{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":67,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":67,"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":"4f0a7c27078d","filters":{"venue":"Transportation Research Interdisciplinary Perspectives"}},"results":[{"id":"W4362676646","doi":"10.1016/j.trip.2023.100814","title":"A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Road accident; Random forest; Computer science; Machine learning; AdaBoost; Boosting (machine learning); Categorical variable; Gradient boosting; Artificial intelligence; Road traffic accident; Predictive modelling; Classifier (UML); Transport engineering; Road traffic; Engineering","authors":[{"name":"Shakil Ahmed","is_ca":false},{"name":"Md Akbar Hossain","is_ca":false},{"name":"Sayan Kumar Ray","is_ca":false},{"name":"Md. Mafijul Islam Bhuiyan","is_ca":true},{"name":"Saifur Rahman Sabuj","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08359841811684365,"gpt":0.354591971049676,"spread":0.2709935529328323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004595072,0.001166622,0.0007553181,0.001738415,0.0003564507,0.0008756755,0.000733474,0.0007675736,0.0005180825],"category_scores_gemma":[0.009676251,0.0002551161,0.001401283,0.001451481,0.0002492815,0.001352648,0.0004777762,0.001327412,0.0002686588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059079,"about_ca_system_score_gemma":0.0008279888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03750285,"about_ca_topic_score_gemma":0.02071658,"domain_scores_codex":[0.9989147,0.0004414607,0.00008651202,0.0002287581,0.0002455442,0.00008302097],"domain_scores_gemma":[0.9932529,0.004243746,0.0004722956,0.0006917545,0.001175173,0.0001641396],"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":[0.0006115651,0.0006588286,0.2860698,0.0003729991,0.001060001,0.0002612914,0.0002949096,0.5154428,0.00180785,0.002086374,0.005059381,0.1862742],"study_design_scores_gemma":[0.00001119416,0.0003272753,0.04001442,0.00003852549,0.0001194877,0.00008676489,0.0001038388,0.9563401,0.001097387,0.0007852632,0.001052893,0.00002284201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357913,0.006883085,0.05074995,0.001485111,0.0001772304,0.00009133928,0.001816328,0.0004797631,0.002525828],"genre_scores_gemma":[0.978236,0.001587294,0.01596959,0.00007907322,0.00009596938,0.0000327567,0.00322294,0.00002266735,0.000753633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03750285,"threshold_uncertainty_score":0.07456911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224236076","doi":"10.1016/j.trip.2022.100602","title":"Is the 15-minute city within reach? Evaluating walking and cycling accessibility to grocery stores in Vancouver","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"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":"Wellcome Trust","keywords":"Cycling; Pedestrian; Grocery store; Population; Business; Grocery shopping; Transport engineering; Gerontology; Geography; Marketing; Environmental health; Medicine; Engineering","authors":[{"name":"Kate Hosford","is_ca":true},{"name":"Jeneva Beairsto","is_ca":true},{"name":"Meghan Winters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.124768308781762,"gpt":0.4784337415017493,"spread":0.3536654327199873,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000830193,0.0001836252,0.0002954925,0.0009786111,0.001177672,0.002373134,0.0005020074,0.0003518375,0.001714931],"category_scores_gemma":[0.003802622,0.0001786809,0.0003118229,0.001322861,0.0005347986,0.0003901562,0.001206066,0.0003215009,0.000189875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696357,"about_ca_system_score_gemma":0.002474275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5248978,"about_ca_topic_score_gemma":0.7990676,"domain_scores_codex":[0.9991574,0.0001994694,0.00006952223,0.00007143052,0.0003277798,0.0001743206],"domain_scores_gemma":[0.9982174,0.0002787937,0.0002458957,0.00004276035,0.0006969846,0.0005181605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002739179,0.0003461017,0.9412752,0.0002213496,0.00007847072,0.0004828271,0.01091439,0.0005168573,0.0005630677,0.0003076289,0.0008306315,0.0441894],"study_design_scores_gemma":[0.00001018258,0.0002919353,0.9679074,0.0001446607,0.00003882423,0.000139287,0.0273151,0.0004677957,0.0001751325,0.0001003019,0.003389328,0.00001997454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953002,0.0001635839,0.00006724826,0.00004109612,0.000004215621,0.00004840879,0.0001488314,0.000002234382,0.004224117],"genre_scores_gemma":[0.9977635,0.0002964403,0.0002814859,0.00002494829,0.000002327357,0.00005229484,0.000207661,0.000002593709,0.001368692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4751022,"threshold_uncertainty_score":0.9558004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308591649","doi":"10.1016/j.trip.2022.100718","title":"COVID-19 pandemic and air transportation: Summary of Recent Research, Policy Consideration and Future Research Directions","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Aviation; Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Workforce; Sustainability; Subject (documents); Counterintuitive; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Political science; Economics; Economic growth; Engineering; Geography; Computer science; Medicine","authors":[{"name":"Xiaoqian Sun","is_ca":false},{"name":"Sebastian Wandelt","is_ca":false},{"name":"Anming Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2230723203553986,"gpt":0.4501788086987042,"spread":0.2271064883433057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00477464,0.0008449206,0.001026781,0.005766725,0.0009605657,0.006808744,0.000864443,0.003262189,0.007040499],"category_scores_gemma":[0.0110053,0.000412929,0.000897788,0.01142054,0.00182062,0.009134589,0.001478246,0.003530013,0.001377201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004299069,"about_ca_system_score_gemma":0.006342602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088329,"about_ca_topic_score_gemma":0.01601265,"domain_scores_codex":[0.9988066,0.0004846613,0.0001259622,0.0002282946,0.0002035933,0.0001508695],"domain_scores_gemma":[0.9814517,0.01326308,0.001598889,0.0002566167,0.002864755,0.0005650412],"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":[0.0003959911,0.0002781792,0.01434801,0.03630295,0.0004458987,0.0006772262,0.001603795,0.004754781,0.0005777153,0.1472257,0.1206562,0.6727335],"study_design_scores_gemma":[0.00003372047,0.0003623528,0.02734927,0.06008935,0.0006151546,0.0009311183,0.01281472,0.003427836,0.0005012579,0.0883897,0.8053054,0.0001800403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001794624,0.9573162,0.0004737276,0.03591863,0.001243195,0.00001133594,0.0001891223,0.00001343718,0.003039747],"genre_scores_gemma":[0.01448644,0.9798183,0.0005275847,0.002640432,0.001894453,0.00001245756,0.0001482528,0.000006749818,0.0004652208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01088329,"threshold_uncertainty_score":0.03119212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008422482","doi":"10.1016/j.trip.2020.100094","title":"Perceived safety and experienced incidents between pedestrians and cyclists in a high-volume non-motorized shared space","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Crowding; Transport engineering; Perception; Applied psychology; Human factors and ergonomics; Poison control; Shared space; Crowds; Affect (linguistics); Psychology; Space (punctuation); Engineering; Computer security; Computer science; Environmental health; Medicine","authors":[{"name":"Filippos Gkekas","is_ca":true},{"name":"Alexander Bigazzi","is_ca":true},{"name":"Gurdiljot Singh Gill","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02866511042728541,"gpt":0.3275062131674168,"spread":0.2988411027401314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008134414,0.0002213533,0.0002338801,0.0008293308,0.0006853025,0.0009964121,0.0002875449,0.0003663684,0.001789659],"category_scores_gemma":[0.00444086,0.0002022503,0.0003358635,0.00050749,0.0005239999,0.0007233987,0.0009917122,0.0003816741,0.0001568262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005436046,"about_ca_system_score_gemma":0.000388542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819965,"about_ca_topic_score_gemma":0.01082146,"domain_scores_codex":[0.9991866,0.0003534985,0.000100814,0.00008658889,0.0001507175,0.0001219278],"domain_scores_gemma":[0.996727,0.0007720405,0.00143253,0.0001144308,0.0004506526,0.0005033721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009871038,0.0000853085,0.9836036,0.00004324379,0.00003929192,0.0002570795,0.01168196,0.0001010783,0.0005317008,0.00003191557,0.00005404119,0.00347204],"study_design_scores_gemma":[0.000003250652,0.0005314759,0.9511095,0.00002351282,0.00001688445,0.0002743368,0.04743548,0.0001792859,0.000164308,0.00002973169,0.0002191294,0.00001298738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998401,0.00001518383,0.00002825193,0.000010307,6.35991e-7,0.000002584255,0.00001260266,6.555703e-7,0.0000896721],"genre_scores_gemma":[0.9997709,0.00003186284,0.00006614878,0.000006935133,0.000002039775,0.000005907522,0.00002729465,5.301085e-7,0.00008834952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005819965,"threshold_uncertainty_score":0.01157218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137091668","doi":"10.1016/j.trip.2021.100350","title":"COVID-19 and Travel: How Our Out-of-home Travel Activity, In-home Activity, and Long-Distance Travel Have Changed","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Air travel; Medicine; Virology; Engineering; Outbreak; Internal medicine; Aviation; Infectious disease (medical specialty); Aerospace engineering","authors":[{"name":"Mahmudur Rahman Fatmi","is_ca":true},{"name":"Corrie Elizabeth Thirkell","is_ca":true},{"name":"Md Shahadat Hossain","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1047969435817881,"gpt":0.438126449670894,"spread":0.3333295060891059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008100985,0.0002618196,0.000279953,0.0006863726,0.0009070764,0.00286521,0.000511119,0.0006132398,0.003002116],"category_scores_gemma":[0.002953353,0.0001757734,0.000509897,0.002133167,0.001205181,0.001679746,0.001240924,0.001322337,0.0003376701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005773227,"about_ca_system_score_gemma":0.004688175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7296702,"about_ca_topic_score_gemma":0.7917354,"domain_scores_codex":[0.9991379,0.000268105,0.00002985966,0.000120752,0.0001290814,0.0003142255],"domain_scores_gemma":[0.9984854,0.0003416399,0.0003787165,0.00005431746,0.0003332448,0.0004066504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409511,0.00008226797,0.9406093,0.0002868038,0.0001728315,0.0002196949,0.005324147,0.001518793,0.0003607016,0.00414482,0.00583863,0.04130111],"study_design_scores_gemma":[0.000003062276,0.00006985466,0.9620814,0.0002416315,0.00004563598,0.0001345499,0.01774872,0.001412087,0.0001128582,0.001165239,0.01694163,0.0000432816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462301,0.01031192,0.001565648,0.01658833,0.0002089199,0.00004082878,0.00397882,0.00003351905,0.02104194],"genre_scores_gemma":[0.990072,0.005091109,0.0005174571,0.000823796,0.0000534257,0.0000109418,0.001200574,0.00001433515,0.002216309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7296702,"threshold_uncertainty_score":0.5438437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206066341","doi":"10.1016/j.trip.2022.100548","title":"Risk perceptions of COVID-19 transmission in different travel modes","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Risk perception; Transmission (telecommunications); Likert scale; Public transport; Mode choice; Business; Perception; Ordered logit; Pandemic; Mode (computer interface); Marketing; Psychology; Demographic economics; Environmental health; Coronavirus disease 2019 (COVID-19); Transport engineering; Engineering; Economics; Medicine; Telecommunications; Computer science","authors":[{"name":"Niaz Mahmud Zafri","is_ca":false},{"name":"Asif Khan","is_ca":false},{"name":"Shaila Jamal","is_ca":true},{"name":"Bhuiyan Monwar Alam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2625970434202335,"gpt":0.5205380646704606,"spread":0.2579410212502271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605143,0.0002604999,0.0001936621,0.000498572,0.0005672252,0.001101767,0.0001978276,0.0004373519,0.002970982],"category_scores_gemma":[0.005986226,0.0001506131,0.0005321509,0.0003246333,0.0005371965,0.0007877774,0.001099894,0.0007235311,0.0002017538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006060344,"about_ca_system_score_gemma":0.0004522266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009681946,"about_ca_topic_score_gemma":0.008959358,"domain_scores_codex":[0.9989859,0.0004306633,0.0001111687,0.00006502571,0.0002728031,0.0001343534],"domain_scores_gemma":[0.9966092,0.001022105,0.001103055,0.0001232236,0.0005249475,0.0006174289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001869937,0.0001809823,0.953517,0.0001296305,0.0001276627,0.0004146769,0.02291001,0.0005259615,0.0009866265,0.0007163062,0.0005814632,0.01972269],"study_design_scores_gemma":[0.00001752161,0.0004752062,0.9241772,0.0001859978,0.00009062638,0.0006288972,0.06810498,0.001701954,0.0003890608,0.001027685,0.003118667,0.00008210211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965367,0.0001998373,0.0003807222,0.0002791734,0.000007895152,0.00001843411,0.00007685201,0.000002954908,0.002497501],"genre_scores_gemma":[0.999458,0.0001150889,0.0001205282,0.00002640248,0.000002922595,0.000005286748,0.00003763476,7.275531e-7,0.0002334409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009681946,"threshold_uncertainty_score":0.01925117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4296200366","doi":"10.1016/j.trip.2022.100685","title":"The future of