{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":152,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":152,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1b26c948610f","filters":{"venue":"Transportation Research Part D Transport and Environment"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Scott Hardman","is_ca":false},{"name":"Alan Jenn","is_ca":false},{"name":"Gil Tal","is_ca":false},{"name":"Jonn Axsen","is_ca":true},{"name":"George Beard","is_ca":false},{"name":"Nicolò Daina","is_ca":false},{"name":"Erik Figenbaum","is_ca":false},{"name":"Niklas Jakobsson","is_ca":false},{"name":"Neale Kinnear","is_ca":false},{"name":"Patrick Plötz","is_ca":false},{"name":"José Pedro Pontes","is_ca":false},{"name":"Nazir Refa","is_ca":false},{"name":"Frances Sprei","is_ca":false},{"name":"Tom Turrentine","is_ca":false},{"name":"Bert Witkamp","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03565171918040726,"gpt":0.3002899691217544,"spread":0.2646382499413471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009396976,0.0005546691,0.001054667,0.001959252,0.0001806884,0.001146535,0.000583759,0.0008256929,0.003397862],"category_scores_gemma":[0.002890524,0.0002605069,0.000963299,0.003814804,0.0002939541,0.001300122,0.0003779181,0.0008764058,0.000344055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000552578,"about_ca_system_score_gemma":0.0009648008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004406507,"about_ca_topic_score_gemma":0.008549636,"domain_scores_codex":[0.9996203,0.00009017733,0.00008300216,0.00007837178,0.0001054374,0.00002260987],"domain_scores_gemma":[0.9981169,0.00134352,0.0002207191,0.00002269115,0.0002673874,0.0000289207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000236021,0.0001383168,0.005906927,0.08896159,0.0009367211,0.0003527583,0.0006369053,0.0003119497,0.0006270768,0.002442275,0.0229049,0.8765447],"study_design_scores_gemma":[0.00005865377,0.0003973517,0.05396988,0.06588023,0.003136422,0.003652273,0.002357377,0.000316742,0.0009132011,0.002522105,0.8666087,0.0001870138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002265742,0.9954829,0.0001371608,0.0004499086,0.0001269637,0.000007644559,0.0001810839,0.000002747905,0.001345959],"genre_scores_gemma":[0.007087753,0.9915745,0.0002881461,0.000426084,0.0001086322,0.00000942421,0.0001298277,0.000001738898,0.0003739529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004406507,"threshold_uncertainty_score":0.01136696,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048620347","doi":"10.1016/j.trd.2012.02.002","title":"Green supply chain network design to reduce carbon emissions","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":453,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Knapsack problem; Lagrangian relaxation; Mathematical optimization; Supply chain; Minification; Heuristic; Greenhouse gas; Supply chain network; Function (biology); Variable (mathematics); Network planning and design; Facility location problem; Total cost; Relaxation (psychology); Computer science; Enhanced Data Rates for GSM Evolution; Supply chain management; Mathematics; Economics; Microeconomics; Business","authors":[{"name":"Samir Elhedhli","is_ca":true},{"name":"Ryan Merrick","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05140155867874394,"gpt":0.2753035533968599,"spread":0.223901994718116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004787967,0.0004848246,0.0003492734,0.0006828402,0.000556915,0.0008160298,0.000664206,0.0004775875,0.006638011],"category_scores_gemma":[0.001149198,0.0002529945,0.0003558384,0.0008636955,0.0003511404,0.001403864,0.0005532425,0.0004188847,0.0003138779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448362,"about_ca_system_score_gemma":0.001313576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003095752,"about_ca_topic_score_gemma":0.007605366,"domain_scores_codex":[0.9997213,0.00009627859,0.00000804419,0.00005920842,0.00007508446,0.00004005768],"domain_scores_gemma":[0.9994998,0.0001580573,0.00005879017,0.00003898406,0.0002025227,0.00004189692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002130891,0.000236876,0.00100523,0.0001557909,0.00005324565,0.00008211783,0.00009609524,0.8400078,0.01372797,0.04742776,0.003010851,0.09398303],"study_design_scores_gemma":[0.00003347286,0.0000999804,0.0002854515,0.00002127703,0.00006253356,0.00002459203,0.00009330259,0.9566765,0.006865899,0.03103995,0.004786565,0.00001055447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1164851,0.000350086,0.8552157,0.0009047429,0.0001660459,0.0001645151,0.0001768432,0.0004766178,0.0260603],"genre_scores_gemma":[0.8886452,0.000355212,0.09868538,0.0001327976,0.00003244707,0.0001075178,0.0001377277,0.00008683973,0.01181691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638011,"threshold_uncertainty_score":0.02220637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029359129","doi":"10.1016/j.trd.2007.03.001","title":"Household demand and willingness to pay for clean vehicles","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":427,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Alexander S. Onassis Public Benefit Foundation; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Willingness to pay; Incentive; Respondent; Discrete choice; Business; Occupancy; Metropolitan area; Nested logit; Environmental economics; Alternative fuel vehicle; Economics; Microeconomics; Engineering; Econometrics; Alternative fuels","authors":[{"name":"Dimitris Potoglou","is_ca":true},{"name":"Pavlos Kanaroglou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1720836460397265,"gpt":0.2808418010829752,"spread":0.1087581550432487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589147,0.000182748,0.0003103962,0.0005778524,0.0002628657,0.001004852,0.0003907769,0.001485187,0.01756538],"category_scores_gemma":[0.004730279,0.0003703017,0.0007677254,0.0008427849,0.0003770521,0.001097156,0.0003049707,0.001094351,0.001290478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511292,"about_ca_system_score_gemma":0.0002156657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009926642,"about_ca_topic_score_gemma":0.008092345,"domain_scores_codex":[0.9996284,0.0001444941,0.00002132891,0.00004043603,0.0000414974,0.0001238691],"domain_scores_gemma":[0.9932903,0.004795123,0.0009667472,0.0002549021,0.0002382684,0.0004547243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001618139,0.0008803537,0.9446877,0.0001049726,0.0005507831,0.00080217,0.0009689009,0.01886239,0.001562527,0.01241476,0.002597229,0.01495014],"study_design_scores_gemma":[0.00008654659,0.0003702982,0.9453872,0.00003251039,0.0001722523,0.000604469,0.004496618,0.0330575,0.0005040172,0.01294064,0.00229556,0.00005239388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945532,0.0001596245,0.000738242,0.0006663128,0.000008918036,0.000009571572,0.0007507706,0.00001087765,0.003102512],"genre_scores_gemma":[0.9978131,0.0000546614,0.00008275751,0.00003634722,0.00001243262,0.000007820961,0.0003355582,0.00000240069,0.001654815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756538,"threshold_uncertainty_score":0.05876201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054974723","doi":"10.1016/j.trd.2011.01.011","title":"A comparative analysis of several vehicle emission models for road freight transportation","year":2011,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":397,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Greenhouse gas; Transport engineering; Process (computing); Traffic management; Environmental science; Computer science; Engineering; Geology","authors":[{"name":"Emrah Demir","is_ca":false},{"name":"Tolga Bektaş","is_ca":false},{"name":"Gilbert Laporte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09033477990017989,"gpt":0.2951937572182257,"spread":0.2048589773180458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780884,0.00118345,0.001345668,0.001839548,0.0006940475,0.001497037,0.00133379,0.001282574,0.002711685],"category_scores_gemma":[0.003790287,0.0003996651,0.002575121,0.00163327,0.0003295508,0.001397261,0.0004400336,0.0006583573,0.0002821825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677556,"about_ca_system_score_gemma":0.001105484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02877367,"about_ca_topic_score_gemma":0.02238333,"domain_scores_codex":[0.999136,0.0004386498,0.00003457343,0.00009659439,0.000181988,0.0001122457],"domain_scores_gemma":[0.9957724,0.003597654,0.0001130736,0.0001139992,0.000366383,0.00003648396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00028714,0.0001601403,0.003201246,0.0001686334,0.0001607927,0.00005081511,0.00004785731,0.9774649,0.0006968419,0.003282772,0.000453456,0.01402533],"study_design_scores_gemma":[0.00004406843,0.0003720766,0.005697155,0.00003124723,0.0002370392,0.000033549,0.0001289544,0.9888637,0.001104704,0.002313279,0.001144537,0.00002971081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514629,0.00410288,0.1174947,0.0004470959,0.000114565,0.0001979833,0.001726314,0.0004811056,0.02397255],"genre_scores_gemma":[0.9856269,0.001003831,0.009764449,0.00003328097,0.00003149114,0.00008889919,0.0008479893,0.0001390778,0.002464173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02877367,"threshold_uncertainty_score":0.05721235,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977108564","doi":"10.1016/j.trd.2011.01.009","title":"Validating walkability indices: How do different households respond to the walkability of their neighborhood?","year":2011,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":345,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Walkability; TRIPS architecture; Index (typography); Geography; Transport engineering; Correlation; Built environment; Computer science; Mathematics; Engineering; Civil engineering","authors":[{"name":"Kevin Manaugh","is_ca":true},{"name":"Ahmed El-Geneidy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1218175577041744,"gpt":0.3223829198972372,"spread":0.2005653621930628,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005882661,0.0005435181,0.0008299809,0.001063188,0.0006636066,0.001370803,0.00099272,0.001569903,0.001225297],"category_scores_gemma":[0.02464092,0.0003166083,0.0009682379,0.001582558,0.000750057,0.001503148,0.00117123,0.0006726579,0.0006370613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101881,"about_ca_system_score_gemma":0.0004295607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005946315,"about_ca_topic_score_gemma":0.00855317,"domain_scores_codex":[0.9944162,0.002781405,0.0006574062,0.0007972934,0.001028638,0.0003190117],"domain_scores_gemma":[0.9873927,0.005549088,0.002456596,0.001630234,0.002513606,0.0004577022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001716227,0.0001767642,0.9865959,0.00006373343,0.000304077,0.00002193753,0.001123829,0.0006544541,0.0009167118,0.0002780562,0.0006902491,0.009002692],"study_design_scores_gemma":[0.00002475096,0.0003257036,0.9878778,0.0000387975,0.000105518,0.00009077472,0.003138143,0.004779855,0.001469436,0.0007976217,0.001320636,0.00003098122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922022,0.00004851825,0.004866865,0.00006021362,0.00002942856,0.0001430648,0.00103928,0.00002884052,0.001581516],"genre_scores_gemma":[0.9925604,0.00003698612,0.004883168,0.00006285506,0.00001138298,0.0003450198,0.001790385,0.00002536873,0.0002845397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005946315,"threshold_uncertainty_score":0.03111088,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030946562","doi":"10.1016/s1361-9209(01)00014-1","title":"An environmental-economic evaluation of hybrid electric vehicles: Toyota's Prius vs. its conventional internal combustion engine Corolla","year":2002,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":176,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Gasoline; Green vehicle; Internal combustion engine; Miles per gallon gasoline equivalent; Natural resource economics; Combustion; Environmental economics; Environmental science; Business; Fuel efficiency; Waste management; Automotive engineering; Economics; Engineering","authors":[{"name":"Lester B. Lave","is_ca":false},{"name":"Heather L. MacLean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04424999956377384,"gpt":0.2861619400699529,"spread":0.241911940506179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020824,0.0006357803,0.0005360112,0.0008054617,0.0005557408,0.002159314,0.0006154895,0.0007376352,0.004650005],"category_scores_gemma":[0.003372574,0.0001746983,0.0007048005,0.0006561392,0.0009531829,0.001521116,0.0008987676,0.0009018858,0.0001302204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003426418,"about_ca_system_score_gemma":0.001030673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01906386,"about_ca_topic_score_gemma":0.01489438,"domain_scores_codex":[0.9992101,0.0004823942,0.00001784813,0.00006111532,0.0001208645,0.0001076323],"domain_scores_gemma":[0.9985785,0.0009843844,0.00006011963,0.00005693234,0.0002263913,0.00009361364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01045783,0.0007606905,0.02319949,0.000881434,0.0005983896,0.0007331237,0.000231308,0.6908128,0.007684218,0.1887894,0.006166522,0.06968486],"study_design_scores_gemma":[0.001170396,0.006439663,0.04581637,0.0001981078,0.001261006,0.0002765924,0.003270103,0.8503507,0.009889304,0.06386606,0.01726826,0.000193507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506893,0.00222711,0.005047692,0.001267368,0.0001041635,0.00009607065,0.0005408828,0.00003158543,0.03999584],"genre_scores_gemma":[0.9971373,0.0002940775,0.0003910788,0.00003745292,0.00001291718,0.00001157694,0.00006919546,0.000004131868,0.002042284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01906386,"threshold_uncertainty_score":0.03790581,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Joseph