202,0.000020651483,0.000048353013,0.00012478871,0.00014284588],"domain_scores_gemma":[0.9978732,0.001508099,0.00011418238,0.00011646941,0.00027919636,0.00010889397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017954799,0.000610955,0.00049960794,0.00112517,0.0007139974,0.0015609337,0.00094779645,0.0012040948,0.0069588544],"category_scores_gemma":[0.002664333,0.00036330093,0.00094516366,0.0012659547,0.00068182545,0.0009730879,0.00061878975,0.0008066522,0.00031591996],"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":[0.00022286944,0.0005562095,0.00525572,0.00008810139,0.000049984028,0.00097372703,0.00004467564,0.9759753,0.0012915723,0.008297437,0.00091344,0.0063310293],"study_design_scores_gemma":[0.00013065938,0.00064144534,0.00406402,0.00003808578,0.000048309546,0.00016724678,0.0004411031,0.9859351,0.0032861002,0.0029152103,0.0022994515,0.000033246077],"about_ca_topic_score_codex":0.012286131,"about_ca_topic_score_gemma":0.010917455,"teacher_disagreement_score":0.012286131,"about_ca_system_score_codex":0.0019106286,"about_ca_system_score_gemma":0.0012332745,"threshold_uncertainty_score":0.024429202},"labels":[],"label_agreement":null},{"id":"W3042924497","doi":"10.1061/jtepbs.0000437","title":"Methodology to Estimate the Need for Direct-Current Fast-Charging Stations along Highways in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Traffic count; Transport engineering; Traffic flow (computer networking); Count data; Computer science; Current (fluid); Operations research; Engineering; Statistics; Traffic congestion; Mathematics","score_opus":0.023821190111363136,"score_gpt":0.2548435415331432,"score_spread":0.23102235142178007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042924497","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7632485,0.00045041833,0.20474797,0.00045551176,0.000039294653,0.0010164481,0.010914317,0.0008128088,0.018314637],"genre_scores_gemma":[0.91021097,0.00032431592,0.081760794,0.000030439083,0.000005173714,0.00019213342,0.0029585327,0.000022299697,0.0044953097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995505,0.000045026543,0.000024220464,0.00010435592,0.00018723222,0.00008871407],"domain_scores_gemma":[0.9989937,0.00017650891,0.0000834177,0.000022903516,0.0006742669,0.00004928004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005970462,0.0006963806,0.00033858977,0.0022161335,0.00081461197,0.0010566864,0.0011488557,0.00041837894,0.0020321985],"category_scores_gemma":[0.0023758656,0.00031550127,0.00057972857,0.002110741,0.00025733057,0.00046445912,0.00044341857,0.0004483592,0.00019101304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008394123,0.00010031151,0.18061928,0.00014861843,0.00012288864,0.00025787423,0.00038233414,0.73487884,0.0023780693,0.0062151565,0.0027532917,0.072059445],"study_design_scores_gemma":[0.000014709733,0.00004559908,0.04631084,0.000023310375,0.00003667625,0.000037730646,0.00064625416,0.94799685,0.001251034,0.0009186577,0.002679694,0.000038695343],"about_ca_topic_score_codex":0.9612247,"about_ca_topic_score_gemma":0.9453789,"teacher_disagreement_score":0.038775325,"about_ca_system_score_codex":0.0150110945,"about_ca_system_score_gemma":0.019369353,"threshold_uncertainty_score":0.1089136},"labels":[],"label_agreement":null},{"id":"W3043398049","doi":"10.1109/tsc.2020.3009084","title":"Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive Versus Capacity Expansion","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Science Foundation of Sri Lanka","keywords":"Computer science; Cloud computing; Incentive; Profit maximization; Quality of service; Queueing theory; Capacity planning; Computer network; Operations research; Distributed computing; Profit (economics); Operating system; Engineering","score_opus":0.013216632625493755,"score_gpt":0.2120465808802586,"score_spread":0.19882994825476485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043398049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23255874,0.00051137496,0.7557471,0.0008843101,0.00014921877,0.00015118606,0.00008009899,0.00027173373,0.009646273],"genre_scores_gemma":[0.98435175,0.000107204934,0.013953182,0.000036710935,0.00002374555,0.000021817967,0.0000147832025,0.000017444356,0.0014734769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995468,0.00011659078,0.00001513604,0.00008042329,0.00009436102,0.00014658821],"domain_scores_gemma":[0.99959165,0.00015881272,0.00006309727,0.000033835597,0.00008397038,0.00006856929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699696,0.0003957847,0.0005543058,0.00025309555,0.0007225574,0.0010436042,0.0012132066,0.00054712116,0.0017619184],"category_scores_gemma":[0.0011952969,0.00024355194,0.00045570065,0.00045092963,0.00055858237,0.001130738,0.00081366545,0.00054533273,0.00015415701],"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":[0.000110406865,0.00007497067,0.0010229026,0.000027597374,0.000021036041,0.00011439262,0.000038270387,0.9633645,0.0026616864,0.014087539,0.00076805626,0.017708572],"study_design_scores_gemma":[0.0000052085275,0.000013863297,0.00010251154,0.0000012073157,0.0000041448257,0.0000102629265,0.000017008264,0.99811196,0.0003832906,0.0010863843,0.0002612225,0.0000029333196],"about_ca_topic_score_codex":0.01108853,"about_ca_topic_score_gemma":0.01001635,"teacher_disagreement_score":0.01108853,"about_ca_system_score_codex":0.001852034,"about_ca_system_score_gemma":0.0015530495,"threshold_uncertainty_score":0.022047937},"labels":[],"label_agreement":null},{"id":"W3043435009","doi":"10.3390/electronics9071150","title":"Machine Learning Based PEVs Load Extraction and Analysis","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"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 Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Artificial neural network; Load profile; Energy (signal processing); Plug-in; Machine learning; Simulation; Engineering; Electricity; Mathematics; Statistics","score_opus":0.004081755142517517,"score_gpt":0.19340094507188033,"score_spread":0.1893191899293628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043435009","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45509848,0.00035736588,0.52429396,0.00024132713,0.00011072574,0.00014918289,0.00193583,0.0048867976,0.012926369],"genre_scores_gemma":[0.9745976,0.0001076752,0.019911213,0.000021048381,0.000017100041,0.000040905627,0.0013280411,0.00006762076,0.0039088414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998535,0.000014998436,0.000008891408,0.000036730038,0.000064601256,0.000021228865],"domain_scores_gemma":[0.9998447,0.00003816453,0.000018288365,0.000017881932,0.00007478362,0.00000623294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013578519,0.0006748488,0.00041841777,0.0012893259,0.0002119757,0.0004920923,0.00047765233,0.00043307134,0.0022790963],"category_scores_gemma":[0.0006150157,0.00016705036,0.00049579085,0.0009429879,0.000115319584,0.0005429462,0.00027328904,0.00036846826,0.0011107456],"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":[0.00013432442,0.00008639807,0.010227029,0.000095938674,0.000047194553,0.00022098463,0.000044325203,0.7962462,0.008560007,0.0009933537,0.0023785383,0.18096568],"study_design_scores_gemma":[0.000001429798,0.000009693953,0.002461304,0.0000023892262,0.0000033154577,0.000015908901,0.00000940445,0.9954537,0.0013943712,0.0002671691,0.00037683512,0.0000045178936],"about_ca_topic_score_codex":0.012037016,"about_ca_topic_score_gemma":0.008993517,"teacher_disagreement_score":0.012037016,"about_ca_system_score_codex":0.0004865665,"about_ca_system_score_gemma":0.00031340425,"threshold_uncertainty_score":0.023933887},"labels":[],"label_agreement":null},{"id":"W3045085644","doi":"10.1155/2020/7096767","title":"Location Design of Electrification Road in Transportation Networks for On-Way Charging","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Science Foundation of Ministry of Education of China; Centro Euro-Mediterraneo sui Cambiamenti Climatici; Ministry of Education of the People's Republic of China","keywords":"Electrification; Range (aeronautics); Driving range; Transport engineering; Constraint (computer-aided design); Computer science; Electric vehicle; Mathematical optimization; Battery (electricity); Path (computing); Electricity; Automotive engineering; Simulation; Operations research; Engineering; Power (physics); Electrical engineering; Computer network; Mathematics","score_opus":0.009380614638391765,"score_gpt":0.21415307302572423,"score_spread":0.20477245838733246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045085644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038907163,0.00018070884,0.9464644,0.00014556189,0.00004118024,0.00009413027,0.000073450086,0.00015608517,0.013937349],"genre_scores_gemma":[0.8849666,0.00042457448,0.105667226,0.00006763753,0.000022510876,0.00023616261,0.00014097341,0.000052913754,0.008421428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996772,0.000121099074,0.000010261391,0.000068076675,0.00005933632,0.000064119566],"domain_scores_gemma":[0.9997621,0.00008440617,0.000038821378,0.000012777098,0.00008193794,0.000019797842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037638017,0.0007433333,0.0005454687,0.0004930085,0.00056335976,0.0009875115,0.0012441872,0.00084725244,0.00469635],"category_scores_gemma":[0.0010844009,0.00037656608,0.000589336,0.0005175028,0.00038627454,0.0010827339,0.0008332398,0.00051222567,0.0005705071],"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":[0.000047715337,0.00004680087,0.00062477024,0.00008162451,0.000011608823,0.0001348308,0.000055720542,0.9501944,0.0031894245,0.018364394,0.00095452834,0.026294269],"study_design_scores_gemma":[0.000007986643,0.000054083048,0.00010230237,0.000009287953,0.000011489551,0.000046374174,0.0000553449,0.99313873,0.0011686073,0.0040305457,0.0013680623,0.000007206047],"about_ca_topic_score_codex":0.004040815,"about_ca_topic_score_gemma":0.0046592946,"teacher_disagreement_score":0.00469635,"about_ca_system_score_codex":0.00088804605,"about_ca_system_score_gemma":0.0009780895,"threshold_uncertainty_score":0.01571083},"labels":[],"label_agreement":null},{"id":"W3045889046","doi":"10.3390/app10155125","title":"Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"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":"Grid; Distribution grid; Distributed generation; Computer science; Software; Reliability engineering; Automotive engineering; Engineering; Electrical engineering; Renewable energy","score_opus":0.01127158894786722,"score_gpt":0.22665873559236172,"score_spread":0.2153871466444945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045889046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86655897,0.00087989663,0.101624615,0.0002025245,0.00005194454,0.00018055434,0.00029916127,0.00025575655,0.02994656],"genre_scores_gemma":[0.992902,0.0001955368,0.005193991,0.000007427762,0.0000039811785,0.000017696397,0.000056341883,0.000015642803,0.0016073862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947804,0.00020040435,0.000015753945,0.000036524096,0.00022311439,0.000046111993],"domain_scores_gemma":[0.9987633,0.0007881969,0.00009693185,0.00007265949,0.00023877124,0.00004024307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080043555,0.0006433035,0.00029790506,0.00061961537,0.00018613701,0.00082682515,0.0003910161,0.00053049816,0.0023208074],"category_scores_gemma":[0.0022632042,0.0001602968,0.00027588132,0.00038536827,0.00026983343,0.00074226875,0.00040923513,0.0002662247,0.00024322982],"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":[0.00037025302,0.0001502609,0.010411912,0.0003038093,0.00006709683,0.0003111587,0.00009580338,0.9047951,0.016782647,0.0024317636,0.0006372733,0.063642845],"study_design_scores_gemma":[0.00003859704,0.0022441698,0.019247197,0.000093179704,0.00017376448,0.00027391635,0.0005717642,0.93607426,0.03207183,0.0032039296,0.00596457,0.00004278815],"about_ca_topic_score_codex":0.0020163734,"about_ca_topic_score_gemma":0.002238313,"teacher_disagreement_score":0.0023208074,"about_ca_system_score_codex":0.0007297776,"about_ca_system_score_gemma":0.0004220737,"threshold_uncertainty_score":0.0077638626},"labels":[],"label_agreement":null},{"id":"W3046048699","doi":"10.1109/iwcmc48107.2020.9148231","title":"Multimodal and Multi-pass Authentication Mechanisms for Electric Vehicle Charging Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"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 Ottawa","funders":"","keywords":"Authentication (law); Computer security; Certificate; Computer science; Authorization; Standardization; Electric vehicle","score_opus":0.008519976318931479,"score_gpt":0.19988473335029344,"score_spread":0.19136475703136197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046048699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08421032,0.002483877,0.88419497,0.00083722547,0.0004044384,0.0004654376,0.00014793333,0.0039340146,0.023321873],"genre_scores_gemma":[0.9520038,0.00070225634,0.033755645,0.00017119323,0.000121012265,0.00018367333,0.00012824066,0.000044623124,0.012889635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985434,0.00035558836,0.0001284441,0.00018356353,0.0005224,0.0002666258],"domain_scores_gemma":[0.99805874,0.00034629865,0.00030805965,0.00062897295,0.00056832825,0.00008953427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014137689,0.0005596653,0.0005346569,0.0009929739,0.0007948837,0.0013745603,0.00096478476,0.0012665126,0.0057860618],"category_scores_gemma":[0.0029499175,0.00022003897,0.0005284973,0.00048816766,0.0009640767,0.0027630317,0.0020163858,0.0009962517,0.0016816852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016641999,0.00031070536,0.0025904302,0.0007245118,0.00017937773,0.0021382659,0.0012252802,0.050661094,0.11887742,0.46130693,0.0140834525,0.34623837],"study_design_scores_gemma":[0.00018159582,0.0011855466,0.0034510212,0.00031361595,0.00028088634,0.003592898,0.00052270544,0.6195303,0.114737675,0.14893061,0.10695102,0.00032215114],"about_ca_topic_score_codex":0.0007553056,"about_ca_topic_score_gemma":0.0005402978,"teacher_disagreement_score":0.0057860618,"about_ca_system_score_codex":0.00089338137,"about_ca_system_score_gemma":0.0006567292,"threshold_uncertainty_score":0.01935631},"labels":[],"label_agreement":null},{"id":"W3046117817","doi":"10.1109/icc40277.2020.9148718","title":"Decentralized Game-Theoretic Approach for D-EVSE based on Renewable Energy in Smart Cities","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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 Ottawa","funders":"","keywords":"Renewable energy; Game theory; Computer science; Photovoltaic system; Decentralised system; Power (physics); Distributed computing; Energy supply; Stability (learning theory); Control (management); Energy (signal processing); Engineering; Electrical engineering; Mathematics","score_opus":0.008201247980156522,"score_gpt":0.1825657693228973,"score_spread":0.17436452134274077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046117817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036564123,0.00021414761,0.9520252,0.00042377177,0.000065208085,0.00008964898,0.00008088682,0.000101877245,0.010435049],"genre_scores_gemma":[0.9694222,0.000218963,0.026002267,0.00008575999,0.00003511168,0.00011748188,0.000039217677,0.000020752175,0.0040583177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928266,0.00026778196,0.000024313198,0.00017449298,0.00013620329,0.000114680886],"domain_scores_gemma":[0.9994941,0.00022928006,0.000097246004,0.000034472578,0.00008619833,0.000058840877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067437114,0.0007111459,0.00091563247,0.0003926204,0.00056889653,0.0011629708,0.0012343874,0.0010292027,0.0022832474],"category_scores_gemma":[0.0011469627,0.0003890104,0.0007420007,0.00048380293,0.0010215377,0.0014486181,0.0013320607,0.0010373035,0.00019553333],"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":[0.000031088635,0.000035112454,0.00034808574,0.000048002832,0.000029744868,0.00015741745,0.00006434482,0.9309313,0.0014634691,0.061786678,0.0005052998,0.0045993896],"study_design_scores_gemma":[0.0000084901985,0.000018473833,0.00006395682,0.0000025991565,0.0000061943238,0.00001663388,0.0000240221,0.9878855,0.000119398544,0.011377465,0.00047190042,0.0000052359496],"about_ca_topic_score_codex":0.0062417914,"about_ca_topic_score_gemma":0.005849697,"teacher_disagreement_score":0.0062417914,"about_ca_system_score_codex":0.0012448196,"about_ca_system_score_gemma":0.0013713823,"threshold_uncertainty_score":0.012410939},"labels":[],"label_agreement":null},{"id":"W3046191236","doi":"10.4018/ijsvst.2020070102","title":"An Innovative Modelling and Decision-Support Approach for Evaluating Urban Transshipment Problems Using Electrical Trucks","year":2020,"lang":"en","type":"article","venue":"International Journal of Smart Vehicles and Smart Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Transshipment (information security); Truck; Decision support system; Computer science; Process (computing); Metaheuristic; Operations research; City logistics; Transport engineering; Engineering; Artificial intelligence","score_opus":0.03176638815276273,"score_gpt":0.27064388598852207,"score_spread":0.23887749783575934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046191236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037515692,0.00015888763,0.956439,0.00029899564,0.000035985722,0.00017177359,0.0001297221,0.00014266017,0.0051072207],"genre_scores_gemma":[0.6728013,0.0003732781,0.32254955,0.000092958995,0.000044160588,0.00070959673,0.00020593467,0.000038006197,0.0031851681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994055,0.00030864278,0.00002931783,0.00006811609,0.00012108234,0.00006736311],"domain_scores_gemma":[0.99915946,0.00059863855,0.00006608461,0.000024966477,0.00010300367,0.000047821464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014074503,0.0012798931,0.0013062913,0.0012141377,0.00079748227,0.0017765751,0.0014842206,0.0019361675,0.0021606046],"category_scores_gemma":[0.0021279277,0.00068560435,0.0017525202,0.0010732603,0.00075206027,0.0010603747,0.0013528946,0.0013418486,0.00014482855],"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":[0.00001497625,0.00002910138,0.00016088753,0.000022025693,0.000012889002,0.000027326487,0.000015698777,0.99216324,0.00032903822,0.0031469758,0.000093844596,0.003984024],"study_design_scores_gemma":[0.000003990509,0.000018250978,0.000023337547,0.000002923135,0.0000047937333,0.0000049458554,0.00000852624,0.99882895,0.00009301863,0.00086124917,0.00014726199,0.000002789086],"about_ca_topic_score_codex":0.011580736,"about_ca_topic_score_gemma":0.009112135,"teacher_disagreement_score":0.011580736,"about_ca_system_score_codex":0.0013916907,"about_ca_system_score_gemma":0.002289088,"threshold_uncertainty_score":0.023026645},"labels":[],"label_agreement":null},{"id":"W3046543176","doi":"10.11159/icert20.107","title":"Multi-level changes to the Japanese electricity grid due to increasing entry of small-scale renewables and alternative fuel vehicles","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Renewable energy; Grid; Electricity; Scale (ratio); Electricity generation; Environmental economics; Automotive engineering; Environmental science; Computer science; Business; Economics; Engineering; Electrical engineering; Power (physics); Geography","score_opus":0.018972852953158672,"score_gpt":0.21627065498871645,"score_spread":0.19729780203555777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046543176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871903,0.00019854517,0.00091341836,0.0016301257,0.00013613833,0.000024608185,0.0006385314,0.00007028911,0.009198101],"genre_scores_gemma":[0.9961282,0.00012047806,0.00023474949,0.0003251428,0.000054938744,0.000008673047,0.00030331162,0.000010366981,0.0028141155],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997087,0.000029391937,0.000030947736,0.000059243084,0.00006471602,0.000106926665],"domain_scores_gemma":[0.9989735,0.00009504774,0.00034066904,0.00006158383,0.00030984532,0.00021932951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029692592,0.00021069434,0.00021567575,0.0005172816,0.0007146308,0.0017844101,0.00031526556,0.0011216353,0.0038575763],"category_scores_gemma":[0.00092902104,0.00019693024,0.00038134537,0.0009934822,0.00047222225,0.0008901512,0.0010689873,0.00096216117,0.00042323733],"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":[0.0014287683,0.0003955525,0.8210226,0.00035121827,0.0004474146,0.015650222,0.004810252,0.02751709,0.03539111,0.011386806,0.02895464,0.05264431],"study_design_scores_gemma":[0.000030782645,0.00011053344,0.96435666,0.000016301537,0.000099546574,0.0004659147,0.0039344877,0.011727059,0.0015256946,0.0012786442,0.016400611,0.000053761814],"about_ca_topic_score_codex":0.029005121,"about_ca_topic_score_gemma":0.059845153,"teacher_disagreement_score":0.029005121,"about_ca_system_score_codex":0.0017039299,"about_ca_system_score_gemma":0.0008987937,"threshold_uncertainty_score":0.05767256},"labels":[],"label_agreement":null},{"id":"W3046759369","doi":"10.1109/isie45063.2020.9152292","title":"Optimal Charging Scheduling of Electric Vehicles based on Principal Component Analysis and Convex Optimization","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Electricity; Scheduling (production processes); Charging station; Principal component analysis; Electric vehicle; Electricity price; Convex optimization; Mathematical optimization; Automotive engineering; Plug-in; Power demand; Power (physics); Real-time computing; Regular polygon; Power consumption; Engineering; Electrical engineering; Mathematics; Artificial intelligence","score_opus":0.007006684027392281,"score_gpt":0.19369525726150358,"score_spread":0.1866885732341113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046759369","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022978991,0.00017974986,0.97475886,0.00014132657,0.000032942826,0.00005061966,0.000039524002,0.00020863382,0.0016093937],"genre_scores_gemma":[0.8217026,0.00038452027,0.17494223,0.000056803136,0.000060955168,0.00016246621,0.00021458368,0.00011237275,0.0023635798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993654,0.00028909207,0.000025146965,0.00008729213,0.00013275839,0.000100396],"domain_scores_gemma":[0.99907076,0.00054963346,0.000096083335,0.00003079275,0.00020226791,0.00005044372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008645633,0.001178044,0.0011991645,0.0007711327,0.0004733945,0.0010080136,0.0007483396,0.0005676551,0.0011801021],"category_scores_gemma":[0.0023933472,0.0006021099,0.0006936362,0.000922547,0.00053078745,0.00071527506,0.00062164484,0.001008299,0.00023812926],"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":[0.000038633447,0.00002446619,0.00025644765,0.000022134665,0.000018865736,0.000018265533,0.000016928112,0.9805397,0.00046319768,0.0025442697,0.00048812345,0.015569089],"study_design_scores_gemma":[0.0000013148704,0.000006119835,0.00004834892,5.8818324e-7,0.0000012401379,0.0000013975567,0.00000267507,0.9993693,0.00007623688,0.00044463575,0.00004656353,0.0000015143783],"about_ca_topic_score_codex":0.012554635,"about_ca_topic_score_gemma":0.0080122175,"teacher_disagreement_score":0.012554635,"about_ca_system_score_codex":0.0008737655,"about_ca_system_score_gemma":0.0018135665,"threshold_uncertainty_score":0.02496314},"labels":[],"label_agreement":null},{"id":"W3047505517","doi":"10.1016/j.trd.2020.102489","title":"Two-stage DEA model to evaluate technical efficiency on deployment of battery electric vehicles in the EU countries","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Diagnostic Services Manitoba; Cancer Research Society; Universidade da Beira Interior","keywords":"Software deployment; Battery (electricity); Automotive engineering; Stage (stratigraphy); Electric vehicle; Engineering; Transport engineering; Business; Physics; Power (physics)","score_opus":0.035795861589330714,"score_gpt":0.28216784633539455,"score_spread":0.24637198474606384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047505517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8527536,0.0008593568,0.116643354,0.00079420005,0.00012715952,0.00018786902,0.0024440323,0.0002806409,0.025909774],"genre_scores_gemma":[0.98771733,0.00017030939,0.0054367436,0.000040212053,0.0000112052185,0.0001067372,0.0006439717,0.000026951897,0.005846684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943954,0.00025525765,0.000019004581,0.00009870177,0.000048168862,0.0001393424],"domain_scores_gemma":[0.99714667,0.002140116,0.00017580087,0.00009938502,0.0003498049,0.00008813846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018662359,0.0009984623,0.0014149185,0.0007512301,0.00048009492,0.0014845463,0.0014694633,0.0019494225,0.004206458],"category_scores_gemma":[0.0034246175,0.0006309833,0.0012725003,0.0008070532,0.000526311,0.0011464368,0.00070133014,0.0014582104,0.00031311662],"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":[0.00008787692,0.000034788147,0.0005906933,0.000019482975,0.000021942555,0.000036613306,0.000008712627,0.9960317,0.00014198023,0.0018438934,0.00021343211,0.0009688815],"study_design_scores_gemma":[0.000017750604,0.000037295627,0.00042664635,0.0000050058147,0.000018395238,0.000006072606,0.000024558149,0.99865615,0.00014374421,0.0004970155,0.00016195523,0.0000053664203],"about_ca_topic_score_codex":0.041472327,"about_ca_topic_score_gemma":0.017104963,"teacher_disagreement_score":0.041472327,"about_ca_system_score_codex":0.0017988888,"about_ca_system_score_gemma":0.0012396224,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3047679070","doi":"","title":"From science to technology : The value of knowledge from the business sector","year":2018,"lang":"en","type":"article","venue":"Leiden Repository (Leiden University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Value (mathematics); Knowledge transfer; Sociology of scientific knowledge; Industrial organization; Knowledge management; Marketing; Computer science; Sociology","score_opus":0.003961847229890225,"score_gpt":0.17066062947896432,"score_spread":0.16669878224907408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047679070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75540394,0.023628524,0.0075398306,0.027150188,0.00024172159,0.00009602576,0.0026313646,0.000046197612,0.18326227],"genre_scores_gemma":[0.9923062,0.004440475,0.00078354223,0.00045390998,0.00013347232,0.00002278991,0.0004011667,0.000011735706,0.0014468296],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99291646,0.0021065683,0.00052088016,0.00085171836,0.0027742283,0.0008300989],"domain_scores_gemma":[0.881994,0.090569735,0.013197429,0.004502813,0.0068610567,0.0028750333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062945676,0.00023194522,0.00047392817,0.010959707,0.0015005027,0.012671831,0.0009531811,0.0020227463,0.0060901917],"category_scores_gemma":[0.06444812,0.00019429391,0.00049969624,0.015032636,0.004760836,0.018018812,0.004744821,0.0014952972,0.0010455109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003581035,0.00027127628,0.37086317,0.002473663,0.00038619872,0.00194456,0.020492932,0.0031636704,0.0024552138,0.19271892,0.008457361,0.39641494],"study_design_scores_gemma":[0.00005065525,0.00033878925,0.43161294,0.0056184055,0.00046035278,0.0017738687,0.056776494,0.0053203837,0.0060984716,0.30984864,0.18191531,0.00018571806],"about_ca_topic_score_codex":0.0035518173,"about_ca_topic_score_gemma":0.0029679618,"teacher_disagreement_score":0.012671831,"about_ca_system_score_codex":0.0035412312,"about_ca_system_score_gemma":0.0032372416,"threshold_uncertainty_score":0.033289254},"labels":[],"label_agreement":null},{"id":"W3047798677","doi":"10.1109/cpe-powereng48600.2020.9161463","title":"Impact Analysis of Level 2 EV Chargers on Residential Power Distribution Grids","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Thales (Canada); Concordia University","funders":"","keywords":"Automotive engineering; Electric vehicle; Software deployment; Electrical engineering; Voltage; Computer science; Market penetration; Load shifting; Power (physics); Simulation; Electricity; Engineering; Physics","score_opus":0.011117515891176016,"score_gpt":0.23025236434624521,"score_spread":0.2191348484550692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047798677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98467964,0.00017616227,0.0069112973,0.00020419052,0.00002657898,0.00006406551,0.0005780001,0.00017324882,0.0071868314],"genre_scores_gemma":[0.998911,0.000041793413,0.0004794214,0.000015110638,0.0000021793178,0.0000068784843,0.0000995136,0.000007073337,0.00043696255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995647,0.00017720128,0.000013384039,0.000043559725,0.000097047465,0.00010419928],"domain_scores_gemma":[0.9986399,0.0008137491,0.00014194085,0.00007590356,0.00024801478,0.000080634025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328544,0.00062624906,0.00041081037,0.00041351214,0.00028505392,0.00070727593,0.0006011626,0.00053738215,0.0018060068],"category_scores_gemma":[0.0017715244,0.00018954798,0.00043443273,0.00041524568,0.0003527038,0.00061024673,0.00044704136,0.0005888829,0.00015870114],"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":[0.00023638911,0.000095649026,0.007932326,0.00007229227,0.000036668553,0.00038204447,0.000045644763,0.98340386,0.0019364718,0.0011437644,0.0008007434,0.003914124],"study_design_scores_gemma":[0.000022121689,0.0003158544,0.0062833456,0.000010855637,0.000042670934,0.00008278188,0.00014784286,0.9903577,0.0017330328,0.0005217556,0.0004674742,0.000014544052],"about_ca_topic_score_codex":0.0129323,"about_ca_topic_score_gemma":0.008752819,"teacher_disagreement_score":0.0129323,"about_ca_system_score_codex":0.0010005774,"about_ca_system_score_gemma":0.00039847568,"threshold_uncertainty_score":0.02571404},"labels":[],"label_agreement":null},{"id":"W3048798405","doi":"10.1155/2020/8890233","title":"Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education Key Projects of Philosophy and Social Sciences Research; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Profit maximization; Profit (economics); Charging station; Mathematical optimization; Computer science; Grid; Electric vehicle; Maximization; Genetic algorithm; Operations research; Power (physics); Economics; Microeconomics; Engineering; Mathematics","score_opus":0.006033208133653294,"score_gpt":0.21640721207351632,"score_spread":0.21037400393986302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048798405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21420117,0.00049945357,0.7674447,0.00054316915,0.00012328495,0.00014107928,0.000081773316,0.00022925016,0.01673611],"genre_scores_gemma":[0.9832629,0.00014139821,0.015062977,0.000036400954,0.000013329139,0.00003908084,0.000029295888,0.000015368309,0.0013992698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993137,0.0001860831,0.000028463543,0.00011102228,0.00018772042,0.00017296783],"domain_scores_gemma":[0.9995795,0.00013913964,0.000058950154,0.000024607007,0.00014149002,0.000056332392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065603165,0.00064984185,0.0007847325,0.0006389469,0.0005661675,0.0015572171,0.001102929,0.00065114035,0.0017881748],"category_scores_gemma":[0.0018809509,0.00036527857,0.00064802327,0.00072261255,0.00052098435,0.0016130382,0.00069514266,0.00051974534,0.00015082951],"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":[0.00010372854,0.000096169286,0.0023800482,0.00006664329,0.000057072546,0.000112223745,0.000099124794,0.9309118,0.0033273527,0.024558602,0.0012801237,0.037007134],"study_design_scores_gemma":[0.0000068085105,0.000022445372,0.0003142004,0.000002219036,0.000012199894,0.000018170836,0.000040313418,0.9953662,0.00036736377,0.0035768205,0.00026570447,0.0000075493535],"about_ca_topic_score_codex":0.007297978,"about_ca_topic_score_gemma":0.005341247,"teacher_disagreement_score":0.007297978,"about_ca_system_score_codex":0.0014134834,"about_ca_system_score_gemma":0.0016815708,"threshold_uncertainty_score":0.014511049},"labels":[],"label_agreement":null},{"id":"W3049345888","doi":"10.3390/en13164227","title":"Real-Time Control of Plug-in Electric Vehicles for Congestion Management of Radial LV Networks: A Comparison of Implementations","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Kungliga Tekniska Högskolan; Bundesministerium für Verkehr und Digitale Infrastruktur","keywords":"Plug-in; Implementation; Computer science; Overheating (electricity); Grid; Load profile; Heuristic; Automotive engineering; Fuel efficiency; Linear programming; Engineering; Reliability engineering; Electricity; Electrical engineering; Algorithm; Mathematics","score_opus":0.00863698616322569,"score_gpt":0.23954721166716286,"score_spread":0.23091022550393717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049345888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2827333,0.00063347595,0.69922715,0.0001513807,0.000062295665,0.00016343933,0.00003929107,0.00091859174,0.016071076],"genre_scores_gemma":[0.983214,0.00007472011,0.015845122,0.000011436559,0.000005216948,0.000025488363,0.000014385923,0.0000134899365,0.0007959609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997259,0.000113383736,0.000008846944,0.000034886652,0.000073576644,0.000043431384],"domain_scores_gemma":[0.9996388,0.00015974848,0.00006765977,0.00003248888,0.00007682175,0.000024433826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422008,0.00046500997,0.00032041981,0.00021014843,0.00016690801,0.00079529325,0.0007656578,0.00034370786,0.0014032071],"category_scores_gemma":[0.00091912755,0.00011211119,0.00019752806,0.00015616987,0.00035495032,0.00029801158,0.000253724,0.0003833168,0.00015389557],"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":[0.00013846988,0.00013112216,0.00041823974,0.00008122288,0.000014818668,0.000033335487,0.00004612149,0.9451495,0.00305342,0.0026287846,0.0002459052,0.048059136],"study_design_scores_gemma":[0.00002399356,0.00013911189,0.00016998843,0.0000060876177,0.000008328695,0.000010295792,0.000018878183,0.9969994,0.0019050705,0.00032814662,0.00038693743,0.0000038063674],"about_ca_topic_score_codex":0.0044346955,"about_ca_topic_score_gemma":0.0041305753,"teacher_disagreement_score":0.0044346955,"about_ca_system_score_codex":0.0005394647,"about_ca_system_score_gemma":0.0006596725,"threshold_uncertainty_score":0.008817792},"labels":[],"label_agreement":null},{"id":"W3049497632","doi":"10.3390/su12166582","title":"Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 Waterloo","funders":"","keywords":"Base load power plant; Electricity generation; Renewable energy; Environmental economics; Power station; Grid parity; Power (physics); Distributed generation; Automotive engineering; Electrical engineering; Engineering; Economics","score_opus":0.004101255573440573,"score_gpt":0.2038539964704167,"score_spread":0.19975274089697612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049497632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8360482,0.00027811638,0.14585064,0.0012882943,0.000043563545,0.00015068898,0.00021028933,0.00006452904,0.016065741],"genre_scores_gemma":[0.99521244,0.000098325,0.0025237456,0.000025805042,0.0000061586597,0.000032112348,0.00002496118,0.0000030151502,0.0020734726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986754,0.00052725733,0.00004445283,0.00027071367,0.000142245,0.00033987532],"domain_scores_gemma":[0.99781203,0.0013123052,0.00037074267,0.00008872437,0.00020725523,0.00020889369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017178776,0.0005414005,0.00066871574,0.0003951054,0.0007528214,0.0018876124,0.00078045076,0.001406207,0.005588756],"category_scores_gemma":[0.0047250963,0.00042013123,0.00068366656,0.00048382505,0.0010415686,0.002752751,0.0008763307,0.0012512989,0.00022290484],"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":[0.00029824322,0.00009808369,0.0034645703,0.00008574485,0.000040119023,0.00046329002,0.00016232068,0.94795483,0.0016292094,0.036675606,0.0005526002,0.008575408],"study_design_scores_gemma":[0.00006309919,0.00011016728,0.0010791799,0.00000918492,0.000031609543,0.00004207363,0.0002740977,0.9781845,0.00058760616,0.019232668,0.0003642154,0.000021562702],"about_ca_topic_score_codex":0.00855965,"about_ca_topic_score_gemma":0.006237478,"teacher_disagreement_score":0.00855965,"about_ca_system_score_codex":0.0022433118,"about_ca_system_score_gemma":0.0016190691,"threshold_uncertainty_score":0.018696308},"labels":[],"label_agreement":null},{"id":"W3049505200","doi":"10.1016/j.eneco.2020.104902","title":"Electric vehicle incentive policies in Canadian provinces","year":2020,"lang":"en","type":"article","venue":"Energy Economics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Incentive; Tonne; Business; Point (geometry); Incentive program; Agricultural economics; Economics; Geography; Microeconomics","score_opus":0.003670955023762624,"score_gpt":0.15391056938445088,"score_spread":0.15023961436068825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049505200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7118202,0.0050927843,0.0008549155,0.034604486,0.0003582524,0.00019382962,0.007920883,0.00012546667,0.23902926],"genre_scores_gemma":[0.9596038,0.0017821854,0.00047505568,0.0018619369,0.00003407303,0.000030425676,0.00090567494,0.000022572503,0.035284244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9938579,0.00038890273,0.00019580087,0.0002951507,0.0014261692,0.0038359188],"domain_scores_gemma":[0.9892811,0.0014541786,0.00063046906,0.0002384491,0.0059659113,0.002429896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024009426,0.00032158828,0.00076253543,0.0028995355,0.008693967,0.005439644,0.002292546,0.001717782,0.01203136],"category_scores_gemma":[0.01331306,0.0005986277,0.0010391487,0.0061480952,0.0014909089,0.0012319249,0.0017142122,0.0018723131,0.00034378294],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010807018,0.00051391876,0.30561584,0.00084469665,0.00034891954,0.0012792137,0.0057777413,0.031098383,0.0010278728,0.4634703,0.1141525,0.07478979],"study_design_scores_gemma":[0.00044718463,0.00015120307,0.6265626,0.0008873056,0.0003880292,0.00024183368,0.023432385,0.015435498,0.0014273967,0.016090492,0.31467432,0.00026171433],"about_ca_topic_score_codex":0.9986198,"about_ca_topic_score_gemma":0.9994487,"teacher_disagreement_score":0.20316768,"about_ca_system_score_codex":0.20316768,"about_ca_system_score_gemma":0.2955728,"threshold_uncertainty_score":0.9242126},"labels":[],"label_agreement":null},{"id":"W3066383670","doi":"10.1109/icbc48266.2020.9169419","title":"A Blockchain-Based Privacy-Preserving Intelligent Charging Station Selection for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Blockchain; Computer science; Computer security; Reservation; Privacy protection; Information privacy; Selection (genetic algorithm); Computer network","score_opus":0.013499429157342544,"score_gpt":0.2205747935273041,"score_spread":0.20707536436996157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3066383670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054831065,0.00031702235,0.9322336,0.0008049636,0.00009368143,0.00037302673,0.000252481,0.00066550786,0.010428658],"genre_scores_gemma":[0.933359,0.00021404361,0.06027378,0.000074058386,0.000028581937,0.00016456853,0.00019313913,0.000026417236,0.0056663854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989102,0.00030379056,0.000054437773,0.00023328197,0.00031237362,0.0001860239],"domain_scores_gemma":[0.99891603,0.00036122982,0.00012413487,0.00023491241,0.0002134191,0.000150363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011661947,0.00039667237,0.00076087867,0.00041868014,0.0013162268,0.0011878868,0.001721459,0.0010307776,0.0051796045],"category_scores_gemma":[0.002334131,0.0002998295,0.00042661437,0.0009777015,0.0010211329,0.0018425207,0.0022347823,0.000769124,0.0006828376],"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":[0.00053692964,0.00023846522,0.0023207408,0.00020244649,0.000055726916,0.00075955247,0.00046069073,0.75740427,0.01453581,0.0951667,0.0058919117,0.122426875],"study_design_scores_gemma":[0.000071413844,0.00007980858,0.00015310575,0.000012916112,0.000011246697,0.000110518726,0.000048214366,0.9732859,0.0022526272,0.020267695,0.003688285,0.000018254928],"about_ca_topic_score_codex":0.006625114,"about_ca_topic_score_gemma":0.00795316,"teacher_disagreement_score":0.006625114,"about_ca_system_score_codex":0.0010638179,"about_ca_system_score_gemma":0.0030164374,"threshold_uncertainty_score":0.017327547},"labels":[],"label_agreement":null},{"id":"W3067946886","doi":"10.1109/tvt.2020.3018114","title":"Joint Route Selection and Charging Discharging Scheduling of EVs in V2G Energy Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":83,"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 Waterloo; University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Renewable energy; Grid; Scheduling (production processes); Vehicle-to-grid; Electricity; Computer science; Charging station; Energy storage; Electric vehicle; Automotive engineering; Engineering; Electrical engineering; Power (physics); Operations management","score_opus":0.0063685408924830786,"score_gpt":0.1788826379683525,"score_spread":0.17251409707586943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3067946886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45371643,0.0007352522,0.5340468,0.00054822123,0.00012540055,0.00022741315,0.0002921902,0.00063620706,0.0096720625],"genre_scores_gemma":[0.9783846,0.00010280963,0.020048581,0.000025194657,0.000009059901,0.000041675466,0.000086800246,0.00001734676,0.0012839256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996123,0.00012436375,0.000016828444,0.000089723675,0.00005595446,0.00010088144],"domain_scores_gemma":[0.9996755,0.00012952153,0.000056948484,0.000019991809,0.00006255283,0.000055427197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055351283,0.0009090045,0.00071976887,0.0005092092,0.0006278361,0.0007728681,0.0009153355,0.0005274867,0.0010587142],"category_scores_gemma":[0.000871315,0.00035068358,0.00040774918,0.0008131841,0.00043706122,0.0006692781,0.00047510825,0.00034407966,0.00011363698],"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":[0.000070569826,0.000023787841,0.0005961674,0.000022468073,0.000012886036,0.000056364675,0.00002168843,0.98588485,0.00078639033,0.0010847448,0.00037427442,0.011065783],"study_design_scores_gemma":[0.000008231435,0.00002935886,0.00021928972,0.0000015972527,0.00000657648,0.000018329376,0.000030381421,0.9981857,0.00032604003,0.00095264334,0.0002183419,0.000003425487],"about_ca_topic_score_codex":0.017016843,"about_ca_topic_score_gemma":0.016192727,"teacher_disagreement_score":0.017016843,"about_ca_system_score_codex":0.0010767601,"about_ca_system_score_gemma":0.0015809233,"threshold_uncertainty_score":0.03383553},"labels":[],"label_agreement":null},{"id":"W3082202413","doi":"10.1155/2020/8814139","title":"Congestion Control for Mixed-Mode Traffic with Emission Cost","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Constraint (computer-aided design); Computer science; Battery (electricity); Control (management); Automotive engineering; Speed limit; Limit (mathematics); Mode (computer interface); Transport engineering; Engineering; Mathematics; Power (physics)","score_opus":0.004265048319366165,"score_gpt":0.21149342988274947,"score_spread":0.2072283815633833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082202413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1560788,0.000838974,0.8271561,0.0007233566,0.00024264536,0.000101388374,0.00021994684,0.00041399666,0.014224691],"genre_scores_gemma":[0.98937476,0.00012467317,0.0067246384,0.000037039892,0.00002630013,0.000040400373,0.000041196723,0.00002016574,0.003610777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994894,0.00015010609,0.000011874566,0.00010996322,0.00008010606,0.00015850613],"domain_scores_gemma":[0.99925727,0.0003302302,0.000101011174,0.000030902153,0.00017802764,0.000102462924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006670306,0.0013297956,0.00087470136,0.0006497521,0.00059161586,0.0013638183,0.0017776266,0.0010060963,0.0026953623],"category_scores_gemma":[0.0014091408,0.0005399542,0.0008165097,0.00046048584,0.0007780619,0.0013718486,0.0011139155,0.0012130465,0.00014863227],"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":[0.00007607128,0.000044675235,0.00034352,0.000043873104,0.000028973169,0.000056565397,0.000024076637,0.9814781,0.0008983451,0.01265962,0.0005177496,0.0038283796],"study_design_scores_gemma":[0.000004270512,0.0000098879045,0.000044613847,0.0000012333336,0.0000032327223,0.000002865189,0.0000035823198,0.9984518,0.000044236655,0.0013215325,0.00011014456,0.000002532471],"about_ca_topic_score_codex":0.019137135,"about_ca_topic_score_gemma":0.013873033,"teacher_disagreement_score":0.019137135,"about_ca_system_score_codex":0.0019914042,"about_ca_system_score_gemma":0.0012326267,"threshold_uncertainty_score":0.038051486},"labels":[],"label_agreement":null},{"id":"W3087514398","doi":"10.3390/su12187769","title":"Seasonality Effect Analysis and Recognition of Charging Behaviors of Electric Vehicles: A Data Science Approach","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"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":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Random forest; Mean absolute percentage error; Mean squared error; Poisson regression; Statistics; Benchmark (surveying); Electrical load; Principal component analysis; Linear regression; Lasso (programming language); Computer science; Econometrics; Mathematics; Machine learning; Engineering; Geography","score_opus":0.01156491746724451,"score_gpt":0.24592308615300165,"score_spread":0.23435816868575715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087514398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83239704,0.0010893709,0.1405692,0.0017648896,0.00022290547,0.00022936487,0.017237067,0.00090934546,0.0055807154],"genre_scores_gemma":[0.9455394,0.00039668995,0.038641497,0.0001056168,0.000090290254,0.00013420275,0.013978803,0.00002979005,0.0010838226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993519,0.00018312338,0.000075798474,0.00020880306,0.000121692625,0.000058726284],"domain_scores_gemma":[0.9980718,0.00093168207,0.00028709846,0.0003281185,0.0003323401,0.00004899166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011672237,0.00053674326,0.00039151724,0.0022912212,0.00030945803,0.000887435,0.00058257784,0.0007882445,0.0006820747],"category_scores_gemma":[0.003166825,0.00017938492,0.0008270339,0.0019782458,0.00034114785,0.0008863794,0.00047744843,0.0007552062,0.00034306248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044790507,0.0013465188,0.46445248,0.0005179933,0.0005201052,0.00056868244,0.00053954445,0.21405764,0.009512243,0.005506277,0.012840947,0.2896896],"study_design_scores_gemma":[0.000015742371,0.00020533206,0.19667879,0.000067257664,0.00008194571,0.00025133253,0.0010001466,0.78204125,0.005654311,0.0053928345,0.008560503,0.000050520062],"about_ca_topic_score_codex":0.009918234,"about_ca_topic_score_gemma":0.012853905,"teacher_disagreement_score":0.009918234,"about_ca_system_score_codex":0.0006592573,"about_ca_system_score_gemma":0.00050710794,"threshold_uncertainty_score":0.019721031},"labels":[],"label_agreement":null},{"id":"W3087814763","doi":"10.1109/tvt.2020.3026004","title":"Autonomous PEV Charging Scheduling Using Dyna-Q Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"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 Waterloo; Toronto Metropolitan University; Bell (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Markov decision process; Q-learning; Computer science; Scheduling (production processes); Markov process; Artificial intelligence; Artificial neural network; Bellman equation; Markov chain; State space; Mathematical optimization; Simulation; Machine learning; Mathematics","score_opus":0.009543680068389623,"score_gpt":0.20607072663567796,"score_spread":0.19652704656728834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087814763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052448798,0.00023385834,0.9425352,0.0002972613,0.00008476544,0.00007494047,0.00004581229,0.0007253834,0.0035538706],"genre_scores_gemma":[0.9711675,0.000056439323,0.026930794,0.00008200431,0.000016320819,0.00006475369,0.000039686023,0.000027340417,0.0016150835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971944,0.000068682835,0.000014469973,0.00006893561,0.000064533924,0.00006393689],"domain_scores_gemma":[0.9993888,0.0003142187,0.00009275594,0.000032332653,0.00010693711,0.00006477668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066181534,0.000681324,0.0009638682,0.00027460622,0.00039038516,0.00061256776,0.0012074106,0.0006648451,0.0016832654],"category_scores_gemma":[0.0014685743,0.00045480835,0.00036988908,0.00025977375,0.00053069514,0.0006318953,0.0007523689,0.0009318086,0.00019712413],"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":[0.000057157384,0.000057000394,0.0006141418,0.00003112184,0.000021327236,0.000057590074,0.00003141389,0.972638,0.0010981275,0.0023801094,0.0005880443,0.022425963],"study_design_scores_gemma":[0.0000068066042,0.0000124023045,0.000040183888,0.0000010144852,0.0000021325336,0.0000044928065,0.0000025063366,0.9992061,0.00010863555,0.00049714814,0.00011701982,0.0000014939326],"about_ca_topic_score_codex":0.009340143,"about_ca_topic_score_gemma":0.006920676,"teacher_disagreement_score":0.009340143,"about_ca_system_score_codex":0.0007073174,"about_ca_system_score_gemma":0.0015966501,"threshold_uncertainty_score":0.018571556},"labels":[],"label_agreement":null},{"id":"W3087863133","doi":"10.1007/978-3-030-50519-6_2","title":"Life Cycle Assessment of a Hydrogen and Fuel Cell RoPax Ferry Prototype","year":2020,"lang":"en","type":"book-chapter","venue":"Sustainable production, life cycle engineering and management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"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":"Deutsches Zentrum für Luft- und Raumfahrt; University of St Andrews; European Commission; Ballard Power Systems","keywords":"Environmental science; Diesel fuel; Propulsion; Greenhouse gas; Context (archaeology); Life-cycle assessment; Waste management; Engineering; Ecology; Geography; Aerospace engineering","score_opus":0.0034995137512849857,"score_gpt":0.17903972029110005,"score_spread":0.17554020653981506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087863133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425745,0.00016345666,0.0029156469,0.000038029662,0.00002375079,0.00014557035,0.00062488316,0.00009745032,0.001733803],"genre_scores_gemma":[0.99334323,0.00010147323,0.002535427,0.000009351973,0.000001894459,0.00008205986,0.00053571095,0.000021725542,0.003369153],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997614,0.000032561606,0.000012403032,0.00004747645,0.000116202056,0.000030006568],"domain_scores_gemma":[0.9997453,0.00004078096,0.000027108472,0.000029295094,0.00013003952,0.000027571945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006118897,0.000433542,0.00045820675,0.0005732887,0.00040013017,0.0005209186,0.00075271813,0.0005461044,0.0022645418],"category_scores_gemma":[0.0005342797,0.0001311518,0.0004126193,0.00027979186,0.0002510673,0.0005501704,0.00034443213,0.000349205,0.0005800649],"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":[0.0039299126,0.0015149248,0.022883547,0.0014803894,0.00019528459,0.0014002156,0.0005108741,0.13773128,0.72780025,0.0012875977,0.0033732806,0.09789247],"study_design_scores_gemma":[0.0002700506,0.019892402,0.053096592,0.000085953776,0.00020093672,0.0004910915,0.0006705537,0.118498124,0.782672,0.0006196444,0.023399692,0.00010298667],"about_ca_topic_score_codex":0.0030585525,"about_ca_topic_score_gemma":0.0033968643,"teacher_disagreement_score":0.0030585525,"about_ca_system_score_codex":0.0010023925,"about_ca_system_score_gemma":0.00030819347,"threshold_uncertainty_score":0.007575631},"labels":[],"label_agreement":null},{"id":"W3088931144","doi":"10.3390/en13184984","title":"A Novel Data-Energy Management Algorithm for Smart Transformers to Optimize the Total Load Demand in Smart Homes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Electricity; Demand response; Computer science; Smart grid; Revenue; Transformer; Energy management; Peak demand; Energy storage; Operations research; Voltage; Mathematical optimization; Power (physics); Electrical engineering; Energy (signal processing); Engineering; Business","score_opus":0.011470957994149973,"score_gpt":0.20458441286726237,"score_spread":0.1931134548731124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088931144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027908403,0.0001330137,0.96920097,0.0001427018,0.00003703149,0.000062093946,0.000042656975,0.00048301733,0.001990159],"genre_scores_gemma":[0.8018693,0.000090576956,0.19521162,0.00009681856,0.000036274254,0.00013197584,0.0001296531,0.000052663545,0.0023811767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999813,0.000027759352,0.000010843145,0.00006473222,0.00004475821,0.000038850987],"domain_scores_gemma":[0.9997992,0.00007317211,0.00003413119,0.00002028226,0.000054964643,0.000018334018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035130142,0.0005720679,0.0009180033,0.00040333753,0.00045514797,0.0006743017,0.0008568734,0.0006619264,0.0018166362],"category_scores_gemma":[0.000603466,0.00024996215,0.0003775877,0.0004700083,0.00031608803,0.00088517636,0.000529063,0.00052829506,0.00025008278],"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":[0.00020660956,0.000188922,0.0010405149,0.0000809645,0.000035603884,0.000080797276,0.00009700492,0.79310584,0.010061153,0.0075598964,0.003005105,0.18453768],"study_design_scores_gemma":[0.0000150381575,0.000025101592,0.00006654651,0.0000015720832,0.0000032696855,0.000011624156,0.000008559589,0.99762887,0.0008817604,0.0010210185,0.00033395397,0.0000027318774],"about_ca_topic_score_codex":0.0030252738,"about_ca_topic_score_gemma":0.004184459,"teacher_disagreement_score":0.0030252738,"about_ca_system_score_codex":0.0005824519,"about_ca_system_score_gemma":0.0009826041,"threshold_uncertainty_score":0.00607723},"labels":[],"label_agreement":null},{"id":"W3090234698","doi":"10.1109/tits.2021.3105232","title":"Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Energy Council of Canada","keywords":"Reinforcement learning; Vehicle routing problem; Computer science; Routing (electronic design automation); Artificial intelligence; Computer network","score_opus":0.008454826544357953,"score_gpt":0.20147863181856987,"score_spread":0.19302380527421192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090234698","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13204709,0.0014247448,0.8563361,0.0017059655,0.00014971114,0.000091133974,0.0001947981,0.00079823815,0.0072522135],"genre_scores_gemma":[0.95551014,0.0002931989,0.03913819,0.00026635587,0.000053110925,0.00011240891,0.00020820455,0.00006353818,0.004354792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968946,0.00009713134,0.000013607466,0.0000735706,0.000045114866,0.00008109013],"domain_scores_gemma":[0.9985518,0.0010526192,0.00011551222,0.000041374744,0.00013889572,0.00009979518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010062543,0.000995513,0.0010519009,0.00028749887,0.0003259323,0.00067295734,0.0011499757,0.0013649722,0.0034339435],"category_scores_gemma":[0.0036745404,0.00048817697,0.0004194957,0.00030521242,0.0008485965,0.001157945,0.00097476196,0.0026757864,0.0002983476],"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":[0.000044082062,0.000042278356,0.00042888097,0.000028378014,0.000009543912,0.00003459516,0.000014924841,0.98647434,0.00019211535,0.0039375047,0.0006188848,0.008174471],"study_design_scores_gemma":[0.0000037133661,0.0000064712367,0.000022594462,0.0000016168452,0.000001093694,0.0000015142169,0.0000015153986,0.99857986,0.00003481281,0.001300851,0.00004522607,7.2096884e-7],"about_ca_topic_score_codex":0.013785255,"about_ca_topic_score_gemma":0.01468992,"teacher_disagreement_score":0.013785255,"about_ca_system_score_codex":0.0013452831,"about_ca_system_score_gemma":0.0017268957,"threshold_uncertainty_score":0.02741003},"labels":[],"label_agreement":null},{"id":"W3090601923","doi":"10.1109/ccta41146.2020.9206381","title":"A Receding Horizon Battery Shortage Prevention Control Strategy for Electric Unmanned Vehicles","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); Acceleration; Model predictive control; Controller (irrigation); Control theory (sociology); Economic shortage; Computer science; Exploit; State of charge; Control (management); Control engineering; Engineering; Automotive engineering; Power (physics); Artificial intelligence","score_opus":0.014808791381639779,"score_gpt":0.23688195441563473,"score_spread":0.22207316303399494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090601923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036107764,0.00040640184,0.95718646,0.0001423065,0.00006858142,0.000046925015,0.000029868857,0.00035789685,0.005653758],"genre_scores_gemma":[0.9757119,0.00017336277,0.020954369,0.00006857955,0.000025037303,0.00006214398,0.000037851813,0.000014005878,0.0029527291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998222,0.000024210973,0.000009745988,0.00005856031,0.000051971492,0.000033325126],"domain_scores_gemma":[0.9998511,0.000032163596,0.000042794483,0.0000126036875,0.000048686197,0.000012657917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223025,0.0006123354,0.0004765693,0.00026041103,0.00029419517,0.0005574825,0.00085467903,0.0004558581,0.0010869836],"category_scores_gemma":[0.00042294996,0.00022985513,0.00029681556,0.0002658346,0.00032639407,0.0006049074,0.0005765878,0.0005346689,0.00018027383],"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":[0.00013392697,0.00007847472,0.0004634486,0.00024317419,0.000045494675,0.00028116655,0.00022475376,0.8732209,0.015493857,0.013256793,0.0015526226,0.09500539],"study_design_scores_gemma":[0.000019060182,0.00019599716,0.0002246015,0.000011533495,0.000012394964,0.000038632683,0.000027267555,0.9944417,0.0017081096,0.0018483525,0.0014645194,0.000007794597],"about_ca_topic_score_codex":0.004361442,"about_ca_topic_score_gemma":0.003120839,"teacher_disagreement_score":0.004361442,"about_ca_system_score_codex":0.0003434185,"about_ca_system_score_gemma":0.0005704905,"threshold_uncertainty_score":0.008672118},"labels":[],"label_agreement":null},{"id":"W3090667645","doi":"10.1109/tits.2020.3025832","title":"Dynamic Pricing for Differentiated PEV Charging Services Using Deep Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":67,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Dynamic pricing; Quality of service; Service (business); Interdependence; Service quality; Popularity; Operations research; Computer network; Engineering; Artificial intelligence; Business; Marketing","score_opus":0.014480417191206223,"score_gpt":0.224907192741706,"score_spread":0.2104267755504998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090667645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105194345,0.00054569275,0.88693076,0.0007515042,0.00012045736,0.00005924221,0.00007491046,0.00085058616,0.0054724473],"genre_scores_gemma":[0.9803432,0.000079824546,0.017861737,0.00014449273,0.000017819622,0.000032851913,0.00004425559,0.00002856688,0.0014472726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966407,0.0000793699,0.00001500681,0.00007218638,0.00007530768,0.00009399628],"domain_scores_gemma":[0.99921334,0.0003943046,0.00010475429,0.00004472697,0.0001582571,0.000084606305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008363394,0.00073338,0.0008471681,0.0003139581,0.00031646134,0.00078244344,0.0013018406,0.00092457316,0.0018772564],"category_scores_gemma":[0.0027958998,0.00039647578,0.00041424463,0.00029335046,0.0007835899,0.0009625252,0.0009648128,0.0016317804,0.00022212685],"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":[0.00006233786,0.00007647247,0.0010785339,0.00002555897,0.000021065056,0.000045163957,0.000024413484,0.96931255,0.00075510464,0.0041274168,0.00087797106,0.023593405],"study_design_scores_gemma":[0.000003363402,0.0000062708273,0.000029777422,0.0000010112545,0.0000014382314,0.0000022171275,0.0000012991231,0.9991579,0.00006278933,0.000687384,0.0000455494,0.0000010650117],"about_ca_topic_score_codex":0.010729817,"about_ca_topic_score_gemma":0.0093217455,"teacher_disagreement_score":0.010729817,"about_ca_system_score_codex":0.0013635156,"about_ca_system_score_gemma":0.0014816074,"threshold_uncertainty_score":0.021334708},"labels":[],"label_agreement":null},{"id":"W3090932064","doi":"10.1109/camad50429.2020.9209296","title":"Short-term Individual Electric Vehicle Charging Behavior Prediction Using Long Short-term Memory Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Term (time); Computer science; Range (aeronautics); Electric vehicle; Real-time computing; Long short term memory; Duration (music); Simulation; Artificial neural network; Artificial intelligence; Engineering; Power (physics); Recurrent neural network","score_opus":0.018779209910745918,"score_gpt":0.22562241885638576,"score_spread":0.20684320894563984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090932064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27016622,0.0035078656,0.71372867,0.00065949734,0.0004058216,0.00009206415,0.001269212,0.0018639045,0.008306737],"genre_scores_gemma":[0.9703837,0.00081790186,0.024040787,0.00015746508,0.000121185905,0.000055439363,0.000773055,0.000029086723,0.0036214394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997975,0.00002352075,0.000014290172,0.00006329615,0.000052699685,0.00004866521],"domain_scores_gemma":[0.99960655,0.00014794937,0.0000719894,0.000037488528,0.00011329822,0.000022688078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040058032,0.0008701522,0.0006028328,0.0008452478,0.0003162855,0.00063156,0.0010891893,0.0007051787,0.0012246886],"category_scores_gemma":[0.0011803303,0.00024817899,0.0004960532,0.0008711054,0.00019255567,0.0011279323,0.00048502238,0.0008702451,0.0005894975],"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":[0.00051942415,0.0003657646,0.029747026,0.00016568943,0.00025362344,0.0003966386,0.0000951576,0.57177746,0.0063917628,0.0028531386,0.00473177,0.3827025],"study_design_scores_gemma":[0.0000045294487,0.000034554167,0.0017767203,0.000009594376,0.00002670562,0.00005010968,0.00001568036,0.9949292,0.0013581156,0.001338965,0.00044689392,0.00000897957],"about_ca_topic_score_codex":0.008117641,"about_ca_topic_score_gemma":0.010907409,"teacher_disagreement_score":0.008117641,"about_ca_system_score_codex":0.0004935189,"about_ca_system_score_gemma":0.00044197298,"threshold_uncertainty_score":0.016140819},"labels":[],"label_agreement":null},{"id":"W3092722947","doi":"10.1016/j.ejor.2020.09.054","title":"Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks","year":2020,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Electrification; Software deployment; Time horizon; Computer science; Operations research; Vehicle routing problem; Routing (electronic design automation); Investment (military); Electric vehicle; Operational costs; Network planning and design; Business; Transport engineering; Electricity; Telecommunications; Engineering","score_opus":0.1289883712413711,"score_gpt":0.34931418263746133,"score_spread":0.22032581139609023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092722947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85575724,0.00024055937,0.10876884,0.00045712056,0.000031072366,0.00046153428,0.000581537,0.00036572156,0.033336453],"genre_scores_gemma":[0.97073966,0.00010348793,0.022676738,0.000017147026,0.0000052175915,0.000084126346,0.00026206992,0.000044875047,0.006066648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994276,0.00019682155,0.000017676477,0.00009401008,0.000085167056,0.0001786746],"domain_scores_gemma":[0.99861586,0.0008403912,0.00008205384,0.00010588927,0.0001780471,0.00017778664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086977304,0.0009500653,0.0005535017,0.0006743207,0.0014424531,0.002218978,0.0012727858,0.0017071245,0.005893308],"category_scores_gemma":[0.0017530326,0.0006502502,0.0008775335,0.0014760182,0.0007438429,0.0017476503,0.0009172304,0.0009698462,0.00040432013],"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":[0.00018237422,0.00024248954,0.0026681877,0.00003652946,0.000029190478,0.0008938767,0.00020186235,0.9722037,0.0011429098,0.004671274,0.00069868664,0.017028842],"study_design_scores_gemma":[0.000041340292,0.00022581316,0.001433818,0.000015000332,0.000038053717,0.0001756665,0.00084892643,0.98881626,0.0015665028,0.0046973354,0.0021199875,0.000021299773],"about_ca_topic_score_codex":0.03676143,"about_ca_topic_score_gemma":0.049172517,"teacher_disagreement_score":0.03676143,"about_ca_system_score_codex":0.0027240305,"about_ca_system_score_gemma":0.0022274028,"threshold_uncertainty_score":0.073094904},"labels":[],"label_agreement":null},{"id":"W3093207174","doi":"10.1002/spe.2914","title":"Evaluating system architectures for driving range estimation and charge planning for electric vehicles","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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":"Canadian Institute of Steel Construction","keywords":"Software deployment; Computer science; Range (aeronautics); Software; Latency (audio); Real-time computing; Cloud computing; Process (computing); Simulation; Embedded system; Engineering; Telecommunications","score_opus":0.024306582828284063,"score_gpt":0.3061994892382636,"score_spread":0.28189290640997955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093207174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91382307,0.000497911,0.078811064,0.00014613045,0.00006744272,0.00019422421,0.000121331504,0.0018466826,0.004492132],"genre_scores_gemma":[0.9917972,0.00004972166,0.007573013,0.0000098211785,0.0000030505855,0.000027249485,0.000044141492,0.000014418612,0.00048133513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958783,0.00012790873,0.00002130511,0.00007299719,0.0001132328,0.00007678414],"domain_scores_gemma":[0.9989213,0.0003883844,0.000119906545,0.00011571652,0.00038432682,0.00007049944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064292445,0.00074482884,0.0003204183,0.00056833995,0.00034166846,0.00059734646,0.0009119983,0.00037207542,0.0025925918],"category_scores_gemma":[0.0018451279,0.00020012297,0.00023163737,0.00038372338,0.00023621057,0.0007229411,0.00039547356,0.00030441413,0.00028164606],"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":[0.0008627264,0.00035062642,0.008699482,0.00027837558,0.000082088816,0.00016495647,0.00010785648,0.8725736,0.02193864,0.0014276215,0.0011472988,0.092366666],"study_design_scores_gemma":[0.000043681197,0.000715312,0.0030577737,0.000011328024,0.00005603371,0.00003556964,0.00008182464,0.9843711,0.010509609,0.00036195252,0.00074537966,0.00001049389],"about_ca_topic_score_codex":0.006642683,"about_ca_topic_score_gemma":0.0049547,"teacher_disagreement_score":0.006642683,"about_ca_system_score_codex":0.0012929314,"about_ca_system_score_gemma":0.00078511244,"threshold_uncertainty_score":0.013208032},"labels":[],"label_agreement":null},{"id":"W3093767475","doi":"10.1002/2050-7038.12681","title":"<scp>Dual‐layer</scp> power scheduling strategy for <scp>EV‐ESS‐controllable</scp> load in <scp>bi‐directional</scp> dynamic markets for <scp>low‐cost</scp> implementation","year":2020,"lang":"en","type":"article","venue":"International Transactions on Electrical Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheduling (production processes); Computer science; Engineering","score_opus":0.011613200825262267,"score_gpt":0.25263610363633504,"score_spread":0.24102290281107278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093767475","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19051345,0.00025608897,0.6785179,0.0013583549,0.0003105792,0.00023453833,0.0005109346,0.001229482,0.12706873],"genre_scores_gemma":[0.97354287,0.000046097815,0.0175226,0.00011011681,0.000021595455,0.000027465638,0.0000968869,0.000041424082,0.008590824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998462,0.000022566575,0.0000070473616,0.00003089973,0.000041405427,0.000051853178],"domain_scores_gemma":[0.99982184,0.000029875402,0.000020127278,0.000026006597,0.000068030706,0.00003414697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027281995,0.00043825485,0.00021801307,0.00017786941,0.00036702736,0.000953773,0.0006418408,0.00037511715,0.010382208],"category_scores_gemma":[0.00051553786,0.00013309548,0.00021187708,0.00022611853,0.00023715135,0.0008339611,0.00058257923,0.00046930456,0.0009747726],"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":[0.0010780996,0.0003848393,0.0019319037,0.0003703032,0.00009654401,0.0008935656,0.00020440786,0.4830764,0.07904829,0.1900263,0.034739204,0.20815007],"study_design_scores_gemma":[0.0000312418,0.000107819746,0.0006425499,0.000011728499,0.0000150620035,0.00010964474,0.000081594815,0.9611984,0.00855624,0.022365948,0.006862008,0.000017698294],"about_ca_topic_score_codex":0.0019059525,"about_ca_topic_score_gemma":0.0033030345,"teacher_disagreement_score":0.010382208,"about_ca_system_score_codex":0.0004189111,"about_ca_system_score_gemma":0.0008232959,"threshold_uncertainty_score":0.034731925},"labels":[],"label_agreement":null},{"id":"W3096178630","doi":"10.1109/icrera49962.2020.9242780","title":"Pre-Feasibility Analysis of Electric Vehicle Public Charging Infrastructure in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Charging station; Work (physics); Transport engineering; Electric vehicle; Computer science; Autonomy; Collocation (remote sensing); Telecommunications; Operations research; Environmental science; Engineering; Political science","score_opus":0.00819645595652812,"score_gpt":0.18499671321424654,"score_spread":0.17680025725771842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096178630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94421166,0.00018783027,0.0025648908,0.00028910371,0.000010302998,0.00023672727,0.0026527636,0.000074022086,0.049772635],"genre_scores_gemma":[0.9918418,0.00014559398,0.0012248515,0.000017669074,0.0000018842337,0.00003588966,0.0011527058,0.0000116367855,0.0055680294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841595,0.00012764368,0.00003290191,0.00009488215,0.00074973004,0.0005789803],"domain_scores_gemma":[0.9977234,0.00030836556,0.00011569907,0.00007123881,0.0016122365,0.00016909384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052786,0.00043960422,0.00030093006,0.001154219,0.0019743962,0.0019206253,0.0009433703,0.0004107812,0.0049079782],"category_scores_gemma":[0.0028320046,0.00033746572,0.0004069461,0.0023991708,0.0008575178,0.00087066396,0.0007203968,0.00038416698,0.0003463307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017622614,0.0006019294,0.46618554,0.0007112422,0.00021311399,0.0032484801,0.0038236103,0.36590996,0.01243412,0.038884107,0.014474852,0.09175076],"study_design_scores_gemma":[0.000119591496,0.0006623866,0.655095,0.00017957466,0.0001695087,0.00034546875,0.02185163,0.2780911,0.0059923055,0.002233819,0.03513004,0.00012954474],"about_ca_topic_score_codex":0.9849245,"about_ca_topic_score_gemma":0.99052435,"teacher_disagreement_score":0.04476047,"about_ca_system_score_codex":0.04476047,"about_ca_system_score_gemma":0.038028847,"threshold_uncertainty_score":0.32476145},"labels":[],"label_agreement":null},{"id":"W3097277994","doi":"10.1016/j.renene.2020.09.082","title":"Corrigendum to Optimal planning and design of a renewable energy based supply system for micro-grids [Int. J. Renew. Energy, Vol. 45, 2012, pp.7–15]","year":2020,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"INT; Renewable energy; Energy (signal processing); Energy supply; Computer science; Engineering; Operations research; Electrical engineering; Physics; Operating system","score_opus":0.011020866652513426,"score_gpt":0.19676854285363965,"score_spread":0.18574767620112623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097277994","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034082477,0.008872676,0.005270661,0.043544047,0.9162125,0.00007824606,0.0010807966,0.0005783901,0.024021883],"genre_scores_gemma":[0.012937437,0.036999777,0.011942772,0.04036119,0.21900512,0.00026592592,0.003691546,0.001520805,0.6732754],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975981,0.00033140782,0.0002677957,0.000324222,0.0012747546,0.00020374067],"domain_scores_gemma":[0.9895279,0.0015649056,0.0002983445,0.0005582677,0.007686038,0.0003646652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017265577,0.0023489995,0.0019526939,0.0027209476,0.001909974,0.0027549735,0.0029487873,0.004860378,0.07602712],"category_scores_gemma":[0.013567561,0.00078400044,0.001756039,0.0025095423,0.0014315377,0.0022126967,0.0015308742,0.0045485096,0.05163769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003732672,0.00001263329,0.000062951636,0.00017347062,0.0000105073395,0.00016582447,0.000013892525,0.0003341002,0.00012113782,0.0018571372,0.98292196,0.014289001],"study_design_scores_gemma":[0.000025828784,0.0000577003,0.00075409963,0.00030972838,0.00003986296,0.00029686125,0.000056306675,0.0017153254,0.0006655699,0.005976825,0.99005073,0.00005117051],"about_ca_topic_score_codex":0.02907382,"about_ca_topic_score_gemma":0.039079323,"teacher_disagreement_score":0.07602712,"about_ca_system_score_codex":0.0035595396,"about_ca_system_score_gemma":0.0027722663,"threshold_uncertainty_score":0.25433606},"labels":[],"label_agreement":null},{"id":"W3097350428","doi":"10.1109/isc251055.2020.9239052","title":"Discovering EV Recharging Patterns through an Automated Analytical Workflow","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 New Brunswick","funders":"","keywords":"Workflow; Computer science; Cluster analysis; Volume (thermodynamics); Hierarchical clustering; Quality (philosophy); Core (optical fiber); Data science; Artificial intelligence; Database; Telecommunications","score_opus":0.016752101606339644,"score_gpt":0.2499682284227373,"score_spread":0.23321612681639767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097350428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06620112,0.00021856892,0.9110068,0.0010654225,0.000054499844,0.00074097136,0.0052591087,0.011366877,0.004086648],"genre_scores_gemma":[0.20544267,0.00021825335,0.78514296,0.00009045284,0.000029054356,0.00032740625,0.0071544605,0.00022080669,0.0013739846],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968092,0.00049885013,0.00040715365,0.0010973117,0.00094667095,0.00024085917],"domain_scores_gemma":[0.9944547,0.002204133,0.00080596807,0.0009796642,0.0012769834,0.00027854068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002924377,0.0014927598,0.00092494814,0.0066871913,0.0016963514,0.0040048286,0.0019712453,0.0007622648,0.0014197938],"category_scores_gemma":[0.0089272875,0.0006062814,0.0016271949,0.005049377,0.00078283204,0.0020242513,0.0021124512,0.00090609037,0.0013394667],"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":[0.0006026729,0.0010643969,0.06477148,0.0009237869,0.00045165283,0.0031971643,0.005225645,0.18063435,0.04164019,0.030499453,0.02172852,0.6492607],"study_design_scores_gemma":[0.0000450376,0.00008713215,0.007954975,0.00009556107,0.00007376349,0.0004301645,0.0021304833,0.9217968,0.012923212,0.038143124,0.016226491,0.00009326287],"about_ca_topic_score_codex":0.019520065,"about_ca_topic_score_gemma":0.02852708,"teacher_disagreement_score":0.019520065,"about_ca_system_score_codex":0.0014456015,"about_ca_system_score_gemma":0.0058175493,"threshold_uncertainty_score":0.038812935},"labels":[],"label_agreement":null},{"id":"W3098252192","doi":"","title":"1Real-Time Welfare-Maximizing Regulation Allocation in Dynamic Aggregator-EVs System","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"News aggregator; Battery (electricity); Computer science; Greedy algorithm; Grid; Mathematical optimization; Real-time computing; Algorithm; Mathematics; Power (physics)","score_opus":0.0020616318361273878,"score_gpt":0.16676158967226673,"score_spread":0.16469995783613933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098252192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09834502,0.000484995,0.88926965,0.00062428066,0.00010092477,0.000099997655,0.00014234765,0.00049674924,0.010435997],"genre_scores_gemma":[0.97314835,0.00011412921,0.024702992,0.00006984141,0.000028200053,0.0000451263,0.000052085088,0.000023299983,0.0018158517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991474,0.00037973293,0.000025120988,0.00016274155,0.000090786016,0.00019425858],"domain_scores_gemma":[0.99886644,0.00062622374,0.00015705217,0.00008635057,0.0001826069,0.00008131776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013733441,0.000880514,0.00095666567,0.00043760295,0.00073899206,0.0012206418,0.0012645418,0.0008450119,0.002644066],"category_scores_gemma":[0.0022605774,0.00024676704,0.00036360446,0.0008853961,0.0009712365,0.00097327854,0.0010653477,0.0007610755,0.0003286535],"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":[0.00011563842,0.000035003315,0.000548168,0.000041077274,0.000023582419,0.00007745477,0.000032822292,0.97342324,0.0014067343,0.009612973,0.001471689,0.0132116005],"study_design_scores_gemma":[0.000008109123,0.000024101077,0.0000961541,0.0000022827876,0.0000042709544,0.000023599649,0.000013648064,0.9964616,0.00025160168,0.0028360551,0.00027503422,0.0000034909615],"about_ca_topic_score_codex":0.003828819,"about_ca_topic_score_gemma":0.0028163267,"teacher_disagreement_score":0.003828819,"about_ca_system_score_codex":0.0012844678,"about_ca_system_score_gemma":0.0010140844,"threshold_uncertainty_score":0.009319484},"labels":[],"label_agreement":null},{"id":"W3098735321","doi":"10.1155/2020/6527924","title":"The Electric Riverboat Charging Station Location Problem","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad EAFIT; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Charging station; Computer science; Grid; Battery (electricity); Nonlinear programming; Mathematical optimization; Linear programming; Integer programming; Set (abstract data type); Electric vehicle; Photovoltaic system; Function (biology); Nonlinear system; Electrical engineering; Engineering; Mathematics; Algorithm","score_opus":0.003929939313394148,"score_gpt":0.19137418479394078,"score_spread":0.18744424548054664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098735321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17699811,0.0013794842,0.7574715,0.0047168797,0.00047683925,0.00055846653,0.0044992813,0.00071909383,0.053180434],"genre_scores_gemma":[0.8365872,0.0010886419,0.13465588,0.000460715,0.00017094293,0.0004945299,0.0027038178,0.00018132044,0.023656858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898,0.0004173932,0.000044216133,0.00025854493,0.00011356471,0.00018622258],"domain_scores_gemma":[0.9993198,0.00038031075,0.000100785874,0.000040733565,0.00008812373,0.00007021542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008541148,0.0013020036,0.0010440084,0.0006195782,0.0007606348,0.0018517589,0.0015783859,0.002241222,0.009563942],"category_scores_gemma":[0.002166062,0.00055178924,0.001065706,0.0015201776,0.0007024663,0.0021946838,0.0012854866,0.0012885708,0.00078467006],"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":[0.0001339926,0.0000988055,0.0011513485,0.00019365334,0.000053019383,0.00043371305,0.000059047583,0.94208264,0.00075167365,0.027489144,0.0075562964,0.019996654],"study_design_scores_gemma":[0.00009177724,0.00009606503,0.00055234495,0.00003964017,0.000043092237,0.00029054921,0.00024343297,0.9621147,0.0010107593,0.023713896,0.011771941,0.0000316479],"about_ca_topic_score_codex":0.0066946046,"about_ca_topic_score_gemma":0.0048714606,"teacher_disagreement_score":0.009563942,"about_ca_system_score_codex":0.001353555,"about_ca_system_score_gemma":0.0017145012,"threshold_uncertainty_score":0.03199458},"labels":[],"label_agreement":null},{"id":"W3105321426","doi":"10.1109/iecon43393.2020.9255140","title":"Optimal Dynamic Pricing and Rewarding for Electric Vehicle Charging Scheme in High Penetration Photovoltaic Microgrid","year":2020,"lang":"en","type":"article","venue":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Microgrid; Photovoltaic system; Dynamic pricing; Electric vehicle; Computer science; Automotive engineering; Energy storage; Grid; State of charge; Mathematical optimization; Interval (graph theory); Scheduling (production processes); Voltage; Battery (electricity); Electrical engineering; Engineering; Mathematics; Business","score_opus":0.014579888465561639,"score_gpt":0.21063558923812992,"score_spread":0.1960557007725683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105321426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27509913,0.0007547271,0.71171176,0.0007407885,0.000117245545,0.00014267823,0.00009316969,0.00022942234,0.011111034],"genre_scores_gemma":[0.9872273,0.00007497239,0.01180502,0.00002164555,0.000008748979,0.00002220112,0.000014604212,0.000009026548,0.0008164813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966073,0.00016328887,0.0000107958795,0.000044967095,0.000046933732,0.00007326671],"domain_scores_gemma":[0.9995716,0.00022078778,0.000071140545,0.000019799,0.00006711356,0.000049510225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079798285,0.00051780447,0.000783044,0.0003098864,0.00038353138,0.0009098606,0.00073268905,0.00080585014,0.0015281367],"category_scores_gemma":[0.0019452892,0.0003963798,0.00037493336,0.00034422468,0.0004668723,0.00068335386,0.00055306405,0.00064697204,0.00011660758],"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":[0.00005327024,0.000032646654,0.0003608715,0.000022395325,0.00000996573,0.0000497439,0.000018214565,0.9892163,0.000462866,0.0030659894,0.00030605655,0.0064017545],"study_design_scores_gemma":[0.000005467876,0.000018127463,0.000065940105,0.0000014710232,0.0000031266995,0.000005978749,0.0000083881505,0.9991304,0.00007516685,0.000618244,0.00006574602,0.000001972803],"about_ca_topic_score_codex":0.0049615717,"about_ca_topic_score_gemma":0.0047279564,"teacher_disagreement_score":0.0049615717,"about_ca_system_score_codex":0.0009971709,"about_ca_system_score_gemma":0.000988839,"threshold_uncertainty_score":0.009865403},"labels":[],"label_agreement":null},{"id":"W3106421991","doi":"10.1109/access.2020.3038050","title":"Two-Level MPC Speed Profile Optimization of Autonomous Electric Vehicles Considering Detailed Internal and External Losses","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; MATLAB; Energy (signal processing); Control theory (sociology); Electric vehicle; Automotive engineering; Model predictive control; Battery (electricity); Driving cycle; Wind speed; Electronic speed control; Vehicle dynamics; Energy management; Simulation; Control (management); Engineering; Power (physics); Mathematics","score_opus":0.02196827226976198,"score_gpt":0.24664618198032515,"score_spread":0.22467790971056317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106421991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09102287,0.00012944354,0.9008351,0.00014124386,0.000031092262,0.000047714486,0.000047914484,0.0003888785,0.007355763],"genre_scores_gemma":[0.9750812,0.0000474055,0.022941623,0.000020440562,0.000008498787,0.0000417633,0.00005547902,0.00003100532,0.0017725583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978477,0.000041704734,0.0000064517617,0.000034903416,0.00008749465,0.00004472396],"domain_scores_gemma":[0.999757,0.00009409328,0.00003874181,0.000020828007,0.00006996561,0.00001939293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037687062,0.00064792536,0.00065404736,0.00025230576,0.0002967813,0.0008731343,0.0006036032,0.00048312274,0.00081328565],"category_scores_gemma":[0.0007782043,0.0003859986,0.00039252927,0.00029114846,0.00040953467,0.00038210698,0.00054822024,0.0008281912,0.00015572393],"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":[0.000018203147,0.000010426724,0.00015114811,0.000011694383,0.0000056352224,0.0000145064205,0.000011429966,0.9929957,0.00070297683,0.0008136934,0.000108407694,0.005156218],"study_design_scores_gemma":[0.0000019423762,0.0000086352,0.000044005996,5.7340475e-7,7.860666e-7,0.0000014245275,0.0000017240171,0.99950576,0.00019686359,0.00016813121,0.00006937596,7.614344e-7],"about_ca_topic_score_codex":0.010839089,"about_ca_topic_score_gemma":0.005351151,"teacher_disagreement_score":0.010839089,"about_ca_system_score_codex":0.00062726036,"about_ca_system_score_gemma":0.001057753,"threshold_uncertainty_score":0.021551967},"labels":[],"label_agreement":null},{"id":"W3106979871","doi":"10.1155/2020/8850654","title":"Analysis of Electric Vehicle Charging Behavior Patterns with Function Principal Component Analysis Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Ministerio de Economía y Competitividad; U.S. Department of Energy","keywords":"Occupancy; Flexibility (engineering); Principal component analysis; Electric vehicle; Charging station; Energy consumption; Function (biology); Computer science; Grid; Process (computing); Simulation; Transport engineering; Engineering; Power (physics); Statistics; Electrical engineering; Civil engineering; Geography; Artificial intelligence; Mathematics","score_opus":0.006567260548701806,"score_gpt":0.19975137625660236,"score_spread":0.19318411570790056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106979871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5559398,0.00019954614,0.438887,0.00019890243,0.00005384633,0.0002051253,0.0013673025,0.0007762939,0.0023722704],"genre_scores_gemma":[0.9213757,0.00014690381,0.075769566,0.000013916608,0.000022683264,0.00016700622,0.0013752928,0.00003269634,0.0010961214],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99946266,0.00017147082,0.000040678202,0.000140145,0.00012311255,0.00006200709],"domain_scores_gemma":[0.9993767,0.00028417286,0.000070963855,0.000070226124,0.00018054793,0.000017468115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007356044,0.0006309466,0.00038979,0.0025682221,0.0002859489,0.00070803356,0.00032318066,0.00027811024,0.0010642841],"category_scores_gemma":[0.00231651,0.0001565865,0.00082553516,0.0021755842,0.00016153471,0.00047112632,0.00028474318,0.00041034244,0.00026341132],"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":[0.00037544515,0.0006602962,0.18687071,0.00025568545,0.0005170158,0.0004472411,0.0007341517,0.15473928,0.017985865,0.008310072,0.003916041,0.6251882],"study_design_scores_gemma":[0.000009347802,0.00016440198,0.11819251,0.000021297536,0.000065258464,0.00015628838,0.00043806317,0.87229437,0.003573815,0.0023254124,0.0027161909,0.000043033204],"about_ca_topic_score_codex":0.006375367,"about_ca_topic_score_gemma":0.004164328,"teacher_disagreement_score":0.006375367,"about_ca_system_score_codex":0.0003522473,"about_ca_system_score_gemma":0.0006237196,"threshold_uncertainty_score":0.012676537},"labels":[],"label_agreement":null},{"id":"W3108888750","doi":"10.1109/tste.2020.3039758","title":"Stochastic Energy Management of Electric Bus Charging Stations With Renewable Energy Integration and B2G Capabilities","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic programming; Mathematical optimization; Computer science; Photovoltaic system; Markov decision process; Regret; Dynamic programming; Renewable energy; Heuristic; Energy management; Wind power; Energy storage; Markov process; Robust optimization; Grid; Automotive engineering; Engineering; Energy (signal processing); Power (physics); Electrical engineering; Mathematics","score_opus":0.003841288515131854,"score_gpt":0.1699156145650683,"score_spread":0.16607432604993644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108888750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077720195,0.0002881736,0.9155962,0.0003978048,0.000055480876,0.00006115767,0.00012402836,0.0001457603,0.0056112385],"genre_scores_gemma":[0.9870947,0.00014260433,0.011440166,0.00003948323,0.000020290121,0.000024654331,0.000054746975,0.000017513345,0.0011659269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917054,0.00027960254,0.000034887093,0.00016196711,0.00018385146,0.00016916027],"domain_scores_gemma":[0.9990908,0.00045000878,0.00021612362,0.000051324852,0.000121668825,0.0000699851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011479657,0.0008124606,0.00085127115,0.00038500145,0.0004640825,0.0013454779,0.00111833,0.0008542845,0.0016820407],"category_scores_gemma":[0.0028555319,0.0005996816,0.00064788526,0.00086588407,0.0005604225,0.0013606611,0.0010280444,0.0009260472,0.00015268431],"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":[0.000026655578,0.000012693335,0.00033010513,0.000016977461,0.000013821137,0.000051509935,0.000009103696,0.9871464,0.0004597756,0.0068351016,0.00019019739,0.0049077123],"study_design_scores_gemma":[0.0000035979256,0.000014280018,0.00013865592,0.0000016813101,0.0000044697595,0.000012354614,0.0000063730463,0.99711776,0.00014829675,0.00240867,0.00014029356,0.000003560919],"about_ca_topic_score_codex":0.006033508,"about_ca_topic_score_gemma":0.0061385515,"teacher_disagreement_score":0.006033508,"about_ca_system_score_codex":0.0011558005,"about_ca_system_score_gemma":0.0011302463,"threshold_uncertainty_score":0.011996806},"labels":[],"label_agreement":null},{"id":"W3111144301","doi":"10.1007/978-981-33-4572-0_168","title":"Coordinated Scheduling Optimization of V2G Technology and Renewable Energy for Electric Vehicles","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Electric vehicle; Renewable energy; Computer science; Automotive engineering; Photovoltaic system; Scheduling (production processes); Vehicle-to-grid; Mathematical optimization; Electricity generation; Genetic algorithm; Wind power; Demand response; Power (physics); Electrical engineering; Engineering; Mathematics","score_opus":0.006327333653606947,"score_gpt":0.20510336041405453,"score_spread":0.1987760267604476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111144301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04819414,0.0063105477,0.8326279,0.0010656705,0.0009735992,0.00008523217,0.00043589016,0.0005216823,0.10978529],"genre_scores_gemma":[0.9177379,0.0030248833,0.046270188,0.0001710423,0.00026963858,0.00010280665,0.00031507324,0.00022610874,0.031882323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998142,0.000053459462,0.0000043324867,0.000030215286,0.00005572376,0.000042064825],"domain_scores_gemma":[0.99987936,0.00006038315,0.000014277868,0.000008670576,0.000024822943,0.000012471159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002699407,0.0009594292,0.0007004905,0.00028821462,0.0002742522,0.0009873736,0.00065143214,0.00050491147,0.004153614],"category_scores_gemma":[0.0005374372,0.00032730927,0.0004167886,0.0009446843,0.00030355598,0.00051870925,0.00040992213,0.0005763837,0.00055860635],"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":[0.00003344012,0.000015712476,0.000063302374,0.000030571588,0.00001700363,0.00001863477,0.000008530708,0.9646324,0.0007287912,0.008864661,0.0037545825,0.021832392],"study_design_scores_gemma":[0.0000066084526,0.00002745645,0.00012155044,0.0000064345445,0.0000059353943,0.000007929061,0.000013648718,0.9875218,0.000256235,0.008823683,0.003205142,0.0000035405035],"about_ca_topic_score_codex":0.008547417,"about_ca_topic_score_gemma":0.009326159,"teacher_disagreement_score":0.008547417,"about_ca_system_score_codex":0.001077673,"about_ca_system_score_gemma":0.0011189699,"threshold_uncertainty_score":0.01699537},"labels":[],"label_agreement":null},{"id":"W3111462850","doi":"10.5539/ijef.v13n1p12","title":"Analysis of China’s Pure Electric Vehicle Sales Based on Spatial Econometric Models","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Per capita; Econometric model; Subsidy; Loan; Agricultural economics; Economics; Purchasing power; Purchasing; Per capita income; Business; Econometrics; Marketing; Macroeconomics; Market economy; Population","score_opus":0.007378889743085597,"score_gpt":0.18452940015498728,"score_spread":0.1771505104119017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111462850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98544425,0.00028266865,0.011099115,0.0002511938,0.000012544106,0.000035919194,0.0008569671,0.00008789824,0.0019293589],"genre_scores_gemma":[0.9952409,0.00025608705,0.0016310184,0.00001618449,0.000013381799,0.000020525813,0.00093674456,0.000010017639,0.001875172],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937767,0.00018955865,0.00003703905,0.00015166312,0.00011275333,0.00013136845],"domain_scores_gemma":[0.9966427,0.0019978373,0.00065523834,0.0002159173,0.00035062514,0.00013775259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476589,0.0005551367,0.00061420293,0.0025225421,0.00034962271,0.0012124775,0.0009412568,0.00048415034,0.0037226423],"category_scores_gemma":[0.0043046456,0.00045713657,0.0016803873,0.0024606897,0.00057649,0.0013143477,0.0008915063,0.00061864324,0.00041062792],"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":[0.00019984292,0.00019862557,0.52153337,0.00012650395,0.0005235076,0.0009833603,0.00047335966,0.43268216,0.00068287674,0.012747631,0.0017321812,0.028116614],"study_design_scores_gemma":[0.000014413945,0.00008158148,0.100373,0.0000149666785,0.00012832915,0.00007022804,0.00033921577,0.89543283,0.00027778719,0.0021869158,0.0010513095,0.000029391187],"about_ca_topic_score_codex":0.09256524,"about_ca_topic_score_gemma":0.052128803,"teacher_disagreement_score":0.09256524,"about_ca_system_score_codex":0.0016313764,"about_ca_system_score_gemma":0.001312327,"threshold_uncertainty_score":0.18405288},"labels":[],"label_agreement":null},{"id":"W3111965818","doi":"10.1109/tits.2020.3038274","title":"An Optimal Battery Charging Algorithm in Electric Vehicle-Assisted Battery Swapping Environments","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation","keywords":"Markov decision process; Battery (electricity); Quality of service; Computer science; Charging station; Electricity; Schedule; Mathematical optimization; Profit (economics); Markov process; Electric vehicle; Engineering; Electrical engineering; Computer network; Mathematics","score_opus":0.014413264708465818,"score_gpt":0.21156909889618145,"score_spread":0.19715583418771562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111965818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08335821,0.00043860092,0.90613467,0.0004652299,0.00007786674,0.000088960885,0.000088772984,0.0005363365,0.008811355],"genre_scores_gemma":[0.9160187,0.00019391316,0.08024132,0.00010551919,0.000023965125,0.00007031319,0.000079215846,0.000046731693,0.0032203656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997235,0.000072225375,0.000011798861,0.00005473238,0.00005142975,0.00008627659],"domain_scores_gemma":[0.99966717,0.00015943249,0.00003815375,0.00002071517,0.000075845885,0.00003876117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407672,0.0004658494,0.00080532854,0.00029861,0.00045872835,0.00073909736,0.0008961337,0.00071443844,0.0022646214],"category_scores_gemma":[0.00106875,0.0003475994,0.000284782,0.0005203987,0.00046741823,0.0008142343,0.0007778117,0.00053435046,0.00024402981],"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":[0.00011679293,0.000058199177,0.00040457264,0.000034593726,0.000014089104,0.000056100045,0.000047034096,0.9457252,0.0014576642,0.009767017,0.001722469,0.04059615],"study_design_scores_gemma":[0.000011551065,0.000014626903,0.000044166012,0.0000016745367,0.0000020163145,0.000011223952,0.000011966605,0.9971398,0.00021784392,0.00224845,0.00029414246,0.0000025065863],"about_ca_topic_score_codex":0.0063880906,"about_ca_topic_score_gemma":0.0047410512,"teacher_disagreement_score":0.0063880906,"about_ca_system_score_codex":0.00079598284,"about_ca_system_score_gemma":0.0015803718,"threshold_uncertainty_score":0.012701809},"labels":[],"label_agreement":null},{"id":"W3113030305","doi":"10.1109/smc42975.2020.9283062","title":"The Fixed Route Electric Vehicle Charging Problem with nonlinear energy management and variable vehicle speed","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 Laval","funders":"","keywords":"Range (aeronautics); Energy consumption; Nonlinear system; Computer science; Electric vehicle; Energy (signal processing); Mathematical optimization; Linearity; Variable (mathematics); Driving range; Nonlinear programming; Topology (electrical circuits); Energy management; Control theory (sociology); Automotive engineering; Engineering; Mathematics; Control (management); Electrical engineering; Power (physics)","score_opus":0.0035839528778671198,"score_gpt":0.15595298220294185,"score_spread":0.15236902932507473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113030305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3099282,0.00058026554,0.66602725,0.0014969435,0.00013639661,0.0002992899,0.0014410072,0.00039723067,0.019693444],"genre_scores_gemma":[0.9175388,0.00025073026,0.070978396,0.00009868492,0.00003195558,0.00019540268,0.0005164006,0.00008212473,0.010307437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993699,0.00024257846,0.000022146594,0.00014533687,0.00006320136,0.00015671665],"domain_scores_gemma":[0.99907255,0.0006572951,0.00009186085,0.000043192333,0.00006681011,0.000068249494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007932641,0.0010557988,0.0010046416,0.00031378274,0.0004541176,0.0012363761,0.0014578188,0.0015626804,0.0046307375],"category_scores_gemma":[0.001903252,0.0006091705,0.0009865236,0.00067845744,0.00057731534,0.0011737825,0.00067256886,0.0011734058,0.00026441654],"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":[0.00005043443,0.000038065733,0.00035996787,0.00004429456,0.000014737625,0.00010546251,0.0000188662,0.9907855,0.0002617229,0.003922631,0.0005553076,0.003842932],"study_design_scores_gemma":[0.000021335765,0.000037707137,0.00017558853,0.0000043545906,0.000008028183,0.00004665981,0.00003260898,0.99560404,0.000249044,0.0031913067,0.00062276656,0.000006531954],"about_ca_topic_score_codex":0.014068455,"about_ca_topic_score_gemma":0.012746298,"teacher_disagreement_score":0.014068455,"about_ca_system_score_codex":0.0013738634,"about_ca_system_score_gemma":0.0015410064,"threshold_uncertainty_score":0.027973115},"labels":[],"label_agreement":null},{"id":"W3113097567","doi":"","title":"Electric Vehicle Routing under Time-Variant Electricity Prices","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tabu search; Grid; Computer science; Electric vehicle; Energy storage; Electricity; Lagrangian relaxation; Scheduling (production processes); Vehicle-to-grid; Mathematical optimization; Automotive engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.023380744452048803,"score_gpt":0.15507107569204553,"score_spread":0.13169033123999674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113097567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2744436,0.00095026096,0.7048349,0.000879766,0.0001900047,0.00016325909,0.00069641066,0.00044325436,0.01739854],"genre_scores_gemma":[0.9471949,0.00048300918,0.046255317,0.000055472916,0.00003165005,0.00007194966,0.00031886523,0.0000782683,0.00551063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993197,0.0002894336,0.000029151579,0.00012762197,0.000102374084,0.00013181535],"domain_scores_gemma":[0.9990695,0.0005202494,0.00016826951,0.0000541889,0.0001246558,0.00006312142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000952802,0.00081986137,0.00083376846,0.00043877278,0.00046093907,0.0014564346,0.0010465911,0.0012293538,0.0021487111],"category_scores_gemma":[0.0024416903,0.00057894224,0.00072046544,0.0010945237,0.0006506748,0.001401958,0.00051129155,0.00080401386,0.00019472268],"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":[0.000013896183,0.0000062797394,0.00008613625,0.0000052022756,0.000004291454,0.000024292924,0.000004775051,0.99567956,0.00013166276,0.0023497597,0.00015354334,0.0015407257],"study_design_scores_gemma":[0.0000064129044,0.000012215647,0.00009475214,0.0000011331232,0.000003093404,0.000012312934,0.000011664458,0.99664485,0.00009461453,0.00288123,0.00023534345,0.0000024553572],"about_ca_topic_score_codex":0.013477707,"about_ca_topic_score_gemma":0.009426315,"teacher_disagreement_score":0.013477707,"about_ca_system_score_codex":0.0018330537,"about_ca_system_score_gemma":0.0013366311,"threshold_uncertainty_score":0.026798546},"labels":[],"label_agreement":null},{"id":"W3114396658","doi":"10.11606/d.55.2020.tde-23112020-143732","title":"Problema de Roteamento de Veículos Elétricos: otimização da vida útil das baterias","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Memetic algorithm; Greenhouse gas; Problem solver; Solver; Computer science; Energy consumption; Mathematical optimization; Operations research; Engineering; Evolutionary algorithm; Mathematics; Artificial intelligence; Electrical engineering","score_opus":0.008485772969751495,"score_gpt":0.24236706423690496,"score_spread":0.23388129126715346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114396658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22385126,0.0052263862,0.70351905,0.0029093288,0.00037544037,0.00033075453,0.00059178344,0.00041326496,0.06278269],"genre_scores_gemma":[0.8396809,0.0033173745,0.13081042,0.00019772048,0.0001149528,0.00029280275,0.00025651092,0.0001417796,0.025187643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942243,0.00018117679,0.000025855745,0.00015209141,0.000115351264,0.00010308366],"domain_scores_gemma":[0.99923325,0.00048156487,0.0001033764,0.000050692684,0.00008602393,0.00004509122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096260733,0.0008913922,0.0010187246,0.000748177,0.00080263097,0.002552506,0.0014189469,0.0018864449,0.005149886],"category_scores_gemma":[0.0032496406,0.0003759013,0.0011984645,0.00093747495,0.00093026063,0.0019043211,0.0014303494,0.0011953311,0.00065752707],"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":[0.00034006435,0.00032077177,0.002447478,0.0009880137,0.00014681969,0.00058232795,0.00047596195,0.6814305,0.009498192,0.10299852,0.0067906156,0.19398072],"study_design_scores_gemma":[0.000049872775,0.00040592533,0.0016316022,0.00024624044,0.00014878485,0.0007163245,0.0007120761,0.9021455,0.008417593,0.06475572,0.020715,0.00005531132],"about_ca_topic_score_codex":0.0035768342,"about_ca_topic_score_gemma":0.002946429,"teacher_disagreement_score":0.005149886,"about_ca_system_score_codex":0.0011239777,"about_ca_system_score_gemma":0.0012164558,"threshold_uncertainty_score":0.017228007},"labels":[],"label_agreement":null},{"id":"W3115072041","doi":"10.1016/j.trc.2021.103285","title":"Electric vehicle routing with charging/discharging under time-variant electricity prices","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Energy Council of Canada","keywords":"Tabu search; Energy storage; Grid; Electricity; Electric vehicle; Computer science; Scheduling (production processes); Automotive engineering; Vehicle-to-grid; Lagrangian relaxation; Mathematical optimization; Simulation; Engineering; Electrical engineering; Power (physics); Mathematics","score_opus":0.018449239207351045,"score_gpt":0.2680297395144085,"score_spread":0.24958050030705747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115072041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20116465,0.0007159878,0.7793682,0.0014908528,0.00047725008,0.00011230319,0.0003846999,0.00035978446,0.015926262],"genre_scores_gemma":[0.97892857,0.000164169,0.014785482,0.000059315185,0.0000539448,0.00001375193,0.00008115709,0.000043571665,0.005870146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920315,0.00029289862,0.000034783152,0.00016946175,0.00010576538,0.00019400558],"domain_scores_gemma":[0.998483,0.00089472526,0.00020910313,0.00010270556,0.00022175876,0.00008868722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014501695,0.00089160656,0.0013006149,0.0004130473,0.00047033303,0.0020993343,0.0015181813,0.00139124,0.0037007176],"category_scores_gemma":[0.0053880904,0.0007026952,0.0007525528,0.0009016208,0.0011207749,0.0018972965,0.00085876393,0.0010298284,0.00029294073],"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":[0.00013053918,0.000022342507,0.00020352253,0.000026116828,0.000018537097,0.00009341144,0.000012447366,0.98210067,0.00044657747,0.012092653,0.00053895224,0.004314183],"study_design_scores_gemma":[0.000008490987,0.000012951099,0.000052459953,0.0000012724286,0.000005347385,0.000015778396,0.000008314386,0.9959074,0.00010016509,0.0038030928,0.00008139466,0.0000031964269],"about_ca_topic_score_codex":0.007782358,"about_ca_topic_score_gemma":0.005367617,"teacher_disagreement_score":0.007782358,"about_ca_system_score_codex":0.0014080831,"about_ca_system_score_gemma":0.0010881049,"threshold_uncertainty_score":0.015474141},"labels":[],"label_agreement":null},{"id":"W3115228262","doi":"10.1109/pesgm41954.2020.9281627","title":"Electric Vehicles Optimal Scheduling for Peer-to-Peer Energy Trade and Ancillary Services Provision to the Grid","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Software deployment; Smart grid; Grid; Computer science; Scheduling (production processes); Peer-to-peer; Service provider; Distributed computing; Service (business); Computer network; Engineering; Business; Electrical engineering; Operating system; Operations management","score_opus":0.006581905212945905,"score_gpt":0.19954737912624754,"score_spread":0.19296547391330163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115228262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093024544,0.00041863977,0.89334655,0.00044623483,0.00014377586,0.00017225549,0.00010217895,0.00020042104,0.0121454615],"genre_scores_gemma":[0.95022076,0.00017716365,0.04585917,0.000046464622,0.00003357174,0.000075429954,0.0000701459,0.000038420803,0.0034788682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999658,0.0001112576,0.000015037864,0.000070880196,0.00006440791,0.00008055121],"domain_scores_gemma":[0.9993931,0.00031993535,0.00008392696,0.00003052456,0.000105495434,0.00006706113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007173031,0.0005724505,0.0008659575,0.00026646134,0.0004984185,0.00087111746,0.0009287294,0.0007555211,0.0027905179],"category_scores_gemma":[0.0018561101,0.00034484762,0.00036713586,0.0004568876,0.00047448595,0.0007350435,0.0006338342,0.0008195618,0.000264998],"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":[0.0000353505,0.00002261733,0.0001874811,0.00002260823,0.000007148857,0.000028303415,0.000015539876,0.9865176,0.00048103856,0.005721429,0.00067741855,0.006283401],"study_design_scores_gemma":[0.000004610914,0.00000834175,0.000033522043,0.0000010289173,0.0000014307653,0.0000036223107,0.000008191491,0.9986707,0.00007664597,0.001020146,0.00017039229,0.0000014706561],"about_ca_topic_score_codex":0.009029132,"about_ca_topic_score_gemma":0.008646462,"teacher_disagreement_score":0.009029132,"about_ca_system_score_codex":0.0010110245,"about_ca_system_score_gemma":0.0020506743,"threshold_uncertainty_score":0.017953157},"labels":[],"label_agreement":null},{"id":"W3115692808","doi":"10.1109/iemcon51383.2020.9284859","title":"Design of an IoT interface for a solar energy system with vehicle to home option for Newfoundland conditions","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Mode (computer interface); Internet of Things; Software; Home automation; Cloud computing; Embedded system; Engineering; Electrical engineering; Energy (signal processing); Solar energy; Real-time computing; Computer science; Telecommunications; Automotive engineering; Architectural engineering; Operating system","score_opus":0.01109346658643739,"score_gpt":0.2104133101926787,"score_spread":0.1993198436062413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115692808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3369045,0.00035925073,0.5087011,0.0008146997,0.00045697286,0.0014277863,0.0012212445,0.017678255,0.13243626],"genre_scores_gemma":[0.855136,0.00017334039,0.07670392,0.00036093697,0.000058540867,0.00050904177,0.0007213909,0.0004122637,0.065924585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998418,0.000012088436,0.000010362887,0.000037137837,0.000050393035,0.000048132908],"domain_scores_gemma":[0.999895,0.000010695561,0.000008414769,0.000010633795,0.000060018265,0.000015164519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017481383,0.00043177657,0.00032271974,0.00035974075,0.0006178969,0.00079421856,0.0007650717,0.00038936586,0.01142152],"category_scores_gemma":[0.00019393576,0.00024245745,0.0002900054,0.0001588416,0.00016130324,0.0005111117,0.00044465726,0.00033768895,0.0019004993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014804731,0.0007043301,0.025707358,0.0005999185,0.00017640194,0.0052344333,0.002578093,0.015787512,0.55999917,0.017055342,0.053222593,0.3174545],"study_design_scores_gemma":[0.00034285692,0.002060614,0.052362345,0.00019718906,0.00046550558,0.0039017478,0.0015186184,0.29641533,0.32584226,0.0021204858,0.31456804,0.0002049785],"about_ca_topic_score_codex":0.014240132,"about_ca_topic_score_gemma":0.024659213,"teacher_disagreement_score":0.98575985,"about_ca_system_score_codex":0.00071642286,"about_ca_system_score_gemma":0.00062197977,"threshold_uncertainty_score":0.038208842},"labels":[],"label_agreement":null},{"id":"W3116763688","doi":"10.1109/tits.2020.3044890","title":"BlockEV: Efficient and Secure Charging Station Selection for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer security; Computer science; Reservation; Scalability; Quality of service; Smart grid; Computer network; Database transaction; Blockchain; Engineering; Database","score_opus":0.01246880309215589,"score_gpt":0.21289056157916955,"score_spread":0.20042175848701366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116763688","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08987789,0.00058243703,0.8939709,0.00042618992,0.00017483678,0.0005267762,0.00036978108,0.0024233449,0.011647851],"genre_scores_gemma":[0.9458036,0.00030818087,0.044973847,0.00009050138,0.000029558101,0.00023730373,0.00038984342,0.00006148241,0.00810569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988771,0.000295679,0.0000610875,0.000121132056,0.00045496642,0.00019005075],"domain_scores_gemma":[0.99905175,0.00029760535,0.00013095055,0.0002547059,0.00017347682,0.0000913958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929941,0.0003861105,0.0005222639,0.00040253665,0.0007514968,0.0007268882,0.0012624268,0.0007018192,0.004133464],"category_scores_gemma":[0.002191447,0.00024370897,0.00026878534,0.0004727005,0.0006480659,0.0017837954,0.0023179585,0.00068929873,0.0009518707],"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":[0.0017316195,0.00034666076,0.00441404,0.0004502415,0.00010492096,0.001026108,0.0005856219,0.45629284,0.06563191,0.10849529,0.013537559,0.3473832],"study_design_scores_gemma":[0.00014620913,0.0003335789,0.00041736948,0.000026538437,0.000020843054,0.00030128955,0.00008462023,0.9372604,0.019890103,0.02402585,0.017453892,0.000039297123],"about_ca_topic_score_codex":0.0020469197,"about_ca_topic_score_gemma":0.002863446,"teacher_disagreement_score":0.004133464,"about_ca_system_score_codex":0.00062753214,"about_ca_system_score_gemma":0.0016099726,"threshold_uncertainty_score":0.013827801},"labels":[],"label_agreement":null},{"id":"W3116879212","doi":"10.1109/smartgridcomm47815.2020.9302982","title":"Impact Analysis of EV Preconditioning on the Residential Distribution Network","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada); Hydro-Québec; Concordia University","funders":"Hydro-Québec","keywords":"Control reconfiguration; Automotive engineering; Computer science; Voltage; Peak demand; Low voltage; Reliability engineering; Electrical engineering; Engineering; Electricity; Embedded system","score_opus":0.0066467202575989145,"score_gpt":0.20989419030492598,"score_spread":0.20324747004732707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116879212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98290116,0.00024332159,0.006838485,0.00027159712,0.00004598231,0.00006702316,0.00038601365,0.00011223026,0.009134278],"genre_scores_gemma":[0.99889874,0.00005762933,0.00051150774,0.00001739259,0.0000033838708,0.000007052296,0.000070390895,0.000007313274,0.0004265173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994697,0.00022590616,0.000011890741,0.000056114262,0.00007184081,0.00016458253],"domain_scores_gemma":[0.99786973,0.0012591975,0.00025400353,0.00011636853,0.00032080687,0.0001799016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076695683,0.000702643,0.000349179,0.00052031735,0.00048541877,0.000646382,0.00072385004,0.00069387484,0.0026134865],"category_scores_gemma":[0.0027553495,0.0001800443,0.00045869645,0.00045117942,0.0007015299,0.0009561709,0.00064716325,0.00058753596,0.00013448168],"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":[0.00020884199,0.00006382314,0.0059002116,0.00004710644,0.000027981467,0.00037185187,0.000039287763,0.98576164,0.0018231729,0.0013260152,0.00062432175,0.0038056828],"study_design_scores_gemma":[0.000019129911,0.00046809058,0.008396421,0.000027001539,0.00008212844,0.0001512564,0.00032745124,0.9860962,0.0024802475,0.0012150971,0.0007187122,0.000018239358],"about_ca_topic_score_codex":0.012180092,"about_ca_topic_score_gemma":0.0103593,"teacher_disagreement_score":0.012180092,"about_ca_system_score_codex":0.0015269774,"about_ca_system_score_gemma":0.00043760132,"threshold_uncertainty_score":0.02421838},"labels":[],"label_agreement":null},{"id":"W3117946527","doi":"10.1155/2020/8863905","title":"Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Scheduling (production processes); Schedule; Electricity; Automotive engineering; Electric vehicle; Computer science; Engineering; Operations research; Electrical engineering; Power (physics); Operations management","score_opus":0.007686326078940737,"score_gpt":0.20030414765955037,"score_spread":0.19261782158060964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117946527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25223184,0.000530856,0.7233037,0.0006598141,0.00012846533,0.00021579629,0.0006158478,0.0004251472,0.021888606],"genre_scores_gemma":[0.9724811,0.0002384439,0.021465251,0.00004019717,0.000017536646,0.000105675615,0.00020823881,0.00004838985,0.005395255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964046,0.00010578725,0.0000108844015,0.000075050746,0.000059389622,0.00010851934],"domain_scores_gemma":[0.99966824,0.00014806083,0.00005734537,0.00001776575,0.000071005816,0.000037653514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142957,0.0009860712,0.0009105344,0.0005170844,0.0003317002,0.0010719202,0.0009072765,0.000986517,0.0024209577],"category_scores_gemma":[0.0012152976,0.0006018007,0.0008560238,0.00077464065,0.00047447282,0.0008074066,0.0005298965,0.0008253779,0.00019492926],"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":[0.000009607245,0.000007814166,0.00019904462,0.000008788804,0.00000609942,0.00001972531,0.0000041497483,0.99769175,0.00010911896,0.00065236184,0.00011654777,0.001174965],"study_design_scores_gemma":[0.0000038298617,0.000011575554,0.00014128833,0.0000011674115,0.0000056235062,0.0000043352516,0.000006651695,0.9993062,0.000056330904,0.00034516802,0.000116129544,0.0000016771638],"about_ca_topic_score_codex":0.030823223,"about_ca_topic_score_gemma":0.021731978,"teacher_disagreement_score":0.030823223,"about_ca_system_score_codex":0.0013009891,"about_ca_system_score_gemma":0.0022599772,"threshold_uncertainty_score":0.06128764},"labels":[],"label_agreement":null},{"id":"W3118239823","doi":"10.1109/tsg.2021.3051032","title":"Adaptive Congestion Control for Electric Vehicle Charging in the Smart Grid","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":62,"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 Alberta","funders":"Canada First Research Excellence Fund","keywords":"Reinforcement learning; Smart grid; Computer science; Phasor; Transformer; Control reconfiguration; Grid; Control theory (sociology); Electric vehicle; Electric power system; Voltage; Engineering; Control engineering; Control (management); Power (physics); Artificial intelligence; Electrical engineering; Embedded system","score_opus":0.009589801541611268,"score_gpt":0.20449699992496206,"score_spread":0.1949071983833508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118239823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045931444,0.00021967536,0.9505094,0.00023043901,0.000100897116,0.000032961816,0.000012938549,0.0004410486,0.002521146],"genre_scores_gemma":[0.99062294,0.000049996677,0.008377853,0.000028475595,0.000020832595,0.00001404707,0.000008233784,0.000016883061,0.00086082803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997961,0.00005292045,0.000008749693,0.000051348594,0.00004994369,0.000041046726],"domain_scores_gemma":[0.9996137,0.00016833839,0.00007142308,0.000025722462,0.00009093906,0.000029982313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005351604,0.00041930858,0.00052388903,0.00025212087,0.00034703186,0.00047613014,0.0006397311,0.0003107026,0.00085808337],"category_scores_gemma":[0.0015401475,0.00022495816,0.0002176301,0.00019285057,0.00058062084,0.00066327717,0.00057119376,0.0006843458,0.00008802196],"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":[0.000055279583,0.00003464551,0.0004079036,0.00002249446,0.000016262353,0.00003415408,0.00003584844,0.9599784,0.0027074781,0.006219099,0.0005699735,0.029918516],"study_design_scores_gemma":[0.000006039124,0.000011953839,0.000054092066,7.9630684e-7,0.000001861275,0.000004258076,0.0000025368174,0.99832624,0.0002658364,0.001168109,0.00015621696,0.000002046493],"about_ca_topic_score_codex":0.004130962,"about_ca_topic_score_gemma":0.00350598,"teacher_disagreement_score":0.004130962,"about_ca_system_score_codex":0.0006902539,"about_ca_system_score_gemma":0.00063812104,"threshold_uncertainty_score":0.008213818},"labels":[],"label_agreement":null},{"id":"W3118801605","doi":"10.18757/ejtir.2020.20.4.5315","title":"Future Urban Charging Solutions for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","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":"Université Laval","funders":"","keywords":"Lagging; Software deployment; Work (physics); Transport engineering; Public transport; Electric vehicle; Service (business); Charging station; Electrification; Delphi method; Scale (ratio); Environmental economics; Computer science; Business; Electricity; Engineering; Electrical engineering; Marketing; Geography; Economics","score_opus":0.024346147304606762,"score_gpt":0.24593913613314508,"score_spread":0.2215929888285383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118801605","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18751429,0.012637703,0.32519957,0.022065235,0.001027267,0.00076018483,0.0011426717,0.0025314314,0.44712162],"genre_scores_gemma":[0.7516482,0.010900076,0.16038598,0.0018978866,0.00015383345,0.00036748446,0.0017167378,0.00027748244,0.072652236],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991918,0.00032978214,0.000031519914,0.00004276761,0.00021568115,0.00018841059],"domain_scores_gemma":[0.99946505,0.0001436098,0.000048073995,0.0000442913,0.00024164605,0.00005745857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012166324,0.00044414002,0.00016872288,0.0005988351,0.0006822333,0.0023992152,0.00088193,0.00095957675,0.015455402],"category_scores_gemma":[0.0015939963,0.00019634282,0.00039381464,0.0011414862,0.00027458635,0.0034296007,0.0012856305,0.00064210815,0.003291277],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022284102,0.00026154635,0.0057843244,0.0013947183,0.000050040322,0.0005861825,0.0016069836,0.034736734,0.010238016,0.23092726,0.045727443,0.6684639],"study_design_scores_gemma":[0.000048905807,0.0003125809,0.004469658,0.0007184908,0.000056308872,0.0007792029,0.0092806695,0.045839887,0.007976838,0.122101605,0.8083178,0.0000982445],"about_ca_topic_score_codex":0.0011523778,"about_ca_topic_score_gemma":0.0026882999,"teacher_disagreement_score":0.015455402,"about_ca_system_score_codex":0.0009113394,"about_ca_system_score_gemma":0.0009710763,"threshold_uncertainty_score":0.051703453},"labels":[],"label_agreement":null},{"id":"W3119883398","doi":"","title":"Electric vehicles in Canada: A national analysis of consumer preferences, willingness-to-pay, and market segmentation","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Willingness to pay; Market segmentation; Business; Economics; Marketing; Advertising; Microeconomics","score_opus":0.0056293636674911145,"score_gpt":0.19524421056915423,"score_spread":0.1896148469016631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119883398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99121267,0.00037715855,0.00013354207,0.0005274217,0.0000061662604,0.000027721127,0.002573388,0.000005819426,0.005136138],"genre_scores_gemma":[0.9945914,0.00034439564,0.00015728099,0.00010452053,0.000003063241,0.000010113946,0.0018957186,0.00000514765,0.0028882932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947923,0.000042469914,0.0000173367,0.000057275833,0.00016092659,0.00024273066],"domain_scores_gemma":[0.9984091,0.00017931899,0.00016911035,0.000036364876,0.00083601056,0.00037011234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059487217,0.00022778861,0.00037836295,0.0010160741,0.0025645837,0.0015041048,0.00079258514,0.00055110856,0.0035587617],"category_scores_gemma":[0.0014666944,0.00023452548,0.0008754377,0.0044378126,0.00067534094,0.000644335,0.0007148808,0.0008365147,0.0002818193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024776004,0.00018835544,0.9770915,0.000045905534,0.00013757241,0.00019279293,0.0024668952,0.001666782,0.0002275448,0.002223258,0.004123736,0.011387896],"study_design_scores_gemma":[0.000010575954,0.000021953985,0.98763335,0.000029517843,0.00005413404,0.000030598716,0.006912057,0.0019056891,0.000087442975,0.00015939005,0.003135429,0.000019899044],"about_ca_topic_score_codex":0.997157,"about_ca_topic_score_gemma":0.9986915,"teacher_disagreement_score":0.034726728,"about_ca_system_score_codex":0.034726728,"about_ca_system_score_gemma":0.030146636,"threshold_uncertainty_score":0.25196117},"labels":[],"label_agreement":null},{"id":"W3120455105","doi":"","title":"Spatial and demographic sub-markets informing preferences for electric vehicles in Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geography; Business","score_opus":0.003705236413146721,"score_gpt":0.16265483296889946,"score_spread":0.15894959655575275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120455105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918532,0.00017330422,0.00018237035,0.00072072906,0.000006903437,0.00001557168,0.0016272493,0.00000518519,0.005415517],"genre_scores_gemma":[0.9968957,0.00011734319,0.000107174055,0.000057629455,0.0000025750574,0.0000054623356,0.0004865301,0.0000050916024,0.0023225003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931026,0.000082844286,0.00002727328,0.00008501117,0.00015362442,0.0003409565],"domain_scores_gemma":[0.99651635,0.0006324189,0.0004969227,0.000095973686,0.0013579788,0.0009003747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066609675,0.00014837511,0.00029493068,0.0009586922,0.0024486342,0.0023061035,0.00086248445,0.00048318075,0.0068499288],"category_scores_gemma":[0.0030606394,0.00021852441,0.00046508096,0.0023290727,0.0009846085,0.00078169117,0.0009967207,0.0008593566,0.00035786798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114706454,0.000070746755,0.98389786,0.000018863793,0.000056079727,0.000117000636,0.003427116,0.0008268416,0.0002457,0.0024152233,0.0023977424,0.0064120726],"study_design_scores_gemma":[0.0000082419565,0.00001794369,0.97496,0.00003897484,0.000026415895,0.000051556708,0.017880583,0.00226568,0.0001085021,0.00053250475,0.0040817577,0.000027792554],"about_ca_topic_score_codex":0.9932949,"about_ca_topic_score_gemma":0.99779356,"teacher_disagreement_score":0.01466435,"about_ca_system_score_codex":0.01466435,"about_ca_system_score_gemma":0.021027017,"threshold_uncertainty_score":0.10639781},"labels":[],"label_agreement":null},{"id":"W3120655537","doi":"10.3390/wevj12010011","title":"Charging and Discharging Strategies of Electric Vehicles: A Survey","year":2021,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","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":"McGill University; Université du Québec à Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Weighting; Computer science; Grid; Power grid; Plug-in; Power (physics); Electric vehicle; Automotive engineering; Engineering","score_opus":0.007701323496657742,"score_gpt":0.21288551927595878,"score_spread":0.20518419577930103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120655537","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069555664,0.97169614,0.0049149133,0.000616799,0.00023856544,0.00005220195,0.00029627833,0.000042224554,0.0151873045],"genre_scores_gemma":[0.03599134,0.95749784,0.0029888863,0.00029924672,0.00018097306,0.00004301054,0.0004457551,0.000022011754,0.0025308428],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991393,0.0001827223,0.00016160212,0.0001483025,0.0003030869,0.00006483053],"domain_scores_gemma":[0.9974795,0.0017050471,0.00020186159,0.000052763153,0.0005226099,0.000038161055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012100628,0.00084853463,0.00085176487,0.0037749738,0.00031343682,0.0019879758,0.001105663,0.00095281575,0.003934054],"category_scores_gemma":[0.0039328304,0.00046595422,0.00085592875,0.005203727,0.0002964609,0.0028196978,0.0005365878,0.0005299723,0.0010088682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015625921,0.000089797264,0.0028030796,0.039008845,0.00023605261,0.000243677,0.0003251843,0.005454297,0.001442601,0.014334038,0.015615762,0.9202904],"study_design_scores_gemma":[0.000022926068,0.00049882836,0.0067407307,0.02062683,0.00059488247,0.0017014111,0.0015475923,0.0046720277,0.0037070664,0.011376888,0.9483997,0.00011107049],"about_ca_topic_score_codex":0.0028042186,"about_ca_topic_score_gemma":0.0025958898,"teacher_disagreement_score":0.003934054,"about_ca_system_score_codex":0.0008639021,"about_ca_system_score_gemma":0.0010842992,"threshold_uncertainty_score":0.013160706},"labels":[],"label_agreement":null},{"id":"W3123253836","doi":"","title":"Anticipating plug-in hybrid vehicle energy impacts in California: Constructing consumer-informed recharge profiles","year":2010,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; California Energy Commission","keywords":"Electricity; Gasoline; Groundwater recharge; Environmental economics; Environmental science; Mains electricity; Automotive engineering; Business; Engineering; Waste management; Economics; Electrical engineering","score_opus":0.009913834854438761,"score_gpt":0.211525621853144,"score_spread":0.20161178699870524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123253836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993785,0.00003807411,0.0033145356,0.00008761201,0.0000017555158,0.000030531526,0.0014481032,0.00004232565,0.0012519215],"genre_scores_gemma":[0.9939448,0.000074095246,0.0034105175,0.000009941299,0.0000017222633,0.000019807889,0.0021956922,0.0000062080317,0.00033707754],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997454,0.000056107958,0.0000206046,0.000102118865,0.000037560014,0.000038189977],"domain_scores_gemma":[0.9985429,0.00077582506,0.0002767824,0.000110242465,0.00022356432,0.00007076164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087274465,0.00039838394,0.000329702,0.00096336834,0.00029709612,0.0011637466,0.0006007259,0.00055146246,0.001162241],"category_scores_gemma":[0.004352696,0.000566228,0.00030032502,0.0012592576,0.00024319251,0.0011818503,0.0005150931,0.00057618757,0.00021485068],"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":[0.0002866908,0.0002963299,0.7298262,0.000058386137,0.00010744612,0.00016842404,0.0006435836,0.23833396,0.00050410663,0.0013094892,0.0015404903,0.026924921],"study_design_scores_gemma":[0.000034226723,0.00013927376,0.26093203,0.00003384336,0.00005962425,0.00004173402,0.0014901884,0.7318678,0.0007898256,0.0030656627,0.0014949441,0.00005090127],"about_ca_topic_score_codex":0.18316871,"about_ca_topic_score_gemma":0.19547176,"teacher_disagreement_score":0.18316871,"about_ca_system_score_codex":0.0013156001,"about_ca_system_score_gemma":0.0010053833,"threshold_uncertainty_score":0.36420512},"labels":[],"label_agreement":null},{"id":"W3124410723","doi":"10.20914/2310-1202-2020-4-366-370","title":"Trends and prospects for the development of renewable energy sources in the european union","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Voronezh State University of Engineering Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Subsidy; European union; Pellets; Electricity; Agricultural economics; Natural resource economics; Business; Competition (biology); Coal; Electricity generation; Energy policy; Environmental science; Economics; International trade; Waste management; Engineering; Power (physics); Market economy","score_opus":0.004479866578695529,"score_gpt":0.14765938037454948,"score_spread":0.14317951379585395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124410723","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0958282,0.62776595,0.006086045,0.053312283,0.0031345172,0.00007660429,0.00283394,0.00048161522,0.21048081],"genre_scores_gemma":[0.47933254,0.44439995,0.023530705,0.012224055,0.0017190268,0.00011070154,0.006757989,0.00016080987,0.03176423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896455,0.00018158529,0.00016924221,0.00014225714,0.00035309218,0.00018927312],"domain_scores_gemma":[0.9984334,0.0002553528,0.0003406651,0.000057137106,0.0006317331,0.00028171166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031780875,0.00042651047,0.00046062213,0.0018655956,0.00041518692,0.0034459648,0.0005406185,0.0017300121,0.00505035],"category_scores_gemma":[0.002326456,0.00017526714,0.0005807791,0.0037865888,0.00052058575,0.0026909155,0.0013798244,0.0014595961,0.0022038617],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036608372,0.00022225677,0.02729706,0.002711642,0.00015042003,0.00080868794,0.0004024936,0.002407005,0.0038610639,0.12737557,0.054564342,0.7798333],"study_design_scores_gemma":[0.000027726826,0.00021730487,0.073261656,0.0023408642,0.000050807634,0.0009042143,0.0008129892,0.0008505809,0.0015289367,0.009816772,0.9101394,0.000048785885],"about_ca_topic_score_codex":0.002355968,"about_ca_topic_score_gemma":0.001302044,"teacher_disagreement_score":0.00505035,"about_ca_system_score_codex":0.0015934348,"about_ca_system_score_gemma":0.0020038004,"threshold_uncertainty_score":0.016895115},"labels":[],"label_agreement":null},{"id":"W3125401970","doi":"10.1049/rpg2.12064","title":"Decentralized stochastic programming for optimal vehicle‐to‐grid operation in smart grid with renewable generation","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Smart grid; Grid; Computer science; Renewable energy; Stochastic programming; Vehicle-to-grid; Mathematical optimization; Distributed computing; Electric vehicle; Engineering; Electrical engineering; Power (physics); Mathematics","score_opus":0.011260300694496616,"score_gpt":0.22057252541399988,"score_spread":0.20931222471950325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125401970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0701903,0.00015346029,0.92389643,0.0003664604,0.00004410944,0.00007954524,0.000089957175,0.00024156421,0.0049382034],"genre_scores_gemma":[0.96334875,0.00009447706,0.03398886,0.00005580019,0.00001983089,0.000102037615,0.00006519834,0.00004921936,0.0022756872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927825,0.00030078526,0.000021697513,0.00009616472,0.00014381633,0.00015934752],"domain_scores_gemma":[0.9983437,0.0010944512,0.00020694938,0.00004383323,0.00021135477,0.00009966787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015263262,0.0008043848,0.0015050145,0.00034778233,0.00046243804,0.0009356483,0.00074976933,0.0007530793,0.002300964],"category_scores_gemma":[0.0026124052,0.0006165128,0.00065049867,0.00048548868,0.00072834326,0.00067572953,0.000847223,0.0010587303,0.00017418273],"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":[0.000016451291,0.0000072026883,0.000064772095,0.000007137863,0.0000043397627,0.000014220308,0.0000058570286,0.9967463,0.00012790176,0.0019405353,0.00008826774,0.0009769226],"study_design_scores_gemma":[0.0000027010567,0.000004010601,0.000012397176,5.222731e-7,7.0527153e-7,8.7098385e-7,0.000001797364,0.9993913,0.000026495954,0.00053634285,0.000022176448,6.831953e-7],"about_ca_topic_score_codex":0.010203274,"about_ca_topic_score_gemma":0.0079281395,"teacher_disagreement_score":0.010203274,"about_ca_system_score_codex":0.0013480193,"about_ca_system_score_gemma":0.0018654392,"threshold_uncertainty_score":0.020287752},"labels":[],"label_agreement":null},{"id":"W3126866643","doi":"10.1109/epec48502.2020.9319916","title":"Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial neural network; Dependency (UML); Ensemble learning; Electric power system; Electric vehicle; Term (time); Recurrent neural network; Artificial intelligence; Machine learning; Power (physics)","score_opus":0.013822771379796246,"score_gpt":0.20120356725152497,"score_spread":0.18738079587172873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126866643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4133679,0.0020373818,0.5750201,0.0005286928,0.000267307,0.00007996871,0.0016430627,0.002678765,0.004376875],"genre_scores_gemma":[0.95468205,0.0004654987,0.04080796,0.000060126626,0.00009341814,0.0000466477,0.0023386318,0.000042171796,0.0014633926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995983,0.00009079121,0.000031510674,0.00011776111,0.00010054263,0.00006113545],"domain_scores_gemma":[0.999143,0.000319286,0.0000729938,0.0001390949,0.00029117105,0.000034323857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012799333,0.00085299526,0.0010587752,0.001337803,0.00033263504,0.0005972796,0.00095294317,0.00064857845,0.000657513],"category_scores_gemma":[0.002708633,0.00027209104,0.00069574016,0.0015059019,0.00012368106,0.0012607168,0.0005064486,0.0011114099,0.00035644372],"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":[0.00019163227,0.00019206716,0.012101297,0.000037914597,0.00016173445,0.00008172076,0.00005580711,0.6999254,0.0017409854,0.0007528652,0.0036877424,0.28107095],"study_design_scores_gemma":[0.0000016885442,0.000010626491,0.0007087233,0.0000019451918,0.000007780485,0.000005727332,0.0000061035253,0.9983909,0.00035052226,0.00031911262,0.00019369856,0.000003114143],"about_ca_topic_score_codex":0.008958167,"about_ca_topic_score_gemma":0.01021384,"teacher_disagreement_score":0.008958167,"about_ca_system_score_codex":0.0005396216,"about_ca_system_score_gemma":0.00048015008,"threshold_uncertainty_score":0.017812014},"labels":[],"label_agreement":null},{"id":"W3129121450","doi":"10.1109/epec48502.2020.9320112","title":"Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Calgary","funders":"","keywords":"State of charge; Fuzzy logic; Vehicle-to-grid; Grid; Energy management system; Energy management; Computer science; Battery (electricity); Electric vehicle; Automotive engineering; Energy storage; Controller (irrigation); MATLAB; Charge controller; Fuzzy control system; Power (physics); Energy (signal processing); Engineering; Operating system","score_opus":0.005798610937457176,"score_gpt":0.16660198387414388,"score_spread":0.1608033729366867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129121450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19765323,0.00069716224,0.76594967,0.000667329,0.00035547966,0.00044627892,0.0004526204,0.0060101952,0.027768051],"genre_scores_gemma":[0.97722036,0.00007118797,0.018479668,0.00007863035,0.00001805212,0.000093490795,0.00008880312,0.0000129369,0.0039367597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998227,0.000024682993,0.000017689214,0.000048411417,0.000057872516,0.000028659711],"domain_scores_gemma":[0.9998659,0.000023904406,0.000019096078,0.000012341813,0.00006326132,0.000015436157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024741705,0.00040593176,0.0005032605,0.00037600417,0.00082332065,0.00095220306,0.0009760318,0.00054545805,0.004562405],"category_scores_gemma":[0.0002150792,0.00017819261,0.00034345305,0.00027797002,0.00024352848,0.00046753854,0.00044586463,0.00032575682,0.00072361215],"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":[0.0011856934,0.0005922485,0.0057179723,0.0005560159,0.00019093572,0.00120535,0.00033840552,0.65045446,0.054233372,0.011220942,0.010915316,0.26338932],"study_design_scores_gemma":[0.00007963234,0.00021653519,0.0009846486,0.000016358228,0.000045618195,0.00016182852,0.00006801831,0.9858993,0.0069786883,0.0015423292,0.003981481,0.000025571875],"about_ca_topic_score_codex":0.00708852,"about_ca_topic_score_gemma":0.009967803,"teacher_disagreement_score":0.00708852,"about_ca_system_score_codex":0.0005618246,"about_ca_system_score_gemma":0.0007058178,"threshold_uncertainty_score":0.015262783},"labels":[],"label_agreement":null},{"id":"W3132515107","doi":"10.1109/vtc2020-fall49728.2020.9348674","title":"Average Reward Reinforcement Learning for Optimal On-route Charging of Electric Buses","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Schedule; Reinforcement learning; Markov decision process; Computer science; Battery (electricity); Grid; Process (computing); Markov process; Operations research; Automotive engineering; Engineering; Power (physics); Artificial intelligence","score_opus":0.010139505760853021,"score_gpt":0.20327362010975872,"score_spread":0.1931341143489057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132515107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2279816,0.00088836334,0.76127267,0.00057703984,0.00013136322,0.0001209615,0.000078997444,0.0011218644,0.007827277],"genre_scores_gemma":[0.9874068,0.00007874304,0.011169432,0.000061711355,0.000014263492,0.00003996368,0.000037248898,0.00002171553,0.0011702881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995389,0.00017663251,0.000018589786,0.00007764663,0.00007103375,0.000117291784],"domain_scores_gemma":[0.99850357,0.00096589106,0.0001663805,0.000039686976,0.00022458828,0.00009990454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011170108,0.00072755065,0.0011257109,0.00034483182,0.00028208274,0.0005153008,0.0008087499,0.00071277877,0.0021141535],"category_scores_gemma":[0.0032812033,0.00040343654,0.00036211527,0.00024045481,0.00063673564,0.00049732084,0.0006562055,0.0011082682,0.00017793913],"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":[0.00006460878,0.000045721998,0.00032607635,0.000021335158,0.000011642337,0.000026235512,0.000016858758,0.9904184,0.00025946816,0.0010993632,0.00026185956,0.0074484386],"study_design_scores_gemma":[0.0000060422217,0.000014278314,0.000039991857,0.0000010664444,0.0000019578918,0.000001590421,0.0000017462394,0.9995635,0.000044119144,0.0002951649,0.000029414783,0.000001092949],"about_ca_topic_score_codex":0.014697162,"about_ca_topic_score_gemma":0.009457002,"teacher_disagreement_score":0.014697162,"about_ca_system_score_codex":0.000945966,"about_ca_system_score_gemma":0.0015657352,"threshold_uncertainty_score":0.029223263},"labels":[],"label_agreement":null},{"id":"W3132586917","doi":"10.1109/tits.2021.3058514","title":"Decentralized Quality of Service Based System for Energy Trading Among Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University","keywords":"Quality of service; Computer science; Mobile QoS; Service provider; Metric (unit); Quality (philosophy); Computer network; Service (business); Computer security; Risk analysis (engineering); Business; Engineering; Operations management","score_opus":0.01981340961951151,"score_gpt":0.23789525587484814,"score_spread":0.21808184625533664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132586917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046989102,0.0002502195,0.94154227,0.00034815518,0.00013883304,0.00020271257,0.00006969429,0.0014585811,0.009000406],"genre_scores_gemma":[0.9530759,0.00009324577,0.044003192,0.000088446286,0.000051769814,0.00012609089,0.00008103828,0.000019467894,0.0024609512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992872,0.00015635064,0.00004776358,0.00017325164,0.000260912,0.00007460312],"domain_scores_gemma":[0.99943274,0.00013284548,0.000105022285,0.00007827896,0.00019577141,0.0000553626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008470422,0.00040405046,0.0005806689,0.0003995466,0.00074128516,0.0012678354,0.0014941713,0.0006850202,0.0028777174],"category_scores_gemma":[0.0012052354,0.00017213705,0.00028968154,0.0004735687,0.0004765822,0.0010231297,0.0009880979,0.00062177074,0.00048080314],"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":[0.0009556402,0.00052525813,0.005044373,0.00028975756,0.00015462618,0.00089478475,0.00044144443,0.5427694,0.05341182,0.108531855,0.008866742,0.2781143],"study_design_scores_gemma":[0.000047541354,0.00010129029,0.00035597052,0.0000057494135,0.00001768657,0.00010630428,0.000030596133,0.98599917,0.0023613297,0.007647185,0.003311817,0.000015429576],"about_ca_topic_score_codex":0.001943889,"about_ca_topic_score_gemma":0.0020110481,"teacher_disagreement_score":0.0028777174,"about_ca_system_score_codex":0.00092575926,"about_ca_system_score_gemma":0.00096263434,"threshold_uncertainty_score":0.009626925},"labels":[],"label_agreement":null},{"id":"W3134573681","doi":"10.1109/tsg.2020.3024148","title":"A Three-Layer Stochastic Energy Management Approach for Electric Bus Transit Centers With PV and Energy Storage Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Voltage; Energy storage; Energy management; Minification; Automotive engineering; Stochastic programming; Energy management system; Engineering; Computer science; Electrical engineering; Energy (signal processing); Power (physics); Mathematical optimization","score_opus":0.008512147690252119,"score_gpt":0.1679609347097228,"score_spread":0.15944878701947066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134573681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02654905,0.0002588328,0.9696212,0.00019487945,0.0000296531,0.000060676863,0.00005517983,0.00019181568,0.0030387254],"genre_scores_gemma":[0.94721663,0.00023103581,0.049923606,0.00007508858,0.000037492,0.00010049678,0.00007353469,0.0000442716,0.0022979155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994116,0.00018073994,0.00002868746,0.0001267625,0.00013322251,0.00011899368],"domain_scores_gemma":[0.99968445,0.00011968876,0.000067808076,0.000017371443,0.00008106189,0.000029668872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007642585,0.0012204075,0.0010352416,0.0004006321,0.00058017217,0.0014677129,0.0013506641,0.00085451815,0.0021252988],"category_scores_gemma":[0.0008870748,0.0007395962,0.0009872359,0.00051927665,0.00047332366,0.0011026516,0.00109175,0.0008576657,0.00020314263],"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":[0.000026750651,0.000018196368,0.00024504075,0.000028056133,0.000023929488,0.000058220045,0.00001947763,0.99009776,0.0010950668,0.00221291,0.00019066219,0.0059839445],"study_design_scores_gemma":[0.0000025459647,0.000014492717,0.00004459293,0.0000011709253,0.0000048946586,0.0000049946634,0.0000049292103,0.9992865,0.000114489325,0.00044512175,0.00007388667,0.0000023845837],"about_ca_topic_score_codex":0.011244996,"about_ca_topic_score_gemma":0.010974478,"teacher_disagreement_score":0.011244996,"about_ca_system_score_codex":0.0011330761,"about_ca_system_score_gemma":0.001400259,"threshold_uncertainty_score":0.022359073},"labels":[],"label_agreement":null},{"id":"W3134754307","doi":"10.1109/tii.2021.3064368","title":"A Self-Optimizing Scheduling Model for Large-Scale EV Fleets in Microgrids","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Microgrid; Scheduling (production processes); Software deployment; Computer science; Smart grid; Grid; Photovoltaic system; Electricity; Cluster analysis; Distributed computing; Real-time computing; Mathematical optimization; Engineering; Renewable energy; Electrical engineering","score_opus":0.02069294490985594,"score_gpt":0.23011155455633298,"score_spread":0.20941860964647704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134754307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095492035,0.00030292466,0.89100945,0.00042916226,0.00008777687,0.00012339756,0.00035229113,0.00038238888,0.0118205715],"genre_scores_gemma":[0.96811855,0.00020614504,0.024568329,0.000047207253,0.00002524948,0.00014275016,0.00019652254,0.00005991747,0.0066353153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997179,0.00008656969,0.000012934983,0.00006909655,0.000048895316,0.00006451327],"domain_scores_gemma":[0.9996152,0.00014571259,0.00007750754,0.000022039485,0.000093510855,0.000046010424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006928668,0.0007508586,0.00080417213,0.00035560757,0.0005332052,0.0009417183,0.0012059704,0.00090267626,0.0026177308],"category_scores_gemma":[0.0013058354,0.00052385934,0.0006144324,0.00049375655,0.00055090926,0.0007036015,0.00070124085,0.0008862852,0.00036787387],"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":[0.0000055231435,0.0000033693013,0.00007884246,0.0000042629426,0.0000023778566,0.00000974251,0.0000061062265,0.9983156,0.00007436935,0.00084626477,0.000086892695,0.00056679366],"study_design_scores_gemma":[0.0000016655972,0.0000036407303,0.000032054766,6.6629383e-7,0.0000010211523,0.0000013103979,0.000003814594,0.9995783,0.000017289147,0.00029647915,0.000062774845,9.446925e-7],"about_ca_topic_score_codex":0.025879115,"about_ca_topic_score_gemma":0.014634134,"teacher_disagreement_score":0.025879115,"about_ca_system_score_codex":0.0011369317,"about_ca_system_score_gemma":0.0013896073,"threshold_uncertainty_score":0.051456988},"labels":[],"label_agreement":null},{"id":"W3134803699","doi":"10.1109/icjece.2020.3008689","title":"A New Framework for Plug-In Electric Vehicle Charging Models Supported by Solar Photovoltaic Energy Resources Un nouveau cadre pour les modèles de recharge du véhicule électrique rechargeable supporté par des ressources d’énergie solaire photovoltaïque","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Taibah University","keywords":"Photovoltaic system; Electric vehicle; Environmental science; Work (physics); Automotive engineering; Solar Resource; Computer science; Solar energy; Stochastic modelling; Energy demand; Simulation; Engineering; Environmental economics; Electrical engineering; Physics; Mathematics; Mechanical engineering; Power (physics); Statistics","score_opus":0.007104044169213873,"score_gpt":0.17585139233287886,"score_spread":0.168747348163665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134803699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011841388,0.00039258657,0.97959924,0.0004980646,0.00008640051,0.000056299577,0.00027585664,0.000120414734,0.007129828],"genre_scores_gemma":[0.8441246,0.002095079,0.124935366,0.00025857612,0.00030018738,0.00049475353,0.00067648623,0.0001672789,0.026947666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996172,0.00014269995,0.00001929437,0.00007186148,0.00009387918,0.000054954064],"domain_scores_gemma":[0.9995981,0.00021116048,0.00004774965,0.000024379438,0.000087898115,0.000030616364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583995,0.00083180756,0.000871166,0.00053572486,0.0005071024,0.0012909485,0.0019740344,0.0010949242,0.0031466568],"category_scores_gemma":[0.0015719502,0.0005564242,0.0013234201,0.00066448597,0.00064864336,0.0013428401,0.0010489844,0.001372961,0.00042940228],"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":[0.0000059839026,0.000012792763,0.00019178451,0.000017721028,0.000013820789,0.000041293933,0.0000243051,0.968136,0.00021490689,0.029195393,0.00032379862,0.0018222091],"study_design_scores_gemma":[0.0000034454722,0.0000056143244,0.000036573492,0.000003465277,0.0000039515985,0.000006316269,0.0000063958446,0.99351305,0.000031998505,0.005553313,0.0008327979,0.0000031192149],"about_ca_topic_score_codex":0.020865733,"about_ca_topic_score_gemma":0.01387927,"teacher_disagreement_score":0.020865733,"about_ca_system_score_codex":0.0012300654,"about_ca_system_score_gemma":0.0018228906,"threshold_uncertainty_score":0.041488588},"labels":[],"label_agreement":null},{"id":"W3134935879","doi":"10.3390/en14051438","title":"How Much Polish Consumers Know about Alternative Fuel Vehicles? Impact of Knowledge on the Willingness to Buy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki","keywords":"Alternative fuel vehicle; Purchasing; Quarter (Canadian coin); Automotive industry; Business; Electric vehicle; Willingness to pay; Marketing; Empirical evidence; Battery electric vehicle; Purchasing power; Environmental economics; Alternative fuels; Engineering; Power (physics); Economics; Automotive engineering","score_opus":0.008383433248210854,"score_gpt":0.2341690607116361,"score_spread":0.22578562746342523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134935879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828595,0.00008986341,0.000032075997,0.00011447083,0.0000020291686,0.0000045403676,0.00008648907,8.6193376e-7,0.0013838052],"genre_scores_gemma":[0.99933064,0.000100529694,0.000019375859,0.000035849003,0.000002085212,0.0000031112593,0.000082645936,8.926727e-7,0.00042499218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996691,0.00005918088,0.000032185842,0.000051860654,0.00009785121,0.00008992641],"domain_scores_gemma":[0.9985506,0.0005216699,0.00049949234,0.00007059718,0.00018013667,0.00017759879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006442466,0.00015882056,0.00027346995,0.0005939906,0.00034495117,0.0014616221,0.00017763196,0.00043730086,0.00639678],"category_scores_gemma":[0.0031062209,0.00020421151,0.00044254653,0.0007713344,0.0004592133,0.0010245977,0.00051674317,0.0007031183,0.0008069621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023552535,0.0002582183,0.9798956,0.00005209568,0.00010158504,0.00020955273,0.0051030577,0.00008382681,0.0004511045,0.00022188424,0.00028857778,0.013099001],"study_design_scores_gemma":[0.0000069023167,0.00010361234,0.98808414,0.000020393707,0.00005040761,0.00012909023,0.010036335,0.00022216311,0.00014880928,0.00014928234,0.0010400944,0.000008754318],"about_ca_topic_score_codex":0.010296636,"about_ca_topic_score_gemma":0.008280976,"teacher_disagreement_score":0.010296636,"about_ca_system_score_codex":0.0004420263,"about_ca_system_score_gemma":0.00029090067,"threshold_uncertainty_score":0.02139932},"labels":[],"label_agreement":null},{"id":"W3135019271","doi":"10.1109/tsg.2020.3031137","title":"Correction to “Integrating EV Charging Stations as Smart Loads for Demand Response Provisions in Distribution Systems” [Mar 18 1096-1106]","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Demand response; Work (physics); Operations research; Computer science; Distribution (mathematics); Mathematical economics; Environmental economics; Econometrics; Economics; Engineering; Electrical engineering; Mathematics; Mechanical engineering; Electricity","score_opus":0.008946183356246236,"score_gpt":0.23970111031860716,"score_spread":0.23075492696236094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135019271","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001256066,0.001220259,0.0013392217,0.062343836,0.9238169,0.000033094617,0.0018266785,0.0008330165,0.008461257],"genre_scores_gemma":[0.012717437,0.0073850458,0.0066326098,0.20954064,0.3940588,0.0003932484,0.0044987258,0.0029676969,0.3618057],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941403,0.00086483214,0.0007732841,0.00083704136,0.0027621523,0.00062234636],"domain_scores_gemma":[0.96703655,0.0056151766,0.0016480329,0.0016758225,0.023045616,0.000978856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033876912,0.0037650706,0.0020874466,0.0041875895,0.0055253045,0.0059877695,0.0037935185,0.010099726,0.038711026],"category_scores_gemma":[0.042122327,0.0016392134,0.0023252643,0.0037849937,0.0032684184,0.0036885133,0.002340166,0.021298029,0.04811985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001825854,0.0000031190152,0.000026272774,0.000056990044,0.0000043800233,0.0000415279,0.000034206987,0.000032452877,0.00003555245,0.0011653915,0.996906,0.0016757776],"study_design_scores_gemma":[0.000034779085,0.00001439755,0.00057403307,0.00021900979,0.000015485182,0.00009253863,0.00007400153,0.00022762059,0.00017747357,0.0018525402,0.99668425,0.000033866963],"about_ca_topic_score_codex":0.07603998,"about_ca_topic_score_gemma":0.07887688,"teacher_disagreement_score":0.07603998,"about_ca_system_score_codex":0.005755928,"about_ca_system_score_gemma":0.00857423,"threshold_uncertainty_score":0.15119475},"labels":[],"label_agreement":null},{"id":"W3137429244","doi":"10.1007/978-3-030-62191-9_22","title":"Optimal Integration of Electric Vehicles in Smart Grid Energy Flow","year":2021,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Electric Vehicles and Infrastructure","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":"Northern Alberta Institute of Technology","funders":"","keywords":"Grid; Photovoltaic system; Renewable energy; Engineering; Electrical engineering; Computer science; Geography","score_opus":0.005683575732661835,"score_gpt":0.17623424892936573,"score_spread":0.1705506731967039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137429244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011929461,0.014140544,0.6151451,0.0015245958,0.0012822906,0.000041151838,0.0001444624,0.0002397196,0.35555276],"genre_scores_gemma":[0.6190645,0.024826717,0.11788556,0.00044835382,0.0008084666,0.000106299674,0.00021897958,0.0003498066,0.23629132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987733,0.000031725805,0.0000039830793,0.000021605596,0.00005182557,0.000013593225],"domain_scores_gemma":[0.9999529,0.000021400514,0.000004425014,0.0000062425147,0.000011351731,0.000003701655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019809521,0.00063886924,0.00054545363,0.00023055355,0.00022167897,0.0011541783,0.0005535104,0.0005649716,0.0075932215],"category_scores_gemma":[0.0004342735,0.00039891692,0.0003277336,0.0007207752,0.0004969453,0.0014428186,0.0006032254,0.0010095913,0.0011666368],"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":[0.000038471593,0.00004419658,0.00012143708,0.00012540237,0.000018688346,0.000040087194,0.000035280704,0.28481832,0.0014214402,0.605054,0.011196469,0.097086184],"study_design_scores_gemma":[0.000010604815,0.00004121328,0.00020761568,0.00009479068,0.000019734747,0.000061046056,0.000052464937,0.39997703,0.0013298818,0.5232374,0.07495391,0.00001421869],"about_ca_topic_score_codex":0.0015226593,"about_ca_topic_score_gemma":0.0024494065,"teacher_disagreement_score":0.0075932215,"about_ca_system_score_codex":0.00077909126,"about_ca_system_score_gemma":0.00050383,"threshold_uncertainty_score":0.02540183},"labels":[],"label_agreement":null},{"id":"W3148506025","doi":"","title":"Plug-in Hybrid Vehicle GHG Impacts in California: Integrating Consumer-Informed Recharge Profiles with an Electricity-Dispatch Model","year":2010,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Social Sciences and Humanities Research Council of Canada; University of California, Davis; California Energy Commission","keywords":"Greenhouse gas; Electricity; Mains electricity; Environmental science; Environmental economics; Grid; Environmental engineering; Automotive engineering; Engineering; Economics","score_opus":0.009148079199525535,"score_gpt":0.21074757445359044,"score_spread":0.2015994952540649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148506025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9131371,0.00048041283,0.045077983,0.0013440497,0.000058610764,0.00015734631,0.0047695297,0.0005407269,0.03443436],"genre_scores_gemma":[0.9895867,0.00016611365,0.004340719,0.000046842844,0.000010219915,0.000054681437,0.00094122626,0.000038715156,0.0048147487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997726,0.00007580732,0.000009165835,0.0000691244,0.00003379586,0.000039395774],"domain_scores_gemma":[0.9994523,0.00034408647,0.000056378805,0.000025104535,0.00007803124,0.000044137672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071526616,0.0008994576,0.00071448926,0.0005577727,0.0004691379,0.0013385492,0.0013636708,0.0011022557,0.0043207314],"category_scores_gemma":[0.001340999,0.0008995317,0.00064387737,0.00067239767,0.0005430989,0.00096584606,0.00066820224,0.0010511366,0.00028554405],"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":[0.000021877695,0.000015652962,0.00072424003,0.000005945627,0.0000058328083,0.000014252837,0.000006616375,0.99767154,0.00003203517,0.0007150846,0.0002404584,0.0005465151],"study_design_scores_gemma":[0.000019380968,0.000010300381,0.0005361514,0.0000020196487,0.0000060500583,0.0000023997059,0.000013499922,0.99845076,0.000029709989,0.00070493325,0.00021932054,0.0000054802927],"about_ca_topic_score_codex":0.30730474,"about_ca_topic_score_gemma":0.1894392,"teacher_disagreement_score":0.30730474,"about_ca_system_score_codex":0.003565181,"about_ca_system_score_gemma":0.0016889402,"threshold_uncertainty_score":0.61103207},"labels":[],"label_agreement":null},{"id":"W3149152309","doi":"10.1145/3437258","title":"A Tale of Two Entities","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Internet of Things","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Thales (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blackout; Software deployment; Computer security; Adversary; Resilience (materials science); Computer science; Exploit; Smart grid; Electric power system; Bottleneck; Electric vehicle; Grid; Power (physics); Telecommunications; Engineering; Electrical engineering","score_opus":0.0061106019093811696,"score_gpt":0.21107970417020336,"score_spread":0.20496910226082218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149152309","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0172431,0.0031937538,0.109170236,0.09892055,0.006651189,0.00062871317,0.0004349548,0.0019322598,0.76182526],"genre_scores_gemma":[0.2808565,0.0026470164,0.051640328,0.031317435,0.001779806,0.0006400522,0.00096490566,0.00066525774,0.6294887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947667,0.0018515364,0.00022590904,0.0010480854,0.0011737383,0.0009340489],"domain_scores_gemma":[0.99570435,0.0004549721,0.0002488177,0.0008397101,0.0009874916,0.0017647882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002702154,0.00094644376,0.00058503397,0.001205477,0.007458963,0.010479083,0.002630927,0.0050076894,0.08181621],"category_scores_gemma":[0.0068087764,0.00062241824,0.00062243274,0.0012352779,0.0069404356,0.012667149,0.0167897,0.0055065835,0.031158397],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015540293,0.00017102051,0.0021577978,0.0002686874,0.00006108442,0.0015928069,0.008718903,0.00072531763,0.0022726285,0.7069091,0.18985754,0.087109745],"study_design_scores_gemma":[0.000016470442,0.00004864483,0.00040513187,0.0001694507,0.000019760026,0.0005609523,0.0038210382,0.0007802757,0.0003637159,0.05200076,0.94177276,0.000041125695],"about_ca_topic_score_codex":0.00631158,"about_ca_topic_score_gemma":0.0035181923,"teacher_disagreement_score":0.08181621,"about_ca_system_score_codex":0.0029979455,"about_ca_system_score_gemma":0.0044431016,"threshold_uncertainty_score":0.2737025},"labels":[],"label_agreement":null},{"id":"W3154798196","doi":"10.1109/access.2021.3070485","title":"Profit Maximization for EVSEs-Based Renewable Energy Sources in Smart Cities With Different Arrival Rate Scenarios","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Profit maximization; Renewable energy; Maximization; Profit (economics); Computer science; Electricity; Grid; MATLAB; Smart grid; Environmental economics; Grid connection; Mathematical optimization; Automotive engineering; Photovoltaic system; Electrical engineering; Microeconomics; Economics; Engineering; Mathematics","score_opus":0.01098887902443017,"score_gpt":0.21464783179815167,"score_spread":0.2036589527737215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154798196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20021369,0.0010730873,0.7758993,0.0011532133,0.00008764638,0.00012729969,0.0003492134,0.00021287524,0.020883717],"genre_scores_gemma":[0.9890205,0.00024586366,0.007516224,0.0000351296,0.00001578619,0.000038572754,0.000050529346,0.000023577164,0.0030538973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936,0.0002456987,0.000014797375,0.00012738466,0.00007601337,0.00017611183],"domain_scores_gemma":[0.9993418,0.00039505167,0.000101392274,0.000022627408,0.00008788731,0.00005117624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090410735,0.00082883186,0.00095848995,0.0003808126,0.0004781694,0.001352018,0.0009223894,0.00092893647,0.0023511762],"category_scores_gemma":[0.001668675,0.00044845775,0.00075115706,0.00062993384,0.0006556242,0.0013506383,0.0008645477,0.00083075685,0.00021790396],"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":[0.000037932983,0.000021033282,0.00032547436,0.000027124972,0.00001309091,0.00008743798,0.000019880856,0.9870864,0.00055735407,0.008549574,0.00037519576,0.0028994998],"study_design_scores_gemma":[0.000003972061,0.000010511227,0.00011232043,0.000002614359,0.0000043343025,0.000012920489,0.00002117577,0.9970771,0.00012075774,0.002476073,0.00015477427,0.0000034716375],"about_ca_topic_score_codex":0.005300829,"about_ca_topic_score_gemma":0.004997647,"teacher_disagreement_score":0.005300829,"about_ca_system_score_codex":0.0019203421,"about_ca_system_score_gemma":0.0010338485,"threshold_uncertainty_score":0.013933122},"labels":[],"label_agreement":null},{"id":"W3156573216","doi":"10.3233/jid200007","title":"An Incentive-Compatible Combinatorial Auction Design for Charging Network Scheduling of Battery Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"Journal of Integrated Design and Process Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Payment; Scheduling (production processes); Reservation; Incentive; Charging station; Electric vehicle; Operations research; Incentive compatibility; Combinatorial auction; Mathematical optimization; Common value auction; Computer network; Microeconomics; Economics; Engineering","score_opus":0.013394303022212345,"score_gpt":0.24656936394562265,"score_spread":0.2331750609234103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156573216","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014078672,0.00010441846,0.981355,0.00014316151,0.00003745306,0.0001929755,0.000048952083,0.000066946006,0.003972411],"genre_scores_gemma":[0.7460041,0.00029655953,0.24793288,0.00010996253,0.000054206474,0.00039244877,0.00011103687,0.00005608265,0.0050426223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984297,0.00077082164,0.00006216636,0.00024007243,0.00032644896,0.00017072167],"domain_scores_gemma":[0.9987979,0.0005462513,0.00020416708,0.00008729774,0.00023139684,0.00013296965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026053565,0.0009271177,0.0012816937,0.00057461223,0.0005781818,0.0018024019,0.0021330533,0.0010276258,0.0024344143],"category_scores_gemma":[0.0035390684,0.0006635079,0.0007193869,0.0009575726,0.0008203287,0.0013896001,0.0009301525,0.0012210511,0.00034467326],"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":[0.00009518463,0.00013718368,0.00043615475,0.00015545022,0.000047444017,0.00021204734,0.00010987953,0.9192485,0.0027617167,0.05142856,0.0014860625,0.02388172],"study_design_scores_gemma":[0.000023543058,0.000044991484,0.000071231174,0.0000052400774,0.00000975433,0.000036490645,0.000018739935,0.99105823,0.0002702959,0.0076709273,0.00078244676,0.0000081306935],"about_ca_topic_score_codex":0.00203984,"about_ca_topic_score_gemma":0.0026722348,"teacher_disagreement_score":0.0026053565,"about_ca_system_score_codex":0.001298726,"about_ca_system_score_gemma":0.0026479368,"threshold_uncertainty_score":0.013778627},"labels":[],"label_agreement":null},{"id":"W3157095728","doi":"10.1109/powertech46648.2021.9494792","title":"Residential Battery Energy Storage Sizing and Profitability in the Presence of PV and EV","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Interreg; Queen's University; Queen's University Belfast; European Commission","keywords":"Sizing; Profitability index; Photovoltaic system; Subsidy; Tariff; Electricity; Battery (electricity); Capital cost; Environmental economics; Energy storage; Automotive engineering; Work (physics); Reliability engineering; Computer science; Business; Environmental science; Engineering; Economics; Electrical engineering; Finance; Power (physics)","score_opus":0.004637496730162577,"score_gpt":0.18799217717545375,"score_spread":0.18335468044529116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157095728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682796,0.00010471254,0.025725333,0.00007691754,0.000005293263,0.00001284867,0.000064402106,0.00005691548,0.0056739617],"genre_scores_gemma":[0.99632996,0.000027559528,0.00305446,0.0000032774772,9.67037e-7,0.0000021961216,0.000030973722,0.0000051618144,0.00054541935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999019,0.000026607791,0.0000056918125,0.000016355201,0.000030200852,0.000019244488],"domain_scores_gemma":[0.99967134,0.00018392783,0.000053521144,0.000017440085,0.000063415355,0.000010416564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027798378,0.00024100015,0.00023800168,0.00019412133,0.00013529793,0.0005404016,0.00020925906,0.00023456909,0.00084255],"category_scores_gemma":[0.0009260358,0.00013825066,0.00013157318,0.00032631474,0.00017447861,0.00050731417,0.0001731113,0.00015643606,0.00015857542],"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":[0.00018780024,0.00003417038,0.009632618,0.000035671455,0.00001717605,0.00015421824,0.0000340908,0.947162,0.009297419,0.0018173405,0.00040254567,0.031224942],"study_design_scores_gemma":[0.0000061804544,0.000098676246,0.006717678,0.0000047786098,0.000015860607,0.000081187296,0.000076072276,0.9841069,0.007552467,0.00095398404,0.00037858862,0.000007670808],"about_ca_topic_score_codex":0.0044215447,"about_ca_topic_score_gemma":0.010714637,"teacher_disagreement_score":0.0044215447,"about_ca_system_score_codex":0.0006349697,"about_ca_system_score_gemma":0.00041258763,"threshold_uncertainty_score":0.008791566},"labels":[],"label_agreement":null},{"id":"W3157339165","doi":"10.3390/en14092530","title":"Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; National Research Council Canada","funders":"Transport Canada","keywords":"Microgrid; Vehicle-to-grid; State of charge; Automatic frequency control; Frequency deviation; Grid; Renewable energy; Electronic stability control; Automotive engineering; MATLAB; Electric vehicle; Engineering; Computer science; Electrical engineering; Battery (electricity); Power (physics)","score_opus":0.004846798771176247,"score_gpt":0.19903604531947153,"score_spread":0.19418924654829528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157339165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45346987,0.00019239791,0.5242145,0.00023841542,0.000108535154,0.00028073537,0.00031324566,0.0008360111,0.020346286],"genre_scores_gemma":[0.9938148,0.000016282758,0.0057163225,0.0000069980592,0.0000016006279,0.000051412884,0.000041026888,0.000006438368,0.00034500705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961424,0.00011679073,0.000016453294,0.00006383598,0.00012980145,0.000058859234],"domain_scores_gemma":[0.9992594,0.00023498913,0.00007332858,0.000094691364,0.00031038452,0.000027067661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007463639,0.0004970976,0.00045253968,0.0003146485,0.00037905198,0.0006901083,0.00069834385,0.00041474882,0.0013783147],"category_scores_gemma":[0.0015292168,0.00016284242,0.00045743975,0.00020415407,0.00035912704,0.00044217336,0.00042471493,0.00060550985,0.00019486924],"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":[0.0000528349,0.000031092368,0.0005632214,0.000030925432,0.000010141862,0.000043275188,0.000034732217,0.99197817,0.0015894443,0.001606069,0.00014267354,0.0039173295],"study_design_scores_gemma":[0.000017304481,0.00010161527,0.0002808324,0.0000039490797,0.0000059217728,0.000006180909,0.000016505925,0.99748373,0.0015312699,0.00028829966,0.00026091846,0.0000034823993],"about_ca_topic_score_codex":0.022392364,"about_ca_topic_score_gemma":0.007758781,"teacher_disagreement_score":0.022392364,"about_ca_system_score_codex":0.00078482146,"about_ca_system_score_gemma":0.0012058762,"threshold_uncertainty_score":0.044524074},"labels":[],"label_agreement":null},{"id":"W3158690777","doi":"10.24840/2183-0606_009.001_0005","title":"Innovation cognizance and acceptance: The case of electric vehicles adoption in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Innovation Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Promotion (chess); Electric vehicle; Marketing; Order (exchange); Work (physics); Business; Government (linguistics); Automotive industry; Probit; Multivariate probit model; Ordered probit; Probit model; Economics; Econometrics; Engineering; Political science; Finance","score_opus":0.007030044364973514,"score_gpt":0.20258593732148777,"score_spread":0.19555589295651427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158690777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98702776,0.00031036336,0.00012843357,0.0016622299,0.000010141659,0.00005372459,0.00015649524,0.0000047703393,0.010646076],"genre_scores_gemma":[0.9977836,0.00024842465,0.00011470253,0.00010920969,0.0000037310533,0.0000147463315,0.00007362569,0.0000031350194,0.0016489559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962457,0.00056737487,0.00012912147,0.0002707779,0.0012662954,0.0015207736],"domain_scores_gemma":[0.9862975,0.002859707,0.001633627,0.00045360567,0.005855973,0.0028995788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028173125,0.00029754484,0.0005874898,0.0021516904,0.010101852,0.0040904386,0.0017389562,0.0010920065,0.0034169497],"category_scores_gemma":[0.011007274,0.0003390483,0.00062244164,0.0056909667,0.0039633336,0.0016296353,0.0025257608,0.002086018,0.00018716621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001574118,0.0003392846,0.8621707,0.000092131595,0.000053555133,0.0013485111,0.10210929,0.000570756,0.0004825804,0.0076600993,0.0021418675,0.022873772],"study_design_scores_gemma":[0.000029283436,0.000078141384,0.85369146,0.00012201513,0.0000509531,0.0001881781,0.1347349,0.0017505185,0.00016170855,0.0007461286,0.008383883,0.00006295367],"about_ca_topic_score_codex":0.99820805,"about_ca_topic_score_gemma":0.99869484,"teacher_disagreement_score":0.10659746,"about_ca_system_score_codex":0.10659746,"about_ca_system_score_gemma":0.1427658,"threshold_uncertainty_score":0.77342236},"labels":[],"label_agreement":null},{"id":"W3158807423","doi":"10.1155/2021/6664115","title":"Layout Methods for Integrated Energy Supply Service Stations from the Perspective of Combination Optimization","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Nanjing Forestry University","keywords":"Energy supply; Computer science; Service (business); Perspective (graphical); Energy (signal processing); Plan (archaeology); Operations research; Rationality; Engineering; Business","score_opus":0.005779638938915523,"score_gpt":0.26100106255378996,"score_spread":0.25522142361487443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158807423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026308857,0.00008899276,0.9948068,0.000033546254,0.000012287016,0.000034319255,0.00003082949,0.00008666223,0.0022757347],"genre_scores_gemma":[0.18555187,0.000584995,0.80823344,0.00005050136,0.000042644915,0.00040083757,0.00024182559,0.00023383192,0.0046600187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933124,0.00031893433,0.000024881294,0.00010879794,0.00015363556,0.00006253791],"domain_scores_gemma":[0.99944776,0.00028282014,0.0000698645,0.000043942007,0.00012889595,0.000026713145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042447,0.0013381081,0.0009831247,0.0014370237,0.0005541787,0.0011050801,0.0010914551,0.00076127617,0.0055253487],"category_scores_gemma":[0.0018204438,0.0007908251,0.0015954883,0.0019421062,0.0006825269,0.0013218939,0.0010846825,0.0010173029,0.00066836306],"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":[0.000032397846,0.000038301627,0.00047791432,0.000093141905,0.000039587914,0.000037232872,0.00007418092,0.92523265,0.0013096214,0.027270397,0.0010440301,0.044350486],"study_design_scores_gemma":[0.000013101223,0.00004413107,0.000112898306,0.000010142647,0.000018657707,0.000021278183,0.00003518335,0.98563,0.00042129724,0.011093947,0.0025888425,0.000010588204],"about_ca_topic_score_codex":0.004818349,"about_ca_topic_score_gemma":0.0056719626,"teacher_disagreement_score":0.0055253487,"about_ca_system_score_codex":0.0012893928,"about_ca_system_score_gemma":0.001448334,"threshold_uncertainty_score":0.018484116},"labels":[],"label_agreement":null},{"id":"W3160359874","doi":"10.3390/en14102969","title":"A Mobile Energy Storage Unit Serving Multiple EV Charging Stations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 Windsor","funders":"American University of Sharjah","keywords":"Energy storage; Unit (ring theory); Grid; Integer programming; Linear programming; Automotive engineering; Computer science; Power (physics); Electric power system; Electrical engineering; Reliability engineering; Engineering","score_opus":0.006181646844175825,"score_gpt":0.19524017646746616,"score_spread":0.18905852962329034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160359874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80829185,0.0005473986,0.17493817,0.00051538495,0.00023047617,0.00023644452,0.00031219324,0.0011773193,0.01375075],"genre_scores_gemma":[0.99043137,0.000044863824,0.006605274,0.00002042475,0.000013762732,0.00003620648,0.00003631676,0.0000040125356,0.0028077073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000031324227,0.0000111377885,0.00004345526,0.000028139626,0.000030078081],"domain_scores_gemma":[0.9998939,0.000020768379,0.000016367334,0.000013755392,0.000026578642,0.000028695638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015180038,0.0005270811,0.0005959009,0.00029680115,0.00064005674,0.0006357242,0.0010420509,0.00070158514,0.0031027324],"category_scores_gemma":[0.00014346998,0.00017474333,0.00039360407,0.00037877331,0.00030264488,0.0005015946,0.0006390882,0.00031210567,0.00047126622],"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":[0.0024939373,0.00040830395,0.009792168,0.0005025926,0.00014888565,0.0048387754,0.00028392067,0.7431158,0.09312646,0.009021944,0.0050061005,0.13126116],"study_design_scores_gemma":[0.00010894249,0.00081175467,0.0011883065,0.000012855827,0.000055998837,0.00048204203,0.0001282857,0.9798222,0.013181483,0.0010320151,0.0031442626,0.00003193101],"about_ca_topic_score_codex":0.0026089374,"about_ca_topic_score_gemma":0.0026929074,"teacher_disagreement_score":0.0031027324,"about_ca_system_score_codex":0.000478313,"about_ca_system_score_gemma":0.0005888012,"threshold_uncertainty_score":0.010379612},"labels":[],"label_agreement":null},{"id":"W3160691794","doi":"10.2172/1780970","title":"Comprehensive Total Cost of Ownership Quantification for Vehicles with Different Size Classes and Powertrains","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":152,"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":"Vehicle Technologies Office; Office of Energy Efficiency and Renewable Energy; Ballard Power Systems; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Depreciation (economics); Total cost of ownership; Truck; Purchasing; Business; Total cost; Order (exchange); Variable cost; Beneficiary; Powertrain; Finance; Economics; Automotive engineering; Engineering; Marketing; Accounting; Microeconomics","score_opus":0.030376524703202262,"score_gpt":0.2573105586401833,"score_spread":0.22693403393698106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160691794","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8263569,0.042568572,0.05018417,0.0005798165,0.000110929104,0.00050157076,0.018596783,0.00009706378,0.061004248],"genre_scores_gemma":[0.9638854,0.011008782,0.012624098,0.000053621134,0.000041069092,0.00016057609,0.009263943,0.000023435929,0.0029390447],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870217,0.00018515675,0.00010697049,0.00014958088,0.0007409696,0.00011514882],"domain_scores_gemma":[0.99630934,0.0013591354,0.00073196896,0.0001782687,0.0013522314,0.00006904299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014606697,0.0005141111,0.00051500695,0.010855491,0.00024211715,0.0018271732,0.00061170023,0.00037300537,0.0016703694],"category_scores_gemma":[0.0053506154,0.00020705009,0.0010883829,0.007258945,0.00026924958,0.003386885,0.00071117445,0.00032647065,0.00018867238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018509717,0.00022714857,0.18606892,0.004844235,0.001127028,0.00067104376,0.0011848868,0.1528168,0.003068188,0.06413572,0.011566683,0.57410425],"study_design_scores_gemma":[0.000027355505,0.00079102843,0.62028384,0.0048529715,0.002028709,0.0018260673,0.008657399,0.15184,0.008506011,0.039193608,0.16166255,0.00033041078],"about_ca_topic_score_codex":0.011691225,"about_ca_topic_score_gemma":0.015158444,"teacher_disagreement_score":0.011691225,"about_ca_system_score_codex":0.0015924779,"about_ca_system_score_gemma":0.0012181266,"threshold_uncertainty_score":0.023246348},"labels":[],"label_agreement":null},{"id":"W3161062196","doi":"10.5539/jms.v11n1p177","title":"Supply and Demand Relationship of Taxi Battery Exchange Based on Big Data: A Case Study of Beijing, China","year":2021,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Taxis; Beijing; Idle; Computer science; Flexibility (engineering); Power (physics); Mode (computer interface); Supply and demand; Transport engineering; Engineering; China; Economics","score_opus":0.016029780145265505,"score_gpt":0.23876992771456934,"score_spread":0.22274014756930383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161062196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964838,0.0000929813,0.0007343203,0.0003343248,0.000006100669,0.000030016176,0.00091530464,0.000028402705,0.0013748098],"genre_scores_gemma":[0.9978309,0.000092317176,0.0004932277,0.000026428714,0.0000058953055,0.000016315757,0.00094582065,0.0000071889244,0.00058181613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922645,0.0002486257,0.00006515882,0.00011378356,0.00017701804,0.00016900041],"domain_scores_gemma":[0.99829704,0.0007996248,0.00025893454,0.00016107276,0.00028312454,0.00020019524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011126142,0.00052884145,0.00043450063,0.0016989714,0.00089479936,0.0011205166,0.0013017054,0.00084423885,0.0017466415],"category_scores_gemma":[0.0023602927,0.00035539627,0.0006549656,0.0040208716,0.00081911875,0.0015388457,0.0009819074,0.0006168431,0.00022460068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040862622,0.0006215304,0.86414707,0.00027781323,0.00040884494,0.018649992,0.0032821002,0.07437298,0.0025320658,0.005358109,0.0056700953,0.024270808],"study_design_scores_gemma":[0.000070248934,0.00018750384,0.64588976,0.00004889012,0.00016225805,0.0014849845,0.0170533,0.32594234,0.0017329559,0.0026067449,0.004700906,0.00012004011],"about_ca_topic_score_codex":0.1402673,"about_ca_topic_score_gemma":0.16078793,"teacher_disagreement_score":0.1402673,"about_ca_system_score_codex":0.004111706,"about_ca_system_score_gemma":0.0015539335,"threshold_uncertainty_score":0.27890176},"labels":[],"label_agreement":null},{"id":"W3163798297","doi":"10.3390/en14102824","title":"A Prediction Model for Battery Electric Bus Energy Consumption in Transit","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Battery (electricity); HVAC; Automotive engineering; Transit (satellite); Regression analysis; State of charge; Energy (signal processing); Simulation; Engineering; Environmental science; Public transport; Transport engineering; Statistics; Air conditioning; Power (physics); Electrical engineering; Mathematics","score_opus":0.0102025222625206,"score_gpt":0.18883023497930543,"score_spread":0.17862771271678482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163798297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5427562,0.0003143534,0.4426879,0.00029995842,0.00007687284,0.00014375344,0.00177924,0.0015040878,0.010437651],"genre_scores_gemma":[0.989665,0.000095585456,0.0062461803,0.000010139009,0.0000065571703,0.000084472216,0.00052219676,0.00002212794,0.0033477566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998472,0.000027768932,0.000009195728,0.000056539593,0.000036441437,0.000022824395],"domain_scores_gemma":[0.99979955,0.000093000475,0.000028835688,0.000009943162,0.00006318104,0.000005490884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032258718,0.00064034807,0.0003823384,0.0002935782,0.000243666,0.0005460339,0.00059751014,0.00042244262,0.001993403],"category_scores_gemma":[0.00068872556,0.00028285428,0.00044921457,0.00031419017,0.00015211843,0.00043014358,0.00026948738,0.00057605037,0.00036455097],"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":[0.00003455295,0.000028626207,0.0016173893,0.000018848423,0.000009289387,0.000031974218,0.00001932857,0.9916442,0.0010553143,0.0005052407,0.00019893088,0.0048363153],"study_design_scores_gemma":[0.000001824683,0.000011772329,0.0003854587,0.0000010250616,0.0000033276613,0.0000034185932,0.000004305037,0.99920446,0.00019233275,0.00009306771,0.000097396645,0.0000016094266],"about_ca_topic_score_codex":0.028534932,"about_ca_topic_score_gemma":0.017449351,"teacher_disagreement_score":0.028534932,"about_ca_system_score_codex":0.00064625626,"about_ca_system_score_gemma":0.0006592086,"threshold_uncertainty_score":0.05673766},"labels":[],"label_agreement":null},{"id":"W3164177451","doi":"10.30574/ijsra.2021.2.2.0067","title":"Community knowledge towards electric vehicles and policy part II: A pilot study of Edmonton Height underserved neighborhood in Huntsville, Alabama","year":2021,"lang":"en","type":"article","venue":"International Journal of Science and Research Archive","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Incentive; Electricity; Plug-in; Business; Local government; Data collection; Environmental economics; Political science; Engineering; Public administration; Sociology; Economics; Computer science","score_opus":0.04440738791264348,"score_gpt":0.3373718385683662,"score_spread":0.29296445065572274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164177451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988211,0.00003682883,0.00002871106,0.00017588159,0.0000037034115,0.00008862085,0.00004932258,0.0000015838849,0.0007943626],"genre_scores_gemma":[0.9960199,0.0001949487,0.00023922727,0.0004114571,0.0000061647793,0.00031578908,0.000095680465,0.0000019667661,0.0027148984],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99945194,0.00017748369,0.000022524593,0.00007583606,0.00008066297,0.00019157502],"domain_scores_gemma":[0.9985775,0.000340102,0.0001387104,0.000051196923,0.00041973527,0.00047277243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011521786,0.00030214095,0.00033066145,0.00095590635,0.00489198,0.0013498932,0.0009204114,0.00070096226,0.0037129936],"category_scores_gemma":[0.0015732904,0.00041277806,0.0002359785,0.00070383056,0.0011580135,0.0008123705,0.0017169823,0.000958343,0.00032722004],"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":[0.00018751621,0.0056728744,0.34234712,0.0002633376,0.000045841472,0.0032505977,0.61392194,0.00014282239,0.0038514617,0.00055024854,0.0031280392,0.026638243],"study_design_scores_gemma":[0.000017797374,0.00072661776,0.22858997,0.00008412968,0.000018884453,0.00013929485,0.76659137,0.00013208385,0.00027791396,0.000067987894,0.0033384706,0.00001539098],"about_ca_topic_score_codex":0.38484263,"about_ca_topic_score_gemma":0.65428984,"teacher_disagreement_score":0.38484263,"about_ca_system_score_codex":0.0048421873,"about_ca_system_score_gemma":0.008180049,"threshold_uncertainty_score":0.7652052},"labels":[],"label_agreement":null},{"id":"W3164350518","doi":"10.1109/tte.2021.3083106","title":"Optimal Design of Battery Swapping-Based Electrified Public Bus Transit Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; McGill University","funders":"","keywords":"Battery (electricity); Schedule; HVAC; Automotive engineering; Transit (satellite); Public transport; Engineering; Power (physics); Computer science; Air conditioning; Transport engineering","score_opus":0.015800348302818876,"score_gpt":0.19879006738919355,"score_spread":0.18298971908637468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164350518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11815109,0.000586671,0.8524125,0.00052969373,0.00008106269,0.00027317388,0.0004896662,0.0003754118,0.027100734],"genre_scores_gemma":[0.9613255,0.0003471304,0.030444568,0.000066173394,0.000017372153,0.0002605362,0.00020212881,0.00005150813,0.007285001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995772,0.00016905008,0.000013365382,0.00007214598,0.00008038478,0.00008775097],"domain_scores_gemma":[0.99961984,0.00018589936,0.00006230905,0.000014877643,0.000079780126,0.000037347003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007731867,0.0013001054,0.0014042504,0.00058660796,0.0005214178,0.001809118,0.0010352974,0.001294741,0.0042213346],"category_scores_gemma":[0.0014711301,0.00095555204,0.0007588877,0.00058666477,0.00078526774,0.00088966504,0.0012113509,0.0008908377,0.0003092106],"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":[0.000016273792,0.0000069788216,0.000057709192,0.000015289284,0.0000070014335,0.000022542828,0.000009706245,0.9973435,0.00023802105,0.0009900384,0.00009714519,0.001195825],"study_design_scores_gemma":[0.000009071464,0.000021478576,0.00004304333,0.0000028593563,0.0000049099367,0.0000039778497,0.000012337473,0.99900824,0.00008254839,0.0005838853,0.00022534668,0.000002270595],"about_ca_topic_score_codex":0.012558051,"about_ca_topic_score_gemma":0.009296757,"teacher_disagreement_score":0.012558051,"about_ca_system_score_codex":0.0016883437,"about_ca_system_score_gemma":0.0019726118,"threshold_uncertainty_score":0.024969876},"labels":[],"label_agreement":null},{"id":"W3165076338","doi":"10.3390/su13115861","title":"Changing Technology or Behavior? The Impacts of a Behavioral Disruption","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Université de Sherbrooke","funders":"","keywords":"Electrification; Greenhouse gas; Environmental economics; Climate change; Business; Natural resource economics; Economics; Engineering; Ecology; Electricity","score_opus":0.00618204520269337,"score_gpt":0.26581395242066247,"score_spread":0.2596319072179691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165076338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95527315,0.00066043326,0.0035394724,0.0046422947,0.00008804634,0.000094906456,0.0008329,0.000029090092,0.034839783],"genre_scores_gemma":[0.99672145,0.00042060594,0.0005420545,0.000450605,0.000020203095,0.000025463421,0.00012048315,0.000006256914,0.001692957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993799,0.00029187178,0.000018531959,0.00007743463,0.000088497756,0.0001436552],"domain_scores_gemma":[0.9983222,0.0008257809,0.00039586576,0.00011903447,0.00012083822,0.00021640206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007609381,0.00025704884,0.0002558537,0.00032452555,0.0003241777,0.0013376226,0.0005069934,0.0007917922,0.007578733],"category_scores_gemma":[0.003394955,0.00012011987,0.00047285014,0.0005306587,0.0010585523,0.001302292,0.0005759828,0.00095352443,0.00033958314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009791737,0.002295965,0.7606598,0.0006358978,0.000743566,0.0010367187,0.00456309,0.06107268,0.0064214836,0.06999904,0.0049443096,0.086648285],"study_design_scores_gemma":[0.00005822128,0.001066597,0.87146074,0.00022060706,0.00036469597,0.00026567615,0.017930271,0.041934446,0.0017528309,0.038070142,0.02678124,0.00009450237],"about_ca_topic_score_codex":0.04001598,"about_ca_topic_score_gemma":0.04194889,"teacher_disagreement_score":0.04001598,"about_ca_system_score_codex":0.0014508333,"about_ca_system_score_gemma":0.001093146,"threshold_uncertainty_score":0.07956618},"labels":[],"label_agreement":null},{"id":"W3167071550","doi":"10.1002/int.22531","title":"Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique","year":2021,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Scheduling (production processes); Schedule; Exponential function; Renewable energy; Electric vehicle; Mathematical optimization; Automotive engineering; Electrical engineering; Engineering; Mathematics","score_opus":0.0159643605403183,"score_gpt":0.25662334842883283,"score_spread":0.24065898788851453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167071550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038806904,0.00030654258,0.9556619,0.00013947014,0.00005552339,0.000051508425,0.000032125034,0.00012208793,0.004823917],"genre_scores_gemma":[0.9199991,0.00029360474,0.074997604,0.00007515052,0.000032555246,0.00010404681,0.000066794244,0.000041952568,0.00438908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999782,0.000059267317,0.000010010635,0.00004568159,0.000062621104,0.000040453437],"domain_scores_gemma":[0.99979323,0.000099624565,0.000028720622,0.000008486358,0.00005687453,0.00001312265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004844019,0.00054329407,0.0005896408,0.00040258653,0.00032194718,0.00051195355,0.00056649843,0.00042270045,0.0016538878],"category_scores_gemma":[0.00083821587,0.0003211382,0.00055416767,0.00044349124,0.00041907904,0.00051595276,0.0004706893,0.00042049083,0.00014252316],"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":[0.000019714871,0.0000141145565,0.00039219443,0.000021587086,0.000015104157,0.000025427702,0.000018937666,0.98442286,0.0007909972,0.0030256435,0.00030793104,0.010945407],"study_design_scores_gemma":[0.0000024280394,0.000009042683,0.00005625028,9.985315e-7,0.0000021568178,0.0000030940218,0.000004431483,0.9991424,0.0000945023,0.00058657106,0.0000965917,0.0000015590008],"about_ca_topic_score_codex":0.0071901996,"about_ca_topic_score_gemma":0.0048848237,"teacher_disagreement_score":0.0071901996,"about_ca_system_score_codex":0.0006941103,"about_ca_system_score_gemma":0.0009794006,"threshold_uncertainty_score":0.0142967105},"labels":[],"label_agreement":null},{"id":"W3167462019","doi":"10.1109/tii.2021.3088420","title":"Adaptive Optimal Management of EV Battery Distributed Energy for Concurrent Services to Transportation and Power Grid in a Fleet System Under Dynamic Service Pricing","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamic pricing; Revenue; Grid; Computer science; Software deployment; Scheduling (production processes); Energy storage; Energy management; Fleet management; Operations research; Automotive engineering; Power (physics); Engineering; Energy (signal processing); Telecommunications; Operations management","score_opus":0.011721367269887286,"score_gpt":0.212878236792027,"score_spread":0.2011568695221397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167462019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27614418,0.00033986528,0.7058091,0.00069503934,0.00008964942,0.00014535434,0.00020029154,0.00029840053,0.016278127],"genre_scores_gemma":[0.9933164,0.00006479777,0.004192332,0.000022191123,0.0000073800065,0.00003485691,0.000026505348,0.000014861633,0.0023206226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996132,0.0001174523,0.000011838393,0.00008379668,0.00006211297,0.00011169444],"domain_scores_gemma":[0.9996164,0.00016031493,0.00007453275,0.000017914323,0.00007442337,0.000056391073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066547876,0.0008116014,0.0009833571,0.00033549737,0.00059089065,0.001422166,0.0010089615,0.00097576686,0.001981615],"category_scores_gemma":[0.0013008887,0.00047974018,0.0006339218,0.00039121447,0.0006859383,0.0012531941,0.00095193594,0.0010032381,0.000174756],"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":[0.000022351907,0.000011902363,0.00017681923,0.000006383751,0.0000074636177,0.000040479015,0.000009872555,0.9964864,0.00040982096,0.0012892514,0.00013170688,0.0014075475],"study_design_scores_gemma":[0.000002967904,0.000011125783,0.0000613287,6.0578304e-7,0.0000023182981,0.0000043367518,0.0000057762754,0.9994318,0.00004734276,0.00038453125,0.00004603464,0.0000018414275],"about_ca_topic_score_codex":0.013138231,"about_ca_topic_score_gemma":0.01183794,"teacher_disagreement_score":0.013138231,"about_ca_system_score_codex":0.001502405,"about_ca_system_score_gemma":0.0013193828,"threshold_uncertainty_score":0.026123524},"labels":[],"label_agreement":null},{"id":"W3169271641","doi":"10.24908/cpp-apc.v2021i2.13928","title":"Social and municipal influences on intention to purchase electric and hybrid electric vehicles in London Ontario, CA","year":2021,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Influencer marketing; Purchasing; Promotion (chess); Business; Electric vehicle; General partnership; Marketing; Social marketing; Electric cars; Advertising; Politics; Engineering; Political science; Finance","score_opus":0.009866019774189591,"score_gpt":0.2439297626442963,"score_spread":0.23406374287010673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169271641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192154,0.00017634475,0.00005900622,0.00036594653,0.000004312475,0.000029827079,0.00043572843,0.0000042668903,0.0070030876],"genre_scores_gemma":[0.9960186,0.00013250811,0.00009508589,0.000041712075,0.000001973857,0.000018486178,0.00018531109,0.000003695878,0.0035025156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993461,0.00011685096,0.000040973624,0.00008696472,0.00019662725,0.00021238145],"domain_scores_gemma":[0.99777883,0.00029207973,0.0004701841,0.000084500796,0.00077497715,0.00059949653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204404,0.00017573686,0.00024480282,0.00070702255,0.0030326236,0.0016863453,0.00057436613,0.00029673494,0.003584529],"category_scores_gemma":[0.0020206673,0.000216504,0.00031300887,0.0016332088,0.001046476,0.00043108442,0.0008186814,0.00037885073,0.00030740528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008981088,0.00007785207,0.9746464,0.000045263227,0.000038913135,0.00035960996,0.016002936,0.00027382243,0.00037784147,0.000786152,0.0016064933,0.0056948857],"study_design_scores_gemma":[0.000010752335,0.000029204306,0.9725222,0.000041381645,0.000022151813,0.000045915473,0.022204248,0.00034979987,0.000095427305,0.00006750921,0.0045952117,0.000016218717],"about_ca_topic_score_codex":0.9934197,"about_ca_topic_score_gemma":0.99803585,"teacher_disagreement_score":0.033745944,"about_ca_system_score_codex":0.033745944,"about_ca_system_score_gemma":0.019980632,"threshold_uncertainty_score":0.24484509},"labels":[],"label_agreement":null},{"id":"W3169951825","doi":"10.3390/wevj12020086","title":"Electrification Opportunities in the Medium- and Heavy-Duty Vehicle Segment in Canada","year":2021,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Truck; Electrification; Context (archaeology); Greenhouse gas; Heavy duty; Zero emission; Automotive engineering; Green vehicle; Battery (electricity); Transport engineering; Miles per gallon gasoline equivalent; Environmental science; Alternative fuel vehicle; Electricity; Environmental economics; Fuel efficiency; Business; Waste management; Engineering; Alternative fuels; Diesel fuel; Electrical engineering; Power (physics)","score_opus":0.011031112111485396,"score_gpt":0.1915833288701019,"score_spread":0.18055221675861652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169951825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97973824,0.0003283134,0.00022976346,0.00032295994,0.0000039446786,0.000051244915,0.00019279467,0.0000058078977,0.019126836],"genre_scores_gemma":[0.9939704,0.00038622294,0.0003229173,0.0000383838,6.411222e-7,0.000007317493,0.0001046537,0.0000018679486,0.005167729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958116,0.000034026612,0.0000068721065,0.000035156823,0.00013373983,0.00020901355],"domain_scores_gemma":[0.9996698,0.00003291161,0.000020792117,0.000006726493,0.00019165332,0.00007821207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363969,0.00016811778,0.000117690935,0.0006219332,0.0027688202,0.0011822613,0.0005457602,0.00024353358,0.0021802564],"category_scores_gemma":[0.00066231005,0.0001091254,0.00019505198,0.0013438629,0.00082646037,0.0005104987,0.0006682892,0.00036763088,0.00008428232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015051838,0.0004903639,0.57518184,0.0008820286,0.00011597535,0.004466867,0.02067343,0.020242715,0.024387272,0.07092898,0.00708638,0.27403903],"study_design_scores_gemma":[0.000048092883,0.00043737484,0.8037462,0.00020684637,0.00010032158,0.00050089235,0.0878741,0.008547897,0.0067750853,0.0021395928,0.08952158,0.00010186721],"about_ca_topic_score_codex":0.98993987,"about_ca_topic_score_gemma":0.99766976,"teacher_disagreement_score":0.028103989,"about_ca_system_score_codex":0.028103989,"about_ca_system_score_gemma":0.039412435,"threshold_uncertainty_score":0.2039097},"labels":[],"label_agreement":null},{"id":"W3173206965","doi":"10.1145/3447555.3466573","title":"Poster abstract: Understanding controlled EV charging impacts using scenario-based forecasting models","year":2021,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Transformer; Computer science; Range (aeronautics); Electric vehicle; Automotive engineering; Electrical engineering; Voltage; Engineering","score_opus":0.05524315266869031,"score_gpt":0.26448136839784236,"score_spread":0.20923821572915205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173206965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.590379,0.0013449653,0.3633814,0.0071532177,0.000483488,0.00012952667,0.005947268,0.0010977642,0.030083334],"genre_scores_gemma":[0.9875213,0.0003166025,0.008210079,0.00013564632,0.00006909727,0.000040595867,0.0010476118,0.000046856836,0.0026123035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978226,0.00009114664,0.000009249696,0.000053629483,0.000029934054,0.000033787353],"domain_scores_gemma":[0.9985422,0.0009606562,0.00015363142,0.000079123565,0.00017785223,0.00008654411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009916839,0.0007545376,0.00043416317,0.00041448892,0.0002789563,0.001424009,0.0008359007,0.0012059996,0.0046090344],"category_scores_gemma":[0.004180588,0.00025598568,0.00066987186,0.00052826456,0.00034504113,0.0012857548,0.0005133748,0.0014662155,0.0005658436],"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":[0.000029182556,0.000013339359,0.0013280349,0.000015389482,0.00001707999,0.000027789258,0.000015783307,0.9906399,0.00016045662,0.0038179457,0.0010606194,0.0028744226],"study_design_scores_gemma":[0.0000031815864,0.000009395908,0.00033389134,0.0000050435656,0.0000046400755,0.000005392498,0.000008921695,0.99625057,0.00006541637,0.002995751,0.00031318152,0.0000047077197],"about_ca_topic_score_codex":0.019930772,"about_ca_topic_score_gemma":0.009984989,"teacher_disagreement_score":0.019930772,"about_ca_system_score_codex":0.0008923962,"about_ca_system_score_gemma":0.0005277706,"threshold_uncertainty_score":0.03962952},"labels":[],"label_agreement":null},{"id":"W3173789861","doi":"10.24018/ejece.2021.5.3.329","title":"Dynamic Modelling of a Solar Energy System with Vehicle to Home and Vehicle to Grid Option for Newfoundland Conditions","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering and Computer Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Vehicle-to-grid; Grid; Automotive engineering; Battery (electricity); Engineering; Smart grid; Mode (computer interface); Photovoltaic system; MATLAB; Electrical engineering; Power (physics); Electric vehicle; Computer science","score_opus":0.004477937307028907,"score_gpt":0.16824861436504004,"score_spread":0.16377067705801113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173789861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78247654,0.0004634697,0.06964363,0.0005133517,0.00010592368,0.00019811149,0.0036926179,0.0009084961,0.14199771],"genre_scores_gemma":[0.98394394,0.00015326648,0.0015863859,0.000027045735,0.000003944797,0.00005666135,0.0004904964,0.000024906052,0.013713382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991894,0.000012323015,0.0000035655223,0.000015491527,0.000019028863,0.000030566232],"domain_scores_gemma":[0.99993217,0.000020603615,0.000011399642,0.000005255723,0.000024274259,0.000006178556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009688795,0.00046205643,0.00045915597,0.0003330777,0.00072213233,0.0010465841,0.0005254115,0.00072603347,0.0061833365],"category_scores_gemma":[0.0001807785,0.00023934979,0.0006232736,0.00032880457,0.00037291666,0.00044248643,0.00034391863,0.00044300262,0.0005572347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058016212,0.000012914722,0.0013928228,0.000039732106,0.0000139726035,0.0001753822,0.00005885778,0.99291223,0.0016831224,0.0007159866,0.00060038647,0.0023365056],"study_design_scores_gemma":[0.0000158676,0.000045479406,0.0034427412,0.000012235155,0.00002041474,0.000043539483,0.00011954903,0.9933467,0.00092259276,0.00021140202,0.0018060113,0.000013472309],"about_ca_topic_score_codex":0.24618182,"about_ca_topic_score_gemma":0.2276642,"teacher_disagreement_score":0.75381815,"about_ca_system_score_codex":0.0016792398,"about_ca_system_score_gemma":0.0010023754,"threshold_uncertainty_score":0.48949778},"labels":[],"label_agreement":null},{"id":"W3174082884","doi":"","title":"Charge the North - Characterizing Electric Vehicle Charging Profiles & Enhancing Charging Infrastructure in Canada -","year":2018,"lang":"en","type":"article","venue":"Japan Automobile Research Institute","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Charge (physics); Business; Environmental science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.012717938690589063,"score_gpt":0.24736076407758223,"score_spread":0.23464282538699316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174082884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97618324,0.00015209141,0.00091763487,0.0006672419,0.000012000668,0.000040451225,0.0022504346,0.000058129895,0.019718815],"genre_scores_gemma":[0.99070203,0.000089059526,0.000496614,0.00005938208,0.0000019197967,0.0000054352936,0.0007630054,0.000013896846,0.007868558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999579,0.000023832274,0.000008716315,0.00004967551,0.00013245172,0.0002062593],"domain_scores_gemma":[0.999102,0.000038124326,0.00004283949,0.000021142423,0.0006404962,0.0001553355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037646736,0.00019306768,0.00021055357,0.0010571716,0.002384304,0.0015596456,0.00081612665,0.0003363653,0.0028681743],"category_scores_gemma":[0.0011246551,0.00019282596,0.00030529595,0.0025099718,0.00036589248,0.0006293356,0.00069827266,0.00043182514,0.0002757359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005153145,0.00018985714,0.8802468,0.000095658725,0.00008405574,0.00077894883,0.0028191607,0.016060598,0.003481056,0.0135456845,0.0136339115,0.068548955],"study_design_scores_gemma":[0.00001503808,0.00003546304,0.94887024,0.000041419476,0.000031457308,0.00011597096,0.009832369,0.019281475,0.0017817522,0.00074061437,0.019214509,0.00003967962],"about_ca_topic_score_codex":0.99365187,"about_ca_topic_score_gemma":0.99798954,"teacher_disagreement_score":0.039361782,"about_ca_system_score_codex":0.039361782,"about_ca_system_score_gemma":0.03819113,"threshold_uncertainty_score":0.28559107},"labels":[],"label_agreement":null},{"id":"W3175445075","doi":"10.54966/jreen.v24i1.970","title":"Integration of PV Distributed Generator in Electrical Distribution System with Electric Vehicles Charging Stations Considering Uncertainties using Chaotic SSA Algorithm","year":2021,"lang":"en","type":"article","venue":"Journal of Renewable Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Chaotic; Renewable energy; Electrification; Electric power system; Voltage; Computer science; Distributed generation; Photovoltaic system; Charging station; Consensus algorithm; Electrical engineering; Engineering; Automotive engineering; Electric vehicle; Power (physics); Algorithm; Electricity","score_opus":0.00828573789117152,"score_gpt":0.20529970416400012,"score_spread":0.1970139662728286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175445075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14707391,0.000255235,0.84591025,0.00014538041,0.000034822882,0.00005489124,0.00003113443,0.00022515863,0.006269115],"genre_scores_gemma":[0.9670554,0.00008506182,0.03131899,0.00001716762,0.000014624179,0.00005915409,0.000031903113,0.000016076781,0.0014016036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998838,0.000037269074,0.000006093265,0.000020348361,0.000031292584,0.000021224609],"domain_scores_gemma":[0.99980754,0.0000908511,0.00003123233,0.000009840791,0.00004611435,0.000014452519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026881968,0.00055396487,0.0005575035,0.00028403307,0.00027994902,0.0005283049,0.00039984685,0.0004017115,0.0008925769],"category_scores_gemma":[0.00067650527,0.00026074197,0.00044643704,0.00026242042,0.0002568624,0.0003522611,0.0004968406,0.00033852036,0.000106826126],"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":[0.000029548468,0.000011029469,0.00043727463,0.000015558153,0.00001786669,0.000035017594,0.00001976844,0.98655385,0.00084330345,0.00083094294,0.000103745704,0.0111021325],"study_design_scores_gemma":[0.000003699235,0.000013988488,0.000052565378,0.0000010220039,0.00000324292,0.0000038211992,0.000003231112,0.9995184,0.00014177879,0.00019068964,0.000066639754,9.0509906e-7],"about_ca_topic_score_codex":0.0054036034,"about_ca_topic_score_gemma":0.0033911737,"teacher_disagreement_score":0.0054036034,"about_ca_system_score_codex":0.00037199297,"about_ca_system_score_gemma":0.00063146645,"threshold_uncertainty_score":0.010744333},"labels":[],"label_agreement":null},{"id":"W3177639474","doi":"10.1109/icps49255.2021.9468155","title":"Iterative Learning-Based Decentralized Model Predictive Charging Control for Plug-In Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Model predictive control; Plug-in; Computer science; Grid; Process (computing); Iterative and incremental development; Electricity; Iterative learning control; Task (project management); Decentralised system; Iterative method; Electric power system; Control (management); Power (physics); Mathematical optimization; Control engineering; Engineering; Artificial intelligence; Algorithm; Mathematics","score_opus":0.005342396891076193,"score_gpt":0.20620648384239212,"score_spread":0.20086408695131594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177639474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040438987,0.0002961604,0.9538125,0.0002283795,0.000057728186,0.000041546085,0.000025204718,0.00033735504,0.0047620675],"genre_scores_gemma":[0.9905109,0.000075171054,0.00826938,0.000034938785,0.000017454931,0.00004484997,0.00002423229,0.0000122201955,0.0010109005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995944,0.00008775146,0.000015446054,0.00008733561,0.00012925992,0.00008576736],"domain_scores_gemma":[0.9994618,0.00023247222,0.00009623542,0.000037042664,0.00014476023,0.000027631635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067545165,0.0005938655,0.0009931726,0.00024833353,0.0005431644,0.00082493795,0.0009755317,0.00057514926,0.001067583],"category_scores_gemma":[0.0013225179,0.00038440895,0.00043885515,0.00036815574,0.0007378672,0.0005263283,0.0008697722,0.0009893634,0.00014155448],"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":[0.000028326296,0.000026790678,0.00016816266,0.000024753685,0.000011457493,0.0000243203,0.000031913052,0.9851114,0.0007424612,0.0023303966,0.0002942887,0.011205752],"study_design_scores_gemma":[0.000004661226,0.000014078085,0.000035302095,0.000001010975,0.0000018359418,0.0000029239054,0.000002775777,0.9991217,0.00012929457,0.00061123614,0.00007341125,0.0000017192049],"about_ca_topic_score_codex":0.010089948,"about_ca_topic_score_gemma":0.0074150385,"teacher_disagreement_score":0.010089948,"about_ca_system_score_codex":0.0008196122,"about_ca_system_score_gemma":0.0014467088,"threshold_uncertainty_score":0.020062387},"labels":[],"label_agreement":null},{"id":"W3180023589","doi":"10.1088/2515-7620/ac1498","title":"The effect of plug-in hybrid electric vehicle charging on fuel consumption and tail-pipe emissions","year":2021,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg; Fraunhofer-Gesellschaft","keywords":"Greenhouse gas; Fuel efficiency; Electricity; Environmental science; Automotive engineering; Spark plug; Consumption (sociology); Combustion; Upstream (networking); Miles per gallon gasoline equivalent; Electric vehicle; Environmental engineering; Engineering; Green vehicle; Electrical engineering; Power (physics); Chemistry; Telecommunications; Physics","score_opus":0.016888459638345944,"score_gpt":0.2858556964884981,"score_spread":0.26896723685015217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180023589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880326,0.000044033233,0.00017255926,0.000022308552,0.0000030856474,0.0000027348742,0.00042019007,0.000010411091,0.0005214422],"genre_scores_gemma":[0.999466,0.000015049292,0.000074624375,0.00000654858,0.0000013593356,0.00000143942,0.00025393916,0.000002094218,0.00017889767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997259,0.00006998125,0.000013014697,0.00004947453,0.00007580399,0.00006588867],"domain_scores_gemma":[0.99691224,0.0020024362,0.00039971093,0.00014485797,0.00039282368,0.00014800525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041248716,0.00022949795,0.00019030352,0.0003547335,0.00013910384,0.00058293,0.00037803449,0.00029574614,0.0016243816],"category_scores_gemma":[0.00231531,0.00011821158,0.00044823077,0.0005104776,0.00027503067,0.0002826742,0.00022237904,0.0003046313,0.00016856384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010530772,0.0003689522,0.9066428,0.00010373278,0.00045782237,0.00023649257,0.00008707306,0.0683511,0.0066698575,0.00031688093,0.0007052985,0.015006864],"study_design_scores_gemma":[0.00001109486,0.00026575988,0.95931125,0.000010715792,0.00011624159,0.00007163226,0.00028821614,0.03486803,0.004104349,0.00020710824,0.00072531233,0.000020273581],"about_ca_topic_score_codex":0.06442101,"about_ca_topic_score_gemma":0.059956465,"teacher_disagreement_score":0.06442101,"about_ca_system_score_codex":0.00065893447,"about_ca_system_score_gemma":0.00038625466,"threshold_uncertainty_score":0.12809205},"labels":[],"label_agreement":null},{"id":"W3181013434","doi":"10.1109/icps49255.2021.9468147","title":"Electric Vehicle Charging Navigation Strategy Considering Multiple Customer Concerns","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 de Montréal; Polytechnique Montréal","funders":"","keywords":"Charging station; Electric vehicle; Energy consumption; Automotive engineering; Computer science; Inductive charging; Power consumption; Plan (archaeology); Power (physics); Electrical engineering; Telecommunications; Engineering; Wireless","score_opus":0.01227860661809313,"score_gpt":0.223359173930775,"score_spread":0.21108056731268188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181013434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1802817,0.00035634442,0.7939808,0.00042291894,0.000075585056,0.00016325455,0.000048368995,0.00021588414,0.024455125],"genre_scores_gemma":[0.9707507,0.00012858465,0.023538666,0.00004321208,0.000016354254,0.000045747907,0.000037696715,0.000017585893,0.005421516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942017,0.00016657324,0.000018846038,0.00009484814,0.00014994317,0.0001496593],"domain_scores_gemma":[0.9995528,0.00013274454,0.00005027025,0.000023745892,0.00018760764,0.000052857093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066340866,0.0008446782,0.0006834249,0.00034521602,0.0006522907,0.0013446651,0.0012547844,0.0010561912,0.003259463],"category_scores_gemma":[0.0010091552,0.00030684014,0.00046754302,0.00055549317,0.00029595938,0.0012280354,0.0009478493,0.0006152839,0.00031347832],"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":[0.0002770346,0.0001995628,0.0022892398,0.0001622024,0.00006676012,0.00064483064,0.00020800585,0.8755483,0.006773621,0.020881314,0.0018631648,0.0910859],"study_design_scores_gemma":[0.00001448938,0.00013593229,0.00032671372,0.000004587251,0.000026826403,0.000113459086,0.0001796121,0.99457705,0.0010752673,0.0024377315,0.0010972461,0.000011027303],"about_ca_topic_score_codex":0.0055581816,"about_ca_topic_score_gemma":0.0054144314,"teacher_disagreement_score":0.0055581816,"about_ca_system_score_codex":0.0008673758,"about_ca_system_score_gemma":0.0012157562,"threshold_uncertainty_score":0.011051655},"labels":[],"label_agreement":null},{"id":"W3182437160","doi":"10.1109/sustech51236.2021.9467438","title":"Using OCPP for Data Collection in BC Hydro Time-of-Use Measurement Trial for Residential EV Charging","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Smart meter; Smart grid; Computer science; Data acquisition; Electric power system; Data collection; Demand response; Reliability engineering; Peak demand; Range (aeronautics); Automotive engineering; Scheduling (production processes); Metre; Real-time computing; Power (physics); Electrical engineering; Electricity; Engineering; Statistics; Operations management","score_opus":0.08549958524357834,"score_gpt":0.28200792820030407,"score_spread":0.19650834295672573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182437160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91696936,0.0000986613,0.057634644,0.00034646044,0.00027192774,0.004293461,0.003237509,0.0017626599,0.015385274],"genre_scores_gemma":[0.97604036,0.000045148878,0.017274307,0.000113993294,0.000020952453,0.0024316052,0.0008384455,0.00010395623,0.0031312318],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980268,0.0006588703,0.00011276039,0.00020832701,0.0008295307,0.00016376573],"domain_scores_gemma":[0.9974771,0.0004738381,0.00024729944,0.00044535391,0.0012048524,0.00015146147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015972165,0.00045986034,0.00057351193,0.00065842195,0.0008422377,0.00066304964,0.0009777937,0.00055845815,0.0050974963],"category_scores_gemma":[0.005630983,0.00015009122,0.00020254248,0.0010400297,0.0005412231,0.0006810121,0.00086169265,0.00072932016,0.0014043018],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0103504155,0.004788651,0.13514265,0.0015763128,0.00016685177,0.0019929085,0.0037600158,0.02609338,0.28356612,0.0049918857,0.027400572,0.5001703],"study_design_scores_gemma":[0.0019047409,0.023366442,0.22180836,0.0002555009,0.00018971322,0.0011800021,0.0034771143,0.13486785,0.530313,0.00292957,0.07939359,0.00031404375],"about_ca_topic_score_codex":0.004219433,"about_ca_topic_score_gemma":0.00832247,"teacher_disagreement_score":0.0050974963,"about_ca_system_score_codex":0.00063778117,"about_ca_system_score_gemma":0.0012050632,"threshold_uncertainty_score":0.017052889},"labels":[],"label_agreement":null},{"id":"W3182521780","doi":"10.14288/1.0397011","title":"Electrifying Change : An Analysis of Streetlight Electric Vehicle Charging Around Multi-Family Residential Units in Vancouver","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Engineering","score_opus":0.012337125250760906,"score_gpt":0.18125510683741378,"score_spread":0.16891798158665286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182521780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997584,0.000050570998,0.000086310305,0.000037832317,0.0000020920177,0.000022244567,0.00024530932,0.0000044073927,0.0019671815],"genre_scores_gemma":[0.9966304,0.00013220366,0.00016666397,0.000026580845,0.0000016934746,0.000011931508,0.0004235741,0.00000784457,0.0025991884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995956,0.000065505694,0.00002290165,0.00005008118,0.00012267404,0.00014340803],"domain_scores_gemma":[0.99896634,0.00015859731,0.00010667957,0.00003319995,0.00055274874,0.00018231387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027735345,0.00018743981,0.0003606772,0.0011313887,0.0017269597,0.0017022379,0.00090759335,0.00046239194,0.0020507593],"category_scores_gemma":[0.0015956007,0.00022206907,0.0004102638,0.0031779292,0.00042622167,0.00038844085,0.00094189146,0.0004075158,0.00041213733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024075549,0.00021768251,0.943458,0.00011693404,0.00011954734,0.0019408362,0.008026814,0.0035643508,0.0010757516,0.00042448193,0.0014350811,0.03937973],"study_design_scores_gemma":[0.0000056674676,0.000067329,0.96347743,0.00003198656,0.00002948787,0.00022224175,0.030243665,0.0032773584,0.00016791357,0.00008133092,0.0023786442,0.000016935946],"about_ca_topic_score_codex":0.80745816,"about_ca_topic_score_gemma":0.91490793,"teacher_disagreement_score":0.19254184,"about_ca_system_score_codex":0.0060504917,"about_ca_system_score_gemma":0.0025501687,"threshold_uncertainty_score":0.38735145},"labels":[],"label_agreement":null},{"id":"W3185334720","doi":"10.1115/es2021-62480","title":"Feasibility Study of Refuelling Infrastructure for Compressed Hydrogen Gas Long-Haul Heavy-Duty Trucks in Canada","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Truck; Compressed natural gas; Environmental science; Greenhouse gas; Hydrogen vehicle; Hydrogen fuel; Environmental economics; Transport engineering; Engineering; Automotive engineering; Fuel cells","score_opus":0.009480349674332885,"score_gpt":0.21515786604600795,"score_spread":0.20567751637167506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185334720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483347,0.00001853438,0.0009277178,0.000040699157,0.0000035185305,0.00024424432,0.0003541642,0.000022649447,0.003554941],"genre_scores_gemma":[0.9960712,0.000038044218,0.0014658719,0.000011902999,9.469769e-7,0.00004430298,0.0003147701,0.0000029789157,0.0020499264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918777,0.00005834048,0.00001665905,0.00008517155,0.0003617867,0.0002903292],"domain_scores_gemma":[0.99866486,0.0001560607,0.00006944444,0.000038737002,0.00085774885,0.00021315475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007679584,0.0005055168,0.00022592844,0.0010994555,0.0020204843,0.00078829675,0.0012638873,0.0005015934,0.0017132326],"category_scores_gemma":[0.0010031387,0.00032554538,0.00048227294,0.0009206724,0.00059072813,0.0005569997,0.00044148878,0.0005191371,0.00017322936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030392336,0.004967636,0.4944718,0.0007412716,0.0002094293,0.0060837185,0.0029950652,0.28730586,0.096440874,0.007924686,0.0039831735,0.09183722],"study_design_scores_gemma":[0.0002854343,0.006925019,0.6000394,0.00009400092,0.0002144872,0.00034666312,0.030115996,0.30068573,0.042796254,0.0006857191,0.017636161,0.00017516721],"about_ca_topic_score_codex":0.9327495,"about_ca_topic_score_gemma":0.9542872,"teacher_disagreement_score":0.06725049,"about_ca_system_score_codex":0.028612252,"about_ca_system_score_gemma":0.017494379,"threshold_uncertainty_score":0.20759743},"labels":[],"label_agreement":null},{"id":"W3185349367","doi":"10.1115/es2021-62478","title":"Feasibility Analysis of Refuelling Infrastructure for Compressed Renewable Natural Gas Long-Haul Heavy-Duty Trucks in Canada","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Truck; Compressed natural gas; Diesel fuel; Heavy duty; Transport engineering; Gasoline; Automotive engineering; Renewable energy; Environmental economics; Environmental science; Computer science; Engineering; Waste management; Economics","score_opus":0.006493449338196711,"score_gpt":0.20904522223090485,"score_spread":0.20255177289270815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185349367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643075,0.000020167907,0.000903252,0.000036231366,0.000002110391,0.00006695488,0.000554516,0.000027632825,0.0019584391],"genre_scores_gemma":[0.99736065,0.000031941276,0.00099651,0.0000064911274,5.804932e-7,0.000014373191,0.0006097428,0.000004040196,0.0009756299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993488,0.000044632896,0.000013042686,0.00008389317,0.0002814147,0.00022826677],"domain_scores_gemma":[0.9992099,0.00018761645,0.000055120167,0.000031380594,0.00042541703,0.000090538684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068987976,0.0007123955,0.00033179446,0.0010965582,0.0012298176,0.0010971386,0.0013767002,0.0005584038,0.0015374749],"category_scores_gemma":[0.0010199235,0.00042796545,0.00085259957,0.001006954,0.00062732794,0.00059757766,0.00038482458,0.0006705397,0.00013790872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061178685,0.000747823,0.17700316,0.0001506486,0.000120019264,0.00094870373,0.00019287168,0.78623545,0.011502817,0.002458353,0.0012632916,0.01876502],"study_design_scores_gemma":[0.00005255667,0.0007218824,0.14630516,0.00001853911,0.00008654971,0.000056489815,0.0016382653,0.841054,0.007884929,0.00032195414,0.0018034071,0.000056261746],"about_ca_topic_score_codex":0.93149394,"about_ca_topic_score_gemma":0.93356663,"teacher_disagreement_score":0.06850606,"about_ca_system_score_codex":0.029820755,"about_ca_system_score_gemma":0.012711889,"threshold_uncertainty_score":0.21636575},"labels":[],"label_agreement":null},{"id":"W3185764699","doi":"10.3390/en14154515","title":"A Novel Optimization Algorithm for Solar Panels Selection towards a Self-Powered EV Parking Lot and Its Impact on the Distribution System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"","keywords":"TOPSIS; Photovoltaic system; Renewable energy; Ideal solution; Mathematical optimization; Payback period; Computer science; Algorithm; Power (physics); Engineering; Mathematics; Operations research; Production (economics); Electrical engineering","score_opus":0.007155060188926868,"score_gpt":0.21098286906148203,"score_spread":0.20382780887255517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185764699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075151636,0.00008923235,0.98987925,0.000060814455,0.000019437652,0.000053333195,0.000024105339,0.00020429073,0.0021543433],"genre_scores_gemma":[0.4213719,0.00020390862,0.57389367,0.00010757928,0.000037892565,0.00038466993,0.00014013225,0.000086831045,0.0037733645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993923,0.00019395738,0.000036931306,0.00011632555,0.00018809234,0.00007235447],"domain_scores_gemma":[0.99953055,0.00021328499,0.00006321984,0.000023001478,0.00014843896,0.000021479027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010981571,0.0010001151,0.00090126944,0.0008129082,0.0005067328,0.0010396602,0.0009198266,0.0010443242,0.0030410949],"category_scores_gemma":[0.0013968034,0.00041815737,0.00087327155,0.00073635206,0.0003539741,0.0008246129,0.0007311177,0.00066844176,0.00047036057],"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":[0.00005830483,0.00006415514,0.0005400552,0.00010739959,0.000051272596,0.000056170655,0.000058157115,0.8905481,0.0030451291,0.00433318,0.0011183794,0.10001968],"study_design_scores_gemma":[0.000010864907,0.000040378884,0.000083183106,0.0000054821744,0.000008052467,0.000018925419,0.00001115878,0.9978758,0.00057016825,0.00084181066,0.0005295474,0.000004640037],"about_ca_topic_score_codex":0.0028041573,"about_ca_topic_score_gemma":0.002670493,"teacher_disagreement_score":0.0030410949,"about_ca_system_score_codex":0.00065616396,"about_ca_system_score_gemma":0.0012629915,"threshold_uncertainty_score":0.01017344},"labels":[],"label_agreement":null},{"id":"W3186121458","doi":"10.22156/cs4smb.2021.11.06.040","title":"EV Energy Convergence Plan for Reshaping the European Automobile Industry According to the Green Deal Policy","year":2021,"lang":"en","type":"article","venue":"Journal of Convergence Information Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Electric power industry; Electric power; Electricity generation; Procurement; Environmental economics; Business; Electric vehicle; Renewable energy; Purchasing power; Economics; Natural resource economics; Power (physics); Electrical engineering; Engineering; Marketing","score_opus":0.007823910977952075,"score_gpt":0.22087417316157035,"score_spread":0.21305026218361828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186121458","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40560082,0.008548241,0.047196936,0.021318564,0.001296035,0.0005614109,0.0017601013,0.0014021461,0.51231575],"genre_scores_gemma":[0.8132691,0.0025085937,0.024845324,0.0061382907,0.00018983673,0.00038676272,0.0015049696,0.00012362328,0.15103348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935406,0.00018581626,0.000035087178,0.00007679811,0.00019156172,0.00015664064],"domain_scores_gemma":[0.99958056,0.000056059293,0.0000531257,0.00004077284,0.00018111267,0.000088337416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017446171,0.00034860245,0.00016506229,0.0010378151,0.000398111,0.0020016541,0.0004906661,0.0021893762,0.0037863315],"category_scores_gemma":[0.0018008419,0.00011743018,0.00044762294,0.0008020018,0.00026989004,0.001374688,0.0013474963,0.00095126685,0.00091288594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000377427,0.00034843961,0.02070083,0.00033341916,0.000080700986,0.0014081959,0.0010898032,0.02949882,0.008731043,0.72186434,0.061093803,0.15447322],"study_design_scores_gemma":[0.000116481206,0.00032795104,0.062961034,0.0004634056,0.00007577625,0.0005577353,0.0017990365,0.021804797,0.007854138,0.0454226,0.85854465,0.00007241075],"about_ca_topic_score_codex":0.0085262535,"about_ca_topic_score_gemma":0.004283985,"teacher_disagreement_score":0.0085262535,"about_ca_system_score_codex":0.0015790113,"about_ca_system_score_gemma":0.0039473283,"threshold_uncertainty_score":0.01695329},"labels":[],"label_agreement":null},{"id":"W3189347711","doi":"10.1109/icc42927.2021.9500559","title":"A Dynamic Pricing Based Scheduling Scheme for Electric Vehicles as Mobile Energy Storages","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Waterloo","funders":"","keywords":"Computer science; Energy storage; Dynamic pricing; Electric vehicle; Scheduling (production processes); Automotive engineering; Real-time computing; Simulation; Power (physics); Engineering","score_opus":0.003633014301674914,"score_gpt":0.20695056696891104,"score_spread":0.2033175526672361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189347711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08034473,0.0003339466,0.91170394,0.0004315104,0.00023517174,0.00017377443,0.000095450836,0.00040083303,0.0062807095],"genre_scores_gemma":[0.9549315,0.000111352594,0.043301698,0.00004257289,0.000045974102,0.000051066916,0.00003696498,0.000020322646,0.0014585946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993344,0.00022935845,0.000038669412,0.00011210856,0.00016104236,0.0001243587],"domain_scores_gemma":[0.99922144,0.00024279607,0.00011597029,0.000106470165,0.00019736544,0.00011582903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097367313,0.00051969185,0.00070512266,0.00036959033,0.0005951018,0.000744623,0.0016614065,0.00054723956,0.0017190638],"category_scores_gemma":[0.0025556595,0.00027957693,0.0003092908,0.000674879,0.00047221477,0.0010515503,0.0007064107,0.0005859897,0.00022718782],"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":[0.0002647354,0.0002070208,0.0010190834,0.00008417338,0.000032733024,0.00018889281,0.00011293221,0.81177133,0.011754859,0.06687116,0.0036508914,0.10404226],"study_design_scores_gemma":[0.000014130165,0.000056527504,0.00011716871,0.0000023206067,0.000005574804,0.000030224031,0.000011446264,0.9941924,0.0006749761,0.0038897966,0.0009968773,0.000008410025],"about_ca_topic_score_codex":0.0029266553,"about_ca_topic_score_gemma":0.0033846372,"teacher_disagreement_score":0.0029266553,"about_ca_system_score_codex":0.0011469098,"about_ca_system_score_gemma":0.0013378087,"threshold_uncertainty_score":0.008321464},"labels":[],"label_agreement":null},{"id":"W3189538944","doi":"10.1109/itec51675.2021.9490152","title":"Real-time Aggregation of Large-scale EVs Considering Fast Charging","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"News aggregator; Microgrid; Flexibility (engineering); Computer science; Automotive engineering; Frequency regulation; State of charge; Scale (ratio); Electric power system; Power (physics); Simulation; Engineering; Battery (electricity); Control (management)","score_opus":0.004460046163717587,"score_gpt":0.1977836645383828,"score_spread":0.19332361837466522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189538944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1050049,0.0005322105,0.8717617,0.0007121522,0.0002160571,0.00009808687,0.00055404153,0.0005161035,0.020604808],"genre_scores_gemma":[0.9866159,0.00021434356,0.005851537,0.00004434684,0.000036280646,0.00008046765,0.00016330674,0.000033248634,0.006960632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997516,0.000069798356,0.000012419032,0.00006147623,0.00005092206,0.00005379908],"domain_scores_gemma":[0.99963295,0.00014433378,0.000067483634,0.00002574519,0.00009377981,0.000035715413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048431952,0.0007340638,0.0008880054,0.0002868858,0.00047045047,0.0015810685,0.0011003787,0.0012112297,0.0031480496],"category_scores_gemma":[0.00097014883,0.00034847783,0.0006945533,0.00048432432,0.0006171115,0.0014846588,0.00083387765,0.001113699,0.00033233294],"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":[0.000018838688,0.0000076234323,0.00021948954,0.0000135583405,0.000009639118,0.000053184187,0.0000187071,0.99445254,0.00031584498,0.0035222017,0.00020649655,0.0011618101],"study_design_scores_gemma":[0.0000030045683,0.0000068002073,0.000061144405,0.0000012671745,0.0000031837692,0.0000050131493,0.0000062713693,0.99899656,0.000036810583,0.00073687645,0.00014123943,0.0000018259273],"about_ca_topic_score_codex":0.010505158,"about_ca_topic_score_gemma":0.0063221687,"teacher_disagreement_score":0.010505158,"about_ca_system_score_codex":0.00071360794,"about_ca_system_score_gemma":0.0007559929,"threshold_uncertainty_score":0.02088803},"labels":[],"label_agreement":null},{"id":"W3190883871","doi":"10.1109/iwcmc51323.2021.9498933","title":"Profit Maximization for EVSEs-based Solar Energy in Smart Cities","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Profit maximization; Profit (economics); MATLAB; Maximization; Photovoltaic system; Electricity; Grid; Smart grid; Computer science; Grid connection; Environmental economics; Mathematical optimization; Distributed generation; Operations research; Renewable energy; Microeconomics; Electrical engineering; Engineering; Economics; Mathematics","score_opus":0.006080663394123246,"score_gpt":0.18502759441372782,"score_spread":0.17894693101960457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190883871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09644378,0.00088352646,0.8807953,0.0009225598,0.00007377701,0.00008780451,0.0002015539,0.00020227293,0.020389332],"genre_scores_gemma":[0.98274696,0.0002921306,0.011734886,0.000049381975,0.00002035746,0.000047138405,0.000039603918,0.000028311933,0.0050411564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994848,0.0001856535,0.000011368621,0.00011975071,0.000084246945,0.000114175855],"domain_scores_gemma":[0.99965084,0.0001939208,0.000056908855,0.000015217454,0.00005195376,0.000031152565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367906,0.0006690029,0.00096825685,0.00026999015,0.00044241894,0.0012513126,0.0008512974,0.00086176733,0.0026040324],"category_scores_gemma":[0.00118557,0.0004933564,0.00058502535,0.000500541,0.0007415861,0.0013010486,0.00081058545,0.00082041585,0.0002630835],"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":[0.000029504163,0.00001992458,0.0002294479,0.00002768508,0.000011247034,0.00006946567,0.000023624701,0.98154217,0.0007232455,0.012765658,0.00047745815,0.0040804516],"study_design_scores_gemma":[0.00000462122,0.000010627636,0.00009205284,0.0000032055348,0.0000034556851,0.000010815244,0.00001587128,0.99474514,0.00015379899,0.0046490137,0.000307714,0.0000036961899],"about_ca_topic_score_codex":0.0053797867,"about_ca_topic_score_gemma":0.0050417413,"teacher_disagreement_score":0.0053797867,"about_ca_system_score_codex":0.0018597346,"about_ca_system_score_gemma":0.0010979912,"threshold_uncertainty_score":0.013493419},"labels":[],"label_agreement":null},{"id":"W3191052810","doi":"10.1016/j.joule.2021.07.012","title":"The role of artificial intelligence in the mass adoption of electric vehicles","year":2021,"lang":"en","type":"article","venue":"Joule","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrification; Greenhouse gas; Business; Environmental economics; Electric vehicle; Driving range; Engineering; Transport engineering; Electricity; Electrical engineering; Economics","score_opus":0.006150283601452206,"score_gpt":0.2056956343745398,"score_spread":0.1995453507730876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191052810","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24486093,0.015806217,0.035859454,0.054271944,0.00073463365,0.00005935539,0.00009043532,0.00013142248,0.6481857],"genre_scores_gemma":[0.9849936,0.0035018178,0.0030668234,0.0013254813,0.00029126307,0.000015889469,0.000016978427,0.000023122237,0.006765088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986551,0.0005353243,0.00004634478,0.00016078101,0.00042984725,0.00017258072],"domain_scores_gemma":[0.99411905,0.00393835,0.00060783443,0.00035225353,0.0006926167,0.00029000823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023345405,0.0002657758,0.00017777515,0.00096536765,0.0009662869,0.004201015,0.00073895435,0.0016849259,0.0037231003],"category_scores_gemma":[0.0065455073,0.00016375893,0.00027851647,0.0008300336,0.0059063327,0.005391876,0.001715409,0.0023088644,0.00037076444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006573096,0.00007487792,0.0067299637,0.00017976863,0.000026707457,0.00038117208,0.0028375091,0.0054093953,0.0017619275,0.90533036,0.003907388,0.07329517],"study_design_scores_gemma":[0.000028357957,0.00019654198,0.021229092,0.0008354687,0.000037945003,0.00052574044,0.00935152,0.024852619,0.0026975,0.6681606,0.27200377,0.0000808401],"about_ca_topic_score_codex":0.0038870645,"about_ca_topic_score_gemma":0.0040389313,"teacher_disagreement_score":0.004201015,"about_ca_system_score_codex":0.002071912,"about_ca_system_score_gemma":0.0012159669,"threshold_uncertainty_score":0.015032887},"labels":[],"label_agreement":null},{"id":"W3193105706","doi":"10.1109/tem.2021.3099070","title":"A Review of Literature on the Antecedents of Electric Vehicles Promotion: Lessons for Value Chains in Developing Countries","year":2021,"lang":"en","type":"review","venue":"IEEE Transactions on Engineering Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Developing country; Promotion (chess); Business; Marketing; Value (mathematics); Knowledge management; Political science; Economics; Computer science; Economic growth","score_opus":0.020655772813514293,"score_gpt":0.2672842816914879,"score_spread":0.24662850887797358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193105706","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01300625,0.95815796,0.0011297952,0.0075576077,0.00041798817,0.0000598705,0.00018732001,0.00001571578,0.019467503],"genre_scores_gemma":[0.052081324,0.9453542,0.0008655599,0.0006746332,0.00015174608,0.000038315422,0.00011599565,0.0000036382723,0.0007146074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987883,0.00047085172,0.000185476,0.00013391823,0.00030289608,0.000118538],"domain_scores_gemma":[0.9883796,0.008748956,0.0011099668,0.00015490748,0.0013676335,0.00023896997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002971222,0.00068485277,0.0007642006,0.0077481344,0.0013358047,0.004066789,0.0006642574,0.0012884457,0.0056938925],"category_scores_gemma":[0.008954883,0.0004954375,0.00075942127,0.01744402,0.0016011953,0.0052784015,0.0011542438,0.0013385912,0.0006493788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013789318,0.00030963524,0.027830476,0.09393885,0.0003839965,0.002344184,0.011305886,0.002327257,0.0005404031,0.12059992,0.030809179,0.7094723],"study_design_scores_gemma":[0.000031884432,0.00015832763,0.076026954,0.24286056,0.00091296394,0.002017155,0.032112468,0.0011216061,0.00078306696,0.05294837,0.5909128,0.00011378687],"about_ca_topic_score_codex":0.0074784146,"about_ca_topic_score_gemma":0.0107215345,"teacher_disagreement_score":0.0077481344,"about_ca_system_score_codex":0.003855049,"about_ca_system_score_gemma":0.0077204877,"threshold_uncertainty_score":0.027970493},"labels":[],"label_agreement":null},{"id":"W3194026056","doi":"10.1155/2021/7189411","title":"Travelers’ Adoption Behavior towards Electric Vehicles in Lahore, Pakistan: An Extension of Norm Activation Model (NAM) Theory","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ministry of Education of the People's Republic of China","keywords":"Ascription; Structural equation modeling; Theory of planned behavior; Norm (philosophy); Psychology; Theory of reasoned action; Context (archaeology); Social psychology; Marketing; Business; Mathematics; Statistics; Economics; Control (management); Geography; Political science; Theology; Management","score_opus":0.008757886159010181,"score_gpt":0.24408941697021197,"score_spread":0.23533153081120178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194026056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971355,0.000035810735,0.00081837253,0.0001512735,0.000003859358,0.000017472777,0.000032162778,0.0000018408534,0.0018038491],"genre_scores_gemma":[0.99943274,0.00005893122,0.00031244586,0.000015301703,0.0000015249004,0.000011259057,0.000023509365,3.457364e-7,0.00014397496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921477,0.00036961478,0.000064102016,0.00007189417,0.00017802871,0.000101525104],"domain_scores_gemma":[0.99702436,0.0014744558,0.0007725021,0.000119636505,0.00047786447,0.00013105235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014484967,0.00014358015,0.0001711743,0.0004806517,0.0004887159,0.0008506532,0.0002310068,0.00024097945,0.0012396973],"category_scores_gemma":[0.0037379533,0.00011984013,0.00018636308,0.0004312155,0.0005399367,0.00069054315,0.0004758325,0.0004584007,0.00008480554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053964777,0.00029905373,0.9538746,0.000098074415,0.000027403548,0.00029764758,0.015746638,0.0007415916,0.0003771754,0.0022656568,0.00033433453,0.025883844],"study_design_scores_gemma":[0.00001451941,0.00047519876,0.9121843,0.0001470405,0.00004498553,0.0004372287,0.06902895,0.012190703,0.00037862817,0.0026556656,0.0024045198,0.000038415466],"about_ca_topic_score_codex":0.011153351,"about_ca_topic_score_gemma":0.013443052,"teacher_disagreement_score":0.011153351,"about_ca_system_score_codex":0.00067702966,"about_ca_system_score_gemma":0.001104221,"threshold_uncertainty_score":0.022176862},"labels":[],"label_agreement":null},{"id":"W3195345713","doi":"10.24018/ejers.2021.6.5.2497","title":"Dynamic Modelling of a Solar Energy System with Vehicle to Home Option for Newfoundland Conditions","year":2021,"lang":"en","type":"article","venue":"European Journal of Engineering and Technology Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Battery (electricity); Engineering; Mode (computer interface); Automotive engineering; MATLAB; Software; Energy (signal processing); Photovoltaic system; Simulation; Electrical engineering; Power (physics); Computer science; Real-time computing; Operating system","score_opus":0.012153005086131144,"score_gpt":0.22595883754370047,"score_spread":0.21380583245756932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195345713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7855809,0.0005890187,0.07930083,0.00048556452,0.000096621996,0.00017982275,0.002414935,0.0008921845,0.13046013],"genre_scores_gemma":[0.9870187,0.00013527054,0.0010717771,0.000021954074,0.0000036968727,0.000046474648,0.00025307343,0.00001968003,0.011429443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999149,0.000012370062,0.000003395975,0.000017384928,0.00002146717,0.000030613162],"domain_scores_gemma":[0.99993813,0.00002058936,0.000010357947,0.0000046934465,0.000020787527,0.000005416269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009885469,0.00042739854,0.0004693457,0.00031052847,0.00074008096,0.0010558708,0.00050758215,0.000744645,0.005696306],"category_scores_gemma":[0.00017059245,0.00021436326,0.00056911865,0.00026332415,0.00038760266,0.00040648534,0.00036450595,0.0003870761,0.0005050549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008081451,0.000014766524,0.0016289259,0.000054080963,0.000018116358,0.00029677662,0.00008791922,0.9900215,0.0031056325,0.00090336613,0.00063611206,0.0031518778],"study_design_scores_gemma":[0.00001583519,0.000049133017,0.0033225715,0.000012500568,0.000020092877,0.000057215206,0.00012476993,0.99332315,0.0010901053,0.00022429069,0.0017472692,0.000013050578],"about_ca_topic_score_codex":0.20776775,"about_ca_topic_score_gemma":0.1735372,"teacher_disagreement_score":0.7922323,"about_ca_system_score_codex":0.0015498099,"about_ca_system_score_gemma":0.0009207425,"threshold_uncertainty_score":0.4131168},"labels":[],"label_agreement":null},{"id":"W3196449209","doi":"10.3390/wevj12030151","title":"Fuel Selections for Electrified Vehicles: A Well-to-Wheel Analysis","year":2021,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Greenhouse gas; Green vehicle; Electricity; Miles per gallon gasoline equivalent; Battery electric vehicle; Gasoline; Environmental science; Work (physics); Sustainability; Alternative fuel vehicle; Automotive engineering; Sustainable transport; Electric vehicle; Environmental economics; Fuel efficiency; Alternative fuels; Engineering; Diesel fuel; Waste management; Economics; Electrical engineering","score_opus":0.005976636185861627,"score_gpt":0.21813868374507953,"score_spread":0.2121620475592179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196449209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7594103,0.008144323,0.12892872,0.00051124924,0.00013526762,0.00018007193,0.002140033,0.00014812963,0.1004019],"genre_scores_gemma":[0.98318774,0.0018823323,0.006143683,0.000036342848,0.00001235856,0.000037988055,0.00056986895,0.000048299735,0.008081579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997359,0.000041232885,0.000011436383,0.00003868598,0.00011429726,0.00005843498],"domain_scores_gemma":[0.99982893,0.00006572927,0.000020817273,0.000009625786,0.000066109606,0.000008640539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043971904,0.0005095155,0.00032821263,0.002304635,0.00042537617,0.0015099583,0.00045668363,0.00042886473,0.0042561586],"category_scores_gemma":[0.0006447576,0.00018128201,0.0005708054,0.0012405501,0.0003096832,0.0021893596,0.0005360275,0.0002642396,0.0005163899],"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":[0.00062470546,0.00025453584,0.0523181,0.000762764,0.00026554157,0.0010358094,0.000295833,0.43171617,0.030167427,0.19340421,0.0040385807,0.28511634],"study_design_scores_gemma":[0.000032165528,0.0006388472,0.05524742,0.00024375248,0.0002608676,0.00041898436,0.003008012,0.70971626,0.040149,0.12402458,0.06605741,0.00020268356],"about_ca_topic_score_codex":0.004003817,"about_ca_topic_score_gemma":0.0076158964,"teacher_disagreement_score":0.0042561586,"about_ca_system_score_codex":0.00080207025,"about_ca_system_score_gemma":0.00030809653,"threshold_uncertainty_score":0.014238298},"labels":[],"label_agreement":null},{"id":"W3197248161","doi":"10.1109/tvt.2021.3107734","title":"Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":162,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Adaptability; Benchmark (surveying); Asynchronous communication; Energy management; Distributed computing; Key (lock); Distributed generation; Efficient energy use; Energy (signal processing); Artificial intelligence; Engineering; Computer network; Electrical engineering","score_opus":0.004562939050793364,"score_gpt":0.19409586736611872,"score_spread":0.18953292831532537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197248161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033452142,0.00032276707,0.961271,0.000299969,0.000058307356,0.000032446773,0.000025942025,0.00021474014,0.004322842],"genre_scores_gemma":[0.9731794,0.00013017932,0.024001736,0.00008742553,0.000018225814,0.00005135106,0.000035037756,0.00001799569,0.002478674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998375,0.000033710014,0.000007402361,0.000049170954,0.000037777154,0.00003439695],"domain_scores_gemma":[0.9997998,0.000073089235,0.00003068651,0.000012998072,0.00006228569,0.000021174064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047692758,0.00051272317,0.0004972796,0.00020786923,0.00032070527,0.0004909428,0.0008198281,0.000473759,0.0013076433],"category_scores_gemma":[0.0007716428,0.00022915816,0.00033576056,0.00021200014,0.00044268748,0.00064142863,0.00066221284,0.000707351,0.00013350832],"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":[0.00003717785,0.000037228157,0.00045214623,0.00002633269,0.000017662771,0.000026797054,0.000020048028,0.96284443,0.0013556809,0.005064875,0.0005637428,0.029553818],"study_design_scores_gemma":[0.000004705659,0.00001081353,0.000043528347,0.000001197994,0.0000025402396,0.0000029144437,0.0000025707247,0.9983639,0.00018542461,0.0012298303,0.00015109412,0.0000014214258],"about_ca_topic_score_codex":0.0066554407,"about_ca_topic_score_gemma":0.005560267,"teacher_disagreement_score":0.0066554407,"about_ca_system_score_codex":0.00083632575,"about_ca_system_score_gemma":0.0009496625,"threshold_uncertainty_score":0.013233423},"labels":[],"label_agreement":null},{"id":"W3197292007","doi":"10.1155/2021/9086229","title":"Bi-Objective Optimization for Vehicle Routing Problems with a Mixed Fleet of Conventional and Electric Vehicles and Soft Time Windows","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Vehicle routing problem; Purchasing; Sorting; Genetic algorithm; Weighting; Driving range; Operations research; Electric vehicle; Range (aeronautics); Routing (electronic design automation); Linear programming; Computer science; Mathematical optimization; Transport engineering; Engineering; Operations management; Algorithm; Mathematics","score_opus":0.003284545880452002,"score_gpt":0.1871741990587654,"score_spread":0.1838896531783134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197292007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046792068,0.0009587477,0.94615453,0.00035160856,0.00009497958,0.00015421121,0.00015974343,0.00010569217,0.0052284785],"genre_scores_gemma":[0.74945426,0.0013465906,0.23834844,0.00019035737,0.00009163485,0.00086214516,0.0003878164,0.000089316185,0.009229417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986767,0.00064458715,0.00006494658,0.00020372067,0.00022635792,0.00018360013],"domain_scores_gemma":[0.9991003,0.00058952,0.00013140064,0.000022760438,0.00009103124,0.0000650205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180762,0.0025847282,0.0017285568,0.0014218288,0.00072707416,0.0018520013,0.0015019086,0.0018472133,0.0026881874],"category_scores_gemma":[0.0022016733,0.0010630505,0.0015453427,0.0020056942,0.00069371646,0.0017593983,0.0012319173,0.001730288,0.00025666092],"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":[0.000026598438,0.000036596437,0.00020159279,0.000060495775,0.000052693747,0.000048125123,0.000015906817,0.9915269,0.00034904835,0.003183937,0.00017195163,0.0043261317],"study_design_scores_gemma":[0.0000070353058,0.000029699424,0.00007829287,0.000005030007,0.000010544318,0.00000840445,0.000011925874,0.9981148,0.00007853367,0.0014822215,0.00016939959,0.000003977083],"about_ca_topic_score_codex":0.0082482975,"about_ca_topic_score_gemma":0.007289571,"teacher_disagreement_score":0.0082482975,"about_ca_system_score_codex":0.0013894975,"about_ca_system_score_gemma":0.0017805175,"threshold_uncertainty_score":0.016400576},"labels":[],"label_agreement":null},{"id":"W3198254577","doi":"10.3390/vehicles3030034","title":"EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec","year":2021,"lang":"en","type":"article","venue":"Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Grid; Software deployment; Market penetration; Environmental science; Consumption (sociology); Peak demand; Automotive engineering; Probabilistic logic; Electric vehicle; Power consumption; Environmental economics; Computer science; Power (physics); Electrical engineering; Electricity; Engineering; Economics","score_opus":0.007113818706124044,"score_gpt":0.21342955145598408,"score_spread":0.20631573274986004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198254577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97889006,0.00022756745,0.0014970753,0.0007210908,0.00003902655,0.00005830042,0.0013838535,0.0001720399,0.017011108],"genre_scores_gemma":[0.99668866,0.000057201007,0.00029418044,0.00003949654,0.0000037540622,0.000005222428,0.0003872059,0.000012788283,0.0025115048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999577,0.000054723416,0.000010825987,0.000044071163,0.000081631326,0.00023178833],"domain_scores_gemma":[0.9993648,0.00010685196,0.00003676716,0.000033722878,0.00031980182,0.00013812173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055647,0.00040557998,0.00034721952,0.000749158,0.0015954451,0.0011062872,0.0014561164,0.0008884061,0.005431022],"category_scores_gemma":[0.0008161787,0.00013798923,0.00046874207,0.0011981541,0.0004995441,0.00047706827,0.0005682522,0.0005671127,0.00037494945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00150635,0.00085755315,0.39022857,0.0002668329,0.00027043425,0.023003928,0.0013607227,0.45903644,0.0066291504,0.016635988,0.047287967,0.05291613],"study_design_scores_gemma":[0.00007865377,0.00014733158,0.22529769,0.000041251555,0.000082076236,0.001067638,0.00791928,0.75223655,0.0018281029,0.0016619408,0.009532862,0.000106662184],"about_ca_topic_score_codex":0.8802155,"about_ca_topic_score_gemma":0.90215236,"teacher_disagreement_score":0.119784474,"about_ca_system_score_codex":0.009694138,"about_ca_system_score_gemma":0.0031146146,"threshold_uncertainty_score":0.24097979},"labels":[],"label_agreement":null},{"id":"W3199907927","doi":"10.1016/j.jclepro.2021.129052","title":"Regionalized climate footprints of battery electric vehicles in Europe","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Norges Forskningsråd","keywords":"Electricity; Battery (electricity); Environmental science; Production (economics); Internal combustion engine; Carbon footprint; Environmental economics; Fossil fuel; Battery electric vehicle; Climate change; Life-cycle assessment; Electricity generation; Electric vehicle; Greenhouse gas; Automotive engineering; Natural resource economics; Engineering; Waste management; Economics; Power (physics)","score_opus":0.007849092734407287,"score_gpt":0.20658647675708464,"score_spread":0.19873738402267735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199907927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933295,0.0002291213,0.0017735035,0.00003841836,0.000003784076,0.000006556473,0.0015643263,0.000050746974,0.0030040366],"genre_scores_gemma":[0.9980647,0.000090175265,0.00057825464,0.000012750978,0.0000015644226,0.0000070900473,0.0010111062,0.000017557175,0.00021690156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999818,0.00005815502,0.000009928865,0.000056655936,0.00002874106,0.000028597657],"domain_scores_gemma":[0.9997421,0.00006806285,0.000051177845,0.000048295693,0.00007652337,0.000013847747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051484886,0.00024064012,0.00024301518,0.00080747897,0.000111210735,0.0004991945,0.00026503362,0.000308279,0.0009087936],"category_scores_gemma":[0.0007937007,0.00010556549,0.00063952594,0.0009970901,0.00021351509,0.00052290695,0.0005611457,0.00015628368,0.00012290243],"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":[0.00048518722,0.00007096744,0.2771404,0.00013457624,0.0005800803,0.00040713252,0.00029634076,0.68302643,0.007607239,0.005359336,0.001422715,0.023469606],"study_design_scores_gemma":[0.00007189912,0.00024715406,0.81635803,0.00010056418,0.0003275078,0.00043580978,0.0010486337,0.14602615,0.013882651,0.006029638,0.0153661445,0.00010582555],"about_ca_topic_score_codex":0.0127512,"about_ca_topic_score_gemma":0.00818006,"teacher_disagreement_score":0.0127512,"about_ca_system_score_codex":0.00048351777,"about_ca_system_score_gemma":0.00015635567,"threshold_uncertainty_score":0.025353968},"labels":[],"label_agreement":null},{"id":"W3199935164","doi":"10.1109/icjece.2021.3093520","title":"EV Fleet as Virtual Battery Resource for Community Microgrid Energy Storage Planning","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Queueing theory; Battery (electricity); Energy storage; Sizing; Computer science; Grid; Queue; Electric vehicle; Photovoltaic system; Markov chain; Automotive engineering; Vehicle-to-grid; Operations research; Renewable energy; Electrical engineering; Engineering; Computer network","score_opus":0.005209654433394603,"score_gpt":0.16979746598583328,"score_spread":0.16458781155243868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199935164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32083732,0.0005320658,0.650662,0.0005831133,0.0000829345,0.00025419885,0.0011857041,0.00054444245,0.025318226],"genre_scores_gemma":[0.97766894,0.00013466389,0.0197453,0.000013959794,0.0000062725626,0.00005950481,0.00022545614,0.000026949221,0.0021189402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984825,0.000050848557,0.0000053035606,0.000026031503,0.00003268646,0.00003699865],"domain_scores_gemma":[0.9997799,0.00008468948,0.000024570265,0.000015044734,0.000054546308,0.000041260188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036504166,0.0003940411,0.00037084182,0.00052615546,0.00033760845,0.00073515513,0.00078296,0.0003576739,0.0042429953],"category_scores_gemma":[0.0009074048,0.00029872672,0.00034732444,0.00060695695,0.00019865604,0.0012525504,0.00062013796,0.00043480558,0.00020415075],"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":[0.00003050187,0.000012296198,0.0006537629,0.000016546108,0.000009082321,0.000047470516,0.000013189895,0.9865263,0.000313312,0.003541547,0.0004320235,0.008403857],"study_design_scores_gemma":[0.0000024670285,0.0000142739345,0.00018170806,0.0000048743073,0.000003803035,0.000008872613,0.000031360236,0.9967842,0.00014733887,0.0023234035,0.00049428083,0.0000032704427],"about_ca_topic_score_codex":0.011780674,"about_ca_topic_score_gemma":0.019799849,"teacher_disagreement_score":0.011780674,"about_ca_system_score_codex":0.000780075,"about_ca_system_score_gemma":0.0011678938,"threshold_uncertainty_score":0.023424208},"labels":[],"label_agreement":null},{"id":"W3200116459","doi":"10.1109/jsyst.2021.3104185","title":"Assisting Residential Distribution Grids in Overcoming Large-Scale EV Preconditioning Load","year":2021,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hitachi (Canada); Concordia University","funders":"Hydro-Québec; Concordia University","keywords":"Control reconfiguration; Idle; Voltage; Schedule; Grid; Automotive engineering; Power (physics); Computer science; Engineering; Reliability engineering; Electrical engineering; Mathematics; Embedded system","score_opus":0.005846727840288497,"score_gpt":0.21224920551226648,"score_spread":0.20640247767197797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200116459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64681494,0.0003734922,0.33164373,0.00031847222,0.00006528085,0.00017777529,0.00009709507,0.0020457646,0.018463446],"genre_scores_gemma":[0.9938014,0.00003287181,0.0054897023,0.000018925688,0.0000029004057,0.000013608411,0.000018250434,0.000008905416,0.0006135833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.00006707947,0.0000042305746,0.00001844506,0.00002572909,0.000046505957],"domain_scores_gemma":[0.9998481,0.000046862286,0.00002842916,0.000022977734,0.000028609047,0.00002496749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032833533,0.00062175473,0.00035488605,0.00019252612,0.0002692642,0.00045853227,0.0005456996,0.00046554886,0.0012298159],"category_scores_gemma":[0.00029679775,0.00010712091,0.00022483399,0.00019467759,0.0002486112,0.00040382438,0.00048717143,0.00027042732,0.00018273719],"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":[0.0004463785,0.00016572158,0.003072803,0.00013537079,0.000032200947,0.00046028415,0.000102302874,0.91676444,0.015756195,0.0020388965,0.0014511385,0.05957436],"study_design_scores_gemma":[0.000028590384,0.00021380305,0.00087806466,0.0000060563693,0.0000163346,0.00006102546,0.00009675509,0.9932153,0.0036320705,0.0009657495,0.00087867485,0.0000076110737],"about_ca_topic_score_codex":0.0027795448,"about_ca_topic_score_gemma":0.0040879105,"teacher_disagreement_score":0.0027795448,"about_ca_system_score_codex":0.00032877133,"about_ca_system_score_gemma":0.00040326006,"threshold_uncertainty_score":0.0055267215},"labels":[],"label_agreement":null},{"id":"W3200829604","doi":"","title":"Une unité de production hybride solaire/hydrogène pour remplacer votre petite génératrice diésel?","year":2019,"lang":"fr","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Mathematics","score_opus":0.004467477352901035,"score_gpt":0.1911670200156435,"score_spread":0.18669954266274247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200829604","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4867252,0.035455506,0.1524278,0.008726189,0.004272853,0.0011286897,0.003387319,0.003972182,0.30390424],"genre_scores_gemma":[0.6929165,0.0083237,0.060307063,0.00091766706,0.00024644815,0.00030936179,0.001657257,0.0004690924,0.23485295],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995747,0.00004174802,0.000013903092,0.00011197992,0.00017726356,0.000080354606],"domain_scores_gemma":[0.9998054,0.00002180977,0.000015967404,0.000041497427,0.00008108214,0.000034325916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086753163,0.0005298687,0.00062030705,0.00064550654,0.0013700717,0.0017908016,0.00093988876,0.00097505737,0.015124114],"category_scores_gemma":[0.0003889407,0.00034805218,0.000589297,0.0007162075,0.0007631152,0.0014899416,0.0008499228,0.00094511645,0.0039731734],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013661493,0.00042309586,0.004636288,0.0014795811,0.0001373345,0.0011937341,0.0011209733,0.0070995647,0.61225986,0.049352888,0.025380893,0.29554957],"study_design_scores_gemma":[0.00012591967,0.0009578125,0.005151122,0.00018787337,0.00012682512,0.0005058077,0.0006809561,0.007957891,0.43132633,0.0029583266,0.5499335,0.0000876135],"about_ca_topic_score_codex":0.038749453,"about_ca_topic_score_gemma":0.08760306,"teacher_disagreement_score":0.96125054,"about_ca_system_score_codex":0.0034724276,"about_ca_system_score_gemma":0.002284735,"threshold_uncertainty_score":0.077047825},"labels":[],"label_agreement":null},{"id":"W3203811252","doi":"10.1186/s42162-021-00159-3","title":"Electric vehicles as distribution grid batteries: a reality check","year":2021,"lang":"en","type":"article","venue":"Energy Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Remuneration; Electricity; Electric vehicle; Grid; Vehicle-to-grid; Profit (economics); Environmental economics; Energy storage; Electricity market; Computer science; Transport engineering; Business; Automotive engineering; Electrical engineering; Economics; Finance; Engineering; Microeconomics","score_opus":0.004685412881491414,"score_gpt":0.19171350880925364,"score_spread":0.18702809592776223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203811252","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24038407,0.047499523,0.13784291,0.15816636,0.0044503873,0.00006364052,0.0032599205,0.00095340994,0.40737978],"genre_scores_gemma":[0.9598533,0.012967611,0.007858408,0.0018789149,0.00054540485,0.000019064935,0.00044661525,0.000097449265,0.01633329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997129,0.0001087929,0.000008730379,0.000047723537,0.00009634859,0.000025611185],"domain_scores_gemma":[0.9993573,0.00027918204,0.00008216004,0.00008292882,0.00015092145,0.00004742984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005620439,0.00050345383,0.00031866936,0.00037841251,0.0003708786,0.0026803853,0.00074652646,0.001130605,0.008349123],"category_scores_gemma":[0.00203295,0.00019682116,0.00031418176,0.0005400633,0.0008870647,0.0056306683,0.001072812,0.0018134415,0.0013302212],"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":[0.00011103778,0.000060495262,0.0035987173,0.00014487306,0.000029810835,0.000355257,0.00011797287,0.08759338,0.0004913331,0.8281121,0.03164964,0.047735248],"study_design_scores_gemma":[0.000038378854,0.000113564856,0.0031814547,0.000571415,0.00003347297,0.00039786717,0.000773088,0.14901787,0.00094739016,0.63024426,0.21461406,0.00006717544],"about_ca_topic_score_codex":0.004931354,"about_ca_topic_score_gemma":0.0034382867,"teacher_disagreement_score":0.008349123,"about_ca_system_score_codex":0.0009312242,"about_ca_system_score_gemma":0.000472765,"threshold_uncertainty_score":0.027930617},"labels":[],"label_agreement":null},{"id":"W3205788484","doi":"10.1038/d41586-021-02760-8","title":"Make electric vehicles lighter to maximize climate and safety benefits","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Aeronautics; Engineering","score_opus":0.0031675297364914326,"score_gpt":0.1911933054698077,"score_spread":0.18802577573331627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205788484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6368118,0.0014199816,0.1053215,0.0069188406,0.001242371,0.00012502816,0.0003982537,0.0009846789,0.24677747],"genre_scores_gemma":[0.9298329,0.0009499749,0.015291474,0.00093206594,0.00016145293,0.00003989599,0.00018792812,0.00025723156,0.052347057],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998449,0.000016994336,0.00000451145,0.000025932353,0.000073174895,0.00003448471],"domain_scores_gemma":[0.9997516,0.000031774623,0.00005663953,0.00002550476,0.000100942765,0.00003358797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017783922,0.00045957393,0.00018193484,0.00046699803,0.00043196266,0.00083758705,0.00045744475,0.0005321312,0.010870499],"category_scores_gemma":[0.000669169,0.00014538865,0.00026405323,0.00034631122,0.0004658232,0.0011952161,0.00062621984,0.00049512327,0.0025116487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057190564,0.00086799054,0.010755858,0.00095580774,0.00021612896,0.0003659297,0.00053126586,0.032299317,0.49035862,0.102277234,0.01730756,0.34349236],"study_design_scores_gemma":[0.00027356166,0.001092681,0.03190456,0.00026844212,0.0004952698,0.00078186323,0.002705407,0.022158317,0.41209775,0.15482765,0.3732662,0.00012828219],"about_ca_topic_score_codex":0.0011954916,"about_ca_topic_score_gemma":0.0034502575,"teacher_disagreement_score":0.010870499,"about_ca_system_score_codex":0.00043012717,"about_ca_system_score_gemma":0.00054755755,"threshold_uncertainty_score":0.03636539},"labels":[],"label_agreement":null},{"id":"W3205850702","doi":"10.3390/en14206589","title":"Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Voltage; State of charge; Electric power system; Computer science; Mathematical optimization; Optimization problem; Extreme value theory; Power (physics); Control theory (sociology); Engineering; Electrical engineering; Algorithm; Mathematics; Artificial intelligence","score_opus":0.014571760356323422,"score_gpt":0.23022533068102075,"score_spread":0.2156535703246973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205850702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9252288,0.00015411824,0.06734421,0.00017247161,0.000042015014,0.000038418315,0.00008017203,0.00023614442,0.0067036604],"genre_scores_gemma":[0.9981865,0.000020933621,0.0015664381,0.000009879784,0.0000016592967,0.0000037233374,0.000027074671,0.0000076022898,0.00017616843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946207,0.00017413727,0.000022087444,0.00006746657,0.00011195534,0.00016229505],"domain_scores_gemma":[0.99845624,0.0009600488,0.00016469198,0.00011623367,0.00020280427,0.000099877216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086034666,0.0005651669,0.00040394434,0.0003703313,0.00044225788,0.0012608891,0.0004223869,0.000733395,0.0010218755],"category_scores_gemma":[0.0034104167,0.00023568032,0.00041277905,0.00029226535,0.00047478004,0.0011191976,0.00078489515,0.0005921698,0.00011614616],"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":[0.00037508944,0.00007649865,0.008202718,0.00005883466,0.000043632157,0.00031038112,0.00007659566,0.961506,0.0061621056,0.0020356553,0.00039750422,0.020755043],"study_design_scores_gemma":[0.000019802279,0.00021344569,0.0055911923,0.000012031669,0.000031837077,0.000117689895,0.00019513122,0.98386234,0.0076209987,0.0018851281,0.00042883755,0.000021614047],"about_ca_topic_score_codex":0.0039862683,"about_ca_topic_score_gemma":0.0031577623,"teacher_disagreement_score":0.0039862683,"about_ca_system_score_codex":0.0006468928,"about_ca_system_score_gemma":0.0003969623,"threshold_uncertainty_score":0.007926106},"labels":[],"label_agreement":null},{"id":"W3206293629","doi":"10.1155/2021/3030050","title":"Path Planning Method for Electric Vehicles Based on Freeway Network","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Electric vehicle; Shortest path problem; Range (aeronautics); Computer science; Path (computing); Genetic algorithm; Transport engineering; Driving range; Automotive engineering; Engineering; Computer network; Power (physics)","score_opus":0.005959840426684888,"score_gpt":0.24014774314094745,"score_spread":0.23418790271426257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206293629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075094094,0.0003142608,0.9871395,0.00014575901,0.000049139577,0.00008934396,0.00014150316,0.0001934759,0.004417557],"genre_scores_gemma":[0.51968735,0.001256955,0.46196038,0.00011171952,0.000057924735,0.00064875564,0.0008238723,0.00019954525,0.015253551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995902,0.000097368946,0.000018398507,0.000121195175,0.00009994203,0.0000729079],"domain_scores_gemma":[0.9995974,0.00020218799,0.00003845717,0.000015652413,0.0001226732,0.00002372796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053150865,0.0012012183,0.0008054344,0.00121435,0.0009904183,0.0010658,0.0012954354,0.00083714066,0.0071771736],"category_scores_gemma":[0.0011977188,0.00066046824,0.0013751194,0.0013233798,0.0006174904,0.0015433333,0.00088288984,0.0009544166,0.00054406107],"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":[0.000029164445,0.000013922159,0.00037855687,0.00008322459,0.00002057919,0.00007029433,0.0000806902,0.9584403,0.00054070615,0.012584613,0.0010582904,0.026699578],"study_design_scores_gemma":[0.000009963306,0.00002090476,0.000081299026,0.0000089005935,0.000009576063,0.000027594706,0.00003642664,0.9913611,0.00026428048,0.006380814,0.0017901845,0.000008964962],"about_ca_topic_score_codex":0.031877387,"about_ca_topic_score_gemma":0.022419887,"teacher_disagreement_score":0.031877387,"about_ca_system_score_codex":0.0016853758,"about_ca_system_score_gemma":0.0026572808,"threshold_uncertainty_score":0.0633837},"labels":[],"label_agreement":null},{"id":"W3206446222","doi":"10.5592/co/cetra.2020.1299","title":"Charging power optimisation for electric buses at terminals","year":2021,"lang":"en","type":"article","venue":"Road and rail infrastructure","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Power (physics); Electric power; Linear programming; Integer programming; Automotive engineering; Total cost; Charging station; Public transport; Operating cost; Power system simulation; Electric vehicle; Service (business); Unit (ring theory); Computer science; Electrical engineering; Electric power system; Engineering; Transport engineering; Business","score_opus":0.004608403774162986,"score_gpt":0.20395549316322772,"score_spread":0.19934708938906473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206446222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19881764,0.0007620861,0.7425426,0.0006140359,0.000121981924,0.00025438,0.0009169101,0.000602408,0.05536805],"genre_scores_gemma":[0.95991963,0.000279468,0.019072,0.000057198235,0.000015706612,0.00014700982,0.0002978004,0.00009321158,0.020118114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961346,0.00012391084,0.000010456388,0.00005917646,0.00007590224,0.00011704821],"domain_scores_gemma":[0.9996487,0.00019836465,0.000043625707,0.0000131001225,0.00006990914,0.000026331716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781397,0.000913569,0.0010748099,0.0005468495,0.00042035032,0.0016555602,0.0009515107,0.00130499,0.007254102],"category_scores_gemma":[0.00146938,0.0007515763,0.0011794801,0.0008727816,0.0005179047,0.00096735905,0.0007628567,0.0013825076,0.00070036197],"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":[0.00002463116,0.0000117387335,0.00012759207,0.000020618629,0.0000064066253,0.000031995663,0.000009163416,0.9958988,0.00029264527,0.0014788567,0.00022888667,0.0018686407],"study_design_scores_gemma":[0.000006890986,0.000022231652,0.00010761957,0.000004954902,0.0000056038334,0.000009083307,0.000013810503,0.99821496,0.00016886284,0.0010324569,0.0004103066,0.0000031608108],"about_ca_topic_score_codex":0.014254985,"about_ca_topic_score_gemma":0.010645503,"teacher_disagreement_score":0.014254985,"about_ca_system_score_codex":0.0016480357,"about_ca_system_score_gemma":0.0014149601,"threshold_uncertainty_score":0.028344035},"labels":[],"label_agreement":null},{"id":"W3208770835","doi":"10.14288/1.0392599","title":"Overcoming Obstacles to Widespread EV Charging in Strata-Owned Condos at UBC","year":2020,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Geography; Computer science; Geology","score_opus":0.007731191543788813,"score_gpt":0.16060549933798018,"score_spread":0.15287430779419137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208770835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83106285,0.0008084276,0.0024937373,0.0086694285,0.0001173758,0.0002749107,0.0004553663,0.00021067023,0.15590721],"genre_scores_gemma":[0.95317626,0.0010871332,0.002230894,0.00069872686,0.000014772874,0.000087609944,0.0003179997,0.00006976745,0.04231684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914205,0.000121530335,0.000017971188,0.000055024935,0.00033130494,0.0003320733],"domain_scores_gemma":[0.9976494,0.0005416358,0.00011984606,0.00010835712,0.0009401566,0.0006405664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045893,0.00013460049,0.0001064651,0.00059074815,0.0049986,0.0037764213,0.00094533706,0.00056066614,0.00730552],"category_scores_gemma":[0.0039328267,0.0001729981,0.00014248239,0.0010350691,0.0012171598,0.0012914957,0.001779988,0.0010657954,0.00058463233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058603776,0.0005358505,0.18586671,0.0009124739,0.00007263826,0.0072693494,0.039857067,0.0039479854,0.010837317,0.07265287,0.1553416,0.5221202],"study_design_scores_gemma":[0.000071771225,0.00031667645,0.26200727,0.0010334933,0.000084611536,0.00084845023,0.165523,0.004948183,0.0068814745,0.011271952,0.5468896,0.00012362437],"about_ca_topic_score_codex":0.6734109,"about_ca_topic_score_gemma":0.91846853,"teacher_disagreement_score":0.3265891,"about_ca_system_score_codex":0.012938126,"about_ca_system_score_gemma":0.030116713,"threshold_uncertainty_score":0.65702486},"labels":[],"label_agreement":null},{"id":"W3209363420","doi":"10.3389/frsc.2021.674848","title":"Integrated Transportation, Building, and Electricity System Models to Explore Decarbonization Pathways in Regina, Saskatchewan","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"University of Toronto; David Suzuki Foundation","keywords":"Renewable energy; Flexibility (engineering); Electricity; Environmental economics; Greenhouse gas; Variable renewable energy; Context (archaeology); Supply and demand; Demand patterns; Demand management; Business; Electric power system; Engineering; Economics","score_opus":0.007695630205704324,"score_gpt":0.17865820340404148,"score_spread":0.17096257319833716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209363420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9346879,0.00041287186,0.012056561,0.0006839818,0.000055155833,0.00015708554,0.0041957665,0.0002466137,0.04750402],"genre_scores_gemma":[0.984583,0.00030026893,0.0040868693,0.0000898743,0.000006165638,0.000093241186,0.0013269944,0.00003551282,0.009477988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997485,0.000075367505,0.000009266476,0.000046791978,0.000026110303,0.00009396344],"domain_scores_gemma":[0.9996573,0.00013659718,0.000030804953,0.000026406506,0.00010002512,0.00004902243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038723295,0.00094620034,0.00059895846,0.00066838955,0.0009520539,0.0018706182,0.0018559139,0.0012076596,0.0040761344],"category_scores_gemma":[0.0007868351,0.0006549069,0.0011353218,0.0012003348,0.00065796834,0.00069930387,0.0012070547,0.0011260267,0.00038563192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003772567,0.000048428657,0.0047131507,0.000013466377,0.000047541358,0.000095699004,0.000034144698,0.99030685,0.00025531126,0.0025014745,0.00044975383,0.0014963826],"study_design_scores_gemma":[0.000032019092,0.0000210811,0.0038164028,0.000012902876,0.00003477914,0.000011702757,0.0002793521,0.993089,0.00016590222,0.000960822,0.0015574589,0.000018596094],"about_ca_topic_score_codex":0.8685556,"about_ca_topic_score_gemma":0.8878433,"teacher_disagreement_score":0.1314444,"about_ca_system_score_codex":0.012737264,"about_ca_system_score_gemma":0.008673222,"threshold_uncertainty_score":0.26443696},"labels":[],"label_agreement":null},{"id":"W3210326786","doi":"10.1257/pol.20190131","title":"Network Externality and Subsidy Structure in Two-Sided Markets: Evidence from Electric Vehicle Incentives","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Subsidy; Externality; Liberian dollar; Counterfactual thinking; Incentive; Economics; Network effect; Electric vehicle; Microeconomics; Business; Finance; Market