telecommuting post COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommuting; Preference; Work (physics); Coronavirus disease 2019 (COVID-19); Pandemic; Demographic economics; Ordered logit; Mixed logit; Logit; Geography; Logistic regression; Duration (music); Demography; Econometrics; Economics; Statistics; Medicine; Mathematics; Sociology; Engineering","authors":[{"name":"Mahmudur Rahman Fatmi","is_ca":true},{"name":"Muntahith Mehadil Orvin","is_ca":true},{"name":"Corrie Elizabeth Thirkell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07353992933662677,"gpt":0.4547847744263765,"spread":0.3812448450897497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131683,0.0001565871,0.0001955425,0.0004594121,0.001837198,0.003180361,0.0005812575,0.001756853,0.009220672],"category_scores_gemma":[0.003607185,0.00009092379,0.0002841571,0.000902936,0.00117757,0.001768257,0.001211687,0.0015464,0.001677626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003949314,"about_ca_system_score_gemma":0.004748752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1122614,"about_ca_topic_score_gemma":0.2034842,"domain_scores_codex":[0.9990599,0.000332243,0.00002424517,0.00006147612,0.0001356594,0.0003865348],"domain_scores_gemma":[0.9977641,0.0003962906,0.0003584461,0.00007953533,0.0004982349,0.0009033603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004669085,0.000310434,0.4438737,0.0004029988,0.00009619497,0.002614056,0.0115333,0.00781142,0.002065269,0.03476106,0.09124869,0.4048159],"study_design_scores_gemma":[0.00002372186,0.0005600263,0.6190901,0.001208017,0.00009301196,0.001867074,0.100711,0.0124801,0.000731369,0.02319757,0.2398344,0.0002034911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6664962,0.01208278,0.004388869,0.2255068,0.001172909,0.00004973492,0.002986363,0.000211135,0.08710531],"genre_scores_gemma":[0.9802105,0.005120026,0.0007538173,0.004019178,0.0002467447,0.00001967114,0.0005413551,0.00002148963,0.009067193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122614,"threshold_uncertainty_score":0.2232158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126155422","doi":"10.1016/j.trip.2021.100402","title":"Exploratory analysis of factors affecting levels of home deliveries before, during, and post- COVID-19","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pandemic; Metropolitan area; Coronavirus disease 2019 (COVID-19); Population; Exploratory research; Demography; Exploratory analysis; Medicine; Business; Environmental health; Sociology","authors":[{"name":"Avinash Unnikrishnan","is_ca":false},{"name":"Miguel Figliozzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0691679788713392,"gpt":0.3446229389087794,"spread":0.2754549600374402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147588,0.0003014952,0.000216483,0.001017054,0.0007289873,0.0008937308,0.0003709154,0.0004358723,0.002655147],"category_scores_gemma":[0.007724299,0.0002887977,0.0006876473,0.001221837,0.000420643,0.000659434,0.0008347565,0.0007088546,0.0002544643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370853,"about_ca_system_score_gemma":0.001069761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009905114,"about_ca_topic_score_gemma":0.01446719,"domain_scores_codex":[0.9987576,0.0004939153,0.0001181428,0.0001388504,0.0002395787,0.0002519734],"domain_scores_gemma":[0.9872128,0.005830371,0.003955616,0.0004814324,0.001395854,0.001123908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006502608,0.0001005955,0.995868,0.00001053315,0.00003001503,0.00006408569,0.001270168,0.00006629419,0.0002472665,0.00004497709,0.0001186119,0.002114533],"study_design_scores_gemma":[0.000001379338,0.0001177269,0.9955063,0.00000507748,0.000005831728,0.00003293514,0.003886668,0.0001944038,0.00007694178,0.0000146108,0.0001538341,0.000004296169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998924,0.00001384558,0.000104383,0.00004416237,0.000001706715,0.00003118468,0.0003843649,0.000003114451,0.000493358],"genre_scores_gemma":[0.9988875,0.00002625735,0.0002479024,0.00002013096,0.000003447106,0.0000610228,0.0004590911,0.000002052069,0.0002926888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009905114,"threshold_uncertainty_score":0.01969486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206490031","doi":"10.1016/j.trip.2022.100542","title":"Industry 4.0 in shipping: Implications to seafarers' skills and training","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Nippon Foundation","keywords":"Work (physics); Context (archaeology); Economic shortage; Public relations; Stakeholder; Industry 4.0; Training (meteorology); Perspective (graphical); Business; Political science; Marketing; Engineering; Government (linguistics)","authors":[{"name":"Polina Baum-Talmor","is_ca":true},{"name":"Momoko Kitada","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.072772054586052,"gpt":0.4256508553646455,"spread":0.3528788007785935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00416516,0.0001798959,0.0001617324,0.001434329,0.005611931,0.006357639,0.0006066978,0.001560325,0.01002312],"category_scores_gemma":[0.005298064,0.0001567152,0.0003431863,0.002566537,0.007066434,0.005403209,0.007169889,0.002158915,0.0007346975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005755775,"about_ca_system_score_gemma":0.006784638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790963,"about_ca_topic_score_gemma":0.03124123,"domain_scores_codex":[0.9971333,0.001346511,0.0001062409,0.0002137038,0.0003297669,0.0008705144],"domain_scores_gemma":[0.9941315,0.002927609,0.0009957543,0.0002081057,0.0005643523,0.001172698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001450228,0.0003025786,0.1235057,0.0006806554,0.00002046578,0.002079035,0.4383435,0.0009321382,0.001252225,0.2909441,0.01133718,0.1304575],"study_design_scores_gemma":[0.000008243826,0.0001223911,0.1329429,0.0009540943,0.000006430924,0.0004496699,0.7019654,0.0004408522,0.0002843429,0.02833472,0.1344422,0.00004878484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548432,0.002747611,0.001554881,0.0402755,0.0002101054,0.00003891689,0.0001166002,0.0000152745,0.1001979],"genre_scores_gemma":[0.9909417,0.001325992,0.0004539339,0.001381385,0.00004470913,0.00002462098,0.00005453987,0.00000653598,0.005766726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790963,"threshold_uncertainty_score":0.04176134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200296573","doi":"10.1016/j.trip.2021.100513","title":"Telecommuting and food E-commerce: Socially sustainable practices during the COVID-19 pandemic in Canada","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Telecommuting; Disadvantaged; Business; Sustainability; Social distance; Exploratory research; Pandemic; Coronavirus disease 2019 (COVID-19); Status quo; Marketing; Economic growth; Political science; Sociology; Economics; Medicine; Engineering","authors":[{"name":"Janet Music","is_ca":true},{"name":"Sylvain Charlebois","is_ca":true},{"name":"Virginia Toole","is_ca":true},{"name":"Charlotte Large","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0944320330546321,"gpt":0.3925562161050089,"spread":0.2981241830503768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546388,0.0002654268,0.0004008529,0.001279567,0.01844531,0.005942018,0.001190395,0.001110501,0.003079618],"category_scores_gemma":[0.003599583,0.0002801439,0.0003058684,0.004741745,0.005657145,0.001631564,0.00298465,0.002336145,0.0001637778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09416112,"about_ca_system_score_gemma":0.1249305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973843,"about_ca_topic_score_gemma":0.9987173,"domain_scores_codex":[0.9981247,0.0002099233,0.00004167648,0.0001227822,0.0005079027,0.0009930066],"domain_scores_gemma":[0.996532,0.00038318,0.0003779276,0.00006750844,0.001133399,0.001505994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002861065,0.0002229466,0.3151882,0.0002985685,0.00004649288,0.00232047,0.5751545,0.0003832204,0.001507807,0.01194211,0.0190768,0.0735728],"study_design_scores_gemma":[0.000008207378,0.00004810789,0.2820561,0.0001774403,0.00001819503,0.0001448784,0.6735333,0.0003092977,0.0002045243,0.0003278923,0.04309644,0.00007574701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684278,0.001250623,0.0001628145,0.01210577,0.0000727304,0.00005553792,0.000400994,0.00001546465,0.01750821],"genre_scores_gemma":[0.9938115,0.001158827,0.0001523386,0.0008958585,0.00001085362,0.00001142653,0.0001096928,0.00001042278,0.0038389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09416112,"threshold_uncertainty_score":0.68319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3117458145","doi":"10.1016/j.trip.2020.100292","title":"COVID-19: Are you satisfied with traveling during the pandemic?","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Ordered logit; Psychology; Population; Pandemic; Logistic regression; Discrete choice; Coronavirus disease 2019 (COVID-19); Demography; Logit; Yield (engineering); Demographic economics; Geography; Econometrics; Statistics; Medicine; Economics; Mathematics; Sociology; Disease","authors":[{"name":"Shivam Khaddar","is_ca":true},{"name":"Mahmudur Rahman Fatmi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1084744232295769,"gpt":0.4324116153160376,"spread":0.3239371920864606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393672,0.0001937903,0.0003313124,0.0004527423,0.0007610327,0.001571301,0.0005098578,0.000709379,0.004666688],"category_scores_gemma":[0.005167692,0.0001671311,0.0006867471,0.0009280793,0.0005748128,0.0008284493,0.0007403201,0.001624007,0.0006058961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523164,"about_ca_system_score_gemma":0.00146635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09995387,"about_ca_topic_score_gemma":0.1651486,"domain_scores_codex":[0.9992993,0.0002249313,0.00003866894,0.00007416606,0.0001395328,0.0002233304],"domain_scores_gemma":[0.9975137,0.0006324773,0.0008728749,0.00008686075,0.0004361416,0.0004580264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007212686,0.00007359636,0.9871247,0.0000426165,0.00005479456,0.0000885029,0.002160935,0.00008436675,0.00005590577,0.0001581904,0.001790622,0.008293635],"study_design_scores_gemma":[0.000004701988,0.00008651551,0.9796774,0.00006955204,0.00003950602,0.00007349867,0.01707955,0.0007125648,0.00004226393,0.0001579932,0.002042925,0.00001355779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934434,0.0003614033,0.000252507,0.002421962,0.00002912834,0.00002439825,0.001272941,0.000005003582,0.002189308],"genre_scores_gemma":[0.9970846,0.0003170351,0.0002059872,0.0004196145,0.00001393388,0.00002961452,0.0008028112,0.000003392323,0.001123128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09995387,"threshold_uncertainty_score":0.1987442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4304617838","doi":"10.1016/j.trip.2022.100697","title":"Review of resilience hubs and associated transportation needs","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Ecotrust Foundation","keywords":"Resilience (materials science); Environmental planning; Transport engineering; Business; Computer science; Geography; Engineering; Physics","authors":[{"name":"Thayanne Gabryelle Medeiros Ciríaco","is_ca":true},{"name":"Stephen D. Wong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04662276683305921,"gpt":0.415885783878364,"spread":0.3692630170453048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978172,0.0009034063,0.001174915,0.006862471,0.0005911858,0.00172439,0.001150331,0.001160618,0.005894314],"category_scores_gemma":[0.007924641,0.0005126391,0.001502058,0.00810275,0.0006421978,0.003217371,0.001104296,0.0009565116,0.0007167865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421843,"about_ca_system_score_gemma":0.007780179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056557,"about_ca_topic_score_gemma":0.01614211,"domain_scores_codex":[0.9989711,0.000319882,0.000272861,0.0001264886,0.0002314019,0.00007838291],"domain_scores_gemma":[0.9955394,0.002911693,0.0004955194,0.00006503439,0.0008744297,0.0001139736],"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":[0.0001001672,0.0000437428,0.001289494,0.2844208,0.0004817105,0.0002984822,0.001295969,0.001083623,0.0003427237,0.01706202,0.07079648,0.6227847],"study_design_scores_gemma":[0.00001363613,0.00009682351,0.005547001,0.2078725,0.001071086,0.0008091856,0.002143946,0.0001994827,0.0002118853,0.004861264,0.7771254,0.00004780812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005741405,0.9951496,0.0002852819,0.001294293,0.0003274922,0.00002193035,0.0001825513,0.000007067073,0.002157698],"genre_scores_gemma":[0.003046748,0.9959687,0.0002689659,0.0002406035,0.000086522,0.0000198022,0.0001224551,0.000001965913,0.0002442297],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01056557,"threshold_uncertainty_score":0.02100813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034955886","doi":"10.1016/j.trip.2020.100147","title":"Ethical decision making behind the wheel – A driving simulator study","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"University of Massachusetts Amherst; Ohio State University; Science and Engineering Research Council; U.S. Department of Transportation","keywords":"Computer science; Psychology; Operations research; Simulation; Social psychology; Engineering","authors":[{"name":"Siby Samuel","is_ca":true},{"name":"Sarah Yahoodik","is_ca":false},{"name":"Yusuke Yamani","is_ca":false},{"name":"Krishna Valluru","is_ca":false},{"name":"Donald