P. Bailey","is_ca":true},{"name":"Amy Miele","is_ca":true},{"name":"Jonn Axsen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07775653568474657,"gpt":0.2740628191683816,"spread":0.196306283483635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442354,0.0001208594,0.0001974042,0.0009941331,0.0004212405,0.001746444,0.0005817126,0.001560352,0.008268903],"category_scores_gemma":[0.01967593,0.0002455825,0.0005416034,0.001374634,0.0006493407,0.001461241,0.0006547094,0.001959566,0.0008338383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006486245,"about_ca_system_score_gemma":0.0006678868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122915,"about_ca_topic_score_gemma":0.008126676,"domain_scores_codex":[0.998645,0.0004313164,0.0001250347,0.0001334625,0.0002935186,0.0003716691],"domain_scores_gemma":[0.9768181,0.007445796,0.01078034,0.0008111075,0.002440976,0.001703774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001798469,0.0002388466,0.990163,0.00003536067,0.00004959199,0.0001217508,0.0007311046,0.00002950153,0.00007337663,0.0003135961,0.0008990348,0.007164976],"study_design_scores_gemma":[0.000006799224,0.00007362509,0.9935755,0.00005407511,0.00004868312,0.0003408587,0.003811796,0.0002324261,0.0001137874,0.0003076786,0.001424996,0.000009781726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986785,0.0004252728,0.0001206085,0.004686032,0.0000609987,0.00001023868,0.0003763344,0.000007291616,0.007528263],"genre_scores_gemma":[0.9987733,0.0001986311,0.00003546742,0.0003540573,0.00006885979,0.000004663739,0.0001331237,0.000002714053,0.000429276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01122915,"threshold_uncertainty_score":0.02766222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034248128","doi":"10.1016/j.trd.2020.102412","title":"Electric bicycle mode substitution for driving, public transit, conventional cycling, and walking","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Context (archaeology); Mode choice; TRIPS architecture; Substitution (logic); Transit (satellite); Mode (computer interface); China; Transport engineering; Displacement (psychology); Cycling; Travel behavior; Geography; Advertising; Engineering; Business; Psychology; Computer science","authors":[{"name":"Alexander Bigazzi","is_ca":true},{"name":"K. S. K. Wong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.087675105309605,"gpt":0.3507386070597582,"spread":0.2630635017501533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624251,0.0002779443,0.0002602981,0.0004751728,0.0002957475,0.0004603989,0.0004639635,0.000338104,0.008957063],"category_scores_gemma":[0.002236604,0.00007930658,0.0008050949,0.0007434346,0.0001064352,0.0004685665,0.0003084592,0.0004019561,0.0006460653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129266,"about_ca_system_score_gemma":0.0009578741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126595,"about_ca_topic_score_gemma":0.05864191,"domain_scores_codex":[0.9996899,0.00008499206,0.00003071927,0.00005496645,0.00006040822,0.00007890238],"domain_scores_gemma":[0.999436,0.0001636952,0.0001209378,0.00003194078,0.0001139539,0.0001335089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007421186,0.001272296,0.858462,0.0002426962,0.0003365039,0.0002926191,0.0003760339,0.0005702529,0.001022844,0.000497745,0.002117645,0.1273882],"study_design_scores_gemma":[0.00007375975,0.0009211036,0.9928662,0.0000743947,0.0003471029,0.0003812009,0.0009750305,0.001012633,0.0004437452,0.0002484167,0.002641392,0.00001500064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959458,0.0007797494,0.00008977673,0.0001171431,0.00006894379,0.00001957213,0.0006056495,0.000007582049,0.002365873],"genre_scores_gemma":[0.9964323,0.0006159627,0.0001729641,0.00004570978,0.00002394296,0.00001800035,0.0004535257,0.000005255234,0.002232362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02126595,"threshold_uncertainty_score":0.04228437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011718252","doi":"10.1016/j.trd.2010.07.011","title":"A travel behavior analysis of urban cycling facilities in Montréal, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"McGill University; Brown University","keywords":"Cycling; TRIPS architecture; Respondent; Transport engineering; Geography; Travel behavior; Business; Engineering; Forestry","authors":[{"name":"Jacob Larsen","is_ca":true},{"name":"Ahmed El-Geneidy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03863285248473865,"gpt":0.3110946357825869,"spread":0.2724617832978483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000374664,0.0005446847,0.0003718341,0.002604198,0.002421629,0.001245064,0.001103119,0.000400936,0.003906421],"category_scores_gemma":[0.0008600262,0.0002579481,0.0007802325,0.006202168,0.0003621268,0.000391012,0.0005907259,0.0004181426,0.0004278154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02438268,"about_ca_system_score_gemma":0.01660934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975809,"about_ca_topic_score_gemma":0.9988992,"domain_scores_codex":[0.9995696,0.00005213248,0.00002256683,0.00008089967,0.000103933,0.0001709753],"domain_scores_gemma":[0.9991702,0.00003858798,0.00008142414,0.00001715155,0.0004952469,0.0001973322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001516012,0.0001534697,0.9812838,0.00005957147,0.0001812977,0.000145066,0.001688858,0.001590213,0.000821625,0.0003425925,0.002963754,0.01061812],"study_design_scores_gemma":[0.000003942223,0.00002541655,0.9967663,0.00001103714,0.00002027969,0.00001214693,0.001144886,0.0009865483,0.00005994915,0.000007173274,0.0009526706,0.000009662347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912498,0.0002225077,0.0002194428,0.00008440793,0.000005324021,0.00007428379,0.006272642,0.00001748612,0.001854165],"genre_scores_gemma":[0.9913909,0.0001795618,0.0004343381,0.00003508179,0.000003835938,0.00004011919,0.004358867,0.000009906398,0.003547514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02438268,"threshold_uncertainty_score":0.1769095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083178764","doi":"10.1016/j.trd.2007.07.005","title":"Extent and correlates of walking in the USA","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Recreation; Mile; Demography; Geography; Travel behavior; Quarter (Canadian coin); Population; Demographic economics; Transport engineering; Economics; Engineering; Sociology; Political science","authors":[{"name":"Asha Weinstein Agrawal","is_ca":false},{"name":"Paul Schimek","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06375897066841953,"gpt":0.3539145720431291,"spread":0.2901556013747096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002623921,0.0001116922,0.0001723836,0.0009139761,0.0004629841,0.000609895,0.0002479874,0.0003375397,0.001509191],"category_scores_gemma":[0.001730072,0.0001714121,0.0002722356,0.002024638,0.0003001578,0.0003436956,0.0005671384,0.0005577169,0.0001970918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240136,"about_ca_system_score_gemma":0.0004567722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1094142,"about_ca_topic_score_gemma":0.2557286,"domain_scores_codex":[0.9997545,0.00008053218,0.00002829904,0.00004317382,0.00004136536,0.00005225707],"domain_scores_gemma":[0.9980756,0.0003248322,0.0007436636,0.0001098231,0.0003681184,0.0003779777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003206003,0.00002941924,0.9985839,0.000003284726,0.00002740645,0.00001167711,0.0001160375,0.00005557436,0.00004417467,0.00003528552,0.0002345633,0.0008266609],"study_design_scores_gemma":[4.061956e-7,0.000006049028,0.9995878,0.000002092666,0.00000371598,0.000009164945,0.0002209209,0.00005207588,0.000004629678,0.000009900581,0.0001023424,8.768664e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979615,0.0000914436,0.00004158896,0.00009786777,0.000005172161,0.000003156719,0.0007931762,0.0000039114,0.001002203],"genre_scores_gemma":[0.99898,0.0001010747,0.00002971012,0.00001755421,0.000005805683,0.000004272326,0.0006623189,0.000001397106,0.0001977876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1094142,"threshold_uncertainty_score":0.2175547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978662634","doi":"10.1016/j.trd.2014.11.010","title":"Development of simulated driving cycles for light, medium, and heavy duty trucks: Case of the Toronto Waterfront Area","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Driving cycle; Automotive engineering; Acceleration; Range (aeronautics); Duty cycle; Heavy duty; Driving simulator; Schedule; Dynamometer; Environmental science; Simulation; Traffic simulation; Transport engineering; Engineering; Computer science; Microsimulation; Voltage","authors":[{"name":"Glareh Amirjamshidi","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02536820724684131,"gpt":0.2619109305279488,"spread":0.2365427232811075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850955,0.000643337,0.0004824193,0.0008345032,0.0009067592,0.0008537816,0.001161908,0.001245025,0.002878752],"category_scores_gemma":[0.00174514,0.0005959566,0.0006305925,0.0008582579,0.0005218148,0.0004041889,0.0003509041,0.0005186484,0.0002068786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003843471,"about_ca_system_score_gemma":0.003015133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.456126,"about_ca_topic_score_gemma":0.3970445,"domain_scores_codex":[0.999803,0.00005952698,0.00001016336,0.00002691492,0.00004054022,0.00005987223],"domain_scores_gemma":[0.9989977,0.000523634,0.00005465552,0.00004757393,0.0002812686,0.00009510799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001133656,0.00008316369,0.003926899,0.00002674176,0.00001077059,0.000099047,0.0001021294,0.9927834,0.000438987,0.0003729606,0.0002430178,0.001799488],"study_design_scores_gemma":[0.00003295836,0.00007391634,0.003939068,0.000006266468,0.00000945907,0.000008927528,0.0002116671,0.9947063,0.0005856915,0.0001263158,0.0002889509,0.00001049705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896998,0.00003935447,0.002155495,0.00006317439,0.00001052304,0.00007543253,0.000907114,0.00009213585,0.006957042],"genre_scores_gemma":[0.9975711,0.00002159391,0.001142534,0.000004079872,7.855063e-7,0.00003260393,0.0003280734,0.00001168814,0.0008876493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.543874,"threshold_uncertainty_score":0.9069421,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Roger M. Smith","is_ca":true},{"name":"Soheil Shahidinejad","is_ca":true},{"name":"Danny Blair","is_ca":true},{"name":"Eric Bibeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01710309972398388,"gpt":0.2172850525346067,"spread":0.2001819528106228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250621,0.0002285843,0.000199407,0.0003670974,0.0001340184,0.000291838,0.000216927,0.0001428536,0.000586257],"category_scores_gemma":[0.0004812949,0.0001071235,0.0001200632,0.0003176787,0.00005374422,0.0001831674,0.00007495972,0.00008446447,0.0001561085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687345,"about_ca_system_score_gemma":0.0002487406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525011,"about_ca_topic_score_gemma":0.008663572,"domain_scores_codex":[0.9999501,0.00001166797,0.000002950741,0.00001093793,0.00001512092,0.000009274747],"domain_scores_gemma":[0.9997695,0.00007407616,0.00002525427,0.00001885288,0.00009371573,0.00001859705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002919046,0.001064021,0.2446242,0.0003193685,0.0001396871,0.0002583367,0.0005484108,0.229464,0.2911362,0.0008627445,0.002220068,0.226444],"study_design_scores_gemma":[0.00005003565,0.0008038456,0.2652294,0.00001937574,0.00009665959,0.0001476053,0.0006278778,0.6005757,0.1298891,0.0004776462,0.002040785,0.00004187654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911695,0.00003929783,0.007732652,0.00001528355,0.000002752652,0.00001917963,0.0001802826,0.00009007665,0.0007510014],"genre_scores_gemma":[0.9986184,0.00001725243,0.001011167,0.000002792828,7.439566e-7,0.000006709096,0.0001426168,0.00001049871,0.0001898201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003525011,"threshold_uncertainty_score":0.007009029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2978036655","doi":"10.1016/j.trd.2019.09.020","title":"Simulating impacts of automated driving behavior and traffic conditions on vehicle emissions","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Microsimulation; Traffic flow (computer networking); Transport engineering; Traffic congestion; Electrification; Computer science; Automotive engineering; Environmental science; Engineering; Computer security","authors":[{"name":"Christos Stogios","is_ca":true},{"name":"Dena Kasraian","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true},{"name":"Marianne