economy","score_opus":0.005458517549250105,"score_gpt":0.23638546805051114,"score_spread":0.23092695050126102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210326786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97794414,0.0009032091,0.0033726052,0.0010083384,0.000043284566,0.00006588939,0.0010466332,0.00003153028,0.015584398],"genre_scores_gemma":[0.9977761,0.00021388708,0.0001862074,0.0000963751,0.000019854982,0.000013839033,0.0002825114,0.000006876864,0.0014042663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978531,0.000982579,0.00010177104,0.00036761438,0.00032623866,0.00036859678],"domain_scores_gemma":[0.9683344,0.01590211,0.012630664,0.0010349007,0.0009807446,0.0011173027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031566732,0.00022675737,0.0005170445,0.000663604,0.0004886334,0.0017014552,0.00071689644,0.00097308436,0.012798721],"category_scores_gemma":[0.016722845,0.00023653825,0.0006047091,0.00096686947,0.0019135053,0.0029799843,0.0015621113,0.0012382175,0.00064148026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028636972,0.0018867832,0.79444206,0.00050497486,0.0007751278,0.0014960078,0.0010955757,0.04861122,0.0016866707,0.088066556,0.008062045,0.050509274],"study_design_scores_gemma":[0.0011126816,0.0018081544,0.8573464,0.00031637822,0.0006104579,0.00052722765,0.0041117296,0.057287514,0.0017563315,0.05186541,0.023122646,0.0001350584],"about_ca_topic_score_codex":0.016623536,"about_ca_topic_score_gemma":0.017311618,"teacher_disagreement_score":0.016623536,"about_ca_system_score_codex":0.0013832703,"about_ca_system_score_gemma":0.00083585654,"threshold_uncertainty_score":0.042815983},"labels":[],"label_agreement":null},{"id":"W3210835446","doi":"10.1016/j.epsr.2021.107645","title":"Energy management using multi-criteria decision making and machine learning classification algorithms for intelligent system","year":2021,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"TOPSIS; Algorithm; Computer science; Renewable energy; Random forest; Ideal solution; Machine learning; Artificial intelligence; Wind power; Data mining; Engineering; Operations research","score_opus":0.07020099116547045,"score_gpt":0.34568722797206713,"score_spread":0.2754862368065967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210835446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01963129,0.0008005755,0.97641194,0.00032837634,0.00010719491,0.00009126668,0.000041521682,0.00015368276,0.0024341065],"genre_scores_gemma":[0.7209473,0.00047921608,0.27611923,0.00010984601,0.0001080154,0.00021378831,0.000104312014,0.000048372476,0.0018699047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975739,0.0013488305,0.00017605646,0.00024303669,0.0005087745,0.00014945878],"domain_scores_gemma":[0.99624264,0.0027110807,0.00027714417,0.00012230781,0.0005823072,0.00006454567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00500045,0.0011553955,0.0018309646,0.001514436,0.0007535377,0.002236195,0.0011580752,0.0014560977,0.0017617028],"category_scores_gemma":[0.0073689357,0.0004929103,0.0012285215,0.0014881961,0.00090569764,0.0019600312,0.0009107279,0.0017642783,0.00019988592],"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":[0.00010698358,0.00014422846,0.0005842818,0.00012341114,0.00013263008,0.000040275096,0.000058995967,0.92179376,0.0006086292,0.012627574,0.00079850666,0.06298075],"study_design_scores_gemma":[0.000007249739,0.00002168548,0.00008782544,0.000009177107,0.00000859539,0.0000033637534,0.000006042233,0.99436086,0.00016531943,0.005205501,0.000119550634,0.0000047542685],"about_ca_topic_score_codex":0.0072271302,"about_ca_topic_score_gemma":0.004213229,"teacher_disagreement_score":0.0072271302,"about_ca_system_score_codex":0.0018932456,"about_ca_system_score_gemma":0.0012274652,"threshold_uncertainty_score":0.02644527},"labels":[],"label_agreement":null},{"id":"W3210849085","doi":"10.1109/access.2021.3123901","title":"Mathematical Model for the Placement of Hydrogen Refueling Stations to Support Future Fuel Cell Trucks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Geospatial analysis; Transport engineering; Computer science; Renewable energy; Geographic information system; Environmental science; Hydrogen vehicle; Operations research; Hydrogen fuel; Fuel cells; Engineering; Automotive engineering","score_opus":0.020450943061328265,"score_gpt":0.2774589113367662,"score_spread":0.2570079682754379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210849085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024762599,0.0011760939,0.9107526,0.0017683159,0.0002264448,0.00027126409,0.0027015847,0.00043142287,0.057909746],"genre_scores_gemma":[0.76821697,0.0033341234,0.1542577,0.00061022793,0.00018144515,0.0020457346,0.0029864667,0.00026249784,0.06810491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951065,0.00012665652,0.00002379476,0.00011697826,0.00010982584,0.000112090274],"domain_scores_gemma":[0.99893576,0.0005647488,0.0001454996,0.000029247374,0.00026724054,0.000057507004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063971,0.0013450979,0.0012011926,0.0011226892,0.0009156762,0.0027036655,0.0023395135,0.0024959429,0.011657344],"category_scores_gemma":[0.0026283758,0.0009932725,0.0015936657,0.0013935135,0.0010399087,0.0015436977,0.0015064942,0.0018752303,0.0021413257],"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":[0.000012599917,0.000014106729,0.00031909245,0.000043524902,0.000007313347,0.00007690677,0.000029178967,0.9851276,0.0002733338,0.011215431,0.0009329503,0.0019479601],"study_design_scores_gemma":[0.000011927377,0.00001743462,0.00012444908,0.000013826594,0.000009826935,0.000016593593,0.000035813115,0.9940673,0.00008330397,0.0039500594,0.0016616111,0.0000078752855],"about_ca_topic_score_codex":0.034296986,"about_ca_topic_score_gemma":0.017121447,"teacher_disagreement_score":0.034296986,"about_ca_system_score_codex":0.003051291,"about_ca_system_score_gemma":0.0025488376,"threshold_uncertainty_score":0.06819475},"labels":[],"label_agreement":null},{"id":"W3211233840","doi":"10.1016/j.jclepro.2021.129512","title":"Manufacturing value chain for battery electric vehicles in Pakistan: An assessment of capabilities and transition pathways","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Upstream (networking); Context (archaeology); Downstream (manufacturing); Value chain; Developing country; Greenhouse gas; Business; Environmental economics; Supply chain; Industrial organization; Marketing; Engineering; Economics; Telecommunications; Economic growth","score_opus":0.008171547650543634,"score_gpt":0.25090942478428896,"score_spread":0.24273787713374534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211233840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858754,0.000100345205,0.0003672103,0.0003356195,0.0000038056805,0.000037030728,0.00050632027,0.0000071690197,0.012767035],"genre_scores_gemma":[0.9987017,0.00009365751,0.00018548593,0.000009604193,5.9891494e-7,0.0000046944165,0.00016472244,8.590825e-7,0.0008385931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996495,0.000033713673,0.000017804528,0.000033752018,0.00007758358,0.00018770652],"domain_scores_gemma":[0.99862504,0.00033851928,0.00030114045,0.000029836256,0.00048396728,0.00022148911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040637585,0.00019544963,0.000116214964,0.0015631425,0.00126691,0.0026638932,0.00046110558,0.00041938777,0.0047298614],"category_scores_gemma":[0.0011145842,0.0002069163,0.00032556834,0.0029099598,0.00058449974,0.0025413008,0.00128557,0.00057105,0.00039924888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006262517,0.00043540765,0.81055063,0.00032529613,0.00009739192,0.0067891935,0.010495696,0.024399387,0.0038672723,0.05644536,0.0029760986,0.082992],"study_design_scores_gemma":[0.000030469348,0.00070841366,0.83130854,0.0003352247,0.000113933784,0.00096075237,0.09348012,0.0341445,0.003347358,0.015371697,0.020069169,0.00012981564],"about_ca_topic_score_codex":0.103144,"about_ca_topic_score_gemma":0.121170856,"teacher_disagreement_score":0.103144,"about_ca_system_score_codex":0.005053339,"about_ca_system_score_gemma":0.0044074007,"threshold_uncertainty_score":0.20508724},"labels":[],"label_agreement":null},{"id":"W3211790103","doi":"10.1109/iecon48115.2021.9589536","title":"Distribution Factor Assessment for PEVs Charging Stations with V2G Capability in Power Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Schneider Electric","keywords":"Sizing; Charging station; Power factor; Grid; Automotive engineering; Penetration (warfare); Electric power system; Electrical engineering; Vehicle-to-grid; Power (physics); Distribution grid; AC power; Voltage; Smart grid; Computer science; Electric vehicle; Engineering; Mathematics; Operations research; Physics; Chemistry","score_opus":0.006080896465740368,"score_gpt":0.2281045218984003,"score_spread":0.22202362543265994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211790103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6526684,0.0010421542,0.3350771,0.00018729697,0.000038155107,0.00012907942,0.00019859457,0.0003090147,0.010350243],"genre_scores_gemma":[0.9967104,0.00012939947,0.002785692,0.0000050268013,0.000004310383,0.000007982601,0.00003376897,0.000009691548,0.00031383926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996575,0.000121963625,0.000017305776,0.000044171415,0.00010006521,0.00005897337],"domain_scores_gemma":[0.9990208,0.00058461,0.000098465,0.000052438743,0.0002170876,0.000026593982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079514016,0.00077188876,0.00035699547,0.0008529726,0.00037932544,0.000805588,0.00042166072,0.00060635625,0.0015354574],"category_scores_gemma":[0.00320317,0.0002220538,0.0006395375,0.0007988959,0.00034157743,0.0009656373,0.00039677485,0.00037897337,0.0001614474],"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":[0.00024360919,0.000036381858,0.006243247,0.00010845873,0.000035010955,0.00018215807,0.000056354107,0.9577788,0.004233695,0.0020372611,0.0003519921,0.028693024],"study_design_scores_gemma":[0.000011753041,0.00023062206,0.0036993432,0.000018325183,0.00003635962,0.00009907766,0.00011649334,0.99204004,0.0020137134,0.0011591519,0.00056346605,0.000011588275],"about_ca_topic_score_codex":0.006568315,"about_ca_topic_score_gemma":0.004634203,"teacher_disagreement_score":0.006568315,"about_ca_system_score_codex":0.0009991918,"about_ca_system_score_gemma":0.00040195876,"threshold_uncertainty_score":0.0130601525},"labels":[],"label_agreement":null},{"id":"W3211865118","doi":"10.46830/wriwp.21.00053","title":"Electrifying Ride-Hailing in the United States, Europe, and Canada: How to Enable Ride-Hailing Drivers to Switch to Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Incentive; Business; Alternative fuel vehicle; Stock (firearms); Electric vehicle; Transport engineering; Finance; Engineering; Alternative fuels; Electricity; Economics; Automotive engineering","score_opus":0.005838098790871389,"score_gpt":0.18199836391192228,"score_spread":0.1761602651210509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211865118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96308994,0.00035511295,0.0009981145,0.0013032972,0.000023347216,0.0002056279,0.0015871694,0.00003488705,0.03240246],"genre_scores_gemma":[0.99361897,0.00035989558,0.0013391728,0.00011576214,0.0000028053566,0.000046795423,0.0013507243,0.0000073011065,0.003158643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986058,0.00015526886,0.000051499,0.00008633932,0.0006424597,0.00045857375],"domain_scores_gemma":[0.9945127,0.0003498201,0.00035573193,0.00011577403,0.0037740995,0.0008918941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016758466,0.0003719318,0.00025590492,0.0018512118,0.0018091635,0.0025006582,0.00067869964,0.00028808825,0.0018846617],"category_scores_gemma":[0.007881165,0.000112456924,0.00033548713,0.0037948054,0.0009213845,0.0012093241,0.0010414633,0.0005553563,0.00017908192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000320933,0.000478184,0.7980074,0.00019375134,0.00021453763,0.00015347851,0.0036129954,0.006248909,0.00052005105,0.009452989,0.017290065,0.16350661],"study_design_scores_gemma":[0.00003609269,0.00014557662,0.95277494,0.00014264918,0.000117667674,0.000029492398,0.015981141,0.005098044,0.0010660467,0.00079750054,0.0237404,0.000070366455],"about_ca_topic_score_codex":0.98478764,"about_ca_topic_score_gemma":0.9923758,"teacher_disagreement_score":0.024911165,"about_ca_system_score_codex":0.024911165,"about_ca_system_score_gemma":0.052714594,"threshold_uncertainty_score":0.18074399},"labels":[],"label_agreement":null},{"id":"W3212620435","doi":"10.1109/access.2021.3128491","title":"Performance Analysis of LSTMs for Daily Individual EV Charging Behavior Prediction","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Duration (music); Performance prediction; Training set; Term (time); Work (physics); Artificial intelligence; Real-time computing; Machine learning; Simulation; Engineering","score_opus":0.018072374624637327,"score_gpt":0.2573686841178203,"score_spread":0.239296309493183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212620435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8178334,0.005640777,0.16098428,0.0016564647,0.0005803497,0.000087986125,0.0013279417,0.0052307993,0.006658056],"genre_scores_gemma":[0.9811507,0.00045145385,0.016135477,0.00013862234,0.000043793978,0.000039383413,0.00088939024,0.000053263295,0.0010979429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937445,0.00016803957,0.000058993286,0.00014766752,0.00013664359,0.000114304334],"domain_scores_gemma":[0.9980573,0.001245301,0.00011243632,0.00012302742,0.00039172338,0.00007019637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002075087,0.001345262,0.0007423024,0.0007360479,0.00038661438,0.0006243286,0.00085517793,0.001085191,0.0015136343],"category_scores_gemma":[0.0060310094,0.00027436545,0.00045893173,0.0006694781,0.00030165623,0.0015526859,0.0005838169,0.0014093395,0.0006186798],"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":[0.0010932691,0.00039004098,0.013730013,0.0003371082,0.00031505566,0.00022477031,0.00017054951,0.61906123,0.011222414,0.0010612756,0.004474233,0.34792003],"study_design_scores_gemma":[0.0000056807858,0.00008159805,0.0011189077,0.000010557775,0.00001583781,0.000023333838,0.000027186265,0.9953832,0.0028150065,0.00033341904,0.00017692188,0.0000083329915],"about_ca_topic_score_codex":0.014139413,"about_ca_topic_score_gemma":0.011723389,"teacher_disagreement_score":0.014139413,"about_ca_system_score_codex":0.0009781925,"about_ca_system_score_gemma":0.0009492257,"threshold_uncertainty_score":0.0281142},"labels":[],"label_agreement":null},{"id":"W3213392582","doi":"10.1115/1.4052921","title":"Hydrogen Gas Refueling Infrastructure for Heavy-Duty Trucks: A Feasibility Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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":"Truck; Hydrogen vehicle; Compressed natural gas; Environmental science; Zero emission; Criteria air contaminants; Diesel fuel; Greenhouse gas; Compressed hydrogen; Environmental economics; Hydrogen fuel; Business; Waste management; Transport engineering; Hydrogen; Automotive engineering; Engineering; Hydrogen storage; Air pollutants; Air pollution; Fuel cells; Economics","score_opus":0.005043923451773922,"score_gpt":0.21422175550901498,"score_spread":0.20917783205724105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213392582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820587,0.00007140513,0.009793837,0.00011412641,0.000007817033,0.00045111123,0.00047145394,0.00004499554,0.0069865277],"genre_scores_gemma":[0.9932963,0.00009372393,0.004840664,0.00000672282,0.000003112313,0.00013914546,0.00040137727,0.0000042536462,0.0012147677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917114,0.00028255477,0.000030685,0.00010261505,0.00025817007,0.00015485074],"domain_scores_gemma":[0.9969348,0.002089299,0.00016535976,0.000114915114,0.00057284883,0.0001228349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018159568,0.0007160208,0.00042678762,0.0018847336,0.00059942185,0.001285691,0.0009650706,0.0010773441,0.004946554],"category_scores_gemma":[0.0027864792,0.0004947463,0.00093083957,0.0008880592,0.0005257935,0.0018298946,0.0006019687,0.00059270347,0.00034320672],"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":[0.0015763656,0.0020788803,0.053383347,0.00055513013,0.00008636282,0.0018584613,0.00013837815,0.88870496,0.013134525,0.0075032646,0.00088208955,0.030098291],"study_design_scores_gemma":[0.00014394267,0.0040663863,0.02129366,0.00003797996,0.00011307492,0.0001537665,0.0012995681,0.9622297,0.0071482486,0.0020110807,0.0014519183,0.000050699597],"about_ca_topic_score_codex":0.014919364,"about_ca_topic_score_gemma":0.010925212,"teacher_disagreement_score":0.014919364,"about_ca_system_score_codex":0.002949414,"about_ca_system_score_gemma":0.0015778397,"threshold_uncertainty_score":0.029665053},"labels":[],"label_agreement":null},{"id":"W3213407785","doi":"10.18280/jesa.540514","title":"Performance Investigation of Small Wind Turbine Installed over a Pick up Vehicle to Charge an Electric Vehicle Battery","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Turbine; Wind power; Airfoil; Automotive engineering; Small wind turbine; Wind speed; Hypersonic wind tunnel; Marine engineering; Engineering; Wind tunnel; Environmental science; Aerospace engineering; Electrical engineering; Meteorology; Physics","score_opus":0.01197367390847478,"score_gpt":0.20870636386097274,"score_spread":0.19673268995249796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213407785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951711,0.00016611312,0.0029680678,0.00004399994,0.000040823972,0.000028166407,0.00011160744,0.00015212942,0.0013178738],"genre_scores_gemma":[0.9977983,0.00008053811,0.0006635162,0.000011272958,0.000004247176,0.000010443773,0.000103466155,0.000009925322,0.0013183452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997433,0.00003326528,0.000018578112,0.000042433563,0.00010764987,0.000054776647],"domain_scores_gemma":[0.99958843,0.00012994846,0.00003700812,0.000040389055,0.00015935792,0.000044864468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002225394,0.00041836512,0.00048362173,0.00037788603,0.0003211826,0.0002947016,0.0004597459,0.00046414934,0.003149097],"category_scores_gemma":[0.0004965265,0.00017775106,0.00030514985,0.00019277025,0.0001704713,0.00039722768,0.00018864703,0.00023455432,0.0006104489],"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":[0.0026314978,0.0005599748,0.019005341,0.0008839812,0.000096105934,0.0021551133,0.0003777333,0.022861091,0.8937376,0.0002773655,0.0021166974,0.055297464],"study_design_scores_gemma":[0.00023659754,0.022944773,0.14636938,0.000096200114,0.00025651604,0.00193991,0.0016910437,0.13740127,0.6804322,0.00023454463,0.008308833,0.000088783585],"about_ca_topic_score_codex":0.0007006564,"about_ca_topic_score_gemma":0.001078971,"teacher_disagreement_score":0.003149097,"about_ca_system_score_codex":0.00014081647,"about_ca_system_score_gemma":0.00012292987,"threshold_uncertainty_score":0.010534763},"labels":[],"label_agreement":null},{"id":"W3213839329","doi":"","title":"Report on the Field Performance of A123Systems’ Hymotion™ Plug-In Conversion Module for the Toyota Prius (2009-01-1331)","year":2011,"lang":"en","type":"book","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Engineering; Battery pack; Electric vehicle; Battery (electricity); Plug-in; Electrical engineering; Computer science; Power (physics); Operating system","score_opus":0.008710534425025084,"score_gpt":0.18493843177918465,"score_spread":0.17622789735415956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213839329","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81249595,0.00345124,0.016669821,0.000503433,0.00029124686,0.0006387959,0.023863062,0.0033170192,0.13876942],"genre_scores_gemma":[0.81060904,0.0014112525,0.010330863,0.00011264487,0.000044909193,0.00017266754,0.03278175,0.00040576354,0.14413106],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994628,0.000053375883,0.000022501068,0.000061019527,0.00035599724,0.0000443475],"domain_scores_gemma":[0.99879766,0.00010618079,0.00004669694,0.000065205684,0.0009464188,0.00003784285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010007881,0.00053614145,0.00031256425,0.00095469033,0.00048473378,0.00063447794,0.0005157767,0.00032746003,0.011525705],"category_scores_gemma":[0.0006224387,0.0001589651,0.00023839234,0.0005748829,0.00018417103,0.0005970092,0.00026469724,0.00034715032,0.0045410194],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017040983,0.0012273586,0.058833525,0.0013915019,0.00011661307,0.00073895976,0.0009585091,0.005460038,0.30503303,0.0011780242,0.1796288,0.44372955],"study_design_scores_gemma":[0.00013275222,0.0062080845,0.20606287,0.0001619416,0.0001794119,0.0015632191,0.0011341895,0.0050749257,0.40251264,0.00044878243,0.3764136,0.0001076203],"about_ca_topic_score_codex":0.0060108276,"about_ca_topic_score_gemma":0.015276966,"teacher_disagreement_score":0.011525705,"about_ca_system_score_codex":0.00087701605,"about_ca_system_score_gemma":0.00042818498,"threshold_uncertainty_score":0.03855735},"labels":[],"label_agreement":null},{"id":"W3213871129","doi":"10.2139/ssrn.3843085","title":"Estimating the grid payments necessary to compensate additional costs to prospective electric vehicle owners who provide vehicle-to-grid ancillary services","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Grid; Electric vehicle; Payment; Business; Vehicle-to-grid; Transport engineering; Environmental economics; Computer science; Finance; Engineering; Economics; Mathematics","score_opus":0.003599204525289384,"score_gpt":0.20541963941455882,"score_spread":0.20182043488926943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213871129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92179507,0.0005004288,0.055545934,0.0008609844,0.00009911103,0.00038217613,0.003431694,0.00032236165,0.017062219],"genre_scores_gemma":[0.9829816,0.00017380604,0.012779425,0.000031605043,0.000016576361,0.000054956778,0.0010773106,0.000016156555,0.0028686381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991129,0.00038211394,0.000059357935,0.00014545686,0.00015587438,0.0001443081],"domain_scores_gemma":[0.9937687,0.0046492103,0.00054433616,0.0002597965,0.00058250624,0.00019546146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016512397,0.0006797723,0.0005022517,0.0009857904,0.0003548397,0.0015242731,0.00064743153,0.0013851178,0.0055067297],"category_scores_gemma":[0.011364774,0.0006153449,0.0006101287,0.0010764207,0.00027168225,0.0019476792,0.00059645245,0.0013069229,0.00066032034],"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":[0.0014957925,0.00044376423,0.097541176,0.00029546247,0.00012401021,0.00062336394,0.00014729092,0.78185505,0.0020018204,0.016677618,0.0053303433,0.0934643],"study_design_scores_gemma":[0.00013218368,0.00048664518,0.0613956,0.00006370588,0.00013856973,0.00039718288,0.00066695706,0.9199072,0.0028415595,0.009551645,0.0043654474,0.000053276246],"about_ca_topic_score_codex":0.01324522,"about_ca_topic_score_gemma":0.010370109,"teacher_disagreement_score":0.01324522,"about_ca_system_score_codex":0.0015653305,"about_ca_system_score_gemma":0.0020463208,"threshold_uncertainty_score":0.026336253},"labels":[],"label_agreement":null},{"id":"W3214024398","doi":"10.32920/ryerson.14664837.v1","title":"Evaluating perception towards electric vehicles in the Greater Toronto and Hamilton Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"","keywords":"Incentive; Greenhouse gas; Electricity; Sustainable transport; Electric vehicle; Business; Environmental economics; Mains electricity; Public transport; Climate change; Green vehicle; Alternative fuel vehicle; Marketing; Sustainability; Natural resource economics; Fuel efficiency; Diesel fuel; Economics; Alternative fuels; Transport engineering; Engineering","score_opus":0.025114687828667517,"score_gpt":0.2686187867171173,"score_spread":0.2435040988884498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214024398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975212,0.00001895279,0.000022896294,0.00007197205,0.0000025927745,0.000021291133,0.00008256186,0.0000010162287,0.002257471],"genre_scores_gemma":[0.99702746,0.000072881005,0.0000699348,0.00003783935,0.0000025431639,0.000017187987,0.00010206593,0.000001618713,0.0026685714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993351,0.00013667603,0.000022091968,0.000057509256,0.00025763392,0.0001909642],"domain_scores_gemma":[0.9977527,0.00029615258,0.00028127298,0.000053807675,0.00090352824,0.0007125032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058384886,0.00019513883,0.00014193171,0.0005954045,0.001864967,0.0015014933,0.00038669657,0.00031217773,0.0042468063],"category_scores_gemma":[0.0022086136,0.00017084264,0.00022723588,0.0009017887,0.0011534672,0.0004092915,0.0008935022,0.0003520563,0.00032742537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030663534,0.000305401,0.87705934,0.00009652124,0.000033375876,0.00088516803,0.10030162,0.0004935705,0.0029478741,0.00070488406,0.0026831303,0.014182387],"study_design_scores_gemma":[0.000009079267,0.00017303927,0.88053745,0.000037920658,0.000011628164,0.00006838698,0.11401048,0.00047368492,0.00028713653,0.000037430542,0.0043337103,0.000020017975],"about_ca_topic_score_codex":0.9417058,"about_ca_topic_score_gemma":0.97739637,"teacher_disagreement_score":0.058294177,"about_ca_system_score_codex":0.015853282,"about_ca_system_score_gemma":0.006758494,"threshold_uncertainty_score":0.11727494},"labels":[],"label_agreement":null},{"id":"W3215731291","doi":"10.1109/epec52095.2021.9621740","title":"Electric Vehicles Load Forecasting Considering the Effect of COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Kalman filter; Computer science; Electric vehicle; Extended Kalman filter; Automotive engineering; Engineering; Artificial intelligence; Medicine; Physics","score_opus":0.01626514887722758,"score_gpt":0.23098626248172463,"score_spread":0.21472111360449705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215731291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8323771,0.0006290518,0.15689853,0.0012154942,0.00022882194,0.00004706012,0.00055297016,0.0002631505,0.007787865],"genre_scores_gemma":[0.9953986,0.00020351782,0.0031239146,0.000025694317,0.00004408174,0.0000065141976,0.00017677367,0.000009568413,0.0010114376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997727,0.00005172728,0.000013051479,0.00007063844,0.00004405441,0.000047651898],"domain_scores_gemma":[0.9994821,0.00026505324,0.000076099896,0.000024664942,0.00012831826,0.000023785642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061131525,0.00042822864,0.0004171358,0.000310953,0.00023105352,0.0007701387,0.00041299214,0.00072693144,0.0006695725],"category_scores_gemma":[0.0019284757,0.00018859074,0.00036297692,0.0004222653,0.00016007014,0.0011111303,0.0003610061,0.00058546686,0.00011464276],"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":[0.000107339256,0.000042784,0.022525238,0.000055812667,0.000050120216,0.00035698988,0.000059691807,0.95210946,0.0020070134,0.0023776267,0.0009113701,0.019396586],"study_design_scores_gemma":[0.000002156582,0.000017499102,0.0039236876,0.000002953475,0.000011553875,0.000016650469,0.000042300664,0.9950073,0.00031130126,0.0004532773,0.00020454456,0.0000067314213],"about_ca_topic_score_codex":0.028781341,"about_ca_topic_score_gemma":0.016216848,"teacher_disagreement_score":0.028781341,"about_ca_system_score_codex":0.00048107613,"about_ca_system_score_gemma":0.0006371199,"threshold_uncertainty_score":0.05722767},"labels":[],"label_agreement":null},{"id":"W3217026272","doi":"10.2172/1660251","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Q1 2020)","year":2020,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compressed natural gas; Charging station; Electric vehicle; Transport engineering; Snapshot (computer storage); Telecommunications; Engineering; Business; Computer science","score_opus":0.009085647081758321,"score_gpt":0.22742183487811288,"score_spread":0.21833618779635455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217026272","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1660207,0.0029215969,0.0026825387,0.0025964524,0.00037938572,0.00015260844,0.6648748,0.0013432426,0.15902877],"genre_scores_gemma":[0.2976588,0.0065860716,0.0038187245,0.0007161378,0.00012156782,0.00021440824,0.62782323,0.00020123205,0.06285981],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996487,0.000016123126,0.000019718063,0.00004559303,0.00020711716,0.000062793515],"domain_scores_gemma":[0.9989065,0.000063893676,0.00019542123,0.00002317671,0.00072781666,0.000083206316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037999972,0.0004296197,0.00013801343,0.0023043929,0.00023376533,0.001085161,0.00029336894,0.0002846205,0.007381255],"category_scores_gemma":[0.001173246,0.00021667087,0.00032435855,0.0045100944,0.00007397769,0.0011940139,0.0005937424,0.00048229474,0.0041194023],"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":[0.00017089152,0.00012488272,0.17644814,0.0009368701,0.00006758365,0.00016823086,0.0004108958,0.007898681,0.0017183718,0.0045368327,0.68038875,0.12712984],"study_design_scores_gemma":[0.000017671491,0.00012372903,0.45995542,0.00024271518,0.000035104764,0.00017005215,0.0007975317,0.0028767765,0.001639084,0.00035617722,0.53375256,0.000033162938],"about_ca_topic_score_codex":0.105664335,"about_ca_topic_score_gemma":0.15197666,"teacher_disagreement_score":0.105664335,"about_ca_system_score_codex":0.0018801652,"about_ca_system_score_gemma":0.0015815542,"threshold_uncertainty_score":0.21009862},"labels":[],"label_agreement":null},{"id":"W3217279526","doi":"10.1109/epec52095.2021.9621384","title":"A Game-Theoretic Approach for Charging Demand Management of Electric Vehicles During System Overload","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stackelberg competition; Mathematical optimization; Sensitivity (control systems); Demand response; Computer science; Charging station; Operator (biology); Subgradient method; Limit (mathematics); Battery (electricity); Electric vehicle; Energy management; Game theory; Maximization; Power (physics); Energy (signal processing); Electrical engineering; Electricity; Engineering; Mathematics; Electronic engineering","score_opus":0.003883834821753347,"score_gpt":0.1772101858681434,"score_spread":0.17332635104639008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217279526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063936207,0.00014675815,0.988384,0.00015477232,0.00004965377,0.00007637099,0.000027919777,0.000057119094,0.004709709],"genre_scores_gemma":[0.86851496,0.0005326451,0.12519367,0.00016302569,0.0001000196,0.00024098529,0.000066172,0.000046629444,0.005141927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992594,0.00031942647,0.000026711727,0.00011269892,0.00017020779,0.0001115969],"domain_scores_gemma":[0.9995449,0.00021543149,0.000060555994,0.00002153221,0.00010950988,0.000048067195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011031879,0.0011448626,0.0010919357,0.0006631384,0.00063179084,0.0013269844,0.0017896276,0.0011098117,0.0022872668],"category_scores_gemma":[0.0015581086,0.00047962557,0.0008431785,0.0006956284,0.0008868737,0.0013519716,0.0011431114,0.0012822803,0.00025836285],"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":[0.000032198233,0.00006177084,0.0002481853,0.000078773635,0.00003297129,0.00012467812,0.00008345297,0.9474273,0.0018118299,0.03553018,0.0010946158,0.013474159],"study_design_scores_gemma":[0.000005009615,0.000021783491,0.000037394984,0.0000033814288,0.0000055277933,0.000017976805,0.000017609509,0.99385035,0.00014499293,0.005489798,0.00040123827,0.0000048645975],"about_ca_topic_score_codex":0.005818098,"about_ca_topic_score_gemma":0.006069989,"teacher_disagreement_score":0.005818098,"about_ca_system_score_codex":0.0014721937,"about_ca_system_score_gemma":0.0019986264,"threshold_uncertainty_score":0.011568487},"labels":[],"label_agreement":null},{"id":"W3217811007","doi":"10.1115/icef2021-67429","title":"An Experimental Study on a Dual-Fuel Generator Fueled With Diesel and Simulated Biogas","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Biogas; Diesel fuel; Environmental science; Waste management; Greenhouse gas; Diesel generator; Methane; Diesel engine; Automotive engineering; Engineering; Chemistry","score_opus":0.006711941714712887,"score_gpt":0.22370233081622104,"score_spread":0.21699038910150814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217811007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997632,0.00006493175,0.0015692168,0.000025870047,0.000028779237,0.00006602023,0.00014378548,0.00004278625,0.00042655878],"genre_scores_gemma":[0.9975206,0.00006455382,0.0015952124,0.000014194391,0.0000060963853,0.000050233204,0.000103852406,0.000011639879,0.0006336128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995577,0.00009507647,0.000048450816,0.00012466771,0.00010819054,0.00006582434],"domain_scores_gemma":[0.9991843,0.00039443135,0.00007828241,0.00009280588,0.00018013551,0.00007006425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006223346,0.000804374,0.00090307806,0.00043880308,0.0006086062,0.00053799304,0.0011500749,0.0011272341,0.002503106],"category_scores_gemma":[0.0007814096,0.0002869586,0.0006234127,0.0003075489,0.0005046091,0.00067107985,0.00042964157,0.00064133113,0.00045426632],"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":[0.0061310357,0.0030267728,0.005531766,0.00056034426,0.00009526057,0.0006607934,0.00031518406,0.011366581,0.9606799,0.00023602505,0.00018871597,0.0112075545],"study_design_scores_gemma":[0.00048038206,0.020090887,0.009915986,0.000027783386,0.00012111629,0.00020222669,0.00028380405,0.030465482,0.9370039,0.00015357314,0.001183472,0.00007138737],"about_ca_topic_score_codex":0.00088123867,"about_ca_topic_score_gemma":0.0008808244,"teacher_disagreement_score":0.002503106,"about_ca_system_score_codex":0.00029711454,"about_ca_system_score_gemma":0.00027460046,"threshold_uncertainty_score":0.008373678},"labels":[],"label_agreement":null},{"id":"W33929197","doi":"10.1021/acs.est.0c07639","title":"Bartter症候群・Gitelman症候群の診断アプローチおよび偽性Bartter症候群・偽性Gitelman症候群の診断のポイント (特集 日常診療で遭遇する小児腎泌尿器疾患とトピックス) -- (尿細管疾患・囊胞性腎疾患)","year":2014,"lang":"en","type":"article","venue":"小児科診療","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gitelman syndrome; Bartter syndrome; Bartter's syndrome; Hypokalemia; Medicine; Internal medicine; Hypomagnesemia; Chemistry","score_opus":0.002236075909644409,"score_gpt":0.15626147714726704,"score_spread":0.15402540123762262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W33929197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.502412,0.02001483,0.052999657,0.0085484255,0.0006974977,0.00032304678,0.008049488,0.0005569236,0.4063981],"genre_scores_gemma":[0.8756395,0.0062119165,0.009583303,0.00029482957,0.00014779127,0.00006526198,0.0018443718,0.00007264312,0.10614033],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997354,0.000039854804,0.00000666629,0.000052044048,0.00012813396,0.000037914557],"domain_scores_gemma":[0.9996019,0.000060488797,0.00013788347,0.000023752811,0.00012785272,0.000048126632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037360683,0.00033999942,0.00010896454,0.0006899409,0.00027374542,0.0014795491,0.00028701767,0.00043646042,0.00790691],"category_scores_gemma":[0.0011500124,0.00013852843,0.00023074969,0.0008123767,0.0006790248,0.00056059024,0.0003047928,0.00044569356,0.0016559621],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039449724,0.00015004189,0.29210645,0.0009262613,0.00031108412,0.00081792957,0.0016731896,0.0761168,0.008683385,0.114797205,0.099687085,0.404336],"study_design_scores_gemma":[0.000049114096,0.00022828777,0.47498772,0.00034597845,0.00013941704,0.0004955979,0.0013681117,0.0413873,0.011716011,0.017460518,0.45170197,0.00012001078],"about_ca_topic_score_codex":0.243519,"about_ca_topic_score_gemma":0.36804023,"teacher_disagreement_score":0.243519,"about_ca_system_score_codex":0.0037098639,"about_ca_system_score_gemma":0.0029377535,"threshold_uncertainty_score":0.48420316},"labels":[],"label_agreement":null},{"id":"W340997383","doi":"10.1007/s40565-015-0122-2","title":"Residential electrical vehicle charging strategies: the good, the bad and the ugly","year":2015,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":52,"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":"Queen's University; H2020 European Research Council; Science Foundation Ireland; Queen's University Belfast; National University of Ireland","keywords":"Testbed; Variety (cybernetics); Electric vehicle; Range (aeronautics); Computer science; Electric power system; Power (physics); Operations research; Automotive engineering; Engineering; Artificial intelligence; Aerospace engineering; Computer network","score_opus":0.006103781520911534,"score_gpt":0.19208790577313967,"score_spread":0.18598412425222813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W340997383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33966985,0.03492691,0.5319536,0.020847823,0.00049231754,0.00015512882,0.00019632254,0.0008972949,0.070860825],"genre_scores_gemma":[0.9628692,0.0044233617,0.028969968,0.0005774405,0.00016056704,0.000020200509,0.000023287015,0.000058201356,0.0028976696],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982659,0.0008903625,0.000065007844,0.00013752439,0.0005257945,0.000115468916],"domain_scores_gemma":[0.9977743,0.0011548301,0.00028013063,0.00032667146,0.00035852188,0.00010557265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030521238,0.00055468315,0.00084815954,0.0006204285,0.0007244798,0.0028281088,0.0009550037,0.0013654375,0.0012952313],"category_scores_gemma":[0.005345238,0.00023244889,0.0003330047,0.0011346866,0.0018080712,0.0028201041,0.0010214376,0.0009062556,0.00037162713],"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":[0.0011955495,0.00027641127,0.007596013,0.00075136515,0.00025442036,0.0003016713,0.00062650564,0.27765828,0.004956611,0.2550703,0.00910256,0.44221047],"study_design_scores_gemma":[0.00021099814,0.001218441,0.00851749,0.0004007437,0.00020032573,0.0011317227,0.002273347,0.6632524,0.008955534,0.26955104,0.044113472,0.00017450075],"about_ca_topic_score_codex":0.0012189628,"about_ca_topic_score_gemma":0.0025873997,"teacher_disagreement_score":0.0030521238,"about_ca_system_score_codex":0.0009786601,"about_ca_system_score_gemma":0.000527795,"threshold_uncertainty_score":0.016141415},"labels":[],"label_agreement":null},{"id":"W39564378","doi":"10.1007/978-90-481-9594-7_3","title":"Distributed Rural Electrification in Brazil","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rural electrification; Electricity; Electrification; Amazon rainforest; Rural area; Service (business); Geography; Perspective (graphical); Economic growth; Business; Agricultural economics; Economics; Natural resource economics; Economy; Political science; Engineering; Computer science; Electrical engineering","score_opus":0.003221990457333078,"score_gpt":0.18157309676716402,"score_spread":0.17835110630983095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39564378","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030336749,0.014382543,0.010446044,0.005483147,0.00021468535,0.000040325027,0.00012212973,0.00006942918,0.938905],"genre_scores_gemma":[0.59196246,0.021803666,0.004911993,0.0005398547,0.000099417644,0.00004250805,0.000117788324,0.000067384986,0.38045493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99992,0.000021367017,0.000003122347,0.000014213915,0.00002685479,0.000014508032],"domain_scores_gemma":[0.9999391,0.00002015659,0.000005025604,0.000009398444,0.000019714222,0.000006624883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013313153,0.00022379287,0.00012481322,0.00034793458,0.0007230892,0.0011351466,0.0003000065,0.00026399913,0.00546196],"category_scores_gemma":[0.00041770242,0.00010096863,0.00010238807,0.0010863872,0.00051893893,0.0008282819,0.0006753619,0.00048245152,0.00041633451],"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":[0.0000064951464,0.000023843648,0.0007889075,0.00023061829,0.0000040006735,0.00034923892,0.002439346,0.002882241,0.0012090256,0.820671,0.016894141,0.15450099],"study_design_scores_gemma":[0.0000049878204,0.00002014496,0.0027237267,0.00031725282,0.000008645322,0.00040527733,0.0020937019,0.0018084168,0.0006170478,0.077515475,0.9144794,0.0000059097038],"about_ca_topic_score_codex":0.031545307,"about_ca_topic_score_gemma":0.10253627,"teacher_disagreement_score":0.031545307,"about_ca_system_score_codex":0.0027929393,"about_ca_system_score_gemma":0.002162436,"threshold_uncertainty_score":0.0627234},"labels":[],"label_agreement":null},{"id":"W4200161548","doi":"10.3390/en14248365","title":"Co-Optimizing Battery Storage for Energy Arbitrage and Frequency Regulation in Real-Time Markets Using Deep Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"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 Alberta; Brock University","funders":"Brock University; National Science Foundation","keywords":"Markov decision process; Flexibility (engineering); Arbitrage; Reinforcement learning; Computer science; Mathematical optimization; Electricity; Battery (electricity); Energy storage; Electricity market; Stability (learning theory); Revenue; Renewable energy; Markov process; Power (physics); Engineering; Economics; Artificial intelligence; Mathematics; Machine learning","score_opus":0.00628536237606657,"score_gpt":0.2049458746535307,"score_spread":0.19866051227746412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200161548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20422,0.0013169113,0.78592217,0.0009656051,0.00015124964,0.00007390204,0.00009637053,0.0007083782,0.0065454044],"genre_scores_gemma":[0.984327,0.00008895697,0.014281159,0.0001175071,0.000019037767,0.000036441845,0.000039634808,0.000021929143,0.0010684221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997061,0.000083911065,0.000013726025,0.000062593834,0.00005430483,0.00007936415],"domain_scores_gemma":[0.99899906,0.00063450076,0.00012376219,0.000037799837,0.00012435754,0.00008059337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008890057,0.0008266376,0.0011508925,0.0002859181,0.00027996078,0.0007423388,0.0009098228,0.0010480853,0.0014882394],"category_scores_gemma":[0.0023433664,0.00043451283,0.00044060755,0.00030059056,0.00076154893,0.00092836935,0.00081304583,0.0013764014,0.00014925988],"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":[0.000039281207,0.000041729374,0.0004951395,0.000020152891,0.000018966823,0.00002936171,0.000014100672,0.9898595,0.00027892014,0.0014862354,0.0003161119,0.0074004275],"study_design_scores_gemma":[0.0000033106758,0.0000066581892,0.000021934537,9.769907e-7,0.0000014375387,0.0000015168455,0.0000013600637,0.99952376,0.00003762765,0.00037464555,0.000026104284,7.4777864e-7],"about_ca_topic_score_codex":0.010122621,"about_ca_topic_score_gemma":0.009372048,"teacher_disagreement_score":0.010122621,"about_ca_system_score_codex":0.00097637967,"about_ca_system_score_gemma":0.0017358499,"threshold_uncertainty_score":0.020127416},"labels":[],"label_agreement":null},{"id":"W4200207449","doi":"10.1016/j.erss.2021.102462","title":"Rooted in place: Regional innovation, assets, and the politics of electric vehicle leadership in California, Norway, and Québec","year":2021,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; University of Toronto; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Electrification; Politics; Normalization (sociology); Political science; Business; Industrial organization; Engineering; Electricity; Sociology; Social science","score_opus":0.04540465507393654,"score_gpt":0.2861974207539645,"score_spread":0.24079276568002794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200207449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8636329,0.0011793348,0.0003628229,0.0088967355,0.00006970047,0.000028455393,0.00014601146,0.000011736071,0.1256723],"genre_scores_gemma":[0.99577624,0.00016539,0.000056888606,0.00018137966,0.0000049433716,0.00000411544,0.000023590997,0.0000030265237,0.0037844053],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980452,0.0003885687,0.000025013904,0.00018208497,0.00026717578,0.0010919115],"domain_scores_gemma":[0.9971787,0.00062455505,0.00030722463,0.00007895329,0.0007830807,0.001027539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019578368,0.00011707888,0.00022252092,0.0007239701,0.007494759,0.005070923,0.0010761423,0.0007294272,0.003859268],"category_scores_gemma":[0.0028243354,0.00009704773,0.00015693296,0.0011848492,0.009008599,0.0011930655,0.0023429338,0.0013494003,0.000121889265],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046048744,0.00042914622,0.3460379,0.00025201633,0.0001196602,0.0021752832,0.16934185,0.005083716,0.0018024755,0.33972466,0.033223283,0.10134958],"study_design_scores_gemma":[0.00009218959,0.00012265054,0.441839,0.0004884933,0.000087960034,0.0002212199,0.35076377,0.0021198308,0.0007920368,0.008826187,0.19449289,0.00015375501],"about_ca_topic_score_codex":0.97148514,"about_ca_topic_score_gemma":0.9921325,"teacher_disagreement_score":0.056102835,"about_ca_system_score_codex":0.056102835,"about_ca_system_score_gemma":0.04420417,"threshold_uncertainty_score":0.40705645},"labels":[],"label_agreement":null},{"id":"W4200288851","doi":"10.3390/en14248517","title":"A Novel Mean Field Game-Based Strategy for Charging Electric Vehicles in Solar Powered Parking Lots","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Polytechnique Montréal","keywords":"Nash equilibrium; State of charge; Electric vehicle; Computer science; Population; Parking lot; Bayesian game; Battery (electricity); Automotive engineering; Simulation; Game theory; Mathematical optimization; Engineering; Sequential game; Mathematics; Mathematical economics; Physics","score_opus":0.011305964262979942,"score_gpt":0.21669983865086137,"score_spread":0.20539387438788143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200288851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033232283,0.00013603247,0.95232445,0.0004797189,0.000077804754,0.0001420439,0.00008981598,0.00013170153,0.013386207],"genre_scores_gemma":[0.8971445,0.00016924732,0.094659604,0.00030067356,0.000051340234,0.00030007283,0.000061419385,0.00003251281,0.007280546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953556,0.00018915137,0.00001721027,0.000074935444,0.00010470626,0.000078487654],"domain_scores_gemma":[0.9995284,0.00024310795,0.00006217544,0.000020400983,0.000062403014,0.00008350773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006492148,0.00077113893,0.0007746373,0.00047183776,0.00045246808,0.0010432453,0.001383767,0.0013695733,0.0029007695],"category_scores_gemma":[0.0016725385,0.00027420593,0.000695657,0.00041974353,0.0010657508,0.0009461038,0.0010123695,0.00080669834,0.0003095917],"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":[0.00011631515,0.00012250546,0.0007999276,0.000103903505,0.00007071684,0.00031647843,0.00019904044,0.72633684,0.0048331167,0.24675849,0.0027188356,0.017623786],"study_design_scores_gemma":[0.000030359066,0.00008527885,0.00008332434,0.00000787396,0.0000083712985,0.000059327183,0.000022437907,0.9664578,0.0002748643,0.03171082,0.001245784,0.000013774902],"about_ca_topic_score_codex":0.0035126046,"about_ca_topic_score_gemma":0.0033017583,"teacher_disagreement_score":0.0035126046,"about_ca_system_score_codex":0.0012837186,"about_ca_system_score_gemma":0.0013992831,"threshold_uncertainty_score":0.009704053},"labels":[],"label_agreement":null},{"id":"W4200416093","doi":"10.1016/j.ijepes.2021.107500","title":"Reliability oriented distribution system analysis considering electric vehicles and hybrid energy resources","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"Mitacs; Manitoba Hydro","keywords":"Reliability (semiconductor); Electric vehicle; Reliability engineering; Photovoltaic system; Renewable energy; Monte Carlo method; Automotive engineering; Electric power system; Range (aeronautics); Minification; Computer science; Sensitivity (control systems); Engineering; Power (physics); Electrical engineering; Electronic engineering","score_opus":0.0028088884170461323,"score_gpt":0.1874707330106521,"score_spread":0.18466184459360596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200416093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37092462,0.00078479724,0.5870606,0.0003623702,0.000065021035,0.00014040859,0.00029376463,0.00037871982,0.039989747],"genre_scores_gemma":[0.9870112,0.00023801952,0.0071963947,0.000022924598,0.00002451575,0.000030920313,0.000071863506,0.00005416891,0.005349988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.000056345758,0.0000038551925,0.000016724296,0.00003959345,0.00002874878],"domain_scores_gemma":[0.999613,0.00019134456,0.00004658363,0.0000143172,0.00011961437,0.000015173724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003982402,0.0006161853,0.0005510871,0.0008318773,0.000355903,0.0008488342,0.0005391445,0.00046784038,0.0032386282],"category_scores_gemma":[0.0009570536,0.00033392536,0.0005985721,0.00059028354,0.00037772866,0.0007427994,0.00034684944,0.00048757237,0.0002627258],"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":[0.000032567477,0.000020679225,0.00064521347,0.000034659206,0.000028091848,0.00016621558,0.000036624388,0.98163223,0.0014000046,0.011026066,0.000360169,0.0046174037],"study_design_scores_gemma":[0.0000028388226,0.000015465435,0.00032631648,0.0000032476757,0.00001368203,0.000024492834,0.000020253055,0.9967803,0.00014675029,0.0024987755,0.00016565088,0.0000022337833],"about_ca_topic_score_codex":0.0077485167,"about_ca_topic_score_gemma":0.008103207,"teacher_disagreement_score":0.0077485167,"about_ca_system_score_codex":0.000821941,"about_ca_system_score_gemma":0.00065323163,"threshold_uncertainty_score":0.015406847},"labels":[],"label_agreement":null},{"id":"W4200449689","doi":"10.1155/2021/1191443","title":"Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shenzhen Municipal Science and Technology Innovation Council; Tsinghua Shenzhen International Graduate School; National Natural Science Foundation of China","keywords":"Computer science; Mathematical optimization; Robustness (evolution); Scheduling (production processes); Robust optimization; Operations research; Engineering","score_opus":0.00818856078296571,"score_gpt":0.22858602906895112,"score_spread":0.22039746828598542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200449689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042017424,0.0003410249,0.9912294,0.00016303503,0.000025073245,0.000044755176,0.00010710632,0.00013761618,0.0037502868],"genre_scores_gemma":[0.7070125,0.0018463071,0.28092325,0.00018365422,0.00015122943,0.00071935635,0.00059570797,0.00024816918,0.0083199395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994454,0.0001894589,0.000023827952,0.0001149431,0.00013367932,0.00009272749],"domain_scores_gemma":[0.9990246,0.0005675999,0.00015548115,0.000039773782,0.00016806053,0.00004446812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015764866,0.0012539459,0.0016094176,0.0010731923,0.00047705445,0.0014400752,0.0015579589,0.0016306255,0.0040483368],"category_scores_gemma":[0.0025545596,0.00088115723,0.0017148391,0.0012795068,0.0008218779,0.0010844541,0.0013862196,0.0018587586,0.00043523998],"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":[0.0000072142343,0.00000558486,0.00004648002,0.0000188246,0.000008393899,0.000016648493,0.0000072983125,0.9933183,0.0001490682,0.0044340934,0.0001711842,0.0018168065],"study_design_scores_gemma":[0.0000023543698,0.000004591845,0.000011602682,0.0000025121174,0.0000025198217,0.0000023997072,0.000002483892,0.99849224,0.00003230155,0.0012988193,0.00014615007,0.0000019812646],"about_ca_topic_score_codex":0.013660151,"about_ca_topic_score_gemma":0.005198309,"teacher_disagreement_score":0.013660151,"about_ca_system_score_codex":0.0014169295,"about_ca_system_score_gemma":0.0021019871,"threshold_uncertainty_score":0.0271613},"labels":[],"label_agreement":null},{"id":"W4200478446","doi":"10.1109/iemcon53756.2021.9623257","title":"Design and Simulation of a Wind Turbine Powered Electric Car Charging System for St. John's, NL","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Turbine; Battery (electricity); Wind power; Automotive engineering; Inverter; Scheme (mathematics); Computer science; Electrical engineering; Electric cars; Engineering; Voltage; Aerospace engineering; Power (physics); Physics","score_opus":0.006901287825692421,"score_gpt":0.22012622719210223,"score_spread":0.21322493936640982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200478446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72156954,0.00033824763,0.12503141,0.00078670203,0.00024615243,0.00040305674,0.001624466,0.002024704,0.14797573],"genre_scores_gemma":[0.980998,0.00008789532,0.006812222,0.000043687887,0.0000050913563,0.00011098937,0.00028990733,0.000044910354,0.011607318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999915,0.000019978164,0.000003397407,0.000010909529,0.000029205548,0.000021424328],"domain_scores_gemma":[0.9998692,0.00004508091,0.000011243893,0.000007710602,0.000049192728,0.000017523354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014675935,0.00046561947,0.00045513624,0.00032516292,0.0005808372,0.0007605434,0.00068316085,0.00073169335,0.0077587734],"category_scores_gemma":[0.00028500392,0.00021456897,0.00047384822,0.00026764482,0.00033251516,0.00027619844,0.0003059594,0.00039546774,0.00048341113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095622716,0.000038396134,0.001035189,0.00006186639,0.000013173987,0.0002048879,0.00006216067,0.99050504,0.002521258,0.001020666,0.0010167053,0.0034251164],"study_design_scores_gemma":[0.000025206053,0.000053249732,0.00033973536,0.000005058828,0.0000075683524,0.000013264492,0.000046014284,0.997735,0.00071224326,0.00011867075,0.0009397814,0.0000041656735],"about_ca_topic_score_codex":0.034766365,"about_ca_topic_score_gemma":0.0290511,"teacher_disagreement_score":0.9652336,"about_ca_system_score_codex":0.0007589173,"about_ca_system_score_gemma":0.0009705732,"threshold_uncertainty_score":0.06912804},"labels":[],"label_agreement":null},{"id":"W4200493364","doi":"10.1049/gtd2.12269","title":"Mitigation of the mutual dynamic interactions between a direct‐current fast charging station and its host distribution grid","year":2021,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Toronto","funders":"","keywords":"Host (biology); Grid; Current (fluid); Distribution grid; Computer science; Distribution (mathematics); Electrical engineering; Engineering; Mathematics; Geology; Biology; Ecology; Geodesy","score_opus":0.00809899655183291,"score_gpt":0.22984931104826606,"score_spread":0.22175031449643315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200493364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72784156,0.00009789171,0.25277138,0.00015234234,0.00006179231,0.000087973785,0.00005795651,0.00064805173,0.018281166],"genre_scores_gemma":[0.9977982,0.000011310797,0.0016925586,0.000005450232,0.0000028540658,0.000004047345,0.000009307274,0.000004175695,0.00047210624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998888,0.000025489971,0.0000038742237,0.00001346883,0.000039278908,0.000028952209],"domain_scores_gemma":[0.99978787,0.000067915855,0.000041345917,0.00003046407,0.00005030615,0.000022069627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021405912,0.00035763028,0.0002423814,0.00017596423,0.00024323101,0.0005025436,0.00040459775,0.00027281683,0.0018658593],"category_scores_gemma":[0.00052571885,0.000102704806,0.00020902794,0.00012568351,0.00024410198,0.00041649627,0.00053971057,0.00031958483,0.00016356636],"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":[0.00026800018,0.00009842933,0.0041284165,0.00009373455,0.00006897783,0.00036407274,0.0000869167,0.9040132,0.048479147,0.0044442653,0.00072472764,0.037230134],"study_design_scores_gemma":[0.00003216908,0.0002876294,0.0025750792,0.0000072074768,0.000033355587,0.00006975171,0.000064341686,0.9824645,0.012014462,0.0009034418,0.0015397593,0.000008331877],"about_ca_topic_score_codex":0.002160293,"about_ca_topic_score_gemma":0.0018830182,"teacher_disagreement_score":0.002160293,"about_ca_system_score_codex":0.00028717972,"about_ca_system_score_gemma":0.00043025738,"threshold_uncertainty_score":0.0062419176},"labels":[],"label_agreement":null},{"id":"W4200519143","doi":"10.1109/iscc53001.2021.9631412","title":"An Efficient Blockchain-based Electric Vehicle Charging Management System","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Symposium on Computers and Communications (ISCC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 de Sherbrooke","funders":"","keywords":"Blockchain; Payment; Electric vehicle; Computer science; Energy management; Smart contract; Cryptocurrency; Computer security; Energy (signal processing)","score_opus":0.005819408979311851,"score_gpt":0.20151185887604295,"score_spread":0.1956924498967311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200519143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16274191,0.0005436706,0.79769444,0.0011454948,0.00024503743,0.0006679949,0.00053381623,0.0037629043,0.0326647],"genre_scores_gemma":[0.9521311,0.000190413,0.03827975,0.00008441568,0.00003459259,0.00020348167,0.00029756318,0.000030955678,0.008747633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994529,0.00013037781,0.000042016756,0.00010590003,0.00016799633,0.000100780366],"domain_scores_gemma":[0.99948597,0.000119313336,0.000051399587,0.00011984156,0.00012351881,0.000099898265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055958505,0.000345256,0.0006039413,0.0003234778,0.0010341022,0.001052144,0.0011015985,0.00072896027,0.0061889007],"category_scores_gemma":[0.00093186414,0.00023115422,0.00019586211,0.0005825254,0.0004438237,0.001469618,0.0017542796,0.00054270227,0.0011275429],"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":[0.001267391,0.0006733811,0.0033689418,0.00034604923,0.00009179313,0.0014146916,0.000491304,0.63453686,0.03667372,0.077206366,0.014818808,0.22911066],"study_design_scores_gemma":[0.00011783912,0.00010884533,0.00020649836,0.000012043869,0.000014654277,0.00009592595,0.000046952842,0.9757225,0.0034809485,0.012588046,0.007589656,0.000016115986],"about_ca_topic_score_codex":0.0038541919,"about_ca_topic_score_gemma":0.005228571,"teacher_disagreement_score":0.0061889007,"about_ca_system_score_codex":0.00068099,"about_ca_system_score_gemma":0.0021980486,"threshold_uncertainty_score":0.020703912},"labels":[],"label_agreement":null},{"id":"W4200603175","doi":"10.3390/electronics10233030","title":"Evaluation of Multi-Objective Optimization Techniques for Resilience Enhancement of Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"Electronics","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":"University of Alberta","funders":"Incheon National University","keywords":"Sorting; Mathematical optimization; Lexicographical order; Resilience (materials science); Computer science; Genetic algorithm; Intersection (aeronautics); Multi-objective optimization; Index (typography); Energy (signal processing); Operations research; Engineering; Transport engineering; Mathematics; Algorithm","score_opus":0.00976996004107794,"score_gpt":0.25751847407017153,"score_spread":0.2477485140290936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200603175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20325091,0.003772926,0.77827966,0.0007060456,0.00019719308,0.00028588725,0.0001882229,0.00049311604,0.012825954],"genre_scores_gemma":[0.87609243,0.0011095734,0.12061254,0.00010821794,0.000045278965,0.00023098891,0.00014685937,0.000062268016,0.0015918266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945575,0.00024763128,0.00002504706,0.0000635544,0.00012871603,0.00007937409],"domain_scores_gemma":[0.99865925,0.00089427753,0.00014567783,0.00004025976,0.00020923301,0.00005114797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019866677,0.0019279481,0.0010156096,0.0016086074,0.00047407253,0.0008871708,0.00084949733,0.0010699093,0.001458498],"category_scores_gemma":[0.002847898,0.00043056466,0.001167356,0.00086721714,0.0004221063,0.00079956494,0.0008395479,0.00088520756,0.00012510468],"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":[0.000051178227,0.00005494111,0.0004021245,0.00007759392,0.0000419249,0.000028658596,0.000014857524,0.982157,0.00067073153,0.0011832067,0.00019369634,0.015124038],"study_design_scores_gemma":[0.0000043716495,0.000039613064,0.00011956612,0.000007666062,0.00000905685,0.0000039893093,0.000010020021,0.9992279,0.00022361637,0.00025215943,0.00009960897,0.000002452397],"about_ca_topic_score_codex":0.005217497,"about_ca_topic_score_gemma":0.0031449492,"teacher_disagreement_score":0.005217497,"about_ca_system_score_codex":0.00086223555,"about_ca_system_score_gemma":0.0010895204,"threshold_uncertainty_score":0.01050663},"labels":[],"label_agreement":null},{"id":"W4205487241","doi":"10.1155/2022/4136191","title":"College Students’ Choice Behavior of Electric Two-Wheeled Vehicle","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; Estimation; Government (linguistics); Sustainability; Binary logit model; Business; Electric vehicle; Logistic regression; Marketing; Environmental economics; Transport engineering; Economics; Engineering; Computer science; Power (physics)","score_opus":0.004314169252605141,"score_gpt":0.23509701798124732,"score_spread":0.2307828487286422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205487241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996704,0.0000064517803,0.000013721243,0.000014253336,0.0000017193126,0.0000042763313,0.000018655532,6.99394e-7,0.00026991277],"genre_scores_gemma":[0.9988226,0.000021173755,0.000028101807,0.000016500975,0.0000015909359,0.0000061954124,0.000044551576,5.2526127e-7,0.0010587691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981064,0.00003864772,0.000017145945,0.000033589888,0.00003807544,0.00006192141],"domain_scores_gemma":[0.99911934,0.00017719837,0.00017020504,0.000045749246,0.00011518252,0.0003723371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029279524,0.00018276404,0.00016838522,0.00040510777,0.0005080744,0.000947848,0.00016674657,0.0004633167,0.004395155],"category_scores_gemma":[0.0015149342,0.00015576209,0.00035213516,0.00038912895,0.00023830893,0.00037621785,0.00039152504,0.00053740956,0.00067668426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020124778,0.002067331,0.9817291,0.000017714661,0.00003529653,0.00018666986,0.0036992547,0.0001535475,0.0015917551,0.00013698761,0.00030601435,0.0098751085],"study_design_scores_gemma":[0.000015501095,0.0006103972,0.98804945,0.000008980728,0.000022071014,0.000095402036,0.008665885,0.000898454,0.0005785783,0.00010547652,0.000930013,0.000019843701],"about_ca_topic_score_codex":0.0074095028,"about_ca_topic_score_gemma":0.011006105,"teacher_disagreement_score":0.0074095028,"about_ca_system_score_codex":0.0002598768,"about_ca_system_score_gemma":0.0002523291,"threshold_uncertainty_score":0.014732778},"labels":[],"label_agreement":null},{"id":"W4205519830","doi":"10.1109/itec.2013.6573457","title":"Table of contents","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Honeywell (Canada); McMaster University; Concordia University","funders":"","keywords":"Table (database); Computer science; Database","score_opus":0.004539185825214882,"score_gpt":0.16516482232410776,"score_spread":0.1606256364988929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205519830","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005789344,0.005716112,0.0029427982,0.004210783,0.016112614,0.00041754515,0.017336814,0.0017767469,0.95090777],"genre_scores_gemma":[0.0025121537,0.005438981,0.001526263,0.0021653082,0.004737928,0.00019159286,0.014165103,0.0006604753,0.96860206],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946123,0.000056620916,0.000036233585,0.00010704464,0.00028723807,0.00005167734],"domain_scores_gemma":[0.99725693,0.00042761437,0.00012706786,0.00022614026,0.0015457617,0.00041654013],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005207046,0.0008322789,0.0009628981,0.0032340875,0.0013597641,0.0041359845,0.0013448661,0.00095474394,0.795201],"category_scores_gemma":[0.005687897,0.00028771796,0.0004157658,0.0030452192,0.00034387308,0.0024473858,0.0016084304,0.0012520642,0.74123424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016463322,0.000026701386,0.00013059833,0.00022278029,0.000002619294,0.000028153245,0.000023078548,0.000102465674,0.00024189419,0.0024659494,0.9325454,0.06419371],"study_design_scores_gemma":[0.0000022020242,0.0000107916285,0.00018648617,0.00012971356,0.0000019612012,0.00004649877,0.000022451864,0.000033385935,0.000064853215,0.0007705842,0.99872774,0.0000032716825],"about_ca_topic_score_codex":0.0025444417,"about_ca_topic_score_gemma":0.0028340963,"teacher_disagreement_score":0.204799,"about_ca_system_score_codex":0.0013210784,"about_ca_system_score_gemma":0.0021918777,"threshold_uncertainty_score":0.29212087},"labels":[],"label_agreement":null},{"id":"W4205578953","doi":"10.3390/en15020665","title":"Reliability-as-a-Service Usage of Electric Vehicles: Suitability Analysis for Different Types of Buildings","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Backup; Transport engineering; Reliability (semiconductor); Automotive engineering; Service (business); Engineering; Reliability engineering; Computer science; Business; Power (physics); Database","score_opus":0.005463982580781838,"score_gpt":0.20502093062958027,"score_spread":0.19955694804879842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205578953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884173,0.00017546439,0.00892814,0.000049623628,0.000006261906,0.000049180482,0.0006395022,0.000063691274,0.001670826],"genre_scores_gemma":[0.9978236,0.000068947025,0.0011924913,0.000003973337,0.000004536508,0.000024464516,0.00064104644,0.000012973011,0.00022804689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892503,0.00037466167,0.000069106056,0.00014399973,0.00030042505,0.00018676402],"domain_scores_gemma":[0.995685,0.0026613742,0.0005213305,0.00028384227,0.0006600921,0.00018843959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012927288,0.0007311539,0.00049384334,0.0025824795,0.00036492755,0.0010579112,0.0006022158,0.0006581459,0.0012014507],"category_scores_gemma":[0.004171098,0.00028194214,0.0015702262,0.001921215,0.00042994987,0.0010163035,0.00060327456,0.00027706882,0.0003033659],"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":[0.00044747532,0.00018350239,0.3681777,0.00015264182,0.00025152552,0.0009934038,0.00031075033,0.59760934,0.0044992366,0.0016952038,0.000932857,0.02474632],"study_design_scores_gemma":[0.000012117082,0.00028353345,0.25048918,0.000025150146,0.00010536057,0.0006592403,0.00076749356,0.7434928,0.0020889086,0.0009444168,0.0010884019,0.00004347098],"about_ca_topic_score_codex":0.006791923,"about_ca_topic_score_gemma":0.0058507593,"teacher_disagreement_score":0.006791923,"about_ca_system_score_codex":0.0007153207,"about_ca_system_score_gemma":0.00037998,"threshold_uncertainty_score":0.013504744},"labels":[],"label_agreement":null},{"id":"W4205625484","doi":"10.1016/j.trd.2021.103152","title":"Techno-economic comparison of electrification for heavy-duty trucks in China by 2040","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Electrification; Truck; Battery electric vehicle; Miles per gallon gasoline equivalent; Battery (electricity); Automotive engineering; Engineering; Electricity; Electric vehicle; Green vehicle; Total cost of ownership; Environmental economics; Waste management; Business; Power (physics); Electrical engineering; Economics; Fuel efficiency","score_opus":0.016216891443337704,"score_gpt":0.2711013851267031,"score_spread":0.2548844936833654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205625484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386346,0.0003132459,0.00028859713,0.00012367294,0.00000933062,0.00001549192,0.001358969,0.000017032371,0.0040101935],"genre_scores_gemma":[0.9967782,0.00015606833,0.00010127038,0.0000116698575,0.000003565938,0.0000094028555,0.0011473282,0.0000026922735,0.0017899133],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999711,0.000040238097,0.000019022802,0.000035358575,0.000102918704,0.000091352726],"domain_scores_gemma":[0.9997243,0.000051633346,0.00005197483,0.000016981401,0.00010950468,0.000045582394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039634976,0.00043158463,0.00023624774,0.001984147,0.0003993802,0.0009863535,0.00046748976,0.0004145423,0.0020647321],"category_scores_gemma":[0.0005139538,0.00022348517,0.00096276635,0.0022482974,0.00033599307,0.0008477766,0.0004921596,0.0002483397,0.00015930104],"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":[0.0018225026,0.00033418968,0.767929,0.00057823944,0.00089102,0.0017653498,0.00057210476,0.14311814,0.009481417,0.01527399,0.0053323233,0.05290159],"study_design_scores_gemma":[0.000032396685,0.0001442312,0.9654798,0.000021139509,0.00017011273,0.000096840835,0.00076394813,0.026668064,0.0013699814,0.00076469633,0.004447838,0.00004085615],"about_ca_topic_score_codex":0.09578069,"about_ca_topic_score_gemma":0.14129345,"teacher_disagreement_score":0.09578069,"about_ca_system_score_codex":0.0037166094,"about_ca_system_score_gemma":0.0020716812,"threshold_uncertainty_score":0.19044638},"labels":[],"label_agreement":null},{"id":"W4205630111","doi":"10.1016/j.matpr.2021.12.525","title":"Hybrid chaotic approaches to solve profit based unit commitment with plug-in electric vehicle and renewable energy sources in winter and summer","year":2022,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Renewable energy; Greenhouse gas; Computer science; Chaotic; Profit (economics); Automotive engineering; Environmental science; Environmental economics; Simulation; Engineering; Electrical engineering; Artificial intelligence; Economics","score_opus":0.01834137774729178,"score_gpt":0.1778548271094222,"score_spread":0.1595134493621304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205630111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18654871,0.0007081155,0.79331404,0.0008004175,0.00019635739,0.00009715917,0.00013196697,0.00028222226,0.017921083],"genre_scores_gemma":[0.9671736,0.00010654625,0.028442957,0.000054806933,0.00003647873,0.000081852406,0.000050887873,0.000052024046,0.0040008416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997956,0.00008689207,0.00000985728,0.000030842053,0.00003256306,0.000044214186],"domain_scores_gemma":[0.9992901,0.00050324417,0.000043797525,0.000027798516,0.00009009546,0.000044898283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007494761,0.0008058712,0.0009973842,0.0003997693,0.0005500881,0.0009531952,0.0009738457,0.0011856982,0.004171427],"category_scores_gemma":[0.0017218974,0.0006550492,0.00066524727,0.00046609194,0.0005509017,0.0007978524,0.0009722002,0.0011050039,0.00017686246],"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":[0.000042615706,0.00001632922,0.00021460376,0.000021300752,0.00002231227,0.000040250547,0.000026458247,0.990012,0.00017634401,0.0030043907,0.00028380426,0.006139574],"study_design_scores_gemma":[0.000003865816,0.000007677762,0.000034218036,0.0000013151273,0.0000025285663,0.0000027818737,0.000007776626,0.99899656,0.000039842398,0.000842673,0.00005942703,0.0000013275369],"about_ca_topic_score_codex":0.0076362235,"about_ca_topic_score_gemma":0.009159494,"teacher_disagreement_score":0.0076362235,"about_ca_system_score_codex":0.00066150044,"about_ca_system_score_gemma":0.0006996675,"threshold_uncertainty_score":0.015183568},"labels":[],"label_agreement":null},{"id":"W4205643695","doi":"10.2172/1837962","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Second Quarter 2021","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Electricity; Renewable energy; Compressed natural gas; Gallon (US); Transport engineering; Business; Environmental economics; Telecommunications; Engineering; Waste management; Electrical engineering; Economics; Geography","score_opus":0.0076140020698151015,"score_gpt":0.2228357108901723,"score_spread":0.21522170882035718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205643695","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12999731,0.0063902102,0.0023476535,0.0055112434,0.00096819707,0.00010174422,0.71398383,0.0016919812,0.13900779],"genre_scores_gemma":[0.25776678,0.010189024,0.0025822988,0.0012390808,0.00028807003,0.0002406881,0.65620184,0.0003451247,0.0711471],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.999474,0.000023493953,0.000033215558,0.000064109896,0.00030773104,0.00009737165],"domain_scores_gemma":[0.998505,0.00006765713,0.00026592636,0.000039211536,0.0010081474,0.00011403054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042231925,0.0005369802,0.00021790044,0.0024063224,0.00030925305,0.0016782929,0.00038218425,0.00041676892,0.009455707],"category_scores_gemma":[0.0016104402,0.00022996779,0.00044866765,0.005340849,0.00007656901,0.0015507133,0.00067778985,0.0007483474,0.0070209713],"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":[0.00013384319,0.00008879959,0.10387432,0.00069387455,0.000063177846,0.00018783176,0.00035116432,0.0035126703,0.0009077872,0.0033950834,0.77164495,0.11514651],"study_design_scores_gemma":[0.000014508762,0.00008287103,0.35444143,0.00037717822,0.0000483093,0.000315552,0.0010894645,0.0027908874,0.0018799825,0.00046226042,0.6384606,0.00003695894],"about_ca_topic_score_codex":0.090290844,"about_ca_topic_score_gemma":0.10696722,"teacher_disagreement_score":0.090290844,"about_ca_system_score_codex":0.0020547162,"about_ca_system_score_gemma":0.0018729914,"threshold_uncertainty_score":0.17953056},"labels":[],"label_agreement":null},{"id":"W4205928352","doi":"10.2172/1069149","title":"Smith Newton Vehicle Performance Evaluation - 3rd Quarter 2012 (Brochure)","year":2013,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Brochure; Mathematics; Computer science; Art; History; Archaeology; Literature","score_opus":0.014418257330108177,"score_gpt":0.23343283307717771,"score_spread":0.21901457574706953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205928352","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039154194,0.0014512878,0.011356046,0.0026270729,0.0010256096,0.0023262284,0.2672081,0.0043034963,0.670548],"genre_scores_gemma":[0.08025645,0.0014430973,0.010106482,0.0004411312,0.00014571846,0.0010713581,0.21573475,0.0010333287,0.6897678],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948821,0.0003961783,0.00015472677,0.0002650712,0.0040427702,0.0002590479],"domain_scores_gemma":[0.9940135,0.00019083807,0.00023807329,0.00030279186,0.005061934,0.00019291295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034997363,0.0010879433,0.0006181903,0.0023719415,0.0009300307,0.0020622313,0.0011846088,0.0007490712,0.054800667],"category_scores_gemma":[0.004158441,0.0005840849,0.0005710168,0.002042514,0.00023896717,0.0011648101,0.0006924259,0.0008978953,0.04007138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004414557,0.00040614407,0.0056078117,0.0001300488,0.00002833288,0.000033724806,0.00008423875,0.0021724952,0.0014806634,0.0008263283,0.90636104,0.08242759],"study_design_scores_gemma":[0.00010328653,0.00089624466,0.10257098,0.0002644438,0.000052398307,0.0000775489,0.0003052984,0.0044008275,0.010646941,0.00066352513,0.8799386,0.00007999028],"about_ca_topic_score_codex":0.11773381,"about_ca_topic_score_gemma":0.16940743,"teacher_disagreement_score":0.11773381,"about_ca_system_score_codex":0.0037425053,"about_ca_system_score_gemma":0.004660002,"threshold_uncertainty_score":0.23409706},"labels":[],"label_agreement":null},{"id":"W4206201019","doi":"10.1016/j.energy.2021.122931","title":"Energy virtual networks based on electric vehicles for sustainable buildings: System modelling for comparative energy and economic analyses","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Renewable energy; Electricity; Environmental economics; Flexibility (engineering); Efficient energy use; Electric vehicle; Zero-energy building; Energy storage; Engineering; Automotive engineering; Computer science; Power (physics); Electrical engineering; Economics","score_opus":0.012260027715249288,"score_gpt":0.22377189299259462,"score_spread":0.21151186527734533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206201019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2530207,0.0017108719,0.6309248,0.0017364558,0.00029508292,0.00012081847,0.00088425865,0.00027904336,0.111028],"genre_scores_gemma":[0.97550017,0.00066410645,0.01025458,0.000036905873,0.000032335436,0.000059493766,0.00012208294,0.00004520379,0.013284993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997111,0.00016237683,0.0000061155497,0.000033813638,0.000043285356,0.000043304928],"domain_scores_gemma":[0.9992855,0.00048197966,0.00006455699,0.000040271254,0.00009058251,0.000037134945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059156516,0.00057502644,0.00062875944,0.0005415306,0.0005167085,0.0016510071,0.00096324907,0.0009688724,0.007536537],"category_scores_gemma":[0.002412065,0.0003517064,0.0005412664,0.0010680931,0.0007946486,0.00255848,0.0008585598,0.0008494148,0.0004422134],"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":[0.000019486839,0.000018417826,0.00015241062,0.000013981536,0.000007643916,0.000019196106,0.000018573133,0.9429321,0.0001507393,0.053783216,0.0003778406,0.002506337],"study_design_scores_gemma":[0.0000050078997,0.00001251146,0.000110982,0.0000068885424,0.000006986286,0.000008915975,0.000028824628,0.97937095,0.00007748835,0.019211965,0.0011552317,0.0000042386537],"about_ca_topic_score_codex":0.011516891,"about_ca_topic_score_gemma":0.01433383,"teacher_disagreement_score":0.011516891,"about_ca_system_score_codex":0.0019971223,"about_ca_system_score_gemma":0.0008440965,"threshold_uncertainty_score":0.025212228},"labels":[],"label_agreement":null},{"id":"W4206209083","doi":"10.1109/tte.2022.3141780","title":"Visual Detection and Deep Reinforcement Learning-Based Car Following and Energy Management for Hybrid Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":100,"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 Waterloo","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Reinforcement learning; Powertrain; Energy management; Computer science; Control (management); Intelligent transportation system; Deep learning; Intelligent control; Artificial intelligence; Object detection; Electric vehicle; Energy (signal processing); Engineering; Pattern recognition (psychology); Power (physics)","score_opus":0.0038573839950434815,"score_gpt":0.19203413960646606,"score_spread":0.18817675561142258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206209083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08720237,0.0003834792,0.9067341,0.00018750338,0.00006367531,0.000038759918,0.000026923411,0.0008099045,0.0045532333],"genre_scores_gemma":[0.96935374,0.00006637226,0.028615152,0.000056735535,0.000008308738,0.000025688543,0.000036968933,0.000015265867,0.0018217114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998851,0.000013930506,0.0000053332246,0.00003692521,0.0000335046,0.000025160785],"domain_scores_gemma":[0.99989533,0.000022571321,0.000018123754,0.000012999685,0.00003890917,0.000012048844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025896583,0.00035137814,0.00023725856,0.00018412765,0.00015868356,0.00029582088,0.0006474985,0.00034539195,0.0007942583],"category_scores_gemma":[0.0004141248,0.00017203679,0.00025667364,0.00013620897,0.00026180813,0.0004062281,0.00040971878,0.00044899757,0.00012978532],"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":[0.00012451933,0.00017013396,0.0015843839,0.000049477912,0.000038952203,0.00006171806,0.000054773955,0.80807054,0.020882195,0.0046494547,0.0012853162,0.16302846],"study_design_scores_gemma":[0.0000029772843,0.000024214445,0.0001759819,9.136745e-7,0.000002944153,0.0000038987587,0.000002792316,0.9978079,0.0013254067,0.00044387628,0.00020686457,0.0000021443739],"about_ca_topic_score_codex":0.009920196,"about_ca_topic_score_gemma":0.0071962574,"teacher_disagreement_score":0.009920196,"about_ca_system_score_codex":0.00059076387,"about_ca_system_score_gemma":0.0007372733,"threshold_uncertainty_score":0.019724905},"labels":[],"label_agreement":null},{"id":"W4207041549","doi":"10.2172/1798711","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Q4 2020)","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Compressed natural gas; Transport engineering; Electric vehicle; Charging station; Quarter (Canadian coin); Telecommunications; Engineering; Business; Environmental economics; Environmental science; Electrical engineering; Geography; Economics","score_opus":0.00837545066043781,"score_gpt":0.2299147556789406,"score_spread":0.22153930501850277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207041549","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07082224,0.0025573003,0.0021497929,0.001809778,0.00041397935,0.00012345196,0.80037874,0.0014845371,0.12026015],"genre_scores_gemma":[0.13937962,0.0056461925,0.0039025068,0.00058162987,0.00013568331,0.00023104405,0.7927786,0.00025823666,0.05708648],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946934,0.000025720488,0.000038242404,0.00006267452,0.0003166658,0.00008735967],"domain_scores_gemma":[0.9982772,0.00009196085,0.00031013356,0.000044257566,0.001168134,0.00010831214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048657513,0.0005740082,0.00018137417,0.0035772878,0.00027184185,0.0013451601,0.00043455328,0.00036473593,0.012946076],"category_scores_gemma":[0.0018116238,0.00027055162,0.000485373,0.0070035765,0.00008405277,0.001409463,0.0008215268,0.00058354705,0.0072617154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014105126,0.00008392944,0.10019607,0.00075263507,0.00006083561,0.00012939592,0.00024629966,0.0039573596,0.0009182403,0.0031969757,0.7917129,0.09860439],"study_design_scores_gemma":[0.00001984057,0.00009735259,0.27568555,0.00026499087,0.00004659487,0.00016338605,0.000578534,0.0019354348,0.0016720251,0.0004182898,0.7190815,0.0000365651],"about_ca_topic_score_codex":0.112571545,"about_ca_topic_score_gemma":0.10797911,"teacher_disagreement_score":0.112571545,"about_ca_system_score_codex":0.0019312882,"about_ca_system_score_gemma":0.0019841932,"threshold_uncertainty_score":0.2238326},"labels":[],"label_agreement":null},{"id":"W4207088135","doi":"","title":"Matheuristiques pour un problème d'ordonnancement d'opérations de recharge nocturne de bus électriques sur plusieurs jours","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Humanities; Computer science; Art","score_opus":0.009898905293105041,"score_gpt":0.21570086706120162,"score_spread":0.20580196176809656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207088135","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21399392,0.005252579,0.64279777,0.026091503,0.0020615389,0.00031903182,0.0010100505,0.0002764065,0.1081972],"genre_scores_gemma":[0.7837942,0.00473082,0.100921035,0.0013616428,0.0035789288,0.00079468865,0.0012122408,0.0005430449,0.10306334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990571,0.00038028587,0.00003610661,0.00017299202,0.00022824519,0.00012528733],"domain_scores_gemma":[0.9851201,0.013065077,0.0005301089,0.00014292623,0.00064063707,0.00050114567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025354116,0.0027744358,0.0016809787,0.002959377,0.00223329,0.0034935377,0.0019254552,0.0042528114,0.01371812],"category_scores_gemma":[0.023065392,0.0007627215,0.0026094886,0.001757044,0.0031244073,0.0045923484,0.0023984632,0.006459709,0.00070165395],"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":[0.0003806791,0.00033691176,0.002218607,0.0008590058,0.00018456446,0.0007001203,0.0007576168,0.5210823,0.0032506245,0.43480024,0.009699563,0.025729774],"study_design_scores_gemma":[0.00007730798,0.000057967132,0.0011647098,0.00005907747,0.000034224886,0.000109485794,0.00026023452,0.879152,0.0006929846,0.11537131,0.0029884393,0.00003217256],"about_ca_topic_score_codex":0.021516899,"about_ca_topic_score_gemma":0.010406453,"teacher_disagreement_score":0.021516899,"about_ca_system_score_codex":0.0035361347,"about_ca_system_score_gemma":0.0017277481,"threshold_uncertainty_score":0.045891702},"labels":[],"label_agreement":null},{"id":"W4210314198","doi":"10.3390/su14031441","title":"How Many Electric Vehicles Are Needed to Reach CO2 Emissions Goals? A Case Study from Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Greenhouse gas; Order (exchange); Electricity; Baseline (sea); Environmental science; Environmental economics; Public transport; Climate change; Business; Transport engineering; Engineering; Economics; Finance","score_opus":0.004486703920136524,"score_gpt":0.2024176112808486,"score_spread":0.19793090736071206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210314198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93947434,0.0018772933,0.003940571,0.0026563304,0.00006205093,0.00036670396,0.0062737186,0.00012104307,0.0452279],"genre_scores_gemma":[0.9869802,0.00087524805,0.0027054872,0.00017731974,0.000008863831,0.000038278326,0.0015648784,0.000023238932,0.0076265433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992335,0.0001371885,0.000016999142,0.00007695951,0.00017805633,0.00035730246],"domain_scores_gemma":[0.9992279,0.00014612683,0.000041240553,0.000025707728,0.00040494127,0.00015405774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049231935,0.0007941301,0.00028446858,0.00078062556,0.0027686988,0.001522344,0.0015582592,0.00079489057,0.0030931528],"category_scores_gemma":[0.0011461475,0.00024010727,0.00063071214,0.002334493,0.0009798146,0.0006922685,0.00052821677,0.0006895313,0.00021692987],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008914432,0.0012331088,0.23670158,0.00095791847,0.0004629731,0.01587445,0.0028756785,0.5533161,0.008534672,0.03764407,0.06962433,0.07188371],"study_design_scores_gemma":[0.00050409767,0.0006338901,0.35593104,0.00040997122,0.0005453664,0.0014052319,0.036898237,0.48438844,0.006966504,0.0048848134,0.10702338,0.00040909284],"about_ca_topic_score_codex":0.9939731,"about_ca_topic_score_gemma":0.9964244,"teacher_disagreement_score":0.04216296,"about_ca_system_score_codex":0.04216296,"about_ca_system_score_gemma":0.02106782,"threshold_uncertainty_score":0.30591506},"labels":[],"label_agreement":null},{"id":"W4210752204","doi":"10.1016/s1464-2859(21)00391-6","title":"GreenCore joins Loop Energy, BayoTech for EV charging stations","year":2021,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Joins; Loop (graph theory); Battery (electricity); Electrical engineering; Engineering; Hydrogen; Energy (signal processing); Automotive engineering; Telecommunications; Computer science; Physics; Power (physics)","score_opus":0.006731706244335863,"score_gpt":0.18784695045307434,"score_spread":0.18111524420873848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210752204","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024329448,0.00063738413,0.015496982,0.009441638,0.0036064049,0.0003820047,0.0064513367,0.010645786,0.92900896],"genre_scores_gemma":[0.043302692,0.00025060287,0.0045591765,0.0018144405,0.00024313157,0.00005334458,0.00744929,0.0012721715,0.9410552],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827945,0.000055944263,0.0000178013,0.00021284583,0.001090205,0.00034373841],"domain_scores_gemma":[0.99754435,0.00009033951,0.000033476983,0.00014482021,0.0014826562,0.0007042956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011317849,0.0006856857,0.00038009085,0.0009963219,0.0023085843,0.0030470046,0.00095489365,0.0015825469,0.14838694],"category_scores_gemma":[0.0015496447,0.00038169487,0.0003462079,0.0009287414,0.0006186824,0.00216896,0.0019839676,0.0021070733,0.05053334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003626255,0.00022967988,0.0018241339,0.00006392875,0.000008712773,0.00017796997,0.00014077833,0.00031897821,0.0047498303,0.016442927,0.87758404,0.0980964],"study_design_scores_gemma":[0.000029644938,0.00006252929,0.0010900695,0.000008198155,0.0000029683908,0.00005403976,0.00009615591,0.00057798513,0.0016144665,0.0009507351,0.99550396,0.00000931017],"about_ca_topic_score_codex":0.052110996,"about_ca_topic_score_gemma":0.12444597,"teacher_disagreement_score":0.14838694,"about_ca_system_score_codex":0.0037986648,"about_ca_system_score_gemma":0.005725934,"threshold_uncertainty_score":0.49640375},"labels":[],"label_agreement":null},{"id":"W4210906193","doi":"10.1016/s1351-4180(13)70443-4","title":"Enerkem partners Canadian Government in waste-to-fuels project","year":2013,"lang":"en","type":"article","venue":"Focus on Catalysts","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Renewable energy; Global Positioning System; Government (linguistics); Business; Focus (optics); Wireless; Tractor; Telecommunications; Environmental economics; Transport engineering; Computer science; Engineering; Automotive engineering; Electrical engineering; Economics","score_opus":0.006517811192792659,"score_gpt":0.20749197728527627,"score_spread":0.2009741660924836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210906193","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049284108,0.004041787,0.010275489,0.09268724,0.0033503736,0.0013230845,0.0334874,0.0033529343,0.8021976],"genre_scores_gemma":[0.17547774,0.0021865624,0.018931085,0.008798289,0.00016116342,0.00031038828,0.019395342,0.0012518009,0.77348757],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903467,0.0005836295,0.00008444539,0.000477931,0.006024974,0.0024823502],"domain_scores_gemma":[0.98684746,0.00043300263,0.00013848818,0.0004041438,0.009344553,0.002832366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006829545,0.0013988668,0.00075254415,0.0034168747,0.011095079,0.006735314,0.0034515597,0.003691057,0.044259403],"category_scores_gemma":[0.007631672,0.00056637503,0.0008382126,0.0025587196,0.0015604374,0.002263316,0.004141527,0.0032715907,0.005885667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007287403,0.00074090983,0.0076195025,0.0003660215,0.00008363631,0.00056798157,0.0010686066,0.0019487906,0.004784171,0.11696031,0.75726914,0.10786224],"study_design_scores_gemma":[0.00010423207,0.000100866164,0.007098645,0.00014236188,0.000039718925,0.000116860036,0.0022501478,0.001983511,0.0055153044,0.0039156745,0.97868824,0.000044420598],"about_ca_topic_score_codex":0.9445601,"about_ca_topic_score_gemma":0.9694099,"teacher_disagreement_score":0.06348629,"about_ca_system_score_codex":0.06348629,"about_ca_system_score_gemma":0.26242238,"threshold_uncertainty_score":0.46062744},"labels":[],"label_agreement":null},{"id":"W4211041802","doi":"10.1016/j.rser.2022.112211","title":"A review of electric bus vehicles research topics – Methods and trends","year":2022,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; National Research Council Canada","keywords":"Electrification; Sustainability; Environmental economics; Software deployment; Greenhouse gas; Sustainable transport; Public transport; Transport engineering; Service (business); Business; Electric vehicle; Engineering; Electricity; Marketing; Economics","score_opus":0.04736053759990284,"score_gpt":0.3662376938274758,"score_spread":0.31887715622757296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211041802","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018823339,0.997584,0.00021729655,0.00032830174,0.00016924783,0.000011916053,0.00006935068,0.000009818513,0.0014218497],"genre_scores_gemma":[0.00075611065,0.99817955,0.0003226507,0.000117284624,0.00010590318,0.000011165093,0.00006830135,0.0000026642444,0.00043637742],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929416,0.00014871938,0.00014985907,0.00011858379,0.00025162072,0.00003702303],"domain_scores_gemma":[0.9981206,0.0011272358,0.00021324163,0.00004330024,0.00044588817,0.000049809092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015417102,0.0010487309,0.0012436126,0.006339276,0.00034628974,0.001765009,0.0009829547,0.00088144536,0.0066213873],"category_scores_gemma":[0.0024696188,0.00048452523,0.0010563874,0.007691828,0.0004753896,0.0023596315,0.0006310657,0.0011843544,0.0023933938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051043593,0.00007582436,0.0004544661,0.085871585,0.00019476362,0.00013406578,0.0002518206,0.00044397733,0.0013888002,0.005809662,0.029777257,0.87554675],"study_design_scores_gemma":[0.0000065919844,0.000078868296,0.0012980604,0.02074637,0.0002875236,0.00044220165,0.00017796295,0.00008652915,0.00041786477,0.0016962368,0.97473836,0.000023440678],"about_ca_topic_score_codex":0.0024861784,"about_ca_topic_score_gemma":0.0050175563,"teacher_disagreement_score":0.0066213873,"about_ca_system_score_codex":0.00093201554,"about_ca_system_score_gemma":0.002886372,"threshold_uncertainty_score":0.022150755},"labels":[],"label_agreement":null},{"id":"W4211136105","doi":"10.1017/9781316389553.020","title":"Transport","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College","funders":"","keywords":"Electrification; Work (physics); Greenhouse gas; Climate change; Public transport; Business; Renewable energy; Environmental science; Passenger transport; Transport engineering; Natural resource economics; Environmental economics; Electricity; Engineering; Economics","score_opus":0.008228582669011315,"score_gpt":0.15383589242970136,"score_spread":0.14560730976069006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211136105","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049778086,0.007507495,0.0011574463,0.0017559717,0.002223535,0.000042050484,0.0008950896,0.0004101209,0.98551047],"genre_scores_gemma":[0.0018962044,0.003921127,0.00043088442,0.0002932955,0.00015254082,0.000014360657,0.00059915014,0.000092190036,0.99260026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973184,0.000023850493,0.00001526698,0.000060223865,0.00012458295,0.000044310054],"domain_scores_gemma":[0.99984956,0.000012992571,0.000008413472,0.000025965757,0.00007291742,0.000030018058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017533432,0.0010370476,0.00040353273,0.0012301122,0.0017688873,0.005123333,0.0009422052,0.002027364,0.38014054],"category_scores_gemma":[0.00040937093,0.00033111224,0.00054735044,0.0024749704,0.0004981689,0.0034182407,0.0021215917,0.0013636274,0.23691252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026723137,0.000031361113,0.0001845582,0.00040611267,0.000005094002,0.00012000684,0.00029044924,0.0004235154,0.0006868642,0.05544585,0.66471446,0.27766505],"study_design_scores_gemma":[8.100066e-7,0.0000043955565,0.000084681786,0.00006756851,8.4980144e-7,0.000054767665,0.00005041307,0.000036168094,0.000047979545,0.0014083943,0.9982419,0.000002018137],"about_ca_topic_score_codex":0.0076603848,"about_ca_topic_score_gemma":0.012237263,"teacher_disagreement_score":0.38014054,"about_ca_system_score_codex":0.001858234,"about_ca_system_score_gemma":0.0016566159,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4212803567","doi":"10.2172/1820581","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: First Quarter 2021","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Quarter (Canadian coin); Renewable energy; Compressed natural gas; Gallon (US); Transport engineering; Business; Telecommunications; Environmental economics; Engineering; Waste management; Electrical engineering; Economics; Geography","score_opus":0.0077696493348303934,"score_gpt":0.2203768656850055,"score_spread":0.2126072163501751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212803567","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11679667,0.00661066,0.0022986736,0.0039629308,0.00083150325,0.00010554374,0.7381948,0.0016376213,0.1295616],"genre_scores_gemma":[0.25060892,0.010675522,0.002969999,0.0009601677,0.0002472803,0.00023747998,0.6822698,0.00033268394,0.051698077],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99941933,0.000025259851,0.0000399809,0.0000727251,0.00034045722,0.00010222321],"domain_scores_gemma":[0.9982664,0.000092167764,0.00029921537,0.00004521627,0.0011722875,0.00012476294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047139786,0.0005464137,0.00021466536,0.0028261167,0.00033065263,0.0015892582,0.0004074828,0.00042144294,0.009043398],"category_scores_gemma":[0.001892341,0.00024775648,0.00045912334,0.005487853,0.00008607555,0.0016883647,0.00067941967,0.0007823283,0.0066663288],"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":[0.00012947922,0.00009443172,0.109927386,0.0009078791,0.000072327326,0.00017877166,0.0003955868,0.0037476902,0.00092796475,0.0040612957,0.747534,0.13202319],"study_design_scores_gemma":[0.000012628664,0.000088236346,0.36212516,0.0004657382,0.00005068311,0.0003009129,0.001009026,0.0025868001,0.001994305,0.0004964509,0.6308302,0.000039736926],"about_ca_topic_score_codex":0.087974384,"about_ca_topic_score_gemma":0.10026136,"teacher_disagreement_score":0.087974384,"about_ca_system_score_codex":0.0020533106,"about_ca_system_score_gemma":0.001831063,"threshold_uncertainty_score":0.17492461},"labels":[],"label_agreement":null},{"id":"W4213007008","doi":"10.1515/ehs-2021-0095","title":"Optimizing of hybrid renewable photovoltaic/wind turbine/super capacitor for improving self-sustainability","year":2022,"lang":"en","type":"article","venue":"Energy Harvesting and Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"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 Calgary","funders":"","keywords":"Renewable energy; Supercapacitor; Photovoltaic system; Energy storage; Environmental science; Wind power; Microgrid; Load profile; Automotive engineering; Electric potential energy; Energy (signal processing); Electrical engineering; Engineering; Electricity; Capacitance; Power (physics); Mathematics; Physics","score_opus":0.0057875587996121716,"score_gpt":0.18009528372452924,"score_spread":0.17430772492491706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213007008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676293,0.0008295041,0.025150852,0.000088135064,0.00004560698,0.00004307354,0.00018158382,0.00021426761,0.005817705],"genre_scores_gemma":[0.99558663,0.00015570658,0.003294751,0.000012143968,0.000002383148,0.000012893992,0.000042840304,0.00000855065,0.00088410993],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993134,0.000007138131,0.0000042972533,0.000014375155,0.000029612587,0.0000132686755],"domain_scores_gemma":[0.9999566,0.0000068655995,0.0000062681415,0.000004973768,0.000019904559,0.000005327217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011967376,0.00023866203,0.00027509258,0.00022917478,0.00017826416,0.00039341336,0.00036918608,0.00022798896,0.0013281633],"category_scores_gemma":[0.000112944836,0.00010990727,0.00020853187,0.0003440034,0.00008444901,0.00040918405,0.00015878407,0.00013222039,0.00020268816],"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":[0.00034988747,0.0002841138,0.0043526287,0.0005740286,0.00011734167,0.00067236304,0.00003570752,0.115437336,0.8106138,0.0013606739,0.0012186718,0.06498342],"study_design_scores_gemma":[0.000045348956,0.0007645214,0.007625951,0.0000213052,0.000103698825,0.0002626979,0.00014382623,0.54198587,0.4439723,0.00080828037,0.0042277253,0.00003846804],"about_ca_topic_score_codex":0.0008427744,"about_ca_topic_score_gemma":0.0023305072,"teacher_disagreement_score":0.0013281633,"about_ca_system_score_codex":0.00019796511,"about_ca_system_score_gemma":0.00023040368,"threshold_uncertainty_score":0.0044431686},"labels":[],"label_agreement":null},{"id":"W4213043085","doi":"10.4018/978-1-7998-7626-7","title":"Electric Vehicles and the Future of Energy Efficient Transportation","year":2021,"lang":"en","type":"book","venue":"Advances in mechatronics and mechanical engineering (AMME) book series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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":"Transport engineering; Energy (signal processing); Aeronautics; Automotive engineering; Business; Engineering; Physics","score_opus":0.0012471890078673078,"score_gpt":0.15935719321646233,"score_spread":0.15811000420859503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213043085","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011088751,0.085720055,0.0028993755,0.017089946,0.0050166566,0.000016172135,0.00007721742,0.00009914762,0.88797253],"genre_scores_gemma":[0.027483957,0.08444573,0.0018275937,0.005333229,0.002015565,0.000023787828,0.0001271387,0.000054453893,0.8786886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981385,0.000035238292,0.000004306545,0.000018084327,0.00010109066,0.000027474247],"domain_scores_gemma":[0.99991405,0.000024754134,0.000007830587,0.0000064542387,0.00003448124,0.000012371314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019277392,0.0005794278,0.00021814677,0.0005134042,0.000867943,0.0031883402,0.00045909474,0.0011704448,0.023503259],"category_scores_gemma":[0.0003676917,0.00014915572,0.00024345443,0.00075868453,0.00095007214,0.0033954422,0.0009864852,0.0019322949,0.006435324],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093824465,0.000016484808,0.000081380225,0.00013974708,0.000004426446,0.000050751805,0.00020404233,0.00054234004,0.00024539055,0.66652477,0.25520706,0.07697429],"study_design_scores_gemma":[9.18689e-7,0.0000033961637,0.00006672721,0.000083836225,8.4844277e-7,0.000035452784,0.000112618014,0.0001431348,0.0000382344,0.02783558,0.97167754,0.0000017711352],"about_ca_topic_score_codex":0.0026916119,"about_ca_topic_score_gemma":0.0053079715,"teacher_disagreement_score":0.023503259,"about_ca_system_score_codex":0.0012864224,"about_ca_system_score_gemma":0.0018520057,"threshold_uncertainty_score":0.078626275},"labels":[],"label_agreement":null},{"id":"W4213294105","doi":"10.1002/9781119771739.ch2","title":"Influence of Electric Vehicles on Improvements in the Electric Distribution Grid","year":2022,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Grid; Electricity; Distribution grid; Electric power distribution; Computer science; Distribution (mathematics); State (computer science); Engineering; Electrical engineering; Geography","score_opus":0.0026990466527629458,"score_gpt":0.18621704921575644,"score_spread":0.1835180025629935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213294105","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088338375,0.046925742,0.008461213,0.039221887,0.0018389397,0.000055625675,0.00067636656,0.00032242513,0.8141595],"genre_scores_gemma":[0.8340127,0.07603627,0.005621039,0.005925521,0.0009954221,0.000026021142,0.00048254832,0.00019928275,0.07670124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990792,0.00027639468,0.000024589812,0.00008403001,0.00039753714,0.0001382989],"domain_scores_gemma":[0.99872917,0.00044788557,0.00011963758,0.00008172483,0.0005498895,0.000071663635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010276473,0.00029357037,0.00015075547,0.00039872932,0.0003562214,0.002244891,0.0002894963,0.00066893024,0.00853385],"category_scores_gemma":[0.003785501,0.00009650878,0.00020569729,0.0010075226,0.0006067282,0.0025615676,0.00091232633,0.0010164105,0.0010716119],"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":[0.00022690733,0.00011219537,0.009153553,0.0007231116,0.00003765249,0.00053107814,0.00046151652,0.02667475,0.0025243864,0.45712942,0.06084247,0.441583],"study_design_scores_gemma":[0.000018558094,0.00013023717,0.019998781,0.000558753,0.000027569982,0.00032307178,0.0011882965,0.0048368005,0.0028612365,0.037330534,0.9326914,0.000034616638],"about_ca_topic_score_codex":0.008706511,"about_ca_topic_score_gemma":0.009175287,"teacher_disagreement_score":0.008706511,"about_ca_system_score_codex":0.0017881783,"about_ca_system_score_gemma":0.0011158712,"threshold_uncertainty_score":0.028548598},"labels":[],"label_agreement":null},{"id":"W4214606128","doi":"10.1353/sgo.2022.0000","title":"Electric Vehicles Are Coming: Are Charging Stations in North Carolina a Harbinger of this Change?","year":2022,"lang":"en","type":"article","venue":"Southeastern geographer","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electric light; Quarter (Canadian coin); Investment (military); Agricultural economics; Engineering; Business; Advertising; Geography; Electricity; Political science; Economics; Politics; Electrical engineering; Archaeology","score_opus":0.011877205642942867,"score_gpt":0.19784913867533085,"score_spread":0.185971933032388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214606128","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15987067,0.014621767,0.0009933877,0.50991374,0.007869331,0.000067810244,0.0016694131,0.0001789036,0.30481496],"genre_scores_gemma":[0.5863573,0.0367758,0.0015639733,0.14186287,0.0025324328,0.00013963119,0.0023780905,0.0003447085,0.2280452],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99911135,0.00013782093,0.000031030875,0.00012312106,0.00026247767,0.00033409765],"domain_scores_gemma":[0.9978776,0.00025532753,0.00017103765,0.00005025372,0.0009371103,0.00070862245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006643757,0.00022684126,0.00020033239,0.00083325815,0.008905056,0.0055712876,0.0013893963,0.0020947205,0.032138135],"category_scores_gemma":[0.0025198776,0.0002613515,0.0004192978,0.0022051183,0.0016548432,0.004600065,0.0028664635,0.0044038347,0.0030197976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006129637,0.00009727278,0.02123922,0.0003526232,0.000020962376,0.0016362487,0.023175105,0.00021001564,0.0005869808,0.010778247,0.85006446,0.09177747],"study_design_scores_gemma":[0.0000079163665,0.00002543244,0.04229146,0.0006004521,0.000023203165,0.00035117276,0.13694853,0.00022143351,0.00016706217,0.0021688342,0.81712484,0.00006962972],"about_ca_topic_score_codex":0.580265,"about_ca_topic_score_gemma":0.78812873,"teacher_disagreement_score":0.580265,"about_ca_system_score_codex":0.010405933,"about_ca_system_score_gemma":0.018973118,"threshold_uncertainty_score":0.8444138},"labels":[],"label_agreement":null},{"id":"W4214839648","doi":"10.1111/itor.13133","title":"Toward supply side incentive: The impact of government schemes on a vehicle manufacturer's adoption of electric vehicles","year":2022,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Subsidy; Dual (grammatical number); Business; Incentive; Scheme (mathematics); Economic surplus; Profit (economics); Environmental economics; Social Welfare; Electric vehicle; Industrial organization; Welfare; Microeconomics; Economics; Power (physics)","score_opus":0.024517196643072923,"score_gpt":0.3180686608064885,"score_spread":0.29355146416341554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214839648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770513,0.00024524276,0.0033650002,0.001719214,0.000036549096,0.00010267452,0.00015119824,0.000034800636,0.017294005],"genre_scores_gemma":[0.99868816,0.00003340767,0.00033571207,0.00006938443,0.000005789868,0.000011269525,0.000021064085,0.0000018408823,0.0008332732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718034,0.0015284905,0.00009774696,0.0002349627,0.00031212217,0.00064635795],"domain_scores_gemma":[0.9729235,0.019266088,0.0041375277,0.00064684637,0.0017948645,0.0012312017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041521643,0.00021979236,0.00039800548,0.00054480287,0.0004780495,0.001508287,0.00070652715,0.0015626863,0.012574844],"category_scores_gemma":[0.023287445,0.00017706226,0.0006203614,0.0006174922,0.00081505015,0.0015520968,0.0011425316,0.0016926362,0.00039389782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005345451,0.0066404054,0.4739,0.0008892317,0.0006985762,0.0017857433,0.0009952859,0.2164867,0.016506441,0.118923485,0.008375388,0.14945331],"study_design_scores_gemma":[0.0005782191,0.0040527973,0.6147904,0.00024301565,0.0006902066,0.0004136813,0.0054307696,0.3025433,0.007733129,0.05161382,0.011763362,0.000147344],"about_ca_topic_score_codex":0.0059593567,"about_ca_topic_score_gemma":0.007296824,"teacher_disagreement_score":0.012574844,"about_ca_system_score_codex":0.0020466198,"about_ca_system_score_gemma":0.0017913261,"threshold_uncertainty_score":0.04206705},"labels":[],"label_agreement":null},{"id":"W4214840021","doi":"10.18280/mmep.090108","title":"Optimal Placement of Electric Vehicle Charging Station in Distribution System Using Meta-Heuristic Techniques","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Electric vehicle; Automotive engineering; Sensitivity (control systems); Heuristic; Reliability (semiconductor); Grid; AC power; Electric power system; Voltage; Charging station; Engineering; Power (physics); Reliability engineering; Computer science; Electrical engineering; Electronic engineering; Algorithm; Mathematics","score_opus":0.017117271600802626,"score_gpt":0.20033964657769981,"score_spread":0.1832223749768972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214840021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18414125,0.0023575136,0.7930731,0.00056800334,0.00011404588,0.0003491232,0.00020561117,0.00033925052,0.01885212],"genre_scores_gemma":[0.8564923,0.00077797193,0.13829952,0.000089611116,0.00003167619,0.00026427847,0.00013631213,0.000041680356,0.0038667286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997986,0.00008834792,0.000008397426,0.000030660438,0.00003564986,0.000038442944],"domain_scores_gemma":[0.9996183,0.00024330098,0.000047462818,0.000012239093,0.000057854668,0.000020853897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064482336,0.0007823891,0.00076917897,0.0011039695,0.0004407949,0.0010176159,0.0006683204,0.0008741678,0.0018206639],"category_scores_gemma":[0.0012162582,0.0006270542,0.0008074697,0.0009161492,0.00044776127,0.0005132574,0.00044991035,0.0005164,0.00016602674],"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":[0.000017179615,0.000016926871,0.00021718236,0.000029150022,0.000016480573,0.000031877666,0.000016469574,0.9919704,0.00023445822,0.0009358726,0.00019702864,0.0063170167],"study_design_scores_gemma":[0.000010093592,0.000021456843,0.000085188534,0.000008525416,0.000009230278,0.000007097315,0.000022060272,0.99868864,0.00012925628,0.0007790826,0.00023666621,0.0000026560137],"about_ca_topic_score_codex":0.01077354,"about_ca_topic_score_gemma":0.010129102,"teacher_disagreement_score":0.01077354,"about_ca_system_score_codex":0.0011434681,"about_ca_system_score_gemma":0.0014282804,"threshold_uncertainty_score":0.02142167},"labels":[],"label_agreement":null},{"id":"W4214865219","doi":"10.1109/tits.2022.3152679","title":"A Data-Driven Approach for Electric Bus Energy Consumption Estimation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Computer science; Randomness; Energy consumption; Global Positioning System; Real-time computing; Android (operating system); Simulation; Engineering; Artificial intelligence; Statistics; Telecommunications; Electrical engineering; Mathematics","score_opus":0.030358781037675787,"score_gpt":0.24254757068970356,"score_spread":0.21218878965202778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214865219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014564581,0.00016571934,0.9836083,0.000099314515,0.000039008908,0.00003798184,0.00031306557,0.00043350883,0.0007385086],"genre_scores_gemma":[0.7690552,0.00045329766,0.22515512,0.00011986292,0.000103713726,0.0002595494,0.0023915896,0.000104569626,0.0023570494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995726,0.00006785754,0.000038172595,0.00014270228,0.00013505871,0.000043783093],"domain_scores_gemma":[0.9993424,0.0002462987,0.00007292319,0.000067701854,0.00024988188,0.000020741645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004771659,0.0008504291,0.00077367615,0.0009040914,0.0002892254,0.0007097756,0.0010053564,0.00054353056,0.00088264886],"category_scores_gemma":[0.0020161471,0.00055842724,0.00077481376,0.0011980297,0.00019070112,0.000838676,0.0005230615,0.00093193824,0.00037544075],"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":[0.000115386756,0.00014294693,0.00503339,0.00020371258,0.00008803069,0.00021210268,0.00010413117,0.81475914,0.00817712,0.0058579207,0.0019185853,0.16338748],"study_design_scores_gemma":[0.0000021951416,0.000012254485,0.00053373445,0.000004002897,0.0000049795535,0.000016258524,0.000011002033,0.9969838,0.00080404634,0.0010941878,0.00052658736,0.000006936527],"about_ca_topic_score_codex":0.010040877,"about_ca_topic_score_gemma":0.0090668285,"teacher_disagreement_score":0.010040877,"about_ca_system_score_codex":0.0004511676,"about_ca_system_score_gemma":0.0007949489,"threshold_uncertainty_score":0.019964874},"labels":[],"label_agreement":null},{"id":"W4220665782","doi":"10.1007/s42835-022-01044-z","title":"An Algorithm to Enhance the Profit Margin of Electric Vehicle Owners and Resilience of Multi-microgrid Using EV","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","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":"University of Alberta","funders":"Korea Electrotechnology Research Institute","keywords":"Microgrid; Upgrade; Energy storage; Energy management system; Energy management; Grid; Bidding; Energy supply; Renewable energy; Reliability engineering; Computer science; Automotive engineering; Environmental economics; Energy (signal processing); Engineering; Business; Electrical engineering; Economics; Operating system","score_opus":0.003146040946685377,"score_gpt":0.21740699623053922,"score_spread":0.21426095528385383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220665782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23112194,0.00049771596,0.7591283,0.00045448128,0.0001550149,0.00016654463,0.000104837134,0.0006855794,0.0076857107],"genre_scores_gemma":[0.9473791,0.00006831658,0.050179508,0.00006036465,0.000023634382,0.00006601709,0.00007408922,0.000022182829,0.002126769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998369,0.00003224004,0.000008185491,0.000044496555,0.000024868163,0.000053136388],"domain_scores_gemma":[0.99965775,0.00013218429,0.000044567823,0.000021114558,0.00010452749,0.000039825718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049937743,0.0006647016,0.00092893036,0.0005319417,0.0004358902,0.0006806429,0.0010373406,0.00083061866,0.0022868142],"category_scores_gemma":[0.000877554,0.0002437336,0.00036583966,0.00035684116,0.0003303029,0.0007645877,0.0007924957,0.00037625016,0.00017607398],"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":[0.00023691925,0.00010712846,0.0012758994,0.00005779499,0.00004356292,0.000089454385,0.000048126592,0.92252636,0.0043708053,0.0024360707,0.0014036319,0.06740422],"study_design_scores_gemma":[0.000011821395,0.000035291796,0.00013302354,0.0000026121484,0.000008063213,0.000013726181,0.000013577837,0.9986864,0.00039039782,0.00057167123,0.00013089279,0.0000025527188],"about_ca_topic_score_codex":0.0027780607,"about_ca_topic_score_gemma":0.0028071976,"teacher_disagreement_score":0.0027780607,"about_ca_system_score_codex":0.0005050135,"about_ca_system_score_gemma":0.0008376736,"threshold_uncertainty_score":0.0076501966},"labels":[],"label_agreement":null},{"id":"W4220842920","doi":"10.18280/i2m.210105","title":"Design and Measurement of a Modern Charging System Based on IoT","year":2022,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Internet of Things; Computer science; Cloud computing; Electric power system; Mobile device; Electrical engineering; Power (physics); Embedded system; Real-time computing; Engineering; Operating system","score_opus":0.022599086957242165,"score_gpt":0.21870173743351098,"score_spread":0.19610265047626882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220842920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4497865,0.0005150429,0.50532955,0.0008025504,0.0008366081,0.0008986458,0.00082997174,0.0062455586,0.034755588],"genre_scores_gemma":[0.9510644,0.0001527378,0.044781424,0.0001491436,0.000047479956,0.00023026261,0.00031966344,0.00006161979,0.0031932034],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991479,0.00010938905,0.00006615157,0.00012439243,0.00047226224,0.00007998],"domain_scores_gemma":[0.9995333,0.000047020167,0.00005000495,0.00008593708,0.00024352263,0.00004013553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051056955,0.0005263554,0.00045529875,0.0010385667,0.0006033496,0.00092198554,0.000787341,0.0007719925,0.0019773317],"category_scores_gemma":[0.0007446329,0.00024705473,0.00036510153,0.00075755565,0.0002980451,0.0010246339,0.0005204473,0.0004135792,0.00064359023],"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":[0.00093141804,0.0007017442,0.05277653,0.0010860051,0.00023130146,0.00092776463,0.0011015009,0.040403195,0.53648305,0.012044942,0.00962888,0.34368366],"study_design_scores_gemma":[0.00022060749,0.004134263,0.06405541,0.00014362803,0.00034433353,0.0023095403,0.0007514748,0.4466242,0.40123835,0.004973285,0.07490446,0.00030048174],"about_ca_topic_score_codex":0.0007964904,"about_ca_topic_score_gemma":0.0005824055,"teacher_disagreement_score":0.0019773317,"about_ca_system_score_codex":0.000547999,"about_ca_system_score_gemma":0.00049594825,"threshold_uncertainty_score":0.0066148043},"labels":[],"label_agreement":null},{"id":"W4220888891","doi":"10.2172/1855378","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Third Quarter 2021)","year":2022,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Otsuka Canada Pharmaceutical; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Electricity; Renewable energy; Quarter (Canadian coin); Gallon (US); Compressed natural gas; Transport engineering; Business; Telecommunications; Environmental economics; Engineering; Waste management; Electrical engineering; Economics; Geography","score_opus":0.007851657249818789,"score_gpt":0.224929931948284,"score_spread":0.21707827469846522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220888891","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06211699,0.0030158595,0.0023340757,0.0032237822,0.00055817195,0.00011920115,0.8259817,0.0014084354,0.10124175],"genre_scores_gemma":[0.15638393,0.006758779,0.004217283,0.0010225935,0.00017928367,0.00029082107,0.76873124,0.00037565368,0.06204053],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942124,0.000024720755,0.000036221285,0.0000601484,0.00036144874,0.00009626116],"domain_scores_gemma":[0.998285,0.000080632286,0.0002720312,0.000052449115,0.0011909152,0.0001189438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005446442,0.00053479965,0.00019695147,0.0023411324,0.00032632344,0.0014843034,0.0003840789,0.00040998406,0.009786274],"category_scores_gemma":[0.001486808,0.00023539334,0.00047203907,0.0054342756,0.00007203186,0.00128973,0.00067685905,0.00072381314,0.007146774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001023676,0.00007173758,0.052015945,0.00046379483,0.000040250157,0.000114610426,0.00021649306,0.0026424732,0.00064722507,0.0024595652,0.86146957,0.079756014],"study_design_scores_gemma":[0.000015269592,0.000075884695,0.24643464,0.00032353873,0.000042110787,0.00021279223,0.00069429155,0.0023343523,0.0023945144,0.00046417542,0.74697256,0.00003583097],"about_ca_topic_score_codex":0.11021025,"about_ca_topic_score_gemma":0.115795046,"teacher_disagreement_score":0.11021025,"about_ca_system_score_codex":0.0021804536,"about_ca_system_score_gemma":0.0022641218,"threshold_uncertainty_score":0.21913749},"labels":[],"label_agreement":null},{"id":"W4220967732","doi":"10.21203/rs.3.rs-1417400/v1","title":"How does consumer demand for new energy vehicles drive innovation? -- based on social network and text mining analysis","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Ottawa","funders":"","keywords":"Theme (computing); Incentive; Product (mathematics); Marketing; Automotive industry; Consumer behaviour; Product innovation; Computer science; Business; Data science; Advertising; Economics; Engineering; Microeconomics; World Wide Web","score_opus":0.026260985987093956,"score_gpt":0.30944804036316714,"score_spread":0.28318705437607317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220967732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98359793,0.00025622893,0.0061603184,0.0007929654,0.00004570404,0.00014327609,0.0053881733,0.00013560646,0.0034798365],"genre_scores_gemma":[0.9910676,0.00019116719,0.0041352445,0.000038334387,0.0000635833,0.000116855816,0.003272165,0.000012661078,0.0011024426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992543,0.00022634739,0.00009067346,0.00016943214,0.00018636718,0.000072782816],"domain_scores_gemma":[0.99484384,0.0037150085,0.0006374056,0.00013935307,0.00049702916,0.00016730234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116917,0.00038654657,0.00035184843,0.005133797,0.00038220425,0.0012919017,0.00030051862,0.00048906606,0.002584668],"category_scores_gemma":[0.003951089,0.00013519837,0.0010422942,0.0034638336,0.00021188575,0.001330071,0.00039943482,0.00042243418,0.00066890597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025478713,0.0005428416,0.9128801,0.0003863643,0.0003306511,0.0004801169,0.0013689277,0.0035109995,0.0021486916,0.0014785766,0.00414909,0.07246881],"study_design_scores_gemma":[0.000015274658,0.00017358917,0.8292079,0.00009752804,0.00022959508,0.0003346571,0.0042444523,0.15696613,0.002227725,0.002272363,0.004180737,0.00004994659],"about_ca_topic_score_codex":0.006124328,"about_ca_topic_score_gemma":0.0064852918,"teacher_disagreement_score":0.006124328,"about_ca_system_score_codex":0.00079370977,"about_ca_system_score_gemma":0.00042288285,"threshold_uncertainty_score":0.012177348},"labels":[],"label_agreement":null},{"id":"W4221062476","doi":"10.1109/tste.2022.3161897","title":"Fairness and Utilitarianism in Allocating Energy to EVs During Power Contingencies Using Modified Division Rules","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Utilitarianism; Ranking (information retrieval); Division (mathematics); Energy (signal processing); Computer science; Task (project management); Mathematical optimization; Operations research; Index (typography); Power (physics); Engineering; Artificial intelligence; Mathematics; Statistics; Arithmetic","score_opus":0.005414175679749349,"score_gpt":0.18992860915985701,"score_spread":0.18451443348010765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221062476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14083588,0.00044565485,0.8500584,0.0003426839,0.00010017471,0.00022366166,0.000069289665,0.00020528637,0.007718934],"genre_scores_gemma":[0.8874026,0.00017249286,0.10975414,0.00008826926,0.00007143002,0.00015870432,0.000054586766,0.000052962747,0.0022447524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9907611,0.0041679093,0.0005931787,0.0014458408,0.0020971359,0.00093486806],"domain_scores_gemma":[0.9881571,0.0072486233,0.0015472004,0.0011003944,0.0013893474,0.0005574029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00921498,0.0010001895,0.0015895882,0.0010332587,0.0008703065,0.0032714815,0.0021109087,0.0010413988,0.001375551],"category_scores_gemma":[0.018025145,0.00046662716,0.00089449674,0.0009750331,0.0015322113,0.0028639785,0.0014447194,0.001157595,0.00028279767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090203923,0.00028820158,0.003919786,0.00013786953,0.00018290002,0.00017267186,0.0005018472,0.78423214,0.0052324682,0.053734407,0.00136231,0.14933337],"study_design_scores_gemma":[0.00006794023,0.00018254008,0.0010288921,0.000017919858,0.000031725885,0.000074881515,0.0000832923,0.9655207,0.002573159,0.029232163,0.0011418911,0.00004484635],"about_ca_topic_score_codex":0.0034232473,"about_ca_topic_score_gemma":0.0026580545,"teacher_disagreement_score":0.00921498,"about_ca_system_score_codex":0.0020231805,"about_ca_system_score_gemma":0.0024344758,"threshold_uncertainty_score":0.04873407},"labels":[],"label_agreement":null},{"id":"W4224280741","doi":"10.3390/su14084826","title":"Design of Multi-Renewable Energy Storage and Management System Using RL-ICSO Based MPPT Scheme for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microgrid; Renewable energy; Maximum power point tracking; Photovoltaic system; Energy storage; Fault (geology); Controller (irrigation); Computer science; Engineering; Electric power system; Harmonics; Automotive engineering; Control theory (sociology); Electrical engineering; Power (physics); Voltage; Inverter","score_opus":0.009546723322583708,"score_gpt":0.2142037933858005,"score_spread":0.2046570700632168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224280741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068692036,0.0012434162,0.90194327,0.00041162857,0.00021532722,0.00029657033,0.0001057327,0.0019699496,0.025122058],"genre_scores_gemma":[0.95517164,0.00023520249,0.039211687,0.000076472985,0.000032327658,0.00017050571,0.000057947447,0.00002415517,0.0050199945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.00002607235,0.00001546919,0.000046136734,0.000054486718,0.000019029589],"domain_scores_gemma":[0.9999311,0.000009072989,0.000016179134,0.000006620138,0.000029993435,0.000007008148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017501012,0.00042257374,0.0006100566,0.00023703698,0.0004268794,0.00059135404,0.0009518267,0.0004834422,0.0027456577],"category_scores_gemma":[0.0001511327,0.00024395518,0.00038061623,0.000217693,0.0002076945,0.000395813,0.0003106416,0.0003273439,0.0005923496],"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":[0.0004260607,0.00027039665,0.0018018038,0.0006619215,0.00016448363,0.0008758429,0.00029038748,0.6130646,0.13048962,0.013849294,0.005753159,0.23235245],"study_design_scores_gemma":[0.000042611242,0.00017390367,0.0003920935,0.000016369404,0.000022579994,0.00012021981,0.000018638724,0.9869342,0.0074625327,0.00078013923,0.004021678,0.000015016767],"about_ca_topic_score_codex":0.0020719978,"about_ca_topic_score_gemma":0.002209258,"teacher_disagreement_score":0.0027456577,"about_ca_system_score_codex":0.000348578,"about_ca_system_score_gemma":0.00042015687,"threshold_uncertainty_score":0.009185135},"labels":[],"label_agreement":null},{"id":"W4224925155","doi":"10.3389/fenrg.2022.773440","title":"Smart EV Charging Strategies Based on Charging Behavior","year":2022,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":33,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Ottawa","keywords":"Software deployment; Idle; Scheduling (production processes); Load shifting; Smart grid; Electricity; Grid; Computer science; Peak demand; Demand response; Automotive engineering; Electric vehicle; Reliability engineering; Electrical engineering; Engineering; Power (physics); Operations management","score_opus":0.016148065394247065,"score_gpt":0.26139584812591776,"score_spread":0.2452477827316707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224925155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1852173,0.0006176629,0.79398686,0.00027071533,0.00012284624,0.00014912258,0.00008219514,0.0007088391,0.018844446],"genre_scores_gemma":[0.987491,0.00014701353,0.011024811,0.00004464978,0.000014136623,0.000026972717,0.000035429348,0.000021156031,0.001194795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961674,0.00007952919,0.000027011829,0.00007687194,0.00011343116,0.0000863138],"domain_scores_gemma":[0.99967635,0.00008435701,0.000068853595,0.000037768947,0.00009693574,0.0000357655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004106504,0.0006267244,0.0005332451,0.0004540118,0.00030511816,0.0007869495,0.00085298595,0.0003773079,0.0011675784],"category_scores_gemma":[0.0013359046,0.00020920979,0.00030385508,0.00033897976,0.00029582708,0.00082171353,0.00048318953,0.00029054008,0.0003438393],"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":[0.00038721057,0.00014771272,0.004516821,0.00015306714,0.00006798904,0.0002241858,0.00018115634,0.8239011,0.025358729,0.014936066,0.0018101318,0.12831584],"study_design_scores_gemma":[0.000014116838,0.00007783709,0.0009906719,0.000008373288,0.000018797327,0.000093487644,0.00006524666,0.9905607,0.0027964115,0.0041888305,0.0011705677,0.000014966698],"about_ca_topic_score_codex":0.0011590061,"about_ca_topic_score_gemma":0.0012863048,"teacher_disagreement_score":0.0011675784,"about_ca_system_score_codex":0.00039353376,"about_ca_system_score_gemma":0.00048900617,"threshold_uncertainty_score":0.0039058924},"labels":[],"label_agreement":null},{"id":"W4225986377","doi":"10.5455/jjee.204-1624302314","title":"A Solar Energy System with Vehicle-to-Home and Vehicle-to-Grid Option for Newfoundland/Canada Conditions through Mozilla IoT","year":2022,"lang":"en","type":"article","venue":"Jordan Journal of Electrical Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Internet of Things; Grid; Solar energy; Computer science; Telecommunications; Environmental science; Meteorology; Geography; Embedded system; Engineering; Electrical engineering; Geodesy","score_opus":0.003308239563983039,"score_gpt":0.17334033789213577,"score_spread":0.17003209832815272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225986377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7740324,0.00033586213,0.06569289,0.0010603883,0.00020337488,0.0009952448,0.0025807794,0.010963591,0.14413546],"genre_scores_gemma":[0.94369864,0.00020352633,0.015969725,0.00012879948,0.000010898608,0.00012702556,0.0010574723,0.00008546657,0.03871845],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983466,0.0000097735865,0.00000488597,0.000029765413,0.000060231723,0.000060712464],"domain_scores_gemma":[0.99987745,0.0000056036088,0.000007257793,0.000014097536,0.00007227915,0.000023373925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017156271,0.00031479128,0.0002036684,0.00033267087,0.0009579609,0.00090168946,0.00047763594,0.00021175548,0.0055991304],"category_scores_gemma":[0.0001557762,0.00011939906,0.00020240505,0.00034896287,0.0002788098,0.00044811843,0.00053527317,0.0003302588,0.00074948824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022156953,0.00072960596,0.064418525,0.00062675436,0.00015332122,0.003343409,0.0017163395,0.04543458,0.3423301,0.010587678,0.09767154,0.43077254],"study_design_scores_gemma":[0.0005591136,0.0014013551,0.23111941,0.00024822398,0.0004397834,0.001779096,0.0038215225,0.21208566,0.27323493,0.0015035415,0.27345023,0.00035715016],"about_ca_topic_score_codex":0.41117987,"about_ca_topic_score_gemma":0.63321155,"teacher_disagreement_score":0.5888201,"about_ca_system_score_codex":0.0027632706,"about_ca_system_score_gemma":0.0028721783,"threshold_uncertainty_score":0.8175731},"labels":[],"label_agreement":null},{"id":"W4226111684","doi":"10.2139/ssrn.4054246","title":"Investment in Vehicle to Grid and Distributed Energy Resources: Distributor Versus Prosumer's Perspectives and the Impact of Applicable Rates","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Prosumer; Distributor; Smart grid; Grid; Environmental economics; Business; Investment (military); Industrial organization; Distributed generation; Computer science; Economics; Microeconomics; Engineering; Renewable energy; Electrical engineering; Mathematics; Political science","score_opus":0.00294124823054291,"score_gpt":0.2040810329437945,"score_spread":0.2011397847132516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226111684","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3525829,0.014710026,0.020636477,0.037651353,0.00074296654,0.000071373666,0.0011356351,0.00010264477,0.57236665],"genre_scores_gemma":[0.9811158,0.0045699314,0.0010818504,0.00072411646,0.000213804,0.000023185563,0.00008790462,0.000030212233,0.012153187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99628156,0.00149052,0.00009413578,0.00033190034,0.0010381306,0.0007636992],"domain_scores_gemma":[0.9936899,0.0038872352,0.0005131755,0.00027491234,0.0013254454,0.0003093624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035795865,0.0008641853,0.00086871366,0.0013722107,0.0008191648,0.008325115,0.0016777089,0.0034060436,0.006275969],"category_scores_gemma":[0.011353587,0.00045511415,0.0011477699,0.0019680331,0.002114524,0.0046616565,0.0017055854,0.0035934593,0.0003797386],"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":[0.00047474008,0.00014067312,0.007144423,0.00018870067,0.000101012374,0.0005635813,0.00021530983,0.03672598,0.00075092696,0.91172284,0.004664244,0.037307616],"study_design_scores_gemma":[0.00025736506,0.0009791901,0.03370064,0.001029855,0.0007561015,0.0012488537,0.0039860397,0.09085293,0.005884671,0.74495107,0.11613905,0.00021425643],"about_ca_topic_score_codex":0.010706836,"about_ca_topic_score_gemma":0.011336781,"teacher_disagreement_score":0.010706836,"about_ca_system_score_codex":0.004905136,"about_ca_system_score_gemma":0.0025935476,"threshold_uncertainty_score":0.035589397},"labels":[],"label_agreement":null},{"id":"W4226183308","doi":"10.1016/j.trd.2022.103254","title":"Simulating competition among heavy-duty zero-emissions vehicles under different infrastructure conditions","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Truck; Drivetrain; Automotive engineering; Zero emission; Mandate; Heavy duty; Software deployment; Competition (biology); Business; Environmental science; Computer science; Engineering; Torque; Waste management","score_opus":0.01670284441561146,"score_gpt":0.24959504499952476,"score_spread":0.2328922005839133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226183308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919362,0.000041362666,0.0017605314,0.0001942472,0.000045157085,0.000039511615,0.00040458504,0.00003763227,0.005540786],"genre_scores_gemma":[0.99749786,0.000022270684,0.00075004133,0.000034528464,0.0000055395003,0.000019547413,0.00023739634,0.000012475792,0.0014202525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993243,0.00012699995,0.000019200237,0.000110549816,0.00005876539,0.0003602152],"domain_scores_gemma":[0.99450135,0.0037892235,0.00024059963,0.00013906193,0.00043012548,0.00089971605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010308812,0.0009291003,0.0013006241,0.0009794626,0.0012577742,0.0015704115,0.0028346584,0.0034085212,0.010306787],"category_scores_gemma":[0.0035418153,0.0007997997,0.0014999576,0.0011619045,0.0013895121,0.0015025989,0.00092485687,0.001698623,0.00040875832],"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":[0.00039107128,0.0003075181,0.0023707517,0.000021493512,0.000028629209,0.00011294427,0.00003175914,0.9941127,0.00045243028,0.0011761198,0.00039746432,0.00059723813],"study_design_scores_gemma":[0.00010168235,0.00018329601,0.0013790454,0.0000038644444,0.00001672049,0.000012527203,0.00017160918,0.9971328,0.0002816623,0.0005646792,0.00013642944,0.000015651078],"about_ca_topic_score_codex":0.101161554,"about_ca_topic_score_gemma":0.06922758,"teacher_disagreement_score":0.101161554,"about_ca_system_score_codex":0.0032645885,"about_ca_system_score_gemma":0.002495969,"threshold_uncertainty_score":0.20114541},"labels":[],"label_agreement":null},{"id":"W4226204340","doi":"10.1109/mvt.2022.3158043","title":"Energy Consumption of a Battery Electric Vehicle in Winter Considering Preheating: Tradeoff Between Improved Performance and Total Energy Consumption","year":2022,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"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":"Energy consumption; Automotive engineering; Battery (electricity); Range (aeronautics); Battery electric vehicle; Environmental science; Driving range; Electric vehicle; Energy (signal processing); Driving cycle; Total energy; Energy storage; Consumption (sociology); Engineering; Electrical engineering; Aerospace engineering; Power (physics)","score_opus":0.006761970559324606,"score_gpt":0.18953045296559667,"score_spread":0.18276848240627208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226204340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993515,0.00014144494,0.0029444327,0.00004599465,0.00001032853,0.00000714163,0.00011481465,0.00005849893,0.0031624057],"genre_scores_gemma":[0.9991715,0.00004666326,0.0002120034,0.0000045780375,0.0000011296036,0.000003970956,0.00007154722,0.000008343155,0.00048021207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.000020584699,0.0000040731534,0.000019194955,0.000028975861,0.00005902727],"domain_scores_gemma":[0.9998549,0.00006402262,0.000013601518,0.000012100452,0.000038235852,0.00001712087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724362,0.0005288964,0.00059509644,0.00031064072,0.00036007253,0.0007639818,0.0004017251,0.00056289334,0.0018916252],"category_scores_gemma":[0.00039444177,0.00018187049,0.00080793805,0.0004275479,0.00032889956,0.000658812,0.00028568457,0.0003130435,0.0003001507],"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":[0.0004675892,0.00009255287,0.010288073,0.00009981179,0.00006364628,0.00041643932,0.0000854934,0.9643382,0.016768754,0.00046617643,0.00027358066,0.0066396734],"study_design_scores_gemma":[0.000052202708,0.0011308447,0.025395064,0.000024881621,0.00013984338,0.000265918,0.0004912854,0.94901043,0.021373212,0.00088538084,0.00118235,0.000048578433],"about_ca_topic_score_codex":0.010378931,"about_ca_topic_score_gemma":0.009230692,"teacher_disagreement_score":0.010378931,"about_ca_system_score_codex":0.00057996233,"about_ca_system_score_gemma":0.00044652753,"threshold_uncertainty_score":0.020637035},"labels":[],"label_agreement":null},{"id":"W4226375016","doi":"10.2139/ssrn.4071722","title":"Earthquake Resiliency Implication of Electric Vehicle Adoption in British Columbia","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Forensic engineering; Engineering; Seismology; Business; Geology","score_opus":0.002512747929532883,"score_gpt":0.1795233858636542,"score_spread":0.17701063793412133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226375016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848357,0.00015225381,0.00006964507,0.0022001965,0.000011962961,0.0000117968275,0.0005129357,0.0000064857895,0.012199097],"genre_scores_gemma":[0.9947292,0.00018474285,0.00002831616,0.00013794635,0.0000029887024,0.000003935419,0.0001605334,0.0000040970144,0.004748269],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993476,0.000059718448,0.000025427682,0.000052479714,0.00011603505,0.00039873683],"domain_scores_gemma":[0.99599624,0.00046838433,0.00042927513,0.00010058277,0.0022323153,0.000773306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040281535,0.00015822002,0.000255247,0.0010115129,0.002742891,0.0024129348,0.0009019657,0.0006880206,0.0073928563],"category_scores_gemma":[0.0036698128,0.00017982026,0.00016542738,0.0023760137,0.0011417462,0.00073785527,0.0014574642,0.0017454994,0.0003835961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004795238,0.00029278809,0.9246648,0.00009806593,0.00010980475,0.0020641878,0.0069739996,0.004180596,0.0013875955,0.009306673,0.009908272,0.040533774],"study_design_scores_gemma":[0.000014999618,0.000036006444,0.94897664,0.0000968539,0.00003608248,0.000102568505,0.036127318,0.002690244,0.0003812418,0.0007172855,0.010785443,0.00003531143],"about_ca_topic_score_codex":0.9911272,"about_ca_topic_score_gemma":0.9969592,"teacher_disagreement_score":0.025920382,"about_ca_system_score_codex":0.025920382,"about_ca_system_score_gemma":0.026384808,"threshold_uncertainty_score":0.18806642},"labels":[],"label_agreement":null},{"id":"W4229081544","doi":"10.1002/er.8009","title":"Life cycle assessment of electric scooters for mobility services: A green mobility solutions","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Global warming; Life-cycle assessment; Environmental science; Engineering; Environmental engineering; Environmental economics; Waste management; Transport engineering; Climate change; Production (economics)","score_opus":0.02687861124843603,"score_gpt":0.3372049314562061,"score_spread":0.31032632020777007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229081544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953871,0.0011286149,0.028294777,0.00020821483,0.000033394277,0.000415277,0.00493865,0.0001585691,0.010951452],"genre_scores_gemma":[0.98707587,0.00053069857,0.0070513724,0.000029361292,0.000004922588,0.00018146375,0.0024848436,0.000028586763,0.0026128753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996594,0.000100893034,0.000014838697,0.00004493424,0.00012726664,0.000052552037],"domain_scores_gemma":[0.99959975,0.00013506819,0.000044133496,0.000024261006,0.00017351471,0.00002330485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083170686,0.0009998545,0.0004996665,0.0016502818,0.00041677966,0.0009044162,0.00048504348,0.00065205235,0.0024124195],"category_scores_gemma":[0.00076581753,0.00021468847,0.0017363433,0.0012249775,0.00018663496,0.00078393874,0.00048550486,0.00032860338,0.0003506144],"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":[0.0005305185,0.00023394996,0.037689384,0.00051588967,0.00021925793,0.0003802173,0.00014144857,0.87833804,0.018714322,0.0016126928,0.0013808518,0.060243316],"study_design_scores_gemma":[0.00003722994,0.0014012759,0.049619976,0.00009141727,0.00018490446,0.00015969538,0.0007878126,0.9164285,0.020844823,0.003262818,0.0071102623,0.000071264585],"about_ca_topic_score_codex":0.01951246,"about_ca_topic_score_gemma":0.015253361,"teacher_disagreement_score":0.01951246,"about_ca_system_score_codex":0.0018675305,"about_ca_system_score_gemma":0.0010189925,"threshold_uncertainty_score":0.038797796},"labels":[],"label_agreement":null},{"id":"W4231113234","doi":"10.1016/s1464-2859(16)30039-6","title":"PowerDisc changes name to Loop Energy, wins grant to deploy fuel cell powered truck","year":2016,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Powertrain; Engineering; Software deployment; Heavy duty; Fuel cells; Sustainable development; Corporation; Automotive engineering; Sustainable energy; Transport engineering; Aeronautics; Business; Electrical engineering; Renewable energy; Finance; Political science","score_opus":0.00441517194705049,"score_gpt":0.1739791693769515,"score_spread":0.169563997429901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231113234","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023584326,0.0006661083,0.0017032103,0.008492543,0.0060000475,0.0003577921,0.0024735308,0.003473977,0.97447443],"genre_scores_gemma":[0.0060870815,0.00047408385,0.0005718406,0.0023760027,0.00038458258,0.000045786514,0.0015968957,0.00057488855,0.98788875],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668956,0.00008078652,0.00007004993,0.00024506552,0.0022852228,0.00062920473],"domain_scores_gemma":[0.995637,0.0001683402,0.000096338495,0.00023060253,0.0027385275,0.001129172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011493837,0.00067664875,0.00037099567,0.0016926902,0.00384127,0.004071729,0.0012661851,0.0020666195,0.19151849],"category_scores_gemma":[0.0035450496,0.00042530484,0.00035687245,0.0011879525,0.0011814681,0.0022013737,0.0014748661,0.0025887634,0.09464917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026523921,0.00004238527,0.00030392993,0.000027245545,0.0000012475685,0.00006570922,0.000050185354,0.00003000333,0.0005258846,0.003805229,0.97072226,0.02439944],"study_design_scores_gemma":[0.000005780957,0.00001694467,0.00049820356,0.000007973681,0.0000012654382,0.000036797956,0.000053098676,0.000030265679,0.00023977438,0.00012424748,0.9989806,0.000005033698],"about_ca_topic_score_codex":0.23936321,"about_ca_topic_score_gemma":0.35792664,"teacher_disagreement_score":0.23936321,"about_ca_system_score_codex":0.007015571,"about_ca_system_score_gemma":0.0129510425,"threshold_uncertainty_score":0.6406932},"labels":[],"label_agreement":null},{"id":"W4231709962","doi":"10.24018/ejeng.2021.6.5.2497","title":"Dynamic Modelling of a Solar Energy System with Vehicle to Home Option for Newfoundland Conditions","year":2021,"lang":"en","type":"article","venue":"European Journal of Engineering and Technology Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Battery (electricity); Engineering; Mode (computer interface); MATLAB; Automotive engineering; Energy (signal processing); Software; Photovoltaic system; Electrical engineering; Simulation; Power (physics); Computer science; Operating system","score_opus":0.012153005086131144,"score_gpt":0.22595883754370047,"score_spread":0.21380583245756932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231709962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7855809,0.0005890187,0.07930083,0.00048556452,0.000096621996,0.00017982275,0.002414935,0.0008921845,0.13046013],"genre_scores_gemma":[0.9870187,0.00013527054,0.0010717771,0.000021954074,0.0000036968727,0.000046474648,0.00025307343,0.00001968003,0.011429443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999149,0.000012370062,0.000003395975,0.000017384928,0.00002146717,0.000030613162],"domain_scores_gemma":[0.99993813,0.00002058936,0.000010357947,0.0000046934465,0.000020787527,0.000005416269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009885469,0.00042739854,0.0004693457,0.00031052847,0.00074008096,0.0010558708,0.00050758215,0.000744645,0.005696306],"category_scores_gemma":[0.00017059245,0.00021436326,0.00056911865,0.00026332415,0.00038760266,0.00040648534,0.00036450595,0.0003870761,0.0005050549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008081451,0.000014766524,0.0016289259,0.000054080963,0.000018116358,0.00029677662,0.00008791922,0.9900215,0.0031056325,0.00090336613,0.00063611206,0.0031518778],"study_design_scores_gemma":[0.00001583519,0.000049133017,0.0033225715,0.000012500568,0.000020092877,0.000057215206,0.00012476993,0.99332315,0.0010901053,0.00022429069,0.0017472692,0.000013050578],"about_ca_topic_score_codex":0.20776775,"about_ca_topic_score_gemma":0.1735372,"teacher_disagreement_score":0.7922323,"about_ca_system_score_codex":0.0015498099,"about_ca_system_score_gemma":0.0009207425,"threshold_uncertainty_score":0.4131168},"labels":[],"label_agreement":null},{"id":"W4231842441","doi":"10.2172/1483592","title":"What can be learned from The EV Project to inform others who may be interested in a similar study?","year":2015,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Software deployment; Quarter (Canadian coin); Transport engineering; Business; Corporation; Electric vehicle; Finance; Telecommunications; Environmental economics; Computer science; Engineering; Electricity; Electrical engineering; Economics; Physics","score_opus":0.06587556608131713,"score_gpt":0.3094982245912888,"score_spread":0.24362265850997167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231842441","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014332623,0.01204234,0.009105132,0.905231,0.024707465,0.003094282,0.0016195972,0.00045027738,0.029417304],"genre_scores_gemma":[0.097097486,0.022811396,0.048490226,0.7491463,0.014305167,0.018817162,0.0022661304,0.000600261,0.046466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9473837,0.038872674,0.0016341563,0.0022347518,0.0060187234,0.003855958],"domain_scores_gemma":[0.71364313,0.098339945,0.011694355,0.019456403,0.09425579,0.062610365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11692548,0.0012394659,0.001660193,0.0023206684,0.008501908,0.016552402,0.0057075256,0.013109514,0.021888096],"category_scores_gemma":[0.18469214,0.00065009244,0.0015163609,0.0023186433,0.0069055744,0.017689059,0.008946876,0.012945333,0.014763398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000530232,0.0026616985,0.01383142,0.0033598365,0.00012018457,0.0015659537,0.03070549,0.00022870996,0.00056191086,0.033764407,0.69174224,0.22092782],"study_design_scores_gemma":[0.00043080095,0.0011159014,0.0067385393,0.009590987,0.00011331161,0.0009575555,0.08969908,0.000478167,0.0010557579,0.03972081,0.8498733,0.00022585565],"about_ca_topic_score_codex":0.008320726,"about_ca_topic_score_gemma":0.01485537,"teacher_disagreement_score":0.11692548,"about_ca_system_score_codex":0.005181431,"about_ca_system_score_gemma":0.044107527,"threshold_uncertainty_score":0.6183684},"labels":[],"label_agreement":null},{"id":"W4233055943","doi":"10.1007/978-3-319-25130-1_5","title":"Conclusions and Future Directions","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Power (physics); Transmission (telecommunications); Real-time computing; Telecommunications; Wireless ad hoc network; Wireless","score_opus":0.0069908114202603495,"score_gpt":0.19111028713149206,"score_spread":0.18411947571123172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233055943","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016059682,0.24873002,0.011904521,0.23329765,0.08687416,0.00016594218,0.0012830541,0.0005586725,0.41558],"genre_scores_gemma":[0.0154065965,0.2935572,0.011515249,0.06728909,0.021538634,0.0003039103,0.0020052514,0.00028345632,0.5881006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872965,0.00032028236,0.00005226915,0.00020002486,0.00042452355,0.00027322563],"domain_scores_gemma":[0.9972874,0.0004674666,0.000084303305,0.00014633904,0.001358078,0.0006565206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003553414,0.00075746473,0.00059875066,0.0014683274,0.001472993,0.0060495944,0.0015749834,0.002649756,0.123435214],"category_scores_gemma":[0.00480485,0.00023419097,0.00077896845,0.0017436766,0.0012155216,0.0067719417,0.0024000225,0.003278748,0.044435542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009913993,0.000097090815,0.00020053533,0.00081243576,0.000012434226,0.00008973561,0.00016772396,0.0004650292,0.00035260525,0.07424305,0.6314701,0.29199016],"study_design_scores_gemma":[0.000010701537,0.0000252362,0.00015092688,0.0007978148,0.0000105453655,0.00007051029,0.0004654942,0.000103996084,0.0001499264,0.026542457,0.97166324,0.000009081472],"about_ca_topic_score_codex":0.004287654,"about_ca_topic_score_gemma":0.007826327,"teacher_disagreement_score":0.8765648,"about_ca_system_score_codex":0.0028378614,"about_ca_system_score_gemma":0.0061666328,"threshold_uncertainty_score":0.41293192},"labels":[],"label_agreement":null},{"id":"W4233107795","doi":"10.2172/1783774","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Third Quarter 2020","year":2021,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Compressed natural gas; Renewable energy; Transport engineering; Electric vehicle; Fossil fuel; Charging station; Telecommunications; Engineering; Business; Electrical engineering; Geography; Waste management","score_opus":0.007663507523299294,"score_gpt":0.22606247632154322,"score_spread":0.21839896879824391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233107795","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28572243,0.009510147,0.0031273768,0.0061272094,0.0010191589,0.00009132947,0.560556,0.0021539524,0.13169232],"genre_scores_gemma":[0.5172043,0.010034697,0.0025754084,0.0015612659,0.00027349274,0.00014863645,0.4276367,0.0002627053,0.040302787],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99954754,0.000022863167,0.00003700347,0.00006660268,0.000227108,0.00009875273],"domain_scores_gemma":[0.9985261,0.00007397182,0.00039104494,0.000041087977,0.0008299322,0.0001378427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039412806,0.00041063514,0.0002102789,0.0023085908,0.00027388168,0.0016400042,0.0003762903,0.00041077373,0.0066183107],"category_scores_gemma":[0.0013454797,0.00018633287,0.0005045273,0.005889625,0.000103144994,0.0013926466,0.00064636284,0.0007103426,0.004758469],"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":[0.00021757574,0.00011471463,0.28411946,0.00066676567,0.000102338025,0.00022249763,0.0005349712,0.003465964,0.0013652983,0.0040614344,0.5666139,0.13851508],"study_design_scores_gemma":[0.000011285698,0.0000857347,0.65524036,0.0002527163,0.000052689207,0.0003954228,0.0011523725,0.0024717345,0.00155438,0.00033049556,0.3384204,0.000032423228],"about_ca_topic_score_codex":0.093018234,"about_ca_topic_score_gemma":0.113693014,"teacher_disagreement_score":0.093018234,"about_ca_system_score_codex":0.0018161536,"about_ca_system_score_gemma":0.0014629985,"threshold_uncertainty_score":0.18495363},"labels":[],"label_agreement":null},{"id":"W4233841865","doi":"10.1109/glocom.2014.7417592","title":"Lightweight Security and Privacy-Preserving Scheme for V2G Connection","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vehicle-to-grid; Computer science; Scheme (mathematics); Computer security; Grid; Electricity; Authentication (law); Smart grid; Computer network; Trusted third party; Confidentiality; Pseudonym; Power (physics); Electric vehicle; Engineering; Electrical engineering","score_opus":0.020678411358372777,"score_gpt":0.26778025571283154,"score_spread":0.24710184435445876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233841865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06290652,0.0010845157,0.9211973,0.0011077045,0.00034032553,0.00069420744,0.0003670542,0.002023833,0.010278558],"genre_scores_gemma":[0.94116306,0.0003750005,0.052416578,0.00026827553,0.00014274199,0.00029606436,0.00031714683,0.00004812246,0.0049730977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953243,0.001306754,0.0004221972,0.00062341447,0.0015467262,0.00077667873],"domain_scores_gemma":[0.9957705,0.00087825273,0.00062787865,0.0019026444,0.00055731204,0.0002634035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018703974,0.0008874641,0.0013451639,0.0012704403,0.0024139301,0.0022922189,0.0021075206,0.0020586445,0.0032287391],"category_scores_gemma":[0.004528924,0.00041038683,0.0011613866,0.0016286582,0.0016026831,0.006230987,0.006197091,0.002544126,0.0011649221],"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":[0.0030016578,0.0006508209,0.0040842094,0.00086658064,0.00037599402,0.0023325249,0.0021586465,0.10904642,0.10583737,0.4768204,0.016755082,0.2780703],"study_design_scores_gemma":[0.0004362867,0.0007504015,0.0011318413,0.00009800732,0.00020816049,0.0029152331,0.000410275,0.7589746,0.039519954,0.16290191,0.03234939,0.00030390147],"about_ca_topic_score_codex":0.00089406554,"about_ca_topic_score_gemma":0.0005168535,"teacher_disagreement_score":0.0032287391,"about_ca_system_score_codex":0.0014198025,"about_ca_system_score_gemma":0.0019120997,"threshold_uncertainty_score":0.010801256},"labels":[],"label_agreement":null},{"id":"W4234495428","doi":"10.32920/ryerson.14665101.v1","title":"Demand side management by PHEV charging scheduling in residential areas","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electricity; Scheduling (production processes); Smart grid; Environmental economics; Demand side; Energy management; Computer science; Demand response; Automotive engineering; Engineering; Operations management; Electrical engineering; Economics; Energy (signal processing)","score_opus":0.00482139963137501,"score_gpt":0.20210578885463149,"score_spread":0.19728438922325647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234495428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3134509,0.0002864432,0.6769331,0.00026549923,0.000056270896,0.00007965175,0.00017316118,0.00034570543,0.008409196],"genre_scores_gemma":[0.9915127,0.00003284149,0.0076148086,0.000012561481,0.000007439763,0.000009450856,0.000029750623,0.00001569185,0.00076473353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969923,0.000112916074,0.000010262576,0.000052487667,0.0000447608,0.00008034615],"domain_scores_gemma":[0.99971,0.00012959272,0.00003696902,0.000026670765,0.000058118796,0.000038573064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044596705,0.00040663782,0.00049837126,0.00017459244,0.00031057524,0.00063568546,0.00062401546,0.00039156948,0.0014903012],"category_scores_gemma":[0.0007556252,0.00018871177,0.00024927245,0.0004121356,0.0002359301,0.00049539213,0.00044275753,0.00031992016,0.0001589789],"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":[0.00016812202,0.000064010565,0.0013016148,0.00005310307,0.000021428383,0.000111759226,0.000060669325,0.9564272,0.004716644,0.0033913103,0.0009050223,0.03277907],"study_design_scores_gemma":[0.0000037276538,0.000025309611,0.00032227315,0.0000011669866,0.0000039722245,0.000016128415,0.000034346933,0.997097,0.0008113317,0.0013686842,0.0003133505,0.0000027225583],"about_ca_topic_score_codex":0.0036404447,"about_ca_topic_score_gemma":0.0038705359,"teacher_disagreement_score":0.0036404447,"about_ca_system_score_codex":0.00056863145,"about_ca_system_score_gemma":0.00046028508,"threshold_uncertainty_score":0.0072385073},"labels":[],"label_agreement":null},{"id":"W4234569161","doi":"10.1016/s1464-2859(19)30340-2","title":"Palcan, Ideanomics for EV fast-charging using methanol-to-hydrogen","year":2019,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Engineering; Corporation; New energy; Methanol; Electrical engineering; Hydrogen fuel; Hydrogen; Automotive engineering; Energy (signal processing); Telecommunications; Mechanical engineering; Business; Chemistry; Fuel cells; Physics; Power (physics); Chemical engineering; Finance","score_opus":0.00697191676799573,"score_gpt":0.1992288657445107,"score_spread":0.192256948976515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234569161","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060582362,0.010329845,0.09883438,0.011670471,0.004326261,0.0012250365,0.004824958,0.022270136,0.78593653],"genre_scores_gemma":[0.2992033,0.006625444,0.06191728,0.0020488705,0.0003447685,0.00047278058,0.006345486,0.0019359505,0.6211062],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996132,0.0000324421,0.000008651965,0.0000510199,0.00024591616,0.000048680788],"domain_scores_gemma":[0.9995284,0.000037499398,0.000014504937,0.000032049495,0.00028931108,0.000098178694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000725706,0.0007388347,0.00024263552,0.0008155478,0.0008819309,0.0011942772,0.0008420516,0.00079386076,0.028042901],"category_scores_gemma":[0.00061274145,0.00023331754,0.00029053455,0.0006690456,0.00044851543,0.0017832137,0.0007277608,0.0015431672,0.007697508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010676977,0.00044066453,0.0018739094,0.00058751594,0.00004450617,0.00058664096,0.00032367618,0.0028704645,0.08504453,0.042292904,0.47497195,0.38989547],"study_design_scores_gemma":[0.00026109195,0.00072679255,0.0013082414,0.00005450554,0.00004822995,0.0004351132,0.000191253,0.00826046,0.06590749,0.0026152143,0.9201519,0.00003954418],"about_ca_topic_score_codex":0.007888916,"about_ca_topic_score_gemma":0.012673848,"teacher_disagreement_score":0.028042901,"about_ca_system_score_codex":0.0014798836,"about_ca_system_score_gemma":0.0028495628,"threshold_uncertainty_score":0.09381288},"labels":[],"label_agreement":null},{"id":"W4236040061","doi":"10.2139/ssrn.3957824","title":"Global Optimization of a Hybrid Waste Tire and Natural Gas Feedstock Polygeneration System","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Raw material; Waste management; Natural gas; Environmental science; Process engineering; Engineering; Chemistry","score_opus":0.0017791551585046347,"score_gpt":0.1707766380422325,"score_spread":0.16899748288372787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236040061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6665943,0.0008344058,0.2917841,0.0005710735,0.000111637564,0.00015476624,0.00051902083,0.0005317843,0.038898844],"genre_scores_gemma":[0.98570454,0.00010017245,0.006856492,0.00003505632,0.000007402603,0.00007293792,0.00009672154,0.000023376742,0.0071032466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984276,0.000042177056,0.0000048437214,0.00003303671,0.00003103334,0.00004612684],"domain_scores_gemma":[0.9998086,0.00009785721,0.00002178402,0.000011007414,0.000040204704,0.000020519423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913009,0.0008807091,0.0014728941,0.0005223229,0.00069449906,0.0013981028,0.0006634598,0.0016931196,0.0038830598],"category_scores_gemma":[0.00048309463,0.00048759862,0.0006509213,0.00065313576,0.000607896,0.000536721,0.0008943625,0.00055170327,0.00031196023],"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":[0.00005753929,0.000020000662,0.0001356386,0.000023302004,0.000012720739,0.000038689523,0.0000069821594,0.9959067,0.0009365187,0.00035342178,0.0001125435,0.0023959612],"study_design_scores_gemma":[0.000020076955,0.00008102882,0.00018104224,0.000002680757,0.000010864948,0.000006587555,0.000013338496,0.99873835,0.0005169219,0.0002288833,0.00019607489,0.0000042190195],"about_ca_topic_score_codex":0.013553516,"about_ca_topic_score_gemma":0.0109211635,"teacher_disagreement_score":0.013553516,"about_ca_system_score_codex":0.00085476536,"about_ca_system_score_gemma":0.0011941162,"threshold_uncertainty_score":0.026949286},"labels":[],"label_agreement":null},{"id":"W4236544481","doi":"10.22215/etd/2017-11854","title":"Mean Field Games with Poisson Point Processes and Impulse Control","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Impulse control; Mathematics; Poisson distribution; Impulse (physics); Markov process; Applied mathematics; Compound Poisson process; Impulse response; Stationary point; Statistical physics; Stationary distribution; Mean field theory; Field (mathematics); Mathematical optimization; Mathematical analysis; Markov chain; Poisson process; Statistics; Physics; Pure mathematics; Classical mechanics","score_opus":0.002313790325751521,"score_gpt":0.1982735343875496,"score_spread":0.19595974406179809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236544481","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17338844,0.0015238129,0.7636251,0.0031072544,0.00045601823,0.00012101842,0.00018202847,0.00013136312,0.05746499],"genre_scores_gemma":[0.9421731,0.0013532522,0.02454204,0.0003280838,0.00033132292,0.0001772724,0.00010164124,0.00003578016,0.030957436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882466,0.0005135664,0.000040435014,0.00016383649,0.0002597017,0.00019774972],"domain_scores_gemma":[0.99748284,0.0018292808,0.00025380388,0.00006822341,0.00020429086,0.00016162603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507307,0.00088136346,0.0011717064,0.0007157043,0.00055143307,0.0020185038,0.0013312408,0.0018483073,0.003668735],"category_scores_gemma":[0.0054952363,0.0004724237,0.0010746205,0.00067204726,0.0021143015,0.0019938508,0.0011850699,0.0017797871,0.0003309377],"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":[0.000043344284,0.000051978033,0.00040108457,0.00004881227,0.00003611865,0.00016629149,0.00009175477,0.27070835,0.00057273504,0.7223377,0.001144144,0.0043975916],"study_design_scores_gemma":[0.0000382213,0.00004477694,0.00020218277,0.00001710512,0.000013475078,0.000046951976,0.000044224813,0.74439216,0.00014854335,0.25378418,0.001247824,0.000020331205],"about_ca_topic_score_codex":0.006619951,"about_ca_topic_score_gemma":0.0030096236,"teacher_disagreement_score":0.006619951,"about_ca_system_score_codex":0.002081536,"about_ca_system_score_gemma":0.0017570183,"threshold_uncertainty_score":0.015102744},"labels":[],"label_agreement":null},{"id":"W4237184592","doi":"10.3390/wevj8040923","title":"The Electric Circuit Business Model","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Download; Electric light; Order (exchange); Electrical engineering; Software deployment; Style (visual arts); Electrification; Telecommunications; Engineering; Computer science; Business; Geography; Finance; Operating system; Archaeology","score_opus":0.006746737331798765,"score_gpt":0.18650144615579595,"score_spread":0.1797547088239972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237184592","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003342079,0.0012043474,0.012737386,0.018242251,0.0007877256,0.000051086132,0.0002051764,0.00030054263,0.96312946],"genre_scores_gemma":[0.31992665,0.005898126,0.009338926,0.013870114,0.0010637986,0.00018419202,0.00081167783,0.00028110138,0.6486254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980616,0.0003200086,0.00004474496,0.000292308,0.0009565553,0.0003247682],"domain_scores_gemma":[0.9984458,0.00023381974,0.00006584141,0.00017145458,0.00060486206,0.0004781883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101533,0.00055062,0.00017967456,0.0010306746,0.0019197728,0.009752213,0.0010821214,0.0029084934,0.027127095],"category_scores_gemma":[0.003260715,0.00026745402,0.00037165426,0.0018084223,0.0024846464,0.008139339,0.0028203214,0.0034646485,0.009711062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001113415,0.000025326748,0.00028698624,0.000021580265,0.0000023341163,0.00008666461,0.00010427342,0.0003987114,0.00015956732,0.90323627,0.07221816,0.023449069],"study_design_scores_gemma":[0.000010241999,0.00002278506,0.00024877596,0.00008299086,0.000003360399,0.00021218082,0.00023828774,0.0012547415,0.00030077586,0.098245874,0.89936554,0.000014505431],"about_ca_topic_score_codex":0.007988909,"about_ca_topic_score_gemma":0.0055747814,"teacher_disagreement_score":0.027127095,"about_ca_system_score_codex":0.004654951,"about_ca_system_score_gemma":0.00512643,"threshold_uncertainty_score":0.090749145},"labels":[],"label_agreement":null},{"id":"W4240105562","doi":"10.1007/978-3-319-39984-3_6","title":"Conclusion","year":2016,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process management; Work (physics); Focus (optics); Management science; Risk analysis (engineering); Computer science; Business; Engineering ethics; Engineering; Mechanical engineering","score_opus":0.0030640143205115833,"score_gpt":0.15724772121299807,"score_spread":0.15418370689248648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240105562","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023026513,0.0034684164,0.006140081,0.04594925,0.016123576,0.00011571231,0.0016896225,0.0006724079,0.9235384],"genre_scores_gemma":[0.027170103,0.0038804621,0.003585623,0.029844945,0.0034746705,0.00012449843,0.0024079108,0.0005620938,0.9289497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847263,0.0002202077,0.000044006694,0.0003192754,0.00070528046,0.00023864304],"domain_scores_gemma":[0.9973652,0.00030995274,0.00007818648,0.00029107925,0.0015051456,0.00045047526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001835411,0.0006129275,0.00033984584,0.00095669396,0.00187583,0.0055058636,0.0013823649,0.0017894988,0.29547983],"category_scores_gemma":[0.0061283056,0.000171173,0.0006522267,0.0007452562,0.00087598927,0.0029152595,0.0020930446,0.002301807,0.13171977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113282316,0.000051632618,0.0008048374,0.00029064782,0.000013280222,0.00013929472,0.00045159322,0.00019566056,0.00071146176,0.073757425,0.7526638,0.17080718],"study_design_scores_gemma":[0.000007416469,0.000009807308,0.00044590217,0.00014368314,0.0000062595923,0.000060730865,0.00039430143,0.00004300684,0.00036745783,0.009286041,0.9892307,0.000004656128],"about_ca_topic_score_codex":0.0066433875,"about_ca_topic_score_gemma":0.0076209283,"teacher_disagreement_score":0.70452017,"about_ca_system_score_codex":0.0029986694,"about_ca_system_score_gemma":0.003840407,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4240216108","doi":"10.26868/25222708.2019.210450","title":"Energy Efficiency and Grid Flexibility through Building To Vehicle To Buildings Approach: Modelling and Simulation","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Flexibility (engineering); Grid; Computer science; Efficient energy use; Architectural engineering; Automotive engineering; Environmental science; Engineering; Electrical engineering; Geology","score_opus":0.03463600476888423,"score_gpt":0.2582739917912832,"score_spread":0.22363798702239895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240216108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27152148,0.0012428182,0.5840662,0.0008575924,0.0001840256,0.00026390993,0.0021317592,0.0013459943,0.13838634],"genre_scores_gemma":[0.9567273,0.0007862782,0.02933596,0.00006249312,0.0000258196,0.00025438768,0.0006347522,0.00014618205,0.012026857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998573,0.000051064297,0.000005766002,0.00001677307,0.000038153732,0.00003101888],"domain_scores_gemma":[0.99981254,0.00009370492,0.000017955725,0.000022993205,0.00003530044,0.000017517648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025032109,0.00047480993,0.0005864422,0.00047237848,0.00035669561,0.001074253,0.00086586055,0.0011366999,0.004683105],"category_scores_gemma":[0.0005873546,0.00030387394,0.0008306669,0.0008362915,0.00041548724,0.00069211476,0.00068031606,0.00061627047,0.00055640645],"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":[0.000007807617,0.00001157739,0.00025183486,0.000015036062,0.0000070972246,0.00001822858,0.000015965239,0.9941043,0.0002463963,0.0033726126,0.00017677479,0.0017724265],"study_design_scores_gemma":[0.000004350465,0.000007253794,0.00012095689,0.0000046127097,0.0000033998629,0.0000071278623,0.0000138908,0.99723864,0.00016543429,0.001208072,0.0012229092,0.0000033384879],"about_ca_topic_score_codex":0.020148184,"about_ca_topic_score_gemma":0.012491135,"teacher_disagreement_score":0.020148184,"about_ca_system_score_codex":0.00073384447,"about_ca_system_score_gemma":0.0008686756,"threshold_uncertainty_score":0.04006183},"labels":[],"label_agreement":null},{"id":"W4241059514","doi":"10.32920/ryerson.14665173","title":"Futuristic model of electric vehicle charging queues","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Queueing theory; Queue; Charging station; Battery (electricity); Downtown; Electric vehicle; Automotive engineering; Range (aeronautics); Driving range; Computer science; Battery capacity; Transport engineering; Environmental science; Simulation; Engineering; Computer network; Geography","score_opus":0.00828906644821842,"score_gpt":0.1988633347456421,"score_spread":0.1905742682974237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241059514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18291901,0.0013945677,0.66449827,0.0044788653,0.0005695955,0.00026844323,0.0032621364,0.00072298315,0.14188619],"genre_scores_gemma":[0.8686707,0.0009079428,0.015601074,0.00036609243,0.00016031893,0.0003511231,0.00075672695,0.00011274457,0.11307321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936205,0.00017897616,0.000026075828,0.00015101848,0.000092052534,0.0001897807],"domain_scores_gemma":[0.99883896,0.0005008123,0.000162934,0.00005203796,0.00031088715,0.00013442614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786452,0.0012166735,0.0010730318,0.0009903489,0.0010705803,0.002952655,0.0031227532,0.0029358827,0.01566687],"category_scores_gemma":[0.0028060246,0.00073263946,0.0012144886,0.0012486486,0.0015897653,0.0018483767,0.0015805186,0.0017387061,0.0017212214],"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":[0.0000874135,0.000052071744,0.00082596723,0.00005756905,0.000025593177,0.00028680978,0.00017198209,0.8798299,0.00082274945,0.112944946,0.0021606956,0.0027343787],"study_design_scores_gemma":[0.000015221134,0.000016395446,0.00013905315,0.00000603683,0.000009666821,0.000019757586,0.000040694373,0.9905862,0.000058357746,0.008446542,0.000653515,0.000008547186],"about_ca_topic_score_codex":0.038630538,"about_ca_topic_score_gemma":0.018442232,"teacher_disagreement_score":0.038630538,"about_ca_system_score_codex":0.0036241298,"about_ca_system_score_gemma":0.0022375667,"threshold_uncertainty_score":0.07681137},"labels":[],"label_agreement":null},{"id":"W4241819170","doi":"10.1115/1.4052544","title":"Assessment of Renewable Natural Gas Refueling Stations for Heavy-Duty Vehicles","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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":"Compressed natural gas; Truck; Diesel fuel; Gasoline; Heavy duty; Renewable energy; Automotive engineering; Natural gas; Environmental economics; Transport engineering; Environmental science; Computer science; Engineering; Economics; Waste management","score_opus":0.004669293447127538,"score_gpt":0.23073902721930337,"score_spread":0.22606973377217582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241819170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355364,0.000056965375,0.0040750983,0.00003918654,0.000006016682,0.000051091196,0.00027536057,0.000029307826,0.0019132433],"genre_scores_gemma":[0.99839145,0.000034830915,0.0010063681,0.000002248856,9.2034713e-7,0.000010620215,0.00019880106,0.000004182459,0.00035049368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99962366,0.000083443956,0.000013791231,0.00006718941,0.0001605041,0.000051351883],"domain_scores_gemma":[0.9993556,0.0002822428,0.00006292777,0.00004273556,0.00020210746,0.000054475346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900253,0.0006978675,0.00039296635,0.00096210255,0.00034790006,0.0010814386,0.0010084972,0.0008111908,0.0014768576],"category_scores_gemma":[0.0010452146,0.00031854998,0.00077168585,0.0006182848,0.00024227257,0.0012742461,0.00041116102,0.0004544818,0.00024930073],"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":[0.00027350796,0.00028628611,0.04827627,0.000082111495,0.000047760197,0.00030327108,0.000025866964,0.9263424,0.009476807,0.00075421884,0.00025363616,0.013877786],"study_design_scores_gemma":[0.000017087996,0.0005189314,0.017057575,0.0000097512775,0.00003221098,0.000029819594,0.00019384587,0.974081,0.0070884274,0.00045500684,0.0005008256,0.000015527965],"about_ca_topic_score_codex":0.025231281,"about_ca_topic_score_gemma":0.021756787,"teacher_disagreement_score":0.025231281,"about_ca_system_score_codex":0.002545989,"about_ca_system_score_gemma":0.0007693384,"threshold_uncertainty_score":0.050168812},"labels":[],"label_agreement":null},{"id":"W4241871169","doi":"10.32920/ryerson.14665101","title":"Demand side management by PHEV charging scheduling in residential areas","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electricity; Scheduling (production processes); Demand side; Smart grid; Energy management; Environmental economics; Computer science; Automotive engineering; Engineering; Operations management; Electrical engineering; Economics; Energy (signal processing)","score_opus":0.00482139963137501,"score_gpt":0.20210578885463149,"score_spread":0.19728438922325647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241871169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3134509,0.0002864432,0.6769331,0.00026549923,0.000056270896,0.00007965175,0.00017316118,0.00034570543,0.008409196],"genre_scores_gemma":[0.9915127,0.00003284149,0.0076148086,0.000012561481,0.000007439763,0.000009450856,0.000029750623,0.00001569185,0.00076473353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969923,0.000112916074,0.000010262576,0.000052487667,0.0000447608,0.00008034615],"domain_scores_gemma":[0.99971,0.00012959272,0.00003696902,0.000026670765,0.000058118796,0.000038573064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044596705,0.00040663782,0.00049837126,0.00017459244,0.00031057524,0.00063568546,0.00062401546,0.00039156948,0.0014903012],"category_scores_gemma":[0.0007556252,0.00018871177,0.00024927245,0.0004121356,0.0002359301,0.00049539213,0.00044275753,0.00031992016,0.0001589789],"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":[0.00016812202,0.000064010565,0.0013016148,0.00005310307,0.000021428383,0.000111759226,0.000060669325,0.9564272,0.004716644,0.0033913103,0.0009050223,0.03277907],"study_design_scores_gemma":[0.0000037276538,0.000025309611,0.00032227315,0.0000011669866,0.0000039722245,0.000016128415,0.000034346933,0.997097,0.0008113317,0.0013686842,0.0003133505,0.0000027225583],"about_ca_topic_score_codex":0.0036404447,"about_ca_topic_score_gemma":0.0038705359,"teacher_disagreement_score":0.0036404447,"about_ca_system_score_codex":0.00056863145,"about_ca_system_score_gemma":0.00046028508,"threshold_uncertainty_score":0.0072385073},"labels":[],"label_agreement":null},{"id":"W4243475031","doi":"10.32920/ryerson.14646972.v1","title":"Scheduling of electrical vehicle charging for a charging facility with single charger or multiple chargers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Charging station; MATLAB; Scheduling (production processes); Electric vehicle; Computer science; Toolbox; Nonlinear system; Nonlinear programming; Mathematical optimization; Optimization problem; Automotive engineering; Electrical engineering; Engineering; Mathematics; Algorithm","score_opus":0.017782515001242713,"score_gpt":0.21920891576014534,"score_spread":0.2014264007589026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243475031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3564456,0.00045666113,0.6287796,0.00038608065,0.00014037374,0.00027154118,0.00026329895,0.0003814757,0.012875395],"genre_scores_gemma":[0.9581639,0.00012439984,0.038165264,0.000019169414,0.000022698949,0.000059001144,0.00008545947,0.000038300368,0.0033217946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999553,0.00015732506,0.000014515923,0.00008901082,0.000059558883,0.00012652486],"domain_scores_gemma":[0.99918133,0.00047148197,0.000093385795,0.00004635775,0.000114535374,0.00009278746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047887,0.0005792825,0.00079053314,0.00029674,0.00045670537,0.00101631,0.0008467202,0.0005934052,0.0037319846],"category_scores_gemma":[0.001977092,0.00037921534,0.00053790637,0.0004505893,0.00040047916,0.000569944,0.00061060576,0.0005953543,0.0002846075],"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":[0.00018137744,0.000041282023,0.0004388849,0.00006119082,0.000015047371,0.00005297432,0.000030493673,0.9805385,0.0012905378,0.0032615857,0.0005454554,0.013542635],"study_design_scores_gemma":[0.000010423279,0.0000418156,0.00012885763,0.0000021915678,0.0000049174937,0.000008380237,0.00002206762,0.99831355,0.00047460053,0.0007173609,0.0002724799,0.0000032298465],"about_ca_topic_score_codex":0.009297259,"about_ca_topic_score_gemma":0.007258475,"teacher_disagreement_score":0.009297259,"about_ca_system_score_codex":0.0013216302,"about_ca_system_score_gemma":0.0017664809,"threshold_uncertainty_score":0.018486261},"labels":[],"label_agreement":null},{"id":"W4244810154","doi":"10.1109/tsg.2016.2550219","title":"Queuing Analysis Based PEV Load Modeling Considering Battery Charging Behavior and Their Impact on Distribution System Operation","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":98,"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 Waterloo","funders":"","keywords":"Queueing theory; Battery (electricity); Poisson distribution; Electric vehicle; State of charge; Automotive engineering; Charging station; Computer science; Simulation; Power (physics); Engineering; Mathematics; Statistics","score_opus":0.008916398407472116,"score_gpt":0.20767719429928788,"score_spread":0.19876079589181578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244810154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0784752,0.0002634626,0.91461456,0.00027224215,0.000099578,0.00010332595,0.00021771128,0.00036137408,0.0055925203],"genre_scores_gemma":[0.97955406,0.0002837067,0.015107133,0.000046353704,0.00004678601,0.00008391418,0.0001233407,0.000054762746,0.004699915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992605,0.00020659177,0.000038164715,0.00013866053,0.0001977381,0.00015836014],"domain_scores_gemma":[0.9990657,0.0005154511,0.00012442871,0.000044933175,0.00021217634,0.000037247995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009028508,0.0008990754,0.000754921,0.00062809314,0.0006846687,0.0011472409,0.0016450031,0.0007819389,0.002087696],"category_scores_gemma":[0.0021583121,0.0005641758,0.00086351327,0.0006960648,0.0005559699,0.0014345872,0.0007391949,0.0009212607,0.0002310176],"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":[0.0000114803115,0.000013913968,0.00031339063,0.000008090683,0.000007819497,0.000023147071,0.00001552532,0.9945446,0.00043538335,0.0026696953,0.00010394357,0.001853036],"study_design_scores_gemma":[9.350774e-7,0.000004554112,0.000057833706,5.744419e-7,0.0000020728392,0.0000023531486,0.000003767654,0.999318,0.00008192764,0.0004594644,0.00006684463,0.0000016956659],"about_ca_topic_score_codex":0.034832552,"about_ca_topic_score_gemma":0.019168332,"teacher_disagreement_score":0.034832552,"about_ca_system_score_codex":0.0021049909,"about_ca_system_score_gemma":0.0022283292,"threshold_uncertainty_score":0.069259584},"labels":[],"label_agreement":null},{"id":"W4245034060","doi":"10.32920/ryerson.14664114.v1","title":"Interrogating Variables Affecting Consumers' EV Purchasing Decision","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Purchasing; Order (exchange); Marketing; Affect (linguistics); Business; Variable (mathematics); Purchasing decision; Variables; Decision tree; Process (computing); Advertising; Operations research; Computer science; Engineering; Psychology; Mathematics","score_opus":0.008151354348899638,"score_gpt":0.22777402814419237,"score_spread":0.21962267379529274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245034060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997758,0.000052073137,0.0006213745,0.00007433171,0.0000024491537,0.000008941177,0.000118766555,0.0000031366674,0.0013609454],"genre_scores_gemma":[0.9991462,0.000040764065,0.000457828,0.000014528473,0.0000022268025,0.000007898986,0.00015389333,0.0000019762915,0.0001746268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934286,0.00031454663,0.00003977788,0.00010161116,0.00011806889,0.00008306297],"domain_scores_gemma":[0.9888285,0.008583997,0.0015401668,0.0002988302,0.00058824243,0.00016028607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017894651,0.00017447228,0.00019257166,0.0008169226,0.0003004648,0.0012927313,0.0002635854,0.00048117407,0.0020974323],"category_scores_gemma":[0.0089128455,0.0001733209,0.0002917759,0.0012376168,0.0005793141,0.0012891098,0.00044352846,0.00057274743,0.00024530935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014451939,0.00013777688,0.97171503,0.00007031574,0.00007129899,0.00024423737,0.008784813,0.0021612074,0.00094361097,0.0014594437,0.00029936517,0.013968508],"study_design_scores_gemma":[0.0000072517373,0.00012511246,0.9646043,0.0000430038,0.00005514514,0.0001707399,0.019556068,0.009699146,0.0012934711,0.0022426606,0.0021643827,0.000038810405],"about_ca_topic_score_codex":0.009327387,"about_ca_topic_score_gemma":0.011018704,"teacher_disagreement_score":0.009327387,"about_ca_system_score_codex":0.000638365,"about_ca_system_score_gemma":0.00046101617,"threshold_uncertainty_score":0.018546164},"labels":[],"label_agreement":null},{"id":"W4246560080","doi":"10.1109/iccps.2016.7479118","title":"Smart Rate Control and Demand Balancing for Electric Vehicle Charging","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Smart grid; Quality of service; Grid; Schedule; Mathematical optimization; Approximation algorithm; Vehicle-to-grid; Peak demand; Electric vehicle; Distributed computing; Power (physics); Computer network; Electricity; Electrical engineering; Algorithm; Engineering; Mathematics","score_opus":0.0027588084987033167,"score_gpt":0.1731376424224148,"score_spread":0.17037883392371148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246560080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036701955,0.0004827938,0.9561358,0.0003117963,0.000125432,0.00007494195,0.00006201634,0.00054811814,0.0055570374],"genre_scores_gemma":[0.93987393,0.00029731574,0.05744761,0.00007591307,0.00006937058,0.00005077245,0.00007207019,0.00006832603,0.002044783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989949,0.00028420385,0.0000519703,0.00020186792,0.0002833019,0.00018376583],"domain_scores_gemma":[0.9987369,0.0006204761,0.0001585928,0.00019815782,0.00020965197,0.00007622345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013683641,0.000801252,0.00072863454,0.0005399531,0.000494685,0.0014046811,0.0013920332,0.0006920116,0.0024829379],"category_scores_gemma":[0.004879984,0.0003250287,0.00043927977,0.0007592881,0.0006998562,0.0016698733,0.0009535476,0.0011637737,0.00051356375],"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":[0.00039905478,0.00013058852,0.00069675886,0.000098236866,0.000021353193,0.000068232664,0.00010128847,0.8681769,0.008527755,0.039126534,0.0018865615,0.08076673],"study_design_scores_gemma":[0.000011959417,0.000028104512,0.00006878475,0.0000026309062,0.0000029834484,0.0000214897,0.000010379894,0.9916291,0.0010780257,0.0065513863,0.00058908266,0.000006087018],"about_ca_topic_score_codex":0.0028866313,"about_ca_topic_score_gemma":0.0019923372,"teacher_disagreement_score":0.0028866313,"about_ca_system_score_codex":0.0012964001,"about_ca_system_score_gemma":0.0009855612,"threshold_uncertainty_score":0.00940609},"labels":[],"label_agreement":null},{"id":"W4246583698","doi":"10.1016/s1464-2859(21)00175-9","title":"Loop eFlow modules for European trucks, Ecubes energy storage","year":2021,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Haulage; Automotive engineering; Engineering; Battery (electricity); Heavy duty; Driving range; Loop (graph theory); Electric vehicle; Range (aeronautics); Waste management; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.004412578131588878,"score_gpt":0.16802004612118074,"score_spread":0.16360746798959186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246583698","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1126092,0.0015466313,0.12798841,0.0019522532,0.0006878819,0.000766019,0.014673316,0.073087804,0.66668856],"genre_scores_gemma":[0.22829413,0.0007385601,0.033252336,0.0008388004,0.00010129815,0.00024172,0.018559715,0.0062949727,0.71167845],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997316,0.000015446583,0.000007164678,0.000037505804,0.00016076304,0.00004751888],"domain_scores_gemma":[0.9996327,0.000025129859,0.000013341734,0.00006979704,0.00021844685,0.00004050835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004161655,0.00080550194,0.0002426938,0.0011450796,0.000734952,0.0009010728,0.00082130136,0.00076478015,0.104558416],"category_scores_gemma":[0.0005678099,0.00028415388,0.00045178906,0.0006063398,0.00025596324,0.0015230058,0.0010160538,0.00066338055,0.028678466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010443603,0.00046259223,0.0041656415,0.00039734767,0.00003642729,0.00037679635,0.0005089359,0.0027816773,0.13383903,0.013903984,0.3073006,0.53518265],"study_design_scores_gemma":[0.00008951811,0.00021403209,0.0057488536,0.000047374702,0.000018917062,0.000275434,0.00009297657,0.0020713853,0.042786796,0.0011843225,0.94743687,0.000033469616],"about_ca_topic_score_codex":0.0084174415,"about_ca_topic_score_gemma":0.011554163,"teacher_disagreement_score":0.104558416,"about_ca_system_score_codex":0.0008092792,"about_ca_system_score_gemma":0.0007778473,"threshold_uncertainty_score":0.3497827},"labels":[],"label_agreement":null},{"id":"W4247729551","doi":"10.22215/timreview637","title":"Real-Time Mobile Communication of Power Requirements for Electric Vehicles","year":2012,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electric vehicle; Power grid; Power demand; Power (physics); Electric power; Telecommunications; Grid; Automotive engineering; Computer science; Electrical engineering; Business; Engineering; Power consumption","score_opus":0.011406268835925562,"score_gpt":0.2676875629762781,"score_spread":0.25628129414035256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247729551","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08749392,0.49062648,0.10771709,0.016163308,0.0064134235,0.00012955656,0.0015728952,0.0004743877,0.2894089],"genre_scores_gemma":[0.69844174,0.19668919,0.013548637,0.0015313651,0.0049542873,0.000079408484,0.0008575161,0.00006923853,0.083828546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997583,0.000053294247,0.000017278382,0.000042006235,0.00010715614,0.00002198935],"domain_scores_gemma":[0.9990821,0.00048927334,0.000109232366,0.000022844175,0.00028832903,0.00000823226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373567,0.0001965245,0.00012744161,0.0004774616,0.000082251056,0.00065446296,0.00027770537,0.0003508556,0.007799864],"category_scores_gemma":[0.0018399503,0.000070263115,0.00010872986,0.0007425538,0.00013020093,0.0006938564,0.00014395165,0.00025231563,0.0014686952],"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":[0.00022500643,0.00002754638,0.0025732054,0.0022146523,0.00004729246,0.00039327654,0.00030418544,0.0057116416,0.0105497185,0.038604118,0.045976102,0.89337325],"study_design_scores_gemma":[0.000021769481,0.00055616617,0.012998061,0.0012109234,0.000102239996,0.0013062754,0.00038630166,0.013983577,0.018954033,0.00782553,0.94259447,0.00006062212],"about_ca_topic_score_codex":0.001213778,"about_ca_topic_score_gemma":0.0013851732,"teacher_disagreement_score":0.007799864,"about_ca_system_score_codex":0.00033890674,"about_ca_system_score_gemma":0.00018193015,"threshold_uncertainty_score":0.026093125},"labels":[],"label_agreement":null},{"id":"W4247991177","doi":"10.1016/s1464-2859(21)00049-3","title":"SFC links with Axsol, wins mine site order","year":2021,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Turnkey; Engineering; Order (exchange); German; Telecommunications; Power (physics); Electrical engineering; Business; Geography; Physics; Finance","score_opus":0.003007865566759734,"score_gpt":0.16055925716158884,"score_spread":0.15755139159482912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247991177","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000776586,0.00035605443,0.00049377716,0.0017043183,0.0010792676,0.00011726401,0.0046055038,0.0021046847,0.98876256],"genre_scores_gemma":[0.0020604127,0.00013342321,0.00014298286,0.00021589705,0.00013802029,0.00002048001,0.0027189408,0.0003180207,0.99425197],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986237,0.000044441036,0.00004551758,0.00018508891,0.00093053194,0.00017064674],"domain_scores_gemma":[0.9972836,0.000167617,0.000104899045,0.00035446472,0.001548693,0.000540698],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006841688,0.00090429897,0.00061358826,0.0027443394,0.0027380355,0.003526269,0.0009822466,0.0021997152,0.82888776],"category_scores_gemma":[0.0028857477,0.0004813062,0.00031170962,0.0023691661,0.0004313165,0.0017142858,0.001491714,0.0013780285,0.6843083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003148347,0.00003763843,0.00016642036,0.000033600896,0.0000014933952,0.00005096726,0.000023003196,0.000029416935,0.00029144075,0.0022531636,0.9676308,0.029450634],"study_design_scores_gemma":[0.000007341151,0.000012508291,0.00020608146,0.000011988118,8.7848287e-7,0.00003449025,0.000016876382,0.000055268334,0.00017735371,0.00021541059,0.9992593,0.0000024549263],"about_ca_topic_score_codex":0.015947497,"about_ca_topic_score_gemma":0.030785173,"teacher_disagreement_score":0.82888776,"about_ca_system_score_codex":0.0018355541,"about_ca_system_score_gemma":0.0038439003,"threshold_uncertainty_score":0.24407083},"labels":[],"label_agreement":null},{"id":"W4248050154","doi":"10.1016/s1464-2859(04)00148-8","title":"Hydrogenics in FCV deal with Purolator, wins US Navy contract","year":2004,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Navy; Engineering; Greenhouse gas; Aeronautics; Transport engineering; Operations research; Political science; Ecology; Law","score_opus":0.002507021956049402,"score_gpt":0.15872024494373704,"score_spread":0.15621322298768764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248050154","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003362778,0.002258639,0.0014165158,0.0152795315,0.0016161636,0.000079170575,0.0010240651,0.00052398146,0.9744392],"genre_scores_gemma":[0.011969837,0.0005500131,0.00043493853,0.000764032,0.00013054727,0.00001848174,0.00045695525,0.0001208865,0.98555434],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989008,0.000037320493,0.000013391538,0.000120840006,0.00072174065,0.0002060201],"domain_scores_gemma":[0.99904567,0.00006917138,0.000024924859,0.00007051467,0.00052919355,0.00026058787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010543213,0.00047720384,0.00026537446,0.00079827226,0.0042713443,0.0041265227,0.0007765375,0.0027431897,0.17703971],"category_scores_gemma":[0.0016960972,0.0003641557,0.00023623196,0.0007074158,0.00062498084,0.0018939656,0.0011349093,0.002398032,0.032723393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007688283,0.00003891932,0.00066923595,0.000025765714,0.0000043910977,0.00017410735,0.00011743978,0.0003392105,0.00068250444,0.031986404,0.9131353,0.052749757],"study_design_scores_gemma":[0.0000047807534,0.000009536068,0.00035836443,0.000010977874,0.0000012455248,0.000038962426,0.00007874666,0.00016392129,0.0003660473,0.0005446947,0.9984195,0.0000031960476],"about_ca_topic_score_codex":0.18899636,"about_ca_topic_score_gemma":0.2441453,"teacher_disagreement_score":0.18899636,"about_ca_system_score_codex":0.0062414245,"about_ca_system_score_gemma":0.011367173,"threshold_uncertainty_score":0.59225684},"labels":[],"label_agreement":null},{"id":"W4249623644","doi":"10.32920/ryerson.14661024","title":"Autonomous PEV Charging Scheduling Using Deep-Q Network and Dyna-Q Reinforcement Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reinforcement learning; Q-learning; Markov decision process; Computer science; Scheduling (production processes); Mathematical optimization; Set (abstract data type); Markov chain; Artificial intelligence; State space; Artificial neural network; Markov process; Machine learning; Mathematics","score_opus":0.008745657377777613,"score_gpt":0.2106575166761389,"score_spread":0.2019118592983613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249623644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06659934,0.00037799057,0.92677605,0.00047969824,0.000105517414,0.000067620334,0.000061074265,0.00076202705,0.004770608],"genre_scores_gemma":[0.9583083,0.000087511784,0.039104957,0.00012394073,0.000023071098,0.00007253971,0.00006087526,0.000029699684,0.0021891638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997725,0.00006065487,0.0000113931255,0.000056527173,0.000042111154,0.00005684125],"domain_scores_gemma":[0.9994517,0.0002800255,0.000069232556,0.000031244595,0.00011138921,0.000056349527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071923,0.0006260701,0.00082892907,0.0002641444,0.00037232589,0.0006606118,0.0012508811,0.00078389276,0.0015797677],"category_scores_gemma":[0.0013921851,0.00049817224,0.00042382756,0.00027888422,0.0005950508,0.0007245661,0.0008533664,0.0010914291,0.0001878327],"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":[0.00003762934,0.000045540623,0.00045029743,0.000018879944,0.000016513048,0.000038453312,0.000021387516,0.977007,0.00054208504,0.0020282296,0.0004127231,0.0193812],"study_design_scores_gemma":[0.000002598473,0.000005659831,0.000019250023,5.8914276e-7,9.2989734e-7,0.0000015468232,0.0000013208088,0.9994981,0.000047827543,0.00037387587,0.00004743001,8.1075996e-7],"about_ca_topic_score_codex":0.015617788,"about_ca_topic_score_gemma":0.011438127,"teacher_disagreement_score":0.015617788,"about_ca_system_score_codex":0.0010633224,"about_ca_system_score_gemma":0.0015619359,"threshold_uncertainty_score":0.031053782},"labels":[],"label_agreement":null},{"id":"W4250024718","doi":"10.32920/ryerson.14664837","title":"Evaluating perception towards electric vehicles in the Greater Toronto and Hamilton Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"","keywords":"Incentive; Greenhouse gas; Electricity; Sustainable transport; Electric vehicle; Business; Environmental economics; Climate change; Mains electricity; Alternative fuel vehicle; Public transport; Green vehicle; Natural resource economics; Sustainability; Marketing; Fuel efficiency; Diesel fuel; Alternative fuels; Economics; Transport engineering; Engineering","score_opus":0.025114687828667517,"score_gpt":0.2686187867171173,"score_spread":0.2435040988884498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250024718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975212,0.00001895279,0.000022896294,0.00007197205,0.0000025927745,0.000021291133,0.00008256186,0.0000010162287,0.002257471],"genre_scores_gemma":[0.99702746,0.000072881005,0.0000699348,0.00003783935,0.0000025431639,0.000017187987,0.00010206593,0.000001618713,0.0026685714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993351,0.00013667603,0.000022091968,0.000057509256,0.00025763392,0.0001909642],"domain_scores_gemma":[0.9977527,0.00029615258,0.00028127298,0.000053807675,0.00090352824,0.0007125032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058384886,0.00019513883,0.00014193171,0.0005954045,0.001864967,0.0015014933,0.00038669657,0.00031217773,0.0042468063],"category_scores_gemma":[0.0022086136,0.00017084264,0.00022723588,0.0009017887,0.0011534672,0.0004092915,0.0008935022,0.0003520563,0.00032742537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030663534,0.000305401,0.87705934,0.00009652124,0.000033375876,0.00088516803,0.10030162,0.0004935705,0.0029478741,0.00070488406,0.0026831303,0.014182387],"study_design_scores_gemma":[0.000009079267,0.00017303927,0.88053745,0.000037920658,0.000011628164,0.00006838698,0.11401048,0.00047368492,0.00028713653,0.000037430542,0.0043337103,0.000020017975],"about_ca_topic_score_codex":0.9417058,"about_ca_topic_score_gemma":0.97739637,"teacher_disagreement_score":0.058294177,"about_ca_system_score_codex":0.015853282,"about_ca_system_score_gemma":0.006758494,"threshold_uncertainty_score":0.11727494},"labels":[],"label_agreement":null},{"id":"W4250656384","doi":"10.1504/ijatm.2016.080784","title":"The electric vehicle landscape in China: between institutional and market forces","year":2016,"lang":"en","type":"article","venue":"International Journal of Automotive Technology and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Automotive industry; Typology; Electric vehicle; Industrial organization; Business; Product (mathematics); Market analysis; Quarter (Canadian coin); Software deployment; Marketing; Engineering; Political science","score_opus":0.002221558601132548,"score_gpt":0.19683936374847066,"score_spread":0.19461780514733812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250656384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008393,0.0003464106,0.00020730306,0.0007288065,0.00000557374,0.00001644018,0.00022411045,0.000013396375,0.008374081],"genre_scores_gemma":[0.9989023,0.00014270018,0.000039118167,0.000038197275,0.000003698718,0.0000038330736,0.000098361255,0.0000020067473,0.0007697463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996043,0.000050273793,0.000016552662,0.000073989155,0.00009408627,0.00016081432],"domain_scores_gemma":[0.99934417,0.00013875628,0.00021067282,0.00004401261,0.00012159481,0.00014081295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048375013,0.00018001375,0.00026475583,0.0018450612,0.0011003546,0.001984755,0.00046784015,0.00030418352,0.0038169592],"category_scores_gemma":[0.00084489357,0.00013549495,0.0002529783,0.0028117986,0.0014057852,0.0013471787,0.0011833298,0.00031224944,0.00017650278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011072092,0.0001697516,0.8812059,0.00015740532,0.0001186258,0.0015244656,0.006703563,0.003789099,0.0018978552,0.049391773,0.004431566,0.050499342],"study_design_scores_gemma":[0.000009276511,0.00005124161,0.9741698,0.000035662586,0.000027754431,0.00008377885,0.0069904085,0.0045801043,0.00032423457,0.0029957842,0.010700335,0.000031555403],"about_ca_topic_score_codex":0.07785495,"about_ca_topic_score_gemma":0.12227235,"teacher_disagreement_score":0.07785495,"about_ca_system_score_codex":0.0045386,"about_ca_system_score_gemma":0.002734919,"threshold_uncertainty_score":0.15480357},"labels":[],"label_agreement":null},{"id":"W4252863222","doi":"10.1016/s1464-2859(15)30331-x","title":"Hydrogenics signs deals with Chinese vehicle integrators for mobility, refueling stations, P2G","year":2015,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Integrator; Engineering; Electricity; Automotive engineering; Electric vehicle; Fuel cells; China; Electrical engineering; Transport engineering; Power (physics); Voltage","score_opus":0.008618812260055791,"score_gpt":0.211138599104192,"score_spread":0.2025197868441362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252863222","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026064992,0.0014810566,0.0014868213,0.008562596,0.0012788184,0.0003452311,0.0013960423,0.00063895574,0.9587455],"genre_scores_gemma":[0.039559957,0.00041675073,0.0003154068,0.0007569482,0.000120502766,0.000027610213,0.0004945124,0.000055290748,0.9582531],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904066,0.000035085643,0.000017162847,0.00012833074,0.00048789207,0.00029081127],"domain_scores_gemma":[0.99889416,0.000060098446,0.000059147864,0.00005757408,0.00055088906,0.00037812634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007145175,0.0011032883,0.00030937986,0.0010427346,0.005522085,0.0027385082,0.0006669212,0.0017373253,0.12329552],"category_scores_gemma":[0.0006969141,0.0004591474,0.00038085287,0.0012918328,0.0012049731,0.0011408253,0.000854965,0.0012893688,0.020861505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037374586,0.00023436625,0.011146702,0.00018421565,0.000030379511,0.0012643925,0.0007172284,0.0006076372,0.011758418,0.03727244,0.8276956,0.1087149],"study_design_scores_gemma":[0.000025330033,0.00007422735,0.0034030557,0.000012075049,0.000010993125,0.00011665034,0.00030768933,0.00026168724,0.0029042414,0.00022372263,0.9926488,0.000011523905],"about_ca_topic_score_codex":0.35134125,"about_ca_topic_score_gemma":0.4498833,"teacher_disagreement_score":0.35134125,"about_ca_system_score_codex":0.008632401,"about_ca_system_score_gemma":0.029116277,"threshold_uncertainty_score":0.6985924},"labels":[],"label_agreement":null},{"id":"W4253024998","doi":"10.32920/ryerson.14665173.v1","title":"Futuristic model of electric vehicle charging queues","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Queueing theory; Queue; Charging station; Battery (electricity); Downtown; Driving range; Automotive engineering; Electric vehicle; Range (aeronautics); Computer science; Battery capacity; Transport engineering; Environmental science; Engineering; Computer network; Geography","score_opus":0.00828906644821842,"score_gpt":0.1988633347456421,"score_spread":0.1905742682974237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253024998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18291901,0.0013945677,0.66449827,0.0044788653,0.0005695955,0.00026844323,0.0032621364,0.00072298315,0.14188619],"genre_scores_gemma":[0.8686707,0.0009079428,0.015601074,0.00036609243,0.00016031893,0.0003511231,0.00075672695,0.00011274457,0.11307321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936205,0.00017897616,0.000026075828,0.00015101848,0.000092052534,0.0001897807],"domain_scores_gemma":[0.99883896,0.0005008123,0.000162934,0.00005203796,0.00031088715,0.00013442614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786452,0.0012166735,0.0010730318,0.0009903489,0.0010705803,0.002952655,0.0031227532,0.0029358827,0.01566687],"category_scores_gemma":[0.0028060246,0.00073263946,0.0012144886,0.0012486486,0.0015897653,0.0018483767,0.0015805186,0.0017387061,0.0017212214],"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":[0.0000874135,0.000052071744,0.00082596723,0.00005756905,0.000025593177,0.00028680978,0.00017198209,0.8798299,0.00082274945,0.112944946,0.0021606956,0.0027343787],"study_design_scores_gemma":[0.000015221134,0.000016395446,0.00013905315,0.00000603683,0.000009666821,0.000019757586,0.000040694373,0.9905862,0.000058357746,0.008446542,0.000653515,0.000008547186],"about_ca_topic_score_codex":0.038630538,"about_ca_topic_score_gemma":0.018442232,"teacher_disagreement_score":0.038630538,"about_ca_system_score_codex":0.0036241298,"about_ca_system_score_gemma":0.0022375667,"threshold_uncertainty_score":0.07681137},"labels":[],"label_agreement":null},{"id":"W4253222377","doi":"10.32920/ryerson.14646972","title":"Scheduling of electrical vehicle charging for a charging facility with single charger or multiple chargers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Charging station; MATLAB; Electric vehicle; Scheduling (production processes); Toolbox; Computer science; Nonlinear system; Nonlinear programming; Mathematical optimization; Optimization problem; Automotive engineering; Electrical engineering; Engineering; Mathematics","score_opus":0.017782515001242713,"score_gpt":0.21920891576014534,"score_spread":0.2014264007589026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253222377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3564456,0.00045666113,0.6287796,0.00038608065,0.00014037374,0.00027154118,0.00026329895,0.0003814757,0.012875395],"genre_scores_gemma":[0.9581639,0.00012439984,0.038165264,0.000019169414,0.000022698949,0.000059001144,0.00008545947,0.000038300368,0.0033217946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999553,0.00015732506,0.000014515923,0.00008901082,0.000059558883,0.00012652486],"domain_scores_gemma":[0.99918133,0.00047148197,0.000093385795,0.00004635775,0.000114535374,0.00009278746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047887,0.0005792825,0.00079053314,0.00029674,0.00045670537,0.00101631,0.0008467202,0.0005934052,0.0037319846],"category_scores_gemma":[0.001977092,0.00037921534,0.00053790637,0.0004505893,0.00040047916,0.000569944,0.00061060576,0.0005953543,0.0002846075],"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":[0.00018137744,0.000041282023,0.0004388849,0.00006119082,0.000015047371,0.00005297432,0.000030493673,0.9805385,0.0012905378,0.0032615857,0.0005454554,0.013542635],"study_design_scores_gemma":[0.000010423279,0.0000418156,0.00012885763,0.0000021915678,0.0000049174937,0.000008380237,0.00002206762,0.99831355,0.00047460053,0.0007173609,0.0002724799,0.0000032298465],"about_ca_topic_score_codex":0.009297259,"about_ca_topic_score_gemma":0.007258475,"teacher_disagreement_score":0.009297259,"about_ca_system_score_codex":0.0013216302,"about_ca_system_score_gemma":0.0017664809,"threshold_uncertainty_score":0.018486261},"labels":[],"label_agreement":null},{"id":"W4253352988","doi":"10.32920/14639622.v1","title":"Renewable energy assisted traffic aware cellular base station energy cooperation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Renewable energy; Base station; Environmental science; Grid; Computer science; Wind power; Intermittent energy source; Energy (signal processing); Environmental economics; Telecommunications; Engineering; Distributed generation; Electrical engineering; Mathematics; Economics","score_opus":0.007646455278926585,"score_gpt":0.18544560761147774,"score_spread":0.17779915233255117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253352988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2504629,0.00042387864,0.7199247,0.00023860722,0.000081011094,0.000069861715,0.0001570203,0.00031702852,0.028325003],"genre_scores_gemma":[0.9863598,0.0001379348,0.010838321,0.000016874557,0.00001338518,0.00002378267,0.000041275838,0.0000089964,0.0025596935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997403,0.00007697314,0.0000058982164,0.000041457344,0.00007093459,0.000064551576],"domain_scores_gemma":[0.9996786,0.00014629735,0.000042369436,0.000034916753,0.00007535857,0.00002249241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026178916,0.0005107297,0.00045860527,0.00023360422,0.00033105887,0.00064917706,0.00080063613,0.00053580885,0.0021158382],"category_scores_gemma":[0.00063467113,0.00014679645,0.0003179168,0.0006540346,0.00033715734,0.0005066937,0.00073338,0.00035887703,0.00033861882],"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":[0.000046948684,0.000024158631,0.00037451877,0.000023514662,0.000014433346,0.00012739236,0.00002374773,0.9811205,0.0028061236,0.0058545577,0.00041478308,0.009169304],"study_design_scores_gemma":[0.000003767093,0.000028953149,0.00013768137,0.0000021903734,0.000007347248,0.000047686804,0.000020379477,0.996212,0.0008497396,0.0021383974,0.0005486917,0.0000031702841],"about_ca_topic_score_codex":0.0026444497,"about_ca_topic_score_gemma":0.0032448175,"teacher_disagreement_score":0.0026444497,"about_ca_system_score_codex":0.00048401143,"about_ca_system_score_gemma":0.000509298,"threshold_uncertainty_score":0.0070782304},"labels":[],"label_agreement":null},{"id":"W4254875416","doi":"10.4018/978-1-7998-0948-7.ch007","title":"Feasibility Study of Renewable Energy Integrated Electric Vehicle Charging Infrastructure","year":2019,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of New Brunswick","funders":"","keywords":"Interfacing; Renewable energy; Electric vehicle; Smart grid; Engineering; Automotive engineering; Charging station; Electrical engineering; Telecommunications; Computer science; Power (physics)","score_opus":0.007574580333912872,"score_gpt":0.20395592717066222,"score_spread":0.19638134683674935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254875416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46869236,0.0012649836,0.15513414,0.0008059691,0.0003384077,0.00060476974,0.00058429077,0.0006821582,0.371893],"genre_scores_gemma":[0.9678542,0.00038115552,0.015444655,0.000039437444,0.000013853261,0.00009465741,0.00027117538,0.000026905878,0.015873954],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964607,0.000076425444,0.0000088078,0.000044326454,0.0001667821,0.000057506088],"domain_scores_gemma":[0.9997149,0.00010197639,0.000015792219,0.000030385338,0.00011349522,0.000023340992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045427243,0.00027274428,0.00021556103,0.0004567337,0.00039060184,0.0012319513,0.00072030415,0.00059020193,0.011048768],"category_scores_gemma":[0.0008968556,0.00012774603,0.00031894716,0.00044367946,0.0002668239,0.0014508022,0.00059887936,0.00035341116,0.0013006682],"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":[0.0012740555,0.00061558996,0.013081098,0.0012095073,0.0000767487,0.0033378631,0.00069350394,0.24638201,0.107342474,0.266749,0.01068322,0.348555],"study_design_scores_gemma":[0.00017196257,0.0023677924,0.008545863,0.00024506255,0.0001246392,0.0019240215,0.0029139346,0.7403895,0.0947268,0.04650784,0.10199662,0.000085919106],"about_ca_topic_score_codex":0.0010836393,"about_ca_topic_score_gemma":0.0010775534,"teacher_disagreement_score":0.011048768,"about_ca_system_score_codex":0.0005880713,"about_ca_system_score_gemma":0.0006108694,"threshold_uncertainty_score":0.036961794},"labels":[],"label_agreement":null},{"id":"W4254988154","doi":"10.32920/ryerson.14664114","title":"Interrogating Variables Affecting Consumers' EV Purchasing Decision","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Purchasing; Order (exchange); Affect (linguistics); Marketing; Variable (mathematics); Purchasing decision; Business; Variables; Decision tree; Process (computing); Advertising; Operations research; Computer science; Engineering; Mathematics; Psychology","score_opus":0.008151354348899638,"score_gpt":0.22777402814419237,"score_spread":0.21962267379529274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254988154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997758,0.000052073137,0.0006213745,0.00007433171,0.0000024491537,0.000008941177,0.000118766555,0.0000031366674,0.0013609454],"genre_scores_gemma":[0.9991462,0.000040764065,0.000457828,0.000014528473,0.0000022268025,0.000007898986,0.00015389333,0.0000019762915,0.0001746268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934286,0.00031454663,0.00003977788,0.00010161116,0.00011806889,0.00008306297],"domain_scores_gemma":[0.9888285,0.008583997,0.0015401668,0.0002988302,0.00058824243,0.00016028607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017894651,0.00017447228,0.00019257166,0.0008169226,0.0003004648,0.0012927313,0.0002635854,0.00048117407,0.0020974323],"category_scores_gemma":[0.0089128455,0.0001733209,0.0002917759,0.0012376168,0.0005793141,0.0012891098,0.00044352846,0.00057274743,0.00024530935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014451939,0.00013777688,0.97171503,0.00007031574,0.00007129899,0.00024423737,0.008784813,0.0021612074,0.00094361097,0.0014594437,0.00029936517,0.013968508],"study_design_scores_gemma":[0.0000072517373,0.00012511246,0.9646043,0.0000430038,0.00005514514,0.0001707399,0.019556068,0.009699146,0.0012934711,0.0022426606,0.0021643827,0.000038810405],"about_ca_topic_score_codex":0.009327387,"about_ca_topic_score_gemma":0.011018704,"teacher_disagreement_score":0.009327387,"about_ca_system_score_codex":0.000638365,"about_ca_system_score_gemma":0.00046101617,"threshold_uncertainty_score":0.018546164},"labels":[],"label_agreement":null},{"id":"W4256352206","doi":"10.1007/978-3-319-25130-1_1","title":"Introduction","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greenhouse gas; Market penetration; Leverage (statistics); Environmental science; Environmental economics; Battery (electricity); Automotive engineering; Sustainable transport; Business; Computer science; Sustainability; Engineering; Power (physics)","score_opus":0.007311723122921046,"score_gpt":0.18025602143411623,"score_spread":0.17294429831119518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256352206","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030042935,0.0046839933,0.0063905837,0.0014784295,0.0042900895,0.00008522074,0.00069881504,0.00049889553,0.98157364],"genre_scores_gemma":[0.00077511556,0.0023983591,0.0010482838,0.00056579476,0.00058060506,0.000035850666,0.00046911402,0.00014480636,0.993982],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996207,0.000031469935,0.00001229713,0.00008056126,0.00021260155,0.000042415817],"domain_scores_gemma":[0.999645,0.000052547373,0.000013553386,0.00004812173,0.00017704084,0.000063705236],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035202777,0.00094953453,0.0005126541,0.0016058113,0.0009183896,0.0030002166,0.0011809343,0.0011938398,0.41425586],"category_scores_gemma":[0.0012504596,0.0003003024,0.000442233,0.0014365544,0.0005043011,0.002945734,0.0018194608,0.0015413975,0.32752737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015056471,0.000035922178,0.00006729238,0.00018499943,0.0000022933834,0.00004545312,0.000112013346,0.00030159747,0.00060453673,0.042131778,0.6971225,0.2593765],"study_design_scores_gemma":[8.8171674e-7,0.00000407895,0.000044150023,0.00006347638,6.7648006e-7,0.000027970054,0.00002215726,0.00003538988,0.00007196191,0.0033590165,0.9963683,0.0000019030429],"about_ca_topic_score_codex":0.0019091334,"about_ca_topic_score_gemma":0.004032388,"teacher_disagreement_score":0.41425586,"about_ca_system_score_codex":0.0010865125,"about_ca_system_score_gemma":0.0014161789,"threshold_uncertainty_score":0.8354929},"labels":[],"label_agreement":null},{"id":"W4256503774","doi":"10.32920/ryerson.14661024.v1","title":"Autonomous PEV Charging Scheduling Using Deep-Q Network and Dyna-Q Reinforcement Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reinforcement learning; Q-learning; Markov decision process; Computer science; Scheduling (production processes); Markov chain; Mathematical optimization; State space; Artificial intelligence; Set (abstract data type); Artificial neural network; Markov process; Machine learning","score_opus":0.008745657377777613,"score_gpt":0.2106575166761389,"score_spread":0.2019118592983613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256503774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06659934,0.00037799057,0.92677605,0.00047969824,0.000105517414,0.000067620334,0.000061074265,0.00076202705,0.004770608],"genre_scores_gemma":[0.9583083,0.000087511784,0.039104957,0.00012394073,0.000023071098,0.00007253971,0.00006087526,0.000029699684,0.0021891638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997725,0.00006065487,0.0000113931255,0.000056527173,0.000042111154,0.00005684125],"domain_scores_gemma":[0.9994517,0.0002800255,0.000069232556,0.000031244595,0.00011138921,0.000056349527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071923,0.0006260701,0.00082892907,0.0002641444,0.00037232589,0.0006606118,0.0012508811,0.00078389276,0.0015797677],"category_scores_gemma":[0.0013921851,0.00049817224,0.00042382756,0.00027888422,0.0005950508,0.0007245661,0.0008533664,0.0010914291,0.0001878327],"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":[0.00003762934,0.000045540623,0.00045029743,0.000018879944,0.000016513048,0.000038453312,0.000021387516,0.977007,0.00054208504,0.0020282296,0.0004127231,0.0193812],"study_design_scores_gemma":[0.000002598473,0.000005659831,0.000019250023,5.8914276e-7,9.2989734e-7,0.0000015468232,0.0000013208088,0.9994981,0.000047827543,0.00037387587,0.00004743001,8.1075996e-7],"about_ca_topic_score_codex":0.015617788,"about_ca_topic_score_gemma":0.011438127,"teacher_disagreement_score":0.015617788,"about_ca_system_score_codex":0.0010633224,"about_ca_system_score_gemma":0.0015619359,"threshold_uncertainty_score":0.031053782},"labels":[],"label_agreement":null},{"id":"W4280524437","doi":"10.2172/1867218","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Fourth Quarter 2021","year":2022,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Otsuka Canada Pharmaceutical; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Electricity; Quarter (Canadian coin); Renewable energy; Gallon (US); Transport engineering; Compressed natural gas; Business; Telecommunications; Engineering; Environmental economics; Waste management; Electrical engineering; Economics; Geography","score_opus":0.00838217148276759,"score_gpt":0.22476611052946457,"score_spread":0.21638393904669698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280524437","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15650019,0.005182017,0.0028588134,0.0061619133,0.00089773594,0.0001184891,0.6881924,0.0019031314,0.13818529],"genre_scores_gemma":[0.2798346,0.008689391,0.0035337235,0.0012979724,0.00025595402,0.00027944805,0.62609136,0.0003702915,0.079647265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994677,0.00002646694,0.000035613328,0.000057795936,0.00030922974,0.000103290455],"domain_scores_gemma":[0.9984358,0.000074661795,0.0002901926,0.000047465255,0.0010383341,0.00011354182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046566335,0.00052321184,0.00021585946,0.002486695,0.00032772956,0.0016558928,0.00042929134,0.00044707034,0.009151311],"category_scores_gemma":[0.0016854384,0.00025017053,0.00047553552,0.0051763034,0.00008355521,0.0014533001,0.00075661705,0.00071167515,0.006459036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015511693,0.00009970416,0.12506086,0.00060448056,0.00006578369,0.00020379334,0.0003523131,0.0044838344,0.0009226849,0.0033055132,0.74889004,0.11585593],"study_design_scores_gemma":[0.000014871157,0.00008566326,0.3490177,0.00033543305,0.000052672774,0.00028371494,0.0011917854,0.0034014492,0.0023370006,0.00052244833,0.64271694,0.00004033789],"about_ca_topic_score_codex":0.10088507,"about_ca_topic_score_gemma":0.10992183,"teacher_disagreement_score":0.10088507,"about_ca_system_score_codex":0.0021468522,"about_ca_system_score_gemma":0.0020502468,"threshold_uncertainty_score":0.20059568},"labels":[],"label_agreement":null},{"id":"W4280621239","doi":"10.1016/j.energy.2022.124252","title":"Electric bus coordinated charging strategy considering V2G and battery degradation","year":2022,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Electrification; Software deployment; Battery (electricity); Public transport; Grid; Schedule; Remuneration; Automotive engineering; Transport engineering; Battery electric vehicle; Electric vehicle; Total cost of ownership; Work (physics); Environmental economics; Electricity; Computer science; Engineering; Business; Electrical engineering; Finance; Economics","score_opus":0.005776014580310615,"score_gpt":0.17333434679285378,"score_spread":0.16755833221254318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280621239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3482098,0.00091726624,0.60128295,0.0012810099,0.00017764542,0.0003067553,0.0006765203,0.00052951335,0.046618532],"genre_scores_gemma":[0.991239,0.00010197483,0.0049256724,0.00004037799,0.000012013262,0.00003995304,0.000070089816,0.000025939715,0.0035449844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995863,0.000136315,0.000012258221,0.000061161074,0.00006354264,0.00014046073],"domain_scores_gemma":[0.99959654,0.00017203583,0.00006160778,0.000020549964,0.000090745954,0.0000585189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000693127,0.0010210547,0.00091406435,0.000594587,0.00052217033,0.0015794751,0.001304088,0.0010831842,0.004029652],"category_scores_gemma":[0.0012764302,0.00046737195,0.0006995668,0.00073126814,0.00040405584,0.00092302583,0.0007724274,0.00064906786,0.00026801406],"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":[0.000041163596,0.000017975653,0.00034295526,0.000021284535,0.000018813205,0.00009684287,0.000012940046,0.9930496,0.00041293725,0.002070594,0.0004226324,0.0034922054],"study_design_scores_gemma":[0.000010024838,0.000040654722,0.00026387445,0.000004039923,0.00001774839,0.000028779481,0.000033873217,0.9975501,0.00018046214,0.0013867993,0.00047826394,0.0000053592094],"about_ca_topic_score_codex":0.015884165,"about_ca_topic_score_gemma":0.011451478,"teacher_disagreement_score":0.015884165,"about_ca_system_score_codex":0.0015702628,"about_ca_system_score_gemma":0.0014219886,"threshold_uncertainty_score":0.03158343},"labels":[],"label_agreement":null},{"id":"W4280637859","doi":"10.1002/er.8066","title":"Transition of heavy‐duty trucks from diesel to hydrogen fuel cells: Opportunities, challenges, and recommendations","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":68,"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; University of Victoria","funders":"Higher Education Discipline Innovation Project; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Truck; Zero emission; Environmental economics; Renewable energy; Business; Hydrogen vehicle; Diesel fuel; Natural resource economics; Waste management; Hydrogen fuel; Engineering; Fuel cells; Economics; Automotive engineering","score_opus":0.06619753357125432,"score_gpt":0.29947407404738285,"score_spread":0.23327654047612853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280637859","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04636493,0.15755782,0.020151766,0.64018005,0.012389872,0.000976949,0.0028932602,0.000828978,0.11865632],"genre_scores_gemma":[0.31996337,0.42534164,0.059975516,0.040448718,0.0025966065,0.0008844321,0.0022903022,0.00013806112,0.14836133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887806,0.00022346922,0.00007415332,0.00015744257,0.0004172396,0.00024959055],"domain_scores_gemma":[0.99701935,0.00062330073,0.00020377067,0.00007432019,0.0015001091,0.00057927804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016538855,0.0009296457,0.0004952271,0.0010596991,0.0011794998,0.0036092626,0.0019595341,0.0037184693,0.013428608],"category_scores_gemma":[0.002723994,0.00029169803,0.000696445,0.0009861036,0.00070372125,0.003996332,0.0012916956,0.0027345754,0.0034339435],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043632422,0.001114565,0.009694056,0.0069619864,0.00012921555,0.0015602038,0.00089036627,0.01195482,0.008439834,0.044734217,0.378788,0.53529644],"study_design_scores_gemma":[0.000087446046,0.00074851344,0.0077231093,0.006827493,0.00019450254,0.00045510803,0.024203176,0.00815125,0.007969279,0.05761883,0.8857893,0.00023205427],"about_ca_topic_score_codex":0.017416876,"about_ca_topic_score_gemma":0.0473095,"teacher_disagreement_score":0.017416876,"about_ca_system_score_codex":0.002390382,"about_ca_system_score_gemma":0.01078559,"threshold_uncertainty_score":0.044923127},"labels":[],"label_agreement":null},{"id":"W4280649938","doi":"10.1155/2022/2309376","title":"Prediction of Charging Requirements for Electric Vehicles Based on Multiagent Intelligence","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transferability; Electric vehicle; Computer science; Driving range; Charging station; Key (lock); Range (aeronautics); Bounded rationality; Transport engineering; Environmental economics; Simulation; Automotive engineering; Operations research; Engineering; Computer security; Power (physics); Artificial intelligence; Economics; Machine learning","score_opus":0.014113985745408852,"score_gpt":0.23494919097358288,"score_spread":0.22083520522817404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280649938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88006604,0.0001542978,0.11644542,0.00026074893,0.00003071578,0.000051190447,0.00040706448,0.00028172342,0.0023028643],"genre_scores_gemma":[0.9951284,0.000028526078,0.0043722987,0.000009021914,0.0000034667166,0.000012746169,0.00021931407,0.000005603517,0.00022065696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980384,0.00006497835,0.000014280166,0.000049203773,0.00003678816,0.00003089995],"domain_scores_gemma":[0.99930394,0.00039296973,0.00010429675,0.000043184868,0.000111872745,0.000043647855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048221226,0.0004534076,0.00036722491,0.00052079145,0.00017793031,0.00063546066,0.00048987835,0.00034431627,0.0005321882],"category_scores_gemma":[0.002250367,0.0002304764,0.00031858552,0.00038842938,0.00013744766,0.00073755294,0.0003405639,0.00046189746,0.00012973334],"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":[0.00008469445,0.00006879651,0.013441857,0.000016991426,0.000030157758,0.000043768145,0.000026023186,0.97562826,0.0005195537,0.00067806925,0.00037299696,0.009088773],"study_design_scores_gemma":[0.0000011627694,0.000005928758,0.001037441,5.7506935e-7,0.0000016742824,0.0000024704443,0.000009742881,0.9986022,0.00008518701,0.00021958488,0.00003299591,0.000001049072],"about_ca_topic_score_codex":0.00902639,"about_ca_topic_score_gemma":0.0076777637,"teacher_disagreement_score":0.00902639,"about_ca_system_score_codex":0.00060361275,"about_ca_system_score_gemma":0.00033280568,"threshold_uncertainty_score":0.017947674},"labels":[],"label_agreement":null},{"id":"W4281946866","doi":"10.1002/er.8219","title":"Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Electric Vehicles and Infrastructure","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":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Interpretability; Boosting (machine learning); Random forest; Ensemble learning; Charging station; Computer science; Machine learning; Categorical variable; Electric vehicle; Gradient boosting; Algorithm; Artificial intelligence; Power (physics)","score_opus":0.021441186920212487,"score_gpt":0.2679745825724359,"score_spread":0.2465333956522234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281946866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4767008,0.0002591638,0.5208039,0.0002753568,0.00004114071,0.00004400246,0.00010455811,0.00033789873,0.0014331186],"genre_scores_gemma":[0.9826195,0.000050645107,0.016813442,0.000024173076,0.000012614284,0.000017304608,0.00008817724,0.0000059402278,0.00036818685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996051,0.00014663534,0.000024864605,0.00008728051,0.000077532415,0.000058564405],"domain_scores_gemma":[0.99817276,0.00122669,0.0001785204,0.00009140304,0.00027268007,0.000057895657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015285406,0.0004915187,0.0007220395,0.00088118075,0.00025838034,0.0005450259,0.0007107158,0.0006463348,0.0006384541],"category_scores_gemma":[0.0036948605,0.00021035089,0.00053600146,0.0004883105,0.00027397048,0.0009066128,0.00046808485,0.0006656056,0.00007045762],"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":[0.000060865503,0.000058763377,0.008897257,0.000017575396,0.000046829788,0.000046647263,0.000034873407,0.93946177,0.00045615833,0.0020775292,0.0003398449,0.04850183],"study_design_scores_gemma":[0.0000011459964,0.000008587108,0.0002943953,7.594798e-7,0.0000025257273,0.0000023083778,0.000002280334,0.999233,0.00007734871,0.00035738474,0.000018966004,0.000001321358],"about_ca_topic_score_codex":0.0049113915,"about_ca_topic_score_gemma":0.003988827,"teacher_disagreement_score":0.0049113915,"about_ca_system_score_codex":0.0005981167,"about_ca_system_score_gemma":0.00066703116,"threshold_uncertainty_score":0.009765625},"labels":[],"label_agreement":null},{"id":"W4282563294","doi":"10.3390/en15124286","title":"Public Transport Decarbonization via Urban Bus Fleet Replacement in Portugal","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Greenhouse gas; Fossil fuel; Quarter (Canadian coin); Business; Sustainable transport; Sustainable development; Zero emission; Natural resource economics; Transport engineering; Engineering; Economics; Sustainability; Waste management; Geography","score_opus":0.006803394659066364,"score_gpt":0.1711209002412126,"score_spread":0.16431750558214622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282563294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94533545,0.00045233383,0.013777784,0.00046596045,0.000097817705,0.00009642461,0.00028033275,0.00027990827,0.039214067],"genre_scores_gemma":[0.99275815,0.00020478388,0.003799728,0.000020093881,0.000005698839,0.000017414997,0.00012517745,0.000018995586,0.0030499077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.00007239743,0.000008693921,0.000031643034,0.0000436345,0.000067879555],"domain_scores_gemma":[0.99985266,0.000026367146,0.00003495262,0.00003135542,0.000031377254,0.000023382398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034262892,0.00028948387,0.00020466355,0.0003118389,0.0005029576,0.0005474907,0.0004024434,0.00035697487,0.002321968],"category_scores_gemma":[0.00049903226,0.0001020842,0.00042989003,0.0005426316,0.0002500823,0.0005435577,0.0004502735,0.00022441465,0.0003902367],"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":[0.0018452285,0.001186615,0.06636435,0.0007359981,0.00017498268,0.004817624,0.0016103957,0.5186532,0.029811509,0.038133033,0.013975465,0.3226916],"study_design_scores_gemma":[0.0003690059,0.0025853342,0.09868825,0.00034130792,0.00030697373,0.0020801888,0.0085045,0.63638455,0.047997467,0.019588953,0.1829895,0.00016398935],"about_ca_topic_score_codex":0.015179806,"about_ca_topic_score_gemma":0.023978038,"teacher_disagreement_score":0.015179806,"about_ca_system_score_codex":0.00093758974,"about_ca_system_score_gemma":0.0010020536,"threshold_uncertainty_score":0.030182898},"labels":[],"label_agreement":null},{"id":"W4282933359","doi":"10.1016/j.resconrec.2022.106440","title":"Vehicle fleet electrification and its effects on the global warming potential of highway pavements in the United States","year":2022,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrification; Global warming; Global-warming potential; Transport engineering; Sustainable transport; Electric vehicle; Sustainable development; Environmental science; Climate change; Engineering; Electricity; Sustainability; Greenhouse gas","score_opus":0.00796716489927264,"score_gpt":0.20487961088716475,"score_spread":0.19691244598789212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282933359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99036765,0.0009480451,0.00013929892,0.0013129505,0.000035361838,0.000004236432,0.0018151588,0.0000090554495,0.0053681503],"genre_scores_gemma":[0.9981668,0.0005335827,0.00006216493,0.00006302044,0.000011536812,0.0000025603456,0.00036219682,0.000002411502,0.00079564843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984956,0.000052770123,0.000007710025,0.000020183214,0.000031369946,0.00003836528],"domain_scores_gemma":[0.99960333,0.000090117515,0.000118226104,0.000017254892,0.000117376556,0.000053754793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002567346,0.00017402005,0.000088165354,0.0005877026,0.00024757962,0.00062050036,0.00019839576,0.00031523276,0.0014732246],"category_scores_gemma":[0.00061769737,0.000081556645,0.00030651444,0.0011706856,0.00027047683,0.0005227821,0.0004817597,0.00036466308,0.00010587548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040571784,0.00016967717,0.9472561,0.000099461664,0.00025322774,0.00038348485,0.00051792135,0.014171725,0.0014548642,0.0025594614,0.0048815156,0.02784691],"study_design_scores_gemma":[0.00000621363,0.000062120336,0.98937994,0.00003343868,0.00005989154,0.00005089793,0.0015669796,0.0027716595,0.000402625,0.000551586,0.005105403,0.000009265914],"about_ca_topic_score_codex":0.16344322,"about_ca_topic_score_gemma":0.2816368,"teacher_disagreement_score":0.16344322,"about_ca_system_score_codex":0.0011799751,"about_ca_system_score_gemma":0.000745389,"threshold_uncertainty_score":0.32498372},"labels":[],"label_agreement":null},{"id":"W4282945444","doi":"10.1109/sustech53338.2022.9794247","title":"System Design and PV Sizing of a Micro Solar Electric Vehicle for Pakistan","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sizing; Electric vehicle; Photovoltaic system; Automotive engineering; Solar energy; Power demand; Environmental economics; Environmental science; Engineering; Electrical engineering; Power (physics); Economics; Physics; Power consumption","score_opus":0.006169205006494613,"score_gpt":0.19565713764740197,"score_spread":0.18948793264090735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282945444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19167273,0.00070756814,0.7329924,0.0005701528,0.00021182362,0.00087394257,0.00082703814,0.0019311524,0.070213154],"genre_scores_gemma":[0.9273296,0.00019558646,0.061877113,0.00005964566,0.00002205783,0.00021085166,0.00021827861,0.000048829,0.010037949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986446,0.000027150514,0.0000074421005,0.000029518184,0.000055434233,0.000016070751],"domain_scores_gemma":[0.99991417,0.000018814615,0.000019383864,0.000006289612,0.000036294907,0.000005055749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615127,0.00046314232,0.00032598607,0.00027037112,0.0004464771,0.00070041005,0.0006060679,0.0003510291,0.006440433],"category_scores_gemma":[0.00016088066,0.0002495809,0.0003931329,0.00022746676,0.00016693636,0.00029293378,0.00021410895,0.00027412805,0.0007864629],"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":[0.00030869906,0.00010424029,0.0029866884,0.00064483035,0.00009746184,0.00040847276,0.0002724574,0.71901983,0.12469584,0.0070336037,0.0055246707,0.13890323],"study_design_scores_gemma":[0.00009780429,0.0011618348,0.003809573,0.00003602623,0.00010163986,0.00037899124,0.00026164524,0.92416286,0.04415376,0.0018870044,0.023912044,0.000036746387],"about_ca_topic_score_codex":0.004768732,"about_ca_topic_score_gemma":0.010357667,"teacher_disagreement_score":0.006440433,"about_ca_system_score_codex":0.0007702983,"about_ca_system_score_gemma":0.0008850836,"threshold_uncertainty_score":0.02154541},"labels":[],"label_agreement":null},{"id":"W4283066851","doi":"10.3390/en15124446","title":"Centralized and Distributed Optimization for Vehicle-to-Grid Applications in Frequency Regulation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Computer science; Electricity; Lagrangian relaxation; Mathematical optimization; Battery (electricity); Vehicle-to-grid; Grid; Power (physics); Relaxation (psychology); Electric vehicle; Engineering; Electrical engineering","score_opus":0.004069536186740039,"score_gpt":0.19230472465776988,"score_spread":0.18823518847102982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283066851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009399965,0.00031427728,0.98572457,0.00022578609,0.000054380467,0.000028914705,0.000038418148,0.0001293784,0.0040843096],"genre_scores_gemma":[0.93787825,0.00051945244,0.057026427,0.00011297206,0.00007377936,0.00009928097,0.00008184414,0.00006270238,0.004145358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992919,0.000283656,0.00001899931,0.00015672026,0.00015234879,0.000096404685],"domain_scores_gemma":[0.9994271,0.00028747105,0.000086888365,0.00004955332,0.00011698778,0.00003211337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010947217,0.00092866045,0.0011288088,0.0002943043,0.00047204064,0.001163188,0.0012428808,0.0008861902,0.00171908],"category_scores_gemma":[0.0015692508,0.00042031828,0.0008437314,0.0006658022,0.0007695818,0.0010182356,0.00089604716,0.0011696183,0.00021115388],"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":[0.000010675518,0.000011370772,0.000107285654,0.0000149689795,0.000008782764,0.000019888004,0.000010213985,0.9892323,0.0001550293,0.0052915784,0.00038962768,0.0047483053],"study_design_scores_gemma":[0.0000029447197,0.000007364429,0.000034671924,0.0000014025921,0.0000025967515,0.000004317327,0.0000043270175,0.9977725,0.0000461545,0.0019082322,0.00021376171,0.0000017153906],"about_ca_topic_score_codex":0.011148433,"about_ca_topic_score_gemma":0.010032008,"teacher_disagreement_score":0.011148433,"about_ca_system_score_codex":0.0011441333,"about_ca_system_score_gemma":0.0014948061,"threshold_uncertainty_score":0.022167087},"labels":[],"label_agreement":null},{"id":"W4283209861","doi":"10.1109/iemtronics55184.2022.9795769","title":"Dynamic Modeling of a Micro Solar Electric Vehicle for Pakistan using Simulink","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sizing; Electric vehicle; Automotive engineering; Electricity; Battery (electricity); Photovoltaic system; MATLAB; Computer science; Electric cars; DC motor; Electricity generation; Power (physics); Electrical engineering; Engineering; Physics","score_opus":0.013066906665356601,"score_gpt":0.257171926106127,"score_spread":0.2441050194407704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283209861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11121255,0.000446956,0.8331502,0.00053490134,0.00024824165,0.00030074836,0.0010511458,0.0026224458,0.05043273],"genre_scores_gemma":[0.9498431,0.00039444605,0.028926646,0.00007929456,0.00002063563,0.00040066818,0.00044667872,0.00008781344,0.019800676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988663,0.00002045506,0.000008668836,0.000024453664,0.000045023604,0.000014721991],"domain_scores_gemma":[0.99986255,0.00004379454,0.000026016834,0.000010303581,0.0000515182,0.000005899455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016231442,0.00056891225,0.00047977266,0.00023728685,0.00050547294,0.00084386615,0.0006828057,0.0007901204,0.0068132146],"category_scores_gemma":[0.00026356656,0.000295833,0.0006506612,0.00017198102,0.00026217682,0.00049830286,0.0004419953,0.0006365821,0.001005445],"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":[0.00006718107,0.000024296589,0.0007666128,0.0001481453,0.000024353702,0.0001668819,0.00010701904,0.98172784,0.0047755847,0.0022861906,0.0005456396,0.009360272],"study_design_scores_gemma":[0.000015032777,0.00005878216,0.00024191574,0.000013085589,0.0000131412025,0.00003597348,0.000030162466,0.9954124,0.0017128517,0.00032918272,0.0021309305,0.0000065240984],"about_ca_topic_score_codex":0.013122037,"about_ca_topic_score_gemma":0.008373438,"teacher_disagreement_score":0.013122037,"about_ca_system_score_codex":0.00039975863,"about_ca_system_score_gemma":0.0007121959,"threshold_uncertainty_score":0.026091278},"labels":[],"label_agreement":null},{"id":"W4283460225","doi":"10.1109/tvt.2022.3180124","title":"Guest Editorial Introduction to the Special Section on Innovative Electrified Vehicles","year":2022,"lang":"en","type":"editorial","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Coventry University; Université de Lille; Université de Sherbrooke","keywords":"Electrification; Engineering; Special section; Transport engineering; Telecommunications; Aeronautics; Business; Electricity; Electrical engineering","score_opus":0.0030095950760434184,"score_gpt":0.19907432270863698,"score_spread":0.19606472763259356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283460225","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030603285,0.0022242954,0.00010460811,0.009767361,0.9853864,0.000016303176,0.000030872947,0.000039733655,0.0023998986],"genre_scores_gemma":[0.00041738112,0.003350799,0.00008789774,0.007574456,0.9748556,0.000019140889,0.000042702235,0.000043929278,0.013608132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763954,0.0002486801,0.00026439916,0.0003525267,0.0012648712,0.00022997525],"domain_scores_gemma":[0.9881396,0.0024893808,0.00066703325,0.00028567415,0.0062559186,0.0021623836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028227002,0.0027506617,0.0018976642,0.0035467679,0.0023960574,0.0065398044,0.0019445405,0.0076490073,0.033163216],"category_scores_gemma":[0.01118121,0.0007262695,0.0018620187,0.0010785342,0.0011219052,0.0037401116,0.0013155951,0.009807728,0.023352103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025768777,0.000013234594,0.000025385847,0.00016002006,0.0000057074785,0.00012229888,0.000007901569,0.00002298568,0.00009527455,0.00026102172,0.99258727,0.0066730594],"study_design_scores_gemma":[0.000023262668,0.000028030257,0.00016207647,0.0002112469,0.000015532067,0.00031780853,0.000026264175,0.00008079341,0.00014110659,0.0005773307,0.99840623,0.0000102503],"about_ca_topic_score_codex":0.0006059253,"about_ca_topic_score_gemma":0.0014970887,"teacher_disagreement_score":0.033163216,"about_ca_system_score_codex":0.0015462221,"about_ca_system_score_gemma":0.0017796186,"threshold_uncertainty_score":0.110942006},"labels":[],"label_agreement":null},{"id":"W4283525618","doi":"10.1177/03611981221100242","title":"Dynamic Surrogate Trip-Level Energy Model for Electric Bus Transit System Optimization","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Electric Vehicles and Infrastructure","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":"McMaster University","funders":"","keywords":"Energy consumption; Electrification; Computer science; Scheduling (production processes); Electric vehicle; Surrogate model; Simulation; Real-time computing; Automotive engineering; Mathematical optimization; Transport engineering; Electricity; Engineering; Electrical engineering","score_opus":0.04170605052919683,"score_gpt":0.29862566105101784,"score_spread":0.256919610521821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283525618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048236407,0.0003049605,0.93332124,0.00032096042,0.00007156041,0.00009095079,0.00052061235,0.00031938808,0.016813932],"genre_scores_gemma":[0.93701607,0.0003429361,0.05012857,0.00008735298,0.000026448506,0.00032170766,0.0008700226,0.000110747016,0.011096169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969304,0.00014084383,0.000011839145,0.00003420384,0.000077520235,0.00004270252],"domain_scores_gemma":[0.9993554,0.000385294,0.000063394036,0.000034586763,0.00012852058,0.00003285814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007416497,0.00079619256,0.0009877105,0.00050125574,0.00035634605,0.0012109574,0.0009144502,0.0012004869,0.0036393208],"category_scores_gemma":[0.001877889,0.0005286726,0.0010452922,0.0008926849,0.0005174697,0.0008483475,0.0008182532,0.0013605548,0.0004521469],"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":[0.000005435894,0.0000035510272,0.000050088758,0.000005592968,0.0000027691426,0.000006491274,0.0000029633013,0.998591,0.00005472844,0.00074330403,0.00006287573,0.00047118118],"study_design_scores_gemma":[0.0000013238405,0.000004952605,0.000019750849,0.0000013910944,8.862206e-7,0.0000017441944,0.0000023691716,0.9994609,0.00002553684,0.00037851086,0.0001016818,9.543844e-7],"about_ca_topic_score_codex":0.008509701,"about_ca_topic_score_gemma":0.0057264175,"teacher_disagreement_score":0.008509701,"about_ca_system_score_codex":0.0010275724,"about_ca_system_score_gemma":0.0012065258,"threshold_uncertainty_score":0.016920328},"labels":[],"label_agreement":null},{"id":"W4283723862","doi":"10.1016/j.apenergy.2022.119491","title":"EVStationSIM: An end-to-end platform to identify and interpret similar clustering patterns of EV charging stations across multiple time slices","year":2022,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","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":"Research and Productivity Council; University of New Brunswick","funders":"U.S. Department of Transportation","keywords":"Cluster analysis; Electrification; Software deployment; Computer science; Consistency (knowledge bases); Service (business); Process (computing); Data mining; Work (physics); Range (aeronautics); End user; Operations research; Engineering; Machine learning; Artificial intelligence; Electricity; Electrical engineering; Business","score_opus":0.007797226075672534,"score_gpt":0.24046932248341665,"score_spread":0.2326720964077441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283723862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07317156,0.00026511212,0.46441498,0.0002727751,0.00042754316,0.00038307253,0.031743843,0.42311543,0.0062056454],"genre_scores_gemma":[0.59660697,0.00046722242,0.3128303,0.00054087373,0.00015264425,0.00082857953,0.06058819,0.01824483,0.009740404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997392,0.000041395982,0.000022244842,0.00008803436,0.00007719691,0.000031765016],"domain_scores_gemma":[0.9993155,0.00026902836,0.00007454649,0.00010709367,0.00012957581,0.00010415086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064670574,0.0016781155,0.00081603834,0.0014269217,0.00037299737,0.0011832933,0.001793429,0.0006163048,0.014644389],"category_scores_gemma":[0.002077212,0.0005401786,0.0008243251,0.00089096837,0.0002683101,0.0010648465,0.0011254901,0.0007669868,0.0044870065],"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":[0.004185852,0.0012564312,0.034094743,0.0014863637,0.0022433836,0.0022488877,0.0018072905,0.4248892,0.04151934,0.009901346,0.22798102,0.24838622],"study_design_scores_gemma":[0.00018010568,0.00011524256,0.0032790003,0.000026079704,0.000064603,0.00014616204,0.00017486584,0.96308994,0.010304881,0.0063939383,0.016146433,0.00007870336],"about_ca_topic_score_codex":0.0064644665,"about_ca_topic_score_gemma":0.011501392,"teacher_disagreement_score":0.014644389,"about_ca_system_score_codex":0.0004240268,"about_ca_system_score_gemma":0.00081244676,"threshold_uncertainty_score":0.04899037},"labels":[],"label_agreement":null},{"id":"W4283724736","doi":"10.1016/j.est.2022.105197","title":"Optimal operation of static energy storage in fast-charging stations considering the trade-off between resilience and peak shaving","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Resilience (materials science); Peaking power plant; Reliability engineering; Energy storage; Reduction (mathematics); Computer science; Electric power system; Automotive engineering; Power (physics); Engineering; Mathematics; Materials science","score_opus":0.007171893169331902,"score_gpt":0.20858652995104182,"score_spread":0.20141463678170993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283724736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50498325,0.0008613526,0.4842308,0.00031632456,0.00008970674,0.00015541424,0.00010108745,0.00033829745,0.0089238295],"genre_scores_gemma":[0.99636996,0.00006260774,0.0031435802,0.0000074201794,0.0000040091827,0.000013560432,0.000006760365,0.0000040858677,0.0003880669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999795,0.000043374283,0.000011392144,0.000043881882,0.00003632098,0.000069917915],"domain_scores_gemma":[0.9997845,0.000080216414,0.000050548402,0.000012784795,0.000042837284,0.00002917062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044831942,0.0008160115,0.0007603307,0.00029994588,0.0003843181,0.0011363238,0.0006713197,0.0005633619,0.0014658552],"category_scores_gemma":[0.00070518575,0.0003202241,0.00043018605,0.00028706912,0.00039968488,0.00078207406,0.0005425639,0.00043315822,0.00013730382],"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":[0.00024468158,0.000047095673,0.0006551785,0.000090595764,0.000027377138,0.0001420102,0.00004644288,0.9667223,0.011651858,0.002654048,0.0002723954,0.01744602],"study_design_scores_gemma":[0.000013774477,0.000113081485,0.00026230075,0.000006255041,0.000016683944,0.000019230849,0.000035843284,0.9963528,0.0021809621,0.0008539886,0.00013836878,0.0000067435717],"about_ca_topic_score_codex":0.003338298,"about_ca_topic_score_gemma":0.0029273636,"teacher_disagreement_score":0.003338298,"about_ca_system_score_codex":0.0006514101,"about_ca_system_score_gemma":0.0009552476,"threshold_uncertainty_score":0.006637752},"labels":[],"label_agreement":null},{"id":"W4283793687","doi":"10.3390/en15134901","title":"Electric Vehicle Charging Model in the Urban Residential Sector","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Electric vehicle; Automotive engineering; State of charge; Voltage; Distribution transformer; Computer science; Transformer; Power (physics); Electrical engineering; Battery (electricity); Engineering; Physics","score_opus":0.005960137195013419,"score_gpt":0.18108794657247484,"score_spread":0.17512780937746142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283793687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6181489,0.00044593387,0.33801675,0.0010445153,0.000101090765,0.00022291155,0.0029990966,0.0008285763,0.03819223],"genre_scores_gemma":[0.9825211,0.00016197657,0.005529143,0.000057082914,0.000012993188,0.00009347426,0.0006282349,0.000037175607,0.01095874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999754,0.00006285724,0.000012365974,0.00006006122,0.000048488724,0.000062148625],"domain_scores_gemma":[0.99960905,0.00014143485,0.000046708723,0.000023821083,0.00015711754,0.0000218392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004588101,0.00051185547,0.0005516412,0.0005030272,0.00048735048,0.00084778544,0.0013436888,0.0010383273,0.003031476],"category_scores_gemma":[0.0011084666,0.00033918067,0.00066165393,0.0008989341,0.000465524,0.00078615604,0.00060812314,0.0006945957,0.00062794646],"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":[0.000012766196,0.000009064078,0.001068418,0.0000060777716,0.0000047219664,0.000045592806,0.000015501406,0.9959413,0.00012879392,0.0014056329,0.00020694103,0.0011551781],"study_design_scores_gemma":[0.0000022538336,0.0000036845931,0.0002563716,0.0000010172454,0.0000017681249,0.0000071236886,0.000013310655,0.9991328,0.000040506202,0.00039151136,0.00014755735,0.0000021326396],"about_ca_topic_score_codex":0.08558033,"about_ca_topic_score_gemma":0.040992662,"teacher_disagreement_score":0.08558033,"about_ca_system_score_codex":0.0017532719,"about_ca_system_score_gemma":0.0012505227,"threshold_uncertainty_score":0.17016435},"labels":[],"label_agreement":null},{"id":"W4283808455","doi":"10.46855/energy-proceedings-8600","title":"Technical and Economic Feasibility of Electrified Highways for Heavy-Duty Electric Trucks","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Truck; Heavy duty; Transport engineering; Duty; Business; Automotive engineering; Electric cars; Economic feasibility; Engineering; Environmental economics; Economics; Political science","score_opus":0.014029360982206888,"score_gpt":0.2422565620179634,"score_spread":0.2282272010357565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283808455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896779,0.00017336784,0.0014823223,0.00005133695,0.000014974823,0.00006598487,0.00018490564,0.000016817085,0.00833242],"genre_scores_gemma":[0.997166,0.00015367096,0.0010872794,0.0000064345736,0.0000028974696,0.000020709347,0.00013640978,0.00000556662,0.0014210736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988286,0.00031780291,0.00004673251,0.00010393683,0.000549582,0.00015334346],"domain_scores_gemma":[0.99875486,0.00044790373,0.00015013314,0.00011603603,0.0004430466,0.00008799767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012075854,0.00052270864,0.00023517931,0.0011432763,0.00059204455,0.0012826675,0.000674134,0.0006126162,0.004021397],"category_scores_gemma":[0.001885505,0.00021408587,0.0005123424,0.00078899786,0.00058084744,0.0022931579,0.0006845314,0.00036967683,0.00043691753],"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":[0.004649873,0.002425765,0.14897664,0.0016066029,0.0002971011,0.0051685944,0.00064831856,0.45388076,0.13199623,0.019905018,0.0042689983,0.22617608],"study_design_scores_gemma":[0.00041863177,0.018626224,0.33213317,0.00043231045,0.00084005843,0.0025072305,0.017125936,0.38651872,0.18293592,0.009912941,0.048205364,0.00034359013],"about_ca_topic_score_codex":0.00379211,"about_ca_topic_score_gemma":0.006019863,"teacher_disagreement_score":0.004021397,"about_ca_system_score_codex":0.0014144974,"about_ca_system_score_gemma":0.00079370337,"threshold_uncertainty_score":0.013452947},"labels":[],"label_agreement":null},{"id":"W4285103615","doi":"10.1109/isgt50606.2022.9817469","title":"A Reward Mechanism for Reliability-as-a-Service Usage of Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Backup; Reliability (semiconductor); Incentive; Revenue; Reliability engineering; Computer science; Service (business); Mechanism (biology); Automotive engineering; Battery (electricity); Generator (circuit theory); Power (physics); Business; Risk analysis (engineering); Computer security; Engineering; Finance; Database; Microeconomics; Marketing; Economics","score_opus":0.005746082655524967,"score_gpt":0.1982884377284939,"score_spread":0.1925423550729689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285103615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05987976,0.0005008457,0.92882574,0.0006016147,0.00024893906,0.00039233422,0.00014946937,0.0008459897,0.008555212],"genre_scores_gemma":[0.97160983,0.00018655998,0.024477694,0.000065776,0.00007980848,0.00015111575,0.000039294897,0.000025572528,0.0033643802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720484,0.0010468261,0.00017149365,0.0005261089,0.0006014068,0.00044923194],"domain_scores_gemma":[0.9954912,0.0016357797,0.00082437263,0.0005550889,0.0010456262,0.0004478721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032641182,0.0010562072,0.0009079778,0.0010602736,0.00091545854,0.0014271424,0.0030898007,0.0011476148,0.0052630063],"category_scores_gemma":[0.008818025,0.00033796573,0.00046863419,0.00087802147,0.0009810929,0.002067129,0.001447606,0.0013823141,0.00067238003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013222063,0.00070791034,0.0050809192,0.0003984938,0.0001186449,0.0006539013,0.00032769938,0.4323919,0.02403102,0.26544175,0.0085793445,0.26094615],"study_design_scores_gemma":[0.00007896581,0.00043257236,0.0010129461,0.0000348126,0.000043210024,0.00033222983,0.000040477364,0.97077674,0.0030258135,0.01962076,0.004541184,0.00006028257],"about_ca_topic_score_codex":0.0014299796,"about_ca_topic_score_gemma":0.0016213986,"teacher_disagreement_score":0.0052630063,"about_ca_system_score_codex":0.0016141322,"about_ca_system_score_gemma":0.0016740423,"threshold_uncertainty_score":0.017606497},"labels":[],"label_agreement":null},{"id":"W4285113418","doi":"10.1109/access.2022.3175817","title":"A Stochastic Approach to Designing Plug-In Electric Vehicle Charging Controller for Residential Applications","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Collège Shawinigan","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation de l’UQTR","keywords":"Computer science; Scheduling (production processes); Schedule; Exploit; Plug-in; Demand response; Electric vehicle; Controller (irrigation); Electricity; Mathematical optimization; Control engineering; Operations research; Power (physics); Engineering","score_opus":0.01381062985040572,"score_gpt":0.24816715686272092,"score_spread":0.2343565270123152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285113418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005080307,0.00012281627,0.99138266,0.00007468482,0.00002097967,0.000031525677,0.000014191955,0.00013337762,0.0031395634],"genre_scores_gemma":[0.9218052,0.0003424934,0.075061105,0.00007206339,0.000049468068,0.00013306984,0.00004271048,0.000019675837,0.0024742011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996145,0.00007674329,0.000021550637,0.000069546746,0.00017534694,0.000042338124],"domain_scores_gemma":[0.99974126,0.00009189489,0.00005208497,0.000017452272,0.00008672376,0.000010572061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038369815,0.0005161099,0.00033947715,0.00029544372,0.00036895895,0.000735969,0.00066823344,0.00044577796,0.0012389561],"category_scores_gemma":[0.0008889845,0.00025817004,0.00038435438,0.00024053117,0.0003026743,0.0002902884,0.00036188937,0.0005560213,0.00021557418],"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":[0.000032502463,0.000042111802,0.000481843,0.000095775256,0.000023962295,0.00008598906,0.000043600456,0.9328473,0.009370512,0.013805507,0.0005586396,0.042612292],"study_design_scores_gemma":[0.0000024073083,0.000030750427,0.00009403496,0.000003908137,0.0000046083105,0.00002068191,0.000004833845,0.99732566,0.00092081964,0.0009770831,0.00061140984,0.000003763863],"about_ca_topic_score_codex":0.00289914,"about_ca_topic_score_gemma":0.0035822985,"teacher_disagreement_score":0.00289914,"about_ca_system_score_codex":0.00047919923,"about_ca_system_score_gemma":0.0011027424,"threshold_uncertainty_score":0.0057644844},"labels":[],"label_agreement":null},{"id":"W4285146461","doi":"10.1109/tte.2022.3179311","title":"An Extended State Space Model for Aggregation of Large-Scale EVs Considering Fast Charging","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"News aggregator; Population; Flexibility (engineering); State of charge; Computer science; Frequency regulation; Probabilistic logic; Electric power system; Automotive engineering; Power (physics); Engineering; Battery (electricity); Mathematics","score_opus":0.008495657258146959,"score_gpt":0.22525489790711392,"score_spread":0.21675924064896696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285146461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016261881,0.00031967292,0.9726184,0.00030368892,0.00010267156,0.00006427976,0.0003312443,0.00034273075,0.009655414],"genre_scores_gemma":[0.96092004,0.00069979945,0.024074268,0.00012163081,0.00010110732,0.00031521474,0.000477757,0.00007648711,0.013213796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939823,0.0001611828,0.00003523083,0.0001483002,0.00015029692,0.000106614905],"domain_scores_gemma":[0.9993837,0.00025764894,0.00009685175,0.00004903351,0.00017273941,0.0000400453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080694316,0.001155401,0.001147107,0.00052875676,0.00062926783,0.0019833955,0.001764076,0.0014542138,0.004953231],"category_scores_gemma":[0.0014712036,0.00047959565,0.0012209115,0.0007746543,0.00078917533,0.0020732484,0.0012707186,0.0017214925,0.0007893686],"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":[0.000021827187,0.000011879022,0.00026882655,0.000024091929,0.000017003958,0.00006943437,0.00003460171,0.9849754,0.0004161601,0.011186956,0.0003560062,0.0026178116],"study_design_scores_gemma":[0.000003285552,0.000010537507,0.000059041013,0.0000023961738,0.0000051543484,0.0000078217045,0.0000065444215,0.99709725,0.000056825338,0.0024283428,0.0003193569,0.0000034258985],"about_ca_topic_score_codex":0.0125294775,"about_ca_topic_score_gemma":0.006613341,"teacher_disagreement_score":0.0125294775,"about_ca_system_score_codex":0.0009627123,"about_ca_system_score_gemma":0.00091204693,"threshold_uncertainty_score":0.024913132},"labels":[],"label_agreement":null},{"id":"W4285150843","doi":"10.1109/tii.2022.3178429","title":"A Multilateral Transactive Energy Framework of Hybrid Charging Stations for Low-Carbon Energy-Transport Nexus","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":27,"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 Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Renewable energy; Electricity; Computer science; Bidding; Nexus (standard); Environmental economics; Operations research; Economics; Engineering; Electrical engineering; Microeconomics","score_opus":0.012452129687268111,"score_gpt":0.20799700588614423,"score_spread":0.19554487619887612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285150843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019705895,0.0006339457,0.87927115,0.0022467622,0.00018305355,0.00014614566,0.00017207034,0.00014816763,0.097492725],"genre_scores_gemma":[0.85599226,0.00075257977,0.1134817,0.00029953118,0.000119181524,0.0003294846,0.000118728996,0.00008419676,0.028822245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886584,0.00048254608,0.000036621455,0.00023306526,0.00023733455,0.00014456468],"domain_scores_gemma":[0.99956506,0.00013046485,0.000052480573,0.000059434886,0.000107530745,0.00008507355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015608297,0.00091460143,0.00068661955,0.00054546114,0.0014153098,0.0028730333,0.002891263,0.002111123,0.011144792],"category_scores_gemma":[0.0013195003,0.00049806375,0.0013160727,0.00074409525,0.0020222613,0.00380515,0.0030099053,0.0021626574,0.0009548927],"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":[0.000022492994,0.000027581182,0.000103985236,0.000028328794,0.000015065581,0.000184434,0.00007544099,0.14466788,0.00041513823,0.8490826,0.0009714959,0.00440565],"study_design_scores_gemma":[0.00003506598,0.00004310923,0.00007130601,0.00002476313,0.000018448221,0.00008288256,0.00012607552,0.61117977,0.0002912554,0.37855554,0.009549319,0.000022484555],"about_ca_topic_score_codex":0.005876072,"about_ca_topic_score_gemma":0.0064679557,"teacher_disagreement_score":0.011144792,"about_ca_system_score_codex":0.002820957,"about_ca_system_score_gemma":0.002280006,"threshold_uncertainty_score":0.037283003},"labels":[],"label_agreement":null},{"id":"W4285160738","doi":"10.2139/ssrn.4147663","title":"From Curtailed Renewable Energy to Green Hydrogen: Infrastructure Planning for Hydrogen Fuel-Cell Vehicles","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Renewable energy; Hydrogen fuel; Fuel cells; Hydrogen vehicle; Hydrogen; Business; Green vehicle; Natural resource economics; Environmental science; Waste management; Environmental economics; Engineering; Automotive engineering; Economics; Chemistry; Fuel efficiency; Chemical engineering; Electrical engineering","score_opus":0.0040122922778927095,"score_gpt":0.19208144623977566,"score_spread":0.18806915396188295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285160738","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14368382,0.018315466,0.2553343,0.08780322,0.0015060474,0.0004834619,0.0028305931,0.00083674525,0.48920634],"genre_scores_gemma":[0.96296096,0.0051745437,0.013987639,0.00070347416,0.00010417869,0.00008756585,0.00043201956,0.00008819299,0.016461471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996025,0.00012287921,0.000008417314,0.00004464482,0.00010163066,0.00011986079],"domain_scores_gemma":[0.999602,0.00011371511,0.000034573855,0.000017552418,0.00011877156,0.00011333715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044143887,0.00053951406,0.00031726915,0.00047254667,0.0006485679,0.0029695528,0.0011063769,0.0017967229,0.010044675],"category_scores_gemma":[0.001494182,0.0003418426,0.00034226195,0.00066654064,0.00085126015,0.0031430752,0.0015653758,0.0018471524,0.0008555924],"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":[0.00019490701,0.00011852464,0.001205364,0.00065658026,0.00005791135,0.00053357,0.00037626678,0.45241937,0.0029296593,0.36955738,0.03919669,0.13275379],"study_design_scores_gemma":[0.000043385953,0.00018504164,0.002489631,0.000538092,0.00005263542,0.00009714911,0.0032692582,0.28337312,0.0038153322,0.58525795,0.12079256,0.000085942454],"about_ca_topic_score_codex":0.023409296,"about_ca_topic_score_gemma":0.05009886,"teacher_disagreement_score":0.023409296,"about_ca_system_score_codex":0.0033098985,"about_ca_system_score_gemma":0.006484776,"threshold_uncertainty_score":0.0465461},"labels":[],"label_agreement":null},{"id":"W4285270969","doi":"10.2991/aebmr.k.220405.143","title":"Research on Marketing Strategy of New energy Vehicles in China","year":2022,"lang":"en","type":"article","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Business; Computer science; Political science","score_opus":0.020548404810014714,"score_gpt":0.29505312704550124,"score_spread":0.2745047222354865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285270969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674924,0.00077113544,0.00031764506,0.0007718311,0.000012694622,0.00006937115,0.000041596842,0.000008923395,0.030514374],"genre_scores_gemma":[0.99237293,0.00064564025,0.0001608284,0.000060385297,0.000005698062,0.0000155568,0.000040456034,0.0000021426667,0.0066963225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993537,0.000098252945,0.000036279544,0.000083759514,0.00021358755,0.00021437915],"domain_scores_gemma":[0.99942625,0.00012875666,0.00011683171,0.000013333447,0.0001786655,0.00013615753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091518945,0.00032869267,0.00022953669,0.002482156,0.0019402556,0.0027703291,0.00051652256,0.0005712136,0.0044482574],"category_scores_gemma":[0.0009774286,0.00016343789,0.00040873335,0.002697405,0.0006703176,0.002128033,0.0006152956,0.00035887872,0.0002016907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013499253,0.00066070753,0.5857865,0.00077021547,0.0001561723,0.003931082,0.09227987,0.004057682,0.005510091,0.09616087,0.0060650036,0.20448694],"study_design_scores_gemma":[0.00002462983,0.00031802093,0.80667293,0.0002827342,0.0001155286,0.00036922048,0.111276075,0.017080652,0.0018959,0.0067890035,0.05510366,0.000071660936],"about_ca_topic_score_codex":0.058075614,"about_ca_topic_score_gemma":0.057449445,"teacher_disagreement_score":0.058075614,"about_ca_system_score_codex":0.010912106,"about_ca_system_score_gemma":0.007049856,"threshold_uncertainty_score":0.11547512},"labels":[],"label_agreement":null},{"id":"W4285297197","doi":"10.2139/ssrn.4119549","title":"Differential License Plate Pricing And Electric Vehicle Adoption in Shanghai, China","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","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 Calgary","funders":"","keywords":"License; China; Business; Differential (mechanical device); Electric vehicle; Industrial organization; Transport engineering; Geography; Engineering; Computer science; Aerospace engineering; Physics","score_opus":0.0026668160305212745,"score_gpt":0.17642177268244508,"score_spread":0.1737549566519238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285297197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916124,0.00011308758,0.000023227632,0.000091207294,0.0000035752882,0.0000013750575,0.00016232219,0.0000044953094,0.00043950698],"genre_scores_gemma":[0.99945074,0.00004020492,0.0000057808325,0.000008803427,0.000002672055,6.191028e-7,0.00013020643,6.556776e-7,0.00036043394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996051,0.0000640363,0.00003094624,0.000060752325,0.00007025912,0.00016881055],"domain_scores_gemma":[0.9978442,0.00033512688,0.00092611654,0.000066783294,0.00026795935,0.00055968936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003748803,0.0002794064,0.00023116874,0.0013192401,0.0004188905,0.0011494297,0.00034783158,0.00034505676,0.0023629474],"category_scores_gemma":[0.0010285832,0.00017179876,0.0004036918,0.0023006476,0.0005584198,0.00046593026,0.00061364006,0.0005377639,0.00021878816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058650257,0.000039666247,0.99580586,0.000012682314,0.000054503653,0.00031694994,0.00045516778,0.00051372877,0.00019304693,0.0004802205,0.00030689067,0.0017627585],"study_design_scores_gemma":[0.000004783579,0.000037683505,0.99738735,0.0000043601276,0.000028911301,0.000042903222,0.001136807,0.0009024832,0.00007206581,0.000063860905,0.00031203398,0.0000068126215],"about_ca_topic_score_codex":0.18925008,"about_ca_topic_score_gemma":0.22218947,"teacher_disagreement_score":0.18925008,"about_ca_system_score_codex":0.0019373447,"about_ca_system_score_gemma":0.0016747429,"threshold_uncertainty_score":0.37629706},"labels":[],"label_agreement":null},{"id":"W4288061934","doi":"10.1049/icp.2022.0682","title":"Utility-scale energy storage system for managing EV load in connected distribution circuits","year":2022,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electronic circuit; Software deployment; Power (physics); Peak load; Computer science; Reliability engineering; Automotive engineering; Electrical engineering; Engineering","score_opus":0.008964345932717197,"score_gpt":0.19148627552279546,"score_spread":0.18252192959007826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288061934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68425584,0.0007919067,0.29590157,0.0003617483,0.000078031255,0.00015818722,0.0002757594,0.0012363081,0.01694063],"genre_scores_gemma":[0.9969668,0.000053419986,0.0021110654,0.000008468253,0.0000029857883,0.000008094184,0.000024375162,0.0000027700303,0.0008221269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999286,0.000022191436,0.0000036251683,0.000013628893,0.000018556288,0.000013462329],"domain_scores_gemma":[0.9999163,0.000019551388,0.000014081691,0.000008070179,0.00003255162,0.000009426065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010006772,0.0002784432,0.00025313222,0.0001781707,0.00032015174,0.00039717543,0.00068681553,0.00022166246,0.0019497065],"category_scores_gemma":[0.00019639189,0.00011682171,0.0001235276,0.00031893956,0.0001704622,0.0004296557,0.00027774193,0.00018270515,0.000274832],"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":[0.00046001837,0.00023612427,0.006398431,0.00018880305,0.000053726508,0.00054650835,0.00008028752,0.848147,0.032479893,0.005202875,0.004101992,0.10210428],"study_design_scores_gemma":[0.000025039342,0.00014176557,0.0009737724,0.000006219015,0.000023900087,0.000068140886,0.00005968106,0.99221414,0.004309845,0.0008814575,0.0012896034,0.000006470794],"about_ca_topic_score_codex":0.004580497,"about_ca_topic_score_gemma":0.0114085255,"teacher_disagreement_score":0.004580497,"about_ca_system_score_codex":0.0005289435,"about_ca_system_score_gemma":0.00046958664,"threshold_uncertainty_score":0.009107649},"labels":[],"label_agreement":null},{"id":"W4288751129","doi":"10.5539/ijms.v14n2p27","title":"Factors Influence the Purchase Intention of Electric Vehicles in Egypt","year":2022,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Theory of planned behavior; Popularity; Business; Emerging markets; Marketing; Market penetration; Conceptual framework; Control (management); Psychology; Economics","score_opus":0.012308366034725703,"score_gpt":0.25527101494523624,"score_spread":0.24296264891051053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288751129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911207,0.000058289963,0.000017034434,0.000052388546,0.0000010502214,0.0000035899434,0.000032919354,7.477844e-7,0.00072193914],"genre_scores_gemma":[0.9992052,0.00010247341,0.00003010992,0.000015994172,0.0000013199987,0.0000022016025,0.00006183011,6.718582e-7,0.0005802646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999821,0.000038194572,0.00002295974,0.000020645655,0.000052313648,0.00004483568],"domain_scores_gemma":[0.99925405,0.0002322803,0.00024448975,0.000029792274,0.00014930857,0.00009018505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043529892,0.00014610631,0.00014565646,0.00047193354,0.00029867687,0.00079393183,0.0001524985,0.00026659222,0.0034723452],"category_scores_gemma":[0.0014928529,0.00013538981,0.00044802847,0.0005275767,0.00021454586,0.0002897926,0.00028951286,0.00038517674,0.0003257745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058835747,0.00018653134,0.99315417,0.000022908183,0.000038184404,0.00012475382,0.0011401871,0.00007883033,0.00023447891,0.000104621424,0.0001390823,0.004717328],"study_design_scores_gemma":[0.0000035324542,0.0000552445,0.9954041,0.000017994165,0.000025623129,0.00006062979,0.0035678842,0.000361137,0.000113542286,0.000039033697,0.0003466325,0.0000045218926],"about_ca_topic_score_codex":0.027999194,"about_ca_topic_score_gemma":0.025857005,"teacher_disagreement_score":0.027999194,"about_ca_system_score_codex":0.0005760855,"about_ca_system_score_gemma":0.00060952187,"threshold_uncertainty_score":0.055672467},"labels":[],"label_agreement":null},{"id":"W4290673075","doi":"10.1155/2022/4372168","title":"Charging-Related State Prediction for Electric Vehicles Using the Deep Learning Model","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Battery (electricity); State of charge; Trajectory; Sensitivity (control systems); Computer science; Battery capacity; Electric vehicle; Power (physics); Simulation; Artificial intelligence; Engineering","score_opus":0.005408939762853918,"score_gpt":0.20600348165770013,"score_spread":0.2005945418948462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290673075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5400309,0.0014517278,0.44762883,0.0010035245,0.00021623378,0.000059681515,0.0015339239,0.0025111933,0.0055639185],"genre_scores_gemma":[0.9856405,0.00019637086,0.010652755,0.00009577107,0.000021167398,0.000034275243,0.0011429142,0.000024299852,0.0021919366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998826,0.000016996435,0.000007532375,0.00004078722,0.000019826173,0.00003234641],"domain_scores_gemma":[0.9998153,0.000066737906,0.000020741449,0.000014773286,0.00006635516,0.000016113145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029310054,0.0007848772,0.00045942454,0.00041306796,0.00022905332,0.00041512598,0.00080683175,0.00053856766,0.0012351708],"category_scores_gemma":[0.00084252557,0.00033525936,0.0005176991,0.00040667952,0.00018191627,0.0006914635,0.00054609036,0.0012182646,0.00031819183],"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":[0.00012313174,0.0001277566,0.00674114,0.0000384971,0.00004644633,0.00008063065,0.000031174266,0.9142971,0.0013730191,0.00090273074,0.0023027463,0.07393578],"study_design_scores_gemma":[0.0000012885349,0.0000048303864,0.00019570765,0.0000011618307,0.0000018190831,0.0000017495034,0.0000023186442,0.9994103,0.00013475338,0.00019974395,0.000045102264,0.0000012785148],"about_ca_topic_score_codex":0.035916876,"about_ca_topic_score_gemma":0.03358473,"teacher_disagreement_score":0.035916876,"about_ca_system_score_codex":0.0006883647,"about_ca_system_score_gemma":0.0009321136,"threshold_uncertainty_score":0.0714156},"labels":[],"label_agreement":null},{"id":"W4292387292","doi":"10.1109/tte.2022.3200030","title":"Maximizing Driving Range for Fuel Cell Range Extender Vehicles With Fixed Energy Storage Costs","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive engineering; Driving range; Battery (electricity); Range (aeronautics); Electric vehicle; Fuel cells; Driving cycle; Energy storage; Computer science; Fuel efficiency; Miles per gallon gasoline equivalent; Battery electric vehicle; Engineering; Green vehicle; Power (physics); Aerospace engineering","score_opus":0.006630452500840945,"score_gpt":0.18694784846985302,"score_spread":0.18031739596901208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292387292","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44836393,0.0013445764,0.5279753,0.00024974023,0.000034900524,0.00012568534,0.00011125274,0.00043848748,0.02135596],"genre_scores_gemma":[0.97794366,0.00019692683,0.019868745,0.000023418546,0.000006345053,0.0000348614,0.00004443237,0.000024989658,0.001856795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985826,0.000025862655,0.0000037651535,0.000029837682,0.0000475259,0.00003464643],"domain_scores_gemma":[0.9998759,0.000052265157,0.000026764197,0.000009445742,0.000024849289,0.000010769017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000214882,0.0006175952,0.00035890355,0.0003944231,0.00023959843,0.00057867274,0.00055095105,0.00036104737,0.0011764949],"category_scores_gemma":[0.0006197128,0.00027523897,0.00031543328,0.00029193258,0.00021961557,0.0006970496,0.00039933127,0.0003089295,0.00022347453],"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":[0.00013225905,0.000094977055,0.0012281114,0.000108187436,0.000025312498,0.00011776237,0.000060332466,0.91712755,0.024880264,0.004698281,0.00046353633,0.051063467],"study_design_scores_gemma":[0.00001774231,0.00028394625,0.00081227935,0.000010514486,0.00002185332,0.00007161152,0.000054584532,0.98343766,0.010530986,0.002702687,0.002038296,0.000017892724],"about_ca_topic_score_codex":0.002466062,"about_ca_topic_score_gemma":0.004022952,"teacher_disagreement_score":0.002466062,"about_ca_system_score_codex":0.00038808628,"about_ca_system_score_gemma":0.00043440727,"threshold_uncertainty_score":0.0049034357},"labels":[],"label_agreement":null},{"id":"W4292388085","doi":"10.1109/eeeic/icpseurope54979.2022.9854643","title":"Different Demand for Charging Infrastructure along a Stretch of Highway: Italian Case Study","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&amp;CPS