L. Fisher","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2299707544394529,"gpt":0.4677338918309263,"spread":0.2377631373914734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003354413,0.0003505855,0.0002494693,0.0003868332,0.0006634741,0.001554513,0.0006852167,0.001419812,0.002738123],"category_scores_gemma":[0.01630199,0.0002652174,0.0004273735,0.0001707653,0.001044694,0.001111477,0.0008271821,0.001460556,0.0004459343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219678,"about_ca_system_score_gemma":0.0005912258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463643,"about_ca_topic_score_gemma":0.001637811,"domain_scores_codex":[0.9976379,0.001627926,0.00009822851,0.0002261932,0.0002878691,0.0001218142],"domain_scores_gemma":[0.9886855,0.007365976,0.00102107,0.001310701,0.0008287706,0.0007879487],"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":[0.01008535,0.1174351,0.3745502,0.000820412,0.0009926665,0.004951815,0.1220788,0.05583955,0.09585247,0.05939035,0.009640277,0.1483631],"study_design_scores_gemma":[0.003313822,0.0715771,0.3315847,0.0004017286,0.0005050913,0.003086591,0.07053583,0.3581362,0.02955372,0.07387555,0.0564365,0.0009930573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980024,0.00001529762,0.0007205643,0.00006321409,0.000008273566,0.00005964392,0.00001639959,0.000002941701,0.00111131],"genre_scores_gemma":[0.9968792,0.00004746833,0.001746706,0.000113875,0.00001033295,0.00009833744,0.00007058885,0.000004419017,0.001029127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003354413,"threshold_uncertainty_score":0.01774007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157335960","doi":"10.1016/j.trip.2021.100391","title":"An overview of the impact of COVID-19 on the cruise industry with considerations for Florida","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cruise; Context (archaeology); Cruise missile; Quarter (Canadian coin); Investment (military)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2581661236816704,"gpt":0.5220785580255638,"spread":0.2639124343438934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004817803,0.0006565136,0.0001483818,0.003250756,0.001622568,0.001899264,0.0004128398,0.001160817,0.01045857],"category_scores_gemma":[0.0007565673,0.0001512052,0.0004175917,0.002246613,0.0004881311,0.002295346,0.001179671,0.001176484,0.0009467684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003369879,"about_ca_system_score_gemma":0.00453583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05992115,"about_ca_topic_score_gemma":0.117148,"domain_scores_codex":[0.9997455,0.00005868261,0.00001511899,0.00002695475,0.00007895532,0.00007474618],"domain_scores_gemma":[0.9995556,0.0001314887,0.00005550544,0.00000689882,0.0001707272,0.00007964835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001659852,0.0001354081,0.008628007,0.00889709,0.00006164298,0.001725036,0.005961344,0.002651866,0.006277374,0.06462199,0.1892129,0.7116614],"study_design_scores_gemma":[0.000001457642,0.0001475359,0.01380879,0.002590372,0.00002020377,0.0004242526,0.004023968,0.000266035,0.0003534796,0.001895919,0.9764341,0.00003387033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04131258,0.6728359,0.004686147,0.05480387,0.004294747,0.000189149,0.001067147,0.0001721954,0.2206383],"genre_scores_gemma":[0.1154583,0.8214009,0.005177877,0.006175612,0.001978059,0.000112808,0.000879574,0.00004600286,0.04877086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05992115,"threshold_uncertainty_score":0.1191447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3027865899","doi":"10.1016/j.trip.2020.100115","title":"Spoilt - Ocean Cleanup: Alternative logistics chains to accommodate plastic waste recycling: An economic evaluation","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Supply chain; Environmental science; Reverse logistics; Waste management; Business; Environmental economics; Engineering","authors":[{"name":"Andreas van Giezen","is_ca":false},{"name":"Bart Wiegmans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1107034204916447,"gpt":0.3985584385111516,"spread":0.2878550180195069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004262859,0.002002643,0.001151148,0.002973537,0.0009705834,0.002625411,0.00142406,0.00168848,0.005313314],"category_scores_gemma":[0.004431758,0.0005829348,0.001746975,0.002523623,0.00109415,0.00341917,0.00150031,0.001139418,0.000414061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006290277,"about_ca_system_score_gemma":0.003241984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079346,"about_ca_topic_score_gemma":0.01496114,"domain_scores_codex":[0.9981697,0.000761303,0.00006339683,0.000129853,0.0005545727,0.0003211399],"domain_scores_gemma":[0.9965636,0.001908254,0.0002016541,0.0002591944,0.0008002035,0.0002671692],"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":[0.004375444,0.002211553,0.01189333,0.001118383,0.0002412047,0.0003230879,0.00008954073,0.9124638,0.003213022,0.008450232,0.001705059,0.05391538],"study_design_scores_gemma":[0.0008521194,0.01206431,0.01138455,0.0001879087,0.0004655543,0.0001174013,0.0009965083,0.9591704,0.006340194,0.0022624,0.006062423,0.00009621624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679969,0.0008774122,0.009229096,0.0003261504,0.00006316036,0.001053386,0.001673969,0.0001361867,0.01864376],"genre_scores_gemma":[0.9832461,0.001120247,0.01072718,0.00003956407,0.00001447793,0.0004135991,0.00131991,0.00003348032,0.003085379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079346,"threshold_uncertainty_score":0.04563934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205964665","doi":"10.1016/j.trip.2021.100531","title":"Travel behaviour and greenhouse gas emissions during the COVID-19 pandemic: A case study in a university setting","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Greenhouse gas; Carbon footprint; Modal shift; Modal; Climate change; Mode (computer interface); Travel time","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1150569744651211,"gpt":0.4344375358278131,"spread":0.319380561362692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107651,0.0003991478,0.0003572673,0.0008752996,0.004474888,0.001589403,0.001045443,0.001822518,0.001468097],"category_scores_gemma":[0.002326687,0.0003150741,0.0005712931,0.001739209,0.001088316,0.001173846,0.001748127,0.001526404,0.0002232486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005112798,"about_ca_system_score_gemma":0.002730714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2227099,"about_ca_topic_score_gemma":0.3961487,"domain_scores_codex":[0.9990435,0.0004422422,0.00003456324,0.00006791282,0.00007950739,0.00033223],"domain_scores_gemma":[0.9988778,0.0003266837,0.0002047747,0.00004930789,0.0001427697,0.0003985581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004211718,0.002286182,0.794549,0.0003533715,0.00015002,0.04954989,0.119235,0.002177944,0.001140843,0.001614229,0.004738571,0.02378391],"study_design_scores_gemma":[0.00003454739,0.001340707,0.4838795,0.0002527122,0.00008375276,0.009216208,0.4952052,0.00306848,0.0003642681,0.0005091538,0.005929084,0.0001164492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984916,0.000143115,0.00007373207,0.0004231733,0.000005001077,0.00002847726,0.00009442481,0.000002603321,0.0007377185],"genre_scores_gemma":[0.9986598,0.0005170605,0.0002074922,0.0001457295,0.00001198215,0.00002378049,0.00007124857,0.000003473284,0.0003594227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2227099,"threshold_uncertainty_score":0.4428272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4291449349","doi":"10.1016/j.trip.2022.100667","title":"Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Recreation; Geography; Demographics; Transport engineering; Coronavirus disease 2019 (COVID-19); Spatial analysis; Pandemic; Demography; Medicine; Engineering","authors":[{"name":"Jaimy Fischer","is_ca":true},{"name":"Trisalyn Nelson","is_ca":false},{"name":"Meghan Winters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2809389216782134,"gpt":0.524637027252326,"spread":0.2436981055741125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007999761,0.0003023403,0.0003340629,0.002023658,0.0006573563,0.001084774,0.000680676,0.0004149723,0.0008354664],"category_scores_gemma":[0.004404658,0.0001976277,0.0003788964,0.003436745,0.0003913192,0.0005533242,0.001411639,0.0004949393,0.0004736554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002683797,"about_ca_system_score_gemma":0.003406515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8255103,"about_ca_topic_score_gemma":0.8743107,"domain_scores_codex":[0.9991918,0.0002110481,0.00005108129,0.0001873681,0.0002056453,0.0001531081],"domain_scores_gemma":[0.9976063,0.0003236599,0.0002922022,0.000253022,0.001270223,0.0002546242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001783385,0.0000703081,0.9666905,0.0001731803,0.0001428245,0.0001349174,0.002569529,0.003724694,0.001018967,0.000374103,0.008102688,0.01682007],"study_design_scores_gemma":[0.00001992313,0.00005933828,0.968194,0.0001490744,0.00004300236,0.00007593036,0.006504105,0.01289937,0.0004838532,0.0001995655,0.01132941,0.0000424579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390645,0.0003259664,0.001246594,0.0004549794,0.00003054376,0.0001700886,0.05430598,0.0001500313,0.004251233],"genre_scores_gemma":[0.9446496,0.0002876964,0.004283336,0.0001140335,0.00001996205,0.000193972,0.04934603,0.00003864703,0.001066739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8255103,"threshold_uncertainty_score":0.3510346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3200873835","doi":"10.1016/j.trip.2021.100465","title":"Canadian transit agencies response to COVID-19: Understanding strategies, information accessibility and the use of social media","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Transit (satellite); Social media; USable; Public transport; Business; Public relations; Workforce; Political science; Transport engineering; Computer science; Engineering; World Wide Web","authors":[{"name":"Fabian Diaz","is_ca":true},{"name":"Sarmad J. Abbasi","is_ca":true},{"name":"Daniel Fuller","is_ca":true},{"name":"Ehab Diab","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5342200579661311,"gpt":0.5223233954564706,"spread":0.01189666250966059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004552933,0.0006784743,0.0003641581,0.008522134,0.01142225,0.01136969,0.001585557,0.001220657,0.003190785],"category_scores_gemma":[0.01139687,0.0003882356,0.0004689104,0.01164265,0.006232372,0.005474641,0.003307381,0.001890436,0.0003009869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1060058,"about_ca_system_score_gemma":0.1724321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935689,"about_ca_topic_score_gemma":0.9959139,"domain_scores_codex":[0.9955108,0.0008244903,0.0001514583,0.0003348777,0.001759722,0.001418743],"domain_scores_gemma":[0.9906145,0.00249777,0.001000818,0.0001462191,0.004723621,0.001017027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001045336,0.0001520759,0.1535859,0.003097547,0.0001264165,0.001598494,0.5312743,0.001114763,0.001136148,0.05253801,0.04234169,0.2129302],"study_design_scores_gemma":[0.000008647678,0.00004449344,0.1546253,0.002047819,0.00008955581,0.0001556903,0.6302235,0.0005796026,0.0004345706,0.002530279,0.2091472,0.0001133858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6053091,0.04808058,0.002588693,0.1041849,0.000335354,0.0004724741,0.004278405,0.0001410405,0.2346095],"genre_scores_gemma":[0.948179,0.03555113,0.002152705,0.003962182,0.00005325526,0.0001316693,0.0008600614,0.00003595748,0.009074126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060058,"threshold_uncertainty_score":0.7691299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280646623","doi":"10.1016/j.trip.2022.100614","title":"To bike or not to bike: Exploring cycling for commuting and non-commuting in Bangladesh","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"TRIPS architecture; Recreation; Walkability; Transport engineering; Cycling; Built environment; Geography; Perception; Poison control; Sustainable transport; Sustainability; Business; Socioeconomics; Environmental health; Psychology; Engineering; Civil engineering; Medicine; Economics; Political science","authors":[{"name":"Hossain Mohiuddin","is_ca":false},{"name":"Shaila Jamal","is_ca":true},{"name":"Md Musfiqur Rahman Bhuiya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1844138670088846,"gpt":0.4764904713380159,"spread":0.2920766043291313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070476,0.0004011964,0.0004541624,0.0006703722,0.001677316,0.001845361,0.0005702668,0.0006709625,0.004626344],"category_scores_gemma":[0.002076286,0.0003783978,0.0005553693,0.001332505,0.0009635882,0.001381202,0.001286846,0.0009067678,0.0005633667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905629,"about_ca_system_score_gemma":0.001277581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07574722,"about_ca_topic_score_gemma":0.1475297,"domain_scores_codex":[0.9993874,0.0002403444,0.00004468632,0.0000829924,0.00008487669,0.0001597858],"domain_scores_gemma":[0.9990403,0.0003476828,0.0002031185,0.00003589845,0.0001656065,0.0002071971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009915441,0.0002982378,0.8059199,0.0003293917,0.00008138822,0.0007884591,0.1688811,0.0002582773,0.001506118,0.0010964,0.0009811645,0.01976027],"study_design_scores_gemma":[0.000008007433,0.0001403458,0.4960265,0.0001482989,0.00004590704,0.0002147922,0.4979477,0.0007955393,0.0001493227,0.000523643,0.003950728,0.00004929684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973748,0.00009690986,0.0001607324,0.0001759025,0.000002706082,0.00002583875,0.0001621776,0.000001225536,0.001999676],"genre_scores_gemma":[0.9984248,0.0002897654,0.0002141482,0.00006057027,0.00000169375,0.00004786593,0.0001827648,0.000002878314,0.0007754891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07574722,"threshold_uncertainty_score":0.1506127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408235957","doi":"10.1016/j.trip.2025.101379","title":"Challenges and opportunities for ports in achieving net-zero emissions in maritime transport","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Zero