Hatzopoulou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02302816725912848,"gpt":0.2955877370933237,"spread":0.2725595698341952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000354939,0.0007442219,0.0005084603,0.0004761919,0.0004818137,0.0008192605,0.0007173616,0.001131062,0.001950957],"category_scores_gemma":[0.001232936,0.0004497783,0.0007961934,0.000463413,0.000451267,0.0005398139,0.0003449918,0.0005456944,0.0001625384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087599,"about_ca_system_score_gemma":0.001099841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04576125,"about_ca_topic_score_gemma":0.02697736,"domain_scores_codex":[0.9997929,0.00004735043,0.000009092973,0.00004553855,0.00002941519,0.00007569976],"domain_scores_gemma":[0.9989814,0.0007159408,0.00005950257,0.00005319878,0.0001095099,0.00008031956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002102468,0.0003081487,0.004726269,0.00001468257,0.00002860557,0.00004436983,0.00002427214,0.9908387,0.00206362,0.0001190533,0.00006932277,0.001552707],"study_design_scores_gemma":[0.00003435219,0.0001663663,0.004535378,0.00000161581,0.00002157559,0.000006838081,0.00003651802,0.993449,0.001586973,0.00008927615,0.00006287391,0.000009286398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997901,0.000007971789,0.0009630925,0.00001504894,0.00001020934,0.00001314646,0.0001210094,0.00003850502,0.0009299791],"genre_scores_gemma":[0.998917,0.000009632749,0.0005741107,0.000004698573,0.000002212783,0.00001022346,0.00009071497,0.000006501647,0.0003848839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04576125,"threshold_uncertainty_score":0.09098977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898106865","doi":"10.1016/j.trd.2018.10.001","title":"Assessing safety of shared space using cyclist-pedestrian interactions and automated video conflict analysis","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Traffic and Road Safety","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"McGill University","keywords":"Pedestrian; Shared space; Space (punctuation); Computer science; Transport engineering; Engineering","authors":[{"name":"David Beitel","is_ca":true},{"name":"Joshua Stipancic","is_ca":true},{"name":"Kevin Manaugh","is_ca":true},{"name":"Luis Miranda-Moreno","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06529173049465396,"gpt":0.3401104072504281,"spread":0.2748186767557741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006914467,0.0006132296,0.0004111783,0.003457451,0.0004666185,0.0009859313,0.0006143905,0.0005806247,0.001314646],"category_scores_gemma":[0.004409596,0.0002471344,0.0004277354,0.001353792,0.0002729055,0.0008476037,0.0008053327,0.0003070488,0.0002973234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401117,"about_ca_system_score_gemma":0.0009280227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721413,"about_ca_topic_score_gemma":0.0238117,"domain_scores_codex":[0.9988458,0.000405964,0.00006238373,0.000214263,0.0003456264,0.0001259172],"domain_scores_gemma":[0.9974734,0.001105061,0.0005047133,0.0001072898,0.0006170798,0.000192348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002688623,0.001092942,0.7724199,0.0002846031,0.0008032311,0.0004163964,0.001711079,0.03272093,0.02241812,0.001004076,0.00144123,0.1629989],"study_design_scores_gemma":[0.00008131088,0.001460255,0.6000758,0.00007821881,0.0003037142,0.0006638221,0.003546203,0.3820091,0.009120841,0.001436259,0.001126632,0.00009794046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851768,0.0001182029,0.01233091,0.00002727094,0.00001316,0.00008853834,0.0005275179,0.00006905495,0.001648545],"genre_scores_gemma":[0.9927775,0.00005494173,0.006495833,0.000008175913,0.000009390874,0.00004273838,0.0004076563,0.000007044999,0.0001968635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721413,"threshold_uncertainty_score":0.03422785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066204044","doi":"10.1016/j.trd.2006.07.003","title":"Greenhouse gas emissions and the surface transport of freight in Canada","year":2006,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Canada Energy Regulator; University of Waterloo; Carleton University","funders":"","keywords":"Greenhouse gas; Truck; Kyoto Protocol; Modal shift; Government (linguistics); Fuel efficiency; International trade; Business; Natural resource economics; Environmental science; Economics; Agricultural economics; Economy; Transport engineering; Engineering; Public transport","authors":[{"name":"Paul A. Steenhof","is_ca":true},{"name":"Clarence Woudsma","is_ca":true},{"name":"Erik Sparling","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01516183835706385,"gpt":0.2427374182272535,"spread":0.2275755798701896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003364434,0.0004187923,0.0003827317,0.001321437,0.002698902,0.002782045,0.0009358948,0.0009044472,0.003883254],"category_scores_gemma":[0.001223386,0.0003677667,0.0007389932,0.003833164,0.0008039901,0.0007674072,0.0006828855,0.001184073,0.0002242628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08817766,"about_ca_system_score_gemma":0.07458592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99959,"about_ca_topic_score_gemma":0.9996361,"domain_scores_codex":[0.9994772,0.00002629415,0.00001780124,0.00005504282,0.0001947927,0.0002289528],"domain_scores_gemma":[0.999033,0.00009281563,0.00008540333,0.00001250055,0.0006385671,0.0001377431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006847235,0.0002074509,0.8654401,0.0002652756,0.0003384537,0.001351163,0.004216738,0.04978558,0.002198401,0.01451553,0.02496365,0.03603293],"study_design_scores_gemma":[0.00005009523,0.00004642194,0.9500344,0.00008755281,0.0001102476,0.00008967813,0.007199659,0.02028288,0.0007464172,0.001224675,0.0200322,0.00009564414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747473,0.001970835,0.0002711085,0.003332314,0.0000640474,0.00003370834,0.006648644,0.00003993828,0.01289212],"genre_scores_gemma":[0.9842358,0.001973373,0.0002415768,0.000233054,0.00001608177,0.000008493728,0.002052529,0.00001622899,0.01122282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08817766,"threshold_uncertainty_score":0.6397767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2300452487","doi":"10.1016/j.trd.2016.02.012","title":"Analyzing the sustainability performance of public transit","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science","keywords":"Sustainability; Public transport; Transit (satellite); Transport engineering; Business; Environmental planning; Environmental science; Environmental economics; Engineering; Economics; Biology; Ecology","authors":[{"name":"Patrick Miller","is_ca":true},{"name":"Alexandre G. de Barros","is_ca":true},{"name":"Lina Kattan","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03312567875087109,"gpt":0.2707637270026951,"spread":0.2376380482518241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009290011,0.0004530064,0.0002738073,0.0007143013,0.0003895803,0.001177898,0.0002727019,0.0005741661,0.002277414],"category_scores_gemma":[0.002062822,0.0001320458,0.0003566099,0.0009961943,0.0003138402,0.0008513096,0.0003070345,0.0002793792,0.0002550706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268655,"about_ca_system_score_gemma":0.001448352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03200808,"about_ca_topic_score_gemma":0.02938974,"domain_scores_codex":[0.9996532,0.00009387146,0.000009468329,0.00004430593,0.00008073887,0.0001184124],"domain_scores_gemma":[0.9991893,0.0003903526,0.0001018539,0.00005743549,0.0002151943,0.00004575712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001583451,0.0006326718,0.1797076,0.0001085356,0.0002378289,0.0002911251,0.0003488286,0.745497,0.02022814,0.006964905,0.001085183,0.04331468],"study_design_scores_gemma":[0.00004071113,0.001081575,0.1215652,0.00001663605,0.0001852238,0.00007826799,0.002054947,0.8475,0.02078349,0.004164787,0.002497433,0.00003163109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980379,0.0000220731,0.0005035033,0.0000333127,0.000001736457,0.000003727117,0.00004736238,0.000008606163,0.001341859],"genre_scores_gemma":[0.999241,0.00001653664,0.0001368525,0.000001715973,0.000001491979,0.000001659976,0.00007831359,0.000003508459,0.0005188789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03200808,"threshold_uncertainty_score":0.06364357,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096533615","doi":"10.1016/j.trd.2020.102599","title":"Potential of machine learning for prediction of traffic related air pollution","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Machine learning; Artificial neural network; Context (archaeology); Air quality index; Artificial intelligence; Computer science; Air pollution; Particulates; Black box; Particulate pollution; Meteorology; Geography","authors":[{"name":"An Wang","is_ca":true},{"name":"Junshi Xu","is_ca":true},{"name":"Ran Tu","is_ca":true},{"name":"Marc Saleh","is_ca":true},{"name":"Marianne Hatzopoulou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06156756906355659,"gpt":0.3065006866479429,"spread":0.2449331175843864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002872099,0.0008182239,0.0008194006,0.0008054406,0.0003404769,0.00126548,0.0005369643,0.001023065,0.0015237],"category_scores_gemma":[0.009353914,0.000211451,0.0006885618,0.0006417032,0.0003949357,0.001299285,0.0003897528,0.0009821549,0.0003825442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006296788,"about_ca_system_score_gemma":0.0008251152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008306165,"about_ca_topic_score_gemma":0.002993876,"domain_scores_codex":[0.9993488,0.0004075331,0.00002765997,0.0001078767,0.00006593786,0.0000421863],"domain_scores_gemma":[0.9914244,0.007608556,0.0001522844,0.0002217088,0.0005107483,0.00008215215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000362173,0.00026103,0.01297045,0.0001017424,0.0002211671,0.0000463483,0.00002152695,0.8510617,0.001319776,0.003671325,0.001702068,0.1282607],"study_design_scores_gemma":[0.000007455944,0.00003056092,0.0006622619,0.000006429381,0.00001402899,0.000004914524,0.000003844475,0.9952853,0.0002381548,0.003582444,0.0001605775,0.000003966051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5796385,0.01237914,0.3834991,0.006725113,0.0007421371,0.0001050623,0.001195237,0.001983267,0.01373237],"genre_scores_gemma":[0.9776062,0.000957541,0.01877806,0.00019222,0.0002285483,0.00003086936,0.0003036952,0.00002750009,0.001875299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008306165,"threshold_uncertainty_score":0.01651567,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Taylor Zhou","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true},{"name":"Heather L. MacLean","is_ca":true},{"name":"Jason M. Luk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01023389469378298,"gpt":0.241979353066899,"spread":0.231745458373116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002298468,0.000348247,0.0002279772,0.001001124,0.001231033,0.0009819532,0.000800508,0.0003259603,0.003236286],"category_scores_gemma":[0.000546565,0.0002765798,0.0006644634,0.001923359,0.0004362275,0.0004413289,0.0003493463,0.0003552042,0.0002046235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05025716,"about_ca_system_score_gemma":0.01770623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971815,"about_ca_topic_score_gemma":0.9984107,"domain_scores_codex":[0.9997247,0.00001425977,0.00001328366,0.0000309539,0.0001170764,0.00009980041],"domain_scores_gemma":[0.9994822,0.00004166373,0.00004678995,0.00001050184,0.0003346535,0.00008408155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001704856,0.0001615208,0.8347074,0.0004708504,0.000496046,0.001442544,0.001599276,0.09993926,0.006917776,0.007864824,0.01523622,0.02945933],"study_design_scores_gemma":[0.00002408526,0.00006230569,0.96709,0.00006015435,0.0001062593,0.0001126247,0.002832004,0.01972622,0.001351394,0.0003615848,0.008219361,0.00005398468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801055,0.0009191327,0.0002652948,0.0002025734,0.000007437409,0.00002828019,0.01176174,0.00002297969,0.00668704],"genre_scores_gemma":[0.9878853,0.0004514656,0.0001561287,0.00002237914,0.000001410406,0.000005453047,0.003924027,0.000006502481,0.007547277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05025716,"threshold_uncertainty_score":0.3646429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060668501","doi":"10.1016/j.trd.2006.01.001","title":"Investigating the sustainability of lignocellulose-derived fuels for light-duty vehicles","year":2006,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Gasoline; Greenhouse gas; Environmental science; Life-cycle assessment; Biofuel; Sustainability; Raw material; Fischer–Tropsch process; Fossil fuel; Propulsion; Waste management; Production (economics); Engineering; Chemistry; Economics","authors":[{"name":"Jesse S. Fleming","is_ca":true},{"name":"Shiva Habibi","is_ca":true},{"name":"Heather