Europe)","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":"Software deployment; Electric vehicle; Queue; Charging station; Computer science; Transport engineering; Software; Business model; Simulation software; Automotive engineering; Business; Engineering; Computer network","score_opus":0.029458907975512788,"score_gpt":0.228062549226527,"score_spread":0.1986036412510142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292388085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828377,0.00015953589,0.002964444,0.0004494489,0.000025542373,0.00014537356,0.0010778419,0.00009469684,0.01224543],"genre_scores_gemma":[0.9944905,0.00018288493,0.0016284197,0.000037188576,0.000016773558,0.00006886413,0.0007352533,0.000019052866,0.0028210927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99905545,0.0003440752,0.000043366093,0.00012743403,0.00012189506,0.00030787717],"domain_scores_gemma":[0.9982317,0.0009528145,0.0002053562,0.00016515664,0.00021263439,0.00023236198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009174621,0.0008569938,0.00045389708,0.001422097,0.0010788214,0.0013783382,0.0015595967,0.0020641652,0.004072806],"category_scores_gemma":[0.0022440923,0.00031311216,0.0012126375,0.0028125662,0.000937918,0.0009361477,0.0007173414,0.00068967167,0.00052188075],"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":[0.0012332896,0.003416804,0.17584522,0.00062220055,0.00036384683,0.02619561,0.002056716,0.72820264,0.0052502337,0.014901808,0.014945273,0.026966374],"study_design_scores_gemma":[0.00036415324,0.0014392242,0.13883878,0.000116574214,0.0004531848,0.004391739,0.009858451,0.81444514,0.00515821,0.003929991,0.020796413,0.00020819173],"about_ca_topic_score_codex":0.07734188,"about_ca_topic_score_gemma":0.06514771,"teacher_disagreement_score":0.07734188,"about_ca_system_score_codex":0.004738536,"about_ca_system_score_gemma":0.0011083579,"threshold_uncertainty_score":0.15378338},"labels":[],"label_agreement":null},{"id":"W4292635819","doi":"","title":"The smart charging stations deployment: a stepping stone to make smart city a reality?","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Software deployment; Stepping stone; Computer science; Operating system","score_opus":0.014325568755313744,"score_gpt":0.23018104609477097,"score_spread":0.21585547733945723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292635819","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028740348,0.022510778,0.12462624,0.60981566,0.018888602,0.00009609274,0.0014095258,0.0023531637,0.19155961],"genre_scores_gemma":[0.71810955,0.04793886,0.056850478,0.059668932,0.0118905185,0.00013929426,0.0020221276,0.0008848744,0.10249541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998978,0.0002753987,0.000029537474,0.00016695017,0.00033263554,0.000217506],"domain_scores_gemma":[0.99721646,0.00070095074,0.00016903308,0.00039693428,0.0007803933,0.000736206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019098151,0.00073858234,0.0006646915,0.0004700121,0.0007679939,0.0061940206,0.0016023475,0.0054362165,0.03336051],"category_scores_gemma":[0.0057482813,0.0003303325,0.00045957393,0.0011429888,0.0020121394,0.019940168,0.003544184,0.005191835,0.009933089],"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":[0.00018180786,0.000116684496,0.0019061188,0.0006048555,0.000057169054,0.00033041477,0.00049963966,0.005396695,0.0044564065,0.41223937,0.33457306,0.23963775],"study_design_scores_gemma":[0.000035999736,0.00010212154,0.0013874939,0.00025651423,0.000033071938,0.0003604278,0.0021349795,0.008485064,0.0017139344,0.21465498,0.7707739,0.000061451676],"about_ca_topic_score_codex":0.0024063406,"about_ca_topic_score_gemma":0.0027409834,"teacher_disagreement_score":0.03336051,"about_ca_system_score_codex":0.0013433147,"about_ca_system_score_gemma":0.0019153749,"threshold_uncertainty_score":0.11160201},"labels":[],"label_agreement":null},{"id":"W4292651077","doi":"10.2139/ssrn.4333944","title":"Matheuristics for a Multi-Day Electric Bus Assignment and Overnight Recharge Scheduling Problem","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Groundwater recharge; Computer science; Scheduling (production processes); Operations research; Operations management; Engineering","score_opus":0.01779476396087918,"score_gpt":0.24414008607312201,"score_spread":0.22634532211224284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292651077","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13629648,0.0014125137,0.80584073,0.0054519353,0.00026553066,0.000405675,0.00126702,0.00026009677,0.04880004],"genre_scores_gemma":[0.770762,0.0018429444,0.1874335,0.0008214575,0.0007457543,0.00060009107,0.001458261,0.00032196805,0.036014035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991116,0.00038324847,0.00003604293,0.00015909987,0.00014295173,0.0001670018],"domain_scores_gemma":[0.994605,0.004191238,0.00042233974,0.00014035382,0.00027801906,0.00036299689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020240934,0.001246474,0.001956407,0.0014587728,0.0010889756,0.0027449618,0.0021442324,0.0024843225,0.011262388],"category_scores_gemma":[0.009562953,0.0008024528,0.001915074,0.0013940126,0.0015364315,0.0030368129,0.002252445,0.0027385617,0.00072550273],"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":[0.00021290063,0.00018168792,0.0012615215,0.00025830083,0.00007860754,0.00020530255,0.0001774226,0.90415585,0.00088987115,0.07193782,0.0062017087,0.014438952],"study_design_scores_gemma":[0.00002402887,0.000038147966,0.00022751869,0.000012734525,0.000011965672,0.000034007964,0.00005162054,0.9440084,0.00010858299,0.054757316,0.00071559363,0.000010088817],"about_ca_topic_score_codex":0.011943123,"about_ca_topic_score_gemma":0.00877375,"teacher_disagreement_score":0.011943123,"about_ca_system_score_codex":0.0022932421,"about_ca_system_score_gemma":0.0022293006,"threshold_uncertainty_score":0.037676454},"labels":[],"label_agreement":null},{"id":"W4293096002","doi":"10.2139/ssrn.4199827","title":"Evaluating Environmental Benefits from Driving Electric Vehicles: The Case of Shanghai, China","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"China; Green vehicle; Business; Transport engineering; Environmental science; Engineering; Automotive engineering; Geography; Fuel efficiency","score_opus":0.005993503764185165,"score_gpt":0.21181153579733983,"score_spread":0.20581803203315466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293096002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699867,0.00009363709,0.00018118316,0.000118826225,0.000003757193,0.000016153515,0.00012137388,0.000005611147,0.0024606884],"genre_scores_gemma":[0.9991223,0.000076452525,0.00011889493,0.000008826767,0.0000019988738,0.0000039380157,0.000084829655,0.0000022111342,0.00058054616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993383,0.00024453626,0.000018355966,0.000055135086,0.000092686525,0.00025091993],"domain_scores_gemma":[0.9984559,0.0008396318,0.00011327373,0.00006110531,0.00028463436,0.0002454694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011283734,0.00071321806,0.00045939678,0.0012972313,0.0009939636,0.0022755296,0.0008094705,0.0010370159,0.0022861266],"category_scores_gemma":[0.0023833264,0.00025135066,0.0006856282,0.0020116647,0.0013242617,0.0010714419,0.00090920663,0.00062623626,0.00010694843],"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":[0.0018612891,0.0012858453,0.38159445,0.0004278724,0.000574203,0.013369388,0.0027574392,0.54585016,0.0042838994,0.0166395,0.0023999647,0.028955989],"study_design_scores_gemma":[0.0003044185,0.0015663086,0.4628651,0.00011758118,0.0009093282,0.0005783526,0.036272343,0.48050785,0.0044450746,0.00691419,0.005311361,0.00020807683],"about_ca_topic_score_codex":0.414742,"about_ca_topic_score_gemma":0.44982123,"teacher_disagreement_score":0.414742,"about_ca_system_score_codex":0.00858547,"about_ca_system_score_gemma":0.0040919348,"threshold_uncertainty_score":0.82465583},"labels":[],"label_agreement":null},{"id":"W4294620474","doi":"","title":"Assessment of EV batteries and application to RandD planning","year":2020,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.0066965688613285545,"score_gpt":0.23083610228763102,"score_spread":0.22413953342630247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294620474","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09500533,0.0045283204,0.17679861,0.004494516,0.00020562456,0.0025257508,0.006215412,0.001519409,0.70870703],"genre_scores_gemma":[0.66900665,0.0070305257,0.25345436,0.00030224636,0.00004513469,0.0011031678,0.004963311,0.00023935527,0.06385526],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99688977,0.0013762312,0.0001552802,0.00018313865,0.0011938906,0.00020168533],"domain_scores_gemma":[0.99799263,0.00046861471,0.00015529284,0.00013288856,0.0011609138,0.00008969652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049487255,0.0006170139,0.0003550241,0.002820359,0.0009332982,0.004073237,0.0012278879,0.00065805303,0.010317566],"category_scores_gemma":[0.0066972338,0.00040474144,0.00045004155,0.0021395332,0.00058776536,0.0020470931,0.001392278,0.00062054384,0.0016029396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026106808,0.00018665346,0.011813457,0.00065295247,0.000039655934,0.00043072,0.00068734935,0.3093676,0.003288726,0.10597238,0.039855257,0.52744424],"study_design_scores_gemma":[0.000098056815,0.00079164794,0.015556572,0.001070689,0.00005275758,0.0005158332,0.0051823035,0.26172024,0.017434556,0.06759087,0.6297995,0.0001869247],"about_ca_topic_score_codex":0.025306746,"about_ca_topic_score_gemma":0.047500946,"teacher_disagreement_score":0.025306746,"about_ca_system_score_codex":0.005521488,"about_ca_system_score_gemma":0.00661675,"threshold_uncertainty_score":0.050318897},"labels":[],"label_agreement":null},{"id":"W4295804251","doi":"10.20944/preprints202209.0174.v1","title":"Open-source Photovoltaic - Electrical Vehicle Carport Designs","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Roof; Span (engineering); Automotive engineering; Environmental science; Parking lot; Photovoltaics; Rooftop photovoltaic power station; Solar energy; Computer science; Electrical engineering; Engineering; Civil engineering; Voltage; Maximum power point tracking","score_opus":0.07157717065055268,"score_gpt":0.3019620592783157,"score_spread":0.23038488862776302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295804251","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17875715,0.0011571583,0.46705326,0.00026567653,0.0005089179,0.000781923,0.004049092,0.008876155,0.33855057],"genre_scores_gemma":[0.7051121,0.00093186734,0.15338865,0.00009490101,0.0000630083,0.0009221788,0.005111101,0.0015495934,0.13282646],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999666,0.000026971587,0.000011692254,0.000049739614,0.00019015298,0.000055388304],"domain_scores_gemma":[0.99975365,0.000021869748,0.000015931351,0.00006262821,0.00012223772,0.000023562823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026566206,0.0005652598,0.0003263418,0.00068345416,0.0003446317,0.00067599973,0.0018209108,0.00070663186,0.028956043],"category_scores_gemma":[0.0005451509,0.0002697064,0.00045389493,0.0007174005,0.00018993986,0.0008513701,0.0006873659,0.000446316,0.00903782],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080233533,0.00067851134,0.002361183,0.0013171808,0.00010068805,0.00067841687,0.00015802354,0.30152452,0.10717018,0.04385282,0.041289482,0.50006664],"study_design_scores_gemma":[0.00020991304,0.000805242,0.0042976616,0.00012221662,0.00009642486,0.0010431895,0.00020948268,0.5191894,0.118248805,0.018453784,0.3371697,0.00015411117],"about_ca_topic_score_codex":0.00094814145,"about_ca_topic_score_gemma":0.0019999994,"teacher_disagreement_score":0.028956043,"about_ca_system_score_codex":0.0005252145,"about_ca_system_score_gemma":0.0005003461,"threshold_uncertainty_score":0.09686768},"labels":[],"label_agreement":null},{"id":"W4296706857","doi":"10.1109/tits.2022.3205596","title":"Mobile Charging Station Placements in Internet of Electric Vehicles: A Federated Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"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":"National Natural Science Foundation of China","keywords":"Idle; Upload; Charging station; Computer science; Enhanced Data Rates for GSM Evolution; The Internet; Real-time computing; Electric vehicle; Simulation; Computer network; Telecommunications; Operating system","score_opus":0.010979317377906979,"score_gpt":0.2167140814595987,"score_spread":0.20573476408169172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296706857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099043466,0.00050415803,0.89673287,0.00042061254,0.00007354827,0.00006412132,0.000090436944,0.0008940876,0.002176616],"genre_scores_gemma":[0.9495051,0.0001307124,0.04809538,0.00012019156,0.00003188707,0.000044055378,0.0001265417,0.000034361085,0.0019117879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932206,0.00017386283,0.00003634374,0.00021690925,0.000105363164,0.00014559597],"domain_scores_gemma":[0.9988111,0.00051029236,0.00017353728,0.0001265733,0.00024949718,0.00012907195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013178895,0.0008393107,0.0013641684,0.0007437982,0.0005883653,0.0010790059,0.0021435104,0.0013218366,0.0013141838],"category_scores_gemma":[0.0026891758,0.0005256177,0.0006635946,0.0007982445,0.00070556323,0.0014065359,0.0010923669,0.0010055845,0.00025322687],"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":[0.000070738344,0.000068280715,0.0012823856,0.000020936053,0.000024306684,0.000054973778,0.000032893087,0.95983297,0.0003432203,0.0012373812,0.00040605926,0.036625918],"study_design_scores_gemma":[0.00000467828,0.000015441115,0.00011073489,0.0000016696678,0.0000047959725,0.000008965579,0.000010836264,0.99866307,0.0001349984,0.0009442116,0.00009784349,0.0000027052654],"about_ca_topic_score_codex":0.011751128,"about_ca_topic_score_gemma":0.007161612,"teacher_disagreement_score":0.011751128,"about_ca_system_score_codex":0.0012959451,"about_ca_system_score_gemma":0.0013465463,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4297058705","doi":"10.1016/j.trd.2022.103446","title":"Transit electrification state of the art: A machine-learning based text mining approach","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Latent Dirichlet allocation; Topic model; Data science; Key (lock); Electrification; Computer science; Engineering; Information retrieval; Computer security","score_opus":0.014761283733343565,"score_gpt":0.21085748842554175,"score_spread":0.19609620469219818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297058705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5965189,0.09992249,0.18467918,0.0108589195,0.0016202425,0.00047721458,0.07070949,0.005224053,0.029989507],"genre_scores_gemma":[0.7968173,0.02429236,0.09822939,0.00072662265,0.0010473179,0.0002232222,0.070074126,0.0001728153,0.008416842],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999158,0.00017098687,0.00013982411,0.00024870067,0.0002284111,0.00005399977],"domain_scores_gemma":[0.9964232,0.0025751987,0.00026978366,0.00015301809,0.0005167129,0.000062127096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014240261,0.00081203267,0.00075319526,0.0070533184,0.0004196923,0.0020304837,0.00089492556,0.0009417865,0.0019976366],"category_scores_gemma":[0.0039234385,0.00015244588,0.0009231164,0.0054432284,0.00029475358,0.0030385111,0.00039945063,0.0007800489,0.001283976],"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":[0.0003615579,0.00047373504,0.029504407,0.0026532041,0.00036706775,0.00027277018,0.00036042975,0.00974599,0.005217272,0.003965614,0.025198782,0.9218792],"study_design_scores_gemma":[0.00012244955,0.0008045758,0.1220249,0.0027163683,0.0018206545,0.001069954,0.0041195517,0.63514197,0.022486728,0.026349988,0.18313962,0.00020334794],"about_ca_topic_score_codex":0.0057147765,"about_ca_topic_score_gemma":0.0063433805,"teacher_disagreement_score":0.0070533184,"about_ca_system_score_codex":0.00046049946,"about_ca_system_score_gemma":0.0007433043,"threshold_uncertainty_score":0.0113630295},"labels":[],"label_agreement":null},{"id":"W4297384331","doi":"10.32479/ijeep.13271","title":"Impact of Electric Vehicle Adoption on Electricity Consumption and Generation: Evidence from California","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Economics and Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Norfolk General Hospital","funders":"U.S. Department of Energy","keywords":"Electricity; Incentive; Environmental economics; Consumption (sociology); Renewable energy; Electricity generation; Business; Electric vehicle; Electricity retailing; Electricity market; Natural resource economics; Economics; Engineering; Microeconomics; Power (physics); Electrical engineering","score_opus":0.01288211793527586,"score_gpt":0.24720940419192228,"score_spread":0.23432728625664642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297384331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870164,0.0019173437,0.000075868506,0.00047827564,0.000017380631,0.000012688988,0.0024305305,0.000012300958,0.008039092],"genre_scores_gemma":[0.99430484,0.0022255243,0.00009432795,0.00010842284,0.00001810993,0.000009336437,0.0024562853,0.0000053037743,0.00077776046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931824,0.00015678776,0.000042962263,0.00015429064,0.00022873461,0.00009898463],"domain_scores_gemma":[0.99461126,0.0019274714,0.0016867624,0.0002623947,0.001142118,0.00036994836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007620012,0.00014474032,0.00020690466,0.0009711342,0.00040094767,0.0010098226,0.00053867215,0.00031848834,0.0025667166],"category_scores_gemma":[0.0039001945,0.0002522538,0.00044327762,0.0022883585,0.0004955147,0.0004995486,0.0005476084,0.00068983703,0.00017976745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019761677,0.00024088281,0.9837716,0.00016135766,0.00036591265,0.00014945233,0.00030474117,0.0009269345,0.000107999585,0.0005286038,0.004691452,0.008553307],"study_design_scores_gemma":[0.000020443083,0.00006908647,0.99640924,0.00007206603,0.0001419026,0.000037697497,0.0005728434,0.00030246636,0.000076557786,0.00007570462,0.0022124427,0.000009619559],"about_ca_topic_score_codex":0.28795838,"about_ca_topic_score_gemma":0.40938228,"teacher_disagreement_score":0.28795838,"about_ca_system_score_codex":0.0013273464,"about_ca_system_score_gemma":0.00096293475,"threshold_uncertainty_score":0.5725646},"labels":[],"label_agreement":null},{"id":"W4297576832","doi":"10.1007/978-3-030-38948-2_107-1","title":"Zero-Emission Delivery for Logistics and Transportation","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","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":"University of British Columbia","funders":"","keywords":"Zero emission; Truck; Renewable energy; Engineering; Ground zero; Greenhouse gas; Fossil fuel; Transport engineering; Automotive engineering; Electrical engineering; Waste management","score_opus":0.009716796789467413,"score_gpt":0.18763287016205898,"score_spread":0.17791607337259158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297576832","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055307575,0.010198886,0.019763011,0.0014615305,0.0014791993,0.000032755306,0.0001164184,0.00018513891,0.96621],"genre_scores_gemma":[0.0040738545,0.007953688,0.0032449926,0.0004494476,0.00021821656,0.000022207561,0.000082788945,0.00016812689,0.98378664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997744,0.000029941782,0.0000059290924,0.000028405168,0.00014065152,0.000020722688],"domain_scores_gemma":[0.9999168,0.000032194373,0.0000043198966,0.000013213401,0.000028912153,0.0000045851893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022492513,0.0010587752,0.00033724317,0.0008142328,0.000999475,0.002396267,0.0008374366,0.0015101022,0.061975874],"category_scores_gemma":[0.00040185035,0.00032436193,0.0003162436,0.001074684,0.0008969308,0.0029417987,0.0011942447,0.0019824905,0.023209369],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013496208,0.000051652743,0.000048087284,0.00029084235,0.000004324068,0.000079863516,0.00024108989,0.0012282686,0.0014227201,0.5410365,0.26325446,0.19232869],"study_design_scores_gemma":[0.0000012521882,0.000009482734,0.0000713768,0.00012451518,0.0000023349646,0.00009743314,0.00007309176,0.00047918613,0.000586869,0.039553326,0.9589964,0.0000047803833],"about_ca_topic_score_codex":0.0026840016,"about_ca_topic_score_gemma":0.0061898706,"teacher_disagreement_score":0.061975874,"about_ca_system_score_codex":0.0015045782,"about_ca_system_score_gemma":0.0010499251,"threshold_uncertainty_score":0.20732993},"labels":[],"label_agreement":null},{"id":"W4297988273","doi":"10.2172/1889674","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: First Q2022","year":2022,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Otsuka Canada Pharmaceutical; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Renewable energy; Electricity; Transport engineering; Gallon (US); Compressed natural gas; Toll; Fossil fuel; Business; Environmental economics; Telecommunications; Engineering; Waste management; Electrical engineering; Economics","score_opus":0.009841461238473629,"score_gpt":0.2241039740487078,"score_spread":0.21426251281023417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297988273","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07373775,0.0020426584,0.0022961705,0.0025667264,0.00065843685,0.0001618632,0.79989535,0.0015859229,0.11705523],"genre_scores_gemma":[0.13353159,0.003707767,0.0027636471,0.0007468116,0.00018718872,0.00028867018,0.7899418,0.00036916655,0.06846345],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99935895,0.000023821754,0.0000307132,0.00007167464,0.0004163314,0.00009849081],"domain_scores_gemma":[0.99799675,0.0000790511,0.00022701766,0.000049760944,0.0015011085,0.00014635963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056206825,0.00062236487,0.00023143827,0.002794265,0.0004080299,0.0015083165,0.00039646804,0.00047287808,0.01221668],"category_scores_gemma":[0.0018405662,0.00029014284,0.00041408394,0.005136908,0.00008694257,0.0014866968,0.0007898171,0.0007048519,0.009264135],"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":[0.00011625756,0.0001137561,0.079575285,0.00052582234,0.000042260013,0.000120608434,0.00021706395,0.0020725683,0.0008955302,0.0018838558,0.84179014,0.07264682],"study_design_scores_gemma":[0.000021203257,0.000099765806,0.3560206,0.00028684875,0.00002966026,0.00021101176,0.00073365966,0.002078191,0.0022183189,0.00036930625,0.6378915,0.00003997285],"about_ca_topic_score_codex":0.117757514,"about_ca_topic_score_gemma":0.13845971,"teacher_disagreement_score":0.117757514,"about_ca_system_score_codex":0.001910927,"about_ca_system_score_gemma":0.0022539385,"threshold_uncertainty_score":0.23414415},"labels":[],"label_agreement":null},{"id":"W4298192493","doi":"","title":"Advanced scheduling protocol for electric vehicle home charging with time-of-use pricing","year":2013,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 de Sherbrooke; University of Ottawa","funders":"","keywords":"Computer science; Scheduling (production processes); Electric vehicle; Automotive engineering; Embedded system; Computer network; Engineering; Operations management; Power (physics)","score_opus":0.006031791739952526,"score_gpt":0.20136055384401294,"score_spread":0.19532876210406042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298192493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09769257,0.0018400733,0.8597911,0.0023545087,0.0018879771,0.0008637518,0.00046403304,0.0021649832,0.03294098],"genre_scores_gemma":[0.9616626,0.00034609,0.03046284,0.00024692246,0.00028552988,0.00017182408,0.00017336538,0.00006871695,0.006582176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984451,0.00042408117,0.00011928506,0.00018253303,0.00044563858,0.00038339698],"domain_scores_gemma":[0.99694604,0.0012588024,0.00021196678,0.00036288166,0.0010275197,0.00019274962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024863784,0.0006125619,0.0013151198,0.0008995857,0.001357126,0.002313906,0.0017345136,0.00087457104,0.0052001863],"category_scores_gemma":[0.0050724605,0.00030590195,0.0003872717,0.0012771544,0.0007314633,0.0016089956,0.0016187871,0.0014314321,0.0006844642],"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":[0.0029749235,0.00062941713,0.0014173344,0.0004546654,0.00016934944,0.0009000083,0.0006255699,0.3680668,0.020606406,0.28234434,0.04365664,0.27815455],"study_design_scores_gemma":[0.000099875484,0.00017750917,0.00024565536,0.000020477948,0.000036858866,0.00022237372,0.00008492206,0.9523773,0.0026948117,0.03630727,0.007701322,0.000031650605],"about_ca_topic_score_codex":0.0036583722,"about_ca_topic_score_gemma":0.0048156083,"teacher_disagreement_score":0.0052001863,"about_ca_system_score_codex":0.0020014988,"about_ca_system_score_gemma":0.0029048836,"threshold_uncertainty_score":0.01739633},"labels":[],"label_agreement":null},{"id":"W4300666516","doi":"","title":"Guidance model for EV charging service","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 de Sherbrooke; University of Ottawa","funders":"","keywords":"Computer science; Service (business); Business","score_opus":0.016594732814500784,"score_gpt":0.2219103480110332,"score_spread":0.20531561519653244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300666516","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061000574,0.0014308454,0.8363701,0.0038497592,0.00049239077,0.00015602307,0.0012433296,0.0008362634,0.094620764],"genre_scores_gemma":[0.9213739,0.00075163087,0.010820347,0.0003166413,0.00015230993,0.00013032444,0.00051096856,0.000145266,0.06579862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995402,0.00010569939,0.00001288407,0.0000860579,0.00012265088,0.00013258484],"domain_scores_gemma":[0.99938107,0.00022585253,0.0000582197,0.000026461013,0.0002517319,0.000056573303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053696486,0.00094527,0.0016021392,0.0007822068,0.00074863347,0.0018632006,0.0015893688,0.0032423015,0.012566013],"category_scores_gemma":[0.0022493065,0.0005516707,0.00090517645,0.0012024558,0.0008571612,0.001286714,0.0013648324,0.0018533072,0.0013482948],"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":[0.000024009141,0.000011042261,0.00012698473,0.000029529101,0.00000668546,0.000054396973,0.000026158788,0.98336625,0.00020296885,0.011777222,0.0015597033,0.0028149711],"study_design_scores_gemma":[0.0000062833756,0.000007307447,0.000043893426,0.000004876275,0.0000029709902,0.000010767743,0.00000976293,0.9966371,0.000027590539,0.0027720896,0.00047308186,0.0000042051515],"about_ca_topic_score_codex":0.05981793,"about_ca_topic_score_gemma":0.017049575,"teacher_disagreement_score":0.05981793,"about_ca_system_score_codex":0.0021322668,"about_ca_system_score_gemma":0.0021454378,"threshold_uncertainty_score":0.11893952},"labels":[],"label_agreement":null},{"id":"W4304140082","doi":"10.1155/2022/5879568","title":"Differentiated Speed Planning for Connected and Automated Electric Vehicles at Signalized Intersections considering Dynamic Wireless Power Transfer","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Automotive engineering; Computer science; Wireless; Wireless power transfer; Intersection (aeronautics); Mode (computer interface); Penetration rate; Electricity; Robustness (evolution); Transfer (computing); Simulation; Transport engineering; Engineering; Electrical engineering; Telecommunications","score_opus":0.005306648535981629,"score_gpt":0.2202021094405141,"score_spread":0.2148954609045325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304140082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18451303,0.00044902382,0.80312616,0.0003612146,0.00006636987,0.00010077953,0.00037416155,0.00046304613,0.010546166],"genre_scores_gemma":[0.9803498,0.00010831226,0.0171476,0.000027194652,0.0000061463807,0.00006214935,0.00019002089,0.000030164585,0.0020786368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997646,0.000046858597,0.000008209885,0.00006255608,0.000043448395,0.0000742738],"domain_scores_gemma":[0.9997292,0.00010493079,0.00004416186,0.000016980672,0.000067668014,0.00003696416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039222027,0.0008965211,0.00051829335,0.0004453449,0.00038920352,0.0009896975,0.0007510486,0.0008214978,0.0016541115],"category_scores_gemma":[0.0009019038,0.000563119,0.0006681398,0.00036433173,0.0004316513,0.0007417494,0.00069609063,0.0006659308,0.00018996667],"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":[0.000013264152,0.0000078484745,0.00040036286,0.000011373336,0.0000057769225,0.000027760318,0.000009579484,0.99544275,0.00028700655,0.0006591416,0.00011719407,0.0030179096],"study_design_scores_gemma":[0.0000026901068,0.000012185234,0.00013839247,0.0000016962586,0.000004045706,0.0000043708906,0.000009415399,0.9991345,0.00012841966,0.00041117574,0.00015114847,0.000002026092],"about_ca_topic_score_codex":0.0216299,"about_ca_topic_score_gemma":0.016169991,"teacher_disagreement_score":0.0216299,"about_ca_system_score_codex":0.0009525456,"about_ca_system_score_gemma":0.0014810538,"threshold_uncertainty_score":0.04300797},"labels":[],"label_agreement":null},{"id":"W4304172103","doi":"10.3390/su141912695","title":"Adoption and Growth of Fuel Cell Vehicles in China: The Case of BYD","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"China; Business; Sustainable development; Battery (electricity); Downstream (manufacturing); Scale (ratio); Upstream (networking); Industrial organization; Fuel cells; Environmental economics; Marketing; Computer science; Economics; Engineering; Political science","score_opus":0.002194061294776675,"score_gpt":0.18597753744693252,"score_spread":0.18378347615215584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304172103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976793,0.00005645037,0.000053543376,0.00018268828,0.0000012455893,0.000013989713,0.000016734635,0.0000014654333,0.001994678],"genre_scores_gemma":[0.9988481,0.00017470212,0.0001066412,0.000046040932,0.0000015983675,0.000010629836,0.000034618028,0.0000011375358,0.00077660487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785006,0.00048030907,0.00009627064,0.00021730829,0.00048058215,0.00087548565],"domain_scores_gemma":[0.997577,0.00069475744,0.00063654105,0.00017402512,0.0005483466,0.0003692765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020360763,0.0004614565,0.00040040436,0.002564014,0.00362362,0.002283747,0.0012012349,0.0012737389,0.0019245635],"category_scores_gemma":[0.0026610973,0.00024298647,0.0005549135,0.0044149333,0.0020725096,0.0016502906,0.0026559187,0.00074052607,0.00017807323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001791944,0.00046087336,0.7256174,0.00029323922,0.000057775276,0.021496436,0.17797282,0.00204611,0.006324527,0.018885646,0.0014858352,0.045180243],"study_design_scores_gemma":[0.00004606051,0.00037184672,0.6056309,0.00015856355,0.0000800884,0.001868868,0.35391578,0.011625147,0.0028382894,0.0018822014,0.021474978,0.00010732231],"about_ca_topic_score_codex":0.2655677,"about_ca_topic_score_gemma":0.18207239,"teacher_disagreement_score":0.2655677,"about_ca_system_score_codex":0.011043444,"about_ca_system_score_gemma":0.00588929,"threshold_uncertainty_score":0.52804387},"labels":[],"label_agreement":null},{"id":"W4304607358","doi":"10.1155/2022/3868388","title":"A Comprehensive Review on the Integration of Electric Vehicles for Sustainable Development","year":2022,"lang":"en","type":"review","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Electric vehicle; Risk analysis (engineering); Business; Sustainable transport; Environmental economics; Transport engineering; Industrial organization; Computer science; Sustainability; Engineering; Economics; Political science","score_opus":0.02141815943946023,"score_gpt":0.27532288258855947,"score_spread":0.25390472314909923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304607358","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017534391,0.9966768,0.00021186427,0.00041400193,0.0002892038,0.000014381333,0.000061666484,0.000008663568,0.0021481866],"genre_scores_gemma":[0.0014350476,0.99730504,0.0003054737,0.00025823628,0.00012218826,0.000011506709,0.00006504481,0.0000023862733,0.0004950338],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99936825,0.00015230203,0.00011666538,0.000086095715,0.00023305688,0.00004373884],"domain_scores_gemma":[0.9987596,0.00065267965,0.00018107943,0.000033920332,0.00032107704,0.00005162767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011324579,0.00094793463,0.0010526172,0.0032753774,0.0003777418,0.001341781,0.0007731557,0.0010389457,0.008649107],"category_scores_gemma":[0.0025264565,0.000321242,0.0012421753,0.0036961546,0.00026661257,0.0015325462,0.0007345942,0.0011738697,0.0014539944],"study_design_candidate":"systematic_review","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":[0.00006894668,0.00006152959,0.00027005034,0.16208577,0.00039338827,0.00022848853,0.00016975308,0.00059167464,0.0022408487,0.0074121878,0.05343138,0.77304614],"study_design_scores_gemma":[0.000009789583,0.00008738351,0.0008154303,0.026343646,0.0007132895,0.0003835329,0.00008161429,0.00007745176,0.00049791264,0.0014607686,0.9695119,0.000017259721],"about_ca_topic_score_codex":0.0019751065,"about_ca_topic_score_gemma":0.004940816,"teacher_disagreement_score":0.008649107,"about_ca_system_score_codex":0.00080989173,"about_ca_system_score_gemma":0.0041945707,"threshold_uncertainty_score":0.02893418},"labels":[],"label_agreement":null},{"id":"W4306404183","doi":"10.3390/wevj13100190","title":"Observational Evaluation of the Maximum Practical Utilization of Electric Vehicle DCFC Infrastructure","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Queue; Homogeneous; Queueing theory; Computer science; Fraction (chemistry); Power (physics); Automotive engineering; Event (particle physics); Duration (music); Environmental science; Engineering; Computer network; Chemistry; Mathematics; Physics","score_opus":0.032351592114159104,"score_gpt":0.27313923599922607,"score_spread":0.24078764388506696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306404183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947548,0.00006109691,0.0010563709,0.00004640478,0.0000042497963,0.000012889092,0.0013533043,0.00002491803,0.0026860847],"genre_scores_gemma":[0.9988691,0.000021579488,0.00017595079,0.0000046037926,0.000004463775,0.000006236403,0.0008014186,0.0000029641267,0.000113722796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943024,0.00014923351,0.000057181987,0.00012871152,0.00013989609,0.00009477721],"domain_scores_gemma":[0.99302965,0.0025557156,0.00203473,0.000791051,0.0011957944,0.00039316015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382295,0.00017227547,0.00021568337,0.0008265273,0.00034622077,0.0005659061,0.0005133198,0.00044716088,0.001081537],"category_scores_gemma":[0.0073586437,0.00013451758,0.00019858862,0.00092249044,0.00043376134,0.000772822,0.0005044994,0.00045804976,0.00022789398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043269573,0.00027623365,0.9583837,0.00008590361,0.00012470077,0.00025872875,0.0007484109,0.01670112,0.0048522586,0.0020739122,0.0014332576,0.014629081],"study_design_scores_gemma":[0.000008296481,0.00033251708,0.98406214,0.000013832803,0.000017593758,0.00014567465,0.00063621,0.010273699,0.0013922768,0.00058258243,0.0025161635,0.000019037001],"about_ca_topic_score_codex":0.0073715877,"about_ca_topic_score_gemma":0.009650554,"teacher_disagreement_score":0.0073715877,"about_ca_system_score_codex":0.00058990304,"about_ca_system_score_gemma":0.00030395127,"threshold_uncertainty_score":0.014657319},"labels":[],"label_agreement":null},{"id":"W4307442720","doi":"10.32920/21408576","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Electric vehicle; Distributed generation; Renewable energy; Automotive engineering; Voltage; Electricity generation; Computer science; Power (physics); Engineering; Electrical engineering","score_opus":0.013054770422589757,"score_gpt":0.202512337429341,"score_spread":0.18945756700675123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307442720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2355896,0.00022516631,0.7602892,0.00012601593,0.000020058771,0.00005505585,0.000077096964,0.00024019468,0.0033776595],"genre_scores_gemma":[0.98529804,0.000037704664,0.014209414,0.0000069133785,0.0000062074046,0.00001700536,0.000020028348,0.000010536116,0.00039416685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997094,0.00012069449,0.000009889158,0.00007110056,0.000039703693,0.000049180835],"domain_scores_gemma":[0.9990564,0.00058794813,0.00019453527,0.000045532568,0.00007395735,0.000041683812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062416354,0.0008215409,0.0005540206,0.00032431772,0.00021402077,0.00086050906,0.00051013095,0.0003699769,0.00063746277],"category_scores_gemma":[0.0018407002,0.00038640696,0.0002950353,0.00029214224,0.00039690346,0.00064946205,0.00047037762,0.00038179022,0.00007836111],"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":[0.000035992056,0.000011872327,0.00030496594,0.0000083984205,0.00000874858,0.000019319341,0.000009603874,0.99303657,0.00074433454,0.0007403432,0.00005382732,0.0050260364],"study_design_scores_gemma":[0.0000045403613,0.000018121289,0.00011656009,0.0000013214602,0.000004364283,0.000003896483,0.000006101292,0.9987997,0.00047240208,0.0005129791,0.00005804013,0.0000020254788],"about_ca_topic_score_codex":0.0051326333,"about_ca_topic_score_gemma":0.0036539254,"teacher_disagreement_score":0.0051326333,"about_ca_system_score_codex":0.0006731681,"about_ca_system_score_gemma":0.000562611,"threshold_uncertainty_score":0.010205567},"labels":[],"label_agreement":null},{"id":"W4307442765","doi":"10.32920/21408576.v1","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Electric vehicle; Distributed generation; Renewable energy; Automotive engineering; Electricity generation; Computer science; Voltage; Engineering; Power (physics); Electrical engineering","score_opus":0.013054770422589757,"score_gpt":0.202512337429341,"score_spread":0.18945756700675123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307442765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2355896,0.00022516631,0.7602892,0.00012601593,0.000020058771,0.00005505585,0.000077096964,0.00024019468,0.0033776595],"genre_scores_gemma":[0.98529804,0.000037704664,0.014209414,0.0000069133785,0.0000062074046,0.00001700536,0.000020028348,0.000010536116,0.00039416685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997094,0.00012069449,0.000009889158,0.00007110056,0.000039703693,0.000049180835],"domain_scores_gemma":[0.9990564,0.00058794813,0.00019453527,0.000045532568,0.00007395735,0.000041683812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062416354,0.0008215409,0.0005540206,0.00032431772,0.00021402077,0.00086050906,0.00051013095,0.0003699769,0.00063746277],"category_scores_gemma":[0.0018407002,0.00038640696,0.0002950353,0.00029214224,0.00039690346,0.00064946205,0.00047037762,0.00038179022,0.00007836111],"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":[0.000035992056,0.000011872327,0.00030496594,0.0000083984205,0.00000874858,0.000019319341,0.000009603874,0.99303657,0.00074433454,0.0007403432,0.00005382732,0.0050260364],"study_design_scores_gemma":[0.0000045403613,0.000018121289,0.00011656009,0.0000013214602,0.000004364283,0.000003896483,0.000006101292,0.9987997,0.00047240208,0.0005129791,0.00005804013,0.0000020254788],"about_ca_topic_score_codex":0.0051326333,"about_ca_topic_score_gemma":0.0036539254,"teacher_disagreement_score":0.0051326333,"about_ca_system_score_codex":0.0006731681,"about_ca_system_score_gemma":0.000562611,"threshold_uncertainty_score":0.010205567},"labels":[],"label_agreement":null},{"id":"W4307445420","doi":"10.32920/21408570","title":"Performance Analysis of LSTMs for Daily Individual EV Charging Behavior Prediction","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duration (music); Computer science; Term (time); Training set; Artificial intelligence; Machine learning; Real-time computing; Acoustics","score_opus":0.012650790243337677,"score_gpt":0.22681660825544572,"score_spread":0.21416581801210804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307445420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8216385,0.005669799,0.15638939,0.0017972736,0.00059388566,0.00007767714,0.001321632,0.005476649,0.0070352284],"genre_scores_gemma":[0.9798906,0.0004349214,0.017071512,0.00015792558,0.000044633867,0.000034534878,0.0009123306,0.000058595633,0.0013951212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993686,0.00017447522,0.00005445392,0.00015555603,0.00012855073,0.000118348806],"domain_scores_gemma":[0.99812967,0.0012239105,0.00010454931,0.00013375083,0.00033963582,0.000068466514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020932078,0.001306131,0.00070026924,0.0006375898,0.00035166414,0.000627895,0.0008553491,0.0011662246,0.0017395357],"category_scores_gemma":[0.0057059806,0.00028577528,0.00045901837,0.0005837877,0.00031486605,0.0014831384,0.0005841021,0.0013679529,0.0006104588],"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":[0.0010830536,0.0003611417,0.010765415,0.0002853944,0.00027719678,0.0001877732,0.00014344825,0.6197681,0.011057983,0.0009541417,0.00455747,0.35055897],"study_design_scores_gemma":[0.0000050557755,0.0000667079,0.00084421993,0.000008647668,0.000012684124,0.000016192203,0.000021813545,0.9957058,0.0028477674,0.0003104249,0.00015374094,0.0000069123107],"about_ca_topic_score_codex":0.015045032,"about_ca_topic_score_gemma":0.012138081,"teacher_disagreement_score":0.015045032,"about_ca_system_score_codex":0.00092776323,"about_ca_system_score_gemma":0.000896179,"threshold_uncertainty_score":0.029914975},"labels":[],"label_agreement":null},{"id":"W4307516496","doi":"","title":"First Feedback from a CPV Plant in a Nordic Location, Québec, Canada","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Computer science","score_opus":0.005025497832217789,"score_gpt":0.1673332402185232,"score_spread":0.1623077423863054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307516496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6969016,0.0017293832,0.0185484,0.0206233,0.0044711907,0.0007139916,0.019098157,0.0035373948,0.23437653],"genre_scores_gemma":[0.83099425,0.00027754775,0.003357635,0.0010641747,0.000121642195,0.000062515435,0.0023600133,0.00031988067,0.16144234],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9986241,0.00006945279,0.000021261685,0.00013566228,0.00091445376,0.00023503152],"domain_scores_gemma":[0.99429095,0.0005466944,0.00008763095,0.00015999263,0.0043809772,0.00053386495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922344,0.00065310963,0.0006807509,0.00062461995,0.0054369797,0.0021415153,0.0009212273,0.0021643692,0.01682594],"category_scores_gemma":[0.003322971,0.00032071842,0.00031308617,0.0007292465,0.0008580209,0.0006061349,0.0009881868,0.0024705164,0.00221548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004561008,0.0008687424,0.07548814,0.001469564,0.00026971314,0.02205777,0.0136219505,0.06536318,0.11023787,0.004307105,0.49406222,0.20769282],"study_design_scores_gemma":[0.000345684,0.0011655716,0.30999732,0.00054170936,0.00016357042,0.000888435,0.03391508,0.04475692,0.029265553,0.002718406,0.5758117,0.00043002202],"about_ca_topic_score_codex":0.8655629,"about_ca_topic_score_gemma":0.94634956,"teacher_disagreement_score":0.13443708,"about_ca_system_score_codex":0.01255943,"about_ca_system_score_gemma":0.012914836,"threshold_uncertainty_score":0.27045757},"labels":[],"label_agreement":null},{"id":"W4307526278","doi":"10.32920/21408570.v1","title":"Performance Analysis of LSTMs for Daily Individual EV Charging Behavior Prediction","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duration (music); Computer science; Term (time); Training set; Running time; Performance prediction; Artificial intelligence; Real-time computing; Simulation; Algorithm; Acoustics","score_opus":0.012650790243337677,"score_gpt":0.22681660825544572,"score_spread":0.21416581801210804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307526278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8216385,0.005669799,0.15638939,0.0017972736,0.00059388566,0.00007767714,0.001321632,0.005476649,0.0070352284],"genre_scores_gemma":[0.9798906,0.0004349214,0.017071512,0.00015792558,0.000044633867,0.000034534878,0.0009123306,0.000058595633,0.0013951212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993686,0.00017447522,0.00005445392,0.00015555603,0.00012855073,0.000118348806],"domain_scores_gemma":[0.99812967,0.0012239105,0.00010454931,0.00013375083,0.00033963582,0.000068466514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020932078,0.001306131,0.00070026924,0.0006375898,0.00035166414,0.000627895,0.0008553491,0.0011662246,0.0017395357],"category_scores_gemma":[0.0057059806,0.00028577528,0.00045901837,0.0005837877,0.00031486605,0.0014831384,0.0005841021,0.0013679529,0.0006104588],"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":[0.0010830536,0.0003611417,0.010765415,0.0002853944,0.00027719678,0.0001877732,0.00014344825,0.6197681,0.011057983,0.0009541417,0.00455747,0.35055897],"study_design_scores_gemma":[0.0000050557755,0.0000667079,0.00084421993,0.000008647668,0.000012684124,0.000016192203,0.000021813545,0.9957058,0.0028477674,0.0003104249,0.00015374094,0.0000069123107],"about_ca_topic_score_codex":0.015045032,"about_ca_topic_score_gemma":0.012138081,"teacher_disagreement_score":0.015045032,"about_ca_system_score_codex":0.00092776323,"about_ca_system_score_gemma":0.000896179,"threshold_uncertainty_score":0.029914975},"labels":[],"label_agreement":null},{"id":"W4307555824","doi":"10.3390/en15217919","title":"Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"","keywords":"Scheduling (production processes); Public transport; Grid; Crew scheduling; Computer science; Transport engineering; Operations research; Engineering; Operations management","score_opus":0.01464404396735422,"score_gpt":0.25546343070955163,"score_spread":0.2408193867421974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307555824","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004086851,0.99580365,0.0011641167,0.00037201605,0.00025222977,0.000010116331,0.000036192818,0.000012176538,0.0019409459],"genre_scores_gemma":[0.0031470605,0.99508154,0.00086574134,0.00011734364,0.00031333207,0.000009675009,0.000058668327,0.0000055791515,0.00040100404],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942905,0.00013485826,0.00008846962,0.00011187993,0.00018809999,0.00004750192],"domain_scores_gemma":[0.9968352,0.0021921347,0.00029687738,0.000054564778,0.00055042084,0.00007090257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010815638,0.0010912305,0.0011229154,0.0029457074,0.00042563476,0.002048277,0.001081006,0.0012982665,0.003951224],"category_scores_gemma":[0.0031455962,0.00058086106,0.0009948607,0.006908119,0.00042768626,0.0023892291,0.00062913017,0.0009826162,0.0010317502],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103571314,0.00015999636,0.0012457446,0.045759033,0.00027188074,0.0002672297,0.00030043354,0.008633759,0.0006866441,0.022147754,0.0359277,0.8844963],"study_design_scores_gemma":[0.000018472627,0.00023722708,0.002865817,0.020984448,0.0006648726,0.00092886033,0.0005757978,0.0042197253,0.00067112874,0.011666563,0.9570821,0.00008499645],"about_ca_topic_score_codex":0.0060072104,"about_ca_topic_score_gemma":0.0050936528,"teacher_disagreement_score":0.0060072104,"about_ca_system_score_codex":0.0010477987,"about_ca_system_score_gemma":0.0032198464,"threshold_uncertainty_score":0.013218164},"labels":[],"label_agreement":null},{"id":"W4307690754","doi":"10.1016/j.est.2022.105922","title":"Utility-scale energy storage system for load management under high penetration of electric vehicles: A marginal capacity value-based sizing approach","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sizing; Energy storage; Penetration (warfare); Reliability engineering; Computer science; Automotive engineering; Engineering; Environmental science; Operations research","score_opus":0.008678286154041332,"score_gpt":0.18348258883219387,"score_spread":0.17480430267815253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307690754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19575007,0.0009165265,0.77528954,0.00037798914,0.000088399924,0.00033294497,0.00046288638,0.0008390804,0.025942609],"genre_scores_gemma":[0.97854507,0.00010950657,0.018938327,0.00002624103,0.0000131176175,0.00004976136,0.000060598475,0.000032482396,0.0022249543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981326,0.000066521476,0.000009607019,0.000025525338,0.000059731632,0.000025359617],"domain_scores_gemma":[0.9998299,0.0000829171,0.000020552252,0.000011000156,0.000047734862,0.00000797588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037795719,0.0007476464,0.00087699265,0.0005096717,0.00047502836,0.0011000062,0.00074651185,0.00044146585,0.0034237257],"category_scores_gemma":[0.0005174914,0.0005177571,0.0004937478,0.00061466993,0.0003182607,0.00089297537,0.00035522183,0.0004756963,0.0002452308],"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":[0.00008704704,0.00003322328,0.00035134397,0.00007400561,0.000033021595,0.00005601846,0.000027202042,0.963773,0.0054293065,0.0030708762,0.0006060209,0.026458973],"study_design_scores_gemma":[0.000006797346,0.000028007478,0.00018688994,0.000004016309,0.0000147452565,0.000010705604,0.000016011902,0.99793553,0.00067596073,0.000875977,0.00024234304,0.0000029510124],"about_ca_topic_score_codex":0.007822526,"about_ca_topic_score_gemma":0.019906746,"teacher_disagreement_score":0.007822526,"about_ca_system_score_codex":0.00104574,"about_ca_system_score_gemma":0.0009840267,"threshold_uncertainty_score":0.015553951},"labels":[],"label_agreement":null},{"id":"W4307901664","doi":"10.1016/j.ijhydene.2022.09.238","title":"Energy management for solar-hydrogen microgrids with vehicle-to-grid and power-to-gas transactions","year":2022,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microgrid; Renewable energy; Energy storage; Automotive engineering; Power to gas; Electric vehicle; Computer science; Energy management; Distributed generation; Environmental science; Power (physics); Engineering; Electrical engineering; Energy (signal processing); Chemistry","score_opus":0.003235820779738698,"score_gpt":0.19056518797925207,"score_spread":0.18732936719951337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307901664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5404888,0.002584304,0.3994231,0.0012394122,0.000442922,0.00029143388,0.0005665151,0.0016377047,0.053325843],"genre_scores_gemma":[0.9947515,0.000093371804,0.0027083296,0.000018132601,0.000016469852,0.0000117329055,0.000046017256,0.0000120479,0.0023423466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999052,0.000019836569,0.000006972568,0.000024666911,0.000020424211,0.000023008672],"domain_scores_gemma":[0.9998939,0.000018929743,0.00001217459,0.000013113649,0.000048776674,0.000013150645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024905245,0.0004088503,0.00042528717,0.00018748772,0.0005350314,0.0008615304,0.0007104886,0.00029619987,0.0043744836],"category_scores_gemma":[0.00030830957,0.00014362574,0.00021879315,0.00028393508,0.00016893892,0.00088202715,0.0006130578,0.00026470813,0.0004438829],"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":[0.0009261496,0.0003324556,0.004830092,0.00033827362,0.00016956439,0.00057512487,0.00021004766,0.72382885,0.022010362,0.0099810185,0.010790938,0.22600713],"study_design_scores_gemma":[0.000021651238,0.00016292784,0.0018173114,0.000013806323,0.00003438385,0.00008527381,0.00020875526,0.98694825,0.0035599356,0.0043277936,0.002810934,0.000008964964],"about_ca_topic_score_codex":0.0032479416,"about_ca_topic_score_gemma":0.008504533,"teacher_disagreement_score":0.0043744836,"about_ca_system_score_codex":0.00036705975,"about_ca_system_score_gemma":0.00036209472,"threshold_uncertainty_score":0.014634073},"labels":[],"label_agreement":null},{"id":"W4308069877","doi":"10.1109/ccece49351.2022.9918469","title":"Site Suitability Assessment of Public EV Charging Stations in Urban Environment","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Geographic information system; Charging station; Greenhouse gas; Electric vehicle; Computer science; Volunteered geographic information; Environmental science; Environmental economics; Transport engineering; Engineering; Remote sensing; Geography; Data science","score_opus":0.00859281839857872,"score_gpt":0.21343299898575047,"score_spread":0.20484018058717174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308069877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99018794,0.00007222101,0.004985807,0.000027065218,0.000008020371,0.000068871195,0.00081905955,0.00008760187,0.0037434178],"genre_scores_gemma":[0.9964282,0.000045127672,0.0024940856,0.0000031579195,0.0000011333437,0.000016293363,0.00030715333,0.000005637643,0.000699178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949694,0.000097654454,0.00003233621,0.00006563554,0.00022307031,0.00008436761],"domain_scores_gemma":[0.999292,0.00017488879,0.000098374665,0.000063490996,0.00030020968,0.00007098099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041246493,0.00034380783,0.00023792841,0.0019332478,0.00050351553,0.0010434714,0.0003440608,0.00040416175,0.0018806278],"category_scores_gemma":[0.0013091604,0.00015918823,0.00038720857,0.0017696561,0.00037767735,0.00050789793,0.0005062478,0.00013601688,0.00040785605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005472753,0.0001507168,0.7769374,0.00044589236,0.0001448657,0.0015389851,0.001413845,0.10793574,0.024770055,0.0018755535,0.0021869813,0.08205272],"study_design_scores_gemma":[0.00002956421,0.00045771588,0.74277526,0.000073902316,0.00019995877,0.000628937,0.01304795,0.21742982,0.018562013,0.0012639285,0.005414893,0.000116107876],"about_ca_topic_score_codex":0.047907997,"about_ca_topic_score_gemma":0.14782406,"teacher_disagreement_score":0.047907997,"about_ca_system_score_codex":0.0009801768,"about_ca_system_score_gemma":0.00077510026,"threshold_uncertainty_score":0.095258296},"labels":[],"label_agreement":null},{"id":"W4308073549","doi":"10.1080/15325008.2022.2138638","title":"ANFIS Based Energy Management System for V2G Integrated Micro-Grids","year":2022,"lang":"en","type":"article","venue":"Electric Power Components and Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptive neuro fuzzy inference system; Energy management system; Photovoltaic system; Grid; State of charge; Energy management; Controller (irrigation); Computer science; Automotive engineering; Engineering; Fuzzy logic; Simulation; Power (physics); Battery (electricity); Fuzzy control system; Energy (signal processing); Electrical engineering; Artificial intelligence","score_opus":0.0055218870399779,"score_gpt":0.17092274553200112,"score_spread":0.1654008584920232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308073549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09814814,0.0012540916,0.86165476,0.00063533155,0.0002729731,0.00043597395,0.00044366767,0.00354287,0.033612244],"genre_scores_gemma":[0.9490309,0.00029184794,0.043587305,0.00007023882,0.000024020117,0.00021755954,0.00017031458,0.00002720585,0.0065807407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998573,0.00003485392,0.000013226786,0.000022331795,0.000060730577,0.000011461291],"domain_scores_gemma":[0.9998932,0.00003664549,0.000016952874,0.000006016656,0.000042582593,0.0000046473206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698957,0.0005282835,0.00038928646,0.00024637516,0.0003619527,0.0007277875,0.00045036967,0.0005705201,0.0033536127],"category_scores_gemma":[0.00037801792,0.00014494846,0.00023220878,0.00018635472,0.00018894333,0.00044214368,0.00023960324,0.00043759923,0.00038534307],"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":[0.00017776761,0.0000836835,0.0008254038,0.00019786392,0.000053672386,0.00025943073,0.00009469778,0.8939434,0.010194491,0.004898961,0.002078993,0.0871916],"study_design_scores_gemma":[0.00001693736,0.0000750796,0.00032932637,0.000015689795,0.000011772694,0.000031025585,0.000019503672,0.99449724,0.002188863,0.0007600455,0.00204899,0.0000055373503],"about_ca_topic_score_codex":0.0061620846,"about_ca_topic_score_gemma":0.0069144946,"teacher_disagreement_score":0.0061620846,"about_ca_system_score_codex":0.0005502077,"about_ca_system_score_gemma":0.00040319664,"threshold_uncertainty_score":0.01225239},"labels":[],"label_agreement":null},{"id":"W4308091346","doi":"10.1109/icrera55966.2022.9922785","title":"Transport Service Electrification in Developing Countries","year":2022,"lang":"en","type":"article","venue":"2022 11th International Conference on Renewable Energy Research and Application (ICRERA)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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":"Electrification; Public transport; Work (physics); Transport engineering; Developing country; Service (business); Business; Environmental economics; Electricity; Sustainable transport; Process (computing); Sustainable development; Key (lock); Reliability (semiconductor); Engineering; Computer science; Power (physics); Economic growth; Sustainability; Marketing; Economics; Computer security","score_opus":0.027817974057140277,"score_gpt":0.28219480862929947,"score_spread":0.2543768345721592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308091346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7526473,0.0046685752,0.0133566605,0.002619474,0.0001679502,0.00023022084,0.002743883,0.00017988244,0.22338597],"genre_scores_gemma":[0.98605937,0.0035909517,0.0029225152,0.00010344677,0.000009054314,0.00008225705,0.0005268206,0.000015592677,0.006690144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974364,0.00010424488,0.0000141401615,0.000023587298,0.00003367154,0.000080614525],"domain_scores_gemma":[0.99983346,0.000045926383,0.000027944257,0.0000121599305,0.000056304856,0.000024216557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032560277,0.0003653914,0.00020020102,0.0007078042,0.00055961247,0.0013654754,0.00024022313,0.00034833667,0.0065740016],"category_scores_gemma":[0.0006498453,0.00014021728,0.00032382525,0.0020684837,0.00037642146,0.0008091188,0.00065053964,0.00034716673,0.00045686105],"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":[0.000465672,0.00035214616,0.10872094,0.002119813,0.00015862014,0.006271996,0.0023272478,0.49908152,0.004657455,0.16535985,0.025499983,0.18498477],"study_design_scores_gemma":[0.00019357026,0.0009804075,0.14369927,0.0023743417,0.00024254201,0.0030374941,0.038018692,0.25471336,0.009269038,0.03386414,0.5134628,0.00014438288],"about_ca_topic_score_codex":0.028003367,"about_ca_topic_score_gemma":0.019758686,"teacher_disagreement_score":0.028003367,"about_ca_system_score_codex":0.0015421477,"about_ca_system_score_gemma":0.0015577408,"threshold_uncertainty_score":0.05568075},"labels":[],"label_agreement":null},{"id":"W4308313000","doi":"10.1016/j.epsr.2022.108922","title":"Computational intelligence based PEVs aggregator scheduling with support for photovoltaic power penetrated distribution grid under snow conditions","year":2022,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"News aggregator; Demand response; Computer science; Photovoltaic system; Scheduling (production processes); Mathematical optimization; Operations research; Real-time computing; Electricity; Engineering; Electrical engineering; Mathematics","score_opus":0.020170665993950863,"score_gpt":0.2866799145481002,"score_spread":0.26650924855414937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308313000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5391103,0.00020773799,0.4379746,0.00043220964,0.00018526454,0.00010514354,0.00025250495,0.0010361562,0.020696111],"genre_scores_gemma":[0.9896862,0.0000151764,0.009637511,0.000012359583,0.000007760615,0.000009990642,0.000043495278,0.000012862244,0.00057467725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000024423003,0.0000052293885,0.000029124549,0.000023535851,0.000044929093],"domain_scores_gemma":[0.9996927,0.00013057001,0.000038080532,0.000031811225,0.00006694071,0.000039833565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026333245,0.00036249674,0.00044215927,0.00021333295,0.0004620051,0.0006368066,0.00060522027,0.0002839811,0.0018569654],"category_scores_gemma":[0.0007836209,0.00017515654,0.0002469775,0.00027101918,0.00018703491,0.0004024676,0.00036454716,0.00037282513,0.00014724126],"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":[0.00014188186,0.000049049337,0.0007861809,0.000022450513,0.00001606827,0.00008658891,0.000028465845,0.978881,0.0021958253,0.0014981248,0.00079600164,0.015498318],"study_design_scores_gemma":[0.0000037296272,0.000011824415,0.00015324252,5.7961523e-7,0.0000027485837,0.0000043300965,0.000008836851,0.99910164,0.00024293926,0.0003701152,0.00009920168,8.240806e-7],"about_ca_topic_score_codex":0.008533399,"about_ca_topic_score_gemma":0.012084857,"teacher_disagreement_score":0.008533399,"about_ca_system_score_codex":0.00036518995,"about_ca_system_score_gemma":0.0007360125,"threshold_uncertainty_score":0.016967416},"labels":[],"label_agreement":null},{"id":"W4308518107","doi":"10.3390/technologies10060114","title":"Open-Source Photovoltaic—Electrical Vehicle Carport Designs","year":2022,"lang":"en","type":"article","venue":"Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Roof; Span (engineering); Automotive engineering; Environmental science; Parking lot; Rooftop photovoltaic power station; Solar energy; Computer science; Electrical engineering; Engineering; Civil engineering; Voltage; Maximum power point tracking","score_opus":0.014992015663477224,"score_gpt":0.21801199786232395,"score_spread":0.20301998219884673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308518107","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33906645,0.0012347128,0.34220558,0.00027906173,0.00040522852,0.00072378403,0.002975374,0.0030427275,0.31006718],"genre_scores_gemma":[0.8670025,0.0006237275,0.07018394,0.00007008856,0.00004295535,0.00049981975,0.0020107336,0.00038288976,0.059183296],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999728,0.000025647087,0.000009448381,0.000043237655,0.00015266302,0.0000410025],"domain_scores_gemma":[0.99979967,0.000019238962,0.000019378373,0.000039046212,0.00010050728,0.000022155758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021467557,0.00035551624,0.00022293036,0.00068850897,0.0003488047,0.0005494318,0.0012259656,0.00049186556,0.015130841],"category_scores_gemma":[0.00036740527,0.00017612538,0.00031043345,0.0006692666,0.00017028302,0.000743559,0.00045378288,0.000329266,0.0040264325],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067299913,0.000716884,0.004397597,0.0010334708,0.000081721184,0.0006556035,0.00016639399,0.20943303,0.1602883,0.032928865,0.03133911,0.55828595],"study_design_scores_gemma":[0.00021100146,0.0016330762,0.013318157,0.00015575417,0.00011032772,0.0015973462,0.00034405364,0.46996057,0.17365533,0.014991063,0.3238405,0.00018284928],"about_ca_topic_score_codex":0.0009010655,"about_ca_topic_score_gemma":0.0025025299,"teacher_disagreement_score":0.015130841,"about_ca_system_score_codex":0.00048763512,"about_ca_system_score_gemma":0.00040355884,"threshold_uncertainty_score":0.050617754},"labels":[],"label_agreement":null},{"id":"W4308544908","doi":"10.3390/su142114100","title":"A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation","year":2022,"lang":"en","type":"review","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Intelligent transportation system; Smart grid; Computer security; Energy management; Electric vehicle; Computer science; Control (management); Order (exchange); Risk analysis (engineering); Systems engineering; Transport engineering; Energy (signal processing); Engineering; Business; Artificial intelligence; Electrical engineering","score_opus":0.011045924987995365,"score_gpt":0.2614171653857488,"score_spread":0.2503712403977534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308544908","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003808056,0.98341167,0.0025819892,0.0009595522,0.00086748315,0.000028568156,0.00008196244,0.00004225959,0.011645542],"genre_scores_gemma":[0.0029605285,0.9900428,0.0022798826,0.00046487516,0.00051622366,0.000024013701,0.00013568539,0.000010199547,0.0035659077],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964964,0.000062353945,0.000055894146,0.0000597222,0.00014409551,0.000028343124],"domain_scores_gemma":[0.9992829,0.0003681708,0.000072193485,0.00002408533,0.0002236562,0.000028949458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005914808,0.0009077689,0.00071925257,0.0021411097,0.00036076747,0.0014331555,0.00082748086,0.0012567982,0.009378665],"category_scores_gemma":[0.0011753025,0.00034128412,0.0007165973,0.0030810505,0.00028499003,0.0020710297,0.0006371199,0.0010931445,0.0035112482],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003140885,0.000059866547,0.00026626504,0.015969409,0.00007115588,0.00017996802,0.00012119722,0.0010946202,0.0012160528,0.0173945,0.04771451,0.915881],"study_design_scores_gemma":[0.0000026306625,0.0000382966,0.00037801443,0.003883945,0.00006165842,0.00030438992,0.00006386191,0.00027994957,0.00028888456,0.0027448302,0.99193925,0.000014297871],"about_ca_topic_score_codex":0.0014654786,"about_ca_topic_score_gemma":0.0020140805,"teacher_disagreement_score":0.009378665,"about_ca_system_score_codex":0.00061375904,"about_ca_system_score_gemma":0.0015729002,"threshold_uncertainty_score":0.031374753},"labels":[],"label_agreement":null},{"id":"W4308866202","doi":"10.3390/wevj13110212","title":"Regional Electric Vehicle Fast Charging Network Design Using Common Public Data","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Range (aeronautics); Electric vehicle; Transport engineering; Queueing theory; Computer science; Public transport; Automotive engineering; Engineering; Computer network","score_opus":0.03859520689326546,"score_gpt":0.23874261074918945,"score_spread":0.200147403855924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308866202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08525862,0.00013591687,0.8913223,0.00036741575,0.000070814654,0.0005654119,0.0005846272,0.0011338814,0.020560957],"genre_scores_gemma":[0.83128774,0.0001637117,0.16201657,0.00004950896,0.000020521058,0.00030285298,0.00042247036,0.0001218698,0.0056146737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848276,0.00060779654,0.000063195206,0.0003050497,0.00029336597,0.00024776158],"domain_scores_gemma":[0.99847883,0.00027709318,0.00015133579,0.000171362,0.000826585,0.00009486623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016089274,0.00059595524,0.00046120843,0.000974268,0.00067461055,0.0016776434,0.0016361753,0.00045293587,0.003808662],"category_scores_gemma":[0.0035389606,0.00034031106,0.0006147643,0.0011188462,0.0005206639,0.0014845486,0.00141494,0.00044030856,0.0006784898],"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":[0.00013655612,0.00005986554,0.0018393773,0.0000929812,0.000041584277,0.00016895655,0.00015773643,0.906513,0.004388924,0.027045742,0.0027871784,0.056768063],"study_design_scores_gemma":[0.000031810538,0.0001954487,0.00084892125,0.0000126691275,0.000053050164,0.00009834031,0.00028709407,0.97690034,0.0036626474,0.00796186,0.009919894,0.000027926268],"about_ca_topic_score_codex":0.01681624,"about_ca_topic_score_gemma":0.023959978,"teacher_disagreement_score":0.01681624,"about_ca_system_score_codex":0.002886298,"about_ca_system_score_gemma":0.0021513014,"threshold_uncertainty_score":0.033436716},"labels":[],"label_agreement":null},{"id":"W4309716834","doi":"10.5267/j.ijiec.2022.9.002","title":"Half-open time-dependent multi-depot electric vehicle routing problem considering battery recharging and swapping","year":2022,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Simulated annealing; Electric vehicle; Vehicle routing problem; Battery (electricity); Transport engineering; Environmental economics; Integer programming; Green logistics; Total cost; Operations research; Sustainable development; Computer science; Automotive engineering; Routing (electronic design automation); Engineering; Business; Computer network; Economics","score_opus":0.020963867815531483,"score_gpt":0.23631110929122817,"score_spread":0.2153472414756967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309716834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2491381,0.00072840485,0.73989296,0.00069553347,0.00013734348,0.0001705047,0.00048397787,0.0002560906,0.008497136],"genre_scores_gemma":[0.9429972,0.00033290472,0.04981879,0.00007722206,0.00003267303,0.000114353636,0.0002627675,0.000050261813,0.0063137566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994122,0.00021613686,0.000023379273,0.00013316453,0.000061844694,0.00015334015],"domain_scores_gemma":[0.9992211,0.00044057725,0.000110490226,0.00004594998,0.00007840237,0.00010341418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000897841,0.0009119662,0.0014825107,0.0005761434,0.00074428215,0.0013520026,0.0016185659,0.0015904526,0.003144746],"category_scores_gemma":[0.001256022,0.0007805586,0.0011817687,0.00096210436,0.000705208,0.0015343883,0.0008884942,0.00094349205,0.00019178791],"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":[0.00007650533,0.000038487055,0.0003828425,0.000046085293,0.000032223907,0.000117145675,0.000023968938,0.9903908,0.0005967348,0.0027729794,0.00035846196,0.005163842],"study_design_scores_gemma":[0.00001322278,0.00004930935,0.00015804141,0.0000035621597,0.000013684892,0.00002629561,0.00004054131,0.9967264,0.00029812934,0.0023837239,0.0002813312,0.0000057575644],"about_ca_topic_score_codex":0.007944467,"about_ca_topic_score_gemma":0.0067265187,"teacher_disagreement_score":0.007944467,"about_ca_system_score_codex":0.001047449,"about_ca_system_score_gemma":0.0013633572,"threshold_uncertainty_score":0.015796423},"labels":[],"label_agreement":null},{"id":"W4310174521","doi":"10.1109/isgt-europe54678.2022.9960637","title":"Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties","year":2022,"lang":"en","type":"article","venue":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Energy exchange; Computer science; Energy (signal processing); Electric vehicle; Automotive engineering; Transport engineering; Engineering; Power (physics)","score_opus":0.020543156294580648,"score_gpt":0.22118034771579498,"score_spread":0.20063719142121433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310174521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35709617,0.0008401325,0.6208059,0.00070529606,0.00009974084,0.00026873636,0.0006113618,0.00036280535,0.019209817],"genre_scores_gemma":[0.9853302,0.00010324427,0.01184357,0.00002775008,0.0000074205614,0.000078035046,0.00008537484,0.000025457039,0.0024989943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946743,0.00021267783,0.000017862778,0.00009957881,0.000059173006,0.0001432639],"domain_scores_gemma":[0.9988951,0.000723337,0.00011828912,0.00002769858,0.00011469984,0.000120968114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010890343,0.0008405538,0.0013101534,0.00067117775,0.00062040216,0.0017046502,0.0008542658,0.0011992548,0.0029187652],"category_scores_gemma":[0.0019774504,0.0012384363,0.0007783385,0.00087445276,0.0010901947,0.0010524542,0.0010080338,0.001033273,0.00021941609],"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":[0.000036421094,0.00000777524,0.00012564324,0.000011063119,0.0000067971405,0.000037363676,0.000011307892,0.9972927,0.00012212443,0.0014110031,0.000083261366,0.0008545024],"study_design_scores_gemma":[0.000005495308,0.000016619686,0.00008897917,0.0000025727488,0.0000037900975,0.0000038752733,0.000018893825,0.9985984,0.00009145161,0.0010693362,0.000097332006,0.0000032844255],"about_ca_topic_score_codex":0.01391964,"about_ca_topic_score_gemma":0.01164156,"teacher_disagreement_score":0.01391964,"about_ca_system_score_codex":0.0015971626,"about_ca_system_score_gemma":0.0020150603,"threshold_uncertainty_score":0.027677238},"labels":[],"label_agreement":null},{"id":"W4310584419","doi":"10.1109/smartgridcomm52983.2022.9961019","title":"Time-of-Use-Aware Priority-Based Multi-Mode Online Charging Scheme for EV Charging Stations","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","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":"University of Victoria","funders":"","keywords":"Charging station; Electric vehicle; Mode (computer interface); Computer science; Automotive engineering; Scheme (mathematics); Trickle charging; Profit (economics); Power (physics); Electricity; Simulation; Electrical engineering; Engineering; Battery (electricity)","score_opus":0.016131275157961766,"score_gpt":0.256202604145819,"score_spread":0.24007132898785727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054897364,0.00039662357,0.93840575,0.0002193887,0.00021736775,0.00018127268,0.00005977876,0.0009059685,0.0047164992],"genre_scores_gemma":[0.9618927,0.0001164825,0.03637476,0.00007002277,0.000050202285,0.000060197137,0.000043296226,0.00002332402,0.001368909],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993345,0.00013843468,0.0000516398,0.00014318053,0.00020133026,0.00013090705],"domain_scores_gemma":[0.999062,0.0001979722,0.0001531815,0.0001115842,0.00034811173,0.00012719228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005937356,0.00065513194,0.0007325637,0.0005753617,0.00059505703,0.00087890204,0.001973501,0.0005104827,0.0018619664],"category_scores_gemma":[0.0016727048,0.00024080214,0.00038483742,0.0005396355,0.00036450895,0.0011326612,0.0007915923,0.00075583835,0.0003921653],"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":[0.0016125712,0.00079566945,0.0046772314,0.00045650726,0.00013931013,0.00053378387,0.0004198413,0.41312405,0.0538471,0.027181864,0.008283984,0.4889281],"study_design_scores_gemma":[0.00006398142,0.000257094,0.0006313893,0.000011011178,0.00003123908,0.00030133824,0.000055489712,0.987364,0.0055649388,0.0034928254,0.0021996717,0.0000269494],"about_ca_topic_score_codex":0.0021366288,"about_ca_topic_score_gemma":0.002923533,"teacher_disagreement_score":0.0021366288,"about_ca_system_score_codex":0.0006251265,"about_ca_system_score_gemma":0.0011487177,"threshold_uncertainty_score":0.006228864},"labels":[],"label_agreement":null},{"id":"W4310972373","doi":"10.1109/iecon49645.2022.9968614","title":"Energy Management Systems for Electric Vehicle Charging Stations: A Review","year":2022,"lang":"en","type":"review","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electric vehicle; Energy management; Automotive engineering; Energy (signal processing); Computer science; Electrical engineering; Aerospace engineering; Energy management system; Environmental science; Engineering; Physics; Power (physics)","score_opus":0.04486784969963926,"score_gpt":0.2659429476832824,"score_spread":0.22107509798364317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310972373","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017878687,0.99800247,0.0003387654,0.000112518734,0.00012666636,0.000010957937,0.000029444,0.000008278832,0.0011922109],"genre_scores_gemma":[0.0011948977,0.9976592,0.0004988723,0.00010218575,0.00009245934,0.000011512388,0.00004813458,0.000002185143,0.00039041438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997274,0.000044059896,0.000050242223,0.000055182387,0.00010252942,0.000020519085],"domain_scores_gemma":[0.9993736,0.00034160563,0.00009912332,0.000018086972,0.00014709197,0.00002045053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006240865,0.001059902,0.0013410628,0.0022904268,0.0002817575,0.0010181337,0.0010951285,0.0011151343,0.0042113145],"category_scores_gemma":[0.0011130245,0.0004143412,0.0008978179,0.003133465,0.000283271,0.0014263863,0.0005274281,0.0009905362,0.0017665303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006384165,0.00011441578,0.0002393244,0.050458323,0.00017414641,0.00014238543,0.00006328434,0.0012974205,0.0012587358,0.0056612683,0.016946575,0.9235803],"study_design_scores_gemma":[0.000018163099,0.00019291007,0.0009999318,0.014223265,0.0003713991,0.00090827496,0.00007987063,0.00040103283,0.0007906921,0.0020314662,0.97994417,0.000038827657],"about_ca_topic_score_codex":0.0015222477,"about_ca_topic_score_gemma":0.0017271602,"teacher_disagreement_score":0.0042113145,"about_ca_system_score_codex":0.0004542146,"about_ca_system_score_gemma":0.0011605617,"threshold_uncertainty_score":0.014088213},"labels":[],"label_agreement":null},{"id":"W4311401368","doi":"10.1016/j.tbs.2022.11.006","title":"Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction","year":2022,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Electric vehicle; Automotive engineering; Engineering; Computer science; Physics","score_opus":0.010389675351507274,"score_gpt":0.20641257936512666,"score_spread":0.19602290401361938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311401368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17220269,0.0006386718,0.81661403,0.001038326,0.00012836042,0.00010574886,0.00048722915,0.00031019075,0.008474735],"genre_scores_gemma":[0.97258985,0.00019769414,0.01850834,0.00009680028,0.000055091365,0.000104487626,0.00023064498,0.000029548075,0.008187543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948347,0.00020942907,0.000022827562,0.00012833324,0.000061896666,0.00009400906],"domain_scores_gemma":[0.99665004,0.0025918693,0.00019468214,0.00009186403,0.00036133375,0.00011023599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001876323,0.0006835473,0.0014103472,0.00091511226,0.0005929171,0.0012395103,0.0018419779,0.0016385395,0.005241581],"category_scores_gemma":[0.0052000848,0.00074920326,0.0009810289,0.0007898697,0.0008542121,0.0013313219,0.0012147363,0.0015581709,0.0004255634],"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":[0.000017546921,0.00002955343,0.00095545006,0.000014983164,0.000029074748,0.00002928929,0.000016791922,0.98899186,0.00007427429,0.006200176,0.00024198095,0.0033990708],"study_design_scores_gemma":[0.0000011085083,0.0000032774335,0.00007176116,0.0000012419109,0.0000026704827,0.0000019484226,0.0000018861273,0.9986759,0.0000152675,0.0011890501,0.00003463174,0.0000011464284],"about_ca_topic_score_codex":0.027459936,"about_ca_topic_score_gemma":0.019047776,"teacher_disagreement_score":0.027459936,"about_ca_system_score_codex":0.0015358536,"about_ca_system_score_gemma":0.00135215,"threshold_uncertainty_score":0.05460024},"labels":[],"label_agreement":null},{"id":"W4311964487","doi":"10.1016/j.est.2022.106294","title":"Charging demand prediction in Beijing based on real-world electric vehicle data","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Beijing; Electric vehicle; Cluster analysis; Grid; Computer science; Dimension (graph theory); Simulation; Automotive engineering; Power (physics); Engineering; Artificial intelligence; Geography","score_opus":0.009075735231397012,"score_gpt":0.20933427106501531,"score_spread":0.2002585358336183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311964487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994619,0.00011370099,0.00084766553,0.00019510124,0.00001992642,0.000007748347,0.0028926875,0.00020241615,0.0011017005],"genre_scores_gemma":[0.9960681,0.000054322347,0.00022603164,0.000009203818,0.0000063543575,0.0000036088109,0.0032858602,0.0000056631156,0.00034080129],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998603,0.000018030629,0.000012769923,0.00003759178,0.0000340529,0.00003719814],"domain_scores_gemma":[0.9997234,0.00006188154,0.000036082136,0.00003444811,0.000097380806,0.000046780624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028658073,0.0004608892,0.0004095942,0.0007797806,0.00021316705,0.00046989857,0.00051054347,0.00047169544,0.0012392817],"category_scores_gemma":[0.000661962,0.00019749416,0.00031042105,0.0012392056,0.00023277449,0.00074426725,0.00033394,0.00029100472,0.00042273288],"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":[0.0009584413,0.00027928036,0.4772687,0.00018127897,0.00022650645,0.001221815,0.00014408196,0.45332208,0.0052741705,0.0011424968,0.013250851,0.046730366],"study_design_scores_gemma":[0.000028996226,0.0000493723,0.17628153,0.000008188885,0.00003440338,0.00007269914,0.0002543516,0.819772,0.0014746658,0.00039280846,0.0016039145,0.00002694528],"about_ca_topic_score_codex":0.06742334,"about_ca_topic_score_gemma":0.06600366,"teacher_disagreement_score":0.06742334,"about_ca_system_score_codex":0.000965319,"about_ca_system_score_gemma":0.00057139795,"threshold_uncertainty_score":0.13406181},"labels":[],"label_agreement":null},{"id":"W4312096262","doi":"10.1109/icems56177.2022.9983451","title":"Electric Powertrain Efficiency Improvement for Autonomous Vehicles Using Genetic Algorithms for Optimized Speed Profile Creation","year":2022,"lang":"en","type":"article","venue":"2022 25th International Conference on Electrical Machines and Systems (ICEMS)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Windsor","funders":"","keywords":"Jerk; Acceleration; Powertrain; Control theory (sociology); Electric motor; Genetic algorithm; Electric vehicle; Automotive engineering; Computer science; Constant (computer programming); Engineering; Simulation; Torque; Power (physics); Physics; Electrical engineering; Artificial intelligence","score_opus":0.021489452762871956,"score_gpt":0.27128094390075547,"score_spread":0.24979149113788351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312096262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10429455,0.00022119559,0.8895055,0.00006224636,0.0000297168,0.00006979091,0.000025089219,0.00062811736,0.005163686],"genre_scores_gemma":[0.83356947,0.00014188743,0.16321258,0.000024633964,0.000009955281,0.00008374449,0.000071579445,0.0000781907,0.002807932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989986,0.00001419331,0.000003773139,0.00001652594,0.000051352064,0.000014269353],"domain_scores_gemma":[0.9998951,0.00003312119,0.0000200224,0.000009538038,0.000035995734,0.0000062300273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021706684,0.0004529752,0.0003098288,0.0006007127,0.00023205453,0.00041067685,0.0004196801,0.00028617692,0.0006233429],"category_scores_gemma":[0.0004290919,0.00021744322,0.00030345793,0.0003936238,0.00016711217,0.000286575,0.00022109362,0.0003197058,0.00015208551],"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":[0.0000664897,0.00010823306,0.0012662521,0.000056526136,0.000039477785,0.00006134426,0.00008378052,0.78414446,0.026493661,0.0034533131,0.0005916365,0.1836348],"study_design_scores_gemma":[0.00001390624,0.000058535847,0.000578567,0.000004086486,0.000009210531,0.000019707555,0.000015439558,0.9927342,0.004537616,0.0007296791,0.0012923914,0.0000066767047],"about_ca_topic_score_codex":0.0037779182,"about_ca_topic_score_gemma":0.004142337,"teacher_disagreement_score":0.0037779182,"about_ca_system_score_codex":0.0003378121,"about_ca_system_score_gemma":0.00047403885,"threshold_uncertainty_score":0.007511854},"labels":[],"label_agreement":null},{"id":"W4312142086","doi":"10.54097/hbem.v4i.3358","title":"Analysis of Current Situation, Problems and Potential Solutions of Electric Vehicle Industry","year":2022,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Battery (electricity); Government (linguistics); Quality (philosophy); Electric vehicle; Process (computing); New energy; Production (economics); Driving range; Range (aeronautics); Business; Engineering; Risk analysis (engineering); Manufacturing engineering; Transport engineering; Computer science; Economics; Mechanical engineering","score_opus":0.009361976410618164,"score_gpt":0.18620124780868783,"score_spread":0.17683927139806965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312142086","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16088463,0.36705542,0.011251234,0.18916278,0.003596443,0.00018252307,0.002108288,0.0004036179,0.2653551],"genre_scores_gemma":[0.65504915,0.28891665,0.004591118,0.0063012876,0.0017663796,0.000065302185,0.0014546216,0.000039223578,0.041816227],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992861,0.00012630205,0.000058677124,0.00010248659,0.00029189172,0.00013451876],"domain_scores_gemma":[0.99884975,0.00023745389,0.00017802106,0.000020939022,0.0005834553,0.00013032624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084085244,0.00032977617,0.000198841,0.0026756362,0.0010608016,0.0033246535,0.0007349559,0.001483519,0.008224737],"category_scores_gemma":[0.0016451088,0.00013060443,0.00033412024,0.0034050131,0.0006802486,0.0035713625,0.00070441567,0.0009840019,0.0011554995],"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":[0.0002156321,0.00032682094,0.05828806,0.003846282,0.00005651512,0.0030095153,0.0021813759,0.003856548,0.0017442955,0.17609005,0.18355384,0.56683105],"study_design_scores_gemma":[0.00001206725,0.00014554654,0.06711433,0.002840904,0.000067155175,0.0028071236,0.02759922,0.0053817006,0.0011661499,0.036254272,0.8565018,0.000109715504],"about_ca_topic_score_codex":0.005355206,"about_ca_topic_score_gemma":0.0068010516,"teacher_disagreement_score":0.008224737,"about_ca_system_score_codex":0.0024766768,"about_ca_system_score_gemma":0.003099576,"threshold_uncertainty_score":0.027514458},"labels":[],"label_agreement":null},{"id":"W4312216651","doi":"10.36040/alinier.v3i2.5514","title":"SIMULASI SIMULASI ON GRID PV Array 900 VA UNTUK ANALISA EKONOMI BERBASIS SOFTWARE HOMER","year":2022,"lang":"id","type":"article","venue":"ALINIER Journal of Artificial Intelligence & Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physics","score_opus":0.020593893135586832,"score_gpt":0.2685117116767074,"score_spread":0.24791781854112058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312216651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67784,0.000461194,0.14793003,0.001042826,0.00036876576,0.00027183318,0.015307627,0.014920761,0.141857],"genre_scores_gemma":[0.94996196,0.00026931,0.017730052,0.000091081165,0.000013303989,0.000104675135,0.0040192623,0.0006478575,0.027162414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.000022764343,0.0000065496056,0.000021577607,0.000040428316,0.000015396632],"domain_scores_gemma":[0.9996656,0.00015004809,0.000021017247,0.000033075492,0.00011642141,0.000013892109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017693752,0.00051557395,0.00045657347,0.00025412077,0.00028676985,0.0008802363,0.0004744464,0.00044769168,0.016138738],"category_scores_gemma":[0.00080560066,0.00025782592,0.0005633353,0.00034436712,0.00016459488,0.0005049211,0.00029899,0.0009195962,0.0024162703],"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":[0.00033229965,0.000107212356,0.008255067,0.0003551667,0.0000716762,0.00025165742,0.00025832842,0.93896025,0.0073801666,0.0038222957,0.010630117,0.029575773],"study_design_scores_gemma":[0.00007423252,0.00011073163,0.006156711,0.000044104803,0.000039687147,0.000059911803,0.00018762524,0.9751618,0.0054729315,0.0014748329,0.011194484,0.000022996228],"about_ca_topic_score_codex":0.029013596,"about_ca_topic_score_gemma":0.018769987,"teacher_disagreement_score":0.029013596,"about_ca_system_score_codex":0.0003784959,"about_ca_system_score_gemma":0.00045814668,"threshold_uncertainty_score":0.05768943},"labels":[],"label_agreement":null},{"id":"W4312256773","doi":"10.1109/sefet55524.2022.9909078","title":"Integrated Utility-Transit Model for a Comprehensive Transition Plan for Battery-Electric Bus Fleets","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"Qatar National Research Fund","keywords":"Electrification; Purchasing; Public transport; Sizing; Plan (archaeology); Operations research; Battery (electricity); Computer science; Transit (satellite); Transport engineering; Electricity; Engineering; Operations management; Electrical engineering","score_opus":0.01397928039947408,"score_gpt":0.21920029053386264,"score_spread":0.20522101013438857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312256773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20069046,0.0009252842,0.7237059,0.0013483911,0.00018437098,0.00047909244,0.0029745614,0.0007952792,0.06889669],"genre_scores_gemma":[0.95525455,0.00027085407,0.020975482,0.00007753997,0.000025377005,0.00033000007,0.0007555989,0.00006879179,0.022241885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995327,0.00014161393,0.00001635593,0.00008528493,0.00007052174,0.0001535886],"domain_scores_gemma":[0.9995486,0.00020835656,0.000065370936,0.000013739067,0.00010470453,0.000059162747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087516,0.0011811615,0.0013493669,0.00091089064,0.00075757335,0.0017993716,0.0018102195,0.0022466092,0.013324935],"category_scores_gemma":[0.0012780854,0.00094113126,0.001356905,0.0010142245,0.0007120377,0.0011055345,0.0012141464,0.0018019679,0.0007992614],"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":[0.000026048954,0.000010110081,0.00011096994,0.00000945936,0.000005777739,0.00005061196,0.000009809537,0.99691355,0.00008153799,0.0020134526,0.00016329829,0.00060536875],"study_design_scores_gemma":[0.000010139809,0.000013311633,0.000059825306,0.0000032519058,0.000006015619,0.000006600385,0.000015128572,0.99908614,0.000027936609,0.0005549784,0.00021345403,0.0000031981692],"about_ca_topic_score_codex":0.0556313,"about_ca_topic_score_gemma":0.04049307,"teacher_disagreement_score":0.0556313,"about_ca_system_score_codex":0.0025679353,"about_ca_system_score_gemma":0.0027210047,"threshold_uncertainty_score":0.110615015},"labels":[],"label_agreement":null},{"id":"W4312291697","doi":"10.1109/itec-india53713.2021.9932493","title":"PV Array Generation Based Three Phase Grid Tied EV Charging Station with Power Quality Improvement Capability","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Photovoltaic system; Grid; Electrical engineering; Battery (electricity); Charging station; Grid-connected photovoltaic power system; Maximum power point tracking; Voltage; Power (physics); Computer science; Automotive engineering; Electronic engineering; Engineering; Electric vehicle; Physics","score_opus":0.01221324631440581,"score_gpt":0.24211660884961944,"score_spread":0.22990336253521362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312291697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27252728,0.00029953042,0.6698507,0.0003251586,0.00029143805,0.0002501074,0.0005060574,0.007866565,0.048083205],"genre_scores_gemma":[0.97157437,0.00008423218,0.019427584,0.000058770736,0.000024860214,0.000048899263,0.00020280537,0.00005016416,0.008528229],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998154,0.00002704344,0.000008909547,0.00004280308,0.000085379615,0.000020534204],"domain_scores_gemma":[0.999845,0.000014494263,0.000020349027,0.00003895938,0.00006610998,0.000015002829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009268236,0.00029145507,0.00040418524,0.00021732778,0.00028221455,0.00059177604,0.0009416357,0.00041882167,0.0045757163],"category_scores_gemma":[0.00018502645,0.00015815593,0.00029182402,0.000426557,0.00013105379,0.00035960978,0.0003372589,0.0004511947,0.0017433738],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011377491,0.0006832236,0.009279575,0.0007102125,0.00021845469,0.0015766434,0.0002616174,0.15461226,0.38729486,0.0073982165,0.014279781,0.4225474],"study_design_scores_gemma":[0.00024091193,0.0020970062,0.007139578,0.000037982307,0.00015510566,0.0018494987,0.00009382494,0.7485844,0.20234033,0.003157915,0.034234326,0.00006909579],"about_ca_topic_score_codex":0.00063378015,"about_ca_topic_score_gemma":0.00071221415,"teacher_disagreement_score":0.0045757163,"about_ca_system_score_codex":0.00020444783,"about_ca_system_score_gemma":0.00025191062,"threshold_uncertainty_score":0.015307367},"labels":[],"label_agreement":null},{"id":"W4312715196","doi":"10.2139/ssrn.4241522","title":"Optimal Charging Station Locations and Durations for a Transit Route with Battery-Electric Buses: A Two-Stage Stochastic Programming Approach with Consideration of Weather Conditions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Battery (electricity); Transit (satellite); Stage (stratigraphy); Stochastic programming; Environmental science; Meteorology; Transport engineering; Dynamic programming; Computer science; Public transport; Automotive engineering; Operations research; Engineering; Mathematical optimization; Geography; Power (physics); Mathematics","score_opus":0.0051809283045300344,"score_gpt":0.2041350362753433,"score_spread":0.19895410797081325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312715196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20235421,0.0007632608,0.7799217,0.001292894,0.00013024111,0.00031492888,0.001620411,0.00035831152,0.013243925],"genre_scores_gemma":[0.9005001,0.00064739113,0.082870394,0.00012433359,0.0000987737,0.000317854,0.00080361095,0.00021777027,0.014419752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993018,0.00028359497,0.00002602353,0.0001420863,0.000070540416,0.00017597633],"domain_scores_gemma":[0.9967175,0.002423486,0.00034050317,0.000055416236,0.00026546398,0.0001976414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230019,0.0014926497,0.0025126678,0.0015596531,0.0007704998,0.0030407133,0.0023360515,0.0032541922,0.00933027],"category_scores_gemma":[0.005652914,0.003272404,0.0026162486,0.0016816261,0.0014328081,0.002159363,0.0011650743,0.0021143358,0.00053595647],"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":[0.000043126234,0.000021763586,0.00024980685,0.00003157404,0.00001722305,0.000045553767,0.000019240526,0.99491197,0.0002175036,0.0030817376,0.00025730333,0.0011031954],"study_design_scores_gemma":[0.0000118169755,0.000019633795,0.00021798816,0.0000065966865,0.00001616909,0.0000082562765,0.000023175206,0.9976326,0.00010316042,0.0018547265,0.000095109084,0.000010808134],"about_ca_topic_score_codex":0.03416145,"about_ca_topic_score_gemma":0.03308183,"teacher_disagreement_score":0.03416145,"about_ca_system_score_codex":0.0034453932,"about_ca_system_score_gemma":0.0042221025,"threshold_uncertainty_score":0.067925215},"labels":[],"label_agreement":null},{"id":"W4312762464","doi":"10.1115/msec2022-81991","title":"Solving the Open Route Capacitated Periodic Vehicle Routing Problem With Time Windows to Service Microgrids Powered by Uncertain Renewable Generation","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Windsor","funders":"","keywords":"Vehicle routing problem; Computer science; Grid; Mathematical optimization; Time horizon; Electric vehicle; Renewable energy; Ant colony optimization algorithms; Power (physics); Operations research; Routing (electronic design automation); Engineering; Computer network; Electrical engineering; Mathematics; Algorithm","score_opus":0.008163363899159828,"score_gpt":0.1937528593535368,"score_spread":0.18558949545437697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312762464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39289987,0.00061331555,0.590258,0.00066073827,0.00013056649,0.00024789455,0.0006132199,0.00036867487,0.014207679],"genre_scores_gemma":[0.9612374,0.00016071815,0.035327237,0.000029487313,0.000019954876,0.00010268682,0.00019779909,0.000037203932,0.0028875202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996755,0.000120214245,0.000014619249,0.000060122977,0.000035567475,0.00009402838],"domain_scores_gemma":[0.99927133,0.0004801426,0.000087752975,0.00003738022,0.000056256304,0.000067099274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007046803,0.0008670341,0.000972663,0.00044718242,0.00038555273,0.0010390823,0.0010383333,0.001159164,0.0038633267],"category_scores_gemma":[0.0014845958,0.0005472711,0.00084223616,0.00061609194,0.00040302216,0.0006822713,0.00059985707,0.00075170136,0.00017973283],"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":[0.000024323881,0.000014472684,0.00015259773,0.000023196952,0.000012367745,0.000050019436,0.0000088712895,0.99612623,0.00017680641,0.0011795544,0.00018370079,0.0020478514],"study_design_scores_gemma":[0.000005493724,0.000019130632,0.000055612632,0.0000025164336,0.000004064997,0.000007980236,0.000016349228,0.9985667,0.00009580753,0.0011131663,0.00011120623,0.0000020114005],"about_ca_topic_score_codex":0.012647568,"about_ca_topic_score_gemma":0.009939408,"teacher_disagreement_score":0.012647568,"about_ca_system_score_codex":0.0007168524,"about_ca_system_score_gemma":0.0012006412,"threshold_uncertainty_score":0.025147915},"labels":[],"label_agreement":null},{"id":"W4312899227","doi":"10.4236/ti.2022.134009","title":"Development Strategy of New Energy Business for Traditional Car Manufacturers under the Dual-Credit Policy","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Dual (grammatical number); Business; Industrial organization; Order (exchange); Business model; Finance; Marketing","score_opus":0.017772067889146936,"score_gpt":0.2012101918757883,"score_spread":0.1834381239866414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312899227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68180364,0.0008167037,0.17060784,0.003620054,0.000069839814,0.0006709134,0.00022239838,0.0001286721,0.14205992],"genre_scores_gemma":[0.985578,0.00030409542,0.005750396,0.00006979561,0.000006929788,0.00009338937,0.000037088612,0.0000062399354,0.00815419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995684,0.000110400106,0.000012665205,0.00009052143,0.00007822271,0.00013983191],"domain_scores_gemma":[0.99964976,0.00007836348,0.00006702362,0.000020301115,0.00006888546,0.000115725285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006196735,0.00039550013,0.00024818775,0.0005242597,0.0005756376,0.0019809098,0.0006080432,0.00079571403,0.004319636],"category_scores_gemma":[0.001051358,0.00024021076,0.00050067244,0.0003483219,0.00070928363,0.0019841318,0.001509489,0.0008213045,0.00034886308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038262733,0.00045665883,0.022539182,0.0003231183,0.00008415871,0.0014101508,0.0008172223,0.35909534,0.008008626,0.4728257,0.006426802,0.12763047],"study_design_scores_gemma":[0.00017526964,0.00051413954,0.010022843,0.00012501027,0.00012892895,0.00042625406,0.0021823521,0.79480475,0.005957011,0.15838462,0.02720918,0.00006962077],"about_ca_topic_score_codex":0.004999665,"about_ca_topic_score_gemma":0.0050797546,"teacher_disagreement_score":0.004999665,"about_ca_system_score_codex":0.002311589,"about_ca_system_score_gemma":0.0036759374,"threshold_uncertainty_score":0.016771793},"labels":[],"label_agreement":null},{"id":"W4312942837","doi":"10.1109/pesgm48719.2022.9917047","title":"Robust Sizing of Solar-Powered Charging Station with Co-located Energy Storage","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power &amp; Energy Society General Meeting (PESGM)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sizing; Photovoltaic system; Automotive engineering; Energy storage; Battery (electricity); State of charge; Computer science; Charging station; Electric vehicle; Electrical engineering; Engineering; Environmental science; Power (physics)","score_opus":0.010541075763609374,"score_gpt":0.1995618901756656,"score_spread":0.18902081441205623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312942837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40978375,0.0003294792,0.5818953,0.00021345804,0.000038875118,0.0001565241,0.00021505283,0.00044198163,0.006925627],"genre_scores_gemma":[0.983422,0.000039949417,0.015783828,0.000009063556,0.000004500739,0.000026213265,0.00003473773,0.000021513639,0.00065826933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00008040458,0.000013794486,0.000075861,0.00006577029,0.000049407965],"domain_scores_gemma":[0.9992099,0.00045674003,0.00015616255,0.00006228659,0.00007731919,0.000037647056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005680965,0.0007405148,0.0008107685,0.00034251183,0.0002533034,0.0008941835,0.00065160537,0.0004941014,0.0016648846],"category_scores_gemma":[0.0015988499,0.0006438936,0.00061277096,0.0004820121,0.00052519445,0.000997025,0.0004167582,0.00050613855,0.00019802817],"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":[0.000036911948,0.000012422269,0.0002550597,0.000014974116,0.000014882362,0.00001547918,0.000006379348,0.99395186,0.0015406059,0.0005383736,0.00005604821,0.0035569884],"study_design_scores_gemma":[0.00000955956,0.000052961663,0.00027639288,0.0000015731295,0.000009819868,0.000009174394,0.000007743288,0.9977817,0.0011274173,0.00060288806,0.00011788647,0.0000029158514],"about_ca_topic_score_codex":0.004015683,"about_ca_topic_score_gemma":0.0051123295,"teacher_disagreement_score":0.004015683,"about_ca_system_score_codex":0.0011191549,"about_ca_system_score_gemma":0.0009764397,"threshold_uncertainty_score":0.00812006},"labels":[],"label_agreement":null},{"id":"W4313288440","doi":"10.1155/2022/8351412","title":"Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Jiaotong University; National Natural Science Foundation of China","keywords":"Software deployment; Battery (electricity); Automotive engineering; Computer science; Engineering; Operating system; Power (physics)","score_opus":0.00484257489579143,"score_gpt":0.21196516458415832,"score_spread":0.2071225896883669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313288440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73779875,0.0002646125,0.25365996,0.00062747276,0.000070844,0.00014948026,0.0011339937,0.0011572224,0.005137713],"genre_scores_gemma":[0.9779367,0.000086475935,0.020251043,0.000020912252,0.000009716647,0.00005066273,0.0005768054,0.000018825633,0.0010490281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997327,0.000057683552,0.00001922687,0.00008345816,0.000053627176,0.00005333437],"domain_scores_gemma":[0.9995396,0.00015540932,0.000087042055,0.000044766246,0.00013002752,0.000043215696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045530807,0.0007393052,0.0005156558,0.00075227465,0.00036884958,0.0006970436,0.0010557863,0.000659657,0.0010257072],"category_scores_gemma":[0.0014791201,0.00038880762,0.0006132772,0.00085060013,0.00028393237,0.0011545726,0.00045213007,0.0005800375,0.0002929846],"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":[0.000027657183,0.00004206324,0.012140171,0.000027530788,0.000019472827,0.00008940296,0.000029879544,0.9696442,0.00071368006,0.00066904793,0.00057841896,0.016018549],"study_design_scores_gemma":[0.0000016204616,0.000005265524,0.0009950165,0.0000011234301,0.0000029530522,0.0000039715837,0.000011609054,0.9985196,0.0001816722,0.00019602502,0.00007848284,0.0000026572386],"about_ca_topic_score_codex":0.03832862,"about_ca_topic_score_gemma":0.037919566,"teacher_disagreement_score":0.03832862,"about_ca_system_score_codex":0.0014499257,"about_ca_system_score_gemma":0.0011029815,"threshold_uncertainty_score":0.076211035},"labels":[],"label_agreement":null},{"id":"W4313315856","doi":"10.1109/commnet56067.2022.9993902","title":"Drive-Charge Dilemma in Electric Mobility: Price of Anarchy and Data Analytics Standpoint","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Montréal","funders":"","keywords":"Dilemma; Charge (physics); Computer science; Analytics; Data science; Electrical engineering; Physics; Engineering; Quantum mechanics; Mathematics","score_opus":0.01442339701780683,"score_gpt":0.22609316966245768,"score_spread":0.21166977264465087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313315856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2641514,0.002771947,0.48645946,0.06362663,0.0005087538,0.00033192695,0.00046546763,0.0001564552,0.18152802],"genre_scores_gemma":[0.9757717,0.0007207762,0.016499886,0.00066287,0.00014558432,0.00011170602,0.00004032696,0.000022665341,0.0060245423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975483,0.0016292409,0.000060604776,0.00022723399,0.0003820945,0.00015251958],"domain_scores_gemma":[0.9818875,0.015341976,0.0009580595,0.0006216722,0.0006177453,0.00057296664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041000186,0.0004712615,0.00085840066,0.0008348412,0.0013416677,0.0044821785,0.001813671,0.0029050922,0.004995383],"category_scores_gemma":[0.020487119,0.0004874436,0.0007204291,0.0007805073,0.0044951034,0.0075508957,0.0023550077,0.0025708582,0.00024336136],"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":[0.00010601099,0.0000985403,0.0021931576,0.00009329198,0.00005724118,0.00033119827,0.00044782305,0.19156048,0.00025860843,0.79023063,0.0023691545,0.012253847],"study_design_scores_gemma":[0.000054125547,0.000077936325,0.00048120588,0.000046269946,0.000014533169,0.00017982637,0.00059945317,0.41382673,0.00015290671,0.5795273,0.0050028623,0.000036772373],"about_ca_topic_score_codex":0.004679892,"about_ca_topic_score_gemma":0.0040266737,"teacher_disagreement_score":0.004995383,"about_ca_system_score_codex":0.0026581215,"about_ca_system_score_gemma":0.0021350514,"threshold_uncertainty_score":0.021683276},"labels":[],"label_agreement":null},{"id":"W4313343801","doi":"10.2172/1907160","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Second Quarter 2022)","year":2022,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Otsuka Canada Pharmaceutical; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Renewable energy; Electricity; Quarter (Canadian coin); Gallon (US); Transport engineering; Compressed natural gas; Business; Environmental economics; Engineering; Telecommunications; Waste management; Electrical engineering; Economics; Geography","score_opus":0.007383604361335759,"score_gpt":0.22142096935637245,"score_spread":0.2140373649950367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313343801","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07566854,0.0028235523,0.0022862018,0.0028503314,0.00067649863,0.00011022986,0.8017491,0.001397148,0.112438366],"genre_scores_gemma":[0.16632974,0.0052432697,0.0033115835,0.00096542697,0.00021724003,0.00027758884,0.7522344,0.00032672012,0.07109406],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945635,0.000025705833,0.00003392109,0.00006419913,0.00033174816,0.000088044704],"domain_scores_gemma":[0.9984914,0.00006398869,0.00023186475,0.000045510245,0.0010554208,0.000111789246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004602164,0.0006055794,0.00020577223,0.002456352,0.00029726498,0.0015063622,0.00035868978,0.00039752148,0.0098071955],"category_scores_gemma":[0.001457605,0.00025489583,0.00042990336,0.00538783,0.00006839893,0.0013683281,0.000740465,0.0006823803,0.006427551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012271146,0.00008306098,0.066617966,0.00050697976,0.000052531683,0.00015098747,0.00022358767,0.002766576,0.00084599864,0.0023529902,0.8538209,0.07245575],"study_design_scores_gemma":[0.000019001627,0.00008980164,0.29256037,0.0002857973,0.000045095498,0.00026461438,0.0007686198,0.0024174799,0.002229804,0.0003984132,0.70088303,0.00003804824],"about_ca_topic_score_codex":0.0929495,"about_ca_topic_score_gemma":0.11646231,"teacher_disagreement_score":0.0929495,"about_ca_system_score_codex":0.0018951631,"about_ca_system_score_gemma":0.0018324056,"threshold_uncertainty_score":0.18481696},"labels":[],"label_agreement":null},{"id":"W4313411143","doi":"10.3390/en15249572","title":"Utilizing Rooftop Renewable Energy Potential for Electric Vehicle Charging Infrastructure Using Multi-Energy Hub Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emmanuel Bible College; University of Waterloo","funders":"","keywords":"Renewable energy; Electric vehicle; Electricity; Environmental economics; Photovoltaic system; Wind power; Abu dhabi; Automotive engineering; Environmental science; Engineering; Electrical engineering; Economics","score_opus":0.00928745775510509,"score_gpt":0.200243425059481,"score_spread":0.19095596730437592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313411143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3185934,0.0007766848,0.6350442,0.00035773407,0.000054234653,0.00014820433,0.0004893522,0.0003650769,0.044171125],"genre_scores_gemma":[0.96549094,0.0002906798,0.030304506,0.000026369811,0.000013422976,0.000047477795,0.00012542431,0.00003403222,0.0036670647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998816,0.000031687876,0.0000027885849,0.000021654827,0.000029632527,0.00003256067],"domain_scores_gemma":[0.9999007,0.0000452353,0.000013707425,0.0000061303804,0.000023213943,0.00001095953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020315038,0.00050806155,0.0004777441,0.00085047935,0.00028388933,0.0011337104,0.0007526449,0.00074732257,0.003712796],"category_scores_gemma":[0.00033398235,0.00038455136,0.0009837024,0.0006011437,0.00020627807,0.00065912947,0.000459242,0.0003474304,0.00031900464],"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":[0.000017056007,0.000022248618,0.0008737303,0.000028157956,0.000017417238,0.0001153016,0.000012048171,0.9876615,0.0014307804,0.0026441892,0.00017542437,0.0070022657],"study_design_scores_gemma":[0.0000014736279,0.000011845118,0.00025725935,0.0000036069077,0.0000071013624,0.000016774231,0.000020782329,0.99836,0.0001892266,0.00088275044,0.0002454299,0.0000037593643],"about_ca_topic_score_codex":0.008142958,"about_ca_topic_score_gemma":0.011638549,"teacher_disagreement_score":0.008142958,"about_ca_system_score_codex":0.0008645238,"about_ca_system_score_gemma":0.0006753815,"threshold_uncertainty_score":0.016191125},"labels":[],"label_agreement":null},{"id":"W4313472747","doi":"10.3390/en16010438","title":"Analysis and Modeling of Value Creation Opportunities and Governing Factors for Electric Vehicle Proliferation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Timeline; Electric vehicle; Environmental economics; Sustainability; Market share; Market penetration; Grid; Offset (computer science); Business; Computer science; Industrial organization; Economics; Marketing","score_opus":0.014785369273531449,"score_gpt":0.21041959429783305,"score_spread":0.1956342250243016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313472747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38609707,0.0012811257,0.5178451,0.0015033043,0.000099086836,0.00014807381,0.0005273855,0.0001115123,0.09238738],"genre_scores_gemma":[0.981389,0.0006397671,0.007834547,0.00004138128,0.00003100329,0.00008099975,0.000105387706,0.000023524506,0.009854338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997403,0.000066657405,0.000008775813,0.00004626295,0.000060932536,0.000077088116],"domain_scores_gemma":[0.99929714,0.0004338174,0.000123087,0.00002212537,0.000088094166,0.000035699737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006923114,0.0005007906,0.0003983579,0.00081543473,0.00041997686,0.0016521402,0.0008733232,0.0010799607,0.0033901893],"category_scores_gemma":[0.0019606974,0.00042457326,0.0007822292,0.000772079,0.0008483823,0.0020128435,0.00082472735,0.001126001,0.00019850835],"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":[0.000014791545,0.000034260367,0.0024393722,0.00003287349,0.000012209597,0.0001947581,0.000056155583,0.90197116,0.001106116,0.088696875,0.000496244,0.004945156],"study_design_scores_gemma":[0.0000021759251,0.0000107342685,0.00061047915,0.000008326724,0.0000052397327,0.00003742264,0.000059484897,0.9816621,0.0001972028,0.01651292,0.00088641373,0.000007417315],"about_ca_topic_score_codex":0.006961478,"about_ca_topic_score_gemma":0.0055604014,"teacher_disagreement_score":0.006961478,"about_ca_system_score_codex":0.0015199417,"about_ca_system_score_gemma":0.0013133242,"threshold_uncertainty_score":0.013841867},"labels":[],"label_agreement":null},{"id":"W4313497708","doi":"10.2316/j.2022.201-0297","title":"HYBRID ELECTRIC VEHICLE MODELLING AND FUEL ECONOMY REGRESSION ANALYSIS, 171-181.","year":2022,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regression analysis; Automotive engineering; Electric vehicle; Economics; Environmental science; Econometrics; Engineering; Computer science; Machine learning","score_opus":0.0036155765400046266,"score_gpt":0.16590702834643306,"score_spread":0.16229145180642843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313497708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016145142,0.011039063,0.9529242,0.0009738307,0.0005878882,0.00003501034,0.0013613255,0.0010332854,0.01590017],"genre_scores_gemma":[0.6849749,0.015857622,0.1655488,0.00025901242,0.0006404941,0.0002491694,0.004892102,0.0013033473,0.12627457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.000075253854,0.000016118503,0.00005110846,0.00008050925,0.00001827581],"domain_scores_gemma":[0.9993387,0.00043752545,0.000030791878,0.000048418406,0.00013149304,0.00001310022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008339067,0.00092624535,0.0007521362,0.000802644,0.00024273082,0.0011043518,0.0012386031,0.0007661887,0.0055835675],"category_scores_gemma":[0.003132421,0.000686262,0.0010048508,0.001115612,0.00049978413,0.0013606753,0.0006394324,0.00092711236,0.0024829016],"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":[0.00012376702,0.00013421019,0.0025729237,0.0002899616,0.00016291895,0.00019410715,0.00008807143,0.80251473,0.0022661192,0.041067757,0.025078516,0.12550685],"study_design_scores_gemma":[0.000008420869,0.000028089942,0.0016954062,0.000036866673,0.00004273286,0.000076281925,0.00004112625,0.9552317,0.0013545553,0.025936473,0.015533178,0.000015215133],"about_ca_topic_score_codex":0.021300366,"about_ca_topic_score_gemma":0.026539031,"teacher_disagreement_score":0.021300366,"about_ca_system_score_codex":0.0006829561,"about_ca_system_score_gemma":0.0005676892,"threshold_uncertainty_score":0.042352796},"labels":[],"label_agreement":null},{"id":"W4313502747","doi":"10.3390/en16010032","title":"Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; York University","keywords":"Automotive industry; Charging station; Transport engineering; Electric vehicle; Cluster (spacecraft); Computer science; Environmental economics; Telecommunications; Engineering; Economics","score_opus":0.006751469571561288,"score_gpt":0.2333033288507147,"score_spread":0.22655185927915342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313502747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293303,0.0011264335,0.00041043316,0.000074496,0.000011779607,0.000018984625,0.00037757054,0.000002675644,0.0050446116],"genre_scores_gemma":[0.99867684,0.00058742525,0.00014246677,0.0000072853463,0.0000057862258,0.00000817952,0.0002462147,0.0000011296033,0.00032457258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884415,0.0005218198,0.000076384385,0.00013689057,0.00016392532,0.0002567604],"domain_scores_gemma":[0.9971818,0.0014354062,0.0005463302,0.000116236624,0.0005618044,0.00015846231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013052281,0.00020584208,0.00034525566,0.0045767548,0.00055746175,0.0014185268,0.00027865777,0.00029424342,0.0046257577],"category_scores_gemma":[0.003045739,0.0001650291,0.0009224684,0.0070991777,0.0004755856,0.0010551533,0.0011763059,0.00033751866,0.000344152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019576351,0.00015812056,0.9598752,0.00040281695,0.0011717997,0.0010769361,0.004569995,0.0016046218,0.00039861977,0.0056384495,0.00067376776,0.024233965],"study_design_scores_gemma":[0.000005542814,0.00022724962,0.97288394,0.00015033725,0.00048448532,0.00029490207,0.021189691,0.00094729895,0.000204006,0.00023649858,0.0033571357,0.00001898375],"about_ca_topic_score_codex":0.014632512,"about_ca_topic_score_gemma":0.0211709,"teacher_disagreement_score":0.014632512,"about_ca_system_score_codex":0.00089685636,"about_ca_system_score_gemma":0.0006806964,"threshold_uncertainty_score":0.029094696},"labels":[],"label_agreement":null},{"id":"W4313549798","doi":"10.1109/epec56903.2022.10000093","title":"A novel V2V charging scheme to optimize cost and alleviate range anxiety","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Matching (statistics); Range (aeronautics); Driving range; Electric vehicle; Automotive engineering; Power (physics); Scheme (mathematics); Simulation; Engineering","score_opus":0.00822779881362618,"score_gpt":0.19514100920695984,"score_spread":0.18691321039333367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313549798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03329621,0.00023679131,0.9568559,0.00015151044,0.0001045976,0.00011555176,0.000051077146,0.0005292386,0.008659137],"genre_scores_gemma":[0.83947563,0.0001822179,0.15166445,0.00012327151,0.00004866413,0.000095712334,0.000102254264,0.000064094136,0.008243628],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996879,0.00005661135,0.000017545191,0.00006817798,0.00010536837,0.00006448015],"domain_scores_gemma":[0.9998721,0.000020000527,0.000014034816,0.00002584654,0.000050487888,0.0000174933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028464003,0.00043076667,0.0006403103,0.00046220227,0.0006023027,0.00073416904,0.0015575382,0.000630906,0.0030638054],"category_scores_gemma":[0.0005377897,0.00019003298,0.00043557095,0.00082238205,0.00027974465,0.0008109319,0.00080047484,0.0003770255,0.00055203045],"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":[0.00039092652,0.00024414252,0.0011748915,0.00017323592,0.00007868302,0.00025744486,0.00016399412,0.42961875,0.032361273,0.03939323,0.008614198,0.48752922],"study_design_scores_gemma":[0.000041920768,0.00013502745,0.00032834194,0.0000061272594,0.000019691199,0.0002341877,0.000035534085,0.9825707,0.004992535,0.0051993444,0.006418678,0.000017936514],"about_ca_topic_score_codex":0.002062768,"about_ca_topic_score_gemma":0.0024127201,"teacher_disagreement_score":0.0030638054,"about_ca_system_score_codex":0.0005126394,"about_ca_system_score_gemma":0.000742309,"threshold_uncertainty_score":0.010249436},"labels":[],"label_agreement":null},{"id":"W4313562796","doi":"10.1109/epec56903.2022.10000170","title":"Comparative Economic Analysis of Conventional and Plug-in Battery Electric Vehicles in Canada","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gasoline; Miles per gallon gasoline equivalent; Total cost of ownership; Electricity; Battery (electricity); Automotive engineering; Internal combustion engine; Electric vehicle; Economic analysis; Battery electric vehicle; Volatility (finance); Environmental economics; Business; Green vehicle; Economics; Engineering; Finance; Fuel efficiency; Electrical engineering; Agricultural economics; Waste management; Accounting; Power (physics)","score_opus":0.005075665759672002,"score_gpt":0.1845177333130925,"score_spread":0.17944206755342051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9296482,0.0025642177,0.00034562973,0.00063535245,0.000024403838,0.00008339632,0.003781363,0.000014891159,0.06290254],"genre_scores_gemma":[0.98968095,0.0015360911,0.00029650342,0.000041200987,0.0000039042193,0.000010737674,0.0016581488,0.0000046469327,0.0067677605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877876,0.000052915584,0.00002968935,0.00007524624,0.0006835431,0.000379909],"domain_scores_gemma":[0.9984779,0.00017107168,0.00010211065,0.000025695317,0.0010117519,0.00021153704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048774295,0.00025484624,0.00028181984,0.0029595909,0.001932925,0.0023986835,0.0007965435,0.0003317932,0.0039812694],"category_scores_gemma":[0.0019396038,0.00015242916,0.0005255806,0.005861494,0.0006428368,0.0006549675,0.0006599485,0.0005272256,0.00017265519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022525145,0.0008026151,0.60892767,0.0011447206,0.00070600864,0.0035168831,0.0028057266,0.075228594,0.0050784484,0.15970314,0.024962036,0.11487168],"study_design_scores_gemma":[0.000094553456,0.00020024298,0.90388054,0.00020345107,0.00024926348,0.0003224079,0.011196124,0.04022707,0.0013469339,0.0024055655,0.03974052,0.00013338677],"about_ca_topic_score_codex":0.9907285,"about_ca_topic_score_gemma":0.994856,"teacher_disagreement_score":0.06537086,"about_ca_system_score_codex":0.06537086,"about_ca_system_score_gemma":0.03294369,"threshold_uncertainty_score":0.47430098},"labels":[],"label_agreement":null},{"id":"W4315464960","doi":"10.1049/gtd2.12752","title":"Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach","year":2023,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Electricity; Computer science; Renewable energy; Demand response; Electricity market; Hybrid system; Energy storage; Software deployment; Purchasing; Scheduling (production processes); Automotive engineering; Operations research; Environmental economics; Reliability engineering; Engineering; Power (physics); Operations management; Electrical engineering; Economics","score_opus":0.013149993066320134,"score_gpt":0.21650670398027286,"score_spread":0.20335671091395272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315464960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23970328,0.00028484946,0.74921596,0.00044760617,0.000059005713,0.00012984556,0.00022525345,0.00023141362,0.009702737],"genre_scores_gemma":[0.9880916,0.000054720487,0.010536676,0.000024966454,0.00000817087,0.00003526046,0.000046210414,0.000014129607,0.0011883094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993781,0.00028478153,0.000020457957,0.00008337948,0.000094200346,0.00013902114],"domain_scores_gemma":[0.998298,0.0010994123,0.00023997026,0.0000318193,0.00020556107,0.00012539145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015896184,0.0008557938,0.00090971094,0.00061261916,0.00042404927,0.0011912958,0.0007537158,0.0009732989,0.0016983941],"category_scores_gemma":[0.002591609,0.00067439064,0.0006163827,0.0004479034,0.00079773803,0.0006949976,0.0007045396,0.00070077326,0.00011925591],"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":[0.000021936512,0.0000066873495,0.000109762404,0.0000065933605,0.00000524781,0.000015142581,0.0000048671086,0.99798965,0.0001220927,0.0008208337,0.00003838177,0.0008587808],"study_design_scores_gemma":[0.0000037158657,0.0000098769815,0.000037638558,8.4303593e-7,0.0000023082875,0.0000016565261,0.0000036242568,0.9994141,0.00007540318,0.00041845837,0.00003110562,0.0000012449927],"about_ca_topic_score_codex":0.01544429,"about_ca_topic_score_gemma":0.008001926,"teacher_disagreement_score":0.01544429,"about_ca_system_score_codex":0.0021081304,"about_ca_system_score_gemma":0.0015658514,"threshold_uncertainty_score":0.03070879},"labels":[],"label_agreement":null},{"id":"W4316041494","doi":"10.1186/s43067-023-00069-2","title":"An optimal solution to unit commitment problem of realistic integrated power system involving wind and electric vehicles using chaotic slime mould optimizer","year":2023,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Electric Vehicles and Infrastructure","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":"University of Calgary","funders":"","keywords":"Particle swarm optimization; Cuckoo search; Power system simulation; Grid; Computer science; Mathematical optimization; Renewable energy; Genetic algorithm; Harmony search; Chaotic; Engineering; Electric power system; Automotive engineering; Power (physics); Electrical engineering; Algorithm; Mathematics; Artificial intelligence","score_opus":0.0088241839963773,"score_gpt":0.21798722809426602,"score_spread":0.20916304409788872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316041494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39078683,0.0005170086,0.588962,0.00083270244,0.00008452297,0.00025363412,0.00024448114,0.0002535282,0.018065292],"genre_scores_gemma":[0.9669738,0.000069047,0.03069952,0.000034006694,0.000008714622,0.00010045771,0.000060724684,0.000016395425,0.00203718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998481,0.000070123766,0.000005677363,0.000022577338,0.000022545923,0.00003086686],"domain_scores_gemma":[0.99946636,0.00037395582,0.000049741633,0.000013761027,0.000062474945,0.00003385033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006341448,0.00055494386,0.00069163047,0.0004254559,0.00038819265,0.00083262194,0.0005415773,0.0010675534,0.0033017616],"category_scores_gemma":[0.001516213,0.00040078565,0.00040790119,0.00036307416,0.00047407593,0.00045180586,0.00043028672,0.0006909654,0.00015133545],"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":[0.000023191069,0.000007643885,0.00014172315,0.000014157745,0.000008078512,0.000026176624,0.000007129642,0.9971566,0.00012820958,0.0008593337,0.00010410202,0.0015235635],"study_design_scores_gemma":[0.0000068968397,0.000016227255,0.000048363236,0.0000018614586,0.0000018312348,0.0000027573271,0.0000053596846,0.99952984,0.000049468745,0.0002838253,0.000052517727,0.0000011159847],"about_ca_topic_score_codex":0.012787413,"about_ca_topic_score_gemma":0.008191481,"teacher_disagreement_score":0.012787413,"about_ca_system_score_codex":0.0008187984,"about_ca_system_score_gemma":0.0009713854,"threshold_uncertainty_score":0.02542597},"labels":[],"label_agreement":null},{"id":"W4317396145","doi":"10.1016/j.energy.2023.126702","title":"Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Time horizon; Quarter (Canadian coin); Demand response; Computer science; Mathematical optimization; Operations research; Engineering; Automotive engineering; Electrical engineering; Mathematics","score_opus":0.005483443568666653,"score_gpt":0.20864256620811003,"score_spread":0.20315912263944338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317396145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34382477,0.00091887737,0.61764634,0.0011549373,0.00059667317,0.0003449616,0.00037576474,0.0008558106,0.034281872],"genre_scores_gemma":[0.9896428,0.000049851842,0.006866544,0.00003988931,0.000025287452,0.00003667021,0.00005340239,0.000014827751,0.003270803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952304,0.000104454804,0.00001889733,0.00010218996,0.000074669144,0.00017663157],"domain_scores_gemma":[0.99975795,0.00006601954,0.00003092448,0.000012293998,0.00007282381,0.00006008546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006690054,0.001141097,0.0018520073,0.00041930104,0.0007215975,0.0015950926,0.001663621,0.0013537478,0.0049701175],"category_scores_gemma":[0.0005981566,0.00058548665,0.0006317538,0.00046195404,0.00036426177,0.0007970664,0.00079218386,0.0007871328,0.000377558],"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":[0.0006272183,0.00016067726,0.0005085435,0.00012294167,0.000060007216,0.00029664833,0.00008357222,0.9701375,0.0033878046,0.00259821,0.0024486773,0.01956825],"study_design_scores_gemma":[0.000028485525,0.00007325739,0.00021898479,0.0000019657093,0.000009380361,0.000013376783,0.000026365567,0.99885976,0.00022238451,0.00037876493,0.00016155967,0.000005597569],"about_ca_topic_score_codex":0.011482055,"about_ca_topic_score_gemma":0.014269574,"teacher_disagreement_score":0.011482055,"about_ca_system_score_codex":0.00094553165,"about_ca_system_score_gemma":0.0015257907,"threshold_uncertainty_score":0.022830427},"labels":[],"label_agreement":null},{"id":"W4317929794","doi":"10.3390/su15032181","title":"A National and Regional Greenhouse Gas Breakeven Assessment of EVs across North America","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Electrification; Environmental science; Electricity; Internal combustion engine; Life-cycle assessment; Gasoline; Battery (electricity); Work (physics); Natural resource economics; Environmental engineering; Production (economics); Environmental economics; Automotive engineering; Engineering; Waste management; Economics; Power (physics)","score_opus":0.00706686852953784,"score_gpt":0.27197292521574634,"score_spread":0.2649060566862085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317929794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992833,0.00013765885,0.000850734,0.00009078931,0.000002290911,0.000014757592,0.0010688193,0.000019367544,0.0049824673],"genre_scores_gemma":[0.9972197,0.0001371912,0.00077648717,0.000016250402,0.000001400941,0.00001265077,0.0010571037,0.000006600386,0.0007725562],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998468,0.00003782643,0.0000051604197,0.00003444576,0.00003706782,0.00003869791],"domain_scores_gemma":[0.9996136,0.00006200304,0.000056067343,0.000019907278,0.00022359497,0.000024825007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040861435,0.0002523883,0.00014401825,0.00078571646,0.00024142285,0.0005973439,0.00022430962,0.00021061259,0.0005410897],"category_scores_gemma":[0.00056609523,0.0001241543,0.00031050332,0.0012330015,0.0002180769,0.0006198519,0.00028728787,0.00019670934,0.00006783142],"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":[0.0003806085,0.00016016385,0.8030216,0.0001155296,0.0004088202,0.0006998138,0.0007455709,0.14315397,0.0066101346,0.005180994,0.003331272,0.036191635],"study_design_scores_gemma":[0.000014028085,0.00017071041,0.9243277,0.000033696688,0.00016608567,0.0001684158,0.003727085,0.056604866,0.0027442046,0.0012197942,0.010787558,0.00003590392],"about_ca_topic_score_codex":0.29902953,"about_ca_topic_score_gemma":0.41059119,"teacher_disagreement_score":0.29902953,"about_ca_system_score_codex":0.0020613237,"about_ca_system_score_gemma":0.00082831393,"threshold_uncertainty_score":0.59457797},"labels":[],"label_agreement":null},{"id":"W4318480221","doi":"10.2139/ssrn.4314522","title":"Allocate Electric Vehicles’ Public Charging Stations with Charging Demand Uncertainty","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","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":"Université du Québec à Montréal","funders":"","keywords":"Electric vehicle; Environmental economics; Business; Economics; Transport engineering; Natural resource economics; Engineering; Physics","score_opus":0.007090481317873264,"score_gpt":0.20578184726595,"score_spread":0.19869136594807674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318480221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54725105,0.00038794708,0.40864202,0.002085977,0.0002255652,0.00029152998,0.00062099716,0.0008185223,0.039676394],"genre_scores_gemma":[0.9924637,0.000034622823,0.004566734,0.000030947947,0.000026460708,0.000025183934,0.00006495093,0.00002998088,0.0027574978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987149,0.00039070024,0.000041473555,0.00026284537,0.0001513733,0.00043877788],"domain_scores_gemma":[0.99795747,0.0011203462,0.00020446586,0.00023201165,0.00030251077,0.00018314659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019491406,0.00073335407,0.0012386593,0.0007453695,0.0006083533,0.0025382591,0.001275902,0.0018271192,0.0093610585],"category_scores_gemma":[0.00637213,0.0008219574,0.000642361,0.0015524685,0.00055196596,0.0025066182,0.001398545,0.0012122045,0.0008343017],"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":[0.0008252825,0.00012822705,0.0025182744,0.00004676698,0.00008523592,0.0001054952,0.00008831215,0.9389958,0.0014296218,0.015226368,0.0018764838,0.038674146],"study_design_scores_gemma":[0.00004099299,0.00010476636,0.0012990519,0.0000057972,0.000034581502,0.000029303914,0.00015548972,0.980511,0.0009289591,0.015262443,0.0016135701,0.000014035306],"about_ca_topic_score_codex":0.0035168033,"about_ca_topic_score_gemma":0.00347494,"teacher_disagreement_score":0.0093610585,"about_ca_system_score_codex":0.0024379,"about_ca_system_score_gemma":0.0018176265,"threshold_uncertainty_score":0.031315863},"labels":[],"label_agreement":null},{"id":"W4318615464","doi":"10.2139/ssrn.4325623","title":"Examination of the Adoption Intention of New Energy Vehicles from the Perspective of Functional Attributes and Media Richness","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Perspective (graphical); Species richness; Advertising; Psychology; Energy (signal processing); Business; Marketing; Computer science; Ecology; Artificial intelligence; Mathematics; Statistics; Biology","score_opus":0.012311721633655459,"score_gpt":0.1996937765589584,"score_spread":0.18738205492530294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318615464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977043,0.000022665385,0.00012991931,0.00003776057,0.0000010354346,0.0000043686982,0.000014465935,0.0000011411875,0.0020843605],"genre_scores_gemma":[0.99979776,0.000011460871,0.000038086386,0.0000029787952,0.0000010980868,0.000002037897,0.000015778503,4.5865872e-7,0.00013039682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909294,0.0004141055,0.000048661717,0.000075810996,0.00022919242,0.0001393216],"domain_scores_gemma":[0.98179275,0.01358834,0.0022549294,0.00040423605,0.0013209353,0.0006387595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020722137,0.00022231352,0.0001812471,0.0014146342,0.00030422874,0.0015538143,0.00032623232,0.00052869023,0.0036605767],"category_scores_gemma":[0.009573532,0.00012267634,0.0004932097,0.0010298318,0.00060634845,0.0013709815,0.0006794148,0.0007974356,0.00023105548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004898793,0.0005012543,0.9692774,0.00005903487,0.00015280169,0.00020727923,0.008277932,0.0007252129,0.002981531,0.0039537707,0.00009266432,0.013281315],"study_design_scores_gemma":[0.000009860248,0.00041411867,0.97801447,0.00002280896,0.0001053398,0.00005995376,0.015969368,0.0034686485,0.000792687,0.0007233173,0.00040727033,0.000012218318],"about_ca_topic_score_codex":0.0053541544,"about_ca_topic_score_gemma":0.0037714124,"teacher_disagreement_score":0.0053541544,"about_ca_system_score_codex":0.00062534644,"about_ca_system_score_gemma":0.000561827,"threshold_uncertainty_score":0.0122458935},"labels":[],"label_agreement":null},{"id":"W4318711468","doi":"10.2139/ssrn.4243828","title":"Pro-environment Consumer Behavior and Electric Vehicle Adoptions: A Comparative Regional Meta-analysis","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Electric vehicle; Meta-analysis; Business; Economics; Physics","score_opus":0.027988225692843097,"score_gpt":0.23991641868793676,"score_spread":0.21192819299509366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318711468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5253557,0.45414576,0.0140098175,0.000892063,0.00069806207,0.00046578542,0.0027344024,0.00021289455,0.0014854593],"genre_scores_gemma":[0.9767949,0.01691531,0.0037477452,0.0005476104,0.00011130457,0.00037461618,0.0007903293,0.00009651956,0.0006216397],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.96961915,0.022124294,0.0024615012,0.0041399617,0.000874907,0.0007801513],"domain_scores_gemma":[0.9397818,0.04833806,0.004561201,0.004562809,0.0020012418,0.00075485173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025073778,0.0027515108,0.006840518,0.0038896054,0.0010862806,0.0035300478,0.0033925842,0.0030417528,0.0067277607],"category_scores_gemma":[0.04875796,0.0018119575,0.03711812,0.0055385884,0.0014769702,0.0019705372,0.0026515585,0.0030359265,0.0007337263],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004348439,0.00007119079,0.045782402,0.011042378,0.93415195,0.0001701633,0.0003718018,0.00053082674,0.000329403,0.00024824482,0.00031103578,0.002642133],"study_design_scores_gemma":[0.001336645,0.00053680665,0.028064366,0.0012220354,0.96629536,0.00013255108,0.0004384276,0.0007050045,0.00017559296,0.000338211,0.0007155694,0.000039449922],"about_ca_topic_score_codex":0.02074076,"about_ca_topic_score_gemma":0.029072236,"teacher_disagreement_score":0.025073778,"about_ca_system_score_codex":0.0016623267,"about_ca_system_score_gemma":0.0016252254,"threshold_uncertainty_score":0.13260442},"labels":[],"label_agreement":null},{"id":"W4318712249","doi":"10.1080/03155986.2023.2169493","title":"The trade-off between costs and carbon emissions from economic lot-sizing decisions","year":2023,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Sizing; Environmental economics; Sunk costs; Carbon fibers; Emissions trading; Order (exchange); Carbon price; Economics; Natural resource economics; Global warming; Economic cost; Environmental science; Microeconomics; Climate change; Computer science","score_opus":0.033653197820814905,"score_gpt":0.3026185853050191,"score_spread":0.26896538748420423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318712249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62795305,0.0023347053,0.32770643,0.0022058059,0.00009398629,0.0002510862,0.0005542252,0.00013923469,0.038761504],"genre_scores_gemma":[0.97426456,0.0006598134,0.023095975,0.00008093868,0.000022811175,0.00007427507,0.00010120279,0.000036912064,0.0016635557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982862,0.00093194755,0.00006690871,0.00011977489,0.00044633317,0.00014878079],"domain_scores_gemma":[0.98542374,0.012683184,0.0008690699,0.00040640138,0.00040268383,0.00021495055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004227846,0.0009914138,0.00072908384,0.0008247961,0.00053328095,0.00223691,0.0008957087,0.00086598593,0.0028924868],"category_scores_gemma":[0.014374113,0.0006612398,0.0006499156,0.0013604441,0.0011371543,0.0032359138,0.0007244104,0.0011228037,0.0001450231],"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":[0.00011838933,0.000049905204,0.001401051,0.00012559252,0.00006352499,0.0000444082,0.000033348755,0.96433264,0.0012111253,0.020172907,0.000217388,0.01222968],"study_design_scores_gemma":[0.000039035407,0.00029730765,0.004245127,0.00006942998,0.00010499222,0.000092482456,0.0001412492,0.9221026,0.0021713956,0.06927185,0.001414825,0.000049734346],"about_ca_topic_score_codex":0.002384229,"about_ca_topic_score_gemma":0.0058632838,"teacher_disagreement_score":0.004227846,"about_ca_system_score_codex":0.0028004101,"about_ca_system_score_gemma":0.0018716084,"threshold_uncertainty_score":0.022359252},"labels":[],"label_agreement":null},{"id":"W4318713886","doi":"10.2139/ssrn.4330155","title":"New Cathodes Now, Recycling Later: Dynamic Scenarios to Reduce Battery Material Use and Greenhouse Gas Emissions from U.S. Light-Duty Electric Vehicle Fleet","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Battery (electricity); Automotive engineering; Electric vehicle; Battery electric vehicle; Environmental science; Green vehicle; Engineering; Waste management; Environmental economics; Fuel efficiency; Economics","score_opus":0.006831003401782946,"score_gpt":0.21826609797813337,"score_spread":0.21143509457635043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318713886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8461323,0.00115739,0.012355693,0.016857423,0.00036068304,0.00027411073,0.006482211,0.00051285746,0.11586738],"genre_scores_gemma":[0.9911068,0.00039303012,0.0019144004,0.00046027816,0.00001954363,0.000061461666,0.0006636405,0.00004176654,0.005339208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942774,0.00017047836,0.000017202818,0.00007819247,0.0001054306,0.00020101652],"domain_scores_gemma":[0.99930274,0.00025932593,0.00005072726,0.000042427888,0.0001827487,0.00016201883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014012594,0.000811669,0.00048065314,0.0007852853,0.0010745063,0.0028229982,0.0016943266,0.0035232143,0.009052663],"category_scores_gemma":[0.0017589211,0.000505725,0.0010478955,0.000855114,0.0007829686,0.004499781,0.0015971328,0.0015061205,0.00074068597],"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":[0.0046766684,0.0016169742,0.024563573,0.0005830586,0.0003152075,0.003018839,0.0004943512,0.7271741,0.013086555,0.117768005,0.056299023,0.0504037],"study_design_scores_gemma":[0.0009608011,0.0018297216,0.028585082,0.0002905459,0.0004011511,0.0005453038,0.0072019207,0.79694366,0.011270889,0.0918029,0.059886497,0.00028157586],"about_ca_topic_score_codex":0.04676738,"about_ca_topic_score_gemma":0.082515165,"teacher_disagreement_score":0.04676738,"about_ca_system_score_codex":0.003823928,"about_ca_system_score_gemma":0.0022698552,"threshold_uncertainty_score":0.09299034},"labels":[],"label_agreement":null},{"id":"W4318777096","doi":"10.3390/su15032627","title":"Cradle-to-Grave Lifecycle Analysis of Greenhouse Gas Emissions of Light-Duty Passenger Vehicles in China: Towards a Carbon-Neutral Future","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"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":"Argonne National Laboratory; University of Chicago; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Greenhouse gas; Electrification; Gasoline; Environmental science; Electricity; Biofuel; Fossil fuel; Battery electric vehicle; Electric vehicle; Environmental engineering; Waste management; Engineering","score_opus":0.004109879136393912,"score_gpt":0.22956889066389122,"score_spread":0.2254590115274973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318777096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99656314,0.0001320735,0.0016003399,0.0000558419,0.0000017333685,0.0000157272,0.00047071875,0.000017732875,0.0011427106],"genre_scores_gemma":[0.99837327,0.00012757542,0.0004256373,0.000006712851,0.0000013301875,0.000010809919,0.0006630438,0.000004533772,0.00038711884],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998209,0.000019093015,0.000011802374,0.000036031495,0.000049072838,0.000063068546],"domain_scores_gemma":[0.9998319,0.00003123783,0.000037943035,0.0000129344835,0.000066761684,0.000019210265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046201615,0.00052186305,0.00024192264,0.0018367497,0.0004150188,0.000637143,0.0005005076,0.00031445385,0.0006446378],"category_scores_gemma":[0.0003463629,0.00025262233,0.0011146527,0.00131126,0.0003613826,0.00073901785,0.00059184374,0.00020314669,0.00007188405],"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":[0.00018798292,0.00011263879,0.5690722,0.00018477683,0.00018693156,0.0007372558,0.0004348482,0.39298886,0.0062961676,0.004925207,0.0006720503,0.024201127],"study_design_scores_gemma":[0.000018454208,0.00010309159,0.596875,0.000029265942,0.0001397231,0.00008661187,0.001041438,0.39481625,0.0031617258,0.0018949921,0.0017830655,0.00005022151],"about_ca_topic_score_codex":0.23929323,"about_ca_topic_score_gemma":0.13802502,"teacher_disagreement_score":0.23929323,"about_ca_system_score_codex":0.0025458108,"about_ca_system_score_gemma":0.0018863325,"threshold_uncertainty_score":0.47580075},"labels":[],"label_agreement":null},{"id":"W4319297857","doi":"10.3390/electronics12040790","title":"Applications of Clustering Methods for Different Aspects of Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":48,"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 Alberta","funders":"Canada First Research Excellence Fund","keywords":"Cluster analysis; Computer science; Data mining; Operations research; Engineering; Artificial intelligence","score_opus":0.008742816815614287,"score_gpt":0.27265064538408423,"score_spread":0.26390782856846995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319297857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007703825,0.008217479,0.9727313,0.00075903,0.0003114123,0.00018184954,0.0005398043,0.00055210677,0.009003141],"genre_scores_gemma":[0.25765797,0.018739855,0.7100491,0.0003978509,0.00077059504,0.00038964266,0.0023918627,0.00041833302,0.009184765],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977799,0.0007545868,0.000184917,0.00054426113,0.0006326703,0.000103570186],"domain_scores_gemma":[0.99658656,0.0015442123,0.00033679634,0.00031590095,0.0011455297,0.00007101215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020031626,0.0013536368,0.00091595796,0.005070827,0.0010604878,0.0018582818,0.0015808323,0.0012887224,0.002144951],"category_scores_gemma":[0.006366674,0.00053802074,0.001749593,0.0064750533,0.00067101495,0.001558988,0.0011841784,0.0011820451,0.0014362254],"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":[0.00012811419,0.00008087608,0.0058811926,0.0018252014,0.0005995227,0.00026625005,0.0006560607,0.26733848,0.0051416256,0.04963575,0.014805812,0.6536411],"study_design_scores_gemma":[0.00002242161,0.00009625557,0.0072809015,0.00042170484,0.00021273739,0.0006073748,0.0008029775,0.8274187,0.007606619,0.088307425,0.06703262,0.00019018642],"about_ca_topic_score_codex":0.00883082,"about_ca_topic_score_gemma":0.00875095,"teacher_disagreement_score":0.00883082,"about_ca_system_score_codex":0.0015285092,"about_ca_system_score_gemma":0.001402859,"threshold_uncertainty_score":0.017558813},"labels":[],"label_agreement":null},{"id":"W4319319456","doi":"10.3390/en16041592","title":"Electric Vehicle User Behavior: An Analysis of Charging Station Utilization in Canada","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Electric vehicle; Grid; Baseline (sea); Service (business); Implementation; Charging station; Environmental economics; Computer science; Telecommunications; Engineering; Transport engineering; Business; Power (physics); Marketing","score_opus":0.009934859016885123,"score_gpt":0.21965873234442143,"score_spread":0.2097238733275363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953466,0.000094726776,0.00015119131,0.00007539597,0.0000025614647,0.000019557185,0.00289947,0.000014135051,0.0013962709],"genre_scores_gemma":[0.996351,0.00017420156,0.0002646774,0.00003488546,0.0000012332082,0.00001261753,0.002072985,0.000008881589,0.0010795918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938595,0.000053711337,0.000043464257,0.00009691415,0.00023809624,0.00018179446],"domain_scores_gemma":[0.99782133,0.00023141303,0.00025360688,0.00007131004,0.0013072037,0.00031509015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635918,0.00022243525,0.00033400144,0.0018400537,0.0013633216,0.0011879286,0.0008283921,0.00033694977,0.0013880718],"category_scores_gemma":[0.002645071,0.00021457755,0.00052154384,0.0060293716,0.0005239502,0.00035899374,0.00074270746,0.0003611336,0.00025437822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010966975,0.000040559396,0.9838483,0.000037595866,0.000059021626,0.00009366856,0.0019677705,0.0007125297,0.0006784416,0.00020717127,0.0010141572,0.011231116],"study_design_scores_gemma":[0.00000203054,0.000015880305,0.9951475,0.000011134662,0.000010877682,0.000037071884,0.0025589191,0.0011236578,0.00014546934,0.000011629119,0.00092311925,0.000012851876],"about_ca_topic_score_codex":0.9895865,"about_ca_topic_score_gemma":0.9940805,"teacher_disagreement_score":0.015506071,"about_ca_system_score_codex":0.015506071,"about_ca_system_score_gemma":0.015787072,"threshold_uncertainty_score":0.11250496},"labels":[],"label_agreement":null},{"id":"W4319454450","doi":"10.1155/2023/5021883","title":"Valuation of Urban Public Bus Electrification with Open Data and Physics-Informed Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fondazione Centro Studi Enel","keywords":"Electrification; Public transport; Metropolitan area; Electricity; Transport engineering; Valuation (finance); Environmental economics; Engineering; Capital cost; Bespoke; Computer science; Business; Economics; Finance; Electrical engineering; Geography","score_opus":0.022363074099513963,"score_gpt":0.25837444831198597,"score_spread":0.236011374212472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319454450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49792427,0.00069456175,0.4604718,0.0029304721,0.000111378526,0.0003009745,0.01375137,0.0014113779,0.02240379],"genre_scores_gemma":[0.9568339,0.00019958052,0.035933428,0.00011899246,0.000047809048,0.0001232535,0.0054901685,0.000079611375,0.0011732448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876994,0.0005950442,0.00006490893,0.00022454259,0.00023483146,0.00011078117],"domain_scores_gemma":[0.99047184,0.006268215,0.0012819398,0.001071251,0.000701473,0.00020527492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027882408,0.0010935398,0.00066193275,0.0028484534,0.00035561758,0.00267041,0.0016531126,0.0016510702,0.0033802553],"category_scores_gemma":[0.017333915,0.00063622976,0.0012832143,0.0029090398,0.0012077505,0.0045517213,0.001402805,0.0016146562,0.00044573584],"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":[0.000040130653,0.00007966546,0.0096972,0.00005137015,0.0000546957,0.00007650546,0.00003176104,0.9672619,0.000112394846,0.012949516,0.001050171,0.008594725],"study_design_scores_gemma":[0.0000054209436,0.000012121379,0.0016200695,0.00001578976,0.000004909835,0.000012238826,0.000028019518,0.9837622,0.00013885154,0.013786958,0.00060286786,0.000010601289],"about_ca_topic_score_codex":0.01946125,"about_ca_topic_score_gemma":0.01511509,"teacher_disagreement_score":0.01946125,"about_ca_system_score_codex":0.0026187345,"about_ca_system_score_gemma":0.0011556316,"threshold_uncertainty_score":0.03869593},"labels":[],"label_agreement":null},{"id":"W4319781062","doi":"10.1115/imece2022-94653","title":"Design Strategies for Flywheel Energy Storage Systems in EV Fast Charging","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Flywheel; Energy storage; Automotive engineering; Context (archaeology); Electric vehicle; Grid; Computer science; Flywheel energy storage; Electric power system; Electrical engineering; Reliability engineering; Power (physics); Engineering","score_opus":0.010090975507627485,"score_gpt":0.19080059526573406,"score_spread":0.18070961975810657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319781062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22395116,0.0042905966,0.71378565,0.00091496116,0.00028857976,0.00058164826,0.0002250068,0.00059346226,0.05536908],"genre_scores_gemma":[0.9509452,0.0006754251,0.04050527,0.000054905304,0.000018193032,0.000114864815,0.000040930106,0.000020731195,0.0076244324],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991083,0.00001578071,0.0000073540127,0.000016386854,0.00003394635,0.000015579317],"domain_scores_gemma":[0.99990463,0.00001847148,0.000021403153,0.000007870672,0.000041264,0.000006301565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019299315,0.0005349967,0.00022032426,0.00037689594,0.00036293347,0.00072663324,0.0005468511,0.00047754828,0.0038636315],"category_scores_gemma":[0.00020709394,0.00018394674,0.00023896444,0.00017702884,0.00022954697,0.0006510895,0.00031488735,0.00021572737,0.0005464392],"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":[0.00043723243,0.00019482337,0.0017600816,0.0012177717,0.00008735129,0.0007362507,0.00036705035,0.32839528,0.40361515,0.060528062,0.0028532841,0.19980772],"study_design_scores_gemma":[0.00009031318,0.0009859138,0.0012064931,0.00016407436,0.00006405189,0.00039220456,0.00034749883,0.8284697,0.111092456,0.016088547,0.041058563,0.0000401955],"about_ca_topic_score_codex":0.0007912981,"about_ca_topic_score_gemma":0.0018821026,"teacher_disagreement_score":0.0038636315,"about_ca_system_score_codex":0.0003909557,"about_ca_system_score_gemma":0.00040342906,"threshold_uncertainty_score":0.012925148},"labels":[],"label_agreement":null},{"id":"W4321093762","doi":"10.3390/su15043642","title":"The Robustness of Battery Electric Bus Transit Networks under Charging Infrastructure Disruptions","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Minification; Computer science; Transit system; Reliability engineering; Real-time computing; Engineering; Transport engineering; Public transport; Transit (satellite)","score_opus":0.003847458059667623,"score_gpt":0.2111266692192944,"score_spread":0.20727921115962678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321093762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480463,0.00021393358,0.04729174,0.0003164409,0.000021971238,0.00003124715,0.00023216581,0.00016108532,0.003685065],"genre_scores_gemma":[0.9992132,0.00004531107,0.0004874124,0.000006789349,0.0000024104158,0.0000043684095,0.000042407988,0.00000727505,0.00019088028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996032,0.00015085007,0.000020832551,0.0000684141,0.000076260905,0.00008038135],"domain_scores_gemma":[0.9971615,0.0017052295,0.0006067689,0.00016809719,0.0002769045,0.000081582846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010491993,0.00047913275,0.0003528185,0.00069571205,0.00031648186,0.0007847333,0.00043287897,0.00043495357,0.0009962332],"category_scores_gemma":[0.006267657,0.00019775535,0.000394916,0.00038891996,0.00083107076,0.0010146057,0.000647579,0.00042318346,0.00009404199],"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":[0.00010134429,0.000013380705,0.0029894258,0.000021556996,0.000028051214,0.00008912524,0.000026622438,0.9898364,0.002579233,0.0018316872,0.00012842372,0.002354652],"study_design_scores_gemma":[0.0000057710704,0.00007727294,0.003442945,0.000006187783,0.000014484497,0.00004608171,0.00006784919,0.9924315,0.0014186357,0.0023234072,0.00015570327,0.0000101454425],"about_ca_topic_score_codex":0.008294665,"about_ca_topic_score_gemma":0.002831268,"teacher_disagreement_score":0.008294665,"about_ca_system_score_codex":0.0012160891,"about_ca_system_score_gemma":0.00041699148,"threshold_uncertainty_score":0.016492784},"labels":[],"label_agreement":null},{"id":"W4321498171","doi":"10.3390/en16052104","title":"Influence of Battery Energy, Charging Power, and Charging Locations upon EVs’ Ability to Meet Trip Needs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"University of California, Davis","keywords":"Battery (electricity); Automotive engineering; Sample (material); Transport engineering; Electric vehicle; Driving range; Population; Engineering; Power (physics)","score_opus":0.004967595403088396,"score_gpt":0.20230280667954714,"score_spread":0.19733521127645876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321498171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899215,0.000019324722,0.00027226002,0.000020839045,0.0000015506649,0.0000046471328,0.00014103368,0.000012477667,0.00053580146],"genre_scores_gemma":[0.9994393,0.00001362529,0.00011997353,0.0000054363827,9.535631e-7,0.0000029486912,0.0002307873,0.000005747838,0.00018124483],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994742,0.00015012827,0.000028611415,0.00009631301,0.000084316955,0.00016636397],"domain_scores_gemma":[0.9950642,0.0034566491,0.0003814994,0.00030618577,0.00051197206,0.0002795638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010762941,0.00035550504,0.00027721096,0.00044484125,0.00027682932,0.00092871796,0.00042954367,0.0004386519,0.0014717759],"category_scores_gemma":[0.0076587903,0.0002238475,0.00050980557,0.00040013,0.00033100462,0.0009143719,0.00059290207,0.00040036978,0.00036685946],"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":[0.0011036604,0.00027496408,0.7164442,0.000040172774,0.00022308537,0.0003230349,0.00015897385,0.26278895,0.0054634297,0.00040203647,0.0006506289,0.012126912],"study_design_scores_gemma":[0.000042008072,0.00090386235,0.6747867,0.000014874243,0.00015332657,0.00038969217,0.0014864176,0.31381255,0.0065590004,0.0005064525,0.0012996263,0.000045642842],"about_ca_topic_score_codex":0.015260734,"about_ca_topic_score_gemma":0.01920585,"teacher_disagreement_score":0.015260734,"about_ca_system_score_codex":0.0004964347,"about_ca_system_score_gemma":0.00042542425,"threshold_uncertainty_score":0.030343771},"labels":[],"label_agreement":null},{"id":"W4321603319","doi":"10.2139/ssrn.4367985","title":"Integrated Modeling of Electric Vehicle Energy Demand and Regional Electricity Generation Dispatch","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economic dispatch; Electricity; Electricity demand; Electric vehicle; Electricity generation; Energy modeling; Energy demand; Environmental economics; Automotive engineering; Business; Electric power system; Economics; Engineering; Power (physics); Efficient energy use; Electrical engineering","score_opus":0.008584850489567754,"score_gpt":0.1959163070812032,"score_spread":0.18733145659163544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321603319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53373504,0.0007946884,0.3698558,0.001493926,0.00037266655,0.000098362776,0.0025183905,0.00076711044,0.09036401],"genre_scores_gemma":[0.98165566,0.00013793983,0.003765854,0.000041119903,0.000034530272,0.000029311497,0.00035271197,0.000068338006,0.01391444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997404,0.000074198935,0.000010140665,0.000059924576,0.000051142244,0.0000641935],"domain_scores_gemma":[0.9996674,0.0001561989,0.000040730214,0.000018677089,0.00008223697,0.000034738965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000347698,0.00066885434,0.0010760768,0.00035074307,0.00034097163,0.0017015073,0.0013415708,0.00140359,0.005229474],"category_scores_gemma":[0.0011601842,0.00077530055,0.00078726455,0.0006574249,0.0004256532,0.0015044293,0.00068166794,0.0012671261,0.00069260865],"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":[0.000011498579,0.000010889231,0.00019845125,0.0000034824627,0.00000758074,0.0000132202,0.000004491187,0.99801564,0.000098447665,0.0010216413,0.00011446451,0.00050016935],"study_design_scores_gemma":[0.0000026593373,0.0000040002938,0.00010389583,5.967806e-7,0.0000021460173,0.0000016977625,0.000003306422,0.9994816,0.000030212494,0.000274106,0.00009445408,0.0000014419473],"about_ca_topic_score_codex":0.056842476,"about_ca_topic_score_gemma":0.034071602,"teacher_disagreement_score":0.056842476,"about_ca_system_score_codex":0.0016077979,"about_ca_system_score_gemma":0.0013562546,"threshold_uncertainty_score":0.11302322},"labels":[],"label_agreement":null},{"id":"W4321780243","doi":"10.1080/01969722.2023.2175118","title":"Fractional-Sea Lion Optimization Based Routing and Charge Scheduling in Internet of Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Cybernetics & Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Scheduling (production processes); Mathematical optimization; Schedule; Simulation; Real-time computing; Mathematics","score_opus":0.007556296912056153,"score_gpt":0.20496056848225755,"score_spread":0.1974042715702014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321780243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11847225,0.00045966866,0.8715783,0.00036619438,0.00009918654,0.000057072113,0.00009235395,0.00016586971,0.008709159],"genre_scores_gemma":[0.9574267,0.00019701007,0.03944688,0.000052559597,0.000015248844,0.000051939875,0.00005068287,0.000023379233,0.0027354422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979955,0.00007008092,0.000007278972,0.000033047167,0.000041535986,0.000048588692],"domain_scores_gemma":[0.9998122,0.000099436715,0.00003381409,0.000009475056,0.000029095825,0.00001593929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047940967,0.0004930771,0.0006163433,0.0004285486,0.00046445732,0.00079127436,0.0005855779,0.0006149345,0.0010003948],"category_scores_gemma":[0.0008314077,0.00029459147,0.00056272926,0.0004804202,0.0005283572,0.0006418689,0.0004559359,0.00044507353,0.00006655239],"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":[0.00000845977,0.0000051727693,0.00011804479,0.000006028313,0.000004080999,0.000011322679,0.000006483102,0.995535,0.00014263588,0.0019373934,0.00007636554,0.0021490217],"study_design_scores_gemma":[0.0000013198849,0.000004916442,0.000028187407,7.6809704e-7,0.0000013911266,0.0000018256201,0.0000036620663,0.99909616,0.000042223408,0.0007173022,0.00010137818,9.528604e-7],"about_ca_topic_score_codex":0.019679666,"about_ca_topic_score_gemma":0.010751821,"teacher_disagreement_score":0.019679666,"about_ca_system_score_codex":0.0014461833,"about_ca_system_score_gemma":0.001366205,"threshold_uncertainty_score":0.03913021},"labels":[],"label_agreement":null},{"id":"W4321784174","doi":"10.1016/j.trd.2023.103661","title":"Environment-economic analysis of diesel, hybrid electric, plug-in hybrid electric trucks in China","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Truck; Automotive engineering; Diesel fuel; Battery (electricity); Electricity; Plug-in; Environmental science; Engineering; Computer science; Electrical engineering; Power (physics)","score_opus":0.011684099030129404,"score_gpt":0.2340367253538165,"score_spread":0.2223526263236871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321784174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962213,0.00026081796,0.00053396926,0.00020035556,0.0000070887054,0.00001780293,0.00035074944,0.000011621779,0.0023961945],"genre_scores_gemma":[0.9980597,0.00017512162,0.00006301319,0.000012568659,0.0000040653204,0.0000061549645,0.00021523265,0.000002940863,0.0014612138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99939764,0.00007830473,0.000024264291,0.00007738102,0.00011282701,0.00030955416],"domain_scores_gemma":[0.9994979,0.0001191333,0.00008795638,0.00002031544,0.00013532957,0.00013937686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311831,0.0005871889,0.000725108,0.0019343845,0.0010403086,0.0022962345,0.0009526218,0.0006940184,0.0021807232],"category_scores_gemma":[0.0006961438,0.00048417135,0.0019687957,0.0021967492,0.0008213835,0.0015093295,0.0011572896,0.00060966425,0.0001062809],"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":[0.0009223805,0.0006574267,0.32458276,0.00028916748,0.0009159083,0.004548369,0.00056617864,0.619618,0.004542114,0.027398676,0.0024527884,0.01350621],"study_design_scores_gemma":[0.000085295214,0.00036307814,0.48919338,0.000040176805,0.0004855197,0.00023432454,0.002916205,0.49591497,0.0013447365,0.0057495157,0.0035202203,0.00015259485],"about_ca_topic_score_codex":0.26243243,"about_ca_topic_score_gemma":0.2566713,"teacher_disagreement_score":0.26243243,"about_ca_system_score_codex":0.008730833,"about_ca_system_score_gemma":0.0060218372,"threshold_uncertainty_score":0.5218098},"labels":[],"label_agreement":null},{"id":"W4321787770","doi":"10.3390/en16052179","title":"Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"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 Toronto; Université du Québec en Outaouais; Université de Sherbrooke","funders":"","keywords":"Wind power; Renewable energy; Automotive engineering; Computer science; Energy storage; Energy management; Electric power system; Grid; Smart grid; Intermittent energy source; Reliability engineering; Power (physics); Simulation; Engineering; Distributed generation; Electrical engineering; Energy (signal processing)","score_opus":0.0045058135110507685,"score_gpt":0.2194966204306643,"score_spread":0.21499080691961353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321787770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016715443,0.00018171204,0.9702889,0.00062876655,0.00014892388,0.00028758822,0.00018335042,0.00023086864,0.01133459],"genre_scores_gemma":[0.8825909,0.00032696885,0.10518445,0.00031981556,0.00010287364,0.0009565227,0.00017341055,0.000055850724,0.010289179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979824,0.0008678674,0.000097540695,0.0003482282,0.00039690686,0.00030703068],"domain_scores_gemma":[0.9972242,0.0018336492,0.00028833133,0.00011953183,0.00042004324,0.00011439119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024667038,0.0011412753,0.0009945594,0.0005549465,0.0007016222,0.0017727131,0.0019872824,0.0017557023,0.004676393],"category_scores_gemma":[0.005504114,0.00038284116,0.0007793531,0.0006137064,0.0014104499,0.0018710544,0.0014415104,0.0025182266,0.00062323804],"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":[0.0000905612,0.00008210302,0.00036502082,0.000054334472,0.000028663642,0.00015644469,0.00007488109,0.8861452,0.00074125855,0.099693865,0.0017070227,0.010860653],"study_design_scores_gemma":[0.0000118503485,0.00002545629,0.000027466389,0.0000036613749,0.0000038019339,0.000013193117,0.0000061027717,0.9884343,0.00007661942,0.011041175,0.00035198792,0.000004298687],"about_ca_topic_score_codex":0.0076229344,"about_ca_topic_score_gemma":0.006127989,"teacher_disagreement_score":0.0076229344,"about_ca_system_score_codex":0.002087408,"about_ca_system_score_gemma":0.0025766764,"threshold_uncertainty_score":0.015644133},"labels":[],"label_agreement":null},{"id":"W4322832403","doi":"10.5281/zenodo.7694295","title":"Decentralized stochastic programming for optimal vehicle-to-grid operation in smart grid with renewable generation","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Grid; Renewable energy; Smart grid; Computer science; Stochastic programming; Distributed computing; Mathematical optimization; Engineering; Electrical engineering; Mathematics","score_opus":0.01679316115889837,"score_gpt":0.21388876136681417,"score_spread":0.1970956002079158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322832403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027229413,0.00013474209,0.9686562,0.00022780542,0.00003640252,0.000055189405,0.00007246552,0.00022026217,0.0033675614],"genre_scores_gemma":[0.92401487,0.00017117454,0.07202889,0.00009014709,0.000035721714,0.00015453392,0.00013031266,0.00009278983,0.0032815714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992906,0.00028223198,0.000022591317,0.00010760482,0.00015255912,0.00014436571],"domain_scores_gemma":[0.99872226,0.00083331997,0.00015814131,0.000041240997,0.00016203114,0.00008307094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013255216,0.00092269917,0.0014482368,0.0003087075,0.00048099319,0.0009613305,0.0008607608,0.0007932686,0.00230637],"category_scores_gemma":[0.0023610294,0.00062875496,0.0007952103,0.00047497288,0.00068665814,0.00076756225,0.0009038765,0.0012328193,0.00023019088],"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":[0.000018195034,0.000008299115,0.00007862155,0.000011706978,0.0000058628716,0.00001670269,0.000008294249,0.9949661,0.00016601429,0.0030460812,0.00013251562,0.0015416087],"study_design_scores_gemma":[0.0000028774818,0.000004690393,0.000013461937,7.010382e-7,0.0000010217824,0.000001341835,0.0000021079609,0.9989635,0.000038032438,0.00092600484,0.0000453437,8.4644296e-7],"about_ca_topic_score_codex":0.009504293,"about_ca_topic_score_gemma":0.008468702,"teacher_disagreement_score":0.009504293,"about_ca_system_score_codex":0.0012330766,"about_ca_system_score_gemma":0.0019513357,"threshold_uncertainty_score":0.01889795},"labels":[],"label_agreement":null},{"id":"W4323354598","doi":"10.1016/j.energy.2023.127138","title":"Analyzing the performance of electricity, heating, and cooling supply nexus in a hybrid energy system of airport under uncertainty","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Electricity; Mains electricity; Stochastic programming; Nexus (standard); Fuzzy logic; Reliability (semiconductor); Computer science; Constraint (computer-aided design); Investment (military); Energy supply; Renewable energy; Reliability engineering; Operations research; Energy (signal processing); Mathematical optimization; Engineering; Power (physics); Electrical engineering; Mechanical engineering","score_opus":0.004405252526510249,"score_gpt":0.18439019653096894,"score_spread":0.1799849440044587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323354598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838552,0.00024121547,0.01198038,0.00047462212,0.000027286504,0.000026697302,0.0002695759,0.00007279913,0.0030522372],"genre_scores_gemma":[0.99926084,0.000022403645,0.00028913625,0.000008172853,0.0000032888433,0.000004349039,0.000048928043,0.0000056312847,0.00035718977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994123,0.00020465128,0.000020811298,0.00009414556,0.00004928583,0.00021879749],"domain_scores_gemma":[0.996007,0.0031073669,0.00027573112,0.000079089274,0.0003157774,0.0002150142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019197755,0.00082463067,0.0010464041,0.0005771255,0.00075410237,0.0017171083,0.00079644413,0.0015316235,0.0024782007],"category_scores_gemma":[0.0037664247,0.00058588636,0.00076700764,0.0006226449,0.0009517075,0.0015285078,0.0009228846,0.0011025696,0.0001061469],"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":[0.0001513111,0.000024822852,0.0022094238,0.000023216262,0.000031980228,0.00013827684,0.00002158017,0.9945775,0.00047678038,0.0014285457,0.00021230256,0.0007042615],"study_design_scores_gemma":[0.000006854672,0.00003854546,0.0012459909,0.0000023827095,0.00001231874,0.000009854483,0.00004997771,0.99792045,0.00017100356,0.0004994065,0.000036713674,0.0000065918343],"about_ca_topic_score_codex":0.04241796,"about_ca_topic_score_gemma":0.018291749,"teacher_disagreement_score":0.04241796,"about_ca_system_score_codex":0.0019220072,"about_ca_system_score_gemma":0.0010574814,"threshold_uncertainty_score":0.08434206},"labels":[],"label_agreement":null},{"id":"W4323644051","doi":"10.1109/msec.2023.3247374","title":"A Real-Time Cosimulation Testbed for Electric Vehicle Charging and Smart Grid Security","year":2023,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Smart grid; Embedded system; Computer science; Electric vehicle; Grid; Computer security; Engineering; Computer network; Electrical engineering","score_opus":0.007762457547604252,"score_gpt":0.22712651724344973,"score_spread":0.2193640596958455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323644051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45752794,0.00029155938,0.5124571,0.00074666046,0.00068383664,0.0006809127,0.0011139573,0.0058991397,0.020598894],"genre_scores_gemma":[0.9279367,0.00011573593,0.06864891,0.000069349066,0.000021065765,0.0003998394,0.00061672105,0.00010904565,0.002082632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999572,0.00017196385,0.000026977154,0.00005392275,0.00010805227,0.00006709591],"domain_scores_gemma":[0.99932253,0.00022212543,0.00006869218,0.00012037275,0.00013879166,0.00012748342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078916777,0.0006653544,0.0003720479,0.00034262025,0.00036211993,0.00045495972,0.0009477595,0.00045257463,0.002904228],"category_scores_gemma":[0.0014567614,0.00013487646,0.00027100704,0.00023246641,0.0005011069,0.00069419836,0.000804818,0.000853077,0.0003699497],"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":[0.001183384,0.0013203371,0.0067945784,0.0004497133,0.000124629,0.0006140149,0.00036577997,0.74937433,0.13385883,0.042113066,0.006651366,0.057150017],"study_design_scores_gemma":[0.00013420051,0.0008646629,0.0010205227,0.000017313381,0.000017137168,0.00007664372,0.00007298547,0.9510192,0.034250934,0.0033836074,0.009113912,0.000028781746],"about_ca_topic_score_codex":0.001631489,"about_ca_topic_score_gemma":0.0013911109,"teacher_disagreement_score":0.002904228,"about_ca_system_score_codex":0.00043680047,"about_ca_system_score_gemma":0.00075218786,"threshold_uncertainty_score":0.009715617},"labels":[],"label_agreement":null},{"id":"W4324057826","doi":"10.1016/j.egyr.2023.03.035","title":"The social cost of carbon of different automotive powertrains: A comparative case study of Thailand","year":2023,"lang":"en","type":"article","venue":"Energy Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"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":"H2020 Marie Skłodowska-Curie Actions; Department of Mechanical Engineering, University of Alberta; Chiang Mai University","keywords":"Subsidy; Social cost; Incentive; Powertrain; Environmental economics; Automotive industry; Context (archaeology); Consumption (sociology); Government (linguistics); Business; Energy consumption; Internal combustion engine; Economics; Engineering; Automotive engineering","score_opus":0.014202301279467902,"score_gpt":0.2540116038905894,"score_spread":0.23980930261112152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324057826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948409,0.000118054435,0.00067297026,0.000061081344,0.0000039211445,0.000057092297,0.00028145153,0.000004925333,0.0039596367],"genre_scores_gemma":[0.998403,0.0001602861,0.00044201812,0.000006352444,0.0000027648482,0.000025997073,0.00015244223,0.00000426295,0.0008029009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99902904,0.00046471562,0.000039330454,0.000088162975,0.00015475371,0.00022405937],"domain_scores_gemma":[0.99666,0.0023570934,0.00025510718,0.00010643723,0.0004294549,0.00019194346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286744,0.0008531871,0.00047816872,0.0018610044,0.0012866749,0.0017642338,0.001060311,0.0012688542,0.0033073386],"category_scores_gemma":[0.0023967617,0.00035855197,0.0012974754,0.0023203525,0.0010299953,0.0017050202,0.0009811897,0.0010802051,0.0001789906],"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":[0.0020202012,0.0037015856,0.12039283,0.0010371127,0.00070933386,0.023458723,0.0030278005,0.7826146,0.0046085827,0.022066088,0.0025534388,0.033809632],"study_design_scores_gemma":[0.00034443405,0.0041404087,0.1284978,0.00023793355,0.0007063737,0.0030676976,0.033107527,0.8076614,0.008959502,0.006254416,0.0066892304,0.00033329552],"about_ca_topic_score_codex":0.07012172,"about_ca_topic_score_gemma":0.05606615,"teacher_disagreement_score":0.07012172,"about_ca_system_score_codex":0.005300914,"about_ca_system_score_gemma":0.0013711505,"threshold_uncertainty_score":0.13942713},"labels":[],"label_agreement":null},{"id":"W4324149167","doi":"10.1186/s42162-023-00261-8","title":"Using EV charging control to provide building load flexibility","year":2023,"lang":"en","type":"article","venue":"Energy Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Architectural engineering; Control (management); Computer science; Automotive engineering; Business; Aeronautics; Engineering; Economics; Artificial intelligence","score_opus":0.013335792486765932,"score_gpt":0.23832585002504267,"score_spread":0.22499005753827672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324149167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17361836,0.00020623454,0.8081201,0.00019647383,0.000080627,0.000047371377,0.000053414486,0.0010548086,0.016622743],"genre_scores_gemma":[0.9948512,0.000030749114,0.0042066053,0.000019174819,0.0000063961943,0.000007985344,0.000015114409,0.000014876902,0.00084784796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998534,0.000024880623,0.000008472684,0.000030369007,0.000046194727,0.00003666074],"domain_scores_gemma":[0.99979085,0.00006605485,0.000036005065,0.000038946946,0.000054688426,0.000013414711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022505148,0.00049746304,0.00023807569,0.00017280735,0.00020786961,0.00053501886,0.00053758454,0.00022223448,0.0018493957],"category_scores_gemma":[0.00063615513,0.00012634332,0.00020486543,0.00018096752,0.00026571576,0.00047825466,0.0005398433,0.00037588537,0.0002608203],"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":[0.0003301966,0.00020165487,0.0020670467,0.0002007681,0.00004855138,0.0002517949,0.00014402143,0.745031,0.080307275,0.011723927,0.0020757725,0.15761806],"study_design_scores_gemma":[0.000018259901,0.00010564891,0.00051790837,0.000008161637,0.000015075507,0.00005641787,0.000040569626,0.981561,0.012033792,0.0031581619,0.002473259,0.000011740996],"about_ca_topic_score_codex":0.001651743,"about_ca_topic_score_gemma":0.0020580217,"teacher_disagreement_score":0.0018493957,"about_ca_system_score_codex":0.00017993893,"about_ca_system_score_gemma":0.00025484478,"threshold_uncertainty_score":0.0061867833},"labels":[],"label_agreement":null},{"id":"W4327600258","doi":"10.1049/tje2.12252","title":"New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network","year":2023,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"Université Laval","funders":"","keywords":"Sizing; Computer science; Charging station; Node (physics); Automotive engineering; Plug-in; Point (geometry); Electric vehicle; Power (physics); Operations research; Engineering","score_opus":0.008385368802273105,"score_gpt":0.2212947004897251,"score_spread":0.212909331687452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327600258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089365914,0.00030643088,0.89459467,0.0002822484,0.000052441548,0.00020918745,0.00013171036,0.0001564881,0.014900904],"genre_scores_gemma":[0.91808635,0.0002209367,0.07545579,0.000049909864,0.000016178932,0.0001973435,0.000112060545,0.000027201748,0.005834309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.000085724656,0.000009188975,0.000049460417,0.000053086824,0.00006446366],"domain_scores_gemma":[0.9997464,0.000107699394,0.000035859946,0.0000086327245,0.00006419082,0.000037211146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064844434,0.0009399071,0.00086004834,0.0008410677,0.0006380937,0.0013315076,0.0011017292,0.00081137364,0.004049008],"category_scores_gemma":[0.0008684774,0.0007439308,0.0006781371,0.00076049013,0.000573307,0.0007849935,0.00076849794,0.00063340337,0.0001946206],"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":[0.000030506686,0.000017491271,0.00020099842,0.000024058252,0.000012714992,0.00007668055,0.00002865611,0.9906515,0.0005507317,0.003962853,0.0003112584,0.004132527],"study_design_scores_gemma":[0.0000055850246,0.000014113608,0.000052746578,0.0000027171257,0.00000547296,0.0000053517133,0.000017616003,0.9983974,0.00012940579,0.0011848654,0.00018218049,0.0000025266593],"about_ca_topic_score_codex":0.01703468,"about_ca_topic_score_gemma":0.013549806,"teacher_disagreement_score":0.01703468,"about_ca_system_score_codex":0.0015973928,"about_ca_system_score_gemma":0.0017366755,"threshold_uncertainty_score":0.033871055},"labels":[],"label_agreement":null},{"id":"W4327692915","doi":"10.2172/1961563","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Third Quarter 2022","year":2023,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Otsuka Canada Pharmaceutical; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electricity; Transport engineering; Renewable energy; Eleventh; Electric vehicle; Business; Telecommunications; Environmental economics; Engineering; Electrical engineering; Geography; Economics","score_opus":0.014701228137329055,"score_gpt":0.25158638596500726,"score_spread":0.23688515782767822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327692915","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19508778,0.0024541924,0.0029406063,0.003528166,0.0005538166,0.000106761734,0.680736,0.0014906598,0.11310197],"genre_scores_gemma":[0.33912846,0.005475491,0.004080577,0.0011390314,0.00021861415,0.000294323,0.5917184,0.00042261044,0.057522546],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995135,0.000024751676,0.000033031378,0.000054268636,0.0002821496,0.000092307375],"domain_scores_gemma":[0.9983803,0.000084507476,0.00028833814,0.00006175233,0.0010763467,0.00010869089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054197776,0.00040445817,0.00018546327,0.0019484876,0.00029132952,0.0014353764,0.00030529537,0.00035241607,0.005430082],"category_scores_gemma":[0.0015945899,0.00020031311,0.0005015241,0.0049248096,0.00008247576,0.0010026357,0.00062416587,0.0006138114,0.0042739166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018700799,0.00011198548,0.21921131,0.0005283394,0.00008726613,0.0002603128,0.0005701382,0.0034807292,0.0013567952,0.002709284,0.66780376,0.10369292],"study_design_scores_gemma":[0.000012703671,0.0000752795,0.53178537,0.00023132644,0.00005573444,0.00034378035,0.0014872621,0.0031747855,0.0033940405,0.00041974522,0.45898274,0.000037183127],"about_ca_topic_score_codex":0.102202244,"about_ca_topic_score_gemma":0.103529595,"teacher_disagreement_score":0.102202244,"about_ca_system_score_codex":0.001556631,"about_ca_system_score_gemma":0.0018151298,"threshold_uncertainty_score":0.2032147},"labels":[],"label_agreement":null},{"id":"W4327700136","doi":"10.1287/mnsc.2023.4731","title":"Scaling Up Electric-Vehicle Battery Swapping Services in Cities: A Joint Location and Repairable-Inventory Model","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Battery (electricity); Swap (finance); Solver; Pooling; Charging station; Operations research; Electric vehicle; Mathematical optimization; Power (physics); Engineering; Business","score_opus":0.010998732028950506,"score_gpt":0.20758088531696306,"score_spread":0.19658215328801254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327700136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15360427,0.0013703163,0.7953009,0.0033324447,0.00016903735,0.00019113293,0.0019971495,0.00071979227,0.043314945],"genre_scores_gemma":[0.9409157,0.00091537833,0.034789085,0.00026951602,0.000064192165,0.00021493573,0.0006380959,0.00015937336,0.022033768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956053,0.00012775174,0.000017543925,0.00009585883,0.00005726716,0.00014103226],"domain_scores_gemma":[0.99906176,0.0004541899,0.00015561345,0.000055326538,0.00014592499,0.00012714544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011040911,0.0013288725,0.0012995059,0.0006333306,0.0006977454,0.0022547087,0.0029140564,0.0024586292,0.008198872],"category_scores_gemma":[0.0022079202,0.0010582478,0.0012826974,0.0015047137,0.0015414738,0.0020671722,0.0017028416,0.0018052274,0.0009255674],"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":[0.000020220998,0.00001532053,0.00018730252,0.000018559687,0.000006409134,0.000054534714,0.000016142878,0.98808414,0.00012831832,0.009731832,0.0006910333,0.0010462031],"study_design_scores_gemma":[0.000008328157,0.0000062675117,0.00005459923,0.0000029156506,0.0000050317326,0.00000629248,0.000013246462,0.99686265,0.00003713256,0.0027337042,0.00026614044,0.0000037325149],"about_ca_topic_score_codex":0.033977773,"about_ca_topic_score_gemma":0.02219772,"teacher_disagreement_score":0.033977773,"about_ca_system_score_codex":0.0032438473,"about_ca_system_score_gemma":0.0020037252,"threshold_uncertainty_score":0.06756002},"labels":[],"label_agreement":null},{"id":"W4353000563","doi":"10.54691/bcpbm.v35i.3325","title":"Electric High-tech Car and Environment Sustainable: Analysis of Tesla’s problems","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economic shortage; Globe; Coronavirus disease 2019 (COVID-19); Distribution (mathematics); Business; Battery (electricity); Renewable energy; Sustainable development; High tech; Engineering; Electrical engineering; Political science; Government (linguistics)","score_opus":0.0023098783692694857,"score_gpt":0.15129484117149317,"score_spread":0.14898496280222367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353000563","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3453875,0.005403415,0.0041187066,0.054128893,0.00056057796,0.0001776125,0.001011434,0.00019789935,0.58901393],"genre_scores_gemma":[0.85024256,0.0050026854,0.0024671976,0.003651851,0.00025856908,0.00010280058,0.0009886523,0.00010152611,0.13718411],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981534,0.00032039714,0.00009311924,0.0001674547,0.00068874535,0.00057687605],"domain_scores_gemma":[0.9948723,0.0012762739,0.00035316983,0.00011508449,0.0027181513,0.00066500786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015799536,0.00052927964,0.0002546624,0.0043960186,0.0048341537,0.005637943,0.0013398291,0.0022818812,0.018814582],"category_scores_gemma":[0.0041445117,0.000312203,0.0009115543,0.0048355856,0.001408566,0.004484777,0.0016413939,0.0018717161,0.0016375983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005567991,0.001047098,0.13562259,0.0013369853,0.00018019468,0.0078027435,0.018600203,0.01609544,0.0036421844,0.26930225,0.31816468,0.2276488],"study_design_scores_gemma":[0.000026466774,0.00033252747,0.112086356,0.00057170336,0.00010687442,0.0037791915,0.10275475,0.012264027,0.0039601712,0.018356325,0.7455718,0.00018974327],"about_ca_topic_score_codex":0.07522009,"about_ca_topic_score_gemma":0.08885671,"teacher_disagreement_score":0.07522009,"about_ca_system_score_codex":0.011581904,"about_ca_system_score_gemma":0.00688149,"threshold_uncertainty_score":0.14956456},"labels":[],"label_agreement":null},{"id":"W4353110831","doi":"10.1016/j.est.2023.107141","title":"Building energy management and Electric Vehicle charging considering battery degradation and random vehicles’ arrivals and departures","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Depth of discharge; Automotive engineering; Energy (signal processing); Computer science; Electricity; Renewable energy; Electric vehicle; Energy management; Time horizon; Mathematical optimization; Simulation; Reliability engineering; Engineering; Power (physics); Electrical engineering; Mathematics","score_opus":0.006007208663013204,"score_gpt":0.19725840737402872,"score_spread":0.1912511987110155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353110831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7586662,0.0005392752,0.23161915,0.0005331246,0.00012373413,0.00005717266,0.00019270103,0.0002828672,0.007985845],"genre_scores_gemma":[0.9982481,0.000029260429,0.0007277127,0.0000061033684,0.000005487542,0.0000039092224,0.000022104505,0.000008872756,0.00094848196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936277,0.00012896922,0.000026141282,0.00012778239,0.00009203083,0.00026230823],"domain_scores_gemma":[0.99880826,0.00066682306,0.00015848273,0.000062456915,0.0002098562,0.00009406174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880326,0.0007338291,0.0012517567,0.0005102404,0.0005222151,0.0016018411,0.0012875249,0.0011312503,0.0020526638],"category_scores_gemma":[0.0031536075,0.0005950607,0.0008164793,0.00082539674,0.0007807974,0.0014560021,0.0008536063,0.00071241136,0.00015512711],"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":[0.000067333436,0.000019490908,0.0012077536,0.000017204833,0.000021219073,0.0001109984,0.000017169854,0.9945945,0.0004771838,0.001265255,0.00010240545,0.0020995268],"study_design_scores_gemma":[0.0000023377288,0.000012333301,0.00057688926,0.0000011943231,0.000010823598,0.00001708665,0.00002343328,0.9986933,0.00012521938,0.00049685006,0.000037579106,0.0000030892147],"about_ca_topic_score_codex":0.01919866,"about_ca_topic_score_gemma":0.013015063,"teacher_disagreement_score":0.01919866,"about_ca_system_score_codex":0.0011784447,"about_ca_system_score_gemma":0.001025018,"threshold_uncertainty_score":0.038173795},"labels":[],"label_agreement":null},{"id":"W4360604007","doi":"10.1155/2023/7649689","title":"Prediction of Traffic Flow considering Electric Vehicle Market Share and Random Charging","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Education Department of Jiangxi Province","keywords":"Queueing theory; Dwell time; Electric vehicle; Computer science; Simulation; Path (computing); Flow network; Mathematical optimization; Computer network; Mathematics","score_opus":0.0059692718828222415,"score_gpt":0.1921963039176383,"score_spread":0.18622703203481608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360604007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8074484,0.000073248026,0.19040988,0.0002071225,0.000033397955,0.000044810302,0.00020181887,0.00020154305,0.0013797794],"genre_scores_gemma":[0.996867,0.000028157096,0.0025231966,0.00000587674,0.000007676595,0.000013652732,0.000097755306,0.0000063070106,0.00045041798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966097,0.000090499256,0.000011719155,0.000098807745,0.000042212603,0.00009590128],"domain_scores_gemma":[0.9989735,0.0005994726,0.00014702536,0.00003190743,0.00016888643,0.00007922828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007633145,0.00078594335,0.00062698126,0.0007973907,0.00035824056,0.0007226842,0.0009214275,0.0007507871,0.0007171346],"category_scores_gemma":[0.0026242363,0.0004093358,0.0005325335,0.000572189,0.00047343734,0.0012311356,0.00043067613,0.00061982445,0.0000818852],"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":[0.000023714518,0.000025423411,0.0035473402,0.0000051579023,0.000007716339,0.000024241934,0.000008807161,0.993331,0.00015353203,0.0008288915,0.00006989635,0.00197422],"study_design_scores_gemma":[7.4019925e-7,0.0000027012175,0.00019660362,2.1043755e-7,8.4324057e-7,0.0000010941584,0.000002827352,0.99959,0.00002741484,0.00016919256,0.000007495858,8.515035e-7],"about_ca_topic_score_codex":0.0252917,"about_ca_topic_score_gemma":0.012112961,"teacher_disagreement_score":0.0252917,"about_ca_system_score_codex":0.0011933992,"about_ca_system_score_gemma":0.0010439423,"threshold_uncertainty_score":0.050288975},"labels":[],"label_agreement":null},{"id":"W4361003826","doi":"10.1186/s42162-023-00265-4","title":"Correction: Using EV charging control to provide building load flexibility","year":2023,"lang":"en","type":"article","venue":"Energy Informatics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flexibility (engineering); Control (management); Architectural engineering; Computer science; Automotive engineering; Engineering; Mathematics; Artificial intelligence; Statistics","score_opus":0.009112193221455397,"score_gpt":0.2246011202093139,"score_spread":0.2154889269878585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361003826","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002742483,0.00091304095,0.0011705338,0.042873494,0.9488658,0.000023019293,0.002104232,0.00071205443,0.0030636503],"genre_scores_gemma":[0.0433998,0.010269851,0.0077577927,0.11915546,0.44163686,0.0002952899,0.004894239,0.0024782615,0.3701124],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997399,0.0003397771,0.0004554831,0.0004320939,0.001088758,0.00028486937],"domain_scores_gemma":[0.97282255,0.005270966,0.0014507852,0.0016658751,0.017906956,0.0008829172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709115,0.0022281045,0.0020067282,0.002989335,0.0021976826,0.0034647388,0.0027081785,0.00820719,0.04719453],"category_scores_gemma":[0.045480628,0.0011879095,0.0014490617,0.0026155654,0.0020271617,0.0020568282,0.0017373189,0.012211479,0.03292779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050897357,0.000005915607,0.00011028998,0.00020108192,0.000017443337,0.00024966168,0.00004201081,0.00013870452,0.00007212824,0.00089808897,0.9930148,0.005198836],"study_design_scores_gemma":[0.00006867406,0.000025876632,0.001176927,0.00033445377,0.000038686383,0.0006005276,0.00013993098,0.0008352525,0.0006399662,0.0012159937,0.99487656,0.00004712159],"about_ca_topic_score_codex":0.025802149,"about_ca_topic_score_gemma":0.023474082,"teacher_disagreement_score":0.04719453,"about_ca_system_score_codex":0.0030555963,"about_ca_system_score_gemma":0.004279716,"threshold_uncertainty_score":0.15788144},"labels":[],"label_agreement":null},{"id":"W4361185789","doi":"10.1109/isgtmiddleeast56437.2023.10078696","title":"Allocation of Multi-Type Charging Equipment in Electric Vehicles Parking Lots Considering Avoidable Capacity Cost of Distribution Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Science and Engineering Research Council","keywords":"Upgrade; Software deployment; Electric vehicle; Automotive engineering; Grid; Parking lot; Charging station; Computer science; Operator (biology); Power (physics); Transport engineering; Engineering; Reliability engineering","score_opus":0.022406363512824025,"score_gpt":0.22819639616304505,"score_spread":0.20579003265022103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361185789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18642657,0.00077644683,0.79264605,0.0004059444,0.00007496952,0.00030917543,0.00040549866,0.00023570654,0.018719712],"genre_scores_gemma":[0.966648,0.00028848316,0.029267883,0.000026366137,0.000011816464,0.00010206525,0.00007631907,0.00002605367,0.0035530124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995988,0.00012739492,0.000011923654,0.00008442901,0.000058470447,0.00011891908],"domain_scores_gemma":[0.99956924,0.00020665738,0.00006705913,0.000020210546,0.00007181535,0.00006496843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065608235,0.0008219719,0.0009661484,0.00066452264,0.0005685978,0.0015933248,0.0013235688,0.0010138289,0.005040799],"category_scores_gemma":[0.0011418023,0.0008219657,0.00073051377,0.00083839305,0.0005514816,0.0014596288,0.0007142077,0.00063400134,0.00026871896],"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":[0.000049802667,0.000025839034,0.00046845886,0.00004590466,0.0000100594125,0.000066897024,0.000018206525,0.98944664,0.00059289334,0.0027838033,0.00030280728,0.0061886925],"study_design_scores_gemma":[0.0000054986613,0.000031684587,0.00027377965,0.0000058043224,0.000012012656,0.000018793133,0.000039174152,0.9976035,0.00025798244,0.0014923639,0.00025356797,0.0000059213094],"about_ca_topic_score_codex":0.009702472,"about_ca_topic_score_gemma":0.014247718,"teacher_disagreement_score":0.009702472,"about_ca_system_score_codex":0.001694412,"about_ca_system_score_gemma":0.001536817,"threshold_uncertainty_score":0.019291997},"labels":[],"label_agreement":null},{"id":"W4362571400","doi":"10.1007/978-3-031-01949-4_107","title":"Zero-Emission Delivery for Logistics and Transportation","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zero emission; Truck; Greenhouse gas; Renewable energy; Engineering; Ground zero; Fossil fuel; Transport engineering; Environmental economics; Automotive engineering; Electrical engineering; Waste management","score_opus":0.013961854599957512,"score_gpt":0.19774461822830827,"score_spread":0.18378276362835075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362571400","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005301668,0.009967546,0.020115603,0.0013847683,0.0014872882,0.0000322626,0.00011716861,0.00019358686,0.9661717],"genre_scores_gemma":[0.00386407,0.008046051,0.0033155603,0.00042422456,0.00022154023,0.000021327098,0.00008451957,0.00016895251,0.9838538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997793,0.000028209315,0.000005990219,0.000027928942,0.0001386955,0.000019886971],"domain_scores_gemma":[0.9999143,0.00003212519,0.000004532939,0.000013784273,0.000030559124,0.000004801254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022555779,0.0010463733,0.00034398126,0.00082145317,0.000969104,0.002436895,0.0008471354,0.001462848,0.06669356],"category_scores_gemma":[0.00040587975,0.00033043927,0.0003296992,0.0010981209,0.00087497145,0.0029019848,0.0012047981,0.0019866847,0.025270304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001372493,0.00005121948,0.000048267084,0.00030431902,0.00000454509,0.00007877969,0.00022802234,0.0012564515,0.0014974036,0.5217862,0.26937786,0.20535323],"study_design_scores_gemma":[0.0000012804445,0.00000955007,0.00007098881,0.00013258473,0.000002466312,0.00009857917,0.00007095449,0.0004908031,0.0005925472,0.038936503,0.9595889,0.0000047770645],"about_ca_topic_score_codex":0.002659549,"about_ca_topic_score_gemma":0.006184022,"teacher_disagreement_score":0.06669356,"about_ca_system_score_codex":0.0014938221,"about_ca_system_score_gemma":0.0010532226,"threshold_uncertainty_score":0.22311217},"labels":[],"label_agreement":null},{"id":"W4362574740","doi":"10.1155/2023/6103796","title":"Optimal Deployment of Electric Vehicles’ Fast-Charging Stations","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Charging station; Installation; Context (archaeology); Electric vehicle; Driving range; Transport engineering; Investment (military); Computer science; Integer programming; Range (aeronautics); Operations research; Environmental economics; Engineering; Power (physics); Geography","score_opus":0.005420747581623713,"score_gpt":0.22195242567382611,"score_spread":0.2165316780922024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362574740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50646615,0.0007251039,0.477992,0.00065687473,0.000108747074,0.00025671345,0.0005219929,0.000596832,0.012675584],"genre_scores_gemma":[0.96655935,0.00024523903,0.030859554,0.000028312967,0.0000089011455,0.00006559724,0.00017268748,0.000027842581,0.0020325244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945015,0.00015732103,0.000023486135,0.00012374147,0.00006305784,0.00018228097],"domain_scores_gemma":[0.9990061,0.00043350767,0.00019944983,0.000065908964,0.00016728397,0.00012768089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008296383,0.0013052952,0.0010894523,0.00060051406,0.0006427563,0.0014129538,0.0011832374,0.0011728845,0.0028589896],"category_scores_gemma":[0.0024981913,0.0008393611,0.0007648639,0.0007753788,0.0005016795,0.0016750706,0.001103497,0.0006547266,0.00039832547],"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":[0.00007401282,0.000033713957,0.00073183415,0.00003988099,0.000012483055,0.000058078484,0.00002436793,0.98852813,0.0012136691,0.0016887995,0.00044992453,0.00714521],"study_design_scores_gemma":[0.000014416722,0.000059398557,0.0003529094,0.000005648669,0.000016537004,0.000016867847,0.00009028652,0.99709237,0.0007946601,0.0011810318,0.0003678749,0.000007897655],"about_ca_topic_score_codex":0.0120222885,"about_ca_topic_score_gemma":0.008760365,"teacher_disagreement_score":0.0120222885,"about_ca_system_score_codex":0.0016193789,"about_ca_system_score_gemma":0.001715066,"threshold_uncertainty_score":0.023904622},"labels":[],"label_agreement":null},{"id":"W4362581544","doi":"10.1186/s40068-023-00293-9","title":"Flexible electric vehicle charging and its role in variable renewable energy integration","year":2023,"lang":"en","type":"article","venue":"ENVIRONMENTAL SYSTEMS RESEARCH","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"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 Victoria","funders":"Mitacs; University of Toronto","keywords":"Renewable energy; Variable renewable energy; Electric vehicle; Environmental economics; Electricity; Automotive engineering; Grid; Environmental science; Electric power system; Wind power; Electricity generation; Transport engineering; Business; Power (physics); Engineering; Electrical engineering; Economics","score_opus":0.012678193312903811,"score_gpt":0.23179824173056854,"score_spread":0.21912004841766472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362581544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8027444,0.0006377552,0.16517778,0.00076957245,0.0001269113,0.000071047136,0.00025456672,0.0002853399,0.029932687],"genre_scores_gemma":[0.997721,0.00006762083,0.0015386887,0.000009645691,0.0000041024455,0.0000046101723,0.000026485699,0.000010029023,0.00061781367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975413,0.000110219466,0.0000068862073,0.00003031787,0.00004782264,0.000050576236],"domain_scores_gemma":[0.9995074,0.00027045773,0.000054658747,0.000059064867,0.00007170224,0.000036634425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005989008,0.00037270272,0.00034153575,0.00030604898,0.0002902928,0.0012972159,0.00067174144,0.00046542773,0.0023050562],"category_scores_gemma":[0.0014970511,0.00020154844,0.0004675121,0.00058419514,0.00052402384,0.0011767306,0.00076140964,0.0006218689,0.00012490014],"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":[0.00003730727,0.00003616341,0.0017700995,0.000015176618,0.000015040429,0.00005843967,0.000015922911,0.9814611,0.00045986683,0.0106263375,0.00015070962,0.0053538163],"study_design_scores_gemma":[0.0000054435723,0.000033155316,0.00079951994,0.0000065439535,0.000007701497,0.0000141571445,0.00003688,0.9934505,0.0002683979,0.0047079725,0.0006621821,0.000007547108],"about_ca_topic_score_codex":0.014069374,"about_ca_topic_score_gemma":0.008294912,"teacher_disagreement_score":0.014069374,"about_ca_system_score_codex":0.0007973227,"about_ca_system_score_gemma":0.00065159943,"threshold_uncertainty_score":0.027974963},"labels":[],"label_agreement":null},{"id":"W4362633336","doi":"10.1080/23302674.2023.2191804","title":"Routing a mixed fleet of conventional and electric vehicles for urban delivery problems: considering different charging technologies and battery swapping","year":2023,"lang":"en","type":"article","venue":"International Journal of Systems Science Operations & Logistics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulated annealing; Tabu search; Vehicle routing problem; Solver; Computer science; Metaheuristic; Integer programming; Suite; Mathematical optimization; Neighbourhood (mathematics); Routing (electronic design automation); Battery (electricity); Set (abstract data type); Linear programming; Computer network; Algorithm; Mathematics","score_opus":0.020093519102905116,"score_gpt":0.24107448838179382,"score_spread":0.22098096927888872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362633336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59439105,0.0008240744,0.38526833,0.0010425461,0.000087019806,0.000272979,0.00078820606,0.00012602375,0.01719983],"genre_scores_gemma":[0.9205556,0.00035575748,0.07008201,0.00007773827,0.0000215901,0.0001351603,0.0003514123,0.000037012207,0.008383756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970067,0.00011291504,0.000009358464,0.00005940702,0.00004204489,0.00007553637],"domain_scores_gemma":[0.9995338,0.00031261664,0.00005499325,0.000015166214,0.000043436583,0.000039955743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077188516,0.0009464406,0.00069953944,0.0005685231,0.0007178375,0.0011134868,0.000999078,0.0011925987,0.002985147],"category_scores_gemma":[0.0014090268,0.0005845148,0.0007028081,0.0010143791,0.0006457253,0.0009837361,0.00045086903,0.0004907299,0.00014970943],"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":[0.000027352753,0.000020458776,0.00038879237,0.000023257855,0.000016403912,0.00006680492,0.000018894712,0.99430335,0.00032158973,0.0016094951,0.00020734977,0.0029962985],"study_design_scores_gemma":[0.000020339674,0.00005327473,0.00038956388,0.0000051154784,0.000013144621,0.00002429829,0.000077130084,0.99671656,0.0002245908,0.0017800394,0.0006904078,0.000005538171],"about_ca_topic_score_codex":0.062234875,"about_ca_topic_score_gemma":0.09317142,"teacher_disagreement_score":0.062234875,"about_ca_system_score_codex":0.002987707,"about_ca_system_score_gemma":0.0019717293,"threshold_uncertainty_score":0.12374526},"labels":[],"label_agreement":null},{"id":"W4363672531","doi":"10.1016/j.tra.2023.103672","title":"Differential license plate pricing and electric vehicle adoption in Shanghai, China","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Shanghai Office of Philosophy and Social Science; National Social Science Fund of China; Major Program of National Fund of Philosophy and Social Science of China","keywords":"License; China; Transport engineering; Business; Electric vehicle; Differential (mechanical device); Road pricing; Shanghai china; Telecommunications; Engineering; Computer science; Geography; Regional science; Traffic congestion; Aerospace engineering; Physics","score_opus":0.033130351363642646,"score_gpt":0.33818997555036223,"score_spread":0.3050596241867196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363672531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990067,0.00013858223,0.000030822182,0.00016100645,0.000003751707,0.0000019117488,0.00012950154,0.000004650184,0.00052307517],"genre_scores_gemma":[0.999453,0.000053165142,0.0000076711385,0.000013241729,0.000002525946,8.27949e-7,0.00009440167,5.79399e-7,0.00037453612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945515,0.000092940965,0.000042218646,0.00007642258,0.00009608282,0.00023729392],"domain_scores_gemma":[0.99773175,0.00039499678,0.0009209359,0.00007384358,0.0003224257,0.00055601785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984038,0.0002548431,0.00023593845,0.0012970361,0.00052237866,0.0012925349,0.00042880359,0.0003544485,0.0021614404],"category_scores_gemma":[0.0013852912,0.00019254118,0.00036934888,0.0025000598,0.00074542314,0.0005680751,0.00068062404,0.00057210174,0.00014698428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007718658,0.00007213178,0.9918869,0.000020973655,0.00005694905,0.00041142487,0.0008717435,0.00097476575,0.00027125017,0.0016089466,0.0005357294,0.0032118915],"study_design_scores_gemma":[0.000009354503,0.000048771257,0.9953998,0.0000065777617,0.000035157977,0.000048034868,0.0018957347,0.0016726115,0.0001288472,0.00015869574,0.00058611546,0.000010373181],"about_ca_topic_score_codex":0.2801271,"about_ca_topic_score_gemma":0.29659143,"teacher_disagreement_score":0.2801271,"about_ca_system_score_codex":0.0036621734,"about_ca_system_score_gemma":0.0030698003,"threshold_uncertainty_score":0.5569932},"labels":[],"label_agreement":null},{"id":"W4365151460","doi":"10.4271/2023-01-0555","title":"Freevalve: A Comparative GWP Life Cycle Assessment of E-fuel Fully Variable Valvetrain-equipped Hybrid Electric Vehicles and Battery Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Automotive engineering; Internal combustion engine; Renewable energy; Powertrain; Camshaft; Work (physics); Battery electric vehicle; Fuel efficiency; Battery (electricity); Efficient energy use; Combustion; Engineering; Computer science; Torque; Mechanical engineering; Power (physics); Electrical engineering","score_opus":0.010504303474273006,"score_gpt":0.2500020636863701,"score_spread":0.23949776021209712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365151460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670156,0.00075783033,0.007530201,0.00009094783,0.000025127423,0.0001293822,0.010042093,0.00017287118,0.014235913],"genre_scores_gemma":[0.98467505,0.00041097158,0.0037079377,0.000024917192,0.000005182272,0.000073994815,0.0090338215,0.000083136634,0.0019850293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978775,0.00004671275,0.0000089253235,0.00004305441,0.00008572253,0.00002785215],"domain_scores_gemma":[0.999637,0.00013869096,0.000028635948,0.000032233904,0.00013906299,0.00002436939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007532789,0.00076416566,0.0004851854,0.0018160361,0.00033255384,0.00093835953,0.00075906306,0.00058703386,0.0019457965],"category_scores_gemma":[0.0007447532,0.00023987866,0.0013189832,0.001261264,0.00020994994,0.0015128289,0.0006209204,0.000409162,0.0003735208],"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":[0.00208945,0.0003459187,0.055652816,0.00079160434,0.00044985217,0.000605026,0.00024163253,0.80954146,0.020184664,0.0049456735,0.0048546595,0.10029728],"study_design_scores_gemma":[0.00014450576,0.0041174754,0.13403352,0.00020257627,0.00031273506,0.00058252097,0.0011733415,0.79672116,0.03374245,0.005728391,0.023048643,0.00019261747],"about_ca_topic_score_codex":0.009094683,"about_ca_topic_score_gemma":0.012562209,"teacher_disagreement_score":0.009094683,"about_ca_system_score_codex":0.001060001,"about_ca_system_score_gemma":0.00046099286,"threshold_uncertainty_score":0.018083513},"labels":[],"label_agreement":null},{"id":"W4365457543","doi":"10.1016/j.trc.2023.104123","title":"Do incentives make a difference? Understanding smart charging program adoption for electric vehicles","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Incentive program; Electric vehicle; Population; Electricity; Business; Mixed logit; Environmental economics; Economics; Engineering; Logistic regression; Microeconomics; Computer science; Electrical engineering; Environmental health","score_opus":0.07769845844321716,"score_gpt":0.3345338964853167,"score_spread":0.2568354380420995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365457543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390872,0.00085332146,0.0049479757,0.014432151,0.000052081075,0.000042045776,0.00024085098,0.000022548515,0.0403218],"genre_scores_gemma":[0.998459,0.00017470683,0.00033655655,0.00023771983,0.000016333563,0.0000072593957,0.000041162275,0.0000065414333,0.0007208562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977393,0.0007373725,0.00009990778,0.00032170024,0.00041186405,0.00068984117],"domain_scores_gemma":[0.97953874,0.01307378,0.0044060512,0.00055060675,0.0015792857,0.0008515335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032130906,0.00016513582,0.00032842267,0.00071156694,0.0007476912,0.0037155272,0.0009313444,0.0016185127,0.0073775],"category_scores_gemma":[0.02630307,0.0002908835,0.00036725242,0.0009255065,0.0012641143,0.0073174112,0.0010843447,0.0023921793,0.00042242752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056088524,0.001329377,0.49448156,0.00039173692,0.00028352154,0.0005574372,0.012016977,0.012606447,0.0024362467,0.32954726,0.0060815127,0.13970706],"study_design_scores_gemma":[0.00013353224,0.00045184858,0.58880997,0.0006655785,0.00024012846,0.00036594307,0.04950584,0.03833416,0.002759349,0.26406294,0.054510403,0.00016031724],"about_ca_topic_score_codex":0.011995167,"about_ca_topic_score_gemma":0.014654205,"teacher_disagreement_score":0.011995167,"about_ca_system_score_codex":0.0023784381,"about_ca_system_score_gemma":0.0018986586,"threshold_uncertainty_score":0.024680197},"labels":[],"label_agreement":null},{"id":"W4365519076","doi":"10.54254/2754-1169/4/20221008","title":"Research on the Impact of New Energy Vehicles on China’s Industrial Policy Innovation","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Environmental economics; Renewable energy; Business; Greenhouse gas; Resource (disambiguation); Energy security; Economic system; Natural resource economics; Economics; Industrial organization; Engineering","score_opus":0.046644253721894256,"score_gpt":0.3438466411107617,"score_spread":0.29720238738886745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365519076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90718997,0.0013636434,0.0006324113,0.004042761,0.00004415462,0.00007177283,0.0001340847,0.00001825484,0.08650298],"genre_scores_gemma":[0.9960129,0.0005364975,0.00009186285,0.00008652395,0.00001380403,0.000011828479,0.000032818774,0.0000013227643,0.0032124682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985782,0.00029412855,0.00006892452,0.000119931334,0.00043286948,0.0005059951],"domain_scores_gemma":[0.9975178,0.0010151776,0.00048348092,0.00009260224,0.00050239655,0.00038849635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018561975,0.00016206542,0.00026716702,0.0023405342,0.001251216,0.00300375,0.00043773357,0.0005913343,0.0043041715],"category_scores_gemma":[0.0034557036,0.000106621366,0.0003579797,0.003220532,0.0011903464,0.0013808768,0.0011184872,0.00061853445,0.00014491501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017152574,0.00043663956,0.41931102,0.000855247,0.00022511247,0.0020319992,0.016974904,0.00917775,0.0033525126,0.40094364,0.0065365313,0.13998309],"study_design_scores_gemma":[0.000031754305,0.00030844338,0.87244576,0.00035315115,0.0001623833,0.00014707973,0.017888963,0.015701318,0.0033293338,0.017866373,0.07171459,0.000050892893],"about_ca_topic_score_codex":0.037886802,"about_ca_topic_score_gemma":0.048954137,"teacher_disagreement_score":0.037886802,"about_ca_system_score_codex":0.009872003,"about_ca_system_score_gemma":0.015085325,"threshold_uncertainty_score":0.07533252},"labels":[],"label_agreement":null},{"id":"W4365815455","doi":"10.1016/j.est.2023.107305","title":"Charging scheduling and energy management for mobile chargers in a grid-interactive transportation system","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada","keywords":"Microgrid; Computer science; Photovoltaic system; Grid; Scheduling (production processes); Energy storage; Energy management; Charging station; Energy management system; Automotive engineering; Real-time computing; Electric vehicle; Renewable energy; Power (physics); Engineering; Energy (signal processing); Electrical engineering","score_opus":0.004201962528680693,"score_gpt":0.19952368593278388,"score_spread":0.1953217234041032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365815455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9285094,0.00014565962,0.06457127,0.00033490645,0.000047777194,0.00009489305,0.0001729228,0.00047353358,0.00564955],"genre_scores_gemma":[0.9981369,0.000010827125,0.0010550828,0.000007748179,0.0000042787146,0.0000052082455,0.000019975207,0.0000074019367,0.00075259147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.00007565752,0.000013634188,0.00006217071,0.000042118587,0.00011690897],"domain_scores_gemma":[0.9995666,0.00019119888,0.000038973092,0.000027485743,0.000089852474,0.00008591037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042774394,0.00038932316,0.0006995438,0.0003701935,0.00106651,0.0012922414,0.00091358944,0.0006257435,0.0032024635],"category_scores_gemma":[0.0009549327,0.00029647758,0.00033173215,0.00054450333,0.0004342584,0.0006018744,0.0006117098,0.00038291307,0.00022650455],"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":[0.00087821437,0.00017215291,0.005820341,0.000037289275,0.00005431024,0.000355708,0.000117734446,0.96460444,0.00481669,0.002103706,0.0012646286,0.019774923],"study_design_scores_gemma":[0.000014769635,0.000051513347,0.0010846397,0.0000010897037,0.000011831946,0.000022441422,0.00006762338,0.9976169,0.00043326954,0.00049965817,0.00019116291,0.000005190329],"about_ca_topic_score_codex":0.02605192,"about_ca_topic_score_gemma":0.028282592,"teacher_disagreement_score":0.02605192,"about_ca_system_score_codex":0.0012146622,"about_ca_system_score_gemma":0.0011321396,"threshold_uncertainty_score":0.05180055},"labels":[],"label_agreement":null},{"id":"W4366196674","doi":"10.48550/arxiv.2304.06769","title":"A Multi-Battery Model for the Aggregate Flexibility of Heterogeneous Electric Vehicles","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Cornell Atkinson Center for Sustainability, Cornell University; David R. Atkinson Center for a Sustainable Future , Cornell University","keywords":"Flexibility (engineering); Battery (electricity); Computer science; Aggregate (composite); Electric vehicle; Set (abstract data type); Electricity; Mathematical optimization; Engineering; Mathematics; Electrical engineering","score_opus":0.07910812318227842,"score_gpt":0.19903511386180028,"score_spread":0.11992699067952187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366196674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057800796,0.00052410125,0.92968756,0.0006281519,0.00005625754,0.000056664558,0.0004957188,0.0001478734,0.010602964],"genre_scores_gemma":[0.93508625,0.00046639628,0.052644353,0.0001570867,0.000061541155,0.00017551669,0.00044082283,0.00006651133,0.01090169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996182,0.00011123843,0.000018877116,0.00010087598,0.00007939805,0.00007153028],"domain_scores_gemma":[0.9995765,0.00020875718,0.000058533748,0.000039508133,0.00006189871,0.000054844393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023866,0.0009834334,0.0008391748,0.00061866594,0.00052220887,0.00138666,0.0020563067,0.0013107712,0.0033710732],"category_scores_gemma":[0.0015900409,0.00045781056,0.0011473818,0.0012040673,0.0009035234,0.0018944262,0.0011910723,0.0012545921,0.00044434733],"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":[0.000011410053,0.0000058197043,0.00014411072,0.000008295719,0.0000054542065,0.000035671874,0.00001109964,0.98856467,0.00022821326,0.009659868,0.00020510644,0.0011202832],"study_design_scores_gemma":[0.0000022281072,0.000005872123,0.000060506223,0.0000017219006,0.0000023117093,0.000008129925,0.000007708248,0.9959176,0.000052691037,0.003752094,0.00018574664,0.0000033996098],"about_ca_topic_score_codex":0.008582986,"about_ca_topic_score_gemma":0.006404607,"teacher_disagreement_score":0.008582986,"about_ca_system_score_codex":0.0015064987,"about_ca_system_score_gemma":0.00063303614,"threshold_uncertainty_score":0.017066061},"labels":[],"label_agreement":null},{"id":"W4366572615","doi":"10.1016/j.trd.2023.103732","title":"An Electric Vehicle Transitioning Framework for Public Fleet Planning","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; L.B. Foster Rail Technologies (Canada); Group for Research in Decision Analysis","funders":"","keywords":"Electric vehicle; Range (aeronautics); Cluster analysis; Set (abstract data type); Operations research; Driving range; Computer science; Fleet management; Business; Environmental economics; Transport engineering; Engineering; Telecommunications; Economics","score_opus":0.042717878626598,"score_gpt":0.29534866669398946,"score_spread":0.2526307880673915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366572615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012126858,0.0002963799,0.9545621,0.00090723514,0.00008412772,0.00013419375,0.00056664954,0.0004223208,0.030900016],"genre_scores_gemma":[0.5097748,0.00062692387,0.47210303,0.00013929562,0.00008759773,0.00027063926,0.0011242678,0.00020982165,0.015663601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993299,0.00025426224,0.0000352029,0.00014269717,0.0001198832,0.00011805757],"domain_scores_gemma":[0.999343,0.00027995952,0.000047215286,0.000078823556,0.00014967757,0.000101447426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015612213,0.00059682433,0.00073430303,0.00094691233,0.00083929196,0.0029755728,0.0022531867,0.00096312974,0.011313738],"category_scores_gemma":[0.0025669753,0.0004920625,0.0012624081,0.001467931,0.0010402654,0.0031815898,0.0023831585,0.001589085,0.0006710827],"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":[0.000030040424,0.000052481046,0.00030245833,0.000034380246,0.000020043113,0.00008469878,0.00010952958,0.536875,0.00017082803,0.43915516,0.0024632444,0.02070207],"study_design_scores_gemma":[0.000013645971,0.000018039294,0.000097020806,0.00002455975,0.000013053104,0.000017828603,0.00011660564,0.80821085,0.00011821193,0.18048476,0.010875477,0.000010053276],"about_ca_topic_score_codex":0.035820875,"about_ca_topic_score_gemma":0.040111613,"teacher_disagreement_score":0.035820875,"about_ca_system_score_codex":0.0024530129,"about_ca_system_score_gemma":0.0035963797,"threshold_uncertainty_score":0.07122475},"labels":[],"label_agreement":null},{"id":"W4366779614","doi":"10.1016/j.egyai.2023.100267","title":"A data-driven framework for medium-term electric vehicle charging demand forecasting","year":2023,"lang":"en","type":"article","venue":"Energy and AI","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Computer science; Demand forecasting; Term (time); Software deployment; Exploit; Electricity; Mean absolute percentage error; Peak demand; Mean squared error; Baseline (sea); Work (physics); Operations research; Artificial neural network; Artificial intelligence; Engineering; Statistics","score_opus":0.018352677623604995,"score_gpt":0.23831099215054913,"score_spread":0.21995831452694414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366779614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03371145,0.00072766165,0.9564564,0.0008419356,0.00020568531,0.000085407715,0.0027459674,0.0025499153,0.0026755459],"genre_scores_gemma":[0.7328244,0.00058511185,0.25384846,0.0003699952,0.00027008005,0.00035205734,0.0070702997,0.00023297481,0.0044465596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972075,0.00005712796,0.000020373564,0.00008697144,0.00006902872,0.000045771852],"domain_scores_gemma":[0.9992192,0.00041472126,0.00006028277,0.000051985935,0.00019738534,0.00005642051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009828494,0.0007944427,0.0008314584,0.00079947466,0.00038656816,0.0012058354,0.0021096969,0.0010676943,0.0021111318],"category_scores_gemma":[0.0023842675,0.00059059024,0.0009141624,0.0011199756,0.00038403957,0.0010550623,0.0008818146,0.0018546053,0.000603092],"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":[0.000053749573,0.000059177048,0.0011926144,0.000036969068,0.000044800538,0.000049232774,0.00001949962,0.9652024,0.00042558621,0.0030364601,0.0024408638,0.027438745],"study_design_scores_gemma":[0.000002285321,0.0000031244497,0.000054935383,0.0000015966012,0.0000012629023,0.0000020578254,0.0000017088795,0.9986601,0.000043857406,0.0010195321,0.00020799195,0.0000016616282],"about_ca_topic_score_codex":0.033918206,"about_ca_topic_score_gemma":0.03816573,"teacher_disagreement_score":0.033918206,"about_ca_system_score_codex":0.0011590432,"about_ca_system_score_gemma":0.0015833012,"threshold_uncertainty_score":0.06744152},"labels":[],"label_agreement":null},{"id":"W4366813491","doi":"10.1016/j.trip.2023.100825","title":"An archetypal routing network model to help identify potential charging locations for long-haul electric vehicles in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Truck; Electricity; Greenhouse gas; Peak demand; Transport engineering; Environmental science; Grid; Routing (electronic design automation); Electricity demand; Electric vehicle; Engineering; Automotive engineering; Power (physics); Electricity generation; Electrical engineering; Geography","score_opus":0.029004923939051443,"score_gpt":0.33502171733501496,"score_spread":0.3060167933959635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366813491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72074276,0.00077936985,0.18725641,0.0034758155,0.00013464692,0.00034471322,0.009674818,0.00071006437,0.076881394],"genre_scores_gemma":[0.9583339,0.0003655569,0.018077468,0.0000866149,0.000016711843,0.000056927736,0.0022583096,0.000037469665,0.02076707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998043,0.000036371923,0.000005176624,0.000042819094,0.000034684494,0.000076743374],"domain_scores_gemma":[0.9996443,0.00009572296,0.000039460803,0.000013150471,0.00017286901,0.000034488578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209412,0.0005822307,0.0003262485,0.00062101445,0.00092178746,0.0010369379,0.0014827359,0.00059604895,0.0038387384],"category_scores_gemma":[0.0011313186,0.00033888087,0.00046796305,0.0009805639,0.000527873,0.0005479097,0.0006490951,0.00047831665,0.0003396264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002775099,0.000014103877,0.0038300639,0.000013619121,0.000006940341,0.00007582572,0.000041152194,0.9842833,0.00017822385,0.004726677,0.0024086898,0.004393636],"study_design_scores_gemma":[0.0000040205487,0.0000034942293,0.0007272762,0.000002381106,0.0000043954115,0.000008980691,0.0000482519,0.99767977,0.0000273132,0.0006413494,0.00084956444,0.0000033426732],"about_ca_topic_score_codex":0.8980034,"about_ca_topic_score_gemma":0.90849817,"teacher_disagreement_score":0.1019966,"about_ca_system_score_codex":0.012027835,"about_ca_system_score_gemma":0.0074148388,"threshold_uncertainty_score":0.20519453},"labels":[],"label_agreement":null},{"id":"W4366957329","doi":"10.1109/tte.2023.3269050","title":"ADMM-Based Hierarchical Single-Loop Framework for EV Charging Scheduling Considering Power Flow Constraints","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Scheduling (production processes); Electric vehicle; Mathematical optimization; Computer science; Voltage; Minification; Load profile; Power (physics); Electricity; Engineering; Mathematics; Electrical engineering","score_opus":0.01722083846976058,"score_gpt":0.23877240840257138,"score_spread":0.2215515699328108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366957329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034889667,0.00015251567,0.9938764,0.0000951545,0.0000427885,0.000032023247,0.000056678575,0.00020245338,0.0020531677],"genre_scores_gemma":[0.65625113,0.0003809249,0.33666763,0.00022357187,0.00013937861,0.00039834416,0.000500576,0.00015500201,0.005283404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995426,0.00014309688,0.00002078184,0.000084616186,0.00012936088,0.00007955924],"domain_scores_gemma":[0.99936205,0.00031532216,0.00008055094,0.000032922344,0.00016867103,0.00004054282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011150929,0.0012384423,0.0012990896,0.00049541646,0.000440271,0.0011435237,0.0015365425,0.0011410677,0.0034802128],"category_scores_gemma":[0.0015795046,0.0006511258,0.00078644045,0.00077808934,0.0005521044,0.0007950451,0.0010248657,0.0017131249,0.00057878415],"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":[0.000022050053,0.000014831473,0.00011064632,0.000037157857,0.000012547325,0.000027313694,0.000015988071,0.9860837,0.0003179306,0.0027370253,0.00046040464,0.0101605],"study_design_scores_gemma":[0.0000049522782,0.0000088009265,0.000015091883,0.0000017182781,0.0000017397001,0.0000027398758,0.0000029783703,0.99891746,0.00006198474,0.0008032185,0.00017815489,0.0000011886942],"about_ca_topic_score_codex":0.009053673,"about_ca_topic_score_gemma":0.008554164,"teacher_disagreement_score":0.009053673,"about_ca_system_score_codex":0.00084121234,"about_ca_system_score_gemma":0.0020137038,"threshold_uncertainty_score":0.018001974},"labels":[],"label_agreement":null},{"id":"W4366978163","doi":"10.1016/j.energy.2023.127592","title":"A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Sizing; Scheduling (production processes); Schedule; Electricity; Energy consumption; Battery (electricity); Total cost; Automotive engineering; Engineering; Computer science; Power (physics); Operations management; Electrical engineering; Business","score_opus":0.008634862504797378,"score_gpt":0.21250563035093478,"score_spread":0.2038707678461374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366978163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023730686,0.0005474677,0.9470665,0.0006505148,0.00016005975,0.0003337825,0.0010436012,0.00059234793,0.02587507],"genre_scores_gemma":[0.7103538,0.0006998007,0.26873198,0.00032587015,0.00020419035,0.00055536197,0.0012733135,0.00048551083,0.017370189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992237,0.00031994918,0.000025961956,0.00010569616,0.00016863787,0.00015601513],"domain_scores_gemma":[0.9995166,0.0002532644,0.000038670376,0.00004239668,0.00010296072,0.000046104098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017074919,0.001722346,0.0022476462,0.0011129191,0.00072730146,0.001903733,0.0019362755,0.0023171108,0.009705395],"category_scores_gemma":[0.0029525133,0.0010055596,0.0018803136,0.0024141646,0.0007254667,0.0012785388,0.0017350245,0.0013732832,0.00085132424],"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":[0.000023978091,0.000022994042,0.000100831836,0.000033302505,0.000015806363,0.000028408533,0.000007182398,0.9900266,0.00013337223,0.0039788974,0.0007605194,0.004868164],"study_design_scores_gemma":[0.000011831089,0.000012382804,0.00008576398,0.0000043561763,0.000008435653,0.000008698086,0.0000059880585,0.9972983,0.00006482948,0.0020486212,0.00044772675,0.0000030091792],"about_ca_topic_score_codex":0.017421095,"about_ca_topic_score_gemma":0.01598885,"teacher_disagreement_score":0.017421095,"about_ca_system_score_codex":0.0025090934,"about_ca_system_score_gemma":0.0029938594,"threshold_uncertainty_score":0.034639418},"labels":[],"label_agreement":null},{"id":"W4367040350","doi":"10.20944/preprints202304.0925.v1","title":"Nuclear-Renewable Hybrid Energy System with Load-Following for Fast Charging Station","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Renewable energy; Greenhouse gas; Automotive engineering; Electricity; Grid; Computer science; Energy storage; Photovoltaics; Environmental economics; Environmental science; Photovoltaic system; Engineering; Electrical engineering; Power (physics)","score_opus":0.03193955689424605,"score_gpt":0.24900607376724157,"score_spread":0.21706651687299552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367040350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2302065,0.0011010694,0.7190256,0.00082431256,0.000398389,0.0004225899,0.000759263,0.0034251858,0.043837126],"genre_scores_gemma":[0.99292165,0.00009146602,0.0037463442,0.000029471143,0.00001862256,0.00008078848,0.000091588045,0.000009889273,0.0030102595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997104,0.000049172766,0.000022736724,0.0000916602,0.00008100965,0.00004497349],"domain_scores_gemma":[0.99982977,0.000045002198,0.000033100336,0.000018749835,0.00005604953,0.0000173321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034627458,0.00066435995,0.0010000941,0.0003414669,0.0009611268,0.0012423458,0.0013157744,0.00078553194,0.0050899303],"category_scores_gemma":[0.00033365295,0.00028570066,0.00059978274,0.000491013,0.00038907977,0.0008401441,0.0009028083,0.0006114726,0.0007752473],"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":[0.00033370912,0.00013312191,0.0014089766,0.00020109513,0.00007606398,0.000456876,0.00008691213,0.9482835,0.007878958,0.0052839243,0.0019224013,0.033934575],"study_design_scores_gemma":[0.000027072898,0.00008651653,0.0002618577,0.00000647122,0.000020520629,0.000046159665,0.0000121430185,0.99693006,0.00082880683,0.0009478057,0.0008224648,0.000010011386],"about_ca_topic_score_codex":0.005938608,"about_ca_topic_score_gemma":0.0074018156,"teacher_disagreement_score":0.005938608,"about_ca_system_score_codex":0.0007231471,"about_ca_system_score_gemma":0.00079902034,"threshold_uncertainty_score":0.017027557},"labels":[],"label_agreement":null},{"id":"W4367628021","doi":"10.3390/electronics12092065","title":"Are Commercial EV Chargers Ready to Aid with Household Power Consumption?","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Automotive engineering; Grid; Electrical engineering; Electricity; Environmental economics; Zero emission; Power grid; Engineering; Power (physics); Economics","score_opus":0.014340395894099642,"score_gpt":0.22205738572342504,"score_spread":0.2077169898293254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367628021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65603393,0.016698603,0.051939823,0.054856837,0.002614922,0.00044232878,0.0014461705,0.0017216615,0.21424575],"genre_scores_gemma":[0.9699584,0.0051084477,0.008034111,0.0014012246,0.0001624221,0.000059131078,0.00051723485,0.00010075645,0.014658166],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991621,0.0002141372,0.000030157762,0.000098232886,0.00032375532,0.00017167904],"domain_scores_gemma":[0.99798644,0.00037075547,0.0002169789,0.00023556563,0.0010776299,0.00011259443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011685999,0.00028912973,0.00027115177,0.00017568392,0.00035901938,0.0016914884,0.0009104064,0.0011326764,0.016195416],"category_scores_gemma":[0.005561161,0.00011844955,0.00021787363,0.0003471743,0.00052565825,0.0033452685,0.000464594,0.000503267,0.0045172786],"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":[0.0008906651,0.0004924939,0.043744665,0.0013496979,0.000065779044,0.00088689657,0.0008714558,0.002571637,0.0150974,0.024837876,0.06101919,0.8481723],"study_design_scores_gemma":[0.00018574198,0.0018804128,0.053278714,0.001420045,0.00012243683,0.0036344328,0.02599195,0.008987509,0.052005157,0.021335064,0.83101064,0.00014790012],"about_ca_topic_score_codex":0.002445396,"about_ca_topic_score_gemma":0.0034251364,"teacher_disagreement_score":0.016195416,"about_ca_system_score_codex":0.00046653245,"about_ca_system_score_gemma":0.00091485423,"threshold_uncertainty_score":0.054179072},"labels":[],"label_agreement":null},{"id":"W4368363431","doi":"10.32388/ou11eq","title":"Blockchain EV Payment Systems: A Systematic Literature Review in Retail Energy Trading","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Operationalization; Blockchain; Scalability; Payment; Electric vehicle; Work (physics); Process (computing); Business; Sample (material); Computer science; Computer security; Marketing; Data science; Engineering; Database; Finance; Mechanical engineering","score_opus":0.013403498749875424,"score_gpt":0.21343713250683669,"score_spread":0.20003363375696126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368363431","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018653026,0.99537957,0.00067048153,0.0006836121,0.00015521153,0.00025819748,0.00033742748,0.000010460121,0.0006397865],"genre_scores_gemma":[0.019088872,0.9773117,0.0019654636,0.0005853175,0.000073357,0.00044851325,0.00035912587,0.000009618638,0.00015796378],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9849203,0.0066226083,0.004901768,0.0008259268,0.0023212049,0.0004080405],"domain_scores_gemma":[0.92238003,0.060556922,0.006945657,0.0012079254,0.00821296,0.000696556],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.016628742,0.0012046725,0.00354197,0.025935413,0.0010847434,0.0030186896,0.001292471,0.0021690147,0.003279343],"category_scores_gemma":[0.06341015,0.00090134074,0.0030494132,0.023220897,0.0014322426,0.004352169,0.0027928133,0.0014985314,0.00043785814],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016277746,0.000037922422,0.0012034338,0.8084858,0.0015411829,0.00026590575,0.0013359181,0.0004690522,0.00042068565,0.0021745719,0.0039295983,0.17997307],"study_design_scores_gemma":[0.00005338901,0.00014316692,0.0020701059,0.93810266,0.0062895063,0.00038707597,0.0012781582,0.00016857027,0.00028527886,0.0013928631,0.049791127,0.000038014732],"about_ca_topic_score_codex":0.00567884,"about_ca_topic_score_gemma":0.019594964,"teacher_disagreement_score":0.99645805,"about_ca_system_score_codex":0.003652714,"about_ca_system_score_gemma":0.027813502,"threshold_uncertainty_score":0.08794224},"labels":[],"label_agreement":null},{"id":"W4372324593","doi":"10.54691/bcpbm.v44i.4887","title":"Optimizing the Performance of Factor Analysis Model by Using Clustering——Take Electric Vehicle as an Example","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electric vehicle; Cluster analysis; Cluster (spacecraft); Computer science; Automotive engineering; Factor (programming language); Automotive industry; Operations research; Engineering; Artificial intelligence","score_opus":0.019633930365646195,"score_gpt":0.2217787468260957,"score_spread":0.2021448164604495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372324593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06330725,0.000365798,0.9330231,0.0003938489,0.000051088446,0.00010055254,0.00011203965,0.0010132066,0.0016332663],"genre_scores_gemma":[0.6742052,0.00035423317,0.3232736,0.000080399885,0.00004778026,0.00020544305,0.00044969,0.00017826508,0.0012053758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983619,0.000918537,0.00007572722,0.00029876237,0.00017153665,0.0001736446],"domain_scores_gemma":[0.9974964,0.0015939298,0.0001244518,0.00014950304,0.00057370233,0.00006188966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033199182,0.0018848098,0.001044789,0.001302735,0.0008785734,0.0011683939,0.0007805887,0.0009950295,0.0013919736],"category_scores_gemma":[0.008131475,0.00047022945,0.0014312869,0.0012870382,0.0003524223,0.0012313735,0.0007020667,0.0009419884,0.0005427387],"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":[0.0002782172,0.0001968178,0.006573802,0.0001517148,0.00026460615,0.000095773525,0.000190812,0.8044431,0.0033194572,0.0035491218,0.0026594866,0.17827705],"study_design_scores_gemma":[0.000009342172,0.000029955709,0.00063130393,0.0000056849117,0.00001917189,0.000009553816,0.0000372978,0.9972277,0.00062827807,0.0011647963,0.00022710055,0.000009808726],"about_ca_topic_score_codex":0.029200573,"about_ca_topic_score_gemma":0.010785026,"teacher_disagreement_score":0.029200573,"about_ca_system_score_codex":0.0009102113,"about_ca_system_score_gemma":0.001646465,"threshold_uncertainty_score":0.058061242},"labels":[],"label_agreement":null},{"id":"W4375844648","doi":"10.1016/j.segan.2023.101063","title":"Optimal allocation of FCSs and PV units in smart grids considering traffic and generation dispatch","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"American University of Sharjah","keywords":"Computer science; Optimal allocation; Mathematical optimization; Simulation; Mathematics","score_opus":0.005593991547511668,"score_gpt":0.1808885201368809,"score_spread":0.17529452858936923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375844648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36920696,0.00086488767,0.58125025,0.0012875469,0.00030619992,0.00032400954,0.0005715392,0.00049187226,0.045696773],"genre_scores_gemma":[0.9857432,0.000081902836,0.011401259,0.000029765599,0.000022472945,0.000041049032,0.000038759215,0.00001778889,0.002623723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995098,0.00018486135,0.000015710935,0.00008531584,0.00006789839,0.00013637842],"domain_scores_gemma":[0.999408,0.00029866752,0.0000628359,0.000028974075,0.00012035539,0.00008124957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007820014,0.0006995028,0.0012818695,0.00063708704,0.0004795024,0.0016440715,0.0010598677,0.0012310474,0.0054982365],"category_scores_gemma":[0.002030271,0.00071568723,0.00041111946,0.00081726554,0.0006010996,0.001224463,0.000580363,0.00069835415,0.0004096315],"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":[0.00011154062,0.000029102022,0.0002429881,0.00002472746,0.000015201752,0.000031375574,0.000018276027,0.9835405,0.0005880315,0.005346618,0.00058770465,0.009463979],"study_design_scores_gemma":[0.000014259903,0.000023135512,0.00016552767,0.0000038473268,0.0000079375795,0.0000063791567,0.00001819599,0.9969236,0.00018845768,0.0023932233,0.0002520746,0.0000032645833],"about_ca_topic_score_codex":0.007833228,"about_ca_topic_score_gemma":0.009963503,"teacher_disagreement_score":0.007833228,"about_ca_system_score_codex":0.0016409782,"about_ca_system_score_gemma":0.0010555706,"threshold_uncertainty_score":0.018393397},"labels":[],"label_agreement":null},{"id":"W4375953269","doi":"10.1016/j.trd.2023.103749","title":"Evaluating environmental benefits from driving electric vehicles: The case of Shanghai, China","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Fund of Shandong University; Shanghai Office of Philosophy and Social Science; National Social Science Fund of China; Major Program of National Fund of Philosophy and Social Science of China","keywords":"Electric vehicle; Subsidy; Battery electric vehicle; Internal combustion engine; China; Green vehicle; Air pollutants; Automotive engineering; Transport engineering; Environmental science; Environmental economics; Business; Air pollution; Engineering; Fuel efficiency; Economics","score_opus":0.03078147670184128,"score_gpt":0.2785000049422577,"score_spread":0.2477185282404164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375953269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977448,0.000074266245,0.00017456706,0.00008005375,0.0000034330046,0.000015122791,0.00012826771,0.000005848053,0.001773671],"genre_scores_gemma":[0.99914324,0.00006950355,0.00013717309,0.000007365929,0.0000017178553,0.000004368787,0.00010291952,0.0000023862892,0.0005313429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993617,0.00023597958,0.000019107394,0.000062130406,0.000086947,0.00023423116],"domain_scores_gemma":[0.99854916,0.00079241506,0.00010310484,0.000061680956,0.0002868651,0.00020675443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195294,0.0008470377,0.0005102066,0.0012631947,0.0009484423,0.0022264186,0.0008644081,0.0010192329,0.001987233],"category_scores_gemma":[0.0022644836,0.00029141616,0.0008347684,0.001976123,0.0012755614,0.0010569908,0.0008206126,0.00057970977,0.00009980879],"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":[0.0016741023,0.0012421584,0.28468433,0.00035341177,0.0005281111,0.008983336,0.0016759258,0.6632523,0.004597891,0.00981478,0.0017229009,0.021470817],"study_design_scores_gemma":[0.00033687573,0.001552547,0.36425403,0.00008248767,0.0009797041,0.0003782672,0.022812538,0.5963675,0.005228525,0.00427192,0.0035372775,0.00019833502],"about_ca_topic_score_codex":0.4661697,"about_ca_topic_score_gemma":0.47473085,"teacher_disagreement_score":0.4661697,"about_ca_system_score_codex":0.009195406,"about_ca_system_score_gemma":0.0041995393,"threshold_uncertainty_score":0.92691255},"labels":[],"label_agreement":null},{"id":"W4376171043","doi":"10.54254/2754-1169/4/2022912","title":"Research on the Marketing Strategy of Tesla Vehicle in China","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"SWOT analysis; Marketing; Business; Product (mathematics); Mainstream; Rivalry; Promotion (chess); Quality (philosophy); Service (business); Marketing mix; Marketing strategy; Economics","score_opus":0.019191698044376003,"score_gpt":0.29572870951585833,"score_spread":0.27653701147148235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376171043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691731,0.00047237432,0.00032810998,0.00054448895,0.000009843632,0.000058292153,0.000039714923,0.000010139352,0.02936384],"genre_scores_gemma":[0.98814744,0.0006298222,0.00027097904,0.00006384316,0.000005633427,0.0000144524,0.000043574382,0.0000022938134,0.010821907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995925,0.000068639216,0.000023090402,0.00005481813,0.00012918943,0.00013182305],"domain_scores_gemma":[0.99939644,0.0001340825,0.00011147475,0.000017057653,0.00022275091,0.0001181472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599463,0.00028028578,0.00018227517,0.0019853294,0.0017032471,0.0016231849,0.0004184894,0.00041214598,0.00538046],"category_scores_gemma":[0.0009980776,0.00013976276,0.00031432227,0.0022767154,0.0006364238,0.0016008812,0.00040322164,0.00032798428,0.00029724688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003856898,0.00078542467,0.5162245,0.0009126783,0.00012729874,0.0028160848,0.0685826,0.004705098,0.015176612,0.0875427,0.008288866,0.2944525],"study_design_scores_gemma":[0.000039144426,0.00077551027,0.8045938,0.00029187885,0.00021127902,0.000506446,0.08775852,0.019264402,0.0072061154,0.0054451814,0.07379652,0.00011122808],"about_ca_topic_score_codex":0.05545428,"about_ca_topic_score_gemma":0.06866535,"teacher_disagreement_score":0.05545428,"about_ca_system_score_codex":0.0073764496,"about_ca_system_score_gemma":0.0061312597,"threshold_uncertainty_score":0.11026299},"labels":[],"label_agreement":null},{"id":"W4376609255","doi":"10.32388/0hathb","title":"Review of: \"Blockchain EV Payment Systems: A Systematic Literature Review in Retail Energy Trading\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Canada West","funders":"","keywords":"Blockchain; Payment; Business; Commerce; Computer science; Computer security; Finance","score_opus":0.01383828118412499,"score_gpt":0.23722055121934843,"score_spread":0.22338227003522343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376609255","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014032973,0.9668077,0.0012386708,0.015933836,0.006711004,0.0036106464,0.0026045975,0.00008234255,0.0016078552],"genre_scores_gemma":[0.021801392,0.94621,0.0039517353,0.017447062,0.0030497224,0.0042960816,0.0017291998,0.000082134786,0.0014325995],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9492117,0.022324786,0.017013159,0.0025671215,0.0077571603,0.0011261168],"domain_scores_gemma":[0.7844581,0.14044611,0.03760254,0.0038095128,0.03064078,0.0030429794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05298231,0.0016808584,0.008355455,0.013206307,0.0016154605,0.006851843,0.0036315273,0.004943743,0.019302363],"category_scores_gemma":[0.22962831,0.0015930209,0.0074834772,0.010022078,0.0030938499,0.0056133494,0.004792601,0.003771712,0.0022146746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039722223,0.000037564958,0.0004414279,0.9165024,0.00397291,0.00009148578,0.00042484736,0.000091105045,0.00021786916,0.0007264272,0.026862219,0.05023452],"study_design_scores_gemma":[0.00063342677,0.00015009563,0.0015416151,0.9353933,0.017192015,0.00012192311,0.00025572968,0.00006336868,0.00011896778,0.00059094816,0.043887462,0.00005116989],"about_ca_topic_score_codex":0.006067498,"about_ca_topic_score_gemma":0.025396757,"teacher_disagreement_score":0.05298231,"about_ca_system_score_codex":0.0075050383,"about_ca_system_score_gemma":0.066565275,"threshold_uncertainty_score":0.2802006},"labels":[],"label_agreement":null},{"id":"W4376619118","doi":"10.1016/j.jclepro.2023.137401","title":"Exploratory policy analysis for electric vehicle adoption in European countries: A multi-agent-based modelling approach","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Incentive; Business; Electric vehicle; Exploratory research; Point (geometry); Process (computing); Population; Environmental economics; Neutrality; Economics; Computer science; Market economy","score_opus":0.0257472914934585,"score_gpt":0.23614478790420984,"score_spread":0.21039749641075134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376619118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8593945,0.0010541249,0.10940884,0.0026926433,0.000043120595,0.00013138924,0.002489762,0.00021069172,0.024574919],"genre_scores_gemma":[0.99229604,0.00034756292,0.0051273797,0.000043385437,0.000007969287,0.000064024556,0.00038178382,0.000019269324,0.0017126705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991059,0.0005666189,0.00004009178,0.00010261451,0.000060064423,0.00012472313],"domain_scores_gemma":[0.9956671,0.003678551,0.0003148519,0.000099662066,0.00014995945,0.00008990933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020559926,0.00057887327,0.0009816614,0.0017939857,0.0005180674,0.0024931629,0.0010250323,0.002188264,0.0048540537],"category_scores_gemma":[0.0057415976,0.0006591169,0.0016621795,0.0020916706,0.00067973183,0.0023119915,0.0010654944,0.0011997798,0.00020165954],"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":[0.000049706978,0.000051510076,0.002446039,0.00003422797,0.000069244146,0.00013077374,0.00006167502,0.9740364,0.00010824012,0.021382337,0.00024551383,0.0013843747],"study_design_scores_gemma":[0.000019208303,0.000038300517,0.0019033088,0.00002946893,0.00003935602,0.000021756936,0.00027100675,0.98503995,0.00015159044,0.011568061,0.00090112945,0.000016882945],"about_ca_topic_score_codex":0.040611293,"about_ca_topic_score_gemma":0.019247185,"teacher_disagreement_score":0.040611293,"about_ca_system_score_codex":0.0029165708,"about_ca_system_score_gemma":0.0021594195,"threshold_uncertainty_score":0.08074981},"labels":[],"label_agreement":null},{"id":"W4376956987","doi":"10.3390/en16104093","title":"Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Hydro; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Ontario Centre of Innovation","keywords":"Randomness; Electricity; Computer science; Reliability (semiconductor); Bayesian inference; Electric vehicle; Demand forecasting; Bayesian probability; Interval (graph theory); Artificial neural network; Mains electricity; Probabilistic forecasting; Econometrics; Operations research; Economics; Artificial intelligence; Engineering; Voltage; Statistics; Probabilistic logic; Power (physics)","score_opus":0.02399711630829156,"score_gpt":0.22471896175768222,"score_spread":0.20072184544939065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376956987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94577104,0.0002201837,0.050147835,0.00027823,0.000060454793,0.000022589704,0.0009159367,0.0002973465,0.0022864388],"genre_scores_gemma":[0.9968166,0.000048130772,0.0023449291,0.000010478819,0.00000763053,0.0000065142513,0.00044255445,0.0000050273993,0.00031821313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998802,0.000029534533,0.0000077396635,0.000035638863,0.000024250368,0.000022715793],"domain_scores_gemma":[0.9994598,0.00030599738,0.00006142313,0.000034222874,0.00011177959,0.000026725902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050214597,0.00034193337,0.00037382933,0.00031739046,0.00014804117,0.0003691456,0.00053583976,0.0004758956,0.0012020144],"category_scores_gemma":[0.0019912582,0.0001348042,0.00024450565,0.00038751398,0.00010539821,0.0007380188,0.00032118932,0.000566695,0.00024923158],"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":[0.00044880217,0.00010463368,0.028825639,0.00005619379,0.000054764896,0.00016129459,0.00008190766,0.92174655,0.0012978808,0.0010190039,0.0016039195,0.044599365],"study_design_scores_gemma":[0.0000013755999,0.000009461725,0.0018535904,0.0000022345657,0.000002955343,0.000004788338,0.000016219916,0.9975936,0.00017311066,0.0002834625,0.000056692064,0.0000025733336],"about_ca_topic_score_codex":0.014176924,"about_ca_topic_score_gemma":0.0135592725,"teacher_disagreement_score":0.014176924,"about_ca_system_score_codex":0.00043626598,"about_ca_system_score_gemma":0.00024576212,"threshold_uncertainty_score":0.028188825},"labels":[],"label_agreement":null},{"id":"W4377097971","doi":"10.3390/en16104186","title":"Locating and Sizing Electric Vehicle Chargers Considering Multiple Technologies","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Group for Research in Decision Analysis; HEC Montréal","funders":"European Commission","keywords":"Sizing; Solver; Heuristic; Electric vehicle; Computer science; Set (abstract data type); Time horizon; Investment (military); Order (exchange); Mathematical optimization; Operations research; Real-time computing; Automotive engineering; Engineering; Business; Finance; Power (physics); Mathematics","score_opus":0.007085067397836216,"score_gpt":0.18557372362111899,"score_spread":0.17848865622328278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377097971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42698765,0.0008422697,0.54824406,0.00052250305,0.00011637624,0.00037638648,0.00069174415,0.00047681597,0.021742336],"genre_scores_gemma":[0.9037782,0.0002527327,0.09100291,0.000045761903,0.000026607564,0.000131342,0.00025363933,0.00006535041,0.0044434234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963415,0.00011753521,0.000014261739,0.00009113166,0.000056424247,0.000086532316],"domain_scores_gemma":[0.99940217,0.00039518613,0.00008024219,0.000023039993,0.000053349137,0.000045890025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006393849,0.0013044712,0.0010875232,0.0008333391,0.00040467008,0.0016671885,0.0010651473,0.0011864292,0.003956516],"category_scores_gemma":[0.0017608847,0.0008334523,0.00097216776,0.0011922903,0.0005320546,0.0009186915,0.0007483534,0.0006732104,0.00025409608],"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":[0.000028045597,0.0000180315,0.00048754027,0.00003947726,0.000014830257,0.00007318786,0.000012506289,0.99221146,0.0003863809,0.0010792036,0.00019143586,0.0054580183],"study_design_scores_gemma":[0.0000136430235,0.000043001608,0.000351278,0.000008567348,0.000018776986,0.000025195512,0.000059790884,0.9970049,0.00039415795,0.0015724327,0.0005028189,0.000005429362],"about_ca_topic_score_codex":0.012946977,"about_ca_topic_score_gemma":0.014437813,"teacher_disagreement_score":0.012946977,"about_ca_system_score_codex":0.0013889638,"about_ca_system_score_gemma":0.0017187897,"threshold_uncertainty_score":0.025743186},"labels":[],"label_agreement":null},{"id":"W4377965208","doi":"10.2172/1974577","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Fourth Quarter 2022)","year":2023,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electricity; Renewable energy; Transport engineering; Electric vehicle; Environmental economics; Business; Telecommunications; Engineering; Electrical engineering; Economics; Geography","score_opus":0.0144058598596762,"score_gpt":0.24960945669313875,"score_spread":0.23520359683346254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377965208","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09389653,0.0019309329,0.0023935265,0.0024460298,0.0005466642,0.00011169952,0.80397254,0.001331351,0.093370646],"genre_scores_gemma":[0.17159188,0.004752916,0.0048534996,0.0008006865,0.00020396827,0.00032642583,0.75185317,0.00040520862,0.06521216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994338,0.000032733733,0.000037464968,0.00006310585,0.00033705417,0.00009580381],"domain_scores_gemma":[0.99845624,0.00008343049,0.00027926252,0.00006760571,0.00101173,0.00010178362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006088217,0.0005460784,0.00021001221,0.0024437308,0.00030709858,0.0014449677,0.00037782534,0.0003834537,0.007278231],"category_scores_gemma":[0.0017577225,0.00026992068,0.0004870382,0.004912969,0.00008363653,0.0011739223,0.0007760955,0.000651375,0.005133244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016023175,0.000090062225,0.09763967,0.00050252635,0.0000634433,0.00017729409,0.00030195736,0.0029822323,0.0009814346,0.0022219801,0.8196539,0.075225405],"study_design_scores_gemma":[0.00001744184,0.000086800144,0.30176568,0.00023519117,0.00005101335,0.00024341147,0.0008203828,0.0023786733,0.003085334,0.0004369852,0.6908403,0.000038829643],"about_ca_topic_score_codex":0.08776185,"about_ca_topic_score_gemma":0.09271316,"teacher_disagreement_score":0.08776185,"about_ca_system_score_codex":0.001681578,"about_ca_system_score_gemma":0.0017187798,"threshold_uncertainty_score":0.17450202},"labels":[],"label_agreement":null},{"id":"W4377966351","doi":"10.1109/oncon56984.2022.10126788","title":"An Aggregator for Energy Dispatch among Plug-in Electric Vehicles for V2X Application","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"News aggregator; Electric vehicle; State of charge; Grid; Computer science; Plug-in; Automotive engineering; Energy (signal processing); Battery (electricity); Engineering; Power (physics); Mathematics; Operating system","score_opus":0.002941366869862297,"score_gpt":0.19251068155668177,"score_spread":0.18956931468681948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377966351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046456914,0.00025996892,0.94029975,0.00016392578,0.00019162582,0.00021207565,0.00011756357,0.0019738437,0.010324236],"genre_scores_gemma":[0.77655184,0.00019056923,0.21329229,0.00009072144,0.00011239801,0.00019723663,0.00031299912,0.00014266853,0.009109281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.00006760314,0.000018384371,0.00005529381,0.00006230246,0.000036496225],"domain_scores_gemma":[0.9997807,0.000058839683,0.000027950698,0.000025227377,0.00007598722,0.00003116232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060095434,0.0008467848,0.00059226947,0.00037579203,0.0006488211,0.0008473542,0.0009419467,0.000444499,0.0035784454],"category_scores_gemma":[0.0006542712,0.00025776916,0.00028770094,0.00036664374,0.00016942417,0.0005400818,0.00066621485,0.00061791786,0.0009810883],"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":[0.0005725963,0.00023508207,0.0037502723,0.0003329135,0.00021900045,0.00061133207,0.00040625787,0.5627231,0.037123505,0.022051508,0.012439851,0.35953465],"study_design_scores_gemma":[0.000028641125,0.00010226103,0.0002793493,0.000010390336,0.000027187512,0.00007311612,0.000048980986,0.9858247,0.0049008587,0.0021982219,0.0064955093,0.000010832498],"about_ca_topic_score_codex":0.0014349074,"about_ca_topic_score_gemma":0.0027942492,"teacher_disagreement_score":0.0035784454,"about_ca_system_score_codex":0.00046341855,"about_ca_system_score_gemma":0.0006149925,"threshold_uncertainty_score":0.011971116},"labels":[],"label_agreement":null},{"id":"W4377971359","doi":"10.1109/tits.2023.3276947","title":"MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Probabilistic logic; Probabilistic forecasting; Leverage (statistics); Computer science; Electric vehicle; Transformer; Charging station; Electric power system; Automotive engineering; Reliability engineering; Engineering; Voltage; Artificial intelligence; Power (physics); Electrical engineering","score_opus":0.030128930120843864,"score_gpt":0.2398463527796661,"score_spread":0.20971742265882223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377971359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027312221,0.0009459269,0.9648989,0.000715537,0.00017067287,0.000053848296,0.0008415763,0.0023708406,0.0026906002],"genre_scores_gemma":[0.8161226,0.0009701454,0.17296183,0.000695281,0.00033203565,0.00017872221,0.0025064335,0.0003064073,0.0059265583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994455,0.00016456819,0.000040006435,0.00015378947,0.00012723042,0.000068899564],"domain_scores_gemma":[0.998259,0.00094613037,0.00017190102,0.0001701907,0.00036742157,0.000085235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017588272,0.0013219549,0.0014346082,0.0011898675,0.00044076107,0.0011720915,0.0021216674,0.0012482759,0.0028255992],"category_scores_gemma":[0.0048586116,0.0006279303,0.000990575,0.0014320688,0.00046290818,0.0019277884,0.000991565,0.001724959,0.0010721489],"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":[0.00012601179,0.000056516514,0.0017985089,0.000059114693,0.000049360155,0.000060167717,0.00003858696,0.8988473,0.0007996826,0.0029204094,0.0032735213,0.09197085],"study_design_scores_gemma":[0.0000026018517,0.000007942745,0.00008095714,0.0000031564302,0.0000039476568,0.0000073268984,0.0000028972684,0.99817467,0.00015073954,0.0013300879,0.00023243537,0.0000032870107],"about_ca_topic_score_codex":0.011549753,"about_ca_topic_score_gemma":0.013652173,"teacher_disagreement_score":0.011549753,"about_ca_system_score_codex":0.0010207881,"about_ca_system_score_gemma":0.001433513,"threshold_uncertainty_score":0.022965014},"labels":[],"label_agreement":null},{"id":"W4378219327","doi":"10.1287/ijoc.2022.0185","title":"Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models","year":2023,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Université de Montréal","funders":"","keywords":"Heuristics; Computer science; Mathematical optimization; Heuristic; Greedy algorithm; Bilevel optimization; Operations research; Electric vehicle; Charging station; Greedy randomized adaptive search procedure; Frame (networking); Optimization problem; Algorithm; Artificial intelligence; Engineering; Mathematics; Power (physics)","score_opus":0.015850565749374133,"score_gpt":0.25709505922939313,"score_spread":0.241244493480019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378219327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019729124,0.0003688039,0.97190213,0.00047472943,0.00005578428,0.000109471526,0.0002985725,0.00011728519,0.0069440356],"genre_scores_gemma":[0.6877187,0.0010243923,0.29515544,0.00017955882,0.00008098677,0.00060353643,0.0004888617,0.00014711962,0.014601377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988244,0.0005820584,0.00003772312,0.00017501412,0.00021764457,0.00016314884],"domain_scores_gemma":[0.9973979,0.002014919,0.00022444551,0.00007543903,0.00016053682,0.00012674571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018553761,0.0012091092,0.0016397935,0.0008023989,0.00041351808,0.0022737535,0.0014509908,0.0018246371,0.005507952],"category_scores_gemma":[0.0045658015,0.0012251909,0.0015625927,0.0014314286,0.0010334512,0.0013948638,0.0013698504,0.0017923855,0.0005037788],"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":[0.000011940329,0.000010293551,0.00011827896,0.000026180755,0.000008408605,0.000019966143,0.000013126486,0.99242014,0.00009458924,0.005314608,0.00017739847,0.0017851051],"study_design_scores_gemma":[0.0000073015435,0.000010972106,0.00003662901,0.0000061612245,0.000003621054,0.0000055503638,0.000007782088,0.9949244,0.000067762,0.0045090946,0.00041725306,0.0000034063792],"about_ca_topic_score_codex":0.008155492,"about_ca_topic_score_gemma":0.007396489,"teacher_disagreement_score":0.008155492,"about_ca_system_score_codex":0.0021378289,"about_ca_system_score_gemma":0.0020854175,"threshold_uncertainty_score":0.018425941},"labels":[],"label_agreement":null},{"id":"W4378226164","doi":"10.3390/jrfm16060283","title":"How Efficient and Socially Sensitive Are Fiscal Incentives for Electric Cars in Europe?","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Electricity; Business; Population; Sample (material); Economics; Engineering; Microeconomics","score_opus":0.0032472879064565623,"score_gpt":0.17633920804050401,"score_spread":0.17309192013404745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378226164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599374,0.006155125,0.0017597256,0.0037007537,0.000087969915,0.000024171524,0.0004645279,0.000017651579,0.027852597],"genre_scores_gemma":[0.99722904,0.0011607995,0.00024798204,0.00027196488,0.000037153608,0.000006520963,0.00015216862,0.000004737523,0.00088956236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779546,0.0008449652,0.00015818316,0.00029657083,0.0004060239,0.00049872784],"domain_scores_gemma":[0.9952188,0.0010188775,0.0027780212,0.00024345482,0.00038387012,0.0003568722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035192086,0.00029755846,0.0004513988,0.0017224303,0.00042439075,0.003751261,0.0004642314,0.0011188602,0.0019153194],"category_scores_gemma":[0.008651761,0.00020238553,0.0005900968,0.0013983593,0.0015528913,0.0022747957,0.0016717836,0.0006056308,0.00019543807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010032172,0.00054350245,0.5843164,0.00078407826,0.0013796343,0.0013326604,0.001435756,0.05070956,0.002412563,0.20150119,0.0043720803,0.15020953],"study_design_scores_gemma":[0.00007075799,0.00039739718,0.91275585,0.000589155,0.0002217346,0.0007324059,0.0030955835,0.0043897033,0.0015424993,0.033782415,0.042329982,0.00009250769],"about_ca_topic_score_codex":0.0040787715,"about_ca_topic_score_gemma":0.0035687215,"teacher_disagreement_score":0.0040787715,"about_ca_system_score_codex":0.0016539838,"about_ca_system_score_gemma":0.0013373112,"threshold_uncertainty_score":0.01861155},"labels":[],"label_agreement":null},{"id":"W4378228208","doi":"10.3390/en16114302","title":"Optimizing Electric Vehicle Operations for a Smart Environment: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Electrification; Renewable energy; Smart grid; Incentive; Greenhouse gas; Environmental economics; Electric vehicle; Grid; Battery (electricity); Engineering; Automotive engineering; Computer science; Transport engineering; Electricity; Electrical engineering; Power (physics)","score_opus":0.031468752374355785,"score_gpt":0.26976011719407433,"score_spread":0.23829136481971855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378228208","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023385155,0.9975593,0.00036028435,0.00016847244,0.00012233312,0.0000080129785,0.000026308398,0.000007848947,0.0015135232],"genre_scores_gemma":[0.0012676356,0.9979284,0.00029130644,0.00007026754,0.0000832918,0.00000553964,0.00003108519,0.000002083496,0.0003204276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997353,0.000040941606,0.00004235713,0.000054494583,0.000104568404,0.00002238126],"domain_scores_gemma":[0.99928695,0.00041798997,0.00008301999,0.000021117741,0.00016672014,0.000024148585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583527,0.0010233378,0.0013289447,0.0019474512,0.00022975894,0.0011502063,0.0007771875,0.0009539079,0.0040139784],"category_scores_gemma":[0.0010772295,0.0004004089,0.00082283554,0.0031803695,0.0002793574,0.001281726,0.00051849126,0.0008762559,0.0013111051],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053854314,0.00011607487,0.00037458175,0.052496456,0.00023853274,0.0001195274,0.00008233705,0.002704623,0.0010846271,0.009318494,0.019910766,0.91350013],"study_design_scores_gemma":[0.0000134342445,0.00018237453,0.0012352163,0.016006503,0.00043462595,0.0004894938,0.00011856261,0.00071885734,0.0006352818,0.0035707145,0.9765559,0.000039157505],"about_ca_topic_score_codex":0.0019462004,"about_ca_topic_score_gemma":0.0023891123,"teacher_disagreement_score":0.0040139784,"about_ca_system_score_codex":0.00047306,"about_ca_system_score_gemma":0.0015216889,"threshold_uncertainty_score":0.013428092},"labels":[],"label_agreement":null},{"id":"W4378365088","doi":"10.1109/tpwrs.2023.3280434","title":"EVSE Effectiveness in Multi-Unit Residential Buildings Using Composite Optimization and Heuristic Search","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 Ottawa","funders":"","keywords":"Computer science; Heuristic; Schedule; Reliability engineering; Energy management; Operating cost; Operations research; Engineering; Energy (signal processing); Artificial intelligence","score_opus":0.018732742718215914,"score_gpt":0.2595084655496591,"score_spread":0.24077572283144322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378365088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52317244,0.0013412993,0.46348947,0.00042005838,0.00007060648,0.00018378058,0.00021144071,0.0003386565,0.010772208],"genre_scores_gemma":[0.9589566,0.00017522341,0.039897986,0.00003159903,0.000009991249,0.000068883564,0.00006977195,0.00002374788,0.00076619454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999476,0.00027163493,0.000021769114,0.00006710317,0.00006530955,0.00009815641],"domain_scores_gemma":[0.99827194,0.0013464118,0.00013753532,0.00005235887,0.00011160533,0.000080137535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014657346,0.0009719386,0.0011902398,0.0013808379,0.0004473553,0.00123036,0.000757787,0.001184042,0.0012823659],"category_scores_gemma":[0.0027170004,0.0004901558,0.0009667985,0.00096182304,0.0006063271,0.00094290794,0.0008567407,0.0006388607,0.00009659118],"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":[0.000025061436,0.000023983837,0.00034510568,0.00001510272,0.0000132889745,0.0000150146725,0.0000061457,0.9958391,0.00009290033,0.00067477685,0.00007202796,0.0028774226],"study_design_scores_gemma":[0.0000041692447,0.000023326502,0.000079204015,0.0000021605267,0.00000477968,0.000002933061,0.000011672102,0.9994469,0.00006021669,0.00032376146,0.000038944872,0.0000019391803],"about_ca_topic_score_codex":0.009645734,"about_ca_topic_score_gemma":0.010409871,"teacher_disagreement_score":0.009645734,"about_ca_system_score_codex":0.0011850648,"about_ca_system_score_gemma":0.0012617962,"threshold_uncertainty_score":0.019179165},"labels":[],"label_agreement":null},{"id":"W4379203749","doi":"10.1016/j.trd.2023.103797","title":"Achieving urban net-zero targets through regionalized electric bus penetration and energy transition","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Greenhouse gas; Public transport; Environmental economics; Market penetration; Zero emission; Natural resource economics; Business; Energy consumption; Corporate governance; Fuel efficiency; Electricity; Transport engineering; Environmental science; Engineering; Economics; Finance; Waste management","score_opus":0.0193108749352636,"score_gpt":0.23784887471115865,"score_spread":0.21853799977589505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379203749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5831483,0.0010023774,0.0999994,0.012087658,0.0002447955,0.00014148092,0.0011478609,0.0011159008,0.3011123],"genre_scores_gemma":[0.98965585,0.00016458725,0.0034951118,0.0002911599,0.000010776148,0.000035376786,0.0001403299,0.00004230362,0.006164625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994809,0.00014769268,0.0000096533,0.00005998706,0.00007154843,0.0002302161],"domain_scores_gemma":[0.9995228,0.00009603674,0.000077463505,0.000044913366,0.00016905587,0.00008974808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008527425,0.0003748778,0.00027207003,0.00030561193,0.00037237632,0.0018366196,0.0006539626,0.0006379353,0.0071665808],"category_scores_gemma":[0.0017627623,0.00013910675,0.0003877991,0.0004101156,0.0006166365,0.0015142224,0.002699833,0.0008908479,0.001236932],"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":[0.0007994028,0.00044978628,0.018163636,0.00039011237,0.000106584484,0.0003299435,0.000829103,0.13115412,0.014893492,0.70996934,0.021477442,0.10143709],"study_design_scores_gemma":[0.00023069876,0.0016123526,0.081112176,0.00039978125,0.00031134728,0.0004680357,0.011643455,0.14124466,0.044871543,0.5156873,0.20227654,0.0001420978],"about_ca_topic_score_codex":0.006831589,"about_ca_topic_score_gemma":0.016584294,"teacher_disagreement_score":0.0071665808,"about_ca_system_score_codex":0.0015304777,"about_ca_system_score_gemma":0.0032992864,"threshold_uncertainty_score":0.023974657},"labels":[],"label_agreement":null},{"id":"W4379621163","doi":"10.1109/ias/pca50164.2021.10143787","title":"Pathways to Alternative Power and Decarbonization Technologies in Cement Manufacturing","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Greenhouse gas; Cogeneration; Renewable energy; Environmental science; Waste management; Environmental economics; Carbon capture and storage (timeline); Coal; Electricity generation; Process engineering; Engineering; Climate change; Power (physics); Economics","score_opus":0.005213795182124399,"score_gpt":0.18551030495151466,"score_spread":0.18029650976939027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379621163","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09727719,0.056215458,0.13798714,0.02561179,0.00080839795,0.0005610112,0.0005253823,0.00050941325,0.68050414],"genre_scores_gemma":[0.73806494,0.07875917,0.10647303,0.0011099648,0.00013020843,0.0002558215,0.0003497646,0.000104072795,0.074753016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914765,0.00017243186,0.00002179642,0.00009291361,0.0004215194,0.00014365594],"domain_scores_gemma":[0.9996251,0.00011526325,0.000052132484,0.00003577042,0.00012344368,0.00004838519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011085353,0.00059334864,0.00020870312,0.001327605,0.0009203513,0.004369633,0.000833274,0.0017174197,0.01312426],"category_scores_gemma":[0.0007634909,0.00027556534,0.00034089165,0.0019991933,0.0012664825,0.004289923,0.0020769532,0.001352036,0.0020096975],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009895851,0.00038788575,0.0013239732,0.0008789657,0.00002672164,0.0006739679,0.0003847501,0.01816612,0.013901216,0.70176923,0.008728267,0.25366],"study_design_scores_gemma":[0.00004870183,0.000494035,0.0024282078,0.0008910628,0.000029782306,0.00071290863,0.0025600274,0.026346387,0.030256987,0.3785559,0.5575999,0.00007612587],"about_ca_topic_score_codex":0.0023347393,"about_ca_topic_score_gemma":0.008228907,"teacher_disagreement_score":0.01312426,"about_ca_system_score_codex":0.0023659056,"about_ca_system_score_gemma":0.0026350752,"threshold_uncertainty_score":0.04390502},"labels":[],"label_agreement":null},{"id":"W4380190204","doi":"10.1007/978-981-19-8509-6","title":"Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique","year":2023,"lang":"en","type":"book","venue":"Key Technologies on New Energy Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Southeast University; University of Wollongong; Guangdong University of Technology; McMaster University; Beihang University; Ohio State University; Ford Motor Company","keywords":"Control theory (sociology); Nonlinear system; Robust control; Control (management); Computer science; Control engineering; Estimation; Robustness (evolution); Engineering; Artificial intelligence; Physics; Chemistry","score_opus":0.008489750141138478,"score_gpt":0.18756395474777895,"score_spread":0.17907420460664047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380190204","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008791734,0.00032937218,0.98621976,0.000056950124,0.00006011622,0.000011827803,0.000023835306,0.00021399387,0.004292285],"genre_scores_gemma":[0.8834978,0.000717132,0.09763272,0.00006978951,0.000110213616,0.000111395006,0.0001587412,0.00009127459,0.017611114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986756,0.000029754328,0.0000058278342,0.00002943866,0.000055351415,0.00001207704],"domain_scores_gemma":[0.99985945,0.000068154564,0.000018163451,0.0000140211,0.000036773363,0.0000034313618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019176105,0.00050068006,0.00044184158,0.00017667301,0.0001781707,0.00056214404,0.00047375698,0.0003501978,0.001698095],"category_scores_gemma":[0.000547491,0.00021200237,0.00023868412,0.00024564005,0.0002841899,0.0004043874,0.00034176474,0.00065879314,0.0004203604],"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":[0.000105783714,0.000027504844,0.0001097982,0.00013944687,0.00003668416,0.00006439388,0.00008547057,0.81165546,0.02004351,0.011929423,0.0023551597,0.15344733],"study_design_scores_gemma":[0.0000044194753,0.000039067905,0.00009707938,0.0000066664024,0.0000046281925,0.000010688192,0.0000072031653,0.9943779,0.0016787968,0.0024921172,0.0012765828,0.0000048741103],"about_ca_topic_score_codex":0.0033786413,"about_ca_topic_score_gemma":0.0023605747,"teacher_disagreement_score":0.0033786413,"about_ca_system_score_codex":0.00024196737,"about_ca_system_score_gemma":0.0002684099,"threshold_uncertainty_score":0.0067179203},"labels":[],"label_agreement":null},{"id":"W4380204000","doi":"10.32388/hk8t8l","title":"Review of: \"Blockchain EV Payment Systems: A Systematic Literature Review in Retail Energy Trading\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Payment; Business; Commerce; Payment system; Computer science; Computer security; Finance","score_opus":0.01383828118412499,"score_gpt":0.23722055121934843,"score_spread":0.22338227003522343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380204000","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012192191,0.97792983,0.0011871024,0.009537085,0.0037625143,0.0022971698,0.0024864646,0.00007857271,0.0015020253],"genre_scores_gemma":[0.01284804,0.9677949,0.002970227,0.009629664,0.0016659128,0.0025052808,0.0015297031,0.000060328657,0.0009960397],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9595179,0.015453073,0.01532175,0.0019103145,0.006944972,0.00085189944],"domain_scores_gemma":[0.8094453,0.118630484,0.03434014,0.0032184734,0.031467136,0.0028984111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04155658,0.0017342765,0.007965751,0.017782057,0.001487924,0.0060981573,0.0033975341,0.004047987,0.0144702755],"category_scores_gemma":[0.17389482,0.0013949036,0.006358718,0.013862442,0.002617573,0.0056139533,0.004611949,0.0028585517,0.0022306002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033140017,0.00003302519,0.00042141462,0.90775436,0.0030373076,0.00010115649,0.00040938033,0.000079566,0.0002952128,0.0005169323,0.025534436,0.061485797],"study_design_scores_gemma":[0.00038171123,0.00014029829,0.001652014,0.9267468,0.015382341,0.00016192153,0.00026982458,0.000054226886,0.00017046713,0.00047579725,0.054517608,0.00004710824],"about_ca_topic_score_codex":0.0051090154,"about_ca_topic_score_gemma":0.02170087,"teacher_disagreement_score":0.04155658,"about_ca_system_score_codex":0.005827867,"about_ca_system_score_gemma":0.05143517,"threshold_uncertainty_score":0.21977484},"labels":[],"label_agreement":null},{"id":"W4380224358","doi":"10.23977/jeeem.2023.060308","title":"Design of Mobile Charging Stations for Future Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Charging station; Conceptualization; Battery (electricity); Perspective (graphical); Computer science; Business model; Automotive engineering; Systems engineering; Engineering; Transport engineering; Business","score_opus":0.004526704321207692,"score_gpt":0.1974836463319014,"score_spread":0.19295694201069372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380224358","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02882707,0.00029067477,0.9389529,0.00048137733,0.00014209044,0.00020827068,0.00006764526,0.0005476082,0.030482348],"genre_scores_gemma":[0.706322,0.00070085964,0.2641558,0.00022475008,0.00007329779,0.00029903286,0.00015742694,0.00014038706,0.027926384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957675,0.00012374592,0.000022363587,0.00006976425,0.00013722175,0.00007004872],"domain_scores_gemma":[0.9997003,0.000053586282,0.000044054752,0.000047517027,0.00012521815,0.000029327906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048198152,0.0005019253,0.00028961833,0.00034007657,0.0005442994,0.0015280574,0.0016488165,0.0010507347,0.0065338523],"category_scores_gemma":[0.0009992927,0.00039670034,0.00042729324,0.0002980977,0.00039835356,0.0013174114,0.0008115129,0.0006050976,0.0021295443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003496269,0.00015949235,0.0026717433,0.00074048276,0.00010084698,0.0010352406,0.00081496185,0.34418434,0.061442588,0.33291578,0.007952275,0.24763264],"study_design_scores_gemma":[0.00015135316,0.000878305,0.00114314,0.00017492409,0.00013865111,0.00093639677,0.000764568,0.61252254,0.04653093,0.05325194,0.28343144,0.00007570506],"about_ca_topic_score_codex":0.0007814268,"about_ca_topic_score_gemma":0.000958195,"teacher_disagreement_score":0.0065338523,"about_ca_system_score_codex":0.0007355185,"about_ca_system_score_gemma":0.0006874039,"threshold_uncertainty_score":0.021857917},"labels":[],"label_agreement":null},{"id":"W4380224393","doi":"10.23977/jeeem.2023.060309","title":"Research and Application of New Energy Electric Vehicle Charging Technology Development","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Electric vehicle; New energy; Technology development; Energy (signal processing); Automotive engineering; Development (topology); Computer science; Engineering; Manufacturing engineering; Mechanical engineering; Aerospace