emission; Business; Environmental science; Zero (linguistics); Transport engineering; Engineering; Waste management","authors":[{"name":"Pramithodha Chiranthaka Halpe","is_ca":true},{"name":"Michelle Adams","is_ca":true},{"name":"Tony R. ‎Walker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08291902431687587,"gpt":0.3793208459540632,"spread":0.2964018216371874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002608435,0.0005596256,0.0002865944,0.0008430415,0.002695194,0.009019235,0.0009658686,0.002378593,0.006540603],"category_scores_gemma":[0.00337155,0.0002578422,0.0005602249,0.001672045,0.00226381,0.01036674,0.00349707,0.002379587,0.001075705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003158539,"about_ca_system_score_gemma":0.007094245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006875818,"about_ca_topic_score_gemma":0.01372054,"domain_scores_codex":[0.9978812,0.0009152671,0.00007572021,0.0001684487,0.000486677,0.0004725681],"domain_scores_gemma":[0.9971851,0.001114413,0.0004465372,0.00008264273,0.0007597872,0.0004115305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002053744,0.0005182341,0.04181132,0.004873481,0.0001343539,0.003253847,0.01148614,0.01552734,0.00402309,0.6359116,0.0413203,0.240935],"study_design_scores_gemma":[0.0000197986,0.000408225,0.03417227,0.006275209,0.0001422307,0.001648876,0.1668055,0.0172515,0.004033384,0.1807323,0.5883312,0.0001795251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3724616,0.05112389,0.02986907,0.221793,0.002094021,0.0002463785,0.0005133054,0.0001401046,0.3217587],"genre_scores_gemma":[0.9275942,0.04388126,0.009168121,0.003417544,0.0003707911,0.0001137275,0.0001474863,0.00004376953,0.01526318],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009019235,"threshold_uncertainty_score":0.02291691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045734182","doi":"10.1016/j.trip.2020.100171","title":"Vulnerability assessment of Alberta's provincial highway network","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Vulnerability (computing); Emergency management; Interim; Vulnerability assessment; Population; Environmental planning; Business; Transport engineering; Geography; Environmental resource management; Engineering; Computer security; Computer science; Environmental science; Economic growth","authors":[{"name":"Kasturi Mahajan","is_ca":true},{"name":"Amy Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02920508802231323,"gpt":0.3633534117646441,"spread":0.3341483237423309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005529349,0.000361158,0.0001530592,0.003466247,0.00155591,0.001513378,0.0006795187,0.0002943195,0.001408749],"category_scores_gemma":[0.002179439,0.0001179955,0.0002441118,0.003791919,0.0005599548,0.0004352089,0.001070165,0.0002392941,0.0001000241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01505223,"about_ca_system_score_gemma":0.007917225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.916265,"about_ca_topic_score_gemma":0.9428331,"domain_scores_codex":[0.9995136,0.00007198415,0.00001092086,0.00003551585,0.0002078739,0.000159964],"domain_scores_gemma":[0.9990503,0.0001791653,0.000103173,0.00004611468,0.0005031837,0.0001180321],"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":[0.0002483354,0.00009407321,0.6190773,0.0001101988,0.0001420496,0.001188008,0.002978573,0.2858694,0.001812086,0.02171549,0.009507553,0.05725686],"study_design_scores_gemma":[0.00001491275,0.00007953888,0.5752738,0.00008723157,0.00007899007,0.0004086721,0.01566233,0.3876938,0.001116547,0.007802516,0.01172269,0.00005889552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733037,0.0001623862,0.002933417,0.0002791194,0.000009214335,0.0001077579,0.001887906,0.00005767622,0.02125878],"genre_scores_gemma":[0.9950055,0.0001371325,0.001428768,0.00001279339,0.000002343706,0.00001917885,0.001055331,0.000005357492,0.002333536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08373499,"threshold_uncertainty_score":0.1684562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212905284","doi":"10.1016/j.trip.2022.100567","title":"Impact of mobility on COVID-19 spread – A time series analysis","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Coronavirus disease 2019 (COVID-19); Public transport; Lag; Pandemic; Time lag; Term (time); Demographic economics; Statistical analysis; 2019-20 coronavirus outbreak; Control (management); Geography; Lag time; Transit (satellite); Business; Demography; Statistics; Transport engineering; Medicine; Computer science; Mathematics; Economics; Engineering; Sociology; Outbreak","authors":[{"name":"Faraz Zargari","is_ca":false},{"name":"Nima Aminpour","is_ca":true},{"name":"Mohammad Amir Ahmadian","is_ca":false},{"name":"Amir Samimi","is_ca":false},{"name":"Saeid Saidi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2665832175640875,"gpt":0.5536221620388737,"spread":0.2870389444747862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462871,0.0003273851,0.0003399899,0.001155085,0.0002218974,0.0007476549,0.000391526,0.0005219742,0.002269925],"category_scores_gemma":[0.004581202,0.0001021833,0.0007184247,0.001388137,0.000292673,0.0006613252,0.0005189701,0.0007106497,0.0002407252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928142,"about_ca_system_score_gemma":0.0003373498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008365504,"about_ca_topic_score_gemma":0.005102981,"domain_scores_codex":[0.9993411,0.0002383407,0.00005358808,0.0001242946,0.0001295085,0.0001131885],"domain_scores_gemma":[0.9978137,0.001041111,0.0007074089,0.0001252871,0.0002046711,0.0001077604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003479591,0.0002687944,0.901666,0.0001809448,0.0005733318,0.001484007,0.0007017484,0.05726805,0.001649003,0.004144593,0.001373823,0.03034174],"study_design_scores_gemma":[0.00001438076,0.0005001462,0.8152674,0.00007841089,0.0002221997,0.0005573254,0.001571285,0.1753415,0.0007615904,0.002147746,0.003484691,0.00005318804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928302,0.0008062207,0.003459675,0.0005839748,0.00003893522,0.00002861303,0.0006484615,0.00002441102,0.001579585],"genre_scores_gemma":[0.9981104,0.000317098,0.0005918033,0.00002051352,0.00002438809,0.00001052994,0.0004483692,0.000002683324,0.0004741584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008365504,"threshold_uncertainty_score":0.01663363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206092104","doi":"10.1016/j.trip.2021.100533","title":"Accessing hemodialysis clinics during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University Health Centre; Hôpital Maisonneuve-Rosemont; Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux","keywords":"Paratransit; Pandemic; Public transport; Descriptive statistics; Hemodialysis; Taxis; Coronavirus disease 2019 (COVID-19); Thematic analysis; Medical emergency; Medicine; Business; Psychology; Transport engineering; Engineering; Sociology; Qualitative research; Disease; Surgery; Statistics; Internal medicine","authors":[{"name":"Matthew P Beaudet","is_ca":true},{"name":"Léa Ravensbergen","is_ca":true},{"name":"James A. DeWeese","is_ca":true},{"name":"William Beaubien‐Souligny","is_ca":true},{"name":"Annie‐Claire Nadeau‐Fredette","is_ca":true},{"name":"Norka Rios","is_ca":true},{"name":"Marie-Line Caron","is_ca":true},{"name":"Rita S. Suri","is_ca":true},{"name":"Ahmed El-Geneidy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2306750792098312,"gpt":0.5580811009308707,"spread":0.3274060217210395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001760187,0.0001195527,0.0002163499,0.0002370092,0.002313655,0.001333461,0.000469697,0.0006366228,0.002350098],"category_scores_gemma":[0.007104193,0.0001386511,0.0003117266,0.000304314,0.0008702795,0.0009428342,0.001315519,0.0009814024,0.0001259454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00303498,"about_ca_system_score_gemma":0.003676007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0447747,"about_ca_topic_score_gemma":0.08886111,"domain_scores_codex":[0.9983175,0.000754948,0.00009802647,0.0001016283,0.000266698,0.0004612282],"domain_scores_gemma":[0.9958969,0.001252661,0.00131239,0.00008674627,0.0004066703,0.001044701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00024761,0.000250147,0.8186567,0.0004178409,0.0001056569,0.0025475,0.1103841,0.0003212983,0.001785398,0.001019136,0.009411031,0.05485361],"study_design_scores_gemma":[0.00002346581,0.0003995539,0.7047397,0.0005142204,0.00006456018,0.001931316,0.2735355,0.0005254849,0.0004266697,0.0006752618,0.01708571,0.00007851628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918827,0.0006502729,0.0003442687,0.003432173,0.00004636188,0.00004232625,0.0001042159,0.00001650904,0.003481178],"genre_scores_gemma":[0.9977648,0.0005340147,0.0002316238,0.001085373,0.00002992132,0.00001667677,0.00003900158,0.000002830961,0.000295638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0447747,"threshold_uncertainty_score":0.08902818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361275016","doi":"10.1016/j.trip.2023.100815","title":"Understanding the travel challenges and gaps for older adults during the COVID-19 outbreak: Insights from the New York City area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"York University; University Transportation Centers; Paralyzed Veterans of America; New York University; U.S. Department of Transportation","keywords":"TRIPS architecture; Pandemic; Travel behavior; Context (archaeology); Descriptive statistics; Business; Population; Gerontology; Coronavirus disease 2019 (COVID-19); Psychology; Geography; Demographic economics; Medicine; Environmental health; Transport engineering; Engineering; Economics; Disease","authors":[{"name":"Jingqin Gao","is_ca":false},{"name":"Change Dae Lee","is_ca":false},{"name":"Kaan Özbay","is_ca":false},{"name":"Fan Zuo","is_ca":false},{"name":"Tracy L. Chippendale","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2493448693795864,"gpt":0.4214656365077563,"spread":0.1721207671281699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000976089,0.0002328548,0.0002808751,0.0009379618,0.001345277,0.001178983,0.0003951969,0.0006404821,0.001598007],"category_scores_gemma":[0.002712856,0.0001815742,0.0003485044,0.001144701,0.0004544446,0.00195331,0.001660011,0.001018462,0.0001742507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546612,"about_ca_system_score_gemma":0.00270737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1216204,"about_ca_topic_score_gemma":0.2966366,"domain_scores_codex":[0.9996496,0.0001086598,0.00003820471,0.0000483969,0.00004869241,0.0001062722],"domain_scores_gemma":[0.9987015,0.0003402414,0.0003977414,0.00003709424,0.0002516877,0.0002718026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009931549,0.0002374303,0.8096038,0.0004982796,0.00005475587,0.001230099,0.1494962,0.0002678681,0.0007421944,0.0003953092,0.00543431,0.03194033],"study_design_scores_gemma":[0.000004774264,0.0001104962,0.7120072,0.0003549512,0.00002300458,0.000228516,0.2804747,0.0005498211,0.0000821143,0.0002278657,0.005913175,0.00002343092],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957914,0.0005077118,0.0001174357,0.001899864,0.00001392578,0.00003286628,0.0005094184,0.000002542226,0.001124733],"genre_scores_gemma":[0.9956412,0.001508994,0.0004470476,0.0007114999,0.00003146337,0.00008741568,0.0008003547,0.000004131838,0.0007677947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216204,"threshold_uncertainty_score":0.241825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322603895","doi":"10.1016/j.trip.2023.100783","title":"The utility of cognitive testing to predict real world commercial driving risk","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Cognition; Judgement; Driving simulator; Computer science; Classifier (UML); Advanced driver assistance systems; Simulation; Artificial intelligence; Engineering; Psychology","authors":[{"name":"Daniel Scott","is_ca":false},{"name":"Alice Elizabeth Atkin","is_ca":true},{"name":"Aaron Granley","is_ca":false},{"name":"Anthony Singhal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1252484575594969,"gpt":0.4996494841006152,"spread":0.3744010265411183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002085856,0.0007740972,0.0002992997,0.002639817,0.0002958138,0.001316854,0.0007053972,0.0008163269,0.001755532],"category_scores_gemma":[0.01330554,0.0001882691,0.0006658743,0.0006925552,0.0004664827,0.001070627,0.0008292916,0.0008328077,0.0006969075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947969,"about_ca_system_score_gemma":0.0004303394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890161,"about_ca_topic_score_gemma":0.006039261,"domain_scores_codex":[0.9989564,0.0002320871,0.0001306705,0.0001699742,0.0003844452,0.0001264561],"domain_scores_gemma":[0.9918159,0.002440353,0.002472555,0.0005163934,0.00193758,0.000817256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001347778,0.000100123,0.9923251,0.00001492884,0.00004353554,0.00005714017,0.00007837742,0.0002808131,0.0001495282,0.00005038031,0.0002520832,0.006513296],"study_design_scores_gemma":[0.000004860498,0.0005057809,0.9940314,0.00002845666,0.00003597668,0.0002689039,0.0002107051,0.003886795,0.0004205462,0.0002524225,0.0003381148,0.00001606975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958813,0.0002155944,0.0007115382,0.00009078417,0.00001900183,0.00004007371,0.0004741202,0.00003986008,0.002527722],"genre_scores_gemma":[0.9986497,0.00009456511,0.0004801735,0.00002124913,0.000009142243,0.00001963362,0.0004066881,0.000004098033,0.0003147808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005890161,"threshold_uncertainty_score":0.01171178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367186203","doi":"10.1016/j.trip.2023.100822","title":"How do drivers allocate visual attention to vulnerable road users when turning at urban