L. MacLean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02639994260794951,"gpt":0.2615539268461178,"spread":0.2351539842381683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004411595,0.0002261985,0.0001637207,0.0002986185,0.0002866602,0.000812261,0.0002734413,0.0004193016,0.0009885951],"category_scores_gemma":[0.0004559368,0.00008666254,0.000235511,0.0003778779,0.0001515396,0.0008056981,0.0002473019,0.0002671828,0.0001164725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009124985,"about_ca_system_score_gemma":0.0007228298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031922,"about_ca_topic_score_gemma":0.01331098,"domain_scores_codex":[0.9998707,0.00002429606,0.000004970159,0.00001974235,0.00004041877,0.00003992369],"domain_scores_gemma":[0.9998864,0.00004598417,0.0000142237,0.000004940126,0.00003860894,0.00000986346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001539204,0.0008910793,0.1102391,0.000559842,0.0002010909,0.001073083,0.0004133036,0.05676294,0.7393309,0.006615246,0.0003338489,0.0820403],"study_design_scores_gemma":[0.00006728143,0.002449625,0.06682543,0.00005349191,0.0002170555,0.0003166993,0.003290154,0.06036232,0.8536491,0.006155391,0.006576265,0.00003718562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984182,0.0003898648,0.0003640706,0.00003013974,0.000001720122,0.000005656062,0.00003659297,0.000001048224,0.000752753],"genre_scores_gemma":[0.9987479,0.0004129283,0.0002608011,0.000006857386,9.728782e-7,0.000002964214,0.00009045965,0.000001329489,0.0004757188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031922,"threshold_uncertainty_score":0.02051836,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"George Kamiya","is_ca":true},{"name":"Jonn Axsen","is_ca":true},{"name":"Curran Crawford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0282846697959402,"gpt":0.268500428208372,"spread":0.2402157584124318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425192,0.0009155889,0.0005197132,0.0004421782,0.0004011098,0.001388423,0.001382589,0.002239333,0.002387216],"category_scores_gemma":[0.0009523315,0.0005884068,0.001609413,0.0008407131,0.0007117002,0.001802768,0.0004685739,0.001030245,0.0003296325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921797,"about_ca_system_score_gemma":0.001173583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05802781,"about_ca_topic_score_gemma":0.0449671,"domain_scores_codex":[0.9998105,0.0000401665,0.000008507623,0.00005165434,0.00002853206,0.00006073984],"domain_scores_gemma":[0.9996901,0.0001442335,0.00003557803,0.0000193267,0.00008254016,0.00002815455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004299109,0.00003337432,0.001782642,0.00001957626,0.0000245837,0.00005025967,0.00001045397,0.9945202,0.001136263,0.001055477,0.0001163269,0.001207847],"study_design_scores_gemma":[0.00000580466,0.00002443562,0.001430324,0.000004760946,0.00002303018,0.00001172593,0.00002928379,0.9966525,0.0006518045,0.0007853034,0.0003714587,0.000009652044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289657,0.0009931311,0.04905119,0.00075103,0.0001582477,0.00004756825,0.001635929,0.0001674035,0.01822976],"genre_scores_gemma":[0.9918981,0.0002619116,0.00166932,0.000032922,0.00002019106,0.00002719185,0.0004168796,0.00003463759,0.005638915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05802781,"threshold_uncertainty_score":0.1153801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119467933","doi":"10.1016/j.trd.2007.07.002","title":"Diet and body size of North American mammal road mortalities","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Omnivore; Mammal; Herbivore; Ecology; Biology; Geography; Sampling (signal processing); Zoology; Demography; Predation; Sociology","authors":[{"name":"Adam T. Ford","is_ca":true},{"name":"Lenore Fahrig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02528960113329312,"gpt":0.2852161225795424,"spread":0.2599265214462493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002391356,0.0001314492,0.0001211504,0.0004341351,0.0002921094,0.0002951605,0.0001512733,0.0002627887,0.002358256],"category_scores_gemma":[0.001020522,0.0002525688,0.0002106516,0.0002539217,0.0002457057,0.0003813951,0.0002075482,0.0002949568,0.0002727084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364176,"about_ca_system_score_gemma":0.0001054493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237622,"about_ca_topic_score_gemma":0.03712503,"domain_scores_codex":[0.9999231,0.00001814285,0.000005418213,0.00002045545,0.00001525232,0.00001768544],"domain_scores_gemma":[0.9992982,0.0001692919,0.0002639436,0.00004446894,0.00008045874,0.000143668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004043758,0.00008129377,0.99663,0.000004596698,0.00004898386,0.00004675339,0.0001536783,0.00004591819,0.0009313326,0.00001658501,0.0001195012,0.001516903],"study_design_scores_gemma":[9.351692e-7,0.0000193433,0.9998165,4.632391e-7,0.000004616935,0.00002498552,0.00005093648,0.0000289797,0.00001379396,0.000003234879,0.000035754,5.428286e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995887,0.00004722136,0.000008339215,0.00001662359,0.000001931491,7.989084e-7,0.00008759227,8.332374e-7,0.0002481311],"genre_scores_gemma":[0.9991221,0.00004470801,0.00001807544,0.00001892968,0.000005227496,0.000002893052,0.0001634513,0.000001660667,0.0006229588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9876238,"threshold_uncertainty_score":0.02460837,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Christine Kormos","is_ca":true},{"name":"Jonn Axsen","is_ca":true},{"name":"Zoe Long","is_ca":true},{"name":"Suzanne Goldberg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02296807783544219,"gpt":0.2483429191436726,"spread":0.2253748413082304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004304868,0.0007178714,0.001312546,0.0003943613,0.002776364,0.003898983,0.002318748,0.002162159,0.01176587],"category_scores_gemma":[0.01179201,0.0005807489,0.0009449431,0.001186269,0.002249471,0.001714667,0.001020299,0.002550963,0.000732689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03430112,"about_ca_system_score_gemma":0.02903403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783061,"about_ca_topic_score_gemma":0.983852,"domain_scores_codex":[0.9979335,0.0006664494,0.00008536589,0.0003349306,0.0003552536,0.0006244392],"domain_scores_gemma":[0.9838864,0.01089242,0.001378171,0.001006874,0.001724522,0.001111691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0352081,0.01418296,0.613141,0.001038508,0.001228468,0.001168361,0.01648618,0.1195266,0.01274156,0.09818321,0.0313715,0.05572358],"study_design_scores_gemma":[0.005415132,0.002982597,0.7207415,0.0002488015,0.0008983006,0.0001269161,0.02121583,0.1871944,0.006089271,0.02575655,0.02851668,0.0008140366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911363,0.0001880552,0.0008362018,0.001170101,0.0000148005,0.0001535553,0.002775288,0.00002846623,0.003697357],"genre_scores_gemma":[0.9914619,0.0001456337,0.0006590028,0.000167948,0.000009005241,0.00007531451,0.001983339,0.00001179543,0.005486175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03430112,"threshold_uncertainty_score":0.2488732,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Jonn Axsen","is_ca":true},{"name":"Kenneth S Kurani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01872151421943014,"gpt":0.237140701437443,"spread":0.2184191872180129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434192,0.0003131432,0.0005746166,0.0004036372,0.001457593,0.002604097,0.0009158699,0.0055238,0.02781482],"category_scores_gemma":[0.01183996,0.0002310119,0.0005179168,0.000334891,0.001360204,0.007512568,0.0008030331,0.003049448,0.008621794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009196522,"about_ca_system_score_gemma":0.002023987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007145914,"about_ca_topic_score_gemma":0.01256785,"domain_scores_codex":[0.9992505,0.0002390349,0.00004864461,0.00007950589,0.0001855834,0.0001967388],"domain_scores_gemma":[0.9970974,0.001093992,0.0003034811,0.0001082622,0.000672452,0.000724519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004261693,0.001057129,0.04283115,0.0007874771,0.0001286846,0.004124415,0.001320415,0.000275288,0.0006719128,0.01293441,0.484958,0.450485],"study_design_scores_gemma":[0.0001839457,0.000552091,0.03338973,0.00593242,0.0003271379,0.02226503,0.03751408,0.001004489,0.002184218,0.07318969,0.8232377,0.0002193837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04511638,0.05985719,0.002974934,0.7682924,0.008117422,0.00006808509,0.0004126664,0.0002669091,0.114894],"genre_scores_gemma":[0.6283746,0.1384022,0.003699188,0.1396507,0.01557905,0.0001452642,0.0006207094,0.0001767956,0.07335137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02781482,"threshold_uncertainty_score":0.09304976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989431769","doi":"10.1016/j.trd.2019.10.022","title":"Assessing road transport sustainability by combining environmental impacts and safety concerns","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Benchmarking; Sustainability; Sustainable development; Environmental impact assessment; Sustainable transport; Data envelopment analysis; Environmental economics; Road transport; Environmental resource management; Business; Transport engineering; Environmental planning; Environmental science; Engineering; Economics","authors":[{"name":"Derek Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07536753236536516,"gpt":0.3965061991255427,"spread":0.3211386667601776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003617326,0.001259496,0.0009569105,0.005140418,0.0004292961,0.002982628,0.0005491959,0.0008819381,0.001322152],"category_scores_gemma":[0.006567584,0.0005095886,0.001548814,0.00326954,0.0006213285,0.002482222,0.001543143,0.0007193283,0.0001646859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783295,"about_ca_system_score_gemma":0.001900026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006302319,"about_ca_topic_score_gemma":0.008675367,"domain_scores_codex":[0.9977048,0.0009121015,0.0001392784,0.0002226979,0.0008356618,0.0001854861],"domain_scores_gemma":[0.9967231,0.002192494,0.0003624855,0.0001999509,0.000457817,0.00006415852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000133713,0.0004807211,0.08862398,0.0002373459,0.0008134902,0.0001260685,0.0001340533,0.7893945,0.008518335,0.02591113,0.000396293,0.08523035],"study_design_scores_gemma":[0.00001462745,0.0002575322,0.02810584,0.00004517803,0.0003323275,0.00009634101,0.0005060902,0.9349384,0.007392762,0.02600048,0.002265187,0.00004522334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.750668,0.0004487629,0.2219669,0.0002331397,0.00001696263,0.0002742764,0.000902953,0.000117884,0.02537107],"genre_scores_gemma":[0.9667514,0.0001968551,0.03137948,0.00001929019,0.000008383846,0.0001050873,0.0003637471,0.00003010867,0.001145651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006302319,"threshold_uncertainty_score":0.01913053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2758467382","doi":"10.1016/j.trd.2017.09.001","title":"Speed, travel time and delay for intersections and road segments in the Montreal network using cyclist Smartphone GPS data","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Intersection (aeronautics); Transport engineering; Global Positioning System; Computer science; Work (physics); Routing (electronic design automation); Geometric design; Roundabout; Simulation; Engineering; Telecommunications","authors":[{"name":"Jillian Strauss","is_ca":true},{"name":"Luis Miranda-Moreno","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1368174602756169,"gpt":0.3821968603419633,"spread":0.2453794000663464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572387,0.00050718,0.000232223,0.001968964,0.0005659269,0.0009596194,0.0007187558,0.0003593295,0.005298632],"category_scores_gemma":[0.001689033,0.0002617113,0.0006524893,0.003592239,0.0002573154,0.0006442632,0.0004930217,0.0004620974,0.0008751475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004589844,"about_ca_system_score_gemma":0.002752747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9575419,"about_ca_topic_score_gemma":0.9662325,"domain_scores_codex":[0.9997439,0.00003518579,0.00001693783,0.0000785279,0.00005519687,0.00007031567],"domain_scores_gemma":[0.9993538,0.00008735407,0.0001254712,0.00003095086,0.0002798435,0.0001225513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002668667,0.00009374713,0.973573,0.00005624482,0.0002543567,0.0000951098,0.0003046098,0.007904283,0.0004624034,0.0002571842,0.007371382,0.009360723],"study_design_scores_gemma":[0.000009062062,0.0000310695,0.9923354,0.00001387885,0.00004948739,0.0000232124,0.0004237241,0.005471625,0.0001060316,0.00002334876,0.00149219,0.00002096046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730393,0.0001856925,0.0003083595,0.00008057075,0.00001246455,0.00003685728,0.02356743,0.0001099668,0.002659423],"genre_scores_gemma":[0.9815592,0.0001532303,0.0005425005,0.00001381698,0.000006367807,0.00003758108,0.01535669,0.00001650864,0.002314099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04245812,"threshold_uncertainty_score":0.08541626,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Xizhao Zhang","is_ca":false},{"name":"Zhenhong Lin","is_ca":false},{"name":"Curran