engineering; Physics","score_opus":0.005869765390541005,"score_gpt":0.21874765334214727,"score_spread":0.21287788795160625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380224393","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16103867,0.36465374,0.15290412,0.0096782185,0.002610093,0.00039956343,0.00028672905,0.0003227756,0.30810612],"genre_scores_gemma":[0.60697436,0.30856624,0.032295603,0.00068828766,0.0009060677,0.00013245239,0.00035057502,0.000056071305,0.05003032],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908125,0.00015238278,0.000059096124,0.00014902002,0.00047409075,0.00008417504],"domain_scores_gemma":[0.99890673,0.00032942247,0.000074515716,0.0000716921,0.0005677966,0.000049856073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010438,0.00032861275,0.00032914203,0.0021575822,0.00042414587,0.0019365666,0.00090531324,0.00083485,0.0030560235],"category_scores_gemma":[0.0018220763,0.00021044859,0.0004599973,0.002683852,0.0006589034,0.0029256537,0.00071182905,0.00067657017,0.00076445733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012603748,0.00021185333,0.007705274,0.0025530993,0.00004704205,0.00050487934,0.0007275076,0.008715613,0.014175074,0.18894288,0.004636547,0.7716541],"study_design_scores_gemma":[0.000029397172,0.0006540048,0.009997388,0.0012581986,0.000086041124,0.0025855948,0.0021372035,0.036298327,0.062132485,0.07005568,0.8146546,0.00011117021],"about_ca_topic_score_codex":0.0014396372,"about_ca_topic_score_gemma":0.000737894,"teacher_disagreement_score":0.0030560235,"about_ca_system_score_codex":0.0014361392,"about_ca_system_score_gemma":0.0017922386,"threshold_uncertainty_score":0.010420024},"labels":[],"label_agreement":null},{"id":"W4380877068","doi":"10.1287/trsc.2021.0494","title":"Charging Station Location and Sizing for Electric Vehicles Under Congestion","year":2023,"lang":"en","type":"article","venue":"Transportation Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sizing; Bilevel optimization; Queue; Mathematical optimization; Charging station; Probabilistic logic; Computer science; Location model; Benchmark (surveying); Service (business); Electric vehicle; Queueing theory; Operations research; Optimization problem; Engineering; Computer network; Mathematics; Power (physics)","score_opus":0.013629978300084179,"score_gpt":0.24529126059885817,"score_spread":0.231661282298774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380877068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23300748,0.00032623793,0.7575172,0.00030026212,0.000058294052,0.0001232361,0.00025026628,0.00033819137,0.008078722],"genre_scores_gemma":[0.9616099,0.000117851705,0.035781994,0.000022464736,0.000013508974,0.000035621764,0.0001257445,0.000042184856,0.0022507207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995443,0.00012444427,0.000016893902,0.00009835803,0.00009768739,0.0001182631],"domain_scores_gemma":[0.9993592,0.0003332331,0.0001323885,0.00003448814,0.00008914766,0.000051653093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329092,0.000794969,0.0009878883,0.00070041703,0.00041291106,0.0013813785,0.0009474118,0.0006694507,0.0023052501],"category_scores_gemma":[0.0024208538,0.0007532143,0.00063602935,0.0009834943,0.0007232467,0.0010745242,0.00064766983,0.0006709446,0.00018579107],"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":[0.000021129717,0.00000661717,0.00023770593,0.000010667839,0.0000059287313,0.000015044811,0.000009859686,0.9947226,0.0003369028,0.001111305,0.000082606595,0.0034396066],"study_design_scores_gemma":[0.00000577069,0.000014857329,0.00011109573,0.0000019944682,0.00000371916,0.000005917744,0.000014475644,0.99786854,0.00021038843,0.0016213716,0.00013893154,0.0000028282843],"about_ca_topic_score_codex":0.010576635,"about_ca_topic_score_gemma":0.009018911,"teacher_disagreement_score":0.010576635,"about_ca_system_score_codex":0.0015000292,"about_ca_system_score_gemma":0.0016084098,"threshold_uncertainty_score":0.021030128},"labels":[],"label_agreement":null},{"id":"W4380882025","doi":"10.1145/3575813.3597353","title":"Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to Scheduling","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual power plant; Grid; Profitability index; Profit (economics); Computer science; Offset (computer science); Battery (electricity); Energy storage; Scheduling (production processes); Automotive engineering; Electrical engineering; Renewable energy; Business; Finance; Power (physics); Distributed generation; Engineering; Operations management; Economics; Operating system; Microeconomics","score_opus":0.02501323348382774,"score_gpt":0.24078407818975764,"score_spread":0.2157708447059299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380882025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088374816,0.00041366686,0.9022637,0.0007884226,0.000083889696,0.00026186756,0.00006415462,0.00019328212,0.007556268],"genre_scores_gemma":[0.84454465,0.00030513605,0.15244004,0.00009489748,0.000031852916,0.00014330281,0.000059591603,0.00007058399,0.0023099652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981458,0.0009674742,0.000066846434,0.00023588294,0.00029812427,0.00028595535],"domain_scores_gemma":[0.99719834,0.0014599626,0.00034113947,0.00026631617,0.00028850645,0.00044569207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036850912,0.0005723526,0.0007511729,0.00031408173,0.000792972,0.0021040486,0.0016696522,0.0009678666,0.0030985523],"category_scores_gemma":[0.0059348936,0.0006092376,0.00050383696,0.0005929792,0.0016150291,0.0026441994,0.0013328043,0.0014770179,0.00026702392],"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":[0.00017921292,0.00013034749,0.00097177515,0.00008051702,0.000027080183,0.00012613162,0.00017049648,0.86552125,0.0018095032,0.08785976,0.0013533889,0.041770548],"study_design_scores_gemma":[0.000035439192,0.000057916575,0.000093474526,0.000008584927,0.000007072808,0.000031776275,0.000049029702,0.97588533,0.0005861361,0.021417394,0.001818328,0.000009422639],"about_ca_topic_score_codex":0.005192163,"about_ca_topic_score_gemma":0.0044335527,"teacher_disagreement_score":0.005192163,"about_ca_system_score_codex":0.0018011505,"about_ca_system_score_gemma":0.0043233456,"threshold_uncertainty_score":0.019488811},"labels":[],"label_agreement":null},{"id":"W4383336980","doi":"10.1016/j.est.2023.108215","title":"Impact of intra-hourly scheduling on state of health of battery for electric vehicle integration in smart residential microgrid","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Scheduling (production processes); Electricity; Computer science; Integer programming; Automotive engineering; Fade; Simulation; Engineering; Electrical engineering; Operations management; Algorithm","score_opus":0.008293163397770358,"score_gpt":0.24880966386018788,"score_spread":0.24051650046241752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383336980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419564,0.00018067363,0.0036619222,0.00009957079,0.000080365724,0.000013212358,0.00021784981,0.00012476808,0.0014259458],"genre_scores_gemma":[0.9997845,0.000010423109,0.00008681043,0.000004054026,0.0000027890746,0.0000010288074,0.000033272616,0.0000029744754,0.00007416563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996604,0.00008217892,0.000021368662,0.000058811955,0.00005913134,0.00011817029],"domain_scores_gemma":[0.9980921,0.0009585265,0.00020148401,0.00013848204,0.00036174996,0.00024767575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073180074,0.00039035318,0.0004203135,0.00022728769,0.0002993568,0.0006690475,0.0003940039,0.00036211667,0.002348308],"category_scores_gemma":[0.0028281384,0.00014790459,0.0002269425,0.00027162812,0.0002364111,0.000621897,0.0003047818,0.00039011563,0.00022166988],"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":[0.0076412857,0.0007871228,0.07244442,0.00022643607,0.000266202,0.0009918545,0.00027005855,0.8241398,0.029437538,0.0011210281,0.002735484,0.05993877],"study_design_scores_gemma":[0.000097696044,0.0021103634,0.11441318,0.000031643875,0.00023858968,0.00030002007,0.0010557156,0.86407274,0.01558627,0.0011837608,0.0008561044,0.000053923046],"about_ca_topic_score_codex":0.004885598,"about_ca_topic_score_gemma":0.006542776,"teacher_disagreement_score":0.004885598,"about_ca_system_score_codex":0.00041814146,"about_ca_system_score_gemma":0.00039766263,"threshold_uncertainty_score":0.009714305},"labels":[],"label_agreement":null},{"id":"W4383340036","doi":"10.1016/j.apenergy.2023.121490","title":"A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Microgrid; Markov decision process; Reinforcement learning; Curse of dimensionality; Scheduling (production processes); Computer science; Economic dispatch; Mathematical optimization; Electric power system; Engineering; Markov process; Power (physics); Control (management); Artificial intelligence; Operations management","score_opus":0.007103791065192421,"score_gpt":0.20463305684583905,"score_spread":0.1975292657806466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383340036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069338284,0.00024014049,0.9210994,0.0002876521,0.000106365645,0.00010027945,0.00003314465,0.00069496635,0.008099801],"genre_scores_gemma":[0.9879067,0.000032908632,0.010814989,0.00004247523,0.000011025597,0.000024200455,0.000012612479,0.000013906407,0.0011411215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997756,0.000056051093,0.000011070732,0.000043154352,0.0000584843,0.000055556477],"domain_scores_gemma":[0.99967265,0.000109609246,0.00003823424,0.000020309966,0.00011830897,0.000040827883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044178072,0.0005188217,0.0006062496,0.0002102282,0.00041668312,0.0004916546,0.0007245516,0.000513633,0.0020840098],"category_scores_gemma":[0.0009669601,0.00016231272,0.00025600838,0.00014520023,0.0004068815,0.00038337547,0.00067019847,0.00055541826,0.00025230096],"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":[0.0002672226,0.00009852721,0.00070006493,0.00007803226,0.00002803669,0.00017742444,0.00008276892,0.917188,0.005456465,0.006876036,0.0015044439,0.067543],"study_design_scores_gemma":[0.000014461359,0.00004270086,0.0000858147,0.0000031136913,0.000004737716,0.000019141331,0.000008089421,0.9981071,0.00040943065,0.0010949151,0.00020725955,0.0000032132473],"about_ca_topic_score_codex":0.005740125,"about_ca_topic_score_gemma":0.0048530973,"teacher_disagreement_score":0.005740125,"about_ca_system_score_codex":0.00047200554,"about_ca_system_score_gemma":0.0009223722,"threshold_uncertainty_score":0.011413455},"labels":[],"label_agreement":null},{"id":"W4383340492","doi":"10.1109/tnse.2023.3293053","title":"Software Defined Networking Assisted Electric Vehicle Charging: Towards Smart Charge Scheduling and Management","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Scheduling (production processes); Computer science; Software; Electric vehicle; Electrical engineering; Embedded system; Engineering; Power (physics); Operating system; Physics","score_opus":0.010383504853184235,"score_gpt":0.19918456884344046,"score_spread":0.18880106399025623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383340492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04513136,0.0014655059,0.9453302,0.00063572015,0.0002365615,0.0000671041,0.000066112465,0.0016412622,0.005426185],"genre_scores_gemma":[0.8752298,0.0008615162,0.12103762,0.00024790427,0.00009053837,0.000062559324,0.0002330129,0.00006406462,0.0021729923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996313,0.00008154931,0.00002265305,0.00007061308,0.0001417218,0.000052206244],"domain_scores_gemma":[0.9997018,0.00006178543,0.0000369076,0.00004957999,0.00012392865,0.000025868525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056887564,0.0003993046,0.0002887694,0.00030844184,0.00023589638,0.0007401137,0.0008952505,0.0003411921,0.00047456898],"category_scores_gemma":[0.00085420435,0.00011394818,0.00019986133,0.00043464813,0.00021244207,0.0008894899,0.0006108356,0.0005974,0.00014529053],"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":[0.00030069798,0.00025861934,0.0039677816,0.00021274015,0.00007778694,0.00014238512,0.00015907583,0.35462016,0.02835643,0.031051569,0.0087582925,0.5720945],"study_design_scores_gemma":[0.000012777922,0.00004607048,0.0003223173,0.000008712173,0.000009088805,0.00004560414,0.000029187766,0.9826187,0.005224299,0.005732667,0.00594217,0.00000834365],"about_ca_topic_score_codex":0.0032378247,"about_ca_topic_score_gemma":0.0027082865,"teacher_disagreement_score":0.0032378247,"about_ca_system_score_codex":0.0005026066,"about_ca_system_score_gemma":0.0008558317,"threshold_uncertainty_score":0.0064379573},"labels":[],"label_agreement":null},{"id":"W4384916752","doi":"10.1109/access.2023.3296783","title":"Deep Reinforcement Learning-Based Charging Price Determination Considering the Coordinated Operation of Hydrogen Fuel Cell Electric Vehicle, Power Network and Transportation Network","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Shenzhen University","keywords":"Reinforcement learning; Microgrid; Computer science; Electricity; Scheduling (production processes); Automotive engineering; Mathematical optimization; Voltage; Engineering; Electrical engineering; Mathematics","score_opus":0.0072192912002718174,"score_gpt":0.21552012875782095,"score_spread":0.20830083755754913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384916752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24846816,0.0008698426,0.73577476,0.0010410177,0.00018282395,0.00008401495,0.0001557938,0.00083459506,0.012588959],"genre_scores_gemma":[0.9889854,0.00007134203,0.009286361,0.00008497516,0.000017832039,0.00002837687,0.000058752896,0.000014523152,0.0014524088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997811,0.00004448592,0.000009300919,0.00005487006,0.000038785514,0.00007153539],"domain_scores_gemma":[0.999476,0.00024032447,0.00007824913,0.00002017675,0.00012480075,0.000060481758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050555,0.00067738595,0.00073942816,0.00027452508,0.00029979978,0.0006817764,0.000827768,0.0007046235,0.0016174365],"category_scores_gemma":[0.0014865984,0.00035316983,0.00036771712,0.0002727635,0.00044920752,0.0006404375,0.00064824655,0.0010330904,0.00014610088],"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":[0.000041793097,0.00003899128,0.0009940747,0.000018799828,0.000014448088,0.000044940018,0.000013020671,0.98463506,0.00037095818,0.001170231,0.00047669513,0.0121809365],"study_design_scores_gemma":[0.0000030813815,0.000006801592,0.000051051167,7.768516e-7,0.0000017860219,0.0000020406585,0.0000015296482,0.9995974,0.000051334475,0.00024551974,0.00003795773,7.347204e-7],"about_ca_topic_score_codex":0.019311106,"about_ca_topic_score_gemma":0.014057209,"teacher_disagreement_score":0.019311106,"about_ca_system_score_codex":0.0010630003,"about_ca_system_score_gemma":0.0014578666,"threshold_uncertainty_score":0.03839737},"labels":[],"label_agreement":null},{"id":"W4385128151","doi":"10.1016/j.jup.2023.101638","title":"Regulatory analysis of E-mobility for Brazil: A comparative review and outlook","year":2023,"lang":"en","type":"review","venue":"Utilities Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Renewable energy; Quarter (Canadian coin); Incentive; Business; Environmental economics; Flexibility (engineering); Sustainability; Electric vehicle; Personal mobility; Telecommunications; Transport engineering; Economics; Engineering; Electrical engineering; Geography; Market economy","score_opus":0.05566925003173425,"score_gpt":0.37378788746453945,"score_spread":0.3181186374328052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385128151","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025370467,0.99609584,0.00011774353,0.0013771128,0.00011509939,0.00000905263,0.0001078758,0.0000041910203,0.0019194232],"genre_scores_gemma":[0.002931233,0.9960905,0.00015471065,0.0004928315,0.000059752903,0.0000070849696,0.000057762427,0.0000020924265,0.00020397962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986507,0.0003382192,0.00021754738,0.00016833763,0.0004846231,0.00014057237],"domain_scores_gemma":[0.9950848,0.002752682,0.00091710186,0.00009862171,0.0010034919,0.00014331487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041835015,0.0007787766,0.0016064032,0.0055301148,0.00054902525,0.0022436886,0.0012847235,0.001741152,0.0048130746],"category_scores_gemma":[0.006668843,0.0003230753,0.0012036912,0.00805083,0.0011674716,0.0018755348,0.0011058247,0.0014918305,0.0005058954],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015339743,0.00009817884,0.0010324027,0.11322855,0.0003273112,0.00023515879,0.00022379235,0.0013305969,0.00154688,0.045809336,0.035177,0.80083734],"study_design_scores_gemma":[0.000023982115,0.000104011546,0.0033797328,0.06666759,0.00072577904,0.00035018552,0.00029377072,0.00019257101,0.00065929315,0.004360986,0.9232111,0.00003111877],"about_ca_topic_score_codex":0.019885285,"about_ca_topic_score_gemma":0.03677945,"teacher_disagreement_score":0.019885285,"about_ca_system_score_codex":0.004974883,"about_ca_system_score_gemma":0.01555342,"threshold_uncertainty_score":0.03953904},"labels":[],"label_agreement":null},{"id":"W4385236485","doi":"10.1109/itec55900.2023.10186983","title":"The Impacts of Battery Capacity Degradation on Optimizing BEBs Transit System Configuration","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Sizing; Component (thermodynamics); Transit (satellite); Service (business); Public transport; Degradation (telecommunications); Computer science; Reliability engineering; Transit system; Automotive engineering; Engineering; Transport engineering; Telecommunications; Power (physics); Business","score_opus":0.010599686816678321,"score_gpt":0.19285267272475468,"score_spread":0.18225298590807634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385236485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9320725,0.0013580876,0.050807934,0.00051680935,0.00006971419,0.000118977725,0.0003251504,0.00021851217,0.01451243],"genre_scores_gemma":[0.9963864,0.00015966226,0.0025762543,0.00002312148,0.0000031672605,0.000011347134,0.00005868747,0.00002173728,0.00075956975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995641,0.00014726094,0.000015673446,0.0000434092,0.00009851141,0.00013088094],"domain_scores_gemma":[0.9989254,0.00058940414,0.00012021171,0.000059642458,0.00023933554,0.00006599471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081993366,0.0008293628,0.00048157008,0.00051239075,0.00047679123,0.0011002534,0.0004911799,0.0006701956,0.0016843596],"category_scores_gemma":[0.003186437,0.00033448546,0.00040431012,0.0005708598,0.0003932182,0.0012613535,0.00057579594,0.0006482315,0.00020707358],"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":[0.00013730107,0.00003700681,0.003126174,0.000081801045,0.00002125706,0.00014902341,0.00003592283,0.98012906,0.004452693,0.0007220304,0.00037315112,0.010734563],"study_design_scores_gemma":[0.000012606163,0.00042013815,0.005355814,0.000029358662,0.00006344617,0.00013909688,0.00035603213,0.98354936,0.0076728878,0.0011695044,0.0012105174,0.000021258616],"about_ca_topic_score_codex":0.010425444,"about_ca_topic_score_gemma":0.013931007,"teacher_disagreement_score":0.010425444,"about_ca_system_score_codex":0.0012673,"about_ca_system_score_gemma":0.0010829964,"threshold_uncertainty_score":0.020729542},"labels":[],"label_agreement":null},{"id":"W4385236545","doi":"10.1109/itec55900.2023.10187038","title":"Light-Commercial Electric Vehicle Design: Total Cost of Ownership Assessment","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Total cost of ownership; Automotive engineering; Powertrain; Internal combustion engine; Electric vehicle; Automotive industry; Battery electric vehicle; Propulsion; Internal rate of return; Return on investment; Diesel fuel; Electricity; Operating cost; Sizing; Computer science; Engineering; Economics; Production (economics); Electrical engineering","score_opus":0.017528880513120383,"score_gpt":0.2443379313017787,"score_spread":0.22680905078865832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385236545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80587065,0.0021252006,0.14537457,0.00024742624,0.00004434831,0.00043904307,0.0014461972,0.00020661966,0.044245873],"genre_scores_gemma":[0.9816751,0.00039389604,0.013381358,0.000012602147,0.0000052169657,0.000102652746,0.00051564083,0.000027371128,0.0038860023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941885,0.00010977282,0.00002303952,0.000046613466,0.00034514337,0.0000566081],"domain_scores_gemma":[0.9992292,0.00029294423,0.00009378896,0.00005386145,0.00030986493,0.000020394566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008782734,0.0007039091,0.00042676425,0.001168226,0.0001765649,0.0008437009,0.00058082753,0.0005066852,0.0036421397],"category_scores_gemma":[0.0017631986,0.00020922674,0.00066586316,0.00076432916,0.00020230739,0.0010661468,0.00034341638,0.0002617153,0.00031253058],"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":[0.00015869859,0.000112078094,0.013152988,0.00023871967,0.000076133736,0.00010512609,0.00002866903,0.90388745,0.0042602434,0.004190396,0.00089992076,0.072889596],"study_design_scores_gemma":[0.000012464941,0.0004311332,0.012784799,0.000036265625,0.000066805376,0.00016027657,0.000095723124,0.9758021,0.0059076124,0.0016125158,0.0030702264,0.000020015272],"about_ca_topic_score_codex":0.0053411988,"about_ca_topic_score_gemma":0.006801676,"teacher_disagreement_score":0.0053411988,"about_ca_system_score_codex":0.001793833,"about_ca_system_score_gemma":0.0009191893,"threshold_uncertainty_score":0.013015211},"labels":[],"label_agreement":null},{"id":"W4385286194","doi":"10.1016/j.segan.2023.101114","title":"Effective self-committed V2G for residential complexes","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electricity; Revenue; Restructuring; Incentive; Vehicle-to-grid; Electricity market; Scheduling (production processes); Environmental economics; Computer science; Business; Operations research; Electric vehicle; Economics; Finance; Microeconomics; Operations management; Engineering; Electrical engineering","score_opus":0.0021980207419063295,"score_gpt":0.18669971974702362,"score_spread":0.1845016990051173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385286194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1822595,0.00078665244,0.6337494,0.0018954871,0.00047521683,0.0002734308,0.00022626937,0.0019292369,0.1784047],"genre_scores_gemma":[0.9797704,0.00007900616,0.009647598,0.00011308987,0.000024521296,0.000027271191,0.00006987626,0.0000612993,0.010206943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994049,0.00020623932,0.000016029548,0.00009334792,0.0001367299,0.00014266555],"domain_scores_gemma":[0.9993686,0.00013906702,0.00003537955,0.00022052074,0.00013900484,0.00009743802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142032,0.0004284318,0.00039115944,0.0002546114,0.0009514771,0.0016146954,0.0013188475,0.00080555875,0.008904892],"category_scores_gemma":[0.0019307174,0.00015020547,0.00019973103,0.0003009418,0.00077331415,0.0020706712,0.0025502392,0.0006352654,0.0013320873],"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":[0.0003947756,0.00034461915,0.00269641,0.00017159883,0.00005482785,0.0008165906,0.0009488041,0.19697346,0.0083116,0.4980255,0.03519088,0.25607097],"study_design_scores_gemma":[0.00005479324,0.00018693387,0.0009201216,0.00006604047,0.00002178604,0.00045522358,0.0010746504,0.69270843,0.0053259213,0.25063944,0.048513707,0.00003287411],"about_ca_topic_score_codex":0.003037848,"about_ca_topic_score_gemma":0.004456604,"teacher_disagreement_score":0.008904892,"about_ca_system_score_codex":0.0006869049,"about_ca_system_score_gemma":0.00085222756,"threshold_uncertainty_score":0.029789865},"labels":[],"label_agreement":null},{"id":"W4385349628","doi":"10.1145/3609508","title":"Investigating the Security of EV Charging Mobile Applications as an Attack Surface","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Exploit; Attack surface; Flexibility (engineering); Computer science; Leverage (statistics); Computer security; Mobile device; Authorization; Cloud computing; Operating system","score_opus":0.013415914619690902,"score_gpt":0.2580191211729602,"score_spread":0.2446032065532693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385349628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675207,0.00028585934,0.028557248,0.0002145083,0.00001934694,0.000110468914,0.000084244864,0.0003548499,0.0028526618],"genre_scores_gemma":[0.9959479,0.00009702183,0.0035492429,0.000026076987,0.0000039238307,0.000023841867,0.000045561468,0.000021171609,0.00028534938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981324,0.00052342395,0.00008769527,0.0002227067,0.00071262545,0.00032121403],"domain_scores_gemma":[0.9957711,0.0020798028,0.00073374156,0.00074522954,0.0005585676,0.00011147405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012176352,0.00063472585,0.00039028152,0.001281836,0.00050885644,0.0011970019,0.0005775837,0.00072751497,0.00053212885],"category_scores_gemma":[0.0047509973,0.0002714068,0.0005886054,0.00058679725,0.0010759388,0.0025147675,0.0010940598,0.0010892734,0.00014640477],"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":[0.0009320722,0.0006894573,0.20036213,0.00070179056,0.00056746835,0.003450008,0.0021300113,0.48817542,0.1487347,0.03639187,0.0022637402,0.11560131],"study_design_scores_gemma":[0.000015323705,0.00049372145,0.025965808,0.000046959456,0.00011053057,0.0008078546,0.0006455374,0.93095267,0.03399108,0.0047255335,0.0022009907,0.000043946027],"about_ca_topic_score_codex":0.001853677,"about_ca_topic_score_gemma":0.0012165711,"teacher_disagreement_score":0.001853677,"about_ca_system_score_codex":0.0007024799,"about_ca_system_score_gemma":0.0006610602,"threshold_uncertainty_score":0.0064395666},"labels":[],"label_agreement":null},{"id":"W4385387456","doi":"10.32388/zavs0g","title":"Review of: \"Blockchain EV Payment Systems: A Systematic Literature Review in Retail Energy Trading\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Chicoutimi","funders":"","keywords":"Blockchain; Payment; Business; Payment system; Energy (signal processing); Commerce; Computer science; Computer security; Finance; Mathematics; Statistics","score_opus":0.01383828118412499,"score_gpt":0.23722055121934843,"score_spread":0.22338227003522343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385387456","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021508974,0.96114683,0.0022392056,0.014237961,0.0076318746,0.0065680044,0.0030147885,0.00010933344,0.0029010114],"genre_scores_gemma":[0.015146132,0.9576998,0.003087619,0.010102651,0.0017442021,0.009075108,0.0015332943,0.00006250584,0.0015487444],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.96280885,0.015061155,0.012465917,0.0016487289,0.0072304923,0.0007847787],"domain_scores_gemma":[0.85730267,0.083319694,0.02489215,0.0032469076,0.029199785,0.0020387552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033493787,0.002072694,0.0067642033,0.02543898,0.0021843319,0.005608693,0.0031123133,0.0038644667,0.0151168145],"category_scores_gemma":[0.18786009,0.0014577147,0.0047780923,0.020668823,0.0023175923,0.006924587,0.005023926,0.0024303994,0.0021861284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011374008,0.000024984,0.0003906042,0.89299476,0.0010460111,0.00017547126,0.0008685199,0.00012043883,0.000219195,0.0012909814,0.035228916,0.06752643],"study_design_scores_gemma":[0.00006609506,0.00006320292,0.0009060345,0.9369865,0.00290996,0.0001650571,0.0005678843,0.000047032838,0.000113474,0.00049374724,0.05764967,0.00003125041],"about_ca_topic_score_codex":0.005836643,"about_ca_topic_score_gemma":0.018159224,"teacher_disagreement_score":0.033493787,"about_ca_system_score_codex":0.008690195,"about_ca_system_score_gemma":0.052572433,"threshold_uncertainty_score":0.17713422},"labels":[],"label_agreement":null},{"id":"W4385445492","doi":"10.3390/infrastructures8080121","title":"Electrification of Transport Service Applied to Massawa–Asmara","year":2023,"lang":"en","type":"article","venue":"Infrastructures","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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":"Electrification; Public transport; Service (business); Business; Environmental economics; Transport engineering; Sustainable transport; Electricity; Photovoltaic system; Electric vehicle; Engineering; Power (physics); Sustainability; Economics; Marketing","score_opus":0.005523218647491465,"score_gpt":0.19849435049024058,"score_spread":0.1929711318427491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385445492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530407,0.00023444001,0.010545778,0.00041219968,0.000058114587,0.00021108911,0.00046623827,0.00016801138,0.034863327],"genre_scores_gemma":[0.99348044,0.00016452927,0.0029676862,0.000016575603,0.0000033149627,0.000053020085,0.00016528982,0.000009246166,0.003139888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996834,0.0001237249,0.000009538083,0.000038347527,0.00004704656,0.0000979229],"domain_scores_gemma":[0.9997695,0.000077762816,0.000025326339,0.000020671248,0.00006989479,0.000036842506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881355,0.00080368295,0.00037236337,0.0005027561,0.0009949574,0.0012819325,0.00071712915,0.00090868707,0.0034914813],"category_scores_gemma":[0.00063996343,0.00022122668,0.000737137,0.00088301185,0.0007213734,0.0008099152,0.0008820145,0.0005972007,0.00028889056],"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":[0.00044071575,0.0002186156,0.012207408,0.00033215582,0.00007544641,0.0022685498,0.0005402647,0.9443791,0.0067036236,0.011757672,0.0013502921,0.019726153],"study_design_scores_gemma":[0.00008939847,0.0010125958,0.014214081,0.000094131756,0.00011178944,0.0003501614,0.0034972504,0.9557356,0.0071356934,0.0038935235,0.013795843,0.0000698959],"about_ca_topic_score_codex":0.12438134,"about_ca_topic_score_gemma":0.10584172,"teacher_disagreement_score":0.12438134,"about_ca_system_score_codex":0.0029975793,"about_ca_system_score_gemma":0.002081437,"threshold_uncertainty_score":0.24731469},"labels":[],"label_agreement":null},{"id":"W4385487717","doi":"10.1109/ecai58194.2023.10194085","title":"Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Renewable energy; Reliability (semiconductor); Computer science; Electric power system; Benchmark (surveying); Probabilistic logic; Reliability engineering; Mathematical optimization; Power system simulation; Photovoltaic system; Solar power; Optimization problem; Power (physics); Engineering; Electrical engineering; Algorithm; Mathematics","score_opus":0.005734691500620279,"score_gpt":0.18254737695754486,"score_spread":0.17681268545692458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385487717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09895634,0.00048825,0.8784568,0.00049872726,0.00007543505,0.00026949611,0.0003351919,0.00035358744,0.020566085],"genre_scores_gemma":[0.9344684,0.00016235611,0.061689742,0.00006477639,0.000024654155,0.00021354968,0.00020981989,0.00007285812,0.0030938475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963784,0.00015023808,0.000016230755,0.00006729207,0.00007273524,0.00005577017],"domain_scores_gemma":[0.9993519,0.00043888149,0.00006672104,0.00003472552,0.00007262032,0.000035065423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007370485,0.0010603429,0.0010163661,0.00045133798,0.00031239624,0.0011863897,0.00088722486,0.0007432048,0.0042266357],"category_scores_gemma":[0.0018390223,0.0005884949,0.0005097346,0.0007247059,0.0004933806,0.0008855703,0.00062536873,0.0010324583,0.00028761537],"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":[0.000025635312,0.000008054025,0.00011219994,0.000026235955,0.000012685536,0.000023330113,0.000008536507,0.99217176,0.0002849724,0.0020088532,0.00022539732,0.005092311],"study_design_scores_gemma":[0.0000063054845,0.00001737636,0.00004814474,0.0000033078081,0.0000037600955,0.000006071818,0.00000675304,0.9980944,0.00019200772,0.0014654506,0.00015444285,0.0000018747741],"about_ca_topic_score_codex":0.0059101363,"about_ca_topic_score_gemma":0.005016571,"teacher_disagreement_score":0.0059101363,"about_ca_system_score_codex":0.0008447514,"about_ca_system_score_gemma":0.0012817255,"threshold_uncertainty_score":0.014139473},"labels":[],"label_agreement":null},{"id":"W4385520976","doi":"10.2172/1993274","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (First Quarter 2023)","year":2023,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electricity; Renewable energy; Transport engineering; Electric vehicle; Business; Environmental economics; Telecommunications; Engineering; Electrical engineering; Economics; Geography","score_opus":0.014979769386277864,"score_gpt":0.24622193529614375,"score_spread":0.23124216590986588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385520976","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06444995,0.002108285,0.0019798735,0.0023005295,0.00050424767,0.00010746799,0.8564576,0.0012475657,0.07084451],"genre_scores_gemma":[0.16353154,0.006793917,0.005396611,0.0009717268,0.00022056315,0.00037699033,0.7816673,0.00044851613,0.040592726],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993912,0.000025845495,0.000043760618,0.000059615042,0.000369078,0.000110561006],"domain_scores_gemma":[0.99808717,0.000095479576,0.0003628957,0.000069271286,0.0012570444,0.000128169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006389241,0.00047772407,0.00022354166,0.0024581219,0.00035641534,0.001438566,0.00037965665,0.00040848236,0.0068397536],"category_scores_gemma":[0.0017887742,0.00024750765,0.0006342681,0.0061209677,0.000081342434,0.0011734437,0.0007352431,0.0008055335,0.0059357462],"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":[0.00011430778,0.00008147098,0.07808239,0.0005243253,0.000052317846,0.00014620161,0.00031233192,0.001751964,0.0006282266,0.0018620647,0.838143,0.078301385],"study_design_scores_gemma":[0.000017503424,0.00008911813,0.38617787,0.00040411952,0.00006604905,0.00035023346,0.0009893959,0.0022586111,0.0031310301,0.0005673227,0.6059049,0.000043938773],"about_ca_topic_score_codex":0.116982654,"about_ca_topic_score_gemma":0.12078612,"teacher_disagreement_score":0.116982654,"about_ca_system_score_codex":0.0019100977,"about_ca_system_score_gemma":0.0023187182,"threshold_uncertainty_score":0.23260343},"labels":[],"label_agreement":null},{"id":"W4385541820","doi":"10.1109/eeeic/icpseurope57605.2023.10194877","title":"Green Mobility Application in Malaga: Analysis of the Transition from ICE to EV","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Carbon footprint; Renewable energy; Electricity; Fossil fuel; Service (business); Environmental economics; Order (exchange); Internal combustion engine; Work (physics); Process (computing); Environmental science; Automotive engineering; Greenhouse gas; Computer science; Business; Engineering; Finance; Electrical engineering; Waste management; Economics; Mechanical engineering; Marketing","score_opus":0.0042336232358784875,"score_gpt":0.1968136135435853,"score_spread":0.1925799903077068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385541820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97833997,0.00030034967,0.0020457415,0.00039543168,0.000027574635,0.000047905356,0.0013572712,0.0000758708,0.017409898],"genre_scores_gemma":[0.9947562,0.00021319864,0.0007095421,0.000031754495,0.000008173385,0.000022864795,0.00068327616,0.000028248985,0.0035467225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99988973,0.000027641594,0.0000034032328,0.000015344101,0.000014092172,0.00004970863],"domain_scores_gemma":[0.9998067,0.00008659579,0.0000146361235,0.000011762956,0.00005726275,0.000023148228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018501394,0.00045981666,0.00030862333,0.00068348023,0.00049272453,0.0012682194,0.00050898985,0.00083208823,0.003422174],"category_scores_gemma":[0.00064945396,0.0001124253,0.00060806813,0.0007474017,0.00037539477,0.0004950681,0.00056108873,0.0003761736,0.00036245908],"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":[0.0003877094,0.0002463606,0.056873422,0.00019451982,0.00008463584,0.00207603,0.00041416768,0.91212934,0.0025192802,0.007911132,0.0039187353,0.0132447295],"study_design_scores_gemma":[0.000045665627,0.00013462461,0.055811916,0.00006333131,0.000055392065,0.00010551521,0.0021045161,0.9319078,0.0014275328,0.0015708008,0.0067455936,0.0000273398],"about_ca_topic_score_codex":0.17910266,"about_ca_topic_score_gemma":0.1152715,"teacher_disagreement_score":0.17910266,"about_ca_system_score_codex":0.0021581405,"about_ca_system_score_gemma":0.0006595706,"threshold_uncertainty_score":0.35612035},"labels":[],"label_agreement":null},{"id":"W4385624308","doi":"10.1109/eurocon56442.2023.10199024","title":"ANN Based Energy Management System for V2X - EV aggregator in cold climate application","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"News aggregator; Energy management; Energy management system; Energy consumption; Mean squared error; Computer science; Automotive engineering; Electric vehicle; Power demand; Artificial neural network; Energy (signal processing); Environmental science; Simulation; Power (physics); Real-time computing; Power consumption; Engineering; Electrical engineering; Artificial intelligence; Statistics; Mathematics","score_opus":0.0036967366490889123,"score_gpt":0.18566923806212754,"score_spread":0.18197250141303864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385624308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3521149,0.00083603355,0.59389997,0.0007328975,0.00043938158,0.0003193513,0.0012375168,0.018143058,0.032277],"genre_scores_gemma":[0.9642647,0.00011927786,0.02810266,0.00008909123,0.000027654474,0.00013699003,0.00048547573,0.000060740276,0.0067133796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998908,0.000015733869,0.00001025116,0.00003821991,0.000026045152,0.000018849518],"domain_scores_gemma":[0.9998652,0.000029209163,0.000016095564,0.000014856196,0.000063179585,0.000011443535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002883578,0.00065930537,0.0003995773,0.00033189412,0.0004164987,0.00058707385,0.0006498174,0.00044974437,0.00416502],"category_scores_gemma":[0.00037563263,0.00025334326,0.00029518752,0.00021470814,0.00010787949,0.00046662163,0.00033783785,0.00044570208,0.0008745164],"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":[0.00044420583,0.0003543244,0.0069307624,0.00016161984,0.00012222648,0.00034396662,0.00009189363,0.79826707,0.01611112,0.00097315153,0.0065267785,0.16967295],"study_design_scores_gemma":[0.000008771144,0.000045580255,0.0010534382,0.000005897964,0.000011911964,0.000013464212,0.000009496431,0.99516875,0.0026231017,0.0002542367,0.0007986835,0.0000065203494],"about_ca_topic_score_codex":0.009243728,"about_ca_topic_score_gemma":0.0128374165,"teacher_disagreement_score":0.009243728,"about_ca_system_score_codex":0.0005002963,"about_ca_system_score_gemma":0.00041398781,"threshold_uncertainty_score":0.018379867},"labels":[],"label_agreement":null},{"id":"W4385642302","doi":"10.23977/jeeem.2023.060403","title":"The Impact of Charging Infrastructure on the Promotion of New Energy Vehicles","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lagging; Promotion (chess); New energy; Context (archaeology); China; Business; Environmental economics; Transport engineering; Energy (signal processing); Engineering; Economics","score_opus":0.004127500234320014,"score_gpt":0.19638542298286188,"score_spread":0.19225792274854187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385642302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85659534,0.005763745,0.0024834836,0.0059311055,0.00015569014,0.00006625064,0.00024257526,0.00006514134,0.12869667],"genre_scores_gemma":[0.9949314,0.0019091788,0.00025229665,0.00010267781,0.000026421068,0.000005754517,0.00004323983,0.0000037336167,0.0027252147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993111,0.0001537745,0.000021355147,0.00004859748,0.00019518386,0.00027009557],"domain_scores_gemma":[0.998483,0.00042183293,0.0003207889,0.000046286666,0.00047866374,0.00024952035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066093105,0.00018796205,0.000111633606,0.0009614763,0.00066815066,0.0018546521,0.00042215057,0.00040704137,0.0052898778],"category_scores_gemma":[0.0021065762,0.00010789481,0.0002489302,0.0010618824,0.00067353225,0.0017412356,0.0011013588,0.00042106985,0.00028961556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003391655,0.00035253572,0.4219951,0.0012835047,0.000112679016,0.0033223182,0.0056232396,0.014768554,0.0072197355,0.17745848,0.012919286,0.3546053],"study_design_scores_gemma":[0.000028396216,0.0005092922,0.8011115,0.00076906214,0.00022759855,0.00062742207,0.017351296,0.018483862,0.0060864543,0.01739965,0.13731083,0.000094577714],"about_ca_topic_score_codex":0.024020145,"about_ca_topic_score_gemma":0.03550918,"teacher_disagreement_score":0.024020145,"about_ca_system_score_codex":0.002408419,"about_ca_system_score_gemma":0.0028205372,"threshold_uncertainty_score":0.047760665},"labels":[],"label_agreement":null},{"id":"W4385743195","doi":"10.2139/ssrn.4537082","title":"Allocate Electric Vehicles’ Public Charging Stations with Charging Demand Uncertainty","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","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":"Université du Québec à Montréal","funders":"","keywords":"Electric vehicle; Charging station; Electric cars; Business; Automotive engineering; Environmental economics; Electrical engineering; Environmental science; Economics; Engineering; Physics; Power (physics)","score_opus":0.011246303541765071,"score_gpt":0.21901151240115693,"score_spread":0.20776520885939187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385743195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44258744,0.000420681,0.51630837,0.002257273,0.00020218441,0.0002272415,0.00066227774,0.00076414034,0.036570426],"genre_scores_gemma":[0.9890988,0.00004966087,0.0067869504,0.000039330345,0.0000348305,0.00002877785,0.000079955935,0.000045499375,0.003836227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888235,0.00034901904,0.00003462648,0.00023509926,0.000120904864,0.00037797552],"domain_scores_gemma":[0.9979367,0.001268996,0.00018868553,0.00021864891,0.00022812188,0.00015875783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018945183,0.0007223464,0.0012569885,0.0005975691,0.0005097849,0.0023259404,0.0012470887,0.001971374,0.010593774],"category_scores_gemma":[0.006703847,0.0008316173,0.0005966304,0.0014693198,0.0005722904,0.0024557633,0.0013968346,0.001207437,0.00083705486],"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":[0.00064583257,0.00008060529,0.0013603934,0.00004306671,0.000056500907,0.00007395022,0.0000586232,0.9503914,0.001073036,0.017877525,0.0016686496,0.026670381],"study_design_scores_gemma":[0.000034534773,0.00006738008,0.0007141067,0.0000050997514,0.000022250892,0.000021877091,0.0000953714,0.9756049,0.0007873899,0.021340484,0.0012968822,0.000009667646],"about_ca_topic_score_codex":0.0034073666,"about_ca_topic_score_gemma":0.0028878641,"teacher_disagreement_score":0.010593774,"about_ca_system_score_codex":0.0023629519,"about_ca_system_score_gemma":0.0014926739,"threshold_uncertainty_score":0.03543967},"labels":[],"label_agreement":null},{"id":"W4385758930","doi":"10.3390/jrfm16080368","title":"Selected Problems of the Automotive Industry—Material and Economic Risk","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Diversification (marketing strategy); Purchasing; Zero emission; Flexibility (engineering); Production (economics); Electric vehicle; Carbon footprint; Industrial organization; Business; China; Electric power; Commerce; Engineering; Greenhouse gas; Economics; Power (physics); Marketing","score_opus":0.0027732584912545963,"score_gpt":0.16519229521653583,"score_spread":0.16241903672528124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385758930","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012994108,0.7728268,0.022323359,0.03357872,0.003381395,0.00008753749,0.00016159895,0.00004660694,0.1546],"genre_scores_gemma":[0.1851591,0.73201,0.008757478,0.0033512944,0.013863048,0.0001219018,0.0001888421,0.00004681897,0.056501534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998762,0.00042814316,0.00008184717,0.0001141844,0.0005101949,0.00010374057],"domain_scores_gemma":[0.99878055,0.0006648821,0.00020559572,0.00005566307,0.00024829753,0.00004506985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012700773,0.0009155575,0.00052460557,0.0031989554,0.0011722494,0.0032828068,0.0007621729,0.0024255475,0.006049148],"category_scores_gemma":[0.002193738,0.00022447543,0.00065599295,0.0023855881,0.0025763249,0.0032077895,0.0011388822,0.0016763007,0.0011589625],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033256147,0.000096126554,0.0018462681,0.0013165327,0.00006926972,0.0008589388,0.0006412751,0.0064927186,0.00052596664,0.81815,0.04732339,0.122646175],"study_design_scores_gemma":[0.000006477866,0.00008613793,0.0022015842,0.0015709086,0.000024650988,0.0014410747,0.000837871,0.002123648,0.00043115,0.40721217,0.5840237,0.00004065443],"about_ca_topic_score_codex":0.0013302065,"about_ca_topic_score_gemma":0.0009454412,"teacher_disagreement_score":0.006049148,"about_ca_system_score_codex":0.0022256665,"about_ca_system_score_gemma":0.0015863179,"threshold_uncertainty_score":0.020236433},"labels":[],"label_agreement":null},{"id":"W4385819896","doi":"10.1109/tte.2023.3305235","title":"Vehicle-to-Grid Fleet Service Provision Considering Nonlinear Battery Behaviors","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"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":"First Quantum Minerals; National Science Foundation","keywords":"Grid; Vehicle-to-grid; Battery (electricity); Computer science; Electricity; Nonlinear system; Electric vehicle; Automotive engineering; Mathematical optimization; Smart grid; State of charge; Power (physics); Electrical engineering; Engineering; Mathematics","score_opus":0.010837397573478135,"score_gpt":0.2266417094144143,"score_spread":0.21580431184093618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385819896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42893186,0.0002655778,0.5592473,0.0005956463,0.000064611275,0.00009713576,0.00056033285,0.00046553314,0.009771949],"genre_scores_gemma":[0.9923006,0.000050150415,0.006458254,0.00001599245,0.000006331416,0.000014496128,0.00012589934,0.000018745686,0.0010095551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998055,0.000059800477,0.000007640662,0.000042605217,0.000027446835,0.000057108613],"domain_scores_gemma":[0.9996419,0.0001856301,0.000045175617,0.000031582265,0.0000569696,0.00003876063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041326566,0.0006034382,0.0004575562,0.00036362093,0.00032275022,0.0007433203,0.0007561089,0.0006302197,0.0018120136],"category_scores_gemma":[0.0019565923,0.00030703298,0.00032398585,0.0005970018,0.00030257966,0.0010587712,0.0006905674,0.00057932205,0.000251494],"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":[0.000016851023,0.0000064077462,0.00047751804,0.000006893127,0.000004592097,0.000030185105,0.0000066139123,0.9948304,0.00017948182,0.0010223163,0.00022742222,0.003191304],"study_design_scores_gemma":[0.0000011941568,0.0000026964533,0.0000886522,3.6242054e-7,7.309549e-7,0.0000031987145,0.0000060208913,0.9992993,0.000032791624,0.00050742156,0.0000568189,7.840371e-7],"about_ca_topic_score_codex":0.032481465,"about_ca_topic_score_gemma":0.028300783,"teacher_disagreement_score":0.032481465,"about_ca_system_score_codex":0.0011302276,"about_ca_system_score_gemma":0.00087149604,"threshold_uncertainty_score":0.06458479},"labels":[],"label_agreement":null},{"id":"W4385976946","doi":"10.1016/j.est.2023.108565","title":"Multi-period planning of locations and capacities of public charging stations","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Charging station; Beijing; Randomness; Queueing theory; Electric vehicle; Computer science; Operations research; Simulation; Environmental science; Engineering; Geography; Mathematics; Statistics; Power (physics)","score_opus":0.020033381758240654,"score_gpt":0.2301695498378462,"score_spread":0.21013616807960556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385976946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6601838,0.0011311561,0.30426058,0.0010506156,0.00019837276,0.0005585572,0.0038900056,0.0005622961,0.028164627],"genre_scores_gemma":[0.9826393,0.00014710659,0.0135988705,0.0000186069,0.0000111020845,0.00010077719,0.00030507133,0.000027448985,0.0031517257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993469,0.00027104272,0.00002349753,0.00011035165,0.00006059408,0.0001875697],"domain_scores_gemma":[0.99813277,0.0011238644,0.00024862087,0.00006583853,0.00018185504,0.00024721833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016147816,0.00085464556,0.0011959352,0.0012639042,0.0007139872,0.0017654804,0.0014390971,0.0012749966,0.0075076916],"category_scores_gemma":[0.0034527718,0.0015990052,0.0010060574,0.0018225436,0.00056796765,0.0017624971,0.00068862544,0.0008830426,0.00043848675],"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":[0.000122053454,0.000022073737,0.00064104644,0.00003416781,0.00003481922,0.00006417557,0.000024586501,0.9933624,0.00028066177,0.0015024218,0.00038125215,0.003530355],"study_design_scores_gemma":[0.000029607916,0.00008504872,0.0013009283,0.0000139202275,0.00003455352,0.000023288329,0.00009979273,0.9952122,0.00035894354,0.0022720962,0.0005535701,0.000015921614],"about_ca_topic_score_codex":0.018345432,"about_ca_topic_score_gemma":0.032278806,"teacher_disagreement_score":0.018345432,"about_ca_system_score_codex":0.0024980176,"about_ca_system_score_gemma":0.0022101537,"threshold_uncertainty_score":0.036477327},"labels":[],"label_agreement":null},{"id":"W4386002132","doi":"10.1155/2023/9930694","title":"A Three-Step Heuristic Approach to the Electric Vehicle Path Planning Problem considering Charging","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Shortest path problem; Electric vehicle; Energy consumption; Heuristic; Motion planning; Mathematical optimization; Constraint (computer-aided design); Computer science; Driving range; Any-angle path planning; Path (computing); Graph; Operations research; Engineering; Mathematics; Artificial intelligence","score_opus":0.009197302309808236,"score_gpt":0.21448566279307135,"score_spread":0.20528836048326313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386002132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011131275,0.00014887558,0.9852078,0.00018792466,0.000039538572,0.00024773736,0.00008674764,0.00021514171,0.0027349542],"genre_scores_gemma":[0.28814077,0.00041156643,0.7074984,0.00012630406,0.000035194495,0.0006097533,0.00029067285,0.00008352401,0.0028039091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944943,0.00019243312,0.000025375422,0.00012346778,0.000101092475,0.000108238266],"domain_scores_gemma":[0.99936825,0.00039322537,0.00006439422,0.00003129083,0.000089436035,0.00005334595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000824864,0.0012930115,0.0011195553,0.0012761749,0.0009421289,0.0010631608,0.0017149919,0.0012384716,0.0033606552],"category_scores_gemma":[0.0014163583,0.0008061708,0.0013898523,0.0015970097,0.0007276068,0.0011299057,0.0010103375,0.0013456836,0.00032087194],"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":[0.000047172547,0.000068672256,0.00023184027,0.00011818296,0.000037132668,0.000113819544,0.000079167105,0.9640902,0.0011788846,0.009514335,0.0009521499,0.02356831],"study_design_scores_gemma":[0.000025402605,0.0000654575,0.00006224532,0.000007638593,0.000013386628,0.00004063198,0.00004741005,0.99289775,0.00047468478,0.0054263826,0.00092573254,0.00001318384],"about_ca_topic_score_codex":0.010098602,"about_ca_topic_score_gemma":0.010462642,"teacher_disagreement_score":0.010098602,"about_ca_system_score_codex":0.0012664371,"about_ca_system_score_gemma":0.0035071496,"threshold_uncertainty_score":0.020079672},"labels":[],"label_agreement":null},{"id":"W4386052309","doi":"10.56397/sssh.2023.08.05","title":"A Critical Review on Electric Vehicle Batteries — Based on Life Cycle Assessment Method","year":2023,"lang":"en","type":"review","venue":"Studies in Social Science & Humanities","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lithium (medication); Life-cycle assessment; Environmental science; Pollutant; Waste management; Environmental pollution; Environmental impact assessment; Environmental engineering; Environmental protection; Engineering; Production (economics); Chemistry","score_opus":0.1162915467640074,"score_gpt":0.43592847426320486,"score_spread":0.3196369274991975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386052309","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009065371,0.9983777,0.0002759602,0.000194869,0.00017825062,0.000017220475,0.000033763612,0.0000047943095,0.0008266995],"genre_scores_gemma":[0.0008605401,0.9982274,0.0003948724,0.00014620637,0.0000998291,0.000020606616,0.00003804481,0.0000017512283,0.00021075291],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884003,0.00026513927,0.00028004235,0.00015574074,0.00041027818,0.00004873596],"domain_scores_gemma":[0.99672335,0.002072937,0.00030197337,0.00007112933,0.00077245856,0.00005825834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020620064,0.0013079857,0.002028636,0.0066450997,0.0005102696,0.0018155668,0.0014556755,0.0013494677,0.005077789],"category_scores_gemma":[0.0039193984,0.0006587034,0.0017430643,0.0081821615,0.0006948837,0.0026714187,0.00076230767,0.0013882727,0.0013300627],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007871266,0.00008889939,0.00034375818,0.18514642,0.0003525212,0.00028524117,0.00021177642,0.0009014517,0.0014577484,0.010932071,0.03179654,0.76840484],"study_design_scores_gemma":[0.000013213971,0.00013345842,0.0009235887,0.041832116,0.0006822041,0.00068671326,0.00014376148,0.0002301238,0.00081357075,0.0030799888,0.9514189,0.000042259067],"about_ca_topic_score_codex":0.0031306262,"about_ca_topic_score_gemma":0.0041136,"teacher_disagreement_score":0.0066450997,"about_ca_system_score_codex":0.0015932249,"about_ca_system_score_gemma":0.0034674036,"threshold_uncertainty_score":0.016986847},"labels":[],"label_agreement":null},{"id":"W4386078221","doi":"10.1109/tste.2023.3307633","title":"Optimal Design of V2G Incentives and V2G-Capable Electric Vehicles Parking Lots Considering Cost-Benefit Financial Analysis and User Participation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Revenue; Vehicle-to-grid; Electric vehicle; Grid; Incentive; Profit (economics); Profit maximization; Computer science; Transport engineering; Finance; Engineering; Business; Power (physics); Economics","score_opus":0.00883708406185952,"score_gpt":0.21253807889192008,"score_spread":0.20370099483006057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386078221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16056569,0.00081509753,0.79390144,0.0016747267,0.00012271629,0.00057791243,0.0005411219,0.0002775162,0.04152377],"genre_scores_gemma":[0.9694314,0.00028850982,0.02335368,0.00008304623,0.000016106756,0.0002147592,0.00007651956,0.000037801405,0.0064982357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990037,0.00040248747,0.00002537025,0.00017681275,0.00012498553,0.00026662333],"domain_scores_gemma":[0.9984693,0.0008964224,0.00020742358,0.00003831502,0.00017986659,0.00020863376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015711496,0.0014242396,0.0015346966,0.0007385158,0.0005510671,0.0022903515,0.0015827625,0.0027740903,0.0067731603],"category_scores_gemma":[0.003974189,0.0014445832,0.0009653134,0.0006221039,0.0012170189,0.0016584252,0.0016647982,0.0015736417,0.0004392465],"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":[0.000055845616,0.00003834894,0.00027854537,0.000040656883,0.000013207642,0.00007749425,0.000018656481,0.9864001,0.00042980164,0.009760407,0.0003757878,0.0025110822],"study_design_scores_gemma":[0.00001775639,0.00003851901,0.0001068281,0.000008441474,0.000007867045,0.000013015518,0.000028848059,0.995665,0.00013633155,0.0035697857,0.00040078652,0.0000068234394],"about_ca_topic_score_codex":0.007659928,"about_ca_topic_score_gemma":0.005926455,"teacher_disagreement_score":0.007659928,"about_ca_system_score_codex":0.0025632423,"about_ca_system_score_gemma":0.0031436367,"threshold_uncertainty_score":0.022658527},"labels":[],"label_agreement":null},{"id":"W4386144579","doi":"10.2139/ssrn.4550883","title":"Optimal Subsidy Decisions for Building Electric Vehicle Charging Piles: Unit Subsidy vs Percentage Subsidy","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Subsidy; Unit (ring theory); Electric vehicle; Business; Economics; Automotive engineering; Environmental science; Engineering; Mathematics; Physics; Market economy","score_opus":0.017091178319768648,"score_gpt":0.25638852523284633,"score_spread":0.2392973469130777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386144579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7695859,0.0007551509,0.17868531,0.0031118728,0.00021957775,0.00074186194,0.0010226687,0.00061586796,0.045261834],"genre_scores_gemma":[0.99335396,0.00006153931,0.0042689485,0.000042464453,0.000013474117,0.00003727422,0.000049208775,0.000022252616,0.0021508336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903893,0.00034031106,0.00003109012,0.00013825984,0.00008217375,0.00036920694],"domain_scores_gemma":[0.9982028,0.0011639511,0.00017381126,0.00009497567,0.0001356233,0.00022876666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015170209,0.0006346859,0.0019679319,0.00069441134,0.00051791605,0.0021387597,0.0010623857,0.0029581995,0.012279086],"category_scores_gemma":[0.0057595964,0.0011137102,0.0008629469,0.00064851943,0.0008028116,0.001987429,0.0011123996,0.0016694472,0.0008040246],"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":[0.0012886435,0.00028954123,0.0018761243,0.0002077432,0.00006577853,0.00019245526,0.00006218136,0.9490683,0.0034707757,0.012122616,0.0031183437,0.02823758],"study_design_scores_gemma":[0.00027440974,0.00043360144,0.005912104,0.00006498487,0.00009217427,0.00007715409,0.0003561117,0.9720729,0.0021979313,0.01708848,0.0013871872,0.000042867225],"about_ca_topic_score_codex":0.006279833,"about_ca_topic_score_gemma":0.006109992,"teacher_disagreement_score":0.012279086,"about_ca_system_score_codex":0.0014107487,"about_ca_system_score_gemma":0.0021113618,"threshold_uncertainty_score":0.041077673},"labels":[],"label_agreement":null},{"id":"W4386170857","doi":"10.1016/j.geits.2023.100122","title":"A cloud-based eco-driving solution for autonomous hybrid electric bus rapid transit in cooperative vehicle-infrastructure systems: A dynamic programming approach","year":2023,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Beijing Information Science and Technology University; National Natural Science Foundation of China","keywords":"Scheduling (production processes); Public transport; Cloud computing; Model predictive control; Dynamic programming; Computer science; Energy management; Energy management system; Automotive engineering; Real-time computing; Transport engineering; Engineering; Simulation; Control (management); Energy (signal processing)","score_opus":0.006640830492072427,"score_gpt":0.19989952287623997,"score_spread":0.19325869238416754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386170857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06675289,0.00033204159,0.9225271,0.0004181944,0.00008990397,0.00010006078,0.00011781128,0.0004187777,0.009243262],"genre_scores_gemma":[0.92542887,0.0002086763,0.07149523,0.000091135415,0.000028339633,0.000059035534,0.000112187125,0.000042981548,0.0025335718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999858,0.000020861542,0.0000037923962,0.000030334788,0.000028711609,0.000058172096],"domain_scores_gemma":[0.9998518,0.000041691226,0.000017221413,0.000014132766,0.000043725213,0.00003145564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021663554,0.0005269769,0.00046996126,0.000220607,0.00046459996,0.00067447714,0.0008859518,0.0004021437,0.0015445536],"category_scores_gemma":[0.00031586995,0.00019386828,0.00042140577,0.00032673313,0.00023205453,0.00050304015,0.0007650346,0.00057462073,0.00016875683],"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":[0.000059238268,0.00009214445,0.00063622795,0.00004325372,0.000019659947,0.0000963174,0.000036105317,0.9522107,0.0035623119,0.008078979,0.0013827331,0.033782292],"study_design_scores_gemma":[0.0000029101463,0.000011775745,0.00006467951,0.000001307235,0.0000025354054,0.000007444662,0.000014401154,0.9984541,0.0003013069,0.0007817364,0.00035633612,0.0000016033878],"about_ca_topic_score_codex":0.012532144,"about_ca_topic_score_gemma":0.013362169,"teacher_disagreement_score":0.012532144,"about_ca_system_score_codex":0.0005605296,"about_ca_system_score_gemma":0.0013837228,"threshold_uncertainty_score":0.024918377},"labels":[],"label_agreement":null},{"id":"W4386323464","doi":"10.23919/aeitautomotive58986.2023.10217241","title":"Application of Bus as a Service and Analysis of Electric Bus Consumption in Urban Areas","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Electrification; Metropolitan area; Public transport; Energy consumption; Service (business); Transport engineering; Consumption (sociology); Computer science; Local bus; Electricity; Telecommunications; Automotive engineering; Engineering; System bus; Business; Control bus; Electrical engineering; Geography","score_opus":0.004919888700555155,"score_gpt":0.20891668298058116,"score_spread":0.203996794280026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386323464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97598517,0.00011578022,0.013794528,0.00008705627,0.000010126454,0.000038130376,0.0006855847,0.00014481875,0.0091387415],"genre_scores_gemma":[0.99627894,0.00009725441,0.0020908376,0.000004405667,0.0000036644528,0.000020029522,0.0002770935,0.000015635138,0.0012121781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997588,0.00011603343,0.000008043269,0.000034078064,0.00004659705,0.00003647402],"domain_scores_gemma":[0.99976605,0.000120475226,0.000027662012,0.000021184924,0.000044968103,0.000019745521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021389633,0.00045362764,0.0003202827,0.0008537296,0.00026137117,0.0005593741,0.00041517013,0.00052648084,0.0015978166],"category_scores_gemma":[0.00082584674,0.00020808855,0.0004432609,0.0017274481,0.00027215877,0.0004489706,0.00034222085,0.00018361065,0.00023907359],"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":[0.000090778936,0.00009234481,0.021952784,0.00004571945,0.000029826717,0.00031588358,0.00014673008,0.96399903,0.0015060148,0.0030721866,0.00041381537,0.008334866],"study_design_scores_gemma":[0.000008188084,0.000060590966,0.0137676485,0.0000056364825,0.000009831242,0.00005683522,0.00035412726,0.9828211,0.0008181779,0.0010017443,0.0010853085,0.000010917305],"about_ca_topic_score_codex":0.037466154,"about_ca_topic_score_gemma":0.022805665,"teacher_disagreement_score":0.037466154,"about_ca_system_score_codex":0.0009210299,"about_ca_system_score_gemma":0.00052075373,"threshold_uncertainty_score":0.07449621},"labels":[],"label_agreement":null},{"id":"W4386401674","doi":"10.1016/j.etran.2023.100280","title":"Local demand management of charging stations using vehicle-to-vehicle service: A welfare maximization-based soft actor-critic model","year":2023,"lang":"en","type":"article","venue":"eTransportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Maximization; Electric vehicle; Demand response; Electrification; Computer science; Transformer; Dynamic pricing; Automotive engineering; Incentive; Operations research; Electricity; Engineering; Voltage; Microeconomics; Economics; Electrical engineering; Power (physics)","score_opus":0.011619902009264034,"score_gpt":0.23043063821057433,"score_spread":0.2188107362013103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386401674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09817896,0.00049152086,0.8777451,0.002207962,0.00019309072,0.00011833042,0.00040129948,0.00037057512,0.020293243],"genre_scores_gemma":[0.9749795,0.00017227938,0.0119083095,0.0001851573,0.000071030154,0.00010970698,0.0001724464,0.0000718192,0.012329832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908674,0.00039017235,0.00002674371,0.00021088506,0.00009354345,0.0001919475],"domain_scores_gemma":[0.9969427,0.0020402132,0.0002453532,0.00007103644,0.00044077658,0.00025991042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021581233,0.0013070195,0.0026072816,0.00080664066,0.00065698614,0.0024500682,0.0026901364,0.0033010964,0.0061750845],"category_scores_gemma":[0.004484449,0.0013423306,0.0009988163,0.0009964249,0.002015818,0.0015726052,0.0020838522,0.0023932834,0.00067354896],"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":[0.000049102677,0.000019468447,0.00018084317,0.00002288778,0.00001770968,0.000049044833,0.00001943385,0.99465996,0.00014071728,0.0033833787,0.0004445669,0.001012823],"study_design_scores_gemma":[0.000006601199,0.0000054326815,0.00002741614,0.0000021243545,0.0000035565047,0.0000021149103,0.0000059366475,0.9991399,0.00002163057,0.00073551794,0.000047499136,0.0000021183237],"about_ca_topic_score_codex":0.014739869,"about_ca_topic_score_gemma":0.011435549,"teacher_disagreement_score":0.014739869,"about_ca_system_score_codex":0.0022224921,"about_ca_system_score_gemma":0.0016485073,"threshold_uncertainty_score":0.02930814},"labels":[],"label_agreement":null},{"id":"W4386420470","doi":"10.3390/en16176359","title":"An Incentive-Based Mechanism to Enhance Energy Trading among Microgrids, EVs, and Grid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microgrid; Grid; Incentive; Revenue; Computer science; Energy storage; Environmental economics; Automotive engineering; Reliability engineering; Business; Power (physics); Engineering; Microeconomics; Economics; Finance","score_opus":0.0032030270822661776,"score_gpt":0.20275355193992498,"score_spread":0.19955052485765878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386420470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055162016,0.00036858107,0.931219,0.0008710077,0.000261306,0.0003771039,0.00010407437,0.0005281644,0.011108743],"genre_scores_gemma":[0.9198516,0.00016659852,0.07669743,0.00012973703,0.00007545299,0.00019372914,0.000039120983,0.00001942161,0.0028269545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989492,0.0004381452,0.000061662555,0.0001753966,0.000226118,0.00014941298],"domain_scores_gemma":[0.9980971,0.00083855836,0.0003624936,0.0001901305,0.00030753753,0.00020403512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024972921,0.0008314236,0.0008481058,0.0005981606,0.000574307,0.0012220208,0.00256393,0.0014045701,0.003663519],"category_scores_gemma":[0.0048383465,0.00036276504,0.00058966107,0.00059751415,0.00063985336,0.002500991,0.0018163612,0.001167078,0.0003436515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045549628,0.0009169786,0.0020486712,0.00034274315,0.0001321271,0.0006270593,0.00015893008,0.6576808,0.017031195,0.2038149,0.0050450587,0.11174609],"study_design_scores_gemma":[0.00010771169,0.00027191156,0.00036673524,0.00002452187,0.000029129329,0.0001701037,0.000027175483,0.96923023,0.001993346,0.02353342,0.0042161844,0.000029608429],"about_ca_topic_score_codex":0.0007131443,"about_ca_topic_score_gemma":0.0008949238,"teacher_disagreement_score":0.003663519,"about_ca_system_score_codex":0.00075492484,"about_ca_system_score_gemma":0.0018684542,"threshold_uncertainty_score":0.013207078},"labels":[],"label_agreement":null},{"id":"W4386426572","doi":"10.3386/w31630","title":"Show Me the Money! Incentives and Nudges to Shift Electric Vehicle Charge Timing","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Calgary; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canada First Research Excellence Fund; University of Alberta; University of Calgary","keywords":"Nudge theory; Incentive; Charge (physics); Economics; Monetary economics; Microeconomics; Physics; Psychology; Social psychology","score_opus":0.1869259305840547,"score_gpt":0.4323714858263981,"score_spread":0.2454455552423434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386426572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901265,0.000041614356,0.0015848874,0.0005418409,0.000060220744,0.00014263991,0.00013780092,0.000053958724,0.0073105856],"genre_scores_gemma":[0.9942464,0.00003859214,0.0020165434,0.0003622671,0.000020984005,0.00024071238,0.00006396444,0.000009613932,0.003000921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987437,0.00070869696,0.000075099066,0.00017803101,0.00016963702,0.00012476498],"domain_scores_gemma":[0.98158884,0.011411251,0.0040704366,0.0015356629,0.0004166714,0.0009770645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002776315,0.00032059246,0.0003145639,0.00024434229,0.00039933412,0.00063343626,0.0005069173,0.0011762724,0.0086497],"category_scores_gemma":[0.015645022,0.0002511686,0.0001991535,0.00014975855,0.0007557603,0.0007825013,0.0005452353,0.0010034613,0.0007567699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027781522,0.09854535,0.3631513,0.0013665359,0.00076083804,0.00060951477,0.003086151,0.0138484305,0.14332554,0.034276202,0.016133154,0.29711542],"study_design_scores_gemma":[0.004997357,0.08320703,0.7406296,0.00028341994,0.0006175165,0.00055224117,0.0044222814,0.03594928,0.06414864,0.02988592,0.03499614,0.00031054503],"about_ca_topic_score_codex":0.0008487206,"about_ca_topic_score_gemma":0.0015814286,"teacher_disagreement_score":0.0086497,"about_ca_system_score_codex":0.00045425916,"about_ca_system_score_gemma":0.0004332109,"threshold_uncertainty_score":0.028936148},"labels":[],"label_agreement":null},{"id":"W4386452630","doi":"10.2139/ssrn.4560557","title":"Show Me the Money! Incentives and Nudges to Shift Electric Vehicle Charge Timing","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Nudge theory; Incentive; Charge (physics); Economics; Electric vehicle; Physics; Microeconomics; Political science; Law; Thermodynamics","score_opus":0.005792991108907906,"score_gpt":0.20693411403222434,"score_spread":0.20114112292331643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386452630","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17024451,0.0042843013,0.01550459,0.11112862,0.0039820597,0.00008728595,0.0006626391,0.00042788073,0.6936781],"genre_scores_gemma":[0.9177614,0.0007010553,0.0011319197,0.0038666213,0.00063881377,0.000031308384,0.000059723956,0.00007415838,0.07573495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988171,0.0005201707,0.000042572028,0.00013103432,0.00028966402,0.00019941076],"domain_scores_gemma":[0.9930016,0.0036625294,0.0012266077,0.00039459014,0.0008249652,0.00088982156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027838927,0.00024037022,0.0003127905,0.00052910135,0.0011232813,0.0033268535,0.00058347755,0.0030490668,0.04400192],"category_scores_gemma":[0.02340951,0.0002864753,0.00020945328,0.00048383293,0.001429821,0.003575417,0.0014900231,0.0025510848,0.0035841954],"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":[0.0012228369,0.00030537994,0.014038879,0.0001579728,0.00006238077,0.0002753365,0.00074625766,0.005892717,0.0013730066,0.68238014,0.18291347,0.11063156],"study_design_scores_gemma":[0.00037706128,0.0006510571,0.031666074,0.00044731318,0.00012947638,0.00038651045,0.0037980268,0.011807784,0.0023821564,0.44620898,0.50193906,0.00020656553],"about_ca_topic_score_codex":0.0029515112,"about_ca_topic_score_gemma":0.0059621087,"teacher_disagreement_score":0.04400192,"about_ca_system_score_codex":0.0015649161,"about_ca_system_score_gemma":0.0012857235,"threshold_uncertainty_score":0.14720106},"labels":[],"label_agreement":null},{"id":"W4386453791","doi":"10.1109/tia.2023.3312063","title":"Comprehensive Transition Plan for Battery-Electric Bus Fleets Considering Utility Constraints","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"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 Waterloo","funders":"","keywords":"Electrification; Flexibility (engineering); Public transport; Sizing; Operations research; Purchasing; Computer science; Adaptability; Transport engineering; Scalability; Battery (electricity); Engineering; Electricity; Operations management; Electrical engineering","score_opus":0.028005436208711515,"score_gpt":0.24767185709571235,"score_spread":0.21966642088700084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386453791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24750842,0.00032699856,0.72867435,0.00039346816,0.000035816745,0.0005216271,0.0008528742,0.0004127248,0.021273658],"genre_scores_gemma":[0.9353273,0.00021971647,0.059443995,0.000026454974,0.0000059130557,0.00021711217,0.00060200103,0.000049374743,0.0041081244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996902,0.0000882852,0.000011404798,0.00005591945,0.000054466458,0.00009972265],"domain_scores_gemma":[0.9997639,0.00008689213,0.000034857643,0.0000129459695,0.000051502702,0.000049974053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005392776,0.0007695698,0.000541836,0.0007486777,0.00055011746,0.001266792,0.00069206336,0.00080397975,0.004481489],"category_scores_gemma":[0.00085847516,0.00045101772,0.00067943777,0.0006911271,0.00037062095,0.0011768484,0.0010560744,0.00086746836,0.00031208873],"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":[0.000037587328,0.000020129946,0.00033452056,0.000023964802,0.0000074185273,0.00011907637,0.000041386025,0.9861665,0.00084694865,0.005066345,0.00033650626,0.006999675],"study_design_scores_gemma":[0.00000758342,0.000049637114,0.00025974005,0.000008470265,0.000007784741,0.000022480248,0.000107840584,0.9952266,0.00036070932,0.0031218817,0.0008200884,0.0000070828564],"about_ca_topic_score_codex":0.012935739,"about_ca_topic_score_gemma":0.013036101,"teacher_disagreement_score":0.012935739,"about_ca_system_score_codex":0.0013755247,"about_ca_system_score_gemma":0.002155295,"threshold_uncertainty_score":0.025720894},"labels":[],"label_agreement":null},{"id":"W4386456795","doi":"10.1371/journal.pclm.0000271","title":"The enablers, opportunities and challenges of electric vehicle adoption in Qatar: A systematic review of the literature and assessment of progress toward transportation transformation targets","year":2023,"lang":"en","type":"review","venue":"PLOS Climate","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"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 Ottawa","funders":"","keywords":"Scopus; Systematic review; Government (linguistics); Greenhouse gas; Business; Renewable energy; Engineering; Political science","score_opus":0.05025448986077476,"score_gpt":0.27675696620123674,"score_spread":0.22650247634046197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386456795","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009129822,0.98678523,0.00041475805,0.0021360312,0.00015940786,0.0004745362,0.00031475586,0.000007267715,0.0005781412],"genre_scores_gemma":[0.10538427,0.88857657,0.0025252702,0.0018155919,0.000115697956,0.0010952262,0.00031363615,0.000005049721,0.00016870564],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9794024,0.010390356,0.0053425664,0.0011553795,0.0030453,0.0006639974],"domain_scores_gemma":[0.93156636,0.051210232,0.008856193,0.0006707302,0.007199719,0.00049674977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034741707,0.0010863531,0.0033971902,0.012998945,0.0012541835,0.0036299764,0.0012322089,0.0017106241,0.0016327726],"category_scores_gemma":[0.065277345,0.00094385794,0.0046695974,0.010085515,0.0015320319,0.004275002,0.0021813845,0.0016372132,0.00013546058],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018857516,0.00006593332,0.008608554,0.82451177,0.005040074,0.00035595283,0.0066375327,0.00036838534,0.00036000926,0.0022373064,0.0025973201,0.14902854],"study_design_scores_gemma":[0.00009720137,0.00035350892,0.0182023,0.93056417,0.015288446,0.00062538835,0.009622643,0.00028212197,0.00037692694,0.0012587938,0.023262653,0.000065922206],"about_ca_topic_score_codex":0.012429357,"about_ca_topic_score_gemma":0.040963877,"teacher_disagreement_score":0.034741707,"about_ca_system_score_codex":0.007015528,"about_ca_system_score_gemma":0.039157916,"threshold_uncertainty_score":0.18373394},"labels":[],"label_agreement":null},{"id":"W4386518828","doi":"10.54097/jid.v3i3.10412","title":"The Comparison between the Total Aggregate Sustainability of Electric Vehicles and Internal Combustion Engine Vehicles, Evidence from Montreal","year":2023,"lang":"en","type":"article","venue":"Journal of innovation and development","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Scope (computer science); Electricity; Greenhouse gas; Internal combustion engine; Environmental economics; Aggregate (composite); Sustainable transport; Transport engineering; Service (business); Battery electric vehicle; Business; Electric vehicle; Engineering; Automotive engineering; Computer science; Economics; Marketing","score_opus":0.012928285307109271,"score_gpt":0.24322220041904274,"score_spread":0.23029391511193348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386518828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560735,0.0040708557,0.0010898254,0.0016475327,0.00003533705,0.00008666695,0.008031391,0.000052637595,0.02891221],"genre_scores_gemma":[0.9955857,0.00070662313,0.00035193632,0.00008046121,0.0000064610817,0.000017930717,0.0013134769,0.00000772433,0.001929808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883074,0.0001976131,0.00006998784,0.00023465323,0.0003876042,0.00027937445],"domain_scores_gemma":[0.9967642,0.00046328752,0.0005602281,0.00014243467,0.0017957132,0.00027418684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014921742,0.0004674218,0.00028883218,0.0035532215,0.0013699953,0.0017194574,0.0010034489,0.0002384719,0.0027174228],"category_scores_gemma":[0.0061313906,0.00018694898,0.00055649,0.0057055526,0.0011522598,0.0010590163,0.0011456464,0.00036443854,0.00013858076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002502481,0.0000655485,0.9221598,0.0005756156,0.0006338663,0.0004458807,0.0041245637,0.0031424835,0.0015255103,0.009787155,0.007677002,0.04961235],"study_design_scores_gemma":[0.0000064104247,0.00003257193,0.9909492,0.00007729937,0.00014301299,0.000026677899,0.0022876877,0.0006872255,0.00040710432,0.00015613786,0.0052033695,0.000023195584],"about_ca_topic_score_codex":0.989837,"about_ca_topic_score_gemma":0.9951957,"teacher_disagreement_score":0.026943102,"about_ca_system_score_codex":0.026943102,"about_ca_system_score_gemma":0.014081921,"threshold_uncertainty_score":0.19548678},"labels":[],"label_agreement":null},{"id":"W4386527029","doi":"10.1016/j.egyr.2023.08.073","title":"Potential reductions of CO2 emissions from the transition to electric vehicles: Thailand’s scenarios towards 2030","year":2023,"lang":"en","type":"article","venue":"Energy Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":43,"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":"Department of Mechanical Engineering, University of Alberta; Murata Science Foundation; Chiang Mai University","keywords":"Greenhouse gas; Renewable energy; Electricity; Global warming; Fossil fuel; Incentive; Environmental economics; Electric vehicle; Government (linguistics); Natural resource economics; Production (economics); Business; Environmental science; Climate change; Engineering; Waste management; Economics; Power (physics)","score_opus":0.0053477039451866,"score_gpt":0.1984759293451309,"score_spread":0.1931282253999443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386527029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92637753,0.0028339322,0.0043661385,0.004312001,0.00016476895,0.00008308825,0.0074994904,0.00018727565,0.054175723],"genre_scores_gemma":[0.9936905,0.0013531242,0.0010694696,0.00015608406,0.000012402622,0.0000464122,0.0015509385,0.0000156335,0.002105489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996444,0.00011527163,0.000013955312,0.000029778543,0.00006134848,0.0001352681],"domain_scores_gemma":[0.99964464,0.00008795957,0.00004489657,0.000010073382,0.00012710065,0.00008527724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006567029,0.0010278573,0.00030621505,0.00060507865,0.00059133343,0.0016835973,0.00068292744,0.0012950198,0.0028981944],"category_scores_gemma":[0.0006191048,0.0002596009,0.0013430262,0.0010616609,0.0004976051,0.0016086748,0.0008153213,0.0008631447,0.00043269026],"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":[0.001632129,0.00029123467,0.031933848,0.0007340606,0.00031408452,0.006169093,0.0003471785,0.89521277,0.0053527695,0.021624638,0.012238358,0.024149884],"study_design_scores_gemma":[0.00023615084,0.0012815046,0.07003866,0.00041331595,0.00065687974,0.0012718011,0.007754424,0.843015,0.0097891,0.027786197,0.03741949,0.00033746538],"about_ca_topic_score_codex":0.05727308,"about_ca_topic_score_gemma":0.04103578,"teacher_disagreement_score":0.05727308,"about_ca_system_score_codex":0.0028023776,"about_ca_system_score_gemma":0.0018555163,"threshold_uncertainty_score":0.11387944},"labels":[],"label_agreement":null},{"id":"W4386536271","doi":"10.1109/access.2023.3313553","title":"An Adaptive Regenerative Braking Strategy Design Based on Naturalistic Regeneration Performance for Intelligent Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"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":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Regenerative brake; Computer science; Automotive engineering; Powertrain; Engine braking; Controller (irrigation); Maximization; Control theory (sociology); Engineering; Control (management); Torque; Brake; Artificial intelligence; Mathematical optimization","score_opus":0.05839417889819627,"score_gpt":0.2990262654334352,"score_spread":0.24063208653523893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386536271","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08090278,0.000330324,0.910254,0.00010725022,0.00003960187,0.000113920716,0.000021495875,0.00039303207,0.0078376345],"genre_scores_gemma":[0.96844906,0.000099163335,0.029613184,0.000033181874,0.000009624856,0.00012512213,0.000029046787,0.000012783786,0.0016288622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984646,0.000020302303,0.000011453234,0.000045179862,0.000047908226,0.000028630779],"domain_scores_gemma":[0.9998356,0.00003113602,0.000035721187,0.000009291168,0.00007684069,0.00001131318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030649605,0.00043493407,0.00028597697,0.0004114031,0.0002536084,0.0004366781,0.00070364814,0.0003487906,0.0008652544],"category_scores_gemma":[0.00041113026,0.00018890838,0.00030571304,0.0001468558,0.00023291633,0.00037684225,0.0003336927,0.00024072548,0.00018477469],"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":[0.00024099965,0.0002228739,0.002149491,0.00027964648,0.00007321694,0.00018814456,0.0002496017,0.6840229,0.09853553,0.0075494586,0.0011046224,0.20538355],"study_design_scores_gemma":[0.000012934436,0.00019736933,0.0006514036,0.000008050552,0.000018812854,0.000034520395,0.000023656632,0.99298275,0.004417517,0.00067501364,0.0009666773,0.000011319692],"about_ca_topic_score_codex":0.0031762135,"about_ca_topic_score_gemma":0.003440866,"teacher_disagreement_score":0.0031762135,"about_ca_system_score_codex":0.0003578487,"about_ca_system_score_gemma":0.00054881367,"threshold_uncertainty_score":0.0063154697},"labels":[],"label_agreement":null},{"id":"W4386646333","doi":"10.1109/peds57185.2023.10246753","title":"Comparison of Two Reward Functions for a Multi-Stack Hybrid Trike Motor","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Stack (abstract data type); Minification; Battery (electricity); Reinforcement learning; Power (physics); Electric vehicle; Automotive engineering; Function (biology); Energy management; Energy (signal processing); Mathematical optimization; Engineering; Artificial intelligence; Mathematics","score_opus":0.045840657615937225,"score_gpt":0.3165817384643576,"score_spread":0.2707410808484204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386646333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72264045,0.0020455243,0.26261115,0.0005674966,0.0001274362,0.00021040073,0.00011422599,0.0005967975,0.011086457],"genre_scores_gemma":[0.99268734,0.00012553362,0.0063001025,0.000018170475,0.000003308537,0.000031537016,0.000022772198,0.000011722928,0.0007994655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995241,0.000174789,0.000029493112,0.00005617311,0.000104067934,0.00011132093],"domain_scores_gemma":[0.9974402,0.0017591831,0.00016926831,0.00007623629,0.0004295131,0.00012555403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001971492,0.0008724881,0.0006508587,0.00071768835,0.0003039568,0.0008603955,0.00057583215,0.0010580301,0.0019551197],"category_scores_gemma":[0.0040737577,0.00017511964,0.00043731875,0.00024377333,0.00038247087,0.0006532475,0.0005390859,0.00056129065,0.00023587997],"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":[0.00076881866,0.00016375494,0.0007713502,0.00015618233,0.000040057537,0.000065454806,0.000028229673,0.97007376,0.0028618183,0.001677325,0.00015525492,0.0232379],"study_design_scores_gemma":[0.000032305135,0.0004909011,0.0009164923,0.000013091776,0.000027046504,0.000020169397,0.000020591227,0.99514824,0.0026637143,0.0004246878,0.00022926799,0.000013525115],"about_ca_topic_score_codex":0.0041003204,"about_ca_topic_score_gemma":0.0022440217,"teacher_disagreement_score":0.0041003204,"about_ca_system_score_codex":0.0011523586,"about_ca_system_score_gemma":0.000784414,"threshold_uncertainty_score":0.010426402},"labels":[],"label_agreement":null},{"id":"W4386810006","doi":"10.18280/ria.370402","title":"Deep Learning Based Optimization Model for Energy Consumption of New Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Energy consumption; Computer science; Deep learning; Consumption (sociology); Electric energy consumption; Automotive engineering; Artificial intelligence; Engineering; Electric energy; Electrical engineering; Physics; Art; Power (physics)","score_opus":0.02652046381064534,"score_gpt":0.2393163926638426,"score_spread":0.21279592885319726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386810006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089960806,0.001600553,0.89275354,0.0010824277,0.0001467643,0.0000679922,0.0007113114,0.0005568189,0.013119754],"genre_scores_gemma":[0.9609242,0.000639847,0.024644494,0.00018179171,0.000044228582,0.00017335654,0.00069563184,0.00007165424,0.012624773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.00003616647,0.000008582536,0.000045221546,0.000037587535,0.000033579625],"domain_scores_gemma":[0.9997738,0.00011707101,0.000025126983,0.000008091075,0.00006583732,0.000010112667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004901077,0.0007496146,0.00066083,0.00041640078,0.0002109124,0.0007444527,0.0008251883,0.0009604522,0.0027268971],"category_scores_gemma":[0.0011293369,0.00044695634,0.00066119,0.00053332746,0.0003572629,0.00066147203,0.00056914764,0.0011131315,0.00034677738],"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":[0.0000083386685,0.0000067604633,0.00021254188,0.000009852414,0.0000063503344,0.0000126680625,0.0000036208867,0.9961222,0.000103157385,0.0008676134,0.00023737593,0.0024094733],"study_design_scores_gemma":[5.7036937e-7,0.0000012392957,0.00002579629,8.427567e-7,8.269719e-7,7.291462e-7,6.4525744e-7,0.99967587,0.000019398198,0.00022673137,0.000046927238,4.996474e-7],"about_ca_topic_score_codex":0.026486086,"about_ca_topic_score_gemma":0.021107012,"teacher_disagreement_score":0.026486086,"about_ca_system_score_codex":0.0011358064,"about_ca_system_score_gemma":0.0012737124,"threshold_uncertainty_score":0.052663863},"labels":[],"label_agreement":null},{"id":"W4386899175","doi":"10.1109/sefet57834.2023.10245051","title":"Comprehensive Fleet and Charger Sizing for Public Transportation Electrification Considering Route Assignment","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"","keywords":"Electrification; Public transport; Procurement; Sizing; Battery (electricity); Transport engineering; Computer science; Work (physics); Automotive engineering; Operations research; Engineering; Electricity; Electrical engineering; Business; Power (physics)","score_opus":0.02580108362853353,"score_gpt":0.22516147003533435,"score_spread":0.19936038640680082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386899175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13567452,0.00030146915,0.8511467,0.0001071601,0.000026135012,0.00021894333,0.00038651325,0.0003554957,0.011783092],"genre_scores_gemma":[0.8649551,0.000217266,0.12818278,0.000022422848,0.000012608126,0.00014861651,0.00037239923,0.00007879591,0.0060099694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998355,0.000048468813,0.0000070037763,0.000034988305,0.0000410651,0.000032896314],"domain_scores_gemma":[0.99984276,0.00007253221,0.000026690921,0.000014822974,0.000031073323,0.000011995233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033171286,0.0009452988,0.00071586727,0.0005747623,0.0003786899,0.0008395487,0.0005597998,0.000498978,0.005330908],"category_scores_gemma":[0.0006773485,0.0004310807,0.00080748164,0.0007291346,0.00021623498,0.0007120754,0.00042736167,0.00043391512,0.0003587055],"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":[0.000021363723,0.000018053597,0.00020921094,0.000033135486,0.0000114970135,0.00002776776,0.000014770753,0.9828552,0.0016601756,0.0011098073,0.00023434623,0.013804742],"study_design_scores_gemma":[0.0000058043615,0.00004516591,0.00033582406,0.000004889231,0.000011727929,0.000020282681,0.000026786422,0.9969312,0.00077361014,0.00114597,0.0006939056,0.000004902884],"about_ca_topic_score_codex":0.0097148325,"about_ca_topic_score_gemma":0.01809567,"teacher_disagreement_score":0.0097148325,"about_ca_system_score_codex":0.0008735508,"about_ca_system_score_gemma":0.0015053828,"threshold_uncertainty_score":0.019316614},"labels":[],"label_agreement":null},{"id":"W4386914802","doi":"10.1016/j.jclepro.2023.138920","title":"Techno-economic comparison on charging modes of battery heavy-duty vehicles in short-haul delivery: A case study of China","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; National Natural Science Foundation of China","keywords":"Catenary; Swap (finance); Profitability index; Electrification; Net present value; Environmental economics; Automotive engineering; Engineering; Transport engineering; Business; Electrical engineering; Finance; Economics; Electricity","score_opus":0.016602682934199333,"score_gpt":0.25149411482979667,"score_spread":0.23489143189559733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386914802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824417,0.000032808708,0.0005333547,0.000028167318,0.0000023120833,0.000036336824,0.00007960547,0.000008565996,0.0010347572],"genre_scores_gemma":[0.9988153,0.000055054225,0.00042570918,0.0000036147424,0.0000013053058,0.000014490566,0.00006914619,0.0000034976795,0.00061187614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991585,0.00021466949,0.00003953389,0.000105322615,0.00022921992,0.00025284477],"domain_scores_gemma":[0.9990081,0.0004129366,0.000121139274,0.00009155198,0.0002608695,0.00010539488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014111599,0.00073785416,0.00060110644,0.002190785,0.0009180628,0.0014688084,0.0012539565,0.00076468027,0.0012554037],"category_scores_gemma":[0.0018185637,0.0003353057,0.0013736823,0.002065238,0.00085970917,0.0013025017,0.0007281919,0.0003846588,0.00009620813],"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":[0.0009791502,0.0012840035,0.25592324,0.00037986218,0.00040334382,0.008063835,0.0012906195,0.66194993,0.012978803,0.0062760194,0.0014951922,0.048976034],"study_design_scores_gemma":[0.00011663165,0.0012952907,0.20937976,0.00005007675,0.00027910387,0.0005218242,0.006442836,0.76675445,0.010696232,0.0016655369,0.0026289462,0.00016925664],"about_ca_topic_score_codex":0.09537532,"about_ca_topic_score_gemma":0.06446619,"teacher_disagreement_score":0.09537532,"about_ca_system_score_codex":0.0069312365,"about_ca_system_score_gemma":0.0019223978,"threshold_uncertainty_score":0.18964034},"labels":[],"label_agreement":null},{"id":"W4386965226","doi":"10.1080/15435075.2023.2259975","title":"Electric vehicles charging infrastructure planning: a review","year":2023,"lang":"en","type":"review","venue":"International Journal of Green Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Electrification; Sustainable transport; Work (physics); Metropolitan area; Electric vehicle; Infrastructure planning; Environmental economics; Driving range; Transport engineering; Business; Environmentally friendly; Computer science; Electricity; Engineering; Sustainability; Electrical engineering; Economics","score_opus":0.020308909358018108,"score_gpt":0.29013674080058566,"score_spread":0.26982783144256756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386965226","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003603385,0.9960764,0.0006351552,0.00027060282,0.0002071085,0.000013391397,0.000049816612,0.000015812484,0.0023713359],"genre_scores_gemma":[0.002112445,0.9967386,0.00046954417,0.00007324236,0.00011847934,0.000007939961,0.00005670358,0.0000032291643,0.0004197136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99962986,0.000059227114,0.000059421167,0.00006825157,0.00015559864,0.000027580438],"domain_scores_gemma":[0.99888295,0.0006430424,0.00011783259,0.000026459986,0.00029742005,0.000032262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006972725,0.00095960015,0.0010454396,0.0024686698,0.00030562066,0.0013030315,0.0011389528,0.0010465612,0.0055806185],"category_scores_gemma":[0.001805572,0.00046311299,0.000944922,0.0040167146,0.00028242747,0.0014708142,0.00049917476,0.00079277396,0.0015736492],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004840861,0.0000891635,0.00043213723,0.04302708,0.00014922553,0.00017047276,0.00008594042,0.002900131,0.00061256054,0.006309114,0.027015721,0.91916],"study_design_scores_gemma":[0.000013585411,0.00014493565,0.0015037286,0.018757606,0.0004227805,0.0009792225,0.00016578221,0.0010744763,0.00063898007,0.003499094,0.972758,0.000041823427],"about_ca_topic_score_codex":0.003109907,"about_ca_topic_score_gemma":0.0035848322,"teacher_disagreement_score":0.0055806185,"about_ca_system_score_codex":0.00061558007,"about_ca_system_score_gemma":0.0021862502,"threshold_uncertainty_score":0.01866901},"labels":[],"label_agreement":null},{"id":"W4387006219","doi":"10.1109/pesgm52003.2023.10252605","title":"Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Incentive; Electric vehicle; Transformer; Automotive engineering; Electric power system; Electrical engineering; Reliability engineering; Computer science; Voltage; Engineering; Power (physics)","score_opus":0.010192119225511302,"score_gpt":0.23133518720961796,"score_spread":0.22114306798410666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387006219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45628232,0.00033335073,0.53194755,0.00023759724,0.00005888425,0.00007675421,0.00007076373,0.00017969654,0.010813027],"genre_scores_gemma":[0.99559337,0.00007830757,0.0034982753,0.000011341997,0.000012676815,0.0000069642174,0.000012279645,0.000009754697,0.0007769702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994518,0.00019532179,0.00001631174,0.000060157006,0.00017063667,0.00010579018],"domain_scores_gemma":[0.99890065,0.00064083387,0.00019186635,0.0000458238,0.00017734942,0.000043493972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008955888,0.0006284566,0.0005093242,0.0003909438,0.00020257357,0.0006405278,0.0006223055,0.0005598651,0.0009808032],"category_scores_gemma":[0.002409234,0.0002529414,0.00034410213,0.00037346227,0.00034569175,0.0008997948,0.00053789816,0.00048451137,0.00007084219],"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":[0.0000886467,0.00006179614,0.002064183,0.000044742847,0.000027029737,0.00016002901,0.000030065179,0.97572607,0.0037295558,0.004653705,0.00018774385,0.013226435],"study_design_scores_gemma":[0.0000033895567,0.00008104211,0.0015194627,0.0000039868187,0.000018584553,0.00004233386,0.000024515308,0.9956162,0.0012012909,0.0012293116,0.00025481134,0.0000050943386],"about_ca_topic_score_codex":0.0020792296,"about_ca_topic_score_gemma":0.0018644575,"teacher_disagreement_score":0.0020792296,"about_ca_system_score_codex":0.0006910458,"about_ca_system_score_gemma":0.00058029883,"threshold_uncertainty_score":0.005013883},"labels":[],"label_agreement":null},{"id":"W4387026721","doi":"10.1016/j.segan.2023.101178","title":"Clustering-based optimal operation of charging stations under high penetration of electric vehicles","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Charging station; Cluster analysis; Electric vehicle; Minification; Computer science; Grid; Energy storage; Automotive engineering; Cluster (spacecraft); Market penetration; Mathematical optimization; Simulation; Power (physics); Engineering; Electrical engineering; Computer network; Mathematics","score_opus":0.003614198409515767,"score_gpt":0.18825208508838226,"score_spread":0.1846378866788665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387026721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5178837,0.00073397113,0.46018115,0.0006540472,0.00012429508,0.00016388546,0.0002465791,0.00062573305,0.019386705],"genre_scores_gemma":[0.9957884,0.000036469028,0.0035320814,0.000010324833,0.000005581294,0.0000066113093,0.000022538308,0.000008389997,0.00058959745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996685,0.00009481093,0.000011568204,0.000057137015,0.000057834186,0.00011026364],"domain_scores_gemma":[0.9993531,0.00032474342,0.00007304362,0.000029492596,0.00016869462,0.000050912975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350105,0.00064442004,0.00085073145,0.0005370644,0.00046256545,0.00088744255,0.0009362275,0.00071888324,0.0016214803],"category_scores_gemma":[0.0017034351,0.00042868528,0.00036767698,0.00078687526,0.0004628338,0.00058655936,0.00047947842,0.0004165332,0.00016306415],"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":[0.00012985246,0.000020541273,0.00025885712,0.00002097124,0.0000141638775,0.000028691633,0.000016708045,0.9914199,0.0009014355,0.0012921693,0.00028402227,0.0056126444],"study_design_scores_gemma":[0.0000069630296,0.000020317397,0.00020304603,0.0000017150792,0.000005104411,0.000007325138,0.000016051901,0.9985984,0.0003344925,0.00073706027,0.000066384026,0.0000031488805],"about_ca_topic_score_codex":0.01600244,"about_ca_topic_score_gemma":0.017763875,"teacher_disagreement_score":0.01600244,"about_ca_system_score_codex":0.0013280382,"about_ca_system_score_gemma":0.0012497177,"threshold_uncertainty_score":0.03181863},"labels":[],"label_agreement":null},{"id":"W4387072963","doi":"10.1016/j.apenergy.2023.121939","title":"Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"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":"Grid; Computer science; Fuzzy logic; Function (biology); Automotive engineering; Mathematical optimization; Engineering; Artificial intelligence; Mathematics","score_opus":0.006914629674000331,"score_gpt":0.20535519546629916,"score_spread":0.19844056579229882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387072963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05666187,0.00022095165,0.9347416,0.00016838798,0.00008092754,0.000101857295,0.000059538754,0.00056501833,0.0073997886],"genre_scores_gemma":[0.95469314,0.0000909418,0.042749476,0.00004501057,0.000024917957,0.000057394576,0.000042078558,0.000012358503,0.0022846498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931204,0.00010877864,0.00006657614,0.00021418078,0.00019400193,0.00010430406],"domain_scores_gemma":[0.99957246,0.00010683656,0.00007859505,0.00006044158,0.00014335645,0.000038292954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007752488,0.00040832793,0.00058456266,0.0005016981,0.00078550307,0.0009209066,0.0016995142,0.0006802198,0.0020699913],"category_scores_gemma":[0.0010820822,0.0001914501,0.00047515947,0.00046172293,0.00047902047,0.0007722246,0.0006771565,0.00048827584,0.00025308615],"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":[0.0005043868,0.00018371428,0.0017531746,0.00013877073,0.00009893351,0.0005386738,0.00038550366,0.75366014,0.033579398,0.055398233,0.0035183625,0.15024075],"study_design_scores_gemma":[0.000022008291,0.000055145043,0.00019497328,0.000004367679,0.000017944256,0.000053943026,0.000017754728,0.99247473,0.0027209942,0.0034462486,0.0009784612,0.000013535659],"about_ca_topic_score_codex":0.006759525,"about_ca_topic_score_gemma":0.0056993617,"teacher_disagreement_score":0.006759525,"about_ca_system_score_codex":0.0010496245,"about_ca_system_score_gemma":0.0009240888,"threshold_uncertainty_score":0.013440371},"labels":[],"label_agreement":null},{"id":"W4387315245","doi":"10.61511/jimese.v1i1.2023.27","title":"Environmental life cycle assessment of conventional and electric vehicles: lessons learned from selected countries","year":2023,"lang":"en","type":"article","venue":"Journal of Innovation Materials Energy and Sustainable Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Context (archaeology); Sustainability; Environmental impact assessment; Electricity; Renewable energy; Environmental economics; Business; Environmental science; Environmental protection; Engineering; Geography; Production (economics); Economics","score_opus":0.0057740575234573235,"score_gpt":0.21105335617092374,"score_spread":0.2052792986474664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387315245","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15222363,0.8035793,0.007692665,0.005422843,0.00045136348,0.00019502081,0.0011296981,0.00006209063,0.029243374],"genre_scores_gemma":[0.3760311,0.6116409,0.008572451,0.0010833839,0.00010325263,0.00011638315,0.0007130848,0.000032249958,0.0017072458],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99844223,0.00057087693,0.00022821699,0.00018148341,0.00047016237,0.00010707184],"domain_scores_gemma":[0.9946464,0.002398036,0.0003751692,0.000120838566,0.0023450614,0.000114520204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042868056,0.00056270696,0.0007424934,0.0037873443,0.00038417688,0.0018486724,0.0007369059,0.0005918316,0.0007174156],"category_scores_gemma":[0.004692643,0.00024716192,0.00091873,0.006330022,0.000529694,0.0015294659,0.00080670643,0.0007263463,0.00013690926],"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":[0.0001987001,0.00018899872,0.017300721,0.046047825,0.0005902764,0.002657161,0.009862144,0.012947005,0.0038242578,0.011004823,0.0144634005,0.8809146],"study_design_scores_gemma":[0.0000460676,0.0013566446,0.08099901,0.06723765,0.002052164,0.0021188438,0.044633932,0.004401084,0.01601072,0.010352466,0.770538,0.00025342015],"about_ca_topic_score_codex":0.014713274,"about_ca_topic_score_gemma":0.023307133,"teacher_disagreement_score":0.014713274,"about_ca_system_score_codex":0.0034744858,"about_ca_system_score_gemma":0.0050716614,"threshold_uncertainty_score":0.029255271},"labels":[],"label_agreement":null},{"id":"W4387409667","doi":"10.1016/j.eswa.2023.122004","title":"Optimizing prices in trade-in strategies for vehicle retailers","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Business; Subsidy; Value (mathematics); Industrial organization; Production (economics); Microeconomics; Economics; Computer science","score_opus":0.011764243586688303,"score_gpt":0.23647527382075098,"score_spread":0.2247110302340627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387409667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44777018,0.00078653113,0.51049244,0.0022843645,0.00020032669,0.00061238493,0.0002770029,0.00047637674,0.03710047],"genre_scores_gemma":[0.97371364,0.00011528889,0.021407463,0.00008097349,0.00002292615,0.000049117873,0.000050566003,0.000052867126,0.004507245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991184,0.00037582754,0.000043306587,0.0001230975,0.00011513486,0.00022412023],"domain_scores_gemma":[0.99672073,0.0024572648,0.00019000706,0.00007925146,0.00031868482,0.00023408073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018086564,0.0013057354,0.0023235283,0.001096271,0.0010263484,0.0035838613,0.0016046254,0.0029970577,0.0081208935],"category_scores_gemma":[0.0075946767,0.0013573774,0.00092062674,0.0009182688,0.0010556972,0.0033598694,0.0012512762,0.0018564385,0.0004669658],"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":[0.00054822356,0.0003699815,0.0011151367,0.00013856286,0.000080638834,0.00019626254,0.0001393528,0.9477822,0.0011643746,0.020843612,0.0015823168,0.026039368],"study_design_scores_gemma":[0.000051052517,0.00013695705,0.00020949024,0.000016563012,0.00003124625,0.000025478479,0.00010834845,0.98075783,0.000674931,0.017606443,0.0003695253,0.000012036674],"about_ca_topic_score_codex":0.007192624,"about_ca_topic_score_gemma":0.0072205644,"teacher_disagreement_score":0.0081208935,"about_ca_system_score_codex":0.0024284003,"about_ca_system_score_gemma":0.0024131485,"threshold_uncertainty_score":0.027167082},"labels":[],"label_agreement":null},{"id":"W4387473724","doi":"10.3390/wevj14100287","title":"Reasons Why Only Kuwaiti Citizens Drive Electric Vehicles despite Being Only a Quarter of the Population","year":2023,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Population; Government (linguistics); Purchasing; Marketing; Geography; Environmental health; Medicine","score_opus":0.005058633259377527,"score_gpt":0.2024934710470193,"score_spread":0.1974348377876418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387473724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933334,0.00016028763,0.000045876517,0.0014397562,0.000017235912,0.000011741168,0.00012113751,0.0000049102678,0.0048656045],"genre_scores_gemma":[0.9981516,0.00021555733,0.00005538304,0.00034728044,0.000010892844,0.000007105056,0.000050248538,0.000002485594,0.0011593074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967444,0.00006214718,0.00002004314,0.000043038854,0.00007696411,0.0001233475],"domain_scores_gemma":[0.9991561,0.00014117284,0.00034244466,0.000053145548,0.00014606131,0.00016104251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032540914,0.00012472161,0.00012945555,0.00036242057,0.00128865,0.0011508239,0.00026701883,0.000551003,0.004592318],"category_scores_gemma":[0.0014263999,0.00013235687,0.00016757235,0.00062837155,0.000545967,0.0006827901,0.0004455625,0.00051099237,0.00091788266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012825787,0.00022056223,0.9436009,0.00010187705,0.000033418328,0.0009491744,0.019836174,0.000050391453,0.0017089832,0.0009850505,0.005979259,0.02640594],"study_design_scores_gemma":[0.000006291063,0.000053595188,0.90178144,0.00011052859,0.000030060362,0.00081578543,0.08521722,0.00020562051,0.000383285,0.00021027336,0.0111644305,0.000021466258],"about_ca_topic_score_codex":0.034056753,"about_ca_topic_score_gemma":0.07040529,"teacher_disagreement_score":0.034056753,"about_ca_system_score_codex":0.0004650477,"about_ca_system_score_gemma":0.0007549234,"threshold_uncertainty_score":0.067717016},"labels":[],"label_agreement":null},{"id":"W4387489102","doi":"10.1109/sege59172.2023.10274585","title":"Optimization of Fuel Cell Electric Vehicle-to-Grid in Alberta by Mixed Integer Linear Programming","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electricity; Grid; Integer programming; Automotive engineering; Profit (economics); Vehicle-to-grid; Linear programming; Computer science; Electric vehicle; Smart grid; Greenhouse gas; Environmental science; Electrical engineering; Engineering; Power (physics); Economics; Microeconomics; Mathematics","score_opus":0.003784225547318363,"score_gpt":0.1900266443048826,"score_spread":0.18624241875756425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387489102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8550037,0.0004835511,0.07996285,0.00094982906,0.000077790326,0.00026962662,0.001307805,0.00039258023,0.061552346],"genre_scores_gemma":[0.9730426,0.00015593754,0.015907608,0.00006634687,0.000005534833,0.00006263577,0.00040445614,0.00002947968,0.010325476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997758,0.00006390057,0.000004388562,0.000025050778,0.000046522804,0.000084325664],"domain_scores_gemma":[0.999713,0.00015045155,0.000026655078,0.0000065098134,0.000070421134,0.00003283929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841651,0.0010029891,0.0006007897,0.00053767214,0.0007602022,0.0013403071,0.00094346056,0.00089063955,0.0035854264],"category_scores_gemma":[0.0007809868,0.0005988951,0.00048835005,0.00071278994,0.00067373447,0.0005208227,0.00062022544,0.00070881774,0.0002028347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026902282,0.000014843213,0.0003988544,0.0000064544233,0.0000041789735,0.000026784344,0.0000040968753,0.99776316,0.00011432625,0.0004932565,0.00012962757,0.0010175552],"study_design_scores_gemma":[0.000016013779,0.000026555155,0.00024214177,0.0000022078232,0.0000045915563,0.0000030380827,0.000029990262,0.99897325,0.00012994283,0.00031142336,0.0002578092,0.000002990833],"about_ca_topic_score_codex":0.47779965,"about_ca_topic_score_gemma":0.5061908,"teacher_disagreement_score":0.52220035,"about_ca_system_score_codex":0.005939239,"about_ca_system_score_gemma":0.0056448868,"threshold_uncertainty_score":0.9500371},"labels":[],"label_agreement":null},{"id":"W4387489273","doi":"10.1109/sege59172.2023.10274533","title":"A Two-Stage Optimization Framework for Electric Vehicle Fleet Day-ahead Charging Management","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Electric vehicle; Stage (stratigraphy); Fleet management; Computer science; Automotive engineering; Engineering; Telecommunications; Power (physics)","score_opus":0.008587340363557712,"score_gpt":0.23481389993002483,"score_spread":0.22622655956646712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387489273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055788686,0.00018680115,0.9899983,0.00014090423,0.000040128834,0.000055227636,0.000056115216,0.00012106504,0.0038226093],"genre_scores_gemma":[0.73329806,0.0004626937,0.25687328,0.00014141347,0.00009239314,0.0004142347,0.00025947622,0.0001385975,0.008319825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999383,0.00023267389,0.000023034627,0.00009783272,0.00013565666,0.00012782679],"domain_scores_gemma":[0.999622,0.00019440534,0.000037118305,0.000018887848,0.00009372934,0.000033868004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015700407,0.0011919229,0.0013094522,0.00041696546,0.00057539245,0.0014541424,0.001588362,0.0014097958,0.0042978064],"category_scores_gemma":[0.0011482233,0.00069729576,0.0011576457,0.0006206299,0.0005897583,0.0009690994,0.0011829963,0.0015863858,0.00040530882],"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":[0.000024935947,0.000030541498,0.00009983067,0.000031377185,0.000015867008,0.000031483414,0.00001947522,0.98556095,0.00041657887,0.0072198473,0.00044087914,0.0061082505],"study_design_scores_gemma":[0.0000040203204,0.000010807433,0.000025315434,0.0000016089434,0.000002400043,0.0000029349183,0.0000041080325,0.99856734,0.000060151135,0.0011186366,0.00020047357,0.0000021383548],"about_ca_topic_score_codex":0.0110793365,"about_ca_topic_score_gemma":0.011006287,"teacher_disagreement_score":0.0110793365,"about_ca_system_score_codex":0.0010808979,"about_ca_system_score_gemma":0.0024687836,"threshold_uncertainty_score":0.022029698},"labels":[],"label_agreement":null},{"id":"W4387573262","doi":"10.3390/en16207048","title":"Dual-Motor Dual-Source High Performance EV: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Dual (grammatical number); Powertrain; Electric motor; Computer science; Automotive engineering; Electric vehicle; Engineering; Electrical engineering; Torque; Power (physics)","score_opus":0.021752549079203425,"score_gpt":0.2559264200015015,"score_spread":0.23417387092229808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387573262","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047551206,0.9960368,0.00046729512,0.00019234589,0.00014356365,0.000010756795,0.000053491534,0.000013431256,0.002606757],"genre_scores_gemma":[0.002314582,0.9962441,0.00046175215,0.00008645831,0.0000879068,0.00000841047,0.00006840883,0.0000031318962,0.0007252762],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983215,0.00002066527,0.000026971467,0.000035814286,0.00006792152,0.000016496135],"domain_scores_gemma":[0.9996101,0.00017779742,0.000059981827,0.000011729606,0.00011803584,0.000022336477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049400015,0.0009215385,0.0010607055,0.0023748768,0.00022369775,0.0009093228,0.0007319675,0.00074922753,0.0047601624],"category_scores_gemma":[0.0006267638,0.00035801044,0.00068980415,0.0025051152,0.00018890532,0.0012537349,0.00051036227,0.0007055286,0.0016592322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007507636,0.0001311348,0.00038384713,0.057783436,0.00021455783,0.00019513909,0.000079015845,0.0018755911,0.0028545684,0.00808366,0.024036607,0.90428734],"study_design_scores_gemma":[0.0000075737494,0.000149011,0.000938148,0.007189197,0.00033737754,0.00054886506,0.000080662554,0.00041030758,0.0010884337,0.0018615188,0.987363,0.000026028445],"about_ca_topic_score_codex":0.0011427994,"about_ca_topic_score_gemma":0.0018861432,"teacher_disagreement_score":0.0047601624,"about_ca_system_score_codex":0.00031206524,"about_ca_system_score_gemma":0.0011936249,"threshold_uncertainty_score":0.015924394},"labels":[],"label_agreement":null},{"id":"W4387912955","doi":"10.1109/ict-dm58371.2023.10286958","title":"Ensuring a Resilient and Secure EV Charging Infrastructure for Sustainable Transportation","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mindset; Critical infrastructure; Greenhouse gas; Computer security; Renewable energy; Work (physics); Grid; Business; Environmental economics; Computer science; Engineering; Ecology","score_opus":0.003388234235350241,"score_gpt":0.19281385996716974,"score_spread":0.1894256257318195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387912955","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28551024,0.0033206893,0.61987144,0.012227522,0.0007284764,0.00042790337,0.0005096844,0.0018447869,0.07555933],"genre_scores_gemma":[0.965767,0.0015235796,0.028171258,0.00023261145,0.00006129404,0.00008035249,0.0001863255,0.00006697037,0.003910533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932826,0.00011339735,0.000029233512,0.00007516596,0.00023667463,0.00021726274],"domain_scores_gemma":[0.99895275,0.00018553856,0.00015128017,0.00021689794,0.00039051275,0.00010305427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008432303,0.00045945655,0.0002397856,0.00070599,0.0010228915,0.0023674807,0.00079040095,0.0014603011,0.003083582],"category_scores_gemma":[0.0023321074,0.0002992127,0.00041617698,0.00047388434,0.0009553295,0.006177613,0.00301324,0.001139051,0.00125589],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021819018,0.00027330642,0.019167705,0.0011619682,0.0001288202,0.0011965595,0.0011327107,0.2462439,0.08109185,0.32561493,0.019816862,0.30395326],"study_design_scores_gemma":[0.00002717817,0.0003768071,0.008719996,0.0005623545,0.00010774906,0.0015312878,0.004797036,0.54009193,0.056458544,0.22184987,0.16533224,0.00014503037],"about_ca_topic_score_codex":0.0016964177,"about_ca_topic_score_gemma":0.0018725048,"teacher_disagreement_score":0.003083582,"about_ca_system_score_codex":0.0010510009,"about_ca_system_score_gemma":0.0020246992,"threshold_uncertainty_score":0.010315597},"labels":[],"label_agreement":null},{"id":"W4387939670","doi":"10.2172/2203059","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Second Quarter 2023","year":2023,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electricity; Renewable energy; Electric vehicle; Transport engineering; Business; Environmental economics; Telecommunications; Engineering; Electrical engineering; Economics; Geography","score_opus":0.01540581443571699,"score_gpt":0.2501998385616606,"score_spread":0.23479402412594363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387939670","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1165793,0.0019497324,0.0022127712,0.0035031848,0.00065198273,0.000108985514,0.78706527,0.0014392613,0.08648951],"genre_scores_gemma":[0.22826813,0.0057292227,0.0039045787,0.0012035565,0.00030487872,0.00034951733,0.70791686,0.0004922823,0.051831007],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994438,0.000024082869,0.000039847167,0.00005427272,0.00033931388,0.00009869307],"domain_scores_gemma":[0.99810517,0.000084561325,0.0003661659,0.00006501381,0.0012483126,0.0001308261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005677455,0.00045199515,0.00022559329,0.0021478657,0.00033833468,0.0015289001,0.00035318194,0.00038832385,0.00609223],"category_scores_gemma":[0.0018147323,0.00022721663,0.00059253763,0.005596983,0.000081089485,0.0010278358,0.0007017811,0.00072128745,0.0056878566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013496786,0.000089554225,0.13718255,0.00044409657,0.00006600229,0.00017425478,0.0004044789,0.0019420877,0.00074347964,0.0017795162,0.77978116,0.077257924],"study_design_scores_gemma":[0.000017081573,0.00007653546,0.47630468,0.00029626934,0.00006387019,0.00034648957,0.0012569496,0.002933931,0.0028841724,0.0004811146,0.5153012,0.000037708363],"about_ca_topic_score_codex":0.11244756,"about_ca_topic_score_gemma":0.11629503,"teacher_disagreement_score":0.11244756,"about_ca_system_score_codex":0.0016787276,"about_ca_system_score_gemma":0.0021180676,"threshold_uncertainty_score":0.22358608},"labels":[],"label_agreement":null},{"id":"W4387999324","doi":"10.56131/tmt.2023.2.2.175","title":"Electric cars in Lithuania – present and future","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Electric cars; Promotion (chess); Battery (electricity); Electric vehicle; Battery electric vehicle; Automotive engineering; Transport engineering; Business; Engineering; Telecommunications; Political science; Physics","score_opus":0.0032909491316938386,"score_gpt":0.18487047073124097,"score_spread":0.18157952159954713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387999324","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07214006,0.81845486,0.0006584247,0.00925686,0.0011905766,0.00001678003,0.000344441,0.00010595551,0.09783199],"genre_scores_gemma":[0.43618646,0.49614105,0.0013095224,0.0017180367,0.0010263749,0.00002126341,0.00058227417,0.000018084665,0.06299684],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.000018997229,0.000010134193,0.000019003915,0.000031192863,0.00005951001],"domain_scores_gemma":[0.99988425,0.00002392487,0.00003369687,0.00000470955,0.00003161696,0.000021791197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020341398,0.00028246894,0.00016376424,0.0014681952,0.00046447467,0.0015445666,0.00028814812,0.00060558086,0.0066828826],"category_scores_gemma":[0.00015198824,0.000115075054,0.00019187773,0.0016824492,0.00038844233,0.0010529436,0.0006021236,0.00032458652,0.0008981276],"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":[0.00023020455,0.00015298527,0.021686617,0.004525261,0.00004447538,0.0021732885,0.0011439528,0.0022155412,0.0035636064,0.07886981,0.033368327,0.852026],"study_design_scores_gemma":[0.000007626332,0.00022662988,0.090768375,0.0022183957,0.000028983539,0.0026377132,0.002955839,0.00041161713,0.00091010873,0.0038076749,0.8959938,0.000033090644],"about_ca_topic_score_codex":0.005786676,"about_ca_topic_score_gemma":0.006034423,"teacher_disagreement_score":0.0066828826,"about_ca_system_score_codex":0.0013942171,"about_ca_system_score_gemma":0.0017868791,"threshold_uncertainty_score":0.02235645},"labels":[],"label_agreement":null},{"id":"W4388153047","doi":"10.1016/j.heliyon.2023.e21480","title":"Who decided the new energy vehicles policy in China? From the perspective of policy objects and policy makers","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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":"General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China; National Development and Reform Commission; Beijing Social Science Fund; Ministry of Industry and Information Technology of the People's Republic of China; Beijing Municipal Office of Philosophy and Social Science Planning; Stellar Astrophysics Centre; Ministry of Housing and Urban-Rural Development; Government of Alberta Ministry of Transportation; National Research Council Canada; National Education Association","keywords":"Promotion (chess); Public policy; Industrial organization; Business; Government (linguistics); Consumption (sociology); China; Perspective (graphical); Order (exchange); Policy analysis; Automotive industry; Marketing; Regional science; Economics; Economic growth; Engineering; Political science; Computer science; Public administration; Geography; Politics; Sociology","score_opus":0.004808239123091589,"score_gpt":0.22682679962259875,"score_spread":0.22201856049950716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388153047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89710516,0.0052676406,0.0008628967,0.041353147,0.00020528339,0.000094882475,0.00052539184,0.00004510368,0.05454043],"genre_scores_gemma":[0.9900259,0.0017791501,0.00019787971,0.0011877517,0.000046734694,0.0000262601,0.00016853386,0.0000069297585,0.0065609077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99737227,0.00046933256,0.00018431248,0.00033751363,0.00067707617,0.0009595206],"domain_scores_gemma":[0.99789774,0.0005889693,0.00040274856,0.000066869856,0.00053395855,0.0005095759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038497217,0.00021408996,0.0003951054,0.0024124896,0.002523914,0.0055529578,0.0007810255,0.0011500452,0.0032419886],"category_scores_gemma":[0.004186526,0.00024642356,0.0003005175,0.0036482136,0.0023728025,0.003628237,0.0016716899,0.0010025473,0.00015015563],"study_design_candidate":"qualitative","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":[0.00021007813,0.00015158976,0.35270226,0.0010053723,0.00021684573,0.0015730299,0.023532886,0.006936302,0.0015531868,0.48218638,0.019592261,0.11033988],"study_design_scores_gemma":[0.000092868555,0.00013294107,0.65549666,0.00095207646,0.00019978336,0.00023487266,0.056455016,0.0137958685,0.002126771,0.06814039,0.20215927,0.00021346316],"about_ca_topic_score_codex":0.1675811,"about_ca_topic_score_gemma":0.13458452,"teacher_disagreement_score":0.1675811,"about_ca_system_score_codex":0.023453547,"about_ca_system_score_gemma":0.031120034,"threshold_uncertainty_score":0.3332113},"labels":[],"label_agreement":null},{"id":"W4388206904","doi":"10.1109/ccece58730.2023.10288896","title":"Impact of Plug-in Electric Vehicle Charging and Roof-top PVs on Distribution Transformer Health: A Case Study in Saskatoon, Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Roof; Transformer; Plug-in; Distribution transformer; Automotive engineering; Electric vehicle; Electrical engineering; Spark plug; Environmental science; Engineering; Computer science; Aerospace engineering; Physics; Voltage; Civil engineering","score_opus":0.007087811800299278,"score_gpt":0.24295900136104542,"score_spread":0.23587118956074615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388206904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891362,0.00012360817,0.000883007,0.00030279803,0.0000105057015,0.00008746511,0.0009864658,0.000036374746,0.008433551],"genre_scores_gemma":[0.9958341,0.00020600024,0.0006327528,0.000051010476,0.0000015013272,0.000012445531,0.00027542413,0.000009050976,0.0029776602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994893,0.00007832871,0.000016581658,0.000049003072,0.00014504405,0.00022176199],"domain_scores_gemma":[0.99913305,0.00021443507,0.0000563616,0.000027895268,0.00040768835,0.00016063293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036474023,0.0005080582,0.00030157514,0.0007009997,0.002410536,0.0014923221,0.0010836945,0.0006487726,0.0020286322],"category_scores_gemma":[0.0007453731,0.00022434621,0.00046481125,0.001602429,0.0012975921,0.0003667993,0.0008460226,0.00063169876,0.00019373228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00114835,0.0009987776,0.55098206,0.00065419433,0.00041885686,0.052034084,0.008696672,0.2736519,0.022480808,0.010879263,0.014592815,0.06346218],"study_design_scores_gemma":[0.00030717588,0.0005838832,0.57433105,0.00032643083,0.00044174388,0.0037789098,0.116834946,0.2635302,0.014584809,0.0028309557,0.022075254,0.00037463903],"about_ca_topic_score_codex":0.9819225,"about_ca_topic_score_gemma":0.991574,"teacher_disagreement_score":0.025490986,"about_ca_system_score_codex":0.025490986,"about_ca_system_score_gemma":0.023491971,"threshold_uncertainty_score":0.18495089},"labels":[],"label_agreement":null},{"id":"W4388239411","doi":"10.2139/ssrn.4621048","title":"A Novel Synergy Mechanism for Smart Transportation System in Smart Cities","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mechanism (biology); Smart city; Business; Computer science; Transport engineering; Internet of Things; Computer security; Engineering","score_opus":0.008981494102669641,"score_gpt":0.20325049346153243,"score_spread":0.1942689993588628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388239411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19162768,0.0011348163,0.7131873,0.0026019434,0.0010432348,0.00025002856,0.00041877857,0.001201162,0.08853509],"genre_scores_gemma":[0.956746,0.0002943131,0.02880373,0.00016678098,0.00014485237,0.00012160533,0.00009329727,0.000054032997,0.01357538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958664,0.00009331077,0.000024759012,0.000106144435,0.0000854188,0.00010369816],"domain_scores_gemma":[0.99932003,0.0001811482,0.00008395333,0.00017702651,0.00011839024,0.00011935361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005511748,0.00043036323,0.00073206093,0.000814759,0.0012453782,0.0016690699,0.0014165909,0.0016209771,0.01820979],"category_scores_gemma":[0.0013473916,0.00029822247,0.00083064684,0.00068656163,0.0010073147,0.0040451833,0.0026623,0.0010356595,0.0014562516],"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":[0.00018728944,0.00008450124,0.00047943028,0.00013240693,0.00005618372,0.00047212027,0.0002504788,0.025268996,0.014202958,0.9358487,0.004740307,0.018276624],"study_design_scores_gemma":[0.00013001905,0.00021924808,0.0005785641,0.000039184077,0.00006716125,0.000569518,0.00028532144,0.34878427,0.005165671,0.6284836,0.01560681,0.000070639115],"about_ca_topic_score_codex":0.00048752056,"about_ca_topic_score_gemma":0.00037580688,"teacher_disagreement_score":0.01820979,"about_ca_system_score_codex":0.00050613395,"about_ca_system_score_gemma":0.00064179645,"threshold_uncertainty_score":0.060917795},"labels":[],"label_agreement":null},{"id":"W4388566240","doi":"10.18280/ijsse.130503","title":"Bibliometric Analysis of Electric Vehicle Adoption Research: Trends, Implications, and Future Directions","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human factors and ergonomics; Transport engineering; Poison control; Computer science; Regional science; Engineering; Geography; Environmental health; Medicine","score_opus":0.01413739329238981,"score_gpt":0.27682189447032074,"score_spread":0.2626845011779309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388566240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5387053,0.2572363,0.01472604,0.036761563,0.0013470327,0.00087029464,0.0618735,0.00083451206,0.08764551],"genre_scores_gemma":[0.851945,0.108199075,0.012902969,0.0009973528,0.00079491024,0.0006905062,0.021630095,0.00009785786,0.0027423399],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98429894,0.0031033317,0.0038312352,0.0012093683,0.0068842247,0.00067296304],"domain_scores_gemma":[0.89018476,0.06138359,0.017353654,0.0028553344,0.026775746,0.0014469634],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.012683919,0.00054148515,0.0014754001,0.09726351,0.0013056701,0.00805332,0.0010480168,0.0006817845,0.0027307486],"category_scores_gemma":[0.064493775,0.00024333932,0.0011548162,0.2329469,0.0009750526,0.007078697,0.0017436717,0.0008048736,0.00063041673],"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":[0.00011356386,0.00014908325,0.44890675,0.022642538,0.0010540972,0.00049558963,0.005720897,0.001087273,0.0010252759,0.014247171,0.027767206,0.4767906],"study_design_scores_gemma":[0.000025933583,0.00012686665,0.77133095,0.01563612,0.0011716973,0.00130641,0.02564492,0.005146307,0.0016322525,0.012850495,0.16496444,0.0001636944],"about_ca_topic_score_codex":0.010034912,"about_ca_topic_score_gemma":0.018413933,"teacher_disagreement_score":0.9027365,"about_ca_system_score_codex":0.0034805785,"about_ca_system_score_gemma":0.0078225145,"threshold_uncertainty_score":0.06707972},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4388575878","doi":"10.1016/j.jclepro.2023.139692","title":"Lightweighting electric vehicles: Scoping review of life cycle assessments","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Natural Resources Canada","keywords":"Life-cycle assessment; Truck; Electric vehicle; Battery (electricity); Resource (disambiguation); Automotive engineering; Green vehicle; Computer science; Production (economics); Engineering; Fuel efficiency","score_opus":0.012190355346719446,"score_gpt":0.2719229295510754,"score_spread":0.2597325742043559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388575878","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025406564,0.99294066,0.0013756719,0.0005730704,0.00016019234,0.00022924948,0.00053826976,0.000021854483,0.0016202956],"genre_scores_gemma":[0.01974616,0.9763633,0.0020996179,0.00037511403,0.00010419909,0.0003101908,0.0005868512,0.000019562674,0.0003949552],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903459,0.0028277051,0.0029001948,0.0007893127,0.002844096,0.00029270112],"domain_scores_gemma":[0.9223493,0.04660246,0.010033961,0.0022651216,0.018340481,0.00040861155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027753616,0.0021337545,0.003341495,0.018594807,0.0008504692,0.004733839,0.0024680335,0.0020763306,0.0022266114],"category_scores_gemma":[0.06885195,0.0010264864,0.0042583197,0.013181233,0.0012850013,0.00401261,0.0022713384,0.0013605425,0.00047205054],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038333336,0.00016263322,0.0026823878,0.3246774,0.0037739214,0.00010115359,0.00081403507,0.0024377136,0.0017202287,0.0025786052,0.006134457,0.6545341],"study_design_scores_gemma":[0.000060939037,0.00073849864,0.008973572,0.7674447,0.017157072,0.00030567634,0.0013902424,0.0013019567,0.004047467,0.004603888,0.19385843,0.000117518095],"about_ca_topic_score_codex":0.011789436,"about_ca_topic_score_gemma":0.024251193,"teacher_disagreement_score":0.027753616,"about_ca_system_score_codex":0.0038249453,"about_ca_system_score_gemma":0.015580831,"threshold_uncertainty_score":0.14677691},"labels":[],"label_agreement":null},{"id":"W4388669186","doi":"10.1049/itr2.12439","title":"Optimal dispatch of a mobile storage unit to support electric vehicles charging stations","year":2023,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Windsor","funders":"","keywords":"Electrification; Electricity; Energy storage; Peaking power plant; Grid; Renewable energy; Capital cost; Engineering; Computer science; Operations research; Reliability engineering; Automotive engineering; Power (physics); Distributed generation; Electrical engineering","score_opus":0.014973787778918468,"score_gpt":0.24037577129339568,"score_spread":0.2254019835144772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388669186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46648952,0.00077382306,0.49768376,0.0007569294,0.00039457975,0.00034697363,0.00043129423,0.0004915059,0.032631613],"genre_scores_gemma":[0.99004364,0.000049083763,0.007917866,0.000014132674,0.000010696121,0.000037124082,0.000037833117,0.000008530057,0.00188119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997843,0.00007308733,0.000009621585,0.000034000892,0.000036706868,0.000062259845],"domain_scores_gemma":[0.99980444,0.00006246456,0.000030136427,0.0000097384755,0.00004863817,0.00004465299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975341,0.00077177666,0.00074184657,0.00043068925,0.00049606763,0.0011741958,0.00063013204,0.00074543315,0.004141891],"category_scores_gemma":[0.0005268935,0.00032265173,0.00040340115,0.00039614935,0.0003368001,0.00040414618,0.00048061207,0.0005494582,0.00030319736],"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":[0.00023451545,0.000042962118,0.0004248527,0.00005511413,0.000023541883,0.00018495168,0.000023359502,0.9838594,0.00285463,0.0029668496,0.0010290962,0.008300696],"study_design_scores_gemma":[0.000014023833,0.000057703648,0.0001125422,0.0000027297347,0.000006033543,0.000007994693,0.00001623577,0.99857044,0.0004346484,0.0004563792,0.0003179093,0.0000032960502],"about_ca_topic_score_codex":0.006938428,"about_ca_topic_score_gemma":0.0055300333,"teacher_disagreement_score":0.006938428,"about_ca_system_score_codex":0.0010378704,"about_ca_system_score_gemma":0.0010280262,"threshold_uncertainty_score":0.013856053},"labels":[],"label_agreement":null},{"id":"W4388740357","doi":"10.1109/tsg.2023.3333789","title":"Machine Learning-Based Control of Electric Vehicle Charging for Practical Distribution Systems With Solar Generation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"University of Waterloo","keywords":"Photovoltaic system; Software deployment; Smart grid; Grid; Transformer; Computer science; Controller (irrigation); Electric vehicle; Distribution grid; Automotive engineering; Low voltage; State of charge; Reinforcement learning; Voltage; Control engineering; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.0103314924464923,"score_gpt":0.2144053388998879,"score_spread":0.2040738464533956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388740357","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100918904,0.000417621,0.8842703,0.0007508587,0.0001147455,0.00011532066,0.00007220865,0.0006195344,0.012720522],"genre_scores_gemma":[0.9925222,0.00005125057,0.00580051,0.00004556842,0.000013133771,0.000036300564,0.000021895956,0.000010987699,0.0014981654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997049,0.00008092459,0.000012890875,0.00006927671,0.0000684386,0.00006365585],"domain_scores_gemma":[0.9992974,0.00037881976,0.00010213513,0.00002857279,0.00016055917,0.000032558037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087801646,0.0005673276,0.0006124303,0.00022009856,0.00034162644,0.0008608846,0.00066359615,0.00059904973,0.0016194137],"category_scores_gemma":[0.001957395,0.00030502016,0.00031808566,0.00019302536,0.00069817883,0.00041176527,0.0006242546,0.0009019446,0.00021700827],"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":[0.00002749123,0.00002110203,0.0002421591,0.00001922104,0.000007687283,0.00002157009,0.00001488916,0.99172103,0.00048918085,0.0009650293,0.0001827836,0.0062878504],"study_design_scores_gemma":[0.0000031667807,0.000008876578,0.00004529761,0.00000118704,9.535998e-7,0.0000019258082,0.0000014975557,0.9996025,0.000078596204,0.0001970536,0.000058148635,8.857463e-7],"about_ca_topic_score_codex":0.012495799,"about_ca_topic_score_gemma":0.010972646,"teacher_disagreement_score":0.012495799,"about_ca_system_score_codex":0.001058631,"about_ca_system_score_gemma":0.0010960434,"threshold_uncertainty_score":0.024846077},"labels":[],"label_agreement":null},{"id":"W4388806861","doi":"10.20906/cba2022/3442","title":"Avaliação crítica de inserção de eletropostos em redes de distribuição considerando mitigação por agendamento de recargas","year":2022,"lang":"pt","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Groundwater recharge; Electric power system; Monte Carlo method; Schedule; Computer science; Scheduling (production processes); Power grid; Grid; Reliability engineering; Environmental science; Engineering; Power (physics); Mathematical optimization; Mathematics; Statistics; Operating system","score_opus":0.013860314397727825,"score_gpt":0.25157719381656923,"score_spread":0.2377168794188414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388806861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8398049,0.014881657,0.05545559,0.014957138,0.0004625971,0.00053913705,0.00022138444,0.0009209567,0.07275663],"genre_scores_gemma":[0.9851163,0.002302506,0.009436937,0.0002975823,0.00008414846,0.000050950206,0.000043641365,0.00004502871,0.0026229047],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9876345,0.0064529814,0.00044510837,0.0008330785,0.003935894,0.0006983564],"domain_scores_gemma":[0.9279743,0.049172696,0.006326629,0.0037885795,0.011704119,0.0010336688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013668396,0.00061975594,0.00049879897,0.0018738161,0.0009848535,0.0030234063,0.0020768049,0.0017079959,0.0038292282],"category_scores_gemma":[0.07287581,0.00035926473,0.0005643142,0.0015002842,0.0014223326,0.002790177,0.0011602622,0.0012410802,0.000674906],"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":[0.00134524,0.0007617209,0.07825433,0.0023981805,0.00041629164,0.00056211697,0.004537694,0.06547248,0.008520767,0.026932199,0.0048570083,0.80594194],"study_design_scores_gemma":[0.00086090376,0.0117416745,0.23119166,0.008932373,0.0030663423,0.0022711817,0.04428112,0.2848213,0.052473202,0.043373734,0.31650248,0.0004839823],"about_ca_topic_score_codex":0.011256305,"about_ca_topic_score_gemma":0.015260878,"teacher_disagreement_score":0.013668396,"about_ca_system_score_codex":0.0027325752,"about_ca_system_score_gemma":0.0027192377,"threshold_uncertainty_score":0.07228631},"labels":[],"label_agreement":null},{"id":"W4388854630","doi":"10.1109/tte.2023.3335168","title":"Electric-Vehicle Charging Station Optimization in Power-Traffic Coupled Networks: Problem Formulations and a Three-Stage Iterative Algorithm","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Sizing; Electric vehicle; Software deployment; Iterative method; Quality of service; Traffic flow (computer networking); Flow network; Power (physics); Algorithm; Mathematical optimization; Automotive engineering; Engineering; Computer network; Mathematics","score_opus":0.006545131607313237,"score_gpt":0.2094470278219691,"score_spread":0.20290189621465587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388854630","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009089692,0.000249134,0.98471826,0.00017751502,0.000029910498,0.00014786389,0.00005750452,0.0002121596,0.0053180507],"genre_scores_gemma":[0.36767676,0.00058443466,0.6237366,0.0002341056,0.00007421762,0.0011889177,0.00032168793,0.00016756794,0.006015656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994885,0.000212482,0.000023770739,0.000084695166,0.0001084625,0.00008203998],"domain_scores_gemma":[0.99842334,0.0011584258,0.000094085226,0.00004929504,0.00022068688,0.00005427597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931688,0.0014536108,0.001497391,0.00075888267,0.000563911,0.0013754482,0.0018636165,0.0022481466,0.0035701662],"category_scores_gemma":[0.003431022,0.00093106227,0.0012979723,0.0011890851,0.0008796385,0.0008261805,0.0018792982,0.0015728171,0.0006350917],"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":[0.000018682118,0.000025231844,0.00018956179,0.000042934484,0.0000119860215,0.00004847372,0.000028824878,0.9879497,0.00020838618,0.0034771843,0.00035634017,0.0076427404],"study_design_scores_gemma":[0.000007917532,0.000009915733,0.000025669542,0.0000051147463,0.0000031188447,0.000006653497,0.00000920111,0.998528,0.00008123162,0.0011073907,0.00021313183,0.0000026532273],"about_ca_topic_score_codex":0.014473928,"about_ca_topic_score_gemma":0.009819173,"teacher_disagreement_score":0.014473928,"about_ca_system_score_codex":0.0011332926,"about_ca_system_score_gemma":0.0025948836,"threshold_uncertainty_score":0.028779328},"labels":[],"label_agreement":null},{"id":"W4388888810","doi":"10.1016/j.trc.2023.104411","title":"Dynamic routing for the Electric Vehicle Shortest Path Problem with charging station occupancy information","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Group for Research in Decision Analysis","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Shortest path problem; Charging station; Electric vehicle; Markov decision process; Routing (electronic design automation); Computer science; Occupancy; Queue; Battery (electricity); Dijkstra's algorithm; Mathematical optimization; Real-time computing; Markov process; Computer network; Engineering; Mathematics; Physics","score_opus":0.018644599730643186,"score_gpt":0.2836045077326228,"score_spread":0.2649599080019796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388888810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11931435,0.00080271956,0.8552689,0.00226279,0.00025124493,0.0002749034,0.0022216195,0.0005497216,0.019053785],"genre_scores_gemma":[0.89327073,0.00056912965,0.08832854,0.00015500163,0.00014253541,0.00018848617,0.0017685179,0.00017085893,0.015406148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991848,0.00022441767,0.0000305546,0.00023731933,0.00013606739,0.00018681223],"domain_scores_gemma":[0.9985104,0.00098593,0.00017613806,0.000089238754,0.00013184686,0.00010639948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011102066,0.0010368677,0.0016441357,0.0009386489,0.0007733193,0.0018717634,0.0023004506,0.001461712,0.0061587826],"category_scores_gemma":[0.004073843,0.0010060268,0.00091651676,0.0017219525,0.00073497515,0.0025969383,0.0013401512,0.001292687,0.00044989533],"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":[0.00013809794,0.000070969465,0.00035603784,0.000099562836,0.00003231389,0.000069552145,0.00003827428,0.96580094,0.00054369675,0.017584398,0.002531244,0.012734985],"study_design_scores_gemma":[0.000015466501,0.000026664758,0.00012612373,0.0000054676093,0.000009465327,0.00002443659,0.000023833984,0.9877067,0.000144511,0.011147474,0.0007614894,0.000008279695],"about_ca_topic_score_codex":0.009246689,"about_ca_topic_score_gemma":0.008903011,"teacher_disagreement_score":0.009246689,"about_ca_system_score_codex":0.002304121,"about_ca_system_score_gemma":0.00204771,"threshold_uncertainty_score":0.02060312},"labels":[],"label_agreement":null},{"id":"W4388890070","doi":"10.47749/t/unicamp.2021.1162169","title":"Investigação do impacto da recarga de veículos elétricos na qualidade de energia de redes de distribuição de energia elétrica via análise de dados de medição","year":2021,"lang":"pt","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Privy Council Office","funders":"","keywords":"Humanities; Philosophy; Physics","score_opus":0.00964592825422132,"score_gpt":0.2556794183378207,"score_spread":0.2460334900835994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388890070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97799015,0.0008993197,0.008786205,0.0003228209,0.000034922356,0.00008233459,0.0003646878,0.00009745061,0.011422026],"genre_scores_gemma":[0.99033195,0.00069262646,0.005497414,0.00003472511,0.000009397179,0.000022763752,0.00015139862,0.000019706285,0.0032400056],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99849236,0.00041397047,0.00007690683,0.00021814252,0.00069424795,0.000104322426],"domain_scores_gemma":[0.9920259,0.004435397,0.00085333356,0.00055669236,0.002004451,0.00012414106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022376827,0.00034353032,0.0003844394,0.000956288,0.000376175,0.0017855037,0.0006048451,0.00075961446,0.0032745774],"category_scores_gemma":[0.007025714,0.00021905177,0.0005709594,0.0011078402,0.0004926682,0.0014153079,0.00050284504,0.0004498741,0.00046369492],"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":[0.0020762442,0.0012049464,0.2099198,0.0025778345,0.00047059893,0.000604886,0.007948697,0.040642194,0.1545355,0.0062808725,0.0020595358,0.5716789],"study_design_scores_gemma":[0.0001349208,0.0078088664,0.6269275,0.0011346608,0.0011228736,0.00075763464,0.02666796,0.067358024,0.21543692,0.0053350837,0.047098093,0.00021749335],"about_ca_topic_score_codex":0.0052858023,"about_ca_topic_score_gemma":0.006709969,"teacher_disagreement_score":0.0052858023,"about_ca_system_score_codex":0.0009988595,"about_ca_system_score_gemma":0.000685938,"threshold_uncertainty_score":0.011834085},"labels":[],"label_agreement":null},{"id":"W4389047975","doi":"10.3390/en16237805","title":"Joint Multi-Objective Allocation of Parking Lots and DERs in Active Distribution Network Considering Demand Response Programs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Université Laval","funders":"Université Laval","keywords":"Renewable energy; Distributed generation; Software deployment; Demand response; Grid; Particle swarm optimization; Engineering; Computer science; Electricity; Electrical engineering","score_opus":0.013236159524633539,"score_gpt":0.21744851196146975,"score_spread":0.20421235243683622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389047975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4938445,0.00096238713,0.487034,0.00079282233,0.000101127946,0.00027477735,0.0003566651,0.00025641284,0.01637717],"genre_scores_gemma":[0.9874135,0.0001378561,0.010225905,0.0000426173,0.00001449711,0.000076543714,0.0000679452,0.00001635129,0.0020047743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995541,0.00022628967,0.000013089605,0.00006293091,0.000044968347,0.00009859661],"domain_scores_gemma":[0.99885166,0.0007575078,0.00012558201,0.000018542523,0.0001481986,0.00009842495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124914,0.0012451825,0.0011853426,0.00066183176,0.00036879827,0.0014477727,0.00081354874,0.0011723349,0.0020129967],"category_scores_gemma":[0.0016533085,0.0006329933,0.0006265022,0.00064602686,0.0006319435,0.0008019586,0.000687961,0.0006816955,0.00012812774],"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":[0.000037660986,0.000018627296,0.00027073277,0.000019323346,0.000013180657,0.00004539703,0.000008644342,0.99747986,0.00014030143,0.00053850905,0.00010391275,0.0013238513],"study_design_scores_gemma":[0.0000057541224,0.000018718094,0.00010379813,0.0000020086034,0.0000062112795,0.0000034933116,0.00001434334,0.9994506,0.00005362079,0.0002917942,0.000047890266,0.000001643789],"about_ca_topic_score_codex":0.010219955,"about_ca_topic_score_gemma":0.007694383,"teacher_disagreement_score":0.010219955,"about_ca_system_score_codex":0.0012458379,"about_ca_system_score_gemma":0.0011485104,"threshold_uncertainty_score":0.020320952},"labels":[],"label_agreement":null},{"id":"W4389138937","doi":"10.2139/ssrn.4648100","title":"The Impact of Heavy Truck Electrification on Greenhouse Gas Emissions in Ontario, Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Truck; Greenhouse gas; Electrification; Environmental science; Environmental protection; Natural resource economics; Waste management; Engineering; Electricity; Economics; Automotive engineering; Ecology","score_opus":0.00834339276384404,"score_gpt":0.22286140270805324,"score_spread":0.2145180099442092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389138937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9346149,0.0014961218,0.0002927432,0.0046145935,0.000061026745,0.00006211678,0.010184412,0.000038706665,0.04863548],"genre_scores_gemma":[0.9736875,0.0013578429,0.00019810876,0.00020564618,0.000009560859,0.000012918965,0.0014266224,0.000016907808,0.023084838],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992939,0.00004699237,0.000023186893,0.000050745246,0.0002590036,0.00032616648],"domain_scores_gemma":[0.9982748,0.00015393547,0.00012721006,0.000025939775,0.0011609198,0.00025717536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514465,0.0003094247,0.00033693883,0.0008857779,0.0029036643,0.0019520452,0.000676632,0.0005637406,0.0050030584],"category_scores_gemma":[0.0014428048,0.00025258932,0.00055484654,0.0024831707,0.00082042796,0.0005836689,0.0008182809,0.0006607097,0.00027375037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011143361,0.00021815217,0.85208803,0.00064374105,0.00038638277,0.0023155834,0.0064003943,0.024451068,0.003837037,0.015585087,0.048165426,0.044794805],"study_design_scores_gemma":[0.000041517615,0.000044844608,0.95514536,0.000108168664,0.00009676003,0.000077967976,0.010140494,0.004301822,0.0006357798,0.00065731705,0.028697388,0.00005262176],"about_ca_topic_score_codex":0.99941134,"about_ca_topic_score_gemma":0.99978346,"teacher_disagreement_score":0.076548494,"about_ca_system_score_codex":0.076548494,"about_ca_system_score_gemma":0.08219919,"threshold_uncertainty_score":0.5554008},"labels":[],"label_agreement":null},{"id":"W4389248265","doi":"10.3390/wevj14120333","title":"Assessment of the On-Road Performance of Hybrid Electric Vehicles (HEVs) and Electric Vehicles (EVs) in Urban Road Conditions in the Philippines","year":2023,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payload (computing); Automotive engineering; Fuel efficiency; Green vehicle; Driving cycle; Energy consumption; Work (physics); Engineering; Transport engineering; Electric vehicle; Environmental science; Computer science; Power (physics)","score_opus":0.0070309155007049675,"score_gpt":0.22989698413113716,"score_spread":0.22286606863043218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389248265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998648,0.000097463715,0.00032955204,0.000007988104,0.0000025099944,0.0000164768,0.0000963388,0.000009870814,0.00079192425],"genre_scores_gemma":[0.9988632,0.00013711725,0.000289846,0.0000069596967,0.0000022837614,0.000015240686,0.00022144604,0.000006235759,0.0004577278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994462,0.00013835487,0.00003561141,0.000108548345,0.00019002506,0.00008118204],"domain_scores_gemma":[0.9990747,0.00011412139,0.0001889142,0.000056849756,0.00049545465,0.00006991233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062647444,0.00068879087,0.00033433054,0.0007094649,0.00042196814,0.00068678375,0.0005018959,0.00039423272,0.0009132352],"category_scores_gemma":[0.00080556533,0.00016523489,0.0002940934,0.00048551784,0.00034214454,0.000690128,0.00052841293,0.00026666874,0.0003295527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014844667,0.0018672256,0.6811997,0.0013861608,0.0005350482,0.0022801298,0.0047853296,0.028405782,0.15238985,0.00052674656,0.00086247345,0.124277115],"study_design_scores_gemma":[0.000015206982,0.004877111,0.9309369,0.00007185219,0.00019806322,0.00041139615,0.00841517,0.011580078,0.040230162,0.00015226116,0.0030372343,0.00007459997],"about_ca_topic_score_codex":0.014747101,"about_ca_topic_score_gemma":0.021919424,"teacher_disagreement_score":0.014747101,"about_ca_system_score_codex":0.00054760324,"about_ca_system_score_gemma":0.00045000986,"threshold_uncertainty_score":0.029322565},"labels":[],"label_agreement":null},{"id":"W4389329871","doi":"10.1155/2023/6674586","title":"Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sungshin Women’s University","keywords":"Truck; Vehicle-to-grid; Grid; Automotive engineering; Electric vehicle; Vehicle routing problem; Engineering; Routing (electronic design automation); Transport engineering; Computer science; Power (physics); Embedded system","score_opus":0.004102643084931577,"score_gpt":0.20198625659747813,"score_spread":0.19788361351254655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389329871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15825479,0.00070178916,0.8274116,0.0005439169,0.000119827186,0.00014711374,0.0001873025,0.000307161,0.012326554],"genre_scores_gemma":[0.9748267,0.00024658514,0.021539232,0.000042168525,0.000013540316,0.00004762529,0.000053528784,0.000045344925,0.0031851062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995715,0.00015975023,0.000015250038,0.000068022746,0.00006962604,0.00011592421],"domain_scores_gemma":[0.9995067,0.0003093259,0.00007352278,0.000018913932,0.000047289952,0.00004417368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077942514,0.0010888848,0.0010703417,0.00041050088,0.00033698816,0.0014031703,0.0008778931,0.00078879565,0.002566968],"category_scores_gemma":[0.001618096,0.00065879006,0.0007108201,0.0007391593,0.00054209144,0.0013466168,0.0008143139,0.0008493169,0.00018225901],"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":[0.000021538614,0.0000108255235,0.00007706222,0.000011196273,0.0000071699205,0.000015163154,0.0000041230364,0.99616927,0.0002497702,0.0014058361,0.00010553076,0.0019226215],"study_design_scores_gemma":[0.0000048324546,0.000014822227,0.000036196467,0.0000011973822,0.0000034593747,0.0000039248107,0.000006958383,0.9988746,0.00010264898,0.00086529134,0.00008427184,0.0000018086224],"about_ca_topic_score_codex":0.010260512,"about_ca_topic_score_gemma":0.0076211095,"teacher_disagreement_score":0.010260512,"about_ca_system_score_codex":0.0014016958,"about_ca_system_score_gemma":0.0014829019,"threshold_uncertainty_score":0.020401597},"labels":[],"label_agreement":null},{"id":"W4389382299","doi":"10.23860/thesis-colandre-camila-2023","title":"ELECTRIC VEHICLE CHARGING UTILIZATION IN DISADVANTAGED AND NON-DISADVANTAGED COMMUNITIES","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Quarter (Canadian coin); Installation; Environmental economics; Electric vehicle; Transport engineering; Distribution (mathematics); Business; Engineering; Economic growth; Economics; Geography; Power (physics); Physics; Mathematics","score_opus":0.010461971063790456,"score_gpt":0.2468331292014838,"score_spread":0.23637115813769333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389382299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991358,0.000039087405,0.000059558835,0.000047870424,0.0000016889339,0.000010900113,0.000070798735,9.762679e-7,0.0006334391],"genre_scores_gemma":[0.9995952,0.000047500846,0.00009546602,0.000019404366,0.0000014660341,0.000014758192,0.000067940215,0.0000010412249,0.00015731102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994079,0.00018678409,0.000037519058,0.00011388196,0.000080111604,0.00017382969],"domain_scores_gemma":[0.9991799,0.0001691683,0.00023974584,0.000040076287,0.00017433982,0.0001966902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068991067,0.0001955391,0.00025986266,0.0014465208,0.001213311,0.0009191718,0.00046080066,0.00043057656,0.0018858551],"category_scores_gemma":[0.0033695176,0.00016003716,0.0005817503,0.0013380725,0.00056331983,0.00090822915,0.0018540105,0.00039979312,0.00014265884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014213381,0.00016590492,0.97672343,0.000040362134,0.000052336996,0.000277697,0.008293838,0.0003235239,0.0002720712,0.0005970063,0.00028632002,0.012825373],"study_design_scores_gemma":[0.000008034628,0.00013415833,0.9702031,0.00006385541,0.000038875736,0.00030205864,0.025535883,0.0024213416,0.00013894188,0.00043990163,0.0006926299,0.000021162368],"about_ca_topic_score_codex":0.10382835,"about_ca_topic_score_gemma":0.13710086,"teacher_disagreement_score":0.10382835,"about_ca_system_score_codex":0.0012456913,"about_ca_system_score_gemma":0.0011848335,"threshold_uncertainty_score":0.20644796},"labels":[],"label_agreement":null},{"id":"W4389489622","doi":"10.1007/978-3-031-49611-0_25","title":"Dynamic Programming for the Fixed Route Hybrid Electric Aircraft Charging Problem","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada); Université Laval","funders":"","keywords":"Computer science; Heuristics; Dynamic programming; Mathematical optimization; Scheduling (production processes); Greedy algorithm; Algorithm; Mathematics","score_opus":0.007735479143347628,"score_gpt":0.21027130711482567,"score_spread":0.20253582797147804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389489622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020297367,0.001129529,0.9198157,0.0016080597,0.00021679325,0.00011257902,0.0003589399,0.0001679968,0.05629311],"genre_scores_gemma":[0.7432854,0.0023326983,0.16763288,0.0006409087,0.00044102562,0.0006338897,0.0008510206,0.00031293207,0.08386924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996014,0.00015790525,0.0000094956995,0.00008106721,0.00006901318,0.00008110998],"domain_scores_gemma":[0.9991861,0.00062651344,0.000046214293,0.000020417467,0.00006769295,0.00005308256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008135716,0.0011329185,0.0012524651,0.00052527833,0.00045012205,0.0017713147,0.0015407064,0.0016692224,0.012159765],"category_scores_gemma":[0.0025756974,0.00067305355,0.00078454445,0.0009307581,0.0009710172,0.001538049,0.0012435225,0.0022657877,0.00084437046],"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":[0.000108520566,0.00010988138,0.00022262154,0.00020293404,0.000044178243,0.0001241041,0.00006573392,0.8028369,0.00064307806,0.1548725,0.010040883,0.030728698],"study_design_scores_gemma":[0.000029570698,0.00003432738,0.00009529893,0.000025251005,0.000008748078,0.000033453423,0.000040320756,0.9109921,0.00013410907,0.085475534,0.0031198708,0.000011418855],"about_ca_topic_score_codex":0.0057035596,"about_ca_topic_score_gemma":0.0036836101,"teacher_disagreement_score":0.012159765,"about_ca_system_score_codex":0.0016374462,"about_ca_system_score_gemma":0.0013929867,"threshold_uncertainty_score":0.04067844},"labels":[],"label_agreement":null},{"id":"W4389538753","doi":"10.1109/tits.2023.3337324","title":"A Data-Driven Framework for Improving Public EV Charging Infrastructure: Modeling and Forecasting","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Hydro-Québec","keywords":"Provisioning; Computer science; Sustainability; Quality of experience; Work (physics); Quality of service; Risk analysis (engineering); Telecommunications; Engineering; Business","score_opus":0.05574729426024826,"score_gpt":0.2607536616532816,"score_spread":0.20500636739303335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389538753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031750694,0.0007840207,0.958266,0.0015355696,0.00015806367,0.00010904838,0.0010614322,0.00066298817,0.005672166],"genre_scores_gemma":[0.88725954,0.0013500226,0.10589353,0.00020566086,0.0001628344,0.00029497597,0.0014857573,0.00009621378,0.0032513072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995615,0.00012968633,0.00002820422,0.0001095095,0.00010346806,0.00006762157],"domain_scores_gemma":[0.9990671,0.0004718205,0.00011061067,0.000060177565,0.00023223973,0.000058046422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014238775,0.0010709985,0.0008964186,0.00084104843,0.0004170036,0.0018917865,0.002051012,0.0018633272,0.001475263],"category_scores_gemma":[0.0032293887,0.0005837821,0.00080317387,0.0011254397,0.0005421995,0.0016968214,0.001080361,0.0019215991,0.00032954896],"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":[0.000008048749,0.000011296776,0.00040243767,0.000015808073,0.0000074654313,0.000018316972,0.000011632831,0.9927499,0.00011231651,0.0032252066,0.00029599192,0.0031414863],"study_design_scores_gemma":[9.611525e-7,0.0000029412865,0.000047522826,0.0000032645871,0.0000014824033,0.0000025913087,0.000005314404,0.99804735,0.000039531827,0.0016165666,0.00022999775,0.0000024090848],"about_ca_topic_score_codex":0.027675737,"about_ca_topic_score_gemma":0.01589537,"teacher_disagreement_score":0.027675737,"about_ca_system_score_codex":0.0015127294,"about_ca_system_score_gemma":0.0017991627,"threshold_uncertainty_score":0.055029333},"labels":[],"label_agreement":null},{"id":"W4389685701","doi":"10.1038/s41467-023-43924-6","title":"A resilient battery electric bus transit system configuration","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Advanced Technology Research Council","keywords":"Battery (electricity); Computer science; Automotive engineering; Engineering; Physics; Power (physics)","score_opus":0.008340023390593372,"score_gpt":0.22976212977044982,"score_spread":0.22142210637985646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389685701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28862953,0.00042014764,0.64558506,0.0013967414,0.00014639016,0.0006099299,0.0019264345,0.0020835097,0.05920225],"genre_scores_gemma":[0.9840209,0.00008793357,0.011197335,0.00003867721,0.000008570409,0.00009314956,0.00017087662,0.000045109362,0.004337457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996835,0.00007355599,0.000011305872,0.00007995148,0.000065040396,0.00008665327],"domain_scores_gemma":[0.99977773,0.00004990159,0.000040230847,0.00003228585,0.00006415049,0.00003564157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031065496,0.0008762338,0.00047595776,0.00047486354,0.0005479625,0.0011035884,0.0014297917,0.0010502492,0.006758766],"category_scores_gemma":[0.0007519603,0.0004609975,0.000625914,0.00033153233,0.0004997027,0.0013245706,0.0010588957,0.000990893,0.0005996564],"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":[0.000042745392,0.000016095823,0.00024067286,0.00002239486,0.00000849283,0.00010813074,0.000016381648,0.9909889,0.0013569822,0.0031922022,0.00043564267,0.0035713548],"study_design_scores_gemma":[0.000013810533,0.00006505198,0.00020860613,0.000004861759,0.000013428779,0.00004124896,0.000030264213,0.9958105,0.0006324497,0.002287767,0.00088210404,0.000009973323],"about_ca_topic_score_codex":0.009578307,"about_ca_topic_score_gemma":0.007728971,"teacher_disagreement_score":0.009578307,"about_ca_system_score_codex":0.0011836011,"about_ca_system_score_gemma":0.0013953036,"threshold_uncertainty_score":0.022610366},"labels":[],"label_agreement":null},{"id":"W4389781398","doi":"10.3390/en16248086","title":"Comparative Analysis and Optimal Operation of an On-Grid and Off-Grid Solar Photovoltaic-Based Electric Vehicle Charging Station","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"Politechnika Bialostocka","keywords":"Photovoltaic system; Grid; Charging station; Grid-connected photovoltaic power system; Computer science; Electric vehicle; Solar power; Integer programming; Automotive engineering; Electrical engineering; Power (physics); Engineering; Maximum power point tracking; Voltage; Mathematics","score_opus":0.007389265982736923,"score_gpt":0.22593960600912316,"score_spread":0.21855034002638624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389781398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84162754,0.0005233686,0.105332114,0.0004898249,0.00008090957,0.00016721964,0.00055495225,0.00026943276,0.050954603],"genre_scores_gemma":[0.99552023,0.00006817631,0.0031581703,0.0000098444325,0.0000031016552,0.000014649037,0.000062890875,0.000012129002,0.0011507705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971205,0.00010515428,0.000009199835,0.000039122107,0.000063388004,0.000071060625],"domain_scores_gemma":[0.99961,0.00019457625,0.00003975119,0.000026349711,0.00009874346,0.000030498475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785046,0.0005576268,0.0004731351,0.00056647573,0.0003315921,0.0012892424,0.0005588356,0.0005704894,0.0027527146],"category_scores_gemma":[0.0011127096,0.0003471333,0.0005743161,0.00050628156,0.00031250794,0.0008115024,0.00048597853,0.0004827545,0.00024129741],"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":[0.00012785356,0.00004984783,0.0015502407,0.00004788039,0.000020975964,0.00006696802,0.000012823964,0.98729604,0.0011345055,0.0026355246,0.00030944095,0.0067479885],"study_design_scores_gemma":[0.00001293269,0.000101577876,0.0007393025,0.00000454003,0.00001968897,0.00001411287,0.00004974386,0.9970283,0.00092138204,0.0007558824,0.00034829715,0.000004285603],"about_ca_topic_score_codex":0.00972263,"about_ca_topic_score_gemma":0.012344649,"teacher_disagreement_score":0.00972263,"about_ca_system_score_codex":0.0015290485,"about_ca_system_score_gemma":0.0011801735,"threshold_uncertainty_score":0.019332051},"labels":[],"label_agreement":null},{"id":"W4390103358","doi":"10.5267/j.ijiec.2023.10.003","title":"Contract selection for collaborative innovation in the new energy vehicle supply chain under the dual credit policy: Cost sharing and benefit sharing","year":2023,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Profit (economics); Revenue sharing; Business; Revenue; Profit model; Industrial organization; Profit sharing; Microeconomics; Marketing; Economics; Finance","score_opus":0.02228901532112036,"score_gpt":0.2639880379622319,"score_spread":0.24169902264111157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390103358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33162615,0.00061864237,0.6352676,0.0023547304,0.00016721801,0.00064839004,0.00022839561,0.000185272,0.02890363],"genre_scores_gemma":[0.983718,0.00016648855,0.01205463,0.00008207771,0.000031249536,0.00014802998,0.00003916349,0.000014577689,0.003745866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99392253,0.0027431431,0.00023421607,0.00091767794,0.0010556296,0.0011268143],"domain_scores_gemma":[0.9906758,0.0051580304,0.0012960795,0.00073410256,0.001044941,0.0010910457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069088684,0.0009617519,0.0017251553,0.0009673162,0.0014559417,0.0034685968,0.0019321267,0.002652314,0.0063921353],"category_scores_gemma":[0.018078793,0.0005814221,0.0015076862,0.0010974449,0.0026431219,0.006303211,0.002520989,0.002954333,0.0003831418],"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":[0.0005851295,0.00041505785,0.003915072,0.00022525043,0.00012086903,0.00063127454,0.0005039657,0.5264961,0.0034717866,0.42157692,0.0026363719,0.039422262],"study_design_scores_gemma":[0.00013294474,0.0001802369,0.00080741954,0.00002985231,0.00005468178,0.00014844757,0.00019343161,0.85542715,0.00085513777,0.14040586,0.0017118888,0.00005288096],"about_ca_topic_score_codex":0.0044480124,"about_ca_topic_score_gemma":0.0022688003,"teacher_disagreement_score":0.0069088684,"about_ca_system_score_codex":0.0039608306,"about_ca_system_score_gemma":0.006227867,"threshold_uncertainty_score":0.036538005},"labels":[],"label_agreement":null},{"id":"W4390234906","doi":"10.3390/en17010123","title":"Optimal Unit Commitment and Generation Scheduling of Integrated Power System with Plug-In Electric Vehicles and Renewable Energy Sources","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; University of Calgary","funders":"Mitacs","keywords":"Wind power; Electric power system; Automotive engineering; Renewable energy; Power system simulation; Scheduling (production processes); Electric vehicle; Electricity generation; Engineering; Computer science; Electrical engineering; Power (physics); Operations management","score_opus":0.0065092381511497035,"score_gpt":0.1818047780697311,"score_spread":0.1752955399185814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390234906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2934195,0.0006021296,0.6944384,0.00036484713,0.00007150677,0.00019061763,0.00018989801,0.00050429924,0.010218802],"genre_scores_gemma":[0.96450335,0.00009272166,0.03338289,0.000025330255,0.000011194073,0.00008872895,0.000102867234,0.00003003473,0.0017628206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972147,0.00012374968,0.000010837696,0.000048122292,0.000044733755,0.00005116025],"domain_scores_gemma":[0.99952555,0.00026441185,0.00007287371,0.00002461138,0.000065571854,0.00004699161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006314122,0.0008143208,0.00087079173,0.0003637993,0.0003462107,0.0008910686,0.000868782,0.0005590018,0.001723521],"category_scores_gemma":[0.0013446292,0.00050238677,0.0003569841,0.0006119113,0.00041012187,0.0005074878,0.000564885,0.0008940971,0.00020647248],"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":[0.000057267534,0.000013209447,0.00020769777,0.000013846154,0.000012093404,0.000019833038,0.000011556875,0.9937169,0.0002070716,0.00072154397,0.0001487234,0.0048703104],"study_design_scores_gemma":[0.000005821367,0.000012555459,0.000042003834,0.0000012375862,0.000002063648,0.0000021245753,0.00000399771,0.9995449,0.000087540335,0.0002446022,0.000052010073,0.0000011667277],"about_ca_topic_score_codex":0.012885078,"about_ca_topic_score_gemma":0.009118875,"teacher_disagreement_score":0.012885078,"about_ca_system_score_codex":0.00087410526,"about_ca_system_score_gemma":0.0010879579,"threshold_uncertainty_score":0.025620103},"labels":[],"label_agreement":null},{"id":"W4390270664","doi":"10.54254/2754-1169/63/20231422","title":"Research on the Tesla’s Strengths and Weakness","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"SWOT analysis; Futures studies; Strategic planning; Sustainable development; Process management; Business; Process (computing); Ranking (information retrieval); Risk analysis (engineering); Operations management; Computer science; Marketing; Engineering; Political science","score_opus":0.017017109437633578,"score_gpt":0.3076927650826378,"score_spread":0.29067565564500425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390270664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63158625,0.0052714664,0.009577471,0.036021743,0.0005022557,0.00015246075,0.00036606306,0.00017558505,0.3163467],"genre_scores_gemma":[0.973301,0.0021146066,0.0039984244,0.0016371079,0.00008034546,0.000048584145,0.00016276824,0.000040186125,0.018617032],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99495304,0.001984516,0.00028701202,0.00046280306,0.0016989881,0.0006137094],"domain_scores_gemma":[0.97343,0.009323592,0.0033536311,0.0008608079,0.010470882,0.002561064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008459578,0.00036926247,0.0002541319,0.0036973173,0.004271334,0.008861935,0.0012518646,0.0010738447,0.00791119],"category_scores_gemma":[0.018848475,0.00025609822,0.00033955436,0.0046750167,0.003075532,0.007447756,0.0032433819,0.0014285384,0.0016754925],"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":[0.00036314785,0.00022061034,0.18303455,0.0022240486,0.0002595907,0.0021383867,0.089051396,0.0017378089,0.005309747,0.28968775,0.051803723,0.37416932],"study_design_scores_gemma":[0.000022903505,0.0005147623,0.10716648,0.0023346564,0.0001937801,0.0023189567,0.24668843,0.0036540513,0.0058938344,0.024333734,0.6067232,0.00015517186],"about_ca_topic_score_codex":0.007441121,"about_ca_topic_score_gemma":0.012609188,"teacher_disagreement_score":0.008861935,"about_ca_system_score_codex":0.0076500173,"about_ca_system_score_gemma":0.008171701,"threshold_uncertainty_score":0.055505037},"labels":[],"label_agreement":null},{"id":"W4390297684","doi":"10.54097/hset.v73i.12854","title":"Comparison of CO2 emission between conventional internal combustion vehicles (CICVs) and electric vehicles (EVs)","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Combustion; Global warming; Automotive engineering; Greenhouse gas; Environmental science; Internal combustion engine; Carbon dioxide; Engineering; Climate change; Chemistry; Geology","score_opus":0.00889323315705957,"score_gpt":0.24463786973863075,"score_spread":0.2357446365815712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390297684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9226344,0.016151741,0.0031722211,0.00070393534,0.0008536109,0.000037200618,0.00303649,0.00009209008,0.05331824],"genre_scores_gemma":[0.98926044,0.002939363,0.00058679737,0.000100397,0.000068062865,0.000018212457,0.0017901943,0.00003767312,0.0051989006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938023,0.00005773238,0.00002576926,0.00014653555,0.0003018534,0.00008780532],"domain_scores_gemma":[0.99940383,0.0002292753,0.000063278174,0.000027531003,0.00025210186,0.000024053927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027009158,0.0003341263,0.00028618536,0.0011618121,0.00039845592,0.00091062026,0.00036304977,0.00048041766,0.0017451172],"category_scores_gemma":[0.000794752,0.00009802506,0.0005121205,0.0015373322,0.00031279976,0.0011523202,0.0003318005,0.00045353296,0.0004728098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058038337,0.00090461585,0.41048303,0.004356626,0.001410126,0.002643216,0.0023812584,0.035191517,0.08354167,0.024080427,0.03803025,0.3911735],"study_design_scores_gemma":[0.000060242008,0.0016061114,0.78712535,0.0003220953,0.00041993527,0.001405441,0.009082512,0.02118419,0.0726989,0.0076485444,0.09825189,0.0001947719],"about_ca_topic_score_codex":0.008364412,"about_ca_topic_score_gemma":0.01167737,"teacher_disagreement_score":0.008364412,"about_ca_system_score_codex":0.0006759021,"about_ca_system_score_gemma":0.00030820756,"threshold_uncertainty_score":0.016631424},"labels":[],"label_agreement":null},{"id":"W4390494686","doi":"10.1109/itecasia-pacific59272.2023.10372229","title":"Electric Bus State-Of-Health Aware Cost Analysis Given Energy Consumption and Initial Battery Purchase Price","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Energy consumption; Automotive engineering; Consumption (sociology); Computer science; State (computer science); Energy (signal processing); State of health; Electrical engineering; Engineering; Statistics; Power (physics); Mathematics","score_opus":0.012813098110451388,"score_gpt":0.24882010260788767,"score_spread":0.23600700449743628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390494686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85404706,0.00091307436,0.10227937,0.0005756238,0.00006499992,0.00043283822,0.0020631975,0.00022956969,0.03939431],"genre_scores_gemma":[0.99029374,0.00023331335,0.005267702,0.000016766307,0.000009045021,0.000054459368,0.00040873518,0.000027798416,0.0036884334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.00012212322,0.000014949266,0.000057847246,0.00016334713,0.00010985354],"domain_scores_gemma":[0.9983413,0.0009965594,0.00010931347,0.00007647935,0.00044287308,0.000033412474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011647608,0.0007994507,0.00068040646,0.0009803127,0.00033551452,0.0013111487,0.0009686674,0.00056888734,0.0042349882],"category_scores_gemma":[0.0035027813,0.00045642094,0.000669704,0.0011325657,0.00037917917,0.0017664084,0.00043790406,0.00062328106,0.00021724761],"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":[0.000085659325,0.000025776193,0.001960703,0.000037000173,0.000016552141,0.00007227637,0.0000142097115,0.98798966,0.0005472129,0.0028947906,0.0003159839,0.006040228],"study_design_scores_gemma":[0.000004016794,0.000087032284,0.0029003476,0.0000097552675,0.000034166,0.000037234662,0.00007724705,0.994528,0.0007029774,0.0011182444,0.0004911239,0.0000098936025],"about_ca_topic_score_codex":0.019196892,"about_ca_topic_score_gemma":0.024072053,"teacher_disagreement_score":0.019196892,"about_ca_system_score_codex":0.0027449634,"about_ca_system_score_gemma":0.0015934494,"threshold_uncertainty_score":0.038170338},"labels":[],"label_agreement":null},{"id":"W4390660915","doi":"10.1016/j.jclepro.2024.140656","title":"Social cost-benefit analysis of different types of buses for sustainable public transportation","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Environmental economics; Public transport; Sustainable transport; Renewable energy; Greenhouse gas; Cost–benefit analysis; Transport engineering; Business; Engineering; Sustainability; Natural resource economics; Economics; Ecology","score_opus":0.010252033638036595,"score_gpt":0.23948587949797995,"score_spread":0.22923384585994336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390660915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.901394,0.0019524727,0.04733281,0.0011614357,0.000093846764,0.000644308,0.0017293529,0.00005972823,0.045632023],"genre_scores_gemma":[0.9923562,0.00054319116,0.0036601159,0.000032021224,0.000013723176,0.0001280898,0.0002573828,0.0000077132445,0.0030016683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896336,0.0005809038,0.000020376756,0.00006248454,0.00018529034,0.0001876104],"domain_scores_gemma":[0.997771,0.0016418698,0.00015761581,0.000057355,0.00030117028,0.00007096338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995227,0.0010917302,0.00066737464,0.0015351322,0.0005271457,0.0016229833,0.0007575394,0.0010294375,0.0059716767],"category_scores_gemma":[0.0030418034,0.0004546766,0.0013640664,0.0010770095,0.0005851508,0.001350214,0.0009965412,0.00097380485,0.0001913709],"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":[0.00026130423,0.000093939445,0.0028537102,0.00018654404,0.00009814528,0.00027161418,0.000043839565,0.9744005,0.001009468,0.01272461,0.0006119222,0.007444469],"study_design_scores_gemma":[0.00005263866,0.0006113965,0.0067742905,0.00008945193,0.00023776627,0.00009156938,0.00056559173,0.97843003,0.0009848045,0.009400939,0.0027193904,0.000042060077],"about_ca_topic_score_codex":0.01224729,"about_ca_topic_score_gemma":0.012653982,"teacher_disagreement_score":0.01224729,"about_ca_system_score_codex":0.0032739234,"about_ca_system_score_gemma":0.0015846187,"threshold_uncertainty_score":0.024352014},"labels":[],"label_agreement":null},{"id":"W4390681935","doi":"10.1049/icp.2023.3140","title":"Designing EV charging stations deployment through holistic simulations: the SANEVEC project","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Grid; Software deployment; Charging station; Electricity; Computer science; Air quality index; Quality (philosophy); Electric vehicle; Transport engineering; Task (project management); Environmental science; Simulation; Automotive engineering; Engineering; Systems engineering; Electrical engineering; Meteorology; Power (physics); Geography","score_opus":0.05639596175104149,"score_gpt":0.28966656419677744,"score_spread":0.23327060244573594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390681935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6662874,0.0003795426,0.29523888,0.00076811766,0.00017774795,0.0003443247,0.001707064,0.0018450654,0.03325171],"genre_scores_gemma":[0.9046482,0.00022816015,0.090319596,0.00006811406,0.000015421747,0.00027743622,0.0012213179,0.000180001,0.003041828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997919,0.00009726664,0.000006745798,0.000032908218,0.000037300637,0.00003382205],"domain_scores_gemma":[0.9995535,0.00023392383,0.000029902783,0.00005499072,0.00008531501,0.00004232807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115832,0.00074320944,0.00068891526,0.00036561475,0.00030156536,0.0006765314,0.0009032605,0.0008916848,0.0021756503],"category_scores_gemma":[0.0012789535,0.00038529278,0.00052581634,0.000410444,0.0004482135,0.0006126585,0.00079313637,0.0006665765,0.00021765918],"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":[0.000041015966,0.000045519806,0.0008280193,0.00002129734,0.000014214741,0.000030206382,0.000025260122,0.992963,0.0005424215,0.0012725188,0.0003982948,0.003818266],"study_design_scores_gemma":[0.000023044911,0.00003700588,0.00021229956,0.0000041477338,0.000005234928,0.0000066568064,0.000025682382,0.99751186,0.0005458714,0.0005978555,0.0010262612,0.000004107637],"about_ca_topic_score_codex":0.009594434,"about_ca_topic_score_gemma":0.008396942,"teacher_disagreement_score":0.009594434,"about_ca_system_score_codex":0.00077715307,"about_ca_system_score_gemma":0.001020252,"threshold_uncertainty_score":0.019077182},"labels":[],"label_agreement":null},{"id":"W4390748836","doi":"10.1016/j.jii.2024.100561","title":"Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Software deployment; Scheduling (production processes); Electric vehicle; Computer science; Engineering; Operations research; Transport engineering; Automotive engineering; Operations management; Power (physics)","score_opus":0.09288907346285498,"score_gpt":0.30168161113765,"score_spread":0.20879253767479505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390748836","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015147236,0.89514905,0.025393447,0.044992212,0.0022494097,0.000047220405,0.00028831925,0.00027556333,0.016457511],"genre_scores_gemma":[0.2064994,0.75525594,0.022119937,0.0035455786,0.0074361935,0.00006170776,0.0007351522,0.00008413371,0.0042620096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980798,0.0005728519,0.00015763662,0.00039767707,0.0005467708,0.00024534113],"domain_scores_gemma":[0.9830257,0.011465135,0.0009374761,0.00050127914,0.0030899015,0.0009804148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009861908,0.00082627137,0.0015017177,0.001479125,0.00072799524,0.007768423,0.0032066917,0.0026407284,0.00822895],"category_scores_gemma":[0.010033946,0.00051177107,0.0005863377,0.004245256,0.0023810635,0.013167563,0.0015064067,0.0030483233,0.0018320689],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006014975,0.00048745118,0.0036826185,0.0044523836,0.000106031745,0.00006821017,0.0003075913,0.020804929,0.0009991295,0.08180462,0.032106966,0.85457855],"study_design_scores_gemma":[0.00016506456,0.0014309575,0.0053293076,0.007940916,0.00023844994,0.00043062764,0.008217011,0.16971947,0.0029936887,0.32901582,0.4742897,0.00022896803],"about_ca_topic_score_codex":0.004257687,"about_ca_topic_score_gemma":0.005582127,"teacher_disagreement_score":0.009861908,"about_ca_system_score_codex":0.0021783642,"about_ca_system_score_gemma":0.0055793826,"threshold_uncertainty_score":0.052155316},"labels":[],"label_agreement":null},{"id":"W4390767996","doi":"10.1016/j.apenergy.2023.122335","title":"Development of a framework to assess the greenhouse gas mitigation potential from the adoption of low-carbon road vehicles in a hydrocarbon-rich region","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Carbon footprint; Zero emission; Hydrogen vehicle; Environmental science; Electric vehicle; Green vehicle; Environmental economics; Environmental engineering; Engineering; Automotive engineering; Waste management; Hydrogen fuel; Fuel efficiency; Power (physics); Economics","score_opus":0.007046844937527032,"score_gpt":0.19416173081952062,"score_spread":0.1871148858819936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390767996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30150902,0.00092119665,0.54415417,0.0061131897,0.00014087078,0.0017684724,0.0046373117,0.00061881676,0.14013694],"genre_scores_gemma":[0.85686535,0.00034140886,0.13759014,0.00016899384,0.000017690136,0.000609102,0.00094477367,0.000037048536,0.0034255232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859613,0.00060804345,0.00006348212,0.00019058291,0.00028271985,0.0002590588],"domain_scores_gemma":[0.99858934,0.00045203386,0.00022139568,0.000063717634,0.00053820317,0.00013532277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003540405,0.0009919348,0.0005087269,0.0033079928,0.0011170381,0.0040452713,0.0017868766,0.0014219629,0.003327165],"category_scores_gemma":[0.003727753,0.00033250471,0.001219292,0.0015995236,0.0014540788,0.0024035468,0.0023668704,0.0014489037,0.00027017941],"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":[0.000077551405,0.00041059215,0.028448354,0.00023846385,0.00024922512,0.00048212567,0.0006161852,0.4883612,0.0030775827,0.44795603,0.0029803833,0.027102238],"study_design_scores_gemma":[0.00007237002,0.0002911235,0.019581834,0.0002726477,0.0001250164,0.00009627767,0.0033924535,0.7995681,0.003459377,0.15727647,0.015764562,0.0000998592],"about_ca_topic_score_codex":0.10363572,"about_ca_topic_score_gemma":0.099610366,"teacher_disagreement_score":0.10363572,"about_ca_system_score_codex":0.007294269,"about_ca_system_score_gemma":0.009912649,"threshold_uncertainty_score":0.206065},"labels":[],"label_agreement":null},{"id":"W4390875855","doi":"10.1007/s10107-024-02141-9","title":"A continuous approximation model for the electric vehicle fleet sizing problem","year":2024,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Politecnico di Milano","keywords":"Sizing; Electric vehicle; Automotive engineering; Mathematical optimization; Computer science; Mathematics; Engineering; Physics; Chemistry; Power (physics)","score_opus":0.011572600416782671,"score_gpt":0.22918668524186833,"score_spread":0.21761408482508565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390875855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026928378,0.0005256947,0.951554,0.0007917801,0.00009206483,0.0000414621,0.0003056954,0.00018848153,0.019572394],"genre_scores_gemma":[0.905399,0.0006156283,0.07262911,0.0001439147,0.000085909836,0.00012445138,0.00033833686,0.00007105832,0.020592531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996941,0.000107007625,0.000008904303,0.00006765757,0.00007753821,0.000044742734],"domain_scores_gemma":[0.99935144,0.0004287453,0.000071505056,0.000028451645,0.00008254627,0.00003730832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006423411,0.00065451104,0.00091713166,0.0004102079,0.00028507458,0.0014407913,0.0014254004,0.0015969443,0.0051451386],"category_scores_gemma":[0.0018155013,0.00044672188,0.0005962765,0.00083000626,0.0007242682,0.0009944859,0.00060286815,0.0018441358,0.00050574116],"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":[0.000016908112,0.000017788734,0.0000833604,0.000020756814,0.000005977569,0.000030314044,0.000015452053,0.97664297,0.00026454442,0.019711059,0.00054883165,0.0026420015],"study_design_scores_gemma":[0.000003540942,0.000005423366,0.000020293768,0.0000019591096,0.0000014818925,0.0000046224186,0.00000252565,0.99704534,0.00002430707,0.002620175,0.00026876328,0.0000015915771],"about_ca_topic_score_codex":0.01179655,"about_ca_topic_score_gemma":0.007407399,"teacher_disagreement_score":0.01179655,"about_ca_system_score_codex":0.0011289513,"about_ca_system_score_gemma":0.0011876763,"threshold_uncertainty_score":0.023455799},"labels":[],"label_agreement":null},{"id":"W4390938694","doi":"10.1007/s12667-023-00638-4","title":"Accelerating urban road transportation electrification: planning, technology, economic and implementation factors in converting gas stations into fast charging stations","year":2024,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Carleton University","keywords":"Electrification; Enabling; Environmental economics; Incentive; Greenhouse gas; Government (linguistics); Electricity; Grid; Service (business); Business; Transport engineering; Telecommunications; Computer science; Engineering; Electrical engineering; Economics; Marketing","score_opus":0.007128406153786613,"score_gpt":0.23542866300010157,"score_spread":0.22830025684631494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390938694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893189,0.00016880297,0.0016263245,0.00032035282,0.0000068017735,0.00012943214,0.00013202046,0.000018089055,0.008279401],"genre_scores_gemma":[0.99707377,0.00015033009,0.00096670794,0.000017156817,0.0000035450705,0.000023116787,0.00007914567,0.0000049895007,0.0016811134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984993,0.0007084982,0.000059645623,0.00010618896,0.0002806314,0.0003457663],"domain_scores_gemma":[0.99551034,0.0024761462,0.00067096495,0.00014302695,0.0009205015,0.0002789816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031161504,0.00029797808,0.00019845556,0.0007654757,0.0004918702,0.002249983,0.0007303864,0.0005630696,0.0048896987],"category_scores_gemma":[0.0074203294,0.00026580773,0.00056010054,0.0018144887,0.00057500455,0.0021923815,0.00062132115,0.00068990275,0.0003574191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018775468,0.0019552773,0.77745867,0.00029021167,0.00021738025,0.0010140749,0.0011232507,0.08209041,0.008032121,0.02721163,0.0010050718,0.0977242],"study_design_scores_gemma":[0.000092307775,0.0021299883,0.9383532,0.00011541036,0.00038744457,0.00029660432,0.0084040575,0.025839845,0.0132480515,0.0049009565,0.006177183,0.000054982407],"about_ca_topic_score_codex":0.02364713,"about_ca_topic_score_gemma":0.043829538,"teacher_disagreement_score":0.02364713,"about_ca_system_score_codex":0.003103393,"about_ca_system_score_gemma":0.0051344666,"threshold_uncertainty_score":0.047019005},"labels":[],"label_agreement":null},{"id":"W4390951140","doi":"10.1002/dac.5700","title":"Multi‐objective optimization for optimal energy transporting path and energy distribution in electric vehicles energy internet","year":2024,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Energy (signal processing); Shortest path problem; Energy consumption; Charging station; Electric potential energy; Path (computing); Power (physics); Real-time computing; The Internet; Energy supply; Simulation; Electric vehicle; Automotive engineering; Electrical engineering; Computer network; Engineering; Mathematics; Statistics","score_opus":0.006705052890382768,"score_gpt":0.227075792038766,"score_spread":0.22037073914838323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390951140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28866556,0.0015089317,0.68773836,0.0013679728,0.00015666132,0.00015073978,0.0003286201,0.00042659676,0.019656537],"genre_scores_gemma":[0.96170086,0.00019198305,0.032419465,0.000113341535,0.000019010218,0.00008296879,0.00014836616,0.000043001837,0.005280944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975044,0.00010952958,0.0000111292775,0.000044569322,0.000033337674,0.00005096368],"domain_scores_gemma":[0.9992673,0.00051686855,0.00005898325,0.000016422788,0.00009918198,0.000041207346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095825933,0.0008283826,0.00079522055,0.000599683,0.0003006562,0.00076394976,0.00055901863,0.0010026003,0.002577211],"category_scores_gemma":[0.0013737777,0.0005103034,0.00057840446,0.00047713335,0.00045374528,0.0005741324,0.00056642474,0.0008286475,0.00017100449],"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":[0.000014622158,0.000014210882,0.000177524,0.000010809894,0.000008206168,0.000012338494,0.000004381509,0.9966186,0.00007992375,0.0005086184,0.00018484044,0.0023658313],"study_design_scores_gemma":[0.00000215236,0.000008758181,0.000039983872,0.0000013882016,0.0000016161886,0.0000010755833,0.000003641196,0.9996661,0.000025342513,0.00019963985,0.000049551934,7.5972787e-7],"about_ca_topic_score_codex":0.015268847,"about_ca_topic_score_gemma":0.008618395,"teacher_disagreement_score":0.015268847,"about_ca_system_score_codex":0.0010625897,"about_ca_system_score_gemma":0.0010702274,"threshold_uncertainty_score":0.030359983},"labels":[],"label_agreement":null},{"id":"W4391127487","doi":"10.24124/2023/59449","title":"Electric vehicle adoption in growing Canadian cities: Assessing barriers to electric vehicle adoption in the City of Kamloops","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Context (archaeology); Business; Greenhouse gas; Electric vehicle; Stakeholder; Transport engineering; Environmental planning; Environmental economics; Environmental science; Political science; Geography; Engineering; Economics; Public relations","score_opus":0.005804792877099525,"score_gpt":0.22141405462091718,"score_spread":0.21560926174381764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98151565,0.00048788177,0.00021393703,0.0012725907,0.000017357852,0.00017527599,0.000881378,0.000010371462,0.015425547],"genre_scores_gemma":[0.9915662,0.0015158479,0.0007610809,0.000285108,0.0000050240988,0.00015484476,0.000855074,0.000012265657,0.004844481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873286,0.0001023658,0.000049857375,0.00011730164,0.00059014227,0.00040743954],"domain_scores_gemma":[0.99502474,0.0005857663,0.00041615433,0.00007927067,0.00332631,0.00056774786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018279438,0.00039708114,0.00038234767,0.003404809,0.009997336,0.0039458848,0.0014898167,0.0005905683,0.0025647287],"category_scores_gemma":[0.0060368543,0.00032738043,0.00057050685,0.0072225165,0.0022502076,0.0015254319,0.0022142627,0.0011132599,0.00021097557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014022112,0.0002935144,0.6440906,0.0008482408,0.00008505628,0.0009287051,0.2731437,0.00074002444,0.0012309615,0.005508827,0.008363456,0.06462671],"study_design_scores_gemma":[0.000008320439,0.00006449098,0.5193272,0.00026852902,0.00004731631,0.00006436644,0.45915005,0.00051629776,0.00034167062,0.00019297074,0.019947013,0.00007171247],"about_ca_topic_score_codex":0.9938547,"about_ca_topic_score_gemma":0.9971029,"teacher_disagreement_score":0.07808256,"about_ca_system_score_codex":0.07808256,"about_ca_system_score_gemma":0.099649824,"threshold_uncertainty_score":0.5665313},"labels":[],"label_agreement":null},{"id":"W4391155362","doi":"10.1016/j.apenergy.2024.122737","title":"Electric vehicle charging design: The factored action based reinforcement learning approach","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Canadian Armed Forces; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Reinforcement learning; Markov decision process; Computer science; Transformer; Electric vehicle; Dimension (graph theory); Scheduling (production processes); Mathematical optimization; Artificial intelligence; Markov process; Power (physics); Voltage; Engineering; Mathematics","score_opus":0.01212790565508549,"score_gpt":0.19625841967967447,"score_spread":0.184130514024589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391155362","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01150806,0.00019109869,0.98281616,0.0001821318,0.000056773068,0.00006269509,0.000021397866,0.00021542227,0.004946266],"genre_scores_gemma":[0.90980816,0.00019623105,0.085538514,0.0001377022,0.000056110264,0.00013795891,0.00003674863,0.000046641595,0.00404186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995271,0.00016989135,0.000017639939,0.00008769645,0.00012559876,0.00007215702],"domain_scores_gemma":[0.99892837,0.0006636836,0.00009578495,0.000034033656,0.00022284182,0.000055405897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012368602,0.0010883227,0.0011367855,0.00052989676,0.00031582688,0.0007549706,0.0014118046,0.001327727,0.0039386065],"category_scores_gemma":[0.0025882784,0.00043496498,0.00050939363,0.0003454743,0.00079694367,0.000797976,0.00073029805,0.0010457988,0.00032186555],"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":[0.000039284572,0.000035528687,0.0001552827,0.000038327475,0.000017013734,0.000027999107,0.00001959139,0.981294,0.00037149113,0.0028796052,0.00024441374,0.014877542],"study_design_scores_gemma":[0.000011462524,0.000033905635,0.000029758701,0.0000039733777,0.0000051644806,0.0000063378784,0.0000028675065,0.9983078,0.00009434235,0.0013262973,0.00017553927,0.000002420234],"about_ca_topic_score_codex":0.0074106776,"about_ca_topic_score_gemma":0.005193611,"teacher_disagreement_score":0.0074106776,"about_ca_system_score_codex":0.0006814961,"about_ca_system_score_gemma":0.0010492817,"threshold_uncertainty_score":0.014735103},"labels":[],"label_agreement":null},{"id":"W4391172718","doi":"10.51594/estj.v5i1.747","title":"ELECTRIC VEHICLE CHARGING INFRASTRUCTURE: A COMPARATIVE REVIEW IN CANADA, USA, AND AFRICA","year":2024,"lang":"en","type":"review","venue":"Engineering Science & Technology Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Political science; Geography; Physics","score_opus":0.01037029119201185,"score_gpt":0.2440344997302932,"score_spread":0.23366420853828135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391172718","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00060928205,0.99762875,0.000040817562,0.00023506723,0.00005062345,0.00000655891,0.00011970286,0.0000031508043,0.0013061328],"genre_scores_gemma":[0.0035630034,0.9960932,0.00006601364,0.000069925336,0.000016687582,0.0000034816796,0.00006179535,0.0000013431561,0.00012457612],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931014,0.000091169306,0.00011127947,0.000080690916,0.00031360873,0.00009313695],"domain_scores_gemma":[0.9960104,0.001846828,0.00041782463,0.000041921976,0.0015197535,0.00016326428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018304826,0.00061937835,0.0013653805,0.013298055,0.0008573021,0.002397943,0.00083258667,0.000722989,0.0026724213],"category_scores_gemma":[0.0047858213,0.00034993782,0.0008867567,0.027047811,0.00066108414,0.0014257141,0.0007946327,0.00070129405,0.0002686472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013891567,0.000041993306,0.0021261699,0.15900543,0.00053156074,0.0003170181,0.00097322586,0.0006609216,0.00064261764,0.006734344,0.02798136,0.8008464],"study_design_scores_gemma":[0.000016979657,0.00012095732,0.016046517,0.09117737,0.0026960517,0.00077846553,0.0020108323,0.00016068175,0.0006679283,0.0010942852,0.8851623,0.000067707726],"about_ca_topic_score_codex":0.20718725,"about_ca_topic_score_gemma":0.3855915,"teacher_disagreement_score":0.79281276,"about_ca_system_score_codex":0.0057317982,"about_ca_system_score_gemma":0.023201631,"threshold_uncertainty_score":0.41196257},"labels":[],"label_agreement":null},{"id":"W4391224452","doi":"10.1049/gtd2.13115","title":"Dynamic investment planning of CVR implementation considering PEVs’ reactive power compensation capability","year":2024,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); AC power; Investment (military); Computer science; Power (physics); Business","score_opus":0.011726544793859336,"score_gpt":0.2642927855358743,"score_spread":0.252566240742015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391224452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5506111,0.0005297184,0.34930003,0.0013672253,0.000075294345,0.00054584956,0.0010023748,0.00044578398,0.09612257],"genre_scores_gemma":[0.98745453,0.00009510095,0.008323682,0.000019452325,0.0000029175662,0.00008230347,0.00007523348,0.000013491733,0.003933273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965954,0.00012897958,0.000008594126,0.000046176436,0.00005002586,0.00010673639],"domain_scores_gemma":[0.99948823,0.00024189285,0.00007866829,0.00002045116,0.00008420306,0.00008649138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006579235,0.0006191192,0.0005333,0.00044530694,0.00047473278,0.0012709693,0.00087742147,0.0010314338,0.0056529194],"category_scores_gemma":[0.0017384198,0.00060725294,0.0004009544,0.00051897037,0.0005121024,0.0009211553,0.0005941981,0.0010242542,0.00026319668],"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":[0.000031337793,0.000017345616,0.00029495434,0.000013568508,0.0000046164078,0.00004753812,0.000012752926,0.9939652,0.0002167153,0.0027115066,0.00023335102,0.0024511083],"study_design_scores_gemma":[0.0000121315725,0.00003671028,0.00027210286,0.00000505268,0.000008100313,0.0000059506565,0.00002895731,0.9980623,0.00017376707,0.0010696427,0.00032005034,0.0000052056416],"about_ca_topic_score_codex":0.039932404,"about_ca_topic_score_gemma":0.038449924,"teacher_disagreement_score":0.039932404,"about_ca_system_score_codex":0.0026853203,"about_ca_system_score_gemma":0.0028028972,"threshold_uncertainty_score":0.07939994},"labels":[],"label_agreement":null},{"id":"W4391323028","doi":"10.1080/00036846.2024.2303407","title":"Pro-environment consumer behaviour and electric vehicle adoptions: a comparative regional meta-analysis","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"Cape Breton University","keywords":"Economics; Meta-analysis; Econometrics; Macroeconomics; Microeconomics","score_opus":0.03425749914123845,"score_gpt":0.22188817708568873,"score_spread":0.18763067794445026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391323028","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1047725,0.8785558,0.011601426,0.0007239494,0.00023906933,0.0005723695,0.0022326822,0.00011788852,0.0011843089],"genre_scores_gemma":[0.8378291,0.14698866,0.010958814,0.0006246744,0.00015405595,0.001195421,0.0018046426,0.00008805075,0.00035651238],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9746858,0.016708087,0.004367994,0.0024962816,0.0013613361,0.00038053657],"domain_scores_gemma":[0.9222287,0.061662436,0.0073571536,0.004511748,0.0037870498,0.00045283942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03698737,0.0017903739,0.007011477,0.008154852,0.00054838357,0.0027743368,0.001970193,0.001528101,0.0030852125],"category_scores_gemma":[0.07255558,0.0010618247,0.040299468,0.0088782925,0.00086280715,0.0012593847,0.0017197112,0.0016182662,0.00027860093],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019370867,0.00005393666,0.038083564,0.059247863,0.8832501,0.00017695053,0.00033793686,0.0012835551,0.00042064302,0.0004393343,0.0003897037,0.014379374],"study_design_scores_gemma":[0.0003657697,0.0003278246,0.023940554,0.006168121,0.96625674,0.000146396,0.00015170935,0.0005525818,0.00025344704,0.00043887526,0.0013685514,0.000029441013],"about_ca_topic_score_codex":0.0067727114,"about_ca_topic_score_gemma":0.009147853,"teacher_disagreement_score":0.03698737,"about_ca_system_score_codex":0.0016290203,"about_ca_system_score_gemma":0.002137553,"threshold_uncertainty_score":0.19561028},"labels":[],"label_agreement":null},{"id":"W4391342772","doi":"10.1109/vppc60535.2023.10403351","title":"Charging Stations for Electric Vehicles Powered by Renewable Energy: Spatial Deployment, Typology of Infrastructures and Pionneer Stakeholders","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Software deployment; Renewable energy; Typology; Environmental economics; Business; Telecommunications; Environmental science; Computer science; Electrical engineering; Engineering; Geography","score_opus":0.012444408643692012,"score_gpt":0.2133792241869073,"score_spread":0.2009348155432153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391342772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203511,0.00080736744,0.0076784873,0.0008054425,0.000010941508,0.000086945656,0.00070411374,0.00005484765,0.06950083],"genre_scores_gemma":[0.9950447,0.00037578525,0.0010971121,0.000020826934,0.0000043691357,0.000027053544,0.00025931964,0.000013129771,0.003157723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988594,0.00038670097,0.00006978091,0.0001403685,0.0003503543,0.00019348014],"domain_scores_gemma":[0.99851495,0.00042873807,0.00039910775,0.00014201652,0.00042209655,0.00009310803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008978392,0.00019674988,0.00015638939,0.0029750722,0.0008064747,0.0028628756,0.00046808284,0.00039808176,0.004778584],"category_scores_gemma":[0.0027626993,0.00017154161,0.00020713087,0.0045364005,0.000866565,0.0027107901,0.0015988224,0.0002682866,0.0006734976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000237793,0.00013060287,0.58890474,0.00054624653,0.00009461783,0.0012241042,0.043867055,0.006939224,0.007602924,0.15044963,0.0050604483,0.19494256],"study_design_scores_gemma":[0.000021762986,0.00020968268,0.6225199,0.00047233392,0.00006210207,0.0017286587,0.21349776,0.009037549,0.0026815026,0.019947262,0.12974611,0.00007541345],"about_ca_topic_score_codex":0.008582933,"about_ca_topic_score_gemma":0.0112187555,"teacher_disagreement_score":0.008582933,"about_ca_system_score_codex":0.0017714268,"about_ca_system_score_gemma":0.0007275091,"threshold_uncertainty_score":0.017065942},"labels":[],"label_agreement":null},{"id":"W4391464549","doi":"10.1088/2634-4505/ad253e","title":"Variability in costs of electrifying passenger cars in Canada","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Passenger transport; Transport engineering; Aeronautics; Automotive engineering; Engineering","score_opus":0.004228141574996474,"score_gpt":0.2358766494895088,"score_spread":0.2316485079145123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391464549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856332,0.00030586866,0.00038094277,0.00036520875,0.0000106129055,0.000026465183,0.008124064,0.000019622066,0.0051340368],"genre_scores_gemma":[0.99648106,0.00011909175,0.00014055689,0.000029669282,0.000001900652,0.0000063173884,0.0020307195,0.000006056624,0.0011846811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870753,0.000111339716,0.00006747932,0.00019810704,0.00062175153,0.00029378285],"domain_scores_gemma":[0.9954782,0.00066363363,0.0006847509,0.0001645571,0.0026111389,0.00039775856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074346864,0.00025763916,0.0003201899,0.0015894695,0.0014515255,0.001848499,0.0011407204,0.00034573162,0.0024282006],"category_scores_gemma":[0.005263019,0.00020995135,0.0004747255,0.0046192612,0.0005783221,0.00045607865,0.00078626245,0.0005003683,0.00014226598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011635962,0.000031280182,0.97369653,0.000043512104,0.00016572738,0.0001451235,0.0012155545,0.006945391,0.00035997696,0.001228566,0.0029998152,0.013052189],"study_design_scores_gemma":[0.0000028447776,0.00000863078,0.9925782,0.000016648484,0.00001896049,0.000032857286,0.0012953642,0.0034752567,0.00011786335,0.00010891423,0.002320711,0.000023720175],"about_ca_topic_score_codex":0.9949544,"about_ca_topic_score_gemma":0.9956969,"teacher_disagreement_score":0.035542376,"about_ca_system_score_codex":0.035542376,"about_ca_system_score_gemma":0.016944546,"threshold_uncertainty_score":0.2578792},"labels":[],"label_agreement":null},{"id":"W4391565997","doi":"10.1007/s42835-024-01797-9","title":"Smart Vehicle-to-Grid Operation of Power System based on EV User Behavior","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Korea Institute for Advancement of Technology; Ministry of Science, ICT and Future Planning","keywords":"Renewable energy; Electric power system; Grid; Smart grid; Vehicle-to-grid; Demand response; Energy storage; Computer science; Electric vehicle; Electricity; Automotive engineering; Engineering; Reliability engineering; Power (physics); Electrical engineering","score_opus":0.002122793177781557,"score_gpt":0.18174182955346094,"score_spread":0.1796190363756794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391565997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98584646,0.00006171634,0.010382577,0.000086170345,0.000021987305,0.000016209358,0.00029555918,0.00016793703,0.0031214445],"genre_scores_gemma":[0.99938583,0.000013137772,0.00023604943,0.000005237475,0.000002610764,0.0000016123429,0.000103791106,0.0000054991738,0.00024608916],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997603,0.000057581157,0.000016250371,0.00005942048,0.00006543357,0.00004101278],"domain_scores_gemma":[0.9991239,0.00031889038,0.000120625635,0.00006130454,0.00030585812,0.00006938398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002694604,0.00022237585,0.00026833927,0.0003966342,0.00012768075,0.0004944267,0.00023602552,0.00022963542,0.001440056],"category_scores_gemma":[0.0015073575,0.0001059772,0.00015278552,0.00041224615,0.000113409435,0.00060374103,0.00021294967,0.00024070645,0.00038194985],"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":[0.0018485007,0.00044749037,0.6861546,0.00015419524,0.00040774507,0.0010197829,0.00053479854,0.17491868,0.027983963,0.0029065958,0.0037024121,0.09992121],"study_design_scores_gemma":[0.000010731879,0.00023112002,0.28553247,0.000010513854,0.0000835177,0.00029879675,0.0004461879,0.70710427,0.004362279,0.001173242,0.0007208257,0.000025977355],"about_ca_topic_score_codex":0.002955381,"about_ca_topic_score_gemma":0.0060018804,"teacher_disagreement_score":0.002955381,"about_ca_system_score_codex":0.00022006038,"about_ca_system_score_gemma":0.00015809742,"threshold_uncertainty_score":0.0058763623},"labels":[],"label_agreement":null},{"id":"W4391722849","doi":"10.2172/2293493","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator (Third Quarter 2023)","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Syracuse University; Argonne National Laboratory; Office of Energy Efficiency; Otsuka Canada Pharmaceutical; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electric vehicle; Transport engineering; Environmental science; Engineering; Geography; Archaeology; Physics","score_opus":0.008148993410516767,"score_gpt":0.23316985929980646,"score_spread":0.2250208658892897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391722849","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11596476,0.0027018732,0.0030299022,0.0033088357,0.0005038661,0.00010590273,0.78170425,0.0014585837,0.09122211],"genre_scores_gemma":[0.27593887,0.00693667,0.005933183,0.0014368905,0.00020122621,0.00029137215,0.66071767,0.00047916156,0.048065025],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994772,0.000025032623,0.000039277536,0.00005446223,0.0003091793,0.00009481494],"domain_scores_gemma":[0.9983741,0.00008269599,0.00032257484,0.000058567523,0.0010581403,0.00010392421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054448226,0.0003883716,0.00018487376,0.0019886447,0.0003188301,0.0013536375,0.00036346566,0.00037297513,0.006075892],"category_scores_gemma":[0.001404809,0.00020947304,0.00058071513,0.0052137435,0.00009187116,0.0010548995,0.00063850643,0.0006713706,0.0045727487],"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":[0.00015512048,0.00007978303,0.110521436,0.0005449272,0.00006174669,0.00019807315,0.00035975556,0.0027670243,0.0011000345,0.0029896975,0.7938345,0.087387875],"study_design_scores_gemma":[0.0000152037865,0.00007932653,0.3804477,0.00029296734,0.000056805926,0.00036065318,0.00096009375,0.0026569867,0.0033810094,0.00059039367,0.61111844,0.000040382056],"about_ca_topic_score_codex":0.10910596,"about_ca_topic_score_gemma":0.11135099,"teacher_disagreement_score":0.10910596,"about_ca_system_score_codex":0.001969966,"about_ca_system_score_gemma":0.0020188342,"threshold_uncertainty_score":0.21694177},"labels":[],"label_agreement":null},{"id":"W4391798276","doi":"10.1016/j.trd.2024.104103","title":"Transportation Electrification: A Critical Review of EVs Mobility during Disruptive Events","year":2024,"lang":"en","type":"review","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Electrification; Business; Transport engineering; Engineering; Electricity; Electrical engineering","score_opus":0.04767555328147703,"score_gpt":0.3444312329905118,"score_spread":0.29675567970903477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391798276","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008489849,0.99912375,0.0000574756,0.00024060915,0.00018603494,0.0000033438228,0.000025636915,0.0000020137263,0.00027622408],"genre_scores_gemma":[0.0005791861,0.9989052,0.000083735096,0.00016651853,0.00013832956,0.0000037807044,0.000023508364,7.768707e-7,0.00009897873],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956924,0.00009203036,0.00009687721,0.00008828976,0.00011421567,0.0000392943],"domain_scores_gemma":[0.9982651,0.0010504611,0.00022030497,0.000031651012,0.00037393582,0.000058655703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014173648,0.001058014,0.001781545,0.0033848719,0.00029956747,0.0015995206,0.0010763515,0.0014611968,0.0037374487],"category_scores_gemma":[0.002691531,0.00039947825,0.00090499286,0.0043980037,0.00045976826,0.0024326688,0.00097240123,0.0012771891,0.0009451763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112395275,0.00007368279,0.0004284242,0.09383134,0.0002672071,0.00013504706,0.00013143673,0.0005663184,0.000808706,0.0043815444,0.034080192,0.8651838],"study_design_scores_gemma":[0.000020126185,0.00019224027,0.001760768,0.035045575,0.0006270184,0.00055033213,0.00026185598,0.00015725382,0.00042951645,0.0015660415,0.9593503,0.0000390176],"about_ca_topic_score_codex":0.0026286943,"about_ca_topic_score_gemma":0.005992687,"teacher_disagreement_score":0.0037374487,"about_ca_system_score_codex":0.00090061745,"about_ca_system_score_gemma":0.0030545362,"threshold_uncertainty_score":0.012503028},"labels":[],"label_agreement":null},{"id":"W4391854754","doi":"10.2139/ssrn.4727833","title":"Optimal Sizing of Multi-Energy Microgrid with Electric Vehicle Integration: Considering Carbon Emission and Resilience Load","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Microgrid; Sizing; Resilience (materials science); Energy (signal processing); Carbon fibers; Automotive engineering; Computer science; Environmental science; Electrical engineering; Voltage; Materials science; Engineering; Physics; Chemistry; Algorithm","score_opus":0.004406308676576854,"score_gpt":0.20237687376422303,"score_spread":0.19797056508764618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391854754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47104707,0.0011961266,0.48568818,0.0007779333,0.00024343462,0.00028663193,0.00063005177,0.0008387861,0.039291844],"genre_scores_gemma":[0.9846272,0.0000844349,0.013514262,0.000027598106,0.00001602263,0.000040387782,0.000055203287,0.000027918202,0.0016070552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983585,0.000052754305,0.000007027953,0.000037492693,0.000026623038,0.000040293282],"domain_scores_gemma":[0.99981576,0.00006682972,0.00003369639,0.000015361824,0.00003988759,0.000028357783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038475505,0.00101539,0.0010456871,0.0005254661,0.00037320436,0.001331996,0.0008184306,0.00071492954,0.003638468],"category_scores_gemma":[0.00069472706,0.0005585129,0.0005618516,0.00063855,0.00033684843,0.00077434396,0.00048186348,0.0004661908,0.00027649986],"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":[0.00007905066,0.000026074755,0.0002819968,0.000048327172,0.000034349192,0.000061087194,0.000021115618,0.987427,0.0015407474,0.0014087285,0.00047852527,0.008593083],"study_design_scores_gemma":[0.000011625177,0.000037979633,0.0002793645,0.000005517202,0.000020054538,0.000014620519,0.000023759208,0.9974986,0.00041584022,0.0014895659,0.00019950434,0.0000036849076],"about_ca_topic_score_codex":0.00851076,"about_ca_topic_score_gemma":0.013023327,"teacher_disagreement_score":0.00851076,"about_ca_system_score_codex":0.0009171409,"about_ca_system_score_gemma":0.0011073058,"threshold_uncertainty_score":0.016922474},"labels":[],"label_agreement":null},{"id":"W4391911542","doi":"","title":"Electric Vehicle Coordinated Charging throughHierarchical Optimization models","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electric vehicle; Computer science; Automotive engineering; Engineering; Physics","score_opus":0.00814111504096251,"score_gpt":0.1945772069318997,"score_spread":0.18643609189093718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391911542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046463657,0.0011638041,0.88580847,0.001121167,0.00026760728,0.00010938459,0.0004983867,0.00024960187,0.06431785],"genre_scores_gemma":[0.9229998,0.00091370475,0.031064304,0.00028901963,0.00012224691,0.00019718413,0.00037276253,0.00014448217,0.043896534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996401,0.0001457329,0.000010172792,0.000049949474,0.00006742835,0.00008665579],"domain_scores_gemma":[0.99949944,0.0002401908,0.00007849515,0.000027210108,0.00011652567,0.000038086357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076745916,0.0012548221,0.001273736,0.00052557455,0.00052434363,0.0023300615,0.0012624995,0.0015220628,0.008924601],"category_scores_gemma":[0.0015697052,0.0006873777,0.0009759575,0.001268374,0.0007804515,0.0012940635,0.0013299957,0.0012326405,0.00067314727],"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":[0.000013402315,0.000009564036,0.000051319814,0.00001207148,0.0000076870665,0.000009407009,0.000005260604,0.99444723,0.000040889197,0.0036057264,0.0003907055,0.0014067136],"study_design_scores_gemma":[0.0000050694503,0.000007989638,0.00002762395,0.0000027996616,0.000003632913,0.000002712035,0.0000045989977,0.9980134,0.000028277442,0.0016001215,0.000301936,0.0000018357847],"about_ca_topic_score_codex":0.013312177,"about_ca_topic_score_gemma":0.009933055,"teacher_disagreement_score":0.013312177,"about_ca_system_score_codex":0.0012777634,"about_ca_system_score_gemma":0.0012064518,"threshold_uncertainty_score":0.029855788},"labels":[],"label_agreement":null},{"id":"W4392189984","doi":"10.1016/j.renene.2024.120237","title":"Development of a prediction-based scheduling control strategy with V2B mode for PV-building-EV integrated systems","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Key Research and Development Program of China","keywords":"Photovoltaic system; Renewable energy; Automotive engineering; Cost of electricity by source; Schedule; Scheduling (production processes); Energy consumption; Computer science; Reliability engineering; Engineering; Electricity generation; Power (physics); Electrical engineering; Operations management","score_opus":0.005684929917415801,"score_gpt":0.19917904654655091,"score_spread":0.19349411662913513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392189984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03916635,0.00023695393,0.9498451,0.00014187378,0.00014624714,0.00011481512,0.000056119738,0.0009740492,0.009318474],"genre_scores_gemma":[0.93475896,0.000089133064,0.06275373,0.000048719467,0.000026661643,0.0000778143,0.0000615449,0.000028595501,0.0021549005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987435,0.000016632337,0.000006895829,0.000028474895,0.00005442005,0.000019133811],"domain_scores_gemma":[0.9998766,0.000018497652,0.000016678536,0.000012263348,0.00006415964,0.000011759999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020681335,0.00040893155,0.0003683434,0.00019747007,0.0003404261,0.00046473125,0.00058993284,0.0002516089,0.0016663333],"category_scores_gemma":[0.0002882671,0.00018049568,0.00022988756,0.00017162766,0.0001394962,0.00030121912,0.00032229637,0.00040249116,0.00033677442],"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":[0.00024516514,0.00021840556,0.0015797863,0.00018950124,0.000066615656,0.00017792641,0.0001057844,0.589876,0.067375906,0.007804577,0.0032344826,0.32912594],"study_design_scores_gemma":[0.00001811092,0.00008802033,0.0003890371,0.000005901872,0.0000090711865,0.000024838924,0.000008321601,0.9933611,0.00433511,0.00049612235,0.0012584076,0.000005806821],"about_ca_topic_score_codex":0.008360157,"about_ca_topic_score_gemma":0.0086450605,"teacher_disagreement_score":0.008360157,"about_ca_system_score_codex":0.00027237993,"about_ca_system_score_gemma":0.00092073466,"threshold_uncertainty_score":0.01662296},"labels":[],"label_agreement":null},{"id":"W4392199452","doi":"10.1287/msom.2022.0587","title":"Frontiers in Operations: Battery as a Service: Flexible Electric Vehicle Battery Leasing","year":2024,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Downgrade; Business model; Profit (economics); Computer science; Service (business); Business; Automotive engineering; Marketing; Engineering; Economics; Computer security; Microeconomics; Power (physics)","score_opus":0.005985867821011092,"score_gpt":0.2093482351610657,"score_spread":0.2033623673400546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392199452","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13230486,0.004973985,0.50704515,0.0408806,0.0007558823,0.0006259908,0.0017168309,0.00029569233,0.31140113],"genre_scores_gemma":[0.96671385,0.0016950188,0.016708389,0.00066309556,0.00018545851,0.00022728271,0.00027149983,0.000060485356,0.013474946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849904,0.00073605136,0.000039852155,0.00028078308,0.00021311325,0.0002312224],"domain_scores_gemma":[0.9969861,0.0021277533,0.00027975297,0.00011435766,0.0002552992,0.0002367716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015484366,0.0012310387,0.0010837984,0.00053457613,0.0012852412,0.0058328556,0.0017415979,0.0040410724,0.022639522],"category_scores_gemma":[0.0072446065,0.00048343162,0.0009661571,0.0011952998,0.002611733,0.008363424,0.0022811769,0.0039506834,0.0015329921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017797439,0.00021151153,0.0023705128,0.00060243224,0.000046662786,0.0008822095,0.00063870643,0.1289889,0.00093223277,0.8106563,0.018961675,0.035530854],"study_design_scores_gemma":[0.00007250412,0.00018807662,0.0019388634,0.00027308048,0.00004681673,0.0006046682,0.002374809,0.28587025,0.0007761055,0.6706598,0.037103023,0.000092014016],"about_ca_topic_score_codex":0.007235665,"about_ca_topic_score_gemma":0.0041281907,"teacher_disagreement_score":0.022639522,"about_ca_system_score_codex":0.003808123,"about_ca_system_score_gemma":0.002665083,"threshold_uncertainty_score":0.0757367},"labels":[],"label_agreement":null},{"id":"W4392286444","doi":"10.18280/ijdne.190122","title":"An Examination of Hybrid PV-Biogas Power Plants for Electric Vehicle Charging Station Development in Indonesia","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Renewable energy; Net present value; Hybrid power; Engineering; Power station; Investment (military); Electricity; Charging station; Automotive engineering; Electric vehicle; Electricity generation; Biogas; Payback period; Environmental economics; Power (physics); Electrical engineering; Waste management; Production (economics); Economics","score_opus":0.00517128216688685,"score_gpt":0.22495225037661834,"score_spread":0.2197809682097315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392286444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97778237,0.00019278486,0.0025750052,0.00012785429,0.000009169969,0.00006985422,0.00014244839,0.000042739735,0.019057667],"genre_scores_gemma":[0.99653304,0.00019856145,0.0014946639,0.000009501544,0.000001178053,0.000012911247,0.00007550931,0.000008059213,0.0016665389],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984694,0.000036022226,0.0000088491115,0.000021121252,0.000063714455,0.000023301569],"domain_scores_gemma":[0.9998541,0.00003966349,0.00002076454,0.000011556887,0.000054639073,0.000019333631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035844606,0.0002032959,0.00014594007,0.00036560604,0.00034828272,0.00075279485,0.00034753096,0.00020950023,0.0012804082],"category_scores_gemma":[0.0003391252,0.0001684647,0.00033895829,0.0004522624,0.00018307274,0.00041011325,0.0002673538,0.00025276278,0.00021024523],"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":[0.00097408553,0.001346916,0.30368906,0.0015126629,0.00017969041,0.010010776,0.0014320001,0.25382462,0.14741689,0.013797387,0.003552677,0.26226333],"study_design_scores_gemma":[0.00017097146,0.0029998084,0.43112838,0.00022128492,0.00037346233,0.0023673577,0.011410812,0.36830235,0.1377002,0.0041166204,0.041089617,0.00011913124],"about_ca_topic_score_codex":0.0067146076,"about_ca_topic_score_gemma":0.015352959,"teacher_disagreement_score":0.0067146076,"about_ca_system_score_codex":0.0008225744,"about_ca_system_score_gemma":0.000805983,"threshold_uncertainty_score":0.013351083},"labels":[],"label_agreement":null},{"id":"W4392296454","doi":"10.1287/trsc.2023.0247","title":"Modeling and Solving the Traveling Salesman Problem with Speed Optimization for a Plug-In Hybrid Electric Vehicle","year":2024,"lang":"en","type":"article","venue":"Transportation Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Travelling salesman problem; Mathematical optimization; Benchmark (surveying); Discretization; Nonlinear system; Computer science; Integer programming; Nonlinear programming; Energy consumption; Optimization problem; Engineering; Mathematics; Electrical engineering","score_opus":0.00708887064662942,"score_gpt":0.20908548067234992,"score_spread":0.2019966100257205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392296454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03797285,0.00060126884,0.9496596,0.0005741124,0.00012797235,0.00014181982,0.0002868286,0.00018467076,0.010450932],"genre_scores_gemma":[0.66404235,0.0013009899,0.31862956,0.00019905323,0.00016400553,0.000605958,0.000733198,0.00015800862,0.014166859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996308,0.00014374474,0.000014690934,0.00009051966,0.00005690332,0.00006334073],"domain_scores_gemma":[0.99947196,0.0003579048,0.000060755414,0.000018887355,0.00006239986,0.000028109676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000763452,0.0013566705,0.00093983463,0.00054083293,0.00049509166,0.0013481074,0.0012756353,0.0015353222,0.0046756538],"category_scores_gemma":[0.0015833065,0.0007489427,0.001155155,0.0007853957,0.0006021644,0.0010984291,0.0007809991,0.0014210809,0.00040057348],"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":[0.000011206821,0.000020577067,0.00021030927,0.00004457071,0.000011065774,0.00004501561,0.00001531293,0.98882574,0.00018603994,0.006052515,0.0004922706,0.0040855417],"study_design_scores_gemma":[0.0000052609566,0.000011901062,0.000040515562,0.0000035769813,0.000004704751,0.000007824059,0.000012840473,0.99674714,0.000068464724,0.0026086408,0.0004866207,0.0000025013303],"about_ca_topic_score_codex":0.017964207,"about_ca_topic_score_gemma":0.016333554,"teacher_disagreement_score":0.017964207,"about_ca_system_score_codex":0.0011491452,"about_ca_system_score_gemma":0.0025584276,"threshold_uncertainty_score":0.035719275},"labels":[],"label_agreement":null},{"id":"W4392363553","doi":"10.1016/j.trc.2024.104529","title":"Adaptive robust electric vehicle routing under energy consumption uncertainty","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Electric vehicle; Vehicle routing problem; Consumption (sociology); Computer science; Automotive engineering; Routing (electronic design automation); Engineering; Transport engineering; Computer network; Electrical engineering","score_opus":0.046595616361700405,"score_gpt":0.29689981220713146,"score_spread":0.25030419584543107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392363553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0498004,0.00038300123,0.94482756,0.00025230547,0.000039211092,0.000044752895,0.00011537956,0.00021721053,0.0043202993],"genre_scores_gemma":[0.9668684,0.00025756218,0.029566366,0.000045214194,0.000023243374,0.00008857129,0.00013378214,0.00005168067,0.0029652165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999476,0.00015135379,0.00002030111,0.000165134,0.00008355147,0.000103748614],"domain_scores_gemma":[0.9991775,0.00048719958,0.00016517381,0.00003483016,0.00010508002,0.000030157049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009462179,0.0011156178,0.0012450218,0.00048565603,0.0003720403,0.0010895,0.0010547759,0.001084559,0.0013058964],"category_scores_gemma":[0.00203869,0.0006807071,0.00081364677,0.0006120749,0.0008033441,0.0008770892,0.0008787555,0.0009877689,0.00014341992],"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":[0.00000954165,0.000002708205,0.000059206563,0.000006656071,0.0000050610456,0.000015627045,0.000003911839,0.9977356,0.00015258633,0.000825809,0.000052162282,0.0011311341],"study_design_scores_gemma":[0.0000024996307,0.0000061489413,0.00004266665,8.529428e-7,0.0000022808524,0.00000369848,0.000002720301,0.9990466,0.00005789878,0.00078041165,0.000052357944,0.0000018463895],"about_ca_topic_score_codex":0.011160905,"about_ca_topic_score_gemma":0.005067936,"teacher_disagreement_score":0.011160905,"about_ca_system_score_codex":0.0011859552,"about_ca_system_score_gemma":0.0010028286,"threshold_uncertainty_score":0.022191882},"labels":[],"label_agreement":null},{"id":"W4392389614","doi":"10.1109/isgt59692.2024.10454222","title":"Impact of Level 2 EV Charging on Phase Unbalance in Distribution Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada","keywords":"Phase (matter); Distribution (mathematics); Electrical engineering; Computer science; Physics; Engineering; Mathematics","score_opus":0.009580953671601297,"score_gpt":0.2646493481700378,"score_spread":0.25506839449843655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392389614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98399496,0.00010824613,0.011661638,0.00004809329,0.0000152117655,0.000016630696,0.00013992122,0.00010748696,0.0039077466],"genre_scores_gemma":[0.9995135,0.000021628694,0.00029336064,0.0000035576718,0.0000021142994,0.0000013040685,0.00003133982,0.000004269426,0.00012890909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996112,0.0001400803,0.000015282776,0.000038031158,0.000111017216,0.00008436325],"domain_scores_gemma":[0.99911445,0.0005441503,0.00014926279,0.0000454072,0.00010714904,0.000039562015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041208882,0.00037465952,0.00030473387,0.00057594,0.00026001682,0.00067819597,0.00016426861,0.00034378096,0.0012164506],"category_scores_gemma":[0.0017738957,0.00014892976,0.00023129508,0.0006304663,0.00026558127,0.00062352256,0.00033484952,0.0002429487,0.0001392275],"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":[0.0014155862,0.000100323436,0.07547191,0.00011326861,0.000092463015,0.0018497735,0.00015300183,0.85611427,0.019875996,0.0018594216,0.00056749245,0.042386565],"study_design_scores_gemma":[0.00004920477,0.00091545127,0.11703919,0.000030763058,0.00010728396,0.0012985391,0.00062772137,0.86103547,0.014427057,0.0028526683,0.0015747831,0.00004177448],"about_ca_topic_score_codex":0.004069438,"about_ca_topic_score_gemma":0.005332233,"teacher_disagreement_score":0.004069438,"about_ca_system_score_codex":0.0005855416,"about_ca_system_score_gemma":0.00022714339,"threshold_uncertainty_score":0.008091509},"labels":[],"label_agreement":null},{"id":"W4392526028","doi":"10.26480/aem.02.2023.62.66","title":"OPTIMAL PLACEMENT AND SIZING OF ELECTRIC VEHICLE CHARGING INFRASTRUCTURE USING DC POWER FLOW MODEL","year":2023,"lang":"en","type":"article","venue":"Acta Electronica Malaysia","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sizing; Power flow; Automotive engineering; Electric vehicle; Power (physics); Flow (mathematics); Electrical engineering; Computer science; Engineering; Electric power system; Physics; Mechanics","score_opus":0.005939004560601371,"score_gpt":0.20788500571912832,"score_spread":0.20194600115852696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392526028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2411097,0.0011398282,0.6311511,0.0011779724,0.0001632018,0.00045283107,0.0028845344,0.0005479172,0.12137293],"genre_scores_gemma":[0.9606884,0.00031906462,0.02194866,0.000049600207,0.000016729751,0.00011348685,0.00045019898,0.000033725002,0.01638007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998869,0.000028036457,0.0000034915886,0.000025536592,0.00002235338,0.00003370907],"domain_scores_gemma":[0.9997627,0.00011665746,0.000030910942,0.0000074568866,0.00006251201,0.000019774478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025975987,0.000724095,0.0006554121,0.00048310502,0.0004960383,0.0011578883,0.0007518972,0.0008478743,0.0052641598],"category_scores_gemma":[0.0007318541,0.0005665835,0.00047381502,0.00076415326,0.0005257472,0.00039665063,0.00041258076,0.00056280755,0.0003548348],"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":[0.000011574781,0.000005367292,0.00016050396,0.00001035149,0.0000024760743,0.000017746786,0.0000055797386,0.9974153,0.00011434428,0.0008453549,0.0002483557,0.0011630984],"study_design_scores_gemma":[0.000004512169,0.0000063941598,0.000109328605,0.0000025080494,0.0000025192564,0.0000022427232,0.000010588789,0.99916923,0.000046901623,0.00034871485,0.00029539902,0.0000016618318],"about_ca_topic_score_codex":0.1952381,"about_ca_topic_score_gemma":0.18958049,"teacher_disagreement_score":0.1952381,"about_ca_system_score_codex":0.0030521979,"about_ca_system_score_gemma":0.0027145338,"threshold_uncertainty_score":0.38820338},"labels":[],"label_agreement":null},{"id":"W4392598748","doi":"10.32388/5p4hmt","title":"Review of: \"Assessing Reliability and Economic Viability of Different EV Charging Station Configurations\"","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Environmental science; Computer science; Engineering; Physics; Thermodynamics","score_opus":0.011698726404371786,"score_gpt":0.2712454719713289,"score_spread":0.2595467455669571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392598748","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008134837,0.2574721,0.017332949,0.26556414,0.19546555,0.0023512512,0.009358866,0.0015233841,0.24279699],"genre_scores_gemma":[0.061480425,0.5007248,0.017547268,0.052554067,0.08243079,0.0011709905,0.014623709,0.0011870558,0.2682809],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877549,0.002314612,0.0010538411,0.0005009527,0.007945902,0.0004298673],"domain_scores_gemma":[0.83168346,0.03120117,0.00437162,0.002790281,0.127857,0.002096492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015047114,0.0007224649,0.0012539368,0.006998866,0.0013852319,0.0037703628,0.002300988,0.0026934748,0.017926568],"category_scores_gemma":[0.08054114,0.00040736859,0.00074334646,0.005144902,0.0013581617,0.0030589143,0.0015638578,0.0015224853,0.012388392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055232318,0.000033661858,0.00030542252,0.003108045,0.000039576942,0.000048344402,0.00007201908,0.00027928932,0.0004405246,0.0025425276,0.85307944,0.13999602],"study_design_scores_gemma":[0.000021103353,0.00007616805,0.002853951,0.0033297276,0.00009832186,0.00008753513,0.0001269858,0.00036632945,0.0008422673,0.0013392774,0.9908283,0.000030109639],"about_ca_topic_score_codex":0.0073856055,"about_ca_topic_score_gemma":0.019404653,"teacher_disagreement_score":0.017926568,"about_ca_system_score_codex":0.0029266234,"about_ca_system_score_gemma":0.019673295,"threshold_uncertainty_score":0.079577744},"labels":[],"label_agreement":null},{"id":"W4392607804","doi":"10.1109/tvt.2024.3373906","title":"Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"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":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Control (management); Engineering; Control engineering; Artificial intelligence","score_opus":0.008474659776827303,"score_gpt":0.22898457972222447,"score_spread":0.22050991994539718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392607804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06081727,0.0004415717,0.93296784,0.00030523687,0.00007142622,0.000050365936,0.00002007452,0.0002522734,0.0050739697],"genre_scores_gemma":[0.9841061,0.00006683599,0.013982658,0.000072858405,0.000011674277,0.000059547412,0.000017503902,0.000009373489,0.0016733318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997303,0.00006236933,0.000013894333,0.000062648265,0.00006868483,0.000062081046],"domain_scores_gemma":[0.9996451,0.0001333879,0.000066586,0.00001879707,0.00010386873,0.000032204724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007247025,0.0006601435,0.00069416355,0.00023071934,0.00038649756,0.00055443944,0.0009052994,0.00061087636,0.0010156082],"category_scores_gemma":[0.00093095936,0.00030730446,0.00038211377,0.000200375,0.0005723444,0.00047575613,0.0007666686,0.00071567565,0.00011541462],"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":[0.000050185485,0.000039670693,0.00043884138,0.000030442401,0.000032792013,0.000059217826,0.000052422776,0.97258085,0.001771827,0.003415724,0.00042545222,0.02110255],"study_design_scores_gemma":[0.000006387747,0.000021034713,0.000046885023,0.000001305651,0.0000031901368,0.0000032587948,0.0000031843372,0.9992053,0.00013120582,0.0004732513,0.0001034018,0.0000016395472],"about_ca_topic_score_codex":0.011030791,"about_ca_topic_score_gemma":0.007531948,"teacher_disagreement_score":0.011030791,"about_ca_system_score_codex":0.0007305872,"about_ca_system_score_gemma":0.0010112002,"threshold_uncertainty_score":0.021933198},"labels":[],"label_agreement":null},{"id":"W4392713417","doi":"10.23977/jaip.2024.070112","title":"Optimization of Charging Strategies for New Energy Vehicles Based on Reinforcement Learning Algorithms","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Optimization algorithm; Energy (signal processing); Algorithm; Mathematical optimization; Artificial intelligence; Mathematics","score_opus":0.02341516628577652,"score_gpt":0.2862477507464974,"score_spread":0.2628325844607209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392713417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060561564,0.0004857474,0.9319533,0.00031901165,0.000102031074,0.00010944311,0.00003085325,0.00031548983,0.0061224545],"genre_scores_gemma":[0.9683894,0.00016004624,0.028892007,0.00012389277,0.000031912656,0.000112032234,0.00004248555,0.000025323354,0.0022230956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956757,0.00014007153,0.000023806377,0.00007920965,0.000088428314,0.00010087405],"domain_scores_gemma":[0.9988815,0.0006447556,0.00016042335,0.000030750798,0.00020612482,0.00007651564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009124924,0.0008471007,0.0013899859,0.00053484325,0.00036889527,0.0007915889,0.000987378,0.0008931583,0.0018838403],"category_scores_gemma":[0.0024915293,0.00039706094,0.0005840776,0.00031222266,0.0006997942,0.0005887061,0.00082512666,0.00089510804,0.0001994201],"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":[0.000029011146,0.000032761887,0.00039212473,0.000022769567,0.000019875675,0.000033258715,0.000017837028,0.98801583,0.00038773494,0.0016473659,0.00027377202,0.009127709],"study_design_scores_gemma":[0.000006444143,0.000010724277,0.000034024393,0.0000015523467,0.0000026106557,0.0000029595728,0.0000029935368,0.999413,0.000043719196,0.00042147853,0.000058991736,0.0000014560464],"about_ca_topic_score_codex":0.0076109273,"about_ca_topic_score_gemma":0.004507445,"teacher_disagreement_score":0.0076109273,"about_ca_system_score_codex":0.0008157775,"about_ca_system_score_gemma":0.0011177443,"threshold_uncertainty_score":0.015133262},"labels":[],"label_agreement":null},{"id":"W4392780360","doi":"10.1177/11786302241238171","title":"Norway’s Battery Electric Vehicles and Public Health- Findings From the Literature","year":2024,"lang":"en","type":"article","venue":"Environmental Health Insights","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Population; Incentive; Business; Air quality index; Natural resource economics; Public health; Environmental planning; Environmental health; Environmental science; Medicine; Economics; Geography; Ecology","score_opus":0.007131885168662003,"score_gpt":0.1984857852116691,"score_spread":0.1913539000430071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392780360","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01755113,0.9356984,0.000112566406,0.016404781,0.0014624072,0.000034986435,0.0037801876,0.000007649291,0.024947872],"genre_scores_gemma":[0.1638677,0.8268638,0.00027001352,0.0044934643,0.0010818221,0.00007173393,0.0019593153,0.000015718439,0.0013763494],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99700874,0.00070577674,0.00051188475,0.0004850427,0.0009562847,0.00033227057],"domain_scores_gemma":[0.9787931,0.015372743,0.0027836997,0.00022521094,0.0020781297,0.0007471648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004014907,0.00042459025,0.000776162,0.0056283223,0.0008737273,0.00366129,0.0009044536,0.001380784,0.012673031],"category_scores_gemma":[0.018610276,0.00039921195,0.0011549009,0.008544052,0.0017554907,0.0023920028,0.001673647,0.0010914973,0.0008719787],"study_design_candidate":"systematic_review","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":[0.00063109037,0.000502599,0.1852959,0.084984496,0.0012876649,0.0023229774,0.009210082,0.001118749,0.00018098016,0.03249881,0.13165599,0.5503107],"study_design_scores_gemma":[0.000093634306,0.0002273005,0.36755472,0.1491366,0.0011959667,0.0019131697,0.019963287,0.00024882218,0.000122058,0.0079987915,0.45142958,0.00011609674],"about_ca_topic_score_codex":0.11141412,"about_ca_topic_score_gemma":0.09444996,"teacher_disagreement_score":0.11141412,"about_ca_system_score_codex":0.005803104,"about_ca_system_score_gemma":0.012740563,"threshold_uncertainty_score":0.22153127},"labels":[],"label_agreement":null},{"id":"W4392861205","doi":"10.1007/s42835-024-01818-7","title":"Voltage Stability Index(VSI)-Based Optimal Vehicle-to-Grid(V2G) Charging/Discharging Strategy in Radial Distribution System","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Research Foundation of Korea; Korea Institute for Advancement of Technology","keywords":"Electrification; Automotive engineering; Greenhouse gas; Grid; Vehicle-to-grid; Voltage; Distribution grid; Electric vehicle; Computer science; Power (physics); Electrical engineering; Engineering; Electricity","score_opus":0.0034383297220797948,"score_gpt":0.18663002912578847,"score_spread":0.18319169940370866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392861205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28849488,0.0016722463,0.66405636,0.0008582101,0.0002815345,0.00018024306,0.0002009256,0.0010674737,0.043188144],"genre_scores_gemma":[0.9953681,0.0000739744,0.0036196592,0.00002777092,0.000011993251,0.000009758677,0.000022422779,0.000011453746,0.0008549413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997814,0.000045967507,0.000012966386,0.000046144072,0.000064267675,0.000049273483],"domain_scores_gemma":[0.9998379,0.000033724336,0.000024770006,0.0000061587375,0.000080353995,0.000017103934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152039,0.00066199293,0.0006965619,0.00041158963,0.00052141753,0.0011433918,0.00068509165,0.0004007029,0.0020480442],"category_scores_gemma":[0.00046577817,0.00017951531,0.000271421,0.00046285937,0.0002779806,0.00051149406,0.00043953213,0.00039860202,0.00021941276],"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":[0.00037190586,0.00012525987,0.0010595229,0.00016635182,0.000056309356,0.00013014064,0.00009382033,0.89891875,0.007974002,0.0059212074,0.0037718152,0.08141096],"study_design_scores_gemma":[0.000015800519,0.000086469336,0.00038856172,0.000006281429,0.000016685586,0.000025033702,0.00003141086,0.9970469,0.00084099354,0.0011687619,0.00036734433,0.000005796494],"about_ca_topic_score_codex":0.00727229,"about_ca_topic_score_gemma":0.008480956,"teacher_disagreement_score":0.00727229,"about_ca_system_score_codex":0.0008359398,"about_ca_system_score_gemma":0.0008918717,"threshold_uncertainty_score":0.014459968},"labels":[],"label_agreement":null},{"id":"W4392943661","doi":"10.1109/icmla58977.2023.00086","title":"Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Reinforcement learning; Weighting; Computer science; Enhanced Data Rates for GSM Evolution; Artificial intelligence","score_opus":0.00907345730650298,"score_gpt":0.21755379286244217,"score_spread":0.2084803355559392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392943661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059236348,0.00017031426,0.93792963,0.00009948831,0.000045948967,0.00004284516,0.000015083073,0.00032601302,0.0021342982],"genre_scores_gemma":[0.95560634,0.000045518147,0.042975366,0.00004498553,0.000016506583,0.000039587492,0.000021663276,0.000021727063,0.0012282665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997118,0.000100806086,0.00001362256,0.000060849503,0.000059050923,0.000053883407],"domain_scores_gemma":[0.99928373,0.00037742808,0.00008991669,0.000043990432,0.00015612585,0.000048742633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000989667,0.0006443771,0.0006997545,0.00032952917,0.00026101008,0.00041616964,0.00088137225,0.00057332555,0.0014426097],"category_scores_gemma":[0.0021233945,0.0003116059,0.00033863657,0.00029701853,0.00042722357,0.000678047,0.00063521974,0.00080738275,0.00020131642],"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":[0.000074242686,0.00006343062,0.00037002406,0.000019917117,0.000019163715,0.000024768728,0.000020560627,0.96521133,0.0015129143,0.0012429071,0.00025002434,0.03119072],"study_design_scores_gemma":[0.000004866893,0.000016870787,0.000034025594,9.25839e-7,0.0000019238153,0.000001956998,0.000001592549,0.99932444,0.00016288483,0.00039024456,0.000058728532,0.0000015381733],"about_ca_topic_score_codex":0.0049302406,"about_ca_topic_score_gemma":0.0044750962,"teacher_disagreement_score":0.0049302406,"about_ca_system_score_codex":0.00055107573,"about_ca_system_score_gemma":0.0006339931,"threshold_uncertainty_score":0.009803057},"labels":[],"label_agreement":null},{"id":"W4393232457","doi":"10.18280/mmep.110330","title":"Multi-objective Hybrid System Development: To Increase the Performance of Diesel/Photovoltaic/Wind/Battery System","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Automotive engineering; Battery (electricity); Diesel fuel; Wind power; Environmental science; Hybrid power; Computer science; Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.009118058966094722,"score_gpt":0.176246315574525,"score_spread":0.16712825660843028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393232457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38915554,0.0010173365,0.5868359,0.00041684086,0.00009299637,0.00016831954,0.00020254515,0.0006158182,0.021494688],"genre_scores_gemma":[0.9802238,0.00010432854,0.016940147,0.000027631606,0.000011931834,0.00005991512,0.00006494063,0.000021034011,0.0025463258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987006,0.00004684124,0.0000055557352,0.000023291243,0.00003279771,0.000021422793],"domain_scores_gemma":[0.99985564,0.00004318704,0.000022143013,0.00000847833,0.000058657177,0.000011827528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046564874,0.0005340363,0.00042732948,0.00029641797,0.00020820425,0.00081637746,0.00048748616,0.00036147507,0.0023260787],"category_scores_gemma":[0.000465359,0.00015450298,0.00027938455,0.0003223406,0.00012079538,0.0005380923,0.0004326993,0.00030443736,0.00017999316],"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":[0.000117781674,0.00008479808,0.00077791826,0.00017165233,0.00006952851,0.000061445826,0.000032861743,0.93986005,0.007027018,0.0018670555,0.00075615605,0.04917376],"study_design_scores_gemma":[0.000015861573,0.0001174724,0.0004983372,0.0000069324024,0.000018236076,0.0000139716085,0.000015660373,0.99684626,0.0014931601,0.00049898616,0.00047143412,0.0000036708745],"about_ca_topic_score_codex":0.0014527867,"about_ca_topic_score_gemma":0.0019937502,"teacher_disagreement_score":0.0023260787,"about_ca_system_score_codex":0.00028068208,"about_ca_system_score_gemma":0.00036176763,"threshold_uncertainty_score":0.0077815056},"labels":[],"label_agreement":null},{"id":"W4393306748","doi":"10.1016/j.jup.2024.101736","title":"Investment in vehicle-to-grid and distributed energy resources: Distributor versus prosumer perspectives and the impact of rate structures","year":2024,"lang":"en","type":"article","venue":"Utilities Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Prosumer; Distributor; Grid; Investment (military); Environmental economics; Industrial organization; Business; Microeconomics; Energy (signal processing); Computer science; Economics; Distributed computing; Engineering; Mathematics; Renewable energy; Electrical engineering; Mechanical engineering; Political science","score_opus":0.00571708364760123,"score_gpt":0.2392998346950529,"score_spread":0.23358275104745166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393306748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.722497,0.004064642,0.029108886,0.008881899,0.00008299614,0.00008039062,0.00023268677,0.00003702448,0.23501447],"genre_scores_gemma":[0.9927955,0.0010860504,0.0015690973,0.00011394608,0.000010900786,0.000009802584,0.000022841914,0.000007615638,0.004384128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988104,0.00067731994,0.00001729779,0.00009058193,0.00021277613,0.0001916954],"domain_scores_gemma":[0.9988487,0.0006729396,0.00012810138,0.000044796692,0.00021462154,0.000090854905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014939785,0.000512231,0.0003214114,0.000969237,0.000621766,0.00407228,0.00076099794,0.0011885081,0.003546731],"category_scores_gemma":[0.0021514446,0.00023431558,0.0003412604,0.0011655305,0.0013479468,0.0029173752,0.00088737067,0.0010066504,0.00017193299],"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":[0.00029279082,0.00024344662,0.020569313,0.00016043615,0.00010745236,0.001052215,0.0004158328,0.27402157,0.0033111596,0.6479142,0.0017898072,0.050121836],"study_design_scores_gemma":[0.00012059175,0.0013605105,0.05064541,0.0006640319,0.00039520796,0.0010916867,0.0103599755,0.565143,0.011899355,0.30000922,0.05814351,0.00016751753],"about_ca_topic_score_codex":0.009949731,"about_ca_topic_score_gemma":0.024843894,"teacher_disagreement_score":0.009949731,"about_ca_system_score_codex":0.0062473607,"about_ca_system_score_gemma":0.0017879256,"threshold_uncertainty_score":0.04532796},"labels":[],"label_agreement":null},{"id":"W4393346702","doi":"10.1016/j.tranpol.2024.03.015","title":"The impacts of optimization approaches on BEB system configuration in transit","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Canadian Transportation Research Forum; Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Greenhouse gas; Electricity; Capital cost; Schedule; Transit (satellite); Transport engineering; Environmental economics; Public transport; Bus rapid transit; Network planning and design; Computer science; Engineering; Telecommunications; Economics","score_opus":0.00948032411328735,"score_gpt":0.20360914828431073,"score_spread":0.1941288241710234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393346702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61231,0.0031138468,0.3394064,0.0018635916,0.00011225901,0.0002544911,0.00042303628,0.00027117346,0.042245254],"genre_scores_gemma":[0.9867691,0.0005857599,0.011295627,0.00004027061,0.000008815893,0.000033272358,0.00006842739,0.000032378193,0.001166364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990068,0.00064204994,0.000020476353,0.00008801459,0.00011270031,0.00013005456],"domain_scores_gemma":[0.9984365,0.0011397484,0.0001767508,0.000051773943,0.00014012774,0.000055073302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996001,0.0011617523,0.000692609,0.00077356695,0.0007016316,0.0018619037,0.0007614608,0.0010254419,0.0020516084],"category_scores_gemma":[0.0041286144,0.0005900703,0.0007501806,0.0013009061,0.0008151174,0.0012758261,0.0007316676,0.0009432511,0.00014556176],"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":[0.000023839935,0.000013969112,0.00053456577,0.000023169545,0.000014344964,0.000020099107,0.000014591988,0.9945404,0.0001355745,0.0019200775,0.00011513204,0.0026442024],"study_design_scores_gemma":[0.0000075540606,0.000057539415,0.0007715841,0.000015027127,0.000022529408,0.000016266215,0.00012269002,0.9958813,0.00026470632,0.0022871727,0.0005447128,0.000008983853],"about_ca_topic_score_codex":0.03209524,"about_ca_topic_score_gemma":0.029624738,"teacher_disagreement_score":0.03209524,"about_ca_system_score_codex":0.0028393017,"about_ca_system_score_gemma":0.0019940303,"threshold_uncertainty_score":0.063816905},"labels":[],"label_agreement":null},{"id":"W4393770812","doi":"10.5281/zenodo.3732107","title":"Repository: Will technology save the climate? The challenge of light-duty vehicle fleet electrification","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Duty; Environmental science; Heavy duty; Aeronautics; Automotive engineering; Engineering; Meteorology; Geography; Electrical engineering; Political science; Electricity","score_opus":0.010761425802803986,"score_gpt":0.19847153560051967,"score_spread":0.18771010979771569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393770812","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007790926,0.000084013336,0.0000548467,0.00010912917,0.000043935393,0.0000055649316,0.9986486,0.00026717878,0.0007089326],"genre_scores_gemma":[0.0003111119,0.00008320066,0.00016683822,0.00005002107,0.000008329922,0.000021028638,0.99890053,0.00003829733,0.0004206035],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887997,0.00019698402,0.00014376518,0.00027434021,0.00035071286,0.00015428636],"domain_scores_gemma":[0.9975291,0.0007205273,0.00023853577,0.00053561997,0.00073327054,0.00024305009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011550912,0.002328334,0.0014745018,0.0033531568,0.0008086116,0.0029819666,0.002977134,0.0027400116,0.05264919],"category_scores_gemma":[0.006294822,0.00050067005,0.0013190637,0.0068888776,0.00044863924,0.0018620818,0.0021513524,0.0018420026,0.08260101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036770896,0.000016712425,0.00056430756,0.0006314291,0.00002365955,0.000022728529,0.000014442393,0.00041233544,0.00008068537,0.0006110639,0.9957587,0.0018271006],"study_design_scores_gemma":[0.00016833146,0.00002242109,0.0037187336,0.0004662271,0.000034128367,0.00006916253,0.000073757925,0.00083902513,0.00042511878,0.0021730924,0.99197173,0.000038347996],"about_ca_topic_score_codex":0.024681183,"about_ca_topic_score_gemma":0.046275914,"teacher_disagreement_score":0.05264919,"about_ca_system_score_codex":0.0018477049,"about_ca_system_score_gemma":0.0024949482,"threshold_uncertainty_score":0.17612904},"labels":[],"label_agreement":null},{"id":"W4393843265","doi":"10.5281/zenodo.3961829","title":"Repository: Electrification of light-duty vehicle fleet alone will not meet mitigation targets","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Duty; Automotive engineering; Transport engineering; Business; Environmental science; Aeronautics; Engineering; Electrical engineering; Political science; Electricity","score_opus":0.009672581687349089,"score_gpt":0.19618774306933429,"score_spread":0.1865151613819852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393843265","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011149663,0.0000642722,0.00005150851,0.00008799802,0.000033972203,0.00000522397,0.9988016,0.00021224994,0.0006317359],"genre_scores_gemma":[0.00054028217,0.00007119686,0.00017903991,0.000051682833,0.0000068588847,0.000024119456,0.9986785,0.00003872468,0.0004095719],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919254,0.00013248388,0.00010599124,0.00020653359,0.00024734493,0.00011509455],"domain_scores_gemma":[0.9979663,0.00066555536,0.00021620693,0.0004025752,0.00058405835,0.00016540525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010827566,0.0018218777,0.001256761,0.0023094665,0.00062536006,0.002079761,0.0027165224,0.0026567145,0.0425833],"category_scores_gemma":[0.0054566553,0.00047536267,0.0012541923,0.0051175808,0.0003513331,0.0013750015,0.0014589792,0.001618391,0.051499695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000551502,0.000020580983,0.00078646577,0.0006917824,0.000036667043,0.000024701207,0.000012131853,0.0008060017,0.00009357169,0.0006469362,0.9950317,0.0017942878],"study_design_scores_gemma":[0.00034428673,0.00004191036,0.0068530417,0.0005753626,0.00006283659,0.00010102993,0.00008869666,0.0018813793,0.00064298604,0.0027785962,0.9865732,0.00005661858],"about_ca_topic_score_codex":0.02945117,"about_ca_topic_score_gemma":0.053789027,"teacher_disagreement_score":0.0425833,"about_ca_system_score_codex":0.0017837554,"about_ca_system_score_gemma":0.0023880678,"threshold_uncertainty_score":0.1424554},"labels":[],"label_agreement":null},{"id":"W4393864419","doi":"10.1109/tsg.2024.3384871","title":"An Efficient Method for Quantifying the Aggregate Flexibility of Plug-In Electric Vehicle Populations","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":37,"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":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Cornell Atkinson Center for Sustainability, Cornell University; Nature Conservancy","keywords":"Flexibility (engineering); Aggregate (composite); Plug-in; Electric vehicle; Computer science; Environmental science; Materials science; Mathematics; Statistics; Nanotechnology; Physics","score_opus":0.03381778577281522,"score_gpt":0.31058965106945513,"score_spread":0.2767718652966399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393864419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048514022,0.000056863057,0.99384356,0.000057177363,0.000014379961,0.0000234964,0.00005158569,0.00018135578,0.0009201692],"genre_scores_gemma":[0.33747476,0.00025167465,0.65831196,0.00015046334,0.000068105874,0.000354155,0.00051989715,0.00028976097,0.002579179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993236,0.00020396445,0.000029895677,0.0001174913,0.0002397506,0.000085283675],"domain_scores_gemma":[0.99795073,0.0012788589,0.00017082751,0.00024106374,0.00026572097,0.00009281806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430423,0.0010640535,0.00109668,0.00085663656,0.0004632719,0.0016603668,0.0014911622,0.0010591504,0.0031557952],"category_scores_gemma":[0.0060108732,0.0005359315,0.0011355452,0.0011623639,0.0010460853,0.0017046729,0.0016911261,0.0021189111,0.0006364802],"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":[0.00003041437,0.000025420644,0.00040201438,0.000037472626,0.000014645579,0.000027771493,0.000039731807,0.9661532,0.0010977556,0.012348361,0.00064738933,0.01917586],"study_design_scores_gemma":[0.000001769886,0.000007591397,0.000033955737,0.000003269213,0.0000016319717,0.0000073609785,0.0000065229146,0.9957568,0.00031660416,0.0036241547,0.00023790996,0.0000024619067],"about_ca_topic_score_codex":0.004159223,"about_ca_topic_score_gemma":0.004190171,"teacher_disagreement_score":0.004159223,"about_ca_system_score_codex":0.0013952837,"about_ca_system_score_gemma":0.0014432961,"threshold_uncertainty_score":0.010557175},"labels":[],"label_agreement":null},{"id":"W4394018241","doi":"10.1016/j.trd.2024.104178","title":"Allocate electric vehicles’ public charging stations with charging demand uncertainty","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Queueing theory; Sizing; Computer science; Traffic congestion; Greenhouse gas; Economic shortage; Grid; Charging station; Automotive engineering; Electric vehicle; Mathematical optimization; Transport engineering; Power (physics); Engineering; Computer network; Mathematics","score_opus":0.02066247330123581,"score_gpt":0.243168708216906,"score_spread":0.2225062349156702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394018241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5812696,0.00044007943,0.38243166,0.0018933602,0.00021902275,0.0002694135,0.0006576444,0.0006684258,0.032150745],"genre_scores_gemma":[0.9925364,0.000041296382,0.004584419,0.000034045042,0.0000256274,0.00002389281,0.00008179554,0.00002988131,0.0026426143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986222,0.0004050622,0.000045114215,0.00028414797,0.00015787939,0.00048562753],"domain_scores_gemma":[0.9976508,0.0013540805,0.00021785352,0.0002542367,0.00033952662,0.00018344703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002238132,0.000794641,0.0013307787,0.0007547569,0.000584084,0.0025206388,0.0013249802,0.0017244738,0.00844011],"category_scores_gemma":[0.006881076,0.00092517375,0.0007172833,0.0016304238,0.0005788824,0.0027423499,0.0012813434,0.0012023344,0.0006775134],"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":[0.0006430033,0.00011020262,0.0020845958,0.000037343743,0.000072526935,0.00007315372,0.00006449806,0.95456064,0.0010168479,0.010641471,0.0013135894,0.029382134],"study_design_scores_gemma":[0.00003843566,0.00008722712,0.0012560993,0.0000048272036,0.00003702337,0.000021928383,0.00013191669,0.98413426,0.00082691765,0.012207143,0.0012411865,0.000013021448],"about_ca_topic_score_codex":0.0043599554,"about_ca_topic_score_gemma":0.004050029,"teacher_disagreement_score":0.00844011,"about_ca_system_score_codex":0.0027247572,"about_ca_system_score_gemma":0.0019749214,"threshold_uncertainty_score":0.028234959},"labels":[],"label_agreement":null},{"id":"W4394564229","doi":"10.1109/access.2024.3385731","title":"An In-Depth Exploration of Electric Vehicle Charging Station Infrastructure: A Comprehensive Review of Challenges, Mitigation Approaches, and Optimization Strategies","year":2024,"lang":"en","type":"review","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electric vehicle; Systems engineering; Engineering","score_opus":0.06887199392593958,"score_gpt":0.3167732577484631,"score_spread":0.24790126382252353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394564229","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045654055,0.99310267,0.0015518323,0.00055660977,0.00020590713,0.000013568205,0.00004918671,0.000015797787,0.0040479205],"genre_scores_gemma":[0.0026489499,0.99523675,0.00090221735,0.00016847772,0.00013072445,0.000010109493,0.00004899317,0.000003939158,0.00084987166],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975497,0.00004122168,0.000027120164,0.000042435026,0.00011048339,0.000023743858],"domain_scores_gemma":[0.9993475,0.00036209033,0.00007042991,0.000018809047,0.00017896245,0.000022219443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006196417,0.0009526777,0.00090757775,0.0025168902,0.00027998426,0.0012471878,0.0007407382,0.0010072433,0.0037075204],"category_scores_gemma":[0.0009940871,0.0004135096,0.0006487651,0.003139903,0.00033797606,0.0019293461,0.0005613367,0.0010542515,0.0012696155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039052346,0.000100742254,0.00039470033,0.035069138,0.00012479268,0.00017675759,0.00014057016,0.004192068,0.0024527598,0.026240947,0.026698511,0.90437],"study_design_scores_gemma":[0.0000064147225,0.0001495589,0.0008998725,0.009607853,0.00018238561,0.0005713943,0.00021326638,0.0011257174,0.0009955416,0.007371094,0.9788401,0.000036747897],"about_ca_topic_score_codex":0.0018559473,"about_ca_topic_score_gemma":0.0033030175,"teacher_disagreement_score":0.0037075204,"about_ca_system_score_codex":0.0006424647,"about_ca_system_score_gemma":0.0018993223,"threshold_uncertainty_score":0.012402892},"labels":[],"label_agreement":null},{"id":"W4394618156","doi":"10.4271/2024-01-2176","title":"Investigating Route Gradient and Thermal Demand on Hydrogen Fuel Cell Electric Bus Energy Consumption","year":2024,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Energy consumption; Fuel cells; Automotive engineering; Thermal; Hydrogen fuel; Hydrogen; Fuel efficiency; Power demand; Computer science; Electrical engineering; Chemistry; Engineering; Power consumption; Physics; Chemical engineering; Thermodynamics; Power (physics)","score_opus":0.006448784497448601,"score_gpt":0.19897402225476435,"score_spread":0.19252523775731575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394618156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986754,0.000028037386,0.0003449031,0.0000072498633,0.0000014743945,0.0000032337516,0.00022412173,0.000013253679,0.0007023118],"genre_scores_gemma":[0.9992512,0.000030494795,0.00015584765,0.000001613493,7.3594185e-7,0.0000026548018,0.00021014978,0.000006163018,0.00034104852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99991834,0.000014053117,0.00000324583,0.00001971195,0.000025874373,0.000018769995],"domain_scores_gemma":[0.9994179,0.00033709366,0.0000669999,0.000026465017,0.00012982053,0.000021694463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247655,0.00028000266,0.00017643615,0.00030301645,0.000091176626,0.0002877602,0.00017752765,0.00025614633,0.0016781866],"category_scores_gemma":[0.0007483573,0.00014028522,0.0002920729,0.0004660419,0.0001128106,0.0002982435,0.00014732356,0.00017284296,0.0003638848],"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":[0.0015369361,0.00040024266,0.2971277,0.0002968383,0.00018961195,0.0011359382,0.00033400074,0.6038487,0.0641472,0.00076303363,0.0009834984,0.029236408],"study_design_scores_gemma":[0.000020265017,0.0010305415,0.56728953,0.00001999209,0.00013514179,0.00029804822,0.0011065453,0.38606423,0.042402204,0.00023527264,0.0013398459,0.00005834124],"about_ca_topic_score_codex":0.011234863,"about_ca_topic_score_gemma":0.016321162,"teacher_disagreement_score":0.011234863,"about_ca_system_score_codex":0.00030340612,"about_ca_system_score_gemma":0.00015583087,"threshold_uncertainty_score":0.022338927},"labels":[],"label_agreement":null},{"id":"W4394627455","doi":"10.1109/tte.2024.3386648","title":"Transition to Electric Commercial Fleet: Harnessing Grid Integration Opportunities for Accelerated Adoption","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Calgary","funders":"","keywords":"Grid; Business; Transition (genetics); Telecommunications; Computer science; Geography; Chemistry","score_opus":0.035728446181235,"score_gpt":0.25499846241790697,"score_spread":0.21927001623667197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394627455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2628357,0.00042672543,0.699118,0.0017831187,0.000045391494,0.00031280488,0.00026559219,0.00018301724,0.035029557],"genre_scores_gemma":[0.9694188,0.00018591397,0.026827497,0.00004408085,0.0000075897797,0.00007036526,0.00006848583,0.000022782402,0.003354446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996544,0.00013473733,0.0000084570265,0.000060864117,0.00004492442,0.000096550466],"domain_scores_gemma":[0.9994844,0.00025706668,0.00006883526,0.000028361907,0.00004982528,0.00011149138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079485914,0.00048627183,0.0003914062,0.00037281215,0.00037108606,0.0014836068,0.0009955809,0.001012182,0.0069991406],"category_scores_gemma":[0.002238557,0.00043155006,0.0005520933,0.00045398105,0.00053562963,0.0022865182,0.001315894,0.0014217116,0.000322833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087488734,0.000096162745,0.0016192079,0.00006449864,0.00002232283,0.00038792632,0.00012870623,0.9035138,0.0013464786,0.06465131,0.00095468195,0.027127353],"study_design_scores_gemma":[0.000019297255,0.00011494102,0.0007612114,0.00002957255,0.000013985638,0.000097651005,0.00027583595,0.9630189,0.0006098527,0.031607963,0.0034352737,0.000015538377],"about_ca_topic_score_codex":0.0048328945,"about_ca_topic_score_gemma":0.007792439,"teacher_disagreement_score":0.0069991406,"about_ca_system_score_codex":0.0011595003,"about_ca_system_score_gemma":0.0012272046,"threshold_uncertainty_score":0.023414433},"labels":[],"label_agreement":null},{"id":"W4394711223","doi":"10.1002/net.22219","title":"Maximum flow‐based formulation for the optimal location of electric vehicle charging stations","year":2024,"lang":"en","type":"article","venue":"Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Hydro-Québec; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Institut de Valorisation des Données; Hydro-Québec","keywords":"Electric vehicle; Flow (mathematics); Environmental science; Power flow; Computer science; Automotive engineering; Electrical engineering; Mechanics; Engineering; Physics; Power (physics); Electric power system; Thermodynamics","score_opus":0.006574409685676398,"score_gpt":0.21445929984263717,"score_spread":0.20788489015696077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394711223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028799778,0.00093798555,0.941164,0.001469913,0.00022029938,0.0003776376,0.0011986285,0.00027071973,0.0255611],"genre_scores_gemma":[0.68410814,0.0007563277,0.2890074,0.0004871281,0.00020294383,0.001012631,0.0012817273,0.00023362433,0.022910047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928814,0.00036163157,0.000020554715,0.00009944252,0.0001008722,0.00012933448],"domain_scores_gemma":[0.99845004,0.0011725634,0.00009526348,0.000024178991,0.00018737349,0.00007061512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020532815,0.0014961411,0.0015782184,0.0011155179,0.0005312045,0.0021012803,0.0018895271,0.002257682,0.011949157],"category_scores_gemma":[0.0041669407,0.0013153978,0.0011778713,0.0014213226,0.0009935432,0.0012042852,0.0010827715,0.0018424637,0.0006709184],"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":[0.000024554218,0.00002132756,0.000120133496,0.000046431058,0.00001172653,0.000035964375,0.000014985249,0.9903764,0.000118012416,0.005949615,0.0008398932,0.0024410046],"study_design_scores_gemma":[0.000009401666,0.00000924792,0.000034249515,0.000009488316,0.0000029676053,0.0000030856033,0.000011501016,0.99758005,0.00004108602,0.0019001707,0.0003961336,0.0000026256296],"about_ca_topic_score_codex":0.02517316,"about_ca_topic_score_gemma":0.022128984,"teacher_disagreement_score":0.02517316,"about_ca_system_score_codex":0.003224758,"about_ca_system_score_gemma":0.0029184294,"threshold_uncertainty_score":0.05005324},"labels":[],"label_agreement":null},{"id":"W4394727373","doi":"10.3390/tourhosp5020021","title":"The Great Canadian (Electric) Road Trip: Evaluating EV Use in National Park Tourism","year":2024,"lang":"en","type":"article","venue":"Tourism and Hospitality","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; National park; Geography; Regional science; Transport engineering; Environmental planning; Engineering; Archaeology","score_opus":0.012518031285846025,"score_gpt":0.24229527445135038,"score_spread":0.22977724316550435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394727373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99043244,0.00008965542,0.00016091503,0.000059209695,0.000011051235,0.00016303263,0.0016152203,0.000011489494,0.007456971],"genre_scores_gemma":[0.9932193,0.00020823404,0.0011247098,0.00004122827,0.0000042344236,0.00009819989,0.0028408414,0.000007240491,0.0024559575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940705,0.00006716583,0.00004113776,0.000040669616,0.00028617366,0.00015780305],"domain_scores_gemma":[0.99832815,0.000113869195,0.00023325034,0.00003915262,0.00080318144,0.00048237052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094072014,0.0003407909,0.00018772097,0.001417045,0.0012755279,0.001262464,0.0006949383,0.00030131705,0.0018012321],"category_scores_gemma":[0.0024633023,0.00011309054,0.0006890161,0.0015740284,0.0005165868,0.00051518413,0.0008810914,0.00048107663,0.0002814968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022762716,0.0003715796,0.96846604,0.000108824526,0.00010332632,0.00015960589,0.0021053196,0.0011300824,0.00039715617,0.00021251063,0.0026386096,0.02407925],"study_design_scores_gemma":[0.000004086413,0.000115920455,0.9923614,0.00003057027,0.000022745886,0.000031590134,0.004609751,0.0007931197,0.00013059104,0.000027777562,0.0018562386,0.0000161314],"about_ca_topic_score_codex":0.8795164,"about_ca_topic_score_gemma":0.9713823,"teacher_disagreement_score":0.12048358,"about_ca_system_score_codex":0.0075943107,"about_ca_system_score_gemma":0.00877742,"threshold_uncertainty_score":0.24238622},"labels":[],"label_agreement":null},{"id":"W4394734224","doi":"10.1016/j.egyr.2024.04.001","title":"Optimal sizing of multi-energy microgrid with electric vehicle integration: Considering carbon emission and resilience load","year":2024,"lang":"en","type":"article","venue":"Energy Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"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 Laval","funders":"","keywords":"Sizing; Microgrid; Resilience (materials science); Carbon fibers; Energy (signal processing); Automotive engineering; Computer science; Environmental science; Engineering; Materials science; Electrical engineering; Renewable energy; Physics","score_opus":0.003765907006258822,"score_gpt":0.18916391134935023,"score_spread":0.18539800434309142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394734224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4702516,0.0008312964,0.50800365,0.0004841197,0.00010707094,0.00022197487,0.00032622967,0.0005442234,0.01922986],"genre_scores_gemma":[0.9854447,0.00007408387,0.013540072,0.000020886735,0.000006229852,0.000035985526,0.000043695403,0.000013312347,0.0008210632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984694,0.000044439665,0.0000080608515,0.00003650268,0.000028487313,0.00003545557],"domain_scores_gemma":[0.999876,0.000036657726,0.000028628516,0.000011980598,0.000025386156,0.000021331098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003317783,0.000863083,0.0006942833,0.0003602753,0.00031263134,0.0009671237,0.0006790943,0.00047397538,0.0016042037],"category_scores_gemma":[0.0005626906,0.00045021318,0.00052177353,0.00037531852,0.0003329107,0.0008017378,0.0005311349,0.0004521904,0.00014046671],"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":[0.000060806244,0.00001984738,0.0006181993,0.00004435382,0.000025584091,0.00007968527,0.000023319342,0.98525906,0.00195924,0.0018882563,0.00034778254,0.0096738795],"study_design_scores_gemma":[0.000009249425,0.00003994919,0.0002513047,0.0000045076677,0.000013407552,0.000014080922,0.000027616392,0.9976471,0.00055287784,0.0011986959,0.00023708974,0.0000042125694],"about_ca_topic_score_codex":0.0067236386,"about_ca_topic_score_gemma":0.008440733,"teacher_disagreement_score":0.0067236386,"about_ca_system_score_codex":0.0009544597,"about_ca_system_score_gemma":0.0012237121,"threshold_uncertainty_score":0.013369024},"labels":[],"label_agreement":null},{"id":"W4394803651","doi":"10.1049/icp.2024.0968","title":"EV service stations for future smart cities","year":2024,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Pace; Service (business); Telecommunications; Computer science; Transport engineering; Business; Engineering; Marketing","score_opus":0.01163675861389521,"score_gpt":0.22217936650839012,"score_spread":0.21054260789449492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394803651","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0415502,0.019014742,0.1844223,0.10894551,0.011143668,0.0003987113,0.0014280485,0.0052253185,0.6278715],"genre_scores_gemma":[0.3742498,0.029651029,0.13249145,0.009672982,0.0024310793,0.00036600363,0.0038522677,0.0007626948,0.44652268],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999561,0.00007927601,0.00001916448,0.000045439494,0.00018501825,0.00011004317],"domain_scores_gemma":[0.9993279,0.000049356313,0.0000380024,0.000064742606,0.00028728275,0.00023263489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007125414,0.0006131799,0.00024991593,0.0004837799,0.001026548,0.002520574,0.0012484946,0.0021390896,0.051627185],"category_scores_gemma":[0.0010930675,0.00019433226,0.0003841789,0.00061558513,0.00039662205,0.003667174,0.002369589,0.0020573824,0.016965965],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001301358,0.00015145045,0.0018236612,0.0008376298,0.000016361673,0.0005052014,0.0010043968,0.00647863,0.0071701882,0.22762936,0.30035153,0.4539015],"study_design_scores_gemma":[0.000010143644,0.00005676251,0.00041910808,0.00014522599,0.000006900523,0.00013845024,0.00077211444,0.0025279261,0.00069053686,0.01558101,0.9796392,0.0000125630295],"about_ca_topic_score_codex":0.0020152242,"about_ca_topic_score_gemma":0.004490586,"teacher_disagreement_score":0.051627185,"about_ca_system_score_codex":0.0010796187,"about_ca_system_score_gemma":0.0025158753,"threshold_uncertainty_score":0.17271018},"labels":[],"label_agreement":null},{"id":"W4394832430","doi":"10.54254/2754-1169/74/20241518","title":"Financial Analysis and Future Outlook of Ford Motor Company","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Toronto","funders":"","keywords":"Automotive industry; Multinational corporation; General motors; Product (mathematics); Business; Marketing; Finance; Industrial organization; Financial analysis; Quality (philosophy); Economics; Engineering","score_opus":0.003270555439881565,"score_gpt":0.2149224564172041,"score_spread":0.21165190097732253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394832430","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28928873,0.07303465,0.0018595962,0.085154675,0.0038724951,0.0001702733,0.09967111,0.00036280966,0.44658566],"genre_scores_gemma":[0.7600718,0.059901077,0.0023144507,0.003026062,0.00184285,0.0001170052,0.049999546,0.00006556728,0.12266147],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940526,0.000039536568,0.0000344875,0.000059270304,0.00032740895,0.00013412767],"domain_scores_gemma":[0.99659,0.00019821918,0.00041145555,0.00003743204,0.0023744158,0.00038858058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008977049,0.00041536783,0.00012881437,0.003997955,0.0007555874,0.002752089,0.0002554203,0.00063432613,0.008605584],"category_scores_gemma":[0.0028237847,0.0000833782,0.00019406248,0.0035118056,0.00021293647,0.0014354152,0.00035496725,0.0007411954,0.0023234156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029930178,0.000104301485,0.12331723,0.00040825168,0.00005036413,0.00063811353,0.00037321,0.001340563,0.0007472622,0.038027696,0.55889356,0.2758001],"study_design_scores_gemma":[0.000015183244,0.0001544773,0.25192267,0.00045102558,0.00003758921,0.00038270268,0.0013043138,0.001447685,0.0008370885,0.0023018862,0.7410815,0.00006386352],"about_ca_topic_score_codex":0.05520231,"about_ca_topic_score_gemma":0.04547337,"teacher_disagreement_score":0.05520231,"about_ca_system_score_codex":0.004127887,"about_ca_system_score_gemma":0.0027788854,"threshold_uncertainty_score":0.10976201},"labels":[],"label_agreement":null},{"id":"W4394863533","doi":"10.2139/ssrn.4796664","title":"Impact