intersections?","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Gaze; Pedestrian; Transport engineering; Eye tracking; Computer science; Geography; Engineering; Artificial intelligence","authors":[{"name":"Joelle Girgis","is_ca":true},{"name":"Mattea Powell","is_ca":true},{"name":"Birsen Donmez","is_ca":true},{"name":"Jay Pratt","is_ca":true},{"name":"Paul Hess","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03163968812257727,"gpt":0.3361393735073084,"spread":0.3044996853847312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005643888,0.0001854355,0.0002377445,0.0008793942,0.0002735284,0.0010865,0.0002915718,0.0005032903,0.001107829],"category_scores_gemma":[0.004287316,0.000168449,0.0001874305,0.000480813,0.000288987,0.0008998931,0.0004711443,0.0002701361,0.0003483949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401074,"about_ca_system_score_gemma":0.0002303538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261566,"about_ca_topic_score_gemma":0.02371323,"domain_scores_codex":[0.9996389,0.00007363005,0.00002182232,0.0001129583,0.00005506837,0.00009766516],"domain_scores_gemma":[0.9988431,0.0003314425,0.0003723661,0.00008858123,0.0002675853,0.00009703198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002530359,0.00006588269,0.9567921,0.00009367678,0.00009394749,0.0001114893,0.003624931,0.0003649277,0.002970081,0.0001908747,0.0009975551,0.03444158],"study_design_scores_gemma":[0.000002016696,0.00004260819,0.9955962,0.00001409412,0.00001608032,0.00006946755,0.002567458,0.0005870492,0.000249509,0.0001916876,0.0006561473,0.000007578441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975234,0.0002421769,0.0004782644,0.0001396294,0.000007708757,0.00001251042,0.0002472473,0.00001007077,0.001339021],"genre_scores_gemma":[0.9991641,0.0001488832,0.0001763238,0.00003980727,0.000007412841,0.000009715917,0.0001962535,0.000004384764,0.000253156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261566,"threshold_uncertainty_score":0.02508444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366813491","doi":"10.1016/j.trip.2023.100825","title":"An archetypal routing network model to help identify potential charging locations for long-haul electric vehicles in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Truck; Electricity; Greenhouse gas; Peak demand; Transport engineering; Environmental science; Grid; Routing (electronic design automation); Electricity demand; Electric vehicle; Engineering; Automotive engineering; Power (physics); Electricity generation; Electrical engineering; Geography","authors":[{"name":"Terence Dimatulac","is_ca":true},{"name":"Hanna Maoh","is_ca":true},{"name":"Rupp Carriveau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02900492393905144,"gpt":0.335021717335015,"spread":0.3060167933959635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209412,0.0005822307,0.0003262485,0.0006210144,0.0009217875,0.001036938,0.001482736,0.000596049,0.003838738],"category_scores_gemma":[0.001131319,0.0003388809,0.0004679631,0.0009805639,0.000527873,0.0005479097,0.0006490951,0.0004783167,0.0003396264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01202783,"about_ca_system_score_gemma":0.007414839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8980034,"about_ca_topic_score_gemma":0.9084982,"domain_scores_codex":[0.9998043,0.00003637192,0.000005176624,0.00004281909,0.00003468449,0.00007674337],"domain_scores_gemma":[0.9996443,0.00009572296,0.0000394608,0.00001315047,0.000172869,0.00003448858],"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":[0.00002775099,0.00001410388,0.003830064,0.00001361912,0.000006940341,0.00007582572,0.00004115219,0.9842833,0.0001782239,0.004726677,0.00240869,0.004393636],"study_design_scores_gemma":[0.000004020549,0.000003494229,0.0007272762,0.000002381106,0.000004395411,0.000008980691,0.0000482519,0.9976798,0.0000273132,0.0006413494,0.0008495644,0.000003342673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207428,0.0007793698,0.1872564,0.003475816,0.0001346469,0.0003447132,0.009674818,0.0007100644,0.07688139],"genre_scores_gemma":[0.9583339,0.0003655569,0.01807747,0.0000866149,0.00001671184,0.00005692774,0.00225831,0.00003746966,0.02076707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019966,"threshold_uncertainty_score":0.2051945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012420745","doi":"10.1016/j.trip.2020.100105","title":"Application of tablet-based cognitive tasks to predict unsafe drivers in older adults","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognition; Population; Cognitive test; Human factors and ergonomics; Medicine; Psychology; Poison control; Medical emergency; Environmental health; Psychiatry","authors":[{"name":"Reyhaneh Bakhtiari","is_ca":true},{"name":"Michelle V. Tomczak","is_ca":true},{"name":"Stephen D. Langor","is_ca":true},{"name":"Joanna E. M. Scanlon","is_ca":true},{"name":"Aaron Granley","is_ca":true},{"name":"Anthony Singhal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05965434609810948,"gpt":0.4636489086443185,"spread":0.403994562546209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197998,0.0006513728,0.0004567456,0.001296057,0.0002681291,0.0005558605,0.0002892353,0.0005936535,0.0008075671],"category_scores_gemma":[0.004937674,0.0002071222,0.0004847751,0.0003687436,0.0001356625,0.0004166381,0.0005100534,0.0003264053,0.0004183875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673807,"about_ca_system_score_gemma":0.0001869249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004312284,"about_ca_topic_score_gemma":0.006718836,"domain_scores_codex":[0.9995098,0.0001460938,0.00007852951,0.0001010249,0.0001256604,0.00003881599],"domain_scores_gemma":[0.9981699,0.0006102448,0.0005802221,0.0001047345,0.0003806354,0.0001542329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001925306,0.000658009,0.947858,0.00008823243,0.0001615772,0.0001382396,0.0003803186,0.0008031449,0.001590876,0.00002662665,0.000511875,0.04585785],"study_design_scores_gemma":[0.0001148597,0.002285312,0.9830231,0.00004894843,0.00008355228,0.0006302666,0.0003793941,0.01161787,0.001241276,0.0002126075,0.0003288737,0.00003388002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985704,0.0001071487,0.0004406226,0.00002278408,0.000007586886,0.00009229216,0.0002920036,0.00002613625,0.0004408843],"genre_scores_gemma":[0.9976479,0.0001171265,0.001596947,0.00003913483,0.000008814187,0.00006187993,0.000274925,0.000002117374,0.000251153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004312284,"threshold_uncertainty_score":0.008574367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200211542","doi":"10.1016/j.trip.2021.100522","title":"Integrating COVID-19 health risks into crowding costs for transit schedule planning","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Pandemic; Crowding; Context (archaeology); Headway; Transport engineering; Transit (satellite); Computer science; Coronavirus disease 2019 (COVID-19); Business; Operations research; Engineering; Geography; Medicine; Infectious disease (medical specialty)","authors":[{"name":"Kaushan W. Devasurendra","is_ca":true},{"name":"Saeid Saidi","is_ca":true},{"name":"S. C. Wirasinghe","is_ca":true},{"name":"Lina Kattan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2274262929112158,"gpt":0.5632177025920551,"spread":0.3357914096808392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479742,0.0009281461,0.0008007922,0.001454449,0.0007492204,0.002094021,0.001238245,0.001524145,0.003748042],"category_scores_gemma":[0.005577624,0.00075122,0.001028619,0.001253612,0.0008117256,0.001890205,0.001332849,0.001581235,0.0001573474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003758498,"about_ca_system_score_gemma":0.003477201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03483715,"about_ca_topic_score_gemma":0.0413444,"domain_scores_codex":[0.999055,0.0004628322,0.00003757813,0.0001040651,0.0001779327,0.0001625249],"domain_scores_gemma":[0.9977289,0.001593771,0.0002118801,0.00005706745,0.0002784917,0.0001299725],"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":[0.000009276016,0.00002337686,0.0009277507,0.00002333298,0.00001002733,0.00003783399,0.00003507723,0.9870715,0.0000892701,0.007760571,0.000144128,0.00386794],"study_design_scores_gemma":[0.000002488183,0.00002491354,0.0004339431,0.00001563589,0.00001429452,0.00001612139,0.00009322869,0.9948364,0.0001028313,0.004007281,0.000442012,0.00001083619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190105,0.001149509,0.788159,0.001349362,0.0001472687,0.00037167,0.0005257041,0.0001032186,0.01808933],"genre_scores_gemma":[0.9344038,0.0006561019,0.06054728,0.00006123564,0.0000508824,0.0001928761,0.0001632539,0.00005123548,0.003873392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03483715,"threshold_uncertainty_score":0.06926876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404233537","doi":"10.1016/j.trip.2024.101271","title":"Implications of carbon pricing on food affordability and agri-food sector in Canada: A scoping review","year":2024,"lang":"en","type":"review","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada; University of Toronto; Cape Breton University; Dalhousie University","funders":"","keywords":"Food sector; Business; Agricultural economics; Natural resource economics; Public economics; Marketing; Environmental economics; Economics; Agriculture; Geography","authors":[{"name":"Sylvain Charlebois","is_ca":true},{"name":"Swati Saxena","is_ca":true},{"name":"Gumataw Kifle Abebe","is_ca":true},{"name":"Tony R. ‎Walker","is_ca":true},{"name":"Janet Music","is_ca":true},{"name":"Vlado Kešelj","is_ca":true},{"name":"Karim Tuffaha","is_ca":true},{"name":"Keshava Pallavi Gone","is_ca":true},{"name":"Janèle Vézeau","is_ca":true},{"name":"Bibhuti Sarker","is_ca":true},{"name":"Stacey Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06828781908876097,"gpt":0.3979110238162571,"spread":0.3296232047274961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002979895,0.001040585,0.001884333,0.008373146,0.001465794,0.003919159,0.001237686,0.001485419,0.003605841],"category_scores_gemma":[0.009689103,0.0004675925,0.001833823,0.01791902,0.001185495,0.001679129,0.001070251,0.001441543,0.0002777491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01764999,"about_ca_system_score_gemma":0.07859793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6089801,"about_ca_topic_score_gemma":0.7654425,"domain_scores_codex":[0.9986785,0.0002065022,0.0002064525,0.0001373975,0.0006200012,0.0001511324],"domain_scores_gemma":[0.9926939,0.003788203,0.0006823146,0.00008654341,0.002533251,0.0002156977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001245894,0.00005705848,0.002341555,0.3163988,0.001058391,0.0002914182,0.0007948973,0.001109672,0.0004708809,0.01099628,0.03103825,0.6353182],"study_design_scores_gemma":[0.00002383755,0.00007127132,0.01255271,0.3597633,0.004528698,0.0004903166,0.001362446,0.0004016382,0.0005062536,0.002772272,0.6174423,0.00008502365],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00025857,0.9980634,0.00003596861,0.0004839083,0.00007929285,0.00001210907,0.00009474359,0.000002296768,0.0009697544],"genre_scores_gemma":[0.002459663,0.9971166,0.00007158724,0.000154308,0.0000207751,0.000008192044,0.00004879219,0.000001194272,0.000118903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3910199,"threshold_uncertainty_score":0.7866454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408329252","doi":"10.1016/j.trip.2024.101254","title":"A systematic review of data privacy in Mobility as a Service (MaaS)","year":2025,"lang":"en","type":"review","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal; Université de Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Internet privacy; Service (business); Computer security; Business","authors":[{"name":"Zineb Garroussi","is_ca":true},{"name":"Antoine Legrain","is_ca":true},{"name":"Sébastien Gambs","is_ca":true},{"name":"Vincent Gautrais","is_ca":true},{"name":"Brunilde Sansò","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.149669648323056,"gpt":0.4910679020131937,"spread":0.3413982536901377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01225525,0.00121304,0.004150808,0.01044793,0.001045386,0.003675855,0.002360523,0.002457281,0.005383815],"category_scores_gemma":[0.06761388,0.0009321265,0.006116441,0.0123507,0.001559067,0.004396144,0.002384786,0.00199097,0.0007501091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004080922,"about_ca_system_score_gemma":0.02831133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035216,"about_ca_topic_score_gemma":0.02282766,"domain_scores_codex":[0.986766,0.004918183,0.004555155,0.0007887395,0.00264497,0.0003269825],"domain_scores_gemma":[0.9417974,0.04517517,0.006433806,0.001116029,0.005006061,0.0004715893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001058049,0.00002376014,0.0005605283,0.8228669,0.001556611,0.0001611663,0.0005314836,0.0003089895,0.000247915,0.002436805,0.007320788,0.1638792],"study_design_scores_gemma":[0.00004797399,0.0001244316,0.0013434,0.8634463,0.006610817,0.0004607856,0.0004251093,0.00008331927,0.0002138093,0.001373371,0.1258367,0.00003409618],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004167361,0.9966328,0.0005689138,0.0008492598,0.0001614213,0.0001699214,0.0003449406,0.000009990568,0.0008461284],"genre_scores_gemma":[0.003797549,0.9935485,0.001083039,0.0007593515,0.00007455241,0.0003256486,0.0002502451,0.000007024202,0.0001541196],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01225525,"threshold_uncertainty_score":0.06481272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413859589","doi":"10.1016/j.trip.2025.101591","title":"State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"University of Sharjah","keywords":"State (computer science); Computer science; Aeronautics; Artificial intelligence; Engineering; Systems engineering","authors":[{"name":"Lubna