Crawford","is_ca":true},{"name":"Shunxi Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0162168914433377,"gpt":0.2711013851267031,"spread":0.2548844936833654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003963498,0.0004315846,0.0002362477,0.001984147,0.0003993802,0.0009863535,0.0004674898,0.0004145423,0.002064732],"category_scores_gemma":[0.0005139538,0.0002234852,0.0009627664,0.002248297,0.0003359931,0.0008477766,0.0004921596,0.0002483397,0.000159301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003716609,"about_ca_system_score_gemma":0.002071681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09578069,"about_ca_topic_score_gemma":0.1412935,"domain_scores_codex":[0.999711,0.0000402381,0.0000190228,0.00003535857,0.0001029187,0.00009135273],"domain_scores_gemma":[0.9997243,0.00005163335,0.00005197483,0.0000169814,0.0001095047,0.00004558239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001822503,0.0003341897,0.767929,0.0005782394,0.00089102,0.00176535,0.0005721048,0.1431181,0.009481417,0.01527399,0.005332323,0.05290159],"study_design_scores_gemma":[0.00003239669,0.0001442312,0.9654798,0.00002113951,0.0001701127,0.00009684083,0.0007639481,0.02666806,0.001369981,0.0007646963,0.004447838,0.00004085615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938635,0.0003132459,0.0002885971,0.0001236729,0.00000933062,0.00001549192,0.001358969,0.00001703237,0.004010194],"genre_scores_gemma":[0.9967782,0.0001560683,0.0001012704,0.00001166986,0.000003565938,0.000009402856,0.001147328,0.000002692273,0.001789913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09578069,"threshold_uncertainty_score":0.1904464,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Leon Raykin","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true},{"name":"Heather L. MacLean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02086678887091785,"gpt":0.2407814123955946,"spread":0.2199146235246767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002337885,0.0002418557,0.0002147622,0.0003942651,0.0003429228,0.0008046298,0.0003632701,0.0003989394,0.004483415],"category_scores_gemma":[0.001168499,0.0002078397,0.0006521555,0.0005262059,0.000187827,0.0005226324,0.0004262977,0.0002823575,0.0005518947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374895,"about_ca_system_score_gemma":0.0003772808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691182,"about_ca_topic_score_gemma":0.04848677,"domain_scores_codex":[0.9997832,0.00004196976,0.00001389014,0.00003584411,0.00002936087,0.00009574403],"domain_scores_gemma":[0.9989139,0.0004585749,0.0001499883,0.00003935653,0.0002521324,0.0001860416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004771736,0.001011055,0.9578885,0.00005890998,0.0004246384,0.0005211468,0.0003957061,0.01041553,0.01156566,0.0002388725,0.0005708159,0.01213743],"study_design_scores_gemma":[0.00001562579,0.0004102859,0.9912208,0.000006340904,0.00008188202,0.00006186423,0.001040415,0.004921111,0.001820836,0.0001202591,0.0002869959,0.00001352488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994356,0.000008388632,0.00002541428,0.00001115271,0.000001981745,0.000002102772,0.0001714585,0.000002253455,0.0003415814],"genre_scores_gemma":[0.9991855,0.00001503239,0.00001942331,0.000005139695,0.000001254262,0.000002444207,0.0002528806,0.000002920244,0.000515416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691182,"threshold_uncertainty_score":0.05351037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123970377","doi":"10.1016/j.trd.2020.102688","title":"On the design of environmentally sustainable aircraft for urban air mobility","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Universidade de Lisboa; University of Victoria","keywords":"Aviation; Renewable energy; Ecological footprint; Greenhouse gas; Sustainable transport; Electricity; Environmental science; Fossil fuel; Battery electric vehicle; Propulsion; Battery (electricity); Automotive engineering; Engineering; Sustainable development; Sustainability; Aerospace engineering; Waste management; Power (physics)","authors":[{"name":"Frederico Afonso","is_ca":false},{"name":"Ana F. Ferreira","is_ca":false},{"name":"Inês Ribeiro","is_ca":false},{"name":"Fernando Lau","is_ca":false},{"name":"Afzal Suleman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04048352433370669,"gpt":0.2759922699932092,"spread":0.2355087456595026,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006192148,0.0006528731,0.0003918036,0.0004691987,0.0006106578,0.001148585,0.0005794606,0.001007848,0.004127899],"category_scores_gemma":[0.0009842906,0.0002961544,0.0004139289,0.0004050709,0.0007984567,0.0009428185,0.0008921514,0.0005125561,0.0005093766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857137,"about_ca_system_score_gemma":0.001069959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337751,"about_ca_topic_score_gemma":0.006794091,"domain_scores_codex":[0.9996668,0.0001148754,0.00001095126,0.00002792703,0.0001333085,0.0000460792],"domain_scores_gemma":[0.9997976,0.00008948598,0.00002210607,0.0000116042,0.00006618033,0.00001312237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003470714,0.0000357734,0.0005222483,0.0001870148,0.00001880059,0.0001569293,0.0001329933,0.8034667,0.007947952,0.1427712,0.002753756,0.04197198],"study_design_scores_gemma":[0.00002176509,0.000163535,0.0009196287,0.0001314288,0.00003193268,0.0001141202,0.0004751641,0.79023,0.005070249,0.1443899,0.05841688,0.00003544563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07740965,0.004722496,0.7818501,0.003292711,0.0003714343,0.000163681,0.0001719657,0.0001184053,0.1318996],"genre_scores_gemma":[0.8048041,0.007629566,0.1548761,0.0004327869,0.0001257328,0.0001965294,0.0001810436,0.0001342946,0.03161974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004127899,"threshold_uncertainty_score":0.01380914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092928354","doi":"10.1016/j.trd.2020.102576","title":"Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Fuel efficiency; Computer science; Support vector machine; Artificial neural network; Categorical variable; Usability; Machine learning; Artificial intelligence; Estimation; Automotive engineering; Engineering","authors":[{"name":"Ehsan Moradi","is_ca":true},{"name":"Luis Miranda-Moreno","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1262303191769668,"gpt":0.3125266304904852,"spread":0.1862963113135184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004852352,0.0008515068,0.0007871628,0.0006635633,0.0002624469,0.0006711832,0.0009877984,0.000663895,0.000667422],"category_scores_gemma":[0.00169174,0.000474089,0.0008475871,0.0006283327,0.0002732023,0.001054505,0.0005237492,0.0009855194,0.0003116624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077764,"about_ca_system_score_gemma":0.0005126714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039834,"about_ca_topic_score_gemma":0.01033452,"domain_scores_codex":[0.9996783,0.00005168161,0.00002057023,0.0001274558,0.00008064554,0.00004133949],"domain_scores_gemma":[0.999513,0.0002312203,0.00005782657,0.000069421,0.000115136,0.00001349341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009614234,0.0001221798,0.004570661,0.00003779987,0.0000786618,0.00006058292,0.00002525163,0.9514994,0.00266052,0.0008272376,0.0002894952,0.03973217],"study_design_scores_gemma":[9.744662e-7,0.000008651246,0.0005735575,0.000001340703,0.000004786839,0.000004643588,0.000001305956,0.9986346,0.0005171518,0.0002056204,0.0000447923,0.000002518199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.293985,0.0003561284,0.7022476,0.00009900528,0.00008866901,0.00005525272,0.0003730987,0.0007653075,0.002029989],"genre_scores_gemma":[0.977406,0.0000922119,0.02140032,0.00001196203,0.00001248826,0.00003038229,0.0003357342,0.00001514953,0.0006958502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01039834,"threshold_uncertainty_score":0.0206756,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016513563","doi":"10.1016/j.trd.2020.102593","title":"Greenhouse gas emission prediction on road network using deep sequence learning","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Government of Ontario","keywords":"Greenhouse gas; Autoregressive integrated moving average; Mean squared error; Autoregressive model; Cluster analysis; Intelligent transportation system; Environmental science; Moving average; Computer science; Econometrics; Statistics; Meteorology; Engineering; Time series; Artificial intelligence; Mathematics; Machine learning; Transport engineering; Geography","authors":[{"name":"Lama Alfaseeh","is_ca":true},{"name":"Ran Tu","is_ca":true},{"name":"Bilal Farooq","is_ca":true},{"name":"Marianne Hatzopoulou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.063879090162475,"gpt":0.2764884036902678,"spread":0.2126093135277928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001838377,0.000717856,0.0005187747,0.000522832,0.0001794763,0.0002971403,0.0006125981,0.000628547,0.001225818],"category_scores_gemma":[0.0005177188,0.0002673021,0.0004349059,0.0004660857,0.000186834,0.0007354981,0.0003530567,0.0008094855,0.0003055178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939458,"about_ca_system_score_gemma":0.0005178314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439871,"about_ca_topic_score_gemma":0.02305597,"domain_scores_codex":[0.9999228,0.00001045091,0.00000248121,0.00003060301,0.00001095905,0.00002275713],"domain_scores_gemma":[0.9998223,0.00007724862,0.00001947747,0.00001509807,0.00004901496,0.00001696989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008590887,0.0001022097,0.00399992,0.00002397436,0.00003317937,0.00006895327,0.000007757131,0.9605854,0.001741166,0.0007582158,0.001029199,0.03156413],"study_design_scores_gemma":[8.762974e-7,0.000003555177,0.0002152527,5.699767e-7,0.00000148924,0.000001441958,0.000001186622,0.9992918,0.0001767009,0.0002774016,0.00002879228,8.119125e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7683336,0.0008438883,0.2219552,0.0004810872,0.0001896749,0.00003729234,0.001932575,0.001415616,0.004811016],"genre_scores_gemma":[0.9904633,0.0001069341,0.006744996,0.00003362677,0.00002114755,0.00001329946,0.001006268,0.00001544018,0.001595021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02439871,"threshold_uncertainty_score":0.04851341,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Feng Wei","is_ca":false},{"name":"W. David Walls","is_ca":true},{"name":"Xiaoli Zheng","is_ca":false},{"name":"Guodong Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03078147670184128,"gpt":0.2785000049422577,"spread":0.2477185282404164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195294,0.0008470377,0.0005102066,0.001263195,0.0009484423,0.002226419,0.0008644081,0.001019233,0.001987233],"category_scores_gemma":[0.002264484,0.0002914162,0.0008347684,0.001976123,0.001275561,0.001056991,0.0008206126,0.0005797098,0.00009980879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009195406,"about_ca_system_score_gemma":0.004199539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4661697,"about_ca_topic_score_gemma":0.4747308,"domain_scores_codex":[0.9993617,0.0002359796,0.00001910739,0.00006213041,0.000086947,0.0002342312],"domain_scores_gemma":[0.9985492,0.0007924151,0.0001031048,0.00006168096,0.0002868651,0.0002067544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001674102,0.001242158,0.2846843,0.0003534118,0.0005281111,0.008983336,0.001675926,0.6632523,0.004597891,0.00981478,0.001722901,0.02147082],"study_design_scores_gemma":[0.0003368757,0.001552547,0.364254,0.00008248767,0.0009797041,0.0003782672,0.02281254,0.5963675,0.005228525,0.00427192,0.003537277,0.000198335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977448,0.00007426625,0.0001745671,0.00008005375,0.000003433005,0.00001512279,0.0001282677,0.000005848053,0.001773671],"genre_scores_gemma":[0.9991432,0.00006950355,0.0001371731,0.000007365929,0.000001717855,0.000004368787,0.0001029195,0.000002386289,0.0005313429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4661697,"threshold_uncertainty_score":0.9269125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4364375297","doi":"10.1016/j.trd.2023.103731","title":"Effects of Arctic commercial shipping on environments and communities: context, governance, priorities","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Arctic; Indigenous; Corporate governance; Context (archaeology); The arctic; Government (linguistics); Business; Environmental planning; Environmental resource management; Geography; Environmental science; Oceanography; Ecology; Finance","authors":[{"name":"Henry P. Huntington","is_ca":false},{"name":"Julia Olsen","is_ca":false},{"name":"Eduard Zdor","is_ca":false},{"name":"Andrei Zagorski","is_ca":false},{"name":"Hyoung-Chul Shin","is_ca":false},{"name":"Olga Romanenko","is_ca":false},{"name":"Bjørn P. Kaltenborn","is_ca":false},{"name":"Jackie Dawson","is_ca":true},{"name":"Jeremy Davies","is_ca":false},{"name":"Erin