of Electric Vehicles Charging on Urban Residential Power Distribution Networks","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Download; Computer science; Distribution (mathematics); Power (physics); World Wide Web; Physics","score_opus":0.003296729839133943,"score_gpt":0.2184411657880504,"score_spread":0.21514443594891644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394863533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639874,0.0004893239,0.0043916544,0.00086815096,0.00011737067,0.000022233151,0.0007739745,0.00011845762,0.029231472],"genre_scores_gemma":[0.9976513,0.00012985455,0.000116919655,0.000013748067,0.000012253909,0.0000015479842,0.0001223417,0.000012058823,0.0019399415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994917,0.0001931285,0.00000971369,0.000044266213,0.000088933244,0.00017223216],"domain_scores_gemma":[0.9975762,0.0016156131,0.00013621054,0.000081621445,0.0004695861,0.00012083063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053834805,0.00038662544,0.00041899655,0.0004749122,0.00055395614,0.0012724833,0.00052321557,0.00061998103,0.009727446],"category_scores_gemma":[0.0036275268,0.00019957303,0.00029912486,0.0014659509,0.0004964652,0.0012144286,0.00058451644,0.0005784417,0.00047703533],"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":[0.0008977367,0.0001318344,0.015022194,0.00011612995,0.000046434016,0.0006769496,0.00008701299,0.9465082,0.0025759384,0.011327673,0.0044547184,0.018155059],"study_design_scores_gemma":[0.000050542014,0.00030802583,0.033253115,0.000042809366,0.0001537751,0.0003527451,0.0015409726,0.9378541,0.0054068603,0.01685921,0.0041372855,0.000040476938],"about_ca_topic_score_codex":0.016978782,"about_ca_topic_score_gemma":0.019843081,"teacher_disagreement_score":0.016978782,"about_ca_system_score_codex":0.0017014302,"about_ca_system_score_gemma":0.00050903327,"threshold_uncertainty_score":0.033759892},"labels":[],"label_agreement":null},{"id":"W4394886246","doi":"10.5267/j.uscm.2024.2.007","title":"The factors influencing on “made in Vietnam” electric cars demand","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Commodity; Electric cars; Commerce; Product (mathematics); Business; Economics; Marketing; Market economy; Automotive engineering; Engineering","score_opus":0.00509964967556566,"score_gpt":0.20481561962995587,"score_spread":0.1997159699543902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394886246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98352736,0.00011542919,0.00033353432,0.00025328985,0.000010447843,0.000026706894,0.00038870252,0.000007439655,0.01533719],"genre_scores_gemma":[0.9961796,0.00013414279,0.00016121699,0.000023831863,0.0000039873707,0.000009279229,0.00032586302,0.000004847123,0.0031571789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958915,0.00006674993,0.000025537776,0.000064542866,0.00015804899,0.00009606638],"domain_scores_gemma":[0.9980915,0.00066617934,0.00034238052,0.00005343295,0.0006762475,0.00017012045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054249,0.0001764037,0.00012595717,0.00044145258,0.00045374464,0.0010060008,0.00022479157,0.00024679952,0.008778441],"category_scores_gemma":[0.0016617562,0.00016584623,0.00030641042,0.00067578716,0.00022477657,0.00055722665,0.00026359645,0.00040269495,0.00044517746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024769912,0.0002719937,0.939582,0.0003748884,0.0001000131,0.0020521365,0.0052268305,0.0031059296,0.010862658,0.0038825988,0.002585911,0.031707454],"study_design_scores_gemma":[0.00000595194,0.00008147104,0.9701704,0.000048373866,0.000035906258,0.00023534264,0.010691411,0.003178547,0.0032507216,0.0004152082,0.011854385,0.000032388558],"about_ca_topic_score_codex":0.034066338,"about_ca_topic_score_gemma":0.04550739,"teacher_disagreement_score":0.034066338,"about_ca_system_score_codex":0.0015213144,"about_ca_system_score_gemma":0.0010031024,"threshold_uncertainty_score":0.06773615},"labels":[],"label_agreement":null},{"id":"W4395048702","doi":"10.3390/en17091986","title":"Designing a Real-Time Implementable Optimal Adaptive Cruise Control for Improving Battery Health and Energy Consumption in EVs through V2V Communication","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Automotive engineering; Robustness (evolution); Energy consumption; Cooperative Adaptive Cruise Control; Battery (electricity); Computer science; Battery electric vehicle; Electric vehicle; Efficient energy use; Cruise control; Simulation; Engineering; Control (management); Power (physics); Electrical engineering","score_opus":0.012729823913191383,"score_gpt":0.24695576364889768,"score_spread":0.2342259397357063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395048702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0445791,0.00034497242,0.9487974,0.00015448393,0.000070800925,0.00007162444,0.000028452056,0.0005040992,0.0054490557],"genre_scores_gemma":[0.9850323,0.000115743045,0.013514247,0.000040719897,0.000019094188,0.000057632576,0.000029752955,0.000015401574,0.0011750393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980193,0.000025745738,0.000008100822,0.000053400618,0.00006433455,0.000046486497],"domain_scores_gemma":[0.9998548,0.000038934064,0.000027445021,0.000014454333,0.00005466064,0.000009685356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026129195,0.0005018177,0.00031963052,0.00022649483,0.00022610817,0.00047536808,0.00082120235,0.00043701375,0.0007441665],"category_scores_gemma":[0.00062658853,0.00015386213,0.00024919666,0.00014743808,0.00033634124,0.000430731,0.00055698137,0.00050085003,0.00017150873],"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":[0.00017366756,0.00007690637,0.0012859602,0.00017969185,0.000041284213,0.00017260949,0.00012750532,0.85693055,0.03663917,0.0058109276,0.0012403361,0.097321436],"study_design_scores_gemma":[0.000012583836,0.00014009122,0.00037716408,0.000009955194,0.000011026691,0.000036018053,0.000028788321,0.99167585,0.005172231,0.0010776134,0.0014504697,0.000008302334],"about_ca_topic_score_codex":0.0036508227,"about_ca_topic_score_gemma":0.0030886845,"teacher_disagreement_score":0.0036508227,"about_ca_system_score_codex":0.0002397737,"about_ca_system_score_gemma":0.000600873,"threshold_uncertainty_score":0.0072591305},"labels":[],"label_agreement":null},{"id":"W4395685049","doi":"10.2139/ssrn.4809031","title":"Identification of Key Factors that Influence Electric Vehicle Adoption: A Case Study of Okanagan (Canada)","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of British Columbia, Okanagan Campus","funders":"","keywords":"Key (lock); Identification (biology); Business; Electric vehicle; Computer science; Computer security; Power (physics); Ecology","score_opus":0.006309667315911081,"score_gpt":0.21344768109564707,"score_spread":0.20713801377973598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395685049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939194,0.00012922072,0.00012378115,0.0002293608,0.0000025296688,0.00003933447,0.00011770473,0.0000026845364,0.0054360987],"genre_scores_gemma":[0.9930609,0.0003091147,0.00035999133,0.00006404262,9.788018e-7,0.000016389791,0.0001636534,0.0000038516678,0.00602115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999445,0.000062958134,0.000012342031,0.00004511773,0.00012593361,0.00030856434],"domain_scores_gemma":[0.9991817,0.00020071938,0.00008275357,0.000025861427,0.00034262086,0.0001663389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045538423,0.00023099911,0.00023877768,0.00077748194,0.004930809,0.0017692283,0.0008657756,0.0006887367,0.0021396687],"category_scores_gemma":[0.0011380473,0.00018769092,0.00021637359,0.0021323175,0.0009881115,0.0004992221,0.001028863,0.00082657736,0.00019536355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003366617,0.0006971835,0.79142606,0.000304268,0.00007556745,0.011444549,0.11364568,0.0018613592,0.0060357694,0.0077330046,0.004690616,0.06174928],"study_design_scores_gemma":[0.000018285056,0.00008068115,0.63463163,0.0001454219,0.000056340745,0.0004817023,0.34328952,0.0015187265,0.0013246379,0.00024317892,0.01816482,0.000045025892],"about_ca_topic_score_codex":0.983183,"about_ca_topic_score_gemma":0.9945287,"teacher_disagreement_score":0.021408882,"about_ca_system_score_codex":0.021408882,"about_ca_system_score_gemma":0.031562213,"threshold_uncertainty_score":0.15533304},"labels":[],"label_agreement":null},{"id":"W4395700491","doi":"10.3934/environsci.2024013","title":"A comprehensive bi-objective optimization model to design circular supply chain networks for sustainable electric vehicle batteries","year":2024,"lang":"en","type":"article","venue":"AIMS environmental science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Electric vehicle; Circular economy; Supply chain; Chain (unit); Computer science; Business; Engineering; Ecology; Physics; Marketing; Biology","score_opus":0.00553057336642883,"score_gpt":0.18992822764186537,"score_spread":0.18439765427543653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395700491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035114236,0.00032443568,0.953767,0.00028357145,0.000043695658,0.00014542014,0.00019329597,0.00015421807,0.009974147],"genre_scores_gemma":[0.785899,0.00069127476,0.20077167,0.00013772016,0.00003286525,0.00081447995,0.000391812,0.00007518635,0.011185988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995085,0.00020508148,0.000021327895,0.00009159522,0.00010056946,0.00007296523],"domain_scores_gemma":[0.9993622,0.00036874186,0.000070335554,0.00002004829,0.0001408332,0.00003795763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015645354,0.0010870255,0.00092277746,0.00087964896,0.00056986144,0.0015433098,0.001162505,0.0016095303,0.0040382347],"category_scores_gemma":[0.001903473,0.0007939023,0.0010678901,0.001118486,0.0005585941,0.0012822108,0.0011170992,0.0011008746,0.00035080308],"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":[0.0000060415073,0.000009510954,0.00007158793,0.000014995989,0.000004865166,0.000015718133,0.000008160747,0.9971167,0.000116728355,0.0013210776,0.0000739678,0.0012406635],"study_design_scores_gemma":[0.0000018673358,0.000008148311,0.000020460096,0.0000021958256,0.000002339826,0.0000020162715,0.000005653414,0.99937195,0.000035628495,0.00042982528,0.00011856815,0.0000014047495],"about_ca_topic_score_codex":0.012534995,"about_ca_topic_score_gemma":0.0093911085,"teacher_disagreement_score":0.012534995,"about_ca_system_score_codex":0.0014737479,"about_ca_system_score_gemma":0.0021507323,"threshold_uncertainty_score":0.0249241},"labels":[],"label_agreement":null},{"id":"W4395961251","doi":"10.1016/j.energy.2024.131359","title":"A multi-stage optimization of battery electric bus transit with battery degradation","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Stage (stratigraphy); Degradation (telecommunications); Transit (satellite); Automotive engineering; Automotive battery; Environmental science; Public transport; Engineering; Electrical engineering; Computer science; Waste management; Power (physics); Biology; Physics","score_opus":0.007067541996201076,"score_gpt":0.18997589500616208,"score_spread":0.182908353009961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395961251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3707477,0.001066397,0.59275764,0.0010629685,0.0001420669,0.00028656024,0.0011098523,0.0004091599,0.032417715],"genre_scores_gemma":[0.97621584,0.00020495022,0.014820113,0.000062837884,0.000011295419,0.00015437661,0.000255547,0.000048474067,0.008226642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974126,0.00009771625,0.000007502063,0.000048340444,0.000042157895,0.00006300629],"domain_scores_gemma":[0.9995146,0.000293877,0.00005544597,0.000018188592,0.0000795791,0.000038348513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006741019,0.0009537539,0.0009554842,0.00041390696,0.00044677444,0.0013173623,0.0007617827,0.0014658308,0.0032751937],"category_scores_gemma":[0.0015381412,0.0006679664,0.0010916777,0.00048815462,0.0005687553,0.0007685818,0.00091189664,0.0010390526,0.0002620184],"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":[0.000019966721,0.000009187106,0.00021222798,0.00001590417,0.000006679842,0.000034420464,0.0000073113183,0.9978376,0.00025545928,0.0006588991,0.0001215074,0.00082076696],"study_design_scores_gemma":[0.000004526278,0.000019576557,0.00011730486,0.0000025832617,0.0000044580047,0.0000049243886,0.000008897608,0.99930716,0.00009948264,0.0002906914,0.00013810072,0.000002326032],"about_ca_topic_score_codex":0.017256115,"about_ca_topic_score_gemma":0.011286057,"teacher_disagreement_score":0.017256115,"about_ca_system_score_codex":0.001091201,"about_ca_system_score_gemma":0.0015419958,"threshold_uncertainty_score":0.034311354},"labels":[],"label_agreement":null},{"id":"W4396215101","doi":"10.2316/j.2024.203-0516","title":"TWO-WAY ENERGY MANAGEMENT OF ELECTRIC VEHICLE CHARGING STATION, 1-8.","year":2024,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Electrical engineering; Automotive engineering; Battery (electricity); Energy storage; Diesel generator; Voltage; Maximum power point tracking; State of charge; Grid-connected photovoltaic power system; Trickle charging; Generator (circuit theory); Electric vehicle; Grid; Power (physics); Engineering; Maximum power principle; Computer science; Diesel fuel; Physics","score_opus":0.003154293170686897,"score_gpt":0.20495127865387872,"score_spread":0.20179698548319183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396215101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3401708,0.0015085833,0.58074427,0.0007088612,0.0006972493,0.0004838432,0.0010030518,0.005362075,0.06932124],"genre_scores_gemma":[0.9723512,0.00013328668,0.012714545,0.000042168078,0.000033560413,0.000057615493,0.00024112394,0.000038799142,0.014387688],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997787,0.000031175307,0.00001656749,0.000058212656,0.000058204216,0.00005719833],"domain_scores_gemma":[0.9998754,0.000016697357,0.0000139692165,0.000024060068,0.000053222368,0.00001657671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020258826,0.00049177837,0.00028882115,0.00041673577,0.0005571221,0.0013377966,0.0009301468,0.0005301686,0.0072698053],"category_scores_gemma":[0.0003151871,0.00016755064,0.00025771337,0.0004032793,0.00012564001,0.00095591496,0.00058752816,0.00030303726,0.0016356232],"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":[0.0012069632,0.00055819395,0.013829161,0.0004446466,0.0001911517,0.0007111985,0.00028551588,0.17289664,0.09086761,0.026378652,0.016896317,0.67573404],"study_design_scores_gemma":[0.00010093777,0.0006844158,0.008144437,0.000045841152,0.00012330011,0.00068078144,0.00029789296,0.838446,0.086707465,0.010783984,0.053927485,0.000057421734],"about_ca_topic_score_codex":0.0010142568,"about_ca_topic_score_gemma":0.0025838874,"teacher_disagreement_score":0.0072698053,"about_ca_system_score_codex":0.00043699704,"about_ca_system_score_gemma":0.00042215825,"threshold_uncertainty_score":0.024319887},"labels":[],"label_agreement":null},{"id":"W4396230250","doi":"10.3390/en17092118","title":"Mean Field Game-Based Algorithms for Charging in Solar-Powered Parking Lots and Discharging into Homes a Large Population of Heterogeneous Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Solar powered; Parking lot; Electric vehicle; Population; Computer science; Algorithm; Photovoltaic system; Simulation; Automotive engineering; Engineering; Transport engineering; Electrical engineering; Solar energy; Physics; Civil engineering","score_opus":0.005682368206326174,"score_gpt":0.22386750179397366,"score_spread":0.2181851335876475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396230250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092765406,0.00017159562,0.89903307,0.0005057422,0.00006651977,0.00017652288,0.00011753544,0.00023466065,0.0069288434],"genre_scores_gemma":[0.92382467,0.000099758625,0.07143455,0.000180643,0.00002462173,0.00022950098,0.000117513904,0.000039575458,0.004049257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993001,0.00029249184,0.000024766556,0.00009606141,0.000086834436,0.00019967795],"domain_scores_gemma":[0.9976406,0.0016529632,0.0002098701,0.00006380989,0.00016362665,0.00026904585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443396,0.0009040737,0.0013880506,0.00066855643,0.0006430905,0.0010438513,0.0020453394,0.0012528946,0.002670983],"category_scores_gemma":[0.004126699,0.00039908258,0.0006534748,0.0006941073,0.0010360858,0.0011397625,0.0014068272,0.0010908004,0.00022048924],"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":[0.00009435099,0.0000549608,0.00055570976,0.000022677345,0.000025601303,0.0000552802,0.00007437998,0.9687057,0.00033535293,0.021452658,0.0009291793,0.0076942146],"study_design_scores_gemma":[0.000017003562,0.000021258365,0.000052922947,0.0000021115727,0.000002791902,0.00000914767,0.000018067036,0.9928489,0.000059769834,0.0067960573,0.00016838232,0.0000035188293],"about_ca_topic_score_codex":0.009405078,"about_ca_topic_score_gemma":0.008684763,"teacher_disagreement_score":0.009405078,"about_ca_system_score_codex":0.0022970517,"about_ca_system_score_gemma":0.0018454065,"threshold_uncertainty_score":0.01870066},"labels":[],"label_agreement":null},{"id":"W4396532430","doi":"10.22215/etd/2023-15957","title":"Particle Swarm Optimized Fuzzy Logic Energy Management of Hybrid Energy Storage in Electric Vehicles","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fuzzy logic; Particle swarm optimization; Energy storage; Computer science; Swarm behaviour; Energy management; Energy (signal processing); Automotive engineering; Engineering; Artificial intelligence; Physics; Algorithm; Power (physics)","score_opus":0.006271391845739077,"score_gpt":0.2064955370670108,"score_spread":0.20022414522127172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396532430","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18697166,0.0014760445,0.7817948,0.00055162486,0.00020858478,0.00012907549,0.00010497306,0.00026005748,0.028503226],"genre_scores_gemma":[0.96892536,0.00037532602,0.024719378,0.00005581144,0.000019905725,0.000071333365,0.00005176272,0.000011156829,0.0057699354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993134,0.000016107548,0.000004543585,0.000012314931,0.000020902506,0.000014894659],"domain_scores_gemma":[0.9999294,0.000024192703,0.000009117731,0.0000034302507,0.0000285113,0.0000054445395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024635167,0.00046362818,0.000460096,0.00020142777,0.00031158183,0.00076593034,0.00040922774,0.00045019304,0.0016900171],"category_scores_gemma":[0.00033134874,0.00020721184,0.00043719646,0.00018473894,0.00023343612,0.0002869304,0.0003062206,0.0004185117,0.00015983524],"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":[0.00006178936,0.000045482906,0.000387196,0.00004350941,0.000027982538,0.00004982346,0.000042709882,0.96790755,0.0026977547,0.0031679852,0.0006865183,0.024881605],"study_design_scores_gemma":[0.00000662892,0.000028700595,0.000112950125,0.000004210577,0.0000048717197,0.0000035531586,0.00000997203,0.9985189,0.0004476433,0.00057375303,0.0002864838,0.0000023015841],"about_ca_topic_score_codex":0.0085044205,"about_ca_topic_score_gemma":0.005292222,"teacher_disagreement_score":0.0085044205,"about_ca_system_score_codex":0.0005073867,"about_ca_system_score_gemma":0.00060381123,"threshold_uncertainty_score":0.016909838},"labels":[],"label_agreement":null},{"id":"W4396560886","doi":"10.1080/15568318.2024.2343727","title":"Life cycle thinking-based analysis of diesel and electric-powered buses for Canadian transit systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SAIT Polytechnic; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Diesel fuel; Electricity; Life-cycle assessment; Sustainability; Environmental economics; Greenhouse gas; Total cost of ownership; Transport engineering; Public transport; Engineering; Business; Automotive engineering; Production (economics); Economics","score_opus":0.003436755831726245,"score_gpt":0.20887151625330183,"score_spread":0.20543476042157557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8765641,0.0012244141,0.03484517,0.0009727225,0.000040391464,0.0005386687,0.003810012,0.000085809435,0.08191875],"genre_scores_gemma":[0.982951,0.00053415005,0.01017917,0.00003801797,0.0000039841484,0.00007473874,0.00134486,0.00001855412,0.0048556314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995864,0.00007210784,0.000010743448,0.00003528804,0.0001379116,0.000157614],"domain_scores_gemma":[0.9994773,0.000116258256,0.00003783348,0.000010755182,0.00029987906,0.000057952744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080479996,0.000836757,0.00031194356,0.0026727736,0.0014424422,0.0023826363,0.0008305059,0.00043823314,0.003066924],"category_scores_gemma":[0.0011310348,0.00023526498,0.001122662,0.00236079,0.00064626825,0.0006703179,0.00060642004,0.0005783747,0.00012847004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117599135,0.0000916938,0.023806587,0.00020785343,0.0001077018,0.0003689728,0.0006732018,0.8955658,0.0023029363,0.046299152,0.0023132365,0.028145326],"study_design_scores_gemma":[0.0000193646,0.00010272703,0.04082792,0.00009459732,0.00015419624,0.000046317095,0.0032044894,0.9328221,0.0014811106,0.010162612,0.011004476,0.00008011452],"about_ca_topic_score_codex":0.9393387,"about_ca_topic_score_gemma":0.95002913,"teacher_disagreement_score":0.060661316,"about_ca_system_score_codex":0.04147431,"about_ca_system_score_gemma":0.02691484,"threshold_uncertainty_score":0.30091858},"labels":[],"label_agreement":null},{"id":"W4396621531","doi":"10.1155/2024/9926334","title":"Accounting for BEV Users’ Risk Attitudes and Charging Inertia in En Route Charging Choice Behavior","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Inertia; Transport engineering; Computer science; Simulation; Engineering; Physics; Classical mechanics","score_opus":0.00502750271616664,"score_gpt":0.24241484525827534,"score_spread":0.2373873425421087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396621531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923373,0.00007568715,0.0059717507,0.000072714916,0.0000060031416,0.00002619425,0.000089300156,0.0000124408025,0.001408625],"genre_scores_gemma":[0.99825186,0.000045394314,0.0012454523,0.000010356972,0.0000035225858,0.000015897638,0.0001214758,0.000002613331,0.0003033796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990085,0.0004747009,0.000063022526,0.00013031489,0.00019450238,0.00012900514],"domain_scores_gemma":[0.9938247,0.0037854502,0.0011367847,0.0004735246,0.0005173078,0.0002623623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016960276,0.0004378185,0.00031474777,0.0007105854,0.0003680238,0.0013692037,0.00034976288,0.00046255902,0.0020513458],"category_scores_gemma":[0.009880275,0.00018435005,0.0009892334,0.0009659331,0.00031234292,0.0011821019,0.00082486094,0.00073876814,0.00030312856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001686956,0.00026645855,0.96656513,0.000055785138,0.00016748562,0.0000736812,0.000950636,0.0072323713,0.0005633116,0.0013923108,0.00014726301,0.022416852],"study_design_scores_gemma":[0.000011176079,0.00034719388,0.889945,0.00006728472,0.00029956197,0.00014965213,0.0028704244,0.10012317,0.00091093505,0.0034610543,0.0017610114,0.000053596446],"about_ca_topic_score_codex":0.009742133,"about_ca_topic_score_gemma":0.013241782,"teacher_disagreement_score":0.009742133,"about_ca_system_score_codex":0.00047334126,"about_ca_system_score_gemma":0.0007238477,"threshold_uncertainty_score":0.019370854},"labels":[],"label_agreement":null},{"id":"W4396713205","doi":"10.2139/ssrn.4820180","title":"Impact of the Car Fleet Evolution on Electricity Demand in Québec","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Electricity demand; Electricity; Environmental science; Economics; Business; Electricity generation; Engineering; Power (physics); Electrical engineering; Physics","score_opus":0.0034081979365363025,"score_gpt":0.21486540303647597,"score_spread":0.21145720509993968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396713205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98356146,0.0003408665,0.0002596291,0.0010324928,0.000029149252,0.000010761265,0.0066442424,0.000033302986,0.00808797],"genre_scores_gemma":[0.9934801,0.00012665727,0.00005359831,0.000059028465,0.0000052292057,0.0000022274855,0.0015190352,0.000012080633,0.004742069],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996363,0.00006024252,0.000014379522,0.00005905265,0.00008233164,0.00014759765],"domain_scores_gemma":[0.99857736,0.00031586646,0.00015474675,0.000045495937,0.00066811364,0.00023836417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042895222,0.0002888911,0.0003736905,0.0007520262,0.0007594393,0.0020237484,0.00078638643,0.0007740134,0.008392651],"category_scores_gemma":[0.0019996157,0.00024161466,0.0005192017,0.0014569473,0.00044408816,0.00072310574,0.00048125343,0.0007609617,0.00046067397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010021541,0.00022029316,0.71528286,0.000113559974,0.00048230067,0.001773682,0.0004319987,0.23616812,0.0036817966,0.0050878446,0.015342914,0.020412456],"study_design_scores_gemma":[0.000031995114,0.00008771157,0.8399403,0.000036159152,0.00008012281,0.000109903165,0.0016251281,0.1469899,0.0007012407,0.00034862958,0.009988163,0.00006079718],"about_ca_topic_score_codex":0.98247415,"about_ca_topic_score_gemma":0.98338014,"teacher_disagreement_score":0.021133803,"about_ca_system_score_codex":0.021133803,"about_ca_system_score_gemma":0.006103301,"threshold_uncertainty_score":0.15333718},"labels":[],"label_agreement":null},{"id":"W4396811948","doi":"10.2172/2346115","title":"Ontario International Airport Fleet Electrification Blueprint: Zero-Emission Vehicle Technology Assessment for Energy Optimization [Slides]","year":2022,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Electrification; Blueprint; Grid; Key (lock); Transport engineering; Electric vehicle; Engineering; Systems engineering; Computer science; Operations research; Electrical engineering; Electricity; Computer security; Power (physics); Mechanical engineering","score_opus":0.00963533416784016,"score_gpt":0.24681993443504327,"score_spread":0.23718460026720312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396811948","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015168678,0.005331415,0.020796536,0.0064261816,0.00081456994,0.0017872519,0.15591587,0.0016337134,0.7921258],"genre_scores_gemma":[0.06963023,0.010144572,0.031663533,0.0005936024,0.00016088506,0.0009173509,0.11485342,0.0011223466,0.77091396],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888927,0.00006392584,0.000019062167,0.000037465164,0.0008691225,0.00012113896],"domain_scores_gemma":[0.9987758,0.00005440834,0.000037011658,0.000052682797,0.0010043537,0.00007582822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012673887,0.0014338687,0.00047954582,0.00197313,0.0012994987,0.0018222939,0.00093027356,0.00080670445,0.036183987],"category_scores_gemma":[0.0011618697,0.00059727556,0.0004896382,0.0032601445,0.00036084827,0.00086648,0.0006030385,0.0008675721,0.009530778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012625506,0.0001226489,0.0023858584,0.0002352079,0.00002663109,0.000074451214,0.000103241335,0.013983908,0.0014158807,0.005419965,0.9030103,0.07309568],"study_design_scores_gemma":[0.00007139837,0.00008546341,0.01499944,0.00024624227,0.0000233519,0.00004210813,0.0002511411,0.012835979,0.0029488185,0.0021119898,0.9663333,0.00005077466],"about_ca_topic_score_codex":0.81621945,"about_ca_topic_score_gemma":0.88814205,"teacher_disagreement_score":0.18378055,"about_ca_system_score_codex":0.013540853,"about_ca_system_score_gemma":0.025669863,"threshold_uncertainty_score":0.3697257},"labels":[],"label_agreement":null},{"id":"W4396858892","doi":"10.1016/j.tranpol.2024.05.009","title":"Multi-stage layout strategies of intercity charging and swapping infrastructure for electric logistics vehicles: random, radical, or conservative?","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","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 Victoria","funders":"","keywords":"Stage (stratigraphy); Electric vehicle; Transport engineering; Automotive engineering; Business; Computer science; Engineering; Physics; Geology","score_opus":0.025954750408726582,"score_gpt":0.2866435839770155,"score_spread":0.2606888335682889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396858892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43432948,0.0010733088,0.47828457,0.006096412,0.00036095455,0.0006147157,0.0004925432,0.00060705363,0.07814096],"genre_scores_gemma":[0.9794988,0.00015884297,0.014067549,0.00019143354,0.000029872223,0.000054250257,0.000037063368,0.000033962642,0.0059283045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981863,0.0010117652,0.00004201212,0.00019754832,0.00016371412,0.00039865138],"domain_scores_gemma":[0.995695,0.0025732575,0.0005152988,0.00041431712,0.00038496873,0.0004172106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035153683,0.00054671685,0.00091364904,0.0004706797,0.00070238893,0.0018911896,0.0026442723,0.0015166894,0.013558845],"category_scores_gemma":[0.0096358275,0.0008057745,0.0008093459,0.00062301767,0.0010728954,0.0032639212,0.0010318574,0.0014671638,0.0007290599],"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":[0.00075671705,0.0003715129,0.0041258275,0.00024335834,0.00017269622,0.00023562212,0.0003346773,0.6549912,0.0026516656,0.25429907,0.007444426,0.074373126],"study_design_scores_gemma":[0.00025884763,0.00076639355,0.006594901,0.00008301019,0.00014781622,0.00015874041,0.0009306276,0.7709479,0.0018504448,0.20971648,0.00843294,0.000111879286],"about_ca_topic_score_codex":0.005521876,"about_ca_topic_score_gemma":0.01705494,"teacher_disagreement_score":0.013558845,"about_ca_system_score_codex":0.0023348106,"about_ca_system_score_gemma":0.002107655,"threshold_uncertainty_score":0.045358837},"labels":[],"label_agreement":null},{"id":"W4396883200","doi":"10.1088/2516-1083/ad4b8f","title":"Equitable charging infrastructure for electric vehicles: access and experience","year":2024,"lang":"en","type":"article","venue":"Progress in Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Telecommunications; Electric vehicle; Transport engineering; Computer science; Engineering; Physics","score_opus":0.008117287494408126,"score_gpt":0.25911639654936364,"score_spread":0.2509991090549555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396883200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95363736,0.0003923847,0.0013841524,0.0016181286,0.000016300282,0.000012525004,0.00006023383,0.000012207835,0.042866822],"genre_scores_gemma":[0.9989675,0.0001216718,0.00009882352,0.000053258544,0.0000035516482,0.000003037509,0.000012108369,0.0000018288072,0.0007380556],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9992131,0.00041661755,0.000028952487,0.000050101276,0.0001381827,0.0001530023],"domain_scores_gemma":[0.99889165,0.00046425243,0.0001872968,0.00006762035,0.00018900032,0.00020021727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013214351,0.000091524715,0.00012814999,0.00043691855,0.0010579762,0.0030354662,0.00034574184,0.00043756524,0.0054439255],"category_scores_gemma":[0.0037542472,0.00006731886,0.00011440197,0.00058974593,0.0016843444,0.0030062646,0.0029147812,0.00052660104,0.00027891825],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021561785,0.0004088139,0.1991233,0.00031914792,0.000054733027,0.0011513764,0.53514427,0.002259991,0.0024009566,0.093171574,0.009207985,0.15654227],"study_design_scores_gemma":[0.000017820983,0.0002972071,0.10705365,0.00029024173,0.00003410765,0.00097505114,0.76015,0.0027975768,0.00068477006,0.026553018,0.101082966,0.000063630636],"about_ca_topic_score_codex":0.0045190845,"about_ca_topic_score_gemma":0.0056605926,"teacher_disagreement_score":0.0054439255,"about_ca_system_score_codex":0.00091740437,"about_ca_system_score_gemma":0.0004947416,"threshold_uncertainty_score":0.018211782},"labels":[],"label_agreement":null},{"id":"W4396932053","doi":"10.1049/pbpo241g_ch18","title":"Advanced charging and battery management systems for E-mobility","year":2024,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Battery (electricity); Computer science; Electrical engineering; Engineering; Physics","score_opus":0.004338076535328694,"score_gpt":0.1787222041015274,"score_spread":0.1743841275661987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396932053","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03131561,0.02281309,0.71621406,0.0055778213,0.004420532,0.0008337965,0.0020618318,0.013559479,0.20320374],"genre_scores_gemma":[0.6831499,0.015772993,0.09999486,0.0031454947,0.0013863617,0.00062075775,0.003657176,0.00048511065,0.19178735],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997272,0.00003682879,0.000022910432,0.000040953186,0.00013343245,0.00003866226],"domain_scores_gemma":[0.9997702,0.000022914828,0.000017262908,0.000042224947,0.00013125534,0.000016180697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002979664,0.00050264347,0.00040496513,0.000557517,0.0005353655,0.0012542409,0.0013566015,0.0009654334,0.024116088],"category_scores_gemma":[0.000653757,0.0001407797,0.000318821,0.0009058672,0.00019676375,0.0019446912,0.0011012297,0.0007015597,0.011957757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024380269,0.00015230266,0.0010836469,0.0007828121,0.000051703995,0.00040513286,0.00018529512,0.008922274,0.028709281,0.033328146,0.093536526,0.83259904],"study_design_scores_gemma":[0.000071407274,0.0003157368,0.0018051874,0.00027156092,0.000070817936,0.0011261149,0.0002459655,0.070134655,0.027767995,0.02714399,0.870961,0.00008542208],"about_ca_topic_score_codex":0.0007900756,"about_ca_topic_score_gemma":0.00083627837,"teacher_disagreement_score":0.024116088,"about_ca_system_score_codex":0.00042022657,"about_ca_system_score_gemma":0.00044630858,"threshold_uncertainty_score":0.08067638},"labels":[],"label_agreement":null},{"id":"W4396937610","doi":"10.1088/2634-4505/ad397e","title":"Are vehicle lifespan caps an effective and efficient method for reducing US light-duty vehicle fleet GHG emissions?","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Saudi Aramco; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Greenhouse gas; Life-cycle assessment; Software deployment; Occupancy; Automotive engineering; Electric vehicle; Work (physics); Market penetration; Environmental economics; Environmental science; Engineering; Production (economics); Economics","score_opus":0.007475446528370366,"score_gpt":0.29721067717240457,"score_spread":0.2897352306440342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396937610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75635713,0.0022826665,0.19118784,0.0023415592,0.00019726997,0.00066076504,0.0018102296,0.0006537492,0.044508856],"genre_scores_gemma":[0.98507535,0.00031478066,0.012815546,0.00008324963,0.00000963101,0.00008631992,0.00022179034,0.000020938247,0.0013723626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931836,0.0002869257,0.000017829856,0.00006217803,0.0002261455,0.000088547604],"domain_scores_gemma":[0.99879515,0.000509237,0.00022723874,0.00008748277,0.00031310532,0.000067616784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759203,0.0007084376,0.00036240017,0.00084469386,0.00029663648,0.0009898419,0.000982634,0.0006436945,0.002504665],"category_scores_gemma":[0.0038595172,0.00027496932,0.00064092356,0.000443393,0.00037311527,0.0014947135,0.0006315934,0.00080371666,0.00024029368],"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":[0.00016924331,0.0001403502,0.005548825,0.00012496393,0.00006304986,0.000084525556,0.000032016294,0.9372587,0.0035299822,0.008069067,0.0016989429,0.04328035],"study_design_scores_gemma":[0.000054700366,0.00076781237,0.006755418,0.0001147937,0.0000785336,0.00006393559,0.00028520683,0.96461016,0.009300033,0.009698119,0.008215246,0.000055951426],"about_ca_topic_score_codex":0.010141631,"about_ca_topic_score_gemma":0.008197135,"teacher_disagreement_score":0.010141631,"about_ca_system_score_codex":0.0014283342,"about_ca_system_score_gemma":0.0018370093,"threshold_uncertainty_score":0.020165205},"labels":[],"label_agreement":null},{"id":"W4397034408","doi":"10.1007/s40866-024-00206-4","title":"The Potential of Vehicle-to-Home Integration for Residential Prosumers: A Case Study","year":2024,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business","score_opus":0.003096063236907057,"score_gpt":0.2059223933165665,"score_spread":0.20282633007965944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397034408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798219,0.00012958697,0.007277498,0.0001624128,0.000020866184,0.000091829424,0.00023880061,0.000096311785,0.012160645],"genre_scores_gemma":[0.9969988,0.000039900657,0.0016122038,0.0000071315258,0.0000023141615,0.000016278846,0.000045164066,0.000005553746,0.0012727301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996512,0.00017950269,0.000009724965,0.000028920218,0.000052540534,0.000078104254],"domain_scores_gemma":[0.9992866,0.00042721137,0.000036680834,0.000066357214,0.00010601901,0.00007718492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060908287,0.00065610115,0.00044139533,0.000458548,0.00066642853,0.0009964478,0.0010150302,0.0012531762,0.0043006986],"category_scores_gemma":[0.00081245485,0.0002790196,0.0005640171,0.0006008384,0.0005858718,0.00083922636,0.0007668819,0.0007626488,0.0003532678],"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":[0.000426019,0.00048542517,0.007833099,0.00012265058,0.000059625385,0.0027671966,0.00017740755,0.9695358,0.002869162,0.005893076,0.0010914529,0.008739149],"study_design_scores_gemma":[0.00008045031,0.00054234196,0.003389767,0.000018963536,0.000049840146,0.0003166512,0.00081328844,0.9870263,0.003342536,0.0024232054,0.0019669647,0.000029771416],"about_ca_topic_score_codex":0.01028866,"about_ca_topic_score_gemma":0.012852042,"teacher_disagreement_score":0.01028866,"about_ca_system_score_codex":0.0009201374,"about_ca_system_score_gemma":0.00049075304,"threshold_uncertainty_score":0.020457566},"labels":[],"label_agreement":null},{"id":"W4398383649","doi":"10.7910/dvn/fie0s4/hagcq7","title":"Electricity_DWE.tab","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electricity; Engineering","score_opus":0.005083834490433027,"score_gpt":0.1909875724014104,"score_spread":0.18590373791097736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398383649","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023722312,0.00004646577,0.0000701041,0.000064970875,0.000033452914,0.000008070576,0.9979171,0.0007699128,0.00085268775],"genre_scores_gemma":[0.0007019731,0.000046165555,0.00019220685,0.000042549178,0.000009804564,0.000021139154,0.99804485,0.00007092581,0.0008704146],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934477,0.00006514118,0.000074275325,0.00021674894,0.00017229868,0.00012686383],"domain_scores_gemma":[0.9989398,0.00016441388,0.00010809253,0.00035589872,0.00031671484,0.00011497987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046549406,0.002969961,0.0011081785,0.0027857742,0.0005599708,0.0016833304,0.002074779,0.0020928632,0.060227904],"category_scores_gemma":[0.00256794,0.00069568347,0.0012372679,0.0047282926,0.0003771186,0.0017119201,0.001613363,0.0014825764,0.10779154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005116391,0.000025444035,0.00088597304,0.00029536113,0.000017657576,0.00001878487,0.000013229593,0.00035617073,0.0001561999,0.000266196,0.99503505,0.002878721],"study_design_scores_gemma":[0.00022785945,0.000032139265,0.006403175,0.00017074692,0.000023132448,0.00009619402,0.00009672295,0.001440125,0.0010063263,0.0012737811,0.98918915,0.00004063376],"about_ca_topic_score_codex":0.02414328,"about_ca_topic_score_gemma":0.04691888,"teacher_disagreement_score":0.93977207,"about_ca_system_score_codex":0.0012669113,"about_ca_system_score_gemma":0.0013200885,"threshold_uncertainty_score":0.20148242},"labels":[],"label_agreement":null},{"id":"W4399028887","doi":"10.1016/j.scs.2024.105552","title":"Novel energy management options for charging stations of electric vehicles in buildings without increasing peak demand for sustainable cities","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy demand; Peak demand; Sustainable energy; Energy management; Demand management; Energy (signal processing); Environmental science; Environmental economics; Business; Transport engineering; Engineering; Renewable energy; Electricity; Economics; Electrical engineering","score_opus":0.004413342564858049,"score_gpt":0.21019197684960228,"score_spread":0.20577863428474424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399028887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7134293,0.0035221914,0.14170651,0.00097423804,0.0001772075,0.0002525426,0.00028068825,0.00040964823,0.13924755],"genre_scores_gemma":[0.9880918,0.00047166419,0.006565725,0.00002838678,0.0000095770165,0.000021118994,0.000044124583,0.00000760941,0.0047599482],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999012,0.000015654303,0.0000040877253,0.000014384718,0.000032842087,0.000031842632],"domain_scores_gemma":[0.9999614,0.0000069115204,0.00000665671,0.0000042821553,0.000013944556,0.000006812957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390415,0.00036226027,0.00018616434,0.00030536638,0.0003407794,0.0008868061,0.0007435809,0.00033896748,0.0035394582],"category_scores_gemma":[0.00016200812,0.00013312695,0.00030756884,0.00037406333,0.00022044615,0.0005757531,0.00036179382,0.00027300807,0.00050722784],"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":[0.0007687415,0.0005673466,0.008799421,0.00093468826,0.00012666796,0.0010797795,0.0005322842,0.33826032,0.15078299,0.068033695,0.005812377,0.42430162],"study_design_scores_gemma":[0.00021774955,0.0013079685,0.016982002,0.0002190373,0.00032137625,0.0007200426,0.0031854701,0.7517858,0.09481586,0.030830573,0.09946159,0.00015251365],"about_ca_topic_score_codex":0.0052149976,"about_ca_topic_score_gemma":0.023662433,"teacher_disagreement_score":0.0052149976,"about_ca_system_score_codex":0.00078679837,"about_ca_system_score_gemma":0.0005129857,"threshold_uncertainty_score":0.011840701},"labels":[],"label_agreement":null},{"id":"W4399142774","doi":"10.1016/j.heliyon.2024.e32104","title":"Using electric vehicles to enhance power outage resilience – An agent-based modeling approach","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Microgrid; Electrification; Resilience (materials science); Energy storage; Work (physics); Grid; Reliability engineering; Power (physics); Electricity; Automotive engineering; Computer science; Environmental economics; Transport engineering; Renewable energy; Engineering; Electrical engineering","score_opus":0.014479266995290854,"score_gpt":0.25956165164426415,"score_spread":0.2450823846489733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399142774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14941752,0.0012799168,0.79718673,0.0020795339,0.00021487633,0.00025430394,0.00054103765,0.0004961506,0.04852983],"genre_scores_gemma":[0.946309,0.0009971234,0.040269755,0.00012586197,0.000062994004,0.00023678679,0.00015407876,0.000043871507,0.011800636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980444,0.00008132522,0.000008887895,0.0000355628,0.000038029368,0.000031758485],"domain_scores_gemma":[0.9996037,0.00022827274,0.000063808155,0.000013928352,0.000060200873,0.000030258316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000442272,0.00084820524,0.0005658929,0.00054923835,0.00045944995,0.0015250657,0.0011915013,0.0013095806,0.002538369],"category_scores_gemma":[0.0010007847,0.0004910214,0.0007525367,0.00046075412,0.0004500918,0.0011361105,0.0009210856,0.0009124446,0.00023651593],"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":[0.000011189302,0.00002194025,0.00037131563,0.000017500985,0.000016928325,0.000043587483,0.000029328014,0.9920311,0.00026723882,0.0051938444,0.00019185554,0.001804194],"study_design_scores_gemma":[0.00000408268,0.000011227258,0.00006576136,0.0000040727364,0.0000058860714,0.0000054746047,0.000014760823,0.99782073,0.00004655664,0.0015167566,0.0005017175,0.000002899162],"about_ca_topic_score_codex":0.016350325,"about_ca_topic_score_gemma":0.0122937085,"teacher_disagreement_score":0.016350325,"about_ca_system_score_codex":0.0008944009,"about_ca_system_score_gemma":0.0009929792,"threshold_uncertainty_score":0.03251034},"labels":[],"label_agreement":null},{"id":"W4399263968","doi":"10.1016/j.esd.2024.101459","title":"The economic and environmental consequences of the electric vehicle transition in India","year":2024,"lang":"en","type":"article","venue":"Energy Sustainable Development/Energy for sustainable development","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transition (genetics); Electric vehicle; Physics; Chemistry","score_opus":0.0018134151437572163,"score_gpt":0.15813109459742647,"score_spread":0.15631767945366926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399263968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726362,0.00042834817,0.000058448808,0.0025489433,0.000026956786,0.0000086616965,0.00031202516,0.0000055385394,0.023974983],"genre_scores_gemma":[0.99773955,0.0003076209,0.000015415424,0.00009275347,0.000007858304,0.0000021637375,0.000050249833,0.000001611902,0.0017828149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943656,0.0000944356,0.000020866775,0.000023839106,0.00008679685,0.00033750184],"domain_scores_gemma":[0.9992447,0.00023616561,0.00018587444,0.000028556871,0.00016381459,0.00014101958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003525302,0.00012657531,0.00013282214,0.0010131882,0.0015181856,0.002912544,0.00052579504,0.000596861,0.0036969902],"category_scores_gemma":[0.0012487879,0.0001235408,0.00040847083,0.0018428558,0.001971234,0.0010016517,0.0017923445,0.0013955083,0.0002464179],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024439874,0.0009976819,0.6474228,0.0005257657,0.00023440394,0.0193522,0.012268375,0.023289604,0.005242744,0.19550446,0.014433023,0.07828498],"study_design_scores_gemma":[0.000030572457,0.0002683505,0.8916609,0.000106361185,0.00012520512,0.0017198058,0.055998914,0.0025401667,0.002135522,0.009060164,0.036275763,0.00007819028],"about_ca_topic_score_codex":0.0948424,"about_ca_topic_score_gemma":0.16530156,"teacher_disagreement_score":0.0948424,"about_ca_system_score_codex":0.004767686,"about_ca_system_score_gemma":0.002634355,"threshold_uncertainty_score":0.18858069},"labels":[],"label_agreement":null},{"id":"W4399284071","doi":"10.1016/j.dib.2024.110587","title":"Daily electric vehicle charging dataset for training reinforcement learning algorithms","year":2024,"lang":"en","type":"article","venue":"Data in Brief","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Machine learning; Kernel density estimation; Constraint (computer-aided design); Artificial intelligence; Electric vehicle; Kernel (algebra); Training (meteorology); Data mining; Power (physics)","score_opus":0.02470271068315877,"score_gpt":0.26103620712101716,"score_spread":0.2363334964378584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399284071","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28669786,0.0015891888,0.13117589,0.0032979543,0.0017215804,0.001866058,0.5151153,0.021578366,0.03695787],"genre_scores_gemma":[0.31882447,0.00043916065,0.08796341,0.0006256505,0.00013408302,0.001120241,0.5818043,0.00057639496,0.008512385],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935645,0.00015320678,0.00006173595,0.00015361937,0.00019456327,0.00008046626],"domain_scores_gemma":[0.9984408,0.00043890977,0.00009145741,0.0005091962,0.00044543398,0.00007424862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001215014,0.0008076502,0.0005076235,0.0010076737,0.0004581369,0.00061175996,0.0017778365,0.0011184498,0.0061499802],"category_scores_gemma":[0.0042528175,0.0002334121,0.0007871797,0.001208605,0.00037019103,0.0008245422,0.0008400965,0.0015922323,0.0040049357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047418242,0.0013514424,0.020710025,0.0008186737,0.0002037153,0.0004973277,0.00016534934,0.23518847,0.0043386626,0.009028802,0.58749187,0.13973157],"study_design_scores_gemma":[0.00027292594,0.00056074705,0.022893189,0.00018179201,0.000046243636,0.0005076011,0.00035005625,0.69433177,0.01481402,0.01467469,0.25124195,0.00012507627],"about_ca_topic_score_codex":0.0066605783,"about_ca_topic_score_gemma":0.017758027,"teacher_disagreement_score":0.0066605783,"about_ca_system_score_codex":0.0008658242,"about_ca_system_score_gemma":0.0008516175,"threshold_uncertainty_score":0.020573735},"labels":[],"label_agreement":null},{"id":"W4399331877","doi":"10.1088/2752-5295/ad53f4","title":"The effects of climate and climate change on electric vehicle charging demand in Toronto, Canada","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Electric vehicle; Environmental science; Geography; Meteorology; Oceanography; Power (physics); Geology; Physics","score_opus":0.006349658445044415,"score_gpt":0.24349924894768,"score_spread":0.23714959050263557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399331877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98085487,0.00044087158,0.00024144455,0.0005643008,0.00001873805,0.00002449951,0.010026553,0.00002861539,0.0078002284],"genre_scores_gemma":[0.9956709,0.00019914923,0.00010901109,0.000046570647,0.0000037922866,0.000007451332,0.0017549443,0.000005763267,0.0022023965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969184,0.000025489933,0.000014226264,0.000041309708,0.00010576121,0.00012153554],"domain_scores_gemma":[0.99895203,0.000089765796,0.00010574969,0.000025287778,0.00060022285,0.00022692616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018545373,0.00025085267,0.00024125048,0.000608723,0.0011844002,0.00117651,0.0005153389,0.0002230088,0.0031924131],"category_scores_gemma":[0.00080205646,0.0001711118,0.00036616327,0.0021778543,0.00038487135,0.00028917353,0.0004852044,0.00034378044,0.00022452381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019915432,0.000044075543,0.9679405,0.00013826403,0.0001701194,0.0005016977,0.0015555298,0.008301358,0.0014904827,0.0008563834,0.007895388,0.010907049],"study_design_scores_gemma":[0.000005172989,0.000011795646,0.9916108,0.000020578877,0.000022712908,0.000036063157,0.0021714063,0.0030416136,0.00018898142,0.000042648968,0.0028299955,0.00001810582],"about_ca_topic_score_codex":0.9971494,"about_ca_topic_score_gemma":0.998546,"teacher_disagreement_score":0.035017073,"about_ca_system_score_codex":0.035017073,"about_ca_system_score_gemma":0.020327207,"threshold_uncertainty_score":0.25406784},"labels":[],"label_agreement":null},{"id":"W4399455994","doi":"10.1016/j.retrec.2024.101447","title":"Financial subsidy, government audit and new transportation technology: Evidence from the new energy vehicle pilot city program in China","year":2024,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Subsidy; China; Business; Audit; Finance; Government (linguistics); Transport engineering; Pilot program; Engineering; Economics; Accounting; Medicine; Political science","score_opus":0.02818607965943279,"score_gpt":0.27042164075849673,"score_spread":0.24223556109906394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399455994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984224,0.00012247398,0.000022164731,0.00046317105,0.0000063938423,0.000016065796,0.00011157606,0.0000022826491,0.0008333856],"genre_scores_gemma":[0.9991327,0.00011135131,0.000013963021,0.000109361215,0.000005388124,0.00000810246,0.0001308398,8.193401e-7,0.00048751818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762326,0.000561421,0.0001185949,0.0001598027,0.0005062841,0.0010306564],"domain_scores_gemma":[0.9813813,0.0039734133,0.008669079,0.00069527095,0.0023426982,0.0029382221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028272602,0.00021500373,0.00043602134,0.0018152031,0.0016610245,0.0013620089,0.001087605,0.0009638154,0.0030942247],"category_scores_gemma":[0.010612237,0.00028535927,0.00039730835,0.0031217677,0.0019925702,0.0011260944,0.0015989207,0.0012405295,0.00015302113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020219336,0.00036844646,0.9919035,0.000025846142,0.00004478813,0.00017017248,0.00070757745,0.00015879891,0.000057762598,0.00052593625,0.0009514973,0.004883539],"study_design_scores_gemma":[0.00003807103,0.000084959895,0.99666107,0.0000164472,0.000052261723,0.000022126093,0.0021016144,0.00029902437,0.000060785023,0.000103107726,0.00055463775,0.0000058456353],"about_ca_topic_score_codex":0.29306176,"about_ca_topic_score_gemma":0.40279597,"teacher_disagreement_score":0.29306176,"about_ca_system_score_codex":0.0041379314,"about_ca_system_score_gemma":0.014453705,"threshold_uncertainty_score":0.58271194},"labels":[],"label_agreement":null},{"id":"W4399649566","doi":"10.1039/d4su00112e","title":"Future material demand and greenhouse gas emissions implications for electrification of the UK light-duty vehicle fleet","year":2024,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Toronto","funders":"Saudi Aramco","keywords":"Electrification; Greenhouse gas; Environmental science; Duty; Natural resource economics; Automotive engineering; Environmental economics; Engineering; Economics; Electricity; Electrical engineering; Political science; Oceanography","score_opus":0.003932169966278705,"score_gpt":0.22320910736936925,"score_spread":0.21927693740309054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399649566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8892165,0.0031834177,0.0034391389,0.031721924,0.0003870552,0.000015371294,0.010710572,0.00006936804,0.061256696],"genre_scores_gemma":[0.98007685,0.0015774242,0.00044415143,0.00055153633,0.000048104775,0.000019981162,0.0018197118,0.000020295392,0.015441912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997595,0.00004876919,0.000011158137,0.000029936911,0.00007274375,0.00007789876],"domain_scores_gemma":[0.99953556,0.00016071435,0.00005643213,0.000013941554,0.00017038136,0.000062899504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034343914,0.00034810146,0.0002792072,0.00037361268,0.00029337592,0.001344441,0.00042206445,0.00175214,0.02304728],"category_scores_gemma":[0.0010851885,0.00021617893,0.0003592053,0.00068090274,0.00037125146,0.0020992234,0.00067929947,0.0009584986,0.0025826944],"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":[0.0051134075,0.00053139136,0.13180514,0.0032609832,0.00019644483,0.008572947,0.005475771,0.27774498,0.09155045,0.14670675,0.13597666,0.19306514],"study_design_scores_gemma":[0.00016010669,0.0011277699,0.40766034,0.0012304905,0.00017564169,0.0012430772,0.03588403,0.17995164,0.015138326,0.09379569,0.2630769,0.00055595994],"about_ca_topic_score_codex":0.04744588,"about_ca_topic_score_gemma":0.06918501,"teacher_disagreement_score":0.04744588,"about_ca_system_score_codex":0.002702717,"about_ca_system_score_gemma":0.000933868,"threshold_uncertainty_score":0.09433943},"labels":[],"label_agreement":null},{"id":"W4399654377","doi":"10.54097/b36n4e98","title":"Assessment of new hydrogen fuel cell technology in Electrical vehicles application and how it would improve the EV’s performance","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fuel cells; Automotive engineering; Hydrogen fuel; Hydrogen; Computer science; Nuclear engineering; Engineering; Chemistry; Chemical engineering","score_opus":0.002994516037684238,"score_gpt":0.20078924176628485,"score_spread":0.1977947257286006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399654377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46247518,0.32797366,0.07297431,0.009625686,0.0012885844,0.0005549759,0.0020204245,0.00028060647,0.12280654],"genre_scores_gemma":[0.8568854,0.1173305,0.01585296,0.0005650509,0.00018393202,0.0001174682,0.0007944207,0.000028335739,0.008241819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992811,0.000112545196,0.00004071432,0.000091163005,0.0004037581,0.00007074463],"domain_scores_gemma":[0.9992968,0.00019610446,0.000063485,0.000023283063,0.00039002407,0.00003024392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016412938,0.0004141392,0.00033473238,0.0012506072,0.00040881947,0.00197137,0.00068502274,0.0013003412,0.0025096652],"category_scores_gemma":[0.0013714829,0.00015420817,0.0005599292,0.0009953912,0.00031829407,0.0027556927,0.000528657,0.00058606366,0.0006754575],"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":[0.0007662685,0.00046190643,0.037007824,0.010070503,0.00025045048,0.00096570485,0.00037674152,0.04727827,0.21369766,0.041314673,0.009005794,0.6388042],"study_design_scores_gemma":[0.000055966964,0.004202271,0.036419738,0.0026769913,0.00082259363,0.0012767266,0.003935136,0.08085478,0.4111089,0.033289447,0.425147,0.00021044324],"about_ca_topic_score_codex":0.0019582447,"about_ca_topic_score_gemma":0.0038016634,"teacher_disagreement_score":0.0025096652,"about_ca_system_score_codex":0.0013423618,"about_ca_system_score_gemma":0.0010691981,"threshold_uncertainty_score":0.009739518},"labels":[],"label_agreement":null},{"id":"W4399656520","doi":"","title":"A matheuristic for a multi-day electric bus assignment and recharge scheduling problem","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Scheduling (production processes); Groundwater recharge; Job shop scheduling; Mathematical optimization; Computer network; Mathematics; Engineering","score_opus":0.010234417372381718,"score_gpt":0.21441743681422565,"score_spread":0.20418301944184392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399656520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059735753,0.0011941044,0.85458857,0.0071172453,0.0005301634,0.0004225929,0.0011390677,0.00030824228,0.074964225],"genre_scores_gemma":[0.5967609,0.0017767918,0.34189323,0.0016592823,0.001282175,0.0007225046,0.0014271186,0.00038410595,0.054093953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991879,0.00031190345,0.000034329914,0.00016315996,0.00017221397,0.00013053133],"domain_scores_gemma":[0.9958187,0.0032765393,0.00021809353,0.00014580532,0.0002824483,0.0002585039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019526529,0.0013349691,0.0013633255,0.0012805553,0.0011403554,0.0023713063,0.002191637,0.002609764,0.014585142],"category_scores_gemma":[0.008452698,0.0006268591,0.0020906774,0.001302372,0.0014470023,0.0028499148,0.0027366155,0.003328579,0.0008588102],"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":[0.00018230164,0.00022481102,0.0009568744,0.0004002732,0.000084122476,0.0002007731,0.00017420825,0.8520669,0.0012792659,0.105168395,0.012611828,0.026650239],"study_design_scores_gemma":[0.000024760058,0.000037720427,0.00016175331,0.00001756195,0.000017278946,0.000029673416,0.000038341157,0.9406814,0.00011606383,0.057229247,0.0016371254,0.000009177268],"about_ca_topic_score_codex":0.009173397,"about_ca_topic_score_gemma":0.010302027,"teacher_disagreement_score":0.014585142,"about_ca_system_score_codex":0.0022844109,"about_ca_system_score_gemma":0.0021475356,"threshold_uncertainty_score":0.048792124},"labels":[],"label_agreement":null},{"id":"W4399723469","doi":"10.1088/2634-4505/ad590a","title":"Sufficiency of level 1 charging to meet electric vehicle charging requirements","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Electric vehicle; Automotive engineering; Electrical engineering; Aeronautics; Engineering; Power (physics); Physics","score_opus":0.01675345730154193,"score_gpt":0.2875327939933004,"score_spread":0.27077933669175847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399723469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98180985,0.00018768257,0.003399181,0.00038995597,0.000020235742,0.00004811856,0.001703213,0.00018424123,0.012257492],"genre_scores_gemma":[0.99858874,0.00002598986,0.00042169157,0.00003624963,0.0000052764203,0.000005707359,0.00044394514,0.000012704567,0.00045963968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782073,0.00039853255,0.00013115178,0.00027884616,0.0006042678,0.0007663996],"domain_scores_gemma":[0.9919608,0.003319143,0.0020595097,0.0010228595,0.001175625,0.0004620775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015723835,0.0002740716,0.0006538065,0.000951024,0.0005804108,0.0019159247,0.0011138932,0.00063986826,0.006538435],"category_scores_gemma":[0.014026603,0.00030465078,0.00071481947,0.0011358405,0.00046714343,0.0014964361,0.0008309425,0.0005656174,0.0008664065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007188062,0.00028392227,0.8375306,0.00034734013,0.0002760846,0.0009901765,0.0005418574,0.08019972,0.008858596,0.005995212,0.005279904,0.058977794],"study_design_scores_gemma":[0.00003528911,0.00039761636,0.9180638,0.00008579455,0.00008961248,0.0010076059,0.0021676584,0.058712345,0.0053778333,0.0063449778,0.0076512964,0.0000660548],"about_ca_topic_score_codex":0.025045661,"about_ca_topic_score_gemma":0.030544335,"teacher_disagreement_score":0.025045661,"about_ca_system_score_codex":0.0014223482,"about_ca_system_score_gemma":0.0016926822,"threshold_uncertainty_score":0.04979974},"labels":[],"label_agreement":null},{"id":"W4399765378","doi":"10.1016/j.trb.2024.102999","title":"Mathematical formulations for the multi-period alternative fuel refueling station location problem with routing under decision-dependent flow dynamics","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; KU Leuven","keywords":"Period (music); Routing (electronic design automation); Operations research; Computer science; Flow (mathematics); Environmental science; Dynamics (music); Engineering; Mathematics; Computer network","score_opus":0.18531690973297202,"score_gpt":0.42182219959204414,"score_spread":0.23650528985907213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765378","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076888534,0.0012067147,0.9753194,0.0013872496,0.00016139659,0.00010335078,0.0004781401,0.00006249619,0.013592487],"genre_scores_gemma":[0.59356815,0.004806556,0.3527508,0.00083370105,0.00061514374,0.0013020359,0.0012455623,0.00024237711,0.04463563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991948,0.00032775832,0.000040870644,0.00016856272,0.00015826775,0.00010968815],"domain_scores_gemma":[0.99727184,0.0019022349,0.00033534024,0.00007554944,0.00031413135,0.00010090079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027358476,0.0015077097,0.0014336837,0.0010741927,0.00055236125,0.0028050374,0.002178612,0.0029591126,0.00923861],"category_scores_gemma":[0.0052349092,0.0009538784,0.0015502962,0.0014415695,0.000941852,0.002809103,0.0016092997,0.0025189596,0.0008648014],"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":[0.000028015278,0.000059716927,0.00025060997,0.00015872403,0.000032236596,0.00011921042,0.00006420502,0.83533686,0.00038497563,0.15249857,0.0025926644,0.008474296],"study_design_scores_gemma":[0.000011724884,0.00001982313,0.00009037777,0.000019655308,0.000010043717,0.00002538487,0.000024916018,0.96865004,0.00007111173,0.029701006,0.0013666244,0.000009324413],"about_ca_topic_score_codex":0.0062352614,"about_ca_topic_score_gemma":0.0067427633,"teacher_disagreement_score":0.00923861,"about_ca_system_score_codex":0.002711084,"about_ca_system_score_gemma":0.0023319388,"threshold_uncertainty_score":0.0309062},"labels":[],"label_agreement":null},{"id":"W4399801036","doi":"10.1109/td47997.2024.10556260","title":"Optimal EV charging schedule for managing distribution network over-load during CLPU","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Schedule; Computer science; Distribution (mathematics); Load distribution; Engineering; Mathematics; Operating system","score_opus":0.0036578885750587252,"score_gpt":0.20163496139943687,"score_spread":0.19797707282437815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399801036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5572583,0.00040162538,0.42459258,0.00034650366,0.00008592384,0.00022203458,0.00028317477,0.0006050077,0.016204776],"genre_scores_gemma":[0.99683505,0.00002677232,0.0024771404,0.0000079830525,0.0000028592647,0.000009624699,0.00002033889,0.0000081280605,0.00061213935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984,0.00003939783,0.0000049157875,0.000022651775,0.00003118046,0.0000617329],"domain_scores_gemma":[0.99979836,0.000063097265,0.00003716885,0.000009950691,0.00006477586,0.00002665527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003050594,0.00045197216,0.0004008099,0.00028029352,0.00030111775,0.00058839587,0.0006258726,0.00033113905,0.0019213376],"category_scores_gemma":[0.0009178686,0.00016465219,0.00014630638,0.00023772186,0.00024488196,0.00035203935,0.00026862213,0.00029534995,0.00013992144],"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":[0.0001661989,0.000041551553,0.00095322443,0.000033291108,0.0000123012305,0.00008139427,0.000034825225,0.9786764,0.0037665267,0.0019860794,0.0006643954,0.013583829],"study_design_scores_gemma":[0.000021410473,0.000067003675,0.0007685226,0.000004297612,0.000011006588,0.000018913965,0.00004725672,0.99688303,0.00084174663,0.00081391574,0.0005167306,0.000006122584],"about_ca_topic_score_codex":0.02785594,"about_ca_topic_score_gemma":0.030821348,"teacher_disagreement_score":0.02785594,"about_ca_system_score_codex":0.0011241211,"about_ca_system_score_gemma":0.0014677654,"threshold_uncertainty_score":0.055387557},"labels":[],"label_agreement":null},{"id":"W4399801743","doi":"10.1109/td47997.2024.10556091","title":"Investigating Cyberattacks Against Off-Grid Solar-Powered Electric Vehicle Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Grid; Computer science; Electric vehicle; Aerospace engineering; Environmental science; Electrical engineering; Engineering; Geology; Physics","score_opus":0.006733651569812423,"score_gpt":0.2151362516515044,"score_spread":0.20840260008169198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399801743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655268,0.00025151417,0.025977004,0.00036231236,0.00005197302,0.00014646076,0.00019866301,0.00024123838,0.0072440025],"genre_scores_gemma":[0.9984717,0.00005224753,0.0010317676,0.00002298614,0.0000025233264,0.000013145647,0.00003236953,0.0000039161214,0.00036944926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857867,0.0004642453,0.00007670106,0.00017706398,0.00044745585,0.00025591292],"domain_scores_gemma":[0.9901821,0.005736133,0.0016108315,0.0013490658,0.0008477398,0.00027404536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012756797,0.00044265835,0.00034369706,0.0006744138,0.0004579587,0.0007843247,0.0005511377,0.0009844346,0.0014278119],"category_scores_gemma":[0.008192508,0.00017375145,0.0003380785,0.0003571063,0.0010090157,0.0019392578,0.0010725545,0.0009547576,0.00023966469],"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":[0.0023267292,0.0009919584,0.16757998,0.000995294,0.00071661815,0.0056212903,0.0020523183,0.6248045,0.06009068,0.051693894,0.0045012007,0.07862558],"study_design_scores_gemma":[0.00005252953,0.0010783485,0.025639588,0.00012451246,0.00013388299,0.0013922545,0.0016181022,0.9231556,0.03406359,0.0100408085,0.0026518581,0.000048905877],"about_ca_topic_score_codex":0.0013751619,"about_ca_topic_score_gemma":0.001087402,"teacher_disagreement_score":0.0014278119,"about_ca_system_score_codex":0.00048613836,"about_ca_system_score_gemma":0.0004299675,"threshold_uncertainty_score":0.006746471},"labels":[],"label_agreement":null},{"id":"W4399834825","doi":"10.2139/ssrn.4870229","title":"Multi-Objective Optimization for Electric Vehicles Charging Station Planning: Integrating Drivers’ Preferences and Fairness Considerations","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; Dalhousie University","funders":"","keywords":"Electric vehicle; Charging station; Computer science; Transport engineering; Business; Environmental economics; Operations research; Engineering; Economics; Power (physics)","score_opus":0.0131594859148142,"score_gpt":0.24751687947239717,"score_spread":0.23435739355758298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399834825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057142705,0.00064077915,0.93572706,0.0007344604,0.00012708093,0.00009917386,0.00014139082,0.00005297097,0.005334251],"genre_scores_gemma":[0.9120167,0.00047964996,0.08061327,0.00015741003,0.00015089114,0.00013430075,0.00014621567,0.00007673755,0.006224866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981766,0.001105055,0.000051907133,0.00019969667,0.0002481651,0.0002186139],"domain_scores_gemma":[0.9962463,0.00288017,0.00023448709,0.000110897665,0.00031196457,0.00021625936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050748726,0.0013878028,0.0021098857,0.00078742544,0.0005827372,0.0020886967,0.0018234471,0.0015925636,0.0032352312],"category_scores_gemma":[0.008507007,0.0010740923,0.0011145019,0.0012824018,0.0007692119,0.0026514677,0.0013123506,0.001830318,0.0002705924],"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":[0.000067095396,0.000055652792,0.0005664736,0.000049838243,0.00005709097,0.000048598897,0.000034295976,0.98067033,0.00024027233,0.010176198,0.00037673608,0.0076574795],"study_design_scores_gemma":[0.000007039318,0.000027083439,0.00019819534,0.000007047828,0.00001081151,0.000008757942,0.000015789557,0.9926099,0.00008628097,0.0068345517,0.00018763183,0.0000068989334],"about_ca_topic_score_codex":0.008272807,"about_ca_topic_score_gemma":0.0063506397,"teacher_disagreement_score":0.008272807,"about_ca_system_score_codex":0.0016315216,"about_ca_system_score_gemma":0.0017650678,"threshold_uncertainty_score":0.026838839},"labels":[],"label_agreement":null},{"id":"W4399897400","doi":"10.1177/03611981241255026","title":"Developing an Integrated Activity-Based Travel Demand Model for Analyzing the Impact of Electric Vehicles on Traffic Networks and Vehicular Emissions","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transport engineering; Travel behavior; Road traffic; Computer science; Engineering; Business","score_opus":0.05074967543274838,"score_gpt":0.3562031465689819,"score_spread":0.3054534711362335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399897400","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47723737,0.00063730445,0.48015547,0.0008548058,0.00016589163,0.00022553437,0.0037746513,0.0006819885,0.03626697],"genre_scores_gemma":[0.96140623,0.00029085932,0.021235894,0.00007378769,0.000025438163,0.00023432555,0.0021816385,0.00006328054,0.014488625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998178,0.00005494507,0.000009580638,0.000045596615,0.000030116289,0.000042042957],"domain_scores_gemma":[0.99980515,0.00008473169,0.000021474625,0.000009106953,0.00006161206,0.000017965458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033833954,0.00057987525,0.00045166482,0.0004387575,0.00030279031,0.0009625779,0.000984141,0.0010380638,0.0022567045],"category_scores_gemma":[0.00059146027,0.0004954361,0.001077769,0.0005979531,0.00021656841,0.00051467493,0.0005428329,0.0007193506,0.00041253964],"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":[0.0000106047555,0.000031049458,0.0019569153,0.000010954782,0.00001466832,0.000036960828,0.000014692205,0.99437153,0.00025758552,0.001070268,0.00029093685,0.0019337697],"study_design_scores_gemma":[0.0000020921973,0.000006644659,0.00034270564,0.0000018529088,0.000004777063,0.0000040312234,0.000011220816,0.9990293,0.000057243826,0.0002507832,0.00028689523,0.0000025913805],"about_ca_topic_score_codex":0.06917288,"about_ca_topic_score_gemma":0.048230235,"teacher_disagreement_score":0.06917288,"about_ca_system_score_codex":0.0012610579,"about_ca_system_score_gemma":0.0021648884,"threshold_uncertainty_score":0.13754052},"labels":[],"label_agreement":null},{"id":"W4400018642","doi":"10.3390/electronics13132487","title":"Dynamic Simulation and Optimization of Off-Grid Hybrid Power Systems for Sustainable Rural Development","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Power grid; Grid; Sustainable development; Power (physics); Computer science; Systems engineering; Engineering; Political science; Geography","score_opus":0.002230895996205143,"score_gpt":0.1988228661500813,"score_spread":0.19659197015387614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400018642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35470986,0.0007285063,0.56933135,0.0007885472,0.00012713853,0.00021601291,0.00089959294,0.00083203346,0.07236695],"genre_scores_gemma":[0.9834163,0.0002314492,0.010844021,0.00003340921,0.000009425928,0.00011633524,0.00019410624,0.000043222237,0.005111768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989104,0.000043110056,0.0000036553247,0.0000143437355,0.000026550064,0.000021242786],"domain_scores_gemma":[0.9998392,0.00009493045,0.000017258732,0.000009769828,0.000028177745,0.000010644809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296052,0.00046325402,0.00047394895,0.00026883016,0.00040574354,0.00079242093,0.00041395865,0.00057538337,0.0031417995],"category_scores_gemma":[0.00045835986,0.00027433984,0.0004864012,0.00032301433,0.00032602024,0.00055186206,0.0004980099,0.00046072685,0.00025478698],"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":[0.000011945404,0.0000093109375,0.00034393076,0.000016917023,0.000006851836,0.00002680715,0.000012848076,0.9961235,0.0003802929,0.0009828741,0.00018441785,0.0019003787],"study_design_scores_gemma":[0.0000036971317,0.000013299707,0.00013737015,0.0000023421505,0.0000020266782,0.000004396813,0.000015050133,0.99866426,0.00013285503,0.00056593714,0.00045710272,0.0000016520347],"about_ca_topic_score_codex":0.008116359,"about_ca_topic_score_gemma":0.008368784,"teacher_disagreement_score":0.008116359,"about_ca_system_score_codex":0.0004955213,"about_ca_system_score_gemma":0.0006876113,"threshold_uncertainty_score":0.016138256},"labels":[],"label_agreement":null},{"id":"W4400046206","doi":"10.3390/en17133149","title":"Enhancing Electric Shuttle Bus Efficiency: A Case Study on Timetabling and Scheduling Optimization","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Concordia University; Group for Research in Decision Analysis","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Scheduling (production processes); Computer science; Operations research; Mathematical optimization; Automotive engineering; Engineering; Mathematics","score_opus":0.005405818731516716,"score_gpt":0.21460522618954347,"score_spread":0.20919940745802676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400046206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949158,0.00039608032,0.035402697,0.00055510993,0.000048505615,0.00029792852,0.00029141223,0.00016091915,0.013689227],"genre_scores_gemma":[0.9664188,0.00030457816,0.02916827,0.000029585342,0.00001673599,0.00009136212,0.00022523542,0.00003752875,0.0037080422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921274,0.00035976333,0.000022934113,0.000061027535,0.00017282586,0.00017066844],"domain_scores_gemma":[0.9983754,0.0009489509,0.00010882997,0.000083524035,0.00031105833,0.00017216636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012728288,0.00072331144,0.00039959385,0.0006188137,0.0008838308,0.0007599841,0.000823219,0.0007523391,0.0023955149],"category_scores_gemma":[0.0021323955,0.00021782047,0.00063033355,0.001264254,0.0004571089,0.0006681045,0.0004931453,0.0006610013,0.00015705034],"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":[0.00049002934,0.0011491386,0.011669293,0.0003796007,0.0000763601,0.0024362367,0.00070771563,0.8972109,0.0066655646,0.0101637915,0.004796841,0.064254425],"study_design_scores_gemma":[0.00017578353,0.0010101671,0.008076452,0.000032178243,0.00005952027,0.0002992047,0.0017975547,0.9705784,0.006669376,0.0017742066,0.009489651,0.000037469905],"about_ca_topic_score_codex":0.048112094,"about_ca_topic_score_gemma":0.070569456,"teacher_disagreement_score":0.048112094,"about_ca_system_score_codex":0.0026701184,"about_ca_system_score_gemma":0.0020942937,"threshold_uncertainty_score":0.095664084},"labels":[],"label_agreement":null},{"id":"W4400081104","doi":"10.3390/logistics8030064","title":"Zero-Emission Heavy-Duty, Long-Haul Trucking: Obstacles and Opportunities for Logistics in North America","year":2024,"lang":"en","type":"article","venue":"Logistics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"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":"Greenhouse gas; Truck; Electricity; Diesel fuel; Environmental science; Zero emission; Environmental economics; Automotive engineering; Engineering; Waste management; Economics","score_opus":0.039998322623823,"score_gpt":0.248406549652549,"score_spread":0.208408227028726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400081104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96015936,0.006206249,0.0018306444,0.008873765,0.00003746525,0.000050249833,0.0021208928,0.00004876646,0.020672753],"genre_scores_gemma":[0.9877564,0.005403092,0.0014932542,0.00077167235,0.000032379077,0.000031119864,0.0015947515,0.00001419934,0.0029030798],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99968684,0.00006159066,0.000011481499,0.00004693151,0.00009071616,0.000102502665],"domain_scores_gemma":[0.9991301,0.00016968563,0.00030004457,0.000019351273,0.00026232068,0.00011864508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660171,0.00026663367,0.00014204015,0.0008029925,0.00092363195,0.0020669075,0.00077894883,0.00063033175,0.0036624887],"category_scores_gemma":[0.0007595815,0.00021459821,0.0002226313,0.003537503,0.0006939555,0.0021010283,0.0008031926,0.00061275635,0.00028524638],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022860285,0.00045609975,0.72902167,0.0013383061,0.00015046241,0.0020725343,0.005173532,0.017887542,0.0019517909,0.01674078,0.049810637,0.17516817],"study_design_scores_gemma":[0.000014351908,0.00010804896,0.8670644,0.0005740233,0.00005972086,0.00042041822,0.036110196,0.012140154,0.00058512244,0.008102564,0.074757986,0.00006294157],"about_ca_topic_score_codex":0.38021618,"about_ca_topic_score_gemma":0.5462619,"teacher_disagreement_score":0.6197838,"about_ca_system_score_codex":0.0048024952,"about_ca_system_score_gemma":0.004403026,"threshold_uncertainty_score":0.7560061},"labels":[],"label_agreement":null},{"id":"W4400083666","doi":"10.1007/978-3-031-57603-4_18","title":"Integrated Location, Sizing, and Pricing for EV Charging Stations","year":2024,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Sizing; Environmental science; Electrical engineering; Computer science; Automotive engineering; Business; Engineering; Art; Visual arts","score_opus":0.03149105178827719,"score_gpt":0.35736103166941713,"score_spread":0.3258699798811399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400083666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051470682,0.0024996388,0.80435306,0.0006367116,0.00068231975,0.00016857024,0.00093256525,0.002212306,0.13704407],"genre_scores_gemma":[0.8033937,0.0013634122,0.10371495,0.000098788754,0.00025191106,0.00009493574,0.0009811013,0.00039624353,0.08970499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972695,0.000042130287,0.000010911722,0.00005176414,0.00013869921,0.000029480423],"domain_scores_gemma":[0.99986935,0.00004230645,0.000011850531,0.000030209576,0.000040013212,0.000006319096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027893076,0.0006728374,0.0006311337,0.00037254445,0.00026468313,0.0013653979,0.0011576407,0.0004552391,0.014468774],"category_scores_gemma":[0.0008410909,0.0005823028,0.0006189204,0.000886276,0.00017771852,0.0011542514,0.0004973903,0.00088456465,0.002314634],"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":[0.00016410642,0.000115570154,0.0008099038,0.000092479226,0.00006275308,0.000058998645,0.000037302714,0.6602988,0.006418385,0.02705394,0.011743357,0.29314438],"study_design_scores_gemma":[0.000031197655,0.00011226513,0.0017902454,0.000020623005,0.000045520417,0.0001039775,0.00003680798,0.95258754,0.0032246981,0.024415324,0.017613541,0.000018210363],"about_ca_topic_score_codex":0.004327284,"about_ca_topic_score_gemma":0.010627508,"teacher_disagreement_score":0.014468774,"about_ca_system_score_codex":0.0009930222,"about_ca_system_score_gemma":0.0007934387,"threshold_uncertainty_score":0.048402846},"labels":[],"label_agreement":null},{"id":"W4400129898","doi":"10.1080/00343404.2024.2358829","title":"Does digitalisation affect the adoption of electric vehicles? New regional-level evidence from Google Trends data","year":2024,"lang":"en","type":"article","venue":"Regional Studies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Gross domestic product; Per capita; Population; Workforce; Empirical evidence; Sample (material); Regional science; Geography; Dimension (graph theory); The Internet; Business; Demographic economics; Economic geography; Economic growth; Economics; Computer science; Demography; World Wide Web; Sociology","score_opus":0.10434226793488582,"score_gpt":0.30231949549466924,"score_spread":0.19797722755978342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400129898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674038,0.0051574493,0.0010067002,0.0019801743,0.000049114497,0.000015440892,0.013528603,0.00004672859,0.010812035],"genre_scores_gemma":[0.99271154,0.0013754446,0.00035853626,0.00009950885,0.00003953081,0.00000631127,0.0049427208,0.0000146043085,0.000451873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847585,0.0004903083,0.00017317472,0.0003324845,0.00031794983,0.0002102791],"domain_scores_gemma":[0.97859967,0.007891824,0.00752308,0.0017805864,0.003621882,0.00058296364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017385796,0.00024745337,0.00040183536,0.0023909835,0.00025212133,0.0014459685,0.0005314914,0.00034072984,0.0020984185],"category_scores_gemma":[0.011431205,0.00015006347,0.0010040241,0.007074077,0.0006301816,0.0014209861,0.0011312201,0.00077091256,0.0005836777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001622201,0.000035845256,0.97489953,0.0003999436,0.0004239934,0.00031362489,0.0014872197,0.0017367513,0.00031741048,0.001867287,0.004360007,0.0139961345],"study_design_scores_gemma":[0.0000079921565,0.000039779756,0.9833528,0.00012887253,0.00031936247,0.00009063458,0.0032715634,0.0014084728,0.00036983175,0.00025208297,0.010735149,0.000023673587],"about_ca_topic_score_codex":0.1560736,"about_ca_topic_score_gemma":0.14154223,"teacher_disagreement_score":0.1560736,"about_ca_system_score_codex":0.00083554,"about_ca_system_score_gemma":0.0008188628,"threshold_uncertainty_score":0.31033027},"labels":[],"label_agreement":null},{"id":"W4400181556","doi":"10.36227/techrxiv.171986606.63831357/v1","title":"Impact of Local Energy Trading on LV Distribution Network: A Case Study in New Zealand","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Laval","funders":"","keywords":"Distribution (mathematics); Energy (signal processing); Business; Economic geography; Economics; Mathematics; Statistics","score_opus":0.009345318007779586,"score_gpt":0.24861202520855272,"score_spread":0.23926670720077314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400181556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901489,0.000059466256,0.0031097846,0.00009523239,0.000004037852,0.00006700065,0.00016661207,0.000037989506,0.00631103],"genre_scores_gemma":[0.99787605,0.000056360364,0.00081803143,0.0000063631783,0.0000011430678,0.000012474977,0.000068408786,0.000006860449,0.0011542508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99962735,0.0001449251,0.000013190065,0.000051893614,0.000075287906,0.00008723045],"domain_scores_gemma":[0.9993513,0.00034486444,0.000090452595,0.000043542736,0.00010465621,0.00006526548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061212183,0.00044740798,0.00034325777,0.00032379685,0.0006248126,0.0011430231,0.0009043674,0.00058891374,0.0022325346],"category_scores_gemma":[0.0017065177,0.00022982992,0.00044943282,0.0006567067,0.0008995218,0.0011097562,0.00066108827,0.0005515098,0.00013876296],"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":[0.00050150545,0.00042490795,0.052411873,0.00021620948,0.000079834266,0.008312205,0.00079263886,0.90109086,0.005524384,0.0067220596,0.0017380336,0.022185571],"study_design_scores_gemma":[0.00022772064,0.0006247295,0.04066915,0.0000529091,0.000088369445,0.0008273018,0.0050169947,0.9425775,0.0035619768,0.0020937354,0.0041901036,0.0000696211],"about_ca_topic_score_codex":0.3143828,"about_ca_topic_score_gemma":0.30867353,"teacher_disagreement_score":0.3143828,"about_ca_system_score_codex":0.005266495,"about_ca_system_score_gemma":0.0010186727,"threshold_uncertainty_score":0.62510574},"labels":[],"label_agreement":null},{"id":"W4400305003","doi":"10.20944/preprints202407.0212.v1","title":"Investigating the Effects of Fast Charging and Flash Charging Protocols on Battery Health and Economic Viability in Electric Buses","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Trickle charging; Electrification; Battery (electricity); Flash (photography); Automotive engineering; Electric vehicle; Electrical engineering; Environmental science; Computer science; Engineering; Electricity; Physics","score_opus":0.027959944021505992,"score_gpt":0.2891996152234564,"score_spread":0.2612396712019504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400305003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941209,0.00028555345,0.0028093597,0.00012676664,0.000021389505,0.00002660647,0.00024114976,0.00003079959,0.0023374017],"genre_scores_gemma":[0.99896455,0.00010021724,0.00037526205,0.000009451164,0.0000021564545,0.000008253277,0.00010488024,0.00000431857,0.0004309437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974436,0.00006837404,0.00000979419,0.00003515398,0.000050982766,0.00009134167],"domain_scores_gemma":[0.9988642,0.0007357365,0.00008745194,0.00007824092,0.00018545032,0.000049066013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000834957,0.00043023276,0.00027048847,0.00036265884,0.00025450316,0.00066480297,0.00040664943,0.00042538551,0.0022697148],"category_scores_gemma":[0.002454404,0.00012773836,0.00035850584,0.00032830777,0.00038647474,0.0010753497,0.00039477673,0.00046378403,0.00018652734],"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":[0.001461023,0.00043243062,0.03500941,0.00044845158,0.00015033373,0.0004598356,0.0002897073,0.8843753,0.019768607,0.005735981,0.0015672545,0.050301664],"study_design_scores_gemma":[0.00010903949,0.004775755,0.045387063,0.000090862086,0.00024479293,0.00026637482,0.0020173849,0.88748485,0.04975999,0.005732842,0.0040422375,0.00008877581],"about_ca_topic_score_codex":0.00640875,"about_ca_topic_score_gemma":0.007387298,"teacher_disagreement_score":0.00640875,"about_ca_system_score_codex":0.00079048116,"about_ca_system_score_gemma":0.0004570444,"threshold_uncertainty_score":0.012742877},"labels":[],"label_agreement":null},{"id":"W4400421577","doi":"10.1016/j.procs.2024.06.088","title":"A Comparative Analysis of Time-Based and Hybrid Pricing Models for Electric Vehicle Charging","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Computer science; Revenue; Electric vehicle; Duration (music); Queue; Battery (electricity); Queueing theory; Dynamic pricing; Charging station; Operations research; Automotive engineering; Power (physics); Simulation; Computer network; Finance; Business","score_opus":0.008420281563794318,"score_gpt":0.22141301690927118,"score_spread":0.21299273534547686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400421577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72269744,0.0021583,0.23384807,0.0013561997,0.0002244217,0.0001955515,0.000584785,0.00036780623,0.0385674],"genre_scores_gemma":[0.9871824,0.0004660822,0.009764492,0.00005727469,0.000028839924,0.000050695453,0.00012340979,0.000029593133,0.0022972678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913615,0.00046259494,0.000035096557,0.00006637102,0.00018566202,0.00011408531],"domain_scores_gemma":[0.996644,0.0024120898,0.00024249588,0.0001608398,0.00041774925,0.00012281208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019955062,0.0008502914,0.00072992337,0.0008569346,0.00034400274,0.001657677,0.0013076427,0.0010707522,0.0023556654],"category_scores_gemma":[0.0055952608,0.00029112294,0.0011209202,0.0009109605,0.00045080928,0.0017583291,0.00076588907,0.00080276065,0.00019267267],"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":[0.00012694974,0.000073679796,0.0010932038,0.000035417994,0.000035127156,0.000035899626,0.000038583352,0.9776324,0.0002910063,0.014327883,0.0002897134,0.006020157],"study_design_scores_gemma":[0.000011212329,0.00006609716,0.00026039095,0.0000061855726,0.000013266615,0.000012186257,0.000026510023,0.99666876,0.00010719811,0.0024861386,0.00033368476,0.000008250849],"about_ca_topic_score_codex":0.010792155,"about_ca_topic_score_gemma":0.0052747824,"teacher_disagreement_score":0.010792155,"about_ca_system_score_codex":0.0018747547,"about_ca_system_score_gemma":0.0011292568,"threshold_uncertainty_score":0.021458685},"labels":[],"label_agreement":null},{"id":"W4400446222","doi":"10.1145/3632775.3661949","title":"Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Universitas Brawijaya; University of Alberta","keywords":"Reinforcement learning; Flexibility (engineering); Aggregate (composite); Computer science; Reinforcement; Artificial intelligence; Materials science; Mathematics; Composite material","score_opus":0.007453992364822412,"score_gpt":0.2086361517290319,"score_spread":0.2011821593642095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400446222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22725183,0.00056086027,0.7663728,0.0007457917,0.00009004218,0.00009747977,0.00015323513,0.0009348175,0.0037931197],"genre_scores_gemma":[0.98256946,0.00004632979,0.016381841,0.00008179414,0.000018358482,0.000035381436,0.000060577306,0.000024060118,0.0007821643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930716,0.00025538015,0.000029755753,0.00017284136,0.000105324725,0.0001295625],"domain_scores_gemma":[0.99760205,0.0015631481,0.00030579383,0.00018303822,0.0001930108,0.00015307602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016393025,0.0010174613,0.0012294252,0.0003732814,0.00033135002,0.0009577647,0.0013815962,0.0010834608,0.001150198],"category_scores_gemma":[0.0052777356,0.0005444569,0.0005138578,0.00039091322,0.0011433265,0.0013663209,0.0010697942,0.0014113944,0.00019996864],"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":[0.000070162234,0.000053874937,0.0009885479,0.000019946925,0.00002278558,0.000045127028,0.000019813775,0.9854799,0.0005651052,0.0015299588,0.00031424058,0.010890524],"study_design_scores_gemma":[0.0000065417707,0.000010220484,0.0000549943,0.0000011380737,0.000001857143,0.000003745987,0.0000023294767,0.99860007,0.000098630335,0.0011640545,0.000054800537,0.0000015899384],"about_ca_topic_score_codex":0.0057670833,"about_ca_topic_score_gemma":0.0054860893,"teacher_disagreement_score":0.0057670833,"about_ca_system_score_codex":0.0009860421,"about_ca_system_score_gemma":0.0011408656,"threshold_uncertainty_score":0.01146704},"labels":[],"label_agreement":null},{"id":"W4400491138","doi":"10.1109/cscwd61410.2024.10580471","title":"Solving the Energy Supply Strategic Planning Problem by Extended Group Multirole Assignment","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Group (periodic table); Strategic planning; Energy (signal processing); Computer science; Energy planning; Business; Mathematics; Engineering; Physics; Renewable energy; Marketing","score_opus":0.006258216358153895,"score_gpt":0.19816859206058807,"score_spread":0.19191037570243416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400491138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11807541,0.0002379598,0.87010676,0.00066338596,0.00007344241,0.00033269468,0.00014697682,0.00013647467,0.010226885],"genre_scores_gemma":[0.73881745,0.00020193258,0.2564842,0.000097704105,0.000026104683,0.00037397887,0.0001561766,0.000028233511,0.0038142586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990289,0.00057072175,0.000029005929,0.00014686144,0.00007836667,0.00014604062],"domain_scores_gemma":[0.99911803,0.0005454496,0.00008865515,0.00004577646,0.000072234114,0.00012996078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016639124,0.0010326785,0.0009292353,0.0005368172,0.00090076757,0.00085351925,0.0010631634,0.0011773295,0.0040959516],"category_scores_gemma":[0.0020346562,0.00038770688,0.0010245669,0.00091591605,0.0006732396,0.0013607999,0.0014798153,0.0010630378,0.00024181863],"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":[0.00011255558,0.00012047741,0.0009925814,0.00010021485,0.000051100455,0.00022225622,0.00019855337,0.95251703,0.00055169285,0.023211459,0.0010396385,0.020882396],"study_design_scores_gemma":[0.00003826437,0.000078575795,0.00012533787,0.0000068441454,0.000013229565,0.00003137484,0.00011656532,0.9829838,0.00017209898,0.015567632,0.000858974,0.000007199536],"about_ca_topic_score_codex":0.008987828,"about_ca_topic_score_gemma":0.008005985,"teacher_disagreement_score":0.008987828,"about_ca_system_score_codex":0.00093520625,"about_ca_system_score_gemma":0.0022037402,"threshold_uncertainty_score":0.017871022},"labels":[],"label_agreement":null},{"id":"W4400516241","doi":"10.2172/2395898","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Fourth Quarter 2023","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Syracuse University; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electric vehicle; Environmental science; Transport engineering; Engineering; Geography; Physics; Archaeology","score_opus":0.009127072469128568,"score_gpt":0.23493361579223962,"score_spread":0.22580654332311106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400516241","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16231263,0.002950528,0.0028709753,0.004619815,0.0006801239,0.0001025351,0.71191096,0.0017999479,0.11275256],"genre_scores_gemma":[0.32475302,0.006739165,0.0041656713,0.0014224717,0.0002691544,0.00029154465,0.5885752,0.00051377324,0.07327005],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995216,0.000025623312,0.000035173005,0.00005106273,0.00027181781,0.00009472696],"domain_scores_gemma":[0.99833775,0.00007560826,0.00032981214,0.000058967278,0.0010874136,0.000110433415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048186575,0.0003994,0.00020010292,0.002095807,0.00032965202,0.0015112536,0.0003763714,0.0003899459,0.007443978],"category_scores_gemma":[0.0016115983,0.00022076143,0.00053574966,0.004881529,0.00009483437,0.0010771208,0.0006617927,0.0006605095,0.0060496666],"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":[0.00018290707,0.00008230441,0.1541659,0.0005084712,0.000066222055,0.00020871674,0.00038712416,0.002993754,0.0011435824,0.0025731784,0.74116135,0.09652641],"study_design_scores_gemma":[0.000014545744,0.000071172675,0.4196649,0.00024679082,0.000052202307,0.00031622665,0.0010486963,0.002898594,0.0029454788,0.00045917687,0.57224655,0.000035686444],"about_ca_topic_score_codex":0.109385855,"about_ca_topic_score_gemma":0.10009065,"teacher_disagreement_score":0.109385855,"about_ca_system_score_codex":0.0019477949,"about_ca_system_score_gemma":0.00190115,"threshold_uncertainty_score":0.2174983},"labels":[],"label_agreement":null},{"id":"W4400571939","doi":"10.2139/ssrn.4891455","title":"The Economics of Electric Vehicles with Application to Electricity Grids","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity Western University; University of Victoria","funders":"","keywords":"Electricity; Automotive engineering; Environmental economics; Industrial organization; Business; Electrical engineering; Economics; Engineering","score_opus":0.0025211427717137464,"score_gpt":0.18699097619409966,"score_spread":0.1844698334223859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400571939","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17382312,0.11551693,0.14963399,0.08534858,0.0034517099,0.000076816475,0.00067423505,0.00016811104,0.47130653],"genre_scores_gemma":[0.8659747,0.0485201,0.005662624,0.0009947241,0.003365455,0.00004929875,0.00015577793,0.00006107686,0.075216234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997557,0.00011876251,0.000007456535,0.00002897625,0.00006252039,0.000026515907],"domain_scores_gemma":[0.9982805,0.0013844373,0.00009606742,0.00004291012,0.00012443021,0.0000716749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051130785,0.00058778696,0.0006447401,0.00084899523,0.0006247287,0.0026622773,0.00052113016,0.0018318588,0.010663271],"category_scores_gemma":[0.0040134178,0.0003340072,0.00046779582,0.0019208777,0.0014005416,0.0030682846,0.0007500891,0.001796929,0.0005006686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022173594,0.000038257145,0.0005734983,0.00010949129,0.00002045074,0.0001492851,0.000049426293,0.040029574,0.00017424324,0.93545765,0.008532876,0.0148430895],"study_design_scores_gemma":[0.000010406814,0.000011403399,0.000710468,0.000055982437,0.000011777428,0.00006965432,0.000108293294,0.03194429,0.00008640401,0.94865143,0.018329954,0.000009843891],"about_ca_topic_score_codex":0.005879547,"about_ca_topic_score_gemma":0.0050816424,"teacher_disagreement_score":0.010663271,"about_ca_system_score_codex":0.0018877346,"about_ca_system_score_gemma":0.0011748603,"threshold_uncertainty_score":0.035672188},"labels":[],"label_agreement":null},{"id":"W4400876357","doi":"10.3390/wevj15070324","title":"Dynamic Charging Optimization Algorithm for Electric Vehicles to Mitigate Grid Power Peaks","year":2024,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Grid; Schedule; Computer science; Electric vehicle; Automotive engineering; Battery (electricity); State of charge; Power (physics); Greenhouse gas; Algorithm; Electrical engineering; Engineering","score_opus":0.003407436242073714,"score_gpt":0.21039297979667337,"score_spread":0.20698554355459967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400876357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030073265,0.00020438537,0.9620944,0.0002283376,0.000056686797,0.00009011702,0.00004924114,0.00043503623,0.0067685717],"genre_scores_gemma":[0.8396842,0.0001784378,0.15400177,0.00012386208,0.000037139776,0.0002043167,0.00015499248,0.00010283825,0.0055123996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978095,0.000047767404,0.000010460295,0.000046335743,0.000059505746,0.00005497785],"domain_scores_gemma":[0.99977,0.00010866763,0.000030129728,0.0000111348245,0.00006498426,0.000015083847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004681466,0.0007636106,0.00081919366,0.00040407645,0.0004165453,0.000832294,0.000788326,0.00064647314,0.0027427347],"category_scores_gemma":[0.00097235217,0.00034256946,0.00042711446,0.0004451779,0.000316576,0.0004933837,0.0005960185,0.0006756767,0.000340174],"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":[0.00004926961,0.00003181437,0.00030570454,0.000025662981,0.000012469645,0.00002739893,0.000027732716,0.96908563,0.0009815916,0.002447881,0.0008866973,0.02611809],"study_design_scores_gemma":[0.000005918877,0.000011333987,0.000045113487,0.0000015071007,0.0000018938754,0.0000054690886,0.000005379484,0.9990871,0.00014581851,0.00041778278,0.00027123594,0.0000014932218],"about_ca_topic_score_codex":0.0062750857,"about_ca_topic_score_gemma":0.004910837,"teacher_disagreement_score":0.0062750857,"about_ca_system_score_codex":0.0007710672,"about_ca_system_score_gemma":0.001307599,"threshold_uncertainty_score":0.0124771},"labels":[],"label_agreement":null},{"id":"W4400912262","doi":"10.1109/ic3se62002.2024.10593409","title":"Optimizing Vehicle-to-Grid Integration With Novel Energy Management Strategies and Battery Cost Considerations for Enhanced Microgrid Operations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Microgrid; Battery (electricity); Computer science; Energy management; Grid; Automotive engineering; Vehicle-to-grid; Energy (signal processing); Electric vehicle; Engineering; Power (physics); Control (management)","score_opus":0.009122047144370187,"score_gpt":0.21587380730406674,"score_spread":0.20675176015969657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400912262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23919246,0.00090684666,0.7331809,0.00051641744,0.0000748586,0.00025837022,0.00011154761,0.00045894494,0.025299724],"genre_scores_gemma":[0.9728361,0.00020009326,0.025346842,0.000024256757,0.000009791181,0.00005024612,0.00004154263,0.000029530986,0.0014617415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983275,0.00005590945,0.0000087249155,0.000020279827,0.0000516684,0.000030735027],"domain_scores_gemma":[0.9998667,0.000046175745,0.00002474494,0.000011604889,0.000038404523,0.000012301072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036920686,0.0008014281,0.00055004144,0.0003740236,0.00030273807,0.0011687424,0.0006370965,0.00038759768,0.0020861272],"category_scores_gemma":[0.0008854277,0.00024242832,0.00028761127,0.00045503472,0.00016852944,0.0015271504,0.0006389484,0.00046358316,0.0002506913],"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":[0.0000692233,0.0001468856,0.0012132372,0.000077320714,0.00004249808,0.000083853796,0.000055552882,0.9371642,0.0052906214,0.005801991,0.00067619013,0.049378484],"study_design_scores_gemma":[0.000013330072,0.00009597907,0.00068626495,0.000007567186,0.000022736647,0.000027778837,0.000100292775,0.9935556,0.0010757998,0.0033343078,0.0010715729,0.000008676077],"about_ca_topic_score_codex":0.0024226084,"about_ca_topic_score_gemma":0.005925224,"teacher_disagreement_score":0.0024226084,"about_ca_system_score_codex":0.0005161726,"about_ca_system_score_gemma":0.0006232353,"threshold_uncertainty_score":0.00697881},"labels":[],"label_agreement":null},{"id":"W4400921173","doi":"10.1155/2024/5922430","title":"Factors Affecting Consumer’s Intention to Use Electric Vehicles: Mediating Role of Awareness and Knowledge","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Consumer awareness; Electric cars; Advertising; Psychology; Marketing; Engineering; Automotive engineering","score_opus":0.009338501637868833,"score_gpt":0.24485814789504048,"score_spread":0.23551964625717164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400921173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543875,0.00013023977,0.000399755,0.00031764424,0.000007736888,0.000026096512,0.00006446033,0.0000056990316,0.003609657],"genre_scores_gemma":[0.99919266,0.00009885446,0.00021975243,0.000033985765,0.0000046380005,0.000014965412,0.000048651444,0.000001435998,0.00038510674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873644,0.0004769291,0.00013077457,0.00016927684,0.0002394318,0.0002471606],"domain_scores_gemma":[0.9862075,0.009692385,0.0021555042,0.0005396528,0.00083778746,0.00056713226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017921021,0.00033542607,0.00029375826,0.0007528558,0.0004974574,0.0016139345,0.000338079,0.0008723372,0.005597102],"category_scores_gemma":[0.009749008,0.0003099319,0.00095765287,0.00053933234,0.00079281593,0.0010640286,0.0010237255,0.0010038485,0.00027642187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111113266,0.000641183,0.9787234,0.00012642232,0.00020474724,0.00031480307,0.0049529416,0.0003142832,0.00070209475,0.001155013,0.00018835129,0.012565604],"study_design_scores_gemma":[0.000011127044,0.00018583031,0.98864645,0.000096007476,0.00024386808,0.00012927524,0.0068358136,0.0013994894,0.00058329274,0.0008311865,0.0010178667,0.000019766401],"about_ca_topic_score_codex":0.0070322305,"about_ca_topic_score_gemma":0.00671105,"teacher_disagreement_score":0.0070322305,"about_ca_system_score_codex":0.0005691401,"about_ca_system_score_gemma":0.0014329685,"threshold_uncertainty_score":0.018724203},"labels":[],"label_agreement":null},{"id":"W4400927484","doi":"10.54254/2754-1169/96/2024mur0097","title":"Analyzing the Reasons on Decreasing in Sales for Tesla","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Competition (biology); Context (archaeology); Product (mathematics); Marketing; Business; Production (economics); Sales management; China; Economics; Industrial organization; Microeconomics; Political science; Geography","score_opus":0.0075120927882287416,"score_gpt":0.25190916116216544,"score_spread":0.2443970683739367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400927484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886558,0.00038861152,0.00022921457,0.001075987,0.000018291883,0.000019041057,0.00068191084,0.000007852616,0.00892328],"genre_scores_gemma":[0.9964948,0.00035429213,0.00017459295,0.00007730621,0.000019608842,0.000010698082,0.0005682766,0.000004198717,0.0022961183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947995,0.00009595215,0.000046296664,0.0000611835,0.00018800698,0.0001285745],"domain_scores_gemma":[0.99571735,0.0012861623,0.0015852868,0.00010438231,0.001069509,0.0002373381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009835633,0.00014477277,0.00014034756,0.0011389279,0.000469695,0.0010588539,0.0003422176,0.0003293379,0.0039196573],"category_scores_gemma":[0.003888405,0.00010459714,0.00028034832,0.0014733179,0.00032178304,0.0007573034,0.00039569024,0.0005416274,0.00043084778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009964337,0.000055151388,0.9729599,0.00007096824,0.000031221098,0.0003437136,0.0011198148,0.00048798026,0.00034787974,0.0013791425,0.0024807148,0.020623866],"study_design_scores_gemma":[0.0000022067502,0.000043573793,0.98642784,0.00003071576,0.000013877911,0.00016307706,0.0059916116,0.0011542571,0.00046673085,0.00024532885,0.0054504736,0.000010246386],"about_ca_topic_score_codex":0.010553062,"about_ca_topic_score_gemma":0.024239585,"teacher_disagreement_score":0.010553062,"about_ca_system_score_codex":0.0011282557,"about_ca_system_score_gemma":0.00076480163,"threshold_uncertainty_score":0.020983279},"labels":[],"label_agreement":null},{"id":"W4400945749","doi":"10.1109/itec60657.2024.10598867","title":"Impact of Techno-Economic Parameters on Optimal Sizing of EV Fast Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Sizing; Computer science; Automotive engineering; Environmental science; Electrical engineering; Engineering; Chemistry","score_opus":0.006114901812980523,"score_gpt":0.23509031533924607,"score_spread":0.22897541352626555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90015167,0.0010474508,0.07735931,0.00033113649,0.00008923248,0.00024443745,0.00048503318,0.0001432994,0.02014833],"genre_scores_gemma":[0.9978671,0.00007297007,0.0017958573,0.000011116027,0.000002180317,0.0000125896,0.00002088324,0.0000061575106,0.00021122585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993026,0.0003505283,0.000030749536,0.00007313159,0.00012752904,0.000115396186],"domain_scores_gemma":[0.9968822,0.002444722,0.00028836963,0.00010029009,0.00022145455,0.00006293183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016941798,0.0009657494,0.00068123435,0.00073867384,0.00037403643,0.0017434094,0.0004715154,0.00093729,0.0021051813],"category_scores_gemma":[0.0044005536,0.00049800606,0.0005884254,0.00063166174,0.0006581283,0.0008731688,0.00045156453,0.00076385256,0.00016535104],"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":[0.00013533275,0.000034645993,0.0006313335,0.000045511293,0.000025731371,0.00007847165,0.000011502119,0.9935787,0.0021201363,0.0006713925,0.00007066723,0.0025966337],"study_design_scores_gemma":[0.00004888679,0.00048716643,0.0031710002,0.00003192813,0.00010551876,0.000076090495,0.00018419513,0.986174,0.007413715,0.0017936444,0.00048199907,0.0000319451],"about_ca_topic_score_codex":0.0037529133,"about_ca_topic_score_gemma":0.0039893063,"teacher_disagreement_score":0.0037529133,"about_ca_system_score_codex":0.0012022761,"about_ca_system_score_gemma":0.00078329473,"threshold_uncertainty_score":0.00895977},"labels":[],"label_agreement":null},{"id":"W4400996384","doi":"10.54254/2754-1169/102/2024ed0089","title":"A Financial Analysis and Valuation of Electric Vehicle Companies","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Toronto","funders":"","keywords":"Profitability index; Business; Profit margin; Market share; Industrial organization; Finance; Profit (economics); Economics; Microeconomics","score_opus":0.006470960153476443,"score_gpt":0.2318644233692376,"score_spread":0.22539346321576115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400996384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97417325,0.0016271747,0.0021224068,0.0004397098,0.000027161519,0.000047596634,0.0014430493,0.000022031969,0.020097554],"genre_scores_gemma":[0.9967601,0.00043293744,0.0003860312,0.0000132445175,0.000027631471,0.000013070804,0.0009103059,0.000002443745,0.0014541993],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941444,0.000120628036,0.000047228532,0.00005569415,0.00024658203,0.000115418676],"domain_scores_gemma":[0.9976587,0.000937003,0.00058109086,0.00007306792,0.00055213366,0.00019784784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011245009,0.00039176212,0.00018914665,0.004304815,0.00037861086,0.0023109524,0.0002946696,0.00044845667,0.0017122168],"category_scores_gemma":[0.004497372,0.00010394427,0.00042493443,0.0034344625,0.00037247522,0.0018678976,0.00051778747,0.00040788855,0.0002566947],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005002549,0.0003562734,0.75146353,0.00019965296,0.00016235355,0.002430152,0.00095860567,0.04006967,0.0036532267,0.038424697,0.0077339993,0.1540475],"study_design_scores_gemma":[0.000028463115,0.00060044177,0.7957415,0.00022065824,0.00010710536,0.001727403,0.005996332,0.1489424,0.0029937073,0.017270522,0.0262502,0.00012131582],"about_ca_topic_score_codex":0.0043639564,"about_ca_topic_score_gemma":0.0024616227,"teacher_disagreement_score":0.0043639564,"about_ca_system_score_codex":0.001418285,"about_ca_system_score_gemma":0.0005127296,"threshold_uncertainty_score":0.010290384},"labels":[],"label_agreement":null},{"id":"W4401013525","doi":"10.1016/b978-0-443-13969-7.00009-6","title":"Vehicle electrification and energy storage systems in modern power grids","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Energy storage; Environmental science; Electrical engineering; Computer science; Power (physics); Automotive engineering; Engineering; Physics; Electricity","score_opus":0.0045910900328633986,"score_gpt":0.1783980599711299,"score_spread":0.1738069699382665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401013525","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011334186,0.18068579,0.053965807,0.004901898,0.0031883693,0.00004052925,0.00021123143,0.00032730735,0.74534476],"genre_scores_gemma":[0.1398316,0.15364048,0.010023682,0.00076849,0.0017746344,0.00003862755,0.00021103596,0.00010363189,0.69360787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999966,0.0000070470833,0.0000017345798,0.0000061699034,0.0000152139955,0.0000037086436],"domain_scores_gemma":[0.99996316,0.000019689498,0.0000024939268,0.0000042522447,0.0000082636,0.0000021165197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083715604,0.00048225131,0.00026264967,0.00033006934,0.00018349093,0.0009904451,0.0002996095,0.00060258096,0.014853144],"category_scores_gemma":[0.00014211738,0.00016999668,0.00016464951,0.0009638824,0.00039417428,0.0015947204,0.00029520833,0.0006326591,0.002236229],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046603414,0.000053531192,0.00022917878,0.0004999664,0.000016724447,0.00014918952,0.00017233251,0.019037131,0.0018981271,0.44080037,0.10175387,0.435343],"study_design_scores_gemma":[0.000008335621,0.00005166348,0.00054892496,0.0002871439,0.0000128685215,0.0002459835,0.00021366792,0.0116243055,0.00082017586,0.21660446,0.7695708,0.0000118210555],"about_ca_topic_score_codex":0.0012454095,"about_ca_topic_score_gemma":0.002392811,"teacher_disagreement_score":0.014853144,"about_ca_system_score_codex":0.00046398523,"about_ca_system_score_gemma":0.00033243594,"threshold_uncertainty_score":0.049688756},"labels":[],"label_agreement":null},{"id":"W4401013568","doi":"10.1016/b978-0-443-13969-7.00003-5","title":"Forecasting of vehicle electrification in modern power grids","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Q & T Research; Université de Sherbrooke","funders":"","keywords":"Electrification; Power grid; Power (physics); Automotive engineering; Electrical engineering; Computer science; Engineering; Electricity; Physics","score_opus":0.00944795865845527,"score_gpt":0.1962302688352304,"score_spread":0.18678231017677513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401013568","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12732951,0.033429533,0.60183233,0.0072783586,0.0024986404,0.000064813634,0.006398612,0.0028587752,0.21830949],"genre_scores_gemma":[0.83194715,0.021489508,0.057025272,0.00022671887,0.00084209297,0.0000358874,0.0031777075,0.0002661743,0.08498938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99993455,0.000014471431,0.0000034643572,0.000014379616,0.000028016091,0.0000050978924],"domain_scores_gemma":[0.9998473,0.00008556951,0.000018482933,0.000014086575,0.000026297494,0.00000816705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025240754,0.00048800503,0.0002508943,0.00062735844,0.000100598634,0.00079543126,0.00043456358,0.00059531257,0.0049155923],"category_scores_gemma":[0.000696755,0.00016347297,0.00021212267,0.0012685178,0.00015375493,0.0014477093,0.00020561554,0.0004748794,0.001344261],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005021932,0.000023469674,0.0051342673,0.00013330707,0.000036844856,0.000114023685,0.000052553965,0.5262168,0.001170085,0.02643052,0.038474496,0.40216345],"study_design_scores_gemma":[0.0000067909045,0.000043462096,0.0069441935,0.0001759715,0.000019758521,0.00015676099,0.00012287789,0.82398045,0.0012261538,0.09644399,0.07084947,0.000030089726],"about_ca_topic_score_codex":0.004889993,"about_ca_topic_score_gemma":0.0059799356,"teacher_disagreement_score":0.0049155923,"about_ca_system_score_codex":0.000398398,"about_ca_system_score_gemma":0.00021128498,"threshold_uncertainty_score":0.016444325},"labels":[],"label_agreement":null},{"id":"W4401013606","doi":"10.1016/b978-0-443-13969-7.00001-1","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Computer science","score_opus":0.0043504930030058755,"score_gpt":0.18286630762326903,"score_spread":0.17851581462026314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401013606","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008854768,0.013684596,0.00540751,0.006285736,0.011105918,0.00014730662,0.0019845613,0.001158749,0.9593401],"genre_scores_gemma":[0.0034948573,0.0080135185,0.0026584265,0.0023599423,0.0019945512,0.0000842071,0.0021806685,0.00041344954,0.97880036],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912864,0.000084088686,0.000049611237,0.00022923209,0.000417558,0.00009084675],"domain_scores_gemma":[0.99943835,0.000081397615,0.00003115174,0.00006709514,0.0002815309,0.0001004652],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00043681296,0.001115352,0.00083935354,0.0014825764,0.0015813434,0.0058867084,0.0017404336,0.0023541746,0.4115569],"category_scores_gemma":[0.0017897903,0.00039470315,0.0007425687,0.0015417859,0.00070568227,0.003989098,0.0027091948,0.002271655,0.29845676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038495633,0.000053016418,0.00021492444,0.00038267282,0.0000064924343,0.00017126449,0.00037246224,0.0002783051,0.000717124,0.04350152,0.7507338,0.20352982],"study_design_scores_gemma":[0.0000014913954,0.0000077512195,0.000081049424,0.00009142541,0.0000012037912,0.00009823578,0.000055332082,0.00003190663,0.00005982026,0.0021068954,0.99746156,0.0000032467478],"about_ca_topic_score_codex":0.0020686344,"about_ca_topic_score_gemma":0.002797377,"teacher_disagreement_score":0.5884431,"about_ca_system_score_codex":0.0015933925,"about_ca_system_score_gemma":0.0017292629,"threshold_uncertainty_score":0.83934265},"labels":[],"label_agreement":null},{"id":"W4401099684","doi":"10.62051/ijgem.v3n3.15","title":"A Review of the Current Status of Global Electric Vehicle Charging Infrastructure Development","year":2024,"lang":"en","type":"review","venue":"International Journal of Global Economics and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Standardization; Promotion (chess); Business; China; Electric vehicle; Environmental economics; Telecommunications; Engineering; Computer science; Geography; Economics; Political science","score_opus":0.008013787396118398,"score_gpt":0.26484542694324525,"score_spread":0.25683163954712684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401099684","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014716035,0.9837562,0.0010491596,0.0022969411,0.0010908596,0.000014227885,0.0002559612,0.000043485543,0.010021649],"genre_scores_gemma":[0.0063464846,0.99085194,0.0005173834,0.00042471057,0.0005879887,0.0000086416985,0.00025111294,0.000009415412,0.0010023295],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935454,0.00012349917,0.00011516833,0.000120182645,0.00022968288,0.00005691424],"domain_scores_gemma":[0.99772817,0.0011416877,0.00032314274,0.00006974516,0.00063261215,0.00010461066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112449,0.0008115994,0.0006308152,0.004409743,0.0004351097,0.0020136232,0.00069652364,0.000895053,0.0074526183],"category_scores_gemma":[0.0027538221,0.0003765284,0.0005502879,0.0099519575,0.0004984249,0.0038191935,0.0009159921,0.0009078122,0.0015416632],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050074046,0.000051982934,0.0020394935,0.029791024,0.0000764494,0.0002129632,0.0002869726,0.0015835782,0.0006002748,0.019802682,0.074316114,0.87118834],"study_design_scores_gemma":[0.0000036809174,0.00005988852,0.0038628536,0.008603289,0.00010202918,0.00046279345,0.00040983246,0.0003574356,0.00026555345,0.00322625,0.9826202,0.00002624455],"about_ca_topic_score_codex":0.0031096735,"about_ca_topic_score_gemma":0.0036370251,"teacher_disagreement_score":0.0074526183,"about_ca_system_score_codex":0.0010624424,"about_ca_system_score_gemma":0.002679223,"threshold_uncertainty_score":0.02493143},"labels":[],"label_agreement":null},{"id":"W4401113612","doi":"10.1109/melecon56669.2024.10608531","title":"User-centric Charging Service Recommendation for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Service (business); Automotive engineering; Engineering; Business","score_opus":0.007386805242075667,"score_gpt":0.2175391976565614,"score_spread":0.21015239241448574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401113612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20668998,0.0020473546,0.7786755,0.000711006,0.00017766184,0.00028067088,0.00043798547,0.001772408,0.009207488],"genre_scores_gemma":[0.95225614,0.00042181395,0.043898728,0.000101552316,0.000041225783,0.000059185248,0.00031202135,0.000027577717,0.0028817218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992874,0.00023973118,0.000038833856,0.00013887575,0.0001865663,0.000108659835],"domain_scores_gemma":[0.9993723,0.00022395347,0.00004447155,0.000080925136,0.00023208016,0.00004637422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089492084,0.0005348483,0.0006825536,0.0007944832,0.00040814272,0.00078794855,0.001292655,0.0009418556,0.0016675522],"category_scores_gemma":[0.002012946,0.00027692725,0.0004942394,0.0011493898,0.00022697433,0.0009557451,0.00041111084,0.0004768453,0.00059015217],"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":[0.0006379062,0.00043716058,0.011073113,0.00022060369,0.00023740677,0.00033409553,0.00018144817,0.54804605,0.009530752,0.007564574,0.010482488,0.4112544],"study_design_scores_gemma":[0.00001424416,0.0000744856,0.0010683448,0.0000051610286,0.000028081831,0.00006476551,0.000044941233,0.9949175,0.0010696242,0.0013474216,0.0013515269,0.000013880372],"about_ca_topic_score_codex":0.023849793,"about_ca_topic_score_gemma":0.034423795,"teacher_disagreement_score":0.023849793,"about_ca_system_score_codex":0.0008798359,"about_ca_system_score_gemma":0.0007928122,"threshold_uncertainty_score":0.047421932},"labels":[],"label_agreement":null},{"id":"W4401198847","doi":"10.2172/2329422","title":"Multi-State Transportation Electrification Impact Study: Preparing the Grid for Light-, Medium-, and Heavy-Duty Electric Vehicles","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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":"Lawrence Berkeley National Laboratory; National Renewable Energy Laboratory; Otsuka Canada Pharmaceutical; U.S. Department of Energy; U.S. Environmental Protection Agency; Electric Power Research Institute; California Public Utilities Commission; California Air Resources Board; California Energy Commission","keywords":"Electrification; Environmental economics; Capital cost; Business; Grid; Investment (military); Transport engineering; Engineering; Electricity; Economics; Electrical engineering","score_opus":0.01452063525865315,"score_gpt":0.278463866907873,"score_spread":0.26394323164921984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401198847","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922462,0.000020352063,0.0011675771,0.0001645962,0.000010509948,0.00011236084,0.0005531254,0.000031429765,0.0056939377],"genre_scores_gemma":[0.99794894,0.000028331517,0.0008703795,0.000027601549,0.000002968346,0.000055989087,0.00040601316,0.0000035691899,0.000656242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993193,0.00031221204,0.000023432365,0.00007277902,0.00015240295,0.0001199016],"domain_scores_gemma":[0.9983929,0.00082009396,0.000153321,0.00013357306,0.00039284627,0.00010719958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010431758,0.0006088144,0.0003802793,0.0010757026,0.0006713303,0.0012176313,0.000725221,0.00084509124,0.0021757798],"category_scores_gemma":[0.002155731,0.00033486646,0.0015056925,0.0012419849,0.0004320335,0.0015580753,0.000660287,0.0011515426,0.00018032471],"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":[0.0017049392,0.0034044113,0.08587379,0.00013841514,0.0005041141,0.00067421235,0.00027014158,0.86705023,0.0058288593,0.009299699,0.0033490877,0.021902053],"study_design_scores_gemma":[0.00031083458,0.0032536252,0.1439293,0.000029022636,0.00044578593,0.00017322962,0.0019955565,0.8334796,0.009633146,0.003131823,0.0035173048,0.000100698875],"about_ca_topic_score_codex":0.03726029,"about_ca_topic_score_gemma":0.055553865,"teacher_disagreement_score":0.03726029,"about_ca_system_score_codex":0.0036211452,"about_ca_system_score_gemma":0.001617955,"threshold_uncertainty_score":0.074086845},"labels":[],"label_agreement":null},{"id":"W4401243478","doi":"10.1016/j.apenergy.2024.124018","title":"Multi-time scales prediction of aggregated schedulable capacity of electric vehicle fleets based on enhanced Prophet-LGBM algorithm","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Project 211; Natural Science Foundation of Anhui Province; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Electric vehicle; Algorithm; Computer science; Automotive engineering; Engineering; Physics; Thermodynamics","score_opus":0.004834470254709378,"score_gpt":0.1755299460827189,"score_spread":0.17069547582800954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401243478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2433692,0.00087083527,0.74873334,0.00036350262,0.00019143765,0.00007927446,0.00040652129,0.0012471189,0.004738692],"genre_scores_gemma":[0.9530581,0.000098952754,0.04564519,0.000040436218,0.000032306307,0.00004685426,0.00022419162,0.000034701578,0.0008192694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.000044303815,0.000007976454,0.000060378068,0.00004619477,0.00004978524],"domain_scores_gemma":[0.99942076,0.00033231516,0.000059518075,0.000040906798,0.0001075861,0.00003889026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051681633,0.00057802675,0.000685045,0.00042467666,0.00041707238,0.00049725705,0.0008871863,0.00041937997,0.0012583439],"category_scores_gemma":[0.0015585241,0.00019653125,0.00029302033,0.0005056787,0.0002337642,0.0005534294,0.00043024938,0.0004497178,0.00015659754],"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":[0.00014630043,0.000027639531,0.001057087,0.000032986747,0.00001940945,0.00003867193,0.000021998067,0.9721327,0.0014534456,0.0008633904,0.00074280106,0.023463618],"study_design_scores_gemma":[0.0000027605445,0.000007945786,0.00011636739,0.0000012874076,0.000001382229,0.0000031671298,0.0000033973902,0.9994505,0.00012114381,0.00024993872,0.000041155592,9.878835e-7],"about_ca_topic_score_codex":0.013241749,"about_ca_topic_score_gemma":0.010382723,"teacher_disagreement_score":0.013241749,"about_ca_system_score_codex":0.00050797104,"about_ca_system_score_gemma":0.0010052343,"threshold_uncertainty_score":0.026329339},"labels":[],"label_agreement":null},{"id":"W4401336526","doi":"10.1109/speedam61530.2024.10609181","title":"E-buses Charging Phase: an Optimized Model for Charging Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Natural Resources Canada","funders":"","keywords":"Phase (matter); Computer science; Automotive engineering; Electrical engineering; Engineering; Physics","score_opus":0.01422157992579621,"score_gpt":0.26022659546887567,"score_spread":0.24600501554307946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401336526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029019454,0.00027840174,0.94818515,0.00052677724,0.00008237753,0.000119679746,0.0006217786,0.00039218916,0.020774204],"genre_scores_gemma":[0.88064224,0.0003988381,0.09559055,0.00016258043,0.000060492745,0.00034232833,0.0006464404,0.00015528202,0.022001194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997943,0.00007330299,0.000008703953,0.00003692411,0.00003773088,0.000049012273],"domain_scores_gemma":[0.99977046,0.000119906545,0.000026701264,0.00001381046,0.000054247088,0.00001488207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004665409,0.000706277,0.0007786312,0.00045098722,0.00042212903,0.001325165,0.0010460977,0.0015998975,0.0067392737],"category_scores_gemma":[0.0010021891,0.00044870848,0.00089036964,0.0006367298,0.00048387717,0.0009197653,0.0006989014,0.0010620898,0.00079900015],"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":[0.000023564786,0.000007146502,0.000071703376,0.000011115952,0.0000041854273,0.000012417331,0.0000052780906,0.9957385,0.000116245414,0.00216644,0.00024099201,0.0016023681],"study_design_scores_gemma":[0.000005340025,0.0000062338527,0.000021478967,0.0000018768936,0.0000024918047,0.0000024121725,0.0000027665455,0.9988655,0.00007511267,0.0007197961,0.00029547545,0.000001513466],"about_ca_topic_score_codex":0.015878724,"about_ca_topic_score_gemma":0.010727792,"teacher_disagreement_score":0.015878724,"about_ca_system_score_codex":0.0009976688,"about_ca_system_score_gemma":0.001409465,"threshold_uncertainty_score":0.03157264},"labels":[],"label_agreement":null},{"id":"W4401392672","doi":"10.1287/msom.2022.0381","title":"From Curtailed Renewable Energy to Green Hydrogen: Infrastructure Planning for Hydrogen Fuel-Cell Vehicles","year":2024,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Hydrogen vehicle; Fuel cells; Hydrogen fuel; Business; Environmental economics; Hydrogen; Natural resource economics; Economics; Engineering; Chemistry","score_opus":0.006006106760950497,"score_gpt":0.20545513613443617,"score_spread":0.19944902937348566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401392672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14981276,0.003795369,0.7676753,0.011255747,0.00031507833,0.0011024727,0.004398104,0.00047108307,0.061174072],"genre_scores_gemma":[0.8829927,0.0022586668,0.10068692,0.0004512879,0.00011655123,0.0009125691,0.0014131208,0.00012618753,0.011041965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991872,0.00039351216,0.000021144731,0.00016858186,0.000076942146,0.00015256355],"domain_scores_gemma":[0.99854374,0.0009642723,0.00015729322,0.000029468907,0.00012931829,0.00017607507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161805,0.0014690945,0.0015996225,0.00091630936,0.00069973856,0.0022784967,0.0016558699,0.0022766786,0.009840341],"category_scores_gemma":[0.0036336866,0.0011659281,0.0012089469,0.001644599,0.0015327563,0.0018434812,0.0017422016,0.002163419,0.0005022297],"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":[0.00003760689,0.00004417963,0.0006492638,0.00011734207,0.00002593004,0.00014764442,0.00006677411,0.97461647,0.00013857296,0.01745516,0.0020004942,0.004700604],"study_design_scores_gemma":[0.000029079909,0.00003742951,0.0003616352,0.000044509383,0.000015935948,0.000023688652,0.00016549548,0.9788188,0.0001174113,0.018612843,0.0017569354,0.000016318902],"about_ca_topic_score_codex":0.042036995,"about_ca_topic_score_gemma":0.027234852,"teacher_disagreement_score":0.042036995,"about_ca_system_score_codex":0.0037676005,"about_ca_system_score_gemma":0.006108171,"threshold_uncertainty_score":0.083584666},"labels":[],"label_agreement":null},{"id":"W4401537635","doi":"10.1109/tce.2024.3442932","title":"Empowering Consumer Electric Vehicle Mobile Charging Services With Secure Profit Optimization","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Electric vehicle; Business; Profit (economics); Mobile telephony; Automotive engineering; Computer science; Telecommunications; Engineering; Mobile radio; Economics; Power (physics)","score_opus":0.0033665313746882282,"score_gpt":0.20952589343593675,"score_spread":0.20615936206124852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401537635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12798665,0.00013327728,0.86568445,0.00046043916,0.000044451717,0.000093581366,0.000038181995,0.00083049317,0.0047283918],"genre_scores_gemma":[0.9776937,0.0000359674,0.021212514,0.000054413566,0.000010563904,0.000019892128,0.000020345686,0.000018315666,0.0009343191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992918,0.00017564827,0.000026608705,0.00012413443,0.00020760197,0.0001742586],"domain_scores_gemma":[0.99924684,0.00021462848,0.00012598012,0.00019913293,0.00015674815,0.00005664506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141209,0.0003993623,0.0004855731,0.00024370386,0.0005010453,0.0010292478,0.0009629618,0.00058455265,0.0009033883],"category_scores_gemma":[0.0020361731,0.00018108283,0.00031643632,0.00034890647,0.0006784846,0.0014841359,0.0015347359,0.00084253354,0.0002819722],"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":[0.0005704937,0.00039131497,0.0038902008,0.00007765964,0.000058812642,0.00023986211,0.00017359992,0.7830422,0.018786568,0.034653664,0.0023794784,0.15573613],"study_design_scores_gemma":[0.000009323191,0.000047649428,0.00020094936,0.000003059755,0.000005405439,0.000041836673,0.000023510136,0.9848743,0.004212226,0.009915286,0.00066087436,0.000005468108],"about_ca_topic_score_codex":0.0011405727,"about_ca_topic_score_gemma":0.0012810676,"teacher_disagreement_score":0.001141209,"about_ca_system_score_codex":0.0008666748,"about_ca_system_score_gemma":0.0010803975,"threshold_uncertainty_score":0.0062882304},"labels":[],"label_agreement":null},{"id":"W4401576632","doi":"10.1007/s11116-024-10525-1","title":"Which variables influence electric vehicle adoption?","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Concordia University; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council; Fonds de recherche du Québec – Nature et technologies","keywords":"Greenhouse gas; Internal combustion engine; Principal (computer security); Electric vehicle; Preference; Battery electric vehicle; Environmental economics; Business; Environmental science; Engineering; Automotive engineering; Economics; Computer science","score_opus":0.0031779855481541388,"score_gpt":0.19201334079260843,"score_spread":0.1888353552444543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401576632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98400474,0.001363347,0.00072898297,0.004463348,0.0001267999,0.000053503787,0.0012151385,0.000018686655,0.008025393],"genre_scores_gemma":[0.9964629,0.00035969244,0.00020678696,0.00025100977,0.000055620298,0.00001893555,0.00038055785,0.000013756542,0.0022508872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767,0.0009102232,0.00018181268,0.0002655373,0.0002851599,0.0006871721],"domain_scores_gemma":[0.96594185,0.019556059,0.008698846,0.0011070701,0.0017636677,0.0029325834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025720275,0.00038587596,0.0005416217,0.0011781007,0.0010697386,0.00356562,0.0008848331,0.0020243148,0.018352453],"category_scores_gemma":[0.021479886,0.00034682432,0.0013804829,0.002127143,0.001397448,0.002578725,0.001117486,0.0020888657,0.0016123895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015770856,0.0002733893,0.99109066,0.000047162106,0.00022468883,0.00014270397,0.0005886255,0.0001959851,0.000089166715,0.0010875926,0.00097172597,0.0051306277],"study_design_scores_gemma":[0.00002789698,0.00011876524,0.9825004,0.00019696429,0.0003570715,0.00018314918,0.009051755,0.0009623375,0.00050533435,0.0019063299,0.004166628,0.000023423961],"about_ca_topic_score_codex":0.037397202,"about_ca_topic_score_gemma":0.045634005,"teacher_disagreement_score":0.037397202,"about_ca_system_score_codex":0.00097060046,"about_ca_system_score_gemma":0.002538432,"threshold_uncertainty_score":0.07435906},"labels":[],"label_agreement":null},{"id":"W4401631966","doi":"10.22215/etd/2024-16137","title":"Estimating the Demand, Cost, and Emissions of a Hydrogen-Based Decarbonization Strategy for Airports","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Federal Aviation Administration; Transport Canada","keywords":"Aviation; Engineering; Environmental economics; Operations research; Transport engineering; Environmental science; Aeronautics; Business; Economics; Aerospace engineering","score_opus":0.00770900280323642,"score_gpt":0.24532017785566967,"score_spread":0.23761117505243326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401631966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93059295,0.0025926642,0.009887383,0.005163774,0.000098451164,0.00013983781,0.004114319,0.00006391084,0.047346774],"genre_scores_gemma":[0.9720749,0.004614434,0.010788524,0.00013768983,0.000036269917,0.000059180813,0.002206835,0.000031997955,0.010050023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997563,0.00006019559,0.000009929881,0.000043303953,0.000066642526,0.00006366872],"domain_scores_gemma":[0.9988605,0.00071783323,0.00011083739,0.000029149078,0.00021816697,0.00006357842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007374377,0.0005033334,0.00030957963,0.00070642814,0.00043075313,0.0021928174,0.00049057044,0.00075338985,0.00474298],"category_scores_gemma":[0.0033970466,0.00038378008,0.00047027363,0.0014673239,0.00017559834,0.001760789,0.00044059684,0.0011238675,0.000909237],"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":[0.00048832415,0.0002747418,0.075793386,0.00071510073,0.00020181424,0.00027778294,0.00047006522,0.7131799,0.0041534672,0.046123493,0.024023347,0.13429862],"study_design_scores_gemma":[0.00004347461,0.0005839522,0.084619746,0.00046362972,0.00023905086,0.0001167096,0.007888988,0.84648526,0.0048182285,0.026356004,0.028233461,0.00015149912],"about_ca_topic_score_codex":0.06544701,"about_ca_topic_score_gemma":0.09804919,"teacher_disagreement_score":0.06544701,"about_ca_system_score_codex":0.0045086155,"about_ca_system_score_gemma":0.002422628,"threshold_uncertainty_score":0.13013214},"labels":[],"label_agreement":null},{"id":"W4401685987","doi":"10.3390/en17164109","title":"The Economics of Electric Vehicles with Application to Electricity Grids","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity Western University; University of Victoria; Western University","funders":"University of Victoria","keywords":"Electricity; Environmental economics; Automotive engineering; Economics; Environmental science; Engineering; Electrical engineering","score_opus":0.002039131777596982,"score_gpt":0.17120497295839607,"score_spread":0.16916584118079908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401685987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5981923,0.007823542,0.017410181,0.009309715,0.00017676769,0.000086319924,0.0011935865,0.000058366004,0.3657492],"genre_scores_gemma":[0.9838383,0.0021790764,0.00068629446,0.00012024281,0.000025143427,0.000008195911,0.000114679286,0.000007144211,0.0130209355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971455,0.000084524516,0.000004473573,0.000020066818,0.00010348627,0.00007290952],"domain_scores_gemma":[0.99931073,0.00033430677,0.00007907444,0.000027518518,0.00018771485,0.00006060437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918989,0.00019909331,0.0001329486,0.00043238286,0.00047268454,0.001608491,0.00037919168,0.00046615812,0.0062445984],"category_scores_gemma":[0.0022839874,0.0001439371,0.00021183728,0.000998129,0.0009903574,0.0008831527,0.00035720892,0.0004902205,0.0001966394],"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":[0.000083211155,0.000071338596,0.030815518,0.00008188173,0.00005561156,0.00040073445,0.00011194744,0.37081134,0.00053839287,0.55563015,0.010948268,0.030451592],"study_design_scores_gemma":[0.000066304594,0.00018069772,0.092770405,0.000249214,0.000111577596,0.00051979366,0.002280284,0.42977887,0.0013806545,0.30025026,0.17230932,0.00010269349],"about_ca_topic_score_codex":0.29046017,"about_ca_topic_score_gemma":0.32678893,"teacher_disagreement_score":0.29046017,"about_ca_system_score_codex":0.0076605333,"about_ca_system_score_gemma":0.003646266,"threshold_uncertainty_score":0.57753897},"labels":[],"label_agreement":null},{"id":"W4401687388","doi":"10.1109/jiot.2024.3445601","title":"<i>TEMP:</i> Cost-Aware Two-Stage Energy Management for Electrical Vehicles Empowered by Blockchain","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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":"National Key Research and Development Program of China; Natural Science Foundation of Hubei Province; Key Laboratory of Intelligent Multimedia Technology; National Natural Science Foundation of China","keywords":"Blockchain; Computer science; Energy management; Stage (stratigraphy); Energy (signal processing); Computer security","score_opus":0.005818075713971614,"score_gpt":0.22865750719347083,"score_spread":0.22283943147949922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401687388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025994794,0.0012030975,0.9325976,0.002282048,0.00048841216,0.00026983718,0.0005656136,0.0046733357,0.031925194],"genre_scores_gemma":[0.81960917,0.001792185,0.1530269,0.00072653923,0.00030360132,0.0003359205,0.0017115368,0.00042959268,0.022064596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994804,0.00012748278,0.000028226228,0.000084129686,0.00019803208,0.00008175097],"domain_scores_gemma":[0.99928683,0.00016789301,0.000062030675,0.00022212914,0.00017397843,0.00008717246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008003527,0.00051661045,0.00042224335,0.00028479422,0.00043717583,0.0014731382,0.0013571229,0.0009077667,0.008910036],"category_scores_gemma":[0.0019520853,0.00021040966,0.00029592888,0.00062119565,0.0005929334,0.0029395183,0.0020053592,0.0011463119,0.0021264832],"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":[0.0004512455,0.00030292285,0.0027198524,0.00048763125,0.000088023764,0.0004456344,0.00017186078,0.3222988,0.024586212,0.14671773,0.061327245,0.44040295],"study_design_scores_gemma":[0.000022960081,0.00010737744,0.0002986515,0.000029890782,0.000010396164,0.00010618689,0.000023544115,0.93770146,0.006259503,0.027260689,0.028159102,0.000020166774],"about_ca_topic_score_codex":0.0018808749,"about_ca_topic_score_gemma":0.002673999,"teacher_disagreement_score":0.008910036,"about_ca_system_score_codex":0.0006515203,"about_ca_system_score_gemma":0.0012027617,"threshold_uncertainty_score":0.029807031},"labels":[],"label_agreement":null},{"id":"W4401693561","doi":"10.1109/ictem60690.2024.10631928","title":"StateEVMan: Advanced Predictive Ensemble Optimization of Electric Vehicle Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Windsor","funders":"","keywords":"Computer science; Electric vehicle; Automotive engineering; Engineering; Physics","score_opus":0.003348497850204009,"score_gpt":0.19976640822328726,"score_spread":0.19641791037308326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401693561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10766505,0.0009824057,0.8809182,0.00049285643,0.00018246745,0.00007243746,0.00093331654,0.002786331,0.0059668943],"genre_scores_gemma":[0.9059982,0.00045754985,0.087685354,0.00016063877,0.000100057376,0.00014310732,0.001663928,0.00012104195,0.0036701618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998041,0.0000584519,0.000011742146,0.000047946596,0.000047976606,0.00002976334],"domain_scores_gemma":[0.99959296,0.0002111179,0.000041806074,0.000039952167,0.00009731166,0.000016785067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007833648,0.0009779078,0.0009711661,0.00044326534,0.00030377312,0.00076980557,0.0010476275,0.0007285693,0.0012597074],"category_scores_gemma":[0.0016824629,0.0004942441,0.0007876187,0.0007405031,0.00022005009,0.00077097287,0.000713406,0.0012706709,0.00026262965],"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":[0.000022328702,0.000019935593,0.0006488353,0.0000123602795,0.00004230593,0.000011121457,0.000007203529,0.97686213,0.00021256016,0.0004685864,0.00078230194,0.020910285],"study_design_scores_gemma":[0.0000012399972,0.000005215125,0.00006774057,0.000001294615,0.0000028088582,0.0000012185955,0.0000012934315,0.9994981,0.00008526377,0.00022913802,0.00010529895,0.0000013417442],"about_ca_topic_score_codex":0.020378213,"about_ca_topic_score_gemma":0.024006007,"teacher_disagreement_score":0.020378213,"about_ca_system_score_codex":0.00057602645,"about_ca_system_score_gemma":0.001090364,"threshold_uncertainty_score":0.040519178},"labels":[],"label_agreement":null},{"id":"W4401713753","doi":"10.3390/technologies12080137","title":"A Smart Approach to Electric Vehicle Optimization via IoT-Enabled Recommender Systems","year":2024,"lang":"en","type":"article","venue":"Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Prince Sultan University","keywords":"Recommender system; Computer science; Internet of Things; Electric vehicle; Embedded system; World Wide Web","score_opus":0.007483455325948573,"score_gpt":0.19182810274552176,"score_spread":0.18434464741957318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401713753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042507537,0.0010815533,0.9493145,0.0006357266,0.00014470842,0.00007511133,0.00011382454,0.00050920725,0.005617787],"genre_scores_gemma":[0.82694274,0.00074280746,0.16685933,0.00033639735,0.00018070356,0.00015762117,0.0002881995,0.00004734424,0.0044448837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960536,0.00015690029,0.000021452159,0.00009996766,0.00007384226,0.000042432846],"domain_scores_gemma":[0.9990478,0.00056005863,0.0000950422,0.000066137574,0.00019254521,0.000038359674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094979565,0.00068493263,0.0010027818,0.0005458476,0.00038967165,0.0008858163,0.0009892267,0.0011434485,0.0017490676],"category_scores_gemma":[0.002547349,0.00038962538,0.0006000372,0.0006426812,0.00037278215,0.0008684625,0.0006823722,0.00096291414,0.00040424344],"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":[0.00007773546,0.000113859845,0.0021119497,0.00006418796,0.000107137625,0.00007114004,0.00004776212,0.92921025,0.0011341502,0.0076946774,0.00159894,0.057768203],"study_design_scores_gemma":[0.000007789976,0.000024100424,0.00015940951,0.0000045596453,0.0000081647195,0.000009805245,0.0000072559546,0.99804187,0.00013071527,0.0011872782,0.00041503296,0.000003948329],"about_ca_topic_score_codex":0.008578304,"about_ca_topic_score_gemma":0.009575422,"teacher_disagreement_score":0.008578304,"about_ca_system_score_codex":0.00045951852,"about_ca_system_score_gemma":0.00066896307,"threshold_uncertainty_score":0.017056763},"labels":[],"label_agreement":null},{"id":"W4401808285","doi":"10.1109/iccmso61761.2024.00025","title":"Optimizing Profit-Driven Unit Commitment in Dynamic Electricity Markets: A Focus on Electric Vehicles and Renewable Energy Integration","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Electricity; Renewable energy; Profit (economics); Power system simulation; Electricity market; Environmental economics; Business; Electricity retailing; Focus (optics); Electricity system; Industrial organization; Automotive engineering; Electricity generation; Microeconomics; Electrical engineering; Economics; Electric power system; Engineering","score_opus":0.005612359522489797,"score_gpt":0.2058573289215568,"score_spread":0.20024496939906702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401808285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032892186,0.061278388,0.86118674,0.0055989954,0.0007360294,0.00012944955,0.00013698556,0.00014953544,0.037891727],"genre_scores_gemma":[0.8234946,0.07244571,0.08952607,0.0010956,0.00096747465,0.00025161827,0.00019288599,0.00015947864,0.011866528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993206,0.00035869796,0.000027502838,0.000105591156,0.00012090256,0.000066608016],"domain_scores_gemma":[0.99829644,0.0013739121,0.00013127412,0.00003601466,0.0001110674,0.00005136133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015012859,0.0010971485,0.0013520161,0.00039704103,0.0003666502,0.0023817306,0.0011986359,0.0013564011,0.0029821016],"category_scores_gemma":[0.0041293614,0.00042271634,0.00078003516,0.0012269404,0.0009729832,0.0018844457,0.0013001782,0.00234828,0.00032721474],"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":[0.00004163397,0.000056924917,0.0006352569,0.00065410015,0.000107078726,0.00018795661,0.000080647085,0.8174246,0.00036842783,0.12060988,0.0024342283,0.05739928],"study_design_scores_gemma":[0.000010916499,0.00006250089,0.00031724715,0.00020121636,0.000031920594,0.000074255346,0.000119133554,0.9356004,0.00020086991,0.055822175,0.0075399126,0.000019395304],"about_ca_topic_score_codex":0.002555837,"about_ca_topic_score_gemma":0.0021774666,"teacher_disagreement_score":0.0029821016,"about_ca_system_score_codex":0.00086963834,"about_ca_system_score_gemma":0.001175336,"threshold_uncertainty_score":0.009976149},"labels":[],"label_agreement":null},{"id":"W4401812300","doi":"10.55016/ojs/sppp.v12i1.68296","title":"Energy and Environmental Policy Trends: Will Electric Vehicle Rebates Spur Widespread Adoption?","year":2019,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spur; Electric vehicle; Energy (signal processing); Business; Natural resource economics; Economics; Engineering; Physics","score_opus":0.005889705790459872,"score_gpt":0.2099158307230663,"score_spread":0.20402612493260644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401812300","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07668158,0.006960599,0.00047751094,0.7490251,0.0021874213,0.000027317796,0.0016303306,0.0001064578,0.1629037],"genre_scores_gemma":[0.7491164,0.013534977,0.0012729798,0.17814855,0.0025898053,0.00005249512,0.0009288912,0.00009190574,0.05426388],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99831474,0.00026642394,0.000073528725,0.00026186902,0.00061709096,0.00046637657],"domain_scores_gemma":[0.99439466,0.0015275632,0.0011490935,0.00017198268,0.0019136688,0.00084287993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027475632,0.00017582905,0.00023172022,0.00087474147,0.0010462592,0.004203449,0.00070862327,0.0044437004,0.021823522],"category_scores_gemma":[0.009599088,0.00017153473,0.00036836448,0.0015394138,0.0015037296,0.005246792,0.00092343835,0.0035184114,0.0025199675],"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":[0.00019713452,0.0005952967,0.04785604,0.0005513899,0.000048557187,0.00039304723,0.0010164487,0.00078994746,0.001367375,0.22022416,0.525,0.20196067],"study_design_scores_gemma":[0.00005499806,0.00021191765,0.1958838,0.000703502,0.000026389765,0.00019520722,0.006486764,0.00092136447,0.0011151615,0.02975924,0.76457816,0.000063487925],"about_ca_topic_score_codex":0.028668059,"about_ca_topic_score_gemma":0.060004048,"teacher_disagreement_score":0.028668059,"about_ca_system_score_codex":0.004342069,"about_ca_system_score_gemma":0.006044906,"threshold_uncertainty_score":0.07300699},"labels":[],"label_agreement":null},{"id":"W4401918129","doi":"10.18280/jesa.570420","title":"Techno-Economic Analysis of Solar-Wind Powered EV Charging Stations at Train Station Parking Lots","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Solar powered; Meteorology; Automotive engineering; Engineering; Solar energy; Electrical engineering; Geography","score_opus":0.009242761008286285,"score_gpt":0.23242047895547918,"score_spread":0.2231777179471929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401918129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551521,0.0003661838,0.019298652,0.00060053566,0.000060434137,0.00010392914,0.00097168185,0.0000726809,0.023373803],"genre_scores_gemma":[0.997297,0.00006025627,0.0003703522,0.000008355505,0.0000069605503,0.000011391882,0.00013271577,0.000007740302,0.0021052225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949086,0.0002050321,0.000016834008,0.000050618593,0.00010859824,0.00012813316],"domain_scores_gemma":[0.99840087,0.0011471347,0.000109267035,0.000046141962,0.00019526067,0.0001012602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009935772,0.00038763703,0.00050438807,0.0010580054,0.0005463077,0.0020912495,0.0010433259,0.0009737998,0.007690023],"category_scores_gemma":[0.0026899471,0.0005491103,0.0011728085,0.0014632243,0.0006338336,0.0014519887,0.00055135816,0.0008245242,0.00034251134],"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":[0.0002657735,0.0000910526,0.008081921,0.000047076963,0.0000662708,0.00028768554,0.000031870364,0.97838664,0.001044568,0.008049853,0.0005334775,0.0031138058],"study_design_scores_gemma":[0.000018035937,0.00007472873,0.0108705815,0.000007984576,0.000049387632,0.00003761698,0.00015451935,0.98599523,0.00038088922,0.002024605,0.00036983367,0.000016597507],"about_ca_topic_score_codex":0.021098156,"about_ca_topic_score_gemma":0.022421522,"teacher_disagreement_score":0.021098156,"about_ca_system_score_codex":0.0027035447,"about_ca_system_score_gemma":0.0011013802,"threshold_uncertainty_score":0.041950703},"labels":[],"label_agreement":null},{"id":"W4402014247","doi":"10.1016/j.tra.2024.104217","title":"Assessing the effectiveness of financial incentives on electric vehicle adoption in Europe: Multi-period difference-in-difference approach","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incentive; Difference in differences; Period (music); Finance; Business; Electric vehicle; Transport engineering; Economics; Engineering; Econometrics; Market economy; Physics","score_opus":0.05351496166888622,"score_gpt":0.3769896357165605,"score_spread":0.3234746740476743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402014247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98599315,0.0010137723,0.008344943,0.00034648468,0.00012295292,0.00009878377,0.0026573744,0.00003961087,0.001382937],"genre_scores_gemma":[0.992959,0.00026549702,0.0025625334,0.000098547775,0.00005096138,0.00012859624,0.003130873,0.000008225337,0.00079581916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994487,0.0032909582,0.00045796655,0.0008907392,0.00035336032,0.00051998417],"domain_scores_gemma":[0.9738651,0.020833898,0.003293947,0.0008637429,0.00068481837,0.0004584496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009349503,0.000635282,0.0011689194,0.0016508721,0.00040611852,0.001613509,0.0012018078,0.0015160771,0.002948622],"category_scores_gemma":[0.015681377,0.0003319865,0.004519994,0.0021303867,0.00072455883,0.0012202952,0.0016230621,0.0016944767,0.00030211185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018166344,0.0009553943,0.8718425,0.00055491313,0.006273037,0.00069186266,0.00038977573,0.08620659,0.0006334917,0.005876689,0.0020229344,0.0227362],"study_design_scores_gemma":[0.0002213091,0.002454322,0.747233,0.00022061793,0.0027464896,0.00028115846,0.0021717737,0.23176669,0.0025336281,0.0037205887,0.0064784954,0.0001719433],"about_ca_topic_score_codex":0.01548957,"about_ca_topic_score_gemma":0.005529262,"teacher_disagreement_score":0.01548957,"about_ca_system_score_codex":0.0010016976,"about_ca_system_score_gemma":0.0008837613,"threshold_uncertainty_score":0.04944551},"labels":[],"label_agreement":null},{"id":"W4402039970","doi":"10.1109/jiot.2024.3446863","title":"Optimizing Electric Vehicle Charging Through an Artificial Intelligence Mechanism for Smart Transportation","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mechanism (biology); Electric vehicle; Intelligent transportation system; Transport engineering; Engineering","score_opus":0.017453230168722564,"score_gpt":0.25015163650616407,"score_spread":0.2326984063374415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402039970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04291774,0.00022655292,0.94880337,0.00033772644,0.000050471066,0.00004325067,0.000028813329,0.00021926935,0.007372724],"genre_scores_gemma":[0.9442101,0.00019324917,0.052993823,0.00008519575,0.000024749508,0.00004939836,0.00003319436,0.000021367747,0.002388988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997009,0.00008104652,0.000015709382,0.000056776942,0.000095000185,0.000050573544],"domain_scores_gemma":[0.9996979,0.00012511271,0.000055310316,0.00003626139,0.00007150292,0.000013963328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067533966,0.00036797873,0.00047115667,0.00030092316,0.00035031285,0.00095967145,0.0007781765,0.00069830957,0.0015169284],"category_scores_gemma":[0.001580821,0.00023054583,0.00046760944,0.00047139678,0.0004654916,0.0013497357,0.00067117193,0.0006715495,0.00020288768],"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":[0.000035542336,0.00006771516,0.0006729032,0.000025493304,0.000030289755,0.00003470397,0.000024929886,0.9354779,0.0027878429,0.020902833,0.0005541119,0.039385743],"study_design_scores_gemma":[0.0000026990247,0.000018978144,0.00008537531,0.000002207239,0.0000047531134,0.000008883789,0.0000070057863,0.993887,0.0005484016,0.0050180457,0.00041365475,0.00000303102],"about_ca_topic_score_codex":0.0015271781,"about_ca_topic_score_gemma":0.0014820336,"teacher_disagreement_score":0.0015271781,"about_ca_system_score_codex":0.000624809,"about_ca_system_score_gemma":0.00075264135,"threshold_uncertainty_score":0.00507468},"labels":[],"label_agreement":null},{"id":"W4402080016","doi":"10.1109/cpem61406.2024.10646063","title":"Metrology Framework for Electric Vehicle Charging Stations in Canada","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metrology; Electric vehicle; Computer science; Automotive engineering; Environmental science; Electrical engineering; Systems engineering; Engineering; Physics; Optics","score_opus":0.0047768779410053384,"score_gpt":0.20823368939975392,"score_spread":0.20345681145874858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402080016","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030898858,0.0017743754,0.73519325,0.0058907173,0.00037871522,0.0017911204,0.008380314,0.004732002,0.21096061],"genre_scores_gemma":[0.3612885,0.001579008,0.56737036,0.00076287205,0.000116288764,0.0006804947,0.0071023013,0.0004768389,0.060623355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99394387,0.0005891643,0.00026010806,0.0006882096,0.003659876,0.00085887464],"domain_scores_gemma":[0.99620277,0.00017703563,0.00014422738,0.0002908027,0.0029525587,0.00023264969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004958731,0.0009873727,0.0008641342,0.0036585634,0.004230625,0.008148353,0.005095096,0.0017780861,0.0072097913],"category_scores_gemma":[0.0048105996,0.0006916925,0.001215836,0.0043564714,0.001929797,0.0025352368,0.002969328,0.0019132684,0.0019060567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068570465,0.000080264,0.002742263,0.00013775012,0.000053792428,0.00033818875,0.0005096531,0.09568121,0.0026641886,0.8209176,0.02227472,0.05453181],"study_design_scores_gemma":[0.000059764076,0.00006901908,0.00524016,0.00031821922,0.00005086431,0.00024228542,0.0013680311,0.43458554,0.0052161375,0.08029936,0.4723493,0.00020130293],"about_ca_topic_score_codex":0.9259265,"about_ca_topic_score_gemma":0.9168013,"teacher_disagreement_score":0.07407349,"about_ca_system_score_codex":0.05473492,"about_ca_system_score_gemma":0.09200712,"threshold_uncertainty_score":0.39713144},"labels":[],"label_agreement":null},{"id":"W4402096267","doi":"10.1007/978-3-031-68675-7_33","title":"A Geo-AI Approach for Electric Vehicle Charging Infrastructure Allocation: Case Studies from Marrakech-Safi Region, Morocco, and Andalucia Region, Spain","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Geography; Cartography","score_opus":0.012291600339494887,"score_gpt":0.21437819088556856,"score_spread":0.20208659054607367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402096267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8994814,0.002501678,0.024506895,0.0009015815,0.00008583687,0.00020450173,0.0013440432,0.00019506307,0.07077897],"genre_scores_gemma":[0.9871141,0.0005495387,0.007073674,0.000028693303,0.000010460255,0.000032528565,0.00025444396,0.00001711048,0.0049194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995907,0.00020857349,0.000011218753,0.000033417396,0.00006471913,0.00009142261],"domain_scores_gemma":[0.99966073,0.00020136505,0.000027560045,0.000018583223,0.000069058755,0.00002262332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007555147,0.00045972026,0.00033534341,0.0011837499,0.00058516616,0.0012619963,0.0006917571,0.00049822,0.002384871],"category_scores_gemma":[0.0009889454,0.00013042771,0.00040661613,0.002368607,0.00036121882,0.0004034052,0.00057729776,0.00022425252,0.00016690674],"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":[0.0005337448,0.00032436935,0.049489934,0.0005783444,0.00022603862,0.0045824056,0.0012695008,0.7464279,0.0032789744,0.032772817,0.008720564,0.15179543],"study_design_scores_gemma":[0.00023670352,0.0004289161,0.12116426,0.00024032377,0.00034866208,0.0015362623,0.017263588,0.7787565,0.0043471055,0.01813695,0.057432342,0.00010834835],"about_ca_topic_score_codex":0.13241316,"about_ca_topic_score_gemma":0.16977073,"teacher_disagreement_score":0.13241316,"about_ca_system_score_codex":0.0046004993,"about_ca_system_score_gemma":0.0013037683,"threshold_uncertainty_score":0.26328486},"labels":[],"label_agreement":null},{"id":"W4402119872","doi":"10.1088/2634-4505/ad763f","title":"Plug-in charging or electric roads? Powering U.S. long-haul heavy-duty trucks in 2050","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Truck; Heavy duty; Automotive engineering; Environmental science; Plug-in; Electric cars; Transport engineering; Aeronautics; Engineering; Electrical engineering; Computer science","score_opus":0.006855543010833948,"score_gpt":0.27005975467274324,"score_spread":0.26320421166190927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402119872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90303177,0.0009065098,0.031988334,0.0035214107,0.00020629539,0.0001331039,0.0032494816,0.00027348625,0.056689523],"genre_scores_gemma":[0.9910018,0.00030406227,0.0010994046,0.00009747345,0.000009296499,0.000022961749,0.00032872893,0.000018656947,0.0071176193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998166,0.00004274944,0.0000051223483,0.000033913904,0.00002541357,0.00007629297],"domain_scores_gemma":[0.9998006,0.000075034994,0.000032441254,0.000010850304,0.000039566654,0.000041525534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601865,0.0005149539,0.0003675503,0.0002710404,0.00046101835,0.0014500949,0.0010529316,0.0013279838,0.008392667],"category_scores_gemma":[0.000694279,0.00042955,0.00074001844,0.00047393786,0.00060107093,0.0021025003,0.00069535075,0.00086861104,0.0005746125],"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":[0.00017411046,0.00013557785,0.009134337,0.000118869655,0.00004984815,0.000522733,0.000092029935,0.9589992,0.0016159089,0.014425004,0.005160278,0.009572067],"study_design_scores_gemma":[0.000037879126,0.0001937811,0.006718848,0.000056092234,0.000065152206,0.00013522968,0.0009464951,0.9737221,0.000953277,0.008918276,0.008218664,0.000034256565],"about_ca_topic_score_codex":0.068745226,"about_ca_topic_score_gemma":0.088753834,"teacher_disagreement_score":0.068745226,"about_ca_system_score_codex":0.0019681342,"about_ca_system_score_gemma":0.0010049931,"threshold_uncertainty_score":0.13669014},"labels":[],"label_agreement":null},{"id":"W4402122292","doi":"10.3386/w32886","title":"Electric Vehicles and the Energy Transition: Unintended Consequences of a Common Retail Rate Design","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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":"Canada First Research Excellence Fund; University of Alberta; University of Calgary","keywords":"Unintended consequences; Transition (genetics); Business; Electric vehicle; Energy (signal processing); Chemistry; Political science; Physics","score_opus":0.1336959928599563,"score_gpt":0.3788298677488856,"score_spread":0.24513387488892932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402122292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644551,0.000074108706,0.017459719,0.00087006646,0.000077119825,0.00015077916,0.00018242543,0.00019651496,0.016534124],"genre_scores_gemma":[0.9967062,0.000025082825,0.0018132525,0.00014620926,0.000006140805,0.000044716424,0.000039716993,0.000017341637,0.0012013451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9967843,0.0015520648,0.00016243441,0.0004255617,0.000723558,0.00035212724],"domain_scores_gemma":[0.9812245,0.012004607,0.0020474815,0.0032507293,0.0010447518,0.00042791176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003337654,0.00028302532,0.00046764957,0.00029271544,0.000522248,0.0018100827,0.00086259056,0.0011690352,0.0057393494],"category_scores_gemma":[0.020507047,0.00031088485,0.0004261392,0.0003757055,0.0013351116,0.0018720494,0.0011175941,0.0015461295,0.00048190623],"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":[0.015810898,0.009721474,0.21952583,0.00041913567,0.00041729127,0.0016381432,0.002274354,0.30442104,0.03044922,0.20611422,0.009983052,0.1992253],"study_design_scores_gemma":[0.0019503445,0.012045932,0.12554495,0.00018226446,0.0005213473,0.0016729874,0.005227276,0.5902107,0.059813503,0.18081805,0.021710493,0.00030217497],"about_ca_topic_score_codex":0.0018359831,"about_ca_topic_score_gemma":0.0019505129,"teacher_disagreement_score":0.0057393494,"about_ca_system_score_codex":0.0009615852,"about_ca_system_score_gemma":0.0008227121,"threshold_uncertainty_score":0.019200087},"labels":[],"label_agreement":null},{"id":"W4402172030","doi":"10.2139/ssrn.4943664","title":"Electric Vehicles and the Energy Transition: Unintended Consequences of a Common Retail Rate Design","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Unintended consequences; Transition (genetics); Business; Electric vehicle; Industrial organization; Automotive engineering; Engineering; Chemistry; Political science; Physics","score_opus":0.0066194849024753515,"score_gpt":0.19186382368020072,"score_spread":0.18524433877772536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402172030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68950105,0.0014677607,0.062893376,0.037312888,0.0010606492,0.00014586965,0.00051241217,0.00041478933,0.20669124],"genre_scores_gemma":[0.98715067,0.0002258005,0.0020089215,0.0012685674,0.00008306253,0.000019878395,0.000034128287,0.000039648367,0.009169277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99628675,0.0012108432,0.00022045858,0.0005945811,0.0011375601,0.00054985],"domain_scores_gemma":[0.9778165,0.012500917,0.0027150754,0.004001761,0.002406674,0.0005590326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044208914,0.00026443822,0.00042984515,0.00070690125,0.0014168533,0.0047575724,0.0014916181,0.0043139937,0.013652232],"category_scores_gemma":[0.028954005,0.00044483683,0.0006470618,0.00063027616,0.0035441923,0.0031234107,0.0023944483,0.0043427097,0.0013857946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010927168,0.0006636612,0.053305577,0.00010183128,0.000112897476,0.0017744893,0.0027282774,0.01880715,0.00292148,0.83825356,0.010647719,0.06959061],"study_design_scores_gemma":[0.00024180788,0.0007202309,0.06138988,0.00040062025,0.00037858842,0.0029101237,0.008891519,0.054678593,0.009700819,0.7988571,0.061493177,0.00033756846],"about_ca_topic_score_codex":0.005324687,"about_ca_topic_score_gemma":0.0057223896,"teacher_disagreement_score":0.013652232,"about_ca_system_score_codex":0.0016389021,"about_ca_system_score_gemma":0.0013452409,"threshold_uncertainty_score":0.045671284},"labels":[],"label_agreement":null},{"id":"W4402265110","doi":"10.1109/tqcebt59414.2024.10545284","title":"Impact of Electric Vehicle Adoption on Urban Air Quality: A Simulation Study","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Air quality index; Quality (philosophy); Electric vehicle; Automotive engineering; Computer science; Environmental science; Engineering; Meteorology; Power (physics); Geography","score_opus":0.012620013448233366,"score_gpt":0.29172740789309576,"score_spread":0.2791073944448624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402265110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192566,0.000066423214,0.0024394675,0.000194567,0.00001934763,0.00004985836,0.000613746,0.000036403166,0.004654387],"genre_scores_gemma":[0.9970101,0.00008748996,0.0015604867,0.000031003972,0.000005429928,0.00004328202,0.0003666637,0.0000067562505,0.0008886265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996855,0.0001168668,0.000017164495,0.00005120688,0.000036793033,0.000092459304],"domain_scores_gemma":[0.9982576,0.0011884444,0.00014893991,0.00009068802,0.00019970775,0.000114665556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373221,0.0007295329,0.00065273937,0.0006504628,0.0005973703,0.001085221,0.0008812345,0.0018351008,0.0023921384],"category_scores_gemma":[0.0017637685,0.00029490396,0.0014132162,0.0010084382,0.00061264425,0.0008481749,0.00090336247,0.0012134324,0.00017520247],"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":[0.00015529392,0.0004915694,0.013586092,0.000033181557,0.00005165474,0.00016032819,0.000058886402,0.98169345,0.0005829996,0.0013112688,0.0002922285,0.0015830412],"study_design_scores_gemma":[0.00006987434,0.00026423667,0.0050560376,0.000011339305,0.00003945653,0.000023079958,0.00027597224,0.99277097,0.0004967306,0.000496491,0.00047533264,0.000020521908],"about_ca_topic_score_codex":0.052586507,"about_ca_topic_score_gemma":0.039045602,"teacher_disagreement_score":0.052586507,"about_ca_system_score_codex":0.0014127507,"about_ca_system_score_gemma":0.0014041167,"threshold_uncertainty_score":0.10456079},"labels":[],"label_agreement":null},{"id":"W4402350735","doi":"10.1109/tits.2024.3451498","title":"A Social Welfare Theory-Inspired Lexicographic Optimal Charging Scheduling Framework for Modular EV Fast Charging Stations","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"C-Com Satellite Systems (Canada)","funders":"","keywords":"Lexicographical order; Modular design; Scheduling (production processes); Computer science; Mathematical optimization; Mathematics; Operating system","score_opus":0.016473781960472472,"score_gpt":0.2573550633156741,"score_spread":0.24088128135520162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402350735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071701296,0.00018124249,0.9873175,0.0002307687,0.00004301029,0.000056935325,0.000105151514,0.00012347601,0.004771878],"genre_scores_gemma":[0.64113915,0.0007309434,0.34642518,0.0002654466,0.00009988911,0.00042541607,0.00049767,0.0002537019,0.010162643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931705,0.00027376047,0.000024377163,0.00009900264,0.00016864944,0.00011712583],"domain_scores_gemma":[0.99930036,0.00038206045,0.000077366174,0.000043493208,0.00012938998,0.00006735293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012055391,0.0011002712,0.0010055131,0.00068750186,0.00052540225,0.0015802198,0.0013596546,0.0010638767,0.0049053174],"category_scores_gemma":[0.0021127367,0.00053737726,0.0011155333,0.0008613343,0.00095500064,0.0012235006,0.0013686514,0.0012974623,0.00057097053],"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":[0.000034026227,0.000035522226,0.00027756026,0.00006517854,0.000018754383,0.00006028875,0.000050935574,0.9420416,0.0006328579,0.039717875,0.0014604147,0.015605019],"study_design_scores_gemma":[0.000006470896,0.000017272567,0.00004635352,0.0000071038467,0.0000044361564,0.000008706696,0.000019360192,0.9862251,0.00012655555,0.012698789,0.00083512015,0.0000046426676],"about_ca_topic_score_codex":0.006100401,"about_ca_topic_score_gemma":0.0057026,"teacher_disagreement_score":0.006100401,"about_ca_system_score_codex":0.0018653913,"about_ca_system_score_gemma":0.0023738716,"threshold_uncertainty_score":0.016409934},"labels":[],"label_agreement":null},{"id":"W4402354698","doi":"10.1038/s41598-024-71064-4","title":"Comprehensive decision-making considerations in the transition to electrification transportation system in a developing country","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrification; Developing country; Computer science; Transition (genetics); Business; Data science; Economic growth; Engineering; Economics; Biology; Electricity","score_opus":0.008188063058899941,"score_gpt":0.23728594552799737,"score_spread":0.22909788246909743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402354698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78540695,0.0035146042,0.11837939,0.008400045,0.00013819277,0.0008766631,0.0006438876,0.000099344004,0.0825409],"genre_scores_gemma":[0.9877965,0.0009790213,0.009896463,0.00010517945,0.000015275093,0.00007230208,0.00008011389,0.0000042554393,0.0010508324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859375,0.0009085078,0.00004943552,0.000073303556,0.00015663331,0.00021831245],"domain_scores_gemma":[0.9989536,0.0006288576,0.00009204229,0.000023031365,0.00016468244,0.00013774977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024824503,0.00053270586,0.00046383598,0.0011012711,0.0013331986,0.003848826,0.0005488482,0.001060799,0.0024508832],"category_scores_gemma":[0.0025094026,0.00033432132,0.00069840543,0.0011902314,0.0011788461,0.0016284566,0.0012574357,0.0011466324,0.000085773456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026177778,0.00025295856,0.008207891,0.0003383183,0.00016659091,0.0029057006,0.00097492035,0.8155109,0.0025800786,0.111938916,0.0035020618,0.05335981],"study_design_scores_gemma":[0.000115661365,0.00072587904,0.016408442,0.00063102646,0.00025701913,0.0007157875,0.020817917,0.7677747,0.0023958397,0.16606659,0.023916684,0.00017439698],"about_ca_topic_score_codex":0.008805205,"about_ca_topic_score_gemma":0.014895346,"teacher_disagreement_score":0.008805205,"about_ca_system_score_codex":0.0031879111,"about_ca_system_score_gemma":0.005892038,"threshold_uncertainty_score":0.02313},"labels":[],"label_agreement":null},{"id":"W4402414395","doi":"10.2139/ssrn.4952278","title":"Machine Learning Model of Electric Vehicle Charging for National-Level Solar Photovoltaic Planning","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Electric vehicle; Rooftop photovoltaic power station; Computer science; Automotive engineering; Engineering; Electrical engineering; Physics; Voltage; Power (physics); Maximum power point tracking","score_opus":0.016551642487904843,"score_gpt":0.24012210556525085,"score_spread":0.22357046307734602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402414395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2238373,0.0012310729,0.73111975,0.0045973305,0.00023750006,0.00016384527,0.0023008508,0.0007881019,0.03572427],"genre_scores_gemma":[0.96817434,0.0002394849,0.009319053,0.0001411322,0.00007292671,0.00011413799,0.0005407383,0.00004332871,0.02135487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959415,0.00013520881,0.000016080157,0.00010903018,0.000054134634,0.0000914777],"domain_scores_gemma":[0.998722,0.00088161824,0.00009567352,0.000040948235,0.00020195235,0.000057727433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011895377,0.00056796416,0.0012806564,0.00060372805,0.00041400065,0.0013546131,0.002013288,0.001981551,0.01244054],"category_scores_gemma":[0.0033786574,0.0006038006,0.00076425925,0.000847945,0.00070341316,0.001160979,0.00077898666,0.001821979,0.0010980337],"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":[0.000019293471,0.000012299212,0.00030358523,0.000010740749,0.000007838288,0.000022469809,0.0000085152815,0.99409395,0.00004889637,0.0029765174,0.00036036447,0.0021355397],"study_design_scores_gemma":[0.0000031800269,0.0000034727248,0.00007001479,0.0000019266256,0.000002030564,0.0000032586725,0.00000274993,0.9986505,0.000017669538,0.0011720861,0.00007166113,0.0000015621644],"about_ca_topic_score_codex":0.03466561,"about_ca_topic_score_gemma":0.021618742,"teacher_disagreement_score":0.03466561,"about_ca_system_score_codex":0.0020880676,"about_ca_system_score_gemma":0.0015501863,"threshold_uncertainty_score":0.068927705},"labels":[],"label_agreement":null},{"id":"W4402464072","doi":"10.11159/eee24.119","title":"The Solar Boost: Pushing Hybrid Car Limits With Photovoltaic Energy","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Solar energy; Rooftop photovoltaic power station; Solar cable; Automotive engineering; Photovoltaic mounting system; Computer science; Photovoltaic thermal hybrid solar collector; Aerospace engineering; Electrical engineering; Solar mirror; Maximum power point tracking; Engineering; Voltage","score_opus":0.0031055305668395896,"score_gpt":0.16552438891471388,"score_spread":0.16241885834787428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402464072","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21834137,0.02250069,0.21654029,0.010113012,0.0014412628,0.00015664981,0.0005645743,0.0036746697,0.5266675],"genre_scores_gemma":[0.9341556,0.0068434505,0.0194894,0.0010484302,0.00021407372,0.0000872683,0.0002337241,0.0002462355,0.037681907],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996433,0.000044863038,0.000005623231,0.000045681616,0.00019660323,0.00006384678],"domain_scores_gemma":[0.9998029,0.000059968454,0.00000904841,0.000026221624,0.000079788646,0.000022104754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004265184,0.00042057942,0.00048872444,0.0004064824,0.00064571295,0.0022778215,0.001174815,0.001099167,0.012846672],"category_scores_gemma":[0.00071905967,0.00023253581,0.00036412684,0.0003938903,0.0005712893,0.002934285,0.0020269821,0.0009099624,0.003102896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006255805,0.00040517902,0.004848935,0.001228368,0.00015536789,0.0010659338,0.00093016477,0.065558575,0.11608046,0.14768834,0.039909676,0.62150335],"study_design_scores_gemma":[0.000119148666,0.00092235033,0.0041376953,0.00046023124,0.00015652152,0.0012997306,0.002447881,0.14636824,0.11079579,0.13293448,0.60016894,0.00018900167],"about_ca_topic_score_codex":0.0016070993,"about_ca_topic_score_gemma":0.0031764808,"teacher_disagreement_score":0.012846672,"about_ca_system_score_codex":0.00049023126,"about_ca_system_score_gemma":0.00047764988,"threshold_uncertainty_score":0.04297644},"labels":[],"label_agreement":null},{"id":"W4402473602","doi":"10.1109/ccece59415.2024.10667085","title":"Assessment of the Secondary Service Power System Impacts of Increasing Electrification of Vehicles and Heating in the Yukon","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Yukon University","funders":"","keywords":"Electrification; Service (business); Electric power system; Environmental science; Power (physics); Computer science; Business; Electrical engineering; Engineering; Electricity; Physics","score_opus":0.0037723856210756246,"score_gpt":0.21537011842019985,"score_spread":0.21159773279912422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402473602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999169,0.0000073186648,0.00020938934,0.000015422484,5.688343e-7,0.000004832888,0.000095501695,0.0000060320313,0.00049195846],"genre_scores_gemma":[0.99978215,0.000006425648,0.00005365285,0.000002743006,2.1893763e-7,0.0000012581054,0.0000620103,9.617835e-7,0.00009063851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997818,0.00006288332,0.000014882069,0.00003143781,0.000045329198,0.00006369888],"domain_scores_gemma":[0.9994092,0.00016836752,0.000105931555,0.00004057487,0.00022097368,0.000055006905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002831395,0.00016074955,0.00018649995,0.00032782363,0.00021319246,0.00054199924,0.0002841536,0.0002686836,0.0007199857],"category_scores_gemma":[0.00090724573,0.00013400013,0.00023422691,0.0005995579,0.00032817008,0.00046034277,0.00039941122,0.00025288376,0.000073491545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007331291,0.00018289324,0.8697067,0.000117824224,0.000173416,0.0014107701,0.0007707072,0.090846464,0.011492104,0.0025477146,0.00055999553,0.021458345],"study_design_scores_gemma":[0.00001320017,0.00024470474,0.93582845,0.0000069083685,0.000039032042,0.0001514349,0.0019259886,0.059152994,0.0016531589,0.00039454136,0.0005798053,0.0000098600585],"about_ca_topic_score_codex":0.17498542,"about_ca_topic_score_gemma":0.17887445,"teacher_disagreement_score":0.8250146,"about_ca_system_score_codex":0.0018894442,"about_ca_system_score_gemma":0.0010008767,"threshold_uncertainty_score":0.34793377},"labels":[],"label_agreement":null},{"id":"W4402473625","doi":"10.1109/ccece59415.2024.10667214","title":"A Region-Wide Cost-Benefit Assessment of Residential V2G Participation in Demand Response","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 New Brunswick; York University","funders":"","keywords":"Demand response; Computer science; Engineering; Electrical engineering","score_opus":0.009737641939160078,"score_gpt":0.2802677068455589,"score_spread":0.2705300649063988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402473625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84114283,0.00061498216,0.115383476,0.0008098271,0.000047081972,0.00052253145,0.0017864234,0.00018852753,0.039504305],"genre_scores_gemma":[0.99262446,0.000110615234,0.0047694263,0.00002815124,0.0000062008257,0.00006760645,0.00016603872,0.000014041585,0.002213539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99866414,0.0007698792,0.000024322724,0.00015816392,0.00016853829,0.00021493991],"domain_scores_gemma":[0.9982942,0.0009950257,0.0001764553,0.00012042608,0.00031584039,0.00009800006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019892324,0.00074165076,0.0006586635,0.00074352784,0.0003866433,0.0014685834,0.0016558039,0.0013309903,0.004955704],"category_scores_gemma":[0.0036255384,0.00035590873,0.0010440885,0.0012298538,0.0005759356,0.0016491485,0.0010693673,0.0008588429,0.0003555547],"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":[0.0003436007,0.00016774579,0.005383674,0.0000619113,0.00006216191,0.0001502084,0.00005471485,0.97243124,0.0012388886,0.011881773,0.0006182675,0.0076058432],"study_design_scores_gemma":[0.000034590197,0.0005314803,0.0053987666,0.000019031804,0.00010917801,0.00012723949,0.00032030133,0.9871732,0.0009459045,0.0035346665,0.0017762083,0.000029297447],"about_ca_topic_score_codex":0.0139098205,"about_ca_topic_score_gemma":0.011181273,"teacher_disagreement_score":0.0139098205,"about_ca_system_score_codex":0.002850163,"about_ca_system_score_gemma":0.0014487347,"threshold_uncertainty_score":0.027657688},"labels":[],"label_agreement":null},{"id":"W4402474210","doi":"10.1109/ccece59415.2024.10667099","title":"Impact of the Electrification of Vehicles and Integration of Solar Photovoltaic Systems on Low-voltage Distribution Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Photovoltaic system; Electrification; Rooftop photovoltaic power station; Voltage; Low voltage; Electrical engineering; Photovoltaics; Automotive engineering; Computer science; Environmental science; Engineering physics; Engineering; Electricity; Maximum power point tracking","score_opus":0.004127933124516191,"score_gpt":0.20473152158610533,"score_spread":0.20060358846158913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98441374,0.00014567515,0.0057442742,0.000094004194,0.000014273763,0.000023194425,0.00019190795,0.00006411422,0.009308751],"genre_scores_gemma":[0.9982697,0.00010565307,0.00084739446,0.000011931273,0.0000025168179,0.000003917742,0.00008044579,0.000010317014,0.0006681397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957246,0.00016649079,0.000012159979,0.00003712308,0.00013923236,0.00007261253],"domain_scores_gemma":[0.9986594,0.0008769907,0.00013977353,0.00007344007,0.00019680703,0.000053597607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041210026,0.0005137985,0.00023209148,0.00035439056,0.00034498048,0.00091476575,0.0003769653,0.00040557917,0.0018611666],"category_scores_gemma":[0.0015796617,0.00017864378,0.00028489716,0.00050418,0.00037983438,0.0008979668,0.00039894262,0.0005037676,0.00018644056],"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":[0.00021153665,0.000111673726,0.014379965,0.000059890812,0.00005045602,0.00046090878,0.000043382588,0.956788,0.0073799756,0.0020452596,0.00034095562,0.018128078],"study_design_scores_gemma":[0.00005469911,0.00079884636,0.04999806,0.0000501431,0.00011715609,0.0003634714,0.00046723936,0.9173729,0.024045644,0.0033409551,0.0033534905,0.000037310125],"about_ca_topic_score_codex":0.008394489,"about_ca_topic_score_gemma":0.011762313,"teacher_disagreement_score":0.008394489,"about_ca_system_score_codex":0.0010696546,"about_ca_system_score_gemma":0.0003794833,"threshold_uncertainty_score":0.016691208},"labels":[],"label_agreement":null},{"id":"W4402475398","doi":"10.1109/ccece59415.2024.10667251","title":"Efficient Routing and Charging Strategy for Electric Vehicles Considering Battery Life: A Reinforcement Learning Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University; Wilfrid Laurier University","funders":"","keywords":"Reinforcement learning; Battery (electricity); Computer science; Routing (electronic design automation); Artificial intelligence; Computer network; Power (physics)","score_opus":0.012080915140115904,"score_gpt":0.21215912808633663,"score_spread":0.20007821294622072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402475398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053955782,0.00033935806,0.93987554,0.0005950503,0.00005258544,0.000070668655,0.0000373781,0.00015419167,0.0049193916],"genre_scores_gemma":[0.9503616,0.00020678078,0.046397537,0.00013881293,0.0000444044,0.000096784584,0.000040666597,0.00002797638,0.0026853024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997075,0.00012144927,0.000011624528,0.00005819319,0.000047091376,0.00005411156],"domain_scores_gemma":[0.9982822,0.001185513,0.0001881644,0.000041024225,0.0002051763,0.00009797935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011254348,0.00073483336,0.0010064628,0.0004755394,0.00035438733,0.00068239524,0.0011626785,0.0010023582,0.0018179027],"category_scores_gemma":[0.0032551824,0.00037463932,0.0004397465,0.00035797938,0.0008511405,0.0007054035,0.0006736311,0.0010011919,0.00016900997],"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":[0.000014322745,0.000021600481,0.00028587034,0.000012852093,0.000009286442,0.000025494584,0.00001458034,0.9920449,0.00020319884,0.002333907,0.00015634822,0.004877763],"study_design_scores_gemma":[0.000002459213,0.000007611936,0.000022962897,0.0000014124873,0.0000019330382,0.0000025826068,0.0000030628873,0.9990633,0.000026581774,0.0008207413,0.00004622717,0.0000011359487],"about_ca_topic_score_codex":0.007067285,"about_ca_topic_score_gemma":0.0052371076,"teacher_disagreement_score":0.007067285,"about_ca_system_score_codex":0.00109035,"about_ca_system_score_gemma":0.0011933453,"threshold_uncertainty_score":0.014052331},"labels":[],"label_agreement":null},{"id":"W4402501821","doi":"10.11159/icceia24.104","title":"A Framework for an Optimization Process to Locate Electric Vehicle Charging Stations","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American University of Sharjah","keywords":"Process (computing); Computer science; Electric vehicle; Automotive engineering; Environmental science; Engineering; Operating system","score_opus":0.014102102298155299,"score_gpt":0.2599204133630113,"score_spread":0.245818311064856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402501821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048785936,0.00003171236,0.99821043,0.000080468635,0.00001680725,0.000027769913,0.000024601772,0.00007367146,0.0010466533],"genre_scores_gemma":[0.11145754,0.00030143268,0.88178635,0.00009496976,0.000112848444,0.00036462818,0.0002831571,0.00018461724,0.0054144943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981495,0.0006214533,0.00011058141,0.00040653866,0.00050069747,0.00021131526],"domain_scores_gemma":[0.99809855,0.0011499486,0.000120831195,0.00013795565,0.00039837294,0.00009426115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032442329,0.0016094092,0.0018724503,0.0015214368,0.0014547304,0.0033420762,0.003924456,0.0030771159,0.008508567],"category_scores_gemma":[0.0080948025,0.0011884696,0.0022722292,0.0020479409,0.0016716525,0.0033577734,0.0033354165,0.0028914476,0.0015158945],"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":[0.000035753535,0.00006931037,0.00020533947,0.000095434,0.000033962944,0.00014256914,0.0001088181,0.756738,0.00093706074,0.21056853,0.0022695058,0.028795665],"study_design_scores_gemma":[0.0000105952695,0.000014718775,0.000025108999,0.000010850036,0.000006952657,0.000014669896,0.000014453276,0.96232367,0.00021018837,0.03578732,0.001573868,0.000007650147],"about_ca_topic_score_codex":0.013795027,"about_ca_topic_score_gemma":0.009570046,"teacher_disagreement_score":0.013795027,"about_ca_system_score_codex":0.0019173494,"about_ca_system_score_gemma":0.0032281762,"threshold_uncertainty_score":0.02846396},"labels":[],"label_agreement":null},{"id":"W4402563709","doi":"10.1016/j.cles.2024.100146","title":"Optimization of a proposed biomass generator: Harnessing citizen waste with electric vehicle charging infrastructure","year":2024,"lang":"en","type":"article","venue":"Cleaner Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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":"Electric vehicle; Generator (circuit theory); Biomass (ecology); Automotive engineering; Waste management; Environmental science; Business; Engineering; Power (physics); Biology; Physics","score_opus":0.003589530789872035,"score_gpt":0.1728738485795109,"score_spread":0.16928431778963887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402563709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61736834,0.0003556556,0.32996172,0.0005729761,0.000077300596,0.00055402523,0.0003677688,0.0005393261,0.050203044],"genre_scores_gemma":[0.9838426,0.00007641032,0.011173627,0.000017826173,0.0000031419936,0.00007863438,0.000049127633,0.000013574106,0.0047449977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.000039650375,0.000004610976,0.000025774483,0.000033495813,0.000037258953],"domain_scores_gemma":[0.99990296,0.000037725484,0.000015904354,0.00000921298,0.00002171961,0.000012531685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025965512,0.0006710425,0.00047457826,0.00036150182,0.00039994196,0.0012013733,0.0007321021,0.00090875325,0.00412353],"category_scores_gemma":[0.0003433938,0.00030428212,0.00039184897,0.00035094377,0.00028936853,0.0005352739,0.0005227213,0.0003987234,0.0003940114],"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":[0.00024245697,0.00014233463,0.0012838987,0.00015782256,0.000033859447,0.00029922737,0.000025660738,0.95851403,0.015570996,0.002789787,0.00039877088,0.020541213],"study_design_scores_gemma":[0.0000685502,0.00054585066,0.0009901641,0.000013204585,0.000042919924,0.00008687809,0.00008616518,0.9861568,0.008541017,0.0014085368,0.0020434975,0.000016288763],"about_ca_topic_score_codex":0.0023938161,"about_ca_topic_score_gemma":0.004031643,"teacher_disagreement_score":0.00412353,"about_ca_system_score_codex":0.0006736655,"about_ca_system_score_gemma":0.00081261084,"threshold_uncertainty_score":0.013794601},"labels":[],"label_agreement":null},{"id":"W4402595291","doi":"10.1109/blockchain62396.2024.00047","title":"BlockDEV: Blockchain-Based Decentralized Charging Service Provider Selection for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Blockchain; Service provider; Computer science; Selection (genetic algorithm); Service (business); Computer network; Computer security; Business; Artificial intelligence","score_opus":0.006621023723840977,"score_gpt":0.21406847856027542,"score_spread":0.20744745483643445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402595291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19726203,0.0010973826,0.7693801,0.0012670307,0.00032961863,0.00096579344,0.0010358511,0.0078057684,0.02085647],"genre_scores_gemma":[0.9555613,0.00023501342,0.037506428,0.000112258305,0.00002879575,0.00020008392,0.0005383265,0.00005919322,0.0057585575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990458,0.000332852,0.000050430244,0.00014633195,0.0002595252,0.00016517157],"domain_scores_gemma":[0.9984895,0.0004970318,0.00016736146,0.00039010428,0.00022243822,0.00023352288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013611232,0.00044664033,0.00062078075,0.00045943377,0.0008518009,0.00087150355,0.0012378342,0.00070838013,0.0063729603],"category_scores_gemma":[0.0028836739,0.00029245685,0.00030046765,0.0005287774,0.0007022273,0.0018175634,0.0021585566,0.000777139,0.0010915903],"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":[0.0023079836,0.00062135095,0.008534188,0.0004931798,0.00014229024,0.0009599308,0.00047972126,0.5341231,0.029032312,0.07078253,0.021758588,0.33076483],"study_design_scores_gemma":[0.00020549816,0.0001886484,0.00046539708,0.000018656803,0.000014357368,0.00014806305,0.000061151775,0.9667498,0.005428956,0.017741246,0.008950702,0.000027415828],"about_ca_topic_score_codex":0.0043989513,"about_ca_topic_score_gemma":0.0079598185,"teacher_disagreement_score":0.0063729603,"about_ca_system_score_codex":0.00081148423,"about_ca_system_score_gemma":0.0024305868,"threshold_uncertainty_score":0.021319687},"labels":[],"label_agreement":null},{"id":"W4402643460","doi":"10.1016/j.cie.2024.110579","title":"Leveraging online reviews and expert opinions for electric vehicle type prioritization","year":2024,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Prioritization; Computer science; Electric vehicle; Type (biology); Engineering; Operations research; Data science; Management science; Geology; Physics","score_opus":0.03055699451738712,"score_gpt":0.24718500213482825,"score_spread":0.21662800761744114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402643460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3792125,0.02787969,0.395309,0.012578015,0.0053959023,0.005686331,0.035511907,0.004725443,0.13370125],"genre_scores_gemma":[0.7047849,0.00395874,0.25824794,0.0019245652,0.0034122993,0.0011095162,0.014839514,0.00035371882,0.011368799],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9620706,0.016871702,0.003642599,0.0037874475,0.012922605,0.0007051686],"domain_scores_gemma":[0.71149623,0.19994748,0.016619645,0.007595204,0.06182635,0.0025151859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026469866,0.0014226672,0.0016924758,0.022211714,0.0009153416,0.0045340518,0.001657153,0.0018921872,0.00796586],"category_scores_gemma":[0.13496408,0.00056571845,0.0013880685,0.008672578,0.0003443172,0.0051254407,0.0016066257,0.0011616129,0.004769911],"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":[0.00116913,0.001146875,0.056358486,0.004311551,0.0023242554,0.0010485131,0.0014455529,0.00900381,0.009887845,0.0024715276,0.0752674,0.8355651],"study_design_scores_gemma":[0.0008754288,0.0031982835,0.15885127,0.004552295,0.0071825082,0.0022790008,0.00680022,0.5015278,0.03210127,0.043674435,0.2379373,0.0010203018],"about_ca_topic_score_codex":0.0034562522,"about_ca_topic_score_gemma":0.01410893,"teacher_disagreement_score":0.026469866,"about_ca_system_score_codex":0.0008227787,"about_ca_system_score_gemma":0.0030857818,"threshold_uncertainty_score":0.1399877},"labels":[],"label_agreement":null},{"id":"W4402693695","doi":"10.14447/jnmes.v27i2.a01","title":"Impact of Electric Vehicle Charging Station in Distribution System: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Journal of New Materials for Electrochemical Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Automotive engineering; Distribution (mathematics); Computer science; Engineering; Physics; Mathematics; Thermodynamics","score_opus":0.018492156646738887,"score_gpt":0.30309198156043093,"score_spread":0.28459982491369207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402693695","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019720699,0.99912494,0.00006973638,0.000098418175,0.00010424337,0.0000034063,0.000027617134,0.000002722928,0.0003716683],"genre_scores_gemma":[0.0013187275,0.9982015,0.00011213289,0.00010592925,0.00009036119,0.0000023570515,0.000020809985,9.0617135e-7,0.00014719293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996723,0.00004962379,0.000054913082,0.0000718155,0.00012292776,0.000028411127],"domain_scores_gemma":[0.9987735,0.0007171451,0.00020744187,0.000020073585,0.00024752383,0.000034315584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009775427,0.0008803488,0.0013797133,0.0028271312,0.00017769277,0.0012010987,0.00087349047,0.0009578505,0.003640296],"category_scores_gemma":[0.0015464408,0.00038831608,0.0010360033,0.0033701456,0.0003218941,0.0014847649,0.0005808231,0.0008102684,0.000502839],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016204805,0.00010223897,0.0010058967,0.094847366,0.0005865922,0.00019324693,0.000075013726,0.0010799973,0.0017943106,0.002642156,0.018525496,0.87898564],"study_design_scores_gemma":[0.00005486698,0.000443065,0.0067913956,0.035759963,0.0031846878,0.0012583485,0.00026679115,0.00052354665,0.0017444924,0.0020227272,0.94786114,0.00008900101],"about_ca_topic_score_codex":0.0023797997,"about_ca_topic_score_gemma":0.0054303417,"teacher_disagreement_score":0.003640296,"about_ca_system_score_codex":0.0005717498,"about_ca_system_score_gemma":0.0018687005,"threshold_uncertainty_score":0.012178004},"labels":[],"label_agreement":null},{"id":"W4402876429","doi":"10.2172/2447837","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: First Quarter 2024","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Argonne National Laboratory; Otsuka Canada Pharmaceutical; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Transportation","keywords":"Quarter (Canadian coin); Electric vehicle; Transport engineering; Telecommunications; Environmental science; Engineering; Geography; Archaeology; Physics","score_opus":0.007717368271911763,"score_gpt":0.2274431264363716,"score_spread":0.21972575816445983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402876429","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06590883,0.0038576392,0.0044690645,0.014294851,0.0017308493,0.00022306721,0.19848876,0.0021562,0.70887077],"genre_scores_gemma":[0.23195304,0.0072286082,0.0045787343,0.0023756358,0.0003210514,0.00024650915,0.17554793,0.00032942716,0.57741916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994523,0.000023032997,0.000012327699,0.00004288607,0.0003868137,0.00008270749],"domain_scores_gemma":[0.9991505,0.000037774716,0.0000795939,0.000022453809,0.0006156881,0.0000939738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035077502,0.00044850926,0.00017644104,0.0011999907,0.00029195816,0.0013078887,0.00052994094,0.0006280997,0.03138812],"category_scores_gemma":[0.0009852354,0.0002282171,0.0002882624,0.0026425337,0.00009342695,0.001487353,0.0005866474,0.00065531617,0.014386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017680015,0.000086905944,0.023814155,0.0002172312,0.000019565057,0.00007866273,0.00005125432,0.0027033817,0.0011272676,0.0046448335,0.8216439,0.14543602],"study_design_scores_gemma":[0.00002651223,0.0000869709,0.11156846,0.000101140984,0.000022911123,0.00014743248,0.0003608188,0.002851281,0.0022025735,0.0008660375,0.8817486,0.000017253715],"about_ca_topic_score_codex":0.0722982,"about_ca_topic_score_gemma":0.12866639,"teacher_disagreement_score":0.0722982,"about_ca_system_score_codex":0.003241785,"about_ca_system_score_gemma":0.0024995664,"threshold_uncertainty_score":0.14375478},"labels":[],"label_agreement":null},{"id":"W4402906617","doi":"10.1016/j.enpol.2024.114361","title":"The barriers, determinants, and willingness-to-pay in electric motorcycle conversion (EMC) adoption","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Österreichische Forschungsförderungsgesellschaft; ASEAN-European Academic University Network","keywords":"Willingness to pay; Business; Environmental economics; Public economics; Economics; Microeconomics","score_opus":0.002309069245041953,"score_gpt":0.199554192021094,"score_spread":0.19724512277605205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402906617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986743,0.000055572975,0.00010049289,0.0001724141,0.0000025799961,0.0000134726015,0.000033167304,0.0000013413544,0.0009467153],"genre_scores_gemma":[0.9997465,0.00001761333,0.00003534112,0.000012876888,0.000001123794,0.000005700391,0.000016336464,5.538536e-7,0.00016403556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862397,0.00047326856,0.000118871445,0.00013262838,0.00025675353,0.00039443132],"domain_scores_gemma":[0.9936,0.0032159695,0.0016161166,0.0001823963,0.00046713045,0.0009184456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015441218,0.00015296366,0.00022344875,0.0005533308,0.000369491,0.0010873429,0.0003753187,0.00072916865,0.0041294005],"category_scores_gemma":[0.0088111,0.00019984342,0.0005877135,0.00050516997,0.00046387842,0.0005589041,0.00071472785,0.0010859573,0.0002689817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009012272,0.00060509896,0.9900058,0.000030970943,0.000044931403,0.00022321314,0.001339894,0.0004593706,0.00020109933,0.00050577807,0.00016016043,0.006333658],"study_design_scores_gemma":[0.0000053858575,0.00010848396,0.9916693,0.00003696092,0.000024529641,0.00014127996,0.004819055,0.002325505,0.00010835647,0.0003300042,0.00042155723,0.000009479549],"about_ca_topic_score_codex":0.009758606,"about_ca_topic_score_gemma":0.008773952,"teacher_disagreement_score":0.009758606,"about_ca_system_score_codex":0.00057320565,"about_ca_system_score_gemma":0.0009390752,"threshold_uncertainty_score":0.019403577},"labels":[],"label_agreement":null},{"id":"W4402921975","doi":"10.1016/j.est.2024.113883","title":"Collaborative optimization of electric-vehicle battery swapping stations based on energy storage sharing","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Science and Technology Program of Hunan Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Energy storage; Battery (electricity); Electric vehicle; Computer science; Battery storage; Car sharing; Automotive engineering; Engineering; Transport engineering; Physics","score_opus":0.0044634973206859165,"score_gpt":0.20171577696149487,"score_spread":0.19725227964080896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402921975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30904055,0.0009335744,0.65884393,0.0006976782,0.0002555241,0.00024626323,0.0002981809,0.00042339173,0.029260838],"genre_scores_gemma":[0.98960435,0.00006327333,0.0077264924,0.000023808849,0.000014092548,0.000041781008,0.000043437667,0.0000145750455,0.0024681557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999539,0.00013795425,0.000020817193,0.00009408263,0.00008421698,0.00012387455],"domain_scores_gemma":[0.9993112,0.0003771925,0.00007425229,0.000044225228,0.00012365432,0.000069455455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092276774,0.001000187,0.0022367958,0.0005718327,0.0007483663,0.0015120101,0.0017445061,0.0014457916,0.0050064255],"category_scores_gemma":[0.0015951275,0.0007510522,0.00081145874,0.00095346995,0.0006118524,0.001213796,0.0012235186,0.00071488216,0.00030816937],"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":[0.000088458175,0.000033148794,0.00017892847,0.000020595158,0.000022584674,0.00004298282,0.000012448629,0.99297947,0.00036939743,0.0013278378,0.00027275374,0.004651285],"study_design_scores_gemma":[0.00000977998,0.000026342188,0.00006714247,0.0000014025532,0.000007697528,0.0000055345226,0.000010330683,0.99909675,0.000117136304,0.00057507417,0.000080555365,0.000002332112],"about_ca_topic_score_codex":0.008002139,"about_ca_topic_score_gemma":0.007663724,"teacher_disagreement_score":0.008002139,"about_ca_system_score_codex":0.00093259115,"about_ca_system_score_gemma":0.0013917907,"threshold_uncertainty_score":0.01674819},"labels":[],"label_agreement":null},{"id":"W4402972543","doi":"10.21203/rs.3.rs-4990881/v1","title":"Charging ahead: Firm-level optimisation strategies for sustainable and cost-effective electric vehicle workplace charging","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Electric vehicle; Business; Automotive engineering; Environmental economics; Engineering; Economics; Physics; Power (physics)","score_opus":0.029113683334895824,"score_gpt":0.32558718651127033,"score_spread":0.2964735031763745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402972543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2031535,0.0012170249,0.753044,0.0023353454,0.00020777558,0.00028516608,0.0005121929,0.0012631412,0.03798194],"genre_scores_gemma":[0.9746455,0.00012879066,0.021764506,0.00008622757,0.000023443477,0.000039076058,0.00009677506,0.00006597762,0.003149664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991621,0.0002593713,0.000028963465,0.0001420274,0.00014322162,0.00026438254],"domain_scores_gemma":[0.9983902,0.0010338867,0.00011919845,0.00014855496,0.00019862723,0.00010951939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016999219,0.001034962,0.001401116,0.0006281898,0.0004849607,0.0029864074,0.00167959,0.0021137402,0.012482985],"category_scores_gemma":[0.0057207593,0.00066198694,0.0006489735,0.0011355149,0.0006106325,0.003064215,0.0018099163,0.0017598028,0.00084025745],"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":[0.00020830605,0.00015012424,0.0006549789,0.000083320956,0.000042609172,0.00004650823,0.00004290627,0.94164324,0.0009503992,0.007876468,0.001855868,0.046445247],"study_design_scores_gemma":[0.00002032469,0.00005418971,0.00030853835,0.000009834172,0.000013437669,0.000010551391,0.00004939684,0.9881485,0.00038421003,0.010399529,0.00059301936,0.000008517709],"about_ca_topic_score_codex":0.004523428,"about_ca_topic_score_gemma":0.006157904,"teacher_disagreement_score":0.012482985,"about_ca_system_score_codex":0.0012852198,"about_ca_system_score_gemma":0.0021459472,"threshold_uncertainty_score":0.04175967},"labels":[],"label_agreement":null},{"id":"W4402990644","doi":"10.3390/wevj15100445","title":"Geographic Factors Impacting the Demand for Public EV Charging: An Observational Study","year":2024,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Observational study; Business; Environmental science; Medicine","score_opus":0.051567984114658794,"score_gpt":0.2812387941345421,"score_spread":0.22967081001988332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402990644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984415,0.000032887627,0.000047282414,0.000019995541,9.404091e-7,0.0000120248105,0.0011211061,0.0000017400176,0.00032256093],"genre_scores_gemma":[0.998393,0.000076980556,0.000087227156,0.000011801648,0.0000020507446,0.000015089787,0.0011966252,0.0000018782721,0.00021535277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995684,0.000104821,0.00005575295,0.00008315353,0.000085687134,0.000102121434],"domain_scores_gemma":[0.9975333,0.00056418974,0.0009773779,0.00021367072,0.00039309732,0.00031831503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728547,0.00015844076,0.00031761054,0.00070197537,0.00047708358,0.0006724076,0.0005222646,0.00034103662,0.0015348786],"category_scores_gemma":[0.0023090676,0.00026590965,0.00034901444,0.0018532367,0.0005353867,0.00044196838,0.00069787214,0.0005339152,0.00039505342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041658564,0.000048202895,0.99758327,0.000017800272,0.000019010704,0.00011923292,0.00091094215,0.00010206812,0.00008238522,0.000027883121,0.00023533286,0.0008122124],"study_design_scores_gemma":[0.0000025470986,0.000053013722,0.9954732,0.000012407915,0.000009496002,0.00009907441,0.0035511462,0.0002939052,0.000028399863,0.00001404977,0.00045618732,0.0000064799615],"about_ca_topic_score_codex":0.26412642,"about_ca_topic_score_gemma":0.33584657,"teacher_disagreement_score":0.26412642,"about_ca_system_score_codex":0.0013436282,"about_ca_system_score_gemma":0.0012782327,"threshold_uncertainty_score":0.5251781},"labels":[],"label_agreement":null},{"id":"W4403022630","doi":"10.1109/scfc62024.2024.10698178","title":"Optimal Planning for Off-Service Charging of Electric Public Transit Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Public transport; Computer science; Service (business); Transit (satellite); Telecommunications; Transport engineering; Business; Engineering; Marketing","score_opus":0.009509858158499612,"score_gpt":0.21090798349718679,"score_spread":0.20139812533868717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403022630","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2518535,0.0008518798,0.69930834,0.0007206759,0.000103870996,0.0005564991,0.0009598754,0.0004630804,0.045182303],"genre_scores_gemma":[0.9371991,0.00029133348,0.054008383,0.000042976648,0.000014428718,0.0002451597,0.0003161879,0.000069439186,0.007812967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995821,0.00018183568,0.000011527428,0.000057110883,0.00006108708,0.00010621697],"domain_scores_gemma":[0.9993963,0.00036806616,0.00005801031,0.000018130331,0.00008406069,0.00007538875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006813594,0.0008524046,0.00088296254,0.00078454183,0.00064657355,0.0013542003,0.0008896052,0.000996161,0.0061752596],"category_scores_gemma":[0.0018481427,0.00085430447,0.00050915574,0.00108843,0.0008254561,0.0009422986,0.0006941437,0.0008009181,0.0003720843],"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":[0.00002663675,0.000009327311,0.00018858396,0.000013134327,0.000004245394,0.000025742236,0.000016362623,0.9941281,0.000110652385,0.0022304305,0.00023827111,0.003008465],"study_design_scores_gemma":[0.000006661444,0.000018060253,0.0001374967,0.0000044576173,0.0000034291122,0.000005157004,0.000040677958,0.99662304,0.00012911335,0.0026171291,0.0004112548,0.0000035184887],"about_ca_topic_score_codex":0.039730445,"about_ca_topic_score_gemma":0.04354046,"teacher_disagreement_score":0.039730445,"about_ca_system_score_codex":0.0026710809,"about_ca_system_score_gemma":0.002609028,"threshold_uncertainty_score":0.07899833},"labels":[],"label_agreement":null},{"id":"W4403023119","doi":"10.1109/scfc62024.2024.10698644","title":"Optimal Planning for On-Route Charging of Battery Electric Buses in Public Transit Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Public transport; Transit (satellite); Battery (electricity); Computer science; Transport engineering; Telecommunications; Automotive engineering; Engineering; Power (physics)","score_opus":0.01271940665666772,"score_gpt":0.22026296493978834,"score_spread":0.20754355828312063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403023119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3844162,0.00066153135,0.57087815,0.00061705447,0.000075715005,0.00074178743,0.000815809,0.0005744462,0.041219294],"genre_scores_gemma":[0.9507414,0.00023737122,0.042799376,0.000033727873,0.0000083045215,0.00018996272,0.00019857143,0.00005024696,0.005741066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996082,0.00017010377,0.000009028772,0.00004987258,0.00005041525,0.0001123494],"domain_scores_gemma":[0.99959475,0.00022769668,0.000047705704,0.000011372952,0.0000566737,0.000061862425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006137535,0.0008749211,0.0009900139,0.000676555,0.0007169457,0.0013701544,0.0009081868,0.0009714868,0.0046835425],"category_scores_gemma":[0.0012913229,0.00086097984,0.0006387426,0.0007325334,0.0007540527,0.00090576365,0.0006450966,0.0007540585,0.00032436132],"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":[0.000027972515,0.000011144836,0.00019627469,0.000012154432,0.0000050945036,0.000027827688,0.00001779417,0.9959239,0.00016567833,0.0010740354,0.0001525391,0.0023855292],"study_design_scores_gemma":[0.000008513612,0.000032602937,0.00018609318,0.0000045176957,0.0000060943803,0.000006192189,0.00005831056,0.9978452,0.00022433192,0.0013544385,0.00026927635,0.0000044578214],"about_ca_topic_score_codex":0.046296615,"about_ca_topic_score_gemma":0.060529023,"teacher_disagreement_score":0.046296615,"about_ca_system_score_codex":0.002733381,"about_ca_system_score_gemma":0.002679483,"threshold_uncertainty_score":0.09205431},"labels":[],"label_agreement":null},{"id":"W4403094348","doi":"10.1109/icjece.2024.3425515","title":"Energy-Efficient Route Navigation (Eco-Routing) for Electric Vehicles in SUMO","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.003278059501824774,"score_gpt":0.1675359525801792,"score_spread":0.16425789307835442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403094348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20586756,0.00026306434,0.75144714,0.0005026796,0.00014542445,0.00014612805,0.0028472957,0.0036669082,0.035113856],"genre_scores_gemma":[0.82889444,0.0004012541,0.1618479,0.000070879614,0.000020094663,0.00018968964,0.0016229411,0.00031199004,0.006640897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999037,0.000025047342,0.0000062083373,0.000015413687,0.000034308086,0.000015354679],"domain_scores_gemma":[0.99984527,0.000052752992,0.000020434363,0.000029291374,0.000036870886,0.000015507178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021189527,0.0003985205,0.00036056442,0.00030957343,0.00034414444,0.000508127,0.00070783385,0.00043406076,0.0027331158],"category_scores_gemma":[0.0007572031,0.00018735888,0.000589429,0.00032695156,0.00027017193,0.0006181817,0.0006188305,0.0003693475,0.00034778152],"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":[0.000017933586,0.000016792554,0.0009232969,0.0000279808,0.00001261967,0.00005059546,0.000038665607,0.9792533,0.0011583113,0.010863809,0.00072347175,0.0069133043],"study_design_scores_gemma":[0.000005270459,0.0000074489235,0.00016487001,0.0000030122444,0.000003548323,0.000012836116,0.000013878648,0.99491346,0.0004695778,0.0020295486,0.0023725189,0.00000400942],"about_ca_topic_score_codex":0.014240547,"about_ca_topic_score_gemma":0.0153195625,"teacher_disagreement_score":0.014240547,"about_ca_system_score_codex":0.0004989823,"about_ca_system_score_gemma":0.00064587296,"threshold_uncertainty_score":0.028315306},"labels":[],"label_agreement":null},{"id":"W4403125077","doi":"10.1109/pesgm51994.2024.10688442","title":"A Zonal Capacity Market Model With Energy Storage for Transmission and Distribution","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Energy storage; Distribution (mathematics); Transmission (telecommunications); Energy market; Computer science; Environmental science; Telecommunications; Renewable energy; Electrical engineering; Physics; Engineering; Thermodynamics","score_opus":0.004448020004709544,"score_gpt":0.16958742597781828,"score_spread":0.16513940597310875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403125077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21860415,0.001315111,0.6122932,0.0023261267,0.00029796205,0.00046446282,0.0035737823,0.00072768447,0.16039753],"genre_scores_gemma":[0.94563615,0.000478495,0.019769847,0.00009008378,0.00004140644,0.0001835019,0.00033656377,0.000050854927,0.033413127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996233,0.00012626432,0.000011505739,0.00006928989,0.000077642675,0.000091928145],"domain_scores_gemma":[0.99953604,0.00015608099,0.000073401425,0.000028349363,0.00015053713,0.00005572308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006461359,0.0008837407,0.0005774227,0.0006202585,0.00071894424,0.0019502336,0.0025559135,0.0012618059,0.011446492],"category_scores_gemma":[0.0011285691,0.00039647726,0.000747407,0.0011584802,0.00088722224,0.00171802,0.00082020013,0.0009607102,0.00071443303],"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":[0.00006484558,0.000022197713,0.000310087,0.000035015877,0.000018826704,0.00014145597,0.000046129193,0.9512026,0.00067596236,0.043423843,0.0014063847,0.0026527257],"study_design_scores_gemma":[0.000014476734,0.000016778482,0.00016219445,0.000003624762,0.000009258034,0.000021012804,0.000030324994,0.99477094,0.000077089215,0.0035731222,0.0013124958,0.0000085385045],"about_ca_topic_score_codex":0.08354623,"about_ca_topic_score_gemma":0.077381186,"teacher_disagreement_score":0.08354623,"about_ca_system_score_codex":0.0027216699,"about_ca_system_score_gemma":0.0023527807,"threshold_uncertainty_score":0.16611987},"labels":[],"label_agreement":null},{"id":"W4403126737","doi":"10.1109/pesgm51994.2024.10688611","title":"Uncovering Patterns in Electric Vehicle Charging: A Data-Driven Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electric vehicle; Computer science; Physics; Power (physics)","score_opus":0.01259952640093783,"score_gpt":0.21789104374340162,"score_spread":0.2052915173424638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403126737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7812856,0.0011826125,0.16505757,0.0034204368,0.0001395411,0.00075456937,0.041670404,0.0016808057,0.0048085474],"genre_scores_gemma":[0.85075617,0.00044194702,0.11559339,0.00020642254,0.000066763416,0.00035874502,0.03135818,0.00008266904,0.0011357507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99697876,0.0009851619,0.00027780852,0.00073893805,0.0008136407,0.0002058144],"domain_scores_gemma":[0.9904095,0.0057426095,0.0010052973,0.0011815978,0.0013767588,0.0002842528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029425847,0.000663649,0.0007915017,0.0064608594,0.00061947666,0.0021934467,0.001620461,0.0012355419,0.0006277356],"category_scores_gemma":[0.011337567,0.00049519597,0.0010670592,0.0063659977,0.0006949708,0.0015572906,0.0011761917,0.001220676,0.000494071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051050424,0.0018183948,0.7000446,0.0006803611,0.0005864582,0.0012865667,0.0017591079,0.088312,0.007843989,0.012574416,0.011566723,0.17301695],"study_design_scores_gemma":[0.00004570178,0.0002689442,0.20720495,0.00015774147,0.0001321158,0.00091541227,0.003914423,0.73831195,0.0066903476,0.02384406,0.018376091,0.00013827131],"about_ca_topic_score_codex":0.01087374,"about_ca_topic_score_gemma":0.016585827,"teacher_disagreement_score":0.01087374,"about_ca_system_score_codex":0.0013347855,"about_ca_system_score_gemma":0.0012692895,"threshold_uncertainty_score":0.02162087},"labels":[],"label_agreement":null},{"id":"W4403262968","doi":"10.1049/gtd2.13276","title":"Improving electric vehicle charging forecasting: A hybrid deep learning approach for probabilistic predictions","year":2024,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Saskatchewan","funders":"","keywords":"Probabilistic logic; Computer science; Probabilistic forecasting; Electric vehicle; Artificial intelligence; Machine learning","score_opus":0.011690563398981915,"score_gpt":0.2029268680051056,"score_spread":0.19123630460612367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403262968","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08418926,0.00067792437,0.9086564,0.00070785463,0.00011303622,0.00003153232,0.00020901873,0.0019287366,0.0034861963],"genre_scores_gemma":[0.9371556,0.00022472229,0.05944296,0.00021283809,0.000075860444,0.00003828571,0.0003218065,0.000051334544,0.0024765607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997842,0.00004593336,0.000015467444,0.00005396949,0.000059550108,0.00004084911],"domain_scores_gemma":[0.99948955,0.00023350545,0.000057085723,0.000044131615,0.00014891737,0.000026729907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007499808,0.0006844472,0.0006259123,0.00077786733,0.00024612513,0.000665388,0.0009813042,0.0008165688,0.0014837742],"category_scores_gemma":[0.001596942,0.00039613462,0.00052847585,0.00069630594,0.0002809809,0.0011123928,0.00077268033,0.0008929575,0.00033908949],"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":[0.0000650476,0.00008666775,0.0011818245,0.000022651257,0.00003822205,0.000038063015,0.000016434882,0.8866442,0.0017126087,0.0016612998,0.0012247707,0.10730814],"study_design_scores_gemma":[8.619291e-7,0.0000024493688,0.00003788727,7.415569e-7,0.0000011277302,9.704746e-7,5.851414e-7,0.9995876,0.000093244686,0.0002392586,0.00003438757,8.5596724e-7],"about_ca_topic_score_codex":0.013052191,"about_ca_topic_score_gemma":0.012169459,"teacher_disagreement_score":0.013052191,"about_ca_system_score_codex":0.00075894844,"about_ca_system_score_gemma":0.0010232647,"threshold_uncertainty_score":0.025952458},"labels":[],"label_agreement":null},{"id":"W4403277671","doi":"10.1016/j.ifacol.2024.09.278","title":"Comparative study of centralized and decentralized systems for hydrogen hubs","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Distributed computing; Computer science; Decentralised system; Business; Artificial intelligence","score_opus":0.014815342970023914,"score_gpt":0.2621713853375126,"score_spread":0.2473560423674887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403277671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90757936,0.0005465384,0.06713941,0.0003731967,0.000045081437,0.00017094666,0.00029687368,0.00015046519,0.023697983],"genre_scores_gemma":[0.99566334,0.00008446973,0.0029907762,0.000009926591,0.000004473147,0.000029437528,0.00005258959,0.000011011862,0.0011539226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946433,0.00026330337,0.000013928123,0.000061887804,0.00010851295,0.00008803064],"domain_scores_gemma":[0.99764013,0.0013787856,0.00026310244,0.00015666187,0.0004323041,0.00012905496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014973952,0.0004676337,0.00067490025,0.0005316396,0.00050089514,0.001083644,0.00056909095,0.0006151971,0.0037552458],"category_scores_gemma":[0.0029503186,0.00025472624,0.0005100408,0.0004837029,0.00042615994,0.0009798673,0.00060108036,0.00058489013,0.00021369492],"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":[0.000103755294,0.00004343219,0.0006340726,0.000042897216,0.000024073554,0.000029258215,0.000019636893,0.9919171,0.00066909747,0.0032934474,0.0001627947,0.003060453],"study_design_scores_gemma":[0.000040019157,0.00035033192,0.0016115044,0.000010820956,0.000027144895,0.000016772583,0.00011911142,0.9943785,0.0008563077,0.0020847793,0.0004908764,0.000013837111],"about_ca_topic_score_codex":0.008453313,"about_ca_topic_score_gemma":0.007939496,"teacher_disagreement_score":0.008453313,"about_ca_system_score_codex":0.00163396,"about_ca_system_score_gemma":0.0011437192,"threshold_uncertainty_score":0.016808212},"labels":[],"label_agreement":null},{"id":"W4403360115","doi":"10.62154/ajesre.2024.016.010326","title":"Drivers of Electric Vehicle Adoption in Nigeria","year":2024,"lang":"en","type":"article","venue":"African Journal of Environmental Sciences and Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Electric vehicle; Business; Physics","score_opus":0.002953569214506497,"score_gpt":0.1668689662800872,"score_spread":0.16391539706558073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403360115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839276,0.00011828174,0.000037318874,0.0001497156,0.0000029973962,0.000007249457,0.000045762867,7.827547e-7,0.0012451304],"genre_scores_gemma":[0.9992199,0.0003073994,0.00005118332,0.000012745616,0.000001561306,0.000005000541,0.000032199347,6.256864e-7,0.0003694126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997701,0.000049421826,0.000025952133,0.000027939954,0.000056907287,0.00006965355],"domain_scores_gemma":[0.9990382,0.00033827426,0.00038772094,0.000019179095,0.00011050878,0.00010612092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005297026,0.00013795357,0.00017508923,0.00045181057,0.0005267092,0.0008822011,0.00017556001,0.00027308642,0.0024678528],"category_scores_gemma":[0.0015540095,0.00019301468,0.00022711893,0.0007474932,0.0002974351,0.00057376915,0.00058631116,0.0007166079,0.00015728187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026326486,0.00010004475,0.986239,0.000041107454,0.000009350527,0.0003220559,0.0049716546,0.0001173775,0.00020705117,0.0009219337,0.00017827933,0.0068658316],"study_design_scores_gemma":[0.0000026324888,0.000060020917,0.9598912,0.00013986965,0.000019580382,0.0003567251,0.03650676,0.0007624504,0.00013562154,0.0002537475,0.001860674,0.000010709762],"about_ca_topic_score_codex":0.02207223,"about_ca_topic_score_gemma":0.034630243,"teacher_disagreement_score":0.02207223,"about_ca_system_score_codex":0.00058063795,"about_ca_system_score_gemma":0.0007724105,"threshold_uncertainty_score":0.043887496},"labels":[],"label_agreement":null},{"id":"W4403382612","doi":"10.1073/pnas.2320858121","title":"Health benefits of US light-duty vehicle electrification: Roles of fleet dynamics, clean electricity, and policy timing","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Saudi Aramco; Canada Research Chairs","keywords":"Electrification; Electricity; Air quality index; Environmental economics; Alternative fuel vehicle; Business; Environmental science; Natural resource economics; Automotive engineering; Engineering; Economics; Diesel fuel; Alternative fuels; Meteorology","score_opus":0.015019326413791678,"score_gpt":0.26900853151987636,"score_spread":0.2539892051060847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403382612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622904,0.0010876982,0.010544624,0.0033303944,0.00006997373,0.000064977205,0.0028944132,0.00005185941,0.019665629],"genre_scores_gemma":[0.9974322,0.0003274345,0.0005616725,0.00013545812,0.000008937542,0.000013015958,0.00031944225,0.0000053294343,0.0011966513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997069,0.00013222014,0.000010511128,0.000035237008,0.000025724443,0.0000893111],"domain_scores_gemma":[0.99929404,0.00033807193,0.00019123335,0.000031560834,0.00007797649,0.000067139335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006566225,0.0004116567,0.00032591834,0.00054395397,0.00020933327,0.0015754461,0.00046215445,0.000986595,0.0033596265],"category_scores_gemma":[0.001995288,0.0002446276,0.00069095264,0.00079954095,0.0004375452,0.0015097772,0.0007071603,0.00073300715,0.00010985729],"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":[0.00029425215,0.00009592873,0.03606875,0.000070380745,0.00019167851,0.00022930895,0.000057724643,0.9284876,0.001250296,0.024982985,0.0011704626,0.007100636],"study_design_scores_gemma":[0.0001267133,0.0006602169,0.07782131,0.00014996203,0.00039822384,0.0001557551,0.0018497849,0.8639944,0.0022353325,0.04051801,0.011981052,0.00010927265],"about_ca_topic_score_codex":0.033641648,"about_ca_topic_score_gemma":0.024355756,"teacher_disagreement_score":0.033641648,"about_ca_system_score_codex":0.0019089744,"about_ca_system_score_gemma":0.0009808405,"threshold_uncertainty_score":0.06689167},"labels":[],"label_agreement":null},{"id":"W4403412837","doi":"10.1002/oca.3216","title":"Mixed‐Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management","year":2024,"lang":"en","type":"article","venue":"Optimal Control Applications and Methods","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"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 Waterloo","funders":"","keywords":"Reinforcement learning; Electric vehicle; Energy management; Integer programming; Integer (computer science); Control (management); Mathematical optimization; Reinforcement; Computer science; Energy (signal processing); Engineering; Artificial intelligence; Mathematics; Structural engineering; Physics","score_opus":0.007282110080568093,"score_gpt":0.2674272158032656,"score_spread":0.2601451057226975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403412837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61810654,0.0010369298,0.3607291,0.0011596633,0.00010024116,0.00020542764,0.00020592449,0.00044387585,0.018012235],"genre_scores_gemma":[0.97953737,0.00008542632,0.018473143,0.00003258425,0.000008909771,0.000041352196,0.00003864747,0.000012044521,0.0017705954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970657,0.00013356273,0.000012742439,0.00004152812,0.00005828411,0.00004725297],"domain_scores_gemma":[0.9988065,0.0008970305,0.00005528645,0.00005258031,0.00011900979,0.000069645444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010615425,0.00048066434,0.00042251655,0.00026341833,0.0004361587,0.0006596435,0.00063958723,0.0009734265,0.0017912085],"category_scores_gemma":[0.001517843,0.00018762454,0.0003391713,0.00031854786,0.00059812865,0.00056082086,0.00067974575,0.0008801625,0.00012363591],"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":[0.000106579166,0.00014492664,0.0013022368,0.00006917687,0.000024228359,0.00038919618,0.000048139103,0.97762364,0.0006804028,0.005579172,0.0006831134,0.013349243],"study_design_scores_gemma":[0.000021583715,0.0000506322,0.00024382735,0.0000036571978,0.0000038404814,0.00002234495,0.000031362037,0.99657345,0.0005102,0.0019179715,0.00061698,0.0000041410894],"about_ca_topic_score_codex":0.009227797,"about_ca_topic_score_gemma":0.008963626,"teacher_disagreement_score":0.009227797,"about_ca_system_score_codex":0.00069286645,"about_ca_system_score_gemma":0.0005380636,"threshold_uncertainty_score":0.018348217},"labels":[],"label_agreement":null},{"id":"W4403422971","doi":"10.1109/tia.2024.3481197","title":"Fuzzy Logic Scheduling of the Duty Cycle Perturbation for Optimized MPPT Controller of PV/Wind Hybrid System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Duty cycle; Control theory (sociology); Fuzzy logic; Maximum power point tracking; Photovoltaic system; Computer science; Perturbation (astronomy); Engineering; Control engineering; Voltage; Physics; Inverter; Electrical engineering; Control (management)","score_opus":0.009039469820961632,"score_gpt":0.22147200392534924,"score_spread":0.21243253410438762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403422971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13097978,0.00034530432,0.8590348,0.00010276377,0.0000647078,0.00013433826,0.00004265926,0.00048369917,0.008811859],"genre_scores_gemma":[0.97333175,0.000068280984,0.02564721,0.000023362985,0.000010093705,0.000045990786,0.000013797695,0.000008600961,0.0008509595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998566,0.000022981589,0.000009822127,0.000030738105,0.00006279885,0.000017025453],"domain_scores_gemma":[0.9998895,0.000031615953,0.000025890758,0.000009565166,0.000037605147,0.000005920632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000207249,0.00036517324,0.00024964823,0.00019336854,0.00027189293,0.00048255778,0.00040935513,0.0002660912,0.00064607523],"category_scores_gemma":[0.0003879973,0.00013495145,0.00016953697,0.00013960132,0.00017004402,0.00017096437,0.00014863524,0.00031111613,0.00010704178],"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":[0.00039265305,0.0001307028,0.0010604949,0.00018592228,0.00005505662,0.00014692395,0.00015028154,0.73156786,0.07386677,0.0038999033,0.001066696,0.18747671],"study_design_scores_gemma":[0.000022031398,0.00009767349,0.00046417938,0.0000074666823,0.0000122906995,0.000029052646,0.000009414534,0.9911055,0.0072980034,0.0003676941,0.0005808111,0.000005896614],"about_ca_topic_score_codex":0.0031996106,"about_ca_topic_score_gemma":0.0035646458,"teacher_disagreement_score":0.0031996106,"about_ca_system_score_codex":0.00033300498,"about_ca_system_score_gemma":0.0004511663,"threshold_uncertainty_score":0.0063619614},"labels":[],"label_agreement":null},{"id":"W4403545455","doi":"10.3390/engproc2024076027","title":"Forecasting Electric Vehicle Adaption Using System Dynamics: A Case Study of Regina, Saskatchewan","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Electric vehicle; Computer science; Vehicle dynamics; System dynamics; Aeronautics; Artificial intelligence; Automotive engineering; Engineering; Physics","score_opus":0.013664408728875675,"score_gpt":0.21402978636640588,"score_spread":0.2003653776375302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403545455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933236,0.00008104765,0.000857563,0.00021862194,0.000009861136,0.00005589379,0.0013838776,0.000059800695,0.004009742],"genre_scores_gemma":[0.9959926,0.00012346118,0.00083572,0.000050750336,0.0000020576988,0.000027515223,0.0010487476,0.000010231509,0.0019089308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996835,0.00008787696,0.000017876288,0.00006047112,0.000057101213,0.00009317389],"domain_scores_gemma":[0.9992065,0.000301398,0.000052419287,0.000065359534,0.00029730704,0.00007708855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055125676,0.0007574633,0.00038528928,0.0006438089,0.0008114746,0.0012765111,0.0012269784,0.0010283084,0.0014403523],"category_scores_gemma":[0.001145653,0.0003503093,0.00074955466,0.0013826796,0.0006414974,0.00054309814,0.00068368996,0.0008259628,0.0002581777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026083348,0.00026322945,0.07472305,0.0001069689,0.00020208811,0.0024389187,0.00033258964,0.90619516,0.0027621947,0.0021813707,0.002574835,0.007958614],"study_design_scores_gemma":[0.00009236891,0.00014735768,0.08376482,0.00004791414,0.00008342878,0.00009636013,0.0029299203,0.90685034,0.001814754,0.00085249246,0.0032327494,0.000087568624],"about_ca_topic_score_codex":0.88760495,"about_ca_topic_score_gemma":0.8945754,"teacher_disagreement_score":0.11239505,"about_ca_system_score_codex":0.009770072,"about_ca_system_score_gemma":0.0060035014,"threshold_uncertainty_score":0.22611386},"labels":[],"label_agreement":null},{"id":"W4403636801","doi":"10.3390/batteries10110375","title":"European Transition to Electric Vehicles: Italy as a Case of Study","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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":"Transition (genetics); Business; Electric cars; Environmental science; Environmental economics; Natural resource economics; Automotive engineering; Economics; Engineering; Chemistry","score_opus":0.0051309319560522496,"score_gpt":0.21258999643291268,"score_spread":0.20745906447686044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403636801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8349483,0.0028511807,0.0015707674,0.007536347,0.00012308963,0.00014050362,0.0013340772,0.00004399045,0.15145162],"genre_scores_gemma":[0.98470855,0.0020280732,0.00083812914,0.00071347615,0.000097663724,0.00007469578,0.0008466762,0.00002298072,0.010669705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945194,0.00021122808,0.000021752256,0.000058949885,0.000078261575,0.00017786137],"domain_scores_gemma":[0.9995646,0.00015975567,0.00007212003,0.000042679003,0.000069350805,0.0000914989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060239114,0.0003047042,0.0001992726,0.00097133877,0.0008567505,0.0019942701,0.0005754659,0.0010976488,0.0029228618],"category_scores_gemma":[0.0014464037,0.00011008254,0.00034780803,0.0027312227,0.0008273484,0.00085870794,0.0013886429,0.0007482126,0.00057411956],"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":[0.0014220148,0.0038755082,0.22671996,0.0016302539,0.00021544711,0.09680211,0.029011965,0.049847726,0.002460041,0.31279245,0.13116539,0.1440572],"study_design_scores_gemma":[0.00029000477,0.0007215792,0.2421254,0.0012292397,0.00017497773,0.014841027,0.065967776,0.0202402,0.0018587218,0.022383574,0.63004196,0.00012551394],"about_ca_topic_score_codex":0.023627246,"about_ca_topic_score_gemma":0.020749236,"teacher_disagreement_score":0.023627246,"about_ca_system_score_codex":0.0020074255,"about_ca_system_score_gemma":0.00086260407,"threshold_uncertainty_score":0.046979427},"labels":[],"label_agreement":null},{"id":"W4403680888","doi":"10.1016/j.prime.2024.100818","title":"A systematic literature review of optimal placement of fast charging station","year":2024,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Kementerian Keuangan Republik Indonesia; Lembaga Pengelola Dana Pendidikan","keywords":"Computer science; Environmental science","score_opus":0.0015578157330771833,"score_gpt":0.19663467155149342,"score_spread":0.19507685581841624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403680888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014509002,0.99335986,0.0013753442,0.0007637202,0.00026552973,0.0003852179,0.0006877321,0.000021574664,0.0016900485],"genre_scores_gemma":[0.013832923,0.9815376,0.0029824467,0.0005041242,0.00010726057,0.0004129773,0.00040242643,0.000013521177,0.00020682193],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99191296,0.0029634857,0.0027361366,0.0006319383,0.001542692,0.0002127213],"domain_scores_gemma":[0.97068673,0.020054422,0.003476522,0.00054419646,0.0049709342,0.00026725553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009211989,0.0015740133,0.00365722,0.015986545,0.0008610504,0.0027145813,0.0019313287,0.0019484746,0.005682541],"category_scores_gemma":[0.044457972,0.00085407373,0.0061690384,0.014331702,0.0007322755,0.0027554715,0.0014181607,0.0012419736,0.00069318415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015545251,0.0000336486,0.000896321,0.8091057,0.0021996917,0.00018119586,0.00029590813,0.0009382378,0.00028035569,0.0019059904,0.0055755544,0.17843205],"study_design_scores_gemma":[0.00009852633,0.00021654295,0.0025382375,0.9166638,0.015778089,0.00042924847,0.0005361187,0.00039414817,0.00046184857,0.0015529946,0.061282247,0.00004807875],"about_ca_topic_score_codex":0.009076075,"about_ca_topic_score_gemma":0.024128266,"teacher_disagreement_score":0.015986545,"about_ca_system_score_codex":0.0042055296,"about_ca_system_score_gemma":0.022005593,"threshold_uncertainty_score":0.048718214},"labels":[],"label_agreement":null},{"id":"W4403810680","doi":"10.3390/wevj15110492","title":"Driving the Future: An Analysis of Total Cost of Ownership for Electrified Vehicles in North America","year":2024,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Total cost of ownership; Business; Transport engineering; Environmental science; Natural resource economics; Automotive engineering; Economics; Engineering; Accounting","score_opus":0.006151241712647192,"score_gpt":0.2216089365969879,"score_spread":0.21545769488434072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403810680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98970443,0.0009055567,0.00049243425,0.00042028367,0.000011878303,0.000019612644,0.0015477563,0.000006427228,0.0068916753],"genre_scores_gemma":[0.9946748,0.0007247068,0.00036184562,0.000048870148,0.000008560108,0.00001997958,0.0016774278,0.000005724825,0.002478041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997725,0.000037942773,0.000013111531,0.00004014758,0.00007997156,0.000056396973],"domain_scores_gemma":[0.99942386,0.00014414007,0.00013157011,0.0000147692635,0.00021540374,0.000070326554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034504704,0.00019311704,0.00026420638,0.0010933909,0.0004123926,0.0014789912,0.0005005443,0.00036193285,0.002901233],"category_scores_gemma":[0.0009032806,0.00016909541,0.0006773446,0.0019200642,0.00024649876,0.0011299691,0.0005507258,0.0005207875,0.0001390464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116527815,0.00018970169,0.92161417,0.00019116729,0.00035236307,0.0006599559,0.0015871468,0.02645871,0.00053767907,0.015255045,0.0053077904,0.027729725],"study_design_scores_gemma":[0.000004592571,0.000072116454,0.9498218,0.000083519284,0.00011428728,0.0002962815,0.0074963374,0.02787798,0.00018194474,0.0022262572,0.011797279,0.000027523383],"about_ca_topic_score_codex":0.22207792,"about_ca_topic_score_gemma":0.27198985,"teacher_disagreement_score":0.22207792,"about_ca_system_score_codex":0.002702672,"about_ca_system_score_gemma":0.0013614531,"threshold_uncertainty_score":0.44157052},"labels":[],"label_agreement":null},{"id":"W4403836587","doi":"10.1016/j.enpol.2024.114390","title":"How do we decarbonize one billion vehicles by 2050? Insights from a comparative life cycle assessment of electrifying light-duty vehicle fleets in the United States, China, and the United Kingdom","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Saudi Aramco; University of Toronto; Canada Research Chairs","keywords":"China; Aeronautics; Engineering; Political science","score_opus":0.01310565130980991,"score_gpt":0.24918916662948717,"score_spread":0.23608351531967725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403836587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96518964,0.0039584823,0.0075224647,0.004682952,0.00008860743,0.00007931705,0.0034489343,0.00004816785,0.014981431],"genre_scores_gemma":[0.9953237,0.0014282234,0.0013693958,0.00019508091,0.000006576331,0.000020303116,0.0008793292,0.000015738966,0.0007617947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996301,0.000114756105,0.00001888465,0.00004980019,0.000067718116,0.000118794946],"domain_scores_gemma":[0.9994019,0.00016583697,0.000085984226,0.0000356244,0.00024228335,0.0000682403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014151899,0.00045726058,0.00028724133,0.001122969,0.00029922696,0.0017206724,0.0004546933,0.00065562915,0.0015191458],"category_scores_gemma":[0.0024389592,0.00020630815,0.00102864,0.0014100107,0.0004774377,0.0033111747,0.00072891853,0.0006761476,0.00014881125],"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":[0.0007933674,0.0001705537,0.23058455,0.0009537438,0.0011311232,0.0010216811,0.0013992946,0.50923645,0.0054644,0.12084103,0.009505762,0.11889802],"study_design_scores_gemma":[0.00010536906,0.0010866774,0.44707605,0.0009931648,0.0010966626,0.00059044344,0.014625327,0.3438123,0.00835075,0.07761943,0.10437809,0.00026570586],"about_ca_topic_score_codex":0.072441384,"about_ca_topic_score_gemma":0.06832834,"teacher_disagreement_score":0.072441384,"about_ca_system_score_codex":0.0038487876,"about_ca_system_score_gemma":0.0017506641,"threshold_uncertainty_score":0.14403951},"labels":[],"label_agreement":null},{"id":"W4403885878","doi":"10.1007/978-3-031-69051-8_2","title":"Public Transit Zero Emissions Bus Applications: Battery and Electric Bus Comparison in a Canadian Case Study","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"Canadian University Music Society","funders":"","keywords":"Zero emission; Public transport; Battery (electricity); Transit (satellite); Automotive engineering; Transport engineering; Environmental science; Computer science; Business; Engineering; Electrical engineering; Physics; Power (physics)","score_opus":0.017474128523941194,"score_gpt":0.22233368142963578,"score_spread":0.20485955290569458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403885878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.799718,0.0014931844,0.0013094576,0.0016364178,0.0000404576,0.00017387203,0.0022525436,0.000056559365,0.19331957],"genre_scores_gemma":[0.94154745,0.0014859599,0.0012899931,0.00010046126,0.000007210152,0.000028497374,0.0009399006,0.000037505633,0.054563057],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99908495,0.00009987341,0.000014392604,0.00005118241,0.00037003896,0.0003795573],"domain_scores_gemma":[0.9989318,0.00016874769,0.00005083025,0.000024248886,0.0007243266,0.00009997684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005643269,0.00049332133,0.00030280132,0.0016111141,0.003465071,0.0021098745,0.0013254851,0.0007974602,0.0056801625],"category_scores_gemma":[0.0016533328,0.00019325905,0.000518982,0.0055846763,0.000883311,0.00080298097,0.00065550796,0.00073485577,0.0003917078],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017809639,0.0018018043,0.309961,0.0010444446,0.00020495933,0.009416007,0.019635674,0.105959214,0.007831317,0.10974257,0.11933386,0.31328815],"study_design_scores_gemma":[0.00012546561,0.00061170413,0.5796359,0.00032273302,0.00042622458,0.0015783792,0.11568942,0.05378326,0.006048651,0.005662634,0.23587026,0.0002453346],"about_ca_topic_score_codex":0.9925012,"about_ca_topic_score_gemma":0.9978149,"teacher_disagreement_score":0.04048742,"about_ca_system_score_codex":0.04048742,"about_ca_system_score_gemma":0.03015778,"threshold_uncertainty_score":0.2937582},"labels":[],"label_agreement":null},{"id":"W4403894507","doi":"10.18280/ijsdp.191008","title":"Analyze the Potential of Hybrid Renewable Energy Systems (HRES) for EV Charging Stations Across Four Provinces in Indonesia: Conduct Energy and Economic Evaluations","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Renewable energy; Environmental economics; Energy (signal processing); Environmental science; Natural resource economics; Economics; Engineering; Electrical engineering; Statistics; Mathematics","score_opus":0.010665142737409638,"score_gpt":0.2588814893353744,"score_spread":0.24821634659796477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403894507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363273,0.00010602735,0.0006300815,0.00014211697,0.0000049084597,0.000043156015,0.0005062143,0.000013676312,0.0049211653],"genre_scores_gemma":[0.99849296,0.00004726447,0.00021124429,0.0000062276185,8.137337e-7,0.000006403625,0.00014575028,0.0000022908644,0.0010871233],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947983,0.00014739674,0.000020299658,0.000042444717,0.00014844205,0.00016158629],"domain_scores_gemma":[0.99918765,0.00029857777,0.00010213559,0.00003631034,0.0003119251,0.00006336448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070649915,0.0003100874,0.00034768504,0.00056965376,0.0004477941,0.0015920405,0.0007771264,0.00034038795,0.0024370283],"category_scores_gemma":[0.0016455019,0.00025275553,0.0006008324,0.0011914888,0.0003230334,0.0010145144,0.0004925031,0.00054168934,0.00016564346],"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":[0.0016365459,0.00097220286,0.4962372,0.0005546023,0.0010858478,0.001117692,0.00052311487,0.4133686,0.003746298,0.009067585,0.0025171132,0.0691731],"study_design_scores_gemma":[0.00017558598,0.0011803344,0.5705175,0.00007969266,0.00090757967,0.00024324797,0.012488609,0.39899245,0.005614212,0.0034540868,0.0062627294,0.00008400702],"about_ca_topic_score_codex":0.221461,"about_ca_topic_score_gemma":0.3562792,"teacher_disagreement_score":0.221461,"about_ca_system_score_codex":0.0046120365,"about_ca_system_score_gemma":0.0029373865,"threshold_uncertainty_score":0.44034392},"labels":[],"label_agreement":null},{"id":"W4403917129","doi":"10.70389/pjs.100024","title":"Interoperability of the Electric Vehicle Charging Ecosystem","year":2024,"lang":"en","type":"article","venue":"Premier journal of science.