Obaid","is_ca":false},{"name":"Khaled Hamad","is_ca":false},{"name":"Rami Al‐Ruzouq","is_ca":false},{"name":"Saleh Abu Dabous","is_ca":false},{"name":"Karim Ismail","is_ca":true},{"name":"Emran Alotaibi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.104241656522443,"gpt":0.4100342950957674,"spread":0.3057926385733245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410026,0.0009007381,0.001231301,0.003827517,0.0003271686,0.001669812,0.0008806625,0.0009481402,0.00286506],"category_scores_gemma":[0.00295735,0.000477511,0.0008066634,0.0052917,0.0004822619,0.001875014,0.0005471652,0.0007694223,0.0009873868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006218368,"about_ca_system_score_gemma":0.002118101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837007,"about_ca_topic_score_gemma":0.002693288,"domain_scores_codex":[0.9992837,0.0001789586,0.0001237675,0.0001123486,0.0002622795,0.00003892274],"domain_scores_gemma":[0.9968838,0.002202532,0.0002759649,0.00007034384,0.0005058818,0.00006144932],"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":[0.00006148556,0.00008314031,0.0008927913,0.04261987,0.0002404827,0.0002158565,0.000208386,0.002369948,0.00254497,0.006951788,0.02067333,0.923138],"study_design_scores_gemma":[0.0000115621,0.0002880957,0.003913656,0.01533577,0.0005871035,0.0008761259,0.0003556775,0.001829808,0.002229546,0.004655966,0.9698529,0.00006384692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006055923,0.9958124,0.001101593,0.0003418276,0.0002014468,0.000008617391,0.00003655853,0.00001156419,0.001880403],"genre_scores_gemma":[0.002546069,0.995734,0.001033526,0.0001239378,0.0002392629,0.000009752522,0.00004290839,0.000003113685,0.0002674223],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003827517,"threshold_uncertainty_score":0.009584546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210820160","doi":"10.1016/j.trip.2021.100516","title":"Low audibility of trains may contribute to increased collisions with wildlife","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Innotech Alberta; Alberta Innovates; University of Alberta; Parks Canada","keywords":"Train; Context (archaeology); Wildlife; Track (disk drive); Environmental science; Collision; Visibility; Meteorology; Geodesy; Computer science; Geography; Ecology; Cartography","authors":[{"name":"Jonathan A.J. Backs","is_ca":true},{"name":"John A. Nychka","is_ca":true},{"name":"Colleen Cassady St. Clair","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.029360466016365,"gpt":0.3502617043885199,"spread":0.3209012383721549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007049677,0.0004500375,0.0003976596,0.001056535,0.0005394665,0.001432301,0.0005786617,0.0007250762,0.0045126],"category_scores_gemma":[0.004793914,0.0003239948,0.000453903,0.0007162782,0.0005742974,0.0007310254,0.001037544,0.0004563964,0.0004744873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281393,"about_ca_system_score_gemma":0.0003633695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007641031,"about_ca_topic_score_gemma":0.01189477,"domain_scores_codex":[0.9994449,0.0001427084,0.00004662366,0.0001160008,0.0001525993,0.00009718986],"domain_scores_gemma":[0.9962897,0.001493529,0.001443883,0.0002104056,0.0003588136,0.0002036804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001869313,0.0001304508,0.9660189,0.0001359722,0.0001568863,0.0004897392,0.0006916457,0.004457582,0.008897736,0.0002391352,0.0002371028,0.0183578],"study_design_scores_gemma":[0.000003097197,0.0003107662,0.9920058,0.00003219425,0.00006148792,0.0005278059,0.0008528729,0.003592044,0.001268926,0.0005626524,0.0007589845,0.00002346139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923692,0.000212025,0.005180338,0.00007203475,0.00001470628,0.00001686568,0.000104896,0.0000485559,0.001981438],"genre_scores_gemma":[0.9983753,0.0001010355,0.0008162052,0.00001844244,0.000008664793,0.000008288063,0.0001049774,0.000009594391,0.0005574791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007641031,"threshold_uncertainty_score":0.0151931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404027709","doi":"10.1016/j.trip.2024.101261","title":"Using crowd-sourced traffic data and open-source tools for urban congestion analysis","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"United Arab Emirates University; Google","keywords":"Open source; Traffic congestion; Computer science; Open data; Transport engineering; World Wide Web; Engineering","authors":[{"name":"Khaula Alkaabi","is_ca":false},{"name":"Mohsin Raza","is_ca":false},{"name":"Esra Qasemi","is_ca":false},{"name":"Hafsah Alderei","is_ca":false},{"name":"Mazoun Alderei","is_ca":false},{"name":"Sharina Almheiri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1630023393292128,"gpt":0.4419747283155026,"spread":0.2789723889862897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008381182,0.00152544,0.0007991894,0.009094061,0.001496746,0.004751523,0.001736776,0.001126135,0.005136767],"category_scores_gemma":[0.03575442,0.0005267567,0.0015732,0.008057123,0.001309545,0.00569258,0.005375221,0.001447937,0.002139959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743814,"about_ca_system_score_gemma":0.004025756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237313,"about_ca_topic_score_gemma":0.0220471,"domain_scores_codex":[0.9921222,0.003589937,0.0005253584,0.001217968,0.002146926,0.0003975208],"domain_scores_gemma":[0.970745,0.01306761,0.00365905,0.005314451,0.006151299,0.001062727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009131652,0.001013019,0.1243379,0.005243497,0.001155278,0.002079211,0.01391393,0.1346236,0.006637696,0.07217533,0.1192686,0.5186388],"study_design_scores_gemma":[0.0002795178,0.0005565893,0.08105391,0.003219386,0.0004597052,0.0006595362,0.02774204,0.4627621,0.01225093,0.1357061,0.2743262,0.0009838613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2735399,0.001779515,0.506344,0.008585854,0.001617312,0.00488422,0.07175953,0.02764005,0.1038497],"genre_scores_gemma":[0.7170285,0.0009055543,0.2355511,0.0006487428,0.0002934228,0.002776348,0.03386456,0.002196658,0.006735087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02237313,"threshold_uncertainty_score":0.04448581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401628471","doi":"10.1016/j.trip.2024.101201","title":"Clustering bike sharing stations using Quantum Machine Learning: A case study of Toronto, Canada","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Cluster analysis; Computer science; Bike sharing; Artificial intelligence; Machine learning; Transport engineering; Engineering","authors":[{"name":"Amirhossein Nourbakhsh","is_ca":true},{"name":"Mojgan Jadidi","is_ca":true},{"name":"Kyarash Shahriari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07006281606277118,"gpt":0.42576447173357,"spread":0.3557016556707988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008295437,0.0007270759,0.00047598,0.001188457,0.005440705,0.001620997,0.002100592,0.001530635,0.004455375],"category_scores_gemma":[0.002415122,0.000269142,0.0005935212,0.005386223,0.001671467,0.0009374512,0.0008888142,0.0007542066,0.0004875231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0245767,"about_ca_system_score_gemma":0.01539294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9409819,"about_ca_topic_score_gemma":0.9652008,"domain_scores_codex":[0.998916,0.0001978533,0.00004401326,0.0001763054,0.0003230289,0.0003426983],"domain_scores_gemma":[0.9983485,0.0004567344,0.00008028207,0.0001495959,0.0006608529,0.000303994],"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":[0.001082958,0.001001348,0.1021766,0.0009579248,0.0004571292,0.01511775,0.007829573,0.6524845,0.007488761,0.04179073,0.04067993,0.1289328],"study_design_scores_gemma":[0.0002571086,0.0005309365,0.1256839,0.0001520617,0.0002324833,0.0009563598,0.03391071,0.7607731,0.006167353,0.007665651,0.06342081,0.0002494754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519371,0.0006076433,0.01521654,0.001826668,0.00005584622,0.000504296,0.002365266,0.00036837,0.02711828],"genre_scores_gemma":[0.980001,0.0003198971,0.008440071,0.0001065141,0.000008588907,0.00006264736,0.001375322,0.00004477008,0.009641112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05901808,"threshold_uncertainty_score":0.1783173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399913326","doi":"10.1016/j.trip.2024.101143","title":"Influence of public transport training for people with disabilities: Protocol for a systematic review","year":2024,"lang":"en","type":"review","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Protocol (science); Training (meteorology); Psychology; Public transport; Applied psychology; Medical education; Physical medicine and rehabilitation; Medicine; Alternative medicine; Engineering; Transport engineering; Geography","authors":[{"name":"Claudel R Mwaka","is_ca":true},{"name":"Krista L. Best","is_ca":true},{"name":"Martine Gagnon","is_ca":true},{"name":"François Routhier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2337024966050188,"gpt":0.5391778001086314,"spread":0.3054753035036126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06878677,0.006145209,0.01974672,0.01143541,0.004140455,0.00718267,0.004022476,0.006999161,0.09030876],"category_scores_gemma":[0.09296171,0.005544792,0.01965086,0.0109513,0.004272334,0.009624721,0.005007516,0.00688061,0.00873288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01546255,"about_ca_system_score_gemma":0.05277955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008214704,"about_ca_topic_score_gemma":0.01441827,"domain_scores_codex":[0.9700925,0.01116418,0.009828004,0.002675721,0.004572323,0.00166729],"domain_scores_gemma":[0.9551381,0.0172593,0.009278613,0.004681583,0.01210689,0.001535499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.009035926,0.0003913874,0.0006084476,0.9156476,0.00387116,0.0004836988,0.001557205,0.0008987271,0.001459355,0.004310417,0.03013616,0.03159999],"study_design_scores_gemma":[0.07618622,0.00337315,0.007251278,0.656599,0.0207146,0.0006593344,0.002814253,0.001765211,0.002879755,0.01605683,0.2109089,0.0007914891],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002981193,0.001602182,0.0008616205,0.0002654926,0.0002632535,0.9935014,0.002805865,0.00007417471,0.0003278959],"genre_scores_gemma":[0.0002609153,0.0005864733,0.001230391,0.0001234272,0.00001691896,0.9973557,0.0002383183,0.00000594658,0.0001819769],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.09030876,"threshold_uncertainty_score":0.3637835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404060408","doi":"10.1016/j.trip.2024.101267","title":"Decision support tools for effective bus fleet electrification: Replacement factors and fleet size prediction","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Fleet management; Computer science; Decision support system; Transport engineering; Operations research; Engineering; Artificial intelligence; Electricity; Electrical engineering","authors":[{"name":"Kareem Othman","is_ca":true},{"name":"Diego Da Silva","is_ca":true},{"name":"Amer Shalaby","is_ca":true},{"name":"Baher Abdulhai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02164961055096322,"gpt":0.3419965790245587,"spread":0.3203469684735955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002344463,0.001348633,0.001006712,0.002522601,0.000446031,0.001620329,0.0008862549,0.001079824,0.003048083],"category_scores_gemma":[0.009877071,0.0005287968,0.0008007857,0.001368733,0.0002774561,0.001449125,0.0007168022,0.001162306,0.0004461495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292757,"about_ca_system_score_gemma":0.001842361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375024,"about_ca_topic_score_gemma":0.01569524,"domain_scores_codex":[0.9993963,0.0002623436,0.00005390263,0.000108356,0.0001129726,0.00006623405],"domain_scores_gemma":[0.9931517,0.005425646,0.0005853514,0.00009415756,0.0005896345,0.0001536204],"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":[0.0001212348,0.0001952082,0.008236218,0.00009779543,0.00005445441,0.00008783682,0.00005911128,0.9220334,0.000412002,0.002188106,0.001720418,0.06479431],"study_design_scores_gemma":[0.000005513461,0.00001848606,0.0004676734,0.00001206488,0.000005373926,0.000005072394,0.00002425537,0.9982187,0.0001636915,0.0009125383,0.0001617486,0.000004847679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601192,0.0007371667,0.7240455,0.001863693,0.00007718294,0.0003992557,0.002680449,0.002983194,0.007094418],"genre_scores_gemma":[0.8949071,0.0003524934,0.1020127,0.00009866608,0.00004314769,0.000209417,0.00118544,0.00004370546,0.0011475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02375024,"threshold_uncertainty_score":0.04722399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410266979","doi":"10.1016/j.trip.2025.101463","title":"Synthetic multi-criteria decision analysis (S-MCDA): A new framework for participatory transportation planning","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec; Environment and Climate Change Canada; Canada Research Coordinating Committee","keywords":"Multiple-criteria decision analysis; Decision analysis; Citizen journalism; Transportation planning; Management science; Computer science; Environmental planning; Operations research; Engineering; Geography; Transport engineering; Economics","authors":[{"name":"Jônatas Augusto Manzolli","is_ca":true},{"name":"Jiangbo Yu","is_ca":true},{"name":"Luis