Abou-Abbsi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06642845400720596,"gpt":0.3383183816903291,"spread":0.2718899276831231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001483403,0.0001174266,0.0001755208,0.0006622558,0.002723882,0.003410266,0.0003601819,0.0005015623,0.002020202],"category_scores_gemma":[0.001455644,0.00007880526,0.0001216232,0.001002894,0.004560705,0.001280897,0.002758245,0.0006684411,0.0000595304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004008496,"about_ca_system_score_gemma":0.006777027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06992678,"about_ca_topic_score_gemma":0.1301229,"domain_scores_codex":[0.9987961,0.0006937766,0.00002313445,0.0000673133,0.00008921637,0.000330475],"domain_scores_gemma":[0.9987645,0.0003599789,0.0001890222,0.00004068799,0.0001939339,0.0004518403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001580303,0.0002778387,0.2630074,0.000670866,0.0001180016,0.003299097,0.1233799,0.004841715,0.001956858,0.4931614,0.009431626,0.09969733],"study_design_scores_gemma":[0.00001033612,0.0001507573,0.3738495,0.0006414696,0.00005848492,0.0004579028,0.4775919,0.002044108,0.0005245453,0.06353146,0.08109029,0.00004928124],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892652,0.00288122,0.001051621,0.01821751,0.00009699907,0.00002471864,0.0001031524,0.00001042698,0.08496233],"genre_scores_gemma":[0.9979734,0.0009966654,0.000141061,0.000178231,0.00001368541,0.000005820496,0.00001206185,0.000001156419,0.0006779645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06992678,"threshold_uncertainty_score":0.1390396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108321046","doi":"10.1016/j.trd.2020.102644","title":"What drives ports around the world to adopt air emissions abatement measures?","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Greenhouse gas; Environmental science; Air pollution; Natural resource economics; Environmental engineering; Business; Engineering; Waste management; Economics; Ecology","authors":[{"name":"Henrik Sornn‐Friese","is_ca":false},{"name":"René Taudal Poulsen","is_ca":false},{"name":"Agnieszka Nowińska","is_ca":false},{"name":"Peter W. de Langen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05398418785459737,"gpt":0.2996787436500308,"spread":0.2456945557954335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092527,0.0001800728,0.0002288865,0.000941233,0.0004572353,0.002881487,0.0003644738,0.000554996,0.003663818],"category_scores_gemma":[0.008324001,0.0002356477,0.0004090789,0.001890143,0.0007694272,0.002035386,0.0008996915,0.001066286,0.0004420832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315986,"about_ca_system_score_gemma":0.0006266246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077408,"about_ca_topic_score_gemma":0.01482521,"domain_scores_codex":[0.9991861,0.0002538511,0.00006580576,0.0001451045,0.0001765587,0.0001727025],"domain_scores_gemma":[0.9929388,0.001831553,0.003716602,0.0004287401,0.0006590797,0.0004252083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003239783,0.0001051094,0.9830894,0.00003354481,0.00006347767,0.0001789749,0.001198286,0.0003351524,0.0002394594,0.0008876945,0.0005885651,0.01324789],"study_design_scores_gemma":[0.000004068441,0.00003571466,0.9847557,0.00004393142,0.00002622014,0.0002182108,0.01027793,0.0008962048,0.0002057624,0.0005193526,0.003000392,0.00001645189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991884,0.0002019514,0.0004206408,0.001230396,0.00001833926,0.00001254728,0.0001932741,0.00000883892,0.006029928],"genre_scores_gemma":[0.9988801,0.0003055136,0.000188297,0.0001220145,0.00001430812,0.000005334687,0.000119967,0.000006793846,0.0003577051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077408,"threshold_uncertainty_score":0.02142274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3162712577","doi":"10.1016/j.trd.2021.102849","title":"Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University; McGill University; University of Toronto; The Scarborough Hospital","funders":"","keywords":"Transit (satellite); Public transport; Equity (law); Car ownership; Business; Low income; Social equality; Nexus (standard); Mode choice; Demographic economics; Transport engineering; Economics; Engineering; Political science","authors":[{"name":"Elnaz Yousefzadeh Barri","is_ca":false},{"name":"Steven Farber","is_ca":true},{"name":"Anna Kramer","is_ca":true},{"name":"Hadi Jahanshahi","is_ca":true},{"name":"Jeff Allen","is_ca":true},{"name":"Eda Beyazıt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07994208264900798,"gpt":0.333636634131297,"spread":0.253694551482289,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508103,0.000257267,0.0003375149,0.0005565205,0.00133433,0.001613862,0.0008241059,0.0006243069,0.004438752],"category_scores_gemma":[0.003445924,0.0002840125,0.0008935124,0.00156417,0.000847169,0.0007808015,0.001390972,0.000799869,0.0002514259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007288902,"about_ca_system_score_gemma":0.005914727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9055181,"about_ca_topic_score_gemma":0.9618426,"domain_scores_codex":[0.999455,0.0001161434,0.00003288091,0.00008650947,0.00006532519,0.0002441307],"domain_scores_gemma":[0.996723,0.0008337252,0.0008759437,0.0001454889,0.0004443213,0.0009776135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008296428,0.00003925546,0.9952497,0.00001544624,0.00008262389,0.00009805572,0.002130927,0.000221862,0.0001255829,0.0004029861,0.0002607595,0.001289806],"study_design_scores_gemma":[0.000002550122,0.00001772595,0.9942955,0.00001608097,0.00005532689,0.00001571624,0.004770859,0.0004527134,0.00003318295,0.00006088286,0.0002745607,0.000004979111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982048,0.0001982565,0.00004749489,0.0002811371,0.000004343548,0.000004593874,0.0003697765,0.000002125913,0.0008874038],"genre_scores_gemma":[0.9994741,0.00006807187,0.00001995582,0.0000105461,0.000002222636,0.000002117668,0.00009117392,9.914075e-7,0.0003307791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09448195,"threshold_uncertainty_score":0.1900767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2508280009","doi":"10.1016/j.trd.2016.08.026","title":"Communicating transportation carbon dioxide emissions information: Does gender impact behavioral response?","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Climate change; Context (archaeology); Psychology; Action (physics); Affect (linguistics); Transtheoretical model; Climate change mitigation; Social psychology; Behavior change; Geography; Ecology","authors":[{"name":"E. Owen D. Waygood","is_ca":true},{"name":"Erel Avineri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04368694435577373,"gpt":0.3456902459332295,"spread":0.3020033015774558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004567603,0.0002898622,0.0003357473,0.0004519687,0.0009107465,0.001966854,0.0006636487,0.001824477,0.01581323],"category_scores_gemma":[0.02644675,0.0004089013,0.0005281211,0.0004234673,0.0008908639,0.001681761,0.00093382,0.001490856,0.001580783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132643,"about_ca_system_score_gemma":0.001347554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136284,"about_ca_topic_score_gemma":0.01332961,"domain_scores_codex":[0.9969881,0.001581731,0.0001025044,0.000291691,0.0004418207,0.0005942671],"domain_scores_gemma":[0.9816404,0.01267076,0.002372506,0.0005344754,0.0013968,0.001385126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004567552,0.007359739,0.8580996,0.0004834538,0.0006319702,0.0007749743,0.03356614,0.0007291535,0.008326418,0.002939185,0.006881562,0.07564018],"study_design_scores_gemma":[0.0001863799,0.001094937,0.9552357,0.0003123774,0.0003121716,0.0002010066,0.03070601,0.001037595,0.001982432,0.001926423,0.006939119,0.00006596713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802269,0.0004139372,0.0002798417,0.00479253,0.0002281644,0.00004944916,0.0002989529,0.000007210509,0.01370297],"genre_scores_gemma":[0.9949849,0.0003853834,0.0001975311,0.001257414,0.00006712087,0.00005352342,0.0001317721,0.00001692515,0.002905479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581323,"threshold_uncertainty_score":0.05290055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005168341","doi":"10.1016/j.trd.2014.05.001","title":"The application of three methods to measure the statistical association between different social groups and the concentration of air pollutants in Montreal: A case of environmental equity","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Pollutant; Population; Air pollution; Geography; Equity (law); Environmental science; Proxy (statistics); Air pollutants; Environmental pollution; Environmental health; Environmental protection; Socioeconomics; Statistics; Mathematics; Ecology; Economics; Medicine; Biology; Political science","authors":[{"name":"Mathieu Carrier","is_ca":true},{"name":"Philippe Apparicio","is_ca":true},{"name":"Anne‐Marie Séguin","is_ca":true},{"name":"Dan L. Crouse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08109288383872362,"gpt":0.3913270426155128,"spread":0.3102341587767892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02027457,0.0008748277,0.0006040769,0.005046573,0.001500065,0.002430738,0.00225779,0.001743056,0.001532825],"category_scores_gemma":[0.06074814,0.0002368915,0.001915815,0.004835721,0.003341131,0.001188672,0.002045982,0.001434379,0.000113758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005229127,"about_ca_system_score_gemma":0.006173086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3642271,"about_ca_topic_score_gemma":0.3234521,"domain_scores_codex":[0.9859262,0.009583315,0.0003970017,0.0009471386,0.002235971,0.0009104522],"domain_scores_gemma":[0.9608858,0.02733742,0.004595438,0.002267847,0.004071029,0.0008424077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004261082,0.0002446222,0.8742862,0.0001266893,0.001289261,0.0002630522,0.002697201,0.00837399,0.001114247,0.03122938,0.001163523,0.07878574],"study_design_scores_gemma":[0.0001544109,0.0007088219,0.9008362,0.0000611742,0.0006053955,0.0003280849,0.003724016,0.06195591,0.002866156,0.02427401,0.004210063,0.0002758872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218948,0.001129768,0.1569712,0.003019288,0.0001508753,0.0008017915,0.002383743,0.0002129163,0.0134357],"genre_scores_gemma":[0.9545686,0.0001440561,0.04240221,0.0001583011,0.0000367277,0.0003781786,0.0003490159,0.00001623796,0.001946729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6357729,"threshold_uncertainty_score":0.7242141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094281612","doi":"10.1016/j.trd.2012.08.003","title":"Integrated model for microsimulating vehicle emissions, pollutant dispersion and population exposure","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Pollutant; Environmental science; Truck; Population; NOx; Environmental engineering; Diesel fuel; Heavy duty; Dispersion (optics); Atmospheric dispersion modeling; Atmospheric sciences; Air pollution; Waste management; Engineering; Automotive engineering; Environmental health; Chemistry","authors":[{"name":"Glareh Amirjamshidi","is_ca":true},{"name":"Toka S. Mostafa","is_ca":true},{"name":"Aarshabh Misra","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04097631576984316,"gpt":0.2800710304034775,"spread":0.2390947146336343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006497431,0.000944701,0.001600045,0.0006979469,0.0006011067,0.001109528,0.002252049,0.002210301,0.005011725],"category_scores_gemma":[0.002020596,0.0008281569,0.001365845,0.0008770791,0.0007520122,0.001202391,0.001559929,0.001477327,0.0006828041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835441,"about_ca_system_score_gemma":0.002570213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07066172,"about_ca_topic_score_gemma":0.03346626,"domain_scores_codex":[0.9995189,0.00009836378,0.00002479958,0.0001460184,0.0001045271,0.0001074977],"domain_scores_gemma":[0.9992664,0.0003229605,0.0001019309,0.00004253237,0.0002097515,0.00005635585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001128792,0.00001881264,0.0003138309,0.00000671786,0.00001920921,0.00001257885,0.000009354966,0.9971507,0.0001673225,0.001262191,0.0001012502,0.0009267668],"study_design_scores_gemma":[0.000005211396,0.000008447862,0.0001172106,0.000001119151,0.000008601249,0.000002641549,0.000004163896,0.9991952,0.00006284607,0.0004321982,0.0001594052,0.000002927946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1906027,0.0005061887,0.7828996,0.0006857362,0.0002979845,0.0001406409,0.002479557,0.0009270454,0.02146056],"genre_scores_gemma":[0.9512797,0.000279731,0.02162318,0.0001661404,0.00008391187,0.0003900646,0.001151314,0.0001417314,0.02488424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07066172,"threshold_uncertainty_score":0.1405008,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mandate; Incentive; Subsidy; Market share; Business; Government (linguistics); Economics; Finance; Microeconomics","authors":[{"name":"Jonn Axsen","is_ca":true},{"name":"Michael Wolinetz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01578532771506701,"gpt":0.2337293992317125,"spread":0.2179440715166455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141723,0.0009362922,0.0007691918,0.001198407,0.001888817,0.002144785,0.002907461,0.001907691,0.005447055],"category_scores_gemma":[0.003566189,0.0006824216,0.001340547,0.001698046,0.001557028,0.001057742,0.001137895,0.001696879,0.000330324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04339182,"about_ca_system_score_gemma":0.02715402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848075,"about_ca_topic_score_gemma":0.98116,"domain_scores_codex":[0.9992591,0.0001319714,0.00001526593,0.0001052256,0.00008008775,0.0004084753],"domain_scores_gemma":[0.9976481,0.0009086148,0.000216466,0.00008531561,0.0007319634,0.0004095793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001976145,0.0002900233,0.03243003,0.00006038707,0.00007681167,0.0001838723,0.0002200369,0.9500385,0.000393519,0.009302521,0.003295579,0.003511118],"study_design_scores_gemma":[0.00009894164,0.00008518947,0.0124678,0.00002608728,0.00006452221,0.00001780879,0.000755257,0.9820372,0.0001922258,0.001357943,0.002850007,0.00004711375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720448,0.0003562533,0.002305565,0.001497454,0.00002395507,0.0001391312,0.003271865,0.00007417244,0.02028675],"genre_scores_gemma":[0.9895522,0.0003334471,0.002151764,0.0001623719,0.00000656395,0.00006749626,0.001332936,0.00002615059,0.006367079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04339182,"threshold_uncertainty_score":0.3148312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996785817","doi":"10.1016/j.trd.2004.11.003","title":"Carbon