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Interoperability; Ecosystem; Electric vehicle; Environmental science; Business; Environmental resource management; Computer science; Ecology; World Wide Web; Biology; Physics","score_opus":0.005338375204534423,"score_gpt":0.20630131443974917,"score_spread":0.20096293923521474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403917129","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26115167,0.0025126035,0.3087341,0.014318587,0.0006324315,0.00029152003,0.0012585832,0.0037435594,0.40735695],"genre_scores_gemma":[0.9283979,0.0022065095,0.0454068,0.0010357968,0.0001440838,0.00013983631,0.0017514298,0.00036934586,0.020548213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816483,0.0005650379,0.00016519867,0.00024815224,0.0005721723,0.0002845986],"domain_scores_gemma":[0.9979997,0.0004039403,0.00012825154,0.0008781705,0.00043104147,0.00015881722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024571735,0.00025534802,0.00025269482,0.001454495,0.00092465425,0.0067350585,0.001216549,0.0015809376,0.004846014],"category_scores_gemma":[0.004228844,0.00030352155,0.0006305529,0.0015638331,0.0016236247,0.010820454,0.006115334,0.0015636531,0.0013492922],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009557824,0.00013931547,0.017099071,0.0003027546,0.00010840044,0.0009784681,0.0031417958,0.013903549,0.0059307693,0.71094143,0.009623504,0.23773532],"study_design_scores_gemma":[0.000018031364,0.00010498497,0.0125521,0.00056731957,0.00008319421,0.0013619787,0.0037460849,0.029283304,0.0056144265,0.4050139,0.541538,0.00011678147],"about_ca_topic_score_codex":0.0018421008,"about_ca_topic_score_gemma":0.0014341378,"teacher_disagreement_score":0.0067350585,"about_ca_system_score_codex":0.0013857062,"about_ca_system_score_gemma":0.0016973183,"threshold_uncertainty_score":0.01621151},"labels":[],"label_agreement":null},{"id":"W4403918450","doi":"10.1109/sm63044.2024.10733434","title":"A Novel Data-driven Incentive-based Charging Service Truncation Scheme To Improve the QoS Performance of Public EV Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Quality of service; Incentive; Scheme (mathematics); Truncation (statistics); Computer science; Computer network; Telecommunications; Mathematics; Microeconomics","score_opus":0.022875725350337637,"score_gpt":0.240850864725374,"score_spread":0.21797513937503638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403918450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11262247,0.00035452645,0.87403613,0.0006701188,0.00027242073,0.00035003608,0.00027479048,0.0009959439,0.010423636],"genre_scores_gemma":[0.96886146,0.000085073625,0.029115548,0.000092472925,0.000035520457,0.00006417776,0.00007602909,0.000021736385,0.0016479046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991698,0.00021829824,0.00005498943,0.00014198585,0.00020325699,0.00021167556],"domain_scores_gemma":[0.99835443,0.000566933,0.00020962965,0.00026357168,0.0003999044,0.00020559858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015259564,0.00053666654,0.00066912407,0.0004644301,0.00063508074,0.000825223,0.002132283,0.000687209,0.0027769106],"category_scores_gemma":[0.004084317,0.00017770649,0.00042607993,0.00069759355,0.0006589922,0.0011961579,0.0016355639,0.0009575576,0.00041066238],"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":[0.00085708476,0.0005408696,0.0041176868,0.0002965307,0.00007757147,0.0004837258,0.00029533883,0.7199879,0.030216003,0.058748238,0.008255583,0.17612343],"study_design_scores_gemma":[0.000043048338,0.0001764068,0.00031600092,0.000009619243,0.000015912447,0.00010080356,0.000037523405,0.9890809,0.0023490677,0.005141752,0.0027109988,0.000017937278],"about_ca_topic_score_codex":0.0024804778,"about_ca_topic_score_gemma":0.0030866503,"teacher_disagreement_score":0.0027769106,"about_ca_system_score_codex":0.0011283547,"about_ca_system_score_gemma":0.0017702153,"threshold_uncertainty_score":0.0092897415},"labels":[],"label_agreement":null},{"id":"W4403920015","doi":"10.1109/sm63044.2024.10733508","title":"Impact of Electrification on the Required Bus Fleet Size: The Case of Overnight Depot Charging","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Depot; Electrification; Computer science; Transport engineering; Automotive engineering; Engineering; Electrical engineering; Electricity; Geography","score_opus":0.007647644672190657,"score_gpt":0.23433220440038613,"score_spread":0.22668455972819548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403920015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977576,0.000122817,0.0017987754,0.0004088508,0.000014324481,0.00004648352,0.00037124715,0.000017964183,0.019643515],"genre_scores_gemma":[0.9982326,0.0000561758,0.0003991553,0.00001594107,0.0000028223849,0.000007244686,0.000068457644,0.0000059654694,0.001211576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990445,0.00026649132,0.000024553949,0.000062741856,0.00018219951,0.0004195625],"domain_scores_gemma":[0.9968832,0.002010617,0.00019520422,0.0001582841,0.0004957786,0.0002567926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013342865,0.00039239062,0.0003145441,0.00061842863,0.00094991736,0.0012964539,0.0009088689,0.00072124385,0.004813794],"category_scores_gemma":[0.00512616,0.00019746291,0.0005602089,0.0007212135,0.0008844682,0.0013137977,0.00078437856,0.00074898027,0.00018584599],"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":[0.0010894471,0.00028493511,0.0908601,0.00023233789,0.00013121383,0.0077956347,0.0011675862,0.8030648,0.015604739,0.036067784,0.0036977914,0.040003676],"study_design_scores_gemma":[0.00019409425,0.0016139376,0.42822942,0.0001849732,0.0004158164,0.0022448217,0.023495678,0.47444344,0.023267101,0.017779779,0.027814534,0.0003163968],"about_ca_topic_score_codex":0.17804217,"about_ca_topic_score_gemma":0.24937177,"teacher_disagreement_score":0.17804217,"about_ca_system_score_codex":0.005183619,"about_ca_system_score_gemma":0.0024489951,"threshold_uncertainty_score":0.3540117},"labels":[],"label_agreement":null},{"id":"W4403920072","doi":"10.1109/sm63044.2024.10733403","title":"Siting and Sizing of EV Charging Stations in Active Distribution Systems Considering V2G Capability","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Sizing; Computer science; Distribution (mathematics); Environmental science; Electrical engineering; Engineering; Chemistry; Mathematics","score_opus":0.006522127650278611,"score_gpt":0.21168774754426936,"score_spread":0.20516561989399074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403920072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24620825,0.0003175209,0.74469846,0.00012556415,0.000041401847,0.0001071605,0.00011419388,0.00028148317,0.008106004],"genre_scores_gemma":[0.9704682,0.00008360207,0.028058195,0.000010969395,0.0000058830406,0.00003075938,0.00003735512,0.000017777904,0.0012873035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998503,0.000054508284,0.0000074321433,0.00002928839,0.000029787547,0.000028760276],"domain_scores_gemma":[0.9998733,0.000050239534,0.000030516749,0.000010286186,0.000021415672,0.000014262458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740925,0.0005522862,0.00056259864,0.0004275047,0.00032306695,0.0007901181,0.0006590051,0.00040326623,0.0017625098],"category_scores_gemma":[0.00054913416,0.00041591402,0.0005215704,0.0004922722,0.00030555105,0.0006640434,0.00033348092,0.00036857754,0.00017839867],"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":[0.000044654545,0.000017833536,0.00046121073,0.000034885485,0.000016360636,0.000057298104,0.000026797314,0.9750141,0.0030858484,0.0018730982,0.00021359151,0.019154202],"study_design_scores_gemma":[0.000007823927,0.000074546835,0.00034595153,0.0000051335137,0.000012717666,0.000038753064,0.00002951421,0.9961733,0.0012489223,0.0016701106,0.00038823587,0.0000049731098],"about_ca_topic_score_codex":0.0036175717,"about_ca_topic_score_gemma":0.005597912,"teacher_disagreement_score":0.0036175717,"about_ca_system_score_codex":0.00043618074,"about_ca_system_score_gemma":0.0007932172,"threshold_uncertainty_score":0.007193029},"labels":[],"label_agreement":null},{"id":"W4403924986","doi":"10.1016/j.energy.2024.133674","title":"A game theory based scheduling approach for charging coordination of multiple electric vehicles aggregators in smart cities","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Malawi University of Science and Technology; Khalifa University of Science, Technology and Research","keywords":"Game theory; Scheduling (production processes); Electric vehicle; Computer science; Coordination game; Transport engineering; Operations research; Engineering; Economics; Microeconomics; Physics; Operations management","score_opus":0.006060938607333728,"score_gpt":0.19116338127594576,"score_spread":0.18510244266861203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403924986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018226972,0.00017201378,0.9730031,0.0003489635,0.00011344247,0.00014288323,0.00006680021,0.00009886346,0.00782696],"genre_scores_gemma":[0.8868744,0.00028031046,0.10562445,0.00018366963,0.00009847492,0.0001984439,0.000086284854,0.00007094134,0.0065830043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888784,0.0005541403,0.0000383588,0.00015583436,0.00017080164,0.00019311016],"domain_scores_gemma":[0.99879223,0.0007513019,0.00008957606,0.000041611394,0.00019107044,0.00013420964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018217493,0.0010813237,0.0016648942,0.0008627557,0.0009325298,0.0019770635,0.0022143964,0.0014350265,0.0039587077],"category_scores_gemma":[0.0026845785,0.0008725837,0.0012098321,0.0010320162,0.0010802925,0.0015850164,0.0013304385,0.0014378272,0.00037185874],"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":[0.00003040371,0.000033635293,0.00012239744,0.000026025049,0.000023061755,0.000059232203,0.000041269035,0.975473,0.00039432573,0.019146018,0.0006044964,0.004046206],"study_design_scores_gemma":[0.000005764736,0.000011771517,0.00002670788,0.0000022342003,0.000004793627,0.000007195352,0.000015661735,0.99597037,0.000043620315,0.0037126364,0.0001960012,0.0000032190499],"about_ca_topic_score_codex":0.02041696,"about_ca_topic_score_gemma":0.01895374,"teacher_disagreement_score":0.02041696,"about_ca_system_score_codex":0.0027426537,"about_ca_system_score_gemma":0.0027301006,"threshold_uncertainty_score":0.040596247},"labels":[],"label_agreement":null},{"id":"W4404001739","doi":"10.1016/j.ijhydene.2024.10.335","title":"Strategic deployment of hydrogen fuel cell buses and fueling stations: Insights from fleet transition models","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Software deployment; Fuel cells; Hydrogen vehicle; Hydrogen; Environmental science; Transition (genetics); Hydrogen fuel; Automotive engineering; Computer science; Chemistry; Engineering; Chemical engineering","score_opus":0.010212259741841825,"score_gpt":0.21078892325957888,"score_spread":0.20057666351773706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404001739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92897,0.00029907573,0.039671563,0.0014883168,0.000029715455,0.000067845336,0.0010254951,0.000082067345,0.028365936],"genre_scores_gemma":[0.9908558,0.00019399067,0.0028909864,0.000062451494,0.0000062319496,0.000042577332,0.00035870553,0.000021048403,0.005568168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.00007392523,0.000005894522,0.000028128701,0.000017312608,0.00008206308],"domain_scores_gemma":[0.9994331,0.00028302372,0.00007682564,0.000022729313,0.00006314969,0.00012111513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000651587,0.00057899556,0.0004304545,0.00074321294,0.00043911042,0.001049479,0.0008547307,0.0010154055,0.004393942],"category_scores_gemma":[0.0016739882,0.00033787295,0.00093604426,0.0005767731,0.00061041606,0.0014900777,0.0009612944,0.0009333076,0.00028281708],"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":[0.000045256606,0.00002763488,0.0027506335,0.0000104374885,0.000014841681,0.000114460614,0.0000579134,0.98201114,0.00016086794,0.012854013,0.0005919528,0.0013608191],"study_design_scores_gemma":[0.00001154853,0.000021722059,0.00089575263,0.000007149695,0.000010809729,0.000011267975,0.00014719587,0.99365294,0.00004321797,0.0046500606,0.00054096326,0.0000074340533],"about_ca_topic_score_codex":0.095325395,"about_ca_topic_score_gemma":0.06539039,"teacher_disagreement_score":0.095325395,"about_ca_system_score_codex":0.0023607463,"about_ca_system_score_gemma":0.0013857973,"threshold_uncertainty_score":0.1895411},"labels":[],"label_agreement":null},{"id":"W4404021452","doi":"10.2139/ssrn.5008893","title":"Electric Vehicle Charging Decisions with Travel Distance: Novel Clustering Algorithm Integrating Spatial-Temporal Charging and Trip Data","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Electric vehicle; Computer science; Travel time; Algorithm; Data mining; Transport engineering; Artificial intelligence; Engineering; Physics; Power (physics)","score_opus":0.012152853065537605,"score_gpt":0.23364096132400902,"score_spread":0.22148810825847143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404021452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06764108,0.0005808968,0.9269883,0.00039762148,0.0001856833,0.00013267466,0.0003529167,0.0010199297,0.0027008904],"genre_scores_gemma":[0.624739,0.0003431332,0.3686423,0.00018074368,0.00022386803,0.0001563845,0.0010183955,0.00011808823,0.004578025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993942,0.00009778056,0.000047490885,0.00021084155,0.00017000944,0.00007964733],"domain_scores_gemma":[0.99913424,0.00025725173,0.000090231275,0.00010280225,0.00034442078,0.00007104462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150191,0.00075193995,0.0014102241,0.0010983386,0.0006358069,0.0011332494,0.0025629667,0.0012791412,0.0011443839],"category_scores_gemma":[0.002437346,0.00049149996,0.0007631406,0.0024366179,0.00031516363,0.00126871,0.00095647253,0.00082731724,0.0005981618],"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":[0.0003944551,0.0003548217,0.004793935,0.00009220559,0.0002405096,0.000054371943,0.00009155377,0.6598291,0.0037894638,0.0028862683,0.0047853473,0.32268798],"study_design_scores_gemma":[0.000011405149,0.000018962437,0.00045969876,0.0000031185234,0.000015658141,0.000019557692,0.000013963729,0.9978521,0.0005293735,0.0007146008,0.00035442028,0.0000072124117],"about_ca_topic_score_codex":0.015112981,"about_ca_topic_score_gemma":0.019597784,"teacher_disagreement_score":0.015112981,"about_ca_system_score_codex":0.0010559441,"about_ca_system_score_gemma":0.0019218635,"threshold_uncertainty_score":0.03005004},"labels":[],"label_agreement":null},{"id":"W4404060408","doi":"10.1016/j.trip.2024.101267","title":"Decision support tools for effective bus fleet electrification: Replacement factors and fleet size prediction","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Fleet management; Computer science; Decision support system; Transport engineering; Operations research; Engineering; Artificial intelligence; Electricity; Electrical engineering","score_opus":0.02164961055096322,"score_gpt":0.3419965790245587,"score_spread":0.3203469684735955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404060408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26011917,0.00073716673,0.7240455,0.001863693,0.000077182944,0.0003992557,0.0026804493,0.0029831943,0.0070944177],"genre_scores_gemma":[0.89490706,0.0003524934,0.10201267,0.00009866608,0.000043147695,0.00020941702,0.0011854396,0.00004370546,0.0011474998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993963,0.00026234356,0.00005390263,0.000108356035,0.000112972644,0.00006623405],"domain_scores_gemma":[0.99315166,0.005425646,0.0005853514,0.000094157556,0.00058963447,0.00015362044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023444626,0.0013486332,0.0010067122,0.0025226008,0.00044603104,0.0016203291,0.00088625494,0.0010798239,0.0030480826],"category_scores_gemma":[0.009877071,0.0005287968,0.00080078567,0.0013687335,0.00027745607,0.0014491245,0.0007168022,0.0011623058,0.0004461495],"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":[0.000121234814,0.0001952082,0.008236218,0.00009779543,0.00005445441,0.00008783682,0.000059111277,0.92203337,0.00041200203,0.0021881063,0.0017204176,0.06479431],"study_design_scores_gemma":[0.0000055134615,0.000018486064,0.00046767338,0.0000120648765,0.0000053739263,0.000005072394,0.000024255367,0.9982187,0.0001636915,0.00091253826,0.00016174864,0.0000048476786],"about_ca_topic_score_codex":0.023750242,"about_ca_topic_score_gemma":0.015695242,"teacher_disagreement_score":0.023750242,"about_ca_system_score_codex":0.0012927565,"about_ca_system_score_gemma":0.0018423612,"threshold_uncertainty_score":0.047223985},"labels":[],"label_agreement":null},{"id":"W4404321620","doi":"10.2139/ssrn.5019573","title":"Knowledge is Power: A Comprehensive Meta-Regression Analysis of the Effect of Informed Consumers on the Adoption of Electric Vehicles","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Meta-regression; Meta-analysis; Regression analysis; Power (physics); Regression; Business; Psychology; Econometrics; Economics; Statistics; Mathematics; Medicine; Physics","score_opus":0.009959958387334407,"score_gpt":0.2502764398799292,"score_spread":0.2403164814925948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404321620","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22133698,0.74610513,0.021099545,0.0026362983,0.0014496011,0.00054361654,0.0040957797,0.00040159724,0.0023313982],"genre_scores_gemma":[0.9527136,0.03657463,0.0064347056,0.0012619976,0.00039376057,0.00046219106,0.0010919367,0.00022812946,0.00083906454],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9529329,0.033864122,0.004575366,0.0053962893,0.00239626,0.0008350833],"domain_scores_gemma":[0.79410344,0.17520964,0.012433788,0.013448253,0.003610884,0.0011939647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.043604657,0.0029607587,0.007631091,0.0038596713,0.00083267875,0.003928514,0.0032828487,0.0037305043,0.0049682995],"category_scores_gemma":[0.13048573,0.00182716,0.04117798,0.0053768815,0.0015731346,0.0032163511,0.0025550239,0.0052833483,0.00076736143],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029636049,0.00005584051,0.021131257,0.013568366,0.95516795,0.00009166061,0.00023506954,0.000568743,0.00020552933,0.00036096573,0.00041600823,0.0052349786],"study_design_scores_gemma":[0.0006890541,0.00045454808,0.015659066,0.002041035,0.97786194,0.00007130968,0.00013183978,0.00073895004,0.00027288625,0.00093174976,0.0011123649,0.00003525557],"about_ca_topic_score_codex":0.010477705,"about_ca_topic_score_gemma":0.009576078,"teacher_disagreement_score":0.043604657,"about_ca_system_score_codex":0.0011126762,"about_ca_system_score_gemma":0.0020807013,"threshold_uncertainty_score":0.2306062},"labels":[],"label_agreement":null},{"id":"W4404564609","doi":"10.1109/eeeic/icpseurope61470.2024.10751245","title":"Electric Vehicle Flexibility Harnessing Through Local Energy Community Operation Optimization: Maximizing Local Energy Utilization","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Flexibility (engineering); Energy (signal processing); Electric vehicle; Computer science; Automotive engineering; Engineering; Power (physics); Economics","score_opus":0.022462565612324643,"score_gpt":0.24259638189411045,"score_spread":0.2201338162817858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404564609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24020642,0.00068552914,0.7400476,0.0005079606,0.00005533061,0.0001260391,0.00011912494,0.00030584904,0.017946208],"genre_scores_gemma":[0.99179417,0.00007890344,0.0065752813,0.0000288571,0.0000061597602,0.000035868776,0.000027559252,0.000019574743,0.0014336166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997217,0.00009009347,0.0000069507746,0.000053999738,0.00004534204,0.00008194011],"domain_scores_gemma":[0.9996749,0.00012976688,0.00005636276,0.000019098241,0.00005910694,0.00006072859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072549994,0.0009046152,0.00073815347,0.00045216604,0.00042158432,0.0011648828,0.0010117211,0.0006456139,0.0027052746],"category_scores_gemma":[0.0012008956,0.0003225813,0.00048529016,0.0005483679,0.00050388544,0.0011915244,0.001268223,0.00060259533,0.00025902633],"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":[0.00006609263,0.00004221361,0.0005607044,0.0000426613,0.00002875675,0.00010524261,0.000034811634,0.9836194,0.0012514895,0.003682753,0.0005404679,0.010025422],"study_design_scores_gemma":[0.0000073208007,0.0000324511,0.0001278967,0.0000047783683,0.0000093886265,0.000015365726,0.000043635133,0.9977197,0.00022372838,0.0015654108,0.00024606226,0.0000041717594],"about_ca_topic_score_codex":0.0031805178,"about_ca_topic_score_gemma":0.0038336562,"teacher_disagreement_score":0.0031805178,"about_ca_system_score_codex":0.00068492745,"about_ca_system_score_gemma":0.00064582867,"threshold_uncertainty_score":0.009050071},"labels":[],"label_agreement":null},{"id":"W4404564974","doi":"10.1109/eeeic/icpseurope61470.2024.10751067","title":"Representative Time-Series Scenarios of Residential Power Demand, Electric Vehicle Charging, and Solar Photovoltaic Generation Based on Unsupervised Learning Algorithms","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Photovoltaic system; Computer science; Series (stratigraphy); Time series; Power demand; Electric vehicle; Power (physics); Machine learning; Engineering; Electrical engineering; Power consumption","score_opus":0.00531952417571465,"score_gpt":0.20826079461138736,"score_spread":0.2029412704356727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404564974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27455342,0.00009514885,0.7216247,0.00017786608,0.000028111383,0.00017487988,0.0004963618,0.00061777735,0.0022318119],"genre_scores_gemma":[0.87657106,0.000073894684,0.12123562,0.00003552993,0.000021555828,0.00017415876,0.000997838,0.000048078182,0.0008423125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994962,0.00021398523,0.000030811123,0.0001263033,0.00008374374,0.0000488132],"domain_scores_gemma":[0.9980959,0.0011385455,0.00022072077,0.00016920053,0.0003123778,0.00006323044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012732907,0.0005960867,0.0005458887,0.0009636979,0.0004213232,0.000692816,0.0007589441,0.00064657046,0.00059328304],"category_scores_gemma":[0.0043000374,0.0003038574,0.00067415676,0.0008455773,0.00039305555,0.0010928581,0.00043722062,0.00073747314,0.00016591376],"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":[0.000043246695,0.00004388707,0.002217872,0.000015635811,0.00003131273,0.000027086795,0.000040549985,0.9802422,0.00029373274,0.0023212838,0.00030663062,0.014416521],"study_design_scores_gemma":[0.0000015342277,0.0000041264852,0.00028755036,9.2078113e-7,0.0000013960725,0.0000041841513,0.000006695999,0.998787,0.00010892354,0.000742086,0.000053706746,0.0000019506717],"about_ca_topic_score_codex":0.006324914,"about_ca_topic_score_gemma":0.006830929,"teacher_disagreement_score":0.006324914,"about_ca_system_score_codex":0.0008943455,"about_ca_system_score_gemma":0.0006302933,"threshold_uncertainty_score":0.012576222},"labels":[],"label_agreement":null},{"id":"W4404632868","doi":"10.1016/j.jtrangeo.2024.104059","title":"Development and application of an optimization model to evaluate future charging demand for long-haul electric vehicles in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Transport engineering; Electric vehicle; Engineering; Operations research","score_opus":0.004405057136873792,"score_gpt":0.1953424053283195,"score_spread":0.19093734819144573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404632868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7323853,0.00092562294,0.18634388,0.0021616172,0.00016382315,0.00085415837,0.006224582,0.0006497412,0.07029136],"genre_scores_gemma":[0.9725176,0.00028610742,0.018268546,0.000068410984,0.000011889306,0.00014898862,0.0012409078,0.000036072375,0.0074214293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964166,0.00006893104,0.000012491401,0.00005536583,0.00008695063,0.00013453775],"domain_scores_gemma":[0.9993344,0.00020506002,0.000054333275,0.0000132755085,0.00033740542,0.000055553835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007533517,0.0011157405,0.00059327146,0.00073392666,0.0012955391,0.0016356106,0.0015141662,0.0010130671,0.0030949337],"category_scores_gemma":[0.0015739339,0.00063682056,0.00089917396,0.0009999727,0.00060857687,0.00051624794,0.0006133091,0.00081289,0.00019607118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017406628,0.000013532581,0.0018548471,0.00001582241,0.0000081426915,0.000041179665,0.000015454456,0.9953453,0.00014457345,0.0006895669,0.0004328264,0.001421326],"study_design_scores_gemma":[0.000007815724,0.000008246968,0.00092060125,0.0000036727056,0.0000054384723,0.000002826365,0.00003776178,0.9984875,0.000055880355,0.00015153654,0.00031409794,0.0000046079936],"about_ca_topic_score_codex":0.94292325,"about_ca_topic_score_gemma":0.9036506,"teacher_disagreement_score":0.057076752,"about_ca_system_score_codex":0.017800895,"about_ca_system_score_gemma":0.018592928,"threshold_uncertainty_score":0.12915516},"labels":[],"label_agreement":null},{"id":"W4404692935","doi":"10.3390/en17235905","title":"Impact of Electric Vehicles Charging on Urban Residential Power Distribution Networks","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Distribution (mathematics); Automotive engineering; Electric vehicle; Power (physics); Transport engineering; Environmental science; Engineering; Mathematics; Physics","score_opus":0.00301506147610702,"score_gpt":0.20706076198346957,"score_spread":0.20404570050736254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404692935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97894865,0.0001394903,0.008896998,0.00029126054,0.000023782119,0.000025184383,0.00017414303,0.000116992844,0.011383483],"genre_scores_gemma":[0.99911326,0.000051029605,0.00039327788,0.0000129557175,0.000002813757,0.0000028847362,0.00005098077,0.000006443316,0.0003662433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992415,0.00035662446,0.000018309573,0.00006178962,0.00016659715,0.00015518171],"domain_scores_gemma":[0.9986072,0.00086582196,0.00014424718,0.00007492943,0.00024774167,0.00006008531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555279,0.0004078471,0.0002442407,0.00034996017,0.0005613337,0.0006878508,0.00038047507,0.00031819878,0.0016627111],"category_scores_gemma":[0.0026125903,0.00017498876,0.00022645922,0.00079505186,0.00058914674,0.00094291865,0.00060491345,0.00041842356,0.00013792016],"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":[0.0001287907,0.00006378893,0.017882237,0.00003016767,0.000023129915,0.00033959578,0.0000585306,0.9630594,0.0013656585,0.0039862613,0.000747886,0.012314544],"study_design_scores_gemma":[0.000015698535,0.00017737925,0.024828216,0.000014916482,0.00003622896,0.00014670729,0.000792609,0.9631758,0.0038162314,0.00531326,0.0016596781,0.000023296938],"about_ca_topic_score_codex":0.022008887,"about_ca_topic_score_gemma":0.032054923,"teacher_disagreement_score":0.022008887,"about_ca_system_score_codex":0.002047627,"about_ca_system_score_gemma":0.0006671695,"threshold_uncertainty_score":0.04376155},"labels":[],"label_agreement":null},{"id":"W4404730802","doi":"10.2172/2478445","title":"Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Second Quarter 2024","year":2024,"lang":"en","type":"report","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Argonne National Laboratory; Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Electric vehicle; Electric cars; Transport engineering; Telecommunications; Engineering; Automotive engineering; Geography; Archaeology; Physics","score_opus":0.007554970825226049,"score_gpt":0.22977755074351597,"score_spread":0.22222257991828992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404730802","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077049084,0.003908904,0.0047781323,0.009526402,0.0018740179,0.00025119938,0.4055432,0.0020953116,0.4949737],"genre_scores_gemma":[0.17978635,0.0058135465,0.0044765878,0.0019337344,0.0003189398,0.0003092683,0.32987237,0.00031534643,0.47717384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999453,0.00002625563,0.000015515881,0.000054883025,0.0003579794,0.00009230082],"domain_scores_gemma":[0.9990336,0.000048578982,0.000104996565,0.000023830244,0.0006672496,0.000121662444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044551134,0.00060154835,0.00024619084,0.0017029705,0.00026641283,0.0013188162,0.0005220427,0.00060436106,0.026262257],"category_scores_gemma":[0.0010985992,0.00026993506,0.00043692582,0.0036035704,0.000086831045,0.0015574389,0.0006327303,0.0006785354,0.015155397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019786374,0.00011570693,0.03220681,0.00023305889,0.000029134542,0.000084085994,0.000049510676,0.0034761392,0.0007155903,0.0029983772,0.84306824,0.11682546],"study_design_scores_gemma":[0.00003603808,0.00011410784,0.2179708,0.00016395026,0.000045790828,0.00018392246,0.00038710257,0.004761981,0.001722871,0.0007760872,0.77381295,0.000024412135],"about_ca_topic_score_codex":0.08231044,"about_ca_topic_score_gemma":0.1492735,"teacher_disagreement_score":0.08231044,"about_ca_system_score_codex":0.0031123203,"about_ca_system_score_gemma":0.0025747912,"threshold_uncertainty_score":0.16366267},"labels":[],"label_agreement":null},{"id":"W4404799568","doi":"10.1016/j.apenergy.2024.124951","title":"Modeling and energy management of hangar thermo-electrical microgrid for electric plane charging considering multiple zones and resources","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Electric potential energy; Energy management; Automotive engineering; Electric power; Energy (signal processing); Engineering; Environmental science; Electrical engineering; Power (physics); Renewable energy; Physics","score_opus":0.0054139733806756,"score_gpt":0.17528455094607473,"score_spread":0.16987057756539914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404799568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42557806,0.0012489484,0.48802716,0.00095954357,0.00016448999,0.00020200573,0.0010288894,0.0008865361,0.081904404],"genre_scores_gemma":[0.9875515,0.00034410696,0.0041490993,0.00003515421,0.000013134279,0.00007490287,0.00014110286,0.000022319797,0.007668778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998504,0.000040790965,0.0000075911207,0.00003424164,0.000034756955,0.000032097818],"domain_scores_gemma":[0.9998915,0.000031115524,0.000024067751,0.000009027404,0.00003213243,0.000012034031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023881708,0.0007296556,0.00067952776,0.0003530762,0.0005733595,0.0015764701,0.0010085683,0.00084914244,0.0021737462],"category_scores_gemma":[0.00030757618,0.00032748625,0.0008159163,0.00046020214,0.0005778216,0.0006838562,0.0007327156,0.00053961255,0.00028819675],"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":[0.00001778702,0.00000857864,0.00040117916,0.000016870119,0.000011607064,0.00007635084,0.000019473131,0.9961278,0.0005545411,0.0016040067,0.00014977652,0.0010121372],"study_design_scores_gemma":[0.0000028533018,0.000012375423,0.00018126213,0.0000023297257,0.0000051802795,0.0000070352366,0.000019294195,0.9991373,0.00008846133,0.0003245442,0.0002167581,0.00000255373],"about_ca_topic_score_codex":0.04959428,"about_ca_topic_score_gemma":0.034303967,"teacher_disagreement_score":0.04959428,"about_ca_system_score_codex":0.0012892374,"about_ca_system_score_gemma":0.001320962,"threshold_uncertainty_score":0.098611236},"labels":[],"label_agreement":null},{"id":"W4404916739","doi":"10.1109/icpsasia61913.2024.10761246","title":"A Novel Levy-Flight Arithmetic Optimizer for Security Constrained Unit Commitment Problem in Renewable Hybrid Power System for Reliability","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; University of Calgary","funders":"","keywords":"Power system simulation; Reliability (semiconductor); Computer science; Lévy flight; Mathematical optimization; Renewable energy; Power (physics); Arithmetic; Electric power system; Mathematics; Engineering; Electrical engineering","score_opus":0.008009045140378429,"score_gpt":0.21485693601042166,"score_spread":0.20684789087004324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404916739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052922435,0.0005989183,0.93962634,0.0003387842,0.00007571191,0.00008398971,0.0000586671,0.0003078143,0.005987324],"genre_scores_gemma":[0.82496566,0.00029719144,0.1701783,0.00016840211,0.00006019619,0.00019408566,0.00015513101,0.000060991322,0.003920068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975485,0.00008838653,0.000014040774,0.000041361745,0.00006519552,0.00003612056],"domain_scores_gemma":[0.9997372,0.00012969837,0.000032135344,0.000011497045,0.00006770471,0.000021678103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076257,0.0006335812,0.000855802,0.00034071086,0.00029194148,0.00065682275,0.0006438623,0.0007634938,0.002135669],"category_scores_gemma":[0.0009416999,0.00025943763,0.0005276934,0.00044622284,0.00035239273,0.00044602892,0.0005209856,0.0008555757,0.0002434628],"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":[0.000040960374,0.000029872148,0.00026302398,0.00004997708,0.00002995265,0.00004994401,0.0000230532,0.968192,0.0013119,0.0033998124,0.00087700924,0.025732605],"study_design_scores_gemma":[0.0000063897064,0.000032471646,0.000044442695,0.0000027246006,0.000003315448,0.000009415102,0.000003598432,0.99909914,0.00014219763,0.00048164444,0.00017242215,0.0000022374004],"about_ca_topic_score_codex":0.004226423,"about_ca_topic_score_gemma":0.0031582324,"teacher_disagreement_score":0.004226423,"about_ca_system_score_codex":0.0004212792,"about_ca_system_score_gemma":0.0009433905,"threshold_uncertainty_score":0.008403659},"labels":[],"label_agreement":null},{"id":"W4404983576","doi":"10.1080/03155986.2025.2463189","title":"Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Reduction (mathematics); Dynamic pricing; Electric vehicle; Automotive engineering; Power (physics); Business; Computer science; Economics; Microeconomics; Mathematics; Engineering; Physics","score_opus":0.00936009289358278,"score_gpt":0.2651277052214923,"score_spread":0.2557676123279095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404983576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12471863,0.0003733652,0.8615381,0.00097584917,0.0000623966,0.00009607338,0.00019074958,0.00012739774,0.011917433],"genre_scores_gemma":[0.9557408,0.00021377981,0.039746236,0.00009692927,0.00002737561,0.00006643066,0.00009907696,0.00003998466,0.003969416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990508,0.00049493223,0.000023949788,0.00013042359,0.000099965386,0.00019994726],"domain_scores_gemma":[0.9986589,0.0008112687,0.00018418803,0.00007563201,0.00016411218,0.000105848194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013137207,0.0009803254,0.0014670583,0.00038529994,0.0003835632,0.0019736672,0.0016047201,0.0014485209,0.0031244743],"category_scores_gemma":[0.0051189037,0.0008024995,0.00083259493,0.0009537939,0.0010804696,0.0021483544,0.0013916907,0.0014168863,0.00026511247],"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":[0.000039092214,0.000040748135,0.00020529029,0.000022276176,0.000014929708,0.0000420896,0.00002147546,0.9838305,0.0002101173,0.012849911,0.00027418058,0.0024493807],"study_design_scores_gemma":[0.000009371911,0.00001540156,0.00004012413,0.000002043597,0.0000047021636,0.0000056391955,0.000016797103,0.99301565,0.00007002906,0.006678569,0.00013835044,0.00000333881],"about_ca_topic_score_codex":0.007382188,"about_ca_topic_score_gemma":0.0043387716,"teacher_disagreement_score":0.007382188,"about_ca_system_score_codex":0.0017679764,"about_ca_system_score_gemma":0.0013396855,"threshold_uncertainty_score":0.014678419},"labels":[],"label_agreement":null},{"id":"W4405092735","doi":"10.1109/tte.2024.3512370","title":"Optimal Deployment of Overhead Catenary Charging for Electric Bus Transit Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catenary; Software deployment; Overhead (engineering); Transit (satellite); Computer science; Automotive engineering; Engineering; Electrical engineering; Transport engineering; Public transport; Structural engineering; Operating system","score_opus":0.008749236697351179,"score_gpt":0.21523039959202292,"score_spread":0.20648116289467175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405092735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53491116,0.001223802,0.39879182,0.0014707039,0.00018673166,0.00042901046,0.0010536278,0.0005408787,0.061392345],"genre_scores_gemma":[0.9906613,0.00017346101,0.005925728,0.000027671143,0.0000070648775,0.000030865005,0.00008837926,0.000030985808,0.003054485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995845,0.00015885898,0.000009032864,0.00005496694,0.00005385913,0.0001388103],"domain_scores_gemma":[0.9996952,0.00012619287,0.000046552068,0.000017957607,0.00006441369,0.000049565857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058491743,0.0010175195,0.0008834057,0.00050119957,0.00061263226,0.0014591056,0.0008208131,0.0010174782,0.0044362117],"category_scores_gemma":[0.0015544757,0.0007286873,0.00056631403,0.0007397457,0.0006300942,0.001406209,0.0008768523,0.00082693814,0.00028258475],"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":[0.000047190642,0.00001689336,0.00030267885,0.000025740484,0.000008086544,0.000041691495,0.000010835863,0.9943288,0.000417643,0.0018709671,0.00044807495,0.0024812978],"study_design_scores_gemma":[0.000010269148,0.000041577245,0.0003182973,0.000005539885,0.000010930075,0.000013788977,0.000047984355,0.997552,0.00022860573,0.001270651,0.0004953987,0.0000048787033],"about_ca_topic_score_codex":0.022325357,"about_ca_topic_score_gemma":0.022186613,"teacher_disagreement_score":0.022325357,"about_ca_system_score_codex":0.002752674,"about_ca_system_score_gemma":0.0019211163,"threshold_uncertainty_score":0.044390857},"labels":[],"label_agreement":null},{"id":"W4405107939","doi":"10.3390/app142311389","title":"Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Peak load; Electric vehicle; Occupancy; Incentive; Automotive engineering; Computer science; Environmental science; Power (physics); Engineering; Economics; Civil engineering","score_opus":0.018039869533753316,"score_gpt":0.22161337342374432,"score_spread":0.20357350388999101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405107939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864429,0.0002933459,0.0063626696,0.00032602146,0.000020248512,0.00003314875,0.0024857605,0.00020286716,0.0038330206],"genre_scores_gemma":[0.9923003,0.00013454017,0.0025012014,0.00001972272,0.0000051238544,0.00000918072,0.0030881977,0.000016074724,0.0019257044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998512,0.000013168645,0.000006994935,0.000036026606,0.00003602001,0.000056486573],"domain_scores_gemma":[0.999721,0.000047825164,0.000012864824,0.000013720235,0.00017871664,0.000025788866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028805638,0.0005960893,0.00042862195,0.00092692865,0.000844031,0.00081479474,0.0010780653,0.00041023837,0.0013684859],"category_scores_gemma":[0.00082479377,0.00025878838,0.00071623817,0.0014096193,0.00025510928,0.00042846528,0.00034763536,0.0005400793,0.00025764064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026243983,0.00021943754,0.12503931,0.00009080938,0.00011504566,0.00032670167,0.00021180122,0.8165573,0.001068444,0.0018465202,0.0065308562,0.0477314],"study_design_scores_gemma":[0.0000048522775,0.000005958206,0.012564762,0.000003737764,0.000010797574,0.0000074346367,0.0001543789,0.9863955,0.00020521261,0.00014476605,0.00049222994,0.000010390919],"about_ca_topic_score_codex":0.96407783,"about_ca_topic_score_gemma":0.9632438,"teacher_disagreement_score":0.03592217,"about_ca_system_score_codex":0.0089654345,"about_ca_system_score_gemma":0.0058019185,"threshold_uncertainty_score":0.07226741},"labels":[],"label_agreement":null},{"id":"W4405152471","doi":"10.1016/j.energy.2024.134089","title":"Scheduling of futuristic railway microgrids—A FRA-pruned twins-actor DDPG approach","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Strategic Innovation Fund","keywords":"Scheduling (production processes); Computer science; Engineering; Operations management","score_opus":0.004869440804140447,"score_gpt":0.1862305549387523,"score_spread":0.18136111413461184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405152471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06828603,0.00041531702,0.9174443,0.0004077669,0.00013999522,0.000105979525,0.00023242514,0.00073290087,0.012235319],"genre_scores_gemma":[0.81257766,0.00024423224,0.18038264,0.0001442081,0.000049517865,0.000076156444,0.00040817543,0.00024519797,0.005872171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958247,0.0001284971,0.000013818561,0.00010288329,0.00006484487,0.00010745779],"domain_scores_gemma":[0.9995215,0.00020340997,0.000041905227,0.00007680489,0.000070436654,0.000085992055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064893084,0.0007690928,0.0009699769,0.00052213576,0.00068051217,0.0008831103,0.0016344268,0.0008808467,0.0048001166],"category_scores_gemma":[0.0014870996,0.0005298902,0.00064884924,0.0006331513,0.0005048265,0.0010474309,0.0014622333,0.0009430396,0.00046623676],"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":[0.00012468242,0.00004282208,0.0004240001,0.00006772792,0.00003742928,0.00016212382,0.00009329426,0.95996046,0.0017646811,0.008461793,0.0013788937,0.027482113],"study_design_scores_gemma":[0.000009522503,0.00002569789,0.00008982944,0.0000062836143,0.000011371734,0.00001827286,0.000039393606,0.99374324,0.0003595428,0.00472965,0.00096374354,0.0000034783784],"about_ca_topic_score_codex":0.0069697173,"about_ca_topic_score_gemma":0.009449023,"teacher_disagreement_score":0.0069697173,"about_ca_system_score_codex":0.00059964927,"about_ca_system_score_gemma":0.0011194017,"threshold_uncertainty_score":0.016057968},"labels":[],"label_agreement":null},{"id":"W4405231849","doi":"10.2139/ssrn.5051579","title":"Enhancing Electric Vehicle Charging Infrastructure: A Framework for Efficient Charging Point Management","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Point (geometry); Computer science; Business; Physics; Power (physics)","score_opus":0.003706797398763265,"score_gpt":0.21553529068488453,"score_spread":0.21182849328612127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405231849","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005690512,0.00017039395,0.98397774,0.00029181858,0.00006277895,0.00009867667,0.0001035672,0.0017210526,0.007883401],"genre_scores_gemma":[0.6176928,0.0006781614,0.37124473,0.00012022092,0.00011121406,0.00017099048,0.00041291732,0.00030624482,0.009262683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999283,0.00015413562,0.0000335002,0.0001257397,0.00025625396,0.00014739457],"domain_scores_gemma":[0.9995797,0.00007670864,0.00004126838,0.00012166963,0.00012216611,0.00005848963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000895546,0.0006782602,0.00050429726,0.0007057573,0.0006290016,0.0025741165,0.0021698992,0.001070309,0.0044313204],"category_scores_gemma":[0.0016202095,0.00034807442,0.0006506172,0.000832085,0.00065254717,0.0024227765,0.002550648,0.001450173,0.0011386062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013528844,0.00018759008,0.0011023682,0.00022518517,0.00006268153,0.00031257246,0.000283432,0.44644433,0.0102362875,0.36929637,0.009527596,0.16218631],"study_design_scores_gemma":[0.000021688558,0.000058480862,0.00023460171,0.000036231064,0.00003287062,0.00012599093,0.00008851222,0.8778483,0.0049474295,0.0881204,0.028460678,0.000024737714],"about_ca_topic_score_codex":0.0035521649,"about_ca_topic_score_gemma":0.0042374646,"teacher_disagreement_score":0.0044313204,"about_ca_system_score_codex":0.0009740216,"about_ca_system_score_gemma":0.0017088351,"threshold_uncertainty_score":0.014824212},"labels":[],"label_agreement":null},{"id":"W4405281412","doi":"10.1016/j.trd.2024.104555","title":"Uncovering factors affecting consumers’ decisions for pre-owned electric vehicles","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Transport engineering; Engineering","score_opus":0.027187816173765353,"score_gpt":0.2810570718508097,"score_spread":0.2538692556770443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405281412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993742,0.00001246469,0.00012217944,0.00003456499,8.193037e-7,0.000007358019,0.000033220193,6.3262536e-7,0.00041459044],"genre_scores_gemma":[0.99953306,0.000015761108,0.00012285744,0.000007963513,8.640984e-7,0.0000046838113,0.000051612882,5.677341e-7,0.00026278288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957675,0.00017021444,0.000025240397,0.00006727558,0.00007390757,0.000086605854],"domain_scores_gemma":[0.9969664,0.001992673,0.00043843157,0.00014214547,0.0002887498,0.00017156452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009460241,0.00016971811,0.00014649608,0.00037793073,0.00034267904,0.0012389348,0.00019372121,0.00041817594,0.0031648322],"category_scores_gemma":[0.0040034195,0.00015932944,0.00056451623,0.0004396637,0.00037237667,0.0008099141,0.00040104915,0.00055498775,0.00031763472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002265054,0.00033328065,0.9857032,0.000025033694,0.000049497183,0.00010800987,0.0034300005,0.0003737726,0.0006744349,0.000529818,0.00014383039,0.008402777],"study_design_scores_gemma":[0.000008612522,0.00019481767,0.97877854,0.000017935083,0.000050395687,0.00006842123,0.01456934,0.004314405,0.0004979077,0.0007411251,0.0007412651,0.000017278802],"about_ca_topic_score_codex":0.010174051,"about_ca_topic_score_gemma":0.017359259,"teacher_disagreement_score":0.010174051,"about_ca_system_score_codex":0.00052149856,"about_ca_system_score_gemma":0.00054985983,"threshold_uncertainty_score":0.020229638},"labels":[],"label_agreement":null},{"id":"W4405290020","doi":"10.2139/ssrn.5052184","title":"Electric Vehicle Charging Decisions with Travel Distance: Novel Clustering Algorithm Integrating Spatial-Temporal Charging and Trip Data","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Electric vehicle; Computer science; Algorithm; Data mining; Travel time; Transport engineering; Engineering; Artificial intelligence","score_opus":0.012152853065537605,"score_gpt":0.23364096132400902,"score_spread":0.22148810825847143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405290020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06764108,0.0005808968,0.9269883,0.00039762148,0.0001856833,0.00013267466,0.0003529167,0.0010199297,0.0027008904],"genre_scores_gemma":[0.624739,0.0003431332,0.3686423,0.00018074368,0.00022386803,0.0001563845,0.0010183955,0.00011808823,0.004578025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993942,0.00009778056,0.000047490885,0.00021084155,0.00017000944,0.00007964733],"domain_scores_gemma":[0.99913424,0.00025725173,0.000090231275,0.00010280225,0.00034442078,0.00007104462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150191,0.00075193995,0.0014102241,0.0010983386,0.0006358069,0.0011332494,0.0025629667,0.0012791412,0.0011443839],"category_scores_gemma":[0.002437346,0.00049149996,0.0007631406,0.0024366179,0.00031516363,0.00126871,0.00095647253,0.00082731724,0.0005981618],"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":[0.0003944551,0.0003548217,0.004793935,0.00009220559,0.0002405096,0.000054371943,0.00009155377,0.6598291,0.0037894638,0.0028862683,0.0047853473,0.32268798],"study_design_scores_gemma":[0.000011405149,0.000018962437,0.00045969876,0.0000031185234,0.000015658141,0.000019557692,0.000013963729,0.9978521,0.0005293735,0.0007146008,0.00035442028,0.0000072124117],"about_ca_topic_score_codex":0.015112981,"about_ca_topic_score_gemma":0.019597784,"teacher_disagreement_score":0.015112981,"about_ca_system_score_codex":0.0010559441,"about_ca_system_score_gemma":0.0019218635,"threshold_uncertainty_score":0.03005004},"labels":[],"label_agreement":null},{"id":"W4405466936","doi":"10.1016/j.ijhydene.2024.12.120","title":"Optimal scheduling and routing for integrated power-hydrogen systems in day-ahead energy and flexible ramp product markets","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Mathematical optimization; Mathematics","score_opus":0.005931808413887083,"score_gpt":0.22341065231494694,"score_spread":0.21747884390105987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405466936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50212115,0.0014050996,0.4700751,0.0013454838,0.00029566648,0.00044471823,0.001369156,0.0004386207,0.022504916],"genre_scores_gemma":[0.9701942,0.0002091935,0.02458242,0.00005121264,0.000033854103,0.00005958564,0.00023373439,0.00006305266,0.004572702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946827,0.00018093179,0.000016680406,0.00010659615,0.000055030512,0.00017247861],"domain_scores_gemma":[0.99859613,0.00091574946,0.00016918624,0.000039004084,0.00013291136,0.00014694894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011686176,0.0010368016,0.0016750124,0.00063427957,0.00086446985,0.001971708,0.0013214238,0.0011120181,0.00692237],"category_scores_gemma":[0.0025372414,0.0010622921,0.00070733996,0.001026019,0.00082140265,0.0014526595,0.00070739153,0.0009943041,0.00034712403],"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":[0.0001016907,0.000027269032,0.00015657116,0.000023268207,0.000014092761,0.000029333569,0.000013612112,0.99349546,0.0003081163,0.0022445908,0.0005332662,0.0030526635],"study_design_scores_gemma":[0.000012188795,0.00002937616,0.000113873764,0.00000173524,0.0000056491476,0.00000582652,0.000017837721,0.99775714,0.000095325646,0.0018507129,0.00010688985,0.0000035436053],"about_ca_topic_score_codex":0.015473654,"about_ca_topic_score_gemma":0.018340345,"teacher_disagreement_score":0.015473654,"about_ca_system_score_codex":0.00215396,"about_ca_system_score_gemma":0.0019984543,"threshold_uncertainty_score":0.030767202},"labels":[],"label_agreement":null},{"id":"W4405743998","doi":"10.1016/j.apenergy.2024.125137","title":"Electric bus fleet charging management: A robust optimisation framework addressing battery ageing, time-of-use tariffs, and energy consumption uncertainty","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Battery (electricity); Consumption (sociology); Fleet management; Electric vehicle; Automotive engineering; Energy consumption; Energy management; Battery electric vehicle; Environmental economics; Engineering; Business; Computer science; Energy (signal processing); Economics; Transport engineering; Electrical engineering","score_opus":0.010106021098245453,"score_gpt":0.19854899700924902,"score_spread":0.18844297591100356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405743998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019570487,0.00066681765,0.9669521,0.0005829061,0.00006609691,0.00006673205,0.00029539186,0.0002813149,0.011518181],"genre_scores_gemma":[0.9392856,0.00066704827,0.05181199,0.00014400487,0.000086442604,0.00020852793,0.0003847175,0.00011803434,0.007293752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994336,0.00022077623,0.000020477051,0.00010657852,0.00011888333,0.00009964602],"domain_scores_gemma":[0.99937624,0.000354639,0.000095476054,0.000032877004,0.00010350869,0.00003733256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011644945,0.0014364566,0.0012240887,0.0005224882,0.0003637749,0.0020068532,0.0011972049,0.0017310765,0.0026941525],"category_scores_gemma":[0.0023220752,0.0006336817,0.0014121345,0.00072437455,0.00075483497,0.0008539521,0.0013353513,0.0014726004,0.0003487171],"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":[0.0000072372677,0.000004845956,0.000060343216,0.000014718898,0.000011422744,0.000021522828,0.0000067789847,0.99622464,0.00012693887,0.0020188936,0.0001410563,0.0013615801],"study_design_scores_gemma":[0.00000396541,0.000009952852,0.00006361348,0.0000042626543,0.0000054349644,0.0000059332265,0.0000056269078,0.9981243,0.000048392965,0.0014276261,0.0002971896,0.0000037561801],"about_ca_topic_score_codex":0.014268246,"about_ca_topic_score_gemma":0.0066418806,"teacher_disagreement_score":0.014268246,"about_ca_system_score_codex":0.0010306921,"about_ca_system_score_gemma":0.0017311407,"threshold_uncertainty_score":0.02837038},"labels":[],"label_agreement":null},{"id":"W4405845969","doi":"10.1109/repe62578.2024.10809879","title":"Optimal Pricing Model for Electric Vehicle Charging Stations Considering Competition","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Competition (biology); Electric vehicle; Computer science; Automotive engineering; Engineering; Power (physics); Physics","score_opus":0.010234193610296446,"score_gpt":0.22222879199606693,"score_spread":0.21199459838577048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405845969","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06709634,0.0014005338,0.8714353,0.002211598,0.00038786614,0.00020350727,0.00069753546,0.00029664912,0.056270566],"genre_scores_gemma":[0.9372288,0.00088911515,0.026428262,0.00023871902,0.0001308287,0.00023519898,0.00027280382,0.000105023595,0.03447129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992337,0.00027428538,0.000025328849,0.00012236724,0.00013408509,0.00021013888],"domain_scores_gemma":[0.99919695,0.00040726946,0.0000722709,0.000026954176,0.00021188268,0.00008464124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012452162,0.0012622386,0.0020431827,0.00072790124,0.0008012368,0.0030241653,0.0029989947,0.003027275,0.010249714],"category_scores_gemma":[0.0024461965,0.0011420617,0.0014783997,0.0012976305,0.0012409006,0.0019125119,0.0012002456,0.002197783,0.00087193254],"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":[0.00003702878,0.000024767964,0.00015914925,0.000028177185,0.0000131994675,0.00009225024,0.000024033627,0.9791597,0.0002499563,0.017363211,0.00084565824,0.0020028234],"study_design_scores_gemma":[0.000009598472,0.0000084122,0.00004488161,0.0000031245982,0.0000057869224,0.000008584312,0.000012609664,0.996412,0.00002938029,0.003165873,0.00029465547,0.000005057485],"about_ca_topic_score_codex":0.023670757,"about_ca_topic_score_gemma":0.013772878,"teacher_disagreement_score":0.023670757,"about_ca_system_score_codex":0.0029249485,"about_ca_system_score_gemma":0.0027135683,"threshold_uncertainty_score":0.047065973},"labels":[],"label_agreement":null},{"id":"W4405922505","doi":"10.1016/j.cie.2024.110839","title":"A multi-state model for the service quality evaluation of an electric vehicle charging network via universal generating function","year":2024,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Electric vehicle; State (computer science); Function (biology); Service (business); Automotive engineering; Quality (philosophy); Service quality; Computer science; Engineering; Reliability engineering; Business; Algorithm; Physics","score_opus":0.04959162082779138,"score_gpt":0.25622510119173003,"score_spread":0.20663348036393864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405922505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04491382,0.00022508291,0.9467164,0.00029095245,0.00004116395,0.000056337685,0.00019036504,0.00041514292,0.00715074],"genre_scores_gemma":[0.9819626,0.00013752434,0.012765678,0.000043773325,0.000019451749,0.00008560337,0.000122835,0.000049094397,0.0048135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937004,0.00026647598,0.00002254516,0.00011408787,0.00013071536,0.00009616273],"domain_scores_gemma":[0.9991936,0.000493363,0.00007924861,0.000036071444,0.00017292792,0.000024779838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013738967,0.0008803768,0.0013324439,0.00063696835,0.0005626946,0.0014265684,0.0014696374,0.0012139186,0.0034864182],"category_scores_gemma":[0.0022030764,0.00045801568,0.0008998751,0.0006670738,0.0009268492,0.0013584094,0.00074402045,0.0013253051,0.00032660263],"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":[0.00001714295,0.0000068493396,0.00007959688,0.000011028207,0.000008132358,0.000019630717,0.000016679149,0.9927785,0.00019169308,0.00530174,0.00009800291,0.0014710639],"study_design_scores_gemma":[0.0000019425368,0.00000343645,0.000023429828,0.0000012303788,0.0000027156261,0.0000016007973,0.0000014309279,0.9992205,0.00003618543,0.00066498184,0.000041166688,0.0000014202825],"about_ca_topic_score_codex":0.02498924,"about_ca_topic_score_gemma":0.014304003,"teacher_disagreement_score":0.02498924,"about_ca_system_score_codex":0.0017905725,"about_ca_system_score_gemma":0.0011569544,"threshold_uncertainty_score":0.049687564},"labels":[],"label_agreement":null},{"id":"W4405937880","doi":"10.1109/iccais63750.2024.10814414","title":"An Integrated Optimization-MCDA Framework for Efficient Electric Bus System Planning","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 de Sherbrooke","funders":"","keywords":"Multiple-criteria decision analysis; Computer science; Systems engineering; Operations research; Engineering","score_opus":0.004925712568826421,"score_gpt":0.22373228235174097,"score_spread":0.21880656978291455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405937880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038676409,0.00043051058,0.988186,0.00039980613,0.000037120633,0.00011484406,0.00025502848,0.00015153576,0.0065574576],"genre_scores_gemma":[0.2763366,0.0006363095,0.7190991,0.00013265514,0.00005146457,0.00044446415,0.0004194809,0.0000783079,0.0028016341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886656,0.0006198856,0.000049842703,0.000115019255,0.00024816926,0.000100526915],"domain_scores_gemma":[0.9989447,0.000674697,0.00007752592,0.000040292318,0.0001977746,0.00006495769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022520015,0.0011988648,0.0014102592,0.0015118036,0.0007228908,0.0018144111,0.0017608461,0.0012179073,0.0046609202],"category_scores_gemma":[0.0032494352,0.0008489245,0.00095600553,0.0023926948,0.0008216458,0.0009096174,0.0017365391,0.0014911998,0.00042575834],"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":[0.000013796799,0.000023850647,0.00019191409,0.00005917121,0.00002630998,0.000039958322,0.000025219912,0.9665864,0.00017215806,0.020957325,0.0007235431,0.011180361],"study_design_scores_gemma":[0.000007147823,0.000009228559,0.000050058068,0.000011596564,0.00000597219,0.0000073879673,0.000016196935,0.9881214,0.00006521335,0.01042355,0.0012776956,0.0000046933956],"about_ca_topic_score_codex":0.027182544,"about_ca_topic_score_gemma":0.03651197,"teacher_disagreement_score":0.027182544,"about_ca_system_score_codex":0.0020536557,"about_ca_system_score_gemma":0.0037229697,"threshold_uncertainty_score":0.054048657},"labels":[],"label_agreement":null},{"id":"W4406070924","doi":"10.1016/j.est.2024.115171","title":"Stochastic economic sizing of hydrogen storage-based renewable off-grid system with smart charge of electric vehicles according to combined hydrogen and power model","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Sizing; Renewable energy; Hydrogen storage; Smart grid; Automotive engineering; Grid; Electric power system; Hydrogen; Computer science; Power to gas; Power grid; Power (physics); Electrical engineering; Engineering; Environmental economics; Economics; Chemistry; Physics","score_opus":0.0036498503853109304,"score_gpt":0.1771179934738958,"score_spread":0.17346814308858488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406070924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4781212,0.000947451,0.49197203,0.0014245303,0.00035721523,0.00030974514,0.0011212563,0.0003929443,0.025353666],"genre_scores_gemma":[0.996027,0.00006595344,0.001701966,0.000025246698,0.000018908613,0.000029568106,0.00007499521,0.000010348218,0.0020460214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931896,0.00021376066,0.000034386918,0.00012889862,0.00013429079,0.00016973243],"domain_scores_gemma":[0.99900013,0.00050965836,0.0001593284,0.0000435526,0.00019354375,0.00009376273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094657816,0.00083606323,0.0019195416,0.0004652168,0.00050056627,0.0015376045,0.0012763366,0.0010990687,0.0040249797],"category_scores_gemma":[0.0016065149,0.0008082222,0.00089094124,0.00057128165,0.0007439343,0.0011195659,0.0006946933,0.00081644906,0.00020063843],"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":[0.000060310635,0.000012541945,0.00023002738,0.00001663948,0.000021343074,0.000048243906,0.0000057078664,0.9962937,0.00028948855,0.0018611687,0.00021065662,0.00095016824],"study_design_scores_gemma":[0.0000068843387,0.000011638175,0.00015758748,0.0000011821015,0.0000064628725,0.0000045799393,0.000004565405,0.99923885,0.000048108373,0.00048153198,0.000036257523,0.0000023258751],"about_ca_topic_score_codex":0.013671785,"about_ca_topic_score_gemma":0.014964402,"teacher_disagreement_score":0.013671785,"about_ca_system_score_codex":0.0016384451,"about_ca_system_score_gemma":0.00136521,"threshold_uncertainty_score":0.027184427},"labels":[],"label_agreement":null},{"id":"W4406071802","doi":"10.1016/j.decarb.2024.100096","title":"Evaluating the economic and carbon emission reduction potential of fuel cell electric vehicle-to-grid","year":2025,"lang":"en","type":"article","venue":"DeCarbon","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Reduction (mathematics); Fuel cells; Grid; Carbon fibers; Electric vehicle; Automotive engineering; Environmental science; Environmental economics; Business; Natural resource economics; Computer science; Engineering; Economics; Power (physics); Physics; Geography; Mathematics","score_opus":0.005469742984743436,"score_gpt":0.2331517331479994,"score_spread":0.22768199016325597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406071802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96773595,0.0003950563,0.009218876,0.00022005838,0.000028789062,0.0001341833,0.0007893994,0.00008312368,0.021394389],"genre_scores_gemma":[0.9963252,0.00011774066,0.0019426886,0.000010504073,0.0000028832999,0.000023320377,0.0002131955,0.0000070760834,0.0013573525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996458,0.00011551368,0.000009321352,0.000034219713,0.00008937065,0.00010580064],"domain_scores_gemma":[0.99907947,0.0005812905,0.000058429036,0.000037124173,0.00019023343,0.000053399395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009117454,0.001038264,0.00057374075,0.0009483466,0.00043011078,0.0011852075,0.0008258955,0.0008785111,0.0021535207],"category_scores_gemma":[0.0017221686,0.00035388803,0.0006896027,0.0013044832,0.00038344273,0.0009893487,0.00046098762,0.00062503864,0.0001602595],"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":[0.00015811496,0.00010430797,0.0026900738,0.000060786675,0.00003199899,0.0001217247,0.0000079406345,0.99041754,0.00077809027,0.0012548462,0.0002666464,0.0041079777],"study_design_scores_gemma":[0.00001748107,0.0002410687,0.0020106616,0.000007684951,0.000032898955,0.000012483534,0.000061813334,0.9957695,0.001040157,0.00046105488,0.0003359648,0.000009331074],"about_ca_topic_score_codex":0.08348597,"about_ca_topic_score_gemma":0.07824527,"teacher_disagreement_score":0.08348597,"about_ca_system_score_codex":0.004279397,"about_ca_system_score_gemma":0.0018007734,"threshold_uncertainty_score":0.16600001},"labels":[],"label_agreement":null},{"id":"W4406071987","doi":"10.1016/j.geits.2025.100255","title":"Understanding spatial–temporal attributes influencing electric vehicle's charging stations utilization: A multi-city study","year":2025,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Transport engineering; Computer science; Environmental science; Engineering","score_opus":0.054601886972714134,"score_gpt":0.2518051142027977,"score_spread":0.1972032272300836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406071987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99917966,0.00007106682,0.00017270399,0.00004217651,0.0000032800754,0.000015665655,0.00024002054,0.0000017597711,0.0002736505],"genre_scores_gemma":[0.99892956,0.000117421005,0.00023225647,0.00002598857,0.0000045363327,0.000024777732,0.00038610882,0.0000033967078,0.0002758932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878544,0.000366281,0.00010172983,0.00021053635,0.00020788261,0.0003281969],"domain_scores_gemma":[0.99639446,0.0009883018,0.0010636743,0.00031747285,0.0007674459,0.00046868288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018625674,0.00039701172,0.0005386388,0.0014491156,0.0013156591,0.002122646,0.000888924,0.00061030546,0.0021989755],"category_scores_gemma":[0.0042023216,0.00050149707,0.001922685,0.0034227774,0.00060479756,0.0014581423,0.0015284895,0.00081181177,0.00039298713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005820118,0.00011497193,0.9952024,0.000023567085,0.00013357661,0.00016932318,0.001683245,0.0002169776,0.0000965963,0.000076743694,0.00016532828,0.0020589302],"study_design_scores_gemma":[0.0000044167696,0.000093508505,0.9892314,0.000024625555,0.00010648344,0.000101712496,0.00882994,0.0009166154,0.00005071983,0.000045161643,0.00057872356,0.000016668015],"about_ca_topic_score_codex":0.18780248,"about_ca_topic_score_gemma":0.28991923,"teacher_disagreement_score":0.18780248,"about_ca_system_score_codex":0.0020765935,"about_ca_system_score_gemma":0.0020822512,"threshold_uncertainty_score":0.37341875},"labels":[],"label_agreement":null},{"id":"W4406105444","doi":"10.18280/jesa.570630","title":"Optimizing Electric Mobility: A Multi-Criteria Decision-Making Approach for Sustainable Future of Electric Vehicles Through Smart Motor Choices","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric motor; Electric vehicle; Computer science; Business; Engineering; Electrical engineering; Physics","score_opus":0.01112726164155022,"score_gpt":0.25774089091415103,"score_spread":0.2466136292726008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406105444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09249423,0.0010781295,0.88533354,0.0015043083,0.00015186558,0.00052796217,0.00035561994,0.00017186564,0.018382438],"genre_scores_gemma":[0.8811743,0.00045144022,0.11372894,0.00014098658,0.000063041974,0.00038266697,0.00017145053,0.000044815803,0.0038423522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747914,0.0014849069,0.00009497518,0.0003069429,0.00035920937,0.00027473178],"domain_scores_gemma":[0.997497,0.0016903832,0.00022845999,0.000056740933,0.0003181508,0.00020925536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044642263,0.0020116034,0.0024211097,0.0023161615,0.00086500787,0.0034374862,0.0022740632,0.0028814028,0.004802885],"category_scores_gemma":[0.005335213,0.0009175958,0.001985699,0.0018026883,0.001055208,0.002394479,0.00212372,0.0017163197,0.0002819448],"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":[0.00008643732,0.000106443484,0.0004947331,0.00012430745,0.00013514928,0.000101148216,0.00008913709,0.9747761,0.00043002528,0.0110634705,0.00047462154,0.01211843],"study_design_scores_gemma":[0.000028248069,0.00011473312,0.00021743159,0.00004454432,0.00005123144,0.000014688401,0.00009277815,0.9884741,0.00019705958,0.009949691,0.00079379574,0.000021683965],"about_ca_topic_score_codex":0.00823482,"about_ca_topic_score_gemma":0.00870672,"teacher_disagreement_score":0.00823482,"about_ca_system_score_codex":0.0025032072,"about_ca_system_score_gemma":0.0034118223,"threshold_uncertainty_score":0.02360934},"labels":[],"label_agreement":null},{"id":"W4406195948","doi":"10.1016/j.trpro.2024.12.190","title":"Econometric Modelling Approach to Explore the EV Adoption and Charging Opportunities at Workplace","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Generalitat de Catalunya","keywords":"Econometric model; Econometrics; Economics; Computer science; Business","score_opus":0.12036707974778027,"score_gpt":0.29876819191796883,"score_spread":0.17840111217018856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3762414,0.002072507,0.56418264,0.0045433645,0.00036945342,0.00066647446,0.008236222,0.0006702463,0.043017663],"genre_scores_gemma":[0.9263944,0.0019309694,0.047124304,0.000252536,0.00015348011,0.00079034397,0.0028567556,0.000050883482,0.020446388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988851,0.0006618184,0.000059469385,0.00010224109,0.00011127351,0.00018022778],"domain_scores_gemma":[0.9954894,0.0038007768,0.00035136088,0.00009967127,0.00018957155,0.00006928716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019374358,0.00056976505,0.00085571356,0.0017207216,0.00041906544,0.0014345195,0.0009603839,0.0016159058,0.011899857],"category_scores_gemma":[0.0065058134,0.00031773225,0.0013660879,0.0032944838,0.00031249065,0.0007909894,0.0008369715,0.0018671989,0.0015273417],"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":[0.0002328105,0.0010318537,0.14480114,0.00065326644,0.0008983751,0.0012358131,0.0012309388,0.55520403,0.001015326,0.1772886,0.013207872,0.10320002],"study_design_scores_gemma":[0.00006911467,0.00033516932,0.020207059,0.000090916605,0.00015468136,0.00015072727,0.0020616686,0.92906284,0.00033054783,0.03360885,0.013870983,0.00005734694],"about_ca_topic_score_codex":0.023293719,"about_ca_topic_score_gemma":0.016592735,"teacher_disagreement_score":0.023293719,"about_ca_system_score_codex":0.0011469497,"about_ca_system_score_gemma":0.0016814828,"threshold_uncertainty_score":0.046316326},"labels":[],"label_agreement":null},{"id":"W4406213014","doi":"10.1016/j.mlwa.2025.100620","title":"Multi-agent deep reinforcement learning with online and fair optimal dispatch of EV aggregators","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reinforcement learning; Computer science; Reinforcement; Artificial intelligence; Engineering","score_opus":0.0031177764529146733,"score_gpt":0.2086875150646737,"score_spread":0.20556973861175903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406213014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12625691,0.00042610164,0.86716884,0.0005123744,0.00011698346,0.00007516423,0.000059435086,0.0009115987,0.0044725398],"genre_scores_gemma":[0.97619927,0.000052285865,0.02201756,0.0001048142,0.000019351142,0.00004741435,0.000042807114,0.000019698324,0.0014968222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996455,0.000094131785,0.000017458706,0.00008206163,0.00006798926,0.00009278914],"domain_scores_gemma":[0.9991517,0.00039743996,0.00010801199,0.00006261642,0.00019982638,0.00008035822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010883217,0.000831302,0.00095750374,0.00021623562,0.00034651117,0.00067206006,0.0012293918,0.00079783803,0.0013896927],"category_scores_gemma":[0.0024922132,0.0004143489,0.00036376083,0.0002022858,0.00071213715,0.0006781139,0.0009468438,0.0012550689,0.00020364783],"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":[0.00006349271,0.000052299056,0.00058569206,0.000019993238,0.00001650658,0.00004618678,0.000023494658,0.9815394,0.00056622154,0.0017009844,0.00041082074,0.014974925],"study_design_scores_gemma":[0.0000031007316,0.000007807439,0.000023744555,6.7884076e-7,0.0000012019362,0.0000015186625,0.0000013857216,0.9995479,0.00006176851,0.0003178932,0.00003228083,7.215577e-7],"about_ca_topic_score_codex":0.010996169,"about_ca_topic_score_gemma":0.008980466,"teacher_disagreement_score":0.010996169,"about_ca_system_score_codex":0.00089920475,"about_ca_system_score_gemma":0.0014314327,"threshold_uncertainty_score":0.021864295},"labels":[],"label_agreement":null},{"id":"W4406216411","doi":"10.3390/wevj16010031","title":"Graduate Degree in Electric Vehicles—A Timely Programme for Modern Society","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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":"RWTH Aachen University; Kungliga Tekniska Högskolan; University College London; University of Toronto; Hong Kong Polytechnic University; Lunds Universitet; Durham University; Technische Universität München; KU Leuven; University of Leeds; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; Zhejiang University; Imperial College London; Technische Universiteit Delft; University of Warwick; Tsinghua University; Purdue University","keywords":"Curriculum; Work (physics); Degree program; Engineering management; Graduate degree; Engineering ethics; Degree (music); Medical education; Engineering; Pedagogy; Sociology; Mechanical engineering; Medicine; Physics","score_opus":0.02076430405463242,"score_gpt":0.23889359958072467,"score_spread":0.21812929552609225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406216411","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15553384,0.016129756,0.014495852,0.19322142,0.071270466,0.0013685932,0.0023405675,0.0016494553,0.54399],"genre_scores_gemma":[0.22202821,0.009960439,0.008749919,0.014148885,0.013988232,0.0007640809,0.0013414962,0.00047738483,0.72854143],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892336,0.00014487347,0.000043322583,0.00010543127,0.00048653575,0.00029643218],"domain_scores_gemma":[0.99520564,0.00015330306,0.00020800061,0.00018302308,0.0008540672,0.0033960445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022228083,0.0007499869,0.00072974944,0.0011505126,0.0016959227,0.0036662992,0.00072949706,0.0013756983,0.05261083],"category_scores_gemma":[0.0029044237,0.0002704789,0.00056094676,0.0005299203,0.0009882941,0.0013976564,0.0037391095,0.003271205,0.024777273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017388628,0.0010676386,0.010115321,0.00061914587,0.000014823683,0.00047930973,0.0013648951,0.0004767177,0.0075189755,0.019670133,0.5896334,0.36886573],"study_design_scores_gemma":[0.000030135767,0.0010374737,0.022313654,0.00035139953,0.000007688896,0.0007032637,0.0017360701,0.0004889776,0.001515258,0.0035089853,0.9682871,0.00001998857],"about_ca_topic_score_codex":0.0006167411,"about_ca_topic_score_gemma":0.0015258524,"teacher_disagreement_score":0.05261083,"about_ca_system_score_codex":0.0010731642,"about_ca_system_score_gemma":0.0052598617,"threshold_uncertainty_score":0.17600077},"labels":[],"label_agreement":null},{"id":"W4406233536","doi":"10.19585/j.zjdl.202205002","title":"Research on Coordinated Charging Strategy Considering Load and Cost of Electric Vehicles in a Residential Quarter","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Automotive engineering; Transport engineering; Business; Engineering; Environmental economics; Economics; Geography; Archaeology","score_opus":0.15640999111500595,"score_gpt":0.4885674579925326,"score_spread":0.3321574668775267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406233536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25066316,0.0016083468,0.7165296,0.00084810116,0.00021490442,0.00011746964,0.000114146635,0.0003323664,0.029571852],"genre_scores_gemma":[0.98746294,0.00055222627,0.008594646,0.000032259253,0.000032845415,0.000019641366,0.000034012726,0.000030317427,0.0032411055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994855,0.00014222102,0.000021241867,0.00012277123,0.00010840199,0.000119906326],"domain_scores_gemma":[0.9996284,0.00011632375,0.00004955678,0.00003474825,0.0001283788,0.000042539537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054478337,0.0006066195,0.00074322184,0.0005018483,0.0005693281,0.0015935745,0.0012196271,0.0005742011,0.0021012553],"category_scores_gemma":[0.0012428897,0.0003510878,0.0006741638,0.0011004354,0.00036996577,0.0020729306,0.00051329826,0.00049554964,0.00019739439],"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":[0.00016499852,0.00011829715,0.004313671,0.0001661422,0.000112293994,0.00024592894,0.0001493136,0.896118,0.0044222353,0.03534207,0.0019276352,0.056919504],"study_design_scores_gemma":[0.0000059384697,0.00007137968,0.0009695039,0.000005102587,0.000040638348,0.000082792176,0.0001571527,0.9909797,0.00076454406,0.0059128962,0.0009971843,0.00001315433],"about_ca_topic_score_codex":0.0073167672,"about_ca_topic_score_gemma":0.004835388,"teacher_disagreement_score":0.0073167672,"about_ca_system_score_codex":0.0016475604,"about_ca_system_score_gemma":0.0013354714,"threshold_uncertainty_score":0.014548361},"labels":[],"label_agreement":null},{"id":"W4406322204","doi":"10.1109/tte.2025.3529346","title":"Optimal Design of a Planning and Contracting Framework to Enable Vehicle to Building and Grid Services via Demand Response","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 New Brunswick; York University","funders":"Independent Electricity System Operator","keywords":"Grid; Demand response; Computer science; Business; Engineering; Electrical engineering; Mathematics","score_opus":0.006024466231320865,"score_gpt":0.23482381417737566,"score_spread":0.2287993479460548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406322204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022199934,0.00020740513,0.96669877,0.00048909656,0.00003587221,0.00019867683,0.0001190169,0.00016434187,0.009886889],"genre_scores_gemma":[0.7438235,0.0003042834,0.25124052,0.00013131624,0.000026970089,0.0004550747,0.0001839596,0.00006581921,0.0037685684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990752,0.0004027632,0.000030429932,0.00016414723,0.00015341994,0.0001739756],"domain_scores_gemma":[0.9987413,0.0007608881,0.00014128444,0.000045920082,0.00018767767,0.0001229551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023771746,0.0010491736,0.0008854813,0.00055034796,0.00066496804,0.0015125416,0.0012406104,0.001136935,0.004433824],"category_scores_gemma":[0.0030012825,0.00071316946,0.00070495834,0.00063635764,0.00093610305,0.0011258047,0.0014752537,0.0015057436,0.00029561704],"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":[0.000023191127,0.000023519207,0.0002093583,0.000022272443,0.000009630278,0.000042277607,0.000025809912,0.982312,0.0002901888,0.011513252,0.00037055483,0.0051578716],"study_design_scores_gemma":[0.0000075259845,0.000013680326,0.000037559472,0.000003616773,0.0000030652063,0.0000057653288,0.000015724636,0.99698704,0.00009483305,0.002519535,0.00030922302,0.0000024883973],"about_ca_topic_score_codex":0.01353052,"about_ca_topic_score_gemma":0.010914202,"teacher_disagreement_score":0.01353052,"about_ca_system_score_codex":0.0018069156,"about_ca_system_score_gemma":0.0049307533,"threshold_uncertainty_score":0.02690351},"labels":[],"label_agreement":null},{"id":"W4406387749","doi":"10.1016/j.cie.2025.110886","title":"Multi-objective planning of electric vehicles charging stations by integrating drivers’ preferences and fairness considerations: A case study in Halifax, Canada","year":2025,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; Saint Mary's University; Acadia University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Electric vehicle; Operations research; Environmental economics; Engineering; Computer science; Economics","score_opus":0.0164865965783782,"score_gpt":0.22654523415564295,"score_spread":0.21005863757726476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406387749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660827,0.00042244504,0.014534622,0.0011397154,0.000041562536,0.0004932942,0.0025773617,0.000194894,0.014513401],"genre_scores_gemma":[0.9784279,0.00030000194,0.013382127,0.00010045998,0.000008299884,0.00012824457,0.0017316033,0.00004316743,0.0058783535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992248,0.00022168258,0.000027806856,0.00010840472,0.00013420144,0.00028313076],"domain_scores_gemma":[0.9981718,0.0009253222,0.00008311056,0.00008509915,0.0004724015,0.00026226588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460098,0.0010986662,0.0006824749,0.00093432853,0.0028276301,0.0018697226,0.0019403294,0.0013982134,0.0030574056],"category_scores_gemma":[0.002353365,0.00045096746,0.0009542652,0.0030032906,0.0010071578,0.00073040207,0.0006225476,0.0009307722,0.00022706781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055666704,0.0007567577,0.032178923,0.00032140093,0.00016348554,0.0033096734,0.000712723,0.90825063,0.0017421669,0.0068541802,0.011379781,0.033773586],"study_design_scores_gemma":[0.00026118732,0.00017331656,0.028062843,0.000056157376,0.00008542773,0.00017926609,0.0053798193,0.9528582,0.0015300495,0.0018835084,0.009438955,0.000091293085],"about_ca_topic_score_codex":0.9416672,"about_ca_topic_score_gemma":0.9520133,"teacher_disagreement_score":0.0583328,"about_ca_system_score_codex":0.023721658,"about_ca_system_score_gemma":0.018791467,"threshold_uncertainty_score":0.17211348},"labels":[],"label_agreement":null},{"id":"W4406732690","doi":"10.1016/j.renene.2025.122456","title":"Techno-economic evaluation of electricity pricing structures on photovoltaic and photovoltaic-battery hybrid systems in Canada","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Battery (electricity); Electricity; Stand-alone power system; Photovoltaics; Automotive engineering; Rooftop photovoltaic power station; Environmental economics; Electricity pricing; Environmental science; Photovoltaic mounting system; Engineering; Electrical engineering; Business; Renewable energy; Economics; Electricity market; Distributed generation; Power (physics); Maximum power point tracking; Physics","score_opus":0.004700271945804,"score_gpt":0.1877356095034199,"score_spread":0.1830353375576159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406732690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97660214,0.0003533695,0.0015387926,0.0002683506,0.000012907254,0.00013812781,0.0023849022,0.000046821868,0.018654518],"genre_scores_gemma":[0.99639493,0.00016682573,0.00072557555,0.000015196762,0.000001920478,0.000012828409,0.00061273505,0.000008755643,0.0020612502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998825,0.00021864726,0.000038105474,0.00007925322,0.0005624153,0.00027657454],"domain_scores_gemma":[0.9980393,0.0006421633,0.00011837673,0.00006555227,0.000990169,0.00014453738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014525121,0.00044122012,0.00046501844,0.0011993479,0.0011084983,0.001925213,0.00090834085,0.0003998787,0.001839777],"category_scores_gemma":[0.0037546253,0.00024947812,0.0005980514,0.0022695756,0.0008222672,0.00063251774,0.00064826576,0.0005400803,0.00008324521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076450675,0.00019338405,0.060212467,0.00022242666,0.00016686606,0.0004440977,0.00018144744,0.8938481,0.0026495133,0.011238861,0.003098032,0.026980303],"study_design_scores_gemma":[0.00013097716,0.00031412177,0.1604315,0.000062557825,0.00015655792,0.00009491814,0.0014586714,0.82437867,0.003902656,0.0018382289,0.007095833,0.000135343],"about_ca_topic_score_codex":0.97532845,"about_ca_topic_score_gemma":0.9820854,"teacher_disagreement_score":0.05697819,"about_ca_system_score_codex":0.05697819,"about_ca_system_score_gemma":0.01871836,"threshold_uncertainty_score":0.41340762},"labels":[],"label_agreement":null},{"id":"W4406743479","doi":"10.1016/j.trd.2025.104612","title":"Net-zero transition model of Alberta’s heavy-duty trucking sector","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Acceleware (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Emissions Reduction Alberta","keywords":"Heavy duty; Zero (linguistics); Trucking industry; Zero emission; Business; Engineering; Environmental science; Transport engineering; Truck; Automotive engineering; Electrical engineering","score_opus":0.01910989632890239,"score_gpt":0.24058789677552395,"score_spread":0.22147800044662155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406743479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.472943,0.000732784,0.062479846,0.0027904513,0.00024503242,0.00070254266,0.015761081,0.00060970336,0.44373548],"genre_scores_gemma":[0.8854295,0.00033688953,0.0066468883,0.00016211993,0.0000136982235,0.00015524303,0.0031166505,0.000061380815,0.10407756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996482,0.000062582745,0.000008688924,0.000044384502,0.00009810734,0.00013806013],"domain_scores_gemma":[0.999561,0.00007656593,0.000034989174,0.000015552701,0.00024617946,0.000065657034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057847705,0.00068655866,0.00042218217,0.001004647,0.0012529884,0.0018684097,0.0025547044,0.0011843967,0.011707473],"category_scores_gemma":[0.0008065305,0.00044174027,0.00091357686,0.0009185064,0.00087412907,0.00095115806,0.0009060144,0.0010366708,0.0008842099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013415332,0.00006101191,0.0052730455,0.00004310265,0.000012074697,0.00016674615,0.00009766528,0.9519958,0.00048927317,0.031674836,0.004837178,0.005215076],"study_design_scores_gemma":[0.000033937744,0.000047408434,0.00334775,0.000024588488,0.000022852073,0.000026242968,0.00035850855,0.9839581,0.00016705954,0.003752484,0.008235355,0.000025740881],"about_ca_topic_score_codex":0.92896336,"about_ca_topic_score_gemma":0.91282034,"teacher_disagreement_score":0.07103664,"about_ca_system_score_codex":0.01954636,"about_ca_system_score_gemma":0.0149815185,"threshold_uncertainty_score":0.14290994},"labels":[],"label_agreement":null},{"id":"W4406787790","doi":"10.1016/j.rineng.2025.104082","title":"Integration of emerging technologies in next-generation electric vehicles: Evolution, advancements, and regulatory prospects","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Emerging technologies; Business; Computer science; Artificial intelligence","score_opus":0.0055598495539792795,"score_gpt":0.2025463352553989,"score_spread":0.1969864857014196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406787790","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020117618,0.7671848,0.032885324,0.018358568,0.0031126025,0.00017371608,0.00038304034,0.00027855526,0.15750587],"genre_scores_gemma":[0.13259368,0.8113638,0.026581308,0.0046346607,0.0016369073,0.00015315696,0.00081898033,0.00010932344,0.02210814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988992,0.00018652673,0.00009956644,0.00019358993,0.00049421063,0.00012687162],"domain_scores_gemma":[0.9982133,0.00053678383,0.00018034755,0.00009547042,0.0008470105,0.00012711369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019994997,0.0005014137,0.00035843288,0.0015210276,0.0005169723,0.0026502172,0.00089085806,0.0014930861,0.004377895],"category_scores_gemma":[0.0019626587,0.00022697043,0.0005138921,0.0020755997,0.0007499991,0.0046283603,0.0015458709,0.0018150511,0.0012499284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008177191,0.00015239143,0.0039638705,0.0032896854,0.000042459098,0.0002836641,0.00034453702,0.00242416,0.0060877535,0.17213058,0.021356337,0.78984284],"study_design_scores_gemma":[0.0000062882564,0.0001803646,0.0030418278,0.0021860134,0.000042536685,0.0005334881,0.0005549994,0.0021724496,0.0032105409,0.029399255,0.9586359,0.00003619805],"about_ca_topic_score_codex":0.0015462906,"about_ca_topic_score_gemma":0.00172882,"teacher_disagreement_score":0.004377895,"about_ca_system_score_codex":0.0013323171,"about_ca_system_score_gemma":0.0026293083,"threshold_uncertainty_score":0.014645517},"labels":[],"label_agreement":null},{"id":"W4406789634","doi":"10.1016/j.trd.2025.104596","title":"The association between automobility engagement and electric vehicle preferences among car buyers","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada","keywords":"Association (psychology); Electric vehicle; Electric cars; Psychology; Advertising; Engineering; Business; Automotive engineering; Physics","score_opus":0.017521956402042762,"score_gpt":0.2483312112211789,"score_spread":0.23080925481913614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406789634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990798,0.000010993445,0.00003490123,0.000014901916,7.0598367e-7,0.000006878636,0.000022296455,4.6398148e-7,0.0008291085],"genre_scores_gemma":[0.9992987,0.000017295704,0.000044531676,0.000011932471,9.970519e-7,0.0000048316438,0.00005159679,5.483066e-7,0.00056952215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994018,0.0001485113,0.000026095773,0.000086283064,0.0001848077,0.00015257014],"domain_scores_gemma":[0.99697506,0.0011514744,0.00065816223,0.00019495431,0.00065078534,0.000369542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015688244,0.00013078887,0.00018716085,0.00043114522,0.0007246234,0.0012433744,0.00037683398,0.00034288346,0.0038176482],"category_scores_gemma":[0.0036454343,0.0001557667,0.0003331933,0.00056882197,0.0008437129,0.0003933828,0.00044625814,0.0004969794,0.00017970831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014294503,0.00015551795,0.99286157,0.000010497367,0.000030277732,0.000044840457,0.0027841995,0.00010479228,0.0004989638,0.00014151983,0.00008086854,0.0031440654],"study_design_scores_gemma":[0.000003893389,0.000064123065,0.99405694,0.0000035433316,0.000009055889,0.000015995734,0.005158289,0.00022829566,0.00011307631,0.000037284775,0.00030200623,0.0000074816076],"about_ca_topic_score_codex":0.23998134,"about_ca_topic_score_gemma":0.3180189,"teacher_disagreement_score":0.23998134,"about_ca_system_score_codex":0.0013899899,"about_ca_system_score_gemma":0.0010817993,"threshold_uncertainty_score":0.47716904},"labels":[],"label_agreement":null},{"id":"W4406792970","doi":"10.1016/j.trd.2025.104608","title":"Preferences for electric vehicles under uncertain charging prices: An eye-tracking study","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministry of Education - Singapore; National University of Singapore","keywords":"Tracking (education); Automotive engineering; Eye tracking; Electric vehicle; Computer science; Engineering; Psychology; Artificial intelligence; Physics","score_opus":0.039157738505701735,"score_gpt":0.3140638824799947,"score_spread":0.27490614397429297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406792970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998486,0.000020609004,0.00016961296,0.000017821445,0.0000017296519,0.0000035489138,0.00007505076,0.0000020867465,0.0012234387],"genre_scores_gemma":[0.9991628,0.000025353125,0.00012631262,0.00002294454,0.000001982932,0.0000034494635,0.00006352542,0.0000023856305,0.0005912389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982625,0.0000550539,0.0000085961,0.00003858998,0.00003561146,0.000035856043],"domain_scores_gemma":[0.9954495,0.0031919105,0.0006802084,0.00024514511,0.00028264077,0.00015058153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059123395,0.000121866724,0.00017684206,0.00023853489,0.0002481913,0.0008677648,0.00021813491,0.0005401935,0.0031614315],"category_scores_gemma":[0.0076443325,0.00012477502,0.00023893823,0.00038318912,0.00016087836,0.0006830436,0.0002703585,0.0005149144,0.00040282554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026289548,0.0008461427,0.92563856,0.000097959615,0.00026306717,0.0005221963,0.008122978,0.0048247133,0.0155689,0.0016982852,0.00219708,0.037591096],"study_design_scores_gemma":[0.000041262556,0.00040050675,0.98047894,0.000012920966,0.00008558096,0.0004000536,0.0032606137,0.012334758,0.0010569799,0.0007317982,0.0011571968,0.000039290597],"about_ca_topic_score_codex":0.012751921,"about_ca_topic_score_gemma":0.013096904,"teacher_disagreement_score":0.012751921,"about_ca_system_score_codex":0.00034692505,"about_ca_system_score_gemma":0.00018356426,"threshold_uncertainty_score":0.025355339},"labels":[],"label_agreement":null},{"id":"W4406807976","doi":"10.18280/ijsdp.200127","title":"Assessing the Technological and Financial Feasibility of PV-Wind Hybrid Systems for EV Charging Stations on Indonesian Toll Roads","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Toll; Indonesian; Business; Finance; Photovoltaic system; Toll road; Environmental economics; Wind power; Meteorology; Environmental science; Engineering; Economics; Electrical engineering; Geography","score_opus":0.013164837989353383,"score_gpt":0.2732645318135971,"score_spread":0.26009969382424375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406807976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920019,0.000045172656,0.0011386444,0.00004245351,0.000006651088,0.000037822294,0.0001235757,0.000016366928,0.006587499],"genre_scores_gemma":[0.9988759,0.00003318688,0.00044595313,0.0000024073533,9.895223e-7,0.000007938954,0.000047924477,0.0000027083336,0.0005829417],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996301,0.0001029303,0.00001908868,0.000047325208,0.00014174785,0.000058722577],"domain_scores_gemma":[0.99949074,0.00018049483,0.000077827484,0.000035425637,0.00016210559,0.000053384556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006223091,0.0003097113,0.00017778022,0.0005027482,0.000364046,0.0013308486,0.0004494673,0.00039958526,0.0022299243],"category_scores_gemma":[0.0011263341,0.00018225901,0.00029299577,0.0004157678,0.0002545124,0.0011708444,0.0004327614,0.000426241,0.0003962466],"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":[0.0018759789,0.0016075597,0.40613383,0.00055053097,0.00022190598,0.0020597647,0.00046690038,0.35343704,0.046507195,0.006065641,0.002001025,0.17907259],"study_design_scores_gemma":[0.000101582,0.0047045844,0.42672282,0.00009797484,0.00031106453,0.0006112348,0.0057055946,0.5076997,0.045146164,0.002269047,0.0065317,0.000098474964],"about_ca_topic_score_codex":0.0045203115,"about_ca_topic_score_gemma":0.009538641,"teacher_disagreement_score":0.0045203115,"about_ca_system_score_codex":0.00094606244,"about_ca_system_score_gemma":0.00055642263,"threshold_uncertainty_score":0.008987963},"labels":[],"label_agreement":null},{"id":"W4406856991","doi":"10.1109/tits.2025.3526367","title":"Dynamic Energy-Aware EV Charging Navigation in Interacting Transportation and Distribution Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Science and Technology Department of Henan Province","keywords":"Vehicle dynamics; Computer science; Intelligent transportation system; Energy (signal processing); Distribution (mathematics); Aerospace engineering; Transport engineering; Engineering; Physics; Mathematics","score_opus":0.004711161224196027,"score_gpt":0.21594399835737887,"score_spread":0.21123283713318286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406856991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063150674,0.0002678789,0.9322716,0.00017873588,0.000036269517,0.000030249597,0.00005873899,0.00022099096,0.0037848405],"genre_scores_gemma":[0.9566012,0.0002017079,0.040466774,0.000055346394,0.00001395856,0.00006372714,0.00009432228,0.000037060458,0.0024659163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967086,0.00010004623,0.000010413002,0.000085332686,0.000061619765,0.00007182074],"domain_scores_gemma":[0.99973696,0.0001106078,0.00004410454,0.000017222275,0.00006455961,0.00002647468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052424544,0.0007788404,0.0007452804,0.00031781284,0.0005294126,0.0011002771,0.0010478741,0.0007397964,0.0009198669],"category_scores_gemma":[0.0011105705,0.0005078781,0.0006190942,0.00047262214,0.00048638033,0.0012384251,0.0012175152,0.00074860425,0.00013007598],"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":[0.00002792209,0.000010773542,0.0005586099,0.000016211128,0.000010753567,0.000040817435,0.000022379401,0.98932403,0.00046250955,0.0025379679,0.0001881156,0.0067999903],"study_design_scores_gemma":[0.0000022541458,0.0000071250697,0.00007281134,0.0000012667413,0.0000028724644,0.000005557775,0.000010264211,0.9989483,0.00008539429,0.00073078997,0.00013137927,0.000002115743],"about_ca_topic_score_codex":0.0190168,"about_ca_topic_score_gemma":0.0113030495,"teacher_disagreement_score":0.0190168,"about_ca_system_score_codex":0.0011146565,"about_ca_system_score_gemma":0.0012257034,"threshold_uncertainty_score":0.037812233},"labels":[],"label_agreement":null},{"id":"W4406894277","doi":"10.1016/j.envres.2025.120845","title":"Emerging evidence for the impact of Electric Vehicle sales on childhood asthma: Can ZEV mandates help?","year":2025,"lang":"en","type":"article","venue":"Environmental Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asthma; Environmental health; Business; Medicine; Immunology","score_opus":0.017237940513855656,"score_gpt":0.3165328811861331,"score_spread":0.29929494067227747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406894277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49588448,0.20357646,0.007957679,0.23743327,0.0018026949,0.00014656212,0.021685384,0.00023453415,0.03127891],"genre_scores_gemma":[0.9340694,0.039105132,0.0019369496,0.016488176,0.001363896,0.00008033709,0.0053567793,0.000070897644,0.001528385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957183,0.0018356278,0.00035614535,0.0008777546,0.0007914032,0.00042082323],"domain_scores_gemma":[0.96526504,0.02086666,0.008231273,0.0013777586,0.0028016942,0.0014575613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072333906,0.0005783224,0.0008671965,0.0015103546,0.00041088773,0.0021015513,0.0019902277,0.0015906072,0.011319607],"category_scores_gemma":[0.03141731,0.00051524845,0.003202057,0.002143799,0.001377589,0.002500576,0.0021777858,0.00379026,0.001130578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004766415,0.00020849194,0.8944597,0.0026577525,0.0031748263,0.00035975117,0.0005751867,0.0037987279,0.00027292993,0.0085304035,0.016801732,0.06868392],"study_design_scores_gemma":[0.0001112549,0.00034590124,0.9379591,0.004482335,0.0029018356,0.00023221213,0.0014811483,0.0061016,0.00043428518,0.00818799,0.037707128,0.00005515217],"about_ca_topic_score_codex":0.04023831,"about_ca_topic_score_gemma":0.04183379,"teacher_disagreement_score":0.04023831,"about_ca_system_score_codex":0.0015168331,"about_ca_system_score_gemma":0.0031986677,"threshold_uncertainty_score":0.08000821},"labels":[],"label_agreement":null},{"id":"W4407043619","doi":"10.5539/ass.v21n1p86","title":"Proposed Study on the Factors Influencing Electric Vehicle Adoption in the Urban Public Sector of Hunan Province, China","year":2025,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Business; Corporate governance; Government (linguistics); Electricity; China; Environmental economics; Public economics; Industrial organization; Finance; Economics","score_opus":0.007509536728483793,"score_gpt":0.2184297346292866,"score_spread":0.21092019790080282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407043619","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975224,0.000087953995,0.00020455045,0.00039050812,0.000005649478,0.000048182672,0.00013957979,0.0000036473407,0.0015974615],"genre_scores_gemma":[0.9985852,0.00014652753,0.0002601619,0.00005778292,0.000005020432,0.000041366424,0.0001758414,7.4615014e-7,0.0007273089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991906,0.00018771806,0.000054210668,0.000097308686,0.00015850029,0.00031156215],"domain_scores_gemma":[0.9985612,0.00038043983,0.00035651898,0.00004334204,0.00042026976,0.0002382319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016147023,0.00047445588,0.00027132506,0.001956814,0.0016369474,0.0014131892,0.00070121617,0.00040387097,0.0027640776],"category_scores_gemma":[0.0017199657,0.00027103134,0.0005848355,0.002650743,0.0007581092,0.0008547181,0.001048707,0.00056277,0.00015419831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015835958,0.00017744239,0.987678,0.000063444255,0.00003107537,0.00022533542,0.0040022666,0.00032846828,0.00019711167,0.00065384473,0.0003614693,0.006265747],"study_design_scores_gemma":[0.0000054377947,0.00007064346,0.9621788,0.00007930501,0.0000392743,0.00006510289,0.03378651,0.0023972413,0.00013937139,0.00019469898,0.001031464,0.000012159314],"about_ca_topic_score_codex":0.1795731,"about_ca_topic_score_gemma":0.18985476,"teacher_disagreement_score":0.1795731,"about_ca_system_score_codex":0.003450207,"about_ca_system_score_gemma":0.010353396,"threshold_uncertainty_score":0.35705578},"labels":[],"label_agreement":null},{"id":"W4407097753","doi":"10.1109/access.2025.3538094","title":"Smart Charging Strategies for EVs: Insights From Simulation Modeling on Italian Highways","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; Natural Resources Canada","funders":"","keywords":"Computer science; Transport engineering; Engineering","score_opus":0.022453723999249955,"score_gpt":0.27815840545736287,"score_spread":0.2557046814581129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407097753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94226253,0.00041155427,0.024349043,0.000896703,0.000041167965,0.000047568723,0.0007766236,0.00013706827,0.031077709],"genre_scores_gemma":[0.9956291,0.00022133252,0.0015988277,0.000030300196,0.000009618704,0.000021619455,0.00024314951,0.000017310083,0.002228807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982256,0.00007836993,0.0000061306905,0.00002165078,0.000019989564,0.000051345844],"domain_scores_gemma":[0.999665,0.00018969798,0.000044011285,0.000023005758,0.000054593274,0.00002368848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003851668,0.00053454307,0.00056206505,0.00055470614,0.00043386922,0.001042308,0.00063598,0.0011046518,0.0016419736],"category_scores_gemma":[0.0011364844,0.0002454158,0.00061577786,0.0005792384,0.00046703167,0.0007150651,0.0005447896,0.00049704977,0.00018875155],"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":[0.000016090205,0.000019025987,0.0021689518,0.0000083399855,0.000007834714,0.000042365296,0.00003495912,0.9939819,0.000109343724,0.0025691318,0.00024611608,0.00079602905],"study_design_scores_gemma":[0.0000059023787,0.000012281731,0.0008319883,0.0000047873095,0.0000058518513,0.000008875776,0.00007505714,0.9977902,0.000055820143,0.0006694257,0.00053435593,0.0000054277025],"about_ca_topic_score_codex":0.07507183,"about_ca_topic_score_gemma":0.040814724,"teacher_disagreement_score":0.07507183,"about_ca_system_score_codex":0.0015057749,"about_ca_system_score_gemma":0.00094036077,"threshold_uncertainty_score":0.1492697},"labels":[],"label_agreement":null},{"id":"W4407152377","doi":"10.1155/atr/6321559","title":"Trajectory‐Based Safety Analysis of Electric Battery Taxis","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Taxis; Battery (electricity); Trajectory; Automotive engineering; Transport engineering; Engineering; Reliability engineering; Computer science; Physics; Power (physics)","score_opus":0.00268708333267355,"score_gpt":0.20685530198167987,"score_spread":0.2041682186490063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407152377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762431,0.00014635504,0.021088764,0.00008081984,0.000009075123,0.000030515042,0.00089487655,0.000068429916,0.0014380707],"genre_scores_gemma":[0.99714077,0.0000734286,0.0013612383,0.0000038431517,0.0000024229255,0.000011769031,0.0009882468,0.00000395274,0.00041445662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998217,0.000035879377,0.000015640526,0.00004050299,0.000052489242,0.00003387012],"domain_scores_gemma":[0.99962413,0.00005746525,0.00008908816,0.000023123659,0.00017561791,0.000030527714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033958154,0.00040530422,0.00022196701,0.0016256161,0.00022902974,0.00043795,0.0003377744,0.00020622123,0.0006723942],"category_scores_gemma":[0.00090301177,0.000113698115,0.0003531762,0.0011147641,0.00016120513,0.0006241888,0.0004090735,0.00018220794,0.00012175939],"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":[0.00018554454,0.000098648976,0.30997396,0.000109890854,0.00018886912,0.00045004953,0.00025626877,0.63130176,0.0035459856,0.0029625276,0.0009800893,0.04994648],"study_design_scores_gemma":[0.000005912014,0.00007091092,0.10831259,0.000014461391,0.000041611074,0.000055897777,0.00047532984,0.8880121,0.0012098167,0.00089844054,0.00088252174,0.000020317677],"about_ca_topic_score_codex":0.046196017,"about_ca_topic_score_gemma":0.029145654,"teacher_disagreement_score":0.046196017,"about_ca_system_score_codex":0.00089814,"about_ca_system_score_gemma":0.0006837066,"threshold_uncertainty_score":0.091854274},"labels":[],"label_agreement":null},{"id":"W4407182264","doi":"10.2139/ssrn.5125110","title":"Energy-Based Probabilistic Model of Residential Electric Vehicle Load","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Probabilistic logic; Electric vehicle; Automotive engineering; Energy (signal processing); Computer science; Environmental science; Engineering; Mathematics; Physics; Artificial intelligence; Statistics; Power (physics)","score_opus":0.005347846229734502,"score_gpt":0.2025588054284808,"score_spread":0.1972109591987463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407182264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17740998,0.00087927363,0.79287994,0.0015952017,0.0001260313,0.00009188554,0.00312173,0.0007953612,0.02310056],"genre_scores_gemma":[0.97739536,0.00045030206,0.0059156246,0.00006779186,0.000071698814,0.000064337124,0.0006797673,0.00009370394,0.015261449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944335,0.00018350204,0.000023740395,0.00014352576,0.000120558616,0.00008535053],"domain_scores_gemma":[0.99887604,0.0006783539,0.00014290835,0.00006987943,0.0001893219,0.00004347955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008738309,0.00067614537,0.0010876236,0.00090162543,0.0003743,0.0013412022,0.0023090257,0.0017599512,0.005793283],"category_scores_gemma":[0.0028983916,0.0008314696,0.0009225717,0.0017487162,0.00092444324,0.0021214373,0.0007437769,0.0009160998,0.0010655172],"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":[0.000019156756,0.000008646459,0.0002912321,0.000013586117,0.000008554923,0.000042567157,0.000015191546,0.98849374,0.00016288522,0.009529941,0.00027956624,0.001134931],"study_design_scores_gemma":[0.0000018114137,0.000003222494,0.00010863649,0.0000018624945,0.0000030770693,0.000011210395,0.0000034312757,0.99648166,0.000030111933,0.0032618342,0.00009021393,0.0000030238882],"about_ca_topic_score_codex":0.011852914,"about_ca_topic_score_gemma":0.009888371,"teacher_disagreement_score":0.011852914,"about_ca_system_score_codex":0.0012038334,"about_ca_system_score_gemma":0.00053674605,"threshold_uncertainty_score":0.023567855},"labels":[],"label_agreement":null},{"id":"W4407479648","doi":"10.1016/j.prime.2025.100926","title":"Enhancing electric vehicle charging infrastructure: A framework for efficient charging point management","year":2025,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"European Commission","keywords":"Electric vehicle; Computer science; Point (geometry); Business; Physics; Power (physics); Mathematics","score_opus":0.0015814067684986777,"score_gpt":0.19710647279705296,"score_spread":0.19552506602855427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407479648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03987374,0.0012890219,0.89206,0.0011514078,0.0002747444,0.00072202017,0.016368063,0.042020313,0.0062408275],"genre_scores_gemma":[0.42791042,0.00092779886,0.5288353,0.00021464181,0.00011867038,0.00050574326,0.038129862,0.00068360986,0.0026739852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937135,0.00011044026,0.00005388489,0.00017125366,0.00020300446,0.000090117916],"domain_scores_gemma":[0.99947494,0.00009660634,0.00006225429,0.00016132082,0.00014399245,0.00006075739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011043152,0.0010416583,0.00064500375,0.0016787762,0.0005220733,0.0015370043,0.0022060773,0.0007594592,0.0014918254],"category_scores_gemma":[0.0026775887,0.0004106567,0.0010864706,0.0018279516,0.00030851952,0.0018949909,0.002262077,0.0013945212,0.00093459745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033721904,0.0004057625,0.013989958,0.000474806,0.0002745708,0.00039337671,0.00022701293,0.6500809,0.0055874293,0.041985184,0.051892538,0.23435117],"study_design_scores_gemma":[0.000022430353,0.000036175923,0.0012853072,0.00002167565,0.000016478221,0.000057696605,0.000053312822,0.97251916,0.0015650401,0.009823967,0.014573491,0.00002523599],"about_ca_topic_score_codex":0.014567607,"about_ca_topic_score_gemma":0.018717982,"teacher_disagreement_score":0.014567607,"about_ca_system_score_codex":0.0012779982,"about_ca_system_score_gemma":0.0020288157,"threshold_uncertainty_score":0.028965652},"labels":[],"label_agreement":null},{"id":"W4407636879","doi":"10.1016/j.trd.2025.104633","title":"Differences in Canadian consumers’ awareness and preferences for zero-emissions vehicles from 2013 to 2023","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council; Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; Mitacs; SFU Community Trust Endowment Fund; Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Zero emission; Greenhouse gas; Business; Natural resource economics; Environmental science; Environmental economics; Engineering; Economics; Waste management; Ecology","score_opus":0.030180416625579035,"score_gpt":0.2704475943923807,"score_spread":0.24026717776680168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407636879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98558724,0.0003713049,0.00011549017,0.0005027465,0.000013167818,0.000025186297,0.006003337,0.000014781866,0.0073668286],"genre_scores_gemma":[0.9943996,0.00025902354,0.00012660281,0.00013151583,0.000004444276,0.00001376747,0.002846946,0.0000062701833,0.0022118343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993104,0.000027919517,0.000020634088,0.00008242143,0.0003328138,0.00022585897],"domain_scores_gemma":[0.9973218,0.00014340751,0.00040051749,0.00007946209,0.0016313777,0.00042338495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084744144,0.0002578982,0.00026679283,0.0012100701,0.0019777939,0.00140123,0.00082328764,0.0004267738,0.0050713536],"category_scores_gemma":[0.0024242003,0.00022832245,0.0008959967,0.0027648401,0.0006542977,0.0006234406,0.0006973968,0.00083230506,0.0003685429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002459632,0.00006307196,0.9658486,0.00006438529,0.00010492888,0.00010156641,0.0070699784,0.0002618996,0.00040561118,0.0005143205,0.0066142925,0.018705327],"study_design_scores_gemma":[0.0000028370507,0.000014773897,0.9935272,0.000017327542,0.000013937977,0.00002511723,0.0034629416,0.00015606066,0.00008161727,0.000024279394,0.0026572535,0.000016577995],"about_ca_topic_score_codex":0.99394304,"about_ca_topic_score_gemma":0.99550664,"teacher_disagreement_score":0.019391509,"about_ca_system_score_codex":0.019391509,"about_ca_system_score_gemma":0.015400262,"threshold_uncertainty_score":0.14069587},"labels":[],"label_agreement":null},{"id":"W4407777207","doi":"10.1016/j.energy.2025.134970","title":"Clustering-based EV suitability analysis for grid support services","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Data mining; Grid; Computer science; Artificial intelligence; Mathematics","score_opus":0.0035768340875778682,"score_gpt":0.20615691040056164,"score_spread":0.20258007631298378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407777207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6617405,0.0007719346,0.32270336,0.00026277354,0.00007724938,0.000396801,0.0023247679,0.0012870957,0.010435552],"genre_scores_gemma":[0.96658653,0.00014261466,0.030425658,0.000021445952,0.000015193092,0.00008012885,0.0014731515,0.000048033013,0.0012072372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993618,0.00014148159,0.000055116983,0.00011043942,0.00022068796,0.00011050579],"domain_scores_gemma":[0.9993193,0.00019971948,0.000067032146,0.000057453424,0.0003221491,0.00003438208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075197074,0.0008955257,0.00065835693,0.0030501164,0.00045480815,0.00093354064,0.00067462656,0.00053030427,0.0015059464],"category_scores_gemma":[0.002384085,0.00019540006,0.0009609597,0.0023792903,0.00018957493,0.00066012214,0.0006038739,0.00025476608,0.00053381623],"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":[0.00066068413,0.00014961674,0.071333334,0.0003277735,0.00025733115,0.000405363,0.000320308,0.6968836,0.006501097,0.0036670142,0.0062282514,0.21326567],"study_design_scores_gemma":[0.000010382629,0.000057122492,0.02176904,0.000021722148,0.000052122738,0.000111240886,0.00037217012,0.97268784,0.0021083737,0.0012841895,0.0015000122,0.000025772477],"about_ca_topic_score_codex":0.013499332,"about_ca_topic_score_gemma":0.011350767,"teacher_disagreement_score":0.013499332,"about_ca_system_score_codex":0.000772101,"about_ca_system_score_gemma":0.0005868076,"threshold_uncertainty_score":0.026841462},"labels":[],"label_agreement":null},{"id":"W4407813880","doi":"10.1080/01605682.2025.2466681","title":"Optimal subsidy decisions for building electric vehicle charging piles: unit subsidy vs percentage subsidy","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Guangdong Province","keywords":"Subsidy; Electric vehicle; Unit (ring theory); Purchasing; Business; Operations management; Economics; Marketing; Mathematics; Physics; Market economy","score_opus":0.03090613903150347,"score_gpt":0.3383213767624891,"score_spread":0.3074152377309856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407813880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55309343,0.0024672793,0.3673906,0.0070616887,0.00038561042,0.0013627034,0.0007347123,0.00050303637,0.06700087],"genre_scores_gemma":[0.9852327,0.0003001231,0.011141121,0.00020302774,0.000027258131,0.00010929696,0.000052305193,0.000021087246,0.002913049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875236,0.0005031272,0.000051911622,0.00022199954,0.00012637865,0.00034422806],"domain_scores_gemma":[0.9972498,0.001770602,0.00029828132,0.00010180053,0.00027099237,0.00030845587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022748227,0.00077877176,0.0015811318,0.0009083322,0.0006933203,0.0023527707,0.0011232963,0.0026299036,0.007637026],"category_scores_gemma":[0.008416829,0.00079724024,0.0007740676,0.00056429516,0.0012948595,0.0025897461,0.0011895513,0.002059061,0.00049902726],"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":[0.0017674045,0.0008045855,0.005737036,0.00059560116,0.00015133552,0.00048787222,0.0002538256,0.78486395,0.003790015,0.122762576,0.010720683,0.06806515],"study_design_scores_gemma":[0.0005136697,0.00038201569,0.006048345,0.00015541428,0.0001644211,0.0001344019,0.0005479151,0.92824876,0.0017090568,0.056666818,0.005359756,0.0000693859],"about_ca_topic_score_codex":0.010176438,"about_ca_topic_score_gemma":0.009253777,"teacher_disagreement_score":0.010176438,"about_ca_system_score_codex":0.003390086,"about_ca_system_score_gemma":0.0043127136,"threshold_uncertainty_score":0.025548398},"labels":[],"label_agreement":null},{"id":"W4407858027","doi":"10.53555/sfs.v10i1.3392","title":"From Innovation To Market: The Role Of Energy Management, Smart Charging, And Renewable Integration In The Evolution Of Hybrid And Electric Vehicles.","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Business; Energy management; Electric vehicle; Industrial organization; Environmental economics; Engineering; Energy (signal processing); Economics; Electrical engineering; Physics","score_opus":0.02167683409550667,"score_gpt":0.20785056842052815,"score_spread":0.1861737343250215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407858027","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076803495,0.8960305,0.008849447,0.024714228,0.0032163372,0.00004227275,0.000117200325,0.000083503364,0.059266057],"genre_scores_gemma":[0.09028482,0.886618,0.0033701453,0.007029893,0.0020749858,0.000056993336,0.00013331103,0.00003324871,0.010398565],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930143,0.0001567098,0.000038573184,0.00010176394,0.0003033553,0.00009806489],"domain_scores_gemma":[0.9989182,0.0006450517,0.000108629414,0.000037211677,0.00020050844,0.00009044632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985174,0.00045489878,0.0004730963,0.0012069616,0.0005835204,0.0036591545,0.00071958784,0.0018792241,0.004454294],"category_scores_gemma":[0.0016610555,0.00016864376,0.00044270733,0.0019363142,0.0016517288,0.005114474,0.0014096193,0.0016636369,0.00078179437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065419285,0.0000788828,0.0015577673,0.0079788,0.00010208202,0.0006927356,0.0011228365,0.0009979488,0.0026545112,0.30471244,0.038315717,0.64172083],"study_design_scores_gemma":[0.0000070291258,0.00007994582,0.0014448354,0.0028550546,0.000056968915,0.000651971,0.0010043115,0.00051409024,0.0009767844,0.068111174,0.92426234,0.000035536115],"about_ca_topic_score_codex":0.0007759372,"about_ca_topic_score_gemma":0.0016963151,"teacher_disagreement_score":0.004454294,"about_ca_system_score_codex":0.0014292853,"about_ca_system_score_gemma":0.0026925807,"threshold_uncertainty_score":0.014901042},"labels":[],"label_agreement":null},{"id":"W4407931174","doi":"10.1016/j.ijhydene.2025.02.251","title":"Optimal configuration of hydrogen- and battery-based electric bus transit systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Transit (satellite); Computer science; Hydrogen; Electric vehicle; Automotive engineering; Public transport; Electrical engineering; Physics; Engineering; Transport engineering; Power (physics); Thermodynamics","score_opus":0.003481606866803399,"score_gpt":0.1970965229284203,"score_spread":0.1936149160616169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407931174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85975087,0.00059105246,0.104954235,0.00051221007,0.00005796431,0.00029535376,0.0007720854,0.00031760443,0.03274862],"genre_scores_gemma":[0.9943773,0.00009594886,0.0036759535,0.000013997598,0.0000027404383,0.0000449305,0.000084971856,0.00001425474,0.0016899261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996618,0.00013954245,0.0000078511675,0.000045973447,0.0000404035,0.00010441114],"domain_scores_gemma":[0.9996928,0.00010978878,0.000069120535,0.000018655914,0.000058112695,0.00005150965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047938997,0.00096914184,0.00072237325,0.00084814866,0.0005847118,0.0014251595,0.00071115786,0.0008300197,0.0039908374],"category_scores_gemma":[0.0011453796,0.0007275188,0.00056111626,0.0006619106,0.0006308763,0.0010945852,0.00074672716,0.00056961575,0.0003041316],"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":[0.00005996245,0.000019674124,0.0005869334,0.000015461954,0.000010857886,0.000047092817,0.000011324728,0.9957569,0.00047560153,0.0010845793,0.00017969352,0.0017519679],"study_design_scores_gemma":[0.000032735355,0.00012499881,0.0010001836,0.000010143889,0.000027925496,0.000023228586,0.00013065051,0.99555165,0.000869001,0.0016721999,0.00054415665,0.000013101179],"about_ca_topic_score_codex":0.014036011,"about_ca_topic_score_gemma":0.017608628,"teacher_disagreement_score":0.014036011,"about_ca_system_score_codex":0.0022063828,"about_ca_system_score_gemma":0.0016275576,"threshold_uncertainty_score":0.027908623},"labels":[],"label_agreement":null},{"id":"W4407970704","doi":"10.1007/s12273-025-1236-8","title":"ResiDualNet: A novel electric vehicle charging data imputation technique to enhance load forecasting accuracy","year":2025,"lang":"en","type":"article","venue":"Building Simulation","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"","keywords":"Imputation (statistics); Electric vehicle; Automotive engineering; Computer science; Reliability engineering; Data mining; Engineering; Machine learning; Missing data; Physics","score_opus":0.018746428688397803,"score_gpt":0.30478694394140704,"score_spread":0.2860405152530092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407970704","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032826874,0.00012998532,0.9589043,0.00017882427,0.0001673705,0.00004452948,0.00061570265,0.0054607647,0.0016716856],"genre_scores_gemma":[0.6062636,0.00019958832,0.38312054,0.0002067031,0.0001558843,0.00010718238,0.003714101,0.000670531,0.00556184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995882,0.00011156996,0.000027335085,0.000081896746,0.00014531247,0.00004583995],"domain_scores_gemma":[0.99883455,0.00038731247,0.00007839432,0.0002588623,0.0003919335,0.00004892158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012629433,0.0007075196,0.00078275823,0.0007059335,0.00034335646,0.0006413617,0.0019013743,0.0006077769,0.0036203058],"category_scores_gemma":[0.00414934,0.00041281167,0.0005195428,0.0009014077,0.00025378907,0.0013580421,0.0009532469,0.0013394833,0.001291807],"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":[0.000524252,0.00032011804,0.0060039996,0.00009149455,0.00016247913,0.00012917389,0.00010809126,0.6494263,0.0053068832,0.0042559146,0.011477421,0.32219392],"study_design_scores_gemma":[0.000007999735,0.000016269438,0.00021264168,0.0000026637383,0.0000051021766,0.000009779259,0.0000071553077,0.99698824,0.0012512219,0.0007007773,0.00079429836,0.000003930444],"about_ca_topic_score_codex":0.011042606,"about_ca_topic_score_gemma":0.01754877,"teacher_disagreement_score":0.011042606,"about_ca_system_score_codex":0.0003348023,"about_ca_system_score_gemma":0.00088411884,"threshold_uncertainty_score":0.021956623},"labels":[],"label_agreement":null},{"id":"W4408063003","doi":"10.5220/0013103400003893","title":"A Mixed-Integer Programming Approach for an Extended Fixed Route Hybrid Electric Aircraft Charging Problem","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada); Université Laval","funders":"","keywords":"Integer programming; Mathematical optimization; Computer science; Integer (computer science); Electric vehicle; Mathematics; Physics","score_opus":0.008821153986489305,"score_gpt":0.21686159604948954,"score_spread":0.20804044206300024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408063003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008635679,0.0004643098,0.97583383,0.00048513987,0.00017123164,0.0001308001,0.000182709,0.000109164015,0.013987066],"genre_scores_gemma":[0.39429563,0.0010008838,0.5800276,0.0005257782,0.00038399897,0.0006877354,0.0004740125,0.00024740392,0.02235696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926466,0.00032889628,0.000024741812,0.0001249518,0.00015166562,0.000105039486],"domain_scores_gemma":[0.9989196,0.00077315426,0.00007041909,0.00003127893,0.00013653439,0.00006899584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017742291,0.0015705986,0.0015509281,0.0008814382,0.00057648594,0.0023587483,0.0025083167,0.0022732087,0.008576618],"category_scores_gemma":[0.002981366,0.0010391264,0.0017507975,0.0011958127,0.0007967816,0.0015515287,0.0016324447,0.0022384876,0.00063335174],"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":[0.000042073363,0.00008579994,0.00017698384,0.0001312731,0.000046141173,0.00014102228,0.0000389092,0.95480007,0.00048874633,0.030522011,0.0019974203,0.011529438],"study_design_scores_gemma":[0.00001247244,0.000020505924,0.00003207882,0.000011466746,0.000009327886,0.000017777837,0.000015777334,0.99283725,0.00006257613,0.0061610336,0.0008154538,0.00000425637],"about_ca_topic_score_codex":0.0067990003,"about_ca_topic_score_gemma":0.0066218795,"teacher_disagreement_score":0.008576618,"about_ca_system_score_codex":0.0012528426,"about_ca_system_score_gemma":0.0016520787,"threshold_uncertainty_score":0.028691709},"labels":[],"label_agreement":null},{"id":"W4408110000","doi":"10.1007/978-3-031-82475-3_9","title":"A Novel Framework for Assessing Products Case Study: Electric Drives for Terrestrial Vehicles","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.018023383582353236,"score_gpt":0.2688211365610179,"score_spread":0.2507977529786647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408110000","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016174644,0.00043215556,0.9407316,0.00092578767,0.000044588513,0.00051656266,0.0005223027,0.00033648204,0.0403159],"genre_scores_gemma":[0.27585196,0.00044142752,0.7145817,0.00016111777,0.000046088746,0.00044939577,0.00053530355,0.000086620035,0.007846287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99614954,0.0018420358,0.00023345581,0.00051676197,0.0010240057,0.00023424395],"domain_scores_gemma":[0.99546117,0.0023639277,0.0004120251,0.00037046228,0.0011877335,0.00020471164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00405336,0.0014888005,0.0006419699,0.0043334602,0.0012724246,0.0044904775,0.0028181525,0.002224863,0.007108557],"category_scores_gemma":[0.007971684,0.0004234387,0.00097215857,0.0032219174,0.0020830173,0.0039157793,0.0025436396,0.0015453243,0.0009399869],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008537147,0.0004983752,0.009190999,0.00061020383,0.00013538272,0.0015384277,0.0022428832,0.13665074,0.0072079115,0.5994582,0.012187619,0.23019394],"study_design_scores_gemma":[0.000047910078,0.00026759075,0.005294761,0.0005261283,0.0001417747,0.0011288129,0.0040234174,0.551161,0.0046968586,0.37042376,0.06218846,0.00009949605],"about_ca_topic_score_codex":0.016329203,"about_ca_topic_score_gemma":0.022762593,"teacher_disagreement_score":0.016329203,"about_ca_system_score_codex":0.0024311142,"about_ca_system_score_gemma":0.003346396,"threshold_uncertainty_score":0.03246832},"labels":[],"label_agreement":null},{"id":"W4408127312","doi":"10.1016/j.energy.2025.135373","title":"Electrifying end-use demands: A rise in capacity and flexibility requirements","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"FortisBC; Mitacs","keywords":"Flexibility (engineering); End-to-end principle; Engineering; Operations management; Reliability engineering; Business; Computer science; Risk analysis (engineering); Systems engineering; Manufacturing engineering; Economics; Computer security","score_opus":0.014195707163809596,"score_gpt":0.22677392703835492,"score_spread":0.2125782198745453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408127312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97544175,0.00007596862,0.009907614,0.00045732327,0.000010803472,0.000028509108,0.0015285615,0.0001364896,0.012412921],"genre_scores_gemma":[0.99694014,0.000038780006,0.0016824575,0.000022407576,0.0000015330273,0.000007839633,0.0005260169,0.000014851549,0.0007659131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997602,0.000045727975,0.000007658319,0.00003690574,0.00008776678,0.00006187189],"domain_scores_gemma":[0.9995473,0.00016987731,0.000035633526,0.00006228742,0.00012857115,0.00005627125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031069282,0.00040743404,0.0003075237,0.0002921971,0.00026979923,0.0011995095,0.0007889313,0.0006221798,0.002187659],"category_scores_gemma":[0.0012457833,0.00034230895,0.0003971883,0.00068947976,0.0003351772,0.0008870896,0.0005173141,0.0008150968,0.00023751159],"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":[0.00013602721,0.000050000588,0.02383337,0.00004427906,0.000035711764,0.00027769062,0.00015343196,0.9585701,0.004811932,0.0029976647,0.0009825683,0.00810726],"study_design_scores_gemma":[0.000032760123,0.00008597608,0.048449803,0.000019777966,0.000026633894,0.00013407027,0.000646842,0.9368983,0.0055775126,0.002350759,0.0057272883,0.000050201754],"about_ca_topic_score_codex":0.11243666,"about_ca_topic_score_gemma":0.11194836,"teacher_disagreement_score":0.11243666,"about_ca_system_score_codex":0.0020241432,"about_ca_system_score_gemma":0.0012149852,"threshold_uncertainty_score":0.22356439},"labels":[],"label_agreement":null},{"id":"W4408240655","doi":"10.1108/jeas-07-2024-0262","title":"Motivation continuum and its effect on electric vehicle acceptance in India","year":2025,"lang":"en","type":"article","venue":"Journal of economic and administrative sciences.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Psychology; Electric vehicle; Physics; Thermodynamics","score_opus":0.01037018985591212,"score_gpt":0.2568181150702337,"score_spread":0.2464479252143216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408240655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980367,0.00003538675,0.00004378224,0.00008803114,0.000003170099,0.0000060264997,0.000030760297,0.000003942439,0.0017521599],"genre_scores_gemma":[0.9996617,0.000021787137,0.000043237054,0.000011247768,0.0000018751805,0.000005015808,0.000021058977,0.0000011778408,0.00023287866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991014,0.00032032825,0.000054368495,0.00008298906,0.00022599896,0.00021488621],"domain_scores_gemma":[0.9957371,0.0017493211,0.0012246068,0.00018821038,0.00045696518,0.0006437995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000858312,0.00018583146,0.00020983026,0.0009289406,0.00071472855,0.0014592619,0.00038213487,0.00022958659,0.003627101],"category_scores_gemma":[0.003559433,0.00014893431,0.0005321377,0.0008560414,0.0007986964,0.0003415551,0.0010678167,0.00077115797,0.0002862765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013010632,0.000387581,0.98422366,0.000037007525,0.000046842968,0.00020250343,0.0032861324,0.00015200661,0.000447764,0.00084999856,0.00026037588,0.009976104],"study_design_scores_gemma":[0.000004258723,0.00012394703,0.9938883,0.0000250693,0.00002280266,0.00012819865,0.004715576,0.0003317023,0.00016586829,0.00014776584,0.00043695435,0.000009664191],"about_ca_topic_score_codex":0.010844924,"about_ca_topic_score_gemma":0.009934969,"teacher_disagreement_score":0.010844924,"about_ca_system_score_codex":0.0009120648,"about_ca_system_score_gemma":0.0011542371,"threshold_uncertainty_score":0.02156359},"labels":[],"label_agreement":null},{"id":"W4408285276","doi":"10.1016/b978-0-44-313219-3.00041-1","title":"Life cycle assessment of energy","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Life-cycle assessment; Environmental science; Economics","score_opus":0.004669191576981992,"score_gpt":0.20824647848214092,"score_spread":0.20357728690515894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408285276","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012154497,0.028709218,0.20281667,0.001682866,0.0008229875,0.00017499921,0.0027893186,0.0011020659,0.74974734],"genre_scores_gemma":[0.2317529,0.039327323,0.067360625,0.00062593503,0.0002937496,0.00031229682,0.006137455,0.0008792186,0.6533104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954456,0.00008011835,0.000014756474,0.000045161225,0.0002923743,0.000022942078],"domain_scores_gemma":[0.9997793,0.000054256572,0.000010476951,0.00003899901,0.00010880812,0.000008135066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046404096,0.00080322364,0.0004917849,0.0014309414,0.00032738477,0.0017389902,0.0008817393,0.00077481306,0.016747428],"category_scores_gemma":[0.0006029785,0.00035566944,0.0007192036,0.0014617057,0.00030090797,0.0015237225,0.0006798708,0.0006980431,0.006105451],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005161831,0.00008406989,0.0010235268,0.0005726282,0.0000587449,0.000098254684,0.00010936709,0.08098803,0.005796944,0.075883314,0.061137404,0.7741959],"study_design_scores_gemma":[0.000009341985,0.00016837935,0.0033673558,0.0007447199,0.00004543562,0.00024165852,0.00023436983,0.086094014,0.010070498,0.13024627,0.7687254,0.000052452007],"about_ca_topic_score_codex":0.0062651597,"about_ca_topic_score_gemma":0.00958883,"teacher_disagreement_score":0.016747428,"about_ca_system_score_codex":0.0016609534,"about_ca_system_score_gemma":0.0012462735,"threshold_uncertainty_score":0.056025684},"labels":[],"label_agreement":null},{"id":"W4408378575","doi":"10.5267/j.ijiec.2025.3.001","title":"Research on collaborative innovation decision making of new energy vehicle industry chain considering carbon quota sharing contract","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Huaiyin Normal University; National Natural Science Foundation of China","keywords":"Business; Industrial organization; Technology innovation; Chain (unit)","score_opus":0.03466995924420847,"score_gpt":0.3266755104334373,"score_spread":0.29200555118922883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408378575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25785592,0.0014405368,0.71787596,0.0020760433,0.00014209631,0.00026873004,0.00014941613,0.00009401707,0.020097291],"genre_scores_gemma":[0.98158574,0.0005466883,0.015023007,0.000059619128,0.00003902352,0.000117293894,0.000041100822,0.000011233329,0.0025762892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99424535,0.0025743656,0.00023818719,0.001118208,0.0008290012,0.0009948801],"domain_scores_gemma":[0.9895047,0.0072829057,0.0012640775,0.00035697984,0.00086347735,0.0007279312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006520077,0.0011052112,0.0021178236,0.0011440575,0.0015769858,0.0034448302,0.0023301037,0.0031382022,0.0046550347],"category_scores_gemma":[0.012156053,0.0007824837,0.0020678472,0.0013940963,0.0024162359,0.005353133,0.0019929905,0.0022985372,0.00022079637],"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":[0.00014660525,0.00013111891,0.0021397218,0.00018429624,0.00012574349,0.00033934816,0.0002871355,0.90098935,0.001022106,0.08259426,0.00047890094,0.011561448],"study_design_scores_gemma":[0.000036267335,0.000090842164,0.00040600076,0.000019108333,0.000043795637,0.000038831025,0.00015637312,0.9558726,0.00032808533,0.042344004,0.0006376659,0.000026476318],"about_ca_topic_score_codex":0.0084562795,"about_ca_topic_score_gemma":0.0037977952,"teacher_disagreement_score":0.0084562795,"about_ca_system_score_codex":0.0038617891,"about_ca_system_score_gemma":0.00420308,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4408442689","doi":"10.1109/gtdla61236.2024.10913790","title":"Optimal Placement of Electric Vehicle Charging Stations with PV Penetration in an Unbalanced Distribution Grid","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Penetration (warfare); Grid; Distribution grid; Electric vehicle; Photovoltaic system; Automotive engineering; Computer science; Electrical engineering; Environmental science; Engineering; Geology; Power (physics); Physics; Operations research; Geodesy","score_opus":0.0041466332486987355,"score_gpt":0.20841203844005338,"score_spread":0.20426540519135464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408442689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10684337,0.00018782915,0.88481295,0.00016873819,0.00003694775,0.000091768925,0.000111272035,0.00018539089,0.0075617586],"genre_scores_gemma":[0.924331,0.00014274992,0.07350799,0.000021307123,0.000014207607,0.00005878139,0.000055694196,0.000032003878,0.001836183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996958,0.000103438644,0.000010368728,0.00005711346,0.00005984423,0.00007352071],"domain_scores_gemma":[0.99974746,0.000091051814,0.000069358866,0.000012612974,0.000049717768,0.000029822453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046517802,0.00077997905,0.0006690093,0.0006160961,0.00044677596,0.00090858276,0.00075090444,0.0007379449,0.0015682395],"category_scores_gemma":[0.0014518843,0.0006039419,0.00030728042,0.0007136358,0.0005095476,0.0006163139,0.0006199919,0.00038748924,0.0002353101],"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":[0.00003776183,0.000014205702,0.00043289346,0.000021123422,0.000008095655,0.00007106218,0.000021487027,0.9873389,0.00106684,0.0028791593,0.00026112504,0.007847316],"study_design_scores_gemma":[0.000011436724,0.000028958691,0.00021820523,0.0000050848735,0.0000066694165,0.00002120719,0.000041739273,0.99635243,0.00041287372,0.002553462,0.00034329254,0.0000046410546],"about_ca_topic_score_codex":0.0060206926,"about_ca_topic_score_gemma":0.007106629,"teacher_disagreement_score":0.0060206926,"about_ca_system_score_codex":0.0010830078,"about_ca_system_score_gemma":0.0009544861,"threshold_uncertainty_score":0.011971295},"labels":[],"label_agreement":null},{"id":"W4408564387","doi":"10.1109/jiot.2025.3552532","title":"Optimizing Electric Bus Charging Scheduling With Uncertainties Using Hierarchical Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ethica (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Scheduling (production processes); Distributed computing; Artificial intelligence; Mathematical optimization","score_opus":0.0065591769568079505,"score_gpt":0.21814511699534858,"score_spread":0.21158594003854064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408564387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1437844,0.0005314464,0.8489353,0.0006997169,0.00008478396,0.000050284554,0.000109403045,0.0010001893,0.004804509],"genre_scores_gemma":[0.9783005,0.00008006135,0.020202506,0.000108122134,0.000017997016,0.000032281016,0.000085277214,0.000031374366,0.0011419649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971133,0.00008549106,0.000011662626,0.00006679471,0.000052695243,0.0000719767],"domain_scores_gemma":[0.9991186,0.0005573384,0.00010468055,0.00004104059,0.000118921715,0.000059458216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007514091,0.00081181136,0.00076627673,0.00027248487,0.00029067587,0.00067462114,0.00078231376,0.00077181746,0.0011344391],"category_scores_gemma":[0.0026102455,0.000507035,0.0004181953,0.00024725386,0.00063300354,0.0007571144,0.00077759457,0.001474416,0.00017353221],"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":[0.000020971267,0.000017069855,0.00038007987,0.000010311276,0.000010143925,0.000016634582,0.000009262769,0.9924154,0.00025704078,0.00071225635,0.00022353846,0.0059273555],"study_design_scores_gemma":[0.00000214165,0.0000034321522,0.0000290098,6.467812e-7,9.02937e-7,9.3363434e-7,0.0000010898524,0.9995301,0.00004771681,0.00035635955,0.000027116545,6.178018e-7],"about_ca_topic_score_codex":0.015145629,"about_ca_topic_score_gemma":0.011907866,"teacher_disagreement_score":0.015145629,"about_ca_system_score_codex":0.0010299335,"about_ca_system_score_gemma":0.0014849685,"threshold_uncertainty_score":0.030114949},"labels":[],"label_agreement":null},{"id":"W4408657342","doi":"10.3390/a18030175","title":"A PSO-Based Approach for the Optimal Allocation of Electric Vehicle Parking Lots to the Electricity Distribution Network","year":2025,"lang":"en","type":"article","venue":"Algorithms","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Electric vehicle; Electricity; Computer science; Particle swarm optimization; Parking lot; Distribution (mathematics); Mathematical optimization; Operations research; Mathematics; Power (physics); Algorithm; Engineering; Electrical engineering","score_opus":0.006029424344537182,"score_gpt":0.2120899765644973,"score_spread":0.2060605522199601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408657342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010907648,0.00026256213,0.98282385,0.00017530922,0.00009282214,0.000068599584,0.000028688615,0.000112517846,0.005528049],"genre_scores_gemma":[0.60551906,0.00056863984,0.385944,0.00019093361,0.00015164741,0.0003018182,0.000108548185,0.000070287395,0.007145012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983096,0.000057175137,0.000008806229,0.000036269877,0.000044172422,0.0000224997],"domain_scores_gemma":[0.99974734,0.00014035533,0.000026774158,0.000010725645,0.000055296645,0.000019491157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046746767,0.0006750987,0.0008816511,0.0004693781,0.00032254134,0.00073846546,0.0006787197,0.0009543284,0.0021014803],"category_scores_gemma":[0.0011426171,0.0004038933,0.00062948046,0.00061839534,0.00042838484,0.0004819859,0.00048380665,0.0006754301,0.00022916995],"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":[0.000020518419,0.00002988312,0.00017581703,0.000042326144,0.000027398844,0.00003901882,0.000021597101,0.977768,0.0008302685,0.005773602,0.0007060465,0.014565544],"study_design_scores_gemma":[0.0000057544107,0.000013593897,0.000035730645,0.0000028742145,0.0000037194177,0.000006194512,0.000004176999,0.9989079,0.00008315662,0.0006785437,0.00025647262,0.0000018697343],"about_ca_topic_score_codex":0.004847259,"about_ca_topic_score_gemma":0.004235797,"teacher_disagreement_score":0.004847259,"about_ca_system_score_codex":0.00052792055,"about_ca_system_score_gemma":0.0009215333,"threshold_uncertainty_score":0.009638071},"labels":[],"label_agreement":null},{"id":"W4408662828","doi":"10.2139/ssrn.5187421","title":"Transit Electrification Through Charger Deployment, Fleet Type Selection, and Charging Schedule Optimization","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Electrification; Schedule; Software deployment; Selection (genetic algorithm); Transit (satellite); Computer science; Automotive engineering; Electrical engineering; Operations research; Transport engineering; Engineering; Electricity; Public transport; Operating system; Artificial intelligence","score_opus":0.0068417510264240766,"score_gpt":0.2222706911826645,"score_spread":0.21542894015624042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408662828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4208828,0.00069095794,0.55662364,0.0010526651,0.00009606308,0.00014701262,0.00069889677,0.00046449064,0.01934347],"genre_scores_gemma":[0.9734571,0.0002664126,0.017329032,0.00003334586,0.000032207485,0.000031262865,0.00017233385,0.00007225927,0.008606028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997135,0.0001272655,0.000006119975,0.000059438495,0.000027303859,0.00006640348],"domain_scores_gemma":[0.9993262,0.0004591436,0.00007956987,0.00003048028,0.0000547468,0.000049832364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075073773,0.0007752868,0.00095501286,0.00063542044,0.00031290803,0.0010565615,0.00071805035,0.0007871621,0.004017724],"category_scores_gemma":[0.0026725587,0.0005331237,0.0004755183,0.0012075331,0.00043992617,0.001365459,0.0005722659,0.00067278295,0.0002628591],"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":[0.00009987958,0.000027655477,0.00064089487,0.00002282133,0.000016048803,0.00003831283,0.000009219182,0.9876984,0.0005723862,0.0027937398,0.0005774433,0.007503149],"study_design_scores_gemma":[0.000008789271,0.000027693526,0.0003902608,0.000002534506,0.000013036711,0.000014739993,0.000016416858,0.9966074,0.0002442066,0.0024394093,0.00023247089,0.000003082254],"about_ca_topic_score_codex":0.0077511384,"about_ca_topic_score_gemma":0.007737046,"teacher_disagreement_score":0.0077511384,"about_ca_system_score_codex":0.0011225288,"about_ca_system_score_gemma":0.00091551564,"threshold_uncertainty_score":0.015412033},"labels":[],"label_agreement":null},{"id":"W4408712336","doi":"10.1109/itsc58415.2024.10920141","title":"Hierarchical Deep Reinforcement Learning for Charging Scheduling of Electric Buses with Uncertainties","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ethica (Canada); University of Guelph","funders":"","keywords":"Reinforcement learning; Computer science; Scheduling (production processes); Artificial intelligence; Distributed computing; Engineering","score_opus":0.006004393646199786,"score_gpt":0.20898227271699507,"score_spread":0.2029778790707953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408712336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16393313,0.00069816463,0.8292454,0.0006825929,0.00008682239,0.00006262224,0.00009598007,0.00096864253,0.004226622],"genre_scores_gemma":[0.98195803,0.00006182944,0.016789803,0.00008135097,0.000014460553,0.000029341229,0.000056200974,0.000022858861,0.0009861047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997218,0.000095476375,0.000011290328,0.00005564607,0.00004534965,0.00007035664],"domain_scores_gemma":[0.9990243,0.00062651356,0.000113357775,0.000036545134,0.0001281723,0.00007112221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009036526,0.00067151233,0.0007504838,0.00029462943,0.0002691184,0.0005253569,0.0007950641,0.00065527245,0.0014154029],"category_scores_gemma":[0.0028891526,0.00041260634,0.0003151994,0.00023727847,0.0005294679,0.000573901,0.0007110504,0.0012313811,0.00017037478],"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":[0.000040160256,0.0000250528,0.0005487153,0.00001605703,0.00001171722,0.000023841501,0.000016025779,0.9865956,0.0002846077,0.0010480757,0.00030221132,0.011087926],"study_design_scores_gemma":[0.000002344688,0.000004044622,0.000031315656,7.902768e-7,8.060958e-7,9.570854e-7,0.0000011076663,0.99951935,0.00004076346,0.00037374086,0.000024250448,5.770474e-7],"about_ca_topic_score_codex":0.0126002105,"about_ca_topic_score_gemma":0.011041788,"teacher_disagreement_score":0.0126002105,"about_ca_system_score_codex":0.00097063475,"about_ca_system_score_gemma":0.0013026213,"threshold_uncertainty_score":0.02505374},"labels":[],"label_agreement":null},{"id":"W4408735500","doi":"10.1016/j.renene.2025.122948","title":"Comprehensive assessment of an integrated energy system with EVs in a PV-equipped station-city complex","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"Natural Science Foundation of Sichuan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Photovoltaic system; Systems engineering; Engineering; Computer science; Automotive engineering; Environmental science; Electrical engineering","score_opus":0.008036273415195342,"score_gpt":0.23102805324259204,"score_spread":0.2229917798273967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408735500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993001,0.000033555658,0.0037248025,0.000042115083,0.0000039040356,0.000042778873,0.00034993136,0.00008969166,0.0027123156],"genre_scores_gemma":[0.99836093,0.000019571286,0.0006087468,0.0000034734433,0.0000010607212,0.000010742595,0.000117970994,0.0000080659765,0.0008693639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997304,0.00006245731,0.000011812937,0.000047909383,0.00008966893,0.000057824698],"domain_scores_gemma":[0.999708,0.000078394434,0.00003011146,0.000023356683,0.00011101525,0.0000489455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036812504,0.0006995955,0.0006998062,0.0006205716,0.00062831555,0.001482179,0.0008149058,0.00093972986,0.0015125263],"category_scores_gemma":[0.00049757597,0.00042793117,0.00070527854,0.0010055332,0.000498809,0.0010324351,0.0007528856,0.0005011234,0.00023579765],"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":[0.0004046502,0.00018841658,0.020872008,0.000051550036,0.00012789431,0.0005812302,0.000086466345,0.96198565,0.007567046,0.0007819831,0.00038511356,0.006968131],"study_design_scores_gemma":[0.00003923287,0.0003587254,0.030560777,0.00000792988,0.0001338715,0.000064549975,0.00031408947,0.9645532,0.0030515117,0.0003632746,0.0005286875,0.00002418854],"about_ca_topic_score_codex":0.048098996,"about_ca_topic_score_gemma":0.05524088,"teacher_disagreement_score":0.048098996,"about_ca_system_score_codex":0.0018453002,"about_ca_system_score_gemma":0.0012326785,"threshold_uncertainty_score":0.09563804},"labels":[],"label_agreement":null},{"id":"W4408780051","doi":"10.1109/mce.2025.3553926","title":"Electric Vehicles: Frontier of Consumer Electronics","year":2025,"lang":"en","type":"article","venue":"IEEE Consumer Electronics Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Ottawa; Huawei Technologies (Canada)","funders":"","keywords":"Frontier; Electronics; Electric cars; Telecommunications; Computer science; Business; Electrical engineering; Engineering; Geography","score_opus":0.004429916613603413,"score_gpt":0.20982753554324463,"score_spread":0.2053976189296412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408780051","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006888218,0.2568435,0.02717111,0.059904132,0.008024011,0.00008060918,0.00072581694,0.0008125012,0.6395501],"genre_scores_gemma":[0.112339884,0.3366954,0.019097751,0.014752275,0.008635528,0.0001000404,0.0012048243,0.00037626855,0.50679797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964917,0.00005026877,0.000011801901,0.00006320757,0.00018630433,0.00003926092],"domain_scores_gemma":[0.99955434,0.00008728033,0.000024141345,0.000032290674,0.00024157386,0.000060336468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970064,0.00048621465,0.00028232194,0.00075160636,0.00052168476,0.002510692,0.00065884343,0.0012993477,0.02578542],"category_scores_gemma":[0.00063050026,0.00014833552,0.0001697767,0.001156755,0.00094104465,0.003501608,0.0012910697,0.0019427245,0.010534383],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045730314,0.000041194646,0.0007876835,0.00052856957,0.000010604075,0.00015708504,0.00022427633,0.00052400446,0.0023330145,0.35863054,0.23531696,0.4014004],"study_design_scores_gemma":[0.0000017395804,0.000020225043,0.00020763779,0.00016443651,0.000001924288,0.00014848364,0.000103674494,0.00018557321,0.00022962771,0.022742057,0.97618973,0.0000049360674],"about_ca_topic_score_codex":0.0010606586,"about_ca_topic_score_gemma":0.0013228039,"teacher_disagreement_score":0.02578542,"about_ca_system_score_codex":0.0009704118,"about_ca_system_score_gemma":0.000933011,"threshold_uncertainty_score":0.086260796},"labels":[],"label_agreement":null},{"id":"W4408894506","doi":"10.3390/batteries11040129","title":"Optimizing Multi-Microgrid Operations with Battery Energy Storage and Electric Vehicle Integration: A Comparative Analysis of Strategies","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Battery (electricity); Energy storage; Computer science; Automotive engineering; Energy (signal processing); Power (physics); Control (management); Engineering; Artificial intelligence","score_opus":0.007768279488734106,"score_gpt":0.22553076525380975,"score_spread":0.21776248576507565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408894506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6725431,0.0040038303,0.27544948,0.0007869087,0.00005862646,0.0004301554,0.00019501788,0.00018549719,0.046347342],"genre_scores_gemma":[0.9861065,0.000519614,0.012208911,0.000029453668,0.000007889779,0.00007161683,0.000033611268,0.000015146215,0.0010071923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993864,0.00028742783,0.000022177099,0.000060274233,0.00012949161,0.00011418607],"domain_scores_gemma":[0.99821955,0.0012598342,0.00015033512,0.00007650016,0.00020907629,0.000084755025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018405766,0.0011456857,0.0010086308,0.0010520903,0.00042802113,0.0015798663,0.0008257248,0.0007116008,0.0018541905],"category_scores_gemma":[0.0035486075,0.00034171276,0.0009143396,0.0007791867,0.0004943949,0.0015638049,0.00082785153,0.00059791864,0.00012577882],"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":[0.00011243052,0.000087338216,0.0010973336,0.00012019581,0.00009756672,0.0000815188,0.000046238874,0.9677055,0.0008663182,0.01134779,0.00029435017,0.018143399],"study_design_scores_gemma":[0.000017106697,0.00023586595,0.0006571296,0.000021360993,0.0000626983,0.000041423704,0.00014244948,0.99421316,0.00057389075,0.0034930892,0.0005309001,0.000011052701],"about_ca_topic_score_codex":0.0041267266,"about_ca_topic_score_gemma":0.0037101319,"teacher_disagreement_score":0.0041267266,"about_ca_system_score_codex":0.0015635586,"about_ca_system_score_gemma":0.0015045281,"threshold_uncertainty_score":0.011344492},"labels":[],"label_agreement":null},{"id":"W4408898557","doi":"10.18280/jesa.580215","title":"A Real Case Study of Hybrid System for Enhancing the Energy Production","year":2025,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Business; Energy (signal processing); Production system (computer science); Computer science; Economics; Physics; Microeconomics","score_opus":0.009427604393557828,"score_gpt":0.2365631864820358,"score_spread":0.22713558208847798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408898557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278521,0.0006215266,0.04047295,0.00049890723,0.000119897886,0.00030919403,0.0010410643,0.0006777917,0.028406521],"genre_scores_gemma":[0.99135745,0.0000913214,0.0040264293,0.000010026619,0.0000073245023,0.00004344819,0.00014136785,0.000023047403,0.004299628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994436,0.00020682205,0.00002946493,0.00008194278,0.00014372097,0.00009455368],"domain_scores_gemma":[0.99945134,0.0002660723,0.000029730656,0.00007199696,0.00011482798,0.00006590445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066176837,0.00073848164,0.000470361,0.0007366984,0.00083522557,0.0011812779,0.0009876818,0.0015068952,0.009038929],"category_scores_gemma":[0.00085942046,0.00029161572,0.0006770475,0.0007152921,0.00051214977,0.00092292816,0.00064843503,0.00062577985,0.0008073893],"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":[0.0013401393,0.0012344765,0.018798547,0.00092541723,0.00017633304,0.013853494,0.0007382525,0.85680836,0.02496523,0.00940742,0.006987539,0.064764775],"study_design_scores_gemma":[0.0003221649,0.0019479931,0.015533747,0.00007404791,0.00013800529,0.0019952736,0.0017564547,0.92579067,0.026367918,0.0043674065,0.0216125,0.00009379495],"about_ca_topic_score_codex":0.006275767,"about_ca_topic_score_gemma":0.0075626723,"teacher_disagreement_score":0.009038929,"about_ca_system_score_codex":0.0008953354,"about_ca_system_score_gemma":0.00048600126,"threshold_uncertainty_score":0.030238211},"labels":[],"label_agreement":null},{"id":"W4409017078","doi":"10.1016/j.scs.2025.106298","title":"Enhancing public transportation sustainability: Insights from electric bus scheduling and charge optimization","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 Windsor","funders":"","keywords":"Sustainability; Public transport; Scheduling (production processes); Charge (physics); Automotive engineering; Transport engineering; Engineering; Computer science; Environmental economics; Economics; Operations management; Physics; Ecology","score_opus":0.0022497526571723355,"score_gpt":0.17717787567916427,"score_spread":0.17492812302199193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409017078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14263144,0.0013751232,0.7868866,0.0029813226,0.00014078278,0.00007757788,0.0002960621,0.00029067261,0.065320455],"genre_scores_gemma":[0.9716409,0.0010280041,0.020867184,0.00010238425,0.00006217777,0.00003994456,0.000081977574,0.00007305024,0.0061044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979717,0.00008762984,0.0000046951486,0.000026756145,0.000051076906,0.00003269938],"domain_scores_gemma":[0.9997093,0.0001652712,0.00004867604,0.000018076023,0.00003991127,0.000018734529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038706503,0.00071251695,0.00054377614,0.00032468032,0.0002715906,0.0010980023,0.00055142125,0.0007137851,0.002360368],"category_scores_gemma":[0.0014335888,0.00030107124,0.0004947164,0.0005598246,0.0005475654,0.0012195214,0.00066262926,0.00067346066,0.00016011349],"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":[0.00000722688,0.000020589667,0.0002921985,0.0000138535215,0.000006827138,0.000026016336,0.000012756476,0.9783796,0.00020695863,0.016029647,0.00032640123,0.0046780175],"study_design_scores_gemma":[0.0000040986233,0.00001501959,0.00018977083,0.0000054843813,0.000004969623,0.000010637369,0.000021975928,0.98705286,0.00012204885,0.011282019,0.0012875005,0.000003549239],"about_ca_topic_score_codex":0.011415406,"about_ca_topic_score_gemma":0.0101382425,"teacher_disagreement_score":0.011415406,"about_ca_system_score_codex":0.0011528993,"about_ca_system_score_gemma":0.0016034608,"threshold_uncertainty_score":0.022697866},"labels":[],"label_agreement":null},{"id":"W4409017655","doi":"10.4271/2025-01-8537","title":"On the Potentially Misleading Evaluation of CO&lt;sub&gt;2&lt;/sub&gt; Emissions for Hybrid-Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Environmental science","score_opus":0.01012113765294948,"score_gpt":0.24539127419194662,"score_spread":0.23527013653899714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409017655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.634059,0.009202739,0.22110806,0.00448019,0.0017865478,0.0002313382,0.004431845,0.0016996752,0.12300055],"genre_scores_gemma":[0.98198235,0.00090610486,0.013228673,0.00030257218,0.000068911555,0.000038590388,0.0006012224,0.0002918763,0.0025797219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982456,0.00061752927,0.00007911349,0.00015637069,0.0008384712,0.00006286687],"domain_scores_gemma":[0.9953269,0.0025281662,0.00040520733,0.00055877486,0.0011411253,0.000039944676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018849408,0.0006011142,0.0005100753,0.0013038389,0.00039231376,0.001604698,0.0008426287,0.00094061444,0.0027200773],"category_scores_gemma":[0.008637034,0.0001768527,0.00046644485,0.001230305,0.0007591506,0.0010641043,0.00084995845,0.00057522464,0.0006559836],"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":[0.0010573827,0.00043879196,0.04973454,0.0018210026,0.00040163106,0.0009818983,0.00088096404,0.58263534,0.032740638,0.04525747,0.021998918,0.26205146],"study_design_scores_gemma":[0.000081123595,0.00062492327,0.057057895,0.00090483646,0.00021965729,0.0008711113,0.0015968123,0.7562403,0.083381034,0.034023896,0.06482105,0.00017742408],"about_ca_topic_score_codex":0.0059733894,"about_ca_topic_score_gemma":0.00852668,"teacher_disagreement_score":0.0059733894,"about_ca_system_score_codex":0.0008069152,"about_ca_system_score_gemma":0.00061565754,"threshold_uncertainty_score":0.011877239},"labels":[],"label_agreement":null},{"id":"W4409107701","doi":"10.2139/ssrn.5202212","title":"Impact of the Car Fleet Evolution on Electricity Demand in Québec","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Electricity demand; Electricity; Economics; Environmental science; Business; Electricity generation; Engineering; Power (physics); Physics; Electrical engineering","score_opus":0.003302142160456617,"score_gpt":0.21687261982940773,"score_spread":0.2135704776689511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409107701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833624,0.00034545295,0.00026355393,0.0010302821,0.000029531857,0.000010898854,0.006721391,0.000033647506,0.008202934],"genre_scores_gemma":[0.993433,0.00012760807,0.000053794043,0.000058743313,0.0000052583873,0.0000022364839,0.0015230668,0.000012077411,0.0047842995],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996369,0.000060069302,0.000014335387,0.000058937687,0.000082890336,0.00014684517],"domain_scores_gemma":[0.99858224,0.0003138454,0.00015393134,0.000045127297,0.00066809944,0.00023685684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268047,0.00028889606,0.0003729586,0.00075439346,0.00075302296,0.0020215395,0.00078147143,0.00076749164,0.008394119],"category_scores_gemma":[0.0019932855,0.00024016429,0.00051847764,0.0014608254,0.00044076404,0.00072176807,0.00047927533,0.0007560743,0.00045953933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010016604,0.00022013203,0.71276385,0.00011465401,0.00048246016,0.00178509,0.0004295538,0.23850963,0.0036800143,0.0050976686,0.015409548,0.020505847],"study_design_scores_gemma":[0.00003199591,0.000088517605,0.83869725,0.000036332574,0.000080198115,0.00011055039,0.0016224468,0.14815724,0.00070527144,0.0003491242,0.010060282,0.00006087231],"about_ca_topic_score_codex":0.9822527,"about_ca_topic_score_gemma":0.9831407,"teacher_disagreement_score":0.021066234,"about_ca_system_score_codex":0.021066234,"about_ca_system_score_gemma":0.006049222,"threshold_uncertainty_score":0.15284693},"labels":[],"label_agreement":null},{"id":"W4409202789","doi":"10.1016/j.apenergy.2025.125780","title":"A new distributed charge approach for the electric vehicle parking lots considering coordination between DSO and EV operators","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"Türkiye Bilimler Akademisi; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Electric vehicle; Charge (physics); Parking lot; Automotive engineering; Engineering; Computer science; Physics; Civil engineering; Power (physics)","score_opus":0.00610810371046563,"score_gpt":0.1929362229257724,"score_spread":0.18682811921530676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409202789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010606085,0.0003321057,0.9827276,0.00015967799,0.00018226098,0.00010747862,0.00004480764,0.00020810531,0.0056319255],"genre_scores_gemma":[0.87766254,0.000322948,0.11137555,0.00014785328,0.00019724591,0.00017354065,0.00008586978,0.000084475476,0.009950004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943656,0.00012389541,0.000025677442,0.00013867255,0.00018275104,0.00009234376],"domain_scores_gemma":[0.9995964,0.000117236355,0.000029622694,0.000036114838,0.00017612493,0.000044441327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007495968,0.00088334165,0.0014584985,0.0006272565,0.0008074059,0.0018248076,0.0025577925,0.0013048335,0.0065115606],"category_scores_gemma":[0.00094134203,0.00046906748,0.0009814828,0.0008705934,0.00056608306,0.0015218243,0.0013339695,0.0007727683,0.0005818218],"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":[0.00016062225,0.00014957254,0.00066893717,0.00019969602,0.00009306481,0.0002867451,0.00011989735,0.8884781,0.0038507434,0.02344703,0.002923183,0.079622395],"study_design_scores_gemma":[0.000013526064,0.000029136358,0.00006143568,0.0000037131215,0.000015033425,0.000028349157,0.000020720954,0.99642414,0.00019084425,0.0025340738,0.000673305,0.00000570482],"about_ca_topic_score_codex":0.0058043646,"about_ca_topic_score_gemma":0.008644407,"teacher_disagreement_score":0.0065115606,"about_ca_system_score_codex":0.0010223726,"about_ca_system_score_gemma":0.001454781,"threshold_uncertainty_score":0.021783352},"labels":[],"label_agreement":null},{"id":"W4409247402","doi":"10.3390/su17083294","title":"Optimal Electric Bus Charging Scheduling with Multiple Vehicle and Charger Types Considering Compatibility","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Compatibility (geochemistry); Electric vehicle; Automotive engineering; Scheduling (production processes); Computer science; Engineering; Physics; Operations management","score_opus":0.0035191921246504874,"score_gpt":0.20685074164309228,"score_spread":0.2033315495184418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409247402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27527973,0.00045853847,0.71273506,0.00038826463,0.00009656094,0.00030017018,0.0002607178,0.0003633636,0.010117551],"genre_scores_gemma":[0.94397074,0.00013206506,0.05256927,0.00003874291,0.000017278355,0.00007671426,0.00016125094,0.00004380921,0.0029901352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952924,0.00016700661,0.000015655034,0.000084414925,0.00007277597,0.00013097402],"domain_scores_gemma":[0.9995067,0.0002310288,0.00007161697,0.000025477124,0.0000835762,0.00008158824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007222397,0.0010988928,0.0012978227,0.0005727846,0.0006117241,0.0012821094,0.0010122644,0.00075399276,0.0027492533],"category_scores_gemma":[0.0014341432,0.0006176452,0.00056167704,0.0009956534,0.00043084446,0.0009251442,0.0006547787,0.0006219575,0.0002158358],"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":[0.00011082746,0.000053763022,0.0007122236,0.000054917597,0.000020618229,0.00007319857,0.000031107964,0.9814202,0.0011723157,0.0031273293,0.0006027099,0.012620782],"study_design_scores_gemma":[0.000014107754,0.000037663718,0.00017621185,0.0000021847839,0.000009398748,0.000011668844,0.000024131621,0.9981527,0.00024776612,0.0010590968,0.0002608249,0.000004212719],"about_ca_topic_score_codex":0.013279459,"about_ca_topic_score_gemma":0.011978123,"teacher_disagreement_score":0.013279459,"about_ca_system_score_codex":0.0013267518,"about_ca_system_score_gemma":0.0018993455,"threshold_uncertainty_score":0.026404321},"labels":[],"label_agreement":null},{"id":"W4409255756","doi":"10.1016/j.jtrangeo.2025.104220","title":"The neglected electric vehicle adoption context: Expert perspectives concerning barriers to uptake in rural communities","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Transport Canada","keywords":"Context (archaeology); Business; Electric vehicle; Environmental planning; Transport engineering; Engineering; Geography; Power (physics)","score_opus":0.0041861511517681275,"score_gpt":0.20558469459756504,"score_spread":0.2013985434457969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409255756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95433724,0.0012011344,0.0018569023,0.026490873,0.00013856882,0.00012113327,0.00003972006,0.000025699037,0.015788779],"genre_scores_gemma":[0.99498785,0.0008971066,0.00050282275,0.0020943044,0.00001900808,0.000049105183,0.000014078776,0.000015907068,0.0014199318],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9771443,0.0155908065,0.00062075024,0.00096464215,0.001966643,0.0037128462],"domain_scores_gemma":[0.96015805,0.027259562,0.0018839927,0.00057163683,0.0055028545,0.0046238606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026535636,0.0004613063,0.00077526795,0.0019187168,0.017345404,0.007291051,0.0030781075,0.003934456,0.0035159346],"category_scores_gemma":[0.03763637,0.00070931914,0.00049371464,0.0021796022,0.013668775,0.007974045,0.008977063,0.004992205,0.00029524605],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101008545,0.000021787653,0.0026023157,0.00012723524,0.0000042960037,0.0009508079,0.98996943,0.000043777847,0.00029574675,0.0021463865,0.00058816595,0.0032399287],"study_design_scores_gemma":[0.0000012204936,0.000010607307,0.0004864127,0.00009741673,0.0000021274886,0.00012284589,0.9950263,0.00005697874,0.00003917556,0.00043391087,0.0037146446,0.000008476107],"about_ca_topic_score_codex":0.09167559,"about_ca_topic_score_gemma":0.093334146,"teacher_disagreement_score":0.09167559,"about_ca_system_score_codex":0.009092355,"about_ca_system_score_gemma":0.018582698,"threshold_uncertainty_score":0.18228394},"labels":[],"label_agreement":null},{"id":"W4409317769","doi":"10.1016/j.ijhydene.2025.03.316","title":"Mitigating urban pollution: A comparative life cycle assessment of hydrogen, electric, and diesel buses for urban transportation","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Acadia University; Dalhousie University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Diesel fuel; Environmental science; Life-cycle assessment; Pollution; Transport engineering; Environmental planning; Automotive engineering; Engineering; Economics","score_opus":0.007216011244815028,"score_gpt":0.2551035540809174,"score_spread":0.24788754283610237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409317769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821212,0.0011684424,0.0063987146,0.00023844032,0.00002024299,0.0002202308,0.0016363034,0.000043724984,0.008152556],"genre_scores_gemma":[0.992581,0.0008690238,0.0036155807,0.000023756213,0.000005756558,0.00007219464,0.0011290375,0.000018764504,0.0016847808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961984,0.00013748769,0.000011009556,0.00003303738,0.00014139834,0.000057228357],"domain_scores_gemma":[0.9992974,0.00022099976,0.000059411883,0.000029633802,0.0003531829,0.000039372244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011041726,0.00079828704,0.00046832496,0.0017396285,0.00041384285,0.0009744342,0.0004567241,0.00057405554,0.0014997656],"category_scores_gemma":[0.0010531833,0.00021673077,0.001070975,0.0013474654,0.0002662153,0.0010493266,0.00035952884,0.00037796728,0.00012213102],"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":[0.0010157645,0.0004333898,0.031834085,0.00072545325,0.00043747155,0.00023515326,0.00017504863,0.8880735,0.01119324,0.004024115,0.0018417398,0.06001105],"study_design_scores_gemma":[0.000095239324,0.0035698388,0.084598586,0.000098835655,0.0006245635,0.000097743075,0.0016185767,0.881773,0.014106979,0.0036425202,0.009680335,0.000093851166],"about_ca_topic_score_codex":0.08119789,"about_ca_topic_score_gemma":0.12396356,"teacher_disagreement_score":0.08119789,"about_ca_system_score_codex":0.004058603,"about_ca_system_score_gemma":0.0017483092,"threshold_uncertainty_score":0.1614505},"labels":[],"label_agreement":null},{"id":"W4409645999","doi":"10.28924/2291-8639-23-2025-99","title":"Optimal Utilization of Port Free-of-Charge Storage for Non-Instantaneously Deteriorating Items with Time-Varying Order Quantity Dependent Demand with Green Technology Investment during Transit","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Northern Border University","keywords":"Transit time; Order (exchange); Investment (military); Charge (physics); Operations research; Operations management; Business; Microeconomics; Mathematics; Economics; Engineering; Transport engineering; Finance; Physics","score_opus":0.004054122415439968,"score_gpt":0.2247581873564702,"score_spread":0.22070406494103023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409645999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36658543,0.0017679527,0.5949636,0.0012450366,0.000233552,0.000296203,0.0011355359,0.00050995935,0.03326274],"genre_scores_gemma":[0.9862808,0.00031456348,0.006973115,0.00003574832,0.000011915123,0.00007621117,0.000101517784,0.000028885062,0.006177378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995869,0.000104566934,0.000016682356,0.000091469,0.00006194452,0.00013850396],"domain_scores_gemma":[0.9995534,0.00017886657,0.00009139296,0.000023204107,0.00009417752,0.000058971895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079651695,0.001263362,0.001219669,0.0006267859,0.00065848936,0.002405465,0.0019249218,0.0016930833,0.0034609083],"category_scores_gemma":[0.0012652219,0.0008631607,0.0012481724,0.0007432565,0.00089916575,0.0017990087,0.00097385544,0.0011616477,0.00033659497],"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":[0.000076174656,0.000023944605,0.00036214976,0.000035220535,0.000011366503,0.000095696894,0.000019935902,0.994433,0.000792515,0.0024693736,0.00025275824,0.001427882],"study_design_scores_gemma":[0.000006671456,0.0000323181,0.00013240239,0.000005085682,0.000012306289,0.000013042087,0.000021877282,0.9987332,0.00018916074,0.00070763053,0.00013944048,0.0000068629115],"about_ca_topic_score_codex":0.020196091,"about_ca_topic_score_gemma":0.01640364,"teacher_disagreement_score":0.020196091,"about_ca_system_score_codex":0.0026416932,"about_ca_system_score_gemma":0.002048975,"threshold_uncertainty_score":0.04015708},"labels":[],"label_agreement":null},{"id":"W4409671928","doi":"10.1016/j.trip.2025.101424","title":"Will users practice what they preach? Exploring the influencing factors of the intention behaviour gap in electric vehicles adoption","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Business; Psychology","score_opus":0.03574838802051396,"score_gpt":0.33320467908330964,"score_spread":0.2974562910627957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409671928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671656,0.00008463879,0.0005795436,0.00026154806,0.0000038498642,0.000023968552,0.000026188263,0.000007853648,0.0022959516],"genre_scores_gemma":[0.99951553,0.000043583048,0.00019268993,0.000032751268,0.0000014282838,0.000012700046,0.00002269021,0.0000022802176,0.00017637927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765307,0.0009329317,0.00020730225,0.00025174112,0.0005427319,0.0004123014],"domain_scores_gemma":[0.97931266,0.012796852,0.0038212938,0.0006227451,0.002415823,0.0010307672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035127185,0.00022338932,0.00027723738,0.0007999875,0.00066199485,0.002261184,0.00049020606,0.0008274564,0.0028610034],"category_scores_gemma":[0.02280262,0.00033419224,0.0006073479,0.0006619504,0.0010323387,0.0025993674,0.0011114432,0.0012184939,0.00045228697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011865936,0.00029961884,0.9569138,0.00009761333,0.000050458515,0.00015500782,0.020786341,0.00018844983,0.0005993106,0.0010092973,0.00019188173,0.01958949],"study_design_scores_gemma":[0.000010291858,0.00021461297,0.94616735,0.00008716774,0.000061188846,0.00014779181,0.04727287,0.0031415797,0.00050715706,0.0009536195,0.001406246,0.000030018227],"about_ca_topic_score_codex":0.01315509,"about_ca_topic_score_gemma":0.016238376,"teacher_disagreement_score":0.01315509,"about_ca_system_score_codex":0.0010603893,"about_ca_system_score_gemma":0.0015502521,"threshold_uncertainty_score":0.026157081},"labels":[],"label_agreement":null},{"id":"W4409751780","doi":"10.1016/j.apenergy.2025.125916","title":"A coordinated CVR-EVDC approach for electric vehicle charging demand management","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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":"Queen's University; Queen's University Belfast","keywords":"Electric vehicle; Automotive engineering; Demand management; Business; Engineering; Computer science; Economics; Physics","score_opus":0.003327562786631139,"score_gpt":0.17775038509719113,"score_spread":0.17442282231056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409751780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009870533,0.00012346517,0.98320293,0.000121237856,0.00004581169,0.000044282788,0.00005235523,0.00037999748,0.006159313],"genre_scores_gemma":[0.8768368,0.00013946378,0.11807452,0.000118082105,0.00006297538,0.00009960508,0.00017224335,0.00013262319,0.00436369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999413,0.0001515878,0.000020358942,0.00013420127,0.00018744102,0.00009340086],"domain_scores_gemma":[0.9996413,0.00012587526,0.000053245796,0.000043542415,0.0001047484,0.000031274732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005208811,0.0007541091,0.00081791333,0.00047023976,0.00035876894,0.0009590271,0.0011295581,0.0005123841,0.0024755674],"category_scores_gemma":[0.0008264958,0.00042358343,0.0004574476,0.00062330335,0.00030243315,0.00067520037,0.0008002933,0.0006889901,0.00037165],"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":[0.000052369374,0.000064412176,0.00035593755,0.000044711658,0.0000280713,0.00006928215,0.000054772307,0.9418456,0.0020436323,0.005540141,0.0017230131,0.04817816],"study_design_scores_gemma":[0.00000685864,0.000024103949,0.00008104572,0.0000022038835,0.0000044736685,0.000015459294,0.000015281154,0.9974179,0.00029308858,0.0010647781,0.0010712304,0.0000035150276],"about_ca_topic_score_codex":0.007216867,"about_ca_topic_score_gemma":0.007963565,"teacher_disagreement_score":0.007216867,"about_ca_system_score_codex":0.00066856435,"about_ca_system_score_gemma":0.0010188164,"threshold_uncertainty_score":0.014349699},"labels":[],"label_agreement":null},{"id":"W4409791167","doi":"10.61091/jcmcc127a-435","title":"Bayesian Network Governance of Electric Vehicle Charging Pile Disordered Charging Load Impacts on the Grid","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Pile; Corporate governance; Electric vehicle; Bayesian network; Environmental science; Computer science; Automotive engineering; Business; Engineering; Geography; Physics; Artificial intelligence; Power (physics); Finance","score_opus":0.0041895896771260936,"score_gpt":0.2023678899359664,"score_spread":0.1981783002588403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.261785,0.00050785224,0.71529204,0.0013044185,0.00007921072,0.000100187404,0.0008991381,0.0005248764,0.019507255],"genre_scores_gemma":[0.9863631,0.0003145915,0.009097913,0.000056584828,0.000027053393,0.00004934983,0.00032744804,0.000042659463,0.0037213413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880505,0.00047609204,0.0000459677,0.00026926046,0.00021295241,0.00019062498],"domain_scores_gemma":[0.9977543,0.0010953844,0.00038792327,0.00016474015,0.0004855818,0.00011216231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015183034,0.0005275018,0.00076724525,0.00089983514,0.0006118544,0.0018984454,0.0012698264,0.0010225874,0.0033634764],"category_scores_gemma":[0.0071219415,0.00060384494,0.0007618658,0.0012024937,0.0009032535,0.002528955,0.0009847432,0.0010326284,0.0003405637],"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":[0.000042075215,0.00001615039,0.0041476744,0.000019710744,0.000030043831,0.00014065162,0.00005876253,0.95187825,0.0003204712,0.036925547,0.0009637311,0.0054568816],"study_design_scores_gemma":[0.000005178079,0.000007588112,0.0008791454,0.000003757058,0.000010563381,0.00002324189,0.000020138938,0.9851458,0.000091385446,0.013391657,0.00041237363,0.0000091727425],"about_ca_topic_score_codex":0.033426918,"about_ca_topic_score_gemma":0.019186107,"teacher_disagreement_score":0.033426918,"about_ca_system_score_codex":0.0027014655,"about_ca_system_score_gemma":0.0012369491,"threshold_uncertainty_score":0.06646466},"labels":[],"label_agreement":null},{"id":"W4409791325","doi":"10.61091/jcmcc127a-345","title":"Decision-making on price and after-sales service of new energy vehicle supply chain under different sales modes based on game theory models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Supply chain; Game theory; Service (business); Business; Marketing; Industrial organization; Microeconomics; Economics","score_opus":0.006149038092712999,"score_gpt":0.21758947797848782,"score_spread":0.21144043988577482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409791325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30688477,0.0008748213,0.6526033,0.0022550095,0.0001975721,0.0004724864,0.0004685797,0.00012442215,0.036119003],"genre_scores_gemma":[0.9808399,0.00052430097,0.011260708,0.00009861428,0.000050697934,0.0001503777,0.0000958474,0.000020654317,0.0069588344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967577,0.0012299218,0.00011788538,0.00062076136,0.00042039304,0.00085338415],"domain_scores_gemma":[0.99615663,0.0023944995,0.00048424286,0.000090452035,0.00045997143,0.00041425275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023722788,0.0011362084,0.0016706509,0.0010626621,0.0011185857,0.0036772108,0.002199528,0.0022039874,0.006129049],"category_scores_gemma":[0.006234268,0.00092246704,0.001836443,0.0011744552,0.0019353227,0.0050306115,0.00134411,0.0023561206,0.00038152622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002934122,0.00020784937,0.004772914,0.0001707275,0.0001724054,0.00069895276,0.00048895384,0.77073455,0.0018839771,0.20737273,0.0019670136,0.011236552],"study_design_scores_gemma":[0.00002708645,0.000054858563,0.0005992786,0.000011653358,0.000044423447,0.000047097416,0.00017085043,0.9656854,0.00017425139,0.03275744,0.0003969763,0.000030762592],"about_ca_topic_score_codex":0.017204406,"about_ca_topic_score_gemma":0.010964256,"teacher_disagreement_score":0.017204406,"about_ca_system_score_codex":0.004549978,"about_ca_system_score_gemma":0.003040349,"threshold_uncertainty_score":0.034208536},"labels":[],"label_agreement":null},{"id":"W4409793666","doi":"10.61091/jcmcc127a-264","title":"https://combinatorialpress.com/jcmcc-articles/volume-127a/research-on-hierarchical-recursive-power-supply-meshing-algorithm-considering-the-dynamic-change-of-grid-loads/","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Computer science; Grid; Power grid; Algorithm; Power (physics); Mathematics; Geometry; Physics","score_opus":0.01440897550449745,"score_gpt":0.26916227562778106,"score_spread":0.2547533001232836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793666","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007026955,0.0037280412,0.033603653,0.0035224154,0.0013547032,0.00026911972,0.0018042559,0.0059931558,0.9426977],"genre_scores_gemma":[0.113212,0.012792817,0.039158095,0.0016322589,0.000836602,0.00042522882,0.0045900936,0.004217179,0.8231356],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994955,0.00009298532,0.00003592512,0.0000894586,0.00023561763,0.0000504012],"domain_scores_gemma":[0.998698,0.00054408016,0.00007830396,0.00028589234,0.00026640372,0.00012719374],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00056945503,0.00075746106,0.00066217943,0.0017455211,0.00079203025,0.005452372,0.00089419173,0.001748697,0.5130022],"category_scores_gemma":[0.0024033526,0.00044141992,0.0006046843,0.003573975,0.0012820148,0.0029403416,0.0014648569,0.001108444,0.3006998],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012456806,0.00028425752,0.002478427,0.0009582221,0.000042473428,0.0004617186,0.0003274214,0.008300246,0.003775416,0.04683192,0.31768805,0.6187273],"study_design_scores_gemma":[0.000038956317,0.000059846294,0.0022523901,0.00051109097,0.00001791581,0.00032772598,0.0007060455,0.018148597,0.0025925147,0.020272683,0.95503783,0.000034401066],"about_ca_topic_score_codex":0.0050558206,"about_ca_topic_score_gemma":0.0065913545,"teacher_disagreement_score":0.48699778,"about_ca_system_score_codex":0.0013210997,"about_ca_system_score_gemma":0.0018555332,"threshold_uncertainty_score":0.69464326},"labels":[],"label_agreement":null},{"id":"W4409825617","doi":"10.1111/1911-3838.12404","title":"Investments for Carbon Footprint Reduction: An Instructional Case <sup>*</sup>","year":2025,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Reduction (mathematics); Footprint; Carbon fibers; Business; Environmental economics; Computer science; Economics; Greenhouse gas; Mathematics; Geology; Archaeology; Geography; Algorithm","score_opus":0.006796102480486463,"score_gpt":0.23410880421889196,"score_spread":0.2273127017384055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409825617","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6005515,0.0005237668,0.01623351,0.052502982,0.0003836823,0.00056073634,0.0001479287,0.00020827983,0.32888767],"genre_scores_gemma":[0.94992465,0.000674196,0.013189874,0.003183764,0.000076520555,0.00031796418,0.00007659648,0.000027497868,0.03252885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742484,0.001375351,0.000052132556,0.00009153921,0.00041827396,0.0006379036],"domain_scores_gemma":[0.99462765,0.0034446127,0.00028088744,0.00012465147,0.00041788412,0.0011043841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025296465,0.00048301386,0.00018596671,0.0008723709,0.006231415,0.0047282637,0.0015736042,0.0042090113,0.011794176],"category_scores_gemma":[0.0060567386,0.00022139506,0.00035657967,0.00063013233,0.0027756076,0.001758556,0.0027854645,0.0033698445,0.0014477114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035953647,0.009665813,0.023489572,0.000561513,0.000054547272,0.06175291,0.081762664,0.015496563,0.0043884343,0.44694528,0.18296528,0.17255789],"study_design_scores_gemma":[0.00018291626,0.0013461667,0.0071385778,0.0009992848,0.000059828566,0.008539755,0.22909832,0.019977426,0.01019813,0.039594613,0.6827356,0.00012929876],"about_ca_topic_score_codex":0.007415572,"about_ca_topic_score_gemma":0.027140453,"teacher_disagreement_score":0.011794176,"about_ca_system_score_codex":0.0064273686,"about_ca_system_score_gemma":0.005279628,"threshold_uncertainty_score":0.04663402},"labels":[],"label_agreement":null},{"id":"W4409924942","doi":"10.1257/pol.20230653","title":"Show Me the Money! A Field Experiment on Electric Vehicle Charge Timing","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Electric Vehicles and Infrastructure","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":"University of Alberta; University of Calgary","funders":"","keywords":"Electric field; Charge (physics); Physics; Economics; Electrical engineering; Environmental science; Engineering","score_opus":0.005074765646337825,"score_gpt":0.2362493557946746,"score_spread":0.23117459014833677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409924942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817529,0.00009582342,0.0018690882,0.001471939,0.00026946794,0.00060032716,0.00034511124,0.000084240615,0.01351122],"genre_scores_gemma":[0.9862012,0.0001638345,0.0034686928,0.0013323977,0.000111634465,0.001332742,0.0001777498,0.000023621333,0.0071880277],"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99875546,0.0007409477,0.00005250066,0.00020827762,0.00012903965,0.00011379046],"domain_scores_gemma":[0.9810203,0.013749094,0.0023592424,0.0011658304,0.00049047824,0.0012150746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003147749,0.0007266392,0.00054697075,0.00034488822,0.00094641175,0.0011169651,0.0012218952,0.0024339757,0.019336078],"category_scores_gemma":[0.012148697,0.00042118988,0.0003487093,0.0003532907,0.0014263503,0.0016859343,0.0007630366,0.0020041456,0.0013190988],"study_design_candidate":"randomized_trial","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":[0.14978527,0.42211974,0.03458144,0.0027509234,0.00081995997,0.0012218719,0.0044591995,0.013770785,0.10762238,0.061730217,0.042104654,0.1590336],"study_design_scores_gemma":[0.08278028,0.4451039,0.1539022,0.00088582496,0.0016574812,0.00067401136,0.0073479405,0.06724006,0.054479565,0.115634784,0.0694786,0.00081532594],"about_ca_topic_score_codex":0.0014441836,"about_ca_topic_score_gemma":0.0014861737,"teacher_disagreement_score":0.019336078,"about_ca_system_score_codex":0.0007472101,"about_ca_system_score_gemma":0.00076237414,"threshold_uncertainty_score":0.06468564},"labels":[],"label_agreement":null},{"id":"W4410002808","doi":"10.20935/acadenergy7683","title":"Shaping India’s EV future: a policy framework inspired by global best practices","year":2025,"lang":"en","type":"article","venue":"Academia green energy.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Development economics; Regional science; Sociology; Economics","score_opus":0.01029981091795075,"score_gpt":0.27609456116940834,"score_spread":0.2657947502514576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410002808","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07581018,0.006513906,0.05213009,0.21342468,0.0008211274,0.00025384294,0.00061225204,0.0003774926,0.6500565],"genre_scores_gemma":[0.9468709,0.0064041787,0.021465464,0.0103656305,0.00015207783,0.00021295065,0.00026233977,0.00010476087,0.014161789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99475104,0.0024001014,0.00019234633,0.00044040318,0.0009231321,0.0012929599],"domain_scores_gemma":[0.9968135,0.0011771189,0.00028028397,0.0003269828,0.000852816,0.0005493124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059963013,0.0008405685,0.00044897015,0.002550062,0.0039683683,0.0146289505,0.002077048,0.0035837523,0.0045528533],"category_scores_gemma":[0.005779811,0.00035190748,0.00065779436,0.0031478144,0.007453359,0.007713043,0.007605174,0.005650604,0.00077977724],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019419602,0.000053043197,0.00187044,0.00024366478,0.000022043643,0.000366152,0.0049442807,0.004389121,0.00045830762,0.96391296,0.007159029,0.01656158],"study_design_scores_gemma":[0.000021834716,0.000102974926,0.0050403615,0.0013595303,0.000087108194,0.00059124595,0.041799042,0.005613419,0.0017591198,0.57679325,0.3666876,0.00014447683],"about_ca_topic_score_codex":0.01841152,"about_ca_topic_score_gemma":0.027816733,"teacher_disagreement_score":0.01841152,"about_ca_system_score_codex":0.010494374,"about_ca_system_score_gemma":0.024002217,"threshold_uncertainty_score":0.07614231},"labels":[],"label_agreement":null},{"id":"W4410015953","doi":"10.1016/j.ijhydene.2025.04.411","title":"Techno-economic analysis of fuel cell trucks with different powertrain hybridization and hydrogen resources by 2040: case study of China","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; National Natural Science Foundation of China","keywords":"Powertrain; Truck; China; Fuel cells; Business; Environmental science; Automotive engineering; Chemical engineering; Engineering; Political science","score_opus":0.001781026661811315,"score_gpt":0.18852674112317128,"score_spread":0.18674571446135996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410015953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552566,0.0000783907,0.00070222915,0.00008316324,0.0000052468936,0.00002879952,0.0002657014,0.000010516685,0.003300249],"genre_scores_gemma":[0.99797994,0.000064990396,0.00029497847,0.000004702921,0.0000022089832,0.000010283287,0.00017539528,0.0000045727697,0.0014628237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996277,0.00007696535,0.000012017956,0.0000413333,0.00007209618,0.00016980366],"domain_scores_gemma":[0.9995066,0.0002270515,0.00004569323,0.000027411428,0.00009561892,0.00009766704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516838,0.0006767139,0.00046412187,0.0015957883,0.0008784772,0.001481685,0.0011947504,0.0012655569,0.0034463103],"category_scores_gemma":[0.00078039017,0.00038724643,0.0014264869,0.0017726978,0.00081243593,0.0011923823,0.0006119253,0.0005316059,0.00017469369],"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":[0.0010237744,0.00083381316,0.075367615,0.00015491982,0.00025260015,0.0048698504,0.0002734989,0.88656896,0.0050164857,0.009012902,0.0015399603,0.015085718],"study_design_scores_gemma":[0.00006563516,0.00038301307,0.072064534,0.000022974767,0.0001619984,0.0002816376,0.002716324,0.9178479,0.002465122,0.0019961682,0.0019153184,0.000079407044],"about_ca_topic_score_codex":0.12838149,"about_ca_topic_score_gemma":0.10123546,"teacher_disagreement_score":0.12838149,"about_ca_system_score_codex":0.0059416946,"about_ca_system_score_gemma":0.0019607309,"threshold_uncertainty_score":0.25526845},"labels":[],"label_agreement":null},{"id":"W4410034031","doi":"10.1007/978-3-031-89444-2_21","title":"Examining How Geographical Location Impacts Fuel Cell Electric Bus Operational Energy Consumption and Carbon Emissions","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in mobility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Consumption (sociology); Energy consumption; Environmental science; Environmental economics; Business; Engineering; Economics; Electrical engineering","score_opus":0.007644190426864892,"score_gpt":0.1980946154890848,"score_spread":0.1904504250622199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410034031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075454,0.0003123676,0.001840919,0.00007411715,0.000011899913,0.000013191526,0.00032856886,0.00002521894,0.0066389833],"genre_scores_gemma":[0.99718505,0.00026820356,0.00064255507,0.000009429903,0.0000026244873,0.000005335802,0.00025561912,0.000009417304,0.0016216771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998597,0.000051592197,0.00000446559,0.000021867438,0.000040505143,0.00002187555],"domain_scores_gemma":[0.99936277,0.00042744813,0.000060849783,0.000019981799,0.00011253701,0.000016319778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017082748,0.00028677698,0.00018265322,0.00028316837,0.00014311432,0.00090294715,0.00026722383,0.00027744603,0.0034429498],"category_scores_gemma":[0.0010950895,0.00014013535,0.00029664132,0.00075483497,0.00013983781,0.0005374323,0.00029436353,0.00017276352,0.00044978125],"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":[0.0007460243,0.00024963342,0.22430904,0.000523445,0.0004255866,0.0014572067,0.00048182273,0.68287206,0.02244216,0.0027773045,0.0019350232,0.061780687],"study_design_scores_gemma":[0.00004744721,0.0012817548,0.55126727,0.00010737211,0.00055980874,0.00038767094,0.0038657573,0.40612936,0.024427576,0.0024917966,0.009293005,0.00014118738],"about_ca_topic_score_codex":0.025369955,"about_ca_topic_score_gemma":0.035870362,"teacher_disagreement_score":0.025369955,"about_ca_system_score_codex":0.00056484295,"about_ca_system_score_gemma":0.00027856798,"threshold_uncertainty_score":0.050444543},"labels":[],"label_agreement":null},{"id":"W4410235868","doi":"10.32721/ctj.2025.73.1.pf.epelbaum","title":"Policy Forum: Demand and Supply Policies for Electric Vehicle Adoption—A Comparison of Norway and Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Supply and demand; Electric vehicle; Environmental economics; Economics; Microeconomics","score_opus":0.004037191692187724,"score_gpt":0.19094584503511286,"score_spread":0.18690865334292514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410235868","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29895136,0.020728743,0.0016836919,0.09861803,0.0019034728,0.0003807975,0.027108215,0.00029355427,0.5503322],"genre_scores_gemma":[0.91993695,0.009940696,0.0018494471,0.007767784,0.000116115145,0.00011343442,0.005711571,0.00015795951,0.054406065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901689,0.00057491945,0.00029142672,0.00039237653,0.0050056423,0.003566738],"domain_scores_gemma":[0.98748475,0.0015988611,0.0007876274,0.00023015868,0.008002917,0.0018956937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052210167,0.00036588983,0.0004856988,0.002831719,0.005394186,0.00707036,0.0017665934,0.0016838145,0.00715624],"category_scores_gemma":[0.015637152,0.00039288675,0.0008054609,0.0050032693,0.0016838474,0.0019081916,0.0015958499,0.0017878601,0.00043930218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008495621,0.00031275704,0.11278997,0.0008902145,0.00016311559,0.0010516234,0.0067204125,0.009797778,0.0011875624,0.37427402,0.4060656,0.08589741],"study_design_scores_gemma":[0.0001763546,0.000102534126,0.28313917,0.0012303315,0.00013471996,0.00017492782,0.014408667,0.0028448978,0.0010269585,0.0046660434,0.69180393,0.0002914698],"about_ca_topic_score_codex":0.99700636,"about_ca_topic_score_gemma":0.9969746,"teacher_disagreement_score":0.14540659,"about_ca_system_score_codex":0.14540659,"about_ca_system_score_gemma":0.31594986,"threshold_uncertainty_score":0.99120724},"labels":[],"label_agreement":null},{"id":"W4410278172","doi":"10.1016/j.isci.2025.112629","title":"From diesel to electric: potential of drayage trucks transition in Southern California","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of California Institute of Transportation Studies","keywords":"Truck; Diesel fuel; Environmental science; Chemistry; Engineering; Automotive engineering","score_opus":0.0023991252098761423,"score_gpt":0.18904250473288894,"score_spread":0.1866433795230128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410278172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973918,0.00003570906,0.00015129118,0.000028180948,0.0000012006367,0.000007366297,0.0004762309,0.000012857542,0.0018953611],"genre_scores_gemma":[0.99801886,0.000050081406,0.0001491476,0.000007942702,0.0000010846404,0.000004258442,0.00067114603,0.0000043334962,0.0010930907],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967885,0.000030509244,0.000016507374,0.000088391105,0.00011982857,0.00006576523],"domain_scores_gemma":[0.99915886,0.00021874848,0.00015160028,0.00003973378,0.0003601294,0.00007080442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004414774,0.00020347702,0.00020203136,0.00071630336,0.0005051931,0.00096521364,0.00040388101,0.00023554263,0.0013319814],"category_scores_gemma":[0.0013458368,0.0001552757,0.0002493157,0.00092901883,0.00026929064,0.00064372516,0.0004730422,0.00028582843,0.00015725262],"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":[0.00030289617,0.00007512909,0.9543041,0.00006639845,0.00006464031,0.00039444838,0.0008381021,0.019750325,0.0013832471,0.00032464918,0.0011540016,0.021342056],"study_design_scores_gemma":[0.00001833675,0.00021714099,0.96935856,0.00003480885,0.00005439516,0.00015993726,0.0060895593,0.017944496,0.001308191,0.00032742735,0.004449229,0.000037801266],"about_ca_topic_score_codex":0.2054598,"about_ca_topic_score_gemma":0.38714728,"teacher_disagreement_score":0.2054598,"about_ca_system_score_codex":0.0013831235,"about_ca_system_score_gemma":0.00058677234,"threshold_uncertainty_score":0.4085278},"labels":[],"label_agreement":null},{"id":"W4410588164","doi":"10.1016/j.enconman.2025.119965","title":"Coordinated load management of building clusters and electric vehicles charging: An economic model predictive control investigation in demand response","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Collège Shawinigan; University of Waterloo; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Model predictive control; Demand response; Control (management); Electric vehicle; Automotive engineering; Engineering; Computer science; Electricity; Electrical engineering","score_opus":0.0031585179291240143,"score_gpt":0.1848090849625558,"score_spread":0.18165056703343177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410588164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5807366,0.00024535594,0.40136123,0.0006500582,0.00004533818,0.000171216,0.00017871999,0.00031136905,0.016300175],"genre_scores_gemma":[0.9963477,0.000029534389,0.0031088137,0.000009509068,0.000004668778,0.000019966252,0.000018426885,0.000007376158,0.00045409595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956745,0.00016088095,0.00001065589,0.00006825628,0.00011019331,0.0000825512],"domain_scores_gemma":[0.99915504,0.00052747835,0.00010752621,0.000044949447,0.00012479423,0.000040149505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011270735,0.00069221674,0.00060090487,0.00037537634,0.00036908317,0.0009242724,0.000883417,0.00050452224,0.0008369261],"category_scores_gemma":[0.0019386818,0.00039213427,0.0003124445,0.0004599473,0.0005446949,0.00066176907,0.00056179886,0.00067117007,0.00007103809],"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":[0.000023478491,0.000017009554,0.00033656944,0.000005301483,0.0000055775777,0.000011925767,0.00000879226,0.99651754,0.00015143502,0.0011620491,0.00005816338,0.0017021232],"study_design_scores_gemma":[0.0000021326032,0.000009749817,0.0001280842,4.5166823e-7,0.0000016590399,0.0000011174142,0.0000054977454,0.99949026,0.00006530463,0.00025568187,0.00003903391,0.0000010295438],"about_ca_topic_score_codex":0.0391244,"about_ca_topic_score_gemma":0.026639922,"teacher_disagreement_score":0.0391244,"about_ca_system_score_codex":0.0017784982,"about_ca_system_score_gemma":0.0011939717,"threshold_uncertainty_score":0.07779336},"labels":[],"label_agreement":null},{"id":"W4410633995","doi":"10.1016/j.trc.2026.105803","title":"Joint Optimization of Electric Bus Scheduling and Fast Charging Infrastructure Location Planning","year":2025,"lang":"en","type":"preprint","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Excellence Research Chairs, Government of Canada","keywords":"Scheduling (production processes); Joint (building); Computer science; Electric vehicle; Operations research; Business; Operations management; Engineering; Civil engineering; Physics","score_opus":0.02597327861536237,"score_gpt":0.2961008195996363,"score_spread":0.27012754098427394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410633995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20381743,0.00072979706,0.7717989,0.0006568403,0.00012025798,0.00023435017,0.0005215933,0.00058371323,0.021537121],"genre_scores_gemma":[0.9215712,0.00033362722,0.071788475,0.00005634337,0.00003510327,0.00012730458,0.00025293257,0.00009598865,0.0057390793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927205,0.00031088287,0.000016266216,0.00011284468,0.00009369081,0.00019412333],"domain_scores_gemma":[0.9986785,0.0009257336,0.0001406216,0.000048823338,0.000100850186,0.000105482446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335633,0.0013145587,0.0012805515,0.00075315725,0.0003931436,0.0014712261,0.00083545846,0.0010078648,0.004809958],"category_scores_gemma":[0.0026516216,0.0007879884,0.00070889544,0.001379335,0.0008737169,0.0013870087,0.00089369423,0.0011494576,0.00037646698],"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":[0.00003737713,0.00002280636,0.0001288049,0.000019275707,0.0000104603805,0.000018237592,0.0000063245093,0.99259734,0.0001666187,0.0025175544,0.0002692609,0.004205988],"study_design_scores_gemma":[0.000013901789,0.00004044338,0.0001139583,0.00000322999,0.0000075864937,0.000007703965,0.0000139801505,0.9962721,0.0002686668,0.0029052964,0.00034972685,0.0000034182974],"about_ca_topic_score_codex":0.0094682295,"about_ca_topic_score_gemma":0.0070873667,"teacher_disagreement_score":0.0094682295,"about_ca_system_score_codex":0.0013842217,"about_ca_system_score_gemma":0.0023354369,"threshold_uncertainty_score":0.018826246},"labels":[],"label_agreement":null},{"id":"W4410640055","doi":"10.1109/tvt.2025.3571741","title":"Real-Time Multi-Ensemble Learning-Based Power Prediction for Energy Management of Dual-Source Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 de Sherbrooke","funders":"Trường Đại học Bách Khoa Hà Nội","keywords":"Dual (grammatical number); Ensemble learning; Computer science; Energy management; Power (physics); Energy (signal processing); Artificial intelligence; Engineering; Physics","score_opus":0.0031735557863612415,"score_gpt":0.19482502049778433,"score_spread":0.19165146471142308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410640055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12665911,0.00054662046,0.86880195,0.00021112256,0.000084503685,0.00002924293,0.00011070152,0.0009120273,0.0026446292],"genre_scores_gemma":[0.97290534,0.0001190154,0.026017876,0.000037617985,0.000020358844,0.000028990386,0.00014823096,0.000024141658,0.0006982607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000025421605,0.0000075548664,0.000040111718,0.000038378817,0.000020900796],"domain_scores_gemma":[0.999747,0.00010347433,0.000031603304,0.00002147272,0.00008123621,0.000015178985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004032485,0.0007230352,0.0005561774,0.00030386727,0.00021131763,0.00043042106,0.0005603731,0.00036954207,0.00055170094],"category_scores_gemma":[0.0009825939,0.00022628673,0.00034999003,0.00030334914,0.00015631707,0.00060212164,0.00042199405,0.0007257364,0.00014456625],"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":[0.00006309554,0.00006129542,0.0019456715,0.000020559277,0.00003217311,0.000028609733,0.000017644681,0.9382902,0.0019214749,0.0003976152,0.00062283454,0.05659877],"study_design_scores_gemma":[6.9516165e-7,0.000005155832,0.00013302633,6.907043e-7,0.0000016287912,0.0000017494522,0.0000017739712,0.9994629,0.00021627216,0.00012848379,0.000046752382,0.0000010191975],"about_ca_topic_score_codex":0.0047814217,"about_ca_topic_score_gemma":0.00543961,"teacher_disagreement_score":0.0047814217,"about_ca_system_score_codex":0.0003540515,"about_ca_system_score_gemma":0.00033448517,"threshold_uncertainty_score":0.009507179},"labels":[],"label_agreement":null},{"id":"W4410738687","doi":"10.1016/j.tre.2025.104090","title":"Scheduling intelligent charging robots for electric vehicle: A deep reinforcement learning approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Shenzhen Research Institute of Big Data; Research Grants Council, University Grants Committee; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Reinforcement learning; Robot; Scheduling (production processes); Computer science; Electric vehicle; Automotive engineering; Engineering; Artificial intelligence; Control engineering; Operations management","score_opus":0.044611884375734615,"score_gpt":0.3235374364672541,"score_spread":0.2789255520915195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410738687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05125997,0.0017964403,0.93686587,0.0008139518,0.0001872796,0.00005185205,0.0000841824,0.00049146893,0.0084489165],"genre_scores_gemma":[0.9500513,0.00065209216,0.04533718,0.00016144877,0.00008895495,0.00005359129,0.00007128391,0.000042851574,0.0035414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.000033922275,0.0000055794153,0.00003248523,0.000020417665,0.0000329534],"domain_scores_gemma":[0.99951625,0.0002964048,0.000057438392,0.000022544717,0.00007145713,0.00003591754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048540492,0.000701563,0.000899039,0.00028365178,0.00026914818,0.00058800995,0.0011317251,0.0008648591,0.002087249],"category_scores_gemma":[0.0011411954,0.0003905346,0.00041173564,0.00030541065,0.00051011617,0.0007103538,0.00047620665,0.0014083653,0.00024114749],"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":[0.000032824093,0.000032676675,0.00020931919,0.000036557078,0.000013423699,0.000015404135,0.000012075137,0.97461754,0.00042472698,0.0026418457,0.0004988639,0.021464795],"study_design_scores_gemma":[0.000004091594,0.000010832039,0.000040318744,0.000002939517,0.0000029232715,0.0000026230293,0.0000025119436,0.9981938,0.00008777078,0.001535254,0.00011566082,0.0000014004211],"about_ca_topic_score_codex":0.009281324,"about_ca_topic_score_gemma":0.007902629,"teacher_disagreement_score":0.009281324,"about_ca_system_score_codex":0.00083079,"about_ca_system_score_gemma":0.0010228943,"threshold_uncertainty_score":0.018454611},"labels":[],"label_agreement":null},{"id":"W4410762577","doi":"10.1016/j.cstp.2025.101504","title":"Baby steps or A leap of faith: Multiple stakeholders’ perspectives of zero-emission vehicle adoption in Saskatchewan, Canada","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"University of Regina","keywords":"Zero emission; Faith; Zero (linguistics); Political science; Engineering; Theology; Philosophy","score_opus":0.02073001626570285,"score_gpt":0.25294099899426625,"score_spread":0.23221098272856341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410762577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9483917,0.00052523485,0.00043552095,0.012925911,0.000033165423,0.00007172769,0.00016720104,0.000008491332,0.03744112],"genre_scores_gemma":[0.99459696,0.00039218078,0.00023100556,0.0007792651,0.0000017821995,0.000019388453,0.0000395624,0.000009574539,0.003930268],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9940201,0.0017205633,0.00013922853,0.00030962695,0.0009903802,0.0028201416],"domain_scores_gemma":[0.99043345,0.0033460567,0.0004213653,0.00018648748,0.0038513134,0.0017613454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045400714,0.00040483233,0.0005167013,0.001891529,0.026465839,0.010416377,0.002122659,0.0019445467,0.003341684],"category_scores_gemma":[0.0066867736,0.0004977071,0.00055548945,0.004757597,0.0095036365,0.0026723885,0.005396471,0.004427926,0.00013236747],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037822814,0.0003498155,0.22378106,0.0003072815,0.00016796637,0.008234393,0.60229176,0.0035911696,0.0042069536,0.10599644,0.011553119,0.039141778],"study_design_scores_gemma":[0.000011236422,0.00003279393,0.05000374,0.00017818846,0.0000400685,0.00011260735,0.93002015,0.0006581001,0.0004226944,0.001775301,0.016673641,0.00007140687],"about_ca_topic_score_codex":0.99592763,"about_ca_topic_score_gemma":0.9987393,"teacher_disagreement_score":0.18185641,"about_ca_system_score_codex":0.18185641,"about_ca_system_score_gemma":0.28262934,"threshold_uncertainty_score":0.9489306},"labels":[],"label_agreement":null},{"id":"W4410826016","doi":"10.1016/j.trd.2025.104833","title":"Electric vehicles: How do preferences differ for additional versus replacement household vehicles?","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric vehicle; Transport engineering; Automotive engineering; Business; Environmental science; Engineering; Physics","score_opus":0.03249936610012822,"score_gpt":0.25477531575059603,"score_spread":0.22227594965046782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410826016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977003,0.0002709114,0.00022475308,0.00031810213,0.000010592155,0.0000065837276,0.00021990982,0.0000013846766,0.0012474969],"genre_scores_gemma":[0.9990433,0.00014670314,0.00006795796,0.00008815523,0.000006811631,0.000003987538,0.00022302775,0.0000015921497,0.00041852216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926263,0.0002908032,0.000050884726,0.00014482831,0.000106635314,0.0001442319],"domain_scores_gemma":[0.99667066,0.0013844031,0.0010923436,0.00017817423,0.00028293437,0.0003915453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014536497,0.00017768245,0.00034873557,0.00044112466,0.00027357347,0.0014384318,0.00044775315,0.00075216993,0.005066448],"category_scores_gemma":[0.005811953,0.00017974379,0.0007220711,0.0007233522,0.0005470156,0.0013220501,0.00048826932,0.0010004329,0.0007751734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025333016,0.00019329622,0.98603374,0.000035665376,0.00023568126,0.00009691906,0.0016673207,0.00025620684,0.00022565194,0.0005746535,0.00048704876,0.009940434],"study_design_scores_gemma":[0.000013107146,0.0001817521,0.98677546,0.000038058562,0.00006871191,0.00016344021,0.009182047,0.0008787407,0.00014457577,0.0011053119,0.0014309066,0.000017792614],"about_ca_topic_score_codex":0.0077525177,"about_ca_topic_score_gemma":0.011364387,"teacher_disagreement_score":0.0077525177,"about_ca_system_score_codex":0.00029872046,"about_ca_system_score_gemma":0.0002499045,"threshold_uncertainty_score":0.016948998},"labels":[],"label_agreement":null},{"id":"W4410849375","doi":"10.1039/d4su00654b","title":"Meeting U.S. light-duty vehicle fleet climate targets with battery electric vehicles and electrofuels","year":2025,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Canada Research Chairs; Ford Motor Company","keywords":"Battery (electricity); Electric light; Automotive engineering; Aeronautics; Battery electric vehicle; Environmental science; Electric vehicle; Duty; Engineering; Transport engineering; Electrical engineering; Political science; Power (physics); Physics","score_opus":0.0019385277097847366,"score_gpt":0.1937102508515053,"score_spread":0.19177172314172058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410849375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48602784,0.0023656467,0.026574405,0.010841141,0.0016455856,0.0005225854,0.009011722,0.00083612744,0.46217498],"genre_scores_gemma":[0.9185865,0.00094694627,0.010305423,0.0015088653,0.000115746494,0.00021771353,0.0027513604,0.00007420184,0.06549329],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995596,0.000063994434,0.0000075922576,0.000037757363,0.00019197809,0.00013910036],"domain_scores_gemma":[0.99942434,0.000074908254,0.00003727178,0.000031513726,0.0003393589,0.00009262107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010740944,0.0005807747,0.0001893827,0.00041259042,0.0005828822,0.0008705068,0.0004312363,0.0013524102,0.0042122663],"category_scores_gemma":[0.0010142081,0.00010175697,0.00044599958,0.00037462503,0.0001574334,0.0008380082,0.00070021144,0.00069276744,0.0009456271],"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":[0.0017615558,0.0016639484,0.053322338,0.00076480437,0.00036189458,0.0012268099,0.0005420982,0.14929718,0.10295489,0.09075871,0.29205546,0.30529025],"study_design_scores_gemma":[0.0002501582,0.0038652185,0.113836095,0.0002824604,0.00028256167,0.0007328012,0.0017196558,0.09748725,0.090872735,0.024453204,0.6660579,0.00015994618],"about_ca_topic_score_codex":0.030344104,"about_ca_topic_score_gemma":0.070657015,"teacher_disagreement_score":0.030344104,"about_ca_system_score_codex":0.0013878134,"about_ca_system_score_gemma":0.0033820132,"threshold_uncertainty_score":0.06033498},"labels":[],"label_agreement":null},{"id":"W4410871042","doi":"10.1016/j.ref.2025.100723","title":"Coordinated scheduling of renewable energy micro-grids through coupled energy flow and battery delivery logistics","year":2025,"lang":"en","type":"article","venue":"Renewable energy focus","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"State Grid Fujian Electric Power Company","keywords":"Renewable energy; Automotive engineering; Scheduling (production processes); Flow battery; Environmental economics; Business; Computer science; Battery (electricity); Engineering; Economics; Operations management; Electrical engineering; Power (physics)","score_opus":0.005196165534730275,"score_gpt":0.18807500543791866,"score_spread":0.1828788399031884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410871042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23949887,0.00047732005,0.7404595,0.0007058313,0.00025878605,0.00016835853,0.00025279875,0.000746343,0.017432282],"genre_scores_gemma":[0.9859535,0.0000818576,0.012126138,0.00002931756,0.00002421257,0.000035551537,0.000056526922,0.0000386303,0.0016541469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996146,0.00011852999,0.00001674284,0.00007996937,0.00006789386,0.000102192884],"domain_scores_gemma":[0.999348,0.00031592968,0.00010029922,0.000039747025,0.00010491268,0.000091028276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005860371,0.0004777896,0.0008450345,0.0003371935,0.0005215535,0.0016642206,0.0009732131,0.00048361323,0.002798516],"category_scores_gemma":[0.0016807106,0.0004505717,0.0003249435,0.000611588,0.00041189167,0.0010478381,0.0009829215,0.0005888397,0.00027703922],"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":[0.00012856042,0.000035136512,0.00042289964,0.00002210877,0.000017349766,0.0000434369,0.000032128337,0.98073846,0.00096488034,0.0071903323,0.0007448285,0.00965979],"study_design_scores_gemma":[0.000010580885,0.000020538497,0.00012360314,0.0000018353605,0.0000046681066,0.000004571034,0.000020764888,0.99656653,0.00023330645,0.0026554924,0.00035495142,0.0000031245406],"about_ca_topic_score_codex":0.007055008,"about_ca_topic_score_gemma":0.009221182,"teacher_disagreement_score":0.007055008,"about_ca_system_score_codex":0.0011496766,"about_ca_system_score_gemma":0.0015860912,"threshold_uncertainty_score":0.014027894},"labels":[],"label_agreement":null},{"id":"W4410887455","doi":"10.1109/syscon64521.2025.11014850","title":"Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reinforcement learning; Computer science; Reinforcement; Load balancing (electrical power); Artificial intelligence; Engineering; Structural engineering","score_opus":0.003459539959174412,"score_gpt":0.2211402526903137,"score_spread":0.2176807127311393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410887455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06258026,0.00022962982,0.93223834,0.00031471983,0.000064636595,0.000070445705,0.00014799417,0.0011706772,0.0031832778],"genre_scores_gemma":[0.9349033,0.00008340329,0.06283647,0.00008420072,0.000038270882,0.000058938527,0.00018863817,0.000059162547,0.0017476671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963844,0.00009504998,0.00001621873,0.00011027736,0.0000782564,0.00006167167],"domain_scores_gemma":[0.99933165,0.00032781067,0.00008749429,0.00007816125,0.00012663189,0.00004826988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076217734,0.0007950637,0.0007573593,0.0005115784,0.00036366255,0.0006769984,0.0016508152,0.0006322794,0.0014027635],"category_scores_gemma":[0.0022810618,0.0003336959,0.0004643414,0.00051462976,0.0005132581,0.0010651093,0.0007904755,0.0011529701,0.00025578708],"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":[0.000057251742,0.00008077917,0.0015404398,0.000024278861,0.00002574425,0.00004179294,0.000027455255,0.9500205,0.001364521,0.002124691,0.00085598347,0.043836582],"study_design_scores_gemma":[0.000003061742,0.000006984391,0.000073151576,8.7655314e-7,0.0000017977472,0.00000412252,0.000003034432,0.9988154,0.00020378004,0.00076047616,0.00012559867,0.0000017053728],"about_ca_topic_score_codex":0.010435381,"about_ca_topic_score_gemma":0.0121115465,"teacher_disagreement_score":0.010435381,"about_ca_system_score_codex":0.0010584041,"about_ca_system_score_gemma":0.00087586074,"threshold_uncertainty_score":0.02074927},"labels":[],"label_agreement":null},{"id":"W4410890245","doi":"10.5267/j.ijiec.2025.3.003","title":"To cooperate or not? The cooperation conditions of different new energy vehicle manufacturers on power battery under government subsid","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation","keywords":"Battery (electricity); Government (linguistics); Power (physics); Business; Automotive engineering; New energy; Environmental economics; Industrial organization; Transport engineering; Engineering; Economics; Mechanical engineering","score_opus":0.011391076513122756,"score_gpt":0.23199238067746775,"score_spread":0.22060130416434498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410890245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91944855,0.00039297066,0.033527788,0.0039050812,0.000061661885,0.00017897095,0.00027299338,0.00005380785,0.042158138],"genre_scores_gemma":[0.9973658,0.0001452698,0.000920139,0.00011424334,0.000012649813,0.000033454813,0.000030157165,0.0000035364062,0.00137484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976725,0.00068305753,0.000068270885,0.000373704,0.00018909901,0.001013323],"domain_scores_gemma":[0.99125236,0.004971222,0.0016173663,0.00025027775,0.00070488005,0.0012038776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002918979,0.00043284745,0.0009867728,0.0006211784,0.0011881861,0.0019509029,0.0009993707,0.0017232782,0.008042396],"category_scores_gemma":[0.01022227,0.0004101205,0.000932027,0.00040538012,0.0024524983,0.0034811443,0.0013556592,0.0016915374,0.00041109163],"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":[0.0016641761,0.0008061548,0.03411538,0.00055453996,0.00032548077,0.0075415163,0.001924435,0.33042136,0.018550389,0.57043475,0.011216452,0.022445424],"study_design_scores_gemma":[0.0006055626,0.00084533065,0.028492056,0.00016779189,0.00047299202,0.0019312323,0.01006177,0.6655437,0.004177786,0.28153437,0.0059083654,0.00025903864],"about_ca_topic_score_codex":0.008959894,"about_ca_topic_score_gemma":0.008399567,"teacher_disagreement_score":0.008959894,"about_ca_system_score_codex":0.0022784849,"about_ca_system_score_gemma":0.0033075586,"threshold_uncertainty_score":0.026904464},"labels":[],"label_agreement":null},{"id":"W4410915417","doi":"10.1007/978-981-96-5937-1_4","title":"Optimizing EV Charging Locations for Full Coverage: D400 and D550 Highways Case in Türkiye","year":2025,"lang":"en","type":"book-chapter","venue":"Accounting, finance, sustainability, governance & fraud","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Environmental science; Transport engineering; Engineering","score_opus":0.003836291545197009,"score_gpt":0.20423557479729113,"score_spread":0.2003992832520941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410915417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8117466,0.0009527394,0.008437065,0.00713445,0.00011261345,0.000095512194,0.0005702514,0.000091940296,0.17085879],"genre_scores_gemma":[0.9889107,0.00015518877,0.0008845443,0.00010559011,0.000012811611,0.00001475782,0.00006096796,0.000011641622,0.009843785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99938846,0.00015568988,0.000010844373,0.00005748809,0.000047099024,0.00034044948],"domain_scores_gemma":[0.9994098,0.00032909933,0.000048550675,0.000027436967,0.00008986159,0.000095291056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006812526,0.00041593803,0.00047115525,0.00045950562,0.0022117938,0.002508511,0.0011630511,0.0034610757,0.010412863],"category_scores_gemma":[0.0015549583,0.00034508455,0.0005664782,0.0009716575,0.0011030849,0.0026296482,0.0010619815,0.0015769716,0.00039522763],"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":[0.001127639,0.0005711186,0.023237504,0.00024036082,0.00012532153,0.016941885,0.0023162786,0.40274686,0.0025701453,0.4206138,0.06801844,0.06149064],"study_design_scores_gemma":[0.00048384911,0.0005962285,0.031774476,0.00020879229,0.00030206758,0.0031537928,0.039041594,0.6304108,0.0035425215,0.1728155,0.117349796,0.0003206337],"about_ca_topic_score_codex":0.07737989,"about_ca_topic_score_gemma":0.08724289,"teacher_disagreement_score":0.07737989,"about_ca_system_score_codex":0.0036461912,"about_ca_system_score_gemma":0.0023228487,"threshold_uncertainty_score":0.15385896},"labels":[],"label_agreement":null},{"id":"W4410971689","doi":"10.1016/j.segan.2025.101756","title":"Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","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":"University of Alberta","funders":"Center for Nonlinear Systems, Chennai Institute of Technology","keywords":"Electric vehicle; Charging station; Fuzzy logic; Set (abstract data type); Computer science; Engineering; Operations research; Artificial intelligence; Physics; Power (physics)","score_opus":0.00301295849043275,"score_gpt":0.19867004265523067,"score_spread":0.1956570841647979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410971689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031665303,0.00037660537,0.95967966,0.0002507778,0.00015398917,0.00012013248,0.00016179254,0.0003312939,0.0072605056],"genre_scores_gemma":[0.95473826,0.00018239794,0.041742627,0.000120363984,0.000058275426,0.00017769418,0.00012402142,0.00001868487,0.0028376174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896955,0.00036638518,0.00007602947,0.00020497793,0.00023672442,0.00014632008],"domain_scores_gemma":[0.9990349,0.0005077043,0.0000983155,0.00002966478,0.00025962334,0.00006982153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017994514,0.00095348404,0.0020120065,0.0007830395,0.00075524475,0.0024026826,0.0013164637,0.0013827104,0.0038097696],"category_scores_gemma":[0.00219137,0.0005950006,0.0006987463,0.0009015013,0.0007143383,0.000954192,0.0010771295,0.0009758515,0.00045176514],"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":[0.0003005392,0.00009492413,0.00032529334,0.0001251365,0.00009259568,0.00013483415,0.00009305733,0.96156,0.001505051,0.007976802,0.0012049619,0.026586866],"study_design_scores_gemma":[0.000017295393,0.00004181111,0.000051323834,0.0000069505645,0.000012575552,0.000007481342,0.000008335802,0.99787974,0.00020695975,0.0016128654,0.00014829404,0.000006336859],"about_ca_topic_score_codex":0.009267671,"about_ca_topic_score_gemma":0.0067608887,"teacher_disagreement_score":0.009267671,"about_ca_system_score_codex":0.0016512052,"about_ca_system_score_gemma":0.0012756513,"threshold_uncertainty_score":0.018427432},"labels":[],"label_agreement":null},{"id":"W4411024422","doi":"10.1016/j.ijtst.2025.05.008","title":"Where to plug in? Assessing the users’ preferences for EV charging location","year":2025,"lang":"en","type":"article","venue":"International Journal of Transportation Science and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canada Foundation for Innovation","keywords":"Plug-in; Business; Transport engineering; Computer science; Engineering; Operating system","score_opus":0.008238396777302223,"score_gpt":0.2843324515480565,"score_spread":0.27609405477075427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411024422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634594,0.00008843851,0.00025603082,0.00008436335,0.000004488525,0.000015290329,0.00020368742,0.0000067668584,0.0029949122],"genre_scores_gemma":[0.9979972,0.00013148495,0.00044408944,0.000039274695,0.00000250945,0.000010760394,0.00019733392,0.0000026778787,0.0011747661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996008,0.00010891492,0.00003838713,0.000039242364,0.00012011703,0.00009249635],"domain_scores_gemma":[0.99837106,0.00040220327,0.00035628697,0.00007301897,0.00052253756,0.00027482957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005901536,0.00014980897,0.00017712169,0.00048807132,0.00047777712,0.001111423,0.0003134885,0.00032300508,0.0029288882],"category_scores_gemma":[0.0031949012,0.000114733,0.00023679933,0.00060423237,0.00025869216,0.0004864719,0.0003306873,0.00029064287,0.0006817286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020015876,0.00011305788,0.9600153,0.00007583155,0.000040949002,0.00020063846,0.0030624873,0.00021327606,0.001028427,0.000110322275,0.0011433818,0.03379615],"study_design_scores_gemma":[0.0000058469527,0.00011415067,0.97324413,0.000047407924,0.000035690053,0.00028339858,0.020238966,0.0013884321,0.00034769182,0.000113536924,0.0041506467,0.000030208234],"about_ca_topic_score_codex":0.10336583,"about_ca_topic_score_gemma":0.22617193,"teacher_disagreement_score":0.10336583,"about_ca_system_score_codex":0.0005822673,"about_ca_system_score_gemma":0.0004977868,"threshold_uncertainty_score":0.20552838},"labels":[],"label_agreement":null},{"id":"W4411079561","doi":"10.1016/j.tranpol.2025.06.008","title":"Electric vehicles and sustainable development goals: A multi-level governance analysis","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Sustainable development; Business; Transport engineering; Environmental economics; Industrial organization; Engineering; Economics; Political science; Finance","score_opus":0.00689549538458423,"score_gpt":0.2255153441424088,"score_spread":0.2186198487578246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411079561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74629927,0.0023075477,0.064541966,0.014978187,0.000054621865,0.00028365623,0.00060340593,0.000051271014,0.17088011],"genre_scores_gemma":[0.9952473,0.0003870486,0.0028431665,0.00011355623,0.0000069101297,0.000033609118,0.00007908029,0.000005746356,0.0012835453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9980301,0.00089598796,0.000094872805,0.00016607813,0.00043247515,0.00038053567],"domain_scores_gemma":[0.9972218,0.0011705665,0.0006138009,0.00019292453,0.0005994862,0.00020136287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364273,0.00016459708,0.0002099087,0.0016787642,0.000816367,0.0038799604,0.00029401545,0.0004995379,0.0020253006],"category_scores_gemma":[0.0046152095,0.00013756462,0.00034356653,0.0023607104,0.002360651,0.0036172485,0.002582451,0.00066722033,0.00010097248],"study_design_candidate":"qualitative","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":[0.000017065151,0.000052687676,0.08310639,0.00016788577,0.00006652697,0.00020159996,0.0034593092,0.018753722,0.00039922236,0.8574915,0.002318961,0.03396521],"study_design_scores_gemma":[0.00002399942,0.00012525941,0.24106663,0.001027785,0.00018150794,0.0001858961,0.03562845,0.049678948,0.0013674323,0.5395928,0.13106237,0.000059010345],"about_ca_topic_score_codex":0.019267565,"about_ca_topic_score_gemma":0.020916125,"teacher_disagreement_score":0.019267565,"about_ca_system_score_codex":0.006584751,"about_ca_system_score_gemma":0.004834833,"threshold_uncertainty_score":0.047775924},"labels":[],"label_agreement":null},{"id":"W4411112234","doi":"10.1016/j.trc.2025.105175","title":"Optimizing fast charger location for hybrid electric bus transit networks","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Conseil Régional du Centre-Val de Loire; Alliance de recherche numérique du Canada; Canada First Research Excellence Fund; HEC Montréal; Healthcare Excellence Canada","keywords":"Transit (satellite); Transport engineering; Public transport; Computer science; Automotive engineering; Electric vehicle; Engineering; Telecommunications; Power (physics)","score_opus":0.017683696110908097,"score_gpt":0.2870532045404305,"score_spread":0.2693695084295224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411112234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7132731,0.0008123309,0.27336988,0.00073096214,0.000078181496,0.00033087796,0.0008126284,0.0008172098,0.009774804],"genre_scores_gemma":[0.92719394,0.00019603343,0.0682562,0.00007974309,0.000025049168,0.00013142737,0.00043949226,0.0000961248,0.0035819209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994723,0.00024918045,0.000013082645,0.00008202512,0.000046712128,0.00013664161],"domain_scores_gemma":[0.9973519,0.0020157534,0.00023134034,0.0000741917,0.00011707478,0.00020964854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016436959,0.0016271919,0.001560505,0.000954507,0.0005565762,0.0017624552,0.001580484,0.0016598895,0.0057696975],"category_scores_gemma":[0.0032791705,0.00094744656,0.0007730636,0.0010369004,0.00088988873,0.001380732,0.0009986017,0.0011176687,0.0003641536],"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":[0.00008317459,0.0000524473,0.00047717235,0.000032280273,0.000014798562,0.000033601886,0.00001535617,0.99347997,0.00024894346,0.00095704617,0.00035062624,0.0042544575],"study_design_scores_gemma":[0.000026048932,0.000039890398,0.00011714326,0.0000036461158,0.0000061350056,0.00000861251,0.000020547548,0.99886453,0.00015295812,0.0006272503,0.00013082179,0.0000023760986],"about_ca_topic_score_codex":0.013565071,"about_ca_topic_score_gemma":0.012075438,"teacher_disagreement_score":0.013565071,"about_ca_system_score_codex":0.0022318445,"about_ca_system_score_gemma":0.0018666507,"threshold_uncertainty_score":0.026972234},"labels":[],"label_agreement":null},{"id":"W4411123838","doi":"10.2139/ssrn.5166522","title":"Impact of the Car Fleet Evolution on Electricity Demand in Québec","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Electricity; Electricity demand; Economics; Business; Engineering; Electricity generation; Power (physics); Electrical engineering; Physics","score_opus":0.003302142160456617,"score_gpt":0.21687261982940773,"score_spread":0.2135704776689511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411123838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833624,0.00034545295,0.00026355393,0.0010302821,0.000029531857,0.000010898854,0.006721391,0.000033647506,0.008202934],"genre_scores_gemma":[0.993433,0.00012760807,0.000053794043,0.000058743313,0.0000052583873,0.0000022364839,0.0015230668,0.000012077411,0.0047842995],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996369,0.000060069302,0.000014335387,0.000058937687,0.000082890336,0.00014684517],"domain_scores_gemma":[0.99858224,0.0003138454,0.00015393134,0.000045127297,0.00066809944,0.00023685684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268047,0.00028889606,0.0003729586,0.00075439346,0.00075302296,0.0020215395,0.00078147143,0.00076749164,0.008394119],"category_scores_gemma":[0.0019932855,0.00024016429,0.00051847764,0.0014608254,0.00044076404,0.00072176807,0.00047927533,0.0007560743,0.00045953933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010016604,0.00022013203,0.71276385,0.00011465401,0.00048246016,0.00178509,0.0004295538,0.23850963,0.0036800143,0.0050976686,0.015409548,0.020505847],"study_design_scores_gemma":[0.00003199591,0.000088517605,0.83869725,0.000036332574,0.000080198115,0.00011055039,0.0016224468,0.14815724,0.00070527144,0.0003491242,0.010060282,0.00006087231],"about_ca_topic_score_codex":0.9822527,"about_ca_topic_score_gemma":0.9831407,"teacher_disagreement_score":0.021066234,"about_ca_system_score_codex":0.021066234,"about_ca_system_score_gemma":0.006049222,"threshold_uncertainty_score":0.15284693},"labels":[],"label_agreement":null},{"id":"W4411257807","doi":"10.2139/ssrn.5292454","title":"Electric Vehicle Charging Decisions with Travel Distance: Novel Clustering Algorithm Integrating Spatial-Temporal Charging and Trip Data","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Electric vehicle; Computer science; Travel time; Algorithm; Data mining; Transport engineering; Artificial intelligence; Engineering; Physics","score_opus":0.011856293812903625,"score_gpt":0.23547649171790216,"score_spread":0.22362019790499854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411257807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06684368,0.0005775183,0.92777073,0.0003950867,0.00018513316,0.00013365017,0.0003518142,0.0010136854,0.0027286473],"genre_scores_gemma":[0.6260359,0.0003437262,0.36730745,0.00017981777,0.00022374008,0.00015774602,0.0010136259,0.00011720162,0.0046207123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993963,0.00009703769,0.000047516714,0.00021019192,0.00016970302,0.00007926734],"domain_scores_gemma":[0.99913883,0.00025572654,0.00008972995,0.000101171274,0.00034401793,0.00007059708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011394081,0.0007514653,0.0014112548,0.0011025388,0.00063664734,0.0011328657,0.0025487682,0.0012736674,0.0011564173],"category_scores_gemma":[0.0024262988,0.00049009925,0.0007631857,0.0024302204,0.00031424017,0.0012621852,0.000952282,0.0008234673,0.0005978551],"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":[0.00039048275,0.0003521921,0.0047638593,0.0000924055,0.0002374384,0.000054598902,0.00009109356,0.66219044,0.0037389805,0.0028916996,0.0047923434,0.32040453],"study_design_scores_gemma":[0.000011309132,0.000018886854,0.0004584475,0.0000031460622,0.00001554143,0.00001962267,0.0000139391805,0.9978644,0.00052405003,0.00071032485,0.00035315013,0.0000071911822],"about_ca_topic_score_codex":0.015098062,"about_ca_topic_score_gemma":0.019478606,"teacher_disagreement_score":0.015098062,"about_ca_system_score_codex":0.0010573006,"about_ca_system_score_gemma":0.0019155863,"threshold_uncertainty_score":0.030020356},"labels":[],"label_agreement":null},{"id":"W4411522455","doi":"10.1016/j.scs.2025.106561","title":"Sharing private charging piles to develop electric vehicle charging and vehicle-to-grid services","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric vehicle; Grid; Automotive engineering; Transport engineering; Engineering; Vehicle-to-grid; Physics; Power (physics)","score_opus":0.002830147297576422,"score_gpt":0.19112977184342636,"score_spread":0.18829962454584995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411522455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37637407,0.00056544266,0.574313,0.001216272,0.00014095788,0.00031798054,0.0015639688,0.00055807055,0.04495028],"genre_scores_gemma":[0.96891767,0.00023391508,0.023336854,0.0000318341,0.000010219876,0.000056757788,0.0004083226,0.00003904389,0.006965467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945635,0.0001929468,0.000016528633,0.000094958195,0.00012866003,0.000110563466],"domain_scores_gemma":[0.99970824,0.000095562624,0.000046929832,0.000053507552,0.00006643734,0.000029327104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000549586,0.00052113435,0.0005224695,0.00039048266,0.0005126665,0.0012771337,0.00091191445,0.00078796997,0.0040842798],"category_scores_gemma":[0.0012320423,0.00041479708,0.0007709666,0.0011612899,0.0004351539,0.0014587208,0.00069536,0.00083534495,0.00040925623],"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":[0.00003586738,0.00006599292,0.0022704243,0.00003391551,0.00002663201,0.00007848626,0.000038117792,0.96442866,0.00080573064,0.014079906,0.001147378,0.016988963],"study_design_scores_gemma":[0.000010384287,0.000054617358,0.0017061605,0.00000807684,0.000018779034,0.000031238527,0.00011554515,0.98663867,0.00076294463,0.0064630187,0.004177842,0.000012755435],"about_ca_topic_score_codex":0.04970791,"about_ca_topic_score_gemma":0.096162565,"teacher_disagreement_score":0.04970791,"about_ca_system_score_codex":0.0027964504,"about_ca_system_score_gemma":0.0031958595,"threshold_uncertainty_score":0.0988372},"labels":[],"label_agreement":null},{"id":"W4411600821","doi":"10.1109/tvt.2025.3582827","title":"Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management With Clutch Engagement Decision Control via Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province","keywords":"Reinforcement learning; Clutch; Energy management; Control (management); Cruise control; Electric vehicle; Adaptive control; Reinforcement; Automotive engineering; Engineering; Cruise; Control engineering; Computer science; Energy (signal processing); Artificial intelligence; Aerospace engineering","score_opus":0.002301774195635499,"score_gpt":0.1818323185056692,"score_spread":0.1795305443100337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411600821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041603103,0.0002935625,0.9539702,0.000174232,0.00004408112,0.000046663354,0.000015885662,0.0002639294,0.0035883063],"genre_scores_gemma":[0.97431755,0.00008500676,0.023645097,0.00005211242,0.000018036231,0.00008363667,0.000024246756,0.00001866635,0.0017556766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963903,0.000093240225,0.000014480157,0.000088899964,0.00010272146,0.00006154862],"domain_scores_gemma":[0.99945396,0.00027293945,0.00010542994,0.000028956789,0.000107457396,0.000031237993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078450114,0.0008214442,0.000780224,0.00029565676,0.00030247236,0.0006290972,0.00071188813,0.00066478585,0.00090812444],"category_scores_gemma":[0.001287923,0.00038687134,0.00048037714,0.00028874626,0.0007423802,0.0004894478,0.0008702849,0.0008386204,0.00013817514],"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":[0.000026120317,0.000021918619,0.00023400561,0.000018203262,0.00001780483,0.000023033515,0.000013606517,0.98963445,0.00066274055,0.0012171112,0.00013546913,0.007995462],"study_design_scores_gemma":[0.0000035690314,0.00001390335,0.0000344689,9.63957e-7,0.0000019683935,0.000002287214,0.0000011659564,0.99952567,0.00011442285,0.00023197304,0.00006837565,0.000001203186],"about_ca_topic_score_codex":0.008770324,"about_ca_topic_score_gemma":0.0050912607,"teacher_disagreement_score":0.008770324,"about_ca_system_score_codex":0.0005324279,"about_ca_system_score_gemma":0.0010481073,"threshold_uncertainty_score":0.01743853},"labels":[],"label_agreement":null},{"id":"W4411628205","doi":"10.1016/j.geits.2025.100333","title":"Integrated bidirectional electric vehicle battery network for sustainable communities: A planning framework","year":2025,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Battery (electricity); Electric vehicle; Computer science; Automotive engineering; Business; Engineering; Power (physics); Physics","score_opus":0.007627319691434367,"score_gpt":0.21311425121052935,"score_spread":0.20548693151909497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411628205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013814937,0.0004666589,0.95023596,0.0010131741,0.000041964988,0.00022816808,0.00057103555,0.00034827297,0.033279806],"genre_scores_gemma":[0.6029104,0.0016544036,0.38010332,0.00013988797,0.00004008335,0.0008971791,0.00085411355,0.00010239021,0.0132982535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964595,0.00016312272,0.000010468063,0.00004993595,0.000086272696,0.00004427322],"domain_scores_gemma":[0.9997322,0.000081085396,0.00003104388,0.000015217779,0.000096269534,0.000044231707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000822337,0.0006591571,0.00032334,0.00080561015,0.00067678135,0.0016352867,0.0014742174,0.0007152212,0.004188898],"category_scores_gemma":[0.0011181638,0.00035402385,0.0004886087,0.0010544308,0.000532601,0.0016029258,0.0017389163,0.00068839354,0.00037975147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012332267,0.000022663698,0.00066077325,0.000051784693,0.000013886397,0.00012703057,0.00008139577,0.9007922,0.00030977,0.07216333,0.0015280844,0.02423674],"study_design_scores_gemma":[0.000004744147,0.00001908061,0.00012072986,0.000029528763,0.000008567535,0.000033003285,0.00021354448,0.96227,0.00019491381,0.030885387,0.0062103574,0.0000101693295],"about_ca_topic_score_codex":0.023470288,"about_ca_topic_score_gemma":0.03843467,"teacher_disagreement_score":0.023470288,"about_ca_system_score_codex":0.0020687112,"about_ca_system_score_gemma":0.004423285,"threshold_uncertainty_score":0.046667337},"labels":[],"label_agreement":null},{"id":"W4411669709","doi":"10.3390/su17135839","title":"The Road to 2030: Combining Life Cycle Assessment and Multi-Criteria Decision Analysis to Evaluate Commuting Alternatives in a University Context","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Context (archaeology); Life-cycle assessment; Multiple-criteria decision analysis; Transport engineering; Engineering; Computer science; Operations research; Economics; Geography","score_opus":0.007630457601687316,"score_gpt":0.30946662914499273,"score_spread":0.30183617154330544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411669709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5942746,0.002864153,0.36859837,0.001738253,0.00012620084,0.0015956555,0.0009890021,0.0003081117,0.02950581],"genre_scores_gemma":[0.8642672,0.0005038925,0.13374333,0.000090042326,0.000016041153,0.00040878827,0.00028771232,0.000025260786,0.0006577339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949065,0.0037077952,0.00014229007,0.00023054388,0.0007404873,0.00027233473],"domain_scores_gemma":[0.99720687,0.0018718098,0.00022875538,0.00010355256,0.00041612456,0.00017296072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008281727,0.0015660014,0.0010981236,0.0050471597,0.0008869725,0.003768196,0.0010023238,0.0016228781,0.0013870535],"category_scores_gemma":[0.0073183673,0.00045545655,0.0022033942,0.00249529,0.0010128374,0.0022331083,0.0017597125,0.0010592297,0.00014563631],"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":[0.00035860087,0.0005856449,0.009608947,0.00041555482,0.0005474934,0.0003257919,0.00030422118,0.8695739,0.0017818417,0.021121899,0.00091421854,0.09446192],"study_design_scores_gemma":[0.00003782387,0.0005729534,0.0031485148,0.00014083431,0.00010235319,0.000063487656,0.0007237659,0.97513574,0.001385696,0.016198482,0.0024130524,0.00007734494],"about_ca_topic_score_codex":0.0121683935,"about_ca_topic_score_gemma":0.02303828,"teacher_disagreement_score":0.0121683935,"about_ca_system_score_codex":0.004531879,"about_ca_system_score_gemma":0.004783013,"threshold_uncertainty_score":0.043798447},"labels":[],"label_agreement":null},{"id":"W4411690837","doi":"10.1080/00036846.2025.2516164","title":"The customer knowledge gap and electric vehicle adoption: a meta-Analytic Review and future Research agenda","year":2025,"lang":"en","type":"review","venue":"Applied Economics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"Social Sciences and Humanities Research Council of Canada; Cape Breton University","keywords":"Economics; Electric vehicle; Industrial organization; Marketing; Business; Management science; Physics","score_opus":0.06969047413161737,"score_gpt":0.32389322696682243,"score_spread":0.25420275283520505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690837","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010975138,0.99706274,0.00048299707,0.00079047563,0.00011266608,0.00008663283,0.00015069789,0.00000881242,0.00020739842],"genre_scores_gemma":[0.036689024,0.9588382,0.0022070296,0.0010874325,0.00024075754,0.0005118699,0.00030746878,0.000014037967,0.00010428456],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9779073,0.0114950845,0.0059466274,0.0015658023,0.0025780704,0.00050715636],"domain_scores_gemma":[0.8536542,0.1261146,0.010567088,0.0022959274,0.006870852,0.00049729185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.046750624,0.002023944,0.009910857,0.01109917,0.00063773926,0.005192599,0.002824933,0.0024165716,0.0037934158],"category_scores_gemma":[0.11496093,0.001420721,0.020676846,0.010679022,0.0012003852,0.004278566,0.0020273216,0.002431801,0.00030698383],"study_design_candidate":"meta_analysis","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":[0.0006065718,0.00006439707,0.00905558,0.7386754,0.14068781,0.0002079221,0.00059404736,0.0006525479,0.00020960842,0.001703434,0.0022581764,0.10528444],"study_design_scores_gemma":[0.00026056022,0.00040490433,0.012483575,0.44904998,0.5100649,0.0004380553,0.0007201735,0.0004671603,0.00033464603,0.0030826319,0.022621507,0.00007181455],"about_ca_topic_score_codex":0.0067274417,"about_ca_topic_score_gemma":0.01457792,"teacher_disagreement_score":0.046750624,"about_ca_system_score_codex":0.0035545283,"about_ca_system_score_gemma":0.011070965,"threshold_uncertainty_score":0.24724388},"labels":[],"label_agreement":null},{"id":"W4411745429","doi":"10.1007/978-3-031-95976-9_7","title":"A Column Generation Heuristic for Multi-depot Electric Bus Scheduling","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Computer science; Column generation; Scheduling (production processes); Depot; Heuristic; Mathematical optimization; Operations research; Artificial intelligence; Mathematics","score_opus":0.015499451263766931,"score_gpt":0.2327512885478724,"score_spread":0.21725183728410546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411745429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078866586,0.0014932835,0.89153767,0.0005747551,0.0005608857,0.00054117583,0.0009588972,0.002743319,0.022723438],"genre_scores_gemma":[0.48696443,0.0005924055,0.49782446,0.00035907349,0.00015392675,0.00041282427,0.0010603712,0.00041282902,0.0122196665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966323,0.00011466287,0.000010575693,0.00004679253,0.00007880026,0.00008597136],"domain_scores_gemma":[0.9994992,0.00027322682,0.000040420477,0.000038964856,0.00009286709,0.000055405475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051764905,0.0011027298,0.0013703738,0.0008986117,0.00068628165,0.0009156731,0.0014882847,0.0009744805,0.008256719],"category_scores_gemma":[0.00084672903,0.0007650513,0.00069412217,0.0016902585,0.00045963112,0.00070803496,0.0007335638,0.0008965378,0.0008745847],"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":[0.00018784808,0.00018519186,0.00017901373,0.00013763538,0.000039972172,0.00010517935,0.00003240004,0.89616,0.003202747,0.003016005,0.0072831917,0.08947075],"study_design_scores_gemma":[0.000047790578,0.00007140428,0.00012286232,0.000008835177,0.000014398217,0.00001729047,0.000011132087,0.99640816,0.0006957979,0.0015492473,0.001043194,0.0000098325245],"about_ca_topic_score_codex":0.010947339,"about_ca_topic_score_gemma":0.012535332,"teacher_disagreement_score":0.010947339,"about_ca_system_score_codex":0.0011177879,"about_ca_system_score_gemma":0.001455756,"threshold_uncertainty_score":0.027621508},"labels":[],"label_agreement":null},{"id":"W4411834680","doi":"10.62177/jaet.v2i3.478","title":"Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting","year":2025,"lang":"en","type":"article","venue":"Journal of advances in engineering and technology.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Degradation (telecommunications); Computer science; Energy (signal processing); Reliability engineering; Automotive engineering; Environmental science; Engineering; Telecommunications; Statistics; Mathematics; Physics; Power (physics)","score_opus":0.005331069096937814,"score_gpt":0.20642415165389813,"score_spread":0.20109308255696032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411834680","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059608705,0.0007288225,0.93478006,0.0015294421,0.00007237899,0.00003793533,0.00028376305,0.0006707719,0.0022881664],"genre_scores_gemma":[0.9388669,0.0003874329,0.05899193,0.000214692,0.000089255554,0.00005163287,0.0003031916,0.000044679924,0.001050359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972016,0.00011149598,0.000016682669,0.00007154829,0.000053793643,0.000026356538],"domain_scores_gemma":[0.99840635,0.0010387718,0.00019926812,0.00014970309,0.00015524984,0.000050698633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010347177,0.00068441266,0.0004735132,0.0005679798,0.0002315504,0.0009024879,0.0009838847,0.00076107663,0.0011479543],"category_scores_gemma":[0.0043306653,0.00024705802,0.00062200904,0.00040823262,0.0005954465,0.0014445666,0.0010033055,0.0016564225,0.00015550715],"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":[0.00008097286,0.00007028217,0.0054706116,0.00011847799,0.0001379665,0.00018014298,0.00021546068,0.8755806,0.001991632,0.0427551,0.0016834969,0.07171512],"study_design_scores_gemma":[0.0000025656825,0.00001163795,0.00025091303,0.00000823044,0.000009135341,0.0000114401055,0.000010446647,0.9810916,0.00023047351,0.018067906,0.0003013898,0.0000042796887],"about_ca_topic_score_codex":0.0031985145,"about_ca_topic_score_gemma":0.0038362648,"teacher_disagreement_score":0.0031985145,"about_ca_system_score_codex":0.0005854914,"about_ca_system_score_gemma":0.00061306043,"threshold_uncertainty_score":0.006359756},"labels":[],"label_agreement":null},{"id":"W4411855369","doi":"10.20944/preprints202507.0089.v1","title":"Bayesian Predictive Model for Electric Level 4 Connected Automated Vehicle Adoption","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian probability; Computer science; Electric vehicle; Econometrics; Artificial intelligence; Mathematics; Physics","score_opus":0.052525486788389204,"score_gpt":0.29231633899272536,"score_spread":0.23979085220433616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411855369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2987449,0.0010286892,0.6770205,0.0024555763,0.00009266259,0.00023345834,0.002668456,0.000568691,0.017187122],"genre_scores_gemma":[0.96727365,0.0007283174,0.019557055,0.00016350605,0.000050167277,0.00025623708,0.0014235481,0.00004852938,0.010499033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987877,0.000484349,0.000045727385,0.00027040686,0.00021821204,0.0001935947],"domain_scores_gemma":[0.9936226,0.0048454534,0.00068767753,0.00015532103,0.0005698887,0.000119111035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038356234,0.0009355004,0.0013444524,0.0012432353,0.00043188504,0.0019011182,0.0020625128,0.0018981782,0.0052395226],"category_scores_gemma":[0.010911633,0.0008033534,0.0010951542,0.0012937622,0.0011855717,0.0019155344,0.0010249331,0.0019760835,0.00076540426],"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":[0.000089801295,0.000039820556,0.0031374374,0.000032126238,0.000035992856,0.00008311284,0.000080664126,0.96528804,0.00022972126,0.023437759,0.00086201803,0.006683472],"study_design_scores_gemma":[0.000009121401,0.000016471231,0.00087832584,0.000011149117,0.000013915533,0.000011753723,0.000020152203,0.99127203,0.000056023528,0.007349438,0.0003483958,0.000013148315],"about_ca_topic_score_codex":0.0480526,"about_ca_topic_score_gemma":0.025304325,"teacher_disagreement_score":0.0480526,"about_ca_system_score_codex":0.002486428,"about_ca_system_score_gemma":0.0013188638,"threshold_uncertainty_score":0.09554583},"labels":[],"label_agreement":null},{"id":"W4411964944","doi":"10.1038/s44333-025-00048-2","title":"Route selection guidelines and prioritization tools for efficient electrification of bus fleets","year":2025,"lang":"en","type":"article","venue":"npj Sustainable Mobility and Transport","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Toronto","funders":"","keywords":"Prioritization; Electrification; Selection (genetic algorithm); Computer science; Transport engineering; Operations research; Business; Engineering; Electricity; Process management; Artificial intelligence; Electrical engineering","score_opus":0.0076522935415969315,"score_gpt":0.23309333684802566,"score_spread":0.22544104330642872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411964944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16092107,0.00090625184,0.7955367,0.0019216125,0.00014032504,0.0018828032,0.0019684038,0.0061271493,0.030595805],"genre_scores_gemma":[0.4891716,0.00040877805,0.5027335,0.000091376576,0.000028876573,0.0005168769,0.0020928825,0.00022061881,0.0047355387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985359,0.00069674035,0.000112427595,0.00013691567,0.00034723477,0.00017091152],"domain_scores_gemma":[0.99559385,0.0017006095,0.0005699475,0.00016176331,0.0017551382,0.00021876433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026718762,0.0014795027,0.00059550325,0.0059396783,0.0007629352,0.0021503998,0.001086263,0.000648288,0.0072555305],"category_scores_gemma":[0.010094003,0.0004717602,0.0004382164,0.0019968771,0.0003057381,0.0017909501,0.0010425206,0.0009840422,0.0019432305],"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":[0.0003392649,0.0007101467,0.02710259,0.0006878299,0.00008318565,0.0005015914,0.0008595079,0.38044593,0.010399461,0.027735831,0.033619344,0.5175154],"study_design_scores_gemma":[0.00007988757,0.00033837286,0.009630548,0.00035999774,0.000055609748,0.00018098568,0.0019344578,0.94595206,0.008366251,0.013425225,0.019592576,0.00008412571],"about_ca_topic_score_codex":0.014351606,"about_ca_topic_score_gemma":0.022362482,"teacher_disagreement_score":0.014351606,"about_ca_system_score_codex":0.00136892,"about_ca_system_score_gemma":0.0036995485,"threshold_uncertainty_score":0.02853614},"labels":[],"label_agreement":null},{"id":"W4411986174","doi":"10.1016/j.apenergy.2025.126382","title":"Vehicle-to-everything mode of operation technologies: A state-of-art systematic review","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"State (computer science); State of art; Mode (computer interface); Engineering; Computer science; Data science; Human–computer interaction","score_opus":0.0029189409599507166,"score_gpt":0.1980483284461966,"score_spread":0.1951293874862459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411986174","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052832946,0.99757427,0.00028755967,0.00034132798,0.000109802764,0.000054658063,0.00042574017,0.000009542499,0.0006688156],"genre_scores_gemma":[0.003767286,0.99488384,0.00045565513,0.00031046546,0.00006182082,0.000084784464,0.00029201404,0.0000058785213,0.00013821473],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9972154,0.0006803385,0.00096767826,0.00035195195,0.0006671929,0.00011746885],"domain_scores_gemma":[0.9845412,0.011882017,0.0015833174,0.00025285428,0.0015809514,0.00015972099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037561487,0.0010555706,0.0028084326,0.008361257,0.00051960885,0.0026871597,0.0016816123,0.0014136671,0.008650175],"category_scores_gemma":[0.01766484,0.0005800279,0.00426051,0.008944479,0.000646471,0.0026330973,0.0012128373,0.001078035,0.0009157032],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001615622,0.000051895448,0.0014351625,0.6830324,0.0020850776,0.00022262227,0.00046601344,0.00031805114,0.0003826357,0.0020246583,0.011507993,0.29831192],"study_design_scores_gemma":[0.00005806995,0.00020307563,0.0052005434,0.71638477,0.016120607,0.0010860007,0.00066889945,0.00022443465,0.00041054227,0.0019327146,0.25765443,0.000055914756],"about_ca_topic_score_codex":0.005630137,"about_ca_topic_score_gemma":0.015634818,"teacher_disagreement_score":0.008650175,"about_ca_system_score_codex":0.0015463679,"about_ca_system_score_gemma":0.009599655,"threshold_uncertainty_score":0.028937757},"labels":[],"label_agreement":null},{"id":"W4412028030","doi":"10.1007/s11116-025-10651-4","title":"What is the business case for public electric vehicle chargers?","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Industry and Information Technology of the People's Republic of China; Government of Canada; Strong; California Air Resources Board","keywords":"Electric vehicle; Public transport; Electric cars; Automotive engineering; Business; Transport engineering; Engineering; Physics","score_opus":0.007792333171941262,"score_gpt":0.21218440228348637,"score_spread":0.20439206911154512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412028030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.749448,0.0026395526,0.0060869455,0.14969265,0.00019316912,0.0000966834,0.0014251444,0.00008379118,0.090334125],"genre_scores_gemma":[0.9952991,0.000613862,0.0005546725,0.0013802894,0.00011147733,0.000019948051,0.0002143673,0.00001246245,0.0017937905],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975001,0.0008411475,0.00007605315,0.0003471425,0.00051899813,0.0007164678],"domain_scores_gemma":[0.9913003,0.004070422,0.0018584441,0.0003291178,0.0011073358,0.0013342614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020723813,0.0002153936,0.00041666883,0.0016218672,0.0024830347,0.008626327,0.0011817444,0.0029311548,0.009805372],"category_scores_gemma":[0.012558538,0.00032094723,0.000493769,0.0024700933,0.0020632471,0.007343282,0.0016252896,0.003124385,0.0012338896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003045471,0.0010825285,0.5486959,0.00032024746,0.00010557342,0.008327948,0.0057227323,0.01838735,0.0009750839,0.28263858,0.07600734,0.05743224],"study_design_scores_gemma":[0.000111626665,0.0002925631,0.27682358,0.0012017225,0.00012309299,0.0077431262,0.17032684,0.092271045,0.0019543448,0.22030106,0.22851959,0.000331391],"about_ca_topic_score_codex":0.0248806,"about_ca_topic_score_gemma":0.028111523,"teacher_disagreement_score":0.0248806,"about_ca_system_score_codex":0.0046909307,"about_ca_system_score_gemma":0.0024841086,"threshold_uncertainty_score":0.049471557},"labels":[],"label_agreement":null},{"id":"W4412423599","doi":"10.1016/j.ijepes.2025.110858","title":"Adaptive frequency optimization control strategy of electric vehicles participation in energy storage considering user active response margin","year":2025,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Chongqing Three Gorges University; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Margin (machine learning); Automatic frequency control; Energy storage; Frequency regulation; Control (management); Electric vehicle; Computer science; Control theory (sociology); Energy (signal processing); Demand response; Engineering; Control engineering; Electric power system; Electrical engineering; Mathematics; Artificial intelligence; Telecommunications; Physics; Power (physics); Machine learning","score_opus":0.005705925619149186,"score_gpt":0.23028110306571017,"score_spread":0.224575177446561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412423599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12011322,0.0006118998,0.85332483,0.0003547555,0.00020381018,0.0001472454,0.000055799374,0.000631788,0.0245566],"genre_scores_gemma":[0.993723,0.000083105806,0.004454676,0.000041715353,0.000018356937,0.000051492385,0.00001685096,0.000009501553,0.0016012372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996557,0.00005433939,0.000022405917,0.00009918931,0.000089105335,0.00007917328],"domain_scores_gemma":[0.9997824,0.00004227623,0.00004372885,0.000012715169,0.00009927002,0.000019576044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004134773,0.00086396217,0.0005336079,0.0003435449,0.00044914478,0.00089689664,0.0007718723,0.00050302525,0.0017161268],"category_scores_gemma":[0.00061021297,0.0002128699,0.00038863457,0.00024298324,0.0003786899,0.000527357,0.0006455431,0.00048887776,0.00024437628],"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":[0.00059989945,0.0001758867,0.0021590767,0.00024042766,0.00009775724,0.00039403833,0.00033782952,0.84432596,0.03905356,0.011668448,0.002951591,0.09799556],"study_design_scores_gemma":[0.000029166107,0.000117239935,0.00048350345,0.000010134246,0.000026846767,0.000031974196,0.000033152755,0.994848,0.0024277626,0.0010204257,0.0009582484,0.000013559464],"about_ca_topic_score_codex":0.0042566033,"about_ca_topic_score_gemma":0.0028320206,"teacher_disagreement_score":0.0042566033,"about_ca_system_score_codex":0.00039723428,"about_ca_system_score_gemma":0.00052605296,"threshold_uncertainty_score":0.008463681},"labels":[],"label_agreement":null},{"id":"W4412561510","doi":"10.1016/j.tra.2025.104611","title":"Canada’s transition to light-duty zero emission vehicles (ZEV): opportunities, challenges, and policy directions","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Environment and Climate Change Canada; Government of Canada","keywords":"Zero emission; Duty; Zero (linguistics); Business; Transport engineering; Engineering; Political science; Electrical engineering","score_opus":0.06174833982964771,"score_gpt":0.34622780466228725,"score_spread":0.28447946483263953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412561510","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52439964,0.01867315,0.0058891103,0.21494469,0.0007167081,0.00046269162,0.0063652513,0.00034477474,0.22820401],"genre_scores_gemma":[0.9368739,0.014047078,0.0073081004,0.0118784,0.000041858926,0.00007606712,0.0021649892,0.000067358196,0.027542306],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975484,0.00017360489,0.000037293856,0.00012486691,0.00079879357,0.0013169602],"domain_scores_gemma":[0.9979075,0.00018477721,0.00010373389,0.000029794352,0.0011629206,0.0006112282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013174854,0.00032151103,0.00024581203,0.001172255,0.0076396717,0.0056653344,0.0013692485,0.0013411639,0.005172592],"category_scores_gemma":[0.0024314842,0.00018770774,0.0006085328,0.0023620091,0.0023002548,0.0022111917,0.0020171958,0.0025220502,0.00037133077],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033236181,0.0003866658,0.16533661,0.0030083412,0.0001332526,0.0041538514,0.024812859,0.010131798,0.008153332,0.20744069,0.21658559,0.35952467],"study_design_scores_gemma":[0.000022811697,0.00012596692,0.1376354,0.0015257058,0.00008222833,0.00039164833,0.09955212,0.004569339,0.002275811,0.010718636,0.74292225,0.00017799625],"about_ca_topic_score_codex":0.9892575,"about_ca_topic_score_gemma":0.9942741,"teacher_disagreement_score":0.061227098,"about_ca_system_score_codex":0.061227098,"about_ca_system_score_gemma":0.20803693,"threshold_uncertainty_score":0.44423574},"labels":[],"label_agreement":null},{"id":"W4412671681","doi":"10.1016/j.rtbm.2025.101461","title":"The potential of battery electric trucks in forest transportation","year":2025,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Truck; Battery (electricity); Automotive engineering; Transport engineering; Environmental science; Engineering; Physics","score_opus":0.008933925736293457,"score_gpt":0.2602088116603706,"score_spread":0.2512748859240771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412671681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7530407,0.015991217,0.021136027,0.0056054858,0.00010943862,0.0000482715,0.0001879246,0.00005979866,0.20382114],"genre_scores_gemma":[0.9873604,0.0043161074,0.0014541511,0.00006343777,0.000013745913,0.0000051878483,0.00005087024,0.000006600961,0.00672937],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961865,0.000106714215,0.0000068100703,0.000028242575,0.00014420583,0.0000954353],"domain_scores_gemma":[0.9992648,0.00036520776,0.00007070267,0.000023810699,0.00021911201,0.00005632814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000632556,0.000158552,0.0001027241,0.00062991737,0.0005322767,0.0020516005,0.00041728574,0.00062859076,0.0041589285],"category_scores_gemma":[0.0010569507,0.00009048586,0.00023248747,0.0010640485,0.0005682576,0.0023032506,0.00045274937,0.00045276317,0.0003574946],"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":[0.0005694976,0.00040048757,0.1103951,0.0008537548,0.0000787276,0.0028241407,0.0020273253,0.12924053,0.011069745,0.3289095,0.0065416405,0.40708956],"study_design_scores_gemma":[0.000061723986,0.0009843303,0.09215263,0.0012637932,0.0002873775,0.002239359,0.033536293,0.19710639,0.024438534,0.22961734,0.41808024,0.00023198305],"about_ca_topic_score_codex":0.014376307,"about_ca_topic_score_gemma":0.034005564,"teacher_disagreement_score":0.014376307,"about_ca_system_score_codex":0.001669371,"about_ca_system_score_gemma":0.0013262514,"threshold_uncertainty_score":0.028585255},"labels":[],"label_agreement":null},{"id":"W4412707582","doi":"10.1038/s41598-025-12079-3","title":"Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Independent Electricity System Operator","funders":"Qassim University","keywords":"Sizing; Renewable energy; Computer science; Microgrid; Voltage; Energy storage; Automotive engineering; Power (physics); Reliability engineering; Engineering; Electrical engineering","score_opus":0.011239679513060466,"score_gpt":0.21760268337635988,"score_spread":0.20636300386329942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412707582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11377366,0.0013259754,0.8523481,0.0014877068,0.00033415735,0.00017866447,0.0022941858,0.00045109977,0.027806394],"genre_scores_gemma":[0.9687396,0.00078785,0.017607542,0.00012940216,0.000067919245,0.00018645926,0.00064180925,0.00006535413,0.011774008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995721,0.0001174067,0.00002166958,0.00010333987,0.00008803072,0.00009745367],"domain_scores_gemma":[0.99871945,0.0007178935,0.00019796322,0.000040096038,0.00025120802,0.00007335552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008646185,0.0011253635,0.0010787715,0.0007582602,0.00057972193,0.0017600274,0.0018481286,0.0019451486,0.003831879],"category_scores_gemma":[0.002517642,0.0009030444,0.0015101165,0.0012917614,0.0009067389,0.0012774202,0.001170312,0.0015595387,0.00031800926],"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":[0.000009360583,0.0000053128583,0.0002041094,0.0000096583635,0.000006114794,0.00003102403,0.000008771292,0.9963098,0.000055242956,0.0025475416,0.0001332954,0.00067984936],"study_design_scores_gemma":[0.0000022647482,0.000003893918,0.000054441483,0.00000202801,0.0000033060398,0.0000040379246,0.0000053749955,0.99904877,0.000019237348,0.00070458057,0.00014954263,0.0000024959722],"about_ca_topic_score_codex":0.04592912,"about_ca_topic_score_gemma":0.021085352,"teacher_disagreement_score":0.04592912,"about_ca_system_score_codex":0.0019989375,"about_ca_system_score_gemma":0.0016384504,"threshold_uncertainty_score":0.091323614},"labels":[],"label_agreement":null},{"id":"W4412807825","doi":"10.4018/979-8-3373-0882-1.ch002","title":"Mapping the Evolution of Green Energy and Sustainable Mobility","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable energy; Environmental science; Geography; Renewable energy; Engineering; Electrical engineering","score_opus":0.003926721944877851,"score_gpt":0.16113598200674553,"score_spread":0.1572092600618677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412807825","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6020988,0.064684175,0.01252163,0.0063851606,0.0005059758,0.00010176461,0.037161656,0.00066556915,0.27587533],"genre_scores_gemma":[0.9164079,0.037807807,0.009336364,0.00022593614,0.00034213052,0.000095530806,0.016945612,0.00018347084,0.018655164],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766064,0.00043144188,0.00020243443,0.00032535713,0.0012332457,0.00014690708],"domain_scores_gemma":[0.99427116,0.0029260812,0.0012548527,0.00026397957,0.0011531793,0.00013075954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013630852,0.0002689986,0.00031576096,0.026680905,0.00046616676,0.004885468,0.0004873521,0.0005048342,0.0067638187],"category_scores_gemma":[0.009772273,0.00016039128,0.00042495894,0.07718524,0.0005857423,0.005030578,0.0016889852,0.0004281597,0.0019156311],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013601482,0.000060680744,0.2297509,0.004608303,0.0003031826,0.00056131836,0.0067747324,0.007969134,0.0025288505,0.08868284,0.03405721,0.6245669],"study_design_scores_gemma":[0.00001039593,0.000084090316,0.3976645,0.0019794272,0.00020070036,0.0009807542,0.01298444,0.008333902,0.003322942,0.020782236,0.55354863,0.00010808526],"about_ca_topic_score_codex":0.009359218,"about_ca_topic_score_gemma":0.011290427,"teacher_disagreement_score":0.026680905,"about_ca_system_score_codex":0.0024348972,"about_ca_system_score_gemma":0.001828379,"threshold_uncertainty_score":0.022627234},"labels":[],"label_agreement":null},{"id":"W4412873223","doi":"10.3390/wevj16070404","title":"A Literature Review on Strategic, Tactical, and Operational Perspectives in EV Charging Station Planning and Scheduling","year":2025,"lang":"en","type":"review","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheduling (production processes); Operations research; Strategic planning; Transport engineering; Business; Computer science; Engineering; Operations management; Marketing","score_opus":0.02006157858573084,"score_gpt":0.2980642245109405,"score_spread":0.2780026459252097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412873223","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00075460377,0.99263203,0.0018441816,0.0013166498,0.00035186284,0.00003382775,0.000108767854,0.00001883721,0.0029393104],"genre_scores_gemma":[0.0063141366,0.990837,0.0017620227,0.00044820434,0.00019863764,0.000038385457,0.000113438684,0.0000065919944,0.00028168765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712807,0.0011158163,0.0006029995,0.00031201864,0.00067684334,0.00016422936],"domain_scores_gemma":[0.9831139,0.013275757,0.0011586667,0.00024118133,0.0020240361,0.00018645228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036292386,0.0014779184,0.0013571681,0.009982722,0.00082940306,0.0031499013,0.0014581945,0.0020813923,0.005132677],"category_scores_gemma":[0.01208928,0.00091561204,0.0020828212,0.016797984,0.0008690018,0.003911233,0.000982116,0.0015707158,0.0011436004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016574813,0.000119054974,0.0012355032,0.2285539,0.0005197569,0.000621573,0.001605819,0.0065421537,0.0011463986,0.02610081,0.037064955,0.6963244],"study_design_scores_gemma":[0.000044349385,0.00027768186,0.004631877,0.2704753,0.002136114,0.0014507576,0.0029974403,0.0020412365,0.00092461717,0.013747904,0.7011571,0.00011556552],"about_ca_topic_score_codex":0.0075849937,"about_ca_topic_score_gemma":0.013294689,"teacher_disagreement_score":0.009982722,"about_ca_system_score_codex":0.0028533847,"about_ca_system_score_gemma":0.00945205,"threshold_uncertainty_score":0.02070278},"labels":[],"label_agreement":null},{"id":"W4412935324","doi":"10.1016/j.sftr.2025.101089","title":"Optimizing energy and CO2 efficiency in last-mile delivery using hybrid fleet models","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Aston University; Carleton University","keywords":"Mile; Last mile (transportation); Environmental science; Computer science; Geography","score_opus":0.0034202739749112825,"score_gpt":0.18977826426468422,"score_spread":0.18635799028977293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412935324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74803615,0.0008110269,0.22685412,0.0006877624,0.00009603562,0.00016408533,0.002518659,0.00027566458,0.020556485],"genre_scores_gemma":[0.9764129,0.00023257229,0.015577785,0.00005468431,0.000010969903,0.00008354186,0.0007514656,0.000042092743,0.006834037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999803,0.000083245344,0.0000065910695,0.00003888329,0.000022249125,0.000045996956],"domain_scores_gemma":[0.99961877,0.00024901715,0.000045922916,0.000018344386,0.00004043711,0.00002759876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066098897,0.0009220822,0.0005177507,0.0008431588,0.0002778039,0.0012156669,0.0009024918,0.0011240231,0.0023860014],"category_scores_gemma":[0.0010774918,0.0004801121,0.0009512927,0.0010020741,0.00038208548,0.0010104438,0.0004646963,0.0006375855,0.00027960225],"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":[0.0000072845446,0.000006681882,0.00018791191,0.0000036437332,0.0000059226995,0.000006952002,0.0000017854455,0.9989108,0.000044986482,0.00022214827,0.000047974212,0.00055384217],"study_design_scores_gemma":[0.0000022550603,0.000009954404,0.00014901046,0.0000018690614,0.0000024602627,0.0000025321121,0.0000073805595,0.9993773,0.00004162457,0.00029490565,0.00010900205,0.0000017333915],"about_ca_topic_score_codex":0.031919103,"about_ca_topic_score_gemma":0.02967414,"teacher_disagreement_score":0.031919103,"about_ca_system_score_codex":0.0014858893,"about_ca_system_score_gemma":0.0009491135,"threshold_uncertainty_score":0.06346661},"labels":[],"label_agreement":null},{"id":"W4412993186","doi":"10.1007/s42486-025-00199-8","title":"Revolutionizing urban mobility: exploring the nexus of smart cities and bidirectional electric vehicle integration","year":2025,"lang":"en","type":"article","venue":"CCF Transactions on Pervasive Computing and Interaction","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Nexus (standard); Electric vehicle; Economic geography; Transport engineering; Computer science; Geography; Engineering; Embedded system","score_opus":0.01395609976235491,"score_gpt":0.22354809361810635,"score_spread":0.20959199385575145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412993186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44125348,0.0052007604,0.16478507,0.026302854,0.000627283,0.00006715381,0.00034273646,0.0006485355,0.36077222],"genre_scores_gemma":[0.98704463,0.0016690778,0.005264375,0.00038273475,0.00006723674,0.000017256873,0.000063589236,0.000033527933,0.0054576797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99970526,0.000101786325,0.000003683622,0.000040452607,0.00004679535,0.000101914055],"domain_scores_gemma":[0.99968445,0.000121884936,0.000030752017,0.000055664743,0.00005213767,0.000055056385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044316586,0.00032698832,0.00018810638,0.00035270365,0.00068712066,0.003169834,0.00074799627,0.0008261978,0.0077756047],"category_scores_gemma":[0.0010507632,0.00016868814,0.00026975575,0.0006604154,0.0019353937,0.0056594633,0.003958335,0.0009985575,0.0006921435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017990055,0.000108760716,0.0056265164,0.00015436155,0.000031694457,0.00021756804,0.0014314207,0.039386526,0.002702329,0.85040313,0.009049161,0.090708576],"study_design_scores_gemma":[0.00003694141,0.000114696835,0.003229575,0.00018462393,0.000051342875,0.00020684216,0.011052712,0.12613848,0.0030279069,0.6972165,0.15869999,0.000040303174],"about_ca_topic_score_codex":0.004881684,"about_ca_topic_score_gemma":0.010428151,"teacher_disagreement_score":0.0077756047,"about_ca_system_score_codex":0.00096191,"about_ca_system_score_gemma":0.0012818486,"threshold_uncertainty_score":0.026012003},"labels":[],"label_agreement":null},{"id":"W4413045683","doi":"10.1016/j.trd.2025.104934","title":"Assessment of energy efficiency of battery electric buses in cold regions","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Engineering; Efficient energy use; Energy (signal processing); Environmental science; Electrical engineering; Physics; Power (physics)","score_opus":0.01294773656495424,"score_gpt":0.2593981174809401,"score_spread":0.24645038091598587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413045683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99342304,0.00015418162,0.0013477381,0.000028914665,0.0000034184607,0.000014971461,0.0015512193,0.000049531856,0.003427041],"genre_scores_gemma":[0.9974408,0.00006437786,0.00035307612,0.000003959635,0.0000016294567,0.0000054947354,0.0012660046,0.000010567771,0.00085394824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980325,0.00003417155,0.000007693274,0.000035817553,0.00007007516,0.000048939804],"domain_scores_gemma":[0.9996606,0.0000638929,0.00006806464,0.000023471104,0.00016038305,0.000023549355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002619342,0.0003903005,0.00023047112,0.0012045605,0.00022652073,0.00067208183,0.00029228904,0.00015551619,0.0013016292],"category_scores_gemma":[0.0009620412,0.00012313551,0.000194618,0.0014828227,0.00013769638,0.0004371946,0.00018618192,0.0001269372,0.00034696338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004565718,0.00013493083,0.8022112,0.00016909033,0.00030750752,0.00031570415,0.00042449628,0.12052035,0.016731283,0.0010463698,0.0023329405,0.055349573],"study_design_scores_gemma":[0.0000071138,0.0001318369,0.95028335,0.00001555542,0.000047052657,0.000069985945,0.00049176405,0.04016263,0.004428995,0.00015118794,0.004185836,0.00002472304],"about_ca_topic_score_codex":0.17703637,"about_ca_topic_score_gemma":0.31323633,"teacher_disagreement_score":0.17703637,"about_ca_system_score_codex":0.0012793526,"about_ca_system_score_gemma":0.00048298488,"threshold_uncertainty_score":0.3520118},"labels":[],"label_agreement":null},{"id":"W4413126200","doi":"10.1109/tvt.2025.3596618","title":"Efficiency Optimization for Blockchain-Enabled V2V Energy Trading With Dynamic Clustering Based on Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Blockchain; Reinforcement learning; Cluster analysis; Computer science; Efficient energy use; Distributed computing; Artificial intelligence; Engineering; Computer security; Electrical engineering","score_opus":0.0023547022779791516,"score_gpt":0.1827386537104129,"score_spread":0.18038395143243374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413126200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2065671,0.0005986803,0.7829908,0.00056604284,0.000072820134,0.0001122963,0.0001151977,0.00065372925,0.008323343],"genre_scores_gemma":[0.990393,0.000048895392,0.008363815,0.000039240465,0.000005852333,0.00002844231,0.000034013403,0.000014825979,0.0010718625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996197,0.00007695007,0.000018839755,0.00008609036,0.00008569627,0.00011266862],"domain_scores_gemma":[0.9990609,0.00047010588,0.00011980339,0.00006605429,0.00019304067,0.000090021385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008130183,0.0006569057,0.00091430574,0.00030592416,0.0005187997,0.00085561076,0.0009733735,0.0007348176,0.0021469246],"category_scores_gemma":[0.0018255615,0.00034263544,0.0003041603,0.00034727826,0.0007411156,0.0010438259,0.0011954852,0.0009098813,0.00021592925],"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":[0.00007430255,0.000042713556,0.0005533212,0.000026409187,0.00001353119,0.00003784085,0.000023331288,0.98207617,0.0011328452,0.0024979168,0.00038010048,0.013141397],"study_design_scores_gemma":[0.000003504344,0.000009571545,0.00002802036,8.4753464e-7,0.0000012184379,0.0000028024995,0.0000024204555,0.9991536,0.00013119979,0.00063085085,0.000034857138,0.0000011717301],"about_ca_topic_score_codex":0.00800064,"about_ca_topic_score_gemma":0.008378444,"teacher_disagreement_score":0.00800064,"about_ca_system_score_codex":0.0012758292,"about_ca_system_score_gemma":0.0016202828,"threshold_uncertainty_score":0.015908122},"labels":[],"label_agreement":null},{"id":"W4413193847","doi":"10.2139/ssrn.5377456","title":"&lt;p&gt;Locating Charging Stations Identifying Zones for Early Deployment in the GTHA using Real-World Truck Data&lt;/p&gt;","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Pembina Institute","funders":"","keywords":"Truck; Software deployment; Computer science; Environmental science; Transport engineering; Engineering; Automotive engineering; Operating system","score_opus":0.02774240971627381,"score_gpt":0.29292061218004894,"score_spread":0.26517820246377516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413193847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41641253,0.0006072848,0.44628292,0.0053549246,0.00084844773,0.0006089777,0.01984941,0.011289982,0.09874536],"genre_scores_gemma":[0.8783811,0.00026079355,0.095828176,0.0001511717,0.0000668128,0.000057501777,0.004940756,0.0004848704,0.019828847],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99984336,0.00003343859,0.000005959269,0.000029163295,0.000054741602,0.000033383407],"domain_scores_gemma":[0.9994886,0.00016264847,0.000055736058,0.00007967301,0.00015299808,0.000060344704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048762214,0.00036721723,0.0002557376,0.0011412738,0.0003850108,0.0014299693,0.00050058676,0.00085898733,0.009008706],"category_scores_gemma":[0.0021328828,0.00025420898,0.00022208726,0.00094157876,0.000251418,0.0009917855,0.0005107725,0.00041446605,0.003956792],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009312437,0.00019911416,0.06758801,0.00028871457,0.00010082236,0.00079744396,0.00057440036,0.15180615,0.046212323,0.018258454,0.12472523,0.5885182],"study_design_scores_gemma":[0.000073332645,0.00019780242,0.0456692,0.000068911264,0.000038864564,0.00015343567,0.0011463293,0.87744856,0.024346469,0.0106815975,0.040110216,0.00006535273],"about_ca_topic_score_codex":0.041929383,"about_ca_topic_score_gemma":0.0577368,"teacher_disagreement_score":0.95807064,"about_ca_system_score_codex":0.0004963183,"about_ca_system_score_gemma":0.0010449946,"threshold_uncertainty_score":0.083370686},"labels":[],"label_agreement":null},{"id":"W4413282738","doi":"10.3390/wevj16080471","title":"The Soft Fixed Route Hybrid Electric Aircraft Charging Problem with Variable Speed","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Québec Metro High Tech Park (Canada); Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Automotive engineering; Variable (mathematics); Computer science; Engineering; Mathematics","score_opus":0.002860986781487711,"score_gpt":0.182477910311714,"score_spread":0.1796169235302263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413282738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30822572,0.00072243036,0.674078,0.00069806987,0.00014679316,0.00019044553,0.00041754317,0.00031826049,0.015202742],"genre_scores_gemma":[0.9343043,0.0002819396,0.060946498,0.000081086786,0.000030391422,0.00011150528,0.00019535588,0.00006227714,0.0039866986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994518,0.00022759987,0.000020049361,0.00009165485,0.000083717896,0.00012520746],"domain_scores_gemma":[0.99927527,0.00049839634,0.00008568962,0.00003439486,0.000054617445,0.000051721116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072636467,0.0011283422,0.0008478743,0.00052205985,0.0005512512,0.0012430465,0.0012124607,0.0012205987,0.0026640694],"category_scores_gemma":[0.0014402589,0.00046003528,0.0010169462,0.0008660252,0.00061982713,0.0010375046,0.0006999169,0.0007874164,0.00019168483],"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":[0.000053492142,0.00002446672,0.00031119862,0.000049685717,0.000029787969,0.00013002577,0.000020720525,0.9847142,0.0008708899,0.0048670466,0.0004486184,0.008479805],"study_design_scores_gemma":[0.000022843677,0.00006996127,0.00021830843,0.0000074888353,0.00002121192,0.000078484154,0.00004914032,0.99146795,0.0007371846,0.0064611295,0.00085670856,0.000009661457],"about_ca_topic_score_codex":0.006997434,"about_ca_topic_score_gemma":0.0053377924,"teacher_disagreement_score":0.006997434,"about_ca_system_score_codex":0.0010726547,"about_ca_system_score_gemma":0.0011974861,"threshold_uncertainty_score":0.013913393},"labels":[],"label_agreement":null},{"id":"W4413291557","doi":"10.1016/j.scs.2025.106739","title":"Systems-based approach to public electric vehicle supply equipment expansion: An international policy analysis","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Engineering; Business","score_opus":0.004929747239252382,"score_gpt":0.21901770518776723,"score_spread":0.21408795794851485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413291557","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3010826,0.004411071,0.037398417,0.016516093,0.00015917161,0.00040867913,0.00067268533,0.000100542245,0.63925076],"genre_scores_gemma":[0.97986114,0.0042322082,0.0033832071,0.0005119246,0.000049238046,0.00017300532,0.00021238778,0.00003543988,0.011541407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975526,0.000994279,0.000084548374,0.00019967616,0.000545694,0.0006232473],"domain_scores_gemma":[0.9975573,0.0010800033,0.0003952054,0.00018932672,0.0006046703,0.0001735192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030959842,0.00040440902,0.00028263163,0.00223129,0.0013857108,0.00547789,0.00077318156,0.001059961,0.008909691],"category_scores_gemma":[0.0047725267,0.0002835985,0.00061704154,0.0044787303,0.0026479608,0.0043059965,0.0022908943,0.002018574,0.00030265813],"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":[0.000053220992,0.00014738632,0.010059002,0.00023529232,0.00007074479,0.0001947144,0.0014037091,0.04409071,0.0003943168,0.9155652,0.0032630365,0.024522701],"study_design_scores_gemma":[0.00007309453,0.0006989035,0.105169214,0.0016631448,0.00043375674,0.0004574135,0.03444476,0.14809541,0.0026277946,0.3583128,0.34787878,0.0001449569],"about_ca_topic_score_codex":0.04844242,"about_ca_topic_score_gemma":0.036016583,"teacher_disagreement_score":0.04844242,"about_ca_system_score_codex":0.016870597,"about_ca_system_score_gemma":0.010426561,"threshold_uncertainty_score":0.12240529},"labels":[],"label_agreement":null},{"id":"W4413307198","doi":"10.1177/03611981251346459","title":"The Attractiveness of Electric Vehicles for Heterogeneous Consumers: A Range-Cost-Emission Comparative Analysis","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Attractiveness; Range (aeronautics); Business; Automotive engineering; Engineering; Psychology; Aerospace engineering","score_opus":0.056486884203396454,"score_gpt":0.3759829595612097,"score_spread":0.3194960753578132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413307198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98717993,0.00023600069,0.002456706,0.00005799756,0.0000059860604,0.00009229844,0.0002366613,0.0000033601177,0.009730992],"genre_scores_gemma":[0.99843806,0.00008727719,0.0008403361,0.0000074049394,0.0000051328097,0.00004228442,0.00015086691,0.0000020348307,0.00042651946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882203,0.0005088648,0.000052298372,0.000109954264,0.0004148036,0.00009205825],"domain_scores_gemma":[0.995666,0.0028197446,0.0003799541,0.00023729529,0.00074866146,0.00014829013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004451,0.0001848013,0.0002994307,0.002046908,0.00047097387,0.0014125124,0.00036211128,0.00034507946,0.006190728],"category_scores_gemma":[0.0076281955,0.00009953754,0.0008519158,0.0016427423,0.00064122386,0.0016320009,0.0013945192,0.00045910565,0.0002025929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018854982,0.0008163701,0.8292717,0.0004913707,0.0006381843,0.0007922678,0.00600753,0.013074476,0.0051035443,0.03146919,0.0009850967,0.10946484],"study_design_scores_gemma":[0.000048793878,0.0018177297,0.9445015,0.00008925063,0.0004162537,0.00052132196,0.020005474,0.01897051,0.0019244219,0.0057268087,0.0058972365,0.00008078139],"about_ca_topic_score_codex":0.0036655802,"about_ca_topic_score_gemma":0.004057468,"teacher_disagreement_score":0.006190728,"about_ca_system_score_codex":0.0011703444,"about_ca_system_score_gemma":0.0003067413,"threshold_uncertainty_score":0.020709991},"labels":[],"label_agreement":null},{"id":"W4413339256","doi":"10.18280/mmep.120731","title":"Sustainable Hybrid Solar-Biogas Systems for Electric Vehicle Charging in Tropical Regions: A Techno-Economic Assessment","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Negeri Malang","keywords":"Biogas; Environmental science; Electric vehicle; Waste management; Engineering; Physics","score_opus":0.007249597532480666,"score_gpt":0.2029824480378134,"score_spread":0.19573285050533273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413339256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98407525,0.00025079894,0.008566145,0.000093668554,0.000008151063,0.00006747337,0.00020722438,0.000035435725,0.0066958405],"genre_scores_gemma":[0.9979091,0.00014128929,0.0012796173,0.0000040434197,0.0000013263042,0.000017601476,0.000061702005,0.0000038932094,0.0005815233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998271,0.000068702546,0.000005667415,0.00001321761,0.0000554116,0.000029847963],"domain_scores_gemma":[0.99983776,0.000080496575,0.00002006778,0.000012888507,0.000036861577,0.000012016824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005017266,0.00045928312,0.00033392312,0.00061985815,0.0002947241,0.0009264268,0.0003925573,0.0003501215,0.0014854592],"category_scores_gemma":[0.0004615788,0.00015722278,0.0005219078,0.0008448384,0.00021277332,0.0007593861,0.00044966378,0.00020041245,0.00010833338],"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":[0.0002728247,0.00014851453,0.017303,0.00019805212,0.00010086161,0.0004197068,0.000049393708,0.9420832,0.00812826,0.0031774568,0.0002428597,0.027875887],"study_design_scores_gemma":[0.000041615225,0.00083412265,0.014746397,0.000024074297,0.000095420226,0.0001402259,0.00043243225,0.97087383,0.0095793335,0.0014524179,0.0017571124,0.00002298928],"about_ca_topic_score_codex":0.0051537277,"about_ca_topic_score_gemma":0.011628554,"teacher_disagreement_score":0.0051537277,"about_ca_system_score_codex":0.0011543647,"about_ca_system_score_gemma":0.0005933407,"threshold_uncertainty_score":0.010247409},"labels":[],"label_agreement":null},{"id":"W4413367826","doi":"10.55041/ijsrem.evis010","title":"Electric Mobility in Agriculture: A Sustainable Solution for Farm-to-Market Transportation","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Sustainable agriculture; Agricultural economics; Natural resource economics; Economics; Geography","score_opus":0.00911226367285372,"score_gpt":0.2705461074708414,"score_spread":0.2614338437979877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413367826","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022513945,0.86016,0.011595836,0.039255414,0.0023384902,0.00025434946,0.0007520044,0.000101801656,0.06302812],"genre_scores_gemma":[0.2341172,0.7438288,0.00883685,0.006007547,0.0009709291,0.000179504,0.0004520565,0.000033827015,0.005573381],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981359,0.00078037457,0.00015235304,0.00015184292,0.00062782294,0.00015169889],"domain_scores_gemma":[0.9967675,0.0016924251,0.0004449204,0.000084401785,0.0009436704,0.00006706597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029020868,0.0006719131,0.0005285907,0.0028651142,0.0006039338,0.0035788468,0.0008083374,0.0015807812,0.0057561193],"category_scores_gemma":[0.0040792925,0.00018741658,0.00072217465,0.0027936553,0.0013545243,0.0040897415,0.001764578,0.0011854549,0.00065674324],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017062601,0.00007555838,0.0046285363,0.04801389,0.0005436816,0.0006798743,0.0013126485,0.004294347,0.0055104257,0.13554484,0.029579997,0.76964563],"study_design_scores_gemma":[0.000015654048,0.0002617062,0.005329139,0.047991768,0.0004014243,0.0006286166,0.005232296,0.0010543211,0.002951323,0.037142403,0.89893615,0.000055254804],"about_ca_topic_score_codex":0.0029809847,"about_ca_topic_score_gemma":0.004216254,"teacher_disagreement_score":0.0057561193,"about_ca_system_score_codex":0.0028167858,"about_ca_system_score_gemma":0.0058515724,"threshold_uncertainty_score":0.0204373},"labels":[],"label_agreement":null},{"id":"W4413395781","doi":"10.3390/futuretransp5030108","title":"Bayesian Predictive Model for Electric Level 4 Connected Automated Vehicle Adoption","year":2025,"lang":"en","type":"article","venue":"Future Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian probability; Computer science; Electric vehicle; Artificial intelligence","score_opus":0.005968654912923493,"score_gpt":0.21147088794316266,"score_spread":0.20550223303023915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413395781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36559975,0.0009369513,0.61131996,0.0024566206,0.00008949533,0.00026792567,0.0023979202,0.00047668858,0.016454604],"genre_scores_gemma":[0.9750897,0.000565715,0.015455755,0.00013149649,0.000037443133,0.00021428343,0.0011013123,0.000034355093,0.007369943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987627,0.00049226213,0.000049884697,0.00026718332,0.00023036463,0.00019762],"domain_scores_gemma":[0.9930803,0.0050679916,0.00083516265,0.00017247429,0.0007058442,0.00013815297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039351345,0.00093105953,0.0013168568,0.0012139977,0.00047755992,0.0018214918,0.002135079,0.0018473988,0.0046224287],"category_scores_gemma":[0.010873411,0.0008237134,0.0011656443,0.0011972014,0.0011026363,0.0018762704,0.0010183282,0.0020248871,0.0006263816],"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":[0.0000790367,0.000037035137,0.0038140896,0.000027349437,0.000035071855,0.00009481131,0.00007181428,0.9726078,0.00022591621,0.016870234,0.00073637825,0.005400488],"study_design_scores_gemma":[0.000007993274,0.000016209175,0.0010577969,0.000009709727,0.000013146647,0.0000125900415,0.000021560654,0.9931579,0.000050459203,0.0053821737,0.000258069,0.000012467988],"about_ca_topic_score_codex":0.047921073,"about_ca_topic_score_gemma":0.024616534,"teacher_disagreement_score":0.047921073,"about_ca_system_score_codex":0.0025050687,"about_ca_system_score_gemma":0.0013493905,"threshold_uncertainty_score":0.09528428},"labels":[],"label_agreement":null},{"id":"W4413419759","doi":"10.21872/2024iise_7537","title":"Multi-objective electric bus scheduling problem considering multi-vehicle types.","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Electric vehicle; Processor scheduling; Computer network; Mathematical optimization; Mathematics","score_opus":0.009994357966947755,"score_gpt":0.2226069787069293,"score_spread":0.21261262073998155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413419759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34516004,0.0020147671,0.61542267,0.0013862858,0.00034238613,0.00059864816,0.008415063,0.00055469543,0.026105456],"genre_scores_gemma":[0.8568188,0.0007288548,0.12788777,0.00013519521,0.00009815776,0.00019216616,0.0041501145,0.00011396482,0.009874961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934334,0.00021489746,0.000029583209,0.00015338503,0.00010668859,0.00015209852],"domain_scores_gemma":[0.99908614,0.0005126034,0.00013426808,0.000046550515,0.000100148034,0.00012028382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010605822,0.0011416934,0.0011047691,0.0009961345,0.00047986017,0.0012902028,0.0014879197,0.0011420149,0.0042423224],"category_scores_gemma":[0.0019281766,0.0005734313,0.0010402432,0.0019810626,0.0004067084,0.0011577487,0.0005046762,0.0008132588,0.00035510908],"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":[0.00006117481,0.0000673768,0.0012371225,0.00007623093,0.000062011255,0.000097017684,0.000014636993,0.9824636,0.00034271105,0.0029181768,0.0016038573,0.011056103],"study_design_scores_gemma":[0.000017551261,0.00004192582,0.00082869135,0.000008750462,0.000020351586,0.000038792394,0.000052420077,0.99254954,0.00023057027,0.004360149,0.0018452227,0.0000059969575],"about_ca_topic_score_codex":0.024227086,"about_ca_topic_score_gemma":0.038508534,"teacher_disagreement_score":0.024227086,"about_ca_system_score_codex":0.0020442223,"about_ca_system_score_gemma":0.0020115958,"threshold_uncertainty_score":0.048172116},"labels":[],"label_agreement":null},{"id":"W4413421903","doi":"10.1049/itr2.70084","title":"Strategic Deployment of Electric Buses Through Replacement Factor Prediction: A Machine Learning Framework for Cost‐Effective Electrification","year":2025,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Toronto","funders":"","keywords":"Electrification; Software deployment; Computer science; Engineering; Transport engineering; Artificial intelligence; Automotive engineering; Electrical engineering; Electricity; Software engineering","score_opus":0.018865581710504023,"score_gpt":0.25632795556269417,"score_spread":0.23746237385219016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413421903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09087764,0.00067397667,0.9037765,0.0008906012,0.000049556118,0.000080485326,0.0001993614,0.0005303267,0.0029216358],"genre_scores_gemma":[0.9238219,0.0002447187,0.073861726,0.000084460014,0.00004235485,0.000122045,0.00019153956,0.000025177244,0.0016059503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995665,0.00019460026,0.000020566677,0.00009527873,0.000063058505,0.00005991244],"domain_scores_gemma":[0.9987112,0.0008355708,0.00013862886,0.00003401594,0.00022032272,0.00006021548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015274769,0.0007689569,0.00083787885,0.001256536,0.0004256571,0.0010279343,0.0010955161,0.0009542343,0.0016074622],"category_scores_gemma":[0.0032258248,0.00037233744,0.0005188843,0.00082608836,0.0005887086,0.00082975364,0.0006403566,0.0011980713,0.00018770558],"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":[0.000019557652,0.00004395179,0.00090016006,0.000013398276,0.000016472179,0.000020602696,0.000015034263,0.9825325,0.00012668145,0.0020874022,0.0002531208,0.0139710745],"study_design_scores_gemma":[0.000001091812,0.0000054247457,0.00006161348,0.000002119668,0.000001738159,9.685556e-7,0.0000025341394,0.99899715,0.00002418352,0.00086185185,0.00004018453,0.0000010823449],"about_ca_topic_score_codex":0.022369336,"about_ca_topic_score_gemma":0.014429192,"teacher_disagreement_score":0.022369336,"about_ca_system_score_codex":0.0011884816,"about_ca_system_score_gemma":0.001479385,"threshold_uncertainty_score":0.044478238},"labels":[],"label_agreement":null},{"id":"W4413431817","doi":"10.3390/s25175226","title":"Multi-Agent DDPG-Based Multi-Device Charging Scheduling for IIoT Smart Grids","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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":"Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China; British Columbia Innovation Council; Natural Science Foundation of Guangxi Zhuang Autonomous Region","keywords":"Scheduling (production processes); Computer science; Smart grid; Distributed computing; Embedded system; Materials science; Engineering; Electrical engineering","score_opus":0.014329671222642518,"score_gpt":0.2494214812099803,"score_spread":0.2350918099873378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413431817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059891485,0.0004053236,0.9328902,0.00036799928,0.00013968404,0.000087069086,0.00008998636,0.0013112637,0.0048170043],"genre_scores_gemma":[0.9532392,0.00008152047,0.044815592,0.00009879747,0.000016317457,0.00004630509,0.00008272538,0.000039906485,0.0015796194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997743,0.000049698054,0.000012329365,0.000049449754,0.0000537421,0.00006051054],"domain_scores_gemma":[0.99970335,0.000105155974,0.000044978187,0.000030251955,0.00006533798,0.000050989474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051700306,0.0005696114,0.0009115044,0.0002681976,0.00040938676,0.0006640567,0.0010675788,0.00052354956,0.0014080207],"category_scores_gemma":[0.00092302845,0.00031066884,0.0003263832,0.0003443668,0.00039498866,0.00065369933,0.0007550087,0.00074838905,0.00023094362],"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":[0.00008488119,0.000052902134,0.00065178773,0.00003235036,0.000017945602,0.000048063823,0.000028303511,0.9550589,0.0009517132,0.00251528,0.0012369631,0.03932087],"study_design_scores_gemma":[0.0000064923233,0.000011355699,0.00005402791,0.0000010034438,0.000002144689,0.0000053965264,0.0000048041848,0.9988563,0.00020250857,0.0006422092,0.00021218082,0.0000015671692],"about_ca_topic_score_codex":0.008046052,"about_ca_topic_score_gemma":0.009077022,"teacher_disagreement_score":0.008046052,"about_ca_system_score_codex":0.00086265715,"about_ca_system_score_gemma":0.0014084815,"threshold_uncertainty_score":0.015998483},"labels":[],"label_agreement":null},{"id":"W4413461137","doi":"10.1109/icdew67478.2025.00014","title":"Developing a Smart Electric Vehicle Strategy: From Data to Decisions","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Electric vehicle","score_opus":0.03171382529071743,"score_gpt":0.2682857474838652,"score_spread":0.23657192219314777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413461137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6406563,0.0023183078,0.13434178,0.030976556,0.00040840602,0.0012803113,0.15120144,0.004857999,0.03395893],"genre_scores_gemma":[0.7212085,0.0010381534,0.21535681,0.0004913425,0.000059419202,0.00045851563,0.058910266,0.0003217037,0.002155231],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964161,0.001865355,0.00032717176,0.0005415583,0.00067664904,0.00017310382],"domain_scores_gemma":[0.98344827,0.009451778,0.0012815216,0.0024821889,0.002552346,0.0007839427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056746574,0.0006890279,0.0006157465,0.0034239583,0.0008786027,0.005771867,0.001482596,0.0014548696,0.0026662597],"category_scores_gemma":[0.024190517,0.00069482805,0.0006663755,0.005397976,0.001133549,0.0043927473,0.0028144724,0.0018747707,0.0009681009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065646484,0.00084222725,0.36810794,0.0022001176,0.00059909484,0.0012282708,0.012801707,0.13884291,0.004161815,0.047108073,0.09663091,0.32682052],"study_design_scores_gemma":[0.00016108618,0.0002737115,0.14933631,0.0016424012,0.00024003819,0.00025734317,0.040154435,0.3883194,0.012030955,0.09882501,0.3083699,0.0003893955],"about_ca_topic_score_codex":0.07692184,"about_ca_topic_score_gemma":0.13305335,"teacher_disagreement_score":0.07692184,"about_ca_system_score_codex":0.0037614733,"about_ca_system_score_gemma":0.0038428232,"threshold_uncertainty_score":0.15294826},"labels":[],"label_agreement":null},{"id":"W4413473366","doi":"10.36948/ijfmr.2025.v07i04.54013","title":"A Comparative Study of Vehicle Scrappage Policies and ELV Recycling Frameworks in India and Abroad","year":2025,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; International trade","score_opus":0.037266156228021825,"score_gpt":0.43155133377286564,"score_spread":0.3942851775448438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413473366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692496,0.0005075047,0.0002606363,0.0003363582,0.000010007449,0.00001578428,0.00013866258,0.000013660938,0.029467808],"genre_scores_gemma":[0.99718326,0.00053366733,0.000113686336,0.00004651466,0.0000025435245,0.000006390275,0.00009397939,0.000005189572,0.0020147283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992035,0.00018129974,0.000038570764,0.000063296386,0.00016545513,0.00034783213],"domain_scores_gemma":[0.9987324,0.00045133955,0.00034390093,0.00009659056,0.0002578174,0.000118007345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006867072,0.0001642437,0.00017502464,0.0019319602,0.0008818553,0.0020358039,0.000586776,0.00030130296,0.0021201374],"category_scores_gemma":[0.0017800498,0.00014316673,0.0003117206,0.0034609276,0.0013734349,0.00087714894,0.0012635449,0.0007361181,0.0002070047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067573326,0.00065179216,0.62611663,0.0009840266,0.00019428461,0.0036615564,0.06576255,0.007813339,0.0036456487,0.1408578,0.0051474064,0.14448924],"study_design_scores_gemma":[0.000013219635,0.0002423838,0.82287836,0.00038450776,0.00014154312,0.0006178247,0.123698294,0.0012592108,0.0020698651,0.0017618805,0.046859715,0.00007323816],"about_ca_topic_score_codex":0.06560123,"about_ca_topic_score_gemma":0.09248837,"teacher_disagreement_score":0.06560123,"about_ca_system_score_codex":0.0043445886,"about_ca_system_score_gemma":0.003910109,"threshold_uncertainty_score":0.1304388},"labels":[],"label_agreement":null},{"id":"W4413500274","doi":"10.64628/aam.cnaw5mh7p","title":"Electric vehicles are now trending. But where can we charge them?","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Charge (physics); Computer science; Physics; Particle physics","score_opus":0.009760348268625527,"score_gpt":0.19665920089366853,"score_spread":0.18689885262504302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413500274","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010068268,0.067206174,0.0069908723,0.55908215,0.022851987,0.000029532159,0.00088742824,0.00070316263,0.3321805],"genre_scores_gemma":[0.18873188,0.1955268,0.008371351,0.16035439,0.012213245,0.00004896052,0.0019108324,0.00078305684,0.4320595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992544,0.000112067086,0.000022628321,0.00010173227,0.0003134564,0.00019568029],"domain_scores_gemma":[0.9984664,0.00023312164,0.00011140787,0.00006552299,0.0007986682,0.00032496869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007971871,0.00059999316,0.00040738724,0.0005973117,0.0018735967,0.0066670994,0.0008326422,0.002973176,0.05962141],"category_scores_gemma":[0.0030482973,0.00022668604,0.00040450905,0.001401884,0.0017323886,0.012341282,0.0019371759,0.0052015847,0.02401359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008821541,0.00007220644,0.0032885652,0.00045649937,0.00002321928,0.00018052703,0.00042694272,0.0002879137,0.0016577725,0.14964403,0.6789602,0.16491397],"study_design_scores_gemma":[0.000003856587,0.000017681421,0.0010641648,0.00018461118,0.0000066067996,0.00013662172,0.0012787124,0.00006414412,0.00023131107,0.013119908,0.98387975,0.000012695142],"about_ca_topic_score_codex":0.009896321,"about_ca_topic_score_gemma":0.02190612,"teacher_disagreement_score":0.05962141,"about_ca_system_score_codex":0.0020200077,"about_ca_system_score_gemma":0.0019911295,"threshold_uncertainty_score":0.19945347},"labels":[],"label_agreement":null},{"id":"W4413513741","doi":"10.1109/isie62713.2025.11124733","title":"A Multi-Purpose Method for Sizing and Placement of Electric Vehicle Charging Stations in Urban Areas","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 New Brunswick","funders":"","keywords":"Sizing; Electric vehicle; Automotive engineering; Computer science; Electrical engineering; Engineering; Power (physics)","score_opus":0.007580853903262025,"score_gpt":0.25744193664664833,"score_spread":0.2498610827433863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413513741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015459672,0.00012954442,0.98109686,0.00006111668,0.000026347725,0.00008697209,0.000038559418,0.0001918666,0.0029090429],"genre_scores_gemma":[0.48223537,0.00019590392,0.5139975,0.00007107607,0.000028605016,0.00028340987,0.0001221182,0.00007329976,0.0029927883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.00008183113,0.000015766633,0.00005425037,0.000088451605,0.000039433893],"domain_scores_gemma":[0.9996512,0.00015822788,0.000059859944,0.000021791855,0.00008766804,0.000021213786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007151537,0.00097079796,0.0008820977,0.0011986146,0.00047913668,0.0009116394,0.0010182564,0.00077265187,0.0020183423],"category_scores_gemma":[0.001081472,0.00075147464,0.0008146491,0.0010999568,0.00042244646,0.00054441066,0.00068634545,0.00047522175,0.0002668717],"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":[0.00002650589,0.000021703841,0.0003015268,0.00003993996,0.000020310314,0.00004280938,0.000024799736,0.9744017,0.0014794343,0.0013424158,0.00035241668,0.021946412],"study_design_scores_gemma":[0.0000049337827,0.000016347882,0.0000933221,0.0000040055565,0.000004973375,0.000008981217,0.00000825467,0.99901414,0.00023095151,0.00037383186,0.00023727112,0.0000028647612],"about_ca_topic_score_codex":0.007985924,"about_ca_topic_score_gemma":0.011544185,"teacher_disagreement_score":0.007985924,"about_ca_system_score_codex":0.00074128906,"about_ca_system_score_gemma":0.001242508,"threshold_uncertainty_score":0.015878856},"labels":[],"label_agreement":null},{"id":"W4413549945","doi":"10.64628/aam.jq75hmq5j","title":"5 ways families can help tackle climate change","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Climate change; Business; Environmental science; Environmental resource management; Natural resource economics; Computer science; Environmental planning; Economics; Geology; Oceanography","score_opus":0.01785311009505049,"score_gpt":0.18946737123918478,"score_spread":0.17161426114413428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413549945","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013942693,0.0024738843,0.005775386,0.4845413,0.005934548,0.000115465744,0.00025205538,0.00038370682,0.48658103],"genre_scores_gemma":[0.47396135,0.0053820824,0.014238209,0.19675294,0.0025282092,0.0006776322,0.0005350685,0.00028589205,0.30563858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.993048,0.0035838457,0.0001083797,0.00036012798,0.0008756911,0.0020239223],"domain_scores_gemma":[0.9892292,0.0019673316,0.0005506461,0.000595305,0.0021159484,0.0055416576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006389256,0.0008222735,0.00035220198,0.0011687757,0.013582955,0.007911823,0.0025982747,0.010034633,0.107928775],"category_scores_gemma":[0.018099772,0.00039560534,0.0012697908,0.00078774546,0.0051113353,0.011542721,0.010469718,0.0058947136,0.012417988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060507668,0.0005586039,0.006856345,0.00022587703,0.00006122354,0.0012316738,0.01979002,0.0004667404,0.0002155603,0.21004266,0.6248421,0.13564865],"study_design_scores_gemma":[0.000041011022,0.00008330548,0.0022657546,0.0007540669,0.00004105536,0.00031767675,0.03377405,0.00021464829,0.00015603655,0.05892994,0.9033788,0.000043671207],"about_ca_topic_score_codex":0.023673013,"about_ca_topic_score_gemma":0.05198644,"teacher_disagreement_score":0.107928775,"about_ca_system_score_codex":0.004680796,"about_ca_system_score_gemma":0.01841283,"threshold_uncertainty_score":0.36105776},"labels":[],"label_agreement":null},{"id":"W4413559315","doi":"10.1109/isie62713.2025.11124610","title":"Minimizing Total Travel Time for Intelligent EVs with Real-Time Traffic and Charging Constraints","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Wilfrid Laurier University","funders":"","keywords":"Computer science; Travel time; Real-time computing; Time travel; Transport engineering; Engineering; Artificial