Miranda-Moreno","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1375308183778567,"gpt":0.5207127029020053,"spread":0.3831818845241486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04140905,0.002306706,0.00237708,0.007965747,0.003245417,0.008363238,0.004906979,0.002842547,0.004950595],"category_scores_gemma":[0.04170159,0.001157666,0.004403498,0.007800413,0.009096608,0.004930065,0.009488962,0.004769234,0.0005940764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00705054,"about_ca_system_score_gemma":0.01183831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007862069,"about_ca_topic_score_gemma":0.01053611,"domain_scores_codex":[0.9307789,0.05522767,0.002796192,0.003340912,0.007185774,0.0006705257],"domain_scores_gemma":[0.95609,0.0337547,0.002621952,0.003487394,0.002991302,0.001054651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006600414,0.00009083145,0.001172534,0.001317724,0.000392532,0.000256964,0.002165234,0.1825751,0.001081131,0.7442777,0.0044506,0.06215374],"study_design_scores_gemma":[0.00004921988,0.00006438403,0.0002168736,0.0005558217,0.0000622372,0.0001102734,0.0006236426,0.2218689,0.0006111652,0.7388245,0.03691451,0.00009846779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001202021,0.0005088055,0.9920316,0.001262857,0.00008106088,0.0004655532,0.000264018,0.0001305442,0.004053452],"genre_scores_gemma":[0.04945283,0.0004786625,0.9477356,0.0002271195,0.00006043727,0.001115288,0.0002862767,0.00006517809,0.0005785117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04140905,"threshold_uncertainty_score":0.2189947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408386867","doi":"10.1016/j.trip.2025.101381","title":"Examining the influence of personal-time-based accessibility on the frequency of public transit use among older adults across Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"National Research Council Canada; Fonds de Recherche du Québec-Société et Culture; National Research Council","keywords":"Public transport; Transit (satellite); Gerontology; Psychology; Business; Medicine; Transport engineering; Engineering","authors":[{"name":"Meredith Alousi-Jones","is_ca":true},{"name":"Ahmed El-Geneidy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0622704336733353,"gpt":0.3893758277243806,"spread":0.3271053940510453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001173666,0.0003304197,0.0004663841,0.001855838,0.002984193,0.001545343,0.00140972,0.0003397684,0.002119403],"category_scores_gemma":[0.005170551,0.0003000122,0.001062308,0.004826342,0.0007377224,0.0005778416,0.001451152,0.0007448696,0.0001577636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0280556,"about_ca_system_score_gemma":0.03904195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967932,"about_ca_topic_score_gemma":0.9980757,"domain_scores_codex":[0.9987809,0.00009098469,0.0001066747,0.0001603691,0.0004556203,0.0004054327],"domain_scores_gemma":[0.9943515,0.0003870472,0.0009863258,0.0001344284,0.002868135,0.001272531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003556196,0.00002524189,0.9920251,0.00005227709,0.00004451783,0.00004412104,0.001962239,0.00007871263,0.00007454175,0.0001299548,0.0005716761,0.004956146],"study_design_scores_gemma":[0.000002253916,0.00001458122,0.9959556,0.0000400793,0.0000231006,0.00001588541,0.003106688,0.0001997971,0.00002507773,0.0000144664,0.0005939393,0.000008402616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934117,0.0005577039,0.0001437358,0.0004130985,0.00001240428,0.000056882,0.002719601,0.00001001229,0.002674687],"genre_scores_gemma":[0.997558,0.0004602923,0.0002176183,0.00007037181,0.000005104674,0.00002943353,0.0008891827,0.000003683658,0.0007662774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0280556,"threshold_uncertainty_score":0.2035585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408176909","doi":"10.1016/j.trip.2025.101375","title":"Underreporting and selection bias of serious road traffic injuries in auto insurance claims and police reports in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"BC Children's Hospital; Vancouver General Hospital; Provincial Health Services Authority; Simon Fraser University; Ministry of Health; Ministry of Transportation of Ontario; University of British Columbia; Island Health","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia","keywords":"Criminology; Selection bias; Selection (genetic algorithm); Road traffic; Insurance fraud; Business; Actuarial science; Political science; Transport engineering; Engineering; Psychology; Computer science; Statistics","authors":[{"name":"Michael Branion-Calles","is_ca":true},{"name":"Andrea Godfreyson","is_ca":true},{"name":"Kate Berniaz","is_ca":true},{"name":"Neil Arason","is_ca":true},{"name":"Herbert Chan","is_ca":true},{"name":"Shannon Erdelyi","is_ca":true},{"name":"Meghan Winters","is_ca":true},{"name":"Mohamed Essa","is_ca":true},{"name":"Fahra Rajabali","is_ca":true},{"name":"Jeffrey R. Brubacher","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01420159518403878,"gpt":0.3035099341483395,"spread":0.2893083389643007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01858832,0.0007175445,0.001236662,0.006909319,0.005326852,0.004210711,0.003712614,0.0007151537,0.002644822],"category_scores_gemma":[0.0612394,0.001108194,0.001230191,0.01660278,0.002046989,0.001216764,0.003834353,0.001245973,0.0003699453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04485232,"about_ca_system_score_gemma":0.07137591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958697,"about_ca_topic_score_gemma":0.9963174,"domain_scores_codex":[0.9698941,0.005931755,0.005597193,0.004292503,0.01008562,0.004198894],"domain_scores_gemma":[0.9235203,0.01054542,0.01835795,0.006205897,0.03818125,0.003189191],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006307433,0.00001591491,0.9812189,0.0002159067,0.0002555461,0.00009828174,0.001678711,0.0002999618,0.00006080272,0.0005835425,0.007202353,0.008306982],"study_design_scores_gemma":[0.00001559002,0.000009540337,0.9906924,0.0004933839,0.0001331216,0.00009039284,0.001576762,0.001275675,0.0001326869,0.0001851849,0.005351976,0.00004328881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068319,0.008520102,0.004287317,0.006328246,0.0003022322,0.0006967871,0.05886315,0.0001564423,0.01401379],"genre_scores_gemma":[0.9761013,0.00198897,0.002057682,0.00139332,0.00005955166,0.0003565651,0.01536414,0.00006149954,0.00261694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9814117,"threshold_uncertainty_score":0.3254278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399371626","doi":"10.1016/j.trip.2024.101116","title":"Using Facebook to Recruit Urban Participants for Smartphone-Based Travel Surveys","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada","funders":"University of New South Wales","keywords":"Social media; Advertising; Smartphone application; Internet privacy; Analytics; Population; Business; Marketing; Computer science; World Wide Web; Data science; Multimedia; Sociology","authors":[{"name":"Amarin Siripanich","is_ca":false},{"name":"Taha Hossein Rashidi","is_ca":false},{"name":"Shankari Kalyanaraman","is_ca":false},{"name":"S. Travis Waller","is_ca":true},{"name":"Meead Saberi","is_ca":false},{"name":"Vinayak Dixit","is_ca":false},{"name":"Divya Nair","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3227525211160218,"gpt":0.5347851333266832,"spread":0.2120326122106614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005047619,0.000489638,0.0003061856,0.001465336,0.003446189,0.001413514,0.0006706777,0.0006923553,0.01061293],"category_scores_gemma":[0.0084163,0.0004535732,0.0002939841,0.0006316463,0.0006756925,0.001359855,0.002987461,0.0006758599,0.005414934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199711,"about_ca_system_score_gemma":0.001929026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377463,"about_ca_topic_score_gemma":0.01046543,"domain_scores_codex":[0.9965725,0.002409813,0.0001663978,0.0002095493,0.0002899927,0.0003517492],"domain_scores_gemma":[0.9957182,0.001324397,0.0003522335,0.0007438572,0.00100838,0.0008530422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001368867,0.0077582,0.1968681,0.001413143,0.00008103352,0.002988515,0.2578973,0.0005899161,0.03218087,0.003313676,0.04120914,0.4543312],"study_design_scores_gemma":[0.001163726,0.01289479,0.2604205,0.001538205,0.0002383263,0.001769153,0.3630413,0.009886009,0.02008767,0.008533617,0.3200361,0.0003907118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136729,0.0002281629,0.02071711,0.002859694,0.0002581438,0.02958926,0.001558849,0.0006084205,0.03050752],"genre_scores_gemma":[0.865104,0.0005033194,0.05993254,0.003081973,0.0002332328,0.05152474,0.0009991862,0.0001050024,0.01851587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061293,"threshold_uncertainty_score":0.0355038,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387720882","doi":"10.1016/j.trip.2023.100932","title":"Road user behavior: Describing, inferring, predicting and beyond","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Computer science; Visualization; Data collection; Data science; Descriptive statistics; Data visualization; Behavioral analysis; User needs; Human–computer interaction; Data mining; Cognitive psychology; Psychology; Statistics; Multimedia; Mathematics","authors":[{"name":"Birsen Donmez","is_ca":true},{"name":"Anthony D. McDonald","is_ca":false},{"name":"John D. Lee","is_ca":false},{"name":"Linda Ng Boyle","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05577124137438584,"gpt":0.3522238503448504,"spread":0.2964526089704646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03018792,0.0008085626,0.0007557184,0.005857825,0.001162338,0.008059128,0.001425301,0.001373723,0.0009903088],"category_scores_gemma":[0.07501686,0.0004560861,0.000838045,0.009394063,0.00392997,0.01052355,0.00191515,0.001736488,0.0004555323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627076,"about_ca_system_score_gemma":0.003396835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147605,"about_ca_topic_score_gemma":0.01266284,"domain_scores_codex":[0.9669431,0.02404793,0.002742075,0.002303603,0.003471854,0.0004913104],"domain_scores_gemma":[0.8872766,0.08807308,0.006481853,0.01075754,0.006901999,0.0005088467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002483633,0.0002886666,0.4301267,0.002958137,0.000409978,0.0003062434,0.07095895,0.006164958,0.005001581,0.0710074,0.003555416,0.4089737],"study_design_scores_gemma":[0.00003646035,0.0005780435,0.5314577,0.00396866,0.0005674657,0.001554789,0.1168929,0.05937887,0.01185797,0.2122356,0.06091132,0.0005603248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4286529,0.004786641,0.52863,0.007083264,0.00009718515,0.001244702,0.004481775,0.0007290297,0.02429446],"genre_scores_gemma":[0.8359956,0.002408824,0.15791,0.0004423158,0.0000564256,0.0006022187,0.001779319,0.0001043416,0.0007009941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03018792,"threshold_uncertainty_score":0.1596509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386640866","doi":"10.1016/j.trip.2023.100917","title":"The impact of COVID-19 on Canadian restaurant operations and the likelihood of pivoting off-dining options post-COVID-19","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Premise; Pandemic; Coronavirus disease 2019 (COVID-19); Business; Empirical evidence; Marketing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Advertising; Medicine","authors":[{"name":"Gumataw Kifle Abebe","is_ca":true},{"name":"Sylvain Charlebois","is_ca":true},{"name":"Janet Music","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1000885706138664,"gpt":0.4186464021300598,"spread":0.3185578315161934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008384623,0.0002924449,0.000196894,0.0007900955,0.001830614,0.00112296,0.00102826,0.0004203267,0.003434777],"category_scores_gemma":[0.004511176,0.0002538965,0.0006256758,0.001576448,0.0007691419,0.0005127674,0.001101935,0.0009640813,0.0003075706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224728,"about_ca_system_score_gemma":0.01386323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9599805,"about_ca_topic_score_gemma":0.9783983,"domain_scores_codex":[0.9989235,0.00009781236,0.00006111457,0.0001438349,0.0003283074,0.0004453927],"domain_scores_gemma":[0.9960148,0.0003802567,0.001329938,0.000186335,0.001290279,0.0007984316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001004196,0.00003909202,0.9927833,0.00002202524,0.00003010921,0.000104807,0.001118978,0.0002282281,0.000233126,0.0001108654,0.0004221665,0.004806856],"study_design_scores_gemma":[0.00000100746,0.00002206889,0.9973035,0.000009854535,0.000005725924,0.00001788975,0.002030341,0.0001914272,0.00004943148,0.00001240233,0.0003493387,0.000007055969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994772,0.0001473735,0.0001216346,0.0001969659,0.000006621103,0.00002905367,0.001644098,0.000006162754,0.003075991],"genre_scores_gemma":[0.9977914,0.0001823627,0.0001483457,0.00003586999,0.00000345535,0.000009328031,0.001081991,0.000002642269,0.0007446571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04001951,"threshold_uncertainty_score":0.08886063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405533212","doi":"10.1016/j.trip.2024.101309","title":"Safe delivery of goods and services with smart door locks: Unlocking potential use","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Norges Forskningsråd; Réseau de cancérologie Rossy","keywords":"Business; Internet privacy; Computer security; Computer science","authors":[{"name":"Gunnhild Beate Antonsen Svaboe","is_ca":false},{"name":"Kristin Ystmark Bjerkan","is_ca":false},{"name":"Solveig