monoxide emissions from passenger vehicles: predictive mapping with an application to Hamilton, Canada","year":2005,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"Alexander S. Onassis Public Benefit Foundation; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Metropolitan area; Air pollution; Environmental science; Transport engineering; Pollutant; Land use; Population; Computer science; Environmental engineering; Civil engineering; Geography; Engineering","authors":[{"name":"Dimitris Potoglou","is_ca":true},{"name":"Pavlos Kanaroglou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04037489860797097,"gpt":0.2957524913638527,"spread":0.2553775927558817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660471,0.0005795129,0.0003622253,0.0006735467,0.001677304,0.001004708,0.0009794169,0.0004837589,0.001140193],"category_scores_gemma":[0.000786509,0.0003224033,0.000508312,0.002334189,0.0003436957,0.0003661395,0.000291412,0.0003303013,0.0001267183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008584677,"about_ca_system_score_gemma":0.01200471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924837,"about_ca_topic_score_gemma":0.9905715,"domain_scores_codex":[0.9998873,0.00001331896,0.00000333811,0.00002781033,0.00003970511,0.00002849999],"domain_scores_gemma":[0.9997745,0.00006127348,0.00001117111,0.00001130529,0.0001264486,0.00001531389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003735936,0.0002504605,0.07706486,0.0001113523,0.00009554823,0.0005111503,0.0004236263,0.8284152,0.004260569,0.001807942,0.005427821,0.08125788],"study_design_scores_gemma":[0.00004118173,0.00002900153,0.04189428,0.000009979609,0.00003185591,0.0000270487,0.0003974484,0.9534884,0.001970511,0.0004264916,0.001643446,0.00004036161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791069,0.0002794767,0.01110506,0.0002240309,0.00001629712,0.0001345416,0.002211143,0.0004338638,0.00648864],"genre_scores_gemma":[0.9884707,0.0002227068,0.007503529,0.00001449154,0.000003003425,0.00003172645,0.0008082589,0.00002978315,0.002915834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008584677,"threshold_uncertainty_score":0.0622865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792540351","doi":"10.1016/j.trd.2018.02.006","title":"Greenhouse gas emission benefits of vehicle lightweighting: Monte Carlo probabalistic analysis of the multi material lightweight vehicle glider","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Ford Motor Company; U.S. Department of Energy","keywords":"Greenhouse gas; Powertrain; Automotive engineering; Glider; Life-cycle assessment; Battery electric vehicle; Environmental science; Monte Carlo method; Driving cycle; Electric vehicle; Fuel efficiency; Production (economics); Engineering; Marine engineering; Power (physics)","authors":[{"name":"Jason M. Luk","is_ca":true},{"name":"Hyung Chul Kim","is_ca":false},{"name":"Robert De Kleine","is_ca":false},{"name":"Timothy J. Wallington","is_ca":false},{"name":"Heather L. MacLean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03123139322249845,"gpt":0.2587815535710853,"spread":0.2275501603485869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051259,0.0005810172,0.0007645535,0.001028315,0.0005373504,0.0008949989,0.0007576611,0.001090199,0.001709121],"category_scores_gemma":[0.0045381,0.0006033222,0.001223446,0.0006689627,0.000851321,0.0006804373,0.0004190023,0.000817287,0.000125359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699146,"about_ca_system_score_gemma":0.0009796829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032277,"about_ca_topic_score_gemma":0.01403924,"domain_scores_codex":[0.9996424,0.0001803921,0.00001054471,0.00004624951,0.00004971482,0.00007085632],"domain_scores_gemma":[0.9933167,0.005710913,0.0004662463,0.0001290857,0.000291482,0.00008564589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000308943,0.00001590719,0.0009520522,0.000007421791,0.00001113486,0.00001933189,0.000004112975,0.9978865,0.0001347896,0.0004998042,0.00003839611,0.000399664],"study_design_scores_gemma":[0.000008402259,0.00002682348,0.000677496,0.000002384978,0.00001082452,0.00000557946,0.000007879789,0.9986619,0.0001465586,0.0004115812,0.00003520706,0.00000541774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696113,0.0003107105,0.0238405,0.0002665601,0.00001851231,0.00008481686,0.0004734434,0.00008625495,0.005307999],"genre_scores_gemma":[0.9956156,0.0001188396,0.002767106,0.00003230404,0.000008118536,0.00005026376,0.0002046399,0.0000121112,0.001190962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032277,"threshold_uncertainty_score":0.06029254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122406596","doi":"10.1016/j.trd.2008.02.002","title":"Vehicle-type choice and neighbourhood characteristics: An empirical study of Hamilton, Canada","year":2008,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Type (biology); Mathematics; Geography; Econometrics; Sociology; Geology; Mathematical analysis; Paleontology","authors":[{"name":"Dimitris Potoglou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08472675477919467,"gpt":0.3561731061265224,"spread":0.2714463513473277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009926329,0.0004600596,0.0009860942,0.001933648,0.009071701,0.002696736,0.002579598,0.0008346412,0.005038432],"category_scores_gemma":[0.003202253,0.0009156473,0.0008365317,0.009083041,0.001918284,0.001081929,0.001806829,0.001387632,0.0007248513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04915954,"about_ca_system_score_gemma":0.05876961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987073,"about_ca_topic_score_gemma":0.9996542,"domain_scores_codex":[0.9984927,0.0002375617,0.00007460668,0.0002288613,0.0003899348,0.0005762484],"domain_scores_gemma":[0.9950643,0.0007782588,0.0005614276,0.0002149113,0.002125463,0.001255617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002785004,0.0004834145,0.9613296,0.0001097027,0.0001510733,0.0005654467,0.01765534,0.0004931902,0.0004088685,0.001694577,0.005883106,0.01094728],"study_design_scores_gemma":[0.00004152209,0.00006576446,0.9708669,0.00008349224,0.00006035289,0.00008104572,0.02374083,0.00101758,0.0001028132,0.0001240635,0.003763705,0.00005183864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946772,0.0002960046,0.0001785482,0.0003001417,0.000006645123,0.0001064003,0.002131746,0.00001092614,0.002292428],"genre_scores_gemma":[0.9906295,0.0005204611,0.0006031276,0.0002310798,0.00000500162,0.00007903908,0.00178016,0.00002125673,0.006130458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04915954,"threshold_uncertainty_score":0.3566791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091562509","doi":"10.1016/j.trd.2014.07.012","title":"Climate change modeling and the weather-related road accidents in Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Traffic and Road Safety","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Poisson regression; Negative binomial distribution; Index (typography); Environmental science; Road surface; Generalized linear model; Climate change; Regression analysis; Geography; Binomial regression; Meteorology; Poisson distribution; Statistics; Environmental health; Computer science; Engineering; Mathematics; Medicine; Ecology; Civil engineering","authors":[{"name":"Shohel Amin","is_ca":true},{"name":"Alireza Zareie","is_ca":true},{"name":"Luis Esteban Amador-Jiménez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02432865178514102,"gpt":0.2275364774656441,"spread":0.2032078256805031,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006012471,0.0003980797,0.0003412459,0.0007838954,0.001763547,0.001890135,0.001188916,0.0008132491,0.003970894],"category_scores_gemma":[0.002307571,0.0003185533,0.000941515,0.00188514,0.0004385478,0.0007076322,0.0004442758,0.00103942,0.0002597995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0487367,"about_ca_system_score_gemma":0.05046886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983566,"about_ca_topic_score_gemma":0.9980399,"domain_scores_codex":[0.9996021,0.00004378856,0.00002086776,0.00006974554,0.0001014048,0.0001621442],"domain_scores_gemma":[0.9986754,0.0001885089,0.0000772354,0.00003818095,0.0008560932,0.0001645427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004241598,0.0002933872,0.6046102,0.0001414913,0.0003806076,0.0002616896,0.0006776761,0.353776,0.001049304,0.006152243,0.01494889,0.01728436],"study_design_scores_gemma":[0.00007215364,0.00004653377,0.6348281,0.00006625852,0.0002620087,0.00004740809,0.001991368,0.3422315,0.001114481,0.001163667,0.01806059,0.0001160405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771876,0.0009101334,0.001105498,0.002701931,0.0001119388,0.00002957732,0.00922776,0.0001155875,0.008609983],"genre_scores_gemma":[0.9931152,0.0005475411,0.0002762539,0.00009339823,0.00001561337,0.000007842783,0.002010209,0.00002436947,0.003909542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0487367,"threshold_uncertainty_score":0.3536112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2551389887","doi":"10.1016/j.trd.2016.10.036","title":"The net effects of the built environment on household vehicle emissions: A case study of Austin, TX","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Built environment; Vehicle miles of travel; Environmental science; Work (physics); Car ownership; Transport engineering; Automotive engineering; Environmental engineering; Engineering; Civil engineering; Public transport","authors":[{"name":"Kwangyul Choi","is_ca":true},{"name":"Ming Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06797857385148447,"gpt":0.3332848714058949,"spread":0.2653062975544104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000298452,0.0003618846,0.0002363604,0.0004694766,0.002948319,0.001703909,0.0007631334,0.0007677836,0.003872933],"category_scores_gemma":[0.0005812224,0.0001960452,0.0004738274,0.0009797305,0.0006564357,0.0008178969,0.001423772,0.0005005124,0.0002612725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002818754,"about_ca_system_score_gemma":0.0019517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1137135,"about_ca_topic_score_gemma":0.3287437,"domain_scores_codex":[0.999673,0.0001128579,0.00001116417,0.00003386456,0.00005038593,0.0001186229],"domain_scores_gemma":[0.999683,0.0001166423,0.00004509229,0.00002172788,0.00006241554,0.00007109393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001844221,0.00234383,0.7834398,0.0005522723,0.0004734813,0.06782591,0.0289121,0.02797623,0.01012071,0.009927426,0.008061901,0.05852216],"study_design_scores_gemma":[0.00009878549,0.001234311,0.7936314,0.0001942615,0.0004285823,0.005087818,0.1603245,0.0114772,0.005516408,0.001918404,0.01999963,0.00008879708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924518,0.00006483053,0.0001329016,0.0001725003,0.000005516352,0.00002002366,0.000173868,0.000004828138,0.006973689],"genre_scores_gemma":[0.9970497,0.000158199,0.0002124114,0.00002889143,0.000005063869,0.00001740837,0.00008272471,0.000005275745,0.002440279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137135,"threshold_uncertainty_score":0.2261031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977483284","doi":"10.1016/j.trd.2014.11.014","title":"Simulating the air quality impacts of traffic calming schemes in a dense urban neighborhood","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Traffic calming; Air quality index; Quality (philosophy); Environmental science; Computer science; Transport engineering; Geography; Meteorology; Engineering; Physics","authors":[{"name":"Golnaz Ghafghazi","is_ca":true},{"name":"Marianne Hatzopoulou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07538302478288052,"gpt":0.3613630243456869,"spread":0.2859799995628064,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004297982,0.0006797247,0.0007199442,0.0004597514,0.0008827035,0.0009718382,0.001638738,0.002030788,0.00279273],"category_scores_gemma":[0.001136668,0.000618273,0.001079043,0.0008275869,0.0008968175,0.0007429817,0.0007910365,0.001163119,0.0001745563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979775,"about_ca_system_score_gemma":0.001374834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2016981,"about_ca_topic_score_gemma":0.1402266,"domain_scores_codex":[0.9997043,0.00006600675,0.00001137489,0.0000632435,0.00003074717,0.0001243272],"domain_scores_gemma":[0.9991854,0.0003969669,0.00006321832,0.00005332394,0.000122451,0.0001786517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002095769,0.0004895814,0.007564836,0.00001737673,0.00003675529,0.0001192554,0.00005329437,0.9887229,0.0008605017,0.000446565,0.0002744391,0.001204829],"study_design_scores_gemma":[0.00007451148,0.0001502593,0.003959912,0.000003498891,0.00002260922,0.000008330255,0.0001877357,0.9949738,0.0003438494,0.0001582514,0.0001066753,0.00001064287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975438,0.00002168747,0.000679939,0.00006813122,0.00001913266,0.00002125437,0.0001891372,0.00002732724,0.001429609],"genre_scores_gemma":[0.9983708,0.0000238785,0.0006185471,0.00001755653,0.000004694391,0.0000125547,0.0001670356,0.000006719854,0.0007782525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2016981,"threshold_uncertainty_score":0.4010481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791404336","doi":"10.1016/j.trd.2018.02.011","title":"Examining