intelligence","score_opus":0.004028098845890374,"score_gpt":0.19433047563440076,"score_spread":0.1903023767885104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413559315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14564209,0.00042175825,0.84357446,0.00028883948,0.00007486152,0.000105195984,0.0002449531,0.0005547199,0.009093043],"genre_scores_gemma":[0.8955611,0.00032469528,0.0981288,0.000054178985,0.000024781111,0.00009459784,0.00034277607,0.00020015593,0.005268867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957997,0.00011225552,0.000016700482,0.0000909856,0.000077703895,0.0001224594],"domain_scores_gemma":[0.99961925,0.00017108783,0.000054160006,0.000034879966,0.00006783424,0.00005275334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048365816,0.001252255,0.00097284233,0.0005431504,0.00061818113,0.0012219195,0.0010771434,0.00078420324,0.0025798131],"category_scores_gemma":[0.0011552959,0.0005002307,0.00063152955,0.00087802025,0.00040483405,0.0013084648,0.0006912776,0.00066184474,0.0003741573],"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":[0.00008478943,0.000042991283,0.00046314436,0.000063969834,0.00002406986,0.000042590837,0.000036933186,0.97476906,0.0024077678,0.0036176927,0.00069630845,0.01775077],"study_design_scores_gemma":[0.000007209471,0.000058635986,0.00015807124,0.0000026848852,0.000012392497,0.000023910683,0.00004226353,0.9962084,0.0008128291,0.0019352442,0.0007330872,0.000005238199],"about_ca_topic_score_codex":0.011174932,"about_ca_topic_score_gemma":0.01265835,"teacher_disagreement_score":0.011174932,"about_ca_system_score_codex":0.0012181781,"about_ca_system_score_gemma":0.0019626739,"threshold_uncertainty_score":0.022219718},"labels":[],"label_agreement":null},{"id":"W4413560434","doi":"10.64628/aam.6tpgkmamc","title":"There aren’t enough batteries to electrify all cars — focus on trucks and buses instead","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Truck; Focus (optics); Transport engineering; Automotive engineering; Aeronautics; Telecommunications; Engineering; Physics","score_opus":0.012925136123350656,"score_gpt":0.21743151188258442,"score_spread":0.20450637575923375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413560434","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033546496,0.007405481,0.1459244,0.071636364,0.0030794227,0.00007400086,0.0004994047,0.0006713018,0.7371631],"genre_scores_gemma":[0.3359516,0.00712413,0.03539376,0.017112872,0.0011655289,0.00011961502,0.0005110984,0.0008504813,0.6017709],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997322,0.000036346486,0.000005836707,0.00008719435,0.000083039726,0.000055385844],"domain_scores_gemma":[0.9995989,0.00007340023,0.00002114955,0.00007400965,0.00016032558,0.00007233646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028550133,0.00086466054,0.00041563422,0.00047580714,0.0010074505,0.0019204335,0.0006818875,0.0014383956,0.034942187],"category_scores_gemma":[0.0009637603,0.0002747628,0.00038244628,0.00052714365,0.0009812827,0.0052062827,0.0015423805,0.0021856097,0.013268205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009412483,0.00014192381,0.0017837405,0.00039861898,0.000052269184,0.00022604344,0.00047800856,0.0031537616,0.0097847795,0.6187127,0.15842068,0.2067533],"study_design_scores_gemma":[0.00002042308,0.00004989201,0.0015258411,0.00017822157,0.00003607796,0.00038492333,0.0009230542,0.0038149592,0.006538329,0.47260404,0.51389974,0.00002443013],"about_ca_topic_score_codex":0.0034460747,"about_ca_topic_score_gemma":0.006971562,"teacher_disagreement_score":0.034942187,"about_ca_system_score_codex":0.0008495945,"about_ca_system_score_gemma":0.00063845934,"threshold_uncertainty_score":0.11689323},"labels":[],"label_agreement":null},{"id":"W4413597126","doi":"10.64628/aam.h69wpfd5v","title":"Funding electric public transit can reduce emissions and address economic inequality","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inequality; Transit (satellite); Public transport; Transit system; Business; Natural resource economics; Economics; Environmental science; Transport engineering; Engineering; Mathematics","score_opus":0.04681895985484924,"score_gpt":0.2649168132435897,"score_spread":0.21809785338874044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413597126","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66878974,0.0025650337,0.021020811,0.04357574,0.0014089603,0.00014356352,0.0023785809,0.000591214,0.2595264],"genre_scores_gemma":[0.9721549,0.0005597147,0.0009021164,0.0006402377,0.000250824,0.000040252504,0.00025049338,0.000036716825,0.025164738],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994104,0.00018488368,0.000014489994,0.00004984968,0.000099974575,0.00024043684],"domain_scores_gemma":[0.99708587,0.0013496957,0.00045866705,0.00018776691,0.0006321989,0.00028578934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011020594,0.0003666032,0.00031247098,0.0005353798,0.00042525862,0.0013284334,0.00034242644,0.001041441,0.036540844],"category_scores_gemma":[0.0077379285,0.000083844476,0.0003074961,0.0008705134,0.00045298465,0.0009988529,0.0010636001,0.0005783334,0.0012917405],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037671803,0.0019242781,0.06335295,0.0011719627,0.0003868399,0.00069914246,0.0015082242,0.034854412,0.008982239,0.36826977,0.10983608,0.4052469],"study_design_scores_gemma":[0.0015279053,0.0012950967,0.11534367,0.00070852245,0.001268936,0.0003092255,0.007330149,0.06445202,0.013632937,0.5394771,0.25458047,0.00007394896],"about_ca_topic_score_codex":0.00646946,"about_ca_topic_score_gemma":0.009444708,"teacher_disagreement_score":0.036540844,"about_ca_system_score_codex":0.0011501767,"about_ca_system_score_gemma":0.002487294,"threshold_uncertainty_score":0.12224126},"labels":[],"label_agreement":null},{"id":"W4413607856","doi":"10.64628/aam.k7vnm7tx6","title":"What Honda’s big electric vehicle announcement in Ontario really means","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric cars; Electric vehicle; Aeronautics; Engineering; Automotive engineering; Physics","score_opus":0.010734678998474328,"score_gpt":0.20491098764869708,"score_spread":0.19417630865022276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413607856","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050751958,0.0034493,0.001836727,0.21308957,0.005869365,0.000056147055,0.012295945,0.00045134124,0.7121996],"genre_scores_gemma":[0.5113529,0.0029045593,0.0009024093,0.019098045,0.0013955418,0.000037416794,0.003921628,0.0003727332,0.46001476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973411,0.0001301917,0.00005229823,0.00026274478,0.0012003755,0.0010133157],"domain_scores_gemma":[0.9962984,0.00046328656,0.00033742283,0.00022087531,0.0018168682,0.0008631938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010187426,0.00034247086,0.00038438992,0.00077638106,0.0055481168,0.007555382,0.0005407623,0.003211828,0.036700193],"category_scores_gemma":[0.007244037,0.0003913493,0.00046587293,0.0021190937,0.0024344735,0.0037367903,0.001217804,0.0028844678,0.0044934223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018462089,0.000032587897,0.022293141,0.00017938751,0.00006043089,0.00056384085,0.003375971,0.00047470196,0.00070889085,0.11277956,0.8393105,0.020036398],"study_design_scores_gemma":[0.000024068333,0.000011875325,0.03875964,0.000101803285,0.000042275577,0.00009239771,0.0068169613,0.0004599799,0.0006847945,0.014768409,0.9381592,0.000078577425],"about_ca_topic_score_codex":0.95169425,"about_ca_topic_score_gemma":0.97591984,"teacher_disagreement_score":0.04830575,"about_ca_system_score_codex":0.040900376,"about_ca_system_score_gemma":0.03621478,"threshold_uncertainty_score":0.29675442},"labels":[],"label_agreement":null},{"id":"W4413614545","doi":"10.64628/aam.ec9jdu6e9","title":"The growing demand for pet-friendly workplaces","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Environmentally friendly; Business; Environmental economics; Economics","score_opus":0.0037371962533089167,"score_gpt":0.20061386954533106,"score_spread":0.19687667329202213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413614545","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48696077,0.022471635,0.017754288,0.090364404,0.004788209,0.00006569216,0.0020003256,0.00091456244,0.37468007],"genre_scores_gemma":[0.7720418,0.012599598,0.008435773,0.014814084,0.0018131693,0.00005605501,0.0019508954,0.00034748815,0.18794113],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994929,0.00008470814,0.000016311478,0.00010554028,0.00017037556,0.00013013733],"domain_scores_gemma":[0.99723166,0.0006396592,0.00039292374,0.00016025233,0.0006341809,0.00094125816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056952744,0.00022631437,0.00022876041,0.000451199,0.0008676718,0.001776854,0.0008794462,0.001954782,0.09163688],"category_scores_gemma":[0.0013660847,0.00014847193,0.00043364408,0.00083205255,0.00062132534,0.0012737463,0.00131582,0.0017163393,0.014081205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059036777,0.00066085364,0.05389662,0.0023552019,0.000049115577,0.003643043,0.0041115424,0.001342312,0.042177282,0.05198149,0.26100472,0.5781874],"study_design_scores_gemma":[0.000020306714,0.0003536324,0.07802744,0.00072409236,0.000022633369,0.0043411646,0.013702172,0.0010546977,0.0022215296,0.0051719714,0.8943251,0.000035384273],"about_ca_topic_score_codex":0.0021229358,"about_ca_topic_score_gemma":0.005925851,"teacher_disagreement_score":0.09163688,"about_ca_system_score_codex":0.00069060136,"about_ca_system_score_gemma":0.0008208824,"threshold_uncertainty_score":0.30655593},"labels":[],"label_agreement":null},{"id":"W4413672452","doi":"10.64628/aam.tcseydpeh","title":"How to get more electric vehicles on the road","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electric cars; Transport engineering; Computer science; Automotive engineering; Engineering","score_opus":0.010387242664124816,"score_gpt":0.21869457822448216,"score_spread":0.20830733556035735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413672452","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027210318,0.008714955,0.14338014,0.16228248,0.01308298,0.00023914596,0.0009318758,0.0025908977,0.64156723],"genre_scores_gemma":[0.37949303,0.015285332,0.10088823,0.024040587,0.0033317516,0.00028567706,0.002328946,0.0037838398,0.47056264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986058,0.00038726308,0.000055515244,0.0002461216,0.00042851997,0.0002768603],"domain_scores_gemma":[0.9980767,0.00036050729,0.00006925907,0.00041651097,0.00072254444,0.00035450578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012111167,0.00080373656,0.00062136084,0.0006341457,0.0017829983,0.005980798,0.0013406569,0.0039767358,0.087996654],"category_scores_gemma":[0.007590735,0.00038537523,0.0008972509,0.00092941726,0.0015643686,0.013183534,0.0034789876,0.0032028728,0.034344707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001296728,0.0002762995,0.0015848988,0.00080003275,0.00010449982,0.00037379417,0.0010823811,0.0071820826,0.0030729943,0.40179196,0.2668516,0.31674975],"study_design_scores_gemma":[0.000030100926,0.000050833718,0.0006541627,0.0002599805,0.000046582118,0.00025240504,0.0021919827,0.0035683732,0.001793276,0.3548032,0.6363064,0.00004269751],"about_ca_topic_score_codex":0.004459838,"about_ca_topic_score_gemma":0.0057330104,"teacher_disagreement_score":0.087996654,"about_ca_system_score_codex":0.0010454133,"about_ca_system_score_gemma":0.001833977,"threshold_uncertainty_score":0.29437816},"labels":[],"label_agreement":null},{"id":"W4413805226","doi":"10.1016/j.rineng.2025.106995","title":"Analyzing internet of things emergence for modern electric vehicle industry","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Waterloo","funders":"University of Tabriz","keywords":"Internet of Things; Electric vehicle; Industrial Internet; The Internet; Business; Computer security; Computer science; Internet privacy; Engineering; Commerce; World Wide Web; Physics","score_opus":0.005067745524620614,"score_gpt":0.21321450180901444,"score_spread":0.20814675628439383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413805226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6031909,0.015210353,0.07300611,0.021251319,0.0015526015,0.00027579739,0.0059321513,0.0006083688,0.2789724],"genre_scores_gemma":[0.9778566,0.004882347,0.0066337497,0.0008851134,0.00031366578,0.000067260495,0.001913733,0.00006832764,0.0073791575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99949574,0.00007886433,0.000027742233,0.000104204715,0.00019066951,0.0001027519],"domain_scores_gemma":[0.9992004,0.00026684476,0.00014082062,0.00007104315,0.00025947354,0.000061500556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061323197,0.00036394692,0.00018483796,0.0020522557,0.00067846105,0.0023063263,0.00033760522,0.000922606,0.0028690489],"category_scores_gemma":[0.0022655935,0.00015242466,0.0004848373,0.0023657042,0.0005270088,0.0036200942,0.0011071988,0.0009994688,0.00077793363],"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":[0.00023610293,0.0002510707,0.23290677,0.0008530243,0.00017328539,0.004449174,0.003461813,0.032545544,0.007992369,0.39031872,0.06617864,0.2606335],"study_design_scores_gemma":[0.00001662601,0.00015150625,0.2227356,0.00088386936,0.00013868551,0.0023953512,0.012939617,0.17119013,0.004052247,0.14796768,0.4373692,0.00015954583],"about_ca_topic_score_codex":0.00270168,"about_ca_topic_score_gemma":0.003941865,"teacher_disagreement_score":0.0028690489,"about_ca_system_score_codex":0.001025633,"about_ca_system_score_gemma":0.0005309289,"threshold_uncertainty_score":0.0095978975},"labels":[],"label_agreement":null},{"id":"W4413822558","doi":"10.1109/pvsc59419.2025.11132457","title":"Parametric Testing of Ride-Through and Volt-Var Capabilities of Residential Scale Solar Inverters","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Volt; Parametric statistics; Scale (ratio); Electrical engineering; Environmental science; Automotive engineering; Engineering; Computer science; Voltage; Physics; Mathematics","score_opus":0.0060314328131214874,"score_gpt":0.20023919908663232,"score_spread":0.19420776627351083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413822558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990553,0.00004066756,0.0076373406,0.00002106922,0.000017613494,0.000027227761,0.00018354315,0.00023637815,0.001283167],"genre_scores_gemma":[0.9992723,0.000009511139,0.00046197014,0.0000030318822,0.0000010177911,0.000007821942,0.000032908465,0.000009182502,0.00020224949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994615,0.0001211798,0.000037951264,0.000090429785,0.00018913843,0.00009981239],"domain_scores_gemma":[0.99812883,0.0009050868,0.0002020352,0.00039855868,0.00028044858,0.00008508169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056680734,0.00043971965,0.00027624005,0.00046327896,0.00020372336,0.0003389749,0.00071626174,0.00044417585,0.0025931464],"category_scores_gemma":[0.002659669,0.00012612123,0.0002725285,0.00028060208,0.0003555498,0.00046222052,0.0003834568,0.00046114298,0.00032477782],"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":[0.0032927599,0.0015092586,0.035788994,0.00080550305,0.00018703689,0.0012791308,0.0014131817,0.15114033,0.67657965,0.0016707977,0.0013407184,0.12499266],"study_design_scores_gemma":[0.0001764702,0.018865302,0.07881924,0.00007549686,0.00014229698,0.00097510294,0.0008395518,0.2726153,0.62267905,0.0011407129,0.0035605237,0.000111026115],"about_ca_topic_score_codex":0.00055765227,"about_ca_topic_score_gemma":0.0005724852,"teacher_disagreement_score":0.0025931464,"about_ca_system_score_codex":0.00017099062,"about_ca_system_score_gemma":0.00014000805,"threshold_uncertainty_score":0.008674979},"labels":[],"label_agreement":null},{"id":"W4413915964","doi":"10.1016/j.cstp.2025.101588","title":"Addressing the electric vehicle adoption gap for small fleets: A case study of local energy transitions in British Columbia","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Pacific Institute for Climate Solutions; U.S. Department of Energy","keywords":"Electric vehicle; Business; Energy (signal processing); Transport engineering; Engineering; Physics; Power (physics)","score_opus":0.03174549265519627,"score_gpt":0.2805734731440417,"score_spread":0.2488279804888454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413915964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949327,0.0001232295,0.00011837515,0.000904428,0.000008235009,0.000066309156,0.00006366135,0.0000067754,0.00377625],"genre_scores_gemma":[0.9958341,0.00024112343,0.00024523842,0.00051388674,0.0000027814317,0.000056347093,0.00008388578,0.000013621402,0.0030091375],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9982639,0.00037361827,0.000048768965,0.00014430158,0.0002972961,0.0008722041],"domain_scores_gemma":[0.9961116,0.0008512659,0.00024107264,0.0001234259,0.0011993627,0.0014733538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012414468,0.00040914156,0.0005300668,0.0015106853,0.016074734,0.0034356932,0.0025096163,0.0013657094,0.0047292514],"category_scores_gemma":[0.0036982866,0.00045320427,0.00036416645,0.0033364755,0.0030209608,0.0013546823,0.0029563913,0.0026337577,0.00035327722],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042703282,0.0021201307,0.39120963,0.00053910003,0.000089271816,0.031679,0.4832472,0.0014732471,0.003862474,0.0061289165,0.013286141,0.06593794],"study_design_scores_gemma":[0.000025282407,0.00015222224,0.158679,0.00026338617,0.000028988388,0.0006504361,0.8253694,0.0012412904,0.0002523417,0.00033745708,0.0129325865,0.00006771346],"about_ca_topic_score_codex":0.97706586,"about_ca_topic_score_gemma":0.9929558,"teacher_disagreement_score":0.04675346,"about_ca_system_score_codex":0.04675346,"about_ca_system_score_gemma":0.04909892,"threshold_uncertainty_score":0.33922166},"labels":[],"label_agreement":null},{"id":"W4414009980","doi":"10.1109/iccsc66714.2025.11135204","title":"Benefits, Challenges, and Limitations of Combining Artificial Intelligence and Vehicle-to-Grid (V2G) Technologies into One Energy Management System","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Vehicle-to-grid; Grid; Energy management; Systems engineering; Energy (signal processing); Engineering; Electric vehicle","score_opus":0.02712424679282835,"score_gpt":0.20665770369067937,"score_spread":0.17953345689785102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414009980","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0796925,0.10825832,0.3622071,0.13559966,0.003704491,0.0001745014,0.00021391289,0.0011078448,0.30904165],"genre_scores_gemma":[0.77952313,0.055424448,0.13488752,0.006528712,0.0024777479,0.00015232539,0.0001460743,0.00017877355,0.020681273],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979019,0.0006298668,0.00011348956,0.00021723691,0.00095386826,0.00018371663],"domain_scores_gemma":[0.997844,0.0010472443,0.000118228905,0.00025832313,0.000573729,0.00015847443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029220046,0.00084464595,0.0005983228,0.00090767164,0.001039727,0.0045606336,0.0012982195,0.0025564935,0.0018929744],"category_scores_gemma":[0.0025269433,0.00040376838,0.00054779404,0.0009492963,0.002396399,0.009166339,0.0031512296,0.0031108106,0.00094882416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001654518,0.00018314438,0.0045019733,0.00087924267,0.0001258733,0.00033580587,0.00048070872,0.025448175,0.006372023,0.4753111,0.01056344,0.47563317],"study_design_scores_gemma":[0.00004738299,0.0005662703,0.0031185232,0.001537461,0.00011652908,0.00092400593,0.0021764562,0.12043112,0.0060685286,0.49368027,0.37115613,0.0001773308],"about_ca_topic_score_codex":0.0017214157,"about_ca_topic_score_gemma":0.001683752,"teacher_disagreement_score":0.0045606336,"about_ca_system_score_codex":0.0013500314,"about_ca_system_score_gemma":0.001559688,"threshold_uncertainty_score":0.015453219},"labels":[],"label_agreement":null},{"id":"W4414015640","doi":"10.11159/eee25.138","title":"Enhanced Grid Stability and Demand-Side Optimization through Deep Neural Network-Controlled Vehicle-to-Grid (V2G) Peak Shaving and Load Shifting","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Peaking power plant; Grid; Demand side; Load balancing (electrical power); Computer science; Vehicle-to-grid; Stability (learning theory); Peak demand; Artificial neural network; Automotive engineering; Distributed generation; Electrical engineering; Engineering; Electric vehicle; Mathematics; Artificial intelligence; Renewable energy; Electricity; Power (physics)","score_opus":0.0039834545769678225,"score_gpt":0.1897900579892383,"score_spread":0.18580660341227045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32364073,0.0008454476,0.6568245,0.0006893357,0.00017540141,0.00006912939,0.00023252648,0.0019113022,0.015611635],"genre_scores_gemma":[0.9912976,0.00006559566,0.0073823314,0.000054605214,0.000008597535,0.000015766847,0.000075776414,0.000015995112,0.0010837311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998964,0.000016985732,0.0000059280064,0.00002627582,0.000025061854,0.00002930936],"domain_scores_gemma":[0.999864,0.00004116469,0.000023160372,0.000008856667,0.000050778457,0.00001213346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002824323,0.00056167546,0.00036186093,0.0001512238,0.00021611029,0.000502673,0.0006098569,0.00040068117,0.0007268005],"category_scores_gemma":[0.00050071825,0.0002794453,0.00031573084,0.00020347857,0.0002669132,0.00047197385,0.0004108977,0.00070970325,0.00012551142],"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":[0.00006480398,0.00005146496,0.0007278659,0.000023763283,0.000023679424,0.00004244278,0.000018963095,0.97429013,0.0027106814,0.0006588168,0.00063262274,0.02075467],"study_design_scores_gemma":[0.0000021035553,0.000008115836,0.00007631175,8.9396065e-7,0.0000019771026,0.0000018631526,0.0000017694025,0.99937147,0.00031148334,0.00017087194,0.00005203463,0.0000011610855],"about_ca_topic_score_codex":0.017436398,"about_ca_topic_score_gemma":0.0199842,"teacher_disagreement_score":0.017436398,"about_ca_system_score_codex":0.0007435179,"about_ca_system_score_gemma":0.0006733288,"threshold_uncertainty_score":0.034669816},"labels":[],"label_agreement":null},{"id":"W4414105209","doi":"10.20944/preprints202509.0825.v1","title":"A Review of the Current Status of Global Electric Vehicle Charging Infrastructure Development","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Charging station; Promotion (chess); Electric vehicle; Grid; Smart grid; Public policy; Current (fluid); New energy","score_opus":0.025749411624535493,"score_gpt":0.2937111378616641,"score_spread":0.2679617262371286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414105209","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017884594,0.9815833,0.0017773632,0.0019950366,0.00119954,0.000015337697,0.00033535852,0.000068651,0.011236929],"genre_scores_gemma":[0.0070119775,0.98946583,0.00077903835,0.0003996337,0.00067987246,0.000009649822,0.00038080872,0.000015138332,0.0012581132],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993432,0.00012253388,0.00011418887,0.00013489003,0.00022757232,0.00005754758],"domain_scores_gemma":[0.99760723,0.001263177,0.0002904987,0.0000913523,0.0006445616,0.00010308265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011389571,0.00086072227,0.0006599743,0.0043318765,0.0003973415,0.002019651,0.0006729458,0.0009054534,0.008253316],"category_scores_gemma":[0.0027176489,0.00040256177,0.0005697289,0.00932315,0.00047393903,0.0036876022,0.00095102214,0.0008319229,0.0020287219],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005407056,0.000046307963,0.0017113863,0.025594288,0.00007424959,0.0001713943,0.00024086483,0.0017129291,0.0007883476,0.015120375,0.059527013,0.8949587],"study_design_scores_gemma":[0.0000034637123,0.00006585204,0.0032516562,0.0070424075,0.00010318556,0.00045377103,0.00033246283,0.0003929095,0.00041552505,0.0032085166,0.98470324,0.000027066606],"about_ca_topic_score_codex":0.0024743385,"about_ca_topic_score_gemma":0.0025944777,"teacher_disagreement_score":0.008253316,"about_ca_system_score_codex":0.0009516123,"about_ca_system_score_gemma":0.0023249944,"threshold_uncertainty_score":0.027610064},"labels":[],"label_agreement":null},{"id":"W4414250274","doi":"10.3390/wevj16090521","title":"Establishment of Ten New Sections in WEVJ","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Waterloo","funders":"","keywords":"Field (mathematics); Section (typography)","score_opus":0.0036134394794139534,"score_gpt":0.2055190148864821,"score_spread":0.20190557540706816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414250274","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08142225,0.009555721,0.068763345,0.12455867,0.24898972,0.005420426,0.0029312887,0.0073346198,0.45102406],"genre_scores_gemma":[0.06980427,0.003066956,0.032811597,0.030400367,0.016213223,0.0011857159,0.0032369627,0.0014990283,0.84178185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9910574,0.00090398674,0.00083792926,0.0009196667,0.003897638,0.002383458],"domain_scores_gemma":[0.94053435,0.0048926957,0.0024902788,0.0032609028,0.029286245,0.019535568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017054964,0.00052483263,0.00036202086,0.0031548112,0.004631942,0.007875004,0.0022798793,0.004445819,0.055282656],"category_scores_gemma":[0.02087823,0.00084960624,0.0009384311,0.0018469881,0.001935286,0.006582839,0.004477627,0.0051286705,0.021322932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018478448,0.0006052073,0.012219515,0.0005176462,0.000029753985,0.0014428011,0.0023779909,0.00042815245,0.008961632,0.07698068,0.7087309,0.18752101],"study_design_scores_gemma":[0.000015625632,0.000094134026,0.004506943,0.00015441285,0.00000926364,0.0003499759,0.00047316818,0.00016488187,0.0011613591,0.0021703297,0.9908659,0.000034088047],"about_ca_topic_score_codex":0.004922763,"about_ca_topic_score_gemma":0.011330264,"teacher_disagreement_score":0.055282656,"about_ca_system_score_codex":0.0035511015,"about_ca_system_score_gemma":0.027239274,"threshold_uncertainty_score":0.18493891},"labels":[],"label_agreement":null},{"id":"W4414257598","doi":"10.54254/2755-2721/2025.ast26989","title":"ZIP-Code–Level Drivers of EV Adoption in Washington: Socioeconomics, Urbanization, and Charger Proximity (2020–2025)","year":2025,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Toronto","funders":"","keywords":"Rurality; Socioeconomic status; Work (physics); State (computer science); Noise (video)","score_opus":0.0036643486700529107,"score_gpt":0.1715421387050375,"score_spread":0.1678777900349846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414257598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701995,0.00003857982,0.00009388392,0.00003606513,0.000002975935,0.000004482182,0.0019270834,0.0000047341186,0.0008722028],"genre_scores_gemma":[0.9968125,0.00005096101,0.00008701095,0.000010402139,0.0000026293806,0.000006163534,0.0020476573,0.000001873799,0.0009808566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992085,0.000011937908,0.000006109755,0.000023487337,0.000014243073,0.000023420414],"domain_scores_gemma":[0.99946326,0.00008126678,0.0002620413,0.00003048446,0.0000939964,0.000069024434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017933789,0.00011659757,0.00006763996,0.00044883342,0.00017553523,0.00039659828,0.00015164906,0.00014043042,0.0021334207],"category_scores_gemma":[0.0007108959,0.000082178696,0.00023394592,0.0008216242,0.0001274506,0.00030032528,0.0003446077,0.0002337165,0.00028444824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002494935,0.000022128344,0.996617,0.0000054981406,0.00002643551,0.000029272827,0.00009120724,0.00031225066,0.00012245767,0.00008090268,0.00050255255,0.002165348],"study_design_scores_gemma":[8.038648e-7,0.000012911992,0.9984865,0.0000066668067,0.000008660323,0.000024952327,0.0003493955,0.00040793075,0.00006603804,0.000017015782,0.000617234,0.000001880739],"about_ca_topic_score_codex":0.08356465,"about_ca_topic_score_gemma":0.16152382,"teacher_disagreement_score":0.08356465,"about_ca_system_score_codex":0.00042550414,"about_ca_system_score_gemma":0.00022985622,"threshold_uncertainty_score":0.16615647},"labels":[],"label_agreement":null},{"id":"W4414261416","doi":"10.22541/essoar.175767416.66468217/v1","title":"A Review of the Current Status of Global Electric Vehicle Charging Infrastructure Development","year":2025,"lang":"en","type":"review","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Charging station; Promotion (chess); Electric vehicle; Smart grid; Grid; Public policy; Current (fluid); New energy","score_opus":0.00877059277320309,"score_gpt":0.26672781567929205,"score_spread":0.25795722290608897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414261416","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022313283,0.9969797,0.0001971474,0.00039904861,0.00019279346,0.000008898022,0.00007132188,0.000011295722,0.0019166549],"genre_scores_gemma":[0.00095062336,0.99826497,0.00017486073,0.00014686339,0.000097115306,0.000006023356,0.000060477643,0.0000018814409,0.00029715017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994272,0.00010001335,0.000106725216,0.00009849687,0.00022590885,0.00004172681],"domain_scores_gemma":[0.99837315,0.000842865,0.00023738245,0.000043534896,0.00043372472,0.00006932564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012391052,0.0009362958,0.0011275933,0.0046485616,0.00039699278,0.0014299422,0.0008620548,0.0009675878,0.00628158],"category_scores_gemma":[0.0022699698,0.0004462737,0.0008284007,0.007058082,0.0003758868,0.0022508577,0.0007888234,0.0010476855,0.0014455678],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046030797,0.000070462214,0.0005031661,0.07913759,0.00014598008,0.00015648658,0.00015954651,0.0008116957,0.0009261488,0.007754182,0.037926387,0.8723624],"study_design_scores_gemma":[0.0000061240053,0.000089664354,0.00139278,0.015241516,0.0002324929,0.0004619711,0.00012823862,0.00011088934,0.00031038356,0.0015643833,0.98043925,0.000022293312],"about_ca_topic_score_codex":0.0027660197,"about_ca_topic_score_gemma":0.004259812,"teacher_disagreement_score":0.00628158,"about_ca_system_score_codex":0.0008713279,"about_ca_system_score_gemma":0.003448992,"threshold_uncertainty_score":0.021013975},"labels":[],"label_agreement":null},{"id":"W4414440196","doi":"10.1016/j.sftr.2025.101296","title":"Impact of the car fleet evolution on electricity demand in Québec","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Electrification; Electricity; Miles per gallon gasoline equivalent; Internal combustion engine; Greenhouse gas; Electric vehicle; Range (aeronautics); Green vehicle; Battery electric vehicle","score_opus":0.0014594469312381882,"score_gpt":0.2030606719889674,"score_spread":0.2016012250577292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414440196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97779703,0.00020101508,0.00040803515,0.000486044,0.000016686736,0.00003325622,0.009623759,0.000046341793,0.011387791],"genre_scores_gemma":[0.99225533,0.00009276129,0.0001917948,0.0000671729,0.0000023767122,0.000008409439,0.0035812908,0.000013384143,0.0037875206],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996246,0.000037830974,0.000012440425,0.000074159,0.00011813327,0.0001329356],"domain_scores_gemma":[0.9989629,0.000106861764,0.00008811477,0.00003347076,0.00066887506,0.00013976854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587144,0.00032329684,0.00021769464,0.0008464621,0.0009869194,0.0016973224,0.00093387946,0.00045767246,0.0052363793],"category_scores_gemma":[0.0012593325,0.00017434156,0.00052218896,0.0016099779,0.00032609177,0.0005734942,0.00040545725,0.00041878351,0.00036768033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038914516,0.00021558221,0.83365935,0.000113023656,0.0003168799,0.001685746,0.0007754749,0.1072494,0.0040362407,0.0035004884,0.016458118,0.03160056],"study_design_scores_gemma":[0.000018335219,0.000073737545,0.8722139,0.000039995128,0.000045179393,0.00020163963,0.0026984424,0.106820144,0.00097470067,0.00020300766,0.016627675,0.00008325261],"about_ca_topic_score_codex":0.98904896,"about_ca_topic_score_gemma":0.9905922,"teacher_disagreement_score":0.030059844,"about_ca_system_score_codex":0.030059844,"about_ca_system_score_gemma":0.0072988276,"threshold_uncertainty_score":0.21810043},"labels":[],"label_agreement":null},{"id":"W4414519835","doi":"10.18280/ijsdp.200829","title":"A Global Assessment of Skills, Strategies, and Policy Frameworks for Sustainable Electric Vehicle Adoption in South Africa","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Sustainable transport; Sustainable development; Sustainability","score_opus":0.004463225645876367,"score_gpt":0.2558295444054644,"score_spread":0.25136631875958804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414519835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77804846,0.03473754,0.0052430765,0.041616946,0.00013708748,0.0005871583,0.0009963578,0.00004601061,0.13858743],"genre_scores_gemma":[0.9796286,0.015501017,0.0021129344,0.0005608239,0.000009023877,0.00011422213,0.00013031496,0.000007337277,0.0019358012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992105,0.0002813336,0.000050948885,0.000041955915,0.00012340647,0.00029181814],"domain_scores_gemma":[0.9989201,0.00042605583,0.00025379198,0.000025249472,0.00020381539,0.0001710386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020097147,0.0004480928,0.00021360793,0.002162755,0.00093493046,0.0030192682,0.00043174718,0.0007263802,0.0031889386],"category_scores_gemma":[0.003014194,0.00018407677,0.00035516257,0.0031152456,0.0012947386,0.0032927182,0.003171493,0.00079501333,0.00016583278],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021959821,0.000284336,0.08839988,0.009705911,0.0002310108,0.004189691,0.0498344,0.011154059,0.007743755,0.37221023,0.009839865,0.44618732],"study_design_scores_gemma":[0.00006271607,0.00053361425,0.25594014,0.0138669545,0.0003292192,0.0014180383,0.24760221,0.004789685,0.00493337,0.06170263,0.40871045,0.00011095181],"about_ca_topic_score_codex":0.01166085,"about_ca_topic_score_gemma":0.0140785845,"teacher_disagreement_score":0.01166085,"about_ca_system_score_codex":0.004825749,"about_ca_system_score_gemma":0.0095383655,"threshold_uncertainty_score":0.035013497},"labels":[],"label_agreement":null},{"id":"W4414519920","doi":"10.18280/ijsdp.200833","title":"Reducing Carbon Emissions Through EVs Preference: Evidence from Suburban East Coast Malaysia","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaysia Terengganu","keywords":"Greenhouse gas; East coast; Carbon fibers; Air pollution; Global warming","score_opus":0.016410714309419074,"score_gpt":0.24490392208884845,"score_spread":0.22849320777942939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414519920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964359,0.0003470249,0.00005479432,0.00023697923,0.0000047341614,0.0000074945006,0.00008792843,0.0000012391939,0.00282389],"genre_scores_gemma":[0.99827886,0.00046703877,0.00006793278,0.0000762766,0.0000025863194,0.000004621275,0.00004947161,0.0000010557395,0.0010521078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993303,0.0003116057,0.000033120294,0.00008228445,0.00007787341,0.00016483838],"domain_scores_gemma":[0.9958811,0.0019430046,0.0012162155,0.00015408185,0.00049389154,0.000311673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010760787,0.0003199836,0.00026156162,0.00035835465,0.00050320313,0.0010568586,0.00047753486,0.0005795841,0.0051480345],"category_scores_gemma":[0.0034444716,0.00016753624,0.0004633139,0.0006792791,0.00062299863,0.0008525342,0.0005794813,0.0007389224,0.00041203835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025523007,0.0019591763,0.937981,0.0006885119,0.00069190044,0.00076183194,0.00245894,0.0013607986,0.0012104533,0.0021977208,0.0009453461,0.047192056],"study_design_scores_gemma":[0.00017799358,0.0023284531,0.9630254,0.00044727573,0.00092946674,0.00036893896,0.020760288,0.0012748907,0.0028453267,0.0015771111,0.0062091956,0.000055837878],"about_ca_topic_score_codex":0.036454316,"about_ca_topic_score_gemma":0.073977105,"teacher_disagreement_score":0.036454316,"about_ca_system_score_codex":0.0007993113,"about_ca_system_score_gemma":0.0012864439,"threshold_uncertainty_score":0.072484255},"labels":[],"label_agreement":null},{"id":"W4414525681","doi":"10.1007/978-3-031-94997-5_20","title":"Promoting Electric Vehicle Accessibility: Integrative Strategies and Innovations","year":2025,"lang":"en","type":"book-chapter","venue":"Information systems engineering and management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"SAFER; Electric vehicle; Air quality index; Metropolitan area; Air pollutants; Quality (philosophy)","score_opus":0.004776858187095481,"score_gpt":0.18966610916773322,"score_spread":0.18488925098063774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414525681","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029164983,0.074278206,0.04871423,0.023013595,0.001183414,0.0001441571,0.00006153166,0.0002559681,0.82318383],"genre_scores_gemma":[0.5446179,0.15634501,0.040630948,0.004639923,0.0014906063,0.00024398824,0.00016674904,0.00018444266,0.25168058],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919194,0.0002814161,0.00002575183,0.000098662174,0.00031294694,0.00008940192],"domain_scores_gemma":[0.9989262,0.0005549891,0.00008258531,0.00007122504,0.00024592015,0.00011899399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015982724,0.0007226063,0.00028601897,0.0015141417,0.0006578972,0.0059555643,0.0010748984,0.001578123,0.009268193],"category_scores_gemma":[0.0017753806,0.0002170389,0.00027391408,0.0020762684,0.0017817816,0.0066986512,0.0026050294,0.0015966075,0.0012069271],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020495987,0.0002561528,0.0009322032,0.0007993512,0.000013169889,0.00007423193,0.0021712896,0.00087268086,0.0012450137,0.37134027,0.021095503,0.6011796],"study_design_scores_gemma":[0.000024697252,0.00022940496,0.0038577206,0.0023511017,0.000054483007,0.0004571032,0.009130584,0.0021629184,0.0038312257,0.16938126,0.8084893,0.000030209363],"about_ca_topic_score_codex":0.0014761201,"about_ca_topic_score_gemma":0.003558273,"teacher_disagreement_score":0.009268193,"about_ca_system_score_codex":0.0017465126,"about_ca_system_score_gemma":0.0035238755,"threshold_uncertainty_score":0.031005204},"labels":[],"label_agreement":null},{"id":"W4414557833","doi":"10.1016/j.energy.2025.138687","title":"Cost-efficient energy management between electric vehicle charging stations and distribution systems using intelligent scheduling","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","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":"Horizon College and Seminary","funders":"","keywords":"Smart grid; Energy management; MATLAB; Scalability; Scheduling (production processes); Convergence (economics); Electric vehicle; Energy management system; Electric power system; Demand response","score_opus":0.011555981094930274,"score_gpt":0.23150579198347798,"score_spread":0.2199498108885477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414557833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22242516,0.00050583645,0.7635293,0.00046379887,0.00024602545,0.00018002935,0.00010642457,0.0006180839,0.0119253155],"genre_scores_gemma":[0.98716193,0.000043304935,0.0112636825,0.000018474602,0.000021536305,0.000016628941,0.000032437947,0.000024771902,0.0014171929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992779,0.00020907572,0.00003106489,0.00012342092,0.00015893148,0.00019956785],"domain_scores_gemma":[0.9993382,0.00032384417,0.00008275666,0.00005812855,0.00012515609,0.00007184739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009809238,0.00079523266,0.001105614,0.0005648125,0.0010645031,0.002029872,0.0013148373,0.0005530988,0.0031620718],"category_scores_gemma":[0.0018969805,0.00052564475,0.00046048584,0.001027986,0.00042413353,0.0015578513,0.00086388853,0.0006903632,0.00022875301],"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":[0.00036802966,0.0001468931,0.00084664545,0.000031555708,0.000052238764,0.0000589296,0.000045814613,0.9493526,0.0026215336,0.0057141157,0.0008913256,0.039870247],"study_design_scores_gemma":[0.00001593228,0.000044794284,0.0002571261,0.0000013771122,0.0000140604825,0.000008678272,0.000024319972,0.99638236,0.00066160795,0.0023189846,0.00026651067,0.0000041783837],"about_ca_topic_score_codex":0.006936615,"about_ca_topic_score_gemma":0.010273828,"teacher_disagreement_score":0.006936615,"about_ca_system_score_codex":0.001681414,"about_ca_system_score_gemma":0.0015842528,"threshold_uncertainty_score":0.013792455},"labels":[],"label_agreement":null},{"id":"W4414604338","doi":"10.1109/esm.2025.3583600","title":"Driving Sustainability Through Fleet Electrification, Smart Routing, and Peer-to-Peer Energy Trading: Energy Operations Can Become a Source of Profit","year":2025,"lang":"en","type":"article","venue":"IEEE Energy Sustainability Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Laval","funders":"","keywords":"Electrification; Renewable energy; Electricity; Truck; Energy supply; Profit (economics); Backup; Energy storage; Grid; Energy source","score_opus":0.004416581184848552,"score_gpt":0.226274629060021,"score_spread":0.22185804787517244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414604338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2752648,0.00060359185,0.6878527,0.002033521,0.00013655284,0.00018829042,0.00015714394,0.00058258686,0.033180844],"genre_scores_gemma":[0.9748548,0.00018493546,0.02291161,0.00006561006,0.000015381254,0.000037543832,0.0000393563,0.000025313926,0.0018654597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995646,0.00018519438,0.000011174212,0.00008937302,0.00008708102,0.00006250343],"domain_scores_gemma":[0.9995877,0.00019274133,0.00006310521,0.000055973363,0.000047509417,0.000052903015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006816793,0.0005493255,0.00038373726,0.0002709869,0.0004996081,0.0012763038,0.0010294528,0.0010119713,0.0021134838],"category_scores_gemma":[0.0015805078,0.00022272025,0.00035867744,0.0004475564,0.0007281799,0.0028409439,0.0012768698,0.0007837845,0.00022115455],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006622953,0.00011253006,0.0011569073,0.00006511287,0.00003939395,0.0001951894,0.00007697839,0.91532403,0.003245874,0.03450311,0.0012307488,0.043983936],"study_design_scores_gemma":[0.000019187699,0.00007994105,0.0004608677,0.0000096526355,0.000014425574,0.00008997713,0.0001312232,0.9521662,0.001160193,0.041854244,0.0039971997,0.000016877962],"about_ca_topic_score_codex":0.0035124845,"about_ca_topic_score_gemma":0.0044783074,"teacher_disagreement_score":0.0035124845,"about_ca_system_score_codex":0.0006059374,"about_ca_system_score_gemma":0.0010017166,"threshold_uncertainty_score":0.007070303},"labels":[],"label_agreement":null},{"id":"W4414648198","doi":"10.1109/eeeic/icpseurope64998.2025.11169010","title":"Monte Carlo Simulation for Electric Vehicle Charging: The Case Study of Milan - Italy","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Natural Resources Canada","funders":"","keywords":"Electric vehicle; Monte Carlo method; European union; Occupancy; Battery (electricity); Battery capacity; Reduction (mathematics); Battery electric vehicle","score_opus":0.008650144820195844,"score_gpt":0.24292976934936128,"score_spread":0.23427962452916543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414648198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93193907,0.00045963732,0.03335868,0.0008602737,0.000057551813,0.00016551536,0.0015705441,0.0005817776,0.031007003],"genre_scores_gemma":[0.9886423,0.0001519966,0.007459827,0.000032931217,0.0000090053245,0.000075326054,0.00050819374,0.000033714216,0.0030868312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960643,0.00020488593,0.000016856648,0.000045204957,0.000052894167,0.00007374768],"domain_scores_gemma":[0.99829966,0.0012885149,0.00010045932,0.0000797879,0.00014791256,0.000083649225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083118316,0.0006197388,0.00057884766,0.00078972743,0.00055169326,0.0010179039,0.0008313186,0.001009726,0.0027853956],"category_scores_gemma":[0.0029199743,0.00032041466,0.00070315244,0.0013678324,0.00046776456,0.00041849934,0.00052755506,0.0006379131,0.00024970324],"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":[0.000057294386,0.00004428769,0.0033582335,0.000023442077,0.000016646718,0.00025007746,0.000051786395,0.99128014,0.0001268113,0.001840927,0.0006568744,0.0022934526],"study_design_scores_gemma":[0.000021088461,0.000025267738,0.0018085476,0.000007803952,0.000011799865,0.000046003355,0.00007013363,0.9962166,0.00019661624,0.00073438743,0.0008501776,0.000011502155],"about_ca_topic_score_codex":0.0622232,"about_ca_topic_score_gemma":0.046674848,"teacher_disagreement_score":0.0622232,"about_ca_system_score_codex":0.0020049252,"about_ca_system_score_gemma":0.0012414207,"threshold_uncertainty_score":0.12372202},"labels":[],"label_agreement":null},{"id":"W4414729333","doi":"10.1007/978-3-031-95111-4_6","title":"Electric Vehicle User’s Decision on When to Charge—From a Canadian Revealed Preference Study","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; Western University","funders":"","keywords":"Akaike information criterion; Electric vehicle; Probit; Preference; Mixed logit; Probit model; Logit; Collinearity; Bayesian information criterion; Sample (material)","score_opus":0.008158019823999994,"score_gpt":0.19240976629125964,"score_spread":0.18425174646725964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414729333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936587,0.00033164906,0.0000988037,0.00035969916,0.00000782691,0.000028778948,0.00073110254,0.0000029254113,0.004780488],"genre_scores_gemma":[0.9950098,0.00030521047,0.0002000003,0.00016033383,0.000003944665,0.000011353416,0.0006662863,0.0000062997165,0.0036368165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989241,0.00022395446,0.000060032307,0.00011414064,0.0003940495,0.00028371793],"domain_scores_gemma":[0.9906764,0.0039756224,0.0009464541,0.0003589701,0.0029470895,0.0010954471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027954306,0.00023603835,0.0004259524,0.0008692979,0.0035969028,0.0023134712,0.0011385699,0.0007717994,0.004844439],"category_scores_gemma":[0.008994886,0.00028542022,0.00062088814,0.0029845496,0.0011591596,0.0013774971,0.0006153478,0.0015950963,0.0005060498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003047946,0.0019971454,0.8997554,0.00022829934,0.00030735097,0.0007507828,0.031000035,0.0017682974,0.0011006263,0.0044659358,0.015335458,0.040242556],"study_design_scores_gemma":[0.00011047318,0.00033972884,0.93526274,0.00012742552,0.00019661452,0.00014760827,0.0480104,0.0036630298,0.00039284618,0.000479221,0.011058634,0.00021129659],"about_ca_topic_score_codex":0.9848529,"about_ca_topic_score_gemma":0.9933575,"teacher_disagreement_score":0.0171283,"about_ca_system_score_codex":0.0171283,"about_ca_system_score_gemma":0.01788286,"threshold_uncertainty_score":0.12427515},"labels":[],"label_agreement":null},{"id":"W4414731504","doi":"10.1007/978-3-031-95111-4_4","title":"Charge-Travel Behavior High-Dimensional Clustering for Electric and Hybrid Vehicles in Warm and Cold Months by Data-Driven Approach","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Western University","funders":"","keywords":"Cluster analysis; Measure (data warehouse); Hierarchical clustering; Electric vehicle; Greenhouse gas; DBSCAN; Hybrid vehicle","score_opus":0.007480894609795586,"score_gpt":0.1943369366301449,"score_spread":0.1868560420203493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414731504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11090643,0.00079666916,0.8827391,0.0004942279,0.00012681799,0.000093761366,0.001292128,0.0012411623,0.0023097026],"genre_scores_gemma":[0.8515349,0.00039399805,0.13485913,0.0001143372,0.0001416853,0.00015492649,0.0036673527,0.00040124098,0.008732369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974805,0.000054120414,0.000011810949,0.000085675165,0.000048931128,0.000051358027],"domain_scores_gemma":[0.9990872,0.00047053516,0.00007151697,0.00009185527,0.00021505167,0.00006389567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007735485,0.000730675,0.0009052714,0.0011250173,0.00066899625,0.0011355046,0.0020732956,0.0011248693,0.0020024565],"category_scores_gemma":[0.0022608365,0.00070297654,0.0016436137,0.0012048457,0.00058078906,0.0009238238,0.0008350732,0.0009543333,0.0006175943],"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":[0.000073757066,0.000073338546,0.0022500986,0.000062866435,0.00006489273,0.00004394921,0.00005764648,0.96150136,0.00081913074,0.0047462997,0.0025484036,0.027758302],"study_design_scores_gemma":[8.2772874e-7,0.0000023405314,0.00022423292,0.000001321998,0.0000019899744,0.0000033432882,0.000007925969,0.99835074,0.00006885056,0.0012421967,0.0000934364,0.0000028693148],"about_ca_topic_score_codex":0.030609567,"about_ca_topic_score_gemma":0.025873946,"teacher_disagreement_score":0.030609567,"about_ca_system_score_codex":0.0016001908,"about_ca_system_score_gemma":0.001034245,"threshold_uncertainty_score":0.06086284},"labels":[],"label_agreement":null},{"id":"W4414921612","doi":"10.1016/j.trd.2026.105345","title":"From Coast to Coast: Understanding Electric Vehicle Adoption Across Canadian Regions","year":2025,"lang":"en","type":"preprint","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Infrastructure Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Exploit; Psychological intervention; Baseline (sea); Geocoding; Battery electric vehicle; Electric vehicle; Public policy","score_opus":0.044358111228050924,"score_gpt":0.27964362374161406,"score_spread":0.23528551251356314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414921612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753059,0.0015941478,0.0014453095,0.0013384989,0.000015411426,0.000037359467,0.008155165,0.000025367845,0.012082781],"genre_scores_gemma":[0.99415827,0.0009492672,0.00071361335,0.00007755036,0.000002242178,0.000014058616,0.0029151933,0.000016049671,0.0011537413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937856,0.00006837655,0.00002934795,0.00014164868,0.00016398192,0.00021819065],"domain_scores_gemma":[0.9976241,0.0005004458,0.0003027485,0.0001314615,0.0012339547,0.00020723674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329573,0.00032056955,0.00035716043,0.0017023602,0.0017026544,0.0024648434,0.0010880708,0.00036505194,0.0027801793],"category_scores_gemma":[0.00626763,0.00022990926,0.0008821431,0.005123688,0.00090032833,0.001283501,0.0014646916,0.0007308578,0.00024104358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009298039,0.000034796958,0.9400056,0.00012816947,0.00014684994,0.00016807664,0.008064587,0.008730809,0.00035653223,0.0061402796,0.0050821225,0.031049274],"study_design_scores_gemma":[0.000008097641,0.0000216403,0.9473159,0.00026186573,0.00011563885,0.000060115548,0.018896826,0.016708372,0.00032088713,0.0013596712,0.014867119,0.00006389254],"about_ca_topic_score_codex":0.9964222,"about_ca_topic_score_gemma":0.99688894,"teacher_disagreement_score":0.02279537,"about_ca_system_score_codex":0.02279537,"about_ca_system_score_gemma":0.029822852,"threshold_uncertainty_score":0.16539276},"labels":[],"label_agreement":null},{"id":"W4414955876","doi":"10.1109/tste.2025.3619196","title":"Coordination of Power and Transportation Networks With Integrated Electricity-Hydrogen Stations: A Reinforcement Learning Approach Considering Delayed Reward","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Reinforcement learning; Markov decision process; Dynamic pricing; Markov process; Revenue; Q-learning; Traffic congestion; Process (computing); Vehicle dynamics","score_opus":0.0025627650295312054,"score_gpt":0.17813403998431046,"score_spread":0.17557127495477926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414955876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064342394,0.00026275264,0.9284044,0.00046037688,0.00007121364,0.000056554465,0.000044023916,0.0002008061,0.0061575393],"genre_scores_gemma":[0.9776332,0.00010336778,0.01948798,0.00006650513,0.000027485401,0.000053894695,0.000027486476,0.000020434612,0.0025796469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964404,0.00011492626,0.000011817584,0.00009153864,0.000056025223,0.000081710416],"domain_scores_gemma":[0.9990689,0.00049178465,0.00016737013,0.000039381117,0.00013669515,0.000095917814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008698044,0.00075503753,0.0009185396,0.00032242114,0.0003711605,0.000900466,0.0012334818,0.0009770069,0.002140188],"category_scores_gemma":[0.0020909312,0.00047626634,0.0004904914,0.00028796878,0.00096607656,0.0008830555,0.0009837389,0.0011503394,0.00017587365],"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":[0.00002017948,0.000013803585,0.0001997462,0.000009922912,0.000010118798,0.000038403716,0.000011093767,0.9931004,0.00023839257,0.0031774356,0.00013306663,0.0030473608],"study_design_scores_gemma":[0.0000026428822,0.0000061595415,0.000018578967,7.663813e-7,0.0000018341382,0.0000019402607,0.0000018155482,0.99923635,0.000031871936,0.0006467592,0.000050247047,9.696952e-7],"about_ca_topic_score_codex":0.010759284,"about_ca_topic_score_gemma":0.007863009,"teacher_disagreement_score":0.010759284,"about_ca_system_score_codex":0.0013116003,"about_ca_system_score_gemma":0.0012880623,"threshold_uncertainty_score":0.021393359},"labels":[],"label_agreement":null},{"id":"W4415000684","doi":"10.1177/03611981251368317","title":"Factors Influencing Electric Vehicle Adoption: Coupling Machine Learning Models and Open-Source Data","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Feature selection; Key (lock); Electric vehicle; Feature (linguistics); Population; Greenhouse gas; Land use; Census; Selection (genetic algorithm)","score_opus":0.09380099394242578,"score_gpt":0.3466152290685274,"score_spread":0.25281423512610157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415000684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628294,0.00054811174,0.030593317,0.0017199927,0.000078845966,0.00006421696,0.0013226126,0.00028424652,0.0025591766],"genre_scores_gemma":[0.9886419,0.00019507251,0.009129422,0.00009188073,0.000040180166,0.00002497314,0.0015152646,0.00002773628,0.0003335659],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979748,0.0013261875,0.00008313822,0.000301466,0.00015892703,0.00015545129],"domain_scores_gemma":[0.98589754,0.011378271,0.0008675429,0.0007140567,0.00088486465,0.0002576117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052992324,0.0006561305,0.0004940863,0.0015086936,0.0002933899,0.0020819134,0.000684039,0.0006097962,0.0012297186],"category_scores_gemma":[0.022998415,0.0003202659,0.00083612296,0.0021360076,0.000326683,0.0017056884,0.0013292232,0.0013389171,0.00044174722],"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":[0.00014812389,0.00049615337,0.7013065,0.000098360324,0.00044372652,0.00014627147,0.00027882942,0.21718562,0.00023842472,0.0027061633,0.0030560796,0.073895715],"study_design_scores_gemma":[0.000011630336,0.000053658205,0.066088386,0.00006163036,0.000079998776,0.00002739391,0.00034887536,0.9276686,0.00027096007,0.0039509144,0.0014140122,0.000023928304],"about_ca_topic_score_codex":0.03580416,"about_ca_topic_score_gemma":0.029591994,"teacher_disagreement_score":0.03580416,"about_ca_system_score_codex":0.00089505763,"about_ca_system_score_gemma":0.0013530414,"threshold_uncertainty_score":0.07119149},"labels":[],"label_agreement":null},{"id":"W4415003064","doi":"10.1109/ojvt.2025.3620014","title":"Real-Time Energy Management Based on Proximal Policy Optimization With Mask Layer for Hybrid Electric Mining Trucks","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Waterloo","funders":"Chongqing University; National Natural Science Foundation of China","keywords":"Energy management; Dynamic programming; Minification; Truck; Energy (signal processing); Generalization; Function (biology); Energy consumption; State of charge","score_opus":0.003689712714333201,"score_gpt":0.2182257528683139,"score_spread":0.2145360401539807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415003064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06900938,0.00023034264,0.926586,0.00015362343,0.000042320436,0.000041434618,0.000020620537,0.00047939637,0.003436948],"genre_scores_gemma":[0.96000916,0.000084738436,0.038048964,0.00004322851,0.000011510766,0.000052485888,0.000026757416,0.000019541672,0.0017034931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982315,0.000030474359,0.000010725076,0.000042618973,0.00005496858,0.000038103884],"domain_scores_gemma":[0.99979943,0.00008061933,0.000036125686,0.000015381349,0.000050084705,0.000018396233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039551785,0.000526064,0.00060193945,0.0002485439,0.00030872016,0.00063152716,0.0007247947,0.00052567676,0.00093376037],"category_scores_gemma":[0.0007282298,0.00026806004,0.00029206453,0.00026129294,0.00042016667,0.0005981093,0.0007386682,0.0005615269,0.00015034332],"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":[0.00008998763,0.000047368892,0.00059775787,0.000042255666,0.000018622208,0.000049830764,0.00004361713,0.9458709,0.0037789752,0.0029746827,0.00043646822,0.04604956],"study_design_scores_gemma":[0.000004683313,0.000021097461,0.000057545196,0.0000012812919,0.0000026352404,0.0000056306567,0.0000034342593,0.99884546,0.0004987301,0.0004022202,0.0001551313,0.0000021853932],"about_ca_topic_score_codex":0.0035430656,"about_ca_topic_score_gemma":0.0023375722,"teacher_disagreement_score":0.0035430656,"about_ca_system_score_codex":0.00041773845,"about_ca_system_score_gemma":0.0009336959,"threshold_uncertainty_score":0.0070449114},"labels":[],"label_agreement":null},{"id":"W4415168572","doi":"10.1049/icp.2025.1684","title":"Integrated modeling and forecasting of EVs charging profiles based on real data","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Population; Context (archaeology); Load profile; Service (business); Energy (signal processing); Electric vehicle","score_opus":0.035377731602802914,"score_gpt":0.2393182412145503,"score_spread":0.2039405096117474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415168572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87334085,0.0003353951,0.11629966,0.0004771099,0.00010016033,0.000102062004,0.0032351287,0.0009811005,0.0051285755],"genre_scores_gemma":[0.99212,0.00010322269,0.0060739364,0.000014440014,0.000008388277,0.000022916804,0.00085801305,0.000014290129,0.0007848722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.000036310514,0.000014162479,0.00005255384,0.00004859106,0.000036445366],"domain_scores_gemma":[0.9994392,0.00022855797,0.00006228853,0.00005542878,0.00018328283,0.00003130875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007433801,0.0006146389,0.00045608912,0.0006833594,0.00028702014,0.0008909128,0.0009011307,0.0006416298,0.0006449014],"category_scores_gemma":[0.0018536511,0.0003078631,0.00036489416,0.0007838857,0.0002710895,0.0007286369,0.00031063095,0.00075350935,0.00019841733],"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":[0.000028268207,0.000016389104,0.0028134272,0.000008871258,0.000013899915,0.00002805756,0.00001037523,0.99282783,0.00025736005,0.00022434695,0.00020139945,0.0035697632],"study_design_scores_gemma":[9.900311e-7,0.0000036142658,0.00079729536,7.840811e-7,0.000001680594,0.0000024043893,0.0000039700094,0.9990094,0.000058112357,0.00007236849,0.000047637408,0.0000017530147],"about_ca_topic_score_codex":0.17680186,"about_ca_topic_score_gemma":0.14267473,"teacher_disagreement_score":0.17680186,"about_ca_system_score_codex":0.0017510685,"about_ca_system_score_gemma":0.0010783287,"threshold_uncertainty_score":0.3515455},"labels":[],"label_agreement":null},{"id":"W4415168646","doi":"10.1049/icp.2025.1616","title":"Improving LV networks hosting capacity via the use of PV and BESS inverter controls – a Monte-Carlo analysis","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Overvoltage; Prosumer; Control (management); Photovoltaic system; Inverter; Grid; Consumption (sociology); Power (physics)","score_opus":0.014253046887010816,"score_gpt":0.18989775128892,"score_spread":0.17564470440190919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415168646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.782945,0.0017788677,0.1737305,0.0005542427,0.00006297081,0.00021131185,0.00075462816,0.00040437852,0.039558068],"genre_scores_gemma":[0.98922974,0.0003016656,0.008517118,0.000033519995,0.000011618211,0.000058986167,0.00010776024,0.00002865775,0.001710898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996675,0.00015046838,0.000008793738,0.000029778295,0.00007680593,0.00006659506],"domain_scores_gemma":[0.99776936,0.0016912785,0.00015335596,0.00008154085,0.0002531271,0.00005140417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011562967,0.00047385745,0.0006417879,0.00064868724,0.00033219706,0.0009323228,0.00072249275,0.000900826,0.0029445956],"category_scores_gemma":[0.0027652278,0.00034267973,0.0006989271,0.0005387725,0.000418154,0.0005696217,0.00035820898,0.0005812365,0.00021016484],"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":[0.000015502965,0.000008701129,0.0002780141,0.0000131728275,0.000005942619,0.000013941462,0.000004936782,0.99790883,0.0001400486,0.0006617573,0.000059221755,0.0008900075],"study_design_scores_gemma":[0.000006254099,0.000038051523,0.00025133992,0.0000102277745,0.000014734456,0.000009608298,0.000008733449,0.99885595,0.00022155257,0.00038923608,0.0001900779,0.000004292239],"about_ca_topic_score_codex":0.012869756,"about_ca_topic_score_gemma":0.007905728,"teacher_disagreement_score":0.012869756,"about_ca_system_score_codex":0.00132628,"about_ca_system_score_gemma":0.0007001584,"threshold_uncertainty_score":0.025589645},"labels":[],"label_agreement":null},{"id":"W4415226980","doi":"10.1016/j.trd.2025.105037","title":"Material efficiency for transport decarbonization: a case study of carsharing in montreal","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Circus School; Polytechnique Montréal","funders":"","keywords":"Carbon footprint; Greenhouse gas; Climate change; Baseline (sea); Life-cycle assessment; Travel behavior; Global warming; Climate policy","score_opus":0.01621636409269571,"score_gpt":0.26489888160421354,"score_spread":0.24868251751151782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415226980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853902,0.00017218711,0.001182701,0.00053139124,0.000011171847,0.00019993207,0.00065453444,0.000053485794,0.011804478],"genre_scores_gemma":[0.99180096,0.0002229414,0.0013456786,0.00006509389,0.0000051189036,0.0000408163,0.0003101783,0.000018086388,0.0061912634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999514,0.00010003014,0.000008321243,0.000052375148,0.00009341653,0.00023190153],"domain_scores_gemma":[0.99944454,0.00012867188,0.000048109418,0.000033220724,0.00017400688,0.00017151596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005356511,0.0007189812,0.00025506018,0.00069884054,0.0027218862,0.0015368316,0.0013295639,0.00083855016,0.003624667],"category_scores_gemma":[0.0012509384,0.00020751673,0.00055929605,0.0020604148,0.0009869175,0.00069750944,0.0007442208,0.00077985565,0.00017722644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010581762,0.0032572944,0.38444808,0.0007927638,0.000628646,0.031027526,0.009572973,0.34786654,0.02828102,0.04435837,0.022623662,0.12608498],"study_design_scores_gemma":[0.00045519302,0.0018138967,0.58699685,0.00017652636,0.0004109625,0.0012176579,0.04632069,0.27296332,0.010710154,0.004740606,0.073748834,0.00044534492],"about_ca_topic_score_codex":0.9622178,"about_ca_topic_score_gemma":0.9834288,"teacher_disagreement_score":0.037782192,"about_ca_system_score_codex":0.035600517,"about_ca_system_score_gemma":0.010915159,"threshold_uncertainty_score":0.25830102},"labels":[],"label_agreement":null},{"id":"W4415274146","doi":"10.48550/arxiv.2510.12961","title":"Competitive EV charging station location with queues","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institut de Valorisation des Données; Mitacs; Hydro-Québec","keywords":"Queueing theory; Competition (biology); Queue; Service (business); Heuristic; Charging station; Server; Service provider","score_opus":0.009557322312353383,"score_gpt":0.21774948312640946,"score_spread":0.2081921608140561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415274146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48662144,0.00022618186,0.49131078,0.00092775514,0.000060893617,0.0001188621,0.00041086224,0.0002866535,0.020036545],"genre_scores_gemma":[0.9865834,0.00006256123,0.009825195,0.000041278032,0.000012376313,0.00002648514,0.000058281956,0.000019809004,0.0033705544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998944,0.00034465382,0.000025861837,0.00017501957,0.0001407018,0.00036975465],"domain_scores_gemma":[0.9979761,0.0011356106,0.00030889048,0.00009375527,0.00030993475,0.00017580707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143778,0.000751927,0.0007070033,0.0005834222,0.0007588808,0.0021175263,0.0017937722,0.0014203185,0.003300003],"category_scores_gemma":[0.004677576,0.0006916453,0.0009118632,0.000845813,0.0014414149,0.0016517964,0.0013804927,0.001103406,0.00021233637],"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":[0.00003785808,0.000027863623,0.0007726109,0.000010416385,0.000007753619,0.000050856434,0.000037657082,0.983201,0.00023201304,0.014280871,0.00019065898,0.0011503776],"study_design_scores_gemma":[0.0000056126905,0.000010027559,0.000102421654,0.0000012519403,0.000003705533,0.000004952256,0.000023093438,0.9975031,0.00006222926,0.0021787893,0.00010156773,0.0000032089947],"about_ca_topic_score_codex":0.08015411,"about_ca_topic_score_gemma":0.05230776,"teacher_disagreement_score":0.08015411,"about_ca_system_score_codex":0.005166915,"about_ca_system_score_gemma":0.003114132,"threshold_uncertainty_score":0.15937513},"labels":[],"label_agreement":null},{"id":"W4415368016","doi":"10.1109/sege65970.2025.11203412","title":"Modeling Grid-Connected EV Fleets, Heat Pumps, and Solar PV in Residential Communities","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy","keywords":"Renewable energy; Photovoltaic system; Photovoltaics; Solar energy; Electricity generation; Zero-energy building; Energy consumption; Grid; Distributed generation","score_opus":0.0070518468652166315,"score_gpt":0.21143934985509683,"score_spread":0.2043875029898802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415368016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681853,0.0001563656,0.015026108,0.00029667036,0.000026005666,0.00007796839,0.0015440615,0.00010930913,0.014578235],"genre_scores_gemma":[0.99185854,0.0000998939,0.0038005267,0.000028032626,0.000005825506,0.000051382885,0.000444007,0.00003193559,0.0036798436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.00006701399,0.000006720699,0.000040072595,0.000030791307,0.00007007057],"domain_scores_gemma":[0.9996388,0.0001429681,0.000034403074,0.000022340717,0.00008602922,0.00007544028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033043328,0.00054861075,0.00040232931,0.0005110664,0.00081717555,0.0011307051,0.0012563303,0.0013274653,0.0029088696],"category_scores_gemma":[0.0010403938,0.00050086813,0.0008552232,0.0009383274,0.00064978056,0.00084882166,0.00090870226,0.0005348978,0.0003128221],"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":[0.000016692498,0.000017136606,0.002266783,0.000005906634,0.0000070842984,0.00007835074,0.00002287265,0.99618894,0.00012336134,0.00064264575,0.00016865564,0.00046145436],"study_design_scores_gemma":[0.000009758138,0.000010475874,0.00096481736,0.00000389748,0.0000043916393,0.000013159631,0.00010306987,0.99816006,0.00006436036,0.00035201534,0.00030929822,0.0000046653176],"about_ca_topic_score_codex":0.34763062,"about_ca_topic_score_gemma":0.28767875,"teacher_disagreement_score":0.34763062,"about_ca_system_score_codex":0.0030523934,"about_ca_system_score_gemma":0.0021001517,"threshold_uncertainty_score":0.6912144},"labels":[],"label_agreement":null},{"id":"W4415439528","doi":"10.2139/ssrn.5643300","title":"An Agent-Based Exploration of Spatiotemporal Electric Vehicle Charging Behavior Under Pricing Strategies","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Electricity; Public transport; Electricity pricing; Queueing theory; Dynamic pricing; Electric vehicle; Charging station; Evening; Investment (military)","score_opus":0.014115519621637198,"score_gpt":0.2589815452849248,"score_spread":0.24486602566328758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415439528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75571936,0.00033238932,0.23589043,0.00095735653,0.000057885893,0.00006372831,0.00024256046,0.0002549418,0.0064812656],"genre_scores_gemma":[0.9896271,0.000059348487,0.009548769,0.000026558288,0.000012144458,0.000016241476,0.00005795389,0.0000120720115,0.00063973345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998462,0.00007220526,0.000006477998,0.00002869649,0.000021361631,0.000025031097],"domain_scores_gemma":[0.9982407,0.0013059734,0.00013229458,0.00006540331,0.00010265234,0.00015292382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069584127,0.00033287297,0.0007308334,0.0004812337,0.00038375083,0.0013620076,0.0009025133,0.0011685375,0.001709591],"category_scores_gemma":[0.004817807,0.0005195138,0.0004248915,0.00056090055,0.0006603946,0.0016322053,0.001133359,0.00071466627,0.00009829042],"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":[0.00016677304,0.000059131395,0.0035138743,0.00002783697,0.000039580464,0.000118178286,0.000079333804,0.9828583,0.0007264011,0.00732596,0.00033878285,0.0047458773],"study_design_scores_gemma":[0.0000054275715,0.000007236586,0.00013596145,0.0000013945021,0.0000017483653,0.0000043182918,0.000008722456,0.99836296,0.000037444963,0.001399671,0.000033741322,0.0000013630302],"about_ca_topic_score_codex":0.008963003,"about_ca_topic_score_gemma":0.005053334,"teacher_disagreement_score":0.008963003,"about_ca_system_score_codex":0.0005316908,"about_ca_system_score_gemma":0.00096367265,"threshold_uncertainty_score":0.01782161},"labels":[],"label_agreement":null},{"id":"W4415586596","doi":"10.21083/crrf.v29i1.7705","title":"Accelerate Kootenays: Canada’s First Rural EV Network","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Scope (computer science); Terrain; Government (linguistics); Greenhouse gas; Electric vehicle; Rural area; Interoperability","score_opus":0.0048636700065392315,"score_gpt":0.18758520085508748,"score_spread":0.18272153084854825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415586596","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05275779,0.0024872671,0.005060974,0.030444825,0.0017528598,0.0005095004,0.008878916,0.0018603108,0.8962476],"genre_scores_gemma":[0.08828197,0.001709714,0.004587285,0.0030272242,0.000049510818,0.0000922095,0.003919059,0.0004232844,0.89790976],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905974,0.00003885905,0.000005887892,0.0000621837,0.00040390514,0.00042952728],"domain_scores_gemma":[0.9982461,0.00003904042,0.000016289297,0.00004619111,0.0006843673,0.0009680606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061608665,0.0004227204,0.000162677,0.0005523254,0.006508246,0.0031906837,0.0009696148,0.0010689313,0.042469047],"category_scores_gemma":[0.0008997194,0.00029134116,0.00027032886,0.0006969287,0.0012056367,0.0008298865,0.0021788639,0.0014763648,0.005928585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011921882,0.00014153766,0.007160878,0.00011587351,0.000012104804,0.00048189095,0.0009788538,0.00055897154,0.00206231,0.015508638,0.88995886,0.08290082],"study_design_scores_gemma":[0.000013793824,0.000027618356,0.0076450645,0.000046055382,0.00000439387,0.000061699764,0.0013113641,0.00039640194,0.00034867506,0.00048724102,0.9896422,0.000015437467],"about_ca_topic_score_codex":0.9612397,"about_ca_topic_score_gemma":0.99079424,"teacher_disagreement_score":0.042469047,"about_ca_system_score_codex":0.02050649,"about_ca_system_score_gemma":0.08149459,"threshold_uncertainty_score":0.14878565},"labels":[],"label_agreement":null},{"id":"W4415744248","doi":"10.1109/ihtc65087.2025.11216304","title":"Evaluation of Distributed Solar PV and EV Hosting Capacities of Standard Distribution Networks for off-Grid Remote Communities in Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Photovoltaic system; Distributed generation; Electric vehicle; Solar energy; Voltage; Electricity; Distribution transformer; Limiting; Transformer","score_opus":0.010607511889200427,"score_gpt":0.2227714399829864,"score_spread":0.21216392809378598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415744248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608094,0.00005039118,0.001055824,0.00005082294,0.000002537991,0.000031001673,0.00042348955,0.00006392096,0.00224109],"genre_scores_gemma":[0.9988656,0.000029332636,0.00045603848,0.000004935002,5.7590387e-7,0.0000045551337,0.0003145773,0.000006503669,0.00031784104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994998,0.000073602394,0.000012039232,0.000074046504,0.00015076486,0.00018976217],"domain_scores_gemma":[0.9985669,0.00035806696,0.00011898805,0.000082723316,0.0006484955,0.00022474267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328322,0.0005985895,0.00036973198,0.000656491,0.0010659898,0.0011684985,0.0012352078,0.00034250447,0.001021695],"category_scores_gemma":[0.0027417934,0.00026115222,0.00033361829,0.000933168,0.0008008212,0.0007198214,0.00058528746,0.00040167302,0.00007512783],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046982532,0.00013443157,0.0759313,0.00006072304,0.000057203746,0.00033524807,0.00018102533,0.90542513,0.0021278867,0.0020594231,0.0010786372,0.01213919],"study_design_scores_gemma":[0.00006442889,0.00018556662,0.07620312,0.000022909295,0.000052078765,0.00009504752,0.0012960242,0.91614914,0.0037300233,0.0006652168,0.0014937718,0.000042695385],"about_ca_topic_score_codex":0.9218214,"about_ca_topic_score_gemma":0.9406662,"teacher_disagreement_score":0.078178585,"about_ca_system_score_codex":0.017608909,"about_ca_system_score_gemma":0.0073486087,"threshold_uncertainty_score":0.15727794},"labels":[],"label_agreement":null},{"id":"W4415744280","doi":"10.1109/ihtc65087.2025.11216323","title":"A Geospatial Analysis of Public Charging Infrastructure and Electric Vehicle Accessibility in Indigenous Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrification; Indigenous; Geospatial analysis; Electric vehicle; Agency (philosophy); Destinations; Closing (real estate)","score_opus":0.0035999057913292483,"score_gpt":0.20637154271066585,"score_spread":0.2027716369193366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415744280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99045134,0.00026591297,0.00025644034,0.0003266194,0.0000064842575,0.000042097145,0.0018245769,0.000011786686,0.0068147155],"genre_scores_gemma":[0.99738115,0.00024991145,0.0003603234,0.000028657807,0.0000019844085,0.000016941793,0.00067758706,0.0000059059257,0.0012775611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992767,0.000075909666,0.000029810459,0.000083269864,0.00021598312,0.00031837905],"domain_scores_gemma":[0.99824154,0.00026632872,0.00018777492,0.00007329329,0.00092205073,0.0003090301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056268444,0.00024646914,0.00033376558,0.0027332897,0.004165918,0.0026845362,0.00087715435,0.0002759913,0.0032280183],"category_scores_gemma":[0.003088275,0.00016487982,0.00054706563,0.007624507,0.0012573992,0.00053650467,0.0023278166,0.0005579008,0.00020707241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000945624,0.0000960881,0.9362015,0.00014678553,0.00009422051,0.00053329684,0.028041137,0.0010330414,0.0005544977,0.004408802,0.0029944133,0.025801586],"study_design_scores_gemma":[0.0000032504843,0.000018817753,0.9162095,0.00011642559,0.000045568613,0.000112986985,0.07526876,0.0016500775,0.00011173893,0.0003215823,0.0061101774,0.000031166925],"about_ca_topic_score_codex":0.99636084,"about_ca_topic_score_gemma":0.9978085,"teacher_disagreement_score":0.022655105,"about_ca_system_score_codex":0.022655105,"about_ca_system_score_gemma":0.042366978,"threshold_uncertainty_score":0.16437507},"labels":[],"label_agreement":null},{"id":"W4415745898","doi":"10.1109/hpcc67675.2025.00168","title":"A Predictable and Real-Time Electric Vehicle Charging Framework with a Dynamic Protection System","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Scheduling (production processes); Scalability; Safeguard; Grid; Smart grid; Model predictive control; Fault detection and isolation; Electric vehicle","score_opus":0.001829626131908263,"score_gpt":0.17448583583151936,"score_spread":0.1726562096996111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415745898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02920524,0.00033083546,0.95294714,0.00034267883,0.0001495372,0.00015020324,0.00012104881,0.009843268,0.0069100605],"genre_scores_gemma":[0.8239103,0.00029392063,0.16842201,0.00020413454,0.000087940796,0.00014520822,0.00027424018,0.0002338649,0.0064284555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995617,0.00005654847,0.000025374935,0.000101812,0.00018103898,0.000073510986],"domain_scores_gemma":[0.9997187,0.000042488155,0.00003185246,0.00007431318,0.00008432406,0.000048282734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046053037,0.00045621957,0.0004247554,0.00041007416,0.0004871113,0.001218575,0.0019985132,0.00054450566,0.0024178077],"category_scores_gemma":[0.0007646464,0.00027625007,0.00038961167,0.00031419224,0.0004981333,0.0011492124,0.0012157272,0.0010126545,0.0008082469],"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":[0.0007630037,0.00053427875,0.0042289384,0.0002573942,0.00015291366,0.00090801105,0.00037690534,0.5499808,0.054734245,0.07005578,0.018259512,0.29974815],"study_design_scores_gemma":[0.000046897592,0.0001398506,0.00044796517,0.000013139346,0.000030285371,0.00021723354,0.0000319051,0.9639443,0.01070224,0.008170124,0.016218053,0.000037983536],"about_ca_topic_score_codex":0.0045453436,"about_ca_topic_score_gemma":0.0040556416,"teacher_disagreement_score":0.0045453436,"about_ca_system_score_codex":0.00068897795,"about_ca_system_score_gemma":0.0013750887,"threshold_uncertainty_score":0.009037733},"labels":[],"label_agreement":null},{"id":"W4415749544","doi":"10.2316/j.2025.203-0604","title":"OPTIMISATION OF DISTRIBUTED POWER GENERATION OUTPUT FOR NEW ENERGY POWER SYSTEMS CONSIDERING LOAD FLUCTUATIONS IN ELECTRIC VEHICLE INTEGRATION, 101-110.","year":2025,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Distributed generation; Electric power system; Energy (signal processing); Power (physics); Electricity generation; Electric energy","score_opus":0.007070405417385769,"score_gpt":0.21854407757449887,"score_spread":0.2114736721571131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415749544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41558805,0.0029938472,0.5243921,0.0010190108,0.00024103244,0.00030207544,0.00047840856,0.0007444635,0.05424101],"genre_scores_gemma":[0.98975426,0.00018795456,0.0073113646,0.000013477641,0.000011297025,0.000027294895,0.000056329984,0.0000558759,0.0025821864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998311,0.000061333485,0.000006849227,0.000024962232,0.000048454738,0.000027311653],"domain_scores_gemma":[0.99970764,0.00018844494,0.000023682736,0.000011956849,0.00005392338,0.000014373254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062275527,0.00083282986,0.0006744672,0.00036080924,0.0003492879,0.0011895286,0.0004561489,0.0005828764,0.0033462385],"category_scores_gemma":[0.0011975596,0.00048228714,0.0004223712,0.00042398882,0.00031759084,0.00090576964,0.00047159204,0.00071787,0.0003840674],"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":[0.0001487947,0.00004810351,0.0004345336,0.000085148706,0.000018010916,0.00005410223,0.000018942235,0.9776137,0.0027717755,0.0010884678,0.0004760722,0.01724239],"study_design_scores_gemma":[0.000027927012,0.0001020515,0.00071229535,0.000009147013,0.0000141349965,0.000014904182,0.000023055227,0.99601597,0.001431471,0.0011071614,0.0005375837,0.0000042202264],"about_ca_topic_score_codex":0.0036194336,"about_ca_topic_score_gemma":0.0073729516,"teacher_disagreement_score":0.0036194336,"about_ca_system_score_codex":0.0011630135,"about_ca_system_score_gemma":0.00047124492,"threshold_uncertainty_score":0.011194289},"labels":[],"label_agreement":null},{"id":"W4415749892","doi":"10.1007/978-981-95-0441-1_22","title":"A Review on Optimal Placement of EV Charging Station Methodologies","year":2025,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Battery (electricity); Charging station; Electric vehicle; Trickle charging; Greenhouse gas; Power (physics); Grid; Battery electric vehicle","score_opus":0.015015138216556556,"score_gpt":0.23777350794328803,"score_spread":0.22275836972673146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415749892","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024966,0.5933535,0.3503074,0.0008961501,0.0026354555,0.00010440386,0.00040391958,0.00067146326,0.049131054],"genre_scores_gemma":[0.026255814,0.75379103,0.19142236,0.0007052369,0.0018483648,0.00012413021,0.0011004257,0.00041324762,0.024339447],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953425,0.00010015894,0.00004336355,0.00009335857,0.00018991317,0.000038896495],"domain_scores_gemma":[0.99964964,0.00016354187,0.000024087645,0.000031750937,0.00011939173,0.000011531835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966453,0.0015391851,0.0013154341,0.001384759,0.00029924352,0.0011376598,0.0016855459,0.00089160656,0.010167623],"category_scores_gemma":[0.0011721969,0.00070666417,0.00085194706,0.0051378827,0.00026048205,0.0014170692,0.00058452704,0.0009399662,0.0046672],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045434164,0.00006314108,0.00009360347,0.00418157,0.00006172567,0.00006453722,0.000023313949,0.033607084,0.0016867749,0.013564822,0.033651423,0.91295666],"study_design_scores_gemma":[0.000039861294,0.00026649405,0.000687213,0.0031915717,0.00016522803,0.0008543577,0.00012720966,0.061272975,0.0035140705,0.041570038,0.8882514,0.000059594116],"about_ca_topic_score_codex":0.0014506328,"about_ca_topic_score_gemma":0.0025148725,"teacher_disagreement_score":0.010167623,"about_ca_system_score_codex":0.0006197976,"about_ca_system_score_gemma":0.0009560238,"threshold_uncertainty_score":0.034014106},"labels":[],"label_agreement":null},{"id":"W4415766778","doi":"10.1016/j.tranpol.2025.103877","title":"Who is more likely to buy an EV? A descriptive and integrated choice model analysis in the US Midwest","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","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":"University of Calgary","funders":"","keywords":"Electric vehicle; Preference; Latent variable; Truck; Structural equation modeling; Discrete choice; Latent class model; Greenhouse gas; Descriptive statistics","score_opus":0.008382408667236415,"score_gpt":0.25164761632677946,"score_spread":0.24326520765954304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415766778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952193,0.00014660016,0.0007729899,0.0026473112,0.000009797181,0.000010854073,0.00023647331,0.0000032282974,0.0009534438],"genre_scores_gemma":[0.9983205,0.000137353,0.00028615273,0.00023447613,0.000005821093,0.000013465954,0.000118131145,0.000003143858,0.0008808974],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768746,0.0014208023,0.000068982736,0.00028344293,0.00007813884,0.0004611306],"domain_scores_gemma":[0.9861558,0.010562429,0.0016132946,0.00038310004,0.00029613418,0.0009892692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051662438,0.0002855724,0.0009887886,0.0005214024,0.0012721991,0.0035742144,0.0013548938,0.0018967874,0.0043950607],"category_scores_gemma":[0.014888309,0.00069155236,0.000960217,0.0010816699,0.0011945689,0.00288893,0.001115767,0.0030825916,0.00036589877],"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":[0.0022800714,0.0022547417,0.91200525,0.0000656374,0.00062233245,0.00073527975,0.005137358,0.027442312,0.00039814273,0.028571192,0.0045910543,0.015896682],"study_design_scores_gemma":[0.00051783986,0.0017379889,0.6083045,0.0005029383,0.0009411527,0.00057487853,0.0615661,0.26551282,0.00080135604,0.04922878,0.010104864,0.00020661538],"about_ca_topic_score_codex":0.2553595,"about_ca_topic_score_gemma":0.23261504,"teacher_disagreement_score":0.2553595,"about_ca_system_score_codex":0.0035917163,"about_ca_system_score_gemma":0.0027548138,"threshold_uncertainty_score":0.5077463},"labels":[],"label_agreement":null},{"id":"W4415820332","doi":"10.3390/wevj16110603","title":"EV and Renewable Energy Integration in Residential Buildings: A Global Perspective on Deep Learning, Strategies, and Challenges","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Renewable energy; Smart grid; Reinforcement learning; Cluster analysis; Energy management; Key (lock); Grid; Perspective (graphical); Electric vehicle","score_opus":0.005428434371867661,"score_gpt":0.2230202039024847,"score_spread":0.21759176953061704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415820332","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07483578,0.3090445,0.39346766,0.11586024,0.0010508893,0.0000628341,0.0009075012,0.00071463967,0.104055904],"genre_scores_gemma":[0.7185591,0.20803884,0.055283483,0.003214902,0.001438544,0.000062809355,0.00049339724,0.00011036585,0.012798551],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998155,0.000053125066,0.0000096130625,0.000040756026,0.00005070177,0.000030302936],"domain_scores_gemma":[0.99961096,0.0001579569,0.000030449619,0.00003320554,0.00012522226,0.00004216414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008118006,0.0005511574,0.0005264249,0.00074622664,0.00029203974,0.0019047154,0.0009809765,0.0014225094,0.0021025424],"category_scores_gemma":[0.001052181,0.00024348323,0.00042483845,0.0015522594,0.0013390145,0.003738516,0.0017096554,0.0019693961,0.00040534072],"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":[0.000050538525,0.00010221133,0.005841005,0.0007833975,0.00011085712,0.00015760813,0.00024330293,0.15978794,0.0011092888,0.29470018,0.018943032,0.51817065],"study_design_scores_gemma":[0.000010398424,0.00007481356,0.0049040588,0.00082676235,0.00007796535,0.0002124372,0.0006397419,0.5259291,0.0023488272,0.3377388,0.1271771,0.00006000858],"about_ca_topic_score_codex":0.005644499,"about_ca_topic_score_gemma":0.00579581,"teacher_disagreement_score":0.005644499,"about_ca_system_score_codex":0.0012318922,"about_ca_system_score_gemma":0.0011069166,"threshold_uncertainty_score":0.011223316},"labels":[],"label_agreement":null},{"id":"W4415891769","doi":"10.1016/j.tranpol.2025.103891","title":"Unveiling synergy in China’s new energy vehicle policies: A comprehensive text mining-based quantitative analysis","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ministry of Finance; China Scholarship Council; Ministry of Science and Technology","keywords":"Subsidy; Sustainability; Policy analysis; Policy development; Government (linguistics); Quantitative analysis (chemistry); China; Renewable energy; Key (lock)","score_opus":0.007654221675665723,"score_gpt":0.24899180327918297,"score_spread":0.24133758160351723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415891769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815661,0.00082057377,0.003993829,0.0011577618,0.00002058396,0.00007019699,0.008340676,0.00007039383,0.0039598756],"genre_scores_gemma":[0.99266994,0.00020911898,0.0017724044,0.000058740192,0.000020279982,0.000047495367,0.004676803,0.000008121859,0.00053715106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985569,0.0004254757,0.000152918,0.00023669546,0.00046180235,0.00016618987],"domain_scores_gemma":[0.99263203,0.004893623,0.00092850026,0.00023841289,0.0011097433,0.00019769817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002785871,0.00040187335,0.00045559724,0.00724017,0.0007508941,0.0013075554,0.00044730713,0.00045490332,0.0011430521],"category_scores_gemma":[0.00573073,0.00014351089,0.00054996624,0.008274767,0.00047663605,0.0018574664,0.00070366426,0.0005198308,0.00017116647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031141005,0.0003131881,0.85032713,0.0009990976,0.0006897959,0.0006967515,0.0025369725,0.017150544,0.0045082686,0.013185744,0.009733509,0.09954751],"study_design_scores_gemma":[0.00003725569,0.00018419148,0.850866,0.00025439498,0.0007620645,0.0001208811,0.005892789,0.11185454,0.0037822572,0.009421587,0.016748417,0.00007572031],"about_ca_topic_score_codex":0.026636617,"about_ca_topic_score_gemma":0.036337413,"teacher_disagreement_score":0.026636617,"about_ca_system_score_codex":0.001804018,"about_ca_system_score_gemma":0.004520393,"threshold_uncertainty_score":0.052963197},"labels":[],"label_agreement":null},{"id":"W4415896842","doi":"10.1016/j.trd.2025.105066","title":"What makes a good public EV charging station? A revealed preference study","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Institut de Valorisation des Données; Hydro-Québec","keywords":"Preference; Revealed preference; Public transport","score_opus":0.03899391851210389,"score_gpt":0.27590025702067195,"score_spread":0.23690633850856807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415896842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952395,0.00015952304,0.0012442396,0.000509118,0.0000037848204,0.000021451713,0.00039265538,0.000004352095,0.0024253458],"genre_scores_gemma":[0.9989349,0.00009682737,0.0003119069,0.000040492545,0.0000029143537,0.000005600761,0.0001084443,0.0000024353867,0.0004964379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988545,0.00074979116,0.000052452022,0.00010801467,0.00011299477,0.0001221879],"domain_scores_gemma":[0.98657125,0.010400491,0.0011712073,0.0006526411,0.0007747371,0.00042963974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033505156,0.00015054902,0.0003335779,0.00055657193,0.0005926978,0.0015059048,0.00045172079,0.0005603998,0.004660692],"category_scores_gemma":[0.015600927,0.00018512282,0.0004051524,0.0012448777,0.0005560706,0.0017018262,0.00034290276,0.00073163724,0.00040765316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025025,0.0013557273,0.8463493,0.00042317738,0.00059456826,0.00080202555,0.00967954,0.014013657,0.0024103979,0.027173037,0.008886295,0.08580972],"study_design_scores_gemma":[0.00021917002,0.0013762747,0.7599219,0.00022132591,0.0003684699,0.00083482376,0.04571391,0.15714535,0.0018594398,0.013580314,0.018553983,0.00020497253],"about_ca_topic_score_codex":0.06035485,"about_ca_topic_score_gemma":0.081558555,"teacher_disagreement_score":0.06035485,"about_ca_system_score_codex":0.001613807,"about_ca_system_score_gemma":0.000956195,"threshold_uncertainty_score":0.1200071},"labels":[],"label_agreement":null},{"id":"W4415898015","doi":"10.1016/j.tbs.2025.101169","title":"Spherical fuzzy evidential reasoning for vehicle-to-grid enabled electric vehicle adoption: A data-driven analysis of public perception","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University; University of British Columbia, Okanagan Campus","funders":"Mitacs","keywords":"Respondent; Perception; Skepticism; Key (lock); Psychological intervention; Fuzzy logic; Poison control; Causation","score_opus":0.01846271005537564,"score_gpt":0.2638930256710431,"score_spread":0.24543031561566747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415898015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9110896,0.000095175514,0.085294776,0.00028770164,0.000009621494,0.00016892746,0.00086404424,0.000088738554,0.002101267],"genre_scores_gemma":[0.98346126,0.000027736989,0.015970238,0.000012119403,0.0000022518043,0.00005105799,0.00035483018,0.0000033985705,0.00011717356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980496,0.00090394716,0.00013908868,0.0002796671,0.00047040213,0.00015724747],"domain_scores_gemma":[0.9829118,0.013529338,0.0011985437,0.00056640117,0.0016344782,0.00015940923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062751276,0.00038954613,0.00045966505,0.0018435374,0.000511109,0.0018625833,0.0007338235,0.0005932955,0.0017826936],"category_scores_gemma":[0.020001998,0.00020746053,0.0016226557,0.0016224718,0.00061100244,0.0013736972,0.00089347846,0.000998187,0.00015174814],"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":[0.0010687395,0.0011084897,0.28486878,0.0006775965,0.00052841543,0.0010867615,0.008585987,0.49750283,0.0058608996,0.060368456,0.0020223556,0.13632075],"study_design_scores_gemma":[0.000015721349,0.000105980405,0.027260378,0.00003200491,0.00003998837,0.000059945156,0.0019695149,0.9594515,0.000896838,0.00958162,0.00056004716,0.000026395432],"about_ca_topic_score_codex":0.0239435,"about_ca_topic_score_gemma":0.012762197,"teacher_disagreement_score":0.0239435,"about_ca_system_score_codex":0.0024913182,"about_ca_system_score_gemma":0.0012993353,"threshold_uncertainty_score":0.047608316},"labels":[],"label_agreement":null},{"id":"W4415968885","doi":"10.1109/iecon58223.2025.11221872","title":"Cost-Efficient EV Routing and Charging Using Real-Time Traffic and Dynamic Pricing","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Wilfrid Laurier University","funders":"","keywords":"Routing (electronic design automation); Battery (electricity); Scalability; Work (physics); Dynamic pricing; Computation; Electric vehicle; Intelligent transportation system","score_opus":0.0070126223671573805,"score_gpt":0.23491892397735578,"score_spread":0.2279063016101984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415968885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021475246,0.00023191838,0.9713101,0.0002592621,0.000070216694,0.000051632735,0.000073096155,0.00029287668,0.0062356866],"genre_scores_gemma":[0.90654737,0.00029076368,0.089543976,0.000060211936,0.000040860657,0.000079480975,0.00014491488,0.00009288812,0.003199557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956316,0.00012609852,0.000013714694,0.000081078106,0.00012210319,0.00009385262],"domain_scores_gemma":[0.9996666,0.00014990963,0.000053724263,0.00003513224,0.000064178654,0.000030357165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841741,0.0010395428,0.0009267547,0.0005858207,0.00045819624,0.0013109241,0.0012574974,0.00089963106,0.0018072288],"category_scores_gemma":[0.001506739,0.00050597044,0.0006853983,0.0009210619,0.00049773604,0.0014465331,0.0009332044,0.0007848349,0.00026726845],"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":[0.000016027447,0.00001755573,0.00015044615,0.00002007849,0.000009299437,0.000022487056,0.000008092037,0.9822957,0.00067487493,0.004756093,0.00043990483,0.011589502],"study_design_scores_gemma":[0.0000021401645,0.000008501593,0.000041615916,0.0000012547015,0.0000026433556,0.0000095937485,0.000008411831,0.99699354,0.00014573835,0.0024704984,0.00031371057,0.0000023253767],"about_ca_topic_score_codex":0.0055161915,"about_ca_topic_score_gemma":0.0058367117,"teacher_disagreement_score":0.0055161915,"about_ca_system_score_codex":0.0011248732,"about_ca_system_score_gemma":0.0014414678,"threshold_uncertainty_score":0.010968208},"labels":[],"label_agreement":null},{"id":"W4415973936","doi":"10.1016/j.ecmx.2025.101379","title":"Interrelationships among EV adoption factors: An ISM-MICMAC approach","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management X","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"American University of Sharjah","keywords":"Interdependence; Incentive; Causal loop diagram; Key (lock); Microfoundations; Brainstorming; Battery (electricity)","score_opus":0.006141911952171827,"score_gpt":0.1844670610153958,"score_spread":0.178325149063224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415973936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85807174,0.0012422295,0.09296968,0.001991789,0.000069425885,0.0011698415,0.0027683878,0.00030106053,0.041415814],"genre_scores_gemma":[0.9717662,0.00028614354,0.025506318,0.000079624566,0.000014952738,0.00048966677,0.0007904968,0.000015289912,0.001051366],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975967,0.001145543,0.00019673021,0.0003435374,0.0004410918,0.00027646843],"domain_scores_gemma":[0.9894805,0.007253394,0.001118994,0.00040994593,0.0015559905,0.00018117936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033996014,0.00093013304,0.00058178743,0.010313915,0.0013277789,0.0034842882,0.0007901674,0.000617579,0.0054663005],"category_scores_gemma":[0.011143662,0.00043926493,0.0023035752,0.008800584,0.0014766902,0.0017799786,0.002872001,0.001278668,0.00043682317],"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":[0.00021222176,0.00032742092,0.6894645,0.0026493655,0.0011922145,0.0013683583,0.038902998,0.011954154,0.0034442248,0.06759997,0.0032415353,0.17964302],"study_design_scores_gemma":[0.00004055865,0.00074588356,0.6919351,0.001679676,0.0017009235,0.0010984921,0.13129033,0.10496336,0.0026604065,0.041386787,0.022323191,0.00017531341],"about_ca_topic_score_codex":0.017715966,"about_ca_topic_score_gemma":0.016925653,"teacher_disagreement_score":0.017715966,"about_ca_system_score_codex":0.003169623,"about_ca_system_score_gemma":0.003892875,"threshold_uncertainty_score":0.03522569},"labels":[],"label_agreement":null},{"id":"W4416057477","doi":"10.2139/ssrn.5723410","title":"Electric Vehicle Charging Station Infrastructure Along the Trans Canada Highway with Solar PV Energy","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Photovoltaic system; Electric vehicle; Solar energy; Charging station; Electric energy; Renewable energy","score_opus":0.0021434705414168235,"score_gpt":0.17036765079056607,"score_spread":0.16822418024914923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416057477","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652262,0.000054693446,0.0007096793,0.0004527864,0.000023883567,0.00003396751,0.0026114031,0.000107234286,0.030780017],"genre_scores_gemma":[0.9927268,0.0000390851,0.00040523216,0.000013110809,0.0000026663727,0.000003046487,0.0005388348,0.0000067448,0.006264402],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977237,0.00001863192,0.000004643485,0.000032302738,0.00007485641,0.00009723867],"domain_scores_gemma":[0.9995987,0.00003679282,0.00003556159,0.000014070481,0.00025254377,0.00006246528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008779127,0.00016990789,0.00017367741,0.00061003945,0.0011921603,0.0010555866,0.00041900636,0.00048800017,0.011070479],"category_scores_gemma":[0.0006068387,0.0001958718,0.00022811527,0.0015292795,0.00031488526,0.0005516228,0.00047927874,0.00040858515,0.00057410315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011567965,0.00044988966,0.7178437,0.00021486226,0.00018933268,0.0030606485,0.0013558298,0.12376467,0.015363454,0.014356043,0.03451115,0.087733574],"study_design_scores_gemma":[0.00003590949,0.00017527604,0.90199614,0.00006435157,0.000078775134,0.00026494628,0.0077952337,0.06762956,0.0028186475,0.0015921631,0.017494015,0.00005503116],"about_ca_topic_score_codex":0.7795265,"about_ca_topic_score_gemma":0.9167933,"teacher_disagreement_score":0.22047353,"about_ca_system_score_codex":0.0041388394,"about_ca_system_score_gemma":0.0054358765,"threshold_uncertainty_score":0.44354385},"labels":[],"label_agreement":null},{"id":"W4416078251","doi":"10.1109/pesgm52009.2025.11225740","title":"Coordination of Multi-Agent Orderly Charging Via An Incentive-Compatible Mechanism","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Waterloo","funders":"","keywords":"Randomness; Revenue; Profit (economics); Incentive; Electric vehicle; Transfer payment; Maximum power transfer theorem; Game theory; Incentive compatibility","score_opus":0.008514656037662776,"score_gpt":0.2365162700100989,"score_spread":0.22800161397243612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416078251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03851126,0.00013851716,0.95320207,0.0003868513,0.00009467694,0.00021777846,0.0000591289,0.00021255802,0.0071772006],"genre_scores_gemma":[0.9286242,0.00014085857,0.066527836,0.0000886412,0.000034166762,0.00026989434,0.00003862529,0.00002299514,0.0042526945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982077,0.0007241902,0.00010078611,0.00036119114,0.0003508144,0.00025538736],"domain_scores_gemma":[0.998276,0.0006573018,0.00040248915,0.00019273674,0.00026829296,0.00020331796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021080482,0.00084487785,0.00115964,0.000561008,0.0009839203,0.0014814311,0.0021053425,0.0011109117,0.002949755],"category_scores_gemma":[0.0038010618,0.00047494343,0.0009642508,0.00064833864,0.0010706318,0.0018594672,0.0014310204,0.0010873429,0.00027221482],"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":[0.00018371879,0.00015405436,0.0010027942,0.00011475347,0.0000931394,0.0003983474,0.00020210167,0.842278,0.0033192653,0.13072506,0.0013948552,0.020133933],"study_design_scores_gemma":[0.00006325419,0.00007693553,0.00013231862,0.0000062122062,0.000020483581,0.000069448615,0.000024664974,0.9751152,0.0005406344,0.0226284,0.001304063,0.000018433124],"about_ca_topic_score_codex":0.0031708134,"about_ca_topic_score_gemma":0.002255861,"teacher_disagreement_score":0.0031708134,"about_ca_system_score_codex":0.0011449935,"about_ca_system_score_gemma":0.0021978207,"threshold_uncertainty_score":0.011148572},"labels":[],"label_agreement":null},{"id":"W4416136163","doi":"10.1109/pesgm52009.2025.11224960","title":"Real-Time AI-Driven EV Charger Load Management for Residential Electrification","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Ottawa","funders":"","keywords":"Electrification; Load management; Renewable energy; Energy management; Service (business); Metering mode; Load profile; Demand response; Load balancing (electrical power); Smart grid","score_opus":0.003758455905886969,"score_gpt":0.22458390668065237,"score_spread":0.2208254507747654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32597193,0.00033504984,0.6306687,0.0006327757,0.00015706316,0.00013266204,0.0002305801,0.0017518396,0.040119417],"genre_scores_gemma":[0.99520856,0.000025125353,0.002969012,0.000015890519,0.000005075318,0.0000122862575,0.000017164519,0.000011575725,0.0017353614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999279,0.000017394425,0.0000032410912,0.000016439068,0.000019559016,0.000015534628],"domain_scores_gemma":[0.99991775,0.000029478178,0.000010496664,0.0000071619193,0.00002602959,0.000009177277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017011685,0.00027972995,0.00025618443,0.00013090455,0.000202057,0.00048459912,0.00046034277,0.000303265,0.0030377975],"category_scores_gemma":[0.00033384992,0.0001088829,0.0001518415,0.00013524659,0.00018336413,0.00038535908,0.00036166006,0.0003630328,0.00030844274],"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":[0.00011770234,0.00006444509,0.00090139895,0.00005046581,0.000011257599,0.00011123139,0.000043385007,0.9676274,0.006265078,0.0031023126,0.0010995674,0.020605689],"study_design_scores_gemma":[0.0000036702297,0.000013841663,0.00010382069,0.0000010988796,0.0000017582097,0.0000062798167,0.000007829891,0.99884355,0.000386408,0.00031832058,0.00031178558,0.0000015953572],"about_ca_topic_score_codex":0.0038674802,"about_ca_topic_score_gemma":0.005919321,"teacher_disagreement_score":0.0038674802,"about_ca_system_score_codex":0.00029578755,"about_ca_system_score_gemma":0.00031756843,"threshold_uncertainty_score":0.010162473},"labels":[],"label_agreement":null},{"id":"W4416136177","doi":"10.1109/pesgm52009.2025.11225685","title":"An Extended State Space Model of Aggregated Electric Vehicles for Flexibility Estimation and Power Control","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Fonds de recherche du Québec","keywords":"Flexibility (engineering); State space; State of charge; Electricity; State (computer science); State-space representation; Control (management); Electric power system","score_opus":0.006165209367727111,"score_gpt":0.2414960846948566,"score_spread":0.23533087532712949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017093454,0.00031509803,0.9741095,0.0002239239,0.00007836882,0.000034165732,0.00032096764,0.00025945198,0.0075651156],"genre_scores_gemma":[0.9687405,0.0006018531,0.022015892,0.00008064433,0.00007465775,0.00018026035,0.0004947537,0.000040179006,0.007771261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999736,0.00007028079,0.000015162527,0.00006645915,0.00007504647,0.000036970974],"domain_scores_gemma":[0.9997367,0.00009635319,0.000045560402,0.000026541058,0.00007834564,0.00001649349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040248965,0.0008590422,0.00068894576,0.00042405695,0.00033164836,0.0010660747,0.0010948004,0.0007862943,0.002743846],"category_scores_gemma":[0.00089754205,0.000317995,0.00088965904,0.0006256838,0.00052361994,0.0011411738,0.00085043476,0.0011610321,0.00054692954],"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":[0.000019231895,0.000009560885,0.0002921793,0.000021929083,0.000013859732,0.000046039844,0.000025233867,0.9837106,0.0006740775,0.009844828,0.00034519462,0.0049972516],"study_design_scores_gemma":[0.0000017242035,0.000008127526,0.000057463723,0.0000022392258,0.0000027214378,0.0000046429795,0.000003326581,0.9978033,0.00005729666,0.0017631446,0.0002936938,0.00000245062],"about_ca_topic_score_codex":0.010488003,"about_ca_topic_score_gemma":0.0063290866,"teacher_disagreement_score":0.010488003,"about_ca_system_score_codex":0.0004973879,"about_ca_system_score_gemma":0.0007120096,"threshold_uncertainty_score":0.020853937},"labels":[],"label_agreement":null},{"id":"W4416136229","doi":"10.1109/pesgm52009.2025.11225073","title":"Assessing Electric Vehicle Charging Diversity Based on AMI and Vehicle Telematics Data","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Telematics; Electric vehicle; Metering mode; Service (business); Charging station; Diversity (politics); Distribution transformer","score_opus":0.017743490557965768,"score_gpt":0.247929960835014,"score_spread":0.23018647027704825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9388997,0.00016182521,0.0019343663,0.00020634221,0.000011482981,0.000057176727,0.054474425,0.00016966951,0.004085001],"genre_scores_gemma":[0.9331914,0.00012744742,0.002103418,0.000026284715,0.0000106809375,0.000032138898,0.063548416,0.000015395519,0.00094481243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993986,0.00008776098,0.000033067543,0.00010347518,0.00024941383,0.00012767733],"domain_scores_gemma":[0.9979007,0.00043543376,0.00022287681,0.00019113069,0.0010889327,0.0001608101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057266775,0.00041654494,0.00032229576,0.0016151898,0.000518823,0.00065481267,0.00057969877,0.0003599222,0.0009784097],"category_scores_gemma":[0.00326466,0.00013213619,0.00032706972,0.0035694982,0.00035575352,0.0005258627,0.00062941987,0.00036674616,0.0003082875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005873886,0.00016521763,0.8676983,0.00027717394,0.00035494423,0.0003777252,0.00072035304,0.07160107,0.0028805907,0.0016322881,0.016495856,0.037209086],"study_design_scores_gemma":[0.000032557375,0.000058896247,0.9025468,0.000042540643,0.00006577504,0.00015624365,0.0015056015,0.07900776,0.0015615517,0.00036148133,0.014611492,0.000049074304],"about_ca_topic_score_codex":0.7807069,"about_ca_topic_score_gemma":0.8598929,"teacher_disagreement_score":0.7807069,"about_ca_system_score_codex":0.004260158,"about_ca_system_score_gemma":0.0031525344,"threshold_uncertainty_score":0.44116914},"labels":[],"label_agreement":null},{"id":"W4416136372","doi":"10.1109/pesgm52009.2025.11225831","title":"A Kolmogorov-Arnold Network for Explainable Detection of Cyberattacks on EV Chargers","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Key (lock); Work (physics); Electric vehicle; Power (physics); Power consumption; Feature extraction; Electric power","score_opus":0.004991977837468098,"score_gpt":0.21399660879782162,"score_spread":0.20900463096035352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06324096,0.0003770653,0.9325593,0.00046785548,0.000045523,0.000037285095,0.00033471826,0.0008229119,0.002114356],"genre_scores_gemma":[0.9221513,0.00029895737,0.07304336,0.0001447831,0.000054266333,0.00007404225,0.00076340314,0.00007685912,0.0033929625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.000101037906,0.00002303062,0.00010058229,0.000062661835,0.000040357827],"domain_scores_gemma":[0.9984059,0.000984248,0.00022344624,0.00011721024,0.00021277941,0.00005649127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069391093,0.000866783,0.00047626434,0.0010035005,0.0003026994,0.00071523484,0.00083274936,0.0008271147,0.0015611968],"category_scores_gemma":[0.004108487,0.00039236055,0.000672013,0.00048825837,0.0006977524,0.0016885519,0.0010137912,0.0013015375,0.00046351663],"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":[0.00016658641,0.000059831487,0.008699364,0.000081824655,0.000071144,0.00018054215,0.00011272543,0.8931786,0.003219752,0.015522174,0.0017437732,0.076963775],"study_design_scores_gemma":[0.0000013641741,0.000008788945,0.00028469192,0.000002993284,0.0000034457382,0.000015536129,0.000005792116,0.99527305,0.00028837816,0.0039632474,0.0001490184,0.0000037643858],"about_ca_topic_score_codex":0.0048038014,"about_ca_topic_score_gemma":0.0054198266,"teacher_disagreement_score":0.0048038014,"about_ca_system_score_codex":0.00068821316,"about_ca_system_score_gemma":0.0005900737,"threshold_uncertainty_score":0.009551704},"labels":[],"label_agreement":null},{"id":"W4416136836","doi":"10.1109/pesgm52009.2025.11225629","title":"Battery Dispatch Optimization for Electric Vehicle Aggregators: A Decentralized Mixed-Integer Least-Squares Approach with Disjunctive Cuts","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lagrange multiplier; Computation; Battery (electricity); Benchmark (surveying); Electric vehicle; Decomposition; Multiplier (economics); Electric-vehicle battery","score_opus":0.003955895258041949,"score_gpt":0.19907785271194836,"score_spread":0.19512195745390642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007897574,0.000115773975,0.9892217,0.00012755801,0.000028111968,0.00003228723,0.00004808031,0.00012742598,0.002401462],"genre_scores_gemma":[0.546891,0.00025155576,0.44827148,0.00016846468,0.00009763079,0.00024148787,0.00029834735,0.00015579976,0.0036243154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995339,0.00017264087,0.000016418087,0.00011156816,0.00011351234,0.00005190955],"domain_scores_gemma":[0.9992526,0.00043676136,0.00008854464,0.000050786773,0.00013341325,0.000037931684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009636153,0.0011032667,0.0011553455,0.00034734252,0.00038207896,0.0011694975,0.0012059164,0.0009803132,0.002025363],"category_scores_gemma":[0.0018750705,0.0006476568,0.0006793089,0.0006405227,0.00050876115,0.00093112834,0.0009892513,0.0015274755,0.0003242831],"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":[0.000027660088,0.000018394478,0.00012155185,0.000036553927,0.000016868926,0.000027301465,0.000018828734,0.9812641,0.00064769195,0.0030542037,0.00053305004,0.0142338015],"study_design_scores_gemma":[0.000006580428,0.000014575377,0.000028875735,0.000002694698,0.0000029097619,0.0000059887657,0.000008028006,0.9978186,0.00018620078,0.0016383645,0.00028529053,0.0000018338849],"about_ca_topic_score_codex":0.0029509221,"about_ca_topic_score_gemma":0.003885117,"teacher_disagreement_score":0.0029509221,"about_ca_system_score_codex":0.0005835963,"about_ca_system_score_gemma":0.001104515,"threshold_uncertainty_score":0.0067754984},"labels":[],"label_agreement":null},{"id":"W4416158578","doi":"10.33540/3234","title":"Electrifying Household Car Fleets: Dynamics of Electric Vehicle Adoption and Travel Behavior in the Transition to Electric Mobility","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Car ownership; Electrification; Sustainable transport; Electric vehicle; Battery electric vehicle; Travel behavior; Greenhouse gas; Quarter (Canadian coin); Electric cars; Public transport","score_opus":0.0066925577019587255,"score_gpt":0.21348403733462173,"score_spread":0.206791479632663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416158578","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977806,0.000190183,0.0004833167,0.0003441049,0.0000033243298,0.000009926016,0.00019140281,0.0000032537139,0.0009938161],"genre_scores_gemma":[0.9988164,0.0002806391,0.00016091837,0.000021608868,0.0000035900039,0.000013563426,0.00020362134,0.0000024768203,0.0004972439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995715,0.00013371828,0.00002526565,0.00008900415,0.00005723918,0.00012332902],"domain_scores_gemma":[0.9980957,0.000844761,0.0005613642,0.000069663874,0.00020057504,0.00022789011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073439896,0.00011777917,0.00021696897,0.000599118,0.00033253295,0.0012636846,0.00039026872,0.00050903205,0.003137971],"category_scores_gemma":[0.0050848327,0.00020733516,0.00047513362,0.0012225559,0.00041186283,0.0016097702,0.0010385741,0.0008861308,0.00034059345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105345964,0.00013326456,0.9664492,0.00005022955,0.0000773483,0.00021984751,0.007817427,0.00212831,0.0003890372,0.003175464,0.0006763526,0.018778007],"study_design_scores_gemma":[0.000004212008,0.00005375726,0.97597843,0.00005173751,0.00002162928,0.00008131942,0.016115243,0.004382599,0.00010039291,0.0011050822,0.0020900494,0.00001546981],"about_ca_topic_score_codex":0.034207348,"about_ca_topic_score_gemma":0.03137196,"teacher_disagreement_score":0.034207348,"about_ca_system_score_codex":0.00092119136,"about_ca_system_score_gemma":0.0007367268,"threshold_uncertainty_score":0.06801647},"labels":[],"label_agreement":null},{"id":"W4416188466","doi":"10.2139/ssrn.5741207","title":"Time-Point Location Optimization in Electrified Bus Routes with En-Route Charging","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrification; Scheduling (production processes); Schedule; Headway; Dwell time; Integer programming; Reliability (semiconductor); Linear programming; Battery (electricity); Service (business)","score_opus":0.0026780342951273615,"score_gpt":0.1912114161057202,"score_spread":0.18853338181059284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416188466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1273351,0.00074048963,0.85426456,0.0005681325,0.00016055739,0.00015035404,0.00037055038,0.0002725836,0.016137667],"genre_scores_gemma":[0.91968954,0.0004141431,0.067515865,0.00007252647,0.000055670902,0.00011657938,0.00024907436,0.00010766223,0.011778913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995559,0.0002256085,0.000015208262,0.00006778468,0.000053347623,0.00008206015],"domain_scores_gemma":[0.9992169,0.0005152226,0.00006513236,0.00003505467,0.0001175275,0.000050101567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010325315,0.0012369874,0.0019002499,0.0007041214,0.00043366416,0.0016856287,0.0012526971,0.0015126799,0.004643159],"category_scores_gemma":[0.0029739747,0.0008420167,0.0010783894,0.0012462058,0.000547147,0.0011613397,0.0010683058,0.00097368937,0.00042961066],"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":[0.000043929216,0.000012342603,0.00008681792,0.000023732458,0.000014334393,0.000029272016,0.000010193826,0.9953099,0.00012337713,0.0013508891,0.00022215403,0.0027731454],"study_design_scores_gemma":[0.000008690966,0.000024222452,0.000056526478,0.000003421173,0.000007393865,0.0000071094573,0.000012414236,0.9983882,0.00008711101,0.0012567474,0.00014556345,0.0000025897916],"about_ca_topic_score_codex":0.012514277,"about_ca_topic_score_gemma":0.007597139,"teacher_disagreement_score":0.012514277,"about_ca_system_score_codex":0.0009188955,"about_ca_system_score_gemma":0.0009902319,"threshold_uncertainty_score":0.024882853},"labels":[],"label_agreement":null},{"id":"W4416229231","doi":"10.1016/j.energy.2025.139181","title":"Transit electrification through charger deployment, fleet type selection, and charging schedule optimization","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Electrification; Schedule; Scheduling (production processes); Electricity; Battery (electricity); Heuristic; Transit (satellite); Public transport","score_opus":0.004572953829602418,"score_gpt":0.1988884370973815,"score_spread":0.1943154832677791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416229231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38473988,0.0003492433,0.5941195,0.0006957684,0.0000558875,0.0002716656,0.0006594153,0.00061723933,0.01849139],"genre_scores_gemma":[0.9371958,0.00017150004,0.056507263,0.000049765156,0.000017585602,0.000104174906,0.00025716546,0.00007164187,0.0056251716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961734,0.00014282795,0.00000943797,0.00007700333,0.000052986885,0.00010038913],"domain_scores_gemma":[0.9995901,0.00022003618,0.000068242734,0.000030509473,0.00004362697,0.00004752212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007495304,0.00086206914,0.0008072047,0.0007848701,0.00041020475,0.0013262641,0.0008873906,0.0009752821,0.0038654802],"category_scores_gemma":[0.0018960852,0.00062248466,0.00062988256,0.0011101648,0.0005278365,0.0013552901,0.0007045533,0.00071470917,0.00028227293],"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":[0.00001488974,0.000012656997,0.0004740468,0.000009621738,0.000007390749,0.000026972584,0.000011019958,0.9932153,0.00022242435,0.0013890736,0.0002585796,0.0043579796],"study_design_scores_gemma":[0.0000074768104,0.000021257141,0.00031235977,0.000002886479,0.000006755025,0.000016085445,0.000029348286,0.9974132,0.00016401066,0.0015904374,0.00043273123,0.000003535384],"about_ca_topic_score_codex":0.013242329,"about_ca_topic_score_gemma":0.013859738,"teacher_disagreement_score":0.013242329,"about_ca_system_score_codex":0.0014604018,"about_ca_system_score_gemma":0.0014118253,"threshold_uncertainty_score":0.02633053},"labels":[],"label_agreement":null},{"id":"W4416313511","doi":"10.1016/j.apenergy.2025.127039","title":"Sustainable planning of electric bus systems: Degradation-aware and climate-specific techno-economic analysis","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Software deployment; Greenhouse gas; Electricity; Grid; Total cost of ownership; Battery electric vehicle; Public transport; Technology roadmap","score_opus":0.002858141667956799,"score_gpt":0.17901245276719085,"score_spread":0.17615431109923405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416313511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23874184,0.0032535163,0.6843127,0.006187643,0.00014831929,0.00034129104,0.0019953167,0.000381442,0.06463809],"genre_scores_gemma":[0.9576689,0.0016530053,0.035999384,0.00012492355,0.000033576576,0.00013370962,0.0004387072,0.00007621232,0.0038715962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995036,0.000230096,0.000013188105,0.000053147254,0.00011476566,0.00008521237],"domain_scores_gemma":[0.9992434,0.00044403248,0.00008826199,0.000035914207,0.00013644443,0.000052026917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012141146,0.0009391243,0.0006767081,0.0010890191,0.00040124188,0.0017626247,0.0008082965,0.0010778491,0.0026156786],"category_scores_gemma":[0.0025749675,0.0007080259,0.00075576565,0.0013810423,0.0007827094,0.001727623,0.000779694,0.00095327833,0.00017571157],"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":[0.0000037453246,0.0000073875717,0.0003926832,0.000014135731,0.0000092483715,0.000017330281,0.000007108543,0.991475,0.00005528143,0.005844011,0.00020768304,0.0019664385],"study_design_scores_gemma":[0.0000021966546,0.000010926263,0.00043908172,0.000012417155,0.0000075750295,0.00000832082,0.00005757294,0.9883299,0.000084865555,0.010106679,0.0009338373,0.0000066212315],"about_ca_topic_score_codex":0.031902455,"about_ca_topic_score_gemma":0.03594603,"teacher_disagreement_score":0.031902455,"about_ca_system_score_codex":0.003420826,"about_ca_system_score_gemma":0.003329639,"threshold_uncertainty_score":0.06343353},"labels":[],"label_agreement":null},{"id":"W4416323714","doi":"10.1109/access.2025.3634467","title":"Quantum-Enhanced Deep Deterministic Policy Gradient for Voltage Regulation in Smart Grids With High Electromobility Penetration","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Smart grid; Voltage regulation; Reinforcement learning; Robustness (evolution); Voltage; Renewable energy; Markov decision process; Control theory (sociology); Electric power system","score_opus":0.006477643006988785,"score_gpt":0.2522193332920996,"score_spread":0.24574169028511084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416323714","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114284344,0.00040316492,0.8787942,0.0008555432,0.0000673902,0.000039670307,0.00005704412,0.0005243219,0.0049743196],"genre_scores_gemma":[0.9714202,0.00009621137,0.026926784,0.00014631847,0.000014382194,0.000033391545,0.000036625835,0.000034824752,0.0012912628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983585,0.000057985035,0.000006036414,0.000030528936,0.00003584965,0.000033693595],"domain_scores_gemma":[0.99919444,0.00055667764,0.00006675101,0.000045855817,0.000085508655,0.0000508376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068581186,0.00041754538,0.00059869245,0.00021189787,0.00028283946,0.0005360469,0.0006323255,0.0005658271,0.0015288324],"category_scores_gemma":[0.0027731024,0.00030825342,0.00027513926,0.00019456197,0.0008706553,0.0007679577,0.0007734686,0.00097605557,0.00013450373],"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":[0.00003952947,0.000019934412,0.00037634827,0.000019507055,0.000012265691,0.000025643962,0.000017190077,0.9803216,0.00064056064,0.009341615,0.000359094,0.008826709],"study_design_scores_gemma":[0.0000029172543,0.000005474533,0.000018526554,9.1070865e-7,9.351336e-7,0.0000015162542,8.7736066e-7,0.9982198,0.00008388458,0.0016183222,0.000046061054,8.311153e-7],"about_ca_topic_score_codex":0.0055646584,"about_ca_topic_score_gemma":0.0055656107,"teacher_disagreement_score":0.0055646584,"about_ca_system_score_codex":0.00096199533,"about_ca_system_score_gemma":0.0011420823,"threshold_uncertainty_score":0.011064529},"labels":[],"label_agreement":null},{"id":"W4416328504","doi":"10.2139/ssrn.5767227","title":"Breaking Down the Barriers: Understanding Consumer Resistance to Zero-Emission Vehicle Purchases","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Multinomial logistic regression; Purchasing; Population; Resistance (ecology); Work (physics); Set (abstract data type); Mixed logit","score_opus":0.010650268075588871,"score_gpt":0.2367855970936423,"score_spread":0.22613532901805344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416328504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87500745,0.0004337747,0.010010835,0.008303809,0.000030748997,0.00004700643,0.00014007962,0.000024592207,0.10600166],"genre_scores_gemma":[0.9973673,0.00009574542,0.00037763963,0.00016531274,0.000008643894,0.000007981482,0.000023347642,0.0000059856807,0.0019479968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992416,0.0002750393,0.000018062105,0.000114347466,0.00013080864,0.00022011371],"domain_scores_gemma":[0.9929363,0.004589178,0.00121295,0.00038173606,0.00056634797,0.00031350183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011742176,0.00022576716,0.0002847448,0.0005168149,0.00069516385,0.0024835486,0.0005980893,0.0015295306,0.0102409525],"category_scores_gemma":[0.00985516,0.00022967505,0.0002565704,0.00045888533,0.0023439897,0.003863881,0.0011958965,0.002148345,0.00057991064],"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":[0.0007460558,0.00081074197,0.21731476,0.00041093686,0.00015072343,0.00088367634,0.05023154,0.013018085,0.003812532,0.6231875,0.0085461475,0.08088736],"study_design_scores_gemma":[0.00010070512,0.0004923624,0.2695206,0.00035509004,0.00011161029,0.00040291421,0.09508571,0.03026587,0.0019308241,0.55724454,0.0444038,0.000086007545],"about_ca_topic_score_codex":0.007219228,"about_ca_topic_score_gemma":0.005881233,"teacher_disagreement_score":0.0102409525,"about_ca_system_score_codex":0.00090480613,"about_ca_system_score_gemma":0.0006615814,"threshold_uncertainty_score":0.03425938},"labels":[],"label_agreement":null},{"id":"W4416342277","doi":"10.1109/epec65543.2025.11230374","title":"Addressing EV-Induced Undervoltage: Implementing Series Compensation to Enhance the Effectiveness of Reactive Power Support","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inro Consultants (Canada)","funders":"","keywords":"AC power; Compensation (psychology); Capacitive sensing; Transformer; Voltage; Electric power system; Capacitor; Power (physics)","score_opus":0.013187120886867331,"score_gpt":0.2994498652012797,"score_spread":0.28626274431441234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416342277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36436912,0.0011007163,0.6029315,0.0003153969,0.0001662594,0.00010719669,0.0000836579,0.0022334796,0.028692694],"genre_scores_gemma":[0.98820764,0.00015788541,0.010565104,0.00003921487,0.000021677664,0.0000075302523,0.000024776156,0.000022438962,0.0009537373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991727,0.000014566165,0.0000063066113,0.000021395956,0.000027386912,0.000012993996],"domain_scores_gemma":[0.9998764,0.000019686626,0.00002491572,0.000015836671,0.00005207194,0.000011126688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012340352,0.00046022845,0.00022140416,0.00028883162,0.00015653319,0.00044698082,0.00069247175,0.0003413834,0.0017002433],"category_scores_gemma":[0.00024581834,0.0000770614,0.00020131489,0.00019089779,0.00016438267,0.0005887662,0.0002084279,0.00027875503,0.0004434583],"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":[0.0004819637,0.00046531472,0.0032975636,0.00040967364,0.000101456666,0.00045245438,0.00019738624,0.12246458,0.47492376,0.00752989,0.0023444132,0.38733155],"study_design_scores_gemma":[0.00013024027,0.0020276525,0.0037550356,0.000095181626,0.00024843696,0.0006804301,0.00013202731,0.74274737,0.2279713,0.004901875,0.017274357,0.00003615155],"about_ca_topic_score_codex":0.0007661493,"about_ca_topic_score_gemma":0.0012332111,"teacher_disagreement_score":0.0017002433,"about_ca_system_score_codex":0.00018453172,"about_ca_system_score_gemma":0.00024360791,"threshold_uncertainty_score":0.0056878924},"labels":[],"label_agreement":null},{"id":"W4416342682","doi":"10.1109/epec65543.2025.11230383","title":"Identifying EV Bad Behaviour: The Parking Lot Usage Efficiency (PLUE) Metric","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Revenue; Parking lot; Matching (statistics); Idle; Occupancy; Identification (biology)","score_opus":0.00897950609104603,"score_gpt":0.24355124348979384,"score_spread":0.23457173739874781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416342682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9387792,0.0008650223,0.016796352,0.000516328,0.0001071925,0.0000970879,0.03429263,0.0017236015,0.0068225334],"genre_scores_gemma":[0.9658283,0.00015352356,0.0070911944,0.00007726477,0.000025809866,0.00003948158,0.025630955,0.000078349076,0.0010751219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992617,0.00013866098,0.00008213119,0.00022030082,0.00017671745,0.00012044982],"domain_scores_gemma":[0.99815804,0.000647625,0.00036716164,0.0002588469,0.00040862808,0.00015964608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008255875,0.0006819714,0.00059995026,0.0020536496,0.0002820857,0.0012063202,0.0007021058,0.0005581569,0.0013703143],"category_scores_gemma":[0.00454329,0.00012148349,0.00042298625,0.0019331437,0.0003004903,0.00134669,0.0009117633,0.00059810583,0.0009392604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057153485,0.0004299695,0.7991753,0.0006121449,0.00038771264,0.00032335988,0.0004884941,0.06475341,0.0039016576,0.0027656842,0.030238073,0.09635256],"study_design_scores_gemma":[0.00005006677,0.000447684,0.52585155,0.00010784133,0.00014104276,0.0012413509,0.0017820637,0.43106088,0.0078036576,0.0052793226,0.026081385,0.00015320594],"about_ca_topic_score_codex":0.005751828,"about_ca_topic_score_gemma":0.013214494,"teacher_disagreement_score":0.005751828,"about_ca_system_score_codex":0.0004845504,"about_ca_system_score_gemma":0.000342666,"threshold_uncertainty_score":0.011436701},"labels":[],"label_agreement":null},{"id":"W4416342790","doi":"10.1109/epec65543.2025.11230439","title":"Primal-Dual Deep Reinforcement Learning-Based Energy Management of Microgrids with Electric Vehicles Charging Stations","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Waterloo","funders":"Ministry of Higher Education","keywords":"Reinforcement learning; Markov decision process; Energy management; Renewable energy; Process (computing); Constraint (computer-aided design); Electricity; Electricity generation; Microgrid","score_opus":0.0029836237367595244,"score_gpt":0.19149337095903757,"score_spread":0.18850974722227803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416342790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053669002,0.00047324214,0.9392478,0.00045941156,0.00007258109,0.000056257846,0.00008295742,0.00044011473,0.005498609],"genre_scores_gemma":[0.9630617,0.00012925566,0.034548704,0.000110591216,0.000027651733,0.00005440374,0.00006618046,0.00003652564,0.0019649612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997658,0.00007273082,0.000008886558,0.00004983033,0.000046742112,0.000056005872],"domain_scores_gemma":[0.99950075,0.00025122002,0.0000779324,0.000026289908,0.00008573259,0.00005799718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008025591,0.0007475046,0.00089133356,0.00024913417,0.00025665286,0.0006756558,0.0010080218,0.0006541144,0.0018091076],"category_scores_gemma":[0.0016350431,0.00038150424,0.000326797,0.00027003032,0.00064088963,0.00065553136,0.0009552781,0.0011217988,0.00019372121],"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":[0.000024943116,0.000021803233,0.00032266774,0.000019877416,0.00001028315,0.000027208023,0.000009796402,0.9889376,0.00028355577,0.0020580033,0.00033089338,0.007953284],"study_design_scores_gemma":[0.0000025490078,0.0000060486045,0.000018972692,0.0000011414032,0.000001106554,0.000001961469,0.0000012942961,0.99923766,0.00005107301,0.0006158534,0.0000617455,6.639314e-7],"about_ca_topic_score_codex":0.006187434,"about_ca_topic_score_gemma":0.0059973416,"teacher_disagreement_score":0.006187434,"about_ca_system_score_codex":0.00086148985,"about_ca_system_score_gemma":0.0012740259,"threshold_uncertainty_score":0.0123028755},"labels":[],"label_agreement":null},{"id":"W4416392593","doi":"10.3390/wevj16110623","title":"Evaluating Unplug Incentives to Improve User Experience and Increase DC Fast Charger Utilization","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Department of Energy; U.S. Department of Energy","keywords":"Incentive; Electric vehicle; State of charge; State (computer science); Population; Power (physics); Range (aeronautics); Duration (music); Demand response","score_opus":0.01197585203152765,"score_gpt":0.2806744918629902,"score_spread":0.2686986398314626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416392593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978829,0.00021926661,0.012876443,0.00022174718,0.00004180066,0.00051136635,0.0004059482,0.0002257835,0.006668527],"genre_scores_gemma":[0.99112433,0.00006395451,0.0075181215,0.000048978272,0.0000068276127,0.00017443344,0.00015616872,0.00002508862,0.000882045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9977285,0.0013061612,0.0000970026,0.00021467671,0.0003133887,0.00034024933],"domain_scores_gemma":[0.9752701,0.019820321,0.00094466965,0.0013199297,0.0017680592,0.0008770029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004874631,0.00091464946,0.0005085912,0.00070403994,0.00040992213,0.0017447261,0.001011077,0.00089301454,0.006665795],"category_scores_gemma":[0.027075132,0.0002702067,0.00066013786,0.000624603,0.0005254373,0.002425768,0.0009014755,0.0010305342,0.0006154387],"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":[0.019700646,0.015677068,0.090219565,0.0017259637,0.00058311416,0.0003275469,0.0009178622,0.55092597,0.011482427,0.016424116,0.005270412,0.28674534],"study_design_scores_gemma":[0.0014272647,0.023857743,0.04269529,0.00019098009,0.00062660105,0.00015305738,0.0015501723,0.90063655,0.014217248,0.008074238,0.0064263213,0.00014448374],"about_ca_topic_score_codex":0.0039308267,"about_ca_topic_score_gemma":0.0037399638,"teacher_disagreement_score":0.006665795,"about_ca_system_score_codex":0.0017074959,"about_ca_system_score_gemma":0.001569812,"threshold_uncertainty_score":0.025779843},"labels":[],"label_agreement":null},{"id":"W4416402817","doi":"10.1109/icicnct66124.2025.11232839","title":"Enhanced Performance of Bidirectional DC-DC Converters for EV Charging: Impact on Energy Efficiency and Grid Load","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Converters; Grid; Efficient energy use; State of charge; Power (physics); Battery (electricity); Duty cycle; Energy management","score_opus":0.0036743408554673223,"score_gpt":0.21106228427155663,"score_spread":0.2073879434160893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416402817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80107194,0.00080479984,0.15389708,0.00061828305,0.00015700776,0.00008655177,0.00019359861,0.002028602,0.041142225],"genre_scores_gemma":[0.9970939,0.000054591535,0.0019221639,0.00002538268,0.0000030386664,0.0000058269525,0.000030294032,0.000016210277,0.0008485114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983084,0.000031789266,0.000010059955,0.000030874922,0.00006210014,0.00003441418],"domain_scores_gemma":[0.9997578,0.00007247212,0.000019932875,0.00003671136,0.00009688024,0.00001617133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035555032,0.00042014924,0.0003727045,0.00019670691,0.0002159554,0.0007563381,0.00057444145,0.00036645506,0.0028763863],"category_scores_gemma":[0.00074650976,0.00011470565,0.0001961239,0.00025295588,0.00020556162,0.0005622815,0.00034436779,0.0005565945,0.0007190223],"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":[0.0025713874,0.0010535632,0.0065560904,0.0004501541,0.000107674714,0.00039979923,0.00014464337,0.48238868,0.13627361,0.0045576496,0.00433165,0.36116505],"study_design_scores_gemma":[0.00006479686,0.00030755065,0.0014186822,0.000015992908,0.00002409456,0.00006898189,0.000037085574,0.95263594,0.042199984,0.0016100653,0.0016023596,0.000014553574],"about_ca_topic_score_codex":0.0017678821,"about_ca_topic_score_gemma":0.0020681196,"teacher_disagreement_score":0.0028763863,"about_ca_system_score_codex":0.00034589332,"about_ca_system_score_gemma":0.00025753456,"threshold_uncertainty_score":0.009622514},"labels":[],"label_agreement":null},{"id":"W4416410499","doi":"10.1016/j.energy.2025.139256","title":"Unraveling energy demand in battery electric bus operations through an explainable machine learning approach using real-world cold-climate data","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Battery (electricity); Energy consumption; Software deployment; Regenerative brake; Public transport; Energy (signal processing); Diesel fuel; Electric vehicle; Efficient energy use","score_opus":0.0169112166194785,"score_gpt":0.24536947180784727,"score_spread":0.22845825518836876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416410499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541538,0.00024058671,0.038550872,0.0009960949,0.0000431196,0.0000280964,0.0044118967,0.00041826066,0.0011572216],"genre_scores_gemma":[0.9924022,0.00005319245,0.004695328,0.000030039262,0.00002000409,0.000013395497,0.0024975932,0.000026969992,0.00026124227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99981064,0.000064277774,0.000014944195,0.000061274,0.000021415513,0.00002750415],"domain_scores_gemma":[0.99780995,0.0016244345,0.00020985007,0.00016807085,0.00013006176,0.00005768588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006897223,0.0006157497,0.00033884405,0.0010734602,0.00026134652,0.0006644071,0.00061032554,0.0007468769,0.001143499],"category_scores_gemma":[0.0031160377,0.00029986238,0.0007148669,0.0010369908,0.0002665259,0.0010034255,0.0004246797,0.0010556987,0.00023813563],"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":[0.00019615483,0.00028215305,0.11727133,0.00008398343,0.00022894824,0.00023569464,0.00019366221,0.8493907,0.0020349477,0.002486868,0.0021777486,0.02541774],"study_design_scores_gemma":[0.000008224287,0.000016478381,0.02265746,0.000005745268,0.000017606844,0.000014127409,0.00005435339,0.9746919,0.00024922166,0.0018262265,0.0004469839,0.000011597506],"about_ca_topic_score_codex":0.035150968,"about_ca_topic_score_gemma":0.049851257,"teacher_disagreement_score":0.035150968,"about_ca_system_score_codex":0.0007032339,"about_ca_system_score_gemma":0.0005401717,"threshold_uncertainty_score":0.069892764},"labels":[],"label_agreement":null},{"id":"W4416415468","doi":"10.1016/j.nexus.2025.100595","title":"Key issues in electric vehicle battery supply chains based on English-language news articles: a machine learning approach","year":2025,"lang":"en","type":"article","venue":"Energy Nexus","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Battery (electricity); Key (lock); Circular economy; Electric vehicle; Electric-vehicle battery; Economic shortage; Energy supply","score_opus":0.0030378714665120717,"score_gpt":0.18619673761947333,"score_spread":0.18315886615296126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416415468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71544117,0.044914164,0.026080072,0.050598335,0.0015165921,0.0010481294,0.025743367,0.00045258744,0.13420558],"genre_scores_gemma":[0.9342362,0.0202305,0.018717458,0.0015966091,0.0017208708,0.0005688055,0.0125618065,0.00011298189,0.010254745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656856,0.0013541114,0.0005801846,0.00040293793,0.0008328344,0.00026133322],"domain_scores_gemma":[0.9012117,0.08319456,0.008618809,0.0008895945,0.0055036447,0.00058172026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004406568,0.0005541146,0.0004915703,0.025036575,0.0020983825,0.009829945,0.00064557913,0.0016143726,0.005115457],"category_scores_gemma":[0.03227304,0.00037214087,0.00039975444,0.029253839,0.0023036648,0.01146074,0.0014267687,0.0011954529,0.0010688691],"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":[0.0005492237,0.00072521035,0.17968458,0.011803136,0.00030866358,0.0072908234,0.12123647,0.003142649,0.006896555,0.073130965,0.065003656,0.5302281],"study_design_scores_gemma":[0.000056793222,0.00019629607,0.24227287,0.009966505,0.00044594324,0.00211548,0.2881713,0.02543152,0.005397291,0.039688066,0.3860336,0.00022429887],"about_ca_topic_score_codex":0.010390114,"about_ca_topic_score_gemma":0.014654983,"teacher_disagreement_score":0.025036575,"about_ca_system_score_codex":0.003733169,"about_ca_system_score_gemma":0.0028278292,"threshold_uncertainty_score":0.027086198},"labels":[],"label_agreement":null},{"id":"W4416429264","doi":"10.1109/jestpe.2025.3635526","title":"A Single-Phase Integrated On-Board Charger With Minimal Current Ripple for Electric Vehicles Having at Least One Motor","year":2025,"lang":"","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery charger; Converters; Inductor; Electric vehicle; Power (physics); Battery (electricity); Controller (irrigation); Propulsion; Inverter; Torque ripple","score_opus":0.009771850672227517,"score_gpt":0.2519514823974533,"score_spread":0.24217963172522577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416429264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13057101,0.0015763317,0.8432317,0.00018924153,0.00038420636,0.00028396657,0.0001713378,0.0042057266,0.019386595],"genre_scores_gemma":[0.9159391,0.00039910592,0.07125409,0.00013080514,0.00007870866,0.00007533704,0.00019899537,0.00012610685,0.0117978025],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996724,0.000026465723,0.000015915555,0.000048447233,0.00020852848,0.000028162674],"domain_scores_gemma":[0.9998492,0.000017480541,0.000020812415,0.000024981902,0.000076542434,0.000010924323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022019866,0.00042279737,0.0005521994,0.00037656337,0.0002985809,0.00073322485,0.0014962344,0.000515893,0.0030944778],"category_scores_gemma":[0.00029627868,0.00018132021,0.00039624263,0.00024831152,0.00014541915,0.00074885675,0.00033406098,0.000520397,0.0010609844],"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":[0.0007544699,0.00037662673,0.0017655103,0.0011290552,0.00017396468,0.0006811214,0.00019317024,0.017635811,0.4637452,0.0075467248,0.0064390455,0.49955937],"study_design_scores_gemma":[0.00042549014,0.0045142993,0.008222377,0.0001202665,0.00050712156,0.0055444045,0.00018823496,0.38768452,0.47341165,0.0021252246,0.11711494,0.00014159617],"about_ca_topic_score_codex":0.0006371205,"about_ca_topic_score_gemma":0.0010551473,"teacher_disagreement_score":0.0030944778,"about_ca_system_score_codex":0.0002576603,"about_ca_system_score_gemma":0.00036062478,"threshold_uncertainty_score":0.0103520155},"labels":[],"label_agreement":null},{"id":"W4416445458","doi":"10.1016/j.apenergy.2025.127066","title":"Unified control architecture for resilient hydrogen mobility with heterogeneous storage under realistic market logistics delays","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Khalifa University of Science, Technology and Research","keywords":"Model predictive control; Scalability; Hydrogen storage; Operating cost; Stochastic control; Procurement; Inventory control; Control (management); Stochastic optimization","score_opus":0.004154642037173569,"score_gpt":0.1874974081754923,"score_spread":0.18334276613831874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416445458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02016294,0.00030166126,0.9695793,0.00023779835,0.00010337941,0.000067782545,0.0000932492,0.00056036294,0.00889354],"genre_scores_gemma":[0.97511894,0.00019203452,0.02099466,0.00007605974,0.000045511693,0.00014026291,0.000114509276,0.000030249801,0.0032877182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995079,0.00006590472,0.000025207244,0.00016517895,0.00010785828,0.0001278985],"domain_scores_gemma":[0.9996742,0.00007877737,0.0000645398,0.000033334592,0.000120697376,0.000028434652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074018916,0.0009797786,0.0007814628,0.00035137378,0.00073705695,0.0018172822,0.0015079237,0.00092619203,0.0030416097],"category_scores_gemma":[0.00085267675,0.0004186063,0.0007793991,0.0003313399,0.00083333865,0.00084517937,0.0018449147,0.0012821729,0.00046479443],"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":[0.00005874272,0.000020010615,0.00019745175,0.000045632834,0.00002365701,0.00008497479,0.0000683445,0.9710741,0.0029628582,0.012459463,0.0006066371,0.012398072],"study_design_scores_gemma":[0.000007007457,0.00003247225,0.000037825022,0.0000035777243,0.000006971276,0.0000058599317,0.000008559154,0.99755716,0.0003695894,0.0015167616,0.00045063932,0.0000035774342],"about_ca_topic_score_codex":0.010068506,"about_ca_topic_score_gemma":0.008154262,"teacher_disagreement_score":0.010068506,"about_ca_system_score_codex":0.0011130988,"about_ca_system_score_gemma":0.0015524478,"threshold_uncertainty_score":0.02001983},"labels":[],"label_agreement":null},{"id":"W4416519030","doi":"10.1016/j.egyr.2025.11.021","title":"Designing energy-positive neighborhoods: A modular framework for integrated planning and policy guidance","year":2025,"lang":"en","type":"article","venue":"Energy Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Science for Equity, Empowerment and Development Division; Canada First Research Excellence Fund","keywords":"Modular design; Microgrid; Scalability; Photovoltaics; Energy (signal processing); Integrated business planning; Energy planning; Modularity (biology)","score_opus":0.004214938610632049,"score_gpt":0.2286992113639795,"score_spread":0.22448427275334745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416519030","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0496979,0.00025078794,0.9144074,0.0011927324,0.000027325554,0.00041742995,0.0008565948,0.00069090683,0.03245899],"genre_scores_gemma":[0.5722102,0.00036301682,0.42392498,0.000066748245,0.000010424914,0.0004377102,0.0005477348,0.00014246404,0.0022967153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988751,0.0005670275,0.000034350996,0.00018754248,0.00022159317,0.00011443532],"domain_scores_gemma":[0.9992274,0.00025550716,0.00009552614,0.00015255151,0.00017924377,0.000089719244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020159895,0.00083349674,0.00071525294,0.0011858246,0.0011668218,0.0030094706,0.002426899,0.0008989718,0.0034712434],"category_scores_gemma":[0.0028128203,0.0006079003,0.000983189,0.0010675809,0.0015548689,0.0021697278,0.0027221697,0.0008764751,0.00029319918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015244786,0.000046449542,0.002120042,0.000059199363,0.000040446143,0.000058486356,0.00020652718,0.8643312,0.0004501179,0.11475227,0.0009481397,0.01697193],"study_design_scores_gemma":[0.000017292263,0.00005489708,0.0011573308,0.000082350336,0.00003857088,0.000028502755,0.000749279,0.89647347,0.00065906375,0.09091695,0.00978657,0.000035706136],"about_ca_topic_score_codex":0.07426143,"about_ca_topic_score_gemma":0.15306962,"teacher_disagreement_score":0.07426143,"about_ca_system_score_codex":0.005034907,"about_ca_system_score_gemma":0.008608582,"threshold_uncertainty_score":0.14765835},"labels":[],"label_agreement":null},{"id":"W4416519894","doi":"10.1016/j.rineng.2025.108369","title":"Forecasting electric vehicle charging loads using random forest and gene expression programming ensemble models","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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 Windsor; Regional Municipality of Niagara","funders":"","keywords":"Gene expression programming; Random forest; Electric vehicle; Ensemble forecasting; Ensemble learning","score_opus":0.01025193551762015,"score_gpt":0.20428511836819707,"score_spread":0.1940331828505769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416519894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28433165,0.0010155767,0.7102053,0.00037752627,0.00008399717,0.00003965816,0.00057208975,0.0010295097,0.002344681],"genre_scores_gemma":[0.93747336,0.00040805832,0.059688073,0.00006406934,0.000046567446,0.000072839815,0.00074847374,0.0000416933,0.0014568868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998265,0.000048066253,0.000008534886,0.00004819321,0.000037779588,0.000030867577],"domain_scores_gemma":[0.99952257,0.00028501806,0.000052476393,0.000025345158,0.000099625155,0.000015045036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005443634,0.0006814201,0.00068927254,0.0005045807,0.00019626104,0.000490598,0.000584792,0.00044599595,0.00047906864],"category_scores_gemma":[0.0011869966,0.00024960778,0.00081211777,0.000692549,0.00017357129,0.00050759903,0.0002836453,0.00075412606,0.00015469255],"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":[0.000018894576,0.000013439648,0.0013679768,0.0000060660886,0.000022667697,0.00001859728,0.000008675385,0.97876906,0.00037708873,0.00039406092,0.00019897918,0.018804472],"study_design_scores_gemma":[4.194001e-7,0.0000030517579,0.0001197807,5.397513e-7,0.0000017337409,0.0000015733273,0.0000011417177,0.99954635,0.00006508396,0.00022292032,0.00003621342,0.0000011127319],"about_ca_topic_score_codex":0.01428088,"about_ca_topic_score_gemma":0.011762019,"teacher_disagreement_score":0.01428088,"about_ca_system_score_codex":0.00040325196,"about_ca_system_score_gemma":0.0004248202,"threshold_uncertainty_score":0.028395534},"labels":[],"label_agreement":null},{"id":"W4416538470","doi":"10.1038/s41598-025-28899-2","title":"Simulation models for sustainable, resilient, and optimized global electric vehicles supply chain","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Probabilistic logic; Sustainability; Counterfactual thinking; Life-cycle assessment; Vulnerability (computing); Range (aeronautics); Greenhouse gas; Supply chain risk management; Resource (disambiguation)","score_opus":0.004899474297682295,"score_gpt":0.22667236054618486,"score_spread":0.22177288624850258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416538470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2465807,0.0009154451,0.6822792,0.001756551,0.00018092265,0.00026325585,0.0044507566,0.00073142,0.062841736],"genre_scores_gemma":[0.9520317,0.00074350374,0.033844523,0.00012042923,0.000032793974,0.00037631858,0.0017890182,0.00012340452,0.0109382495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962556,0.00014550914,0.000019516421,0.00006260413,0.00006807484,0.00007870558],"domain_scores_gemma":[0.9989046,0.0006629849,0.00013074983,0.000063761334,0.00018189503,0.000055957466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068521017,0.000823802,0.000680976,0.00078476244,0.00058187864,0.0012449411,0.0011006711,0.001393318,0.0064150263],"category_scores_gemma":[0.0025605725,0.0005089685,0.0011515471,0.001257664,0.0006582365,0.0012506477,0.0010484059,0.0010182841,0.00051943975],"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":[0.0000069298226,0.0000039051283,0.00019906773,0.000006283248,0.0000043448013,0.000010154016,0.000008493568,0.99625576,0.00007118084,0.002916802,0.00010227144,0.00041486905],"study_design_scores_gemma":[0.000004701832,0.0000069025377,0.00009063974,0.000005782481,0.000003854182,0.0000047446915,0.000016072254,0.99602616,0.00008363377,0.0031407534,0.00061337196,0.000003305421],"about_ca_topic_score_codex":0.022757752,"about_ca_topic_score_gemma":0.015523681,"teacher_disagreement_score":0.022757752,"about_ca_system_score_codex":0.0017741794,"about_ca_system_score_gemma":0.0017193691,"threshold_uncertainty_score":0.045250535},"labels":[],"label_agreement":null},{"id":"W4416543029","doi":"10.1016/j.trd.2025.105127","title":"Zero-emission medium- and heavy-duty fleet operation: The perspectives of stakeholders","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Latent Dirichlet allocation; Penetration rate; Psychological intervention; Qualitative research; Market penetration; Qualitative analysis; Fossil fuel","score_opus":0.02770466207371298,"score_gpt":0.263616626940541,"score_spread":0.23591196486682803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416543029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98399657,0.00046452536,0.0025993069,0.003427656,0.000033826167,0.00005686115,0.000067732355,0.00000798431,0.009345518],"genre_scores_gemma":[0.99797684,0.0004387355,0.0004254435,0.00037522026,0.0000053727013,0.000041925865,0.000026584488,0.000005361829,0.0007045801],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99438184,0.0038289367,0.00015391725,0.00026153182,0.00043939392,0.00093440287],"domain_scores_gemma":[0.9928282,0.0049112705,0.0005232886,0.00010474939,0.0008831393,0.00074936193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073401304,0.00046009006,0.00042362846,0.0009896788,0.0043376433,0.0040686456,0.0007292447,0.0019038463,0.0018932231],"category_scores_gemma":[0.009629995,0.00036044707,0.00031330207,0.0010256119,0.0031395077,0.004763062,0.0044723614,0.0022419079,0.00025048846],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005910116,0.00006287027,0.018693952,0.00021299285,0.000010272396,0.0019909134,0.9576266,0.00023872207,0.0029082994,0.0059765754,0.00070865336,0.011511031],"study_design_scores_gemma":[0.0000016388896,0.000039531304,0.002110953,0.00010125073,0.000004193857,0.00018344211,0.9897189,0.00021946982,0.00036998876,0.000807001,0.0064310166,0.000012615639],"about_ca_topic_score_codex":0.0047878046,"about_ca_topic_score_gemma":0.0039804587,"teacher_disagreement_score":0.0073401304,"about_ca_system_score_codex":0.0021966228,"about_ca_system_score_gemma":0.0023373798,"threshold_uncertainty_score":0.038818777},"labels":[],"label_agreement":null},{"id":"W4416612111","doi":"10.1016/j.erss.2025.104450","title":"“Electric vehicles do not work in the winter”: Exploring the role of misperceptions and socio-psychological factors in zero-emission vehicle adoption","year":2025,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"SaskPower; University of Regina","keywords":"Theory of planned behavior; Electrification; Work (physics); Multilevel model; Sample (material); Control (management); Electric vehicle; Empirical evidence; Scale (ratio)","score_opus":0.03876297530015522,"score_gpt":0.322310354152407,"score_spread":0.2835473788522518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416612111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994543,0.00006448587,0.000064847256,0.00008389234,0.0000026439177,0.0000044530098,0.000007309593,3.9225128e-7,0.00031767614],"genre_scores_gemma":[0.9995778,0.00012707482,0.00009146269,0.000052840576,0.0000016985866,0.000003608151,0.000016637683,5.636072e-7,0.0001283265],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99860954,0.00060204265,0.000092568334,0.000111812806,0.00036752748,0.00021642038],"domain_scores_gemma":[0.99343735,0.0024693103,0.002296572,0.00026786962,0.0009681752,0.00056078937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003495404,0.00021471304,0.00025436754,0.0004984311,0.0006844279,0.0015865323,0.0004904159,0.00040746317,0.00066947774],"category_scores_gemma":[0.007800443,0.00021268406,0.00045566977,0.0004718144,0.001115342,0.00081712304,0.00096871174,0.000948714,0.00006479221],"study_design_candidate":"qualitative","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":[0.000047352612,0.00013592634,0.9693582,0.000044888428,0.000059657566,0.00012135941,0.020109294,0.00006405831,0.00036457265,0.0002736635,0.00006698429,0.009353978],"study_design_scores_gemma":[0.0000033757387,0.00010434568,0.94545436,0.000069312875,0.000050242965,0.000090157635,0.052756086,0.00031836555,0.00029057343,0.00017790182,0.00067244034,0.000012819381],"about_ca_topic_score_codex":0.08634791,"about_ca_topic_score_gemma":0.15651873,"teacher_disagreement_score":0.08634791,"about_ca_system_score_codex":0.0018713814,"about_ca_system_score_gemma":0.003247746,"threshold_uncertainty_score":0.17169064},"labels":[],"label_agreement":null},{"id":"W4416630575","doi":"10.1257/aeri.20240476","title":"Electric Vehicles and the Energy Transition: Unintended Consequences of Time-of-Use Pricing","year":2025,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Unintended consequences; Electricity pricing; Electricity; Electric vehicle; Demand response; Electric energy; Shadow price; Energy (signal processing); Distribution (mathematics)","score_opus":0.0043252724012300585,"score_gpt":0.19588013847212957,"score_spread":0.1915548660708995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416630575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95792943,0.0004047474,0.008174567,0.0032545687,0.00012706837,0.000086919026,0.0003586862,0.000061272505,0.029602757],"genre_scores_gemma":[0.99870217,0.000094286865,0.0002600428,0.00018298722,0.000010295078,0.000017365084,0.000022958428,0.000003830238,0.0007060827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896085,0.0005907139,0.00003736939,0.000111382615,0.00014758656,0.0001520683],"domain_scores_gemma":[0.98810846,0.008936137,0.0016456257,0.00056612777,0.00045860352,0.00028506096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001646096,0.00022336737,0.00033934726,0.00017967216,0.00039537085,0.001861309,0.00070453226,0.0011869028,0.0101138335],"category_scores_gemma":[0.012598655,0.00014980067,0.00023997408,0.00037608176,0.0012571106,0.0020452568,0.0008473151,0.0015989084,0.00031031008],"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":[0.0066762124,0.0048346575,0.12472174,0.00054218736,0.00027669122,0.0013918661,0.0014368789,0.3142902,0.010297169,0.369016,0.017014518,0.14950195],"study_design_scores_gemma":[0.0014119886,0.005026545,0.115180984,0.0002530618,0.00032930748,0.00059216644,0.0072832336,0.3640355,0.009532951,0.46808437,0.028037403,0.00023259915],"about_ca_topic_score_codex":0.0032830331,"about_ca_topic_score_gemma":0.0024055636,"teacher_disagreement_score":0.0101138335,"about_ca_system_score_codex":0.0010748422,"about_ca_system_score_gemma":0.0008259471,"threshold_uncertainty_score":0.03383416},"labels":[],"label_agreement":null},{"id":"W4416673744","doi":"10.1017/etr.2025.10008","title":"From mine to motor: A literature review on environmental assessments of electric vehicle battery supply chains","year":2025,"lang":"en","type":"article","venue":"Cambridge Prisms Energy Transitions","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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 Regina","funders":"","keywords":"Sustainability; Supply chain; Transparency (behavior); Traceability; Life-cycle assessment; China; Battery (electricity); Environmental impact assessment","score_opus":0.003152002470494423,"score_gpt":0.203834386876106,"score_spread":0.20068238440561156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416673744","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016876692,0.9957184,0.00035645883,0.00061309716,0.00011867714,0.000066440865,0.00030845692,0.0000052268365,0.0011255223],"genre_scores_gemma":[0.017397074,0.98080784,0.0008232582,0.00044288367,0.00006640477,0.00010225061,0.00022746857,0.000004358569,0.00012848678],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99117833,0.0035035713,0.002657284,0.0006465288,0.0018357445,0.00017864515],"domain_scores_gemma":[0.95193595,0.036485124,0.0053579286,0.000607123,0.00536164,0.00025214226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00882573,0.00093644205,0.0019979246,0.018682584,0.0006253181,0.002923108,0.0013238809,0.0012801248,0.0038710728],"category_scores_gemma":[0.035775322,0.0006439976,0.0035132808,0.019740846,0.0010092253,0.003650131,0.0015611516,0.00097164325,0.00034912425],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014019175,0.000039376082,0.0024033256,0.70580375,0.0027400367,0.00030415787,0.0011869107,0.00059061503,0.0003328089,0.0020223772,0.0057760626,0.27866042],"study_design_scores_gemma":[0.000028494087,0.00013036071,0.007975178,0.86470574,0.0096832,0.0005483228,0.0019918568,0.00015898242,0.00041127074,0.0015640206,0.11275233,0.00005030021],"about_ca_topic_score_codex":0.006710436,"about_ca_topic_score_gemma":0.019604463,"teacher_disagreement_score":0.018682584,"about_ca_system_score_codex":0.0027582964,"about_ca_system_score_gemma":0.009887825,"threshold_uncertainty_score":0.046675503},"labels":[],"label_agreement":null},{"id":"W4416679660","doi":"10.1016/j.cose.2025.104759","title":"Plug and prey: Exploiting design flaws to hijack EV charging stations","year":2025,"lang":"en","type":"article","venue":"Computers & Security","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada Foundation for Innovation","keywords":"Exploit; Software deployment; Host (biology); Threat model; Plug and play; Power (physics); Plug-in; Inductive charging","score_opus":0.00775121980768788,"score_gpt":0.2131196533605201,"score_spread":0.2053684335528322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416679660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.778813,0.0003780049,0.20062375,0.00066765776,0.00015324967,0.00041705777,0.00014267939,0.00900642,0.009798153],"genre_scores_gemma":[0.9734205,0.00008362344,0.024169581,0.00016213254,0.0000076268175,0.00005247384,0.00006815436,0.00025794067,0.0017778041],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965348,0.0012696078,0.00020421935,0.00029947158,0.0011942574,0.00049766514],"domain_scores_gemma":[0.9903655,0.003990751,0.0012875763,0.0032918225,0.0007900777,0.00027424382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002688673,0.00088384934,0.0003443064,0.00075979077,0.0003702982,0.0011200384,0.0011519042,0.0012679694,0.0016245053],"category_scores_gemma":[0.011199038,0.00040663066,0.00056196726,0.00024839133,0.0017403117,0.0028538746,0.0016676522,0.00151094,0.00045979215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032117735,0.002031496,0.10718238,0.0015979159,0.0009640508,0.008746691,0.004520672,0.15269536,0.30715194,0.08861447,0.013648888,0.30963433],"study_design_scores_gemma":[0.00024813172,0.0034127794,0.016795479,0.00027309277,0.0005002761,0.0054175765,0.0008453499,0.6829164,0.24591085,0.015633296,0.027853213,0.00019358605],"about_ca_topic_score_codex":0.00090119813,"about_ca_topic_score_gemma":0.0010691981,"teacher_disagreement_score":0.002688673,"about_ca_system_score_codex":0.00054823776,"about_ca_system_score_gemma":0.0006632519,"threshold_uncertainty_score":0.014219224},"labels":[],"label_agreement":null},{"id":"W4416718163","doi":"10.1111/risa.70148","title":"Examining Emerging Risks of Vehicle Electrification in Emergency Medical Transport","year":2025,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Electrification; Software deployment; Queueing theory; Scale (ratio); Battery (electricity); Offset (computer science); Key (lock)","score_opus":0.011642939126418556,"score_gpt":0.2644889410825745,"score_spread":0.2528460019561559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416718163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434335,0.0013465128,0.03640367,0.002206378,0.000060384744,0.00013077518,0.0003909483,0.000060207745,0.0159676],"genre_scores_gemma":[0.9973345,0.00046118666,0.0014944329,0.00003012658,0.000013826524,0.000012974135,0.000070376576,0.0000054598845,0.00057723786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989938,0.0004658776,0.00003945555,0.000088977664,0.0002358331,0.00017616754],"domain_scores_gemma":[0.9918349,0.0053431657,0.0014000463,0.00019547758,0.0010306159,0.00019579177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242471,0.0006200963,0.00030233688,0.0011340848,0.00036386782,0.001508527,0.0007079573,0.00093041756,0.0019940473],"category_scores_gemma":[0.008866506,0.0002704531,0.0005794692,0.00086299045,0.00063580537,0.0025725998,0.0012208412,0.0010577963,0.00014998764],"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":[0.00036507158,0.00024080458,0.09011343,0.00018579778,0.0001891875,0.0009708387,0.00038356992,0.8359881,0.0017655265,0.04456241,0.0016165791,0.023618683],"study_design_scores_gemma":[0.000021844853,0.0004976234,0.042796373,0.0001240366,0.00014292967,0.0004536049,0.0023505024,0.9209184,0.002828026,0.026800027,0.0029905867,0.00007611387],"about_ca_topic_score_codex":0.006507783,"about_ca_topic_score_gemma":0.0057749,"teacher_disagreement_score":0.006507783,"about_ca_system_score_codex":0.0021410037,"about_ca_system_score_gemma":0.0010506355,"threshold_uncertainty_score":0.015534103},"labels":[],"label_agreement":null},{"id":"W4416750121","doi":"10.1109/tvt.2025.3638259","title":"Safe and Sustainable Electric Bus Charging Scheduling With Constrained Hierarchical DRL","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ethica (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lagrangian relaxation; Markov decision process; Scheduling (production processes); Reinforcement learning; Minification; Photovoltaic system; Charging station; Renewable energy; Electricity; Job shop scheduling","score_opus":0.0025453045340165605,"score_gpt":0.1926595409593658,"score_spread":0.19011423642534925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416750121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03425683,0.0002792305,0.9601407,0.00035439082,0.000040207255,0.000051315532,0.000093649476,0.00073183683,0.0040519354],"genre_scores_gemma":[0.9274944,0.00010191117,0.06980646,0.00019493385,0.000021054822,0.000073772935,0.0001410187,0.00008167485,0.002084866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961686,0.00011295103,0.000014533125,0.000092540635,0.000081631006,0.000081490994],"domain_scores_gemma":[0.999169,0.00044088424,0.00012442803,0.00006807582,0.00011774792,0.000079759506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826012,0.00068437937,0.00076900964,0.0002600493,0.00031931652,0.00069477013,0.00096639013,0.0007327121,0.00208639],"category_scores_gemma":[0.0023079847,0.00047327855,0.00045823536,0.0002746125,0.0006844068,0.00081296876,0.0011114145,0.0013830212,0.00035965315],"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":[0.000028234488,0.00002063413,0.0003652057,0.000023591676,0.00000961786,0.000028794522,0.00002213926,0.98370695,0.00046330332,0.0023356106,0.0004742208,0.012521657],"study_design_scores_gemma":[0.0000043017935,0.00000631706,0.000030782678,0.0000016892219,0.0000012752374,0.0000028031786,0.0000029185883,0.9987459,0.000093206865,0.0010012081,0.00010832942,0.0000011333051],"about_ca_topic_score_codex":0.009770017,"about_ca_topic_score_gemma":0.011252823,"teacher_disagreement_score":0.009770017,"about_ca_system_score_codex":0.0009222624,"about_ca_system_score_gemma":0.0019366947,"threshold_uncertainty_score":0.019426286},"labels":[],"label_agreement":null},{"id":"W4416791223","doi":"10.1088/1742-6596/3140/5/052005","title":"Enhancing grid flexibility through electric vehicles: The role of driver travel patterns","year":2025,"lang":"","type":"article","venue":"Journal of Physics Conference Series","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Flexibility (engineering); Electricity; Controller (irrigation); Grid; Work (physics); Energy consumption; Consumption (sociology); Demand response","score_opus":0.008967000515217712,"score_gpt":0.22724672294026965,"score_spread":0.21827972242505195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416791223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98440856,0.00009139512,0.009070223,0.00027267987,0.0000107923815,0.00003907581,0.00019933822,0.00015282334,0.0057551195],"genre_scores_gemma":[0.9990939,0.000015049473,0.0005789906,0.000011368425,9.1719494e-7,0.0000031374932,0.000034070927,0.0000033609836,0.00025924185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966943,0.00014298313,0.00000819851,0.000041376676,0.000057211717,0.00008084489],"domain_scores_gemma":[0.9990717,0.00036889213,0.00010202971,0.00008668056,0.00026227412,0.00010840703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000624957,0.00031657662,0.00016441998,0.00024349087,0.0002739987,0.00075786037,0.00053238077,0.00017179614,0.0015795392],"category_scores_gemma":[0.0026278868,0.000110106055,0.00015008492,0.00034795745,0.0003128591,0.00042568348,0.0004003261,0.00026121672,0.000115541035],"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":[0.00058338814,0.0003465329,0.23913343,0.000083936815,0.00019622422,0.00016677903,0.0002558381,0.66824365,0.010180484,0.0028184468,0.0018437488,0.07614757],"study_design_scores_gemma":[0.000072659044,0.00055477803,0.2501716,0.00002895695,0.000088386376,0.00007090269,0.0010215872,0.7345681,0.0058439313,0.0021024994,0.005410913,0.000065623004],"about_ca_topic_score_codex":0.2339724,"about_ca_topic_score_gemma":0.3319267,"teacher_disagreement_score":0.2339724,"about_ca_system_score_codex":0.0018276062,"about_ca_system_score_gemma":0.0014312622,"threshold_uncertainty_score":0.46522105},"labels":[],"label_agreement":null},{"id":"W4416797282","doi":"10.1038/s41598-025-30585-2","title":"National assessment of transit electrification in Canada: infrastructure costs, energy demand, and greenhouse gas reduction potential","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Greenhouse gas; Electricity; Software deployment; Transit (satellite); Public transport; Margin (machine learning); Tonne","score_opus":0.0022882117074721174,"score_gpt":0.19159117933219713,"score_spread":0.189302967624725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416797282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90466905,0.0010461861,0.0037539594,0.0015890392,0.000020818119,0.0001972657,0.037844185,0.00017538448,0.050704103],"genre_scores_gemma":[0.9757568,0.0009959383,0.003394535,0.0001386617,0.0000043512223,0.000041995354,0.012997377,0.000030153391,0.0066402564],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988788,0.00006757216,0.00002588102,0.00006704018,0.0007468534,0.00021392728],"domain_scores_gemma":[0.9959194,0.0001858891,0.00020637126,0.00006767294,0.003429037,0.00019165636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000722066,0.00048836775,0.0002512941,0.002198963,0.001174712,0.0016692907,0.00063410733,0.00026292203,0.0016209625],"category_scores_gemma":[0.0026425149,0.00016509173,0.0003692167,0.0049859583,0.00042888228,0.0007308143,0.0006932271,0.00049323856,0.00019232521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003702222,0.0002615524,0.728381,0.000700631,0.0004509533,0.00037576753,0.0011181039,0.08260279,0.0040172683,0.011097948,0.03385688,0.13676699],"study_design_scores_gemma":[0.000024971778,0.000105061146,0.8925546,0.00016001283,0.00017666224,0.000097029,0.0039889645,0.05342444,0.00292481,0.0011005297,0.045353856,0.00008899365],"about_ca_topic_score_codex":0.9955236,"about_ca_topic_score_gemma":0.9979315,"teacher_disagreement_score":0.048701607,"about_ca_system_score_codex":0.048701607,"about_ca_system_score_gemma":0.052322038,"threshold_uncertainty_score":0.35335654},"labels":[],"label_agreement":null},{"id":"W4416799662","doi":"10.1109/snpd65828.2025.11252800","title":"Designing an AI-Driven Mobile Charging Station Network: Requirements and Opportunities","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Software deployment; Scalability; Renewable energy; Service (business); Work (physics); Event (particle physics); Transient (computer programming); Resource (disambiguation); Mobile device","score_opus":0.026111112017679603,"score_gpt":0.2629179427209924,"score_spread":0.2368068307033128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416799662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046058584,0.0004035723,0.9381697,0.0013890266,0.000076674194,0.00033420057,0.00006769715,0.0002835749,0.013216988],"genre_scores_gemma":[0.8378045,0.00068430416,0.15678175,0.00014969558,0.00004864114,0.00026549448,0.00008611835,0.000035464178,0.004143951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932563,0.00021311663,0.000028475748,0.000104453604,0.0002268126,0.00010147857],"domain_scores_gemma":[0.99908733,0.00031890944,0.00011325449,0.000117530086,0.0002416015,0.00012134418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010616103,0.00038553379,0.00034521916,0.00025333624,0.0008121015,0.0013769554,0.0012571998,0.0011194231,0.0015329906],"category_scores_gemma":[0.002298593,0.0002711916,0.00024238668,0.0004279789,0.0008486086,0.0019701547,0.001112112,0.0007949485,0.0005323404],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015179058,0.00018221594,0.00273595,0.0004043279,0.000035103163,0.00081227184,0.00046439678,0.68928087,0.03925158,0.16242576,0.0024257186,0.10183004],"study_design_scores_gemma":[0.000019202456,0.00013943018,0.00019757921,0.000023853623,0.000009785998,0.00020308305,0.0001774042,0.9628335,0.0046297032,0.02154131,0.010212856,0.000012272496],"about_ca_topic_score_codex":0.0020023421,"about_ca_topic_score_gemma":0.0030491913,"teacher_disagreement_score":0.0020023421,"about_ca_system_score_codex":0.00097465,"about_ca_system_score_gemma":0.0018687166,"threshold_uncertainty_score":0.007071674},"labels":[],"label_agreement":null},{"id":"W4416851666","doi":"10.2139/ssrn.5814782","title":"&lt;p&gt;India's Electric Vehicle Transition: Aspirations, Realities, and the Road Ahead&lt;/p&gt;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Electric vehicle; Dashboard; Trajectory; Penetration (warfare); Electric-vehicle battery; Market penetration","score_opus":0.005089241226501361,"score_gpt":0.2028284974143205,"score_spread":0.19773925618781912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416851666","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32617208,0.0026563716,0.00080048613,0.17432828,0.00084615016,0.000027813669,0.0016724378,0.0000956587,0.49340075],"genre_scores_gemma":[0.9656751,0.0010500442,0.00015918828,0.0012217483,0.000047960682,0.000011873208,0.0001640026,0.00001807865,0.03165196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999637,0.00006923655,0.000011423524,0.000028088214,0.000069867274,0.00018435807],"domain_scores_gemma":[0.99899083,0.00026088962,0.00012398149,0.00003147417,0.00014807074,0.00044481445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044678917,0.00013171037,0.0001231057,0.00047637057,0.0037784118,0.0073986733,0.0003766842,0.0015661421,0.022686267],"category_scores_gemma":[0.0019970976,0.000118352225,0.00018535682,0.0013639352,0.0020483648,0.0029517035,0.0016381183,0.0026583818,0.0020805518],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032734094,0.0001784317,0.05310806,0.0001764325,0.000027992051,0.0012093069,0.014677648,0.0013873216,0.00056842546,0.67009485,0.19365811,0.06458597],"study_design_scores_gemma":[0.00004345897,0.0001454701,0.22846767,0.00050184067,0.000051227744,0.00047990604,0.17832085,0.003469282,0.002125814,0.17375001,0.41249308,0.00015130414],"about_ca_topic_score_codex":0.09562121,"about_ca_topic_score_gemma":0.13206549,"teacher_disagreement_score":0.09562121,"about_ca_system_score_codex":0.0055240337,"about_ca_system_score_gemma":0.0056025907,"threshold_uncertainty_score":0.19012928},"labels":[],"label_agreement":null},{"id":"W4416923788","doi":"10.1109/sefet65155.2025.11255155","title":"Advancements in EV Load Prediction: Methods, Tools, and Implications for Distribution Grid Planning","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Grid; Peak load; Load profile; Estimation; Load management; Distribution (mathematics); Load distribution; Energy (signal processing)","score_opus":0.016382331508441508,"score_gpt":0.32033084752027713,"score_spread":0.30394851601183565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416923788","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018507985,0.27281344,0.63838184,0.018840445,0.0020363063,0.00015595871,0.0020894306,0.0013146694,0.045859955],"genre_scores_gemma":[0.25686055,0.42154282,0.30811596,0.0012281752,0.0029136327,0.00016655294,0.0023813806,0.0003681763,0.0064228578],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988399,0.00038689998,0.00009214212,0.00019465864,0.00042859936,0.000057749778],"domain_scores_gemma":[0.99423695,0.0037634615,0.00040546968,0.00035870963,0.0011440545,0.00009124204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033319944,0.0011095279,0.0008853042,0.0028336532,0.00042855903,0.003073521,0.0014453317,0.0010979092,0.0027762847],"category_scores_gemma":[0.008165365,0.00055053475,0.0006283105,0.0052334224,0.00080472784,0.006436315,0.0013696745,0.0023643957,0.0014393355],"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":[0.000068746354,0.00011262349,0.0074131982,0.002005583,0.000072260525,0.00008910068,0.00019237892,0.09651188,0.0011478047,0.060748365,0.018198544,0.8134395],"study_design_scores_gemma":[0.00002522389,0.00017671265,0.009505238,0.004036342,0.00015370979,0.00043287606,0.0010359833,0.46081865,0.00569535,0.17061338,0.3472454,0.00026125283],"about_ca_topic_score_codex":0.004806743,"about_ca_topic_score_gemma":0.0051231286,"teacher_disagreement_score":0.004806743,"about_ca_system_score_codex":0.0010063435,"about_ca_system_score_gemma":0.0011831778,"threshold_uncertainty_score":0.017621458},"labels":[],"label_agreement":null},{"id":"W4416994019","doi":"10.3390/su172310862","title":"Optimal Allocation of Electric Vehicles Charging Stations in Commercial Parking Lots: A Mixed-Integer Nonlinear Programming Approach","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Concordia University","funders":"","keywords":"Retrofitting; Robustness (evolution); Activity-based costing; Scalability; Nonlinear programming; Sensitivity (control systems); Nonlinear system; Total cost of ownership; Electric vehicle","score_opus":0.004778228893531174,"score_gpt":0.23714135606618464,"score_spread":0.23236312717265348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416994019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056522634,0.0004094725,0.93057376,0.0004963322,0.00004746287,0.00013496139,0.00030093364,0.00014090304,0.011373467],"genre_scores_gemma":[0.8128047,0.00046652678,0.17580199,0.0001550999,0.000040986302,0.0003363203,0.00024939203,0.00010932433,0.010035581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999542,0.00022893709,0.000012579357,0.00007327639,0.000072039205,0.00007114522],"domain_scores_gemma":[0.99918836,0.00057008874,0.00007848074,0.000020053234,0.00009500247,0.00004789642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012578071,0.0010843694,0.0011144,0.0008218047,0.0004085947,0.0016843596,0.0013619907,0.0011827721,0.0038091452],"category_scores_gemma":[0.0023350583,0.0011248951,0.0010085573,0.00097544014,0.0007366753,0.0012569538,0.00093241653,0.0009350183,0.0003371194],"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":[0.000014477874,0.00001355042,0.00013085402,0.00002063091,0.000007933667,0.000017385117,0.0000070521514,0.99482274,0.000121952384,0.0023508666,0.00012949813,0.0023630653],"study_design_scores_gemma":[0.000003882849,0.000010699115,0.000033341836,0.0000033986848,0.0000032741516,0.0000032283224,0.000010458508,0.99843067,0.0000633535,0.0012637224,0.00017163831,0.0000023328853],"about_ca_topic_score_codex":0.010620266,"about_ca_topic_score_gemma":0.012861974,"teacher_disagreement_score":0.010620266,"about_ca_system_score_codex":0.0017865024,"about_ca_system_score_gemma":0.0020221563,"threshold_uncertainty_score":0.021116912},"labels":[],"label_agreement":null},{"id":"W4417121949","doi":"10.1080/23249935.2025.2599392","title":"Modelling the stochastic charging behaviour of electric vehicles: a validated framework with user charging data","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Discovery Eye Foundation","keywords":"Measure (data warehouse); Stochastic process; Noise (video); Stochastic modelling; Work (physics)","score_opus":0.016044950547575702,"score_gpt":0.23486960779071267,"score_spread":0.21882465724313696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417121949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48622048,0.0002964184,0.50593936,0.00046047123,0.00005923457,0.00018285814,0.004113253,0.0006294915,0.0020984393],"genre_scores_gemma":[0.96302295,0.00018989165,0.0319879,0.000057056557,0.0000290802,0.00013487581,0.003361464,0.000037731294,0.0011789821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900717,0.00046882906,0.00007051276,0.00022966851,0.00012993322,0.000093956914],"domain_scores_gemma":[0.9964604,0.0024120319,0.00034981247,0.00034192126,0.00035203816,0.00008371038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026437214,0.0005725021,0.0006460404,0.0007508075,0.00027049257,0.0010632323,0.0019259792,0.0013674443,0.0008982487],"category_scores_gemma":[0.008889645,0.00044106998,0.0008839841,0.0010540552,0.00064006593,0.0011281269,0.00069092034,0.0010041039,0.0003130444],"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":[0.000038971273,0.000038409915,0.0052013434,0.000026646652,0.000023161349,0.000057174908,0.00003860057,0.98703986,0.00026681862,0.0033826346,0.00031902437,0.003567257],"study_design_scores_gemma":[0.0000035848998,0.00001175078,0.0008589978,0.0000026556827,0.0000028500092,0.000016525566,0.00001275984,0.99764556,0.000105436375,0.0011210941,0.00021381442,0.0000049899822],"about_ca_topic_score_codex":0.021398058,"about_ca_topic_score_gemma":0.015459444,"teacher_disagreement_score":0.021398058,"about_ca_system_score_codex":0.0010224438,"about_ca_system_score_gemma":0.0009967041,"threshold_uncertainty_score":0.042547047},"labels":[],"label_agreement":null},{"id":"W4417169023","doi":"10.1109/access.2025.3642109","title":"Complementary EV Scheduling in Peer-to-Peer Energy Markets","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Waterloo","funders":"American University of Sharjah","keywords":"Minification; Scheduling (production processes); Cost reduction; Binary number; Energy minimization; Limit (mathematics); Reduction (mathematics); Nonlinear system; Energy (signal processing); Optimization problem","score_opus":0.01051206700742451,"score_gpt":0.27245839784870896,"score_spread":0.26194633084128444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417169023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20616816,0.00063500647,0.777612,0.0003547049,0.00017033331,0.00020028984,0.00012715082,0.00070855155,0.01402377],"genre_scores_gemma":[0.95417774,0.0001152944,0.042917423,0.000054216314,0.000027203267,0.000048552676,0.00004744153,0.000056298464,0.0025557468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994899,0.00019458034,0.000014960674,0.000108010434,0.00009315007,0.00009925745],"domain_scores_gemma":[0.9993538,0.00036967994,0.000052944535,0.00005817926,0.00010217109,0.00006314908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010001251,0.00054523326,0.0010249531,0.00025699148,0.00061650923,0.00092082407,0.0014354255,0.000980329,0.0027752817],"category_scores_gemma":[0.0017802878,0.0003219349,0.00038175035,0.00045233118,0.0004891332,0.0014448274,0.0009059755,0.0006262906,0.0003903664],"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":[0.00019202867,0.00009460978,0.00036381502,0.00006579403,0.000023379716,0.00013337779,0.000057210404,0.9511751,0.0018046635,0.0106353015,0.0014089828,0.034045614],"study_design_scores_gemma":[0.000014310684,0.000039070266,0.00007477154,0.0000018106596,0.00000337255,0.000028785376,0.000029271963,0.99414515,0.00048684128,0.0045725415,0.00060003233,0.000004053673],"about_ca_topic_score_codex":0.0030436201,"about_ca_topic_score_gemma":0.0032749884,"teacher_disagreement_score":0.0030436201,"about_ca_system_score_codex":0.0005449945,"about_ca_system_score_gemma":0.00094228773,"threshold_uncertainty_score":0.009284258},"labels":[],"label_agreement":null},{"id":"W4417171399","doi":"10.48550/arxiv.2504.20790","title":"Charge Schedule Optimization and Infrastructure Planning for Solar-Integrated Electric Bus Transit Systems","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Schedule; Renewable energy; Photovoltaic system; Linear programming; Stochastic programming; Grid; Integer programming; Solar power; Energy storage","score_opus":0.011225001334399163,"score_gpt":0.21966052633876393,"score_spread":0.20843552500436477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417171399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.495365,0.0008999551,0.47858188,0.0008724091,0.00010471375,0.0004178408,0.0019922915,0.0008338462,0.02093208],"genre_scores_gemma":[0.9627027,0.00024272536,0.03197914,0.000044196953,0.0000169288,0.00010610593,0.00061300537,0.00006252511,0.0042326245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996997,0.00011581024,0.000008216432,0.000047007685,0.000043579195,0.000085702886],"domain_scores_gemma":[0.99956125,0.00024778285,0.00005870873,0.00001539783,0.00006556825,0.00005125088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005764318,0.00095315755,0.0007582042,0.00076135487,0.00047642775,0.00096064486,0.00067025726,0.0006024503,0.00482305],"category_scores_gemma":[0.001406578,0.00075111445,0.00070708786,0.0013073301,0.0004323157,0.00077397877,0.0004949209,0.00074296404,0.00021003344],"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":[0.000012214452,0.000008928345,0.00020049684,0.0000096199665,0.000005851148,0.000011263184,0.0000049533887,0.99750584,0.00007126704,0.0006205428,0.00013505417,0.0014139768],"study_design_scores_gemma":[0.0000065215704,0.000013034058,0.0001490692,0.0000014278224,0.0000032904134,0.00000238888,0.00001111518,0.9989221,0.000063869695,0.0006244132,0.00020084932,0.0000018838558],"about_ca_topic_score_codex":0.103998005,"about_ca_topic_score_gemma":0.116142854,"teacher_disagreement_score":0.103998005,"about_ca_system_score_codex":0.0029765803,"about_ca_system_score_gemma":0.0027716006,"threshold_uncertainty_score":0.20678532},"labels":[],"label_agreement":null},{"id":"W4417201548","doi":"10.1109/tits.2025.3640509","title":"An Intelligent Vehicle-to-Building Energy Trading System Using Transfer Learning and Blockchain","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Algoma University; Thompson Rivers University","funders":"","keywords":"Blockchain; Database transaction; Energy (signal processing); Efficient energy use; Energy consumption; Convergence (economics); Smart grid; Energy management; Resource (disambiguation)","score_opus":0.011533296869956595,"score_gpt":0.2448256567283593,"score_spread":0.2332923598584027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417201548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19536549,0.00029051813,0.7879654,0.00052895985,0.00009666595,0.0002981576,0.00011506198,0.0024458028,0.0128939655],"genre_scores_gemma":[0.97466815,0.000054911776,0.023099935,0.000041968666,0.000009167652,0.00009192012,0.000055240635,0.000014114068,0.0019646396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995851,0.000109876564,0.00003004474,0.00009092284,0.00010958846,0.0000745076],"domain_scores_gemma":[0.9994399,0.00021895801,0.000057460795,0.00009970236,0.000096421536,0.000087602544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006864834,0.00047482352,0.0006784726,0.00030184494,0.00079207926,0.00082875096,0.0013218562,0.0007821315,0.0031075855],"category_scores_gemma":[0.0012195227,0.00022956995,0.00027882998,0.00041331846,0.0005906074,0.001681234,0.0016508374,0.0006435746,0.00046823255],"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":[0.00047801356,0.00036490473,0.002356673,0.00013011122,0.000064400694,0.00065594964,0.00020683059,0.8341108,0.012686942,0.014165979,0.0018486724,0.13293079],"study_design_scores_gemma":[0.000022704857,0.000065582186,0.00009090045,0.000003016392,0.0000048273105,0.00003059106,0.000009868924,0.9951742,0.0015650635,0.002491188,0.0005357414,0.0000062590266],"about_ca_topic_score_codex":0.003403628,"about_ca_topic_score_gemma":0.00306793,"teacher_disagreement_score":0.003403628,"about_ca_system_score_codex":0.00062379456,"about_ca_system_score_gemma":0.0011519481,"threshold_uncertainty_score":0.0103958845},"labels":[],"label_agreement":null},{"id":"W4417208590","doi":"10.1016/j.enconman.2025.120885","title":"Sustainable electrification of road transport in cold regions: A decision support framework for optimal energy mix – Insights from Alaska","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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 Calgary; Laurentian University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Pacific Northwest Research Station; U.S. Forest Service","keywords":"Electrification; Renewable energy; Electricity; Electricity generation; Greenhouse gas; Sustainability; Energy mix; Decision support system; Fossil fuel","score_opus":0.0031271071619861945,"score_gpt":0.19242015388342967,"score_spread":0.18929304672144348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417208590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3365913,0.0017918462,0.58983684,0.0037014165,0.00012278045,0.000255697,0.0006877238,0.00021432393,0.06679807],"genre_scores_gemma":[0.9370114,0.0008099789,0.05777748,0.0000801689,0.00002917665,0.00014323213,0.00017148985,0.000025896728,0.003951213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938524,0.00031462658,0.00002582632,0.00009049811,0.00010132303,0.00008249776],"domain_scores_gemma":[0.9990736,0.0005895652,0.00008202572,0.00002038964,0.00014206604,0.000092233495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017224968,0.0012766157,0.0009054871,0.0008853547,0.0008433174,0.003136389,0.0010666187,0.0014463189,0.0031605389],"category_scores_gemma":[0.0021590302,0.0005767241,0.0014152458,0.0008688705,0.0010615598,0.0016045917,0.001646374,0.0016371974,0.00016088356],"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":[0.000017516084,0.000036565787,0.0004788214,0.000038428137,0.000021585278,0.00012503333,0.000065181084,0.976765,0.00027166246,0.0190708,0.00017886044,0.0029305194],"study_design_scores_gemma":[0.000010629077,0.000029362547,0.00019129082,0.00003060545,0.000016629328,0.000011573017,0.00013605061,0.9844162,0.00015518616,0.013985323,0.0010052824,0.000011899938],"about_ca_topic_score_codex":0.03580616,"about_ca_topic_score_gemma":0.028421842,"teacher_disagreement_score":0.03580616,"about_ca_system_score_codex":0.0032378016,"about_ca_system_score_gemma":0.0038432865,"threshold_uncertainty_score":0.07119548},"labels":[],"label_agreement":null},{"id":"W4417260347","doi":"10.1016/j.jobe.2025.114916","title":"Performance assessment of grid-connected PV-battery-EV integration in rural residential net-zero energy building","year":2025,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Renewable energy; Flexibility (engineering); Photovoltaics; Greenhouse gas; Energy consumption; Electricity; Grid; Resilience (materials science)","score_opus":0.0027672735349644627,"score_gpt":0.213650689664268,"score_spread":0.21088341612930353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417260347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685305,0.000027700537,0.0015376147,0.000015112172,0.0000036225622,0.000010344916,0.00006862131,0.00008340599,0.001400597],"genre_scores_gemma":[0.99947387,0.000008644754,0.00020459051,0.0000024152882,5.766333e-7,0.0000020518294,0.00003172102,0.0000036201834,0.00027262233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981827,0.00005075972,0.00000696592,0.000037089394,0.00004429635,0.00004261206],"domain_scores_gemma":[0.9997441,0.00007555551,0.000022371769,0.000021436628,0.000105686886,0.00003074312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022431112,0.0003792383,0.00033043866,0.00025327588,0.00026685238,0.0005224001,0.0005399269,0.0003973339,0.002168244],"category_scores_gemma":[0.00033970686,0.00012572067,0.00023072705,0.00033249616,0.0002181268,0.00032482675,0.00028909638,0.00021263865,0.00038182113],"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":[0.008643241,0.001225656,0.054905154,0.0005181589,0.00025796564,0.0010675654,0.0003298775,0.63255936,0.23635723,0.0011430413,0.0012980838,0.06169466],"study_design_scores_gemma":[0.00024056139,0.006690043,0.07990118,0.000029931109,0.0002717868,0.00039176203,0.00066610094,0.79854983,0.11125978,0.0005164419,0.0014372037,0.000045412376],"about_ca_topic_score_codex":0.0045220973,"about_ca_topic_score_gemma":0.006172261,"teacher_disagreement_score":0.0045220973,"about_ca_system_score_codex":0.00033561303,"about_ca_system_score_gemma":0.00017888531,"threshold_uncertainty_score":0.0089915395},"labels":[],"label_agreement":null},{"id":"W4417343077","doi":"10.1088/2515-7620/ae2cf1","title":"Modelling the ‘S curve’: transition dynamics in EV adoption","year":2025,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"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 Calgary","funders":"Environment and Climate Change Canada","keywords":"Greenhouse gas; Battery (electricity); System dynamics; Sustainability; Transition (genetics); Sustainable transport; Dynamics (music); Energy transition; Public opinion","score_opus":0.0264101795569776,"score_gpt":0.2888383406943563,"score_spread":0.2624281611373787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417343077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.886261,0.00035101068,0.08789124,0.002396523,0.00005633416,0.00009655178,0.00073291856,0.00012570096,0.022088792],"genre_scores_gemma":[0.9929777,0.00013506605,0.0031517239,0.000053106225,0.0000072941198,0.000045721306,0.00012956625,0.000017517668,0.00348227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961287,0.00016901064,0.000015584572,0.00007426167,0.000037699432,0.00009061374],"domain_scores_gemma":[0.9966968,0.0023913807,0.00043879965,0.000106158936,0.00022967515,0.00013722929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011216624,0.00046876262,0.00041677232,0.00048469243,0.00035293607,0.0016183847,0.0008498265,0.0017459872,0.005832593],"category_scores_gemma":[0.009160066,0.00034090743,0.0008632364,0.00043995236,0.0008324918,0.0017773354,0.0010897419,0.0013557677,0.0005597813],"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":[0.000090665635,0.00010535066,0.020902583,0.00007608333,0.000036670153,0.00027952026,0.00072131417,0.92689323,0.0007534563,0.042274628,0.0011929786,0.0066734487],"study_design_scores_gemma":[0.0000063591947,0.000024776573,0.0021976004,0.0000144904125,0.000007172645,0.000016170483,0.00019524297,0.9899305,0.00006987943,0.006801544,0.00072555785,0.000010603212],"about_ca_topic_score_codex":0.03465954,"about_ca_topic_score_gemma":0.015671164,"teacher_disagreement_score":0.03465954,"about_ca_system_score_codex":0.001538185,"about_ca_system_score_gemma":0.0010430679,"threshold_uncertainty_score":0.068915606},"labels":[],"label_agreement":null},{"id":"W4417525382","doi":"10.1007/978-981-95-1826-5_47","title":"Dynamic Simulation of Integrated PV-Powered Energy Storage and Electric Vehicle Systems for Sustainable Residential Buildings in Southern Italy","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Medical Association","funders":"","keywords":"Renewable energy; Photovoltaic system; Grid; Payback period; Greenhouse gas; Electric vehicle; Energy storage; Efficient energy use; System dynamics; Energy (signal processing)","score_opus":0.0025026710096557273,"score_gpt":0.18137555430784488,"score_spread":0.17887288329818915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417525382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512754,0.000224229,0.009191328,0.00033337346,0.000042802567,0.000032003936,0.0007961664,0.00034984935,0.03775504],"genre_scores_gemma":[0.99581534,0.00004132409,0.0007501926,0.000018175171,0.0000035032106,0.000017879778,0.00016313861,0.000023817833,0.003166646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993086,0.000021029802,0.000002481713,0.000012203438,0.000011870615,0.000021524362],"domain_scores_gemma":[0.9998505,0.00008197498,0.000013426417,0.0000088094,0.000027013046,0.000018164157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014729827,0.0004897434,0.0007365138,0.00034858266,0.00046802993,0.00069541135,0.0006372158,0.00086244626,0.005697981],"category_scores_gemma":[0.0004210014,0.0003550319,0.00060049887,0.0005370076,0.0004524409,0.0004380984,0.00040713119,0.00049199944,0.00043205617],"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":[0.000051548956,0.000027169313,0.0009748843,0.00001692134,0.000009182565,0.000058067813,0.000027812632,0.99615234,0.00047528022,0.0004541472,0.00040483897,0.001347745],"study_design_scores_gemma":[0.000018686324,0.000039987484,0.0013586787,0.000004560301,0.000007988409,0.000009861039,0.00006304464,0.9975497,0.0002311231,0.00030017796,0.00041130028,0.000004961791],"about_ca_topic_score_codex":0.04194617,"about_ca_topic_score_gemma":0.036627706,"teacher_disagreement_score":0.04194617,"about_ca_system_score_codex":0.0009672826,"about_ca_system_score_gemma":0.0006612795,"threshold_uncertainty_score":0.083404064},"labels":[],"label_agreement":null},{"id":"W48463598","doi":"10.1007/978-981-287-317-0_8","title":"QoS Schemes for Charging Plug-in Electric Vehicles in a Smart Grid Environment","year":2014,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Electric Vehicles and Infrastructure","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 Ottawa","funders":"","keywords":"Smart grid; Quality of service; Wireless; Battery (electricity); Computer science; Grid; Computer network; Demand response; Vehicle-to-grid; Electric vehicle; Electricity; Engineering; Telecommunications; Electrical engineering; Power (physics)","score_opus":0.006075399979659784,"score_gpt":0.17394565657742103,"score_spread":0.16787025659776125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W48463598","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025635421,0.012564904,0.85105693,0.0024931368,0.0023200659,0.00015218621,0.00014088863,0.0011803032,0.1044561],"genre_scores_gemma":[0.82137996,0.007785395,0.10309597,0.00059592695,0.0010871665,0.000085779764,0.00015747729,0.0002572803,0.065555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999645,0.000073863295,0.00001962266,0.000040565323,0.00015753265,0.00006337909],"domain_scores_gemma":[0.9996176,0.00015128372,0.000022841865,0.00005362796,0.0001312994,0.000023258683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006464047,0.000707101,0.00041938853,0.0003809838,0.00052951433,0.0014849148,0.0013325587,0.00062232453,0.0069218692],"category_scores_gemma":[0.0014571622,0.00018343478,0.00024072248,0.00068054075,0.0006303753,0.0013445471,0.0007453266,0.0012556632,0.001007367],"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":[0.00024824354,0.000104121355,0.00024695735,0.00038562162,0.000028586637,0.00016735311,0.00020016558,0.08281154,0.013369515,0.47590387,0.019788494,0.40674558],"study_design_scores_gemma":[0.00006913984,0.00018458857,0.0005046383,0.00019594636,0.000041965755,0.0006813102,0.00024170615,0.5573246,0.010390799,0.32712835,0.10317741,0.000059623977],"about_ca_topic_score_codex":0.0012665192,"about_ca_topic_score_gemma":0.0014659914,"teacher_disagreement_score":0.0069218692,"about_ca_system_score_codex":0.0015137179,"about_ca_system_score_gemma":0.00040388448,"threshold_uncertainty_score":0.023155928},"labels":[],"label_agreement":null},{"id":"W571624558","doi":"","title":"Canadian truckers run empty into the U.S. as demand dips","year":2011,"lang":"en","type":"article","venue":"Transport topics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Truck; Business; Transport engineering; Forensic engineering; Engineering; Aeronautics; Advertising; Automotive engineering","score_opus":0.006359472120020562,"score_gpt":0.17269774813137012,"score_spread":0.16633827601134957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571624558","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33244672,0.0028336619,0.0020656863,0.049386576,0.0014398319,0.00018831332,0.055913437,0.00068075693,0.55504495],"genre_scores_gemma":[0.6856005,0.0039196177,0.0012956406,0.006068632,0.000092220485,0.000031870215,0.012845318,0.00018736346,0.28995883],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999331,0.000018098019,0.000009157724,0.00004794393,0.0003127494,0.00028105403],"domain_scores_gemma":[0.9987735,0.00003728689,0.00006572548,0.000016620272,0.0008394676,0.00026726903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024766746,0.00042075606,0.00024212846,0.0013817732,0.007333438,0.0037147067,0.00081134465,0.00086343463,0.034897987],"category_scores_gemma":[0.0013140186,0.0003336539,0.00032709714,0.003930666,0.00078972,0.0010020039,0.0009726565,0.0015368996,0.0031310322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022997965,0.00006698064,0.110056385,0.00017862848,0.000051131916,0.00049842335,0.0029646922,0.0019508547,0.00088905316,0.01623158,0.7966204,0.07026189],"study_design_scores_gemma":[0.000038586957,0.000045499775,0.23562519,0.0001730598,0.000060135928,0.00018366038,0.029026086,0.0030839907,0.0011208667,0.0017080137,0.728827,0.00010786299],"about_ca_topic_score_codex":0.9966581,"about_ca_topic_score_gemma":0.9993382,"teacher_disagreement_score":0.04576657,"about_ca_system_score_codex":0.04576657,"about_ca_system_score_gemma":0.06313717,"threshold_uncertainty_score":0.33206123},"labels":[],"label_agreement":null},{"id":"W611406263","doi":"","title":"Consumer Heterogeneity in the Potential Early Mainstream Market for Plug-in Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Market segmentation; Valuation (finance); Alternative fuel vehicle; Mainstream; Willingness to pay; Marketing; Business; Environmental economics; Economics; Engineering; Automotive engineering; Microeconomics","score_opus":0.03471402309493263,"score_gpt":0.3223462062211797,"score_spread":0.28763218312624705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611406263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852055,0.00004280782,0.0002830324,0.00004315315,8.574216e-7,0.000014257051,0.00008721169,0.0000014432477,0.0010067512],"genre_scores_gemma":[0.99953294,0.00001814601,0.00013742947,0.000016693453,0.0000010105579,0.0000057567704,0.000103918304,9.2510805e-7,0.0001832675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993761,0.0001480845,0.000031687476,0.00009361339,0.00023971587,0.0001108168],"domain_scores_gemma":[0.9973659,0.0011903892,0.00056460174,0.0001632403,0.00051046786,0.00020542518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014001376,0.00014031892,0.00023269503,0.00096451544,0.0008605345,0.0014211187,0.000393449,0.00034659178,0.0022897283],"category_scores_gemma":[0.0041236,0.00013258829,0.000466295,0.0010012792,0.00064357056,0.0008128444,0.00084349344,0.00039246096,0.00012902348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005428894,0.00015073383,0.96665823,0.000049539303,0.0001325058,0.00019073194,0.008806639,0.00049764774,0.0013227881,0.0016433359,0.00040953115,0.01959535],"study_design_scores_gemma":[0.000012562402,0.0001048573,0.98180306,0.000027693444,0.00004587123,0.00008362377,0.013688869,0.0015060068,0.00036269645,0.0009253007,0.001418705,0.000020653004],"about_ca_topic_score_codex":0.057468362,"about_ca_topic_score_gemma":0.07810517,"teacher_disagreement_score":0.057468362,"about_ca_system_score_codex":0.0018405688,"about_ca_system_score_gemma":0.0006591364,"threshold_uncertainty_score":0.11426771},"labels":[],"label_agreement":null},{"id":"W638332758","doi":"","title":"Ford’s strategy to introduce hydrogen in passenger transport","year":2006,"lang":"en","type":"article","venue":"TRA - TRANSPORT RESEARCH ARENA EUROPE 2006: GOETEBORG, SWEDEN, JUNE 12TH-15TH 2006: GREENER, SAFER AND SMARTER ROAD TRANSPORT FOR EUROPE. PROCEEDINGS","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Service (business); General partnership; Hydrogen vehicle; Zero emission; Fleet management; Sustainable transport; Green vehicle; Engineering; Fuel cells; Hydrogen fuel; Fuel efficiency; Transport engineering; Business; Automotive engineering; Sustainability; Waste management; Finance; Marketing","score_opus":0.01826221514079661,"score_gpt":0.2535245235676513,"score_spread":0.2352623084268547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638332758","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042849337,0.010708771,0.007698723,0.073242776,0.01587108,0.00037064555,0.0020781064,0.0009900003,0.8847549],"genre_scores_gemma":[0.014977947,0.0043614116,0.00439722,0.016255772,0.0008025164,0.00011816928,0.00076653814,0.00017001404,0.95815045],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812716,0.000103084356,0.000042388005,0.00020865777,0.001123706,0.0003949883],"domain_scores_gemma":[0.9990018,0.000062560895,0.00006559327,0.00006408126,0.00052810507,0.0002778908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015912191,0.0009126163,0.00022437978,0.0008637189,0.0020767436,0.003889596,0.0010356738,0.0062628915,0.04171532],"category_scores_gemma":[0.0018812605,0.00029345145,0.0005175516,0.0008469356,0.0011071075,0.0028105595,0.0022311448,0.0029010233,0.021507962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039931016,0.000065769105,0.0006652441,0.00012653967,0.000008569891,0.00011755421,0.0002111515,0.00023331097,0.0005473292,0.108884044,0.81131035,0.07779023],"study_design_scores_gemma":[0.0000038926373,0.000011664929,0.00022905188,0.00002164806,0.0000011950069,0.000020423582,0.000034927154,0.000023479102,0.00009586954,0.0007862081,0.9987679,0.0000036946108],"about_ca_topic_score_codex":0.10222343,"about_ca_topic_score_gemma":0.09730568,"teacher_disagreement_score":0.10222343,"about_ca_system_score_codex":0.0059933094,"about_ca_system_score_gemma":0.015121856,"threshold_uncertainty_score":0.20325685},"labels":[],"label_agreement":null},{"id":"W6884745541","doi":"10.1184/r1/6703574.v1","title":"Alternative transport fuels for the future","year":2004,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Renewable fuels; Renewable energy; Gasoline; Greenhouse gas; Combustion; Electricity generation; Electricity; Biomass (ecology)","score_opus":0.010573585538613092,"score_gpt":0.20902397942104328,"score_spread":0.1984503938824302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884745541","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012278203,0.07416284,0.009359713,0.0672935,0.007787862,0.00006575302,0.0012910961,0.0004659736,0.82729506],"genre_scores_gemma":[0.12728883,0.10712755,0.012987609,0.005478453,0.0017078436,0.00010929327,0.0020206545,0.00022461974,0.7430551],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987125,0.00001973796,0.000004649976,0.000014800089,0.000056575693,0.000032886328],"domain_scores_gemma":[0.9998548,0.000008732684,0.000011995504,0.000017383021,0.00007535589,0.00003170525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023466685,0.00040365008,0.00017909815,0.0006473671,0.0010534463,0.0025447346,0.0005128121,0.0015623932,0.07118015],"category_scores_gemma":[0.00042300197,0.00009214191,0.00028450412,0.0009520539,0.0003790095,0.0037002023,0.0011811486,0.00095460523,0.013219532],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008177407,0.000082849016,0.00075077725,0.00060633465,0.00001910125,0.00042858525,0.0003373231,0.0020346618,0.0030009274,0.34860831,0.26745045,0.3765989],"study_design_scores_gemma":[0.0000018006564,0.000011742405,0.00015437434,0.00015855195,0.0000042972356,0.00008012365,0.0002832552,0.00023283901,0.00024630208,0.018778235,0.98004365,0.0000048854763],"about_ca_topic_score_codex":0.00475543,"about_ca_topic_score_gemma":0.0127938725,"teacher_disagreement_score":0.07118015,"about_ca_system_score_codex":0.0014780345,"about_ca_system_score_gemma":0.0019808684,"threshold_uncertainty_score":0.23812133},"labels":[],"label_agreement":null},{"id":"W6887142062","doi":"10.15468/dl.pzc5r6","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","score_opus":0.007890224119051763,"score_gpt":0.18850995290827288,"score_spread":0.1806197287892211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887142062","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000051578772,0.000030752748,0.00005251718,0.00003965468,0.000013159871,0.000006054097,0.9986572,0.0005009459,0.00064807344],"genre_scores_gemma":[0.0001522462,0.000029120276,0.00019347931,0.000040223516,0.000003063412,0.00003660811,0.99901617,0.00013854919,0.00039054107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989894,0.00013824085,0.00012643579,0.00034593817,0.00023322641,0.00016681028],"domain_scores_gemma":[0.9978484,0.00058319094,0.00019643502,0.0005773827,0.0005492946,0.0002453486],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009717751,0.002183407,0.0015688168,0.004652409,0.001076453,0.002543867,0.0030894307,0.0022659407,0.12258694],"category_scores_gemma":[0.0056119417,0.0009014875,0.0012660385,0.008941102,0.00048347702,0.002232061,0.0025464746,0.0022073435,0.1953543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032520424,0.000013453058,0.00039320532,0.00050801755,0.000015508138,0.000017489696,0.000025503454,0.00014884611,0.00012405393,0.00039548075,0.9968947,0.0014311551],"study_design_scores_gemma":[0.00007722489,0.0000086229775,0.0018588529,0.00017771611,0.000014438181,0.000041172465,0.00007899276,0.00019991393,0.00020912573,0.00079307077,0.99652267,0.000018205677],"about_ca_topic_score_codex":0.025304036,"about_ca_topic_score_gemma":0.04166099,"teacher_disagreement_score":0.87741303,"about_ca_system_score_codex":0.0017121335,"about_ca_system_score_gemma":0.0023692744,"threshold_uncertainty_score":0.41009414},"labels":[],"label_agreement":null},{"id":"W6888791806","doi":"10.22008/fk2/cs5lka/9a8eiq","title":"c50vgbw3.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.015834813541742876,"score_gpt":0.22463423329575538,"score_spread":0.2087994197540125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888791806","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028411838,0.000022297538,0.000034609122,0.000025759697,0.000012104697,0.000004130361,0.9989311,0.0005915877,0.00034996835],"genre_scores_gemma":[0.00011887397,0.000026569483,0.00013996736,0.000022437833,0.0000037445348,0.000028343202,0.99921584,0.00017391615,0.00027031565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986094,0.00020258638,0.00014925537,0.00046201848,0.00030036335,0.00027629655],"domain_scores_gemma":[0.99769634,0.00060283364,0.00015929248,0.0007249715,0.000587799,0.00022884933],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011231733,0.004028638,0.002389219,0.00580832,0.0011011998,0.0038264953,0.004479122,0.003557225,0.18905988],"category_scores_gemma":[0.0070255143,0.0012766898,0.0018893884,0.012081726,0.00068331254,0.0023721096,0.0026943972,0.0023255001,0.29230696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023049539,0.000007916625,0.00015081489,0.0003057973,0.00001527845,0.0000067728824,0.00001014186,0.00017900183,0.00004279781,0.00019480917,0.99832135,0.00074231566],"study_design_scores_gemma":[0.00026339092,0.000012838664,0.0014522633,0.00021259478,0.00003039043,0.000033956072,0.00007145809,0.0005329416,0.00024739513,0.0013553756,0.9957545,0.000032997752],"about_ca_topic_score_codex":0.038915146,"about_ca_topic_score_gemma":0.051267896,"teacher_disagreement_score":0.81094015,"about_ca_system_score_codex":0.0015502735,"about_ca_system_score_gemma":0.0028043187,"threshold_uncertainty_score":0.63246834},"labels":[],"label_agreement":null},{"id":"W6891687135","doi":"10.4224/40003217","title":"Electrification of transit in a canadian operating environment: summary of stakeholder experience and consultations","year":2024,"lang":"en","type":"article","venue":"NPARC","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Transport Canada","funders":"National Research Council Canada","keywords":"Electrification; Pace; Transit (satellite); Stakeholder; Public transport; Government (linguistics); Electricity","score_opus":0.009419982827025709,"score_gpt":0.19677505183053498,"score_spread":0.18735506900350926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6891687135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96066177,0.0006318305,0.0003544109,0.0043307906,0.00005067402,0.000111136425,0.00019189727,0.0000171914,0.0336504],"genre_scores_gemma":[0.9909827,0.00088680093,0.00030068145,0.00055896636,0.000007822354,0.000034284203,0.00008607548,0.000014296157,0.007128358],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9950695,0.0016343198,0.00011275483,0.00028719293,0.0010575878,0.0018385791],"domain_scores_gemma":[0.992773,0.002226237,0.00031119763,0.00010871579,0.0026024543,0.0019782952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044122473,0.00046741514,0.00041562726,0.0013243575,0.022225838,0.004318051,0.0012970009,0.001768627,0.0032647327],"category_scores_gemma":[0.008064783,0.00027139412,0.00031931835,0.0030224838,0.004764807,0.0017872306,0.005168013,0.0018731083,0.00016795227],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011794937,0.00007952902,0.013746488,0.0002597274,0.000011136915,0.0026603178,0.95408446,0.00034289953,0.0012811064,0.0027749552,0.004527362,0.020114155],"study_design_scores_gemma":[0.000003382803,0.00003112813,0.00782832,0.00006895139,0.0000048799875,0.000140119,0.9667498,0.000127386,0.00013116222,0.00009567002,0.024798514,0.00002071497],"about_ca_topic_score_codex":0.9322306,"about_ca_topic_score_gemma":0.97499895,"teacher_disagreement_score":0.06776941,"about_ca_system_score_codex":0.04665843,"about_ca_system_score_gemma":0.06619622,"threshold_uncertainty_score":0.33853215},"labels":[],"label_agreement":null},{"id":"W6893591751","doi":"10.5281/zenodo.16653520","title":"Fleet Electrification of British Columbia","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electrification; Documentation; License; Population; Process (computing); Code (set theory)","score_opus":0.007930143514109837,"score_gpt":0.19626064686905603,"score_spread":0.1883305033549462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893591751","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013197394,0.000081676786,0.00004747447,0.000047711805,0.000014877683,0.000006115042,0.9956304,0.00018400005,0.0026679982],"genre_scores_gemma":[0.0033723377,0.00009809936,0.00016145031,0.000020497444,0.0000027880285,0.000022832603,0.993188,0.000038503702,0.0030954236],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972254,0.00001720251,0.000017892096,0.000082184575,0.000093507246,0.000066581255],"domain_scores_gemma":[0.9991517,0.00005366619,0.000045058914,0.00012363929,0.00053759344,0.000088434695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022411722,0.0010820801,0.00058689294,0.0032479824,0.0007189658,0.0013661732,0.0012400043,0.000521932,0.024062146],"category_scores_gemma":[0.0014533291,0.00036057096,0.00043460215,0.007410618,0.0002029113,0.00056590425,0.00061462424,0.0010912773,0.0192197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047650596,0.000014957677,0.0045420737,0.00024022492,0.00003869598,0.000040815205,0.000029143841,0.0015122042,0.00010402231,0.00058464165,0.98721075,0.005634841],"study_design_scores_gemma":[0.00006546772,0.000009564571,0.049502853,0.00035578315,0.00003411929,0.00007271517,0.00031392093,0.0032301492,0.0006727071,0.0007993343,0.94489825,0.00004523012],"about_ca_topic_score_codex":0.8302361,"about_ca_topic_score_gemma":0.91099817,"teacher_disagreement_score":0.16976392,"about_ca_system_score_codex":0.0059899725,"about_ca_system_score_gemma":0.0055086105,"threshold_uncertainty_score":0.34152734},"labels":[],"label_agreement":null},{"id":"W6893620166","doi":"10.5281/zenodo.4021396","title":"Driving transportation electrification forward - Quebec's success in leading transportation electrification in Canada -","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Mandate; Incentive; Incentive program; Climate change; Rural electrification; Electricity","score_opus":0.01028685093658969,"score_gpt":0.18941605072642362,"score_spread":0.17912919978983394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893620166","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23816119,0.013232021,0.007433618,0.15197046,0.0026713826,0.0005340972,0.0135889435,0.0013680988,0.5710402],"genre_scores_gemma":[0.6784996,0.0050531076,0.007396894,0.0126339,0.00009751309,0.00010330668,0.0035980546,0.0002586215,0.292359],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99819946,0.00013026895,0.000030457704,0.00013700197,0.0007990961,0.00070378295],"domain_scores_gemma":[0.99699736,0.00010125227,0.000058275135,0.00005403392,0.0018529879,0.0009360854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013181927,0.00043526548,0.0002501195,0.00082338654,0.008982338,0.005109134,0.0010769187,0.0013636922,0.0109133115],"category_scores_gemma":[0.0026022568,0.0002338331,0.00049067143,0.0016858862,0.0013350256,0.0011112351,0.0016353537,0.0018274132,0.0012399259],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037701984,0.00029930373,0.0666793,0.0007490451,0.00017323793,0.002021456,0.004691792,0.007532099,0.0044654454,0.111067146,0.5681373,0.23380685],"study_design_scores_gemma":[0.00007473131,0.00009132595,0.08867093,0.00043411256,0.000056263485,0.0002800131,0.006349739,0.0040068086,0.0018090345,0.0024176757,0.8956845,0.00012489683],"about_ca_topic_score_codex":0.9978588,"about_ca_topic_score_gemma":0.99927515,"teacher_disagreement_score":0.097650714,"about_ca_system_score_codex":0.097650714,"about_ca_system_score_gemma":0.20994127,"threshold_uncertainty_score":0.70850885},"labels":[],"label_agreement":null},{"id":"W6901663325","doi":"10.60692/pxhzk-e1s61","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01427071206038458,"score_gpt":0.16809706833233498,"score_spread":0.1538263562719504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901663325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2636502,0.00021710304,0.731983,0.00010581848,0.000017468568,0.00006199965,0.00006517292,0.00025172724,0.0036474715],"genre_scores_gemma":[0.98841196,0.000028567752,0.011202518,0.000005017908,0.0000043326186,0.000014025291,0.000014586611,0.0000073187894,0.00031170124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997136,0.000109852335,0.000010222771,0.00007252823,0.000042860887,0.00005089565],"domain_scores_gemma":[0.9992399,0.00042880865,0.00018621775,0.000040947398,0.000068686495,0.000035460856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005835143,0.0008134514,0.00051050895,0.00035365246,0.00022949115,0.0007921431,0.00052096724,0.00031729697,0.00054595893],"category_scores_gemma":[0.0015904383,0.00034746208,0.00026305165,0.0003022118,0.0003617804,0.0006581073,0.00045790483,0.00034919783,0.00007114229],"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":[0.000034395245,0.0000125441475,0.000416671,0.000008640365,0.000009284897,0.000020837493,0.000012033094,0.9916225,0.00091466424,0.00083472196,0.00005025048,0.006063383],"study_design_scores_gemma":[0.0000050656554,0.000026356136,0.00017443992,0.000001628687,0.000005837299,0.000005487909,0.000008378492,0.9985025,0.00062563294,0.00056332885,0.0000788916,0.000002580598],"about_ca_topic_score_codex":0.00462829,"about_ca_topic_score_gemma":0.0041828617,"teacher_disagreement_score":0.00462829,"about_ca_system_score_codex":0.0006661707,"about_ca_system_score_gemma":0.00056670123,"threshold_uncertainty_score":0.009202719},"labels":[],"label_agreement":null},{"id":"W6901750509","doi":"10.60692/7ngky-m0846","title":"Development in Electric Vehicle Intention and Adoption: Integrating the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) and Religiosity","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Religiosity; Unified theory of acceptance and use of technology; Sustainability; Electric vehicle; Greenhouse gas; Expectancy theory; Quarter (Canadian coin)","score_opus":0.014239285503511863,"score_gpt":0.18396269459019615,"score_spread":0.1697234090866843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901750509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853535,0.00035864394,0.0048402348,0.00047698338,0.00001527577,0.00006216798,0.00006256326,0.000016273447,0.008814319],"genre_scores_gemma":[0.9981298,0.0001630231,0.0012929697,0.000031808537,0.0000028950335,0.000026078671,0.000035555142,0.0000018331276,0.00031615183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988236,0.0005917384,0.000089097666,0.00011711121,0.00024850058,0.00012999066],"domain_scores_gemma":[0.9932601,0.003529505,0.0016516036,0.0002685738,0.00086005527,0.0004300947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023489727,0.00033131178,0.00020869637,0.0008278551,0.00030698677,0.0013836517,0.00028389852,0.00047430734,0.0017041261],"category_scores_gemma":[0.005853861,0.00021650566,0.00073172024,0.0007744794,0.00082889386,0.0011808262,0.0009899159,0.0009675126,0.000150446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005450495,0.00049951277,0.92895824,0.0001714583,0.00014872226,0.0002634897,0.008833189,0.0011381577,0.00067983114,0.008980008,0.0003283045,0.0499445],"study_design_scores_gemma":[0.000016498476,0.00056009926,0.96362656,0.00037634425,0.00016684335,0.00033837938,0.011878183,0.013634785,0.0007923752,0.0054169805,0.0031493583,0.000043554],"about_ca_topic_score_codex":0.004596926,"about_ca_topic_score_gemma":0.005316314,"teacher_disagreement_score":0.004596926,"about_ca_system_score_codex":0.00089804205,"about_ca_system_score_gemma":0.0013553951,"threshold_uncertainty_score":0.01242274},"labels":[],"label_agreement":null},{"id":"W6901777140","doi":"10.60692/361nm-fnh82","title":"A novel on intelligent energy control strategy for micro grids with renewables and EVs","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Laval","funders":"","keywords":"Smart grid; Energy management; Renewable energy; Scheduling (production processes); Energy storage; Grid; Fuzzy logic; Optimal control; Energy management system","score_opus":0.012756962609785304,"score_gpt":0.17930724837630369,"score_spread":0.16655028576651837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901777140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0607102,0.0009697566,0.9000492,0.000629714,0.0003184102,0.0001601322,0.000118280775,0.0010034784,0.036040936],"genre_scores_gemma":[0.9576749,0.00024021722,0.032678254,0.00016577872,0.00006830643,0.00010497737,0.00006434971,0.000030506686,0.008972731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998172,0.000016259777,0.000011675202,0.00006589023,0.00005126034,0.00003769912],"domain_scores_gemma":[0.9998925,0.000019514671,0.00002355805,0.000008404489,0.000043750682,0.0000122855845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022311663,0.0006392877,0.0006012697,0.00033242043,0.00056502066,0.0009724698,0.0009437613,0.00055218046,0.0034491513],"category_scores_gemma":[0.00025177782,0.00019339638,0.00044123377,0.00029311198,0.00032123373,0.00059936417,0.00069395325,0.00039079663,0.00041643693],"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":[0.00032287743,0.0002049277,0.0020791863,0.00025585297,0.00010105973,0.0005879858,0.00018025968,0.7383402,0.026012229,0.022919832,0.0060813255,0.20291424],"study_design_scores_gemma":[0.000012780413,0.00007895753,0.00025973233,0.000009042356,0.00001762858,0.00004264646,0.000017289654,0.99422085,0.0015271069,0.0017961997,0.0020103124,0.000007569711],"about_ca_topic_score_codex":0.005031208,"about_ca_topic_score_gemma":0.0063435216,"teacher_disagreement_score":0.005031208,"about_ca_system_score_codex":0.0005312263,"about_ca_system_score_gemma":0.00058080925,"threshold_uncertainty_score":0.011538506},"labels":[],"label_agreement":null},{"id":"W6902420380","doi":"10.6084/m9.figshare.26124115","title":"Does digitalisation affect the adoption of electric vehicles? New regional-level evidence from Google Trends data","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Dimension (graph theory); Gross domestic product; The Internet; Product (mathematics); Affect (linguistics)","score_opus":0.07859729606635381,"score_gpt":0.27020074325358945,"score_spread":0.19160344718723565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902420380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96017563,0.005202665,0.0010887677,0.0023443685,0.000057400346,0.000016520486,0.01878669,0.00005539032,0.012272589],"genre_scores_gemma":[0.9904885,0.0014305193,0.00037468795,0.00011747934,0.000045694942,0.000006814376,0.0069944137,0.000017201934,0.0005245663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985814,0.0004226314,0.00016092177,0.00030878236,0.00032429313,0.00020196072],"domain_scores_gemma":[0.97936535,0.0074599953,0.0073347357,0.0016943536,0.0035725995,0.0005729101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016154365,0.00024716312,0.00040491705,0.0026625076,0.00026161352,0.0015333776,0.0005359838,0.00037314728,0.0023141],"category_scores_gemma":[0.010735457,0.00015264093,0.0009792225,0.007837242,0.00065950525,0.0015279853,0.0011713593,0.0008434344,0.00069823273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016577065,0.000040459137,0.97353834,0.0003948649,0.00041301272,0.00031802038,0.0012783956,0.0019248042,0.00031022,0.0020030579,0.0055820597,0.014031168],"study_design_scores_gemma":[0.00000908073,0.00003724182,0.98245186,0.0001280297,0.00029234355,0.000091249916,0.0028390943,0.001636024,0.0003816775,0.0002817743,0.011826531,0.000025110483],"about_ca_topic_score_codex":0.15117808,"about_ca_topic_score_gemma":0.13786112,"teacher_disagreement_score":0.15117808,"about_ca_system_score_codex":0.0008390388,"about_ca_system_score_gemma":0.0007883004,"threshold_uncertainty_score":0.30059624},"labels":[],"label_agreement":null},{"id":"W6902976403","doi":"10.1016/j.jpowsour.2025.237882","title":"A hybrid deep learning model for load forecasting of electric vehicle charging stations using time series decomposition","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council of Science and Technology; Chinese Academy of Sciences; Science, Technology and Innovation Commission of Shenzhen Municipality; Canadian Anesthesiologists' Society","keywords":"Robustness (evolution); Benchmark (surveying); Hilbert–Huang transform; Noise (video); Series (stratigraphy); Electric vehicle; Generalization; Time series","score_opus":0.006870213476454338,"score_gpt":0.22569058563635844,"score_spread":0.2188203721599041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902976403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21276462,0.00079089205,0.7785559,0.000591785,0.00019649178,0.000029374696,0.00060498854,0.0010904114,0.0053755534],"genre_scores_gemma":[0.9734995,0.00021660174,0.020398675,0.00009032043,0.00004773904,0.000033391163,0.00048398116,0.000033833454,0.00519608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990296,0.000016840726,0.000006264435,0.000030356321,0.000020088428,0.000023427143],"domain_scores_gemma":[0.99980456,0.00007868687,0.000020448113,0.000015373553,0.0000640106,0.000016933209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033526702,0.00045989823,0.00064110925,0.00033501684,0.0002183195,0.00058236497,0.00082329666,0.00068195025,0.0016636257],"category_scores_gemma":[0.00063037773,0.00036288105,0.0004874376,0.0004540291,0.00020369016,0.0006785008,0.00040889397,0.0010644632,0.00037877797],"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":[0.00003812002,0.00004564197,0.0008136809,0.000012935281,0.000026147238,0.000023826613,0.000008231125,0.97234255,0.0007514328,0.0012216469,0.0007037109,0.024012055],"study_design_scores_gemma":[5.1865385e-7,0.0000012759401,0.000037522266,4.2862646e-7,8.6733183e-7,6.408907e-7,3.3757465e-7,0.9997632,0.000033992197,0.0001383858,0.000022389271,4.9497277e-7],"about_ca_topic_score_codex":0.023272224,"about_ca_topic_score_gemma":0.020067705,"teacher_disagreement_score":0.023272224,"about_ca_system_score_codex":0.000628538,"about_ca_system_score_gemma":0.000743123,"threshold_uncertainty_score":0.04627353},"labels":[],"label_agreement":null},{"id":"W6902997729","doi":"10.1021/acs.est.0c07639.s001","title":"Health\\nand Climate Incentives for the Deployment of\\nCleaner On-Road Vehicle Technologies","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Truck; Software deployment; Public transport; Population; Incentive; Greenhouse gas; Public health","score_opus":0.017747356167549452,"score_gpt":0.24280578370943964,"score_spread":0.2250584275418902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902997729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60706806,0.0025182783,0.014199997,0.01713602,0.00054673647,0.00063640106,0.016009081,0.0004847266,0.34140065],"genre_scores_gemma":[0.95498705,0.0006827167,0.0029823028,0.00085196394,0.00010571577,0.00008146217,0.0021421385,0.000026624344,0.038140032],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999108,0.0003517086,0.000018499746,0.000057861103,0.0002126409,0.00025132135],"domain_scores_gemma":[0.9980755,0.0004975967,0.00040876033,0.00014177205,0.00054162537,0.00033476145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009121582,0.00020269066,0.00010674323,0.0005064592,0.00034675063,0.0010509989,0.00038200666,0.0006141239,0.014037219],"category_scores_gemma":[0.0035720738,0.000121639976,0.00036461232,0.00056520134,0.00040860326,0.00045688392,0.00066091213,0.00038908052,0.000765533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010181223,0.00039951393,0.45626083,0.000913056,0.00026672642,0.00046248263,0.00080579176,0.048743088,0.0045868605,0.09859536,0.11779255,0.2701556],"study_design_scores_gemma":[0.00013217964,0.00043548935,0.77986526,0.0002837048,0.00014674677,0.00011748477,0.000944231,0.010756819,0.0020844783,0.0062280567,0.19896686,0.000038662496],"about_ca_topic_score_codex":0.17406961,"about_ca_topic_score_gemma":0.5329209,"teacher_disagreement_score":0.17406961,"about_ca_system_score_codex":0.004230348,"about_ca_system_score_gemma":0.0051909685,"threshold_uncertainty_score":0.34611285},"labels":[],"label_agreement":null},{"id":"W6903181054","doi":"10.1184/r1/6703574","title":"Alternative transport fuels for the future","year":2004,"lang":"en","type":"article","venue":"KiltHub Repository","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Renewable fuels; Renewable energy; Gasoline; Greenhouse gas; Combustion; Electricity generation; Electricity; Biomass (ecology)","score_opus":0.003514740982971684,"score_gpt":0.18821204826758972,"score_spread":0.18469730728461803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903181054","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010704222,0.081141986,0.008204022,0.067321114,0.008652334,0.00007058395,0.0015592057,0.000497831,0.82184875],"genre_scores_gemma":[0.100041725,0.11760151,0.011416665,0.0049554524,0.0017371452,0.0001101575,0.0022901327,0.00023328041,0.76161397],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998628,0.000021106647,0.0000053884887,0.000015755139,0.00006092652,0.00003410004],"domain_scores_gemma":[0.9998456,0.000008443935,0.000011983616,0.000018704768,0.000082729464,0.000032438504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024727176,0.00043086975,0.00019406433,0.00072057534,0.0011194727,0.0028089883,0.0005541603,0.0015977451,0.080591336],"category_scores_gemma":[0.00044988692,0.00009933386,0.00030363878,0.0010858233,0.00037230548,0.003885425,0.0012291851,0.0009951812,0.01565134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000829999,0.00008581184,0.00071996875,0.0006680732,0.000018759149,0.00043798584,0.00034310154,0.0019312702,0.0026045928,0.31436637,0.30824623,0.37049478],"study_design_scores_gemma":[0.0000016303352,0.000010150577,0.00013331712,0.00016747293,0.000004142912,0.00007018186,0.00025924845,0.00019366102,0.0002118957,0.015526398,0.98341745,0.00000451621],"about_ca_topic_score_codex":0.005598259,"about_ca_topic_score_gemma":0.014601832,"teacher_disagreement_score":0.080591336,"about_ca_system_score_codex":0.001624431,"about_ca_system_score_gemma":0.0022385144,"threshold_uncertainty_score":0.26960486},"labels":[],"label_agreement":null},{"id":"W6905556383","doi":"10.15468/dl.7qrbgm","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); The Internet; Order (exchange)","score_opus":0.005860643384661192,"score_gpt":0.18424107915334714,"score_spread":0.17838043576868595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6905556383","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000060203864,0.00003312948,0.000048814312,0.000041460382,0.000012906472,0.000005877557,0.99869764,0.00044646498,0.00065349275],"genre_scores_gemma":[0.0001762942,0.000033534343,0.00019658638,0.000042876276,0.0000032450366,0.000037446927,0.9989668,0.00012455515,0.00041858613],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990295,0.00013697841,0.00012787215,0.0003304123,0.00021911644,0.00015601111],"domain_scores_gemma":[0.9979091,0.0005938582,0.00019417923,0.000549344,0.0005217158,0.00023171828],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000871044,0.0020526736,0.001532037,0.0047750906,0.0010473621,0.0024455274,0.002814416,0.0022253012,0.1170217],"category_scores_gemma":[0.0053468053,0.00085801916,0.0012615354,0.009089674,0.0004518065,0.0022442567,0.0024140875,0.0020348965,0.17640999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003382932,0.000014129446,0.0004682295,0.0005476685,0.000016393742,0.0000200233,0.000026924235,0.0001565107,0.00012176168,0.00040205717,0.9967249,0.0014675887],"study_design_scores_gemma":[0.00008112862,0.000009324476,0.002204367,0.00019327352,0.000015540016,0.000048309397,0.00008897006,0.00021582347,0.00020177965,0.00075588474,0.9961669,0.000018716846],"about_ca_topic_score_codex":0.026022373,"about_ca_topic_score_gemma":0.044092745,"teacher_disagreement_score":0.8829783,"about_ca_system_score_codex":0.0016600966,"about_ca_system_score_gemma":0.002305611,"threshold_uncertainty_score":0.39147663},"labels":[],"label_agreement":null},{"id":"W6906807791","doi":"10.18280/ijsdp.200605","title":"Planning of Electric Vehicle Charging Infrastructure: A Review and a Conceptual Framework Based on Spatial and Predictive Analysis","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Conceptual framework; Conceptual design; Component (thermodynamics); Conceptual model","score_opus":0.004123018771759026,"score_gpt":0.22864792683804758,"score_spread":0.22452490806628855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906807791","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007734487,0.98711824,0.007940197,0.0013880376,0.00014969712,0.000044265576,0.00012455443,0.000024604185,0.0024368751],"genre_scores_gemma":[0.009341058,0.98508334,0.0049470263,0.00018008167,0.00012163527,0.00005059441,0.00009700874,0.000006800334,0.00017253467],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979259,0.0008517029,0.0003889282,0.00025884667,0.0004924307,0.000082319806],"domain_scores_gemma":[0.9877809,0.009858981,0.00085753115,0.00017641856,0.0012320448,0.000094157665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036907115,0.0015841939,0.0017577015,0.008703876,0.00049913593,0.0032890819,0.0025140115,0.0016802897,0.0026168867],"category_scores_gemma":[0.0105418665,0.0008528498,0.0017077536,0.01680044,0.0013383618,0.0035665315,0.0009826673,0.0013886,0.0005384317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062947955,0.00009534863,0.0019934592,0.10880421,0.0005674632,0.00032392773,0.000713653,0.030399824,0.00038601834,0.0704764,0.015552957,0.77062374],"study_design_scores_gemma":[0.000040998642,0.00027416582,0.0054514846,0.18880235,0.0019919898,0.0012041504,0.002159864,0.018831631,0.0012143913,0.06292247,0.7169048,0.0002016433],"about_ca_topic_score_codex":0.012415175,"about_ca_topic_score_gemma":0.015431847,"teacher_disagreement_score":0.012415175,"about_ca_system_score_codex":0.0034735599,"about_ca_system_score_gemma":0.007877836,"threshold_uncertainty_score":0.025202572},"labels":[],"label_agreement":null},{"id":"W6918200561","doi":"10.5878/r1kq-0f98","title":"Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden - Hydrogeological modeling of an area prone to quick-clay landslides in southwest Sweden","year":2019,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landslide; Hydrogeology; Reflection (computer programming); Sedimentary rock; Sequence (biology); Electrical resistivity tomography","score_opus":0.041777531675721596,"score_gpt":0.28525978207418196,"score_spread":0.24348225039846036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6918200561","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15428561,0.00034881732,0.0004050259,0.00022320224,0.00004111564,0.000030072244,0.84239227,0.00050521793,0.0017687016],"genre_scores_gemma":[0.06603934,0.00019384286,0.001066923,0.000027970116,0.00001447771,0.00007060419,0.9315064,0.00003806835,0.0010423942],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.0000216182,0.000020085643,0.000048022397,0.00003073609,0.00003884272],"domain_scores_gemma":[0.99973434,0.00004506275,0.000041621977,0.000046628804,0.000088677945,0.00004371432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027914252,0.0006456403,0.00050511246,0.0021753884,0.00032296413,0.00069556944,0.0008191629,0.0007109044,0.0024078395],"category_scores_gemma":[0.0006019162,0.00024322797,0.00057674287,0.0027280347,0.00022371885,0.0002899595,0.000600981,0.0003357103,0.0032296218],"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":[0.0008986198,0.00063734205,0.25813308,0.0018679291,0.0005934718,0.0032746247,0.0011104969,0.05663556,0.003420883,0.0019069081,0.62447894,0.047042232],"study_design_scores_gemma":[0.00054772606,0.0001271229,0.5718001,0.0006386746,0.00021675043,0.0010664542,0.0035347298,0.04236285,0.002648947,0.0014136558,0.37547848,0.00016459085],"about_ca_topic_score_codex":0.06590637,"about_ca_topic_score_gemma":0.09038457,"teacher_disagreement_score":0.06590637,"about_ca_system_score_codex":0.0007529972,"about_ca_system_score_gemma":0.00072056777,"threshold_uncertainty_score":0.13104552},"labels":[],"label_agreement":null},{"id":"W6920424994","doi":"10.60692/8qah2-4p910","title":"Development in Electric Vehicle Intention and Adoption: Integrating the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) and Religiosity","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Religiosity; Unified theory of acceptance and use of technology; Sustainability; Electric vehicle; Greenhouse gas; Expectancy theory; Quarter (Canadian coin)","score_opus":0.014239285503511863,"score_gpt":0.18396269459019615,"score_spread":0.1697234090866843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920424994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853535,0.00035864394,0.0048402348,0.00047698338,0.00001527577,0.00006216798,0.00006256326,0.000016273447,0.008814319],"genre_scores_gemma":[0.9981298,0.0001630231,0.0012929697,0.000031808537,0.0000028950335,0.000026078671,0.000035555142,0.0000018331276,0.00031615183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988236,0.0005917384,0.000089097666,0.00011711121,0.00024850058,0.00012999066],"domain_scores_gemma":[0.9932601,0.003529505,0.0016516036,0.0002685738,0.00086005527,0.0004300947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023489727,0.00033131178,0.00020869637,0.0008278551,0.00030698677,0.0013836517,0.00028389852,0.00047430734,0.0017041261],"category_scores_gemma":[0.005853861,0.00021650566,0.00073172024,0.0007744794,0.00082889386,0.0011808262,0.0009899159,0.0009675126,0.000150446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005450495,0.00049951277,0.92895824,0.0001714583,0.00014872226,0.0002634897,0.008833189,0.0011381577,0.00067983114,0.008980008,0.0003283045,0.0499445],"study_design_scores_gemma":[0.000016498476,0.00056009926,0.96362656,0.00037634425,0.00016684335,0.00033837938,0.011878183,0.013634785,0.0007923752,0.0054169805,0.0031493583,0.000043554],"about_ca_topic_score_codex":0.004596926,"about_ca_topic_score_gemma":0.005316314,"teacher_disagreement_score":0.004596926,"about_ca_system_score_codex":0.00089804205,"about_ca_system_score_gemma":0.0013553951,"threshold_uncertainty_score":0.01242274},"labels":[],"label_agreement":null},{"id":"W6920706382","doi":"10.6084/m9.figshare.25730245","title":"Life cycle thinking-based analysis of diesel and electric-powered buses for Canadian transit systems","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Electricity; Sustainability; Life-cycle assessment; Greenhouse gas; Total cost of ownership; Public transport; Consumption (sociology); Production (economics)","score_opus":0.009453540009973534,"score_gpt":0.2030691719728609,"score_spread":0.19361563196288736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920706382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85284036,0.0013554718,0.042334266,0.0011338261,0.0000448629,0.0005740425,0.003977753,0.000098746066,0.09764062],"genre_scores_gemma":[0.9802203,0.0005580044,0.012000509,0.000041727384,0.000004394801,0.00007603468,0.0013989473,0.00002062734,0.0056792907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995721,0.000075966724,0.000010747097,0.00003586129,0.00014040971,0.00016494715],"domain_scores_gemma":[0.9994856,0.00011978633,0.00003636602,0.000011196358,0.00029086586,0.00005622111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008237644,0.0008355738,0.00031319543,0.0027413734,0.0014483209,0.0025299534,0.0008085037,0.00044266848,0.003340596],"category_scores_gemma":[0.0011419501,0.0002381933,0.0011358925,0.00234965,0.00070012506,0.00069750944,0.0006334948,0.0005832671,0.00013382519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112684604,0.000090880465,0.023027012,0.0002114304,0.00011256936,0.0003807357,0.00069368945,0.8847452,0.0022204996,0.054037187,0.0024629524,0.031905178],"study_design_scores_gemma":[0.00002010375,0.00010685358,0.040934946,0.00010708832,0.00016205222,0.00005167496,0.0034585665,0.9276938,0.0015830742,0.012790969,0.013005072,0.000085754444],"about_ca_topic_score_codex":0.93586135,"about_ca_topic_score_gemma":0.9518028,"teacher_disagreement_score":0.06413865,"about_ca_system_score_codex":0.042070717,"about_ca_system_score_gemma":0.02648046,"threshold_uncertainty_score":0.30524582},"labels":[],"label_agreement":null},{"id":"W6920974245","doi":"10.6084/m9.figshare.26579885","title":"Additional file 1 of Flexible electric vehicle charging and its role in variable renewable energy integration","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Duration (music); Table (database); Schedule; Scheduling (production processes); Mode (computer interface); Work (physics)","score_opus":0.006739842476869198,"score_gpt":0.20452997493870081,"score_spread":0.1977901324618316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920974245","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019204237,0.000021887701,0.00032610763,0.00023522905,0.000028785771,0.00007525028,0.996015,0.000121909936,0.0029836409],"genre_scores_gemma":[0.014549203,0.0002934358,0.0048103374,0.00079462474,0.00014789929,0.0019004424,0.9545493,0.00086522097,0.022089532],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897003,0.00027087826,0.00014786981,0.00019090317,0.00028600817,0.00013429564],"domain_scores_gemma":[0.98135895,0.012462057,0.00094992045,0.0009543734,0.003917923,0.0003568043],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002144648,0.0007041305,0.00080840016,0.0016731302,0.00066819845,0.0017464892,0.0017681043,0.00097375014,0.8228471],"category_scores_gemma":[0.03396957,0.00040701128,0.0008083385,0.0047366703,0.00014678595,0.0020500936,0.0010571012,0.0010226853,0.1724826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009206496,0.00003174149,0.0017752673,0.0006476643,0.000012446039,0.000026080717,0.000039940256,0.0005839319,0.000017090651,0.0014603639,0.9887186,0.0065947105],"study_design_scores_gemma":[0.0011910889,0.00010380489,0.022906983,0.0023818428,0.00006730458,0.00013646393,0.00080624246,0.0034091866,0.0002706925,0.010267423,0.9583919,0.00006699745],"about_ca_topic_score_codex":0.034630783,"about_ca_topic_score_gemma":0.03266235,"teacher_disagreement_score":0.8228471,"about_ca_system_score_codex":0.0018867762,"about_ca_system_score_gemma":0.0029416585,"threshold_uncertainty_score":0.25268698},"labels":[],"label_agreement":null},{"id":"W6921595847","doi":"10.1016/j.techfore.2025.124276","title":"The optimal timing of clean technology adoption: A stochastic cost–benefit analysis","year":2025,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"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":"Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Magyar Tudományos Akadémia; National Research, Development and Innovation Office; Egg Farmers of Canada","keywords":"Incentive; Volatility (finance); Renewable energy; Clean energy; Stochastic programming; Dynamic programming; Sustainable development; Energy (signal processing)","score_opus":0.03487471483009929,"score_gpt":0.24900540826007828,"score_spread":0.21413069342997898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921595847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11692736,0.001142742,0.8646428,0.0022053276,0.00011319648,0.0002627746,0.00075300736,0.00023784715,0.013714959],"genre_scores_gemma":[0.9507264,0.0015158494,0.038586948,0.00028707914,0.000103654274,0.00030484167,0.00034228739,0.00008577243,0.008047173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984195,0.00067233207,0.00006130726,0.00031168142,0.0002284731,0.00030664538],"domain_scores_gemma":[0.9910966,0.0070613967,0.0009468384,0.0002158643,0.00036749043,0.00031185205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042277495,0.0014075395,0.001947036,0.0013564664,0.00060642615,0.0023421973,0.0017910721,0.0026284168,0.0073092827],"category_scores_gemma":[0.015807416,0.0011846117,0.0015942035,0.0009234138,0.0016557887,0.002861614,0.0013761898,0.0026133573,0.000567864],"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":[0.000085688516,0.0000688287,0.0017428414,0.00009984354,0.0000632314,0.000118572665,0.000058594367,0.90544933,0.0011230316,0.08452276,0.00094345515,0.0057238294],"study_design_scores_gemma":[0.000024945344,0.0000864237,0.00092240237,0.00003096733,0.000051992993,0.000056412027,0.000042932712,0.96151847,0.00025297818,0.03614262,0.00083821017,0.00003172829],"about_ca_topic_score_codex":0.0073208,"about_ca_topic_score_gemma":0.003509367,"teacher_disagreement_score":0.0073208,"about_ca_system_score_codex":0.0026199229,"about_ca_system_score_gemma":0.0026367025,"threshold_uncertainty_score":0.02445203},"labels":[],"label_agreement":null},{"id":"W6938864623","doi":"10.60692/dxw86-tg986","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01427071206038458,"score_gpt":0.16809706833233498,"score_spread":0.1538263562719504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6938864623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2636502,0.00021710304,0.731983,0.00010581848,0.000017468568,0.00006199965,0.00006517292,0.00025172724,0.0036474715],"genre_scores_gemma":[0.98841196,0.000028567752,0.011202518,0.000005017908,0.0000043326186,0.000014025291,0.000014586611,0.0000073187894,0.00031170124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997136,0.000109852335,0.000010222771,0.00007252823,0.000042860887,0.00005089565],"domain_scores_gemma":[0.9992399,0.00042880865,0.00018621775,0.000040947398,0.000068686495,0.000035460856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005835143,0.0008134514,0.00051050895,0.00035365246,0.00022949115,0.0007921431,0.00052096724,0.00031729697,0.00054595893],"category_scores_gemma":[0.0015904383,0.00034746208,0.00026305165,0.0003022118,0.0003617804,0.0006581073,0.00045790483,0.00034919783,0.00007114229],"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":[0.000034395245,0.0000125441475,0.000416671,0.000008640365,0.000009284897,0.000020837493,0.000012033094,0.9916225,0.00091466424,0.00083472196,0.00005025048,0.006063383],"study_design_scores_gemma":[0.0000050656554,0.000026356136,0.00017443992,0.000001628687,0.000005837299,0.000005487909,0.000008378492,0.9985025,0.00062563294,0.00056332885,0.0000788916,0.000002580598],"about_ca_topic_score_codex":0.00462829,"about_ca_topic_score_gemma":0.0041828617,"teacher_disagreement_score":0.00462829,"about_ca_system_score_codex":0.0006661707,"about_ca_system_score_gemma":0.00056670123,"threshold_uncertainty_score":0.009202719},"labels":[],"label_agreement":null},{"id":"W6939064757","doi":"10.60692/e37de-arx17","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01885931142389268,"score_gpt":0.169884570686088,"score_spread":0.15102525926219532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939064757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26407468,0.00021671026,0.73152816,0.00010627117,0.000017464225,0.000061838684,0.00006510913,0.00025208812,0.0036776788],"genre_scores_gemma":[0.98842305,0.000028459901,0.011190631,0.000005017342,0.0000043191767,0.000013933433,0.000014509578,0.0000072722564,0.00031288207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00010960977,0.00001017951,0.00007216202,0.000042748674,0.000050644612],"domain_scores_gemma":[0.99924374,0.00042643194,0.00018547302,0.00004083871,0.00006825143,0.000035262627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058147643,0.0008092059,0.0005081003,0.0003522243,0.00022955704,0.0007892317,0.00052079593,0.00031651114,0.0005480032],"category_scores_gemma":[0.001583121,0.00034592446,0.00026219257,0.00030159383,0.000361339,0.0006570115,0.00045767485,0.00034841354,0.00007138401],"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":[0.00003438948,0.000012561856,0.00041583786,0.000008608988,0.0000092573755,0.00002078088,0.0000120045,0.991601,0.0009127718,0.0008394914,0.000050379713,0.006082882],"study_design_scores_gemma":[0.000005064476,0.000026365264,0.0001742527,0.0000016222183,0.0000058072933,0.0000054794004,0.0000083745845,0.9985025,0.000624434,0.0005643134,0.000079352554,0.0000025729828],"about_ca_topic_score_codex":0.0046242103,"about_ca_topic_score_gemma":0.004186371,"teacher_disagreement_score":0.0046242103,"about_ca_system_score_codex":0.00066602055,"about_ca_system_score_gemma":0.0005651634,"threshold_uncertainty_score":0.0091946125},"labels":[],"label_agreement":null},{"id":"W6939183342","doi":"10.60692/rt2bn-vmq79","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01885931142389268,"score_gpt":0.169884570686088,"score_spread":0.15102525926219532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939183342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26407468,0.00021671026,0.73152816,0.00010627117,0.000017464225,0.000061838684,0.00006510913,0.00025208812,0.0036776788],"genre_scores_gemma":[0.98842305,0.000028459901,0.011190631,0.000005017342,0.0000043191767,0.000013933433,0.000014509578,0.0000072722564,0.00031288207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00010960977,0.00001017951,0.00007216202,0.000042748674,0.000050644612],"domain_scores_gemma":[0.99924374,0.00042643194,0.00018547302,0.00004083871,0.00006825143,0.000035262627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058147643,0.0008092059,0.0005081003,0.0003522243,0.00022955704,0.0007892317,0.00052079593,0.00031651114,0.0005480032],"category_scores_gemma":[0.001583121,0.00034592446,0.00026219257,0.00030159383,0.000361339,0.0006570115,0.00045767485,0.00034841354,0.00007138401],"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":[0.00003438948,0.000012561856,0.00041583786,0.000008608988,0.0000092573755,0.00002078088,0.0000120045,0.991601,0.0009127718,0.0008394914,0.000050379713,0.006082882],"study_design_scores_gemma":[0.000005064476,0.000026365264,0.0001742527,0.0000016222183,0.0000058072933,0.0000054794004,0.0000083745845,0.9985025,0.000624434,0.0005643134,0.000079352554,0.0000025729828],"about_ca_topic_score_codex":0.0046242103,"about_ca_topic_score_gemma":0.004186371,"teacher_disagreement_score":0.0046242103,"about_ca_system_score_codex":0.00066602055,"about_ca_system_score_gemma":0.0005651634,"threshold_uncertainty_score":0.0091946125},"labels":[],"label_agreement":null},{"id":"W6957604479","doi":"10.60692/1dxdb-gaj40","title":"Seasonality Effect Analysis and Recognition of Charging Behaviors of Electric Vehicles: A Data Science Approach","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Random forest; Principal component analysis; Benchmark (surveying); Linear regression; Mean squared error; Mean absolute percentage error; Ensemble learning; Work (physics); Regression","score_opus":0.026431512469458785,"score_gpt":0.20761666668065556,"score_spread":0.18118515421119677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957604479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86626244,0.0008296207,0.110508755,0.0016205432,0.00014964315,0.0001873932,0.014036234,0.00064998923,0.0057553956],"genre_scores_gemma":[0.955364,0.00032821816,0.03203733,0.000079180536,0.00006722894,0.00009913863,0.010808318,0.000021901753,0.0011947071],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949884,0.00013953673,0.000061191364,0.00016247215,0.000096891454,0.00004096672],"domain_scores_gemma":[0.99844164,0.00071756786,0.00024701768,0.0002623428,0.00029375197,0.000037697337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010243147,0.00047308236,0.00035416646,0.0021110917,0.00032223706,0.0009700943,0.0004948732,0.0006640029,0.00076751545],"category_scores_gemma":[0.0029086277,0.00016458955,0.0006937674,0.001895441,0.00028371182,0.0008154619,0.00042031208,0.0006393483,0.00032076277],"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":[0.00041418473,0.0011423276,0.5155606,0.00036929402,0.0004159565,0.00049746817,0.000618207,0.17925571,0.008932614,0.005275882,0.010804198,0.27671346],"study_design_scores_gemma":[0.000013472124,0.00019045934,0.2533528,0.000057279765,0.00007628017,0.00020132733,0.0010565319,0.72782135,0.005336674,0.004506664,0.00734135,0.00004586206],"about_ca_topic_score_codex":0.013153233,"about_ca_topic_score_gemma":0.017302599,"teacher_disagreement_score":0.013153233,"about_ca_system_score_codex":0.0007365222,"about_ca_system_score_gemma":0.0005338216,"threshold_uncertainty_score":0.026153326},"labels":[],"label_agreement":null},{"id":"W6957915810","doi":"10.60692/hfkzb-a7n73","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01427071206038458,"score_gpt":0.16809706833233498,"score_spread":0.1538263562719504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957915810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2636502,0.00021710304,0.731983,0.00010581848,0.000017468568,0.00006199965,0.00006517292,0.00025172724,0.0036474715],"genre_scores_gemma":[0.98841196,0.000028567752,0.011202518,0.000005017908,0.0000043326186,0.000014025291,0.000014586611,0.0000073187894,0.00031170124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997136,0.000109852335,0.000010222771,0.00007252823,0.000042860887,0.00005089565],"domain_scores_gemma":[0.9992399,0.00042880865,0.00018621775,0.000040947398,0.000068686495,0.000035460856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005835143,0.0008134514,0.00051050895,0.00035365246,0.00022949115,0.0007921431,0.00052096724,0.00031729697,0.00054595893],"category_scores_gemma":[0.0015904383,0.00034746208,0.00026305165,0.0003022118,0.0003617804,0.0006581073,0.00045790483,0.00034919783,0.00007114229],"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":[0.000034395245,0.0000125441475,0.000416671,0.000008640365,0.000009284897,0.000020837493,0.000012033094,0.9916225,0.00091466424,0.00083472196,0.00005025048,0.006063383],"study_design_scores_gemma":[0.0000050656554,0.000026356136,0.00017443992,0.000001628687,0.000005837299,0.000005487909,0.000008378492,0.9985025,0.00062563294,0.00056332885,0.0000788916,0.000002580598],"about_ca_topic_score_codex":0.00462829,"about_ca_topic_score_gemma":0.0041828617,"teacher_disagreement_score":0.00462829,"about_ca_system_score_codex":0.0006661707,"about_ca_system_score_gemma":0.00056670123,"threshold_uncertainty_score":0.009202719},"labels":[],"label_agreement":null},{"id":"W6958159546","doi":"10.60692/070ym-45p12","title":"Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Distributed generation; Renewable energy; Electricity generation; Voltage; Linear programming; Single-phase electric power; Electric power","score_opus":0.01427071206038458,"score_gpt":0.16809706833233498,"score_spread":0.1538263562719504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958159546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2636502,0.00021710304,0.731983,0.00010581848,0.000017468568,0.00006199965,0.00006517292,0.00025172724,0.0036474715],"genre_scores_gemma":[0.98841196,0.000028567752,0.011202518,0.000005017908,0.0000043326186,0.000014025291,0.000014586611,0.0000073187894,0.00031170124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997136,0.000109852335,0.000010222771,0.00007252823,0.000042860887,0.00005089565],"domain_scores_gemma":[0.9992399,0.00042880865,0.00018621775,0.000040947398,0.000068686495,0.000035460856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005835143,0.0008134514,0.00051050895,0.00035365246,0.00022949115,0.0007921431,0.00052096724,0.00031729697,0.00054595893],"category_scores_gemma":[0.0015904383,0.00034746208,0.00026305165,0.0003022118,0.0003617804,0.0006581073,0.00045790483,0.00034919783,0.00007114229],"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":[0.000034395245,0.0000125441475,0.000416671,0.000008640365,0.000009284897,0.000020837493,0.000012033094,0.9916225,0.00091466424,0.00083472196,0.00005025048,0.006063383],"study_design_scores_gemma":[0.0000050656554,0.000026356136,0.00017443992,0.000001628687,0.000005837299,0.000005487909,0.000008378492,0.9985025,0.00062563294,0.00056332885,0.0000788916,0.000002580598],"about_ca_topic_score_codex":0.00462829,"about_ca_topic_score_gemma":0.0041828617,"teacher_disagreement_score":0.00462829,"about_ca_system_score_codex":0.0006661707,"about_ca_system_score_gemma":0.00056670123,"threshold_uncertainty_score":0.009202719},"labels":[],"label_agreement":null},{"id":"W6958229458","doi":"10.6084/m9.figshare.26124115.v1","title":"Does digitalisation affect the adoption of electric vehicles? New regional-level evidence from Google Trends data","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Dimension (graph theory); Gross domestic product; The Internet; Product (mathematics); Affect (linguistics)","score_opus":0.07859729606635381,"score_gpt":0.27020074325358945,"score_spread":0.19160344718723565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958229458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96017563,0.005202665,0.0010887677,0.0023443685,0.000057400346,0.000016520486,0.01878669,0.00005539032,0.012272589],"genre_scores_gemma":[0.9904885,0.0014305193,0.00037468795,0.00011747934,0.000045694942,0.000006814376,0.0069944137,0.000017201934,0.0005245663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985814,0.0004226314,0.00016092177,0.00030878236,0.00032429313,0.00020196072],"domain_scores_gemma":[0.97936535,0.0074599953,0.0073347357,0.0016943536,0.0035725995,0.0005729101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016154365,0.00024716312,0.00040491705,0.0026625076,0.00026161352,0.0015333776,0.0005359838,0.00037314728,0.0023141],"category_scores_gemma":[0.010735457,0.00015264093,0.0009792225,0.007837242,0.00065950525,0.0015279853,0.0011713593,0.0008434344,0.00069823273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016577065,0.000040459137,0.97353834,0.0003948649,0.00041301272,0.00031802038,0.0012783956,0.0019248042,0.00031022,0.0020030579,0.0055820597,0.014031168],"study_design_scores_gemma":[0.00000908073,0.00003724182,0.98245186,0.0001280297,0.00029234355,0.000091249916,0.0028390943,0.001636024,0.0003816775,0.0002817743,0.011826531,0.000025110483],"about_ca_topic_score_codex":0.15117808,"about_ca_topic_score_gemma":0.13786112,"teacher_disagreement_score":0.15117808,"about_ca_system_score_codex":0.0008390388,"about_ca_system_score_gemma":0.0007883004,"threshold_uncertainty_score":0.30059624},"labels":[],"label_agreement":null},{"id":"W6964002870","doi":"10.25316/ir-20367","title":"Analyzing the Role of Fast Charging Infrastructure on EV Adoption in Multi-Unit Residential Buildings: An Analysis Using Structural Equation Modelling","year":2025,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Control (management); Work (physics); Psychological intervention; Theory of planned behavior; Key (lock)","score_opus":0.023973312023962093,"score_gpt":0.29037786357777434,"score_spread":0.26640455155381226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964002870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980313,0.00007938216,0.0010234722,0.00016839583,0.0000057094408,0.00003244709,0.00013622748,0.000008201688,0.00051489926],"genre_scores_gemma":[0.9977349,0.00017489142,0.0012831489,0.000026022426,0.0000045496045,0.00005038242,0.000299667,0.000004074072,0.0004223992],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978986,0.0010682925,0.00010806887,0.00017415512,0.00029836298,0.00045255315],"domain_scores_gemma":[0.99144816,0.005992826,0.0011120684,0.00035847854,0.00068712904,0.0004013475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035656434,0.00058208697,0.0006391963,0.0014407157,0.0009841687,0.001728993,0.001015882,0.00089240767,0.0025930775],"category_scores_gemma":[0.01088816,0.0005262862,0.0024978942,0.0018751981,0.0006029805,0.0009489987,0.0016755085,0.001639578,0.00028709677],"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":[0.00009612967,0.00043763177,0.9773062,0.00006653306,0.00044661007,0.00013098857,0.0035144265,0.0061294325,0.0003043836,0.001394737,0.00026703754,0.009905884],"study_design_scores_gemma":[0.000041037878,0.0006042567,0.8743659,0.00020717138,0.0005619463,0.00012207385,0.010972784,0.10942164,0.00039004948,0.0015947928,0.0016635286,0.00005484681],"about_ca_topic_score_codex":0.17126252,"about_ca_topic_score_gemma":0.16611539,"teacher_disagreement_score":0.17126252,"about_ca_system_score_codex":0.0028656702,"about_ca_system_score_gemma":0.0050785164,"threshold_uncertainty_score":0.3405313},"labels":[],"label_agreement":null},{"id":"W6965109767","doi":"10.3390/en18143588","title":"Battery Electric Vehicles in Underground Mining: Benefits, Challenges, and Safety Considerations","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"Higher Education Discipline Innovation Project","keywords":"Battery (electricity); Greenhouse gas; Quality (philosophy); Underground mining (soft rock); Air quality index; Thermal runaway","score_opus":0.010600705193799837,"score_gpt":0.2012129494018092,"score_spread":0.19061224420800937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965109767","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3530424,0.16524248,0.12677059,0.0696118,0.001584454,0.00023101184,0.00024129586,0.00023656581,0.28303948],"genre_scores_gemma":[0.89897376,0.065387726,0.011969517,0.0008868253,0.00029847166,0.000045632816,0.000075261334,0.0000284449,0.02233436],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923956,0.00020926716,0.00002499316,0.000048584272,0.00037654585,0.00010101257],"domain_scores_gemma":[0.99946564,0.00017211144,0.000057327514,0.000023547704,0.0002515574,0.000029853367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092049775,0.000311098,0.0002154472,0.0005048941,0.0006233191,0.0018254964,0.0006576881,0.0013382458,0.002567002],"category_scores_gemma":[0.00091823906,0.00011050891,0.00021919112,0.00050758186,0.00077025715,0.002182596,0.0011840475,0.00069308776,0.0006219729],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002740444,0.00020947089,0.017641768,0.002981333,0.00005873275,0.0026556167,0.0015700866,0.021484552,0.035558123,0.15355532,0.012779575,0.7512314],"study_design_scores_gemma":[0.000025405985,0.001333255,0.0098774,0.0027293607,0.000098469965,0.0051972885,0.017801773,0.020396044,0.049088333,0.10461371,0.7887409,0.000097963784],"about_ca_topic_score_codex":0.0014696677,"about_ca_topic_score_gemma":0.0040969127,"teacher_disagreement_score":0.002567002,"about_ca_system_score_codex":0.0006861175,"about_ca_system_score_gemma":0.0010549754,"threshold_uncertainty_score":0.00858742},"labels":[],"label_agreement":null},{"id":"W6968197644","doi":"10.5281/zenodo.13694675","title":"jackagoldman/Forest_Snow_Fire: Data and code to analyze the direct and indirect effects of forest structure and snow cover on wildfire burn severity","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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 Toronto","funders":"","keywords":"Forest structure; Snow cover; Taiga; Snow; Forest cover; Boreal","score_opus":0.009600761701398806,"score_gpt":0.21271869979428637,"score_spread":0.20311793809288756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968197644","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031535164,0.00006431936,0.02342533,0.00023092596,0.00015195592,0.00049821363,0.8710673,0.056088928,0.016937887],"genre_scores_gemma":[0.09119701,0.00008880535,0.051397834,0.00021601659,0.000061185616,0.0019047252,0.8141393,0.023850087,0.017145086],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994461,0.00006685652,0.00005429179,0.00012075064,0.00021092752,0.00010106543],"domain_scores_gemma":[0.9983889,0.0005169683,0.00020608741,0.0003549977,0.0003718237,0.00016123283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010165843,0.0011064053,0.00045409103,0.0014099731,0.00045043192,0.0005778347,0.001319413,0.00040009583,0.049206194],"category_scores_gemma":[0.0031068085,0.0007902944,0.0009259462,0.001225163,0.00030249602,0.0007152215,0.0006621823,0.00075542973,0.020783762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009724094,0.00029220062,0.04685196,0.00036872385,0.00019524325,0.00018913142,0.00035715284,0.0120889405,0.004883181,0.0025424566,0.88841915,0.042839576],"study_design_scores_gemma":[0.0017637104,0.00026735515,0.21569681,0.00023772438,0.0001809269,0.0004089724,0.0004404403,0.09388599,0.030016681,0.0065729544,0.6502186,0.000309887],"about_ca_topic_score_codex":0.044017173,"about_ca_topic_score_gemma":0.047168188,"teacher_disagreement_score":0.049206194,"about_ca_system_score_codex":0.0006320456,"about_ca_system_score_gemma":0.0012705595,"threshold_uncertainty_score":0.1646111},"labels":[],"label_agreement":null},{"id":"W6968590980","doi":"10.5281/zenodo.4023327","title":"The Upcoming Global Technical Regulation for Determination of Electrified Vehicle Power (DEVP)","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Environment and Climate Change Canada; U.S. Environmental Protection Agency","keywords":"Powertrain; Power (physics); European commission; Joint (building); European union; Test (biology)","score_opus":0.013846916502060932,"score_gpt":0.21612309181225647,"score_spread":0.20227617531019554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968590980","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043717418,0.010794818,0.32848603,0.008688699,0.0061518373,0.002470864,0.025620582,0.0058523878,0.5682173],"genre_scores_gemma":[0.32446823,0.011491257,0.36738622,0.016756468,0.0015254673,0.0098149665,0.056182254,0.0044785724,0.20789666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900393,0.0017723325,0.0005040876,0.0010838918,0.00581067,0.00078965665],"domain_scores_gemma":[0.98916525,0.0022249848,0.0006235448,0.0014090138,0.0063200514,0.00025718132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072541153,0.0010887407,0.00080232933,0.002646051,0.0014001322,0.0025376931,0.0032729434,0.004176527,0.0063171685],"category_scores_gemma":[0.010149863,0.00038499243,0.0011402789,0.002531351,0.0014745123,0.0020230687,0.001988024,0.0030377626,0.0062164417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054770714,0.000513263,0.010621147,0.0022749347,0.00010742121,0.0011604025,0.0011949796,0.010913115,0.054636683,0.21428394,0.36379647,0.33995],"study_design_scores_gemma":[0.000086528904,0.0003668744,0.011823288,0.0010104226,0.000098200006,0.00081465853,0.00029498167,0.0035216147,0.027063359,0.01680722,0.9379915,0.00012131044],"about_ca_topic_score_codex":0.009334952,"about_ca_topic_score_gemma":0.0083163055,"teacher_disagreement_score":0.009334952,"about_ca_system_score_codex":0.0015929313,"about_ca_system_score_gemma":0.0063336496,"threshold_uncertainty_score":0.038363874},"labels":[],"label_agreement":null},{"id":"W6968658251","doi":"10.5281/zenodo.16653521","title":"Fleet Electrification of British Columbia","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electrification; Documentation; License; Population; Process (computing); Code (set theory)","score_opus":0.007930143514109837,"score_gpt":0.19626064686905603,"score_spread":0.1883305033549462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968658251","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013197401,0.000081676786,0.000047474427,0.00004771185,0.000014877683,0.000006115042,0.9956304,0.00018400005,0.0026679991],"genre_scores_gemma":[0.0033723377,0.00009809936,0.00016145015,0.000020497464,0.000002788031,0.000022832624,0.993188,0.000038503666,0.0030954266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972254,0.000017202492,0.000017892096,0.00008218442,0.00009350733,0.000066581255],"domain_scores_gemma":[0.9991517,0.00005366619,0.000045058914,0.00012363929,0.0005375929,0.000088434695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022411722,0.0010820786,0.00058689236,0.0032479824,0.00071896514,0.0013661725,0.0012400043,0.0005219317,0.024062173],"category_scores_gemma":[0.0014533299,0.00036057096,0.0004346019,0.007410618,0.0002029111,0.00056590425,0.0006146245,0.0010912768,0.019219706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047650687,0.0000149576645,0.0045420667,0.00024022516,0.000038695944,0.000040815205,0.000029143841,0.0015122035,0.00010402231,0.00058464194,0.98721075,0.005634841],"study_design_scores_gemma":[0.00006546778,0.000009564571,0.049502853,0.00035578315,0.00003411929,0.00007271517,0.00031392093,0.0032301478,0.00067270745,0.0007993335,0.94489825,0.00004523012],"about_ca_topic_score_codex":0.83023596,"about_ca_topic_score_gemma":0.91099817,"teacher_disagreement_score":0.16976404,"about_ca_system_score_codex":0.0059899753,"about_ca_system_score_gemma":0.0055086105,"threshold_uncertainty_score":0.34152758},"labels":[],"label_agreement":null},{"id":"W6969500002","doi":"10.5281/zenodo.4024456","title":"Charge the North: findings from the complete data set of the world's largest electric vehicle study","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Battery (electricity); Service (business); Electric cars; Charge (physics); Battery electric vehicle; Data collection","score_opus":0.04811240020998252,"score_gpt":0.2249262905107635,"score_spread":0.17681389030078098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969500002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8494368,0.0019606068,0.00063225115,0.004149292,0.00014167279,0.00027879272,0.12508687,0.00006737911,0.018246355],"genre_scores_gemma":[0.8377906,0.0018708436,0.001135426,0.0023926138,0.00016213382,0.0011804422,0.1496106,0.00019798988,0.005659324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961725,0.0013285882,0.00033936833,0.0005809871,0.0011056185,0.0004729711],"domain_scores_gemma":[0.9818763,0.005055362,0.0039489223,0.0023907674,0.005425699,0.0013030529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004378398,0.00035949098,0.0005533108,0.0021108123,0.0010272503,0.0021264218,0.0012949439,0.00069129677,0.0042218356],"category_scores_gemma":[0.021607872,0.0003498159,0.00078041287,0.007247659,0.0005762854,0.002104244,0.0033880328,0.00070559385,0.001583173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038258455,0.00012548873,0.8964976,0.0004862688,0.00029372712,0.00035826382,0.0049292175,0.00019918136,0.000135105,0.0009676186,0.07759429,0.01803068],"study_design_scores_gemma":[0.000037148508,0.000047243015,0.950457,0.0003025657,0.00011232501,0.00025182927,0.011712797,0.00021325097,0.0000947248,0.00028027996,0.036463015,0.00002778778],"about_ca_topic_score_codex":0.09981696,"about_ca_topic_score_gemma":0.16319185,"teacher_disagreement_score":0.09981696,"about_ca_system_score_codex":0.0014226869,"about_ca_system_score_gemma":0.0036637327,"threshold_uncertainty_score":0.19847196},"labels":[],"label_agreement":null},{"id":"W6977143966","doi":"10.6084/m9.figshare.25730245.v1","title":"Life cycle thinking-based analysis of diesel and electric-powered buses for Canadian transit systems","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Electricity; Sustainability; Life-cycle assessment; Greenhouse gas; Total cost of ownership; Public transport; Consumption (sociology); Production (economics)","score_opus":0.009453540009973534,"score_gpt":0.2030691719728609,"score_spread":0.19361563196288736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977143966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85284036,0.0013554718,0.042334266,0.0011338261,0.0000448629,0.0005740425,0.003977753,0.000098746066,0.09764062],"genre_scores_gemma":[0.9802203,0.0005580044,0.012000509,0.000041727384,0.000004394801,0.00007603468,0.0013989473,0.00002062734,0.0056792907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995721,0.000075966724,0.000010747097,0.00003586129,0.00014040971,0.00016494715],"domain_scores_gemma":[0.9994856,0.00011978633,0.00003636602,0.000011196358,0.00029086586,0.00005622111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008237644,0.0008355738,0.00031319543,0.0027413734,0.0014483209,0.0025299534,0.0008085037,0.00044266848,0.003340596],"category_scores_gemma":[0.0011419501,0.0002381933,0.0011358925,0.00234965,0.00070012506,0.00069750944,0.0006334948,0.0005832671,0.00013382519],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112684604,0.000090880465,0.023027012,0.0002114304,0.00011256936,0.0003807357,0.00069368945,0.8847452,0.0022204996,0.054037187,0.0024629524,0.031905178],"study_design_scores_gemma":[0.00002010375,0.00010685358,0.040934946,0.00010708832,0.00016205222,0.00005167496,0.0034585665,0.9276938,0.0015830742,0.012790969,0.013005072,0.000085754444],"about_ca_topic_score_codex":0.93586135,"about_ca_topic_score_gemma":0.9518028,"teacher_disagreement_score":0.06413865,"about_ca_system_score_codex":0.042070717,"about_ca_system_score_gemma":0.02648046,"threshold_uncertainty_score":0.30524582},"labels":[],"label_agreement":null},{"id":"W6977299494","doi":"10.6084/m9.figshare.23488822","title":"Additional file 2 of Adding epitope compatibility to deceased donor kidney allocation criteria: recommendations from a pan-Canadian online public deliberation","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health; McGill University; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"Deliberation; Compatibility (geochemistry); File format; Key (lock)","score_opus":0.030186964605781196,"score_gpt":0.24700642777178927,"score_spread":0.2168194631660081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977299494","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028768182,0.00010849634,0.0009775548,0.0048708436,0.0003649226,0.0007930978,0.9665376,0.00043184403,0.025628034],"genre_scores_gemma":[0.03124023,0.0016871213,0.021377254,0.02159962,0.0014400311,0.012807499,0.72392124,0.002383617,0.18354344],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9954827,0.001404085,0.00059481343,0.0004141972,0.0014793255,0.0006249168],"domain_scores_gemma":[0.8892165,0.06990296,0.0029677642,0.0035681534,0.03120368,0.0031409755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010840991,0.0006450668,0.0011031869,0.0032606574,0.0018689728,0.0023871604,0.0028349091,0.002044888,0.81621826],"category_scores_gemma":[0.1043055,0.00059878774,0.001093345,0.004468013,0.00061692804,0.0018038651,0.0016334942,0.0018493157,0.116878495],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006412751,0.000013777679,0.00032985734,0.0003785978,0.0000062290733,0.000015512525,0.00004708361,0.00009603526,0.000007605231,0.00074312993,0.9934681,0.00483003],"study_design_scores_gemma":[0.0010106635,0.00003746419,0.007209088,0.0041269683,0.000075487,0.00011471719,0.00047228084,0.0006328325,0.00016060748,0.0056016287,0.9804772,0.00008104081],"about_ca_topic_score_codex":0.2953312,"about_ca_topic_score_gemma":0.36855555,"teacher_disagreement_score":0.9914308,"about_ca_system_score_codex":0.008569173,"about_ca_system_score_gemma":0.02293802,"threshold_uncertainty_score":0.58722436},"labels":[],"label_agreement":null},{"id":"W6977395056","doi":"10.6084/m9.figshare.c.6295713","title":"Implementation of a medicine management plan (MMP) to reduce medication-related harm (MRH) in older people post-hospital discharge: a randomised controlled trial","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Randomized controlled trial; Intervention (counseling); Medical record; Pharmacist; Logistic regression; Cohort; Older people; MEDLINE","score_opus":0.005915299622202257,"score_gpt":0.24406960121864266,"score_spread":0.2381543015964404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977395056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310927,0.02655675,0.0015748446,0.0021100326,0.0029494788,0.03088911,0.0013818596,0.00025444545,0.0031907684],"genre_scores_gemma":[0.9518696,0.008583001,0.004776182,0.0015741858,0.0012749592,0.028898206,0.00054619025,0.000015305535,0.0024623596],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99697,0.0018533975,0.00038140314,0.00034793484,0.00022334185,0.00022394116],"domain_scores_gemma":[0.99615026,0.0017890399,0.0009369443,0.0001676849,0.00023050037,0.0007255649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034524095,0.0013975863,0.004188733,0.0008439485,0.0006426699,0.0015562351,0.0012302458,0.0032514094,0.008148106],"category_scores_gemma":[0.007807928,0.0006793559,0.0043242876,0.00076275493,0.001187591,0.0014355676,0.00088643265,0.0034689973,0.00059609953],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9659196,0.009984941,0.00050133537,0.0047595557,0.0026702606,0.000036901045,0.00006565224,0.00022385553,0.00030473195,0.00012688467,0.0004236194,0.014982671],"study_design_scores_gemma":[0.9572321,0.039446395,0.00097581244,0.00037792357,0.001225601,0.000010155856,0.000030128424,0.00023030656,0.00009086091,0.000106172374,0.00026373393,0.000010886555],"about_ca_topic_score_codex":0.0022137687,"about_ca_topic_score_gemma":0.0027876177,"teacher_disagreement_score":0.008148106,"about_ca_system_score_codex":0.001240223,"about_ca_system_score_gemma":0.0022013318,"threshold_uncertainty_score":0.027258098},"labels":[],"label_agreement":null},{"id":"W6980281799","doi":"","title":"BluWave-ai