Meland","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03979290420496322,"gpt":0.3363568981765628,"spread":0.2965639939715996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003633695,0.0002529597,0.0002368282,0.001245536,0.000690972,0.002712926,0.0007131582,0.000625581,0.003115467],"category_scores_gemma":[0.01454374,0.0003037138,0.000539256,0.0009333494,0.001477044,0.005685999,0.002249846,0.0005764398,0.0003739574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463735,"about_ca_system_score_gemma":0.001048439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165868,"about_ca_topic_score_gemma":0.002743026,"domain_scores_codex":[0.9971032,0.001466904,0.0002292465,0.0002104046,0.0006840638,0.0003061164],"domain_scores_gemma":[0.9830788,0.009581441,0.003571766,0.001469715,0.001720184,0.000577996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006853981,0.0005008202,0.5483044,0.0008244473,0.000115777,0.00129732,0.04568879,0.001428124,0.01848442,0.01934759,0.0009473619,0.3623755],"study_design_scores_gemma":[0.00008951216,0.003428432,0.7660852,0.001246859,0.0003660051,0.003762435,0.1281484,0.01723532,0.01610481,0.01922975,0.04402214,0.0002811731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850552,0.00025874,0.007052844,0.0005441114,0.00001073675,0.00006870906,0.00005778769,0.0000319474,0.006920015],"genre_scores_gemma":[0.9955362,0.0001340775,0.003570475,0.00003814273,0.000004474283,0.00002636228,0.00002059829,0.000005261496,0.0006643651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003633695,"threshold_uncertainty_score":0.01921701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404233407","doi":"10.1016/j.trip.2024.101275","title":"An evaluation of pedestrian crash risk factors at urban intersections in a developing country: Comparing the classification accuracy of methods accounting for unobserved heterogeneity","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Pedestrian; Econometrics; Crash; Computer science; Statistics; Geography; Economics; Transport engineering; Engineering; Mathematics","authors":[{"name":"Javad Esmailpour","is_ca":true},{"name":"Kayvan Aghabayk","is_ca":false},{"name":"Arsalan Esmaili","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2062537679940162,"gpt":0.4822221697629884,"spread":0.2759684017689722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01634799,0.0009545293,0.0009933037,0.003439906,0.0006758635,0.001617651,0.001042446,0.0009733212,0.0009562629],"category_scores_gemma":[0.02826335,0.0003278655,0.002529674,0.001842796,0.0005698009,0.001562218,0.00118768,0.001177429,0.0003288143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016952,"about_ca_system_score_gemma":0.001224384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483993,"about_ca_topic_score_gemma":0.008848705,"domain_scores_codex":[0.9950148,0.002735145,0.0003277856,0.0009267488,0.0006451404,0.000350416],"domain_scores_gemma":[0.9726332,0.01993729,0.002517067,0.002041489,0.002380089,0.0004909014],"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":[0.0008164656,0.0003319474,0.9489911,0.00009634905,0.001032326,0.0000780839,0.0005636347,0.01298285,0.0002075018,0.0002940337,0.0004659083,0.03413977],"study_design_scores_gemma":[0.00008948722,0.001702072,0.7727565,0.0001604685,0.001064279,0.0003590165,0.003194168,0.2169777,0.00112558,0.001372212,0.001088164,0.0001105028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911877,0.0007248941,0.006741145,0.0001657329,0.00003434408,0.00006732593,0.0004462537,0.00004299054,0.0005896496],"genre_scores_gemma":[0.9958168,0.0002163028,0.003035323,0.0000256644,0.00001896676,0.00003138183,0.0007063471,0.000006857936,0.0001424881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634799,"threshold_uncertainty_score":0.08645749,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405804941","doi":"10.1016/j.trip.2024.101305","title":"Purchase subsidies for 100% zero-emissions vehicle sales goals: Effectiveness, government cost, and supplier capture","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund","keywords":"Subsidy; Business; Zero (linguistics); Government (linguistics); Zero emission; Environmental economics; Finance; Economics; Waste management; Engineering; Market economy","authors":[{"name":"Chandan Bhardwaj","is_ca":true},{"name":"Jonn Axsen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03892005541848731,"gpt":0.3719084471144798,"spread":0.3329883916959925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105554,0.0006163882,0.0007859984,0.0006581035,0.000563174,0.001132824,0.001499029,0.001396604,0.007265253],"category_scores_gemma":[0.004148846,0.0003715914,0.0009635359,0.0006882462,0.0007995112,0.0006966431,0.0006664158,0.001415233,0.0003151589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008019456,"about_ca_system_score_gemma":0.006367805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4891493,"about_ca_topic_score_gemma":0.4057514,"domain_scores_codex":[0.9996262,0.00008309833,0.000009056858,0.00003976366,0.00004067694,0.0002012838],"domain_scores_gemma":[0.997851,0.001229009,0.00026113,0.00008578769,0.0003799362,0.0001932144],"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":[0.0001925757,0.0001707254,0.01094745,0.00005890851,0.00002649698,0.00006578749,0.00003409067,0.9794012,0.0004224853,0.004923536,0.00132523,0.002431572],"study_design_scores_gemma":[0.0001320502,0.000199515,0.01135097,0.00002853991,0.00006188059,0.00001831367,0.0002707601,0.9840401,0.0006001494,0.001903006,0.001371021,0.00002379347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671512,0.0001974192,0.006580303,0.0007416903,0.00002427253,0.0001750499,0.002575806,0.0001384309,0.02241579],"genre_scores_gemma":[0.9943174,0.00009426961,0.002085465,0.00006698041,0.000002272761,0.00006763829,0.000533425,0.0000130289,0.002819623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4891493,"threshold_uncertainty_score":0.9726043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404678270","doi":"10.1016/j.trip.2024.101276","title":"Implications of carbon Taxing policies on the food supply chain in Canada","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada; Cape Breton University; Dalhousie University","funders":"","keywords":"Food supply; Supply chain; Business; Food chain; Natural resource economics; Economics; Agricultural economics; Marketing; Biology; Ecology","authors":[{"name":"Sylvain Charlebois","is_ca":true},{"name":"Gumataw Kifle Abebe","is_ca":true},{"name":"Tony R. ‎Walker","is_ca":true},{"name":"Vlado Kešelj","is_ca":true},{"name":"Janet Music","is_ca":true},{"name":"Keshava Pallavi Gone","is_ca":true},{"name":"Karim Tuffaha","is_ca":true},{"name":"Janèle Vézeau","is_ca":true},{"name":"Bibhuti Sarker","is_ca":true},{"name":"Stacey Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1422056674625771,"gpt":0.3547464328913237,"spread":0.2125407654287467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006428313,0.0002670084,0.0002690361,0.001308069,0.004699538,0.003652523,0.0009142529,0.0007806728,0.005298139],"category_scores_gemma":[0.003933249,0.0002051614,0.0006248528,0.004287608,0.001214589,0.0008887732,0.001013788,0.001333727,0.0002064042],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1691208,"about_ca_system_score_gemma":0.1684942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987954,"about_ca_topic_score_gemma":0.9991517,"domain_scores_codex":[0.998447,0.00009665112,0.0000335191,0.0001027963,0.0004557702,0.0008642399],"domain_scores_gemma":[0.9974305,0.0002585583,0.0001762951,0.00004570368,0.001688724,0.0004001065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009282023,0.0003169028,0.4250275,0.0005944601,0.0002900219,0.002906734,0.005894227,0.1190723,0.003465666,0.2177996,0.09185036,0.1318539],"study_design_scores_gemma":[0.0001188381,0.0001388198,0.7367368,0.0005248322,0.0003277429,0.0002203369,0.03382399,0.07714672,0.002868921,0.02120178,0.1266205,0.0002706068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598278,0.002679912,0.001238599,0.02239975,0.0001496106,0.0001370225,0.0090123,0.0001008136,0.1044543],"genre_scores_gemma":[0.9863321,0.00171522,0.0006892493,0.0005875774,0.000009393437,0.00001324907,0.001130326,0.00001378747,0.009509169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691208,"threshold_uncertainty_score":0.9637021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405659567","doi":"10.1016/j.trip.2024.101310","title":"Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings","year":2024,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Flow (mathematics); Transport engineering; Business; Geography; Economic geography; Engineering; Automotive engineering; Mathematics","authors":[{"name":"Hanna Maoh","is_ca":true},{"name":"Sidra Anis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03379207814728748,"gpt":0.3938560338291824,"spread":0.360063955681895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156393,0.0006679606,0.0002468607,0.0007214273,0.0009361749,0.001036596,0.0006629144,0.0005096486,0.001702059],"category_scores_gemma":[0.0007830107,0.0002369174,0.0005510445,0.001250714,0.0004877009,0.0006172212,0.0004365041,0.0004315239,0.0001567714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006879424,"about_ca_system_score_gemma":0.004925662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7621207,"about_ca_topic_score_gemma":0.7023237,"domain_scores_codex":[0.9997891,0.00003162212,0.000004193757,0.00003057821,0.00005441577,0.00009010641],"domain_scores_gemma":[0.9996359,0.00009263971,0.00003451191,0.00001601036,0.0001564336,0.00006433915],"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":[0.00007776198,0.0001226414,0.02740548,0.00003199836,0.00004094663,0.0002218793,0.00007552477,0.9627982,0.002010278,0.001722321,0.0006128885,0.004880052],"study_design_scores_gemma":[0.00001941927,0.0001910561,0.02304705,0.00001550169,0.00004878694,0.00004518474,0.00059472,0.9718974,0.002209427,0.0005795123,0.001324781,0.00002708954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903723,0.00006411261,0.00215863,0.00009091563,0.0000134587,0.00004979301,0.0004324718,0.00005271236,0.006765632],"genre_scores_gemma":[0.9969046,0.0001248307,0.000981695,0.00001328613,0.000001091265,0.00001198077,0.0004461024,0.000006176649,0.001510346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378793,"threshold_uncertainty_score":0.4785604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411536522","doi":"10.1016/j.trip.2025.101504","title":"Accessibility of third-party transit apps and the role of transit agencies and their open data","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"York University; Carnegie Mellon University","keywords":"Transit (satellite); Business; Third party; Transport engineering; Computer science; Internet privacy; Computer security; Public transport; Engineering","authors":[{"name":"Mahtot Gebresselassie","is_ca":true},{"name":"Melanie Baljko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05712892081520379,"gpt":0.3910408978298088,"spread":0.333911977014605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01825947,0.0002729823,0.0003469222,0.002430154,0.007095058,0.01478651,0.001125018,0.002012553,0.00501653],"category_scores_gemma":[0.04737144,0.0003852283,0.0005013394,0.002787057,0.01665799,0.01403911,0.009077279,0.003334685,0.000421868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005183562,"about_ca_system_score_gemma":0.007134502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719427,"about_ca_topic_score_gemma":0.01337602,"domain_scores_codex":[0.9684623,0.02192574,0.001296598,0.001784861,0.004610118,0.001920382],"domain_scores_gemma":[0.9301756,0.0484616,0.007348371,0.004777749,0.006536505,0.002700238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008046893,0.00012206,0.0360361,0.0003648565,0.00002297234,0.0009873651,0.763047,0.0002024112,0.001339427,0.1474296,0.002913296,0.04745441],"study_design_scores_gemma":[0.00001639246,0.0001214686,0.02764326,0.001031331,0.0000339709,0.000839186,0.7988124,0.0007672932,0.001145917,0.02347275,0.1460445,0.00007155523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8421964,0.001495661,0.01804174,0.01901902,0.0001285317,0.0001767217,0.0001778986,0.0000978563,0.1186662],"genre_scores_gemma":[0.9950972,0.0003973531,0.001438782,0.0005664358,0.00001853231,0.0000689133,0.0000314451,0.00002833853,0.00235289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825947,"threshold_uncertainty_score":0.0965665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409671928","doi":"10.1016/j.trip.2025.101424","title":"Will users practice what they preach? Exploring the influencing factors of the intention behaviour gap in electric vehicles adoption","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Business; Psychology","authors":[{"name":"Wanying Wang","is_ca":false},{"name":"Moataz Mohamed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03574838802051396,"gpt":0.3332046790833096,"spread":0.2974562910627957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003512718,0.0002233893,0.0002772374,0.0007999875,0.0006619949,0.002261184,0.0004902061,0.0008274564,0.002861003],"category_scores_gemma":[0.02280262,0.0003341922,0.0006073479,0.0006619504,0.001032339,0.002599367,0.001111443,0.001218494,0.000452287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060389,"about_ca_system_score_gemma":0.001550252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315509,"about_ca_topic_score_gemma":0.01623838,"domain_scores_codex":[0.9976531,0.0009329317,0.0002073022,0.0002517411,0.0005427319,0.0004123014],"domain_scores_gemma":[0.9793127,0.01279685,0.003821294,0.0006227451,0.002415823,0.001030767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001186594,0.0002996188,0.9569138,0.00009761333,0.00005045852,0.0001550078,0.02078634,0.0001884498,0.0005993106,0.001009297,0.0001918817,0.01958949],"study_design_scores_gemma":[0.00001029186,0.000214613,0.9461673,0.00008716774,0.00006118885,0.0001477918,0.04727287,0.00314158,0.0005071571,0.0009536195,0.001406246,0.00003001823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967166,0.00008463879,0.0005795436,0.0002615481,0.000003849864,0.00002396855,0.00002618826,0.000007853648,0.002295952],"genre_scores_gemma":[0.9995155,0.00004358305,0.0001926899,0.00003275127,0.000001428284,0.00001270005,0.00002269021,0.000002280218,0.0001763793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01315509,"threshold_uncertainty_score":0.02615708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}