the role of natural gas and advanced vehicle technologies in mitigating CO2 emissions of heavy-duty trucks: Modeling prototypical British Columbia routes with road grades","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University; University of Victoria","funders":"California Air Resources Board","keywords":"Truck; Drivetrain; Diesel fuel; Automotive engineering; Compressed natural gas; Heavy duty; Tractor; Engineering; Environmental science; Torque","authors":[{"name":"S. Mojtaba Lajevardi","is_ca":true},{"name":"Jonn Axsen","is_ca":true},{"name":"Curran Crawford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01831624867199205,"gpt":0.2407913162354771,"spread":0.2224750675634851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102676,0.001070631,0.0006756326,0.0005770277,0.001427192,0.002197514,0.001928734,0.002145913,0.002543449],"category_scores_gemma":[0.001177846,0.0007503966,0.001044664,0.0009232065,0.0008193108,0.001074135,0.0005391879,0.001249487,0.0002674856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008360774,"about_ca_system_score_gemma":0.006965603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.915934,"about_ca_topic_score_gemma":0.8986011,"domain_scores_codex":[0.9997682,0.00005059803,0.000005674208,0.00004585542,0.00002254713,0.0001071244],"domain_scores_gemma":[0.9992595,0.0003931084,0.00004477163,0.00003103672,0.0001824824,0.00008908692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002148302,0.0003122981,0.01682067,0.00003505936,0.00005312675,0.0001227285,0.00009275602,0.9776728,0.001077537,0.0006778392,0.0005591422,0.002361258],"study_design_scores_gemma":[0.00005490217,0.0001104124,0.01198525,0.000008356023,0.00005064959,0.00001077511,0.0005777688,0.9857882,0.000750194,0.0002053405,0.0004320817,0.00002609061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955121,0.00004013759,0.000412861,0.00009273847,0.000005876223,0.00002762626,0.0003069997,0.0000200033,0.003581543],"genre_scores_gemma":[0.9957346,0.00006394391,0.0006086167,0.00002863433,0.000002366628,0.00001961443,0.0002606632,0.00001744768,0.003264169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08406603,"threshold_uncertainty_score":0.1691222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317607132","doi":"10.1016/j.trd.2023.103615","title":"Minimizing costs and carbon emissions in railway alignment optimization: A bi-objective model","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Central South University; National Natural Science Foundation of China","keywords":"Greenhouse gas; Particle swarm optimization; Energy consumption; Life-cycle assessment; Global warming; Carbon sink; Environmental science; Carbon fibers; Service life; Engineering; Computer science; Production (economics); Climate change; Reliability engineering; Algorithm","authors":[{"name":"Hao Pu","is_ca":false},{"name":"Ling Cai","is_ca":false},{"name":"Taoran Song","is_ca":true},{"name":"Paul Schonfeld","is_ca":false},{"name":"Jianping Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02469522117893666,"gpt":0.2551863839468603,"spread":0.2304911627679237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002168,0.002041317,0.003307353,0.001590644,0.0009213625,0.003576475,0.003177867,0.005905,0.008780984],"category_scores_gemma":[0.004592429,0.001738118,0.001785454,0.003093255,0.001635153,0.002651395,0.001546037,0.002359267,0.0007122807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709004,"about_ca_system_score_gemma":0.002269368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03831585,"about_ca_topic_score_gemma":0.02097504,"domain_scores_codex":[0.9988715,0.0005582739,0.00003886811,0.0001645305,0.0001386245,0.0002282474],"domain_scores_gemma":[0.9978623,0.001509467,0.0002158379,0.00005924046,0.0002085161,0.0001447617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002382679,0.00002362483,0.0001039287,0.00002456535,0.00001749641,0.00002504599,0.000005737867,0.9966195,0.00004680299,0.002255,0.000161657,0.0006927409],"study_design_scores_gemma":[0.00001375363,0.00001686502,0.0001012468,0.000005771236,0.00001102322,0.000004818582,0.000008673886,0.998475,0.00002263153,0.001212929,0.0001218456,0.000005577474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3451241,0.003638583,0.5718271,0.003336252,0.0003769379,0.0004129691,0.002517944,0.000399597,0.07236648],"genre_scores_gemma":[0.9343203,0.001284677,0.03398595,0.0002627545,0.00009764995,0.0003711632,0.0006471171,0.0001115367,0.0289188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03831585,"threshold_uncertainty_score":0.0761857,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Sónia Almeida Neves","is_ca":false},{"name":"António Cardoso Marques","is_ca":false},{"name":"Víctor Moutinho","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03579586158933071,"gpt":0.2821678463353945,"spread":0.2463719847460638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001866236,0.0009984623,0.001414918,0.0007512301,0.0004800949,0.001484546,0.001469463,0.001949423,0.004206458],"category_scores_gemma":[0.003424617,0.0006309833,0.0012725,0.0008070532,0.000526311,0.001146437,0.0007013301,0.00145821,0.0003131166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798889,"about_ca_system_score_gemma":0.001239622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04147233,"about_ca_topic_score_gemma":0.01710496,"domain_scores_codex":[0.9994395,0.0002552576,0.00001900458,0.00009870177,0.00004816886,0.0001393424],"domain_scores_gemma":[0.9971467,0.002140116,0.0001758009,0.00009938502,0.0003498049,0.00008813846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008787692,0.00003478815,0.0005906933,0.00001948298,0.00002194255,0.00003661331,0.000008712627,0.9960317,0.0001419802,0.001843893,0.0002134321,0.0009688815],"study_design_scores_gemma":[0.0000177506,0.00003729563,0.0004266464,0.000005005815,0.00001839524,0.000006072606,0.00002455815,0.9986562,0.0001437442,0.0004970155,0.0001619552,0.00000536642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8527536,0.0008593568,0.1166434,0.0007942001,0.0001271595,0.000187869,0.002444032,0.0002806409,0.02590977],"genre_scores_gemma":[0.9877173,0.0001703094,0.005436744,0.00004021205,0.00001120522,0.0001067372,0.0006439717,0.0000269519,0.005846684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04147233,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388407530","doi":"10.1016/j.trd.2023.103957","title":"Ship schedule recovery with voluntary speed reduction zones and emission control areas","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schedule; Incentive; Reduction (mathematics); Constraint (computer-aided design); Control (management); Computer science; Variety (cybernetics); Scarcity; Operations research; Environmental economics; Engineering; Economics; Microeconomics; Mathematics","authors":[{"name":"Zeinab Elmi","is_ca":false},{"name":"Bokang Li","is_ca":false},{"name":"Amir M. Fathollahi‐Fard","is_ca":true},{"name":"Guangdong Tian","is_ca":false},{"name":"Marta Borowska-Stefańska","is_ca":false},{"name":"Szymon Wiśniewski","is_ca":false},{"name":"Maxim A. Dulebenets","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02600874106458372,"gpt":0.2607848900661345,"spread":0.2347761490015508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331401,0.000555562,0.0005848157,0.001067764,0.001272317,0.001416016,0.002753126,0.0008685113,0.01673436],"category_scores_gemma":[0.003577041,0.0003622599,0.001131714,0.000903969,0.0005843577,0.0009010024,0.001052604,0.0009150303,0.001383507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299281,"about_ca_system_score_gemma":0.004148079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700128,"about_ca_topic_score_gemma":0.02902072,"domain_scores_codex":[0.9983214,0.0002761715,0.00009745535,0.0003116342,0.0004172668,0.0005761258],"domain_scores_gemma":[0.9978535,0.0004217719,0.0002832472,0.0006691062,0.0005781538,0.0001942749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006997105,0.004536576,0.01800323,0.000337761,0.0003045549,0.0004487781,0.0005178154,0.4834419,0.02771661,0.03003985,0.01754716,0.4101087],"study_design_scores_gemma":[0.001805794,0.005643158,0.09289061,0.000115389,0.000678484,0.0005469692,0.002827723,0.7203719,0.07695463,0.02728777,0.07063171,0.0002458947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628955,0.0001703156,0.1464585,0.0008149564,0.0004646474,0.001332021,0.001676498,0.005123046,0.08106453],"genre_scores_gemma":[0.9700323,0.00002304725,0.01824327,0.00007297195,0.0000194296,0.0001036886,0.0004868261,0.00009829905,0.01092025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700128,"threshold_uncertainty_score":0.05598199,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Zoe Long","is_ca":true},{"name":"Jonn Axsen","is_ca":true},{"name":"Christine Kormos","is_ca":true},{"name":"Suzanne Goldberg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02539443769647457,"gpt":0.2301417411139683,"spread":0.2047473034174937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094439,0.0004396803,0.0008049971,0.0005392673,0.001329543,0.002767026,0.001650038,0.0008366961,0.008279761],"category_scores_gemma":[0.002860764,0.0004799579,0.001136526,0.001699331,0.0009568376,0.001092503,0.0007860179,0.001295249,0.0004062457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03349165,"about_ca_system_score_gemma":0.03409311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905013,"about_ca_topic_score_gemma":0.9938852,"domain_scores_codex":[0.9993561,0.00009718753,0.00002682189,0.00009899442,0.0001555881,0.0002653006],"domain_scores_gemma":[0.9976854,0.001180423,0.0001890434,0.0001199632,0.0006121526,0.0002130603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001692223,0.001057258,0.4083161,0.0007074459,0.0004602518,0.0008613977,0.005261896,0.3255864,0.003946755,0.1844003,0.02198254,0.04572742],"study_design_scores_gemma":[0.0004806033,0.0003836688,0.4892235,0.0003061887,0.0004364857,0.0001132681,0.01840814,0.4232932,0.003085482,0.02912874,0.03481201,0.0003286447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797096,0.0004691653,0.002615883,0.001282791,0.00000897926,0.0000727986,0.009197259,0.00004797562,0.00659552],"genre_scores_gemma":[0.9883984,0.0003187961,0.001179742,0.00007141986,0.000004729638,0.00002945994,0.003723718,0.00001492378,0.006258885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03349165,"threshold_uncertainty_score":0.243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3166165522","doi":"10.1016/j.trd.2021.102915","title":"Do new urban and suburban cycling facilities encourage more bicycling?","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Cycling; Odds; Transport engineering; Sustainable transport; Poison control; Built environment; Engineering; Geography; Business; Environmental health; Civil engineering; Sustainability; Logistic regression; Medicine","authors":[{"name":"Raktim Mitra","is_ca":true},{"name":"Avet Khachatryan","is_ca":true},{"name":"Paul Hess","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06940253400068173,"gpt":0.3469705113852217,"spread":0.27756797738454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820748,0.00007044667,0.0001823779,0.0004826075,0.0004437778,0.000741579,0.0003402162,0.0004424215,0.003839593],"category_scores_gemma":[0.002145843,0.000133196,0.0002261955,0.0007922069,0.0005902171,0.0004571083,0.0004215377,0.0002878873,0.0002082847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334642,"about_ca_system_score_gemma":0.002449757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2768884,"about_ca_topic_score_gemma":0.5966001,"domain_scores_codex":[0.9996399,0.00005946315,0.00002113151,0.00006242665,0.00007621891,0.0001408848],"domain_scores_gemma":[0.9984946,0.0002145117,0.000623733,0.00005599529,0.0002035402,0.00040764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000667881,0.0000614974,0.9884255,0.00005148891,0.00002136662,0.00006344833,0.001848957,0.00004079549,0.0002306994,0.0002475565,0.0003679355,0.008573938],"study_design_scores_gemma":[0.000001965491,0.00001713432,0.995473,0.00001704332,0.000005823885,0.00002806211,0.003828535,0.0000344497,0.00003141899,0.0000371551,0.0005233957,0.00000198364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997286,0.0001809553,0.00003315638,0.0004059671,0.000005172851,0.00000851026,0.0001824557,0.000002047656,0.001895674],"genre_scores_gemma":[0.99924,0.0001730379,0.00003910311,0.00004698781,0.000004123726,0.000003069553,0.00006946343,0.000001115678,0.0004231235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2768884,"threshold_uncertainty_score":0.5505536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}