Completes Canada's First AI-Driven, Multiple EV OEM Demand Response Events to Support Electrical System at Hydro Ottawa","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Original equipment manufacturer; Demand response; Electrical equipment; Electric power system; Control system","score_opus":0.004517814768698317,"score_gpt":0.19698153543585717,"score_spread":0.19246372066715886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980281799","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03232754,0.00015541409,0.0061624413,0.00635078,0.0011239524,0.00086272793,0.016349368,0.005137324,0.9315305],"genre_scores_gemma":[0.07230864,0.00008471774,0.003224828,0.0014949135,0.00005565864,0.00008767337,0.005433797,0.00077688263,0.91653293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985917,0.000031000043,0.0000122104675,0.0000631017,0.0008307569,0.00047114532],"domain_scores_gemma":[0.9965407,0.000121196244,0.000045250297,0.00015743662,0.0023240147,0.00081131404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964895,0.0006487342,0.00025880465,0.0010068316,0.0049494086,0.0030055644,0.0009981518,0.0015143018,0.09097762],"category_scores_gemma":[0.0017799599,0.0005337119,0.00039199638,0.0005208123,0.0010184878,0.0006450093,0.0013802048,0.0017798075,0.021225953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024635985,0.00022584967,0.0069938716,0.000070511014,0.000019986084,0.00033543044,0.00034859893,0.002292931,0.0085486565,0.007154041,0.9215564,0.052207325],"study_design_scores_gemma":[0.000046000037,0.00007442727,0.01374621,0.00002530223,0.000006198367,0.00004746191,0.0008167578,0.0038028,0.0032915466,0.0005439016,0.9775709,0.000028512268],"about_ca_topic_score_codex":0.9391479,"about_ca_topic_score_gemma":0.9829374,"teacher_disagreement_score":0.09097762,"about_ca_system_score_codex":0.016086655,"about_ca_system_score_gemma":0.064127035,"threshold_uncertainty_score":0.30435044},"labels":[],"label_agreement":null},{"id":"W6980389397","doi":"","title":"BYD Opening Electric Truck Factory In Canada, Cites Friendlier Environment For EVs Than US","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Factory (object-oriented programming); CITES; Truck; Head (geology)","score_opus":0.0046868626960519695,"score_gpt":0.17289113900490113,"score_spread":0.16820427630884915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980389397","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016697867,0.0036107176,0.0006746368,0.016285872,0.0032641415,0.00012096205,0.025680903,0.0007751829,0.93288976],"genre_scores_gemma":[0.02982358,0.0020925829,0.0003049841,0.0031664118,0.00018938303,0.000016945898,0.004963511,0.00026335163,0.9591794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848795,0.000025980074,0.000024154418,0.0000722398,0.00087101327,0.0005185813],"domain_scores_gemma":[0.9975902,0.00010050537,0.000054617303,0.000055854372,0.0017467648,0.00045217737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005943193,0.0005661327,0.0003767921,0.002915143,0.010266368,0.0075889938,0.00091844384,0.0027945214,0.077617556],"category_scores_gemma":[0.0024658788,0.0003380661,0.0005830614,0.0034524372,0.0012395055,0.0017244559,0.0015416596,0.0033456215,0.010938113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057196885,0.00004601741,0.007259349,0.00017766494,0.000014661665,0.000266739,0.0005952477,0.00018572927,0.00032524497,0.017099923,0.93878573,0.03518653],"study_design_scores_gemma":[0.000004964776,0.0000069517296,0.016429512,0.000092301685,0.000008071996,0.000072765695,0.001880668,0.00009363987,0.00028140048,0.00042094802,0.980692,0.000016676458],"about_ca_topic_score_codex":0.9710579,"about_ca_topic_score_gemma":0.99325985,"teacher_disagreement_score":0.077617556,"about_ca_system_score_codex":0.02814175,"about_ca_system_score_gemma":0.05828551,"threshold_uncertainty_score":0.2596566},"labels":[],"label_agreement":null},{"id":"W6981941977","doi":"","title":"Future of EV Manufacturing Market Size, Share, Growth &amp; Forecast 2035 – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Manufacturing; Economic forecasting; Productivity; Production (economics); Work (physics)","score_opus":0.0029116463987212543,"score_gpt":0.17130052801448872,"score_spread":0.16838888161576748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981941977","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065547585,0.012817561,0.0064910846,0.015348262,0.0021852325,0.00021603845,0.68299764,0.0025365052,0.21186005],"genre_scores_gemma":[0.36932495,0.014367115,0.009826567,0.0016498689,0.00050228357,0.00015618753,0.37081012,0.00037451417,0.23298842],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999419,0.000012765649,0.00001481443,0.000042426833,0.00038356788,0.00012762187],"domain_scores_gemma":[0.9978192,0.000055421122,0.00008260196,0.00002210424,0.0018272853,0.00019345974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006435227,0.00088967045,0.00034642845,0.002472101,0.0006660282,0.0016562578,0.0010686448,0.0007943094,0.015253749],"category_scores_gemma":[0.0012806058,0.00028694543,0.0007332003,0.0036972119,0.00025085747,0.0015944975,0.0004493664,0.0010746047,0.0057576555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035091996,0.00012641627,0.017561987,0.00033390688,0.00006324175,0.0001547057,0.000072524315,0.018595684,0.0010061195,0.007161782,0.88956344,0.06500929],"study_design_scores_gemma":[0.000058167916,0.00011575486,0.123936325,0.00032935673,0.00011182855,0.00009448033,0.00063941424,0.033029906,0.0042189313,0.0035539572,0.83379894,0.000112868285],"about_ca_topic_score_codex":0.94546103,"about_ca_topic_score_gemma":0.9503909,"teacher_disagreement_score":0.054538965,"about_ca_system_score_codex":0.018893033,"about_ca_system_score_gemma":0.026373481,"threshold_uncertainty_score":0.13707918},"labels":[],"label_agreement":null},{"id":"W6982519786","doi":"","title":"Infrastructure and Energy Alternatives Schedules 2018 Second Quarter News Release and Conference Call for Thursday, August 9th","year":2018,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Quarter (Canadian coin); Energy (signal processing); Efficient energy use; Energy consumption; Work (physics)","score_opus":0.005458734153142519,"score_gpt":0.20166462515420866,"score_spread":0.19620589100106614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982519786","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012810671,0.0010938727,0.0009915736,0.007141907,0.013678927,0.00029875682,0.010721355,0.0018570262,0.9629355],"genre_scores_gemma":[0.0015481774,0.00045698337,0.00020189979,0.00042569442,0.000891065,0.000080193546,0.0027692304,0.0004327302,0.9931941],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999183,0.000034437042,0.000019866224,0.000050973824,0.00058548996,0.00012620114],"domain_scores_gemma":[0.99856806,0.00013662466,0.000054701977,0.00008511021,0.00075982144,0.00039557792],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011400454,0.001271094,0.001030674,0.0017221483,0.0022900389,0.0048934375,0.0011575812,0.003447485,0.5473053],"category_scores_gemma":[0.0028281063,0.0005247199,0.0008671069,0.0010878562,0.00042067707,0.002508207,0.0012554235,0.003248635,0.3383623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029277302,0.000033324723,0.000044230936,0.000026696798,0.0000012137373,0.000014944174,0.000006273545,0.00006204025,0.00010025999,0.0004515688,0.9896634,0.0095667355],"study_design_scores_gemma":[0.000019308996,0.00002730416,0.00074177876,0.00003722805,0.0000024887631,0.000009905212,0.00005623766,0.00014669134,0.00015662101,0.00041663903,0.9983783,0.0000074638233],"about_ca_topic_score_codex":0.022798434,"about_ca_topic_score_gemma":0.07026357,"teacher_disagreement_score":0.4526947,"about_ca_system_score_codex":0.0021486385,"about_ca_system_score_gemma":0.0042602248,"threshold_uncertainty_score":0.64571404},"labels":[],"label_agreement":null},{"id":"W6987181153","doi":"","title":"Selective Sustainability: The infl uence of targeted marketing for housing on the emergence of a sustainability class in Montreal","year":2022,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Sustainability; Class (philosophy); Government (linguistics); World class; Macromarketing","score_opus":0.005398175001702646,"score_gpt":0.22157977156618494,"score_spread":0.2161815965644823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987181153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713388,0.00024107259,0.00011229899,0.0024294204,0.000018845814,0.000038270242,0.00039146384,0.000016785843,0.02541302],"genre_scores_gemma":[0.9887255,0.00008878078,0.000062613646,0.00011760555,0.0000058488013,0.000009132401,0.000088598164,0.000007795192,0.010894021],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989666,0.00011837264,0.000009867204,0.000107573826,0.00011975165,0.000677748],"domain_scores_gemma":[0.99844533,0.00012834724,0.00022888751,0.00005299123,0.0003696741,0.00077479106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071143714,0.00023635273,0.00018963584,0.0007305713,0.004768189,0.0027743569,0.0016900677,0.00087285903,0.016831478],"category_scores_gemma":[0.001827188,0.0002182198,0.00033866274,0.0011352408,0.0027018804,0.0010329004,0.0022072534,0.0012973116,0.00044879148],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076214527,0.0006259391,0.74716085,0.00017422593,0.00014563996,0.001486838,0.072789505,0.0012719181,0.006737587,0.042903785,0.03275469,0.09318686],"study_design_scores_gemma":[0.000013551957,0.00008129678,0.9414158,0.00004003188,0.000021512002,0.00003628657,0.039571475,0.0005400146,0.0004547622,0.00041191952,0.017381914,0.00003131581],"about_ca_topic_score_codex":0.9851391,"about_ca_topic_score_gemma":0.99624544,"teacher_disagreement_score":0.036239736,"about_ca_system_score_codex":0.036239736,"about_ca_system_score_gemma":0.027535373,"threshold_uncertainty_score":0.26293892},"labels":[],"label_agreement":null},{"id":"W6989131056","doi":"","title":"Alberta power grid operator preparing to roll out renewable energy roadmap","year":2016,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Renewable energy; Operator (biology); Power (physics); Power grid; Grid; Energy (signal processing)","score_opus":0.0025515835870177617,"score_gpt":0.18870401503569123,"score_spread":0.18615243144867347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989131056","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030952445,0.0004054084,0.0008559866,0.0072241994,0.0019402289,0.00024838836,0.010567656,0.00082585163,0.974837],"genre_scores_gemma":[0.0053143483,0.00027015212,0.00065927266,0.0010256954,0.00008116406,0.000025862151,0.0028854343,0.00013138408,0.9896068],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895453,0.000026624291,0.000013861669,0.000040322237,0.000739818,0.00022476816],"domain_scores_gemma":[0.997526,0.0000721563,0.000027228374,0.000061603,0.0018446399,0.00046838712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000840933,0.0006695996,0.0002850281,0.0016858395,0.0042524845,0.0042072413,0.00092564325,0.0025120631,0.108285286],"category_scores_gemma":[0.0019509242,0.00045594087,0.00035427843,0.0014452292,0.00059976015,0.0010012204,0.00092752813,0.002724152,0.02622502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002690949,0.000038830127,0.00072374096,0.000015390302,0.0000018094343,0.00008479144,0.000026905207,0.00024658837,0.00014156316,0.0024314388,0.98225486,0.014007078],"study_design_scores_gemma":[0.000015688,0.000010215709,0.0049058753,0.000031709707,0.000003234245,0.000027756814,0.0002131887,0.0005003658,0.00033387812,0.00072583935,0.9932197,0.000012621385],"about_ca_topic_score_codex":0.8665708,"about_ca_topic_score_gemma":0.95767426,"teacher_disagreement_score":0.8917147,"about_ca_system_score_codex":0.014265825,"about_ca_system_score_gemma":0.048588786,"threshold_uncertainty_score":0.36225033},"labels":[],"label_agreement":null},{"id":"W6989546814","doi":"","title":"Baseload Power Corporation receives $9.4 million in funding from Natural Resource Canada for electric vehicle charging network","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Corporation; Power (physics); Electric power; Electric vehicle; Electricity; Natural monopoly; Electric power industry","score_opus":0.004413415279017958,"score_gpt":0.1813613828817729,"score_spread":0.17694796760275494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989546814","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022787035,0.0006567342,0.0017253786,0.007613599,0.0016009931,0.00014251644,0.012098116,0.0019782197,0.97190577],"genre_scores_gemma":[0.008712814,0.00031040894,0.00046665454,0.0007165657,0.000056355162,0.000021622318,0.004944065,0.00035795444,0.9844135],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864477,0.000044783104,0.000017321894,0.000098402685,0.00083512283,0.00035960085],"domain_scores_gemma":[0.9956923,0.00012576433,0.000054101707,0.000100602534,0.0030790982,0.00094812515],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008238453,0.0009048877,0.0004034671,0.001423477,0.0032528222,0.0035365836,0.0008774758,0.0017511044,0.32860208],"category_scores_gemma":[0.0024666649,0.00043702143,0.00045307964,0.0012071794,0.00088983413,0.0013851118,0.0014281818,0.0020756905,0.1550492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006969751,0.000043629025,0.00066257257,0.00004692488,0.0000037893678,0.000060249065,0.000026512533,0.00016509731,0.00042144203,0.005190172,0.9554145,0.0378954],"study_design_scores_gemma":[0.000023951246,0.000022692875,0.0012503325,0.000033249522,0.0000038974617,0.000049105416,0.00011257827,0.00074823457,0.00042342677,0.00055524503,0.99676657,0.000010651995],"about_ca_topic_score_codex":0.63445604,"about_ca_topic_score_gemma":0.8038527,"teacher_disagreement_score":0.36554396,"about_ca_system_score_codex":0.009240143,"about_ca_system_score_gemma":0.03566146,"threshold_uncertainty_score":0.95766765},"labels":[],"label_agreement":null},{"id":"W6989723982","doi":"","title":"Canada announces $2.75 billion investment in zero-emissions buses and charging infrastructure - Electrek","year":2021,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Investment (military); Government (linguistics); Work (physics); Payment; Boom","score_opus":0.003784541798642955,"score_gpt":0.17910668270746696,"score_spread":0.175322140908824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989723982","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009442719,0.0016086228,0.0026621167,0.02941584,0.0028034647,0.00023026849,0.04479648,0.002522466,0.9065179],"genre_scores_gemma":[0.022370735,0.0010885592,0.0013302385,0.004934646,0.00011364589,0.00003599591,0.010658083,0.0002861914,0.9591819],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987318,0.000021797343,0.000010385834,0.00005318127,0.0008453251,0.00033760467],"domain_scores_gemma":[0.9985934,0.000046419547,0.000019857644,0.00002680957,0.0009654885,0.0003479116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613284,0.001024222,0.0003266705,0.0012288146,0.0034858452,0.0033266386,0.00094136706,0.0030851641,0.096388064],"category_scores_gemma":[0.001466591,0.0004538597,0.00079088006,0.0012398586,0.00075651036,0.00092308916,0.0012761287,0.0026163617,0.021596212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006040549,0.000045807454,0.00094466703,0.000063042215,0.000010516349,0.00006852788,0.000032038217,0.00025770266,0.0006440427,0.007096218,0.9722683,0.018508868],"study_design_scores_gemma":[0.00003128852,0.000026216288,0.0049805962,0.000044791857,0.000012744173,0.000035644392,0.00016083196,0.00057834305,0.00079480436,0.00077777007,0.99253684,0.00002008963],"about_ca_topic_score_codex":0.9590196,"about_ca_topic_score_gemma":0.98391473,"teacher_disagreement_score":0.096388064,"about_ca_system_score_codex":0.018051632,"about_ca_system_score_gemma":0.04985584,"threshold_uncertainty_score":0.32245022},"labels":[],"label_agreement":null},{"id":"W6990800217","doi":"","title":"Electrovaya to Provide Repurposed Electric Vehicle Lithium Ion Battery Energy Storage System (BESS) to Manitoba Hydro","year":2011,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Battery (electricity); Energy storage; Lithium-ion battery; Electric vehicle; Automotive battery","score_opus":0.004778873953508044,"score_gpt":0.16941260272231998,"score_spread":0.16463372876881194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990800217","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20159484,0.00058915303,0.015003256,0.0028545512,0.0006161492,0.0014951422,0.006090197,0.0073239454,0.76443285],"genre_scores_gemma":[0.19300166,0.00044604868,0.005263044,0.0004477176,0.000025523475,0.00012956899,0.0021625932,0.00037276992,0.7981511],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987745,0.000009330806,0.0000026855193,0.000015866499,0.00005889922,0.000035760753],"domain_scores_gemma":[0.9996792,0.000014928244,0.0000075387834,0.00003477282,0.0002226024,0.000040953564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021723496,0.00042506165,0.0001309947,0.00062047644,0.001565186,0.000754515,0.000837892,0.0004324948,0.07809963],"category_scores_gemma":[0.00033714174,0.00025043497,0.00022171446,0.00044438802,0.0002970896,0.0005764725,0.0008929908,0.00058031594,0.010004504],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010278235,0.00093124027,0.02417691,0.00065907615,0.000071957584,0.002579781,0.0012639896,0.005150108,0.11384554,0.015291289,0.41081056,0.42419168],"study_design_scores_gemma":[0.0002139367,0.00043094906,0.037272867,0.00013282137,0.000033696775,0.0006815481,0.0016302554,0.010240635,0.041048475,0.001380144,0.90689725,0.000037434558],"about_ca_topic_score_codex":0.14620811,"about_ca_topic_score_gemma":0.40582472,"teacher_disagreement_score":0.14620811,"about_ca_system_score_codex":0.0018567762,"about_ca_system_score_gemma":0.0047824043,"threshold_uncertainty_score":0.29071414},"labels":[],"label_agreement":null},{"id":"W6991077298","doi":"","title":"First Public Charging Network for Plug-in Electric Vehicles in Canada - Hydro-Quebec and Partners Roll Out \"The Electric Circ...","year":2011,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric cars; Electric vehicle; Electricity; Electric network; Electric energy; Public transport","score_opus":0.008942638949898456,"score_gpt":0.18633754770326832,"score_spread":0.17739490875336986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991077298","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035956606,0.0014900416,0.0069262083,0.020841286,0.001239551,0.00078460394,0.03290921,0.0032359727,0.8966165],"genre_scores_gemma":[0.11062343,0.00072026835,0.0029180567,0.0026898785,0.000052064377,0.00007956021,0.008974512,0.00043729704,0.8735049],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920565,0.00003811105,0.000008497159,0.000044279805,0.00038635553,0.0003171334],"domain_scores_gemma":[0.99841106,0.000064853935,0.00002404695,0.000042862637,0.0012382608,0.00021885762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006857099,0.00042582615,0.00021762242,0.00070227514,0.0040716575,0.0024109695,0.0008920693,0.0016530433,0.07380441],"category_scores_gemma":[0.0015764761,0.0003116695,0.00039211335,0.001067132,0.00042769196,0.00074383116,0.00077186455,0.0013833691,0.010385506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092687806,0.000068395086,0.0052743093,0.00007005691,0.000012829956,0.00015561002,0.00017981954,0.0008164933,0.0010340285,0.008432592,0.9418598,0.04200342],"study_design_scores_gemma":[0.000042011212,0.00003221044,0.015696011,0.00006316658,0.000017484843,0.0000803904,0.00070553453,0.002413684,0.001843114,0.00074908836,0.97832096,0.000036359685],"about_ca_topic_score_codex":0.972172,"about_ca_topic_score_gemma":0.98859453,"teacher_disagreement_score":0.07380441,"about_ca_system_score_codex":0.019420339,"about_ca_system_score_gemma":0.05451538,"threshold_uncertainty_score":0.24690032},"labels":[],"label_agreement":null},{"id":"W6991203485","doi":"","title":"EV battery giant Northvolt to build multibillion-dollar plant in Quebec ... ➢ Northvolt ➢ BFN CA","year":2023,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Battery (electricity); Work (physics); Power (physics); Measure (data warehouse)","score_opus":0.0045161883020941795,"score_gpt":0.1885892717683226,"score_spread":0.18407308346622842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991203485","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032302805,0.0007103053,0.0009564878,0.0055994797,0.0010260383,0.00010096008,0.004541515,0.000971327,0.9828636],"genre_scores_gemma":[0.005589742,0.0001618142,0.00018574235,0.0003912617,0.00001621008,0.000009380421,0.0008670803,0.00018470282,0.99259406],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996723,0.000009420396,0.0000032584933,0.000028585662,0.0001571143,0.00012940358],"domain_scores_gemma":[0.9992404,0.000016072334,0.000008869674,0.000030628067,0.00046746054,0.00023672763],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002807086,0.0006101397,0.0002528259,0.00062253186,0.004436443,0.0024335925,0.0006449844,0.0015831612,0.42467117],"category_scores_gemma":[0.00056740793,0.0004151806,0.00043031745,0.0005480452,0.00052711426,0.001053897,0.0011579815,0.0019217819,0.13778609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030228968,0.0000256687,0.00064533966,0.000034039895,0.0000027990666,0.00007114015,0.000036147125,0.000106276064,0.0004426831,0.0022515515,0.97808594,0.018268105],"study_design_scores_gemma":[0.000009445705,0.000011763691,0.0019535837,0.00003378298,0.0000025978638,0.000041607185,0.00014672586,0.00022069683,0.0003030721,0.00024492852,0.99702305,0.0000086707605],"about_ca_topic_score_codex":0.8034112,"about_ca_topic_score_gemma":0.9526343,"teacher_disagreement_score":0.42467117,"about_ca_system_score_codex":0.008742743,"about_ca_system_score_gemma":0.016475003,"threshold_uncertainty_score":0.82063675},"labels":[],"label_agreement":null},{"id":"W6991268528","doi":"","title":"Fleet-wide transit bus energy consumption modelling and techno-economic analysis of stationary energy storage systems for high-power electric bus charging","year":2022,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Energy consumption; Driving range; Range (aeronautics); Flywheel; Energy (signal processing); Electricity; Battery (electricity); Electric vehicle","score_opus":0.008779092076307228,"score_gpt":0.21524989197827682,"score_spread":0.2064707999019696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991268528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8187629,0.0002039237,0.15584004,0.00041103264,0.000031621883,0.00011524007,0.001353971,0.00024239319,0.02303884],"genre_scores_gemma":[0.9880227,0.00013663646,0.0070146965,0.000009613617,0.0000038632834,0.000039728755,0.000339694,0.000022149823,0.004410875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999002,0.000031379226,0.0000046417235,0.000017519687,0.000026339874,0.000019883348],"domain_scores_gemma":[0.99982697,0.00008827034,0.000022047348,0.000016258973,0.00003731091,0.000009122293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028907377,0.00049388834,0.00027927427,0.00049009576,0.00030480765,0.000930712,0.0005179914,0.00059229997,0.0021614365],"category_scores_gemma":[0.0006910155,0.00035451996,0.0008002868,0.00063878705,0.0002282273,0.0008194423,0.0002751196,0.0005639502,0.00027083786],"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":[0.000008149916,0.0000116079045,0.0008645473,0.0000067865076,0.0000064258143,0.000014002059,0.000008414799,0.9962626,0.00026781697,0.00093294604,0.00008833595,0.0015283462],"study_design_scores_gemma":[9.805019e-7,0.000006430163,0.0004180073,0.0000012448261,0.0000019656482,0.0000023744753,0.000009585676,0.9990526,0.00013236354,0.00021328122,0.00015946201,0.0000017470603],"about_ca_topic_score_codex":0.08893661,"about_ca_topic_score_gemma":0.08125361,"teacher_disagreement_score":0.08893661,"about_ca_system_score_codex":0.0019628073,"about_ca_system_score_gemma":0.0011139632,"threshold_uncertainty_score":0.17683792},"labels":[],"label_agreement":null},{"id":"W6991432089","doi":"","title":"GM tripling employee workplace electric vehicle charging availability across US and Canada","year":2020,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Work (physics); Measure (data warehouse); Vehicle safety; Quality (philosophy)","score_opus":0.0043111572425034075,"score_gpt":0.19092503091269397,"score_spread":0.18661387367019056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991432089","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12792149,0.0010191569,0.002615111,0.008297454,0.00042320078,0.0001917205,0.15461881,0.0019380652,0.702975],"genre_scores_gemma":[0.3818123,0.0011866814,0.0019740788,0.002068229,0.00007840568,0.0000800338,0.035127014,0.0003238437,0.5773494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920636,0.000017535267,0.000011265582,0.00005848301,0.00037365552,0.00033268493],"domain_scores_gemma":[0.9975435,0.00005784702,0.00007540746,0.00003256636,0.001543783,0.00074684585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036284162,0.00029125312,0.00015599783,0.0018725849,0.0019952594,0.0019421043,0.0010071703,0.00057225605,0.048963428],"category_scores_gemma":[0.0017376513,0.0001760446,0.0004123185,0.0020569467,0.0002610693,0.00061870925,0.00095920207,0.00083377364,0.0066378834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001588321,0.0000849927,0.057192594,0.00020154998,0.000025343239,0.00015769603,0.00046142,0.003124586,0.0007704965,0.0054169204,0.78711337,0.14529218],"study_design_scores_gemma":[0.000025712403,0.000044077995,0.3959444,0.00026193893,0.000028519316,0.000113689646,0.0047636,0.0052234433,0.00093468407,0.0007100154,0.5919008,0.000049145692],"about_ca_topic_score_codex":0.98830193,"about_ca_topic_score_gemma":0.9944739,"teacher_disagreement_score":0.048963428,"about_ca_system_score_codex":0.02079355,"about_ca_system_score_gemma":0.045098275,"threshold_uncertainty_score":0.16379899},"labels":[],"label_agreement":null},{"id":"W6991557295","doi":"","title":"Hydro-Québec and partners roll out “The Electric Circuit” network for plug-in electric vehicles","year":2011,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric network; Electric cars; Electric power; Electric energy; Electric vehicle","score_opus":0.010437191622492716,"score_gpt":0.20654587974221378,"score_spread":0.19610868811972107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991557295","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012967021,0.00052118464,0.0052790707,0.0075807623,0.0008398148,0.00068015885,0.024952272,0.0019350734,0.94524467],"genre_scores_gemma":[0.035555452,0.00033284316,0.0029293299,0.0016472257,0.000042024127,0.000089996596,0.007743838,0.00035273843,0.95130646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988005,0.00005872064,0.000015081513,0.00007338134,0.00066563673,0.00038671927],"domain_scores_gemma":[0.9971263,0.000117534095,0.000055994016,0.00012032501,0.002222213,0.00035768922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009733105,0.00094706035,0.0003323754,0.0015978538,0.003372927,0.0028878136,0.0012559444,0.002600678,0.09360993],"category_scores_gemma":[0.0024854713,0.0005030797,0.00056688517,0.001686863,0.00071228476,0.0009908779,0.00095847435,0.0018861836,0.015309646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010744466,0.0001723528,0.0047724703,0.00008451689,0.000018035282,0.00020394316,0.000105729065,0.0017616968,0.0011672227,0.023858543,0.921498,0.046250056],"study_design_scores_gemma":[0.00004933096,0.000030242818,0.008818739,0.000048508664,0.000011580201,0.000058654023,0.00019254486,0.0026622212,0.0012353075,0.0011680214,0.98570573,0.000019024983],"about_ca_topic_score_codex":0.9628118,"about_ca_topic_score_gemma":0.9797079,"teacher_disagreement_score":0.09360993,"about_ca_system_score_codex":0.020460028,"about_ca_system_score_gemma":0.041852687,"threshold_uncertainty_score":0.31315643},"labels":[],"label_agreement":null},{"id":"W6992042900","doi":"","title":"JinkoSolar Partners with University of Western Ontario to Power a Solar Car Competing in \"2013 World Solar Challenge\" - WMBB News 13","year":2013,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Power (physics); Solar power; Photovoltaic system; Government (linguistics); Solar energy","score_opus":0.006234797452222458,"score_gpt":0.17920802062741711,"score_spread":0.17297322317519465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992042900","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014028975,0.000650309,0.0006263714,0.018329157,0.0055988277,0.0000851642,0.00196975,0.00080343353,0.97053415],"genre_scores_gemma":[0.0019918764,0.00016560279,0.00009916339,0.0008929559,0.0001118464,0.000009102882,0.0004644403,0.00014187997,0.99612314],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897385,0.00002919966,0.000012748458,0.000078970625,0.0005709429,0.00033434553],"domain_scores_gemma":[0.99848926,0.000043604203,0.000023936966,0.000052714262,0.0007076719,0.0006828401],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081722735,0.00069334405,0.00042924675,0.0006704684,0.006158278,0.005567308,0.00071859383,0.0041032443,0.30607367],"category_scores_gemma":[0.0011245357,0.00037538685,0.00062402495,0.0007508586,0.00069480884,0.0017231167,0.0022712422,0.003916254,0.13503513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000164237,0.000018009789,0.00017987053,0.000017116672,0.0000017439203,0.00006209915,0.00004123476,0.000029086665,0.00020991928,0.0023494826,0.99063593,0.0064392164],"study_design_scores_gemma":[0.0000043672103,0.000005614989,0.00042072718,0.000010328767,0.000001448894,0.00001238339,0.00013192833,0.000051930383,0.00013176928,0.00025324745,0.9989723,0.000003987795],"about_ca_topic_score_codex":0.25873816,"about_ca_topic_score_gemma":0.71035504,"teacher_disagreement_score":0.74126184,"about_ca_system_score_codex":0.00568083,"about_ca_system_score_gemma":0.014910446,"threshold_uncertainty_score":0.9898017},"labels":[],"label_agreement":null},{"id":"W6992807639","doi":"","title":"Minister LeBlanc Announces Electric Vehicle Projects in New Brunswick","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Work (physics); Commercial vehicle; Government (linguistics); Vehicle safety","score_opus":0.009336219789485308,"score_gpt":0.21650455695062876,"score_spread":0.20716833716114344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992807639","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009108526,0.0018324801,0.0006990811,0.041236933,0.005387225,0.00024191785,0.009345881,0.00053023506,0.9316178],"genre_scores_gemma":[0.0062540537,0.0003705528,0.00013542105,0.004135495,0.00009976661,0.000032332013,0.00084867835,0.000111511246,0.9880123],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980718,0.00010547932,0.00003854082,0.00011533047,0.0007741659,0.0008946767],"domain_scores_gemma":[0.9988844,0.0001641644,0.000038292146,0.000057863217,0.00056565553,0.00028958547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018513632,0.0009928306,0.0004542133,0.0014089375,0.0041650217,0.0064669442,0.0015505922,0.008097153,0.103356756],"category_scores_gemma":[0.003195024,0.00061874086,0.00080106314,0.0012270852,0.0009086987,0.0015991871,0.002728598,0.006661272,0.021938358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017338608,0.00008417171,0.0016966352,0.00009782562,0.000012422352,0.0006665618,0.00017904476,0.000326777,0.00064217957,0.041706864,0.9390339,0.015380197],"study_design_scores_gemma":[0.000019974743,0.000011574726,0.001964826,0.000036421963,0.0000035819812,0.000028835948,0.00022802553,0.00009814919,0.00043214878,0.0007885532,0.99637526,0.000012549864],"about_ca_topic_score_codex":0.5413452,"about_ca_topic_score_gemma":0.7614516,"teacher_disagreement_score":0.45865482,"about_ca_system_score_codex":0.015801437,"about_ca_system_score_gemma":0.033977963,"threshold_uncertainty_score":0.92271185},"labels":[],"label_agreement":null},{"id":"W6993055037","doi":"","title":"New Hampshire, Northeast states mull building Quebec-to-D.C., EV charging network","year":2018,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Work (physics); Renewable energy; Government (linguistics); Energy consumption","score_opus":0.0036157075331428217,"score_gpt":0.19277663948220364,"score_spread":0.1891609319490608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6993055037","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052270205,0.0006441662,0.000881907,0.0014911263,0.0003489432,0.00011759904,0.014648325,0.00058477774,0.9760561],"genre_scores_gemma":[0.008968068,0.00037760506,0.00041294363,0.0001946911,0.000018703104,0.000023003036,0.0023685275,0.0001980458,0.9874384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995229,0.000019443789,0.000011463809,0.00007883023,0.00021116615,0.0001562918],"domain_scores_gemma":[0.9983695,0.00008749971,0.000032614254,0.000088083434,0.0010310158,0.00039124585],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003108318,0.0010741916,0.00045662682,0.0010025367,0.0057574017,0.0027278634,0.0012252709,0.0011740369,0.49971583],"category_scores_gemma":[0.0012571801,0.00056309055,0.00038522153,0.0016176138,0.0008252394,0.001123389,0.0010706522,0.001449315,0.13082044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009694794,0.00007188637,0.002600476,0.00011845572,0.000009834789,0.00032946863,0.00012291993,0.00056581356,0.00077744154,0.0055671274,0.9251342,0.06460531],"study_design_scores_gemma":[0.000021770427,0.000019214955,0.010499803,0.00009155366,0.0000064823357,0.000119422715,0.00042198447,0.00081113784,0.00053767447,0.0004951214,0.9869544,0.0000214204],"about_ca_topic_score_codex":0.9181235,"about_ca_topic_score_gemma":0.98091274,"teacher_disagreement_score":0.49971583,"about_ca_system_score_codex":0.020489207,"about_ca_system_score_gemma":0.026170956,"threshold_uncertainty_score":0.7135947},"labels":[],"label_agreement":null},{"id":"W6996735364","doi":"","title":"Stellantis-LG Energy Solution Plan Ontario, Canada, EV Battery Facility","year":2022,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Battery (electricity); Energy (signal processing); Plan (archaeology); Electricity; Energy consumption","score_opus":0.004265375772394392,"score_gpt":0.14351639504792263,"score_spread":0.13925101927552824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996735364","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048242537,0.0006625601,0.0015926067,0.006020491,0.0006470922,0.0002993521,0.043582544,0.0009421549,0.9414289],"genre_scores_gemma":[0.006752953,0.00036518602,0.0009566446,0.0006074161,0.000019781874,0.00004834195,0.0063998178,0.00021131759,0.9846385],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991574,0.000024195615,0.00001246005,0.000057238773,0.00050576887,0.00024285045],"domain_scores_gemma":[0.9983348,0.00004126819,0.00002430951,0.00004106091,0.0012467258,0.0003118533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053813047,0.001083018,0.00041568256,0.0017085756,0.005722813,0.0030350045,0.0011776878,0.0023471476,0.21663755],"category_scores_gemma":[0.0012790558,0.00071440847,0.0005543338,0.0021494883,0.0007535341,0.0010155526,0.0010395631,0.0018785204,0.055202592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079466154,0.00004997883,0.0010344443,0.00008702882,0.000006369317,0.00007298103,0.000061653256,0.0006988845,0.0005661785,0.009206017,0.9642313,0.023905845],"study_design_scores_gemma":[0.000038852635,0.000021607186,0.0034585427,0.000064267726,0.0000059898016,0.00003799133,0.0002708341,0.0013838394,0.0004042297,0.0010169853,0.9932835,0.0000132991245],"about_ca_topic_score_codex":0.97139186,"about_ca_topic_score_gemma":0.99120706,"teacher_disagreement_score":0.21663755,"about_ca_system_score_codex":0.029692741,"about_ca_system_score_gemma":0.109243505,"threshold_uncertainty_score":0.72472477},"labels":[],"label_agreement":null},{"id":"W6997040824","doi":"","title":"TransLink Launches Battery-Electric Bus Pilot as part of CUTRIC's Pan-Canadian Integration Trial","year":2019,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"System integration; Work (physics); Standardization; Troubleshooting; Component (thermodynamics)","score_opus":0.008892004494687227,"score_gpt":0.19512178752681006,"score_spread":0.18622978303212284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997040824","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074943975,0.0008259369,0.0029138585,0.02261342,0.002267858,0.0024062202,0.011115066,0.0012274355,0.8816862],"genre_scores_gemma":[0.1766509,0.0004761647,0.0026884328,0.010154979,0.00012552395,0.0005517653,0.0050305063,0.00040338087,0.8039183],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961702,0.00018478953,0.000038345243,0.00019470256,0.0016177588,0.0017941871],"domain_scores_gemma":[0.9949404,0.00019251528,0.00006228469,0.00014094933,0.0025065795,0.0021572465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040923003,0.0007079651,0.000365578,0.00091907766,0.0073720412,0.003451171,0.0014287008,0.0022861953,0.056147024],"category_scores_gemma":[0.0054362887,0.00040504694,0.00046301252,0.0006418261,0.0018702103,0.0009426218,0.0034945037,0.0037656392,0.011361596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020071703,0.00086597627,0.014196958,0.00016344868,0.00006287845,0.0006309064,0.0015743776,0.00068647315,0.0025286172,0.01862848,0.8775519,0.081102826],"study_design_scores_gemma":[0.00055623933,0.000691704,0.040391073,0.000124983,0.000043412587,0.00012247564,0.0032288872,0.0006673097,0.0018920958,0.0011973741,0.95102745,0.000056932888],"about_ca_topic_score_codex":0.94280696,"about_ca_topic_score_gemma":0.98722863,"teacher_disagreement_score":0.05719304,"about_ca_system_score_codex":0.019089585,"about_ca_system_score_gemma":0.087287344,"threshold_uncertainty_score":0.18783051},"labels":[],"label_agreement":null},{"id":"W6998694008","doi":"","title":"Användares erfarenheter av däckslitage hos elfordon : en enkät- och intervjustudie","year":2022,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Brake; Renting; Electric vehicle; Quarter (Canadian coin); Electric cars; Internal combustion engine","score_opus":0.008708940352984399,"score_gpt":0.22378672867596566,"score_spread":0.21507778832298127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998694008","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32515454,0.080048345,0.017049221,0.05610492,0.015749678,0.0006704518,0.0067279385,0.0028679299,0.49562702],"genre_scores_gemma":[0.4633357,0.034590576,0.012437901,0.006167657,0.0021771262,0.00039049904,0.0050852536,0.0013692859,0.47444603],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99602616,0.0012379694,0.00032611872,0.00051385834,0.0012350508,0.00066077],"domain_scores_gemma":[0.9974935,0.00078005315,0.00016991331,0.00023471126,0.0007851596,0.0005366127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038146842,0.0009878742,0.0008643792,0.0014632897,0.0028779623,0.0076038684,0.001023428,0.002317965,0.058350164],"category_scores_gemma":[0.004781935,0.00045751847,0.0006157244,0.0011559135,0.00118855,0.003819767,0.005207905,0.0036170871,0.03229895],"study_design_candidate":"qualitative","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":[0.0006745047,0.00074236793,0.017980423,0.0018674004,0.00006386414,0.0025622551,0.024787437,0.0013426404,0.004798258,0.019680332,0.18283747,0.74266297],"study_design_scores_gemma":[0.00001907661,0.0001101444,0.006726889,0.0012211737,0.000023388824,0.00064417307,0.011568668,0.00043527115,0.001850549,0.0019471422,0.9753938,0.000059792703],"about_ca_topic_score_codex":0.007792513,"about_ca_topic_score_gemma":0.007773336,"teacher_disagreement_score":0.058350164,"about_ca_system_score_codex":0.003923841,"about_ca_system_score_gemma":0.0045537767,"threshold_uncertainty_score":0.19520074},"labels":[],"label_agreement":null},{"id":"W6998981900","doi":"","title":"Baseload Power Corporation receives $9.4 million in funding from Natural Resource Canada for electric vehicle charging network","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Corporation; Power (physics); Electric power; Electric vehicle; Electricity; Natural monopoly; Electric power industry","score_opus":0.004413415279017958,"score_gpt":0.1813613828817729,"score_spread":0.17694796760275494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998981900","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022787035,0.0006567342,0.0017253786,0.007613599,0.0016009931,0.00014251644,0.012098116,0.0019782197,0.97190577],"genre_scores_gemma":[0.008712814,0.00031040894,0.00046665454,0.0007165657,0.000056355162,0.000021622318,0.004944065,0.00035795444,0.9844135],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864477,0.000044783104,0.000017321894,0.000098402685,0.00083512283,0.00035960085],"domain_scores_gemma":[0.9956923,0.00012576433,0.000054101707,0.000100602534,0.0030790982,0.00094812515],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008238453,0.0009048877,0.0004034671,0.001423477,0.0032528222,0.0035365836,0.0008774758,0.0017511044,0.32860208],"category_scores_gemma":[0.0024666649,0.00043702143,0.00045307964,0.0012071794,0.00088983413,0.0013851118,0.0014281818,0.0020756905,0.1550492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006969751,0.000043629025,0.00066257257,0.00004692488,0.0000037893678,0.000060249065,0.000026512533,0.00016509731,0.00042144203,0.005190172,0.9554145,0.0378954],"study_design_scores_gemma":[0.000023951246,0.000022692875,0.0012503325,0.000033249522,0.0000038974617,0.000049105416,0.00011257827,0.00074823457,0.00042342677,0.00055524503,0.99676657,0.000010651995],"about_ca_topic_score_codex":0.63445604,"about_ca_topic_score_gemma":0.8038527,"teacher_disagreement_score":0.36554396,"about_ca_system_score_codex":0.009240143,"about_ca_system_score_gemma":0.03566146,"threshold_uncertainty_score":0.95766765},"labels":[],"label_agreement":null},{"id":"W6999193321","doi":"","title":"Capturing epigenomes at high-resolution for insight into genome function and metabolic disease risk","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"NIHR Oxford Biomedical Research Centre; Vetenskapsrådet; Reumatikerförbundet; Knut och Alice Wallenbergs Stiftelse; Canadian Institutes of Health Research; National Institute for Health and Care Research; McGill University Health Centre; Torsten Söderbergs Stiftelse; Wellcome Trust; McGill University; Heart and Stroke Foundation of Canada","keywords":"Function (biology); Genome; Disease; Human genome; Context (archaeology); Identification (biology)","score_opus":0.005464453633183055,"score_gpt":0.18603162560723427,"score_spread":0.18056717197405123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999193321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6866182,0.019628331,0.25033295,0.0017571563,0.00054891454,0.00013929798,0.024551963,0.0026941702,0.013729101],"genre_scores_gemma":[0.72917694,0.009573858,0.22019306,0.0008668769,0.00028653932,0.00018447054,0.027743215,0.000740624,0.011234506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982244,0.000019098272,0.000006859201,0.0000720362,0.00004346956,0.000036003723],"domain_scores_gemma":[0.9997278,0.00011561077,0.000030525287,0.000041449868,0.00005876165,0.00002588213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005468618,0.00042272624,0.00047906293,0.00084554794,0.00021468417,0.0010151395,0.0003141111,0.0005595674,0.0038091089],"category_scores_gemma":[0.0009154908,0.0003761976,0.000595339,0.001090366,0.00011072536,0.000754438,0.0008277952,0.0008654861,0.0018817543],"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":[0.00037250653,0.0000707439,0.022586334,0.00041739846,0.00024241726,0.00011006505,0.00033464335,0.0031529777,0.8524155,0.0012199119,0.0046884683,0.11438905],"study_design_scores_gemma":[0.00006873076,0.00034280797,0.39168882,0.00014917798,0.0008035436,0.00093828177,0.0009829812,0.043212134,0.47501746,0.011050101,0.07556029,0.0001857068],"about_ca_topic_score_codex":0.0011005779,"about_ca_topic_score_gemma":0.0018795658,"teacher_disagreement_score":0.0038091089,"about_ca_system_score_codex":0.00016537911,"about_ca_system_score_gemma":0.00016245036,"threshold_uncertainty_score":0.012742698},"labels":[],"label_agreement":null},{"id":"W6999429196","doi":"","title":"Demand Response for Electric Vehicles Using Options","year":2021,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Demand response; Electricity market; Renewable energy; Electricity retailing; Mains electricity; Flexibility (engineering); Load management; Electricity generation; Volatility (finance)","score_opus":0.012829459563123036,"score_gpt":0.2235845590502795,"score_spread":0.21075509948715646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999429196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34702224,0.00095068564,0.53023684,0.0025319771,0.00029103563,0.00029353934,0.0004485474,0.0009425015,0.11728271],"genre_scores_gemma":[0.98769605,0.00008821083,0.006231804,0.000067131325,0.000014571278,0.00003354171,0.000063316846,0.000023455044,0.0057819905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995684,0.00017496585,0.000020256222,0.000055796725,0.00010914669,0.00007146331],"domain_scores_gemma":[0.99937695,0.00038350656,0.00005594294,0.00003880709,0.00009527084,0.000049446742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007652926,0.00049521413,0.00027920882,0.00029932454,0.00030596292,0.0010639202,0.0007657818,0.0007430069,0.01062196],"category_scores_gemma":[0.0025899888,0.00021036474,0.00045715552,0.0003600667,0.00029148173,0.0010611528,0.0007306276,0.00060952164,0.0007126392],"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":[0.00046446658,0.00023907177,0.0027402618,0.00012779966,0.0000499507,0.00041393036,0.00015656909,0.81277746,0.005426632,0.07962914,0.0052060653,0.09276868],"study_design_scores_gemma":[0.00002451529,0.00005518687,0.00028040723,0.000010780532,0.0000067222068,0.000034057088,0.000059061764,0.98331165,0.0006555932,0.012340385,0.0032075502,0.000014011752],"about_ca_topic_score_codex":0.0039470824,"about_ca_topic_score_gemma":0.00541323,"teacher_disagreement_score":0.01062196,"about_ca_system_score_codex":0.00079345115,"about_ca_system_score_gemma":0.00044871238,"threshold_uncertainty_score":0.035534024},"labels":[],"label_agreement":null},{"id":"W7000486311","doi":"","title":"Feds, Ontario Each Chip in Over $250 Million for Electric Vehicles","year":2020,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Chip; System on a chip; Electricity; Work (physics)","score_opus":0.005801792814667852,"score_gpt":0.18909631588236706,"score_spread":0.1832945230676992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000486311","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003608065,0.0006605503,0.0010006982,0.0053162477,0.0012796031,0.00009237831,0.009046532,0.0010469286,0.977949],"genre_scores_gemma":[0.004207655,0.00025027423,0.0003836442,0.0005212848,0.000024355124,0.000012837395,0.0015961381,0.00010788805,0.9928959],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999408,0.000022678641,0.000010081106,0.000059825637,0.0003298362,0.00016942056],"domain_scores_gemma":[0.9992466,0.000024353532,0.000020501786,0.000036821904,0.00041877344,0.00025293196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032336035,0.0010041241,0.00034647994,0.0010984485,0.0036068368,0.0027364905,0.00066435075,0.0019117121,0.3751719],"category_scores_gemma":[0.0009182317,0.00049951195,0.00069755164,0.0011280903,0.0007581273,0.0011482276,0.0014879218,0.001403451,0.15447812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006519332,0.000033400123,0.00085555087,0.000061007428,0.000007791357,0.00008447794,0.00004109939,0.00019592432,0.0006470832,0.004847643,0.9562734,0.036887392],"study_design_scores_gemma":[0.000015266267,0.000009400423,0.0018228645,0.00002742556,0.0000041271414,0.000028197974,0.00014412648,0.00023666685,0.00018358741,0.00049239263,0.9970298,0.0000060102607],"about_ca_topic_score_codex":0.8218834,"about_ca_topic_score_gemma":0.941567,"teacher_disagreement_score":0.3751719,"about_ca_system_score_codex":0.011651819,"about_ca_system_score_gemma":0.023869019,"threshold_uncertainty_score":0.89124143},"labels":[],"label_agreement":null},{"id":"W7000567914","doi":"","title":"Flowers of the Night Live at Goldener Loewe on 2004-11-13","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ballad; Blues; Quarter (Canadian coin); Night sky; Jungle","score_opus":0.0024129390676128275,"score_gpt":0.14807420627513404,"score_spread":0.1456612672075212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000567914","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032124366,0.00041848116,0.0003697527,0.0015311703,0.0016124641,0.00011922355,0.0069278274,0.0017228157,0.9840858],"genre_scores_gemma":[0.0027906627,0.0000797738,0.0001198695,0.00011815873,0.000049699433,0.000007648392,0.0012310174,0.00024794653,0.99535525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981123,0.000013907469,0.000002984978,0.000028712511,0.00007415616,0.00006911376],"domain_scores_gemma":[0.99961346,0.000017547147,0.000009749056,0.00003788897,0.0001089695,0.00021242064],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034314115,0.00047645526,0.00049663085,0.00058648945,0.0030057773,0.0018335154,0.00081692525,0.00089498225,0.67597276],"category_scores_gemma":[0.00056695647,0.0002838068,0.00048693977,0.00047014025,0.00024632068,0.0007074273,0.0014640453,0.0011943238,0.37386408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015812479,0.00004230136,0.0006167544,0.000042116153,0.0000033950682,0.00021003383,0.00015195491,0.00003289752,0.0006455907,0.00063389377,0.9711307,0.026332056],"study_design_scores_gemma":[0.000009975922,0.000026472602,0.0033376268,0.000028172226,0.000001939506,0.0000402682,0.00018124795,0.000032138178,0.00023809103,0.00013309592,0.9959655,0.0000054964853],"about_ca_topic_score_codex":0.020680713,"about_ca_topic_score_gemma":0.1448485,"teacher_disagreement_score":0.67597276,"about_ca_system_score_codex":0.0011631188,"about_ca_system_score_gemma":0.0007368722,"threshold_uncertainty_score":0.4621855},"labels":[],"label_agreement":null},{"id":"W7001853687","doi":"","title":"Lieutenant Governor Michael Steele at the Prince George's County Council Meeting","year":2005,"lang":"en","type":"other","venue":"Digital Maryland","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Governor; George (robot); Government (linguistics); Work (physics)","score_opus":0.004757116243801247,"score_gpt":0.16264254745235396,"score_spread":0.15788543120855272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001853687","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006443691,0.0013218767,0.00042582361,0.007922321,0.0047194185,0.0001021206,0.0010494003,0.00051000196,0.9833046],"genre_scores_gemma":[0.001070954,0.00033003802,0.00009352655,0.0005400741,0.00017492002,0.000009600226,0.00020574774,0.00006165149,0.99751353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970514,0.000034238263,0.000007094106,0.000051875188,0.00013866721,0.00006287166],"domain_scores_gemma":[0.99944276,0.00003341589,0.000024027922,0.000022462005,0.00032283762,0.00015445163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003092106,0.00068229315,0.00028156766,0.00070328783,0.0025329166,0.0018676859,0.0004251948,0.0013070357,0.5035912],"category_scores_gemma":[0.0009845819,0.00027627693,0.00020565178,0.00073483726,0.00032037738,0.0010709388,0.000984504,0.0020263137,0.33878884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005052427,0.0000033935403,0.00003893072,0.0000097506945,3.1806763e-7,0.00002868245,0.000024615216,0.0000070516103,0.000053455617,0.00028870287,0.99404657,0.0054934793],"study_design_scores_gemma":[0.0000013523434,0.0000036587205,0.00024526994,0.000013967991,4.999807e-7,0.000019264211,0.00008493596,0.000010540868,0.000026661544,0.00003066247,0.9995617,0.0000014697479],"about_ca_topic_score_codex":0.027963813,"about_ca_topic_score_gemma":0.095907785,"teacher_disagreement_score":0.5035912,"about_ca_system_score_codex":0.0010468159,"about_ca_system_score_gemma":0.0012567372,"threshold_uncertainty_score":0.70806694},"labels":[],"label_agreement":null},{"id":"W7008165380","doi":"","title":"Atlas Power Technologies secures Emissions Reduction Alberta grant to kickstart supercapacitor energy storage project","year":2024,"lang":"de","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Atlas (anatomy); Energy storage; Reduction (mathematics); Power (physics); Supercapacitor; Pumped-storage hydroelectricity","score_opus":0.00585765278773389,"score_gpt":0.21038895215053818,"score_spread":0.2045312993628043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008165380","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047555594,0.00028667523,0.006274759,0.0070896903,0.001524645,0.000103640705,0.00864481,0.0019287191,0.9693916],"genre_scores_gemma":[0.073710114,0.00040453763,0.005049229,0.0014174541,0.00023518757,0.000080780075,0.008635042,0.0007962169,0.90967137],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777395,0.00008290156,0.00001337003,0.00010433409,0.0016815353,0.00034395236],"domain_scores_gemma":[0.997303,0.00017015342,0.000053807325,0.00022926209,0.0017105447,0.00053312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314764,0.0006900418,0.00052666204,0.0010906777,0.0027084218,0.0028463264,0.0010763792,0.0015973039,0.12807195],"category_scores_gemma":[0.0026520048,0.00032747656,0.00046928905,0.0010643009,0.0007928605,0.0010722363,0.0023905754,0.002324622,0.04826748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032184957,0.00009460104,0.0007290134,0.000056271314,0.000021309575,0.00009023719,0.00004650016,0.0016771433,0.0021095912,0.07734619,0.8535009,0.06400642],"study_design_scores_gemma":[0.000120800316,0.00006808479,0.002681366,0.000050545674,0.000016886674,0.0000726696,0.0001277513,0.0066917203,0.00474068,0.014421655,0.97098494,0.000022845099],"about_ca_topic_score_codex":0.18902631,"about_ca_topic_score_gemma":0.26271054,"teacher_disagreement_score":0.8109737,"about_ca_system_score_codex":0.006852985,"about_ca_system_score_gemma":0.022113007,"threshold_uncertainty_score":0.42844337},"labels":[],"label_agreement":null},{"id":"W7009415111","doi":"","title":"Emergency Energy Power System Composed of Multiple Multi-ports Energy Routers in Microgrid","year":2024,"lang":"en","type":"dissertation","venue":"White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Power (physics); Router; Electric power; Electric power system; Maximum power transfer theorem; Microgrid; Energy (signal processing); Power control; Electric power transmission; Electric potential energy","score_opus":0.0065095528889964616,"score_gpt":0.17132792146863907,"score_spread":0.1648183685796426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009415111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6923612,0.0016108303,0.26701522,0.0004544715,0.000232397,0.00027956313,0.00029016938,0.0018524046,0.035903674],"genre_scores_gemma":[0.98838913,0.00022452707,0.007865323,0.00002755833,0.000017307082,0.000049044564,0.00006133664,0.000011664757,0.0033540532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998147,0.00005291397,0.00001619423,0.00005703506,0.00003128702,0.000027873148],"domain_scores_gemma":[0.9999,0.00001894723,0.000015932117,0.000017853406,0.000031472126,0.000015786727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525024,0.00038737454,0.0003957002,0.00029621852,0.0005715755,0.00086852576,0.0007935396,0.0003220534,0.002824189],"category_scores_gemma":[0.00022335353,0.00020820682,0.00031026007,0.00035328482,0.00031060487,0.0009970028,0.00059907115,0.00028465688,0.00047373824],"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":[0.0012326303,0.0004021929,0.023227282,0.0009203457,0.0004869799,0.0077428077,0.0008532088,0.6830829,0.044652015,0.041037984,0.011661326,0.18470038],"study_design_scores_gemma":[0.00008701508,0.00047547833,0.0054114293,0.000063903564,0.00021275731,0.00083567505,0.00095245556,0.95863605,0.0099729765,0.009359261,0.013948376,0.00004471236],"about_ca_topic_score_codex":0.0018543042,"about_ca_topic_score_gemma":0.0020044853,"teacher_disagreement_score":0.002824189,"about_ca_system_score_codex":0.00038376142,"about_ca_system_score_gemma":0.0003337904,"threshold_uncertainty_score":0.009447873},"labels":[],"label_agreement":null},{"id":"W7009885802","doi":"","title":"The Financial and Environmental Viability of Municipally Operated Hybrid Ambulance Fleets in Ontario: Calculating the Return-on-Investment of Hybrid Ambulance Assets in Oxford County from 2017-2021","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hybrid system; Hybrid vehicle; Propulsion; Fuel efficiency; Greenhouse gas; Energy consumption; Leverage (statistics); Operating cost","score_opus":0.023161360159030184,"score_gpt":0.23272733260450987,"score_spread":0.2095659724454797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009885802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128294,0.00014363011,0.00030612323,0.00015739941,0.0000038340067,0.000054025353,0.0029404187,0.000014384061,0.0050974265],"genre_scores_gemma":[0.9964049,0.000099227495,0.00029483694,0.000008887712,0.0000016131729,0.000015304337,0.0015523391,0.0000048389165,0.0016180117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993886,0.000046229037,0.00002299547,0.000058213693,0.00022637284,0.00025759783],"domain_scores_gemma":[0.99870825,0.00017192705,0.00022716349,0.00004202182,0.0005818947,0.0002686583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841951,0.00041970852,0.00023255618,0.00091777724,0.0008192214,0.0015034432,0.0009003669,0.0005082868,0.0018709948],"category_scores_gemma":[0.0025395597,0.00031084692,0.0005588103,0.0012586454,0.0005862829,0.0006186718,0.00068176433,0.0004068955,0.00026755984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005253745,0.0001500681,0.8097869,0.00011826616,0.00023887616,0.0014213637,0.00088093197,0.16575319,0.0017359537,0.0023399498,0.00351562,0.013533464],"study_design_scores_gemma":[0.000054052398,0.00021565236,0.85940355,0.00007609319,0.00010962111,0.00022256453,0.00524245,0.12621915,0.0010693944,0.0005017406,0.0068048527,0.00008086231],"about_ca_topic_score_codex":0.9615808,"about_ca_topic_score_gemma":0.9767254,"teacher_disagreement_score":0.038419187,"about_ca_system_score_codex":0.03506927,"about_ca_system_score_gemma":0.007911089,"threshold_uncertainty_score":0.25444657},"labels":[],"label_agreement":null},{"id":"W7009938061","doi":"","title":"HCNWF) Announces EV Charging for Campanale Homes in Ottawa, and Presentation at Kinvestor Days Conference","year":2023,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Presentation (obstetrics); Doors; Work (physics)","score_opus":0.012371736156515207,"score_gpt":0.226373834435847,"score_spread":0.21400209827933178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009938061","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027140362,0.0006860802,0.0015252501,0.036630925,0.009725468,0.0008397637,0.014089136,0.001773371,0.90758955],"genre_scores_gemma":[0.014663834,0.00014656654,0.00035152212,0.0018015843,0.0001527246,0.000033284636,0.0013082683,0.00011425178,0.9814279],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939156,0.000022288825,0.000008541756,0.00004618634,0.00024905766,0.00028223303],"domain_scores_gemma":[0.99912053,0.00006730126,0.000015020007,0.00003986784,0.00041512825,0.00034216623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007700836,0.0006124043,0.00024037367,0.0005738868,0.0042690183,0.0028072859,0.0007005552,0.003958845,0.11889117],"category_scores_gemma":[0.00073339534,0.00043787732,0.0004362903,0.00038609726,0.0006273384,0.00069178804,0.00083377515,0.0031016232,0.022217575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001164944,0.00009435102,0.0024382207,0.000030211895,0.000005025462,0.00036420056,0.000105866035,0.00016882336,0.00092729676,0.00095852645,0.9848246,0.009966395],"study_design_scores_gemma":[0.000025904339,0.000060792096,0.011153039,0.000028671684,0.0000075740836,0.00006601255,0.0009923857,0.00046189365,0.00076933467,0.00022272459,0.9861898,0.000021869591],"about_ca_topic_score_codex":0.59740347,"about_ca_topic_score_gemma":0.9119883,"teacher_disagreement_score":0.59740347,"about_ca_system_score_codex":0.004781726,"about_ca_system_score_gemma":0.013218883,"threshold_uncertainty_score":0.809935},"labels":[],"label_agreement":null},{"id":"W7010167442","doi":"","title":"GM getting $220 million in Canadian government support for EV battery materials plant in Quebec","year":2023,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Government (linguistics); Battery (electricity); Public policy; Quality (philosophy)","score_opus":0.004453757030814323,"score_gpt":0.18380706281978323,"score_spread":0.1793533057889689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010167442","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049532675,0.0010353721,0.00076642894,0.027535086,0.0030636466,0.00022343987,0.010859686,0.0012204541,0.95034254],"genre_scores_gemma":[0.008573809,0.0003597808,0.00032153729,0.003681486,0.0001122521,0.00002855175,0.0016547322,0.00013402045,0.98513377],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998547,0.000043492095,0.000015389354,0.00007684081,0.00075978664,0.0005574968],"domain_scores_gemma":[0.99738795,0.00007643752,0.00003115208,0.00005602249,0.0016262665,0.0008221257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008108338,0.00082440436,0.00038663577,0.0015899197,0.0065290877,0.0039108503,0.001245422,0.0039309985,0.26417807],"category_scores_gemma":[0.0022485338,0.00042608337,0.0009432286,0.0011237449,0.00072602066,0.0009338621,0.0016001696,0.0026392143,0.055065155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029449537,0.000027256585,0.0006327159,0.000029117851,0.0000049467003,0.00008068946,0.00003605395,0.00015835698,0.0003071725,0.0022067162,0.98226017,0.014227374],"study_design_scores_gemma":[0.000021082424,0.000012663897,0.0030634273,0.000039768744,0.0000058898318,0.000029098379,0.00021178133,0.0003739245,0.00024075175,0.00028815996,0.99569964,0.000013798213],"about_ca_topic_score_codex":0.9751849,"about_ca_topic_score_gemma":0.98883563,"teacher_disagreement_score":0.26417807,"about_ca_system_score_codex":0.029720038,"about_ca_system_score_gemma":0.07333008,"threshold_uncertainty_score":0.8837637},"labels":[],"label_agreement":null},{"id":"W7010386760","doi":"","title":"Hydro-Quebec and Partners Roll Out &amp;amp;quot;The Electric Circuit&amp;amp;quot; - First Public Charging Network for Plug-in Electric Vehi...","year":2011,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric network; Electric energy; Electricity; Electric power; Electric cars","score_opus":0.026530008258887218,"score_gpt":0.2337278285422478,"score_spread":0.2071978202833606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010386760","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061907717,0.001472531,0.0036403162,0.0165297,0.0023197401,0.00036070336,0.017244954,0.0017036382,0.9505377],"genre_scores_gemma":[0.017695446,0.00040937625,0.0013366004,0.0016589568,0.000035724803,0.000030998108,0.0026573727,0.0003072148,0.97586834],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879956,0.000045633176,0.000012791363,0.00007458934,0.0007154635,0.00035199674],"domain_scores_gemma":[0.997412,0.000093599476,0.000035827226,0.00008531869,0.0020258261,0.00034748262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009494346,0.0007495204,0.00034588823,0.00097029813,0.004006895,0.003654757,0.0010482391,0.0027264447,0.20033653],"category_scores_gemma":[0.0024392433,0.0004671853,0.00043577992,0.0014069739,0.00094139937,0.001232135,0.00092049735,0.002145106,0.035814878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067670495,0.00004206957,0.0014330894,0.00006979056,0.000009974785,0.00011922445,0.000103776314,0.0004233906,0.0010726303,0.01134045,0.95935786,0.025960125],"study_design_scores_gemma":[0.000017171948,0.000013664711,0.002250598,0.000034412627,0.000004004195,0.00003005745,0.00016878535,0.00047627374,0.0007656186,0.00054018776,0.99568474,0.000014522155],"about_ca_topic_score_codex":0.9469654,"about_ca_topic_score_gemma":0.9836203,"teacher_disagreement_score":0.20033653,"about_ca_system_score_codex":0.02140098,"about_ca_system_score_gemma":0.035044234,"threshold_uncertainty_score":0.6701925},"labels":[],"label_agreement":null},{"id":"W7010561279","doi":"","title":"Invest Green to Drive Green: Investigating Requirements and Investment Needs for Road Transportation Electrification in the United States, and Policy Measures to Consider","year":2024,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Investment (military); Greenhouse gas; Production (economics); Electric vehicle; Market penetration; Capital investment; Capital cost; Electricity","score_opus":0.01897947280254902,"score_gpt":0.23521339397442906,"score_spread":0.21623392117188003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010561279","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94858474,0.001577833,0.0010897628,0.0050195176,0.000028257627,0.000103956925,0.0023681256,0.000024237685,0.041203536],"genre_scores_gemma":[0.9895509,0.0020921067,0.0022403914,0.00058232824,0.000011481917,0.00012733351,0.001604643,0.000010569047,0.0037802677],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995035,0.00014908401,0.000031082458,0.00006439065,0.00014029944,0.00011161734],"domain_scores_gemma":[0.99825925,0.00078936375,0.0003905045,0.000042543546,0.0003881979,0.00013008682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013030309,0.0002937165,0.00020114776,0.0009574563,0.00058901706,0.0027176696,0.0006920996,0.00078690366,0.0028342055],"category_scores_gemma":[0.0037310645,0.00028604464,0.00050774013,0.002052277,0.00033414573,0.0024876099,0.0008246602,0.0009540742,0.00027958068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005864424,0.0013088033,0.58128786,0.0011203841,0.00041493526,0.00080636685,0.005229368,0.05775715,0.003195693,0.1064617,0.053821016,0.18801033],"study_design_scores_gemma":[0.000050372088,0.0005503599,0.8187981,0.00081192143,0.00031474183,0.00020794375,0.055712584,0.042178065,0.002193611,0.01893877,0.060152985,0.000090519774],"about_ca_topic_score_codex":0.040258996,"about_ca_topic_score_gemma":0.108758844,"teacher_disagreement_score":0.040258996,"about_ca_system_score_codex":0.0044205748,"about_ca_system_score_gemma":0.003113263,"threshold_uncertainty_score":0.080049336},"labels":[],"label_agreement":null},{"id":"W7010907719","doi":"","title":"Les archives dÃ©finitives : un dÃ©but de parcours. Revisiter le cycle de vie et le Records continuum","year":2014,"lang":"fr","type":"article","venue":"Archivaria","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dialectic; Temporality; Silence; Criticism; Dimension (graph theory); Postmodernism; Perspective (graphical)","score_opus":0.006216183867929839,"score_gpt":0.21548146306976865,"score_spread":0.2092652792018388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010907719","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1167863,0.053226985,0.058783364,0.15074088,0.005521861,0.00013699953,0.00049862405,0.00053483,0.6137702],"genre_scores_gemma":[0.8810162,0.012733886,0.010463602,0.0027579607,0.0011812886,0.0001366056,0.00016865144,0.0003251406,0.0912167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925991,0.0041163214,0.00026399648,0.0006621111,0.0019529279,0.0004055649],"domain_scores_gemma":[0.9930923,0.0033707896,0.00076735567,0.0010997996,0.001233918,0.00043575247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00655844,0.0005439978,0.000361343,0.0028098924,0.006621055,0.018550387,0.0012617655,0.002935334,0.008249433],"category_scores_gemma":[0.013717151,0.00036200896,0.00045860675,0.0039929855,0.026127534,0.019458905,0.005603029,0.005654748,0.001492828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017762031,0.000009995307,0.00034386048,0.000055028013,0.0000026034859,0.00006792001,0.016809667,0.00013739978,0.000111719615,0.9550466,0.005353035,0.022044297],"study_design_scores_gemma":[0.000007837923,0.000034527602,0.0010621187,0.00034848903,0.0000046717823,0.00036619828,0.028028425,0.0007133717,0.0005159244,0.2143626,0.7545228,0.000033087752],"about_ca_topic_score_codex":0.014543922,"about_ca_topic_score_gemma":0.010598333,"teacher_disagreement_score":0.018550387,"about_ca_system_score_codex":0.010788842,"about_ca_system_score_gemma":0.0065435977,"threshold_uncertainty_score":0.0782789},"labels":[],"label_agreement":null},{"id":"W7011637880","doi":"","title":"Modélisation des potentiels économiques, énergétiques et environnementaux de ruptures comportementales pour décarboner le secteur énergétique du Québec","year":2023,"lang":"fr","type":"dissertation","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Limiting; Nucleofection","score_opus":0.009167846354636149,"score_gpt":0.19390049776415752,"score_spread":0.18473265140952136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011637880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5937709,0.0032364945,0.27241403,0.0039645038,0.0006202523,0.0003556121,0.004721028,0.0011287538,0.119788416],"genre_scores_gemma":[0.95594394,0.0013110668,0.016505057,0.00015672774,0.000036662877,0.00016312562,0.000975056,0.00010709401,0.024801249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998016,0.000040131752,0.000008546475,0.000043059852,0.00005488971,0.00005175482],"domain_scores_gemma":[0.999587,0.00014089727,0.000030994088,0.000025973326,0.00017011313,0.00004498883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043590556,0.00076273707,0.000622477,0.0005256973,0.0011078413,0.002049178,0.0012448474,0.0018928698,0.006599009],"category_scores_gemma":[0.0012169755,0.00046141402,0.0010737706,0.00060984236,0.0007376014,0.0010884694,0.00081722735,0.0013859998,0.00045665054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003883311,0.000028989367,0.0031300145,0.00008364171,0.00004007945,0.00011844441,0.000081930666,0.98389983,0.0014518722,0.0054101683,0.0010671008,0.0046491423],"study_design_scores_gemma":[0.00001289436,0.000029794533,0.0017149602,0.000030830386,0.000030354026,0.00001833945,0.00010988443,0.992128,0.0005312362,0.0015786197,0.003796985,0.00001811941],"about_ca_topic_score_codex":0.5071888,"about_ca_topic_score_gemma":0.4629127,"teacher_disagreement_score":0.4928112,"about_ca_system_score_codex":0.004524253,"about_ca_system_score_gemma":0.0064557046,"threshold_uncertainty_score":0.99142694},"labels":[],"label_agreement":null},{"id":"W7011824313","doi":"","title":"New Flyer Battery-Electric Buses Enter Into Service With Winnipeg Transit - Commodities (COMMODIT) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Service (business); Transit (satellite); Postal service; Public transport; Service provider","score_opus":0.004362142135568473,"score_gpt":0.17345107134793777,"score_spread":0.1690889292123693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011824313","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037930214,0.0008379137,0.00040308846,0.009197382,0.00431529,0.00008904617,0.003277383,0.0005675212,0.9775194],"genre_scores_gemma":[0.0038070497,0.0003080821,0.0001292873,0.00084770663,0.00013429786,0.000006770638,0.0007128786,0.00013439651,0.9939196],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995863,0.000011939731,0.000005600476,0.000032502914,0.00023257858,0.00013109233],"domain_scores_gemma":[0.99955326,0.000024578687,0.000015464064,0.000023830138,0.00022014287,0.00016256422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030572704,0.00058786926,0.00020338935,0.000778314,0.002241204,0.0044869254,0.0005248119,0.0015792158,0.18475398],"category_scores_gemma":[0.0010798208,0.00031092693,0.00039113202,0.00060509564,0.00042310663,0.0013106414,0.0011777097,0.0021280048,0.05074688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029077573,0.000009671623,0.00027394286,0.00001987011,0.0000019535717,0.00013225272,0.000062046645,0.00003662376,0.00020456688,0.0038538727,0.9800786,0.015297495],"study_design_scores_gemma":[0.0000031786296,0.0000043884797,0.0009413026,0.00001271093,0.0000017087053,0.000023941042,0.00008765106,0.000056373836,0.00016583562,0.00017407408,0.9985259,0.0000029959012],"about_ca_topic_score_codex":0.25100198,"about_ca_topic_score_gemma":0.57878846,"teacher_disagreement_score":0.74899805,"about_ca_system_score_codex":0.0031081378,"about_ca_system_score_gemma":0.004155184,"threshold_uncertainty_score":0.6180637},"labels":[],"label_agreement":null},{"id":"W7014204160","doi":"","title":"Optimize performance of second life batteries in an electric vehicle charging network","year":2024,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric vehicle; Electric network; Electronics; Degree (music); Battery (electricity); Electronic equipment; Electronic systems","score_opus":0.004183203611422563,"score_gpt":0.17308255288237062,"score_spread":0.16889934927094805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014204160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9246761,0.00084893144,0.051410515,0.0003726009,0.00008527243,0.00008218593,0.0001815909,0.00044460403,0.021898119],"genre_scores_gemma":[0.99566036,0.00009876838,0.0015411398,0.000014453022,0.000006385556,0.0000088693405,0.0000405265,0.000019770941,0.0026096625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998586,0.000032416658,0.0000041297194,0.00002028722,0.000023001874,0.0000615149],"domain_scores_gemma":[0.9997999,0.00009575667,0.000014618252,0.000008933351,0.00005985663,0.00002098606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028483194,0.0006370874,0.0005370079,0.00027684384,0.00029317208,0.0010685653,0.0005796656,0.0004346479,0.0033953246],"category_scores_gemma":[0.0007350435,0.00015173816,0.00021799562,0.0002532742,0.00020550127,0.0005221514,0.0004407594,0.00027004525,0.00043939747],"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":[0.0006193269,0.00010451844,0.0009231856,0.000066054694,0.000027902339,0.000074700874,0.00004040608,0.95080143,0.0122804325,0.0012393964,0.0009364157,0.03288616],"study_design_scores_gemma":[0.000025442838,0.00038592645,0.0005464304,0.000007297508,0.000026981594,0.000029777424,0.000075467935,0.9880477,0.009472212,0.0008219757,0.00055426743,0.0000064888236],"about_ca_topic_score_codex":0.0037013872,"about_ca_topic_score_gemma":0.00403328,"teacher_disagreement_score":0.0037013872,"about_ca_system_score_codex":0.0011617512,"about_ca_system_score_gemma":0.00056512136,"threshold_uncertainty_score":0.0113584995},"labels":[],"label_agreement":null},{"id":"W7014250849","doi":"","title":"Optimizing Government Investment Strategies in the Electric Vehicle Supply Chains Using Data-Driven Approaches","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Subsidy; Investment (military); Government (linguistics); Electric vehicle; Battery (electricity); Supply chain; Production (economics)","score_opus":0.02312751515481695,"score_gpt":0.20204004372359674,"score_spread":0.1789125285687798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014250849","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41186646,0.0017980876,0.49124324,0.009515611,0.00018971333,0.00094960845,0.002699925,0.00035703118,0.08138034],"genre_scores_gemma":[0.9422515,0.0008640835,0.04415193,0.00030647437,0.000027203376,0.00033671022,0.00047434552,0.000055965673,0.011531704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916136,0.00040037744,0.000023234594,0.00012304106,0.00008705768,0.00020498132],"domain_scores_gemma":[0.9974353,0.0018352324,0.00023774552,0.000051599007,0.00027460602,0.00016571122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018954905,0.0011231033,0.0015330213,0.0008152429,0.0007601514,0.0029973472,0.0012873417,0.0019541013,0.0051298384],"category_scores_gemma":[0.005678304,0.0012022251,0.0010831992,0.001151636,0.0009549841,0.0017016336,0.0010488904,0.0018867358,0.0003506834],"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":[0.000027686174,0.000032655687,0.0005918707,0.000029360013,0.00001533352,0.000032983196,0.000021343576,0.98872024,0.00007158341,0.0070847953,0.0004154824,0.0029567245],"study_design_scores_gemma":[0.000026305697,0.000025666397,0.00030332716,0.000022681383,0.000016356882,0.000004734752,0.000077339464,0.99155664,0.00009745624,0.0069869845,0.0008723401,0.000010135358],"about_ca_topic_score_codex":0.12642778,"about_ca_topic_score_gemma":0.12096349,"teacher_disagreement_score":0.12642778,"about_ca_system_score_codex":0.008543845,"about_ca_system_score_gemma":0.008120425,"threshold_uncertainty_score":0.25138378},"labels":[],"label_agreement":null},{"id":"W7015874002","doi":"","title":"Unveiling of the Electric Vehicle Technology Roadmap for Canada","year":2015,"lang":"en","type":"other","venue":"Automotive industries","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Technology roadmap; Electric vehicle; Automotive industry; Technology forecasting; Auto industry; Commercial vehicle; Electric cars","score_opus":0.006081104620658654,"score_gpt":0.18787792204003398,"score_spread":0.1817968174193753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015874002","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018989675,0.008995889,0.005369931,0.07084614,0.0059030554,0.000584364,0.04992302,0.0015154678,0.83787245],"genre_scores_gemma":[0.08194153,0.009729943,0.0088275075,0.010483984,0.00036193122,0.00015759848,0.023145722,0.0004440056,0.86490786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966524,0.00007089734,0.000045759316,0.00009917427,0.0021584705,0.00097339734],"domain_scores_gemma":[0.995503,0.000069106165,0.000050212795,0.000045752375,0.003297127,0.0010348847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017435455,0.00082201813,0.00036536457,0.0028251857,0.004147305,0.005885885,0.0012013481,0.0028400577,0.029767323],"category_scores_gemma":[0.003189366,0.00041166536,0.0006876758,0.0026015206,0.0008890807,0.0016178602,0.0019085839,0.002866544,0.0058413316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005711346,0.00008427309,0.0026704413,0.00020598264,0.000010311357,0.00017698384,0.00020994555,0.0012650626,0.0005759554,0.03375654,0.9154637,0.04552372],"study_design_scores_gemma":[0.000010419274,0.000014803889,0.008930256,0.000119066826,0.000008260494,0.000038580023,0.0005391327,0.00071009726,0.00036884006,0.0015725241,0.9876686,0.000019420098],"about_ca_topic_score_codex":0.9901564,"about_ca_topic_score_gemma":0.9953904,"teacher_disagreement_score":0.0619059,"about_ca_system_score_codex":0.0619059,"about_ca_system_score_gemma":0.28280166,"threshold_uncertainty_score":0.4491608},"labels":[],"label_agreement":null},{"id":"W7017645606","doi":"","title":"Battery Electric Bus Transit Planning: Operations Research, Applied Mathematical Modelling, and Advanced Optimization Techniques","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Energy consumption; Power (physics); Work (physics); Energy (signal processing); Electric power system; Production (economics)","score_opus":0.012810710568354111,"score_gpt":0.22556004564812887,"score_spread":0.21274933507977475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017645606","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01063921,0.0034889898,0.9681132,0.0011909681,0.00007973405,0.00009478816,0.00036489472,0.00017827936,0.015849987],"genre_scores_gemma":[0.6337569,0.01967913,0.32868007,0.0003099138,0.00035377368,0.000824339,0.0017129761,0.00024483347,0.014438172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952936,0.00019480044,0.000023395152,0.00006469213,0.00014852376,0.000039326438],"domain_scores_gemma":[0.9993381,0.0004205436,0.00008862268,0.00003405229,0.000100875615,0.000017735238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009820692,0.0014364996,0.0009453993,0.0008584837,0.00039897132,0.001909926,0.0008772856,0.00079125585,0.0034432868],"category_scores_gemma":[0.0018636954,0.00061376696,0.00079404534,0.0022891827,0.00064848014,0.0014751393,0.00084236095,0.0017927651,0.0005116596],"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":[0.0000124180515,0.000031184813,0.00033332966,0.000117325275,0.00002025144,0.000024951229,0.000020926693,0.93428886,0.00027770267,0.037986845,0.0016823517,0.025203805],"study_design_scores_gemma":[0.0000032150315,0.000015291349,0.00012667917,0.000028137707,0.000006158181,0.000010575263,0.000022317528,0.97945374,0.00016877343,0.01728049,0.002878531,0.0000060553516],"about_ca_topic_score_codex":0.011703765,"about_ca_topic_score_gemma":0.008271536,"teacher_disagreement_score":0.011703765,"about_ca_system_score_codex":0.0015569237,"about_ca_system_score_gemma":0.0024384486,"threshold_uncertainty_score":0.023271263},"labels":[],"label_agreement":null},{"id":"W7017821819","doi":"","title":"Canadian NAFTA negotiator says 'encouraged' by U.S.-Mexico progress","year":2018,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Negotiation; Government (linguistics); Work (physics)","score_opus":0.0019748723967444428,"score_gpt":0.17312736351401875,"score_spread":0.17115249111727432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017821819","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003278949,0.0016705209,0.0003565831,0.07555403,0.001938829,0.000095605894,0.0061612567,0.00039232784,0.91055185],"genre_scores_gemma":[0.011247486,0.0006909292,0.0003045949,0.010154272,0.0001556134,0.00004901774,0.0009201536,0.00013346966,0.97634447],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976205,0.000068238944,0.000035949215,0.00020054495,0.0013201792,0.00075457635],"domain_scores_gemma":[0.99809426,0.00014075033,0.000046567675,0.000075956625,0.0014400962,0.00020241775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011964012,0.0006117562,0.00048864854,0.0013926831,0.012891703,0.007408198,0.0012725324,0.008348997,0.1226644],"category_scores_gemma":[0.0039486443,0.0005180577,0.0006068838,0.0020682132,0.0013485079,0.002020569,0.0018243957,0.006516918,0.015626939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020241767,0.000012062832,0.0005304618,0.000031364187,0.0000033000504,0.0000830762,0.00020063923,0.00003008198,0.000109814115,0.024786338,0.96937907,0.00481361],"study_design_scores_gemma":[0.000007269219,0.0000028194547,0.0013294583,0.000031587402,0.0000061478568,0.000016798036,0.00029235103,0.000027753156,0.00016115821,0.000422445,0.9976947,0.000007568573],"about_ca_topic_score_codex":0.94291496,"about_ca_topic_score_gemma":0.97846013,"teacher_disagreement_score":0.1226644,"about_ca_system_score_codex":0.027370473,"about_ca_system_score_gemma":0.054298032,"threshold_uncertainty_score":0.41035324},"labels":[],"label_agreement":null},{"id":"W7018731216","doi":"","title":"Electrovaya to Provide Repurposed Electric Vehicle Lithium Ion Battery Energy Storage System (BESS) to Manitoba Hydro (MRW)","year":2011,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Battery (electricity); Energy storage; Lithium-ion battery; Electric vehicle; Automotive battery","score_opus":0.004751243394621226,"score_gpt":0.16916521281074956,"score_spread":0.16441396941612835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018731216","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092412665,0.00041994554,0.008853507,0.0023338175,0.00052574783,0.0011993985,0.0072140507,0.0060228133,0.88101816],"genre_scores_gemma":[0.089106664,0.00028986146,0.003172,0.00038518212,0.000021519105,0.0001071876,0.0023860198,0.00034543232,0.90418607],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998611,0.000009329666,0.0000027847273,0.000017085355,0.00006906357,0.000040727693],"domain_scores_gemma":[0.99962926,0.000016176255,0.000009919856,0.000038868377,0.00025397434,0.000051898267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022490154,0.00047761772,0.00012523358,0.00070120784,0.0016313687,0.00081392756,0.00094103883,0.0005459488,0.12034952],"category_scores_gemma":[0.00038565786,0.0002827923,0.0002271447,0.0004545509,0.00031388266,0.000585533,0.0008365776,0.0006806322,0.018231813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007963603,0.0008659195,0.01528328,0.0004884231,0.000045751432,0.0015709503,0.0008459763,0.0031141355,0.05955687,0.012296786,0.58138174,0.3237538],"study_design_scores_gemma":[0.00015889906,0.0002522101,0.023093984,0.000089006964,0.000018633313,0.00046731014,0.00089451164,0.0048415856,0.024933353,0.00091150345,0.9443135,0.000025638992],"about_ca_topic_score_codex":0.17676385,"about_ca_topic_score_gemma":0.46207285,"teacher_disagreement_score":0.17676385,"about_ca_system_score_codex":0.0021923522,"about_ca_system_score_gemma":0.0058739837,"threshold_uncertainty_score":0.4026093},"labels":[],"label_agreement":null},{"id":"W7018838159","doi":"","title":"eMotorWerks Partners with Autochargers.ca Corporation to Manufacture and Resell Smart-Grid Electric Vehicle Charging Platform in Canada | Stock Market | NYSE Composite Stock Quote | NYA Company Stock Market Quotes","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Corporation; Stock (firearms); Stock market; Stock exchange; Electric vehicle; Primary market","score_opus":0.008398515600724459,"score_gpt":0.20943708138273864,"score_spread":0.20103856578201418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018838159","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009559475,0.0002264704,0.0009719925,0.00067849207,0.0004325321,0.000093856615,0.0019822074,0.002214915,0.9924436],"genre_scores_gemma":[0.0034229255,0.00017629401,0.00035725266,0.00013033689,0.000051507588,0.00001700214,0.0017112024,0.00039761895,0.9937358],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994223,0.000015365755,0.000010937856,0.00006081471,0.0003970855,0.00009344218],"domain_scores_gemma":[0.99795216,0.000060176368,0.00004283358,0.00014812656,0.0012889069,0.0005079006],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046089623,0.00082979875,0.00038739355,0.0013997275,0.0018559315,0.0042114765,0.000604376,0.0013618013,0.58671725],"category_scores_gemma":[0.0014677576,0.00050463673,0.00045389018,0.00095436745,0.00041730882,0.0020895815,0.0010881713,0.0014125891,0.4739001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004705383,0.00007489365,0.00039108022,0.000038672657,0.0000029498303,0.000050238275,0.000027614074,0.00009177318,0.00084488955,0.0023325256,0.94919837,0.046899933],"study_design_scores_gemma":[0.000017419834,0.000024155583,0.0011840782,0.00002907,0.000004405209,0.000051983156,0.00005171081,0.00037740063,0.0007983375,0.00037569937,0.99707735,0.00000845282],"about_ca_topic_score_codex":0.05252881,"about_ca_topic_score_gemma":0.12934673,"teacher_disagreement_score":0.9474712,"about_ca_system_score_codex":0.0021369704,"about_ca_system_score_gemma":0.005534789,"threshold_uncertainty_score":0.5894977},"labels":[],"label_agreement":null},{"id":"W7018841108","doi":"","title":"Electric vehicle implications of disaster induced power outages","year":2023,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Electrification; Vulnerability (computing); Power grid; Duration (music); Electric power system; Power (physics); Mainland","score_opus":0.014455575516087114,"score_gpt":0.2550870409062916,"score_spread":0.24063146539020447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018841108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97065955,0.00024307398,0.003288272,0.0018311497,0.00008810083,0.000049253336,0.0007481375,0.00008021074,0.02301228],"genre_scores_gemma":[0.9975103,0.00020441381,0.00018662371,0.000038957995,0.000004819696,0.0000061416117,0.00012705554,0.000005252117,0.001916417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998204,0.000055365963,0.000006904841,0.000020483298,0.00004357797,0.000053252545],"domain_scores_gemma":[0.99912935,0.00047312598,0.00010668385,0.000033319888,0.00018202966,0.00007551668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031820184,0.0002082529,0.00016809277,0.0002573171,0.00047058862,0.0008587848,0.0003357145,0.00054407894,0.004846359],"category_scores_gemma":[0.0019952422,0.00014429784,0.00023964411,0.00033711427,0.0003524183,0.0006224224,0.00054267043,0.0006547172,0.00032778239],"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":[0.0003619541,0.00024226103,0.09271136,0.00021070192,0.00007744952,0.003665766,0.0007357433,0.85487646,0.004418369,0.012531593,0.008404758,0.021763626],"study_design_scores_gemma":[0.00010719488,0.0007710799,0.14522827,0.00015330229,0.00008938565,0.0011768861,0.011624027,0.79484504,0.003748657,0.023996653,0.018170444,0.00008909425],"about_ca_topic_score_codex":0.029096993,"about_ca_topic_score_gemma":0.02794258,"teacher_disagreement_score":0.029096993,"about_ca_system_score_codex":0.0012493529,"about_ca_system_score_gemma":0.0007966058,"threshold_uncertainty_score":0.05785525},"labels":[],"label_agreement":null},{"id":"W7019241554","doi":"","title":"GM Continues to Facilitate EV Adoption, Tripling Employee Workplace Electric Vehicle Charging Availability Across U.S. and Canada – Press Releases on CSRwire.com","year":2020,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Work (physics); Commercial vehicle; Government (linguistics)","score_opus":0.011442701153001451,"score_gpt":0.20412643882982706,"score_spread":0.19268373767682562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019241554","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023135688,0.00087659125,0.0042042867,0.031057185,0.0006186939,0.00023422393,0.026390834,0.0058696037,0.90761304],"genre_scores_gemma":[0.15359756,0.0017004428,0.009319968,0.011175389,0.00016451365,0.00013859847,0.022908153,0.001543115,0.7994522],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811447,0.00007653785,0.000019039464,0.00013883847,0.0010681282,0.00058306113],"domain_scores_gemma":[0.9925638,0.00033294453,0.00017875261,0.0003246592,0.0051121507,0.0014876751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014632967,0.00035099412,0.0001415414,0.0012270111,0.0025483465,0.0023055759,0.000966437,0.0012544744,0.085408695],"category_scores_gemma":[0.0055040983,0.00025632835,0.00035031687,0.0018329342,0.0009161998,0.0012362213,0.0020387627,0.0015115157,0.021523826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046337955,0.00008436093,0.0062255105,0.00013280725,0.0000062693125,0.00006048712,0.00055450015,0.00032423247,0.0017796106,0.0062254537,0.85714453,0.12741594],"study_design_scores_gemma":[0.000014113958,0.00002764618,0.031071747,0.00008089262,0.000004718175,0.00003727569,0.0008271433,0.00043340077,0.00092085847,0.0005111014,0.9660534,0.000017620507],"about_ca_topic_score_codex":0.9066603,"about_ca_topic_score_gemma":0.9576171,"teacher_disagreement_score":0.09333968,"about_ca_system_score_codex":0.011533704,"about_ca_system_score_gemma":0.055785242,"threshold_uncertainty_score":0.28572053},"labels":[],"label_agreement":null},{"id":"W7019480499","doi":"","title":"34 fast-charging stations to electrify Trans-Canada Highway - PetrolPlaza","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Work (physics); Electrocution; Welding","score_opus":0.004057692305595416,"score_gpt":0.1911045076395355,"score_spread":0.18704681533394008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019480499","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021208819,0.00043456256,0.003167984,0.0016702128,0.0004230277,0.000598222,0.012773911,0.0011986173,0.95852464],"genre_scores_gemma":[0.050808206,0.00050146255,0.0016091948,0.00041695192,0.00003654107,0.000066351975,0.004566865,0.0002043508,0.94179004],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926144,0.000032621978,0.000011568602,0.000051969495,0.0003762016,0.00026622455],"domain_scores_gemma":[0.9988427,0.000053819316,0.000021131375,0.000054350116,0.0008454783,0.00018247099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004564001,0.00079185853,0.00018521126,0.0017972899,0.004417032,0.0026498933,0.0010745334,0.0011863308,0.1299515],"category_scores_gemma":[0.0011274468,0.00032353392,0.00062627415,0.0018094237,0.00050282583,0.0006439409,0.0012525783,0.0013368719,0.023670575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017728118,0.0002936958,0.010138923,0.00021774786,0.000029864175,0.00041847932,0.00047321166,0.0034772109,0.0025465742,0.022163732,0.8043146,0.15574868],"study_design_scores_gemma":[0.0000409127,0.000041158855,0.016395465,0.000090876536,0.000020543495,0.00008661532,0.0011134034,0.002097651,0.0020824347,0.0010609644,0.97694564,0.00002436178],"about_ca_topic_score_codex":0.862412,"about_ca_topic_score_gemma":0.94759023,"teacher_disagreement_score":0.13758802,"about_ca_system_score_codex":0.010082898,"about_ca_system_score_gemma":0.02861031,"threshold_uncertainty_score":0.43473113},"labels":[],"label_agreement":null},{"id":"W7019990876","doi":"","title":"Installation of Charging Infrastructure for Electric Vehicles in Multi-Unit Residential Buildings in British Columbia","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Work (physics); Electricity; Renewable energy; Greenhouse gas; Electrification; Process (computing); Range (aeronautics)","score_opus":0.007171161253814675,"score_gpt":0.18487852899246632,"score_spread":0.17770736773865164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019990876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917887,0.00013254191,0.00016780166,0.00026926256,0.0000045110405,0.000029032746,0.00017978916,0.000013206441,0.007415186],"genre_scores_gemma":[0.9954817,0.00014953941,0.00023375475,0.000039115337,9.607887e-7,0.000011312553,0.000100710255,0.000004032754,0.0039789025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994584,0.00007143255,0.000016398133,0.00005829504,0.00012464926,0.00027082127],"domain_scores_gemma":[0.9990282,0.0001240222,0.00015479153,0.00003901348,0.000363055,0.00029093606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021651475,0.00016934212,0.0002004717,0.00056373957,0.003341792,0.0015560647,0.0010231443,0.00038090264,0.004336737],"category_scores_gemma":[0.0011215408,0.00030722245,0.00015046378,0.001415647,0.00092601596,0.00055206596,0.0014098181,0.00062818744,0.00035165998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022875484,0.00036767597,0.8481004,0.00037053213,0.00005662279,0.004437462,0.015831646,0.0035019622,0.005698184,0.0036692673,0.0081444075,0.10959294],"study_design_scores_gemma":[0.0000080045975,0.000076975906,0.9219834,0.00014789603,0.000020938402,0.0004641338,0.0626529,0.0026202926,0.0007292006,0.00021345013,0.011038863,0.000044012275],"about_ca_topic_score_codex":0.96059567,"about_ca_topic_score_gemma":0.99045944,"teacher_disagreement_score":0.039404333,"about_ca_system_score_codex":0.017625537,"about_ca_system_score_gemma":0.01539565,"threshold_uncertainty_score":0.12788284},"labels":[],"label_agreement":null},{"id":"W7020494091","doi":"","title":"Leclanché, eCAMION and SGEM to Build and Operate Network of 34 Electric Vehicle Fast-Charging Stations Along Trans-Canada Highway | AltEnergyMag","year":2017,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Vehicle tracking system; Automatic vehicle location; Work (physics); Key (lock)","score_opus":0.003558112143682964,"score_gpt":0.18180424593138778,"score_spread":0.17824613378770482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020494091","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00827962,0.00030720627,0.0056352904,0.0037798102,0.000685701,0.00042381143,0.016274104,0.0043016127,0.9603128],"genre_scores_gemma":[0.01441253,0.00014298262,0.0018600139,0.00033653912,0.000033300857,0.000051298157,0.0052108355,0.00066118466,0.9772913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991966,0.000032855172,0.000007965646,0.00006606906,0.00041010985,0.00028643993],"domain_scores_gemma":[0.9983411,0.00007917646,0.00003628809,0.00012020902,0.00097562274,0.00044750664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071525533,0.0009173449,0.0002533882,0.0014195227,0.0025548756,0.0021850262,0.0009981076,0.001316724,0.28022897],"category_scores_gemma":[0.0013145875,0.00031392276,0.00043905477,0.00093044766,0.00060458924,0.00087330735,0.0014106083,0.0016697922,0.117778234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013054574,0.000225651,0.0037013327,0.000088728135,0.00001260097,0.0001743779,0.00012216267,0.0010606054,0.0018639853,0.010188528,0.88956916,0.09286238],"study_design_scores_gemma":[0.000020159714,0.000021833674,0.003570421,0.000031744305,0.000003005317,0.00003460684,0.00013829027,0.0007554279,0.0011200621,0.0005545053,0.9937412,0.000008916161],"about_ca_topic_score_codex":0.5166396,"about_ca_topic_score_gemma":0.77739304,"teacher_disagreement_score":0.4833604,"about_ca_system_score_codex":0.0060438314,"about_ca_system_score_gemma":0.019993784,"threshold_uncertainty_score":0.972414},"labels":[],"label_agreement":null},{"id":"W7020851775","doi":"","title":"Mercedes-Benz sells electric vans for European Amazon deliveries","year":2020,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Amazon rainforest; Government (linguistics); Quarter (Canadian coin); European union; Work (physics)","score_opus":0.005043932749374806,"score_gpt":0.18025543965817892,"score_spread":0.1752115069088041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020851775","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002168391,0.00042327904,0.0019122026,0.001290055,0.0005267283,0.00005531796,0.0057457983,0.002020297,0.98585796],"genre_scores_gemma":[0.011131558,0.00038807292,0.0008513826,0.000370967,0.00006335261,0.000020215446,0.0044733747,0.00067694765,0.98202413],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995303,0.000029062972,0.000008364016,0.00006237012,0.0002606412,0.00010929596],"domain_scores_gemma":[0.9994161,0.0000340294,0.0000348425,0.000062716856,0.0002916645,0.00016067353],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042269618,0.00092451985,0.00027368567,0.0011572262,0.0009785482,0.002547337,0.000729381,0.0014877964,0.3458331],"category_scores_gemma":[0.0012958982,0.00030438366,0.00045127966,0.0010133175,0.00039853054,0.001771146,0.0011681269,0.0013886576,0.16257861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013099327,0.00009885891,0.0005893567,0.00011177424,0.000007772372,0.00012257164,0.00003831215,0.0004236466,0.0012896364,0.028678764,0.87064004,0.09786831],"study_design_scores_gemma":[0.000013927158,0.00002231911,0.00067157304,0.000027429394,0.000003500845,0.000062140956,0.00004543356,0.0007265648,0.00059707795,0.001848136,0.99597555,0.000006338607],"about_ca_topic_score_codex":0.03560357,"about_ca_topic_score_gemma":0.063797295,"teacher_disagreement_score":0.3458331,"about_ca_system_score_codex":0.0017551541,"about_ca_system_score_gemma":0.0023054313,"threshold_uncertainty_score":0.9330897},"labels":[],"label_agreement":null},{"id":"W7022412765","doi":"","title":"The beast in me","year":2011,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Journalism; Work (physics); Agency (philosophy); Theme (computing)","score_opus":0.02575667142032379,"score_gpt":0.30291011412255014,"score_spread":0.27715344270222636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7022412765","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019837196,0.005775996,0.0011225452,0.11810727,0.024945231,0.00005418036,0.0005324724,0.0005645413,0.846914],"genre_scores_gemma":[0.011513642,0.001775985,0.00039800841,0.020095352,0.0016000902,0.000025484636,0.00016686453,0.00046984188,0.96395475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981139,0.00045366684,0.00003576348,0.0002307874,0.0006948497,0.00047101555],"domain_scores_gemma":[0.99547607,0.0002588982,0.00014152694,0.00025765775,0.001226578,0.002639202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015642853,0.0007557631,0.0005657473,0.00093412644,0.012551349,0.011643947,0.00094959245,0.0026155468,0.2507079],"category_scores_gemma":[0.008216584,0.00032321888,0.00049095025,0.0010397042,0.0034046264,0.008612094,0.00663887,0.0070205126,0.13715747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011547174,0.000011381038,0.00018292198,0.000025258485,0.0000021928918,0.00010807032,0.0029920002,0.000008137813,0.00008170298,0.013250477,0.9659466,0.017379528],"study_design_scores_gemma":[0.0000010691907,0.0000027056574,0.000091724556,0.000033737626,6.5383443e-7,0.00006339956,0.0021235289,0.0000038027472,0.000016215175,0.0008178506,0.9968418,0.000003461318],"about_ca_topic_score_codex":0.037272763,"about_ca_topic_score_gemma":0.0919617,"teacher_disagreement_score":0.2507079,"about_ca_system_score_codex":0.003692337,"about_ca_system_score_gemma":0.0052030804,"threshold_uncertainty_score":0.8387015},"labels":[],"label_agreement":null},{"id":"W7023780360","doi":"","title":"Opus One Solutions Partners with Anvil Crawler Development Corp. to Enable Widespread Adoption of Electric Vehicle Infrastructure Across Canada","year":2021,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Web crawler; Electric vehicle; Key (lock); Opus","score_opus":0.008652025381492847,"score_gpt":0.20623206653866896,"score_spread":0.19758004115717612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023780360","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010809707,0.0006770008,0.017010013,0.008198552,0.0006566039,0.00048364565,0.006895589,0.0083596045,0.9469093],"genre_scores_gemma":[0.053391065,0.00085139414,0.013444382,0.0014116993,0.000045744946,0.000121138044,0.00918741,0.0013736972,0.9201734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762934,0.00008185919,0.000026695789,0.00016857975,0.0014786295,0.0006150205],"domain_scores_gemma":[0.9923213,0.00016225969,0.000086022505,0.00023291999,0.005888831,0.0013087158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012315982,0.00094634417,0.0002679461,0.0017645798,0.0037990275,0.004519254,0.0010287175,0.001341832,0.09344398],"category_scores_gemma":[0.0026890198,0.00042445507,0.00040564628,0.0015485053,0.0011290531,0.0017195647,0.0026149647,0.0018795647,0.029986532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001055469,0.00017546809,0.004590898,0.00015856378,0.000018339377,0.00022618148,0.0005841912,0.0008940026,0.0059518097,0.033494648,0.80308425,0.15071611],"study_design_scores_gemma":[0.00002348905,0.000039552266,0.0037281017,0.00005239324,0.000011255947,0.00007433576,0.0008044115,0.0025028635,0.0019862305,0.0013547556,0.9894007,0.000021887856],"about_ca_topic_score_codex":0.9117943,"about_ca_topic_score_gemma":0.947028,"teacher_disagreement_score":0.09344398,"about_ca_system_score_codex":0.01682202,"about_ca_system_score_gemma":0.05285724,"threshold_uncertainty_score":0.31260127},"labels":[],"label_agreement":null},{"id":"W7024010791","doi":"","title":"Quel avenir pour les véhicules utilitaires légers électriques ? : une analyse prospective du marché des vans électriques pour le transport de marchandises en ville","year":2018,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Rail transportation; Transportation infrastructure; Retail trade; Limiting","score_opus":0.007905868074244753,"score_gpt":0.22172517735411926,"score_spread":0.2138193092798745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024010791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85713106,0.0033991134,0.034996305,0.0018966265,0.00012877714,0.00017509848,0.001819083,0.00013935832,0.1003147],"genre_scores_gemma":[0.95614433,0.0017419306,0.007118242,0.00007225013,0.000021744083,0.000085057116,0.00073084014,0.0000909057,0.033994667],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994954,0.00010838373,0.000019401245,0.00010037095,0.00018405773,0.00009234558],"domain_scores_gemma":[0.9992168,0.00028732422,0.00010072216,0.000041970867,0.00029403303,0.000059148068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544326,0.0004278908,0.00032528324,0.0009595009,0.0006917376,0.004104137,0.0007656709,0.00083246524,0.010884679],"category_scores_gemma":[0.0024572052,0.00032421263,0.0007911583,0.0017074797,0.00057852524,0.002480334,0.00078122946,0.00063439657,0.0014292368],"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":[0.0009566184,0.00031807294,0.28616834,0.0028716992,0.0007465386,0.00418804,0.026628172,0.15380383,0.02115456,0.18230729,0.014589681,0.30626714],"study_design_scores_gemma":[0.00004903086,0.0006837688,0.37828767,0.001317176,0.00060941215,0.0015104017,0.1013595,0.16810931,0.00791595,0.040658087,0.29921335,0.00028640038],"about_ca_topic_score_codex":0.044037785,"about_ca_topic_score_gemma":0.058785208,"teacher_disagreement_score":0.044037785,"about_ca_system_score_codex":0.002206789,"about_ca_system_score_gemma":0.001438758,"threshold_uncertainty_score":0.08756292},"labels":[],"label_agreement":null},{"id":"W7024233043","doi":"","title":"PV ENABLED NET ZERO EV CHARGING STATION: SYSTEM DESIGN AND SIMULATION STUDY","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Photovoltaic system; Renewable energy; Charging station; Grid; Solar energy; Zero-energy building; Work (physics); Electricity generation; Power (physics); Systems design","score_opus":0.007323613497165294,"score_gpt":0.187508977646525,"score_spread":0.1801853641493597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024233043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7930144,0.0009183847,0.11836552,0.00080859376,0.00016753022,0.00043496114,0.002779377,0.0013405607,0.08217065],"genre_scores_gemma":[0.9861827,0.00026034785,0.0057168454,0.000046791403,0.000009876013,0.00016759442,0.00048959703,0.000027757778,0.007098473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982375,0.00005182675,0.000009483229,0.000026380492,0.000050678784,0.00003791032],"domain_scores_gemma":[0.9997316,0.00012021927,0.00002761662,0.000016507442,0.000084402236,0.00001962378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024569393,0.0005501303,0.00082790165,0.00040971427,0.00062269915,0.0011025182,0.00089896104,0.000990665,0.0064462577],"category_scores_gemma":[0.00041525898,0.00023959228,0.00083332637,0.0005575845,0.0002807426,0.0004873603,0.00051304436,0.00075049914,0.00054164673],"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":[0.000115291856,0.00006710974,0.002475845,0.00014354174,0.00003443021,0.00024634728,0.00006475606,0.9885052,0.0014197703,0.0013646091,0.0009857091,0.004577412],"study_design_scores_gemma":[0.000015554137,0.00008522319,0.0005350163,0.000009704121,0.000015179633,0.000028479135,0.000060656548,0.9975439,0.0005817441,0.0002908847,0.0008276551,0.000006015275],"about_ca_topic_score_codex":0.018119888,"about_ca_topic_score_gemma":0.013504533,"teacher_disagreement_score":0.018119888,"about_ca_system_score_codex":0.0009256874,"about_ca_system_score_gemma":0.0008010639,"threshold_uncertainty_score":0.036028862},"labels":[],"label_agreement":null},{"id":"W7025390786","doi":"","title":"Well-to-wheels energy efficiency analysis of plug-in electric vehicles including varying charging regimes","year":2013,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric energy; Work (physics); Electricity; Power (physics); Power grid; Electric power","score_opus":0.012239996586599357,"score_gpt":0.24185519135595268,"score_spread":0.22961519476935333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025390786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564,0.0003290248,0.027319143,0.00009528292,0.000020360401,0.00003925334,0.00038285682,0.00015067474,0.01526341],"genre_scores_gemma":[0.9978661,0.000064831635,0.00059211964,0.0000050303606,0.000001004953,0.0000065272134,0.00014974142,0.000010521221,0.001304265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984455,0.000023326636,0.0000067078217,0.00002138171,0.00006493119,0.0000390575],"domain_scores_gemma":[0.9997737,0.00008954325,0.000018288427,0.000023968763,0.00008665423,0.000007926646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028431645,0.00030259005,0.0002957591,0.00063204864,0.00025478285,0.0008100707,0.00036459148,0.00026780332,0.0019439851],"category_scores_gemma":[0.00056370086,0.00014447227,0.00053464674,0.0005190525,0.00017507655,0.0005058318,0.00020759708,0.00022150275,0.00033765912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054511375,0.00021408961,0.031068897,0.00018136758,0.00011980145,0.00031285043,0.000099088706,0.87623227,0.019130467,0.0049806265,0.001672257,0.06544315],"study_design_scores_gemma":[0.0000053140543,0.00012117776,0.017818961,0.000009843826,0.000023892877,0.000031508174,0.0001620746,0.9728852,0.007257272,0.00071447477,0.00095841306,0.000011787058],"about_ca_topic_score_codex":0.019206215,"about_ca_topic_score_gemma":0.014752333,"teacher_disagreement_score":0.9807938,"about_ca_system_score_codex":0.0008125714,"about_ca_system_score_gemma":0.00031335134,"threshold_uncertainty_score":0.038188875},"labels":[],"label_agreement":null},{"id":"W7027126571","doi":"","title":"Canada Takes Bold Step Towards Sustainable Transportation with 100% Electric Vehicle Mandate by 2035","year":2023,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Mandate; Electric vehicle; Sustainable transport; Public transport; Sustainability; Work (physics)","score_opus":0.0019626207132445927,"score_gpt":0.1595765750164279,"score_spread":0.1576139543031833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027126571","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007714622,0.0023506142,0.0020397753,0.1450348,0.0073924605,0.00058769196,0.038326617,0.0013383162,0.7952152],"genre_scores_gemma":[0.02510256,0.0014233092,0.0030237776,0.08053643,0.00038476835,0.0002560083,0.005445489,0.00025166,0.8835759],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938083,0.00016563697,0.00011387776,0.00018220503,0.0034055512,0.0023243441],"domain_scores_gemma":[0.9925954,0.0002417009,0.00010286668,0.00015332003,0.004527604,0.0023791906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002530973,0.0010178345,0.0007163569,0.0019725526,0.00836834,0.0060529704,0.003051545,0.011189786,0.060958844],"category_scores_gemma":[0.006576569,0.0009017994,0.0017454321,0.0015850668,0.0019833434,0.0014998479,0.0034602354,0.00718813,0.015393595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025672634,0.00004440121,0.0008803013,0.00008900815,0.000013268672,0.0001245233,0.000080357815,0.00030877357,0.00023120582,0.022381322,0.9684088,0.007412464],"study_design_scores_gemma":[0.000031080006,0.0000126593995,0.0052304687,0.00012453907,0.0000145670865,0.000045715642,0.00030918696,0.00033974941,0.0002935218,0.0023996164,0.9911602,0.000038537568],"about_ca_topic_score_codex":0.98758394,"about_ca_topic_score_gemma":0.9940084,"teacher_disagreement_score":0.060958844,"about_ca_system_score_codex":0.053788006,"about_ca_system_score_gemma":0.3533203,"threshold_uncertainty_score":0.3902611},"labels":[],"label_agreement":null},{"id":"W7028101630","doi":"","title":"Electrification Drives Change: Laneway Home Challenges in Vancouver","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electrification; Government (linguistics); Work (physics); Agency (philosophy)","score_opus":0.01637886648161643,"score_gpt":0.21311294012653775,"score_spread":0.19673407364492132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028101630","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13695471,0.0021692144,0.0005041683,0.052341975,0.000775203,0.000084544496,0.0025718098,0.00017079564,0.8044276],"genre_scores_gemma":[0.21471006,0.0024371273,0.0004680592,0.0037524668,0.00008766955,0.00003812223,0.0008212298,0.000102909304,0.77758235],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994892,0.000044106862,0.000008735903,0.000025010038,0.0001496211,0.00028336237],"domain_scores_gemma":[0.9991103,0.00004808132,0.00001614493,0.000020775427,0.0004107022,0.0003940151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026472806,0.00022246789,0.00015393418,0.0004086428,0.00577378,0.005719379,0.0007754845,0.0019168449,0.04753417],"category_scores_gemma":[0.00106001,0.00014547948,0.000162182,0.0010874444,0.000721981,0.0010928051,0.002064416,0.0017796532,0.003954633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012807561,0.0002625718,0.03458473,0.00027981173,0.000020552083,0.0016905232,0.0056235706,0.0012563898,0.00072873366,0.038891513,0.6698558,0.24667773],"study_design_scores_gemma":[0.000019351597,0.000034372308,0.04425349,0.00021763034,0.000011451685,0.00022836542,0.039248254,0.0009104281,0.000372054,0.0032724177,0.9114035,0.000028602206],"about_ca_topic_score_codex":0.923092,"about_ca_topic_score_gemma":0.9866976,"teacher_disagreement_score":0.07690799,"about_ca_system_score_codex":0.013336375,"about_ca_system_score_gemma":0.030961698,"threshold_uncertainty_score":0.15901762},"labels":[],"label_agreement":null},{"id":"W7034364562","doi":"","title":"SWTCH Energy &amp;amp; Electric Circuit Expands EV Charging Across Canada &amp;amp; United States","year":2022,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Energy (signal processing); Electric energy; Electricity; Current (fluid)","score_opus":0.00974898507879726,"score_gpt":0.21435093424196827,"score_spread":0.204601949163171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034364562","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022697302,0.00008216229,0.00051985576,0.0010749059,0.00032121703,0.00010642929,0.0025983816,0.000507831,0.9925195],"genre_scores_gemma":[0.0070310365,0.00007262134,0.00031686045,0.00054772024,0.000036685662,0.00001959917,0.00078012404,0.00011244006,0.9910829],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941766,0.000015076979,0.000006471066,0.000040365485,0.00033985067,0.00018058701],"domain_scores_gemma":[0.9985538,0.00007478279,0.000020181638,0.0000719295,0.0010014055,0.00027775695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029712162,0.00064394297,0.0002667313,0.0015928554,0.0037696124,0.0023681363,0.00073897233,0.0024085015,0.2810287],"category_scores_gemma":[0.0010415447,0.0003839248,0.00051481696,0.0007535539,0.00068780954,0.00076179457,0.00092145073,0.0015473401,0.09915276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048208487,0.00008202206,0.0008171152,0.000038881324,0.000004279673,0.00011008828,0.00004669845,0.00032636654,0.00092200976,0.007654941,0.9415777,0.048371647],"study_design_scores_gemma":[0.00002119222,0.000029088076,0.0032831917,0.00003766546,0.000005093321,0.000074326126,0.00013094049,0.0010075519,0.0013091563,0.0011290801,0.99296075,0.0000119587],"about_ca_topic_score_codex":0.38718322,"about_ca_topic_score_gemma":0.6862121,"teacher_disagreement_score":0.6128168,"about_ca_system_score_codex":0.0061600963,"about_ca_system_score_gemma":0.01335124,"threshold_uncertainty_score":0.94013464},"labels":[],"label_agreement":null},{"id":"W7034678011","doi":"","title":"Who Has Seen the Wind Benefits? Impacts of Ontario Green Energy Policy on Municipal Community Benefit Agreements from Large Wind Energy Projects","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Renewable energy; Transparency (behavior); Procurement; Energy policy; Local government; Public policy; Government (linguistics); NIMBY","score_opus":0.06564313351882453,"score_gpt":0.2540045247262281,"score_spread":0.18836139120740356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034678011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97034025,0.00012750877,0.00014409765,0.0024196906,0.0000095724745,0.000030625466,0.000115503695,0.0000038157264,0.026808951],"genre_scores_gemma":[0.99679273,0.0001066282,0.00008039651,0.000115841875,0.0000031644392,0.000015537786,0.000033383145,0.0000020963153,0.0028501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99523973,0.0011827913,0.000120667704,0.00021774901,0.0014955789,0.0017435102],"domain_scores_gemma":[0.9895587,0.002469041,0.0026776176,0.0003879691,0.002339762,0.0025669555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036213638,0.00008551448,0.00022270136,0.0004250169,0.005464857,0.0034296107,0.0005281553,0.00058051926,0.0035241935],"category_scores_gemma":[0.011943967,0.00016305031,0.00020743463,0.0011756092,0.0022952186,0.0010563431,0.0019221817,0.0008340732,0.00017935653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006211022,0.00042345235,0.73963374,0.0001921855,0.00007961633,0.0008701622,0.13096707,0.001983967,0.0029543093,0.024855928,0.007956764,0.0894617],"study_design_scores_gemma":[0.000019070965,0.00009953694,0.83565515,0.00009341539,0.000026684109,0.0000487996,0.1266821,0.0004947404,0.00045753733,0.0009888557,0.035403304,0.000030781106],"about_ca_topic_score_codex":0.9111074,"about_ca_topic_score_gemma":0.9785579,"teacher_disagreement_score":0.08889258,"about_ca_system_score_codex":0.04164162,"about_ca_system_score_gemma":0.045230705,"threshold_uncertainty_score":0.30213255},"labels":[],"label_agreement":null},{"id":"W7036204804","doi":"","title":"Architecture territoire information 4.0 : fin de la route : les Coasters de la&#13;\\nBasse-Côte-Nord","year":2024,"lang":"fr","type":"book","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proposition; Context (archaeology); Relation (database); Domain (mathematical analysis)","score_opus":0.002584313282318865,"score_gpt":0.15437673107979588,"score_spread":0.15179241779747701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036204804","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01029467,0.010787009,0.0039529516,0.009585623,0.00072436983,0.000036786394,0.00093611784,0.000392863,0.9632897],"genre_scores_gemma":[0.04317017,0.008525907,0.0031006874,0.00037252912,0.00005311644,0.000020817863,0.0007258962,0.00027491283,0.94375587],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995308,0.000056101962,0.0000133864705,0.000054265438,0.0002408987,0.00010463199],"domain_scores_gemma":[0.9995857,0.000052308114,0.00001683689,0.000034737383,0.00023192746,0.00007855344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005526124,0.00039676274,0.00020430442,0.0011990503,0.004241581,0.0076720975,0.00061377743,0.0010326323,0.03482643],"category_scores_gemma":[0.00092473044,0.00034560345,0.0002573301,0.0034550452,0.0022503543,0.002192083,0.0014583694,0.0014492355,0.007851286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000278335,0.000022445294,0.0033815515,0.00026052733,0.000006944328,0.0004249732,0.022391707,0.0014696196,0.00119154,0.3361392,0.44511637,0.18956733],"study_design_scores_gemma":[8.2524804e-7,0.0000037758562,0.0016959099,0.00009146797,0.0000019250313,0.000043672087,0.0024461285,0.00006280827,0.00015315812,0.0014514583,0.994042,0.0000067445635],"about_ca_topic_score_codex":0.7809987,"about_ca_topic_score_gemma":0.9102899,"teacher_disagreement_score":0.2190013,"about_ca_system_score_codex":0.017165942,"about_ca_system_score_gemma":0.023450663,"threshold_uncertainty_score":0.44058204},"labels":[],"label_agreement":null},{"id":"W7036437870","doi":"","title":"Breeze - Live at ATM Reunion 2000 - Nov 11 2000","year":2000,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea breeze; ATM adaptation layer; New guinea; Post office","score_opus":0.005187575093667724,"score_gpt":0.19268447225837892,"score_spread":0.1874968971647112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036437870","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010644202,0.00021092058,0.00024238296,0.0011233848,0.0010194528,0.0000782372,0.0043629557,0.001242696,0.9906556],"genre_scores_gemma":[0.001725277,0.00006773843,0.00007859511,0.00008821614,0.000055427983,0.000013479896,0.0015703927,0.00028367963,0.9961171],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944085,0.000025260179,0.000008579006,0.00006126033,0.00027020744,0.0001938344],"domain_scores_gemma":[0.9988287,0.000031724892,0.000030007091,0.00007974687,0.00056012615,0.0004696478],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000578643,0.00089374825,0.00037311384,0.0013895367,0.004718132,0.0036398964,0.001144004,0.001743757,0.7672363],"category_scores_gemma":[0.0015534178,0.0003310532,0.00028837816,0.0009946707,0.00036098904,0.0014392341,0.0026561539,0.0022179394,0.58771664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036967383,0.000018733053,0.00018182644,0.000016089318,0.0000010925896,0.00004949284,0.000060966995,0.000029851402,0.00014499995,0.0007691755,0.98766977,0.011021015],"study_design_scores_gemma":[0.000005772209,0.000012094923,0.0015836637,0.00003282039,9.952432e-7,0.000021665952,0.00018321183,0.000028519282,0.00015788004,0.00010503947,0.99786276,0.0000056295175],"about_ca_topic_score_codex":0.11499243,"about_ca_topic_score_gemma":0.4078799,"teacher_disagreement_score":0.7672363,"about_ca_system_score_codex":0.0028633673,"about_ca_system_score_gemma":0.0025874462,"threshold_uncertainty_score":0.33200914},"labels":[],"label_agreement":null},{"id":"W7038855581","doi":"","title":"Investigation of Lithuanian road infrastructure electrification opportunities and constraints.","year":2023,"lang":"en","type":"dissertation","venue":"KTUePubl (Repository of Kaunas University of Technology)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Lithuanian; Quarter (Canadian coin); Work (physics); Promotion (chess); Electric cars; Electric vehicle","score_opus":0.007408425189021191,"score_gpt":0.1728752358487732,"score_spread":0.16546681065975202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038855581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96995485,0.0010210755,0.00058450474,0.000531812,0.000024086907,0.00003802003,0.002761854,0.00003348131,0.025050351],"genre_scores_gemma":[0.9935783,0.00056049484,0.00045107113,0.000046952286,0.000008143832,0.000027484568,0.0016331994,0.000007085038,0.0036873033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996283,0.000061382714,0.000032573356,0.00004444135,0.00009626054,0.00013703606],"domain_scores_gemma":[0.99955326,0.00008577446,0.00013350176,0.000020409781,0.00015325494,0.00005384055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004491035,0.00026089165,0.00018224215,0.0026398117,0.0005730117,0.0016838434,0.00044363862,0.00025575905,0.00593764],"category_scores_gemma":[0.0009959603,0.00014984354,0.00028512024,0.004218606,0.00025204418,0.0010308267,0.0010020894,0.00021840858,0.00047345497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013665923,0.00009225317,0.8420586,0.0008319827,0.00015330336,0.0024861642,0.006472358,0.006167321,0.00096005684,0.019199397,0.00900882,0.11243302],"study_design_scores_gemma":[0.000006060055,0.00008711782,0.9131351,0.00023695672,0.00006330043,0.0005350433,0.03096079,0.0031180303,0.00089145114,0.0009475535,0.049991775,0.000026903605],"about_ca_topic_score_codex":0.027941342,"about_ca_topic_score_gemma":0.05294727,"teacher_disagreement_score":0.027941342,"about_ca_system_score_codex":0.0018953752,"about_ca_system_score_gemma":0.0024540317,"threshold_uncertainty_score":0.05555743},"labels":[],"label_agreement":null},{"id":"W7039330181","doi":"","title":"More than 60 New Electric Vehicle Chargers Coming to Ontario and Quebec","year":2021,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Electric vehicle; Battery electric vehicle; Electric cars","score_opus":0.005153190467751775,"score_gpt":0.18847941300436868,"score_spread":0.1833262225366169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039330181","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15366927,0.004683533,0.0010440687,0.011776613,0.001420675,0.00065901864,0.052518822,0.00086502195,0.77336293],"genre_scores_gemma":[0.073616035,0.002227993,0.00047591268,0.004602756,0.00014383323,0.00007314865,0.008340493,0.000119607306,0.9104002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990809,0.000031639378,0.000022523423,0.00007248676,0.0004194718,0.00037294222],"domain_scores_gemma":[0.998719,0.000039221846,0.00008892265,0.000025152207,0.000555906,0.0005718112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029612053,0.0005042862,0.00025721776,0.0012026299,0.00410571,0.0019497919,0.0008799693,0.0012777189,0.08773683],"category_scores_gemma":[0.000801443,0.00033831035,0.0007134771,0.0021073571,0.00042166092,0.0006235009,0.0013030873,0.0010123054,0.014708264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014525713,0.00014909983,0.085973,0.0002543766,0.00004252073,0.0011560478,0.0010089047,0.00041755132,0.0014757443,0.001571907,0.80651873,0.10128683],"study_design_scores_gemma":[0.000035793844,0.000036356163,0.19690537,0.00012356127,0.00002710936,0.00034736088,0.0036542863,0.00064499624,0.0003021205,0.0001354681,0.7977527,0.00003492862],"about_ca_topic_score_codex":0.97815496,"about_ca_topic_score_gemma":0.9949934,"teacher_disagreement_score":0.08773683,"about_ca_system_score_codex":0.017022755,"about_ca_system_score_gemma":0.029779335,"threshold_uncertainty_score":0.29350895},"labels":[],"label_agreement":null},{"id":"W7042593816","doi":"","title":"Petition of NSTAR Electric Company pursuant ... from K Street to Columbia Road in the City of Boston","year":2014,"lang":"en","type":"book","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Government (linguistics); Work (physics); Quarter (Canadian coin); Corporation","score_opus":0.004434478504511031,"score_gpt":0.177616416055335,"score_spread":0.17318193755082398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042593816","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096604053,0.0021279717,0.00021777568,0.009123931,0.0034901476,0.00003745746,0.00040469263,0.00027267143,0.9833592],"genre_scores_gemma":[0.0008434635,0.000102411504,0.000016627411,0.00096251536,0.000065444416,0.0000043067494,0.000044398115,0.000021886355,0.99793893],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970704,0.000023635497,0.0000075506564,0.000047881404,0.00013620878,0.00007773461],"domain_scores_gemma":[0.99970776,0.00006397396,0.000010793012,0.000024034798,0.00013733335,0.00005605707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029693812,0.0006329984,0.00041130392,0.0007916341,0.0041919183,0.002940842,0.00079976156,0.00401172,0.26067048],"category_scores_gemma":[0.0010450522,0.00052059663,0.000413512,0.0005575763,0.0008084141,0.0014925388,0.0010905967,0.0036943166,0.15188606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076227634,0.0000083763425,0.00009680901,0.0000169612,0.0000014767213,0.000056606546,0.000071796494,0.000018632514,0.000099600686,0.0062945704,0.9863767,0.0069509554],"study_design_scores_gemma":[0.0000029376981,0.00000846114,0.00037035847,0.00002175832,0.0000016773656,0.000047762584,0.00008870442,0.00002154048,0.00007661662,0.00030952028,0.9990472,0.0000034019447],"about_ca_topic_score_codex":0.04585327,"about_ca_topic_score_gemma":0.16148694,"teacher_disagreement_score":0.26067048,"about_ca_system_score_codex":0.001700698,"about_ca_system_score_gemma":0.0019193444,"threshold_uncertainty_score":0.87202966},"labels":[],"label_agreement":null},{"id":"W7042840300","doi":"","title":"Redway Unveils Breakthrough in Battery Technology: Simplifying Ah to kWh Conversion – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Battery (electricity); Electricity; Automotive battery; Energy consumption; Work (physics)","score_opus":0.0025456565515074394,"score_gpt":0.1849190505983903,"score_spread":0.18237339404688288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042840300","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025011485,0.0059291446,0.0065245726,0.035054717,0.0039759534,0.0006010606,0.039129306,0.0017184794,0.8820552],"genre_scores_gemma":[0.064256474,0.0054508597,0.0051799663,0.0048607476,0.00019202931,0.000081166465,0.011659749,0.000478493,0.9078406],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760133,0.00004451501,0.000026973108,0.00008941654,0.001735392,0.0005023159],"domain_scores_gemma":[0.9969933,0.00010256504,0.000028428638,0.000072089024,0.002476896,0.00032674283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408128,0.0009760007,0.0003829105,0.0015418717,0.0037977323,0.0029652794,0.0016338201,0.00260763,0.04416464],"category_scores_gemma":[0.0019267191,0.00041006538,0.00089170685,0.0015633419,0.0010891114,0.0016749701,0.0011962617,0.0025415947,0.0070237983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021395252,0.0001859983,0.0015693047,0.00022322904,0.000028029719,0.00018240251,0.00013505081,0.0017745045,0.004304835,0.012967141,0.91688114,0.06153436],"study_design_scores_gemma":[0.00006213347,0.0000622619,0.007349434,0.00009654942,0.000034325538,0.00008590511,0.00041627072,0.0011737531,0.0063165557,0.0016971175,0.9826591,0.000046522284],"about_ca_topic_score_codex":0.9749228,"about_ca_topic_score_gemma":0.98824036,"teacher_disagreement_score":0.04416464,"about_ca_system_score_codex":0.022374548,"about_ca_system_score_gemma":0.10073532,"threshold_uncertainty_score":0.16233945},"labels":[],"label_agreement":null},{"id":"W7043522554","doi":"","title":"Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Hydro-Québec","keywords":"Water heating; Groundwater recharge; Rail transportation; Infrastructure planning","score_opus":0.003351807824735064,"score_gpt":0.1680301761012132,"score_spread":0.16467836827647814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043522554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31143126,0.00042165272,0.65482485,0.00091021764,0.00009159989,0.00024205341,0.0005818838,0.00034321225,0.031153418],"genre_scores_gemma":[0.95744616,0.00017072585,0.033125438,0.000044382545,0.00000895967,0.00010694607,0.00017018031,0.000032290158,0.008894936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996983,0.000097932025,0.000009494473,0.000058748035,0.000046705627,0.000088838446],"domain_scores_gemma":[0.9995776,0.00019921176,0.00005163394,0.000016595557,0.000086675835,0.00006841638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059398153,0.00053241325,0.00065973186,0.00047258608,0.00040582014,0.0013111114,0.0008291162,0.0008643566,0.0045052716],"category_scores_gemma":[0.0015656465,0.0006104451,0.0005267085,0.00069032464,0.00054690376,0.00090201804,0.0009413962,0.00075848645,0.00036026654],"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":[0.000043291322,0.000012914045,0.0005443491,0.000021553798,0.000010251219,0.000037760154,0.000039035138,0.98933464,0.00047893793,0.0033431333,0.00024699996,0.0058871508],"study_design_scores_gemma":[0.0000071895424,0.000030826868,0.0003275564,0.0000062967792,0.000007978495,0.0000074764903,0.00010403553,0.9965643,0.00025682186,0.0019029685,0.0007774944,0.000007061453],"about_ca_topic_score_codex":0.035310026,"about_ca_topic_score_gemma":0.04688227,"teacher_disagreement_score":0.035310026,"about_ca_system_score_codex":0.0016187355,"about_ca_system_score_gemma":0.0025837757,"threshold_uncertainty_score":0.07020903},"labels":[],"label_agreement":null},{"id":"W7070647515","doi":"","title":"Petro-Canada to provide Canadian EV drivers with Canada’s first coast-to-coast network of fast chargers ","year":2019,"lang":"de","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Noise (video); Line (geometry); Terminal (telecommunication); Key (lock)","score_opus":0.0020530304493041555,"score_gpt":0.14264462519609203,"score_spread":0.14059159474678787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070647515","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052892035,0.0011873173,0.0016356718,0.022674615,0.0033757763,0.0004575122,0.035447776,0.0016328454,0.9282993],"genre_scores_gemma":[0.012755133,0.00066316954,0.0011048568,0.0042496496,0.000080220634,0.000058644797,0.0064865635,0.0002758049,0.974326],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987147,0.000029124236,0.000019022229,0.000062982486,0.00065165584,0.00052241405],"domain_scores_gemma":[0.99439776,0.00008890444,0.00006185441,0.00009224184,0.0035987673,0.0017604053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063041254,0.00076855137,0.00026729645,0.0014102772,0.0054107965,0.0033253233,0.0012049221,0.0026861927,0.21650271],"category_scores_gemma":[0.0026698934,0.00043123937,0.0008695078,0.0010805993,0.000642922,0.0010657137,0.0020798063,0.002253796,0.055053115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022243255,0.000035906345,0.000987207,0.000037500344,0.0000039015,0.00005343009,0.000036528112,0.00008511844,0.0001546316,0.002755332,0.9784506,0.01737758],"study_design_scores_gemma":[0.000018023282,0.000013089753,0.004121426,0.00006186787,0.0000050053286,0.000042551586,0.0002553767,0.00025094533,0.00023319492,0.0004022367,0.99458283,0.0000134777065],"about_ca_topic_score_codex":0.96895605,"about_ca_topic_score_gemma":0.990602,"teacher_disagreement_score":0.21650271,"about_ca_system_score_codex":0.018465074,"about_ca_system_score_gemma":0.13837789,"threshold_uncertainty_score":0.7242737},"labels":[],"label_agreement":null},{"id":"W7071162727","doi":"","title":"Stryten Manufacturing Partners with Canadian Energy to Exclusively Distribute Stryten-Manufactured Transportation Batteries in Canada – TruckingNews.US","year":2021,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Energy (signal processing); Production (economics); Electricity; Government (linguistics); Energy consumption; Energy supply","score_opus":0.003139625542833153,"score_gpt":0.168048179669127,"score_spread":0.16490855412629385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071162727","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002508825,0.00048290726,0.0013644361,0.0035111953,0.0004545211,0.00011701311,0.008264469,0.0014048839,0.9818917],"genre_scores_gemma":[0.0056937924,0.00030573847,0.00057582365,0.00065941963,0.000015050538,0.000014420283,0.0028595421,0.0003355287,0.9895405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987999,0.000019353347,0.000011992428,0.0000733694,0.0007694428,0.00032596235],"domain_scores_gemma":[0.9971712,0.0000538798,0.00002929137,0.000070730785,0.0022040752,0.0004707893],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00055,0.00086664094,0.00028783045,0.0015810197,0.006038778,0.0040662913,0.0007886938,0.0019068897,0.3191397],"category_scores_gemma":[0.001217916,0.0005346299,0.0004929937,0.0016830652,0.0008092703,0.0014825482,0.0013811706,0.0018000434,0.12434724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036660564,0.0000442786,0.00076911587,0.000049805996,0.000004859897,0.00006890803,0.000095164105,0.00014203583,0.0009000485,0.008704643,0.95974016,0.029444287],"study_design_scores_gemma":[0.000005465648,0.0000075124785,0.001243678,0.000022269885,0.0000031731968,0.000029335984,0.00016964486,0.00017773442,0.00069008116,0.0003475195,0.9972947,0.0000089249825],"about_ca_topic_score_codex":0.93563473,"about_ca_topic_score_gemma":0.97623116,"teacher_disagreement_score":0.6808603,"about_ca_system_score_codex":0.017602978,"about_ca_system_score_gemma":0.057033837,"threshold_uncertainty_score":0.9711646},"labels":[],"label_agreement":null},{"id":"W7071490672","doi":"","title":"TERX), to Qualify for Canadian Tax Credits, Grants and Other Incentives For Advanced Technological Development of Lithium-Ion Powered, Vehicle Propulsion System Performed in Canada","year":2013,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Incentive; Propulsion; Government (linguistics); Tax incentive; Legislation","score_opus":0.006013520685284841,"score_gpt":0.19539222429804937,"score_spread":0.18937870361276452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071490672","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060740225,0.00043514316,0.0009841394,0.0056418628,0.00075632235,0.0005623663,0.05832082,0.0013303614,0.9258949],"genre_scores_gemma":[0.010917722,0.00024004685,0.00089411874,0.0010753553,0.000034248937,0.00008288064,0.008432556,0.00019280585,0.97813034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789727,0.000047132286,0.000044669297,0.000096183976,0.00097224576,0.0009424614],"domain_scores_gemma":[0.9934149,0.00019974391,0.0001250316,0.00019453195,0.0044034985,0.0016622443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010272058,0.00092035264,0.00042591649,0.0024060167,0.007173699,0.0032694268,0.0017274291,0.0020274932,0.24025907],"category_scores_gemma":[0.004117843,0.00055393134,0.0006362958,0.0019732341,0.000703448,0.00069366395,0.0015798445,0.002011033,0.068601355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005524221,0.00007800957,0.0018795179,0.00006914964,0.0000060784423,0.00009460526,0.00009880349,0.00023142631,0.0002472752,0.008737416,0.96250653,0.025995916],"study_design_scores_gemma":[0.000042493833,0.000019126019,0.008937514,0.000061245235,0.000007378077,0.00005665307,0.00033149813,0.0005149346,0.00038421663,0.0006999381,0.98892397,0.000021030015],"about_ca_topic_score_codex":0.9864871,"about_ca_topic_score_gemma":0.9947843,"teacher_disagreement_score":0.9679205,"about_ca_system_score_codex":0.032079507,"about_ca_system_score_gemma":0.15599453,"threshold_uncertainty_score":0.80374664},"labels":[],"label_agreement":null},{"id":"W7071539453","doi":"","title":"Smart Operation of Four-Quadrant Electric Vehicle Chargers in Distribution Grids","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"University of Waterloo","keywords":"Battery (electricity); Electric vehicle; Smart grid; Context (archaeology); Electric-vehicle battery; Grid; Vehicle-to-grid; Power (physics); Control (management)","score_opus":0.005551554250327201,"score_gpt":0.17647166035708745,"score_spread":0.17092010610676026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071539453","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16078846,0.0033289467,0.7114149,0.0017337041,0.00046221333,0.00022823464,0.00076441705,0.0007056675,0.120573476],"genre_scores_gemma":[0.96696836,0.0012475232,0.008567374,0.000097798875,0.000053916257,0.00007314689,0.000095130876,0.000047912607,0.022848755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976224,0.000064396256,0.000008492653,0.000069767084,0.00004902641,0.000046212856],"domain_scores_gemma":[0.99987507,0.000037043526,0.000024344414,0.0000109319635,0.000038715578,0.000013921388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038103719,0.0006268065,0.0007438925,0.0003291458,0.00054781756,0.0013517046,0.0016900243,0.0011122258,0.004879257],"category_scores_gemma":[0.000580649,0.00037768128,0.0007191347,0.0004869595,0.00083082286,0.0014742771,0.0007480925,0.0010768375,0.00088803296],"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":[0.00011762241,0.00005711324,0.0010896159,0.00011077225,0.000028420736,0.00031372078,0.00018684557,0.91462505,0.003011395,0.061967116,0.0024883312,0.016003996],"study_design_scores_gemma":[0.000013340679,0.00004006215,0.0002379128,0.000011304737,0.000012288075,0.00006624158,0.00005081452,0.9883089,0.0002779653,0.00824875,0.002722303,0.000010079421],"about_ca_topic_score_codex":0.008089662,"about_ca_topic_score_gemma":0.0059420015,"teacher_disagreement_score":0.008089662,"about_ca_system_score_codex":0.0012852527,"about_ca_system_score_gemma":0.00053840596,"threshold_uncertainty_score":0.016322792},"labels":[],"label_agreement":null},{"id":"W7071684072","doi":"","title":"TransLink Launches Battery-Electric Bus Pilot as part of CUTRIC's Pan-Canadian Integration Trial - Commodities (COMMODIT) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Government (linguistics); Work (physics); Purchasing; Quality (philosophy)","score_opus":0.013888758974576601,"score_gpt":0.203489585210751,"score_spread":0.1896008262361744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071684072","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003093017,0.00080078107,0.00052173407,0.03242584,0.0069807046,0.00019286993,0.005918377,0.0008745505,0.94919217],"genre_scores_gemma":[0.0055809347,0.00021494013,0.0002025981,0.0052649244,0.00017259085,0.000023802406,0.00084837317,0.00017362813,0.98751813],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977824,0.00004944527,0.000020498626,0.00009637434,0.0012937426,0.0007575927],"domain_scores_gemma":[0.99767715,0.0001384469,0.00002716006,0.000071430746,0.0014711007,0.0006147474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012919417,0.00071694906,0.0003568735,0.0010351089,0.007987576,0.007181973,0.0010846531,0.005041026,0.1813019],"category_scores_gemma":[0.0035790356,0.0004403667,0.00069741934,0.0007948902,0.0013652439,0.0014045133,0.0021053625,0.0062929303,0.044263683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026360021,0.000012786272,0.00020866607,0.000015877784,0.0000015916786,0.00008054152,0.00008024556,0.000022872406,0.00009803401,0.004630002,0.9895409,0.0052821725],"study_design_scores_gemma":[0.000008999733,0.0000073427764,0.0011501458,0.000020803667,0.000002413538,0.000016152975,0.00024035902,0.000047302827,0.00013051601,0.0002999246,0.99806696,0.00000907841],"about_ca_topic_score_codex":0.88746345,"about_ca_topic_score_gemma":0.96603775,"teacher_disagreement_score":0.1813019,"about_ca_system_score_codex":0.013928493,"about_ca_system_score_gemma":0.035583332,"threshold_uncertainty_score":0.6065153},"labels":[],"label_agreement":null},{"id":"W7092204779","doi":"10.1007/978-3-031-97693-3_12","title":"A Blockchain-Enabled Carbon Emission Trading System for New Energy Vehicle Incentives Utilizing Ethereum 2.0","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Incentive; Greenhouse gas; Fossil fuel; Subsidy; Emissions trading; Energy system; Energy policy; New energy","score_opus":0.006321706145746967,"score_gpt":0.1870081637507583,"score_spread":0.1806864576050113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092204779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12872358,0.0007817217,0.8143663,0.0009670712,0.00045914837,0.0005725791,0.0007374476,0.008703251,0.04468896],"genre_scores_gemma":[0.8906482,0.000206597,0.08987809,0.0002023732,0.000058596244,0.0001708964,0.0004373913,0.00020638177,0.018191515],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951994,0.00012414348,0.00003076253,0.00007538614,0.00015786257,0.0000919281],"domain_scores_gemma":[0.9994098,0.0002138372,0.000036830934,0.00013783778,0.00012515445,0.00007668895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089878845,0.00034102233,0.00054870744,0.00035549523,0.00061543577,0.0010411612,0.0012740733,0.0009419911,0.012346591],"category_scores_gemma":[0.001460278,0.00019243437,0.00023307274,0.00040642315,0.0003709695,0.0016933235,0.0019201356,0.0007946437,0.0018724494],"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":[0.0025269713,0.0011398145,0.0015518353,0.00034526954,0.0001224562,0.0009913378,0.0003655231,0.25803724,0.05705197,0.09905462,0.0295286,0.54928434],"study_design_scores_gemma":[0.00016625127,0.00022113636,0.00027068856,0.000023098954,0.000019357889,0.00014760077,0.00003847559,0.93506277,0.013637869,0.03405697,0.016325016,0.000030773368],"about_ca_topic_score_codex":0.0017118199,"about_ca_topic_score_gemma":0.0028763548,"teacher_disagreement_score":0.012346591,"about_ca_system_score_codex":0.00052007264,"about_ca_system_score_gemma":0.001309042,"threshold_uncertainty_score":0.041303456},"labels":[],"label_agreement":null},{"id":"W7093344404","doi":"10.1109/ticps.2025.3624189","title":"DCSM: A Distributed and Collaborative Security Monitoring Module to Detect Cyber-Attacks in the EV Ecosystem","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Anomaly detection; Limiting; Component (thermodynamics); Citizen science; Ecosystem; Public security","score_opus":0.012884483301063539,"score_gpt":0.24737230640448238,"score_spread":0.23448782310341884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093344404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17342076,0.0003136289,0.77580136,0.00043939182,0.000193682,0.0006939665,0.00047407974,0.04125122,0.0074119726],"genre_scores_gemma":[0.8680527,0.00008364922,0.12601231,0.00022873214,0.000048888858,0.00019902216,0.00044011805,0.00024848015,0.004686212],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993788,0.00007597044,0.000029853736,0.0002028558,0.000233046,0.00007938722],"domain_scores_gemma":[0.99916315,0.00012170677,0.00015374293,0.00026262252,0.00018913319,0.000109623616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006111664,0.00076938974,0.00052604644,0.0010729505,0.0003585691,0.00073063356,0.0013456745,0.0007031933,0.0016963222],"category_scores_gemma":[0.0012320123,0.0003090709,0.00037301373,0.0002996492,0.00039551558,0.0010614429,0.0015704668,0.00062226463,0.00086024095],"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":[0.0013009221,0.0013548662,0.04732678,0.0004354027,0.0005024929,0.0010249924,0.0005415409,0.09901407,0.19575156,0.011269344,0.025795197,0.6156828],"study_design_scores_gemma":[0.00015555324,0.000827025,0.012950543,0.000037239184,0.00013336068,0.0006123068,0.00010062388,0.8431852,0.10808108,0.0026110106,0.031221043,0.00008496393],"about_ca_topic_score_codex":0.0013311901,"about_ca_topic_score_gemma":0.0013752256,"teacher_disagreement_score":0.0016963222,"about_ca_system_score_codex":0.00048093035,"about_ca_system_score_gemma":0.000906535,"threshold_uncertainty_score":0.0056747794},"labels":[],"label_agreement":null},{"id":"W7094138969","doi":"","title":"Future of EV Batteries Market Size, Share, Growth, Analysis by 2035 – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Government (linguistics); Market analysis; Work (physics)","score_opus":0.0012155917643981808,"score_gpt":0.15942794953379988,"score_spread":0.1582123577694017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094138969","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19135442,0.014092394,0.0012390969,0.0069338176,0.00029894803,0.00015284527,0.56119573,0.00064542145,0.22408728],"genre_scores_gemma":[0.55194956,0.015780892,0.0022247478,0.0010198414,0.00011207456,0.000086984175,0.25574532,0.00020072573,0.1728798],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995054,0.000009015643,0.000014439115,0.000033905028,0.00029173563,0.00014555576],"domain_scores_gemma":[0.99828917,0.000051999796,0.00007778598,0.00002050798,0.0014448384,0.00011568918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931226,0.0004370644,0.0002348215,0.0028482948,0.00076405203,0.0020035822,0.00080699666,0.0003726416,0.010830452],"category_scores_gemma":[0.0011522142,0.0002129787,0.0007846782,0.008392409,0.00027442197,0.0011839845,0.00046216394,0.000561661,0.0021012172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000730469,0.0001556953,0.1419782,0.00091546885,0.00028489245,0.00053690275,0.00057047955,0.014052995,0.001662612,0.029121522,0.69049406,0.11949667],"study_design_scores_gemma":[0.0000416976,0.00007357871,0.47866496,0.00025706706,0.00014167986,0.00023426142,0.0025601066,0.0088065965,0.002401996,0.0019255666,0.50480294,0.000089488385],"about_ca_topic_score_codex":0.9864309,"about_ca_topic_score_gemma":0.9901972,"teacher_disagreement_score":0.025599143,"about_ca_system_score_codex":0.025599143,"about_ca_system_score_gemma":0.03265376,"threshold_uncertainty_score":0.18573564},"labels":[],"label_agreement":null},{"id":"W7096182531","doi":"","title":"Charging plug-in hybrid electric vehicles PHEVs with solar energy","year":2008,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sizing; Photovoltaic system; Solar energy; Mode (computer interface); Electric vehicle; Electric energy; Energy (signal processing); Rooftop photovoltaic power station","score_opus":0.0037891626616577746,"score_gpt":0.15554677474408096,"score_spread":0.1517576120824232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096182531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7281149,0.00073224,0.22647569,0.0002767229,0.00014875243,0.00016006804,0.00026110274,0.0006217048,0.04320888],"genre_scores_gemma":[0.99286956,0.00013106813,0.0035527209,0.000015278349,0.000010480367,0.000019929212,0.00003919016,0.0000073053816,0.0033543203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998294,0.00005154863,0.0000069269713,0.000011465826,0.000070684626,0.000029933693],"domain_scores_gemma":[0.99989223,0.000048890837,0.000013923061,0.000014324069,0.000024255147,0.0000064081664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013234589,0.00031763868,0.00038181114,0.00018126576,0.0002821325,0.0005839026,0.0005007954,0.0003640998,0.002532448],"category_scores_gemma":[0.00029785337,0.000145167,0.00019968685,0.00031270584,0.00014989157,0.0004801828,0.0004516394,0.00016679824,0.00033279427],"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":[0.001907567,0.00031584833,0.005437045,0.0009113047,0.00017706117,0.0015395375,0.00020051685,0.7106606,0.0939359,0.012925234,0.0035258653,0.1684636],"study_design_scores_gemma":[0.00019664751,0.0009900683,0.0047931126,0.000034038825,0.00012258763,0.0009983594,0.00046438607,0.85465145,0.09867162,0.015168378,0.023860164,0.000049157235],"about_ca_topic_score_codex":0.0014377923,"about_ca_topic_score_gemma":0.0025398799,"teacher_disagreement_score":0.002532448,"about_ca_system_score_codex":0.0002253953,"about_ca_system_score_gemma":0.00015722384,"threshold_uncertainty_score":0.008471906},"labels":[],"label_agreement":null},{"id":"W7097471534","doi":"","title":"Supervisory Committee Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks in British Columbia","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"Probabilistic logic; Electric vehicle; Distribution (mathematics); Probability distribution; Reliability (semiconductor)","score_opus":0.008809437387043822,"score_gpt":0.1715217660026626,"score_spread":0.1627123286156188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097471534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89731693,0.00030934304,0.03560444,0.0022645784,0.00023238693,0.00018111557,0.0047024265,0.000879246,0.058509503],"genre_scores_gemma":[0.97749704,0.00014138919,0.0017031273,0.00004430294,0.000013927781,0.00003746455,0.00074244104,0.00007952968,0.019740624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996648,0.00008157593,0.000010948401,0.00006804675,0.000100075486,0.00007458784],"domain_scores_gemma":[0.9989507,0.00024667528,0.000042266372,0.000060326784,0.00057319703,0.00012685178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006912351,0.00040985353,0.0006116148,0.0004824543,0.0012572291,0.0022367055,0.0012016635,0.00083521276,0.006599903],"category_scores_gemma":[0.0015952187,0.00036217086,0.00041046806,0.00056262437,0.00045215094,0.00045940967,0.00066269457,0.00078534934,0.00083022774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011454483,0.00004634964,0.017866552,0.000032221036,0.000042769432,0.00013441702,0.00007182499,0.9621445,0.0014243778,0.0017005238,0.0070905187,0.009331374],"study_design_scores_gemma":[0.000013947173,0.000014989884,0.009996293,0.000010275482,0.000013286953,0.000008387483,0.00011444902,0.98504806,0.0006598198,0.0008059755,0.0032960065,0.000018495584],"about_ca_topic_score_codex":0.86150044,"about_ca_topic_score_gemma":0.86029154,"teacher_disagreement_score":0.13849956,"about_ca_system_score_codex":0.008389461,"about_ca_system_score_gemma":0.008952535,"threshold_uncertainty_score":0.27863038},"labels":[],"label_agreement":null},{"id":"W7100688281","doi":"","title":"For more information, visit avt.inl.gov What is the Controllable Electrical Demand from Non-Residential Electric Vehicle Supply Equipment","year":2015,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peak demand; Demand response; Supply and demand; Load management; Demand forecasting; Electric utility; Electric vehicle; Demand management; Quarter (Canadian coin); Grid","score_opus":0.005004240681922133,"score_gpt":0.20712882331442323,"score_spread":0.2021245826325011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100688281","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013220249,0.001188975,0.0017346013,0.0036344954,0.0008220645,0.00022494985,0.17361622,0.010513422,0.80694324],"genre_scores_gemma":[0.010895919,0.0025674682,0.002685358,0.0029989565,0.0006415501,0.00025671415,0.1391782,0.00410888,0.836667],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99978536,0.000021020287,0.000013196326,0.0000412236,0.000103310376,0.00003589632],"domain_scores_gemma":[0.9987876,0.0002245652,0.000062485706,0.00010121291,0.00041354194,0.00041066782],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004344795,0.00058495754,0.0006887328,0.0021520313,0.0005599204,0.0024520573,0.0007593268,0.0011472715,0.80829424],"category_scores_gemma":[0.0016599069,0.00025510587,0.00035629218,0.0024878168,0.00018439928,0.0020893519,0.0011986763,0.0009051317,0.74323636],"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":[0.000027481898,0.000043991484,0.00061733933,0.00016609118,0.0000027690878,0.000028206901,0.000029366194,0.00006516418,0.00023507692,0.00036475091,0.9378687,0.06055098],"study_design_scores_gemma":[0.000016814543,0.00001538581,0.0012527445,0.00012405263,0.0000040992354,0.000026804531,0.00008147768,0.00019293209,0.0002071186,0.00052587816,0.99754333,0.000009318857],"about_ca_topic_score_codex":0.0073489216,"about_ca_topic_score_gemma":0.01123596,"teacher_disagreement_score":0.80829424,"about_ca_system_score_codex":0.0008103835,"about_ca_system_score_gemma":0.0006905826,"threshold_uncertainty_score":0.273445},"labels":[],"label_agreement":null},{"id":"W7103991121","doi":"10.1016/j.apenergy.2025.126901","title":"Electric vehicle charging decisions with travel distance: novel clustering algorithm integrating spatial-temporal charging and trip data","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"City of Regina; Natural Sciences and Engineering Research Council of Canada; SaskPower","keywords":"Cluster analysis; Electric vehicle; Battery (electricity); Range (aeronautics); Battery electric vehicle; Battery capacity; k-means clustering","score_opus":0.008420707504701063,"score_gpt":0.20787603846198585,"score_spread":0.1994553309572848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103991121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13882136,0.00037371757,0.85629505,0.00036034413,0.00008914066,0.0001946688,0.0005386524,0.0009261947,0.002400834],"genre_scores_gemma":[0.75161123,0.00021020956,0.24296765,0.000114470684,0.00005901325,0.0002131876,0.0015210288,0.00008740578,0.0032158212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992805,0.00012783452,0.00006569572,0.00025291185,0.00019005699,0.000083173196],"domain_scores_gemma":[0.99910504,0.00022170508,0.00012295999,0.00009559161,0.00040379327,0.000050992017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009033155,0.0007128345,0.0006976244,0.0017255233,0.0006149142,0.000824523,0.0018757657,0.0008485285,0.00082059106],"category_scores_gemma":[0.0029213394,0.00037779417,0.00086648413,0.0022707344,0.00032831592,0.0010688015,0.00094364485,0.0007727274,0.0003721767],"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":[0.00025762306,0.00018668926,0.01731817,0.00010631129,0.00023243607,0.000076670185,0.0002545481,0.67865556,0.0033172478,0.0035405713,0.0037061356,0.29234806],"study_design_scores_gemma":[0.0000066049315,0.000021364334,0.0018436258,0.0000059576137,0.00001332051,0.000027898246,0.000053328764,0.9958016,0.0005822804,0.0010043527,0.0006265811,0.000013068327],"about_ca_topic_score_codex":0.024574464,"about_ca_topic_score_gemma":0.023427667,"teacher_disagreement_score":0.024574464,"about_ca_system_score_codex":0.0013303536,"about_ca_system_score_gemma":0.0013615846,"threshold_uncertainty_score":0.048862815},"labels":[],"label_agreement":null},{"id":"W7104431252","doi":"10.71781/17058","title":"Transport : de l'évolution à la projection en passant par la modélisation","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transition time; Poison control; Pilotage","score_opus":0.010000622130973068,"score_gpt":0.25988098862927805,"score_spread":0.24988036649830497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104431252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16612405,0.0021130878,0.6766365,0.006739644,0.0010816728,0.00028484562,0.020627195,0.0048081526,0.12158488],"genre_scores_gemma":[0.7924853,0.0037825727,0.1330944,0.0004652571,0.00017597736,0.00052886736,0.010418557,0.0015829032,0.0574661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965024,0.00009256747,0.000017837274,0.00009535789,0.00010387799,0.000040087467],"domain_scores_gemma":[0.99946815,0.00013038056,0.000036383353,0.00007133249,0.00026770728,0.000026064075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056292745,0.0010899662,0.0005457407,0.0006235657,0.00085143297,0.0033914205,0.0013301091,0.0015178582,0.014304156],"category_scores_gemma":[0.0024112207,0.0007167387,0.0012514073,0.0014507668,0.00084984384,0.0022440006,0.0011694373,0.0020012655,0.002693672],"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":[0.000057980607,0.00002565888,0.004882513,0.00017567418,0.0000623545,0.00012370423,0.00023248313,0.9468837,0.0012323635,0.023310723,0.00499832,0.018014591],"study_design_scores_gemma":[0.000015664047,0.000029837549,0.0024470522,0.000090084846,0.000034450866,0.000044101245,0.00021928699,0.9566958,0.0008499153,0.009878893,0.029648945,0.000045943925],"about_ca_topic_score_codex":0.3991313,"about_ca_topic_score_gemma":0.25061816,"teacher_disagreement_score":0.3991313,"about_ca_system_score_codex":0.0035793432,"about_ca_system_score_gemma":0.0057659927,"threshold_uncertainty_score":0.7936162},"labels":[],"label_agreement":null},{"id":"W7104436207","doi":"10.71781/10306","title":"Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics","year":2024,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water heating; Groundwater recharge; Rail transportation; Infrastructure planning","score_opus":0.002964969655607395,"score_gpt":0.16453004844226413,"score_spread":0.16156507878665674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104436207","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3358043,0.00030189933,0.6330733,0.00074509176,0.000076501834,0.00023008659,0.00046446046,0.00036916777,0.028935146],"genre_scores_gemma":[0.9599048,0.00013293013,0.032500852,0.000035251003,0.0000064139695,0.000099678444,0.00013849016,0.00003291061,0.007148814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973863,0.00007903228,0.000008198421,0.000052652373,0.00004466355,0.000076742945],"domain_scores_gemma":[0.9996074,0.00018151855,0.00004731276,0.000016354019,0.00008631217,0.000061226674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054091617,0.00050369505,0.0005581846,0.00044738452,0.00042315602,0.0013178674,0.0007492637,0.0007558171,0.0045802034],"category_scores_gemma":[0.0015010422,0.00055678975,0.0005338905,0.00061262434,0.0005422359,0.0008390653,0.0008764839,0.0007518349,0.00034247478],"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":[0.0000394601,0.000013593923,0.0006073859,0.000019182557,0.0000079501715,0.000037359358,0.00003949421,0.9904351,0.00053495675,0.002917939,0.00018431796,0.0051633585],"study_design_scores_gemma":[0.000007162451,0.000028311108,0.00030758174,0.0000056675103,0.000007106319,0.000006781958,0.00008302066,0.9970047,0.00030679454,0.0015677956,0.0006689162,0.00000617886],"about_ca_topic_score_codex":0.038874526,"about_ca_topic_score_gemma":0.04857994,"teacher_disagreement_score":0.038874526,"about_ca_system_score_codex":0.0016509271,"about_ca_system_score_gemma":0.002660981,"threshold_uncertainty_score":0.077296495},"labels":[],"label_agreement":null},{"id":"W7105802833","doi":"10.1007/978-3-031-97697-1_20","title":"Transforming Parking Facilities for Electric Vehicles: An Optimal Design","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Government (linguistics); Electric vehicle; Selection (genetic algorithm); Charging station; Minification; Strategic planning","score_opus":0.010191953856099762,"score_gpt":0.1981253034107036,"score_spread":0.18793334955460386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105802833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01158607,0.00020728578,0.9673825,0.00013098733,0.000049694194,0.000103920655,0.00007724687,0.0002345661,0.02022774],"genre_scores_gemma":[0.61888963,0.0007785749,0.36048526,0.00011724159,0.000056732024,0.00031111515,0.0001530093,0.00027866647,0.018929712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996656,0.00008810086,0.00001144171,0.00006477986,0.00011677246,0.000053274827],"domain_scores_gemma":[0.99983895,0.00006646251,0.000019025707,0.000016926528,0.00004618983,0.000012269729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925487,0.00089285546,0.00093881076,0.00045656177,0.0003722223,0.0011798858,0.0012414184,0.0012025767,0.009947477],"category_scores_gemma":[0.00097491744,0.00087407074,0.001022851,0.0006652669,0.00066311855,0.0012964334,0.0011244548,0.000945184,0.0010676825],"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":[0.00007219681,0.000060704617,0.0001508816,0.00012421484,0.000014192362,0.000045649394,0.00004726553,0.90358156,0.0039582117,0.03339091,0.0017340194,0.0568201],"study_design_scores_gemma":[0.00002463231,0.00007603105,0.00007341356,0.000015007468,0.000018125595,0.000040635874,0.000044525576,0.97663635,0.0008622352,0.018289955,0.003909506,0.000009541065],"about_ca_topic_score_codex":0.0025693425,"about_ca_topic_score_gemma":0.003222256,"teacher_disagreement_score":0.009947477,"about_ca_system_score_codex":0.0007243003,"about_ca_system_score_gemma":0.001387855,"threshold_uncertainty_score":0.03327763},"labels":[],"label_agreement":null},{"id":"W7105989926","doi":"10.7939/83291","title":"Optimizing Battery Price Arbitrage in Alberta’s Electricity Market","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Battery (electricity); Electricity market; Arbitrage; Limiting; Electricity pricing; Order (exchange); Service (business); Energy storage","score_opus":0.0024295150289479796,"score_gpt":0.1519683134726676,"score_spread":0.14953879844371962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105989926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5670755,0.0013936331,0.24542746,0.0035786456,0.00021960636,0.00029202472,0.00069801876,0.00056690694,0.1807482],"genre_scores_gemma":[0.977454,0.00021179854,0.010982228,0.00008789566,0.000017428594,0.000028442055,0.00010139785,0.000034186953,0.011082649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997304,0.0000950755,0.0000059066747,0.000038850958,0.000054819684,0.00007487276],"domain_scores_gemma":[0.9995995,0.0002480799,0.00003199973,0.000014592704,0.000052149157,0.00005357664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922443,0.0006130578,0.000581365,0.0003984388,0.0005818792,0.002307481,0.0011556784,0.0012063162,0.004924286],"category_scores_gemma":[0.002123629,0.00045485696,0.00040320144,0.00050525164,0.0008038542,0.0010869318,0.0009938608,0.000966746,0.00027462744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010542803,0.000060747196,0.0008260176,0.000032985085,0.000017632996,0.00020701026,0.000034811197,0.95790315,0.0005146631,0.031043014,0.0019975351,0.0072569964],"study_design_scores_gemma":[0.000016133992,0.000025811176,0.00024586826,0.0000047749427,0.0000051078578,0.000013605063,0.000031493324,0.99224263,0.000090669324,0.006416971,0.0009010902,0.0000057686184],"about_ca_topic_score_codex":0.060092807,"about_ca_topic_score_gemma":0.075306945,"teacher_disagreement_score":0.9399072,"about_ca_system_score_codex":0.003498792,"about_ca_system_score_gemma":0.0035015682,"threshold_uncertainty_score":0.119486034},"labels":[],"label_agreement":null},{"id":"W7106034513","doi":"10.7939/83505","title":"Electric Vehicles and Resilient Evacuations: A Multi-Method Study of Charging Behaviour, Decision-Making, and Infrastructure Challenges","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Electricity; Sustainability; Grid; Hazard; Demand response; Extreme weather; Mains electricity; Discrete choice","score_opus":0.005626823440237483,"score_gpt":0.2198559676441818,"score_spread":0.21422914420394432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106034513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8938827,0.0013798318,0.09483722,0.00048684166,0.00006418115,0.002557804,0.0006007081,0.000048522994,0.006142188],"genre_scores_gemma":[0.89864755,0.0011922955,0.093167186,0.00012131526,0.000023469998,0.0032764273,0.00025854513,0.00002049629,0.0032927236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9952996,0.0038508987,0.0001340124,0.00026285794,0.00025921123,0.00019344791],"domain_scores_gemma":[0.9721857,0.02562992,0.0008550844,0.00044143706,0.0007323434,0.00015556162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008769591,0.0006759424,0.0008844273,0.0014397852,0.00079003116,0.0017796507,0.0010698803,0.0011911069,0.0030306417],"category_scores_gemma":[0.017313322,0.000480384,0.0017773601,0.0018585772,0.000744655,0.00086980325,0.0013104322,0.0011161716,0.0001585789],"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":[0.0040868893,0.0064202053,0.21161625,0.0054006297,0.004259175,0.0013192333,0.019707246,0.41546357,0.004472655,0.08932901,0.002859254,0.23506595],"study_design_scores_gemma":[0.0005652999,0.0031099415,0.058161568,0.0007784959,0.0007475385,0.00020957728,0.021433804,0.8868792,0.0016832479,0.018266788,0.0079537425,0.0002107504],"about_ca_topic_score_codex":0.028272085,"about_ca_topic_score_gemma":0.03471697,"teacher_disagreement_score":0.028272085,"about_ca_system_score_codex":0.003186298,"about_ca_system_score_gemma":0.003608431,"threshold_uncertainty_score":0.056215048},"labels":[],"label_agreement":null},{"id":"W7106582455","doi":"10.1016/j.tre.2025.104553","title":"A hierarchical decision framework for dynamic operation of mobile charging stations","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"National Research Foundation Singapore","keywords":"Software deployment; Solver; Scalability; Scheduling (production processes); Reinforcement learning; Schedule; Wireless; Greedy algorithm; Tardiness","score_opus":0.03005300785364643,"score_gpt":0.3700464683993932,"score_spread":0.33999346054574675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106582455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006176504,0.0003342263,0.98717064,0.0002993971,0.000066168504,0.00010446982,0.00021675488,0.00026614944,0.0053656586],"genre_scores_gemma":[0.62832636,0.0010480072,0.36266932,0.00016537197,0.00015778099,0.00034790245,0.00060510257,0.00010426985,0.006575945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968645,0.0011685558,0.00015941792,0.00049812946,0.000666235,0.0006431064],"domain_scores_gemma":[0.9981268,0.0011350734,0.00014073358,0.00009698617,0.00034744575,0.00015289239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048283995,0.001328295,0.0023757108,0.001360426,0.000950696,0.0036485253,0.0037307825,0.0017807048,0.007034268],"category_scores_gemma":[0.004108015,0.0012130967,0.0021223126,0.0023403363,0.0014142232,0.0029115526,0.0018004777,0.002106085,0.00074183947],"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":[0.00004445684,0.000052176747,0.00019785439,0.00008541963,0.00005318423,0.000059519793,0.00006222719,0.9126635,0.0003525155,0.069865204,0.0010743899,0.015489604],"study_design_scores_gemma":[0.000014502299,0.000022138793,0.000074859,0.0000110193805,0.000017887893,0.000008077004,0.000020297299,0.9751899,0.00009201249,0.023812791,0.00072556664,0.000010933116],"about_ca_topic_score_codex":0.035030916,"about_ca_topic_score_gemma":0.02293977,"teacher_disagreement_score":0.035030916,"about_ca_system_score_codex":0.004158366,"about_ca_system_score_gemma":0.0047981692,"threshold_uncertainty_score":0.06965399},"labels":[],"label_agreement":null},{"id":"W7110581039","doi":"","title":"Greenhouse gas and pollutant distribution from the supply chain of lithium-ion batteries for the German and European EV market","year":2025,"lang":"en","type":"article","venue":"elib (German Aerospace Center)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Electrification; Supply chain; Production (economics); Energy supply; Battery (electricity); Life-cycle assessment; Distribution (mathematics)","score_opus":0.0035169838207982852,"score_gpt":0.19778240868982572,"score_spread":0.19426542486902743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110581039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871793,0.0016492998,0.0011348344,0.00017871003,0.0000064043825,0.000010935265,0.0025215028,0.000032030315,0.007287028],"genre_scores_gemma":[0.99495053,0.00090374023,0.00032043658,0.000032345757,0.000004908908,0.0000063561756,0.0024184675,0.000009843829,0.0013533718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998253,0.000017791126,0.000008442008,0.000036849342,0.000066297514,0.000045320536],"domain_scores_gemma":[0.999782,0.0000420512,0.000053935983,0.000008304817,0.00010003121,0.0000136704475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020392705,0.00023305719,0.00014324689,0.0020188293,0.00020269223,0.0010043958,0.00017521433,0.00026113752,0.0017704101],"category_scores_gemma":[0.0003994451,0.00009587257,0.00031617787,0.0027144174,0.00021784581,0.0009492478,0.00043311014,0.00014033016,0.00032435267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001199342,0.00013192781,0.7490865,0.0005512095,0.00036947703,0.0024178983,0.0011266657,0.06488428,0.0315615,0.014032664,0.00543166,0.12920687],"study_design_scores_gemma":[0.000028816206,0.00024404912,0.88882494,0.00015630318,0.00023590255,0.0006342338,0.0037621628,0.03658665,0.024788976,0.0040189745,0.04062661,0.00009242747],"about_ca_topic_score_codex":0.024970332,"about_ca_topic_score_gemma":0.028753417,"teacher_disagreement_score":0.024970332,"about_ca_system_score_codex":0.001339042,"about_ca_system_score_gemma":0.0003977322,"threshold_uncertainty_score":0.049649954},"labels":[],"label_agreement":null},{"id":"W7110607614","doi":"","title":"NAVIGATING THE FUTURE: A REPORT ON THE CURRENT STATE AND FUTURE PATH OF ENERGY TRANSITION IN THE TRANSPORT SECTOR","year":2024,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Greenhouse gas; Power (physics); Work (physics); Energy supply; Energy transition; Global warming; Energy policy; Emerging technologies; Renewable energy","score_opus":0.0028205417421383076,"score_gpt":0.15811546599277554,"score_spread":0.15529492425063723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110607614","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04396116,0.2389002,0.0074175564,0.17741212,0.030192213,0.000993612,0.024031738,0.0017712541,0.47532028],"genre_scores_gemma":[0.15058191,0.38639945,0.013172294,0.01738167,0.0033038566,0.0009956836,0.021664143,0.0006298492,0.4058711],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998555,0.00016563956,0.00009214729,0.00009280803,0.00065508403,0.00043937712],"domain_scores_gemma":[0.99874216,0.00019056535,0.00016581222,0.000042335396,0.0005259285,0.00033328217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024972563,0.0007936259,0.00025583612,0.0017841535,0.0011157581,0.00748977,0.0007491319,0.0022983437,0.014381896],"category_scores_gemma":[0.0022515678,0.0002835712,0.0007010982,0.0037906526,0.0004952682,0.0067545897,0.0020144284,0.002054426,0.0063979533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013082959,0.00012467252,0.0051113456,0.0027508324,0.000032413616,0.00049851293,0.0019277411,0.0015069413,0.0019393469,0.035763815,0.763777,0.18643658],"study_design_scores_gemma":[0.0000041456683,0.000046606085,0.004264511,0.0007027665,0.0000112234475,0.0001087555,0.0026865725,0.00011774176,0.00037008725,0.0015179778,0.9901529,0.000016693888],"about_ca_topic_score_codex":0.01930782,"about_ca_topic_score_gemma":0.019257456,"teacher_disagreement_score":0.01930782,"about_ca_system_score_codex":0.0044224765,"about_ca_system_score_gemma":0.012846375,"threshold_uncertainty_score":0.048112214},"labels":[],"label_agreement":null},{"id":"W7111642399","doi":"","title":"An Electric Vehicle Migration Framework","year":2022,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Investment (military); Public transport; Cluster analysis; Charging station; Ecological footprint; Set (abstract data type); Linear programming","score_opus":0.008353450912436151,"score_gpt":0.25185822395327084,"score_spread":0.2435047730408347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111642399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015133056,0.0016155549,0.8164004,0.00354587,0.00046213376,0.00020416304,0.001247051,0.00032513932,0.16106653],"genre_scores_gemma":[0.63248396,0.0036536492,0.2457021,0.0007208194,0.00041004244,0.00064528425,0.001906699,0.00018702597,0.11429047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963593,0.000133272,0.0000142370045,0.0000793884,0.000063535015,0.00007365061],"domain_scores_gemma":[0.99986255,0.000035569617,0.000018107508,0.000010952405,0.00004641622,0.000026457054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006205512,0.0008335031,0.00031340963,0.0005696885,0.00077350065,0.0015495023,0.0017503226,0.0011666969,0.013138509],"category_scores_gemma":[0.0006442128,0.00022839276,0.00082647137,0.0009450057,0.0006341288,0.001726404,0.001748439,0.0009882343,0.0013608219],"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":[0.000016000731,0.000043310847,0.00039337986,0.00005212182,0.000013076205,0.00019017175,0.00007439609,0.2851142,0.00025450098,0.6861905,0.008769852,0.018888485],"study_design_scores_gemma":[0.00002583134,0.000051297724,0.0002872972,0.000052819447,0.00001698697,0.0001734996,0.00020726048,0.6719171,0.0001817641,0.24330176,0.08376351,0.000020860205],"about_ca_topic_score_codex":0.011524748,"about_ca_topic_score_gemma":0.009160226,"teacher_disagreement_score":0.013138509,"about_ca_system_score_codex":0.0012700816,"about_ca_system_score_gemma":0.0017806522,"threshold_uncertainty_score":0.043952644},"labels":[],"label_agreement":null},{"id":"W7111859558","doi":"","title":"Renovació d’una flota logística dièsel per opcions més sotenibles","year":2025,"lang":"ca","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin)","score_opus":0.0069304666495799624,"score_gpt":0.22260795876511744,"score_spread":0.21567749211553747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111859558","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6316278,0.0052178684,0.017688962,0.005472098,0.0003333994,0.00033068107,0.00075885013,0.00018742803,0.3383829],"genre_scores_gemma":[0.7404384,0.0062274258,0.013725727,0.0005890076,0.00007695552,0.00012042777,0.0005795682,0.00008872422,0.23815374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993781,0.00008704924,0.000017763405,0.00013589607,0.00022492565,0.00015624099],"domain_scores_gemma":[0.9992711,0.000158646,0.00006755804,0.000106866806,0.00032029772,0.00007556608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084618386,0.0005248069,0.00029710602,0.00082905777,0.000864446,0.0022925602,0.0006128308,0.00071959815,0.017971268],"category_scores_gemma":[0.0010868686,0.00022558104,0.0007335904,0.0007602173,0.00064357184,0.0014778065,0.0009971547,0.0009964951,0.0025834267],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012093927,0.0015233478,0.03443082,0.0026815291,0.00032490224,0.0010134946,0.0056629092,0.036272217,0.11263118,0.10045343,0.026641907,0.6771549],"study_design_scores_gemma":[0.00010453387,0.0027353566,0.055857245,0.0008271847,0.00027832427,0.0003603196,0.008338302,0.010279901,0.13531454,0.0131193595,0.7726592,0.00012572498],"about_ca_topic_score_codex":0.014864732,"about_ca_topic_score_gemma":0.045963198,"teacher_disagreement_score":0.017971268,"about_ca_system_score_codex":0.0030083018,"about_ca_system_score_gemma":0.003500174,"threshold_uncertainty_score":0.060119927},"labels":[],"label_agreement":null},{"id":"W7113899293","doi":"10.1109/ojvt.2025.3642721","title":"Impacts of Electric Vehicle Integration on Transportation and Energy Systems: Case Study in Iran","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flexibility (engineering); Work (physics); Energy (signal processing); Electric vehicle; Energy management; Sustainable transport; Modernization theory; Renewable energy; Energy planning; Energy modeling","score_opus":0.007024615955219436,"score_gpt":0.2436277620060191,"score_spread":0.23660314605079966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113899293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97786033,0.0003227171,0.0038934406,0.0006678508,0.000044857483,0.00012817752,0.00037599582,0.000064863234,0.016641704],"genre_scores_gemma":[0.99596256,0.00027930562,0.0019523507,0.000042384505,0.000014118289,0.00002631902,0.00017027464,0.000009157372,0.0015435664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933136,0.00021753648,0.000024935125,0.00005628474,0.00015535159,0.00021461531],"domain_scores_gemma":[0.9994165,0.00023109389,0.00007827216,0.0000387744,0.00013718444,0.00009822051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008818065,0.0006712529,0.00029957492,0.0008530912,0.0013425,0.0011193282,0.0011102648,0.0013132998,0.002034728],"category_scores_gemma":[0.0011583953,0.0002399814,0.0008166583,0.001690104,0.0008960753,0.0011311388,0.0014070979,0.001118932,0.00024563188],"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":[0.00082891487,0.0026835504,0.1964065,0.0005939006,0.00032153624,0.038424917,0.0035540874,0.6065157,0.0063007167,0.043105364,0.018584931,0.082679905],"study_design_scores_gemma":[0.0004130536,0.0015836154,0.15965086,0.00021823306,0.00048246258,0.0061442447,0.045911923,0.69366807,0.011042714,0.022610452,0.058013525,0.00026075923],"about_ca_topic_score_codex":0.04915221,"about_ca_topic_score_gemma":0.05672789,"teacher_disagreement_score":0.04915221,"about_ca_system_score_codex":0.0030262922,"about_ca_system_score_gemma":0.0017224507,"threshold_uncertainty_score":0.09773219},"labels":[],"label_agreement":null},{"id":"W7113902708","doi":"10.1016/j.urbmob.2025.100174","title":"Proximity planning for urban electrification: Walkable access to EV charging infrastructure in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Equity (law); Software deployment; Public transport; Walkability; Land-use planning; Population; Land use; Spatial planning; Urban planning; Transportation planning","score_opus":0.008463022964899633,"score_gpt":0.25375255848335254,"score_spread":0.2452895355184529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113902708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8919872,0.0010649366,0.05191693,0.0023582259,0.00005769375,0.0004466194,0.0070052445,0.0004911439,0.044671953],"genre_scores_gemma":[0.9838018,0.00033200104,0.009970182,0.000047160884,0.000007450977,0.000082213344,0.0007954367,0.00002234606,0.0049414216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99968374,0.00011275044,0.000007271108,0.000053351698,0.000043349686,0.00009956114],"domain_scores_gemma":[0.9995414,0.00015268708,0.00005668917,0.000026440688,0.00012392671,0.00009890839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041151882,0.0004341649,0.00022047598,0.0009031903,0.00081480405,0.0016505042,0.00099678,0.00035404766,0.0058539417],"category_scores_gemma":[0.0018969644,0.0002417073,0.00065119343,0.0014071306,0.00093077443,0.0006665568,0.0012820289,0.0003198875,0.00016815594],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012215377,0.000118829856,0.15478651,0.00015705121,0.00014735413,0.0005005945,0.0008682899,0.749022,0.0010440408,0.054022145,0.00595347,0.03325755],"study_design_scores_gemma":[0.000063951346,0.00014859307,0.110601775,0.000155189,0.00012883793,0.00008226674,0.0024835202,0.84898096,0.0006192288,0.010834885,0.025796834,0.00010398775],"about_ca_topic_score_codex":0.9307287,"about_ca_topic_score_gemma":0.9545686,"teacher_disagreement_score":0.069271326,"about_ca_system_score_codex":0.0140049895,"about_ca_system_score_gemma":0.009663173,"threshold_uncertainty_score":0.13935852},"labels":[],"label_agreement":null},{"id":"W7114896805","doi":"10.1016/j.trd.2025.105145","title":"Assessment of intended electric vehicle charging behaviours during wildfire evacuations","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Innovation Fund; Canada First Research Excellence Fund; University of Alberta","keywords":"Electric vehicle; Electricity; Range (aeronautics); Hazard; Grid; Electricity demand; Charging station; Preference","score_opus":0.013684054958104179,"score_gpt":0.2772440084523023,"score_spread":0.26355995349419814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114896805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998747,0.000009630641,0.0006718769,0.00001845161,9.227054e-7,0.000017852339,0.00019420778,0.00000534308,0.00033465138],"genre_scores_gemma":[0.99840075,0.000027399543,0.00082573295,0.0000072494454,6.6076075e-7,0.000016620676,0.00038032027,0.0000019434533,0.0003392908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948055,0.0002372126,0.000020839334,0.00007568355,0.00008477578,0.0001008694],"domain_scores_gemma":[0.9968548,0.0019422722,0.00049848174,0.000185945,0.0003240935,0.00019439889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020274895,0.00034332325,0.00024317559,0.00051389524,0.00041228472,0.0009882207,0.0006621753,0.0005135263,0.0013359567],"category_scores_gemma":[0.006878463,0.00024317605,0.0006351725,0.00045928246,0.0004690051,0.0005722801,0.00047069066,0.00053998147,0.00022176564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045276355,0.00028679645,0.94421434,0.00004447358,0.00012592229,0.00012418895,0.0017608838,0.041920386,0.0006108919,0.0006157396,0.00026335142,0.00958028],"study_design_scores_gemma":[0.000020132884,0.00045995085,0.83074033,0.00004031512,0.00006619134,0.00010991212,0.0074428055,0.15845822,0.00083910744,0.0010027422,0.00076065573,0.000059593367],"about_ca_topic_score_codex":0.20275651,"about_ca_topic_score_gemma":0.39770475,"teacher_disagreement_score":0.20275651,"about_ca_system_score_codex":0.0023984062,"about_ca_system_score_gemma":0.0019311238,"threshold_uncertainty_score":0.4031527},"labels":[],"label_agreement":null},{"id":"W7115571975","doi":"10.29207/resti.v9i6.6830","title":"Analyzing Public Sentiment on Electric Vehicles Through BERTopic and Emotion-Based Data Clustering","year":2025,"lang":"en","type":"article","venue":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Lexicon; Social media; Work (physics); Cluster analysis; Sentiment analysis; Production (economics); Data collection","score_opus":0.01945268667039222,"score_gpt":0.24671083050634798,"score_spread":0.22725814383595577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115571975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592857,0.00025367882,0.029774101,0.00037394676,0.000060534046,0.00018438799,0.0043316637,0.0003255329,0.0054104635],"genre_scores_gemma":[0.97950107,0.000110292516,0.015089542,0.000028787248,0.000036801972,0.00010392761,0.003790825,0.000020557003,0.0013181147],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999356,0.00019362432,0.000061170016,0.00015114882,0.00016015735,0.000077996796],"domain_scores_gemma":[0.9986273,0.0006700033,0.00021031822,0.000110382134,0.0003129202,0.00006896065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084677426,0.00030733726,0.0002767256,0.002991695,0.0005330307,0.0011109959,0.0002678069,0.00035985204,0.0007947471],"category_scores_gemma":[0.0026732972,0.000078440586,0.00043336514,0.002187016,0.0003006072,0.00063175923,0.0006677369,0.00035360156,0.0004399979],"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":[0.0012666062,0.00065836654,0.5061874,0.0006709119,0.00037636256,0.0009916779,0.010402933,0.023302592,0.041531302,0.0068640374,0.013051841,0.39469603],"study_design_scores_gemma":[0.000018499473,0.0002658223,0.62323123,0.0000795203,0.0001338511,0.0004950628,0.012246799,0.33448613,0.011487193,0.003721073,0.013738003,0.00009684096],"about_ca_topic_score_codex":0.0071429787,"about_ca_topic_score_gemma":0.009698749,"teacher_disagreement_score":0.0071429787,"about_ca_system_score_codex":0.0007313765,"about_ca_system_score_gemma":0.00034013478,"threshold_uncertainty_score":0.014202833},"labels":[],"label_agreement":null},{"id":"W7115818439","doi":"","title":"ASSESSMENT OF TRANSPORTATION GHG MITGATING SOLUTIONS","year":2021,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Greenhouse gas; Electricity; Battery electric vehicle; Public transport; Service (business); Battery (electricity); Occupancy; Transit (satellite); Energy consumption","score_opus":0.00684255351910876,"score_gpt":0.1947100258789712,"score_spread":0.18786747235986245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115818439","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63781184,0.0030921372,0.17336589,0.0026339863,0.00010085994,0.0012408636,0.008746091,0.0004375096,0.17257077],"genre_scores_gemma":[0.96639496,0.0013679048,0.023663752,0.00006670468,0.000008314172,0.0002205111,0.001385552,0.000038872666,0.006853458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893063,0.00028218413,0.00002248922,0.00006597504,0.00054256007,0.00015609674],"domain_scores_gemma":[0.99943656,0.00017132527,0.00006198721,0.00003391867,0.00026714796,0.00002916247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020142759,0.0009547986,0.00034887056,0.0011098635,0.00043940605,0.0020522333,0.0010073243,0.00095870456,0.003138338],"category_scores_gemma":[0.0029681271,0.00028823357,0.0006584376,0.0012562787,0.0004377563,0.0012405437,0.00084598426,0.0005729036,0.0003752028],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008676636,0.00005376375,0.0057471325,0.00022214689,0.000085154876,0.00006705578,0.000049120288,0.9273727,0.002224159,0.017568443,0.0014327267,0.045090847],"study_design_scores_gemma":[0.00004261417,0.0005071668,0.01187687,0.00013643285,0.00010753706,0.000048472368,0.0008056455,0.93969655,0.005983838,0.018990763,0.021764506,0.000039689763],"about_ca_topic_score_codex":0.1165778,"about_ca_topic_score_gemma":0.13810596,"teacher_disagreement_score":0.1165778,"about_ca_system_score_codex":0.009276003,"about_ca_system_score_gemma":0.006819345,"threshold_uncertainty_score":0.23179847},"labels":[],"label_agreement":null},{"id":"W7115908379","doi":"10.1016/j.tranpol.2025.103954","title":"From green hydrogen Hubs to electric vehicle Highways: Crafting feasible sustainable solutions for clean transportation","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"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":"Doctoral Scientific Research Start-up Foundation from Henan University of Technology; Hubei University of Automotive Technology; Ministry of Education","keywords":"Hydrogen vehicle; Electric vehicle; Incentive; Sustainable transport; Sustainability; Green vehicle; Quarter (Canadian coin); Battery electric vehicle","score_opus":0.008260436210991276,"score_gpt":0.23150845960714014,"score_spread":0.22324802339614885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115908379","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047938477,0.012757117,0.1305708,0.3750675,0.0034709522,0.00024279079,0.00056165707,0.000247794,0.4291429],"genre_scores_gemma":[0.86596686,0.0165019,0.028460825,0.017990556,0.0010415119,0.00021696302,0.00018085339,0.00014284036,0.06949773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982753,0.0005638767,0.000032912896,0.0002023871,0.0004631618,0.00046227925],"domain_scores_gemma":[0.9977852,0.0010323236,0.00014153779,0.00019566726,0.0005821736,0.0002631462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002856924,0.0007089522,0.0004398471,0.0009701822,0.0019377172,0.006062301,0.0016993952,0.0065502934,0.029993163],"category_scores_gemma":[0.005394549,0.0004323608,0.0005921289,0.0010577318,0.0064146435,0.013174368,0.003995738,0.0047080396,0.0018423392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038040856,0.00004718449,0.00013929865,0.00014870151,0.000006138382,0.00006065211,0.00016231484,0.006651187,0.00041454894,0.95957035,0.017162023,0.015599666],"study_design_scores_gemma":[0.000018527153,0.000052738193,0.00032893041,0.00035566435,0.000009594342,0.000024243413,0.0024204836,0.0055538067,0.0009831697,0.846624,0.14360312,0.000025662914],"about_ca_topic_score_codex":0.018270573,"about_ca_topic_score_gemma":0.0415413,"teacher_disagreement_score":0.029993163,"about_ca_system_score_codex":0.0062754904,"about_ca_system_score_gemma":0.012953494,"threshold_uncertainty_score":0.10033715},"labels":[],"label_agreement":null},{"id":"W7116068218","doi":"10.1051/e3sconf/202568000048","title":"Comparison of metaheuristics for the problem of electric vehicle optimal charging and discharging in a smart parking lot","year":2025,"lang":"fr","type":"article","venue":"E3S Web of Conferences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Metaheuristic; Electric vehicle; Particle swarm optimization; Genetic algorithm; Scheduling (production processes); Smart grid; Fitness function; Parking lot; Optimization problem; Job shop scheduling","score_opus":0.01661522343800529,"score_gpt":0.27052846290841487,"score_spread":0.25391323947040956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116068218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39024264,0.016737351,0.53625655,0.0019618121,0.0006952993,0.00044916433,0.00056794257,0.0010022541,0.052086923],"genre_scores_gemma":[0.76194584,0.0047349916,0.22911905,0.00031611754,0.000115616705,0.00029479,0.0004297669,0.00020972089,0.002834142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898154,0.00050046045,0.00006592318,0.000071503,0.0002798308,0.0001006515],"domain_scores_gemma":[0.9974815,0.0018064836,0.00013557609,0.00013590438,0.00035128993,0.00008935176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024264697,0.0010756068,0.0012326709,0.002017792,0.00059319456,0.0012946936,0.0010360803,0.0015782575,0.0015747697],"category_scores_gemma":[0.004866459,0.00030171202,0.0013649148,0.0017066906,0.00041520948,0.0010410462,0.00062260573,0.00097534386,0.00023434173],"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":[0.0002965997,0.0002002304,0.0013198846,0.00019061238,0.00022426301,0.00003285388,0.000038478862,0.9321469,0.00058039924,0.008599664,0.0010327339,0.055337332],"study_design_scores_gemma":[0.00006814626,0.00020492983,0.0006966554,0.000043587872,0.000071189206,0.000028379483,0.00007117374,0.9936259,0.00065474625,0.0027446216,0.0017792849,0.000011401076],"about_ca_topic_score_codex":0.0054155746,"about_ca_topic_score_gemma":0.0060750167,"teacher_disagreement_score":0.0054155746,"about_ca_system_score_codex":0.0016787123,"about_ca_system_score_gemma":0.0016178123,"threshold_uncertainty_score":0.012832582},"labels":[],"label_agreement":null},{"id":"W7116352753","doi":"10.14288/1.0451043","title":"Public transit electrification planning with energy storage via second-life batteries : a stochastic programming approach","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Software deployment; Battery (electricity); Electricity; Public transport; Energy storage; Stochastic programming; Renewable energy; Asset (computer security)","score_opus":0.006070237932514178,"score_gpt":0.14693079901110012,"score_spread":0.14086056107858594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116352753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113657884,0.0012248559,0.86115754,0.0021415113,0.00013662827,0.00035323043,0.0010712387,0.00034575374,0.019911334],"genre_scores_gemma":[0.89342535,0.0012336236,0.094356954,0.0002828502,0.00008599404,0.0006200192,0.0006990443,0.00009145772,0.009204819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999114,0.00044016802,0.00002610645,0.000118821736,0.000120266865,0.00018067576],"domain_scores_gemma":[0.9978046,0.0015882145,0.00020795235,0.00002803127,0.00021923045,0.00015208113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019038582,0.0015628143,0.0018341001,0.0011244253,0.0005981552,0.0022815708,0.0016296423,0.0016249794,0.0043072295],"category_scores_gemma":[0.0028243635,0.0016390481,0.0016753632,0.0014079469,0.0010207575,0.0010416296,0.0011687625,0.0017132033,0.00023185946],"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":[0.000013050782,0.000011776846,0.00015837516,0.00001326289,0.0000132570985,0.00002863618,0.000009254867,0.99626356,0.000047045476,0.0024406686,0.00015260653,0.0008484636],"study_design_scores_gemma":[0.0000064297933,0.00001254914,0.00005841731,0.000005064111,0.0000074286695,0.000003709947,0.000014209424,0.99830186,0.0000251818,0.0014107832,0.00015088993,0.000003512812],"about_ca_topic_score_codex":0.037611734,"about_ca_topic_score_gemma":0.02965439,"teacher_disagreement_score":0.037611734,"about_ca_system_score_codex":0.0029392247,"about_ca_system_score_gemma":0.004467625,"threshold_uncertainty_score":0.07478559},"labels":[],"label_agreement":null},{"id":"W7116716756","doi":"10.1016/j.tranpol.2025.103970","title":"Electricity demand assessment and charging infrastructure planning for long-haul electric vehicle operations in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Electricity; TRIPS architecture; Electric vehicle; Grid; Service (business); Charging station; Space (punctuation); Key (lock); Electricity demand","score_opus":0.004838290384246313,"score_gpt":0.23587531131706144,"score_spread":0.2310370209328151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116716756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722782,0.0003201895,0.0013001884,0.0012388437,0.000015216878,0.00011828441,0.005084517,0.000059971353,0.019584678],"genre_scores_gemma":[0.98128486,0.00025225632,0.0010089742,0.00006263922,0.0000035195317,0.000021178785,0.0015443142,0.000017536475,0.015804702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994991,0.000046610232,0.000021573172,0.0000398178,0.0001738626,0.00021901316],"domain_scores_gemma":[0.99901175,0.00011815343,0.000058520374,0.000016893922,0.00062068296,0.00017399492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004884306,0.000279618,0.00030678546,0.0008515988,0.0023414432,0.0018315458,0.0009960049,0.00047404927,0.003635218],"category_scores_gemma":[0.0015421323,0.0003837638,0.00046267017,0.0019180531,0.00047743908,0.00064335135,0.0004906728,0.00053887296,0.00023419921],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085321703,0.00040518935,0.5871398,0.00041408988,0.00024026372,0.0012647306,0.0039223884,0.2850512,0.0031136412,0.013899979,0.030843377,0.07285211],"study_design_scores_gemma":[0.00009433246,0.00012645959,0.7010943,0.000106029685,0.00009141359,0.00009253031,0.017100664,0.25156072,0.0012302726,0.0015058989,0.026883077,0.0001141166],"about_ca_topic_score_codex":0.9981269,"about_ca_topic_score_gemma":0.9993155,"teacher_disagreement_score":0.082545005,"about_ca_system_score_codex":0.082545005,"about_ca_system_score_gemma":0.057119843,"threshold_uncertainty_score":0.5989087},"labels":[],"label_agreement":null},{"id":"W7117152475","doi":"10.1016/j.trd.2025.105178","title":"Resilience analysis of electric vehicle charging infrastructure: a Bayesian network approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Science Basic Research Program of Shaanxi Province; Fundamental Research Funds for the Central Universities; Social Science Foundation of Shaanxi Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Resilience (materials science); Key (lock); Electric vehicle; Service (business); Bayesian network; Sensitivity (control systems); Critical infrastructure","score_opus":0.008295443658509533,"score_gpt":0.23271305913286353,"score_spread":0.224417615474354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117152475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07529273,0.00047285898,0.9180168,0.0009199486,0.00004206066,0.00006345158,0.00037493117,0.00024385164,0.004573422],"genre_scores_gemma":[0.9656726,0.0006852762,0.026482757,0.00009597378,0.00007875345,0.00008649201,0.00035795348,0.000079743186,0.006460373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991048,0.00036313996,0.000031701657,0.00022817121,0.00012217795,0.0001500363],"domain_scores_gemma":[0.9927624,0.005615401,0.00079413137,0.00021867748,0.0004077594,0.00020176008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003185671,0.0010710806,0.001771565,0.002882491,0.0007523671,0.0016506339,0.0024151087,0.0017031125,0.0041552116],"category_scores_gemma":[0.01251548,0.0013845309,0.0015714458,0.0017670149,0.0018454423,0.0034611598,0.001772325,0.0016516204,0.00026578087],"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":[0.00002010862,0.000010309713,0.00056327356,0.00001591433,0.00003197352,0.000029952158,0.000018896282,0.9788976,0.00011812148,0.017739858,0.0002605826,0.0022934629],"study_design_scores_gemma":[0.0000029204177,0.000005484009,0.00022925573,0.0000063919747,0.000012090085,0.0000093207345,0.000010915921,0.98588425,0.000049293518,0.013675438,0.000107623826,0.0000070964898],"about_ca_topic_score_codex":0.02071957,"about_ca_topic_score_gemma":0.011375466,"teacher_disagreement_score":0.02071957,"about_ca_system_score_codex":0.0025754988,"about_ca_system_score_gemma":0.0014407564,"threshold_uncertainty_score":0.041197896},"labels":[],"label_agreement":null},{"id":"W7117363976","doi":"10.54097/8edj3a78","title":"Analysis of Carbon Reduction Benefits and Promotion Strategies for Fully Electrified Urban Bus Fleets","year":2025,"lang":"","type":"article","venue":"Highlights in Business Economics and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrification; Greenhouse gas; Upgrade; Investment (military); Promotion (chess); Renewable energy; Air quality index; Public transport; Corporate governance","score_opus":0.00725821750443475,"score_gpt":0.19506576520760954,"score_spread":0.1878075477031748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117363976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96426445,0.0005359791,0.0027740106,0.0004899834,0.000012873567,0.00016545434,0.00052936,0.000018933712,0.031208916],"genre_scores_gemma":[0.9948389,0.00034299912,0.000877047,0.000027005755,0.0000039223405,0.000038165224,0.00020452749,0.0000053356193,0.0036621045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974185,0.00009003628,0.0000066766142,0.000019857764,0.000044559245,0.00009695753],"domain_scores_gemma":[0.9991223,0.00048932224,0.000083789564,0.000020747659,0.00019235877,0.00009147377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006344029,0.00035866772,0.0002418117,0.0009176111,0.0002855626,0.0013320493,0.00037173682,0.00046519667,0.007900426],"category_scores_gemma":[0.0016623209,0.00015214572,0.000534973,0.00084610964,0.00025565957,0.0010276135,0.0003733729,0.00046577328,0.00034827506],"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":[0.001655238,0.0013825885,0.06406696,0.0013708698,0.0004357641,0.0009114117,0.0010109819,0.666511,0.010076115,0.11825608,0.0048290063,0.12949404],"study_design_scores_gemma":[0.00021808954,0.0031831411,0.20987946,0.0004332367,0.0007460231,0.00019150671,0.011822309,0.7074838,0.00602857,0.03152026,0.028381748,0.00011181924],"about_ca_topic_score_codex":0.017254474,"about_ca_topic_score_gemma":0.026732944,"teacher_disagreement_score":0.017254474,"about_ca_system_score_codex":0.002024651,"about_ca_system_score_gemma":0.0014921742,"threshold_uncertainty_score":0.034308076},"labels":[],"label_agreement":null},{"id":"W7117576687","doi":"10.1109/isgteurope64741.2025.11305696","title":"Optimizing Time-of-Use Pricing for EV Charging Stations Using Multi-Agent Reinforcement Learning and AI-Generated Data","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Charging station; Reinforcement learning; Dynamic pricing; Electric vehicle; Demand response; Smoothing; Grid; Electricity pricing; Electricity","score_opus":0.03280583924970469,"score_gpt":0.2892326749433617,"score_spread":0.256426835693657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117576687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20160227,0.00035697513,0.7905017,0.00096868543,0.00009292576,0.00008610554,0.000090873,0.00037113312,0.0059293136],"genre_scores_gemma":[0.9841044,0.00005507126,0.01471297,0.00006278369,0.000015151792,0.00003120593,0.000030360148,0.000012928522,0.00097509974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996952,0.00011948158,0.000012919821,0.00006520145,0.000049569968,0.000057708126],"domain_scores_gemma":[0.99860436,0.0008713802,0.00020032753,0.0000519535,0.00017520366,0.00009679173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086783303,0.0006107297,0.00065786147,0.0003022971,0.00028772262,0.00077096844,0.0009428697,0.00078865356,0.0012255651],"category_scores_gemma":[0.0034353586,0.0003129844,0.0003126978,0.00028309308,0.0005624166,0.00079564383,0.0006465948,0.0012008614,0.00014278364],"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":[0.000038527196,0.00006388804,0.00085235614,0.0000177189,0.000017682489,0.000033974655,0.000015505055,0.9861618,0.00040722138,0.0023861905,0.00030934467,0.00969574],"study_design_scores_gemma":[0.0000027293022,0.000006211588,0.000042648182,7.729027e-7,0.0000012555407,0.0000015342008,0.0000019130582,0.999283,0.000048616377,0.0005741784,0.000036261725,8.957154e-7],"about_ca_topic_score_codex":0.0075476915,"about_ca_topic_score_gemma":0.00885319,"teacher_disagreement_score":0.0075476915,"about_ca_system_score_codex":0.0009027214,"about_ca_system_score_gemma":0.00095537637,"threshold_uncertainty_score":0.015007496},"labels":[],"label_agreement":null},{"id":"W7118646943","doi":"10.1109/vtc2025-fall65116.2025.11310012","title":"Data-Driven Analysis of Electric Vehicle Charging Impact on Power Distribution Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SaskTel (Canada); Crown Investments Corporation (Canada); Cameco (Canada); University of Regina","funders":"","keywords":"Metering mode; Charging station; Bottleneck; Electric vehicle; Incentive; Electricity; Distribution transformer; Transformer; Greenhouse gas","score_opus":0.007297807759075879,"score_gpt":0.2504938725064855,"score_spread":0.24319606474740965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118646943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97735137,0.00010955098,0.014499348,0.0003608445,0.000036789905,0.00011984102,0.0037031295,0.00027498227,0.0035441313],"genre_scores_gemma":[0.99359107,0.000045953497,0.0033814048,0.000023984941,0.000006212845,0.000035113506,0.002483898,0.00002335629,0.00040911327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883205,0.00044057038,0.00006476307,0.00015529514,0.00038679456,0.00012055257],"domain_scores_gemma":[0.99056727,0.0056921635,0.000488526,0.0006781299,0.0023336778,0.00024018373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022776946,0.00046727038,0.00030480936,0.0009916306,0.00029725704,0.00082501926,0.00065157306,0.00040760072,0.0011773765],"category_scores_gemma":[0.010495597,0.00026364697,0.00046902275,0.001214797,0.00027046137,0.0008433862,0.0003297369,0.0007036123,0.00024545324],"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":[0.00046915232,0.00056787935,0.120886244,0.00023635566,0.00020227372,0.0003220141,0.00015754717,0.8284279,0.0034701955,0.007202439,0.0033587073,0.0346993],"study_design_scores_gemma":[0.0000122561805,0.00009634405,0.031060139,0.000012405714,0.000019298215,0.000043774355,0.0001489354,0.96366495,0.0021073993,0.0017384643,0.0010808358,0.000015206903],"about_ca_topic_score_codex":0.015665649,"about_ca_topic_score_gemma":0.013955494,"teacher_disagreement_score":0.015665649,"about_ca_system_score_codex":0.001562359,"about_ca_system_score_gemma":0.00097408413,"threshold_uncertainty_score":0.03114891},"labels":[],"label_agreement":null},{"id":"W7123336400","doi":"10.1109/mele.2025.3627137","title":"Hybrid AC/DC Secondary Distribution Systems With Enhanced Electric Vehicle Hosting Capacity: A real-world demonstration in Alberta.","year":2025,"lang":"","type":"article","venue":"IEEE Electrification Magazine","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Bible College; Wave Control Systems (Canada); University of Alberta","funders":"","keywords":"Retrofitting; Electric vehicle; Hybrid system; Power (physics); Electric power system; Power quality; Distribution (mathematics); Quality (philosophy)","score_opus":0.005971714266084947,"score_gpt":0.20963265415568305,"score_spread":0.2036609398895981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123336400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433166,0.00010950846,0.011826193,0.00043928236,0.000092322014,0.00032499782,0.0006204295,0.0008046985,0.042466003],"genre_scores_gemma":[0.9760334,0.00007984557,0.0039844355,0.000046776127,0.000007602292,0.000027017371,0.00042674658,0.00002917179,0.019365069],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997012,0.00002949997,0.0000033732895,0.00002837723,0.00017295274,0.000064638996],"domain_scores_gemma":[0.99965763,0.000020220526,0.00000748887,0.000016572152,0.00021222855,0.00008577909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046323417,0.0004830739,0.00021721031,0.00027963877,0.0011649716,0.0005009947,0.0008760732,0.00036697017,0.002838744],"category_scores_gemma":[0.00029594524,0.00010132357,0.00022264889,0.00046088416,0.00068629114,0.0003254228,0.00048247544,0.0005300827,0.0005421586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057266736,0.005372504,0.04218306,0.00079147227,0.00023177119,0.014221123,0.0044395877,0.106075615,0.37960795,0.01409559,0.06505896,0.3621957],"study_design_scores_gemma":[0.0029014982,0.012712998,0.16133569,0.00012051427,0.0003380543,0.0030175773,0.008227635,0.2700433,0.28334734,0.0049277414,0.25275666,0.00027093134],"about_ca_topic_score_codex":0.46551758,"about_ca_topic_score_gemma":0.64088166,"teacher_disagreement_score":0.5344824,"about_ca_system_score_codex":0.0042049005,"about_ca_system_score_gemma":0.0034008762,"threshold_uncertainty_score":0.9256159},"labels":[],"label_agreement":null},{"id":"W7124150371","doi":"10.1109/codit66093.2025.11321715","title":"Dynamic Electric Vehicle Dispatching Problem: A Simulation Modelling Framework","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Service (business); Electric vehicle; Data modeling; Vehicle dynamics; Dynamic data; Range (aeronautics)","score_opus":0.004780258321242187,"score_gpt":0.22948498271170545,"score_spread":0.22470472439046327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124150371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024751704,0.000460415,0.95792747,0.0011322402,0.0000814999,0.00018494349,0.0009530204,0.00041793406,0.014090802],"genre_scores_gemma":[0.755662,0.0015695676,0.2267555,0.00021864506,0.00017793682,0.0009964881,0.0019637535,0.00015510469,0.012500933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992841,0.00035749678,0.00003594284,0.00010524006,0.00011738206,0.00009993029],"domain_scores_gemma":[0.99903274,0.00058022793,0.00010399604,0.000045326262,0.00016155651,0.0000761841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013490076,0.0013215761,0.0010563366,0.0008834469,0.00060799305,0.00181593,0.0022792371,0.0017173045,0.0029087574],"category_scores_gemma":[0.0027069103,0.00053607783,0.001109788,0.0012857553,0.0009418165,0.0012142117,0.0012043196,0.0012974173,0.00038282893],"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":[0.000008010823,0.000009660623,0.00010290463,0.000008969165,0.000006984407,0.00001775148,0.000009893735,0.99049395,0.00009573708,0.008260343,0.00018482372,0.0008009957],"study_design_scores_gemma":[0.0000052076666,0.0000039376687,0.00002354495,0.0000026131083,0.000002199717,0.000002939384,0.000004456554,0.9973085,0.00003131073,0.002150851,0.00046184033,0.0000026091814],"about_ca_topic_score_codex":0.039052192,"about_ca_topic_score_gemma":0.01721422,"teacher_disagreement_score":0.039052192,"about_ca_system_score_codex":0.0021664505,"about_ca_system_score_gemma":0.0025785584,"threshold_uncertainty_score":0.07764977},"labels":[],"label_agreement":null},{"id":"W7124244496","doi":"10.65109/suvy8273","title":"Cooperative Electric Vehicles Planning","year":2024,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep du Vieux Montréal; Université du Québec à Montréal","funders":"","keywords":"Baseline (sea); Plan (archaeology); Planner; Computation; Benchmark (surveying); Limiting; Overhead (engineering); Path (computing)","score_opus":0.0078041642277996,"score_gpt":0.2291573929633353,"score_spread":0.2213532287355357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124244496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04151414,0.00039171008,0.9235407,0.00030140838,0.00007073755,0.00020447088,0.00043379902,0.00080011605,0.032742947],"genre_scores_gemma":[0.7686558,0.0004372763,0.21642403,0.00009327818,0.000032348235,0.00029332013,0.00088830106,0.000144599,0.013031106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994816,0.00014069377,0.000020230527,0.0001487504,0.00011503214,0.00009378126],"domain_scores_gemma":[0.9993228,0.00036638475,0.000056167366,0.00009718984,0.000108078704,0.000049556373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006402868,0.0007758496,0.0006115987,0.000427079,0.0007129846,0.00090431795,0.0014263225,0.0007281587,0.0068542645],"category_scores_gemma":[0.0017177459,0.0003673095,0.000595522,0.0009179206,0.00069558865,0.0011595599,0.0012298246,0.0006741924,0.0006170795],"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":[0.00007414037,0.00006894745,0.0005505824,0.000110644076,0.00002255483,0.00014205909,0.00009798269,0.9140207,0.0011863885,0.027675282,0.0031964546,0.052854206],"study_design_scores_gemma":[0.000031009553,0.0000861075,0.00023066407,0.000012109422,0.000014677043,0.00008400652,0.00011204539,0.9579969,0.0012269603,0.028977381,0.011217305,0.000010848999],"about_ca_topic_score_codex":0.008283267,"about_ca_topic_score_gemma":0.010989912,"teacher_disagreement_score":0.008283267,"about_ca_system_score_codex":0.0008526446,"about_ca_system_score_gemma":0.0019682297,"threshold_uncertainty_score":0.022929788},"labels":[],"label_agreement":null},{"id":"W7125646346","doi":"10.1109/cascon66301.2025.00058","title":"Energy Load Forecasting for OCPP-Compliant EV Charging Infrastructure Using Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy (signal processing); Artificial neural network; Energy consumption; Efficient energy use; Key (lock)","score_opus":0.012959242208812729,"score_gpt":0.2262769926279302,"score_spread":0.21331775041911746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125646346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84643555,0.00028293434,0.13439892,0.0004033366,0.00016998523,0.00008636502,0.0015123558,0.0027561227,0.013954395],"genre_scores_gemma":[0.9948259,0.000024420859,0.003820138,0.00001794537,0.0000113835795,0.000009486063,0.0005009454,0.000015885076,0.0007739661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985325,0.00001899255,0.000008167823,0.000040711373,0.000036974354,0.000041843643],"domain_scores_gemma":[0.9997297,0.00006838824,0.0000312707,0.00003316337,0.00011406233,0.000023500657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329983,0.0005633979,0.0004456755,0.00050758454,0.00022743661,0.0006059971,0.00052161963,0.00036573256,0.0016883686],"category_scores_gemma":[0.0008731663,0.00014761956,0.00028123712,0.0005714426,0.000117234165,0.00064387766,0.0003646707,0.0005383775,0.0005210442],"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":[0.00036570444,0.00018322117,0.016811443,0.00006219677,0.000036739028,0.00011274545,0.00002707731,0.8695254,0.0032108435,0.00087322603,0.00461841,0.10417293],"study_design_scores_gemma":[0.000001813458,0.000008931416,0.00092897634,0.0000014896315,0.0000017047645,0.0000038251887,0.0000058901405,0.99842864,0.00032887192,0.00017209722,0.00011612165,0.0000015763443],"about_ca_topic_score_codex":0.015683806,"about_ca_topic_score_gemma":0.016847575,"teacher_disagreement_score":0.015683806,"about_ca_system_score_codex":0.00049644534,"about_ca_system_score_gemma":0.0004963218,"threshold_uncertainty_score":0.031185031},"labels":[],"label_agreement":null},{"id":"W7125964710","doi":"10.1109/rcae66389.2025.11355233","title":"Multi-Agent Distributed V2G Scheduling Optimization via Double Deep Q-Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"China Southern Power Grid","keywords":"Reinforcement learning; Scalability; Scheduling (production processes); Grid; Robustness (evolution); Electricity; Smart grid; Grid computing; Queueing theory","score_opus":0.006322785636851198,"score_gpt":0.21684317515902332,"score_spread":0.2105203895221721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125964710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04829453,0.00013862118,0.9471518,0.00045055005,0.000045149438,0.000062707164,0.000039222097,0.00032620918,0.00349127],"genre_scores_gemma":[0.9351593,0.00006204441,0.06261392,0.00013838218,0.000020316851,0.00008702056,0.000048701306,0.000026946764,0.0018433792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956757,0.0001601766,0.000016786595,0.00009134555,0.00007465438,0.00008937457],"domain_scores_gemma":[0.9989926,0.0005700921,0.00012860708,0.000058360416,0.0001674038,0.000082834864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011920654,0.0007539431,0.0008346245,0.0002930318,0.00046421305,0.0007039577,0.0012797364,0.0008874493,0.0016249631],"category_scores_gemma":[0.0023627642,0.0004406867,0.00036882795,0.0002929293,0.0008877757,0.0009337545,0.0010811167,0.0009174275,0.00018572765],"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":[0.000030283509,0.000018061168,0.00019324332,0.0000074073987,0.000007462962,0.00001795531,0.000011866648,0.990725,0.00024550367,0.0021861366,0.00020224474,0.006354907],"study_design_scores_gemma":[0.0000041225435,0.000005503803,0.000013305525,4.5856078e-7,7.764312e-7,0.0000012917371,0.0000013223772,0.9991059,0.000040540122,0.0007850537,0.0000411183,6.340353e-7],"about_ca_topic_score_codex":0.012196235,"about_ca_topic_score_gemma":0.010949265,"teacher_disagreement_score":0.012196235,"about_ca_system_score_codex":0.0012319214,"about_ca_system_score_gemma":0.0015555552,"threshold_uncertainty_score":0.024250507},"labels":[],"label_agreement":null},{"id":"W7126178964","doi":"10.46254/wc02.20250085","title":"Assessment of Barriers and Drivers for the Second-Life Electric Vehicle Battery Supply Chain","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs; University of Regina","keywords":"Software deployment; Reuse; Battery (electricity); Supply chain; Key (lock); Electric-vehicle battery; Sustainability; Electric vehicle","score_opus":0.0035015556570680405,"score_gpt":0.21678980442498863,"score_spread":0.2132882487679206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126178964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259265,0.0019004438,0.015111297,0.01045823,0.00007901068,0.00067045714,0.00053895253,0.00005664264,0.04525847],"genre_scores_gemma":[0.99320084,0.0012855203,0.002996596,0.00019140901,0.000009795435,0.00012753435,0.00017785713,0.000014394501,0.0019959293],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99499905,0.0013436489,0.0003315148,0.00038107028,0.0018860677,0.0010585976],"domain_scores_gemma":[0.96804225,0.016498059,0.0058687236,0.00059748447,0.00751073,0.0014826618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059924093,0.00048245818,0.00040613904,0.0022873713,0.0018818831,0.0072658826,0.0009887326,0.0013603288,0.005463815],"category_scores_gemma":[0.020677289,0.00040540178,0.0005875864,0.0028036612,0.0017931364,0.0072607184,0.0039208247,0.0017820692,0.0005499798],"study_design_candidate":"qualitative","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":[0.00036220998,0.00069289404,0.44869003,0.0033889476,0.00020188997,0.0032222553,0.037216503,0.013183526,0.0037098827,0.34522232,0.0074960557,0.13661355],"study_design_scores_gemma":[0.000042832544,0.00068358047,0.30328763,0.007035082,0.00046703487,0.0019293035,0.3494251,0.034047548,0.0066047176,0.111403085,0.18474907,0.00032503437],"about_ca_topic_score_codex":0.01191492,"about_ca_topic_score_gemma":0.014995993,"teacher_disagreement_score":0.01191492,"about_ca_system_score_codex":0.005940388,"about_ca_system_score_gemma":0.010276815,"threshold_uncertainty_score":0.043100774},"labels":[],"label_agreement":null},{"id":"W7126241074","doi":"10.46254/wc02.20250084","title":"Designing Adaptive Reverse Logistics Systems for EV Batteries Using Multi-Agent Simulation and Geospatial Intelligence","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Robustness (evolution); Vehicle routing problem; Reverse logistics; Scalability; Pareto principle; Probabilistic logic; Automation","score_opus":0.05209651130319008,"score_gpt":0.2923879021462553,"score_spread":0.24029139084306522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126241074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07228405,0.00013457281,0.91916794,0.00036117903,0.000038607704,0.00014001285,0.000078918434,0.00038639808,0.0074082557],"genre_scores_gemma":[0.89189076,0.00023038527,0.1052696,0.00006755278,0.000017130033,0.00027540367,0.00010867177,0.000047225956,0.0020932993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978644,0.00008216703,0.000011853086,0.000036973433,0.000052905412,0.000029690522],"domain_scores_gemma":[0.99944335,0.00029241215,0.00009603653,0.000047155456,0.00007847772,0.000042576303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054914353,0.00066826685,0.00065237744,0.00057297293,0.00063523697,0.0011371147,0.0010050117,0.0009212049,0.0011454576],"category_scores_gemma":[0.0014878375,0.0004727686,0.00085781567,0.00038671502,0.0008019751,0.0010779656,0.0011805317,0.0006908031,0.00017432828],"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":[0.0000049577907,0.000009997673,0.00020734765,0.0000069387515,0.000008050198,0.000015181463,0.000012850362,0.9958001,0.00021085306,0.002225117,0.00004445693,0.0014542666],"study_design_scores_gemma":[0.0000032246544,0.0000063295124,0.000028716702,0.0000017216059,0.000002307651,0.0000024281264,0.000009002152,0.99848866,0.00008278881,0.0011854682,0.00018720962,0.0000020681289],"about_ca_topic_score_codex":0.010287223,"about_ca_topic_score_gemma":0.009662816,"teacher_disagreement_score":0.010287223,"about_ca_system_score_codex":0.0010255504,"about_ca_system_score_gemma":0.0015830826,"threshold_uncertainty_score":0.020454705},"labels":[],"label_agreement":null},{"id":"W7127114263","doi":"10.1155/atr/5979939","title":"Empowering Electric Vehicle Adoption: Innovative Strategies for Optimizing Charging Station Placement Based on Projected Demand","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Service (business); Charging station; Sensitivity (control systems); Reachability; Linear programming; Sustainable transport; Scale (ratio); Level of service","score_opus":0.005993856699981073,"score_gpt":0.2531301538277143,"score_spread":0.24713629712773325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127114263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19985399,0.00034651707,0.7855283,0.00089459587,0.0000473429,0.000204865,0.00012839994,0.00030913373,0.012686865],"genre_scores_gemma":[0.9501869,0.00020345309,0.048583686,0.000041544245,0.000008688901,0.0000776393,0.000061878905,0.000026906195,0.00080929557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938786,0.00029815952,0.00001922121,0.00009519577,0.00010736599,0.0000922567],"domain_scores_gemma":[0.9992873,0.00040847875,0.00012890536,0.00004853537,0.000089720685,0.00003708688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012323855,0.00091948395,0.0005043929,0.00067583256,0.00030214898,0.0011950999,0.0009541051,0.0007798772,0.0017909971],"category_scores_gemma":[0.0034206877,0.00044354747,0.0005575874,0.0006562937,0.0004992256,0.0013488213,0.0012405472,0.00077621685,0.00018808685],"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":[0.000026135629,0.00006350561,0.0019128328,0.00005628668,0.000027715143,0.000050593346,0.00006783988,0.9593774,0.0011307703,0.009041226,0.00038188984,0.027863858],"study_design_scores_gemma":[0.000007683006,0.00007607852,0.0006102948,0.000015668995,0.000017491435,0.000014481422,0.00013582343,0.9918065,0.0005309855,0.0057934723,0.0009797832,0.000011751484],"about_ca_topic_score_codex":0.0042322543,"about_ca_topic_score_gemma":0.0061287265,"teacher_disagreement_score":0.0042322543,"about_ca_system_score_codex":0.0009438603,"about_ca_system_score_gemma":0.0018245799,"threshold_uncertainty_score":0.008415222},"labels":[],"label_agreement":null},{"id":"W7127275068","doi":"10.1109/sta66620.2025.11364987","title":"Overview of Charging Technologies for Electric Vehicles","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de l'Outaouais","funders":"","keywords":"Automotive industry; Electric vehicle; Power (physics); Charging station; Inductive charging; Sustainable energy","score_opus":0.011346431534156357,"score_gpt":0.24425410500632616,"score_spread":0.2329076734721698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127275068","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070481473,0.34733808,0.37324482,0.0027413655,0.004075323,0.0004657751,0.0010981259,0.0016041778,0.2623842],"genre_scores_gemma":[0.10323857,0.5873411,0.17633176,0.0017554482,0.002845972,0.0005965593,0.0031227483,0.0006122951,0.124155566],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950004,0.0000777475,0.000051689647,0.00007379752,0.00024751617,0.000049244773],"domain_scores_gemma":[0.9997489,0.00008337113,0.000019009485,0.000028488812,0.00010923419,0.00001092577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004329867,0.0009423996,0.0005690823,0.0018216599,0.00056407927,0.0017514778,0.0010139887,0.0013385249,0.011313877],"category_scores_gemma":[0.00082960975,0.0004415357,0.00060779083,0.0025547456,0.00027303697,0.0025585333,0.0010348596,0.0010525153,0.00710445],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007571005,0.00008256443,0.0003748558,0.00455599,0.000052140065,0.00030155198,0.00014983931,0.011557546,0.007683528,0.17525996,0.038146634,0.76175976],"study_design_scores_gemma":[0.000006593742,0.00007959933,0.00026499302,0.00053444394,0.00002793981,0.00072144286,0.000076257675,0.0063093263,0.003487213,0.027561482,0.96089715,0.000033572756],"about_ca_topic_score_codex":0.0006501612,"about_ca_topic_score_gemma":0.00052575493,"teacher_disagreement_score":0.011313877,"about_ca_system_score_codex":0.0006511137,"about_ca_system_score_gemma":0.00066780404,"threshold_uncertainty_score":0.03784871},"labels":[],"label_agreement":null},{"id":"W7127299580","doi":"10.1109/ccece64018.2025.11364439","title":"Smart Energy Management in Islanded Microgrids: LSTM-Based Prediction with Real-Time Scheduling","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scheduling (production processes); Energy management; Schedule; Demand response; Time horizon; Battery (electricity); Smart grid; Energy management system; Voltage","score_opus":0.0022807488537767446,"score_gpt":0.17857591605119388,"score_spread":0.17629516719741714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127299580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2890447,0.0015712337,0.69587606,0.0012507855,0.00034934108,0.000051719322,0.0003386209,0.0035860788,0.007931431],"genre_scores_gemma":[0.9829715,0.00013769307,0.015866358,0.00008339251,0.00003269418,0.000017831362,0.00011672672,0.000030808947,0.00074306736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990094,0.000025685085,0.0000060648113,0.000031097898,0.000015965687,0.000020198058],"domain_scores_gemma":[0.9998416,0.000067472814,0.000025508078,0.000016661736,0.00003563576,0.000013153769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658482,0.0006998429,0.0005489866,0.00020179802,0.00020807565,0.0004920517,0.00064444554,0.00040208964,0.0008471007],"category_scores_gemma":[0.0008690171,0.0002456717,0.00025504993,0.00033498043,0.00022369048,0.0008911123,0.0004214807,0.00080496795,0.00023260455],"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":[0.00007748506,0.000056635305,0.0006436975,0.000023698865,0.000029268407,0.00004008621,0.000027670869,0.9515362,0.0016664651,0.00067096314,0.0011004634,0.04412728],"study_design_scores_gemma":[0.0000015965567,0.000005527346,0.000052068342,9.544938e-7,0.0000017471665,0.0000017442064,0.0000023533598,0.99937916,0.00016951181,0.0003297971,0.000054532036,0.0000011050096],"about_ca_topic_score_codex":0.010761294,"about_ca_topic_score_gemma":0.011791638,"teacher_disagreement_score":0.010761294,"about_ca_system_score_codex":0.0004149058,"about_ca_system_score_gemma":0.00061747985,"threshold_uncertainty_score":0.021397293},"labels":[],"label_agreement":null},{"id":"W7127330802","doi":"10.1109/ccece64018.2025.11364475","title":"Electric Vehicle Energy Consumption Forecasting with Data-Driven Approaches","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Energy consumption; Monte Carlo method; Electric vehicle; Penetration rate; Smoothing; Learning curve; Energy (signal processing); Consumption (sociology); Electricity","score_opus":0.041596990173328824,"score_gpt":0.2176372396428311,"score_spread":0.17604024946950228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127330802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34035733,0.00077694043,0.6405507,0.00088638713,0.00015880272,0.0001267312,0.0042417706,0.0027931628,0.010108157],"genre_scores_gemma":[0.94850826,0.0002979336,0.046901215,0.000055900207,0.00002917672,0.00006933698,0.002393624,0.000048913003,0.0016956445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998098,0.000040688334,0.000013870044,0.00005681297,0.000055545082,0.000023390941],"domain_scores_gemma":[0.99940693,0.00028856282,0.000059864607,0.000065954715,0.00016255143,0.000016248563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292509,0.0005815274,0.00050533615,0.000709356,0.0002490558,0.00074044603,0.00085638196,0.00060526293,0.0010243469],"category_scores_gemma":[0.0025335527,0.00042772564,0.00055346556,0.0010211106,0.00017936868,0.00077398506,0.00029158374,0.0007604825,0.00033808188],"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":[0.000018335193,0.000022901317,0.0021161018,0.000016202415,0.000019408404,0.000020211633,0.000009210103,0.9812323,0.00017979521,0.00064420863,0.00047844334,0.015242937],"study_design_scores_gemma":[0.0000011000882,0.000002649015,0.0003773081,0.0000018353321,0.0000017969472,0.0000027557383,0.0000032672062,0.99893755,0.000121699246,0.000374426,0.00017328438,0.000002333086],"about_ca_topic_score_codex":0.073368184,"about_ca_topic_score_gemma":0.053726107,"teacher_disagreement_score":0.073368184,"about_ca_system_score_codex":0.001098416,"about_ca_system_score_gemma":0.00082039513,"threshold_uncertainty_score":0.14588231},"labels":[],"label_agreement":null},{"id":"W7127350814","doi":"10.1109/ccece64018.2025.11364446","title":"Enhancing EV Adoption: an Accurate State of Charge Prediction via Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Automotive industry; Bridge (graph theory); Battery (electricity); State (computer science); State of charge; Range (aeronautics); TRIPS architecture","score_opus":0.004631874767725494,"score_gpt":0.21175202560844059,"score_spread":0.20712015084071508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127350814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8002875,0.0010349044,0.18179522,0.0018168204,0.000132474,0.00016329068,0.0039933664,0.0015419904,0.009234344],"genre_scores_gemma":[0.98034877,0.00017312045,0.016325802,0.00008797666,0.000026272783,0.000046841793,0.0019097038,0.000022234393,0.0010592324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971944,0.000083110914,0.00002130627,0.00008383756,0.00005043605,0.00004182979],"domain_scores_gemma":[0.99886346,0.0006323485,0.00013164466,0.00010347028,0.00023397757,0.00003501895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006991702,0.00061306014,0.00042507704,0.0006124694,0.00017533015,0.00092554756,0.0008883186,0.0006589062,0.0011623307],"category_scores_gemma":[0.003974827,0.00017540171,0.0004394209,0.000644479,0.00016721386,0.0011911603,0.00051332783,0.000932305,0.00059299025],"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":[0.00042056324,0.00094752526,0.13759953,0.00022751885,0.00014843486,0.00024566308,0.0002350307,0.61289865,0.0024979396,0.003408857,0.007428502,0.23394187],"study_design_scores_gemma":[0.0000063860202,0.00007595634,0.007801434,0.000017717624,0.000015790454,0.000037706905,0.000059627746,0.9882081,0.0007831915,0.0016633087,0.0013188199,0.0000119865845],"about_ca_topic_score_codex":0.012205235,"about_ca_topic_score_gemma":0.017669283,"teacher_disagreement_score":0.012205235,"about_ca_system_score_codex":0.00051191304,"about_ca_system_score_gemma":0.00048425834,"threshold_uncertainty_score":0.024268389},"labels":[],"label_agreement":null},{"id":"W7127367960","doi":"10.1109/ccece64018.2025.11364483","title":"Smart Residential Electric Vehicle Charging Control via Multi-Objective Deep Reinforcement Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"QUAD Engineering (Canada); McGill University","funders":"","keywords":"Electric vehicle; Electricity; Greenhouse gas; Upgrade; Schedule; Control (management); Work (physics); Smart grid; Reinforcement learning","score_opus":0.003502233791438714,"score_gpt":0.205956056526927,"score_spread":0.2024538227354883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127367960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055323523,0.00047526244,0.93796235,0.00027461076,0.000089546054,0.000041349933,0.000038094728,0.0008470554,0.004948135],"genre_scores_gemma":[0.9761243,0.000102107835,0.021467477,0.000102395505,0.000022564833,0.00004836784,0.00004499865,0.000023453737,0.002064276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997758,0.00004980593,0.000011178364,0.000055889686,0.000053656964,0.000053708314],"domain_scores_gemma":[0.9996778,0.00014096114,0.000056097906,0.000018019413,0.00008014668,0.000026879028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025714,0.0006478309,0.00073180004,0.00019124283,0.00022145039,0.0005134698,0.00078732974,0.0006406286,0.0011939934],"category_scores_gemma":[0.0010431778,0.0003238425,0.0003682981,0.00019310541,0.00045187972,0.00041323985,0.00061613834,0.0009951598,0.00020252318],"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":[0.00006044106,0.000058637765,0.0006457839,0.000038661543,0.000030079878,0.000057011508,0.000027630529,0.96420825,0.0020008152,0.0014827413,0.00063349324,0.030756379],"study_design_scores_gemma":[0.000003862468,0.0000110110095,0.000040642462,0.0000014394911,0.000001874434,0.0000031236086,0.0000012922911,0.9994248,0.00014774258,0.0002895571,0.00007345432,0.0000012314946],"about_ca_topic_score_codex":0.0070394897,"about_ca_topic_score_gemma":0.006895908,"teacher_disagreement_score":0.0070394897,"about_ca_system_score_codex":0.0005408636,"about_ca_system_score_gemma":0.0007639188,"threshold_uncertainty_score":0.013997018},"labels":[],"label_agreement":null},{"id":"W7127455105","doi":"10.1109/ccece64018.2025.11364363","title":"A Performance Comparision of the Smart PV Inverter Functions in Distribution Systems with EVCS Integration","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Overvoltage; Photovoltaic system; Inverter; Grid; Voltage; Smart grid; Renewable energy; Electric vehicle; Maximum power point tracking","score_opus":0.004054619655720648,"score_gpt":0.17777471665040065,"score_spread":0.17372009699468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127455105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580387,0.0005867802,0.014802611,0.00015763783,0.000057504705,0.00007122465,0.0008476502,0.0006767428,0.024761124],"genre_scores_gemma":[0.9981918,0.000072655035,0.0006384604,0.000014773158,0.0000066454804,0.000008043142,0.0002292081,0.000018435654,0.00081996864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996105,0.00008098009,0.000028292432,0.00006585833,0.00012578415,0.0000885913],"domain_scores_gemma":[0.999173,0.00033824216,0.00005180339,0.00009651878,0.0003002017,0.00004020015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046401462,0.0005847441,0.00045335942,0.0006904517,0.00023519568,0.0008598288,0.00042863257,0.00046642483,0.0035506526],"category_scores_gemma":[0.0011914594,0.0001003501,0.00032146412,0.00051627134,0.00020952418,0.00073167525,0.0002915993,0.00040244494,0.0008048061],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0067814807,0.00093606254,0.026505275,0.0013148827,0.00040115215,0.0006567896,0.0004524207,0.4698661,0.13791299,0.007466604,0.007741257,0.339965],"study_design_scores_gemma":[0.000399919,0.009774052,0.12545645,0.00019033934,0.0005149936,0.00092286046,0.0008611272,0.69322556,0.14642562,0.0038048995,0.01830951,0.0001147085],"about_ca_topic_score_codex":0.0030228843,"about_ca_topic_score_gemma":0.0023582513,"teacher_disagreement_score":0.0035506526,"about_ca_system_score_codex":0.0005422374,"about_ca_system_score_gemma":0.00021238334,"threshold_uncertainty_score":0.011878133},"labels":[],"label_agreement":null},{"id":"W7128769966","doi":"10.1109/spec64875.2025.11376650","title":"Bidirectional Multilevel Solid-State Transformer for Medium-Voltage EV Charging Stations with Vehicle-To-Grid Capability","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Galvanic isolation; Interfacing; Transformer; Photovoltaic system; Grid; Voltage; Charging station; Electric vehicle; Flyback converter","score_opus":0.007896508507108602,"score_gpt":0.24883689486891844,"score_spread":0.24094038636180984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128769966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16712826,0.00047710855,0.7755172,0.00029570967,0.00014509169,0.00019030356,0.00034625482,0.0025936149,0.053306434],"genre_scores_gemma":[0.9716985,0.00015793352,0.022702144,0.000047836395,0.000020643793,0.000031106872,0.00016900881,0.000054133932,0.005118821],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999027,0.000014785855,0.00000606033,0.000013384506,0.000048244667,0.000014730092],"domain_scores_gemma":[0.9999366,0.000006422394,0.000008517586,0.000011286109,0.000028566237,0.000008600418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008258854,0.0002032614,0.0001596852,0.00022232074,0.00023327592,0.00043344058,0.0005128461,0.000255851,0.0064678118],"category_scores_gemma":[0.0001228381,0.00011076316,0.00024198976,0.00030841274,0.00013406761,0.0005472385,0.00038934543,0.00040523717,0.0022054876],"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":[0.00055853615,0.00019270332,0.002884613,0.00053770194,0.000050717743,0.00046317765,0.0001771468,0.013350217,0.59618604,0.037774343,0.007655883,0.34016895],"study_design_scores_gemma":[0.00019303935,0.0015748945,0.004579216,0.00012269508,0.00014111845,0.002936303,0.0002514128,0.20654498,0.60445976,0.017967733,0.16116723,0.00006162269],"about_ca_topic_score_codex":0.00047469337,"about_ca_topic_score_gemma":0.0013368024,"teacher_disagreement_score":0.0064678118,"about_ca_system_score_codex":0.0002845757,"about_ca_system_score_gemma":0.00030126996,"threshold_uncertainty_score":0.021637022},"labels":[],"label_agreement":null},{"id":"W7129341129","doi":"10.1109/iceconf65644.2025.11379563","title":"An Enhanced Electric Vehicle Power Management Using Machine Learning and Game-Theoretic Model-Based Optimization","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Microgrid; Energy management; Grid; Energy consumption; Vehicle-to-grid; Electric vehicle; Key (lock); Energy management system","score_opus":0.002700247239275815,"score_gpt":0.21241064595255776,"score_spread":0.20971039871328195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7129341129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016471798,0.00010694771,0.9749307,0.00022572334,0.000033933775,0.00006422632,0.000040993003,0.00017136495,0.007954169],"genre_scores_gemma":[0.92122847,0.0001487101,0.0737227,0.00011027888,0.000025572464,0.00015503362,0.0000641767,0.00003773883,0.004507328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995715,0.0001740197,0.0000129818245,0.000062149724,0.00012844887,0.000050930805],"domain_scores_gemma":[0.9997075,0.00015204719,0.000035224864,0.00002013398,0.000065210836,0.00001976339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064210076,0.00069789006,0.00078289467,0.00029180595,0.00024591072,0.0009418322,0.00095872645,0.00063114025,0.0014630898],"category_scores_gemma":[0.0012858503,0.0003073953,0.0004988237,0.00034708413,0.00051975105,0.0009429978,0.00090563716,0.000770157,0.00018107936],"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":[0.000013086422,0.00002423349,0.00008066114,0.000013374597,0.000008844344,0.000017635975,0.000009372945,0.9876951,0.00045037465,0.0069342013,0.0002512636,0.004501827],"study_design_scores_gemma":[0.000002969295,0.000011670938,0.000019611914,0.0000012899156,0.0000015892856,0.0000029241278,0.0000016189106,0.99829096,0.00007395384,0.0014229787,0.00016894224,0.0000014074113],"about_ca_topic_score_codex":0.0058325795,"about_ca_topic_score_gemma":0.0046858992,"teacher_disagreement_score":0.0058325795,"about_ca_system_score_codex":0.0009749547,"about_ca_system_score_gemma":0.0010738592,"threshold_uncertainty_score":0.011597276},"labels":[],"label_agreement":null},{"id":"W7131239656","doi":"10.1109/icoiics67115.2025.11390241","title":"A Comprehensive Review on the Evolution of Electric Vehicle Charging Infrastructure","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Standardization; Software deployment; Electric vehicle; Smart grid; Power electronics; Key (lock); Electric power system; Power grid; Grid","score_opus":0.005576833832079257,"score_gpt":0.21604946421477522,"score_spread":0.21047263038269595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131239656","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006962792,0.9919241,0.0006272244,0.0007949582,0.00040871117,0.000019267007,0.0002638635,0.0000233037,0.005242243],"genre_scores_gemma":[0.0030592275,0.99463093,0.0005207977,0.00034445716,0.00018407639,0.00001353204,0.00026464765,0.000006100753,0.00097619125],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953854,0.00009915943,0.00009456672,0.00007181301,0.00016146069,0.000034469802],"domain_scores_gemma":[0.9991007,0.00046278237,0.00013273435,0.000027068008,0.00024623913,0.00003061631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008201571,0.0006350369,0.0007136665,0.0025141023,0.0002584301,0.001326657,0.0007021115,0.00075621693,0.006858462],"category_scores_gemma":[0.0020388316,0.00027323098,0.00077950495,0.0042138426,0.00021671756,0.0018624993,0.00058057375,0.0008211851,0.0015873006],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008484152,0.00004606357,0.0006068137,0.081547484,0.00022798176,0.00036236126,0.00024675636,0.0013318327,0.0021690854,0.009698987,0.06446115,0.83921665],"study_design_scores_gemma":[0.000005643183,0.0000681293,0.0008647135,0.009799781,0.00025581074,0.0004932417,0.00010560641,0.00012532665,0.0005121255,0.001464647,0.9862855,0.000019532034],"about_ca_topic_score_codex":0.0018110306,"about_ca_topic_score_gemma":0.0026437202,"teacher_disagreement_score":0.006858462,"about_ca_system_score_codex":0.00071981037,"about_ca_system_score_gemma":0.0027420684,"threshold_uncertainty_score":0.022943854},"labels":[],"label_agreement":null},{"id":"W7132934668","doi":"","title":"Using Incremental Emissions Factors to Evaluate the Greenhouse Gas Impacts of Electric Vehicle Deployment","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Software deployment; Electricity; Electric vehicle; Grid; Electricity demand; Market penetration; Electricity generation","score_opus":0.02342612048172639,"score_gpt":0.321662085464831,"score_spread":0.2982359649831046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132934668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8861027,0.0004049434,0.06468215,0.00018668914,0.00009067214,0.00027350342,0.0027768824,0.0003981017,0.04508446],"genre_scores_gemma":[0.9806877,0.00026380943,0.015388103,0.000014968844,0.0000057950106,0.000048894683,0.00088961207,0.000054839194,0.0026463591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999699,0.00007141399,0.000014135486,0.000045062443,0.00013054082,0.000039835224],"domain_scores_gemma":[0.9990416,0.0005951107,0.00006142472,0.000069110036,0.00021537395,0.000017386881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009859678,0.0007099623,0.00028002376,0.000838656,0.00017686568,0.0009292083,0.00045589547,0.00029119288,0.0017149224],"category_scores_gemma":[0.003150684,0.00018121996,0.0005859369,0.0010934648,0.0002372769,0.00095839455,0.00025795624,0.000653354,0.00023394058],"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":[0.00016460467,0.000108473585,0.029026749,0.00013368845,0.0000872235,0.00007749856,0.00009647537,0.9098817,0.0043200003,0.0065307897,0.00087142986,0.04870134],"study_design_scores_gemma":[0.000029249177,0.0007283748,0.052131884,0.000045394045,0.000096097814,0.000074277545,0.00054031884,0.91692734,0.016681949,0.005770812,0.006896582,0.000077725956],"about_ca_topic_score_codex":0.044703238,"about_ca_topic_score_gemma":0.055590905,"teacher_disagreement_score":0.044703238,"about_ca_system_score_codex":0.0017735932,"about_ca_system_score_gemma":0.0008293004,"threshold_uncertainty_score":0.08888608},"labels":[],"label_agreement":null},{"id":"W7132952759","doi":"","title":"Evolving Electric Vehicle Charging Profiles: A Crucial Consideration for Energy System Models","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"University of Toronto","keywords":"Electrification; Electric vehicle; Electricity; Energy (signal processing); Power (physics); Electric power system; Energy system","score_opus":0.014125325784980323,"score_gpt":0.2590419599505242,"score_spread":0.24491663416554388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132952759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080078185,0.0012723468,0.8637524,0.0068631847,0.00021017111,0.00017485555,0.0012963496,0.00024374557,0.04610874],"genre_scores_gemma":[0.9303449,0.002263823,0.05324078,0.00062280963,0.000118012846,0.00025037606,0.0006702357,0.00019640403,0.01229272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951017,0.0002338595,0.000023306719,0.00006789635,0.00011207814,0.000052602605],"domain_scores_gemma":[0.99888223,0.0007169909,0.00010076788,0.00009116947,0.00015932873,0.00004950732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015619961,0.0005750177,0.00088283006,0.00042125717,0.00052423746,0.0021865603,0.0016370635,0.0017441697,0.002346634],"category_scores_gemma":[0.006145832,0.00066145504,0.000759199,0.00095905404,0.00068455515,0.0039010658,0.0010212146,0.0026309157,0.00042373972],"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":[0.000007875625,0.000009978688,0.0007126446,0.00002082454,0.00001058994,0.00006184788,0.000058118334,0.96110797,0.00018278862,0.032090917,0.00059300323,0.005143441],"study_design_scores_gemma":[0.0000027958165,0.000010760968,0.00032988677,0.000028763205,0.000005756455,0.000032257616,0.0000756095,0.9724077,0.00009851563,0.024400577,0.0025959024,0.0000114336635],"about_ca_topic_score_codex":0.013593813,"about_ca_topic_score_gemma":0.010099498,"teacher_disagreement_score":0.013593813,"about_ca_system_score_codex":0.0014794476,"about_ca_system_score_gemma":0.001801022,"threshold_uncertainty_score":0.027029395},"labels":[],"label_agreement":null},{"id":"W7132971192","doi":"","title":"Advantages and disadvantages of using electric delivery vehicles in the last mile delivery","year":2023,"lang":"hr","type":"dissertation","venue":"Repository of the Faculty of Transport and Traffic Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Electric cars; Electric vehicle; Quarter (Canadian coin)","score_opus":0.01282981422771522,"score_gpt":0.24918383696078492,"score_spread":0.23635402273306969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132971192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6718472,0.02364616,0.042302623,0.009650078,0.0013398125,0.00037572422,0.00073803385,0.00060821895,0.24949208],"genre_scores_gemma":[0.9422264,0.006091569,0.01121643,0.00037412942,0.00023497579,0.000068176734,0.00022228078,0.00006795597,0.039498128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988456,0.00029790512,0.00006701705,0.00015098881,0.00047574827,0.00016275322],"domain_scores_gemma":[0.9986767,0.00041287424,0.00022463773,0.00010053964,0.00048405095,0.000101184676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011932964,0.00044673312,0.00026765603,0.0011965864,0.00087429606,0.0022950233,0.0008871023,0.0010431991,0.00942966],"category_scores_gemma":[0.002106107,0.0002227264,0.00069934415,0.0009987697,0.00064081146,0.0017279751,0.0011957256,0.00053015794,0.002281851],"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":[0.0024577565,0.00043885713,0.10976515,0.0018145206,0.00017009427,0.0028293217,0.002049804,0.006238197,0.0300025,0.02247943,0.0103143295,0.81144005],"study_design_scores_gemma":[0.00024288725,0.007470817,0.2807125,0.0017863642,0.0009885499,0.014984684,0.026322745,0.023273425,0.06457294,0.01890065,0.5603114,0.00043301441],"about_ca_topic_score_codex":0.00411915,"about_ca_topic_score_gemma":0.004456752,"teacher_disagreement_score":0.00942966,"about_ca_system_score_codex":0.00095963443,"about_ca_system_score_gemma":0.0007278808,"threshold_uncertainty_score":0.03154534},"labels":[],"label_agreement":null},{"id":"W7133009984","doi":"","title":"Possibilities to Introduce Public Electric Scooters in the City of Zagreb","year":2020,"lang":"hr","type":"dissertation","venue":"Repository of the Faculty of Transport and Traffic Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin)","score_opus":0.015822577491825567,"score_gpt":0.2369691138570263,"score_spread":0.22114653636520074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133009984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89970064,0.00046283714,0.0012072315,0.002351557,0.00015461922,0.00020332939,0.0002326832,0.00011903146,0.09556808],"genre_scores_gemma":[0.9304203,0.00044269173,0.0010179792,0.0002275851,0.000032256303,0.00007009121,0.00013841713,0.000026996655,0.06762358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991867,0.0001770554,0.00002099478,0.00009480428,0.00010248412,0.00041801896],"domain_scores_gemma":[0.9994029,0.00007115242,0.00007076763,0.00004910521,0.00008285315,0.0003232751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006124548,0.00031500356,0.00023426801,0.00061602675,0.005130442,0.002778473,0.0006784584,0.0013076133,0.028215503],"category_scores_gemma":[0.00091927906,0.00033103017,0.0004983924,0.00063767727,0.0015816446,0.0011077363,0.0027928953,0.0011542899,0.004344838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021329878,0.0038712758,0.3705698,0.0015776444,0.00012437125,0.024313603,0.109855026,0.005932085,0.024377067,0.072176896,0.039430734,0.34563842],"study_design_scores_gemma":[0.00023985507,0.0012547543,0.37779063,0.00059600675,0.000114966555,0.0018592976,0.2527322,0.0014671873,0.002563446,0.0035587614,0.3576854,0.00013752756],"about_ca_topic_score_codex":0.040823482,"about_ca_topic_score_gemma":0.115547396,"teacher_disagreement_score":0.040823482,"about_ca_system_score_codex":0.002876843,"about_ca_system_score_gemma":0.005065852,"threshold_uncertainty_score":0.09439021},"labels":[],"label_agreement":null},{"id":"W7133554616","doi":"10.1109/icpee65973.2025.11411541","title":"Performance of Fast Electric Vehicle Charging Stations by Energy Storage Devices based Grid Connected Hybrid Renewable Energy Sources","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Renewable energy; Electric vehicle; Grid; Energy storage; Energy (signal processing); Charging station","score_opus":0.002835842774833507,"score_gpt":0.17539494467375968,"score_spread":0.17255910189892618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133554616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98360944,0.00019908432,0.007511103,0.00013715132,0.000046455232,0.00001963908,0.00019894556,0.00022155281,0.008056647],"genre_scores_gemma":[0.99882346,0.000038863054,0.00036455106,0.000007795594,0.0000015057003,0.0000052675787,0.000060733022,0.0000059594554,0.0006917387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999741,0.000054190372,0.000014113396,0.00003541272,0.0000704522,0.00008486179],"domain_scores_gemma":[0.9997204,0.00010793174,0.00003554991,0.000024102219,0.00008206543,0.000029893234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035601205,0.00083732815,0.00064702326,0.00042800032,0.0003339066,0.00086925767,0.00065770413,0.0005125475,0.0031791844],"category_scores_gemma":[0.00045618674,0.00029130618,0.0007144463,0.00054291514,0.0002990476,0.0005431843,0.0004401841,0.0004702225,0.0003929482],"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":[0.0015576122,0.00025633498,0.0056824563,0.00023437417,0.00010690106,0.00019752816,0.000051680618,0.94164777,0.024168734,0.0010720111,0.0015981917,0.023426436],"study_design_scores_gemma":[0.000060306855,0.0010313283,0.0044027395,0.000014093682,0.00006562174,0.000040721647,0.00015266142,0.9711936,0.021918803,0.0004463163,0.00064472645,0.000029060515],"about_ca_topic_score_codex":0.0054920577,"about_ca_topic_score_gemma":0.005287989,"teacher_disagreement_score":0.0054920577,"about_ca_system_score_codex":0.00071816664,"about_ca_system_score_gemma":0.00049232383,"threshold_uncertainty_score":0.010920167},"labels":[],"label_agreement":null},{"id":"W7135283880","doi":"","title":"A feedback-guided analysis of environmental, health and socio-economic factors affecting drivers’ willingness to shift to e-jeepneys","year":2025,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"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":"Ateneo de Manila University; International Development Research Centre; Australian Government; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Stakeholder; Wage; Willingness to pay; Public health; Contingent valuation; Valuation (finance); Health benefits; Modernization theory","score_opus":0.0447246943928723,"score_gpt":0.32674000779694873,"score_spread":0.28201531340407643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135283880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330527,0.000022714947,0.0043663615,0.00018249353,0.0000064822602,0.00038812307,0.0003937275,0.000027106778,0.0013075902],"genre_scores_gemma":[0.98935986,0.00004818435,0.008653281,0.00004713199,0.000003713254,0.00042581852,0.00044414934,0.0000056808913,0.0010121583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977189,0.0015679293,0.000071427196,0.00016928799,0.00025884333,0.00021359025],"domain_scores_gemma":[0.9888582,0.007758794,0.0010429398,0.00031373167,0.0017756152,0.00025073462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048353653,0.0006372341,0.00035538067,0.0011019427,0.00078364596,0.0010880604,0.0006099726,0.0006301939,0.0036003839],"category_scores_gemma":[0.014133924,0.00023784563,0.0010036372,0.0007745107,0.0004667295,0.0010271932,0.00086782756,0.0006063776,0.0003494191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028769616,0.005761127,0.6748303,0.0014349025,0.00049769273,0.0008621046,0.03727886,0.039995506,0.00945508,0.0040070415,0.002722798,0.22027764],"study_design_scores_gemma":[0.00032636497,0.00846951,0.7232146,0.00045264428,0.00058156246,0.00025272524,0.07773965,0.16064833,0.011079151,0.009128245,0.007827644,0.0002795028],"about_ca_topic_score_codex":0.031682942,"about_ca_topic_score_gemma":0.04455214,"teacher_disagreement_score":0.031682942,"about_ca_system_score_codex":0.002841965,"about_ca_system_score_gemma":0.0032530758,"threshold_uncertainty_score":0.06299704},"labels":[],"label_agreement":null},{"id":"W7137171778","doi":"10.1109/itsc60802.2025.11423101","title":"Comparative Evaluation of Battery Electric and Internal Combustion Vehicles in On-Demand Shared-Ride Services: Energy and Operational Efficiency","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Combustion; Battery (electricity); Efficient energy use; Internal combustion engine; Energy (signal processing); Operational efficiency","score_opus":0.010152285928480472,"score_gpt":0.25001595094537704,"score_spread":0.23986366501689657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7137171778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903916,0.00023324517,0.0041401912,0.00006955593,0.000019863024,0.000046349174,0.00016124635,0.000091753776,0.004846293],"genre_scores_gemma":[0.99879456,0.00005555365,0.00063870614,0.0000047679036,0.0000018781033,0.000007177075,0.00011548589,0.000007333134,0.00037453166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991726,0.00022854931,0.00003799164,0.000086742075,0.00024491953,0.00022912392],"domain_scores_gemma":[0.9986419,0.0005712923,0.00008030858,0.00014381044,0.00039658137,0.00016609057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010757636,0.00074135896,0.00065123284,0.0008448086,0.00041900954,0.0009675974,0.0010752478,0.00046898858,0.0022138287],"category_scores_gemma":[0.0021841773,0.0001699675,0.00038852234,0.0008539467,0.00046491783,0.0016256006,0.0009784903,0.0003212212,0.00031503566],"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":[0.0030714022,0.00078812,0.017190138,0.00040521653,0.00019491087,0.00029365032,0.00015734631,0.8480617,0.014139387,0.0037349027,0.0017377305,0.11022552],"study_design_scores_gemma":[0.000108754575,0.0021677308,0.008622362,0.000020747702,0.00007621653,0.00014410182,0.00057635346,0.9722192,0.013036494,0.0013193993,0.0016784467,0.000030257452],"about_ca_topic_score_codex":0.010734211,"about_ca_topic_score_gemma":0.0105257975,"teacher_disagreement_score":0.010734211,"about_ca_system_score_codex":0.0014844269,"about_ca_system_score_gemma":0.00067915546,"threshold_uncertainty_score":0.02134347},"labels":[],"label_agreement":null},{"id":"W7138841990","doi":"10.53941/rset.2025.100010","title":"Advancements in EV Charging Standards and Technologies for Sustainable Transportation","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Software deployment; Interoperability; Sustainable transport; Electricity; Scope (computer science); Standardization; Emerging technologies; Environmentally friendly","score_opus":0.001699296507019035,"score_gpt":0.20346949821456667,"score_spread":0.20177020170754764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138841990","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0855382,0.08395231,0.29382148,0.043153096,0.003760185,0.0001751794,0.00043059763,0.0010762729,0.48809263],"genre_scores_gemma":[0.71594715,0.1317433,0.10346529,0.0029992429,0.0018778198,0.00011971438,0.0008095527,0.0002683418,0.042769633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855477,0.00028785327,0.00009409052,0.00015605646,0.0007700482,0.0001372243],"domain_scores_gemma":[0.9979988,0.0005686191,0.00018022626,0.0002695434,0.00089493085,0.00008785813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022266824,0.0004340138,0.00024787345,0.0011128326,0.00062265346,0.0025429113,0.00082605536,0.0012783483,0.0047739353],"category_scores_gemma":[0.0035013533,0.00018269608,0.00044663585,0.0021563924,0.0010823734,0.0058583724,0.002166799,0.0019355264,0.0011738993],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030796353,0.00007787759,0.0021924968,0.00084127544,0.000018680163,0.00014844423,0.0004880942,0.010831032,0.0044649835,0.593445,0.012204534,0.3752568],"study_design_scores_gemma":[0.000007427844,0.00010415029,0.002446694,0.0006466255,0.000024719395,0.0005210992,0.00092983234,0.013726877,0.0060239807,0.1387779,0.83674115,0.000049448154],"about_ca_topic_score_codex":0.0019295389,"about_ca_topic_score_gemma":0.0018432557,"teacher_disagreement_score":0.0047739353,"about_ca_system_score_codex":0.0017095292,"about_ca_system_score_gemma":0.002269596,"threshold_uncertainty_score":0.015970409},"labels":[],"label_agreement":null},{"id":"W7138934814","doi":"10.1109/globecom59602.2025.11432801","title":"EV Charging Infrastructure Vulnerability Assessment and ML-Assisted Threat Mitigation","year":2025,"lang":"","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Testbed; Critical infrastructure; Vulnerability (computing); Work (physics); Vulnerability assessment; Intrusion detection system; Cyber threats; Intrusion","score_opus":0.005641482561353968,"score_gpt":0.2575169360133271,"score_spread":0.2518754534519731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138934814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25596032,0.00022954447,0.7255013,0.00069871044,0.000083226405,0.00028546507,0.00038894286,0.0048263557,0.012026147],"genre_scores_gemma":[0.9489725,0.000085442174,0.04921683,0.000063147454,0.0000110350065,0.00006636853,0.00023560651,0.00006085807,0.0012882234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921286,0.0002459213,0.000039155595,0.00011163671,0.00026769072,0.00012273178],"domain_scores_gemma":[0.99832636,0.0006600469,0.00024098021,0.00029118147,0.0003935348,0.000087879605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010671457,0.00076427707,0.00041131195,0.0017659824,0.00030649896,0.0011814372,0.0008423614,0.00069142884,0.002184044],"category_scores_gemma":[0.005057495,0.00023189637,0.0005209153,0.0005028951,0.00057653646,0.001975966,0.0017651158,0.00075723307,0.00054086774],"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":[0.00021205095,0.00023698172,0.017466215,0.00015473714,0.00008191736,0.00026379334,0.00019542017,0.7725876,0.022162246,0.013061743,0.0021804709,0.17139684],"study_design_scores_gemma":[0.0000048037655,0.00005589266,0.001333077,0.000011685118,0.000007848085,0.000052750816,0.00005669579,0.9852465,0.00840404,0.003922659,0.00089305354,0.000011154889],"about_ca_topic_score_codex":0.0019282474,"about_ca_topic_score_gemma":0.0016614326,"teacher_disagreement_score":0.002184044,"about_ca_system_score_codex":0.0008724877,"about_ca_system_score_gemma":0.00090839405,"threshold_uncertainty_score":0.0073063374},"labels":[],"label_agreement":null},{"id":"W7139318376","doi":"","title":"Projecte de disseny i alimentació de punts de recàrrega per a vehicles elèctrics amb generació fotovoltaica en autoconsum de 42 kW","year":2024,"lang":"es","type":"dissertation","venue":"RiuNet (Universitat Politècnica de València)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics)","score_opus":0.006293413296223643,"score_gpt":0.24159448389476357,"score_spread":0.2353010705985399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139318376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69953775,0.0065595354,0.1913236,0.0017279998,0.001118365,0.0013174732,0.001417701,0.0028703245,0.09412725],"genre_scores_gemma":[0.766472,0.0036984326,0.055540465,0.00041314648,0.0000810924,0.00039413635,0.0012598094,0.00043352312,0.1717074],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995652,0.00005751581,0.000013571018,0.00010144396,0.0001988642,0.00006338226],"domain_scores_gemma":[0.99960154,0.00004830696,0.000024419336,0.000049025308,0.00022255602,0.000054068427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081425416,0.0006671532,0.000446944,0.00079452107,0.00076609815,0.0012655925,0.0009152797,0.00078610855,0.007865085],"category_scores_gemma":[0.00050987577,0.00027693625,0.0009325503,0.00049037545,0.00029166357,0.00089954975,0.00087676325,0.0007802377,0.0018132507],"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":[0.0018921394,0.001154109,0.011485286,0.0013338662,0.00019300134,0.00089999445,0.0011305897,0.016020976,0.45997226,0.0062039294,0.014987289,0.4847265],"study_design_scores_gemma":[0.00022981949,0.005882849,0.030989211,0.00026383964,0.000343612,0.00089365797,0.0018339687,0.03656646,0.6311455,0.0024412316,0.28926402,0.00014585373],"about_ca_topic_score_codex":0.0046035964,"about_ca_topic_score_gemma":0.005420099,"teacher_disagreement_score":0.007865085,"about_ca_system_score_codex":0.00087130046,"about_ca_system_score_gemma":0.0010491102,"threshold_uncertainty_score":0.026311278},"labels":[],"label_agreement":null},{"id":"W7151076546","doi":"10.70675/c89807f5z56eez45b3zae05z266cad029c24","title":"The role of hydrogen in the energy transition","year":2021,"lang":"","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transition time; Hydrogen molecule; Energy (signal processing)","score_opus":0.0018814228790160258,"score_gpt":0.17528062807462955,"score_spread":0.17339920519561353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151076546","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4371953,0.03576651,0.041783933,0.025717089,0.0013761487,0.00007094363,0.00050962006,0.00012713605,0.45745334],"genre_scores_gemma":[0.97231096,0.006079635,0.0017135174,0.0005089285,0.00008392977,0.000026204627,0.00005122633,0.000022147065,0.019203473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998011,0.000040504045,0.000005633749,0.00004066451,0.000045044362,0.00006711667],"domain_scores_gemma":[0.9997613,0.00013931764,0.000023195613,0.00002168851,0.000029367648,0.000025112033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033967823,0.00016859874,0.00021373181,0.00031044325,0.00086088915,0.0020658546,0.000528399,0.0009894939,0.008449837],"category_scores_gemma":[0.0006282868,0.00023031252,0.00031334895,0.0003242157,0.0019699072,0.002948175,0.0015104625,0.0009514001,0.0005146646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065536784,0.000040183553,0.0026105107,0.00019684347,0.00002137373,0.00035067258,0.00056057627,0.012197976,0.0027389543,0.96007544,0.003014281,0.018127657],"study_design_scores_gemma":[0.00003840918,0.00016261586,0.009009002,0.00035036117,0.000030598443,0.0002671152,0.0037046531,0.02154935,0.007160026,0.8040104,0.15363948,0.000077923774],"about_ca_topic_score_codex":0.005406633,"about_ca_topic_score_gemma":0.005946862,"teacher_disagreement_score":0.008449837,"about_ca_system_score_codex":0.0017365672,"about_ca_system_score_gemma":0.0009964999,"threshold_uncertainty_score":0.028267443},"labels":[],"label_agreement":null},{"id":"W7154174604","doi":"10.60143/ajccl.v3.i1.2025.276","title":"Powering India’s Electric Vehicle Transition: A Policy and Regulatory Analysis of Tariff Distortion, Grid Imbalance, and Regulatory Limits in the Absence of a Coherent Policy Framework for Sustainable Market Access","year":2025,"lang":"","type":"article","venue":"Alliance Journal of Corporate and Commercial Law","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chemistry Industry Association of Canada","funders":"","keywords":"Tariff; Electricity; Sustainable development; Consumption (sociology); Electric vehicle; Grid; Electric utility; Market access; Statutory law","score_opus":0.009862421816459839,"score_gpt":0.2601401772649378,"score_spread":0.25027775544847797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154174604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58542407,0.0065700416,0.021604594,0.04613502,0.00024416743,0.00021340708,0.0008149897,0.0001547418,0.33883896],"genre_scores_gemma":[0.9927631,0.0011975189,0.0012243299,0.0010860496,0.000038728467,0.000034585308,0.00006104918,0.000013945107,0.0035806624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970722,0.0007877224,0.00009790596,0.0002445007,0.00096810417,0.0008294489],"domain_scores_gemma":[0.99684936,0.0016200369,0.0006599263,0.00019117858,0.0005359578,0.0001435679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022115505,0.00027561028,0.00026362913,0.0019193197,0.0018621322,0.0076281307,0.0015421391,0.001976676,0.001664795],"category_scores_gemma":[0.0039066286,0.0003285733,0.00069121143,0.0028255174,0.005564418,0.002696184,0.0022760448,0.0033571497,0.00019318885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059043978,0.0000672427,0.0071398304,0.00013710865,0.00002092649,0.0004639109,0.0017817033,0.018395515,0.000612821,0.95293945,0.0036374363,0.014744893],"study_design_scores_gemma":[0.00006406204,0.00047409267,0.12475115,0.0009071766,0.0002872327,0.0011297578,0.027086686,0.07859154,0.0073596956,0.56055844,0.19850142,0.00028865924],"about_ca_topic_score_codex":0.06338818,"about_ca_topic_score_gemma":0.054245364,"teacher_disagreement_score":0.06338818,"about_ca_system_score_codex":0.017167116,"about_ca_system_score_gemma":0.012546155,"threshold_uncertainty_score":0.12603843},"labels":[],"label_agreement":null},{"id":"W7161460842","doi":"","title":"Accounting for resource functionality in resource use impact assessment","year":2014,"lang":"","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Adaptability; Electrification; Work (physics); Scarcity; Life-cycle assessment; Environmental impact assessment; Competition (biology)","score_opus":0.009168987024406165,"score_gpt":0.23862848247491075,"score_spread":0.2294594954505046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161460842","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28490552,0.0019453021,0.66107047,0.000651749,0.00009407655,0.000867038,0.0036013587,0.00074361404,0.046120938],"genre_scores_gemma":[0.883212,0.0006522424,0.11195856,0.000063913816,0.000028003318,0.00023426107,0.0010572994,0.000072448645,0.0027211974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709916,0.0010792078,0.00016326016,0.00021627345,0.0011903495,0.00025171268],"domain_scores_gemma":[0.99459803,0.0028064987,0.00052415323,0.0006272751,0.0012808646,0.00016308967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004079246,0.0014639713,0.00063798425,0.0061067184,0.0007953748,0.0020825367,0.0011382792,0.00067810906,0.0022934864],"category_scores_gemma":[0.009563906,0.00038137753,0.0010682686,0.0056558116,0.0008392852,0.002786649,0.0015937574,0.00074794923,0.0002987233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008251785,0.00014811667,0.06750029,0.00037515088,0.00038216496,0.00026946218,0.00030678505,0.66583395,0.0048061,0.048734628,0.0023695573,0.20919125],"study_design_scores_gemma":[0.000013200351,0.0002014604,0.048210673,0.0002077294,0.00020742277,0.00022394065,0.0004846323,0.88415694,0.00459716,0.045777146,0.01577274,0.00014693993],"about_ca_topic_score_codex":0.05785604,"about_ca_topic_score_gemma":0.0824395,"teacher_disagreement_score":0.05785604,"about_ca_system_score_codex":0.002391153,"about_ca_system_score_gemma":0.0032272434,"threshold_uncertainty_score":0.115038514},"labels":[],"label_agreement":null},{"id":"W7161815300","doi":"10.82308/38924","title":"Comparative Analysis of the Performance of Conventional and Hybrid Electric Vehicles in Real-World Driving Conditions: Montreal Case Study","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Alternative fuels; Road transport","score_opus":0.009472505675689571,"score_gpt":0.2668698127070142,"score_spread":0.25739730703132463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161815300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910024,0.0003115225,0.0010709956,0.00008657055,0.0000091879165,0.000086853455,0.001869382,0.000048640984,0.0055143693],"genre_scores_gemma":[0.99445784,0.00024004525,0.00080709974,0.0000116922065,0.0000033405163,0.000032387015,0.0012081267,0.000010780389,0.0032286192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995166,0.00005919443,0.00001768449,0.00008761127,0.00016143943,0.00015748147],"domain_scores_gemma":[0.9991066,0.00023709604,0.00009223609,0.000040781346,0.00044953162,0.00007381731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842458,0.00071519974,0.00039371985,0.0012516123,0.00066352624,0.00131026,0.001009726,0.0006050775,0.002729279],"category_scores_gemma":[0.0016065432,0.00023886422,0.0005646209,0.0023734572,0.00055096415,0.0005096304,0.0003976721,0.00026585665,0.00027566886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013990485,0.00070280815,0.36293477,0.00078249036,0.00074139755,0.0032530776,0.0009968339,0.55022144,0.014225007,0.0031719387,0.0062711416,0.055300012],"study_design_scores_gemma":[0.00014311915,0.0009806775,0.68800694,0.000064330445,0.00043950984,0.00031288504,0.004666577,0.29079118,0.005784588,0.0003624319,0.008261914,0.00018586143],"about_ca_topic_score_codex":0.88059384,"about_ca_topic_score_gemma":0.9200418,"teacher_disagreement_score":0.11940616,"about_ca_system_score_codex":0.010566933,"about_ca_system_score_gemma":0.0033050587,"threshold_uncertainty_score":0.2402187},"labels":[],"label_agreement":null},{"id":"W7162016924","doi":"10.82308/7311","title":"Smart residential electric vehicle charging control via reinforcement learning","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Economic analysis; Reinforced concrete","score_opus":0.0025772231890542683,"score_gpt":0.19382344619087524,"score_spread":0.19124622300182098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162016924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10742537,0.00086155004,0.87761027,0.00042505303,0.00018291593,0.000104568324,0.000077549776,0.0019352717,0.011377461],"genre_scores_gemma":[0.9884243,0.00008753203,0.00931452,0.000055025575,0.000020554735,0.00003780201,0.000036760903,0.000014625309,0.0020088728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997031,0.000073215415,0.000015310163,0.000073153846,0.00007188473,0.00006341603],"domain_scores_gemma":[0.9994624,0.00025356098,0.00007215641,0.000032023883,0.0001418865,0.000037835587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005859151,0.00053258985,0.00067186024,0.00021675267,0.0002450604,0.0005479517,0.0007783634,0.00048428995,0.0020316318],"category_scores_gemma":[0.0014504658,0.00023907563,0.00028900075,0.00021581439,0.00038703516,0.00041485086,0.00054345204,0.00075460225,0.0003485878],"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":[0.00023860752,0.00013302108,0.0011054465,0.00007761212,0.000036329406,0.000081465434,0.000042513497,0.9087634,0.002452649,0.0020699578,0.0014207845,0.083578214],"study_design_scores_gemma":[0.000013745758,0.000032351818,0.00012194878,0.0000025393435,0.0000034588434,0.0000074147856,0.0000029124633,0.99882406,0.00027207978,0.00051195285,0.00020469805,0.0000027920212],"about_ca_topic_score_codex":0.0067888065,"about_ca_topic_score_gemma":0.0054529095,"teacher_disagreement_score":0.0067888065,"about_ca_system_score_codex":0.00046773892,"about_ca_system_score_gemma":0.0007042284,"threshold_uncertainty_score":0.013498604},"labels":[],"label_agreement":null},{"id":"W7162019578","doi":"10.82308/9718","title":"Essays on the economics of electric vehicle markets: Effect of subsidies on adoption, infrastructure development, and environmental outcomes","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Electric vehicle; Electric cars; Work (physics); Leverage (statistics); Battery electric vehicle; Electric utility","score_opus":0.00228883710435194,"score_gpt":0.17368867137412536,"score_spread":0.17139983426977343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162019578","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25476775,0.07009118,0.0046821064,0.2932679,0.0019647307,0.00008327146,0.0016698379,0.00004521587,0.3734281],"genre_scores_gemma":[0.8666417,0.047757152,0.0008206093,0.008527276,0.0016036595,0.00006530322,0.00040163813,0.000032800028,0.074149735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99959046,0.00010619172,0.000011853906,0.000044680786,0.00016517921,0.00008174087],"domain_scores_gemma":[0.9947994,0.003601028,0.00042803268,0.00013190742,0.00083094847,0.0002087623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010054255,0.0003438211,0.0003535306,0.00084682467,0.0012626492,0.002135528,0.00052469585,0.0014232837,0.012811367],"category_scores_gemma":[0.005963816,0.00014042493,0.0004870368,0.0012814782,0.0028794336,0.0016608783,0.00071938965,0.001394221,0.00058065174],"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":[0.00017638736,0.00055560714,0.04105728,0.00078036916,0.00015877717,0.00044796462,0.0042915824,0.010702191,0.00087759295,0.6661208,0.18141206,0.093419425],"study_design_scores_gemma":[0.000096239426,0.00022094543,0.13207865,0.0013942849,0.00011485883,0.00013034836,0.008897238,0.0038497518,0.00062158034,0.29005966,0.5624642,0.00007216598],"about_ca_topic_score_codex":0.08077318,"about_ca_topic_score_gemma":0.08072425,"teacher_disagreement_score":0.08077318,"about_ca_system_score_codex":0.006481526,"about_ca_system_score_gemma":0.003678343,"threshold_uncertainty_score":0.16060603},"labels":[],"label_agreement":null},{"id":"W779745502","doi":"10.1016/j.techfore.2015.06.012","title":"Effect of socio-economic factors on EV/HEV/PHEV adoption rate in Ontario","year":2015,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"","keywords":"Electric vehicle; Greenhouse gas; Business; Total cost of ownership; Environmental economics; Market penetration; Fuel efficiency; Environmental science; Automotive engineering; Transport engineering; Agricultural economics; Engineering; Economics; Marketing","score_opus":0.05652831431976902,"score_gpt":0.23528093150034662,"score_spread":0.1787526171805776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W779745502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685705,0.00010248767,0.000065710876,0.00023917915,0.000004256443,0.000013869973,0.00066856237,0.0000055763976,0.0020432193],"genre_scores_gemma":[0.99722916,0.00015421113,0.00007425817,0.000027988002,0.0000027741253,0.000009470228,0.0003014494,0.000003394925,0.0021974165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993667,0.00007072115,0.0000459377,0.000082866674,0.00019794289,0.00023578596],"domain_scores_gemma":[0.99656665,0.0005897983,0.00084188126,0.000095874326,0.0011933909,0.0007123519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062601606,0.00012938915,0.000198263,0.00073370355,0.0011097218,0.0010319292,0.0006558285,0.00037152568,0.0025814641],"category_scores_gemma":[0.0034249916,0.00024049677,0.00059769186,0.0015150714,0.00054031634,0.0005351857,0.0006726005,0.0005381279,0.00020858437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009981567,0.000042646257,0.9919545,0.000025023384,0.000040775154,0.0001142144,0.0022401349,0.0004479554,0.0002921706,0.00024195452,0.00054665114,0.003954084],"study_design_scores_gemma":[0.000003575548,0.00001665502,0.9953296,0.000012472916,0.00001233167,0.000020530228,0.0030775112,0.000588241,0.00006485633,0.000016476752,0.00085099565,0.0000067222195],"about_ca_topic_score_codex":0.9872507,"about_ca_topic_score_gemma":0.9934837,"teacher_disagreement_score":0.017001871,"about_ca_system_score_codex":0.017001871,"about_ca_system_score_gemma":0.018317994,"threshold_uncertainty_score":0.12335777},"labels":[],"label_agreement":null},{"id":"W804238190","doi":"","title":"An explorative study on the sufficiency of the Irish road regulations for powered mobility users","year":2014,"lang":"en","type":"article","venue":"Lenus, The Irish Health Repository (Dr Steevens Hospital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Irish; Government (linguistics); Service (business); Business; Public transport; Transport engineering; Engineering; Political science; Marketing; Law","score_opus":0.012911082825582808,"score_gpt":0.24274660103434714,"score_spread":0.22983551820876433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W804238190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771214,0.000039095,0.00017610168,0.00014499106,0.000005669142,0.000043767708,0.00004602925,0.0000015856156,0.0018305704],"genre_scores_gemma":[0.9984049,0.00009151493,0.00037075748,0.00017636082,0.0000049615714,0.000118589945,0.000044947927,0.0000045038096,0.0007833893],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99232215,0.004686872,0.00047196823,0.00041647354,0.001151929,0.0009506175],"domain_scores_gemma":[0.9870243,0.0068977186,0.0026304093,0.0007401707,0.0021734731,0.0005338448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011563908,0.00020986967,0.00043005234,0.0013572631,0.0024288266,0.0028762426,0.0007871966,0.0006004514,0.0020070814],"category_scores_gemma":[0.017810786,0.0004506963,0.000361188,0.0014122091,0.0018371196,0.0019352536,0.002262144,0.001055479,0.00029473673],"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":[0.00023564763,0.00026363975,0.2774246,0.00025421332,0.000038330505,0.000759741,0.6930342,0.00007750148,0.0011981506,0.0011503418,0.0012238239,0.024339821],"study_design_scores_gemma":[0.000007663398,0.00027215926,0.081689075,0.000117625954,0.000012518276,0.0002750102,0.9119961,0.000118548625,0.00028662884,0.00009883981,0.005095717,0.000030069243],"about_ca_topic_score_codex":0.022700671,"about_ca_topic_score_gemma":0.039360538,"teacher_disagreement_score":0.022700671,"about_ca_system_score_codex":0.0027178454,"about_ca_system_score_gemma":0.0032770173,"threshold_uncertainty_score":0.